Positive discrepancy, MaxCut, and eigenvalues of graphs
Eero R\"aty, Benny Sudakov, Istv\'an Tomon

TL;DR
This paper investigates the positive discrepancy of graphs, providing new bounds based on average degree and extending classical results, with implications for eigenvalues and graph cuts.
Contribution
It extends Alon's positive discrepancy bounds to broader degree ranges and establishes new lower bounds on eigenvalues for regular graphs using semidefinite programming.
Findings
Discrepancy bounds vary with degree ranges, optimal for certain regimes.
Regular graphs with specific degree ratios have large cuts, exceeding random expectations.
Lower bounds on second eigenvalues extend Alon-Boppana theorem in dense graphs.
Abstract
The positive discrepancy of a graph of edge density is defined as In 1993, Alon proved (using the equivalent terminology of minimum bisections) that if is -regular on vertices, and , then . We greatly extend this by showing that if has average degree , then if , if , and if . These bounds are best possible if , and the complete bipartite graph shows that cannot be improved if . Our proofs are based on semidefinite programming and linear…
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Taxonomy
TopicsMathematical Approximation and Integration · Graph theory and applications · Advancements in Battery Materials
