{ "id": "1501.01041", "version": "v1", "published": "2015-01-05T23:54:09.000Z", "updated": "2015-01-05T23:54:09.000Z", "title": "Convex Hulls of Random Walks: Large-Deviation Properties", "authors": [ "Gunnar Claussen", "Alexander K. Hartmann", "Satya N. Majumdar" ], "comment": "10 pages, 12 figures, 2 tables", "categories": [ "cond-mat.stat-mech", "physics.data-an" ], "abstract": "We study the convex hull of the set of points visited by a two-dimensional random walker of T discrete time steps. Two natural observables that characterize the convex hull in two dimensions are its perimeter L and area A. While the mean perimeter and the mean area have been studied before, analytically and numerically, and exact results are known for large T (Brownian motion limit), little is known about the full distributions P(A) and P(L). In this paper, we provide numerical results for these distributions. We use a sophisticated large-deviation approach that allows us to study the distributions over a larger range of the support, where the probabilities P(A) and P(L) are as small as 10^{-300}. We analyze (open) random walks as well as (closed) Brownian bridges on the two-dimensional discrete grid as well as in the two-dimensional plane. The resulting distributions exhibit, for large T, a universal scaling behavior (independent of the details of the jump distributions) as a function of A/T and L/\\sqrt{T}, respectively. We are also able to obtain the rate function, describing rare events at the tails of these distributions, via a numerical extrapolation scheme and find a linear and square dependence as a function of the rescaled perimeter and the rescaled area, respectively.", "revisions": [ { "version": "v1", "updated": "2015-01-05T23:54:09.000Z" } ], "analyses": { "keywords": [ "convex hull", "random walks", "large-deviation properties", "distributions", "brownian motion limit" ], "note": { "typesetting": "TeX", "pages": 10, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2015arXiv150101041C" } } }