Occupation Statistics of Critical Branching Random Walks in Two or Higher Dimensions

Details Occupation Statistics of Critical Branching Random Walks in Two or Higher Dimensions Occupation Statistics of Critical Branching Random Walks in Two or Higher Dimensions

2007-07-25

arxiv.org/abs/0707.3829v3

Mathematics

Probability

Scientific paper

Consider a critical nearest neighbor branching random walk on the $d$-dimensional integer lattice initiated by a single particle at the origin. Let $G_{n}$ be the event that the branching random walk survives to generation $n$. We obtain limit theorems conditional on the event $G_{n}$ for a variety of occupation statistics: (1) Let $V_{n}$ be the maximal number of particles at a single site at time $n$. If the offspring distribution has finite $\alpha$th moment for some integer $\alpha\geq 2$, then in dimensions 3 and higher, $V_n=O_p(n^{1/\alpha})$; and if the offspring distribution has an exponentially decaying tail, then $V_n=O_p(\log n)$ in dimensions 3 and higher, and $V_n=O_p((\log n)^2)$ in dimension 2. Furthermore, if the offspring distribution is non-degenerate then $P(V_n\geq \delta \log n | G_{n})\to 1$ for some $\delta >0$. (2) Let $M_{n} (j)$ be the number of multiplicity-$j$ sites in the $n$th generation, that is, sites occupied by exactly $j$ particles. In dimensions 3 and higher, the random variables $M_{n} (j)/n$ converge jointly to multiples of an exponential random variable. (3) In dimension 2, the number of particles at a "typical" site (that is, at the location of a randomly chosen particle of the $n$th generation) is of order $O_p(\log n)$, and the number of occupied sites is $O_p(n/\log n)$.

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