The Annals of Applied Probability

A heteropolymer near a linear interface

Marek Biskup and Frank den Hollander
Source: Ann. Appl. Probab. Volume 9, Number 3 (1999), 668-687.

Abstract

We consider a quenched-disordered heteropolymer, consisting of hydrophobic and hydrophylic monomers, in the vicinity of an oil-water interface. The heteropolymer is modeled by a directed simple random walk$(i, S_i)_{i\epsilon\mathbb{N}}$ on $\mathbb{N} \times \mathbb{Z}$ with an interaction given by the Hamiltonians $H_n^{\omega}(S) = \lambda \Sigma_{i=1}^n(\omega_i + h)\text{sign}(S_i)(n \epsilon \mathbb{N})$. Here, $\lambda$ and h are parameters and $(\omega_i)_{i\epsilon\mathbb{N}}$ are i.i.d. $\pm1$-valued random variables. The sign $(S_i) = \pm1$ indicates whether the ith monomer is above or below the interface, the $\omega_i = \pm1$ indicates whether the ith monomer is hydrophobic or hydrophylic. It was shown by Bolthausen and den Hollander that the free energy exhibits a localization-delocalization phase transition at a curve in the $(\lambda, h)$-plane.

In the present paper we show that the free-energy localization concept is equivalent to pathwise localization. In particular, we prove that free-energy localization implies exponential tightness of the polymer excursions away from the interface, strictly positive density of intersections with the interface and convergence of ergodic averages along the polymer. We include an argument due to G. Giacomin, showing that free-energy delocalization implies that there is pathwise delocalization in a certain weak sense.

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Primary Subjects: 60K35
Secondary Subjects: 82B44, 82D30
Full-text: Open access
Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aoap/1029962808
Mathematical Reviews number (MathSciNet): MR1722277
Digital Object Identifier: doi:10.1214/aoap/1029962808
Zentralblatt MATH identifier: 0971.60098

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Digital Object Identifier: doi:10.1214/aop/1024404516
Project Euclid: euclid.aop/1024404516
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The Annals of Applied Probability

The Annals of Applied Probability

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