Lévy Diffusion Under Power-Law Stochastic Resetting

We investigated the diffusive dynamics of a Lévy walk subject to stochastic resetting through combined numerical and theoretical approaches. Under exponential resetting, the process mean squared displacement (MSD) undergoes a sharp transition from free superdiffusive behavior with exponent γ0 to a steady-state saturation regime. In contrast, power-law resetting with exponent β exhibits three asymptotic MSD regimes: free superdiffusion for β<1, superdiffusive scaling with a linearly β-decreasing exponent for 1<β<γ0+1, and localization characterized by finite steady-state plateaus for β>γ0+1. MSD scaling laws derived via renewal theory-based analysis demonstrate excellent agreement with numerical simulations. These findings offer new insights for optimizing search strategies and controlling transport processes in non-equilibrium environments.

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Journal
Entropy
Published
2026-01-15
DOI
https://doi.org/10.3390/e28010104
Primary Topic
Diffusion and Search Dynamics
Type
article
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article

Lévy Diffusion Under Power-Law Stochastic Resetting

Jianli Liu, Yunyun Li, Fabio Marchesoni
Entropy
Diffusion and Search Dynamics
article

Lévy Diffusion Under Power-Law Stochastic Resetting

Jianli Liu, Yunyun Li, Fabio Marchesoni
article en

Abstract

We investigated the diffusive dynamics of a Lévy walk subject to stochastic resetting through combined numerical and theoretical approaches. Under exponential resetting, the process mean squared displacement (MSD) undergoes a sharp transition from free superdiffusive behavior with exponent γ0 to a steady-state saturation regime. In contrast, power-law resetting with exponent β exhibits three asymptotic MSD regimes: free superdiffusion for β<1, superdiffusive scaling with a linearly β-decreasing exponent for 1<β<γ0+1, and localization characterized by finite steady-state plateaus for β>γ0+1. MSD scaling laws derived via renewal theory-based analysis demonstrate excellent agreement with numerical simulations. These findings offer new insights for optimizing search strategies and controlling transport processes in non-equilibrium environments.

EntropyVol. 28(1)
Università di Camerino (IT), Tongji University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 87%
Diffusion and Search Dynamics
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