Doubling constants and spectral theory on graphs
Estibalitz Durand-Cartagena, Javier Soria, Pedro Tradacete

TL;DR
This paper investigates the minimal doubling constants on graphs, establishing a lower bound related to the spectral radius of the adjacency matrix, and characterizes graphs with small doubling constants, linking spectral and automorphism properties.
Contribution
It provides a lower bound for the doubling constant using spectral radius and characterizes graphs with small doubling constants, connecting spectral theory and graph automorphisms.
Findings
Lower bound for doubling constant: 1 + spectral radius of adjacency matrix
Complete characterization of graphs with doubling constant less than 3
Relation between automorphism group amenability and doubling minimizers
Abstract
We study the least doubling constant among all possible doubling measures defined on a (finite or infinite) graph . We show that this constant can be estimated from below by , where is the spectral radius of the adjacency matrix of , and study when both quantities coincide. We also illustrate how amenability of the automorphism group of a graph can be related to finding doubling minimizers. Finally, we give a complete characterization of graphs with doubling constant smaller than 3, in the spirit of Smith graphs.
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Taxonomy
TopicsGraph theory and applications · Matrix Theory and Algorithms · Spectral Theory in Mathematical Physics
