Martingales in self-similar growth-fragmentations and their connections with random planar maps

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  • Jean Bertoin
  • Timothy George Budd
  • Nicolas Curien
  • Igor Kortchemski
The purpose of the present work is twofold. First, we develop the theory of general self-similar growth-fragmentation processes by focusing on martingales which appear naturally in this setting and by recasting classical results for branching random walks in this framework. In particular, we establish many-to-one formulas for growth-fragmentations and define the notion of intrinsic area of a growth-fragmentation. Second, we identify a distinguished family of growth-fragmentations closely related to stable Lévy processes, which are then shown to arise as the scaling limit of the perimeter process in Markovian explorations of certain random planar maps with large degrees (which are, roughly speaking, the dual maps of the stable maps of Le Gall and Miermont in Ann Probab 39:1–69, 2011). As a consequence of this result, we are able to identify the law of the intrinsic area of these distinguished growth-fragmentations. This generalizes a geometric connection between large Boltzmann triangulations and a certain growth-fragmentation process, which was established in Bertoin et al. (Ann Probab, accepted).
Original languageEnglish
JournalProbability Theory and Related Fields
Volume172
Issue number3-4
Pages (from-to)663-724
ISSN0178-8051
DOIs
Publication statusPublished - 5 Dec 2018

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