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Activity spillover enhances finite-time transitions in the Ising game, but this effect disappears in the infinite time limit. This study develops an analytical method to understand these long-term dynamics.

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Area of Science:

  • Statistical Mechanics
  • Complex Systems Dynamics

Background:

  • The Ising game models interactions and phase transitions.
  • Activity spillover can influence transition dynamics in finite timescales.

Purpose of the Study:

  • To investigate transitions between metastable states in the Ising game's low-temperature phase over infinite time.
  • To determine if activity spillover affects transitions in the infinite time limit.

Main Methods:

  • Development of an analytical description for infinite time trajectories.
  • Introduction of an analytical approach to estimate transition probabilities in the infinite time limit.
  • Comparison of analytical results with kinetic Monte Carlo simulations.

Main Results:

  • Exponential enhancement from activity spillover, observed in finite-time transitions, is absent in the infinite time limit.
  • An analytical method for estimating infinite time transition probabilities was successfully developed.
  • Analytical predictions align with kinetic Monte Carlo simulation results.

Conclusions:

  • Activity spillover does not provide exponential enhancement for transitions in the infinite time limit.
  • The developed analytical approach accurately describes long-term dynamics of metastable state transitions.
  • Findings offer insights into complex systems and transitions between metastable states.