Monotonicity for excited random walk in high dimensions
Remco van der Hofstad, Mark Holmes

TL;DR
This paper proves that in high dimensions (d ≥ 9), the drift of excited random walk increases monotonically with the excitement parameter, providing insight into the behavior of such stochastic processes.
Contribution
It establishes the monotonicity of the drift in the excitement parameter for excited random walks in high dimensions, a result not previously known.
Findings
Drift is monotone in excitement parameter for d ≥ 9
Provides theoretical proof for high-dimensional excited random walks
Enhances understanding of stochastic process behavior in high dimensions
Abstract
We prove that the drift for excited random walk in dimension is monotone in the excitement parameter , when .
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 · Diffusion and Search Dynamics · Markov Chains and Monte Carlo Methods
