Logarithmic critical slowing down in complex systems: from statics to dynamics

Fuente: arXiv
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Auteurs principaux: Leuzzi, Luca, Rizzo, Tommaso
Format: Preprint
Publié: 2024
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author Leuzzi, Luca
Rizzo, Tommaso
author_facet Leuzzi, Luca
Rizzo, Tommaso
contents We consider second-order phase transitions in which the order parameter is a replicated overlap matrix. We focus on a tricritical point that occurs in a variety of mean-field models and that, more generically, describes higher order liquid-liquid or liquid-glass transitions. We show that the static replicated theory implies slowing down with a logarithmic decay in time. The dynamical equations turn out to be those predicted by schematic Mode Coupling Theory for supercooled viscous liquids at a $A_3$ singularity, where the parameter exponent is $λ=1$. We obtain a quantitative expression for the parameter $μ$ of the logarithmic decay in terms of cumulants of the overlap, which are physically observable in experiments or numerical simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2403_07565
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Logarithmic critical slowing down in complex systems: from statics to dynamics
Leuzzi, Luca
Rizzo, Tommaso
Disordered Systems and Neural Networks
Materials Science
Soft Condensed Matter
Statistical Mechanics
We consider second-order phase transitions in which the order parameter is a replicated overlap matrix. We focus on a tricritical point that occurs in a variety of mean-field models and that, more generically, describes higher order liquid-liquid or liquid-glass transitions. We show that the static replicated theory implies slowing down with a logarithmic decay in time. The dynamical equations turn out to be those predicted by schematic Mode Coupling Theory for supercooled viscous liquids at a $A_3$ singularity, where the parameter exponent is $λ=1$. We obtain a quantitative expression for the parameter $μ$ of the logarithmic decay in terms of cumulants of the overlap, which are physically observable in experiments or numerical simulations.
title Logarithmic critical slowing down in complex systems: from statics to dynamics
topic Disordered Systems and Neural Networks
Materials Science
Soft Condensed Matter
Statistical Mechanics
url https://arxiv.org/abs/2403.07565