{ "id": "1605.06958", "version": "v1", "published": "2016-05-23T09:49:09.000Z", "updated": "2016-05-23T09:49:09.000Z", "title": "Convex Hulls of Multiple Random Walks: A Large-Deviation Study", "authors": [ "Timo Dewenter", "Gunnar Claussen", "Alexander K. Hartmann", "Satya N. Majumdar" ], "comment": "11 pages, 14 figures", "categories": [ "cond-mat.stat-mech", "physics.data-an" ], "abstract": "We study the polygons governing the convex hull of a point set created by the steps of $n$ independent two-dimensional random walkers. Each such walk consists of $T$ discrete time steps, where $x$ and $y$ increments are i.i.d. Gaussian. We analyze area $A$ and perimeter $L$ of the convex hulls. We obtain probability densities for these two quantities over a large range of the support by using a large-deviation approach allowing us to study densities below $10^{-900}$. We find that the densities exhibit a universal scaling behavior as a function of $A/T$ and $L/\\sqrt{T}$, respectively. As in the case of one walker ($n=1$), the densities follow Gaussian distributions for $L$ and $\\sqrt{A}$, respectively. We also obtained the rate functions for the area and perimeter, rescaled with the scaling behavior of their maximum possible values, and found limiting functions for $T \\rightarrow \\infty$, revealing that the densities follow the large-deviation principle. These rate functions can be described by a power law for $n \\rightarrow \\infty$ as found in the $n=1$ case. We also investigated the behavior of the averages as a function of the number of walks $n$ and found good agreement with the predicted behavior.", "revisions": [ { "version": "v1", "updated": "2016-05-23T09:49:09.000Z" } ], "analyses": { "keywords": [ "multiple random walks", "convex hull", "large-deviation study", "independent two-dimensional random walkers", "rate functions" ], "note": { "typesetting": "TeX", "pages": 11, "language": "en", "license": "arXiv", "status": "editable" } } }