{ "id": "1703.09731", "version": "v1", "published": "2017-03-28T18:04:34.000Z", "updated": "2017-03-28T18:04:34.000Z", "title": "Survival asymptotics for branching random walks in IID environments", "authors": [ "Janos Englander", "Yuval Peres" ], "comment": "2 figures", "categories": [ "math.PR" ], "abstract": "We first study a model, introduced recently in \\cite{ES}, of a critical branching random walk in an IID random environment on the $d$-dimensional integer lattice. The walker performs critical (0-2) branching at a lattice point if and only if there is no `obstacle' placed there. The obstacles appear at each site with probability $p\\in [0,1)$ independently of each other. We also consider a similar model, where the offspring distribution is subcritical. Let $S_n$ be the event of survival up to time $n$. We show that on a set of full $\\mathbb P_p$-measure, as $n\\to\\infty$, (i) Critical case: P^{\\omega}(S_n)\\sim\\frac{2}{qn}; (ii) Subcritical case: P^{\\omega}(S_n)= \\exp\\left[\\left( -C_{d,q}\\cdot \\frac{n}{(\\log n)^{2/d}} \\right)(1+o(1))\\right], where $C_{d,q}>0$ does not depend on the branching law. Hence, the model exhibits `self-averaging' in the critical case but not in the subcritical one. I.e., in (i) the asymptotic tail behavior is the same as in a \"toy model\" where space is removed, while in (ii) the spatial survival probability is larger than in the corresponding toy model, suggesting spatial strategies. We utilize a spine decomposition of the branching process as well as some known results on random walks.", "revisions": [ { "version": "v1", "updated": "2017-03-28T18:04:34.000Z" } ], "analyses": { "subjects": [ "60J80" ], "keywords": [ "branching random walk", "survival asymptotics", "iid environments", "critical case", "asymptotic tail behavior" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable" } } }