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A Pure Java HPCC Grid Architecture

01.05.2014 19:30

JUST.GridIACFeb2004.pdf (3,7 MB)

 

 ©2004 University of Applied Sciences Wolfenbuettel

and CLE, Department of High Performance Computing
LOGISTIK ZENTRUM
CLE
JUSTGrid
A Pure Java HPCC Grid Architecture
for Multi-Physics Solvers
Using Complex Geometries.
Jochem Hauser*, Thorsten Ludewig*
Torsten Gollnick*, and Hans-Georg Paap†
*Dept. of High Performance Computing
Center of Logistics and Expert Systems (CLE) GmbH
Salzgitter, Germany
†HPC Consultant
Barbing, Germany
presented at
IAC Rome, Italy, 2 February 2004
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 2
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Overview
Why Java for HPCC?!
What is JUSTGrid? (Framework)
JUSTGrid Communication Overview
Object Oriented Programming (OOP)
Threads
Graphical Applications
Java Performance Results
Conclusions
Future Work
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 3
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Java as the Language for HPCC
platform independence
simple and straight forward parallelization
unique included network capabilities
JDBC (Java Database Connectivity)
RMI (Remote Method Invocation)
Secure Connections over the Inter- and Intranet
easy generation of object reflecting the engineering design
process
,,code reusability'' - simplifies code design
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 4
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Why we like to use Java for writing highquality
portable parallel programs?
pure object formulation (i.e. an object representation of a
wing, fuselage, engine etc. described by a set of classes
containing the data structures and methods for a specific
item)
strong typing
exception model
elegant threading
portability
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 5
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
What is JUSTGrid
This is an age of possibility, and IT is the driving force behind this
change that occurs on a global range.
High Performance Computing and Communications (HPCC) on a
global scale is the key of this new economy.
The need for accurate 3D simulation in numerous areas of
computationally intensive industrial applications, including the rapidly
evolving field of bioscience, requires the development of ever more
powerful HPCC resources for a computational Grid based on the
Internet.
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 6
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
What is JUSTGrid
The Java language has the potential to bring about a revolution in
computer simulation. Using Java's unique features, a multidisciplinary
computational Grid, termed JUSTGrid, can be built
entirely in Java in a transparent, object-oriented approach.
JUSTGrid provides the numerical, geometric, parallel, and network
infrastructure for a wide range of applications in 3D computer
simulation thus substantially alleviating the complex task of software
engineering.
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 7
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Scope of JUSTGrid
3D Complex Geometries
Parallelization
Dynamic Load Balancing
Internet
Collaborative
Engineering Outsourcing Interactive
Steering
System
Security
Solver Visualization
Navier Stokes
(fluid dynamics)
Maxwell
(electromagnetics)
Schrödinger
(quantum mechanics)
Surface
Conversion
Debugging
Results Session Tracking
JUSTGrid a framework for HPCC in engineering,
science, and life sciences
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 8
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Scope of JUSTGrid
A solver only needs to contain the physics and numerics
of the simulation task for a single block or a single
domain.
The solver does not need to know anything about the
geometry data or the parallelization.
It has a simple structure
The solver can be tested independently before its
integration
Replacing the default solver by one's own solver.
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 9
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Communication Overview
RMI based
Network
Solver/Code Development
Visualization
Collaborative Engineering
Server
Session-ID
Session-ID
Session-ID
Session-ID
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 10
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Communication Overview
Client Server
Client
sends the data AND the java solver code to the
server and receives a unique session id to
identify the session on the server.
Server
provides a framework for multi physics solver
Database Server
interactive steering
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 11
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Communication Overview
Client Server
with the unique session id everyone can
connect to a specific session on the server
start / stop session
changing the conditions of the computation
visualization
debugging
collaborative work
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 12
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
OOP - Object Oriented
Programming
Abstract Data Types
The association between the declaration of a data type and
the declaration of the code that is intended to operate upon
variables of this type
Data hiding and encapsulation
Protecting the data of an object from improper modification
by forcing the user to access the data trough a method.
class name
+variable1: integer
+variable2: double
+method1
+method2
Encapsulation of
data in an Object
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 13
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
OOP Example
Programming in 'C'
Programming in 'Java'
struct my_date {
int day, month, year;
} date;
date.day = 32;
public class MyDate {
private int day, month, year;
public void setDay( int day ) {
... validation code ...
}
}
MyDate myDate = new MyDate();
myDate.setDay( 32 );
ERROR!
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 14
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Threads
an efficient way of parallelizing codes
What are Threads?
Multithreaded programs extends the idea of multitasking by
taking it one level further: individual programs (processes) will
appear to do multiple tasks at the same time.
Programs that can run more than one thread at once are said
to be multithreaded.
Each task is usually called thread which is the short form for
thread of control.
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 15
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
What are threads?
Three Parts of a Thread
A virtual CPU
The code the CPU is executing
The data the code works on
CPU
Code Data
A thread or
execution context
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 16
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Why Threads are good for CFD
Threads as a general parallelization strategy for CFD
codes
Sophisticated dynamic load balancing algorithms on
shared-memory machines
Advanced numerical schemes in CFD, i.e. GMRES, do not
require the same computational work for each grid cell.
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 17
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
ClientGUI
Why we like to use simple graphical user interface for the
JUSTGrid?
Because for a non-Programmer it is to difficult to collect all
different parts needed for a JUSTGrid session into a Java
source text and compile it for himself.
It is easier to run a quick test case without falling into
common programming traps.
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 18
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
JUSTGrid Simple Client GUI
 
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 20
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
GRX Tool
Online
Visualization
Interactive
steering
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 21
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
GRX Tool
Online video generation
Integrated video player
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 22
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
GRX 3D Tool
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 23
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Virtual Visualization Toolkit
(VVT / ShowMe3D)
The idea of ShowMe3D is to develop a light weight
application, which is easy to use, with a limited (but useful)
set of functionality.
visualization
Geometry (surface)
results of a computation
debugging
online client - server connection
e.g. boundary updates
surface converting
e.g. quads to triangles
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 24
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
ShowMe3D: Motivation
This program is designed for all programmers of Solver
Objects.
Based on the online "view" into the Server it can be very
helpful for debugging.
it is NOT designed to provide complete post processing
like TecPlot or Ensight
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 25
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
ShowMe3D (continued)
Today's implementation of ShowMe3D contains
Visualization
Geometry data
a tree view of the Java 3D scene graph
Surface conversion
for Alias Wave Front Objects only
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 26
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
ShowMe3D: main
The main window contains all the GUI elements for the file
input / output and visualization options
load geometry
save geometry
shaded view
wire frame view
system properties
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 27
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
ShowMe3D: file types
ShowMe3D can load 2D and 3D object data in different file
formats
Triangle
Plot3D
Plane 2D
Plane 3D
Volume 3D
Autodesk/AutoCAD DXF
AliasWavefront Objects
3D StudioMAX
LightWave
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 28
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
ShowMe3D: Application
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 29
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Java High Performance and
Communications Test Suite
In the following series of slides we will demonstrate Java's
amazing numerical performance gains obtained over the
last few years.
Java numerical performance now rivals or exceeds that of
C or C++ codes used in engineering.
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 30
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Simple numeric Benchmark
Simple numeric benchmark on a Sun Microsystems
Enterprise 10000 with 64 UltraSPARC II CPUs
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Simple numeric without communication 10e11 iterations
Time in s
Speedup
Number of CPUs
Time in seconds
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 31
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Mandelbrot Benchmark
Mandelbrot Set dimension 7200 x 4800, max iterations
5000 running 400 threads on a Sun Microsystems
Enterprise 6000 with 28 processors.
This code tests the self-scheduling of threads.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
0,0
2,5
5,0
7,5
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0%
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110%
speedup
efficiency
Number of CPUs
Speedup
DEMO
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 32
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Matrix Multiply
for comparison, we have a Java
and a C++-coded version of the
sequential block-matrix multiply
that does not use threads and
multithreaded Java and C++
version.
to compare floating point
performance for scientific
applications between C++ and
Java on the test machines
to measure parallel efficiency
of a multithreaded application
Exactly the following source was used
for both benchmarks. (C++ and Java)
// get start time here
for( n=0; n
{
for( i=0; i
{
for( j=0; j
{
for( k=0; k
{
c[i][j] += a[i][k]*b[k][j];
}
}
}
}
// get end time here
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 33
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Sequential Matrix Multiplication
Runtime (2GHz Pentium 4, 1GB Memory) 1 run 2 run 3 run 4 run 5 run 6 run 7 run 8 run
3,15 3,19 3,22 3,16 3,15 3,17 3,16 3,16
3,23 3,23 3,25 3,23 3,23 3,23 3,23 3,25
3,86 3,88 3,90 3,90 3,90 3,90 3,89 3,90
3,55 3,51 2,12 2,12 2,12 2,12 2,13 2,12
GNU g++ -O3 -mcpu=pentium4
-march=pentium4 -Wall (Version 3.3.1)
Intel icc -O3 -mcpu=pentium4 -march=pentium4
(Version 8.0)
Sun Java HotSpot Client VM
(Version 1.4.2_02-b03)
Sun Java HotSpot Server VM
(Version 1.4.2_02-b03)
A sequential (1 thread) matrix multiplication using a 30
times 30 matrix doing 10000 iterations on a single
processor Pentium 4 PC running Linux.
After the two warmup phases in the Sun Java HotSpot
Server VM. This runtime is about 1.5 times faster then the
compiled C++ binary.
Due to a Linker error we could not use the -fast option
with the Intel compiler.
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 34
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Multithreaded Matrix Multiplication
Multithreaded matrix multiplication using a 100 times 100
matrix doing 10000 iterations with 400 threads on a 26
CPU Sun Microsystems Enterprise 6000.
Runtime time in s
1.1.8_14 516,94
1.2.2_08 38,97
1.3.0_03 Server 37,47
1.3.1_02 Server 21,69
1.4.0_01 Server 19,51
1.4.1_02 Server 17,31
C++ - GCC 26,65
C++ - Forte 6u1 17,26
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 35
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Multi-threaded Matrix Multiplication
Results a 100 x 100 matrix doing 10,000 iterations with 400
threads on the E6000 (26 CPUs)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
0,0
2,5
5,0
7,5
10,0
12,5
15,0
17,5
20,0
22,5
25,0
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
110%
speedup
efficiency
Number of CPUs
Speedup
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 36
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Euler 3D Comparison
As a reference sample to check the correct
communication (boundary update) of the JUSTGrid we
computed a 3D cone with the JUST Euler 3D solver and
CFD++
JUST Euler 3D
CFD++
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 37
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Conclusions
With JUSTGrid a modern, well structured, easy to use and extensible
framework for HPCC is provided.
The code developer is freed from dealing with complex geometries, dynamic
load balancing and inter block or domain communication.
A numerical framework for a system of hyperbolic conservation laws is
installed, based on the integral form of the conservation equations
The parallel efficiency is obtained if a sufficient number of threads and
sufficient computational work within a thread can be provided.
The execution speed of Java code has increased substantially over the last few
years and now rivals the speed of C and C++ codes. More is too be expected.
Further work will be needed, but we following Kernighan's rules Make it right
before you make it faster as well as Don't patch bad code, rewrite it, the latter
rule being the reason for a pure Java flow solver code.
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 38
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Future Work
Extending the JUSTGrid parallel layer to work with
distributed memory machines (Beowulf cluster). (e.g.,
JavaSpaces, JINI, Sockets)
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 39
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
Acknowledgments
This work is partly funded by the ministry of Sciences and
Culture of the State of Lower Saxony, Germany under
AGIP 1999.365 EXTV program.
We are particularly grateful to Sun Microsystems,
Benchmark Center, Germany for providing exclusive
access to a 28 CPU Sun Enterprise 6000 server.
We are grateful to Mr. Jean Muylaert for providing
information about the European eXperimental Test
Vehicle.
This work is part of the Ph.D. work of Thorsten Ludewig
©2004 University of Applied Sciences Wolfenbuettel and CLE, Department of High Performance Computing page 40
Jochem Hauser et al. IAC Rome, Italy, 2 February 2004
References
Ginsberg,M., Häuser,J.,Moreira, J.E.,Morgan R., Parsons, J.C., Wielenga, T.J.
Panel Session: future directions and challenges for Java implementations of numeric-intensive industrial
applications published in: Advances in Engineering Software, Elsevier, 31,2000, p.743-751
Häuser,J., Ludewig, T., Williams, Roy D., Winkelmann, R., Gollnick, T., Brunett, S., Muylaert, J.
A Test Suite for High Performance Parallel Java published in: Advances in Engineering Software, Elsevier,31,
2000, p.687-696
Häuser,J., Ludewig, T., Williams, Roy D., Winkelmann, R., Gollnick, T., Brunett, S., Muylaert, J.
A Test Suite for High Performance Parallel Java paper presented at 5th National Symposium on Large-Scale
Analysis, Design and Intelligent Synthesis Environments, Williamsburg, VA, October 12th to 15th, 1999
Häuser,J., Ludewig, T., Williams, Roy D., Winkelmann, R., Gollnick, T., Brunett, S., Muylaert, J.
NASA Panel Java Soundbytes paper presented at 5th National Symposium on Large-Scale Analysis, Design and
Intelligent Synthesis Environments, Williamsburg, VA, October 12th to 15th, 1999
Häuser, J., Ludewig, Th., Gollnick, T., Winkelmann, R., Williams, R., D., Muylaert, J., Spel, M.,
A Pure Java Parallel Flow Solver, published in: Proceedings of the 37th AIAA Aerospace Sciences Meeting and
Exhibit, AIAA 99-0549 Reno, NV, USA, January 11.-14., 1999.
Häuser J., Williams R.D, Spel M., Muylaert J., ParNSS: An Efficient Parallel Navier-Stokes Solver for Complex
Geometries, AIAA 94-2263, AIAA 25th Fluid Dynamics Conference, Colorado Springs, June 1994.
 

 

Current Research in Gravito-Electromagnetic Space Propulsion

01.05.2014 19:18
 
Current Research in Gravito-Electromagnetic
Space Propulsion
Walter Dröscher and Jochem Hauser 1
Institut für Grenzgebiete der Wissenschaft, 6010 Innsbruck, Austria
Abbreviated Version 2
Figure 1. The figure shows a combination of two pictures. The first one shows an artist’s concept of two Jupiter like planets,
detected by NASA’s Spitzer Space Telescope. Spitzer captured for the first time, February 2007, enough light to take the spectra
of these two gas exoplanets, called HD 209458b and HD 189733b. These so-called "hot Jupiters" are like Jupiter, but orbit much
closer to their sun. Molecules were identified in their atmospheres. HD 189733b is about 63 light years away in the constellation
Vulpecula, and HD 209458b is approximately 153 light years away in the constellation Pegasus. The second picture, lower right,
depicts the principle of gravito-magnetic space propulsion. For further explanations see Fig. 5 of this paper.
1 Permanent address: Faculty Karl-Scharfenberg, Univ. of Applied Sciences, Salzgitter Campus, 38229 Salzgitter, Germany
2 Mathematical derivations were omitted in this abbreviated version
3 4 5
Abstract: Spaceflight, as we know it, is based on the century old rocket equation that is an embodiment of the conservation of
linear momentum. Moreover, special relativity puts an upper limit on the speed of any space-vehicle in the form of the velocity
of light in vacuum. Thus current physics puts severe limits on space propulsion technology.
This paper presents both recent theoretical and experimental results in the novel area of propulsion research termed gravitomagnetic
field propulsion comprising the generation of artificial gravitational fields. In the past, experiments related to any
kind of gravity shielding or gravito-magnetic interaction proved to be incorrect. However, in March 2006 the European Space
Agency (ESA) announced credible experimental results, reporting on the measurement of artificial gravitational fields (termed
gravito-magnetic fields), generated by a rotating Niobium superconductor ring that was subjected to angular acceleration. These
experiments were performed by M. Tajmar and colleagues from ARC Seibersdorf, Austria and C. de Matos from ESA, and
recently were repeated with increased accuracy.
Extended Heim Theory (EHT), published in a series of papers since 2002, predicted the existence of such an effect, resulting
from a proposed interaction between electromagnetism and gravitation. In EHT, which is a consequent extension of Einstein’s
idea of geometrization of all physical interactions, the concept of poly-metric developed by the German physicist B. Heim
is employed. As a consequence of this geometrization, EHT predicts the existence of six fundamental interactions. The two
additional interactions are identified as gravitophoton interaction, enabling the conversion of photons into a gravitational
like field, represented by two hypothetical gravitophoton (attractive and repulsive) particles, and the quintessence particle,
a weak repulsive gravitational like interaction (dark energy?). The experiments by Tajmar et al. (the artificial gravitational
force, however, was observed only in the circumferential direction of the superconducting ring) can be explained by the joint
generation of quintessence particles and gravitons. EHT is used to provide a physical model for the existence of the artificial
gravitational field, and to perform comparisons with experimental data.
In the next step, it is shown that the gravitophoton interaction could be used to devise a novel experiment in which the artificial
gravitational field would be directed along the axis of rotation, and thus this force could serve as the basis for a field propulsion
principle working without fuel. Based on this novel propulsion concept, missions to the international space station (LEO), the
planned moon basis, to Mars, and missions to the outer planets are analyzed. Estimates for the magnitude of magnetic fields
and necessary power are presented as well as for trip times.
PRESENT CONCEPTS OF SPACE PROPULSION
Current space transportation systems are based on the principle of momentum generation, regardless whether they
are chemical, electric, plasma-dynamic, nuclear (fission) or fusion, antimatter, photonic propulsion (relativistic)
and photon driven (solar) sails, or exotic Bussard fusion ramjets. The specific impulse achievable from thermal
systems ranges from some 500 s for advanced chemical propellants (excluding free radicals or metastable atoms),
approximately 1,000 s for a fission solid-core rocket (NERVA program [1] ) using hydrogen as propellant (for a
gas-core nuclear rocket specific impulse could be 3,000 s or higher but requiring very high pressures), and up to
200,000 s for a fusion rocket [2]. Although recently progress was reported in the design of nuclear reactors for plasma
propulsion systems [3] such a multimegawatt reactor has a mass of some 3106 kg and, despite high specific impulse,
has a low thrust to mass ratio, and thus is most likely not capable of lifting a vehicle from the surface of the earth.
For fusion propulsion, the gasdynamic mirror has been proposed as highly efficient fusion rocket engine. However,
recent experiments revealed magnetohydrodynamic instabilities [4] that make such a system questionable even from a
physics standpoint, since magnetohydrodynamic stability has been the key issue in fusion for decades. The momentum
principle combined with the usage of fuel, because of its inherent physical limitations, does not permit spaceflight to
be carried out as a matter of routine without substantial technical expenditure.
At relativistic speeds, Lorentz transformation replaces Galilei transformation where the rest mass of the propellant
is multiplied by the factor (1=
p
1¤v2=c2) that goes to infinity if the exhaust velocity v equals c, the speed of light in
vacuum. For instance, a flight to the nearest star at a velocity of some 16 km/s would take about 80,000 years. On the
other hand, a space vehicle with a mass of 106 kg at the high velocity of 105 km/s would take approximately 12.8 years
to reach this star. Its kinetic energy would amount to about 51021 J. Supplied with a 100 MW nuclear reactor, it
would take some 1.5 million years to generate this amount of energy. Current physics requires that energy conservation
is strictly adhered to and does not permit to extract energy from the vacuum. However the physical properties of the
3 Invited paper O-42, plenary session 7th International Symposium on Launcher Technologies 2007, 2-5 April 2007, Barcelona, Spain
4 ©Institut für Grenzgebiete der Wissenschaft Innsbruck, Austria 2007
5 The mathematical derivations in this paper rely on concepts explained in paper [11]. For lack of space these concepts are not presented here, see
www.hpcc-space.de for download.
vacuum are not known [18]. The energy density of the vacuum calculated by General Relativity (GR) and Quantum
Field Theory (QFT) differ by a factor of 10108, which means the error is in the exponent. Current physics clearly is open
to question. Moreover, it is obvious that if the speed of light cannot be transcended, interstellar travel is impossible.
We conclude with a phrase from the recent book on future propulsion by Czysz and Bruno [19]: If that remains the
case, we are trapped within the environs of our Solar System. In other words, the technology of spaceflight needs to be
based on novel physics that provides a novel propulsion principle. Most likely the physical properties of the vacuum
play an important role, although unknown at present.
Although advanced propulsion concepts as the ones described above must be pursued further, a research program
to look for fundamentally different propulsion principles is also both needed and justified, especially in the light of the
recent experiments by Tajmar et al. concerning the measurements of artificial gravitational fields [5], [6], [7], [8]. For
a popular description of this experimental work see [9], [10].
In addition, since 2002 ideas for a fundamental physical theory, termed Extended Heim Theory (EHT), predicting
two additional physical interactions that might give rise to the generation of artificial gravitational fields, have been
published, see for instance, [11], [12], [13], [14]. A popular description of this research may be found in [15], [16],
[17]. In the subsequent sections, EHT will be used to reproduce experimental values measured by Tajmar et al. and to
provide guidelines for a novel experiment that would serve as demonstrator for a propellantless propulsion device.
Needless to say, these ideas are highly speculative and their correctness can only be proved by experiment. However,
EHT makes precise predictions about the type and number of possible physical interactions. The proposed experiment
can be carried out with current technology to verify theoretical predictions.
PHYSICAL INTERACTIONS AND GEOMETRIZATION
In this section the fundamental structure of spacetime is discussed. The main idea of EHT is that spacetime possesses
an additional internal structure, described by an internal symmetry space, dubbed Heim space, denoted H8, which
is attached to each point of the spacetime manifold. The internal coordinates of H8 depend on the local (curvilinear)
coordinates of spacetime. This is analogous to gauge theory in that a local or gauge transformation is used. In gauge
theory it is the particles themselves that are given additional degrees of freedom, expressed by an internal space.
Consequently in the geometrization of physics, it is spacetime instead of elementary particles that has to be provided
with internal degrees of freedom. The introduction of an internal space has major physical consequences. The structure
of H8 determines the number and type of physical interactions and subsequently leads to a poly-metric. This means that
spacetime comprises both an external and internal structure. In general, only the external structure is observed,
but as has long been known experimentally, matter can be generated out of the vacuum. This is a clear sign that
spacetime has additional and surprising physical properties. Therefore, any physical theory that aims at describing
physical reality, needs to account for this fact. Since GR uses pure spacetime only, as a consequence, only part of the
physical world is visible in the form of gravitation.
This idea was first conceived by the German physicist B. Heim. A similar principle was mentioned by the Italian
mathematician B. Finzi. The poly-metric tensor resulting from this concept is subdivided into a set of sub-tensors, and
each element of this set is equivalent to a physical interaction or particle, and thus the complete geometrization of
physics is achieved. This is, in a nutshell, the strategy chosen to accomplish Einstein’s lifelong goal of geometrization
of physics 6. It must be noted that this approach is in stark contrast to elementary particle physics, in which particles
possess an existence of their own and spacetime is just a background staffage [32]. In EHT, considered as the
natural extension of GR, matter simply is a consequence of the hidden physical features of spacetime. These two
physical pictures are mutually exclusive, and experiment will show which view ultimately reflects physical reality. It
is, however, well understood that the concept of a pointlike elementary particle is highly useful as a working hypothesis
in particle physics.
6 There is of course a second aspect, namely the quantization of the spacetime field.
Geometrization of Space, Time, and Energy
In GR the geometrical structure of spacetime leads to a single metric that describes gravitational interaction.
Einstein’s pioneering efforts in the geometrization of physics revealed themselves unsuccessful [22] when more
interactions were discovered, and attempts to geometrize physics were abandoned. Einstein did not succeed in
constructing a metric tensor that encompassed all physical interactions. At almost the same time, B. Heim at the
space congress in Stuttgart, Germany 1952 and in [23], and also B. Finzi, 1955, see the recent book [24], published
similar ideas on the construction of a generalized metric tensor. Heim published further details of his theory in [25],
[26] constructing a poly-metric tensor in a 6D space. In collaboration with Heim this idea was extended to 8D by the
first author.
Einsteinian spacetime [20], [21] is indefinitely divisible and can be described by a differentiable manifold. In the
following derivation, which relates the metric tensor to physical interactions, this classical picture is used, though
most likely spacetime is a quantized field. The quantization of spacetime seems to play a role in the concept of
hyperspace or parallel space [14], which might allow superluminal velocities, but is not treated in this paper. GR can
be summarized by the single sentence: matter curves spacetime.
In curved spacetime the metric is written in the form
ds2 = gmndhmdhn (1)
where gmn is the metric tensor, h1;h2;h3 are the spatial coordinates, and h4 is the time coordinate. These coordinates
can be curvilinear. Einstein summation convention is used, i.e., indices occurring twice are summed over. From the
strong equivalence principle it is known (for instance see [27]) that at any point in spacetime a local reference frame
can be found for which the metric tensor can be made diagonal, i.e., gmn = hmn where hmn is the Minkowski tensor, 7
and reference coordinates are locally Cartesian (x1; x2; x3; x4) = (x; y; z; ct). This is equivalent to a transformation
between the two sets of coordinates, namely
dxm = Lm
n dhn and Lm
n =
¶ xm
¶hn (2)
In the free fall frame of the x coordinates the acceleration is 0, and thus the equation of motion simply is
d2xm
dt2 = 0 and ds2 = hmn dxmdxn (3)
where t denotes proper time, i.e., the time registered by a clock in its own reference frame. This means the clock is
stationary in this frame, and the time measured is the time shown on the clock’s dial. In order to obtain the equation of
motion for curvilinear coordinates h, one only needs to insert the transformation relations, Eq. (2), into Eq. (3), which
results in the geodesic equation
d2ha
dt2 +Gamn
dhm
dt
dhn
dt
= 0 (4)
where the Gam
n are the well known Christoffel symbols or affine connections. Rewriting the geodesic equation (4) in
the form
d2ha
dt2 = f a with f a = ¤Gam
n
dhm
dt
dhn
dt (5)
and comparing Eq. (5) with the equation of motion for a free falling particle Eq. (3), the right hand side of Eq. (5)
can be regarded as a force coming from a physical interaction, which has caused a curvature of the surrounding space,
marked by the presence of nonzero Christoffel symbols. The left hand side of equation (5) can be written as mIa where
mI denotes inertial mass and a is acceleration. Multiplying f a by its proper charge results in the equation of motion
for the respective physical interaction. In the case of gravity, because of the equality of inertial and gravitational mass,
charges on the left and right hand sides cancel out. For all other physical interactions this is not the case. In that respect
7 Minkowski tensor hmn must not be confused with curvilinear coordinates hm
gravity has a unique role, namely that it curves also the surrounding space. For all other physical interactions, if
pointlike charges are assumed (classical picture), space is curved only at the location of the charge.
One major point of course is that the relation x = x(h) as used in GR delivers only a single metric, which
Einstein associated with gravitation. The fundamental question is, therefore, how to construct a metric tensor that
gives rise to all physical interactions. The answer lies in the fact that in EHT there exists an internal space H8.
Therefore, in EHT the relation between coordinates x and h is x = x(x (h)). In contrast to GR, EHT employs a
double transformation as specified in Eq. (7). From this double transformation a set of different metric tensors can
be constructed, which, in turn, lead to a set of individual geodesic equations having the same structure as Eq. (5), but
depending on the specific charge and Christoffel symbols inherent to this specific physical interaction. An individual
equation of motion will have the form
mI
d2hm
dt2 = ec f m
c with m = 1; :::;4 (6)
where ec denotes the specific charge of the interaction and quantities f m
c are the associated Christoffel symbols 8
i.e., they stand for the curvature of space generated by this interaction. The total number of physical charges ec is
determined by the subspace structure of H8 in concert with combination rules to constructing a metric that has physical
meaning. Eq. (6) describes a very difficult physical problem. First, the number of physical charges and their coupling
constants need to be determined. Without further demonstration, only a few facts are stated. There exist, according
to EHT, eight charges, namely three color charges for the quarks, two weak charges, one electric charge, and two
charges for gravitation, where one naturally is the gravitational charge. The second charge could be inertia or the
charge of the vacuum. This is not clear at present. The double transformation as given in Eq. (7) represents the particle
aspect and leads to eigenvalue equations whose eigenvalues have dimension of inverse length. In these eigenvalue
equations, the Christoffel symbols occur. Using the inverse of the Planck length expressed as mpc=¯h, results in a
correspondence between inverse length and mass. Since particles and fields form a unity, the transformation from
spacetime into internal space, M !H8, should represent the field aspect, because derivatives of internal coordinates
x a;a = 1; :::;8 with respect to curvilinear coordinates h lead to an expression
ea
c
mI
ha
ik. The ha
ik denote deviation from
the flat metric, and physically represent the tensor potential of the charge ea
c with mI as associated inertial mass.
The metric coefficients thus assume energy character. This short discussion implies a comprehensive mathematical
program, namely the determination and solution of the above mentioned eigenvalue equations as well as the derivation
of the tensor potentials for the interactions. The task is not yet finished, but this brief discussion should have conveyed
an idea how the introduction of an internal symmetry space leads to a correspondence between geometry and physical
quantities. 9 10
This approach is substantially different from GR and leads to the complete geometrization of physical
interactions.
Naturally, the number and type of interactions depend on the structure of internal space H8 whose subspace
composition is determined in the subsequent section. Contrary to the ideas employed in String theory, see for example
[28], H8 is an internal space of 8 dimensions that, however, governs all physical events in our spacetime.
The crucial point lies in the construction of the internal space whose subspace composition should come from basic
physical assumptions, which must be generally acceptable. In other words, GR does not possess any internal structure,
and thus has a very limited geometrical structure, namely that of pure spacetime only. Because of this limitation, GR
cannot describe other physical interactions than gravity, and consequently needs to be extended. EHT in its present
form without any quantization, i.e., not using a discrete spacetime, reduces to GR when this internal space is omitted.
The metric tensor, as used in GR, has purely geometrical means that is, it is of immaterial character only, and does
not represent any physics. Consequently, the Einsteinian Geometrization Principle (EGP) is equating the Einstein
curvature tensor, constructed from the metric tensor, with the stress tensor, representing energy distribution. In this
way, the metric tensor field has become a physical object whose behavior is governed by an action principle, like that
8 The equation of motion describes a particle of mass mI with charge ec, subjected to the respective field of this interaction, represented by its
proper Christoffel symbols.
9 The mathematical framework to determine the charges and to obtain the correspondence between geometry and physics is quite involved. In
general internal coordinates are described by quaternions.
10 There is an interesting question, namely: What is the Hermetry form of the vacuum field ? If the vacuum has an energy density different from
zero, it should not be the case that its Christoffel symbols are 0. However, we feel, in order to answer this question, a quantization procedure for Eq.
(6) has to be established.
of other physical entities. In EHT the internal space H8 is associated with physics through the introduction of three
fundamental length scales, constructed from Planck quantities.
FUNDAMENTAL INTERACTIONS AND HERMETRY FORMS
The introduction of basic physical units is in contradiction to classical physics that allows infinite divisibility. As a
consequence, measurements in classical physics are impossible, since units cannot be defined. Consequently, Nature
could not provide any elemental building blocks to construct higher organized structures, which is inconsistent with
observation. Thus the quantization principle is fundamental for the existence of physical objects.
Next, we introduce four basic principles, from which the nature of H8 can be discovered. In contrast to GR, EHT is
based on the following four simple and general principles, termed the GODQ principle 11 of Nature. These principles
cannot be proved mathematically, but their formulation is based on generally accepted observations and intend to
reflect the workings of Nature.
i. Geometrization principle for all physical interactions,
ii. Optimization (Nature employs an extremum principle),
iii. Dualization (duality, symmetry) principle (Nature dualizes or is asymmetric, bits),
iv. Quantization principle (Nature uses integers only, discrete quantities).
From the duality principle, the existence of additional internal symmetries in Nature is deduced, and thus a higher
dimensional internal symmetry space should exist, whose exact structure will now be determined. In GR there exists a
four dimensional spacetime, comprising three spatial coordinates with positive signature (+) and the time coordinate
with negative signature (-). It should be remembered that the Lorentzian metric of R4 has three spatial (+ signature)
and one time-like coordinate (- signature) 12. The corresponding metric is called Minkowski metric and the spacetime
associated with this metric is the Minkowski space. The plus and minus signs refer to the (local) Minkowski metric
(diagonal metric tensor, see Eq. (1). Therefore, the squared proper time interval is taken to be positive if the separation
of two events is less than their spatial distance divided by c2. A general coordinate system for a spacetime manifold,
M, needs to be described by curvilinear coordinates hm with m = 1; ::;4 and h = (hm ) 2 M.
The set of 8 internal coordinates for H8 is determined by utilizing the GODQ principle. There are three internal
spatial coordinates, x 1;x 2;x 3, and the internal time coordinate x 4. The other four coordinates are introduced to
describing the degree of organization and information exchange as observed in Nature.
In summary, internal coordinates x i with i=1; :::;4 denote spatial and temporal coordinates, x i with i=5;6 denote
entelechial and aeonic coordinates, and x i with i = 7;8 denote the two information coordinates in H8, mandating
four different types of coordinates. With the introduction of a set of four different types of coordinates, the space
of fundamental symmetries of internal space H8 is fixed. In the next section, the set of metric subtensors of H8 is
constructed, each of them describing a physical interaction or particle. Thus the connection between physical space
and physics (symmetries) is established in a way foreseen by Einstein. Physical space is responsible for all physical
interactions. However, in order to reach this objective, spacetime had to be complemented by an internal space H8 to
model its physical properties. Once the internal space with its set of coordinates has been determined, everything else
is fixed, because Eq. (7) is a direct consequence of H8 .
It should be noted that a dimensional law can be derived that does not permit the construction of, for instance,
a space H7 [26]. In order to determine the number of admissible Hermetry forms and their physical meaning, we
proceed as follows. As was shown above, Heim space, H8, comprises four subspaces, denoted as R3 with coordinates
x 1;x 2;x 3, T1 with coordinate x 4, S2 with coordinates x 5;x 6 , and I2 with coordinates x 7;x 8: In order to construct a
physically meaningful metric sub-tensor (also called Hermetry form), it is postulated that coordinates of internal
spaces S2 or I2 must be present in any metric subtensor to generate a Hermetry form. From this kind of selection rule,
it is straightforward to show that 12 Hermetry forms can be generated, having direct physical meaning. In addition,
there are three degenerated Hermetry forms that describe partial forms of the photon and the quintessence potential,
11 briefly stated: God quantizes.
12 Signatures are not unique. Coordinate signatures may be reversed. Numbering of coordinates was chosen such that coordinates of positive
signature are numbered first.
for details see Tables 2, 4 of ref. [11]13. Hermetry form 16 is reserved for the Higgs particle that should exist, whose
mass was calculated at 182:70:7 GeV. For instance, the Hermetry form (photon metric) comprises only coordinates
from subspaces T1 , S2 , and I2 and is denoted by H7(T1 S2 I2). The neutral gravitophoton Hermetry form is
given by H5(S2 I2). Since gravitophoton and photon Hermetry forms are described by different coordinates, they
lead to different Christoffel symbols, and thus to different geodesic equations, see Eq. (6). Furthermore, if there were
a physical process to eliminate the T1 coordinates, i.e., the corresponding Christoffel symbols are 0, the photon would
be converted into a gravitophoton. This is how mixing of particles is accomplished in EHT. We believe this to be
the case in the experiments by Tajmar et al. The fundamental question, naturally, is how to calculate the probability
of such a process, and to determine the experimental conditions under which it can take place. Hermetry forms alone
only provide the potential for conversion into other Hermetry forms, but nothing is said about physical realization.
In any case, if Hermetry forms describe physical interactions and elementary particles, a completely novel scenario
unfolds by regarding the relationships between corresponding Hermetry forms. Completely new technologies could be
developed converting Hermetry forms. In the section about the proposed gravito-magnetic field propulsion experiment,
an experiment utilizing a rotating disk is described to convert photons into positive (repulsive) and negative (attractive)
gravitophotons that should generate an artificial gravitational field along the axis of rotation.
Fig. (2) depicts the six fundamental forces predicted by EHT. From the neutral gravitophoton metric and from the
forces measured in the experiments, it is deduced that the gravitophoton decays into a graviton (H1) and a quintessence
(H9, repulsive) particle. Fig. (3) shows the set of metric-subspaces that can be constructed. The word Hermetry is a
combination of hermeneutics and geometry that is, a Hermetry form stands for the physical meaning of geometry.
Each Hermetry form has a direct physical meaning, for details see refs. [11], [13], [14].
Double Coordinate Transformation
In this section the mathematical details of constructing Hermetry forms are presented. The concept of an internal 8D
space, comprising four subspaces, leads to a modification of the general transformation being used in GR. In GR there
are two sets of coordinates, Cartesian coordinates x and curvilinear coordinates h linked by a relation between their
corresponding coordinate differentials, Eqs. (1, 2). If Heim space were not existing, the poly-metric of EHT collapsed
to the mono-metric of GR.
The existence of internal space H8 demands a more general coordinate transformation from a spacetime manifold
14 M to a manifold N via the mapping M (locally R4 ) ! H8 ! N (locally R4 ). In EHT, therefore, a double
transformation, Eq.(7), involving Heim space H8 occurs. The associated global metric tensor, Eq. (7), does not have
any physical meaning by itself. Instead, by deleting corresponding terms in the global metric, the proper Hermetry
form is eventually obtained. The global metric tensor is of the form
gik =
¶ xm
¶ x a
¶ x a
¶hi
¶ xm
¶ x b
¶ x b
¶hk (7)
where indices a;b = 1; :::;8 and i;m;k = 1; :::;4 and gik comprises 64 components. The tensor with all 64 terms
does not have a physical meaning.
A single component of the metric tensor belonging to one of the four subspaces is given by Eq. (8). Only special
combinations of the gab
ik reflect physical quantities. Because of the double transformation, each physically meaningful
metric does comprise a different subset of the 64 components. In other words, depending on the Hermetry form, a
specified number of components of the complete metric tensor in spacetime, Eq. ((7), are set to zero. Hence, each
Hermetry form is marked by the fact that only a subset of the 64 components is present. Therefore each Hermetry
form leads to a different metric in the spacetime manifold and thus describes different physics. This is why Eq. ((7)
is termed the poly-metric tensor. It serves as a repository for Hermetry forms. This construction principle is totally
different from Einstein’s approach, and only in the special case of vanishing space H8 , EHT reduces to GR.
gab
ik =
¶ xm
¶ x (a)
¶ x (a)
¶hi
¶ xm
¶ x (b)
¶ x (b)
¶hk (8)
13 Tables 1-4 of ref. [11] were omitted from this paper because of lack of space
14 in the concrete case of GR spacetime manifold M4 would be used
Figure 2. EHT predicts, as one of its most important consequences, two additional, gravitational like interactions and the existence
of two messenger particles, termed gravitophoton and quintessence. That is, there is a total of six fundamental physical interactions.
The name gravitophoton has been chosen because of the type of interaction, namely the transformation of the electromagnetic field
(photon) into the gravitational field (gravitophoton). The arrow between the gravitophoton and electromagnetic boxes indicates
the interaction between these messenger particles that is, photons can be transformed into gravitophotons. In the same way
the quintessence interaction can be generated from gravitons and positive gravitophotons (repulsive force). It is assumed that
first a neutral gravitophoton is generated that decays into a pair of negative (same sign as gravitational potential) and positive
gravitophotons.
The poly-metric tensor can be written as
gik =
a;b=1
ga;b
ik (9)
A single Hermetry form is given by
gik(Hl) :=
a;b2Hl
gab
ik (10)
It should be mentioned that each Hermetry form itself comprises a set of submetric tensors that are intrinsic to this
Hermetry form. In how far this is an indication for further substructures is not known at the moment. In any case, there
are three additional Hermetry forms that we denoted as degenerate Hermetry form. They are describing neutrinos
and two novel fields that were identified as conversion (probability) amplitudes wph_gp and wgp_q. The first amplitude
stands for the probability of converting photons into gravitophotons, the second one denotes the probability for a
gravitophoton to decay into a graviton and quintessence particle. These conversion equations play a major role in the
explanation of the experiments by Tajmar et al. as well as in the proposed field propulsion experiment.
Physical Meaning of Hermetry Forms
Here, we only can give a brief discussion of the meaning of Hermetry forms. Each of the 15 admissible combinations
(not counting the Higgs particle) of metric subtensors (Hermetry forms) is ascribed a physical meaning, see Tables 1-4
in ref. ([11]). A Hermetry form is denoted by Hl with l =1; :::;15 is used. Indices 1-12 are obtained from the definition
of the Hermetry forms, see Fig. (3). Each Hermetry form Hl is interpreted as physical interaction or particle, extending
the interpretation of metric employed in GR to the poly-metric, coming from the combination of external physical
spacetime and internal space that is, the interaction of space H8 with four-dimensional spacetime M4. Internal space
H8 is a factored space that is, it is represented as H8 = R3 T1 S2 I2. This factorization of H8 into one space-like
manifold R3 and three time-like manifolds T1, S2 and I2 is inherent to the structure of H8. Each subspace can be
associated with a symmetry group. H8 would be associated with group O(8), which in turn is also factored. For the
construction of the individual Hermetry forms, a selection rule is used, namely any physically meaningful Hermetry
form must contain space coordinates from S2 or I2. This means, for a physical process to become manifest in
spacetime, a pair of the transcoordinates (entelechial, aeonic or information coordinates) must occur in its metric, i.e.,
in its Hermetry form. Each individual Hermetry form is equivalent to a physical potential or a messenger particle. It
should be noted that a Hermetry form in space S2 I2 describes gravitophotons, and a Hermetry form constructed
from space S2 I2 T1 represents photons, see Table 2 in ref. ([11]). This is an indication that, at least on theoretical
arguments, photons can be converted into gravitophotons, if the time dependent part T1 of the photon metric can be
canceled. Fig. (3) shows the possible Hermetry forms in EHT.
Conversion Equations for Hermetry Forms
In the section above, the physical meaning of Hermetry forms was discussed. Regarding the Hermetry forms for the
photon, H7, and the gravitophoton, H5, see Table 2 in [11], it is straightforward to see that if all metric subcomponents
containing the time coordinate in the metric tensor of the photon are deleted, the metric of a neutral 15gravitophoton
is generated. The fundamental question is, of course, how this mathematical process can be realized as a physical
phenomenon.
Regarding further the Hermetry form of the neutral gravitophoton, it should be possible that under certain circumstances
this neutral gravitophoton becomes unstable and decays. According to its metric form, a neutral gravitophoton
can decay through two channels. In one case, a graviton and a quintessence particle can be generated. In the second
case, a positive (repulsive) and a negative (attractive) gravitophoton can be produced. The former seems to occur in
Tajmar’s experiments, see section below, and the latter case should happen in the proposed field propulsion experiment
outlined, see corresponding section.
A conversion of photons into gravitophotons should be possible in two ways, namely via Fermion coupling
according to Eqs. (12), (13) and through Boson coupling, described by Eqs. (14), (15). These equations are termed
conversion equations. The three conversion amplitudes have the following meaning: The first equation, Eq. (12) is
obtained from EHT in combination with considerations from number theory, and predicts the conversion of photons
into gravitophoton particles, published already in 1996 [35] while the second equation, Eq. (13), is taken from Landau
[36] where the probability amplitude wgp for the photon coupling is given by the well known relation
w2
ph =
1
4pe0
e2
¯hc
: (11)
The physical meaning of Eqs. (12), (13) lies in the production of N2 gravitophoton particles through the polarization
of the vacuum. This conversion process is termed Fermion coupling, because it is assumed that the production
of gravitophotons takes place at the location of a virtual electron. This process is described in detail in references [11],
[13], and [12]. As was further discussed in these references, the magnitude of the necessary magnetic induction, m0H,
15 a gravitophoton is termed neutral if it does not interact with matter
Figure 3. In EHT, each point in spacetime is associated with an internal Heim space H8 that has eight internal coordinates. These
coordinates are interpreted as energy coordinates. The Planck length lp is associated with spatial coordinates of space R3 , the
Planck length lt with the time coordinate of space T1 , and Planck length lmp with the four additional organization and information
coordinates (negative) signature, which give rise to two additional subspaces denoted as S2 and I2, respectively. Hence, Heim space
H8 comprises four subspaces, namely R3 , T1 , S2 , and I2. The 8 coordinates x n of H8 themselves are functions of the curvilinear
coordinates hm that is, x n = x n(hm) of physical spacetime, manifold M4. The picture shows the complete set of metric-subspaces
that can be constructed from the poly-metric tensor, Eq. (7). Each submetric is denoted as Hermetry form, which has a direct
physical meaning, see Table 2 in [11]. In order to construct a Hermetry form, either internal space S2 or I2 coordinates must be
present. In addition, there are three degenerated Hermetry forms, see Table 4 in [11] that are only partial metric forms of the photon
and the quintessence potential. They allow the conversion of photons into gravitophotons as well as the decay of gravitophotons
into gravitons and quintessence particles.
in order to obtain sufficient gravitophoton production to generate a sizeable gravitophoton force (or Heim-Lorentz
force), is in the range of 20 to 50 T, and thus is most likely beyond current technology.
wph(r)¤wph_gp = Nwgp (12)
wph(r)¤wph_gp = Awph (13)
Eq. (13) and the function A(r) can be obtained using Landau’s [36] radiation correction with numerical values for
A ranging from 10¤3to 10¤4. Eqs. (12) and (13) can be interpreted such that an electromagnetic potential (photon)
containing probability amplitude Awph can be converted into a neutral gravitophoton with associated probability
amplitude Nwgp. Landau’s equation, Eq. (13), is responsible for the additional charge, coming from the reduced
shielding of the vacuum.
When we analyzed the experiments by Tajmar et al. it became clear that there seems to be a second way to generate
a gravitophoton force, namely using Cooper pairs to trigger the production of neutral gravitophotons. Because of
the coupling through Cooper pairs, this conversion is dubbed Boson coupling, and is specified by Eqs.(14) and (15). It
turned out that the conversion of photons into gravitophotons through Boson coupling has substantially lower technical
requirements. Instead of changing the conversion amplitude wph(r) by reducing the distance between virtual electron
and proton below the Compton wavelength, lC, (for mathematical details see the above mentioned references), it is
now the value of the probability amplitude wph_gp that changes. In general, i.e., without the presence of Cooper pairs,
wph_gp = wph and, according to Eq. (15), the probability for gravitophoton production is 0. For the production process
to take place, it is assumed that the onset of superconducting - with its formation of Cooper pairs - has an effect
similar to the creation of electron-positron pairs responsible for an increased coupling, and therefore an increase in the
magnitude of the coupling constant or charge. This is in analogy to vacuum polarization where the magnetic field is
strong enough to produce virtual electron-positron pairs, creating an excess charge. It should be noted that coupling
values k and a were derived some ten years ago, and were published by Heim and Dröscher 1996 in [35], see Eq. (11)
p. 64, Eq. (15) p. 74, and Eq. (16) p. 77.
wph¤wph_gp = iNwgp (14)
wph¤wph_gp = i
 
1
(1¤k)(1¤ka) ¤1
 
wph (15)
where i denotes the imaginary unit. Eqs. (13) and (15) reflect the basic difference between Fermion and Boson
coupling. In Fermion coupling the additional charge is produced by the vacuum of spacetime, while in Boson coupling
the additional charge comes from an increase of charge of the Cooper pairs through the Higgs mechanism. The Boson
coupling therefore is a condensed matter phenomenon. This means that for Boson coupling the probability amplitude
(charge) wph remains unchanged, which is in contrast to Fermion coupling. Instead, as can be seen from Eq. (15), it
is the probability amplitude wph_gp that is modified when the superconducting state is reached. Through the Higgs
mechanism, as was first stated by P.W. Anderson (1958) and later by Higgs, the photon assumes mass 16 and thus
via Eq. (11) the electromagnetic coupling gets stronger, and, in turn, the electric charge e becomes larger. Therefore,
Cooper pairs are subjected to an increase in charge.
EHT AND GRAVITO-MAGNETIC EXPERIMENTS
In a recent experiment (March 2006), funded by the European Space Agency and the Air Force Office of Scientific
Research, Tajmar et al. [7] report on the generation of a toroidal (tangential, azimuthal) gravitational field in a rotating
accelerated (time dependent angular velocity) superconducting Niobium ring. In July 2006, in a presentation
at Berkeley university, Tajmar showed improved experimental results that confirmed previous experimental findings.
Very recently, October 2006 [6] and February 2007 [5] the same authors reported repeating their experiments employing
both accelerometers as well as laser ring-gyros that very accurately measured the gravito-magnetic field. The
acceleration field was clearly observed, and its rotational nature was determined by a set of four accelerometers in the
plane of the ring.
Since the experiment generates an artificial gravitational field, which is in the plane of the rotating ring, see below,
it cannot be used as propulsion principle. It is, however, of great importance, since it shows for the first time that a
gravitational field can be generated other than by the accumulation of mass.
In this section we will present a theoretical derivation based on EHT to both qualitatively and quantitatively explain
the experiments. In addition, a comparison with the measured data will be presented. The experimental outcome was
explained by Tajmar and de Matos, postulating that the Higgs mechanism were responsible for the graviton to gaining
mass. This effect, [7], was termed the gyro-magnetic London effect. According to these authors, this phenomenon is
the physical cause for the existence of the measured gravitational field. We will discuss these arguments and compare
with the explanation given by EHT, which assumes the artificial gravitational field to be caused by the two gravitational
additional interactions predicted by EHT.
In the following, a derivation from first principles is presented, using the concept of neutral garvitophoton and its
subsequent decay into graviton and quintessence particles, which can be seen directly from the Hermetry form of the
neutral gravitophoton and the direction of the artificial gravitational field. However, for this experiment a coupling
to bosons (Cooper pairs) occurs. Deriving this effect from gravitophoton interaction, a physical interpretation can be
given that explains both qualitatively and quantitatively the experimental results. Moreover, theoretical considerations
obtained from EHT lead to the conclusion that an experiment should be possible to generate a gravitational field
acting parallel to the axis of rotation of the rotating ring, see Fig. 5, and thus, if confirmed, could serve as a
demonstrator for a field propulsion principle.
In this field propulsion experiment the superconducting rotating ring of the experiments by Tajmar et al. is replaced
by an insulating disk of a special material in combination with a special set of superconducting coils. According to
16 There is an alternative explanation. In a very recent article by Kane [38] the existence of electrically charged Higgs bosons is assumed. Due to
the Higgs mechanism there might be an interaction of these bosons with Cooper pairs, increasing their electric charge.
Figure 4. Rotating superconducting torus (Niobium) modified from Tajmar et al., see ref. [5]. All dimensions are in mm. A
cylindrical coordinate system (r;Q; z) with origin at the center of the ring is used. In-Ring accelerometers measured a gravitational
acceleration of ¤1:410¤5g in the azimuthal (tangential, Q) direction when the ring was subjected to angular acceleration, see
Fig. 8(a) ref. [5] for the so called curl configuration that comprises a set of four accelerometers. In an earlier publication, see Fig.
4a) in [7], an acceleration field of about ¤1010¤5g was measured for a single accelerometer. According to M. Tajmar, the curl
value should be used. The acceleration field did not depend on angular velocity w. No acceleration was measured in the z-direction
(upward). The more recent experiment employed a set of 4 in-Ring accelerometers and confirmed the rotational character of this
field. When the direction of rotation was reversed, the acceleration field changed sign, too.
EHT, the physical mechanism is different in that the neutral gravitophoton now decays into a positive (repulsive) and
negative (attractive) gravitophoton, which causes the artificial gravitational field to point in the axis of rotation. EHT is
used to calculate the magnitude and direction of the acceleration force and provides guidelines for the construction of
the propulsion device. The coupling to bosons is the prevailing mechanism. Experimental requirements, i.e., magnetic
induction field strength, current densities, and number of turns of the solenoid, are substantially lower than for fermion
coupling (here the vacuum polarization is employed to change the coupling strength via production of virtual pairs
of electrons and positrons) that was so far assumed in all our papers, see, for instance, refs. [12], [13], [14]. Fig.
4 depicts the experiment of Tajmar et al., where a superconducting ring is subject to angular acceleration and an
artificial gravitational field was measured in the plane of the ring in circumferential direction, counteracting the
angular acceleration, i.e., following some kind of gravitational Lenz rule. Fig. 5 describes the experimental setup for
the field propulsion device where an insulating disk rotates directly above the superconducting solenoid. In both cases
an artificial gravitational field arises, generated by gravitophoton interaction. The major difference between the two
experiments is that Tajmar et al. need to accelerate the rotating superconducting ring producing the gravitational field
in azimuthal direction, while the field propulsion experiment uses a uniformly rotating disk, generating an artificial
gravitational field in the axis of rotation. It is the latter experiment that could serve as the basis for a novel propulsion
technology - if EHT is correct.
The Gravito-Magnetic Experiment
In the experiments by Tajmar et al. it is shown that the acceleration field vanishes if the Cooper pairs are destroyed.
This happens when the magnetic induction exceeds the critical value BC(T), which is the maximal magnetic induction
that can be sustained at temperature T, and therefore dependents on the material. For temperatures larger than the
critical temperature TC superconductivity is destroyed, too. The rotating ring no longer remains a superconductor and
the artificial gravitational field disappears.
Considering the Einstein-Maxwell formulation of linearized gravity, a remarkable similarity to the mathematical
form of the electromagnetic Maxwell equations can be found. In analogy to electromagnetism there exist a gravitational
scalar and vector potential, denoted by Fg and Ag, respectively [34]. Introducing the corresponding gravitoelectric and
gravitomagnetic fields
e := ¤ÑFg and b := ÑAg (16)
the linearized version of Einstein’s equations of GR can be cast in mathematical form similar to the Maxwell equations
of electrodynamics, the so called gravitational Maxwell equations, Eqs. (17) and (18)
Ñ e := ¤4pGNr; Ñb := 0 (17)
Ñe := 0; Ñb := ¤
16pGN
c2 j (18)
where j = rv is the mass flux and GN is Newton’s gravitational constant. The field e describes the gravitational field
from a stationary mass distribution, whereas b describes an extra gravitational field produced by moving masses. Fig.
(4) depicts the experiment of Tajmar et al., where a superconducting ring is subjected to angular acceleration, which
should lead to a gravitophoton force. EHT makes the following predictions for the measured gravitational fields that
are attributed to photon-gravitophoton interaction.
• For the actual experiment, shown in Fig. 4 (Tajmar et al.), the gravitophoton force is in the azimuthal direction,
caused by the angular acceleration of the superconducting niobium disk. The acceleration field is opposite to the
angular acceleration, obeying some kind of Lenz rule.
• For the novel experiment of Fig. 5 (field propulsion), a force component in the vertical direction would be
generated.
It will be shown in the following that the postulated gravitophoton force completely explains the experimental facts
of the experiment by Tajmar et al., both qualitatively and quantitatively. It is well known experimentally that a rotating
superconductor generates a magnetic induction field, the so called London moment
B = ¤
2me
e
w (19)
where w is the angular velocity of the rotating ring. It should be noted that this magnetic field is produced by the
rotation of the ring, and not by a current of Cooper pairs that are moving within the ring.
Gravito-Magnetic Effect Predicted by EHT
In this short version of the paper, only the final result for the acceleration field is stated without derivation. Comparisons
of theoretical and experimental values for their most recent gravito-magneto measurements are shown below. A
coupling between electromagnetism and gravitation is basic to EHT, because of the fifth and sixth fundamental interactions,
which foresee a conversion of Hermetry form H7, describing the photon, into the Hermetry form H5, describing
the gravitophoton. The gravitophoton then, according to EHT, decays into a graviton and a quintessence particle. The
two additional interactions predicted by EHT, are identified as gravito-magnetic interaction and quintessence. The
quintessence messenger particle causes a weak repulsive gravitational like interaction, which might be identified with
dark energy.
The laboratory generation of gravity has been under active research for the last fifteen years and numerous
experiments were carried out. So far, only the experiments by Tajmar et al. have sufficient credibility. None of the
other experiments have stood the test of time, and therefore are not investigated.
Without further demonstration, the gravitophoton acceleration for the in-Ring accelerometer for as derived from
EHT is presented. It is assumed that the accelerometer is located at distance r from the origin of the coordinate system.
From Eq. (19) it can be directly seen that the magnetic induction has a z-component only. Applying Stokes law it is
clear that the gravitophoton acceleration vector lies in the r¤q plane. Because of symmetry reasons the gravitophoton
acceleration is independent of the azimuthal angle q, and thus only has a component in the circumferential (tangential)
direction, denoted by ˆeq . Since the gravitophoton acceleration is constant along a circle with radius r, integration is
over the area A = pr2 ˆez. Using the values for Nb, k and a, and carrying out the respective integration, the following
expression for the gravitophoton acceleration is eventually obtained
ggp = ¤(0:04894)2 me
mp
w˙ reˆq (20)
where it was assumed that the B field is homogeneous over the integration area.
Comparison of EHT and Gravito-Magnetic Experiments
The experiments by Tajmar are interpreted such that a conversion from photons into gravitophotons takes place as
outlined above.
For comparisons of the predictions from EHT and the gravito-magnetic experiments, the most recent experimental
values taken from the paper by Tajmar et al. [5] were used. The following values were utilized:
w˙ = 103rad=s2; r = 3:610¤2m;
me
mp
= 1=1836
ggp = ¤(0:04894)210¤43:610¤21039:81¤1g (21)
resulting in the computed value for the circumferential acceleration field
ggp = ¤4:7910¤6g (22)
For a more accurate comparison, the coupling factor 17 kgp for the in-Ring accelerometer, as defined by Tajmar, is
calculated from the value of Eq. (22), resulting in kgp =¤4:7910¤9g rad¤1s2. The measured value is kgp =¤14:4
2:810¤9g rad¤1s2. This means that the theoretical value obtained from EHT is underpredicting the measured value
by approximately a factor of 3. The agreement between the predicted gravitophoton force is reasonable but not good.
Comparisons for lead are not made, since according to Tajmar 18 these measurements [7] need to be repeated. Using
the postulated equation from Tajmar et al. [5]
ggp = ¤1=2bgprˆeq = ¤
r
r
rw˙ eˆq (23)
results in a value kgp = ¤7:1610¤9grad¤1s2.
It should be kept in mind that the present derivation from EHT does give a dependence on the density of Cooper
pairs for coupling values k and a, but, according to our current understanding, such a coupling occurs only for two
materials, namely Nb and Pb.
In [5] a second set of measurements were taken using laser gyroscopes to determine the bgp. The formula used in
this paper employing the actually measured value has the form
bgp = ¤1:9510¤6w rad s¤1 (24)
Comparing this with the equation derived from EHT, Eq. (22), it is found that the theoretical prediction is overpredicting
the measured results by a factor of 1.34, which is in good agreement with experiment. The value computed from
Eq. (23), see [5], is overpredicting the measured value by about a factor of 2.
Experiment for Gravitomagnetic Field Propulsion by Gravitophoton Acceleration
There exists a major difference between the experiment of Fig. (4) and a gravito-magnetic field propulsion device.
Present experiments only show the existence of a gravitational field as long as the ring undergoes an angular acceleration.
The artificial gravitational field is directed opposite to the applied angular acceleration, following some kind
17 This coupling factor, as defined by Tajmar [5], is the ratio of the magnitudes of observed tangential acceleration ggp and applied angular
acceleration w˙ .
18 e-mail communication February 2007
Figure 5. This experiment, derived from EHT, is fundamentally different from the experiment by Tajmar et al. in two ways.
First, EHT predicts the neutral gravitophoton to decay in a negative (attractive) and a positive (repulsive gravitophoton that is,
the physical mechanism is different. Second, the artificial gravitational field generated would be directed in the axis of rotation.
Hence, this acceleration field would be used as propulsion mechanism. In other words, this experimental setup would serve as a
demonstrator for a propellantless propulsion system. It comprises a superconducting coil and a rotating disk of a special material.
The black cylinder is meant to be the space vehicle, while the coil and the disk are the propulsion system that are mechanically
attached to the space vehicle. The acceleration field would be generated directly above the rotating disk.
of gravitational Lenz rule. For a propulsion device, however, the force must be directed along the axis of rotation,
and not in the circumferential direction of the rotating ring. Therefore, a fundamentally different experiment must be
designed to obtain a field along the axis of rotation. While the experiments by Tajmar et al. demonstrate the possibility
of generating artificial gravitational fields, emphasizing the importance of a condensed state (Cooper pairs, bosons),
a novel experiment is needed to demonstrates the feasibility of gravito-magnetic field propulsion. The experimental
setup for such a device is pictured in Fig. (5).
Two acceleration components are generated: one in the radial r direction, and the second one in the z- direction.
These components are given by
ar ˆer = vTq bz ˆeq ˆez; az ˆez =
(vTq )2
c
bz(ˆeq ˆez)ˆeq (25)
where vTq denotes the velocity of the rotating disk or ring, and bz is the component of the (gravitational) gravitophoton
field bgp (dimension 1/s) in the z-direction, see Fig. (5). In contrast to the fermion coupling, ref. [14], experimental
requirements are substantially lower.
According to our current understanding, the superconducting solenoid of special material (red), see Fig. (5), should
provide a magnetic induction field in the z direction at the location of the rotating disk (gray), made from a material
different than the solenoid. The z-component of the gravitophoton field is responsible for the gravitational field above
the disk. This experimental setup could also serve as field propulsion device, if appropriately dimensioned. Fig. (5)
describes the experimental setup utilizing a disk rotating directly above a superconducting solenoid. In the field
propulsion experiment of Fig. (5), the gravitophoton force produces a gravitational force above the disk in the zdirection
only. The following assumptions were made: N = 10, number of turns of the solenoid, current of about 1A
(needed to calculate bz), diameter of solenoid 0:18m, and vTq = 25 m/s. The disk should be directly above the solenoid
to produce a magnetic field in z-direction only. This experiment should give an acceleration field ggp = 610¤3gˆez;
which is an appreciable field acting directly above the rotating disk.
From these numbers it seems to be feasible that, if our theoretical predictions are correct, the realization of a space
propulsion device that can lift itself from the surface of the Earth is within current technology.
CONCLUSIONS AND FUTURE ACTIVITIES
It has been shown that even with an advanced fission propulsion system (most likely the only feasible device among
the advanced concepts within the next several decades), space travel will both be very limited regarding, speed, range,
and payload capability as well as cost. Travel time to other planets will remain prohibitively high. Interstellar travel is
impossible. To fundamentally overcome these limitations, novel physical laws are needed. It was also shown that the
status of current physics leaves many important questions unanswered and, concerning the role of the vacuum, severe
contradictions exist. The nature of spacetime is not clear.
On the other hand, it has been shown that the current status of both experimental and theoretical gravito-magnetic
research indicates that a novel coupling between electromagnetism and gravitation might exist, which could result in
the generation of artificial gravitational fields. Such an effect is not predicted by current physics. The experiments by
Tajmar et al. cannot be explained by the well known frame dragging effect of GR, since measured values are more
than 20 orders of magnitude larger than predicted by GR, and thus should not be visible at all in the laboratory. In
particular, these recent experiments , if confirmed, show that such an artificial gravitational field may be generated
with current technology. Therefore, the search for novel physical phenomena is both justified and necessary.
As was shown, Extended Heim Theory (EHT) predicts a coupling between electromagnetism and gravitation that
directly leads to the generation of artificial gravitational fields. Predictions of EHT were compared with experimental
data obtained from gyroscope and acceleration measurements, and satisfactory agreement with experimentaldata was
demonstrated. However, it is one thing to come up with a theory that fits the measured data. It is quite another, to
show that EHT unambiguously predicts two additional interaction that actually occur in the natural world. Therefore,
in order to confirm EHT, a novel experiment must be carried, and an artificial gravitational field along the axis of
rotation of a rotating disk needs to be produced, Finally the propellantless propulsion device must be constructed and
its working demonstrated.
In EHT, which can be considered as the natural extension of GR, matter is a consequence of the internal physical
features of spacetime and thus, with each point in spacetime, an internal symmetry space, termed H8, is associated.
In GR the metric tensor is obtained from a transformation between Cartesian and curvilinear coordinates. This
metric tensor then is associated with gravitation. In EHT, a double transformation is used involving also the internal
coordinates of the 8-dimensional space H8. Since H8 comprises four subspaces and only certain combinations of these
subspaces are admissible to obtain a metric that has physical significance, a poly-metric is constructed. Each metric
tensor is associated with an interaction or particle. According to EHT, six fundamental interactions should exist. The
two additional forces are gravitational like, but can be both attractive and repulsive. Moreover, an interaction between
electromagnetism and gravitation should exist. In particular, EHT predicts that superconductivity with a high density
of Cooper pairs is an essential part for the (boson) coupling between electromagnetism and gravitation.
The coupling constants of the interactions were obtained from number theory, and thus are calculated theoretically.
It is interesting to note that they were published in 1996 and used without modification to explain and quantitatively
compare with the experiments by Tajmar et al. EHT was used to calculate the dependence on the coupling constants
of the superconductor material, namely for lead and niobium.
Furthermore, guidelines were established by this theory to devise a novel experiment for a field propulsion device
working without propellant. In this experiment an artificial gravitational field should be generated along the axis of
the rotating disk (ring). Initial calculations show that experimental requirements are well within current technology.
Boson coupling seems to substantially alleviate experimental requirements like magnetic field and current density.
Research should focus on this experiment, because of its potential applications in the field of transportation.
The recent experiments by Tajmar et al. provide credible experimental evidence for these laws. In conjunction
with the theoretical framework of EHT, the construction of a technically feasible field propulsion device might be
achievable. This propulsion principle would be far superior compared to any device based on momentum generation
from fuel, and would also result in a much simpler, far cheaper, and much more reliable technology. Such a technology
would revolutionize the whole area of transportation.
ACKNOWLEDGMENT
The authors are most grateful to Prof. P. Dr. Dr. A. Resch, director of the Institut für Grenzgebiete der Wissenschaft
(IGW), Innsbruck, Austria for his support in writing this paper. The second authors gratefully acknowledges his
hospitality and numerous discussions being a guest scientist at IGW in 2007.
The authors are particularly grateful to Dr. M. Tajmar, ARC Seibersdorf, Austria for providing measured data as well
as discussions that helped us to perform comparisons between EHT and his experiments and also lead to corrections
of computed values.
The second author was partly funded by Arbeitsgruppe Innovative Projekte (AGIP) and by Efre (EU) at the Ministry
of Science and Education, Hannover, Germany.
The authors gratefully acknowledge the invitation by Dr. J. Longo, DLR Braunschweig, Germany to present their
results at this conference.
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Stationary Dissipative Solitons of Model G

01.05.2014 18:42
 
February 17, 2013 model˙g
Stationary Dissipative Solitons of Model G
Matthew Pulvera† and Paul A. LaVioletteb‡
aBlue Science, Los Angeles, California USA
bStarburst Foundation, Schenectady, New York USA
Model G, the earliest reaction-diffusion system proposed to support the existence of
solitons, is shown to do so under distant steady-state boundary conditions. Subatomic
particle physics phenomenology, including multi-particle bonding, movement in concentration
gradients, and a particle structure matching Kelly’s charge distribution
model of the nucleon, are observed. Lastly, it is shown how a three-variable reversible
Brusselator, a close relative of Model G, can also support solitons.
Keywords: Brusselator; dissipative soliton; Model G; reaction-diffusion system;
subquantum kinetics; Turing instability; Turing wave
1. Introduction
Since the seminal work of Turing (1952), stationary and oscillating patterns have
been studied and observed in a variety of open reaction-diffusion (R-D) systems, one
example being the three-variable Belousov-Zhabotinsky reaction (Winfree, 1974;
Zaikin and Zhabotinsky, 1970). The Brusselator, first proposed in 1968, is the
simplest R-D system known to produce wave patterns of precise wavelength. It is a
two-variable R-D system specified by the following reactions (Lefever, 1968; Nicolis
and Prigogine, 1977):
A → X (1a)
B + X → Y + D (1b)
2X + Y → 3X (1c)
X → E. (1d)
In the Brusselator, only the X and Y reactants are variable while A, B, D, and E are
held constant. The value of either source reactant A or B serves as the bifurcation
parameter determining whether the system is able to spawn a dissipative structure.
But because their concentrations are kept invariant, the system’s criticality remains
uniform throughout the reaction volume and, in the case where the system is supercritical,
gives rise to a nonlocalized dissipative structure. Herschkowitz-Kaufman
†matt@blue-science.org
‡plaviolette@starburstfound.org
1
February 17, 2013 model˙g
0.0 0.2 0.4 0.6 0.8 1.0
0
5
10
15
20
Space
Concentration
X
A
Y
(a) Box length = 1.
0.0 0.5 1.0 1.5 2.0
0
5
10
15
20
Space
Concentration
X
A
Y
(b) Box length = 2.
Figure 1. (a) The localized steady state dissipative structure of Herschkowitz-Kaufman and Nicolis (1972)
in a 1D box of length 1. (b) Same system parameters with box length = 2, demonstrating the dependence
of structure localization upon system boundaries.
and Nicolis (1972), on the other hand, have been able to create a localized dissipative
structure by allowing A to vary while holding its concentration fixed at the
system boundaries at a level above the critical threshold value Ac. Consumption of
A through reaction (1a) creates the formation of an “A-well” which in the steady
state forms a hypercosine function solution satisfying the relation A = DA∇2A.
The reactions become supercritical wherever A attains a value less than Ac, allowing
X and Y to self-organize a dissipative structure localized in the A-well’s
interior.
While Herschkowitz-Kaufman and Nicolis (1972) note that this version of the
Brusselator produces a dissipative structure that is localized within boundaries
that are distinct from the reaction system boundaries, a dissipative structure generated
in this fashion is not an autonomous entity since its morphology depends
on the particular placement and extent of those boundaries; see Figure 1. If these
boundaries are sufficiently expanded or removed, the localized X-Y structure dissolves.
In the Brusselator, the depth of the A-well determines whether X and Y
will form an ordered pattern, but not vice versa. That is, the X and Y values
forming the soliton do not themselves affect the concentration of A; they do not
determine the character of the A-well which in turn determines whether or not the
X-Y ordered state can exist.
2
February 17, 2013 model˙g
-10 -5 0 5 10
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Space
Concentration
a
X
Y
Figure 2. Localized dissipative structure of Koga and Kuramoto (1980). DX = 1, DY = 5, a = 0.254,
b = 0.5, c = 0.5.
Koga and Kuramoto (1980) simulated a localized dissipative structure supported
by a system defined by the equations:
@X
@t
= DX∇2X − X − Y − H(X − a) (2a)
@Y
@t
= DY∇2Y + bX − cY (2b)
where a, b, c are system constants, and H is the Heaviside step function. In the
center of the soliton, there is a finite region in which X > a and thus H = 1, outside
of which H = 0. See Figure 2. With this mechanism the structure maintains its
localized form. It is important to note, however, that an equation that uses the
unit step H in this way is not expressible as a finite set of reaction equations
(e.g. eqs. (1)) and therefore we would not classify this dissipative system as a R-D
system.
However, a minor variation of the Brusselator, a three-variable R-D system
known as Model G, has been theorized in 1980 to support localized, self-stabilizing
Turing patterns within a subcritical environment when the values of its system
parameters are properly chosen (LaViolette, 1980, 1985, 1994, 2008, 2010). It is
able to form a true dissipative soliton, one whose structure is stable, autonomous,
localized, and unaffected by the positions of the system boundaries. Its system of
partial differential equations are derived from a simple set of kinetic reaction equations
with diffusion, and is in fact the earliest R-D system proposed to support
solitons. Others have since reported simulation results of dissipative solitons, such
as Schenk et al. (1998) who investigated a two-variable system of the FitzHugh-
Nagumo (FN) type. Surveys of dissipative solitons produced by dissipative systems
of both the R-D and non-R-D types are given by Purwins et al. (2005), B¨odeker
(2007) and Vanag and Epstein (2007).
Dissipative solitons have generated substantial interest because of the variety of
particle-like properties they have been shown to produce such as scattering, reflection,
particle-particle bonding, orbital motion, particle annihilation, and particle
replication (Bode et al., 2002; B¨odeker, 2007; Liehr et al., 2004; Nishiura et al.,
2005; Purwins et al., 2005; Schenk et al., 1998; Vanag and Epstein, 2007). Previous
publications have demonstrated that Model G can form the basis for a unified field
theory that effectively accounts for a variety of microphysical and macrophysical
phenomena (LaViolette, 1985, 1986, 1992, 2005, 2008, 2010). In this paper, we
3
February 17, 2013 model˙g
present computer simulation results carried out for the first time on this promising
reaction system.
2. Model G
Model G is a modification of the Brusselator in which a third intermediary variable
G is inserted into the first reaction step (1a). It is specified by the following five
transformations:
A
k1
k−1
G (3a)
G
k2
k−2
X (3b)
B + X
k3
k−3
Y + Z (3c)
2X + Y
k4
k−4
3X (3d)
X
k5
k−5
 
 (3e)
where reaction step (1a) is replaced by the two reactions (3a, 3b). This R-D system
is represented by the following system of partial differential equations:
@G
@t
= DG∇2G − (k−1 + k2)G + k−2X + k1A (4a)
@X
@t
= DX∇2X + k2G − (k−2 + k3B + k5)X
+ k−3ZY − k−4X3 + k4X2Y + k−5
 
(4b)
@Y
@t
= DY∇2Y + k3BX − k−3ZY + k−4X3 − k4X2Y. (4c)
Since the forward kinetic constants have values much greater than the reverse
kinetic constants, the reactions have the overall tendency to proceed irreversibly to
the right. Nevertheless, the reverse reaction G ← X in eq. (3b) plays an important
role. This allows the concentration of the X variable to influence the concentration
value of the G variable which in turn serves as the system’s bifurcation parameter.
So, because Model G’s bifurcation parameter is able to vary in both time and space,
and be influenced by its X variable which participates in forming a soliton-like
dissipative structure, this reaction system is able to nucleate a structure which, in
the positive Y polarity (negative X), is autonomous and self-stabilizing. All that is
needed is a momentary localized fluctuation in one of the reactants sufficiently large
in amplitude and spatiotemporal breadth to initiate the growth of the soliton. This
technique of allowing a third reactant to serve as a variable bifurcation parameter
for the other two reactants is a recipe general enough for potential applicability
to other dissipative-structure-producing R-D systems, allowing them to support
dissipative solitons as well.
The seed fluctuation may be in the form of an extra term that is added to the
R-D equations, or it may be directly incorporated within the R-D equations by
4
February 17, 2013 model˙g
representing the concentration of each reactant with a stochastic term. Such “zeropoint”
fluctuations would be present if each reactant is comprised of a plurality
of constituent units (e.g., X-ons, Y-ons, G-ons) which engage in Markovian birthdeath
transformations.
A positive polarity seed fluctuation (negative X, or positive Y), arising spontaneously
in this fashion, is able to spawn a periodic structure even when the system
is initially in a subcritical homogeneous steady state. The Brusselator, on the other
hand, must always begin from an initially supercritical homogeneous steady state.
As a result, its structures are always destined to fill the entire reaction volume to
its supercritical limits. This autogenic ability, wherein a stable dissipative soliton
can form spontaneously out of system noise, is an important distinctive feature of
Model G. LaViolette (1985, 2010) has shown that this feature makes Model G a
promising candidate for modeling the formation of subatomic particles out of the
zero-point energy continuum vacuum state. How Model G has been employed to
model subatomic particles is further elaborated on in Section 3.1.
2.1 Nondimensionalization
In analyzing eqs. (4), we first pass to dimensionless variables. This reduces the
number of independent system parameters by seven, significantly simplifying the
goal of finding a particular set of system parameters (eqs. (17) below) that support
the formation of a stable soliton. In addition, this conveniently scales the dimensionless
space, time, and concentration potential values to the order of unity in the
vicinity of the soliton formation event.
We assume that the three diffusion constants DG, DX, DY, four concentrations
A, B, Z, 
, and the ten kinetic reaction rates k±i are constant in time and space.
The dimensional space, time, and concentration variables x, y, z, t, G, X, Y are
converted to their corresponding dimensionless variables x, y, z, t,G,X, Y via the
following substitutions:
x = Lx, y = Ly, z = Lz, t = Tt
G(x, y, z, t) = CG(x, y, z, t) (5)
X(x, y, z, t) = CX(x, y, z, t)
Y(x, y, z, t) = CY (x, y, z, t)
where the time, space, and concentration constants are defined, respectively, as:
T ≡
1
k−2 + k5
, L ≡
p
DGT, C ≡
1
√k4T
. (6)
These substitutions allow for eqs. (4) to be expressed in terms of dimensionless
variables:
@G
@t
= ∇2G − qG + gX + a (7a)
@X
@t
= dx∇2X + pG − (1 + b)X + uY − sX3 + X2Y + w (7b)
@Y
@t
= dy∇2Y + bX − uY + sX3 − X2Y (7c)
5
February 17, 2013 model˙g
where
dx ≡
DX
DG
, dy ≡
DY
DG
,
a ≡
k1√k4
(k−2 + k5)3/2
A, b ≡
k3
k−2 + k5
B, g ≡
k−2
k−2 + k5
, p ≡
k2
k−2 + k5
, (8)
q ≡
k−1 + k2
k−2 + k5
, s ≡
k−4
k4
, u ≡
k−3
k−2 + k5
Z, w ≡
√k4k−5
(k−2 + k5)3/2
 
.
The vector operator ∇ is taken with respect to the dimensional x, y, z terms in
eqs. (4) and with respect to the dimensionless x, y, z in eqs. (7). Since there will
never be ambiguity in its context, we use the same symbol ∇ for both.
2.2 Redimensionalization
The dimensional diffusion coefficients, kinetic constants, and constant concentrations
A, B, Z, 
 are given as follows when expressed in terms of their dimensionless
counterparts and T, L, C:
DG =
L2
T
, DX =
L2
T
dx, DY =
L2
T
dy,
k1A =
C
T
a, k2 =
1
T
p, k3B =
1
T
b, k4 =
1
C2T
, k5 =
1
T
(1 − g), (9)
k−1 =
1
T
(q − p), k−2 =
1
T
g, k−3Z =
1
T
u, k−4 =
1
C2T
s, k−5
 =
C
T
w.
2.3 Homogeneous Steady State
The homogeneous steady state is one in which
0 =
@G
@t
=
@X
@t
=
@Y
@t
(10a)
0 = ∇G = ∇X = ∇Y. (10b)
Under these conditions the differential equations (7) become algebraic with G, X,
Y having the following respective solutions:
G0 =
a + gw
q − gp
, X0 =
pa + qw
q − gp
, Y0 =
sX2
0 + b
X2
0 + u
X0. (11)
2.4 Concentration Potentials
It proves useful to consider concentration values relative to the homogeneous steady
state (LaViolette, 1985, 1994, 2008). These concentration potentials are defined as:
'G ≡ G − G0, 'X ≡ X − X0, 'Y ≡ Y − Y0. (12)
6
February 17, 2013 model˙g
Eqs. (7) are expressed in terms of concentration potentials as:
@'G
@t
= ∇2'G − q'G + g'X (13a)
@'X
@t
= dx∇2'X + p'G − (1 + b)'X + u'Y
− s
¤
('X + X0)3 − X3
0
 
+
¤
('X + X0)2('Y + Y0) − X2
0Y0
(13b)
@'Y
@t
= dy∇2'Y + b'X − u'Y
+ s
¤
('X + X0)3 − X3
0
 
¤
('X + X0)2('Y + Y0) − X2
0Y0
 
.
(13c)
This substitution is especially important when calculating numerical solutions for
G, X, and Y that correspond to a dissipative soliton, which, as will be seen below,
consists of small deviations about the homogeneous steady state values G0, X0,
and Y0.
3. Particle Formation and Structure in Model G
We examine the evolution of the system in 1, 2, and 3 dimensions of space. In
the case of 2 and 3 dimensions, circular and spherical symmetry, respectively, are
imposed upon the system.1
Each concentration potential is a function of both position x in 1D (radius r in
the case of 2D and 3D) and time t. The reaction spatial domain and total time is
specified as −50 ≤ x ≤ 50 in 1D (0 ≤ r ≤ 50 in 2D and 3D) and 0 ≤ t ≤ 100.
The boundary conditions for 1D are:2
∀x ∈ [−50, 50] : ∀t ∈[0, 100] :
'G(x, t) ≥ −G0, 'X(x, t) ≥ −X0, 'Y (x, t) ≥ −Y0 (14a)
'G(x, 0) = 0, 'X(x, 0) = 0, 'Y (x, 0) = 0 (14b)
'G(±50, t) = 0, 'X(±50, t) = 0, 'Y (±50, t) = 0. (14c)
For 2D and 3D, the boundary conditions are:
∀r ∈ [0, 50] : ∀t ∈[0, 100] :
'G(r, t) ≥ −G0, 'X(r, t) ≥ −X0, 'Y (r, t) ≥ −Y0 (15a)
'G(r, 0) = 0, 'X(r, 0) = 0, 'Y (r, 0) = 0 (15b)
'G(50, t) = 0, 'X(50, t) = 0, 'Y (50, t) = 0 (15c)
('G)r (", t) = 0, ('X)r (", t) = 0, ('Y )r (", t) = 0. (15d)
The subscript r in eqs. (15d) denote the partial derivative with respect to r.
1The circular and spherical symmetry conditions in 2 and 3 dimensions that are imposed upon the system
are due entirely to the limited availability of computational resources for this research project at the time of
this publication. The mathematics, as well as the simulation software, is general enough for these symmetry
restrictions to be removed—it is only a matter of acquiring sufficient computational time (CPU cycles)
and space (memory) to carry out the simulations.
2“8” is the universal quantifier symbol. The first line of eqs. (14) reads “For all x between −50 and 50,
and for all t from 0 to 100:”
7
February 17, 2013 model˙g
Since the soliton shall be centered at the point r = 0, the boundary condition at
r = 0 must not constrain the concentration potential values at this point. Instead,
the boundary condition is placed upon their first order derivatives with respect
to r. Under the imposed constraints of angular symmetry in 2D and 3D, these
derivatives must vanish.
Epsilon, ", is a small positive number to numerically approximate zero. " 6= 0
for computational reasons only, due to the indeterminate form the rotationallysymmetric
Laplacian takes in 2D and 3D at r = 0:
∇2' =
@2'
@r2 +
n − 1
r
@'
@r
(16)
where n ∈ {1, 2, 3} is the number of spatial dimensions. The point at r = 0 is
smoothly approximated since the limit of ∇2' as r → 0 is always finite. The
numerical simulations in this work use " = 10−9.
There are an infinite continuum of parameter values that allow for the creation of
a stationary soliton. The particular set of values that is investigated in this article
are the following:
dx = 1, dy = 12, a = 14, b = 29, g = 1/10,
p = 1, q = 1, s = 0, u = 0, w = 0. (17)
If the system is left to evolve according to eqs. (13–17), the concentrations will
remain at their homogeneous steady state values, i.e. 0 = 'G = 'X = 'Y for all r
and t. In order to initiate the formation of a soliton, we introduce a momentary
seed fluctuation in the X variable specified as :
(r, t) ≡ −e−r2
2 e−(t−10)2
18 . (18)
The time evolution of this fluctuation is graphed in Figure 3 as /10 for four
particular points in time.
For one spatial dimension, r in the above equation is replaced with x. This seed
fluctuation is incorporated into the system by adding to the right-hand side of
eq. (13b). In addition, substituting values (17) into eqs. (13), yields the following
system of nonlinear PDEs:
@'G
@t
= ∇2'G − 'G + 'X/10 (19a)
@'X
@t
= ∇2'X + 'G − 30'X − 4060/9 + ('X + 140/9)2('Y + 261/140) + (19b)
@'Y
@t
= 12∇2'Y + 29'X + 4060/9 − ('X + 140/9)2('Y + 261/140). (19c)
Eqs. (19), along with the boundary conditions (14 or 15), may then be numerically
solved on a computer.
3.1 Particle Structure in 3D
Figure 4 shows the computer-simulated evolution of 'G, 'X, and 'Y under eqs. (19)
in three spatial dimensions, subject to boundary conditions (15) and graphed at
times t = 0, t = 10, t = 13 and t = 20.
8
February 17, 2013 model˙g
-10 -5 0 5 10 -2
-1
0
1
2
Space
X Potential א10
(a) t = 0
-10 -5 0 5 10 -2
-1
0
1
2
Space
X Potential א10
(b) t = 10
-10 -5 0 5 10 -2
-1
0
1
2
Space
X Potential א10
(c) t = 13
-10 -5 0 5 10 -2
-1
0
1
2
Space
X Potential א10
(d) t = 20
Figure 3. The seed fluctuation /10.
-10 -5 0 5 10 -2
-1
0
1
2
Space
Y, G, X Potentials jY, jG, jX10
(a) t = 0
-10 -5 0 5 10 -2
-1
0
1
2
Space
Y, G, X Potentials jY, jG, jX10
(b) t = 10
-10 -5 0 5 10 -2
-1
0
1
2
Space
Y, G, X Potentials jY, jG, jX10
(c) t = 13
-10 -5 0 5 10 -2
-1
0
1
2
Space
Y, G, X Potentials jY, jG, jX10
(d) t = 20
Figure 4. 3D Particle Formation. In frames with t > 0, the three curves from top to bottom along the
central vertical axis, respectively, are 'Y (yellow), 'G (blue), and 'X/10 (magenta). The stable soliton
pattern that emerges is induced by the seed fluctuation of Figure 3.
9
February 17, 2013 model˙g
Y, G and X Potentials
-10 -5 0 5 10
-2
-1
0
1
2
jY
jG
jX
10
Space
(a) Spherically-symmetric 3D stationary particle.
Y, G and X Potentials
-10 -5 0 5 10
-0.02
-0.01
0.00
0.01
0.02
jY
jG
jX
10
Space
(b) Zoomed 100×.
Figure 5. (a) Spherically-symmetric 3D stationary particle formed from eqs. (19) and boundary conditions
(15). (b) Same data zoomed 100× vertically.
The system converges to the stationary structure shown in Figure 5(a). This
stable soliton is what is identified in Model G as an individual particle. These
simulation results show that the reaction variables produce a periodic pattern of
precise wavelength, 0 = 3.08 units, that progressively decreases in amplitude as
it extends outward from a central bell-shaped core. Figure 5(b) exhibits the extent
of the periodicity of the particle’s potential fields by zooming the vertical axis of
the simulation 100×.
The subquantum kinetics physics methodology developed by LaViolette (1985,
2008, 2010, 2012) postulates that subatomic particles are electric and gravity potential
solitons. It identifies the 'G variable with gravity potential and the 'X and
'Y variables with electric potential. Negative 'G values are associated with positive,
matter-attracting gravitational mass and positive 'G values are associated
with negative, matter-repelling gravitational mass. Positive and negative 'Y values
(negative and positive 'X values) are associated respectively with positive and negative
charge, the 'X and 'Y variables having a reciprocal relation to one another.
Since the 'G and 'X potentials are closely coupled in Model G due to the linkage of
species G and X through both forward and reverse reactions, subquantum kinetics
predicts that the electric and gravitational potentials should be closely coupled:
negative gravity potential with positive electric potential. Thus in subquantum kinetics,
subatomic particles are envisioned as local field potential inhomogeneities.
10
February 17, 2013 model˙g
Since these particular inhomogeneities share a common Turing wave pattern morphology,
this leads to a natural quantization of these fields into identical particles.
This is reminiscent of the quantization of fermionic matter fields in quantum field
theory which is invoked to explain why those fields’ particles are identical.
The simulation displayed in Figures 4 and 5 would be interpreted in subquantum
kinetics as the nucleation of a neutral subatomic particle, a neutron for example,
being nucleated by a positive charge polarity electric potential fluctuation emerging
from the subquantum zero-point energy field. In this case the particle’s core has a
positive electric potential coinciding with a negative gravity potential and creating
a local stabilizing supercritical domain. In subquantum kinetics, such fluctuations
can trigger particle nucleation even though they themselves have a field energy
potential magnitude much smaller than that of the particle they nucleate. A negatively
charged fluctuation would lead to the formation of an antimatter particle
having a core with a negative electric potential coinciding with a positive gravity
potential. But, as LaViolette (1985) has pointed out, such negative charge polarity
fluctuations emerging from system noise where the reaction system is initially
subcritical, as would be the case for the primordial vacuum state, fail to nucleate
a particle. He notes that Model G’s ability to nucleate solitons with an inherent
polarity bias favoring the matter state is a feature that is advantageous in the application
to cosmology where nature has favored the primordial creation of matter
over antimatter.
These modeling results confirm LaViolette’s 1985 prediction that Model G should
generate a dissipative space structure whose field potential has this same form: a
gaussian core surrounded by an extended asymptotic field periodicity. He proposed
that such a field potential could serve as a useful model of a subatomic particle
provided that the reaction system parameters are chosen such that the wavelength
of the soliton’s oscillatory tail equals the subatomic particle’s Compton wavelength.
He demonstrated that this periodic tail, which he termed the particle’s Turing
wave, accounts for the experimental results of both particle diffraction and orbital
quantization (LaViolette, 1985, 1994, 2010).
Later, LaViolette (2008, 2010) noted that the 'Y (and 'X) wave pattern predicted
for Model G’s Turing wave soliton field pattern has a morphology very similar to
the charge distribution model that Kelly (2002) derived for the core of the nucleon
by analyzing form factor data obtained from high energy electron beam particle
scattering experiments. Kelly obtained a best fit to this scattering data by assuming
that the nucleon’s charge and magnetization distribution had the form of a gaussian
core surrounded by a periodicity having a wavelength approximating the nucleon’s
Compton wavelength. The simulation results presented here further support this
suggestion in that they indicate that the 'X and 'Y field pattern generated by
Model G displays morphological features similar to those of the radial electric
charge distribution in the neutron and proton and should therefore serve as an
appropriate soliton field structure for modeling subatomic particles.
The amplitude of the 'X (or 'Y ) field maxima forming the simulated Model G
soliton are observed to decline as r−3.7 at r ≈ 20, as r−7 at r ≈ 40, and as r−10
at r ≈ 60. This may be compared with r−7 in standard theories for the radial
decline of the nuclear force. Because of this rapid decline, the product of the Turing
pattern field amplitude with incremental shell volume diminishes toward zero for
shells of successively greater radius, and the sum of these shell product increments
converges to a finite value. A finite value for the soliton negentropy makes Model G
attractive as a model of a subatomic particle since subquantum kinetics identifies
the 'X, 'Y field magnitudes forming the Model G soliton, with both the electric
field forming the particle’s core and with the particle’s inertial mass (LaViolette,
11
February 17, 2013 model˙g
Boundary Radius
0 5 10 15 20 25
22
23
24
25
26
27
Particle Radius r
(a) Zeroes of 'X with a variable system boundary.
Zeropoint Spacing
æ
æ
æ
æ
æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ æ
æ
æ
æ
à
à
à
à
à
à
à
à
à à à à à à à à à à à à à à à à à à à à à
à
à
à
ì
ì
ì
ì
ì
ì ì ì ì ì ì ì ì ì ì ì ì ì ì ì ì ì ì ì ì ì ì ì ì
ì
ì
ì
0 10 20 30 40 50
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
æ jY
à jG
ì jX
Midpoint Between Zeropoints
(b) Differences and locations of zeroes for 'Y , 'G, and 'X.
Figure 6. The Turing wavelength is independent of the distance between the particle core and system
boundary, and is the same value for each reactant. Figure (a) shows the periodic locations of the zeroes
of 'X (horizontal axis) for a spherically-symmetric 3D particle centered at r = 0, with a variable system
radius (vertical axis), demonstrating that the Turing wavelength is independent of the size of the enclosing
system volume. Figure (b) shows the successive differences between zeroes for 'Y , 'G, and 'X (vertical
axis) for a 1D particle at the midpoints between each zero-pair (horizontal axis). The central alignment
of zero differences demonstrates that the Turing wavelength is the same for each reactant, equal to 3.08
(twice the distance between zeroes). Similar results were found for circularly and spherically symmetric
2D and 3D particles, respectively.
1985, 2010).
We also report the simulation results of producing ordered patterns with Model
G where the reaction vessel size was progressively increased. The Turing pattern
periodicity was found to persist to the vessel boundaries and to maintain a constant
wavelength as the vessel size was expanded. This is shown in Figure 6(a) which
plots the radial distance locations of the 'X zero values (horizontal axis) against
the radial size of the spherical reaction volume (vertical axis), and shows how the
particle’s fields adjust in the vicinity of the steady-state boundary conditions. The
persistence of this wave pattern and invariance of its wavelength with increasing
vessel size demonstrates that the Turing pattern is independent of the boundary
conditions. These results also confirm the predictions of LaViolette (1994, 2008)
that the Model G Turing pattern should persist outward to large radial distances in
order to properly model the particle diffraction phenomenon. The pattern, though,
would have the inherent radial limit at the radial distance where the noise amplitude
present in the stochastic variation of each reactant concentration exceeds the
Turing wave pattern amplitude.
12
February 17, 2013 model˙g
3.2 Comparison of Particle Structures Simulated in 1D, 2D, and 3D
When Model G is simulated in 1D and 2D, it produces particles whose cores are
narrower and lower in amplitude, although their Turing wavelength remains the
same. Figure 7 shows the 1D and 2D particles formed from eqs. (19) and boundary
conditions (14) and (15), respectively. Compare these to Figure 5(a). Specific values
of the structural characteristics of the 1D, 2D, and 3D particles are shown in
Table 1. The core radius, Table 1, row (b), is defined as the inner-most zero-point
field potential crossing r0 (the least positive value for which '(r0) = 0) for each
of the concentration potentials). Note that the radius in all cases is largest for
'G and smallest for 'X. The core RMS radius, the root mean square radius rRMS
listed in row (c), for each concentration potential in each of the three dimensions
is calculated as:
rRMS =
p
hr2i
=
sR
S '(r)r2dS R
S '(r)dS
.
(20)
The integral in the denominator of the above formula is the core integral, row (d),
which is given by:
Z
S
'(r)dS =
¤¤¤¤¤¤¤¤¤
¤¤¤¤¤¤¤¤¤
Z r0
−r0
'(r)dr in 1D,
2
Z r0
0
'(r)rdr in 2D,
4
Z r0
0
'(r)r2dr in 3D
(21)
where the domain of integration S is the space within the core radius r0 defined
by each of the concentration potentials. The full integral values, row (e), use the
same formulas as the core integral, but with r0 going out to the system boundary.
The Turing wavelength, row (f), is found by first calculating successive differences
between the zeroes of each of the 3 concentration potentials 'Y , 'G, 'X. Figure 6(b)
illustrates that this is a well-defined value for all 3 concentrations at a sufficient
distance away from both the particle’s central core and the system boundaries.
The mean is calculated from the centrally-aligned data points and doubled (the
distance between zeroes is a half-wavelength) resulting in a value of 3.08. This same
0 value to 3 significant figures was found in dimensions 1D, 2D, and 3D, where
circular and spherical symmetry was imposed in the 2D and 3D cases, respectively.
4. Particle Physics in Model G
The solitons of Model G exhibit a number of properties resembling those commonly
associated with subatomic particles. Earlier we noted that the morphology of the
Model G solitons, their bell-shaped core surrounded by a Turing wave pattern of
precise wavelength, has been found to be a good description of the core field of a
nucleon. Another advantage mentioned earlier is that the full integral of the field
potential converges to a finite value. Other characteristics discussed here include
particle-particle bonding (i.e., equivalent to nuclear bonding), the gravitational
13
February 17, 2013 model˙g
Y, G and X Potentials
-10 -5 0 5 10
-1.0
-0.5
0.0
0.5
1.0
jY
jG
jX
10
Space
(a) 1D stationary particle.
Y, G and X Potentials
-10 -5 0 5 10
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
jY
jG
jX
10
Space
(b) Circularly-symmetric 2D stationary particle.
Figure 7. (a) 1D and (b) 2D stationary particles formed from eqs. (19) and boundary conditions (14, 15).
mass polarity in a particle with spin, and particle movement in a gravitational
gradient.
4.1 Multi-particle States in 1D
The single particle discussed in Section 3 was seeded from a single gaussian fluctuation
defined in eq. (18). In a similar way, multiple particles may be seeded from
multiple gaussian fluctuations, and when seed fluctuations are spaced sufficiently
close together, the resulting particles are able to coexist with one another at specific
distances of separation. We examined cases in which particles are seeded in
1D from two and three gaussian seed fluctuations.
To seed two proximal particles, we define the double-gaussian seed fluctuation:
2(x, t) ≡ (x + d2/2, t) + (x − d2/2, t) (22a)
d2 = 3.303 (22b)
and replace with 2 in eqs. (19) under boundary conditions (14). Figure 8(a)
shows the stationary two-particle solution that the system converges to by t = 100.
The final distance between the particles, defined as the distance between the core
extrema of 'X, is found to be 3.303, or about one Turing wavelength. This final
particle distance is converged to even when d2 in eq. (22a) is varied by small
14
February 17, 2013 model˙g
Table 1. Particle structure values in dimensionless units.
1D 2D 3D 2D
(a) Core amplitude
'Y 0.930 1.50 1.70 1.53
'G -0.161 -0.308 -0.411 -0.320
'X -8.36 -13.6 -14.6 -13.8
(b)
Core radius
(first zero)
'Y 0.724 1.21 1.68 1.67
'G 0.867 1.37 1.85 1.87
'X 0.642 1.13 1.61 1.58
(c) Core RMS radius
'Y 0.302 0.665 1.07 0.929
'G 0.363 0.739 1.14 1.02
'X 0.272 0.634 1.04 0.892
(d) Core integral
'Y 0.806 3.12 13.2 6.31
'G −0.167 −0.710 −3.17 −1.44
'X −6.59 −26.3 −111 −53.6
(e) Full integral
'Y 0.281 0.893 3.30 2.96
'G 8.39 × 10−5 2.88 × 10−3 2.87 × 10−2 −0.480
'X 6.01 × 10−4 0.128 1.93 −13.7
(f) Turing wavelength 3.08 3.08 3.08 3.08
amounts both higher and lower. For example when d2 = 4, the same 3.303 distance
between the particles is converged to. For this reason we may conclude that the
particles coexist in a bonded relationship to one another.
To seed three proximal particles, we define the triple-gaussian seed fluctuation:
3(x, t) ≡ (x + d3, t) + (x, t) + (x − d3, t) (23a)
d3 = 3.314. (23b)
Figure 8(b) shows the stationary three-particle solution the system converges to
by t = 100. The final distance between the particles is 3.314, which again is a
stable value that is converged to even when we make small variations in d3. Future
work will determine if such particle bonding also occurs in 2D and 3D simulations of
Model G. Others working with the FN and FN-type models, who have simulated 2D
dissipative solitons with oscillatory tails, also report particle-particle bonding and
the formation of aggregate structures variously termed “clusters” or “molecules”,
although these are formed when the solitons have initial velocities relative to one
another (Bode et al., 2002; Purwins et al., 2005; Schenk et al., 1998). As is the case
with the 1D simulations of Model G, these bound FN solitons are similarly found
to align their concentration peaks with those of their partner.
When a two-particle simulation is performed with d2 = 6.628, the two fluctuations
being separated by the same distance as between the outer two particles
of the three-particle stable state, two particles are initially created from the 2
seed fluctuations. However, the G potential well and Y potential hill formed in
the space between them by the overlapping soliton tails provide a fertile environment
that allows the spontaneous emergence of a third particle. This three-particle
15
February 17, 2013 model˙g
Y, G and X Potentials
-10 -5 0 5 10
-1.0
-0.5
0.0
0.5
1.0
jY
jG
jX
10
Space
(a) Two 1D stationary bonded particles.
Y, G and X Potentials
-10 -5 0 5 10
-1.0
-0.5
0.0
0.5
1.0
jY
jG
jX
10
Space
(b) Three 1D stationary bonded particles.
Figure 8. (a) Two and (b) three 1D stationary particles formed from eqs. (19) and boundary conditions
(14), where is replaced by (a) 2 and (b) 3.
state then converges to the same three-particle state depicted in Figure 8(b). This
confirms the earlier expectation that in Model G existing particles should produce
favorable conditions facilitating additional particle autogenesis (LaViolette, 1985,
1994, 2010). Again, further work is needed to determine if mother-daughter particle
creation also takes place in 2D and 3D simulations of Model G.
Two dimensional simulations of the FN model carried out by other researchers
have also demonstrated the dissipative soliton particle replication phenomenon
(B¨odeker, 2007; Liehr et al., 2003; Purwins et al., 2005). In one case four particles
move towards one another, collide, and form a stable bound cluster. Then a
fifth soliton nucleates at the cluster’s geometrical center where the concentration
maxima of their innermost shells intersect and thereby produce a combined concentration
maximum that is sufficiently great to induce spontaneous generation of the
fifth particle. So this replication process occurs in the FN model in much the same
fashion, although Model G spawns its progeny particles from initially stationary
parent particles.
4.2 Particle “Mass”
Looking at Figure 5(a), it may appear as if the full integral of 'G should be negative,
due to the large central G-well, compared to the smaller G-hills that surround it.
However, the contribution from these surrounding G-hill shells ultimately outweigh
16
February 17, 2013 model˙g
Y, G and X Potentials
-10 -5 0 5 10
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
jY
jG
jX
10
Space
Figure 9. Circularly-symmetric 2D particle with gaussian diffusion coefficients, centered at the origin. It
is conjectured that 3D particles may naturally form an etheric vortex through its core, producing a similar
2D cross-section perpendicular to the vortex.
the negative contribution of the G-well core and surrounding G-well shells yielding
a positive value for the full integral of 'G; see Table 1, row (e).
Subquantum kinetics interprets the full integral of 'G as modeling a particle’s
gravitational mass which creates its long-range gravity field, positive mass being
associated with a negative 'G potential (LaViolette, 1985, 2010). So, to model a
physically realistic particle of positive gravitational mass, the full integral of 'G
instead needs to be made negative. This could occur if the soliton core became
broadened. To test this possibility, we have artificially broadened the core by introducing
a variable diffusion coefficient. More specifically, we introduce a gaussian
diffusion coefficient (r) with a maximum at the center:
(r) ≡ 1 + e−4r2/9. (24)
The following substitution is made for incorporation into eqs. (19):
∇2 → (r)∇2. (25)
The resulting system of equations is numerically solved in 2D with boundary conditions
(15). The resulting stationary state at t = 100 is shown in Figure 9. The
particle structure values are shown in Table 1 column 2D. Note that in this case
the core RMS radius for the 'G potential increases by 38% and the full integral of
'G potential becomes negative thus yielding a physically realistic positive gravitational
mass.
It is possible that such core broadening might occur with the onset of a rotational
wave mode similar to the spiral waves observed in the B-Z reaction. Mihalache
(2011) describes simulations in which spiral waves form in the dissipative
soliton produced by the complex, cubic-quintic Ginzburg-Landau system. With the
emergence of the rotational wave state they find that the soliton’s core broadens
by 1.5 to 2 fold. We are currently unable to directly simulate Model G particles
with rotational wave modes since, as mentioned earlier, limitations of our available
computational resources required that we impose a symmetry condition when
simulating in 2D and 3D.
17
February 17, 2013 model˙g
4.3 1D Particle Movement in a Gravitational Gradient
The movement of a 1D particle is examined in the presence of a G-gradient. The
G-gradient of slope m is incorporated into the system by adding the function
 
m(x, t) =
(
0 if t < 100,
mx + 10−4/6 if 100 ≤ t
(26)
to the right-hand side of eq. (13a). This function allows the particle to form from
t = 0 to 100, then “turns on” a G-gradient of slope m from t = 100 to 200, during
which time we examine the particle’s positions and velocities.
Using the parameter substitutions again of eqs. (17) and solving the resulting
system of PDEs under the boundary conditions
∀x ∈ [−50, 50] : ∀t ∈ [0, 200] :
= 3875/4096 (27a)
'G(x, 0) = −0.161e−1
2 ( x
0.363 )2
(27b)
'X(x, 0) = −8.37e−1
2 ( x
0.272 )2
(27c)
'Y (x, 0) = 0.930e−1
2 ( x
0.302 )2
(27d)
'G(±50, t) = 
m(±50, t) (27e)
'X(±50, t) = 0 (27f)
'Y (±50, t) = 0 (27g)
yields the same single-particle state of Figure 7(a) as done previously. The difference
here is that the particle grows from gaussian initial conditions eqs. (27b, 27c, 27d)1
rather than the seed fluctuation . The purpose of using these initial conditions is
that eqs. (27) produce the particle more quickly than does. If we were instead
to use the fluctuation, the 1D particle would still be “settling down” at t = 100
with its core zeroes still moving on the order of 10−6 per unit time. This is the
approximate magnitude of the particle velocities due to the induced G-gradients.
In contrast, the 1D particle created from these alternate initial conditions has its
core zeroes effectively stationary at this order of magnitude, allowing us to measure
the particle’s velocity in isolation of this settling effect.
The 11 values for the G-gradients m that are examined are m = −10−5k/3 for
k ∈ {0, 1, 2, ..., 10}. See Figures 10. The position of the particle is defined to be the
midpoint between the two center-most zeroes of 'X flanking its central minimum.
This was found to be a more precise method of determining the particle’s position
than simply calculating the location of the central minimum of 'X, due to the fact
that 'X(x, t) is a numerical solution to the PDEs in this present analysis, and any
specific value is numerically interpolated. Thus points along highly sloping areas of
'X, such as its zeroes, are more accurately interpolated than local extrema, whose
precise locations must generally be extrapolated. The initial hills in Figure 10(b)
are an artifact of this method of determining the particle’s position, as the form
of the particle is slightly altered by the applied G-gradient. Because of this, the
1Note the use of the Core amplitude and Core RMS radius values from Table 1 in these 3 equations. The
constant is an overall factor used to select initial conditions that create the particle in as little time t as
possible.
18
February 17, 2013 model˙g
Particle Position H´10-5L
100 120 140 160 180 200
0
5
10
15
20
Time
(a) 1D particle positions in 11 different G-gradients.
Particle Velocity H´10-7L
100 120 140 160 180 200
0
5
10
15
20
Time
(b) 1D particle velocities in 11 different G-gradients.
Figure 10. Positions (a) and velocities (b) of the 1D particle from t = 100 to 200 for 11 different values
of the G-gradient m = −10−5k/3 for k = 0, 1, 2, ..., 10, corresponding to the data sets displayed from
bottom–up, respectively. After the G-gradient is turned on at t = 100, the particle velocity converges to a
constant value, proportional to the applied G-gradient m.
Particle Velocity H´10-6L
0 5 10 15 20 25 30
0.0
0.5
1.0
1.5
2.0
y = 0.0599x
Applied Negative G Potential Gradient H´10-6L
Figure 11. The 1D particle’s constant velocities vs. the 11 values of the applied G-gradient m form a
linear relationship.
19
February 17, 2013 model˙g
average of the velocities from t = 150 to 200 are used in the particle velocity vs.
G-gradient plot shown in Figure 11. The 11 velocities v were found to be directly
proportional to the applied G-gradient m:
v = −0.0599m. (28)
To realistically represent microphysical phenomena, Model G would need to spawn
solitons that accelerate in a G-gradient field rather than move at a constant velocity.
There are many aspects of Model G that still remain unexplored and we
feel that future work will demonstrate particle acceleration. In particular, future
3D simulations of Model G will investigate whether 3D solitons incorporating rotational
wave modes will be found to accelerate in G-gradients.
5. Conclusion
Features of Model G’s solitons in one, two, and three dimensions of space were
examined, and found to have characteristics resembling those observed for subatomic
particles. These include a structure matching observations of the nucleon’s
stationary wave charge distribution, multi-particle bonding, and movement in field
gradients. Model G was derived from the Brusselator R-D system using a recipe
general enough to potentially generate new soliton-supporting systems from R-D
systems that are unable to. All such systems would be interesting candidates to
study in the context of the subquantum kinetics methodology.
Acknowledgments
MP would like to thank Kerry Cassidy and Bill Ryan of Project Camelot for their
interview of Paul LaViolette in July of 2009.
Appendix A. Brusselator Solitons
Here we describe one other way of modifying the Brusselator in order for it to
support dissipative solitons. This involves keeping the reaction system with just
four reactions, as it was originally specified, but allowing A to vary in addition to
X and Y, and allowing non-zero reverse reaction rates for A ← X and X ← E. We
begin with the reversible Brusselator, which is specified by the following kinetic
reactions (Nicolis and Prigogine, 1977):
A
k1
k−1
X (A1a)
B + X
k2
k−2
Y + D (A1b)
2X + Y
k3
k−3
3X (A1c)
X
k4
k−4
E. (A1d)
20
February 17, 2013 model˙g
Expressed as PDEs with diffusion:
@A
@t
= DA∇2A − k1A + k−1X (A2a)
@X
@t
= DX∇2X + k1A + k−4E + k−2DY
− (k−1 + k2B + k4)X + k3X2Y − k−3X3
(A2b)
@Y
@t
= DY∇2Y − k−2DY + k2BX − k3X2Y + k−3X3. (A2c)
Passing to a dimensionless system, the units of time, space, and concentration
are identified, respectively, as:
T ≡
1
k−1 + k4
, L ≡
p
DAT, C ≡
1
√k3T
. (A3)
These are used to replace the dimensional parameters with their dimensionless
counterparts, as done in eqs. (5). Together with the dimensionless parameter substitutions
dx ≡
DX
DA
, dy ≡
DY
DA
, b ≡
k2
k−1 + k4
B, g ≡
k−1
k−1 + k4
, (A4)
p ≡
k1
k−1 + k4
, s ≡
k−3
k3
, u ≡
k−2
k−1 + k4
D, w ≡
√k3k−4
(k−1 + k4)3/2
E
eqs. (A2) become
@A
@t
= ∇2A − pA + gX (A5a)
@X
@t
= dx∇2X + pA + w + uY − (1 + b)X + X2Y − sX3 (A5b)
@Y
@t
= dy∇2Y − uY + bX − X2Y + sX3. (A5c)
We again use the same vector operator ∇ in both equation sets (A2,A5) with the
understanding that the prior is taken with respect to dimensional units, and the
latter dimensionless.
The homogeneous steady state values for A, X, and Y are, respectively,
A0 =
gw
p(1 − g)
, X0 =
w
1 − g
, Y0 =
sX2
0 + b
X2
0 + u
X0. (A6)
Defining the concentration potentials
'A ≡ A − A0, 'X ≡ X − X0, 'Y ≡ Y − Y0 (A7)
and additional system constants
c0 ≡ X2
0 + u, c1 ≡ b − 2X0Y0 + 3sX2
0 ,
c2 ≡ 2X0, c3 ≡ Y0 − 3sX0 (A8)
21
February 17, 2013 model˙g
yields
@'A
@t
= ∇2'A − p'A + g'X (A9a)
@'X
@t
= dx∇2'X + p'A − 'X + c0'Y
+ (c2'Y − c1 + ('Y + c3 − s'X)'X)'X
(A9b)
@'Y
@t
= dy∇2'Y − c0'Y
− (c2'Y − c1 + ('Y + c3 − s'X)'X)'X.
(A9c)
Solving this system in 1D with boundary conditions
∀x ∈ [−50, 50] : ∀t ∈ [0, 100] :
'A(x, 0) = −0.161e−1
2 ( x
0.363 )2
'X(x, 0) = −8.37e−1
2 ( x
0.272 )2
'Y (x, 0) = 0.930e−1
2 ( x
0.302 )2
(A10)
'A(±50, t) = 0
'X(±50, t) = 0
'Y (±50, t) = 0
and dimensionless parameter values
dx = 1, dy = 12, b = 29, g = 1/10,
p = 1, s = 0, u = 0, w = 14 (A11)
at t = 100 yields the same stationary soliton configuration shown in Figure 7(a),
with 'G replaced by 'A. Throughout the reaction, all concentrations maintain
a non-negative value, equivalent to the conditions 'A ≥ −A0, 'X ≥ −X0, and
'Y ≥ −Y0.
The same 2D and 3D soliton configurations are found as with Model G, when
circular and spherical symmetry are imposed, respectively, and with the following
modifications:
• The 3 gaussian initial conditions in eqs. (A10) have their heights and widths,
which are the values from rows (a) and (c) from Table 1, modified using the
corresponding 2D or 3D column.
• The Dirichlet boundary conditions at x = −50 for 1D are replaced by the
Neumann boundary conditions at r = 0 for 2D and 3D, as done in equation
sets (14,15).
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