Restricted random walks on a graph
F. Y. Wu (Northeastern University), H. Kunz (Ecole Polytechnique, Federale, Lausanne)

TL;DR
This paper develops a transfer matrix approach to analyze restricted random walks on graphs, deriving explicit generating functions that account for reversal steps, with applications to various lattice structures and the complete graph.
Contribution
It introduces a closed-form transfer matrix method for counting restricted random walks with reversals on any graph, linking results to eigenvalues of the adjacency matrix.
Findings
Explicit generating functions for walks with reversals on graphs.
Application of the method to periodic lattices and complete graphs.
Connection between generating functions and adjacency matrix eigenvalues.
Abstract
The problem of a restricted random walk on graphs which keeps track of the number of immediate reversal steps is considered by using a transfer matrix formulation. A closed-form expression is obtained for the generating function of the number of n-step walks with r reversal steps for walks on any graph. In the case of graphs of a uniform valence, we show that our result has a probabilistic meaning, and deduce explicit expressions for the generating function in terms of the eigenvalues of the adjacency matrix. Applications to periodic lattices and the complete graph are given.
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
TopicsQuantum chaos and dynamical systems · Stochastic processes and statistical mechanics · Mathematical Dynamics and Fractals
