An entropy based proof of the Moore bound for irregular graphs

TL;DR

This paper offers entropy-based proofs for the Moore bound in irregular graphs, extending classical bounds to irregular and bipartite graphs using random walk entropy analysis.

Contribution

It introduces entropy methods to prove Moore bounds for irregular graphs and bipartite graphs, providing a novel approach beyond traditional combinatorial proofs.

Findings

Established Moore bounds for irregular graphs using entropy of random walks.

Extended Moore bounds to bipartite graphs with irregular degrees.

Provided new proofs that unify bounds for different graph classes.

Abstract

We provide proofs of the following theorems by considering the entropy of random walks: Theorem 1.(Alon, Hoory and Linial) Let G be an undirected simple graph with n vertices, girth g, minimum degree at least 2 and average degree d: Odd girth: If g=2r+1,then n \geq 1 + d*(\Sum_{i=0}^{r-1}(d-1)^i) Even girth: If g=2r,then n \geq 2*(\Sum_{i=0}^{r-1} (d-1)^i) Theorem 2.(Hoory) Let G = (V_L,V_R,E) be a bipartite graph of girth g = 2r, with n_L = |V_L| and n_R = |V_R|, minimum degree at least 2 and the left and right average degrees d_L and d_R. Then, n_L \geq \Sum_{i=0}^{r-1}(d_R-1)^{i/2}(d_L-1)^{i/2} n_R \geq \Sum_{i=0}^{r-1}(d_L-1)^{i/2}(d_R-1)^{i/2}