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Main Authors: Chee, Yeow Meng, Le, Quoc Tung, Ta, Hoang
Format: Preprint
Published: 2023
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Online Access:https://arxiv.org/abs/2308.07187
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author Chee, Yeow Meng
Le, Quoc Tung
Ta, Hoang
author_facet Chee, Yeow Meng
Le, Quoc Tung
Ta, Hoang
contents In this paper, we study the asymptotic nonnegative rank of matrices, which characterizes the asymptotic growth of the nonnegative rank of fixed nonnegative matrices under the Kronecker product. This quantity is important since it governs several notions in information theory such as the so-called exact Rényi common information and the amortized communication complexity. By using the theory of asymptotic spectra of V. Strassen (J. Reine Angew. Math. 1988), we define formally the asymptotic spectrum of nonnegative matrices and give a dual characterization of the asymptotic nonnegative rank. As a complementary of the nonnegative rank, we introduce the notion of the subrank of a nonnegative matrix and show that it is exactly equal to the size of the maximum induced matching of the bipartite graph defined on the support of the matrix (therefore, independent of the value of entries). Finally, we show that two matrix parameters, namely rank and fractional cover number, belong to the asymptotic spectrum of nonnegative matrices.
format Preprint
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institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On the Asymptotic Nonnegative Rank of Matrices and its Applications in Information Theory
Chee, Yeow Meng
Le, Quoc Tung
Ta, Hoang
Information Theory
Computational Complexity
Commutative Algebra
In this paper, we study the asymptotic nonnegative rank of matrices, which characterizes the asymptotic growth of the nonnegative rank of fixed nonnegative matrices under the Kronecker product. This quantity is important since it governs several notions in information theory such as the so-called exact Rényi common information and the amortized communication complexity. By using the theory of asymptotic spectra of V. Strassen (J. Reine Angew. Math. 1988), we define formally the asymptotic spectrum of nonnegative matrices and give a dual characterization of the asymptotic nonnegative rank. As a complementary of the nonnegative rank, we introduce the notion of the subrank of a nonnegative matrix and show that it is exactly equal to the size of the maximum induced matching of the bipartite graph defined on the support of the matrix (therefore, independent of the value of entries). Finally, we show that two matrix parameters, namely rank and fractional cover number, belong to the asymptotic spectrum of nonnegative matrices.
title On the Asymptotic Nonnegative Rank of Matrices and its Applications in Information Theory
topic Information Theory
Computational Complexity
Commutative Algebra
url https://arxiv.org/abs/2308.07187