Subordination of discrete snakes
Antoine Aurillard, Mathieu Mourichoux
Abstract
Motivated by applications in random geometry, we investigate the notion of subordination of snakes in the discrete setup. More precisely, given a random walk W indexed by a tree T and with steps in \...,-1,0,1\, we consider its subordinate tree obtained by contracting every edge of T that does not lead to a new record of the walk W. When the underlying tree T is a Bienaymé-Galton-Watson tree, we characterize the distribution of this subordinate tree. In particular, when T has a critical offspring distribution in an α-stable domain of attraction with α∈(1,2], and under a light tails assumption on the steps, we prove that the associated subordinate tree is itself a Bienaymé-Galton-Watson tree with an offspring distribution in an α+12-stable domain of attraction. Along the way, we obtain the asymptotic tail of the maximal displacement of the critical branching random walk W in this stable regime, under minimal assumptions. Finally, we use these results to prove scaling limit statements about the subordinate tree.
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