{ "id": "1208.0306", "version": "v1", "published": "2012-08-01T18:15:53.000Z", "updated": "2012-08-01T18:15:53.000Z", "title": "Moment asymptotics for branching random walks in random environment", "authors": [ "Onur Gün", "Wolfgang König", "Ozren Sekulović" ], "comment": "18 pages, 3 figures", "categories": [ "math.PR" ], "abstract": "We consider the long-time behaviour of a branching random walk in random environment on the lattice $\\Z^d$. The migration of particles proceeds according to simple random walk in continuous time, while the medium is given as a random potential of spatially dependent killing/branching rates. The main objects of our interest are the annealed moments $< m_n^p > $, i.e., the $p$-th moments over the medium of the $n$-th moment over the migration and killing/branching, of the local and global population sizes. For $n=1$, this is well-understood \\cite{GM98}, as $m_1$ is closely connected with the parabolic Anderson model. For some special distributions, \\cite{A00} extended this to $n\\geq2$, but only as to the first term of the asymptotics, using (a recursive version of) a Feynman-Kac formula for $m_n$. In this work we derive also the second term of the asymptotics, for a much larger class of distributions. In particular, we show that $< m_n^p >$ and $< m_1^{np} >$ are asymptotically equal, up to an error $\\e^{o(t)}$. The cornerstone of our method is a direct Feynman-Kac-type formula for $m_n$, which we establish using the spine techniques developed in \\cite{HR11}.", "revisions": [ { "version": "v1", "updated": "2012-08-01T18:15:53.000Z" } ], "analyses": { "subjects": [ "60J80", "60J55", "60F10", "60K37" ], "keywords": [ "branching random walk", "random environment", "moment asymptotics", "th moment", "direct feynman-kac-type formula" ], "note": { "typesetting": "TeX", "pages": 18, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2012arXiv1208.0306G" } } }