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Summary

We model discrete randomness in bistable systems. Increasing environmental complexity (N) leads to relaxation, not chaos, with outcomes determined by initial conditions.

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Area of Science:

  • Statistical Mechanics
  • Nonlinear Dynamics
  • Quantum Chaos

Background:

  • Bistable systems exhibit complex dynamics when coupled to environments.
  • Understanding discrete randomness is crucial for modeling emergent behavior.

Purpose of the Study:

  • To investigate the transition from integrable to chaotic dynamics in a bistable system.
  • To explore the role of environmental degrees of freedom (N) in system relaxation.
  • To reconcile symmetry in initial conditions with spontaneous symmetry breaking in the final state.

Main Methods:

  • Microscopic model construction with a quartic double well coupled to N harmonic oscillators.
  • Numerical solution of time-reversal invariant Hamiltonian equations of motion.
  • Analysis of autocorrelation, partial entropy, and inter-well jump frequency as functions of N.

Main Results:

  • For N=1, a transition from integrable to chaotic motion occurs with increasing coupling strength (Kolmogorov-Arnol'd-Moser scenario).
  • For N >= 10, dynamics shift to quasi-relaxation towards stable equilibria.
  • System relaxation outcomes are reproducibly determined by initial bath asymmetries, despite overall symmetry.

Conclusions:

  • Environmental complexity drives bistable systems towards relaxation rather than sustained chaos.
  • The model reconciles macroscopic irreversibility and symmetry breaking with microscopic time-reversal invariance.
  • Residual initial asymmetries dictate the direction of spontaneous symmetry breaking.