Glass transition of a particle in a random potential, front selection in nonlinear RG and entropic phenomena in Liouville and SinhGordon models
David Carpentier, Pierre Le Doussal

TL;DR
This paper investigates the glass transition of a particle in a logarithmically correlated random potential using renormalization group, numerics, and analytical bounds, revealing universal features and connections to Liouville and sinh-Gordon models.
Contribution
It introduces a nonlinear RG framework to analyze the glass transition in correlated landscapes and uncovers universal extremal statistics and phase transition phenomena.
Findings
Existence of a finite-temperature glass transition in logarithmic correlated potentials.
Universal tail behavior of minimal energy distributions.
Connections between glass transition and Liouville/sinh-Gordon models.
Abstract
We study via RG, numerics, exact bounds and qualitative arguments the equilibrium Gibbs measure of a particle in a -dimensional gaussian random potential with {\it translationally invariant logarithmic} spatial correlations. We show that for any it exhibits a transition at . The low temperature glass phase has a non trivial structure, being dominated by {\it a few} distant states (with replica symmetry breaking phenomenology). In finite dimension this transition exists only in this ``marginal glass'' case (energy fluctuation exponent ) and disappears if correlations grow faster (single ground state dominance ) or slower (high temperature phase). The associated extremal statistics problem for correlated energy landscapes exhibits universal features which we describe using a non linear (KPP) RG equation. These include the tails of the distribution…
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Taxonomy
TopicsTheoretical and Computational Physics · Statistical Mechanics and Entropy · Complex Systems and Time Series Analysis
