Central Limit Theorem for the Excited Random Walk in dimension $d \geq 2$
Jean B\'erard, Alejandro Ram\'irez

TL;DR
This paper establishes a law of large numbers and a central limit theorem for excited random walks in all dimensions greater than or equal to two, extending understanding of their long-term behavior.
Contribution
It proves the law of large numbers and central limit theorem for excited random walks in all dimensions d ≥ 2, filling a gap in the theoretical understanding.
Findings
Law of large numbers proven for excited random walks
Central limit theorem established in all dimensions d ≥ 2
Extends previous results to higher dimensions
Abstract
We prove that a law of large numbers and a central limit theorem hold for the excited random walk model in every dimension .
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 · Theoretical and Computational Physics
