Diffusion coefficients for multi-step persistent random walks on lattices
Thomas Gilbert, David P. Sanders

TL;DR
This paper presents a method to calculate diffusion coefficients for multi-step persistent random walks on various lattices, accounting for memory effects in the walker's movement.
Contribution
It introduces a simple approach to derive explicit diffusion coefficients for two-step memory walks across different lattice types and dimensions.
Findings
Explicit formulas for diffusion coefficients on various lattices
Method applicable to walks with two-step memory
Enhanced understanding of persistent random walk behavior
Abstract
We calculate the diffusion coefficients of persistent random walks on lattices, where the direction of a walker at a given step depends on the memory of a certain number of previous steps. In particular, we describe a simple method which enables us to obtain explicit expressions for the diffusion coefficients of walks with two-step memory on different classes of one-, two- and higher-dimensional lattices.
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.
