Subordination of discrete snakes
Antoine Aurillard, Mathieu Mourichoux
Source 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 indexed by a tree and with steps in , we consider its subordinate tree obtained by contracting every edge of that does not lead to a new record of the walk . When the underlying tree is a Bienaymé-Galton-Watson tree, we characterize the distribution of this subordinate tree. In particular, when has a critical offspring distribution in an -stable domain of attraction with , 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 -stable domain of attraction. Along the way, we obtain the asymptotic tail of the maximal displacement of the critical branching random walk 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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