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Resonant activation in a colored multiplicative thermal noise driven closed system
Somrita Ray1, Debasish Mondal2, Bidhan Chandra Bag1
1Department of Chemistry, Visva-Bharati, Santiniketan 731 235, India.
Resonant activation (RA) is achievable in closed systems with random forces. The study shows barrier-crossing rates exhibit turnover behavior and a maximum with increasing coupling strength, validating analytical and simulation results.
Area of Science:
- Statistical physics
- Stochastic processes
- Non-equilibrium thermodynamics
Background:
- Resonant activation (RA) is a phenomenon where an external periodic force can enhance barrier crossing in bistable systems.
- Understanding RA in complex environments, such as thermodynamically closed systems with frictional effects, is crucial for various physical and chemical processes.
Purpose of the Study:
- To investigate the possibility and characteristics of resonant activation (RA) in a thermodynamically closed system.
- To analyze the influence of noise correlation time, noise variance, and multiplicative noise coupling strength on the barrier-crossing rate.
- To compare simulation results with analytical predictions for stochastic processes.
Main Methods:
- Simulating a particle in a potential experiencing random force and frequency-dependent damping from a thermal bath.
- Analyzing the barrier-crossing rate as a function of noise correlation time and coupling strength.
- Comparing numerical simulation data with analytical calculations.
Main Results:
- Demonstrated RA in a closed system with random forces and frequency-dependent damping.
- Observed a turnover behavior in the barrier-crossing rate versus noise correlation time at fixed noise variance.
- Found that the barrier-crossing rate peaks with increasing multiplicative noise coupling strength, with potential disappearance at high damping.
Conclusions:
- Resonant activation is feasible in thermodynamically closed systems under specific stochastic conditions.
- The study provides a comprehensive analysis of RA, highlighting key parameters influencing barrier-crossing dynamics.
- Excellent agreement between analytical and numerical results validates the theoretical framework and simulation approach.
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