Abstract

Experiments have repeatedly revealed the existence of a dynamical structured fractal 3-space, with a speed relative to the Earth of some 500 km sec−1 from a southerly direction. Experiments have ranged from optical light speed anisotropy interferometers to zener diode quantum detectors. This dynamical space has been missing from theories from the beginning of physics. This dynamical space generates a growing universe and gravity when included in a generalised Schrodinger equation and light bending when included in generalised Maxwell equations. Here we review ongoing attempts to construct a deeper theory of the dynamical space starting from a stochastic pattern generating model that appears to result in 3-dimensional geometrical elements, “gebits” and accompanying quantum behaviour. The essential concept is that reality is a process and geometrical models for space and time are inadequate.

Highlights

  • The phenomena of space and time are much richer and more complex than captured by the prevailing geometrical models, which originated with the earliest work by Galileo and Newton

  • In that sense the patterns posses a semantic information meaning, namely that the dynamical system self-recognises and interacts with patterns in a manner determined by the structure of the patterns, rather the entities being specified by syntactical rules, as in present day physics, in which symbols and the rules of manipulation are specified outside of the theory, i.e., “laws of physics’ are imposed

  • The discovery that a dynamical space exists by Cahill and Kitto (2003) represented a dramatic turning point in our understanding of reality, since until physicists had assumed that space and time, or even spacetime, were successful purely geometrical modellings of the phenomena of space and time and denied any notion that a dynamical 3-space exists which displays a flow velocity wrt an observer and which displays turbulence/gravitational wave effects

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Summary

Introduction

The phenomena of space and time are much richer and more complex than captured by the prevailing geometrical models, which originated with the earliest work by Galileo and Newton. These wij, which define sets of strongly linked nodes, will persist through more iterations than smaller valued wij and, as well, they become further linked by the iterator to form a three-dimensional process-space with embedded topological defects In this way the stochastic neural network creates stable strange attractors and as well determines their interaction properties. As well these gebits are undergoing linking because their active nodes (Cahill and Klinger, 2000) activate the B−1 new-links process between them and so by analogy the gebits themselves form larger structures with embedded fuzzy topological defects This emergent behaviour is suggestive of a quantum space foam, but one containing topological defects which will be preserved by the system, unless annihilation events occur. In the case of Maxwell’s EM theory the dynamical space is incorporated into the vacuum field equation by making the change ∂/∂t → ∂/∂t + v⋅∇ (Cahill 2009a)

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