The homogenous tree as an electric network
Alice Vatamanelu

TL;DR
This paper explores the electrical network model of an infinite homogeneous tree, linking it to simple random walks and deriving key properties like voltages, currents, and hitting times through electric network theory.
Contribution
It provides a novel application of electric network theory to analyze random walks on homogeneous trees, simplifying proofs of their properties.
Findings
Explicit formulas for voltages and currents on the tree.
Expressions for Green function hitting times.
Probabilities of reaching sets before others.
Abstract
Let T be an infinite homogenous tree of homogeneity . Attaching to each edge the conductance , the tree will became an electric network. The reversible Markov chain associated to this network is the simple random walk on the homogenous tree. Using results regarding the equivalence between a reversible Markov chain and an electric network, we will express voltages, currents, the Green fuction hitting times, transitions number, probabilities of reaching a set before another, as functions of the distance on the homogenous tree. This connection enables us to give simpler proofs for the properties of the random walk under discussion.
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
TopicsComplex Network Analysis Techniques · Graph theory and applications · Markov Chains and Monte Carlo Methods
