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Positive discrepancy, MaxCut, and eigenvalues of graphs
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abstract
The positive discrepancy of a graph $G$ of edge density $p=e(G)/\binom{v(G)}{2}$ is defined as $$\mbox{disc}^{+}(G)=\max_{U\subset V(G)}e(G[U])-p\binom{|U|}{2}.$$ In 1993, Alon proved (using the equivalent terminology of minimum bisections) that if $G$ is $d$-regular on $n$ vertices, and $d=O(n^{1/9})$, then $\mbox{disc}^{+}(G)=\Omega(d^{1/2}n)$. We greatly extend this by showing that if $G$ has average degree $d$, then $\mbox{disc}^{+}(G)=\Omega(d^{\frac{1}{2}}n)$ if $d\in [0,n^{\frac{2}{3}}]$, $\Omega(n^2/d)$ if $d\in [n^{\frac{2}{3}},n^{\frac{4}{5}}]$, and $\Omega(d^{\frac{1}{4}}n/\log n)$ if $d\in \left[n^{\frac{4}{5}},(\frac{1}{2}-\varepsilon)n\right]$. These bounds are best possible if $d\ll n^{3/4}$, and the complete bipartite graph shows that $\mbox{disc}^{+}(G)=\Omega(n)$ cannot be improved if $d\approx n/2$. Our proofs are based on semidefinite programming and linear algebraic techniques. An interesting corollary of our results is that every $d$-regular graph on $n$ vertices with ${\frac{1}{2}+\varepsilon\leq \frac{d}{n}\leq 1-\varepsilon}$ has a cut of size $\frac{nd}{4}+\Omega(n^{5/4}/\log n)$. This is not necessarily true without the assumption of regularity, or the bounds on $d$. The positive discrepancy of regular graphs is controlled by the second eigenvalue $\lambda_2$, as $\mbox{disc}^{+}(G)\leq \frac{\lambda_2}{2} n+d$. As a byproduct of our arguments, we present lower bounds on $\lambda_2$ for regular graphs, extending the celebrated Alon-Boppana theorem in the dense regime.
Forward citations
Cited by 3 Pith papers
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An Alon-Boppana--type bound for very dense graphs, with applications to max-cut
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Factorization norms and an inverse theorem for MaxCut
Boolean matrices with bounded γ2-norm or normalized trace norm contain linear-sized homogeneous submatrices, and graphs with near-minimal MaxCut contain a large clique.
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Relative discrepancy of hypergraphs
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