Scaling limits for the random walk penalized by its range in dimension one

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Publication:6392026

arXiv2202.11953MaRDI QIDQ6392026

Nicolas Bouchot

Publication date: 24 February 2022

Abstract: In this article we study a one dimensional model for a polymer in a poor solvent: the random walk on mathbbZ penalized by its range. More precisely, we consider a Gibbs transformation of the law of the simple symmmetric random walk by a weight exp(hn|Rn|), with |Rn| the number of visited sites and hn a size-dependent positive parameter. We use gambler's ruin estimates to obtain exact asymptotics for the partition function, that enables us to obtain a precise description of trajectories, in particular scaling limits for the center and the amplitude of the range. A phase transition for the fluctuations around an optimal amplitude is identified at hnapproxn1/4 , inherent to the underlying lattice structure.












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