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Isotropic random walks in a tree
Authors:Stanley Sawyer
Affiliation:(1) Purdue University, Math. Sci. Bldg., 47907 West Lafayette, Indiana, USA
Abstract:Summary Let T be an infinite homogeneous tree of order a+1. We study Markov chains {Xn} in T whose transition functions p(x, y)=A[d(x,y)] depend only on the shortest distance between x and y in the graph. The graph T can be represented as a symmetric space of a p-adic matrix group; we prove a series of results using essentially the spherical functions of this symmetric space. Theorem 1.d(Xn,x)simbeta n a.s., where beta>0 if A(0) ne 1, X0=x. Assuming {Xn} is strongly aperiodic, Theorem 2. p2(x, y)simCRn/n3/2 for fixed x, y where R=sumphgr(d) A(d)<1, and if E[d(X1, X0)2]<infin, Theorem 3. R(1–u, x, y) = sum(1–u)npn(x, y)=Ca–d[exp(–du/beta)+od(1)] as d=d(x,y)rarrinfin uniformly for 0lEulE2. Using Theorem 3, we calculate the Martin boundary Dirichlet kernel of p(x, y) on T, which turns out to be independent of {itA(d)}. We also consider a ldquostepping-stonerdquo model of a randomly-mating-and-migrating population on the nodes of T. If initially all individuals are distinct, then in generation n approximately half of the individuals of a given type are within betan of a typical one and essentially all are within 2betan.This work was partially supported by the National Science Foundation under grant number MCS 75-08098-A01For the academic year 1977–78: Department of Mathematics GN-50, University of Washington, Seattle, Washington 98195 USA
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