{ "id": "cond-mat/0603243", "version": "v1", "published": "2006-03-09T12:02:58.000Z", "updated": "2006-03-09T12:02:58.000Z", "title": "Stochastic Deformations of Sample Paths of Random Walks and Exclusion Models", "authors": [ "Guy Fayolle", "Cyril Furtlehner" ], "comment": "Conference Proceedings, MathInfo2004, Vienna, 15 pages, 1 figure", "journal": "In Mathematics and computer science. III, Trends Math., pages 415--428. Birkh\\\"auser, Basel, 2004", "categories": [ "cond-mat.stat-mech", "cond-mat.other" ], "abstract": "This study in centered on models accounting for stochastic deformations of sample paths of random walks, embedded either in $\\mathbb{Z}^2$ or in $\\mathbb{Z}^3$. These models are immersed in multi-type particle systems with exclusion. Starting from examples, we give necessary and sufficient conditions for the underlying Markov processes to be reversible, in which case their invariant measure has a Gibbs form. Letting the size of the sample path increase, we find the convenient scalings bringing to light phase transition phenomena. Stable and metastable configurations are bound to time-periods of limiting deterministic trajectories which are solution of nonlinear differential systems: in the example of the ABC model, a system of Lotka-Volterra class is obtained, and the periods involve elliptic, hyper-elliptic or more general functions. Lastly, we discuss briefly the contour of a general approach allowing to tackle the transient regime via differential equations of Burgers' type.", "revisions": [ { "version": "v1", "updated": "2006-03-09T12:02:58.000Z" } ], "analyses": { "keywords": [ "random walks", "stochastic deformations", "exclusion models", "light phase transition phenomena", "sample path increase" ], "tags": [ "conference paper", "journal article" ], "note": { "typesetting": "TeX", "pages": 15, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2006cond.mat..3243F" } } }