Maximally Chaotic Dynamical Systems and Fundamental Interactions
George Savvidy

TL;DR
This paper reviews how ergodic theory and maximally chaotic dynamical systems (MCDS) apply to fundamental physics, including gauge fields, gravity, turbulence, and black hole thermodynamics, highlighting their role in understanding complex systems.
Contribution
It provides a comprehensive overview of MCDS in relation to fundamental interactions and explores their classical and quantum properties in physics.
Findings
MCDS characterized by positive Kolmogorov entropy and exponential instability.
Anosov systems on negatively curved manifolds form a rich class of MCDS.
MCDS are relevant for understanding turbulence, statistical mechanics, and black hole thermodynamics.
Abstract
We give a general review on the application of Ergodic theory to the investigation of dynamics of the Yang-Mills gauge fields and of the gravitational systems, as well as its application in the Monte Carlo method and fluid dynamics. In ergodic theory the maximally chaotic dynamical systems (MCDS) can be defined as dynamical systems that have nonzero Kolmogorov entropy. The hyperbolic dynamical systems that fulfil the Anosov C-condition belong to the MCDS insofar as they have exponential instability of their phase trajectories and positive Kolmogorov entropy. It follows that the C-condition defines a rich class of MCDS that span over an open set in the space of all dynamical systems. The large class of Anosov-Kolmogorov MCDS is realised on Riemannian manifolds of negative sectional curvatures and on high-dimensional tori. The interest in MCDS is rooted in the attempts to understand the…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Mathematical Dynamics and Fractals · Quantum chaos and dynamical systems
