Inter-Event Time Power Laws in Heterogeneous Systems

Fuente: arXiv
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Main Authors: Ettori, Federico, Sluckin, Timothy J., Biscari, Paolo
Format: Preprint
Published: 2024
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author Ettori, Federico
Sluckin, Timothy J.
Biscari, Paolo
author_facet Ettori, Federico
Sluckin, Timothy J.
Biscari, Paolo
contents We investigate the dynamic behavior of spin reversal events in the dilute Ising model, focusing on the influence of static disorder introduced by pinned spins. Our Monte Carlo simulations reveal that in a homogeneous, defect-free system, the inter-event time (IET) between local spin flips follows an exponential distribution, characteristic of Poissonian processes. However, in heterogeneous systems where defects are present, we observe a significant departure from this behavior. At high temperatures, the IET exhibits a power-law distribution resulting from the interplay of spins located in varying potential environments, where defect density influences reversal probabilities. At low temperatures, all site classes converge to a unique power-law distribution, regardless of their potential, leading to distinct critical exponents for the high- and low-temperature regimes. This transition from exponential to power-law behavior underscores the critical response features of magnetic systems with defects, suggesting analogies to glassy dynamics. Our findings highlight the complex mechanisms governing spin dynamics in disordered systems, with implications for understanding the universal aspects of relaxation in glassy materials.
format Preprint
id arxiv_https___arxiv_org_abs_2411_10608
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Inter-Event Time Power Laws in Heterogeneous Systems
Ettori, Federico
Sluckin, Timothy J.
Biscari, Paolo
Statistical Mechanics
We investigate the dynamic behavior of spin reversal events in the dilute Ising model, focusing on the influence of static disorder introduced by pinned spins. Our Monte Carlo simulations reveal that in a homogeneous, defect-free system, the inter-event time (IET) between local spin flips follows an exponential distribution, characteristic of Poissonian processes. However, in heterogeneous systems where defects are present, we observe a significant departure from this behavior. At high temperatures, the IET exhibits a power-law distribution resulting from the interplay of spins located in varying potential environments, where defect density influences reversal probabilities. At low temperatures, all site classes converge to a unique power-law distribution, regardless of their potential, leading to distinct critical exponents for the high- and low-temperature regimes. This transition from exponential to power-law behavior underscores the critical response features of magnetic systems with defects, suggesting analogies to glassy dynamics. Our findings highlight the complex mechanisms governing spin dynamics in disordered systems, with implications for understanding the universal aspects of relaxation in glassy materials.
title Inter-Event Time Power Laws in Heterogeneous Systems
topic Statistical Mechanics
url https://arxiv.org/abs/2411.10608