theoretical computer science

A Cheeger Inequality for Size-Specific Conductance

arXiv:2303.11452

summary

The paper proposes a modified spectral cut for the μ‑conductance measure of a graph and proves a two‑sided Cheeger inequality that relates the optimal spectral solution to the size‑specific conductance.

Abstract

The -conductance measure proposed by Lovász and Simonovits is a size-specific conductance score that identifies the set with smallest conductance while disregarding those sets with volume smaller than a fraction of the whole graph. Using -conductance enables us to study the network structures in new ways. In this manuscript we study a modified spectral cut for -conductance that is a natural relaxation of the integer program of -conductance and show that the optimum of this program has a two-sided Cheeger inequality with -conductance.

Accepted by Discrete Mathematics

Topics & keywords

#graph conductance#spectral graph theory#cheeger inequality#size-specific conductance#graph partitioningμ-conductancespectral cutCheeger inequalityinteger program relaxationgraph volume