The asymptotic spectrum distance, graph limits, and the Shannon capacity
David de Boer, Pjotr Buys, Jeroen Zuiddam

TL;DR
This paper introduces the asymptotic spectrum distance, a new graph limit theory, to analyze Shannon capacity, providing novel bounds and insights into graph convergence and infinite graph limits.
Contribution
It develops a new graph distance theory based on asymptotic spectrum duality and applies it to Shannon capacity, including constructing converging graph sequences and new capacity bounds.
Findings
Constructed non-trivial converging graph sequences
Established connections between finite graph convergence and infinite graph properties
Derived a new Shannon capacity lower bound for the fifteen-cycle
Abstract
Determining the Shannon capacity of graphs is a long-standing open problem in information theory, graph theory and combinatorial optimization. Over decades, a wide range of upper and lower bound methods have been developed to analyze this problem. However, despite tremendous effort, even small instances of the problem have remained open. In recent years, a new dual characterization of the Shannon capacity of graphs, asymptotic spectrum duality, has unified and extended known upper bound methods and structural theorems. In this paper, building on asymptotic spectrum duality, we develop a new theory of graph distance, that we call asymptotic spectrum distance, and corresponding limits (reminiscent of, but different from, the celebrated theory of cut-norm, graphons and flag algebras). We propose a graph limit approach to the Shannon capacity problem: to determine the Shannon capacity of…
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Taxonomy
TopicsGraph theory and applications · Spectral Theory in Mathematical Physics · Mathematical Analysis and Transform Methods
