Discrete diffusion-type equation on regular graphs and its applications
We derive an explicit formula for the fundamental solution to the discrete-time diffusion equation on the -regular tree in terms of the discrete I-Bessel function. We then use the formula to derive an explicit expression for the fundamental solution to the discrete-time diffusion equation on any -re...
Saved in:
Published in: | Journal of difference equations and applications Vol. 29; no. 4; pp. 455 - 488 |
---|---|
Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Abingdon
Taylor & Francis
03-04-2023
Taylor & Francis Ltd |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | We derive an explicit formula for the fundamental solution
to the discrete-time diffusion equation on the
-regular tree
in terms of the discrete I-Bessel function. We then use the formula to derive an explicit expression for the fundamental solution
to the discrete-time diffusion equation on any
-regular graph X. Going further, we develop three applications. The first one is to derive a general trace formula that relates the spectral data on X to its topological data. Though we emphasize the results in the case when X is finite, our method also applies when X has a countably infinite number of vertices. As a second application, we obtain a closed-form expression for the return time probability distribution of the uniform random walk on any
-regular graph. The expression is obtained by relating
to the uniform random walk on a
-regular graph. We then show that if
is a sequence of
-regular graphs whose number of vertices goes to infinity and which satisfies a certain natural geometric condition, then the limit of the return time probability distributions from
is equal to the return time probability distribution on the tree
. As a third application, we derive formulas which express the number of distinct closed irreducible walks without tails on a finite graph X in terms of moments of the spectrum of its adjacency matrix. |
---|---|
ISSN: | 1023-6198 1563-5120 |
DOI: | 10.1080/10236198.2023.2219784 |