{ "id": "math/0509524", "version": "v1", "published": "2005-09-22T16:39:46.000Z", "updated": "2005-09-22T16:39:46.000Z", "title": "Continuum tree limit for the range of random walks on regular trees", "authors": [ "Thomas Duquesne" ], "comment": "42 pages; 1 figure; 2004", "categories": [ "math.PR" ], "abstract": "Let $b$ be an integer greater than 1 and let $W^{\\ee}=(W^{\\ee}_n; n\\geq 0)$ be a random walk on the $b$-ary rooted tree $\\U_b$, starting at the root, going up (resp. down) with probability $1/2+\\epsilon$ (resp. $1/2 -\\epsilon$), $\\epsilon \\in (0, 1/2)$, and choosing direction $i\\in \\{1, ..., b\\}$ when going up with probability $a_i$. Here $\\aa =(a_1, ..., a_b)$ stands for some non-degenerated fixed set of weights. We consider the range $\\{W^{\\ee}_n ; n\\geq 0 \\}$ that is a subtree of $\\U_b $. It corresponds to a unique random rooted ordered tree that we denote by $\\tau_{\\epsilon}$. We rescale the edges of $\\tau_{\\epsilon}$ by a factor $\\ee $ and we let $\\ee$ go to 0: we prove that correlations due to frequent backtracking of the random walk only give rise to a deterministic phenomenon taken into account by a positive factor $\\gamma (\\aa)$. More precisely, we prove that $\\tau_{\\epsilon}$ converges to a continuum random tree encoded by two independent Brownian motions with drift conditioned to stay positive and scaled in time by $\\gamma (\\aa)$. We actually state the result in the more general case of a random walk on a tree with an infinite number of branches at each node ($b=\\infty$) and for a general set of weights $\\aa =(a_n, n\\geq 0)$.", "revisions": [ { "version": "v1", "updated": "2005-09-22T16:39:46.000Z" } ], "analyses": { "subjects": [ "G22" ], "keywords": [ "random walk", "continuum tree limit", "regular trees", "independent brownian motions", "deterministic phenomenon taken" ], "note": { "typesetting": "TeX", "pages": 42, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2005math......9524D" } } }