A combinatorial result with applications to self-interacting random walks
Mark Holmes, Thomas S. Salisbury

TL;DR
This paper presents combinatorial results related to arrow collections that help analyze self-interacting random walks, leading to reproofs of known results and new insights into multi-excited and random environment walks.
Contribution
It introduces combinatorial tools applicable to self-interacting random walks, providing new results and simplified proofs for recurrence and transience in various models.
Findings
Reproved known transience and recurrence results
Established new results for multi-excited random walks
Extended analysis to random walks in random environments
Abstract
We give a series of combinatorial results that can be obtained from any two collections (both indexed by ) of left and right pointing arrows that satisfy some natural relationship. When applied to certain self-interacting random walk couplings, these allow us to reprove some known transience and recurrence results for some simple models. We also obtain new results for one-dimensional multi-excited random walks and for random walks in random environments in all dimensions.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Theoretical and Computational Physics
