Hierarchical pinning models, quadratic maps and quenched disorder
Giambattista Giacomin, Hubert Lacoin, Fabio Lucio Toninelli

TL;DR
This paper analyzes a hierarchical polymer pinning model with quenched disorder, proving conjectures about disorder relevance depending on a geometric parameter, and identifying the critical scaling behavior for weak disorder.
Contribution
It provides a rigorous proof of the disorder relevance conjectures for the hierarchical pinning model, excluding the marginal case alpha=1/2, and determines the critical point shift scaling.
Findings
Disorder is relevant for alpha>1/2, changing the critical point.
Disorder is irrelevant for alpha<1/2, not affecting the critical point.
The correct scaling form of the critical point shift is identified for weak disorder.
Abstract
We consider a hierarchical model of polymer pinning in presence of quenched disorder, introduced by B. Derrida, V. Hakim and J. Vannimenius in 1992, which can be re-interpreted as an infinite dimensional dynamical system with random initial condition (the disorder). It is defined through a recurrence relation for the law of a random variable {R_n}_{n=1,2,...}, which in absence of disorder (i.e., when the initial condition is degenerate) reduces to a particular case of the well-known Logistic Map. The large-n limit of the sequence of random variables 2^{-n} log R_n, a non-random quantity which is naturally interpreted as a free energy, plays a central role in our analysis. The model depends on a parameter alpha>0, related to the geometry of the hierarchical lattice, and has a phase transition in the sense that the free energy is positive if the expectation of R_0 is larger than a certain…
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Quasicrystal Structures and Properties
