paper

Random walk with barycentric self-interaction

arXiv:1003.3121 · doi:10.1007/s10955-011-0218-7

Abstract

We study the asymptotic behaviour of a -dimensional self-interacting random walk () which is repelled or attracted by the centre of mass of its previous trajectory. The walk's trajectory models a random polymer chain in either poor or good solvent. In addition to some natural regularity conditions, we assume that the walk has one-step mean drift directed either towards or away from its current centre of mass and of magnitude for . When and the radial drift is outwards, we show that is transient with a limiting (random) direction and satisfies a super-diffusive law of large numbers: converges almost surely to some random vector. When there is sub-ballistic rate of escape. For we give almost-sure bounds on the norms , which in the context of the polymer model reveal extended and collapsed phases. Analysis of the random walk, and in particular of , leads to the study of real-valued time-inhomogeneous non-Markov processes on with mean drifts at given approximately by , where and . The study of such processes is a time-dependent variation on a classical problem of Lamperti; moreover, they arise naturally in the context of the distance of simple random walk on from its centre of mass, for which we also give an apparently new result. We give a recurrence classification and asymptotic theory for processes just described, which enables us to deduce the complete recurrence classification (for any ) of for our self-interacting walk.

36 pages, 2 colour figures; v2: minor revision, some corrections

References in corpus (3)

Random walk with barycentric self-interaction · wovepaper