Variational characterization of the critical curve for pinning of random polymers
Dimitris Cheliotis, Frank den Hollander

TL;DR
This paper develops variational formulas to characterize the critical curve for phase transition in a random polymer pinning model, providing new insights and criteria for disorder relevance and phase boundaries.
Contribution
It introduces novel variational formulas for the quenched and annealed critical curves, enabling analysis of disorder relevance and phase transition criteria in polymer pinning models.
Findings
Derived variational formulas for critical curves
Established a criterion for disorder relevance based on relative entropy
Provided bounds for the inverse critical temperature
Abstract
In this paper we look at the pinning of a directed polymer by a one-dimensional linear interface carrying random charges. There are two phases, localized and delocalized, depending on the inverse temperature and on the disorder bias. Using quenched and annealed large deviation principles for the empirical process of words drawn from a random letter sequence according to a random renewal process [Birkner, Greven and den Hollander, Probab. Theory Related Fields 148 (2010) 403-456], we derive variational formulas for the quenched, respectively, annealed critical curve separating the two phases. These variational formulas are used to obtain a necessary and sufficient criterion, stated in terms of relative entropies, for the two critical curves to be different at a given inverse temperature, a property referred to as relevance of the disorder. This criterion in turn is used to show that the…
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.
Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Nonlinear Partial Differential Equations
