Total disconnectedness and percolation for the supports of super-tree random measures
Edwin Perkins, Delphin S\'enizergues

TL;DR
This paper investigates the connectedness and disconnectedness of the support of super-tree random measures, providing conditions for total disconnectedness and percolation, with implications for super-Brownian motion in various dimensions.
Contribution
It establishes new sufficient conditions for total disconnectedness and percolation of STRM supports, linking these properties to super-Brownian motion and percolation theory.
Findings
Support is totally disconnected in dimensions three and higher.
Existence of a non-trivial connected component in two dimensions under certain conditions.
Connections between STRMs and super-Brownian motion suggest similar properties in related models.
Abstract
Super-tree random measures (STRMs) were introduced by Allouba, Durrett, Hawkes and Perkins as a simple stochastic model which emulates a superprocess at a fixed time. A STRM arises as the a.s. limit of a sequence of empirical measures for a discrete time particle system which undergoes independent supercritical branching and independent random displacement (spatial motion) of children from their parents. We study the connectedness properties of the closed support of a STRM () for a particular choice of random displacement. Our main results are distinct sufficient conditions for the a.s. total disconnectedness (TD) of , and for percolation on which will imply a.s. existence of a non-trivial connected component in . We illustrate a close connection between a subclass of these STRM's and super-Brownian…
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 · Bayesian Methods and Mixture Models · Mathematical Dynamics and Fractals
