Local times and excursions for self-similar Markov trees
Jean Bertoin, Armand Riera, Alejandro Rosales-Ortiz

TL;DR
This paper develops local time measures for self-similar Markov trees, enabling detailed analysis of the decoration process and its excursions, with convergence results linking local times to harmonic measure and implications for tree structure.
Contribution
It constructs local time measures on self-similar Markov trees, characterizes the decoration process along branches, and shows how local times relate to harmonic measure and tree geometry.
Findings
Local time measures are constructed for various levels of the tree.
The law of the decoration along a branch is characterized by a self-similar Markov process.
Normalized local times converge to harmonic measure as the level approaches zero.
Abstract
This work builds upon the recent monograph [5] on self-similar Markov trees. A self-similar Markov tree is a random real tree equipped with a function from the tree to that we call the decoration. Here, we construct local time measures at every level of the decoration for a large class of self-similar Markov trees. This enables us to mark at random a typical point in the tree at which the decoration is . We identify the law of the decoration along the branch from the root to this tagged point in terms of a remarkable (positive) self-similar Markov process. We also show that after a proper normalization, converges as to the harmonic measure on the tree. Finally, we point out that using a local time measure instead of the usual length measure to compute distances on the tree turn the latter into a continuous branching…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Advanced Queuing Theory Analysis · Theoretical and Computational Physics
