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Entropy-Based Proofs of Combinatorial Results on Bipartite Graphs

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 Added by Igal Sason
 Publication date 2021
and research's language is English
 Authors Igal Sason




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This work considers new entropy-based proofs of some known, or otherwise refined, combinatorial bounds for bipartite graphs. These include upper bounds on the number of the independent sets, lower bounds on the minimal number of colors in constrained edge coloring, and lower bounds on the number of walks of a given length in bipartite graphs. The proofs of these combinatorial results rely on basic properties of the Shannon entropy.

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113 - Yizhe Zhu 2020
We consider the spectral gap of a uniformly chosen random $(d_1,d_2)$-biregular bipartite graph $G$ with $|V_1|=n, |V_2|=m$, where $d_1,d_2$ could possibly grow with $n$ and $m$. Let $A$ be the adjacency matrix of $G$. Under the assumption that $d_1geq d_2$ and $d_2=O(n^{2/3}),$ we show that $lambda_2(A)=O(sqrt{d_1})$ with high probability. As a corollary, combining the results from Tikhomirov and Youssef (2019), we confirm a conjecture in Cook (2017) that the second singular value of a uniform random $d$-regular digraph is $O(sqrt{d})$ for $1leq dleq n/2$ with high probability. This also implies that the second eigenvalue of a uniform random $d$-regular digraph is $O(sqrt{d})$ for $1leq dleq n/2$ with high probability. Assuming $d_2=O(1)$ and $d_1=O(n^2)$, we further prove that for a random $(d_1,d_2)$-biregular bipartite graph, $|lambda_i^2(A)-d_1|=O(sqrt{d_1(d_2-1)})$ for all $2leq ileq n+m-1$ with high probability. The proofs of the two results are based on the size biased coupling method introduced in Cook, Goldstein, and Johnson (2018) for random $d$-regular graphs and several new switching operations we defined for random bipartite biregular graphs.
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