Quenched local limit theorem for a directed random walk on the backbone of a supercritical oriented percolation cluster for $d \ge 1$
Stein Andreas Bethuelsen, Matthias Birkner, Andrej Depperschmidt, Timo Schl\"uter

TL;DR
This paper extends the quenched local limit theorem for a directed random walk on the backbone of a supercritical oriented percolation cluster, proving it holds for all spatial dimensions $d \, \ge \, 1$, not just $d \, \ge \, 3$.
Contribution
The authors prove that the quenched local limit theorem previously established for higher dimensions also applies to all dimensions $d \, \ge \, 1$, broadening its applicability.
Findings
Quenched local limit theorem holds for all $d \ge 1$.
Extension from $d \ge 3$ to all $d \ge 1$.
Supports the universality of the local limit behavior.
Abstract
In this work we extend the quenched local limit theorem obtained by the authors in [BBDS23]. More precisely, we consider a directed random walk on the backbone of the supercritical oriented percolation cluster in dimensions with being the spatial dimension. In [BBDS23] an annealed local central limit theorem was proven for all and a quenched local limit theorem under the assumption . Here we show that the latter result also holds for all .
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 · Markov Chains and Monte Carlo Methods · Geometry and complex manifolds
