Finite-size effects and intermittency in a simple aging system
Estelle Pitard (Montpellier, France)

TL;DR
This paper analyzes the intermittent dynamics and fluctuations in a simple aging system, deriving analytical distributions of trapping times and correlations, and linking these to experimental observations in glassy systems.
Contribution
It introduces a model dividing the system into independent subsystems, deriving analytical forms for trapping time distributions and correlation functions during aging.
Findings
Distribution of trapping times can be power-law, stretched-exponential, or exponential.
Effective number of subsystems decreases with age, affecting dynamics.
Probability distributions of decorrelation intervals show power-law behavior.
Abstract
We study the intermittent dynamics and the fluctuations of the dynamic correlation function of a simple aging system. Given its size and its coherence length , the system can be divided into independent subsystems, where , and is the dimension of space. Each of them is considered as an aging subsystem which evolves according to an activated dynamics between energy levels. We compute analytically the distribution of trapping times for the global system, which can take power-law, stretched-exponential or exponential forms according to the values of and the regime of times considered. An effective number of subsystems at age , , can be defined, which decreases as increases, as well as an effective coherence length, , where characterizes the trapping times distribution of a single…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
