Journal Article10.1103/physreve.106.034208
Anomalous transport tuned through stochastic resetting in the rugged energy landscape of a chaotic system with roughness.
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TL;DR: In this article , the anomalous transport of a particle moving in a chaotic system with a stochastic resetting and a rough potential was investigated, and the authors investigated the effect of roughness and nonequilibrium noise on the transport of the particle.
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Abstract: Stochastic resetting causes kinetic phase transitions, whereas its underlying physical mechanism remains to be elucidated. We here investigate the anomalous transport of a particle moving in a chaotic system with a stochastic resetting and a rough potential and focus on how the stochastic resetting, roughness, and nonequilibrium noise affect the transports of the particle. We uncover the physical mechanism for stochastic resetting resulting in the anomalous transport in a nonlinear chaotic system: The particle is reset to a new basin of attraction which may be different from the initial basin of attraction from the view of dynamics. From the view of the energy landscape, the particle is reset to a new energy state of the energy landscape which may be different from the initial energy state. This resetting can lead to a kinetic phase transition between no transport and a finite net transport or between negative mobility and positive mobility. The roughness and noise also lead to the transition. Based on the mechanism, the transport of the particle can be tuned by these parameters. For example, the combination of the stochastic resetting, roughness, and noise can enhance the transport and tune negative mobility, the enhanced stability of the system, and the resonant-like activity. We analyze these results through variances (e.g., mean-squared velocity, etc.) and correlation functions (i.e., velocity autocorrelation function, position-velocity correlation function, etc.). Our results can be extensively applied in the biology, physics, and chemistry, even social system.
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Optimization in First-Passage Resetting.
TL;DR: This work investigates classic diffusion with the added feature that a diffusing particle is reset to its starting point each time the particle reaches a specified threshold, and derives the condition to optimize the net gain in this system, namely the reward minus the cost.
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Transport properties and first-arrival statistics of random motion with stochastic reset times
TL;DR: This work studies the existence of a finite equilibrium mean-square displacement (MSD) when resets are applied to random motion with 〈x^{2}(t)〉_{m}∼t^{p} for 0
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Time averaging and emerging nonergodicity upon resetting of fractional Brownian motion and heterogeneous diffusion processes.
TL;DR: In this article, the authors examined the impact of resetting on the MSD-and TAMSD-based spreading dynamics of particles executing fractional Brownian motion (FBM) with a long-time memory, heterogeneous diffusion processes (HDPs), with a power-law space-dependent diffusivity $D(x)={D}_{0}{|x|}^{\ensuremath{\gamma}}$ and their combined'' process of HDP-FBM.
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Aleksandra Słapik,Jerzy Łuczka,Peter Hänggi,Peter Hänggi,Jakub Spiechowicz,Jakub Spiechowicz +5 more
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