Edge distribution in generalized graph products
Michael Langberg, Dan Vilenchik

TL;DR
This paper investigates the edge distribution in generalized graph products based on a parameterized function, demonstrating that graphs with spectral gaps exhibit well-behaved edge distributions, extending classical results and providing new constructions.
Contribution
It introduces a framework for analyzing edge distribution in generalized graph products, extending known tensor and or-products, and applies spectral gap conditions to establish near-random edge distribution properties.
Findings
Edge distribution in graph products is well-behaved with spectral gap
Results extend to bipartite graph products
Provides a new explicit construction of co-spectral graphs
Abstract
Given a graph , an integer , and a function , the graph product of w.r.t is the graph with vertex set , and an edge between two vertices and iff . Graph products are a basic combinatorial object, widely studied and used in different areas such as hardness of approximation, information theory, etc. We study graph products for functions of the form iff there are at least indices s.t. , where is a fixed parameter in . This framework generalizes the well-known graph tensor-product (obtained for ) and the graph or-product (obtained for ). The property that interests us is the edge distribution in such graphs. We show that if has a spectral gap, then the number of edges connecting "large-enough" sets…
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Taxonomy
TopicsGraph theory and applications · Mathematical Approximation and Integration · Limits and Structures in Graph Theory
