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A Combinatorial Algorithm for Computing the Degree of the Determinant of a Generic Partitioned Polynomial Matrix with \(2\,\times \,2\) Submatrices

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Integer Programming and Combinatorial Optimization (IPCO 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12707))

Abstract

In this paper, we consider the problem of computing the degree of the determinant of a block-structured symbolic matrix (a generic partitioned polynomial matrix) \(A = (A_{\alpha \beta } x_{\alpha \beta } t^{d_{\alpha \beta }})\), where \(A_{\alpha \beta }\) is a \(2 \times 2\) matrix over a field \(\mathbf {F}\), \(x_{\alpha \beta }\) is an indeterminate, and \(d_{\alpha \beta }\) is an integer for \(\alpha , \beta = 1,2,\dots , n\), and t is an additional indeterminate. This problem can be viewed as an algebraic generalization of the maximum perfect bipartite matching problem.

The main result of this paper is a combinatorial \(O(n^5)\)-time algorithm for the deg-det computation of a \((2 \times 2)\)-type generic partitioned polynomial matrix of size \(2n \times 2n\). We also present a min-max theorem between the degree of the determinant and a potential defined on vector spaces. Our results generalize the classical primal-dual algorithm (Hungarian method) and min-max formula (Egerváry’s theorem) for maximum weight perfect bipartite matching.

The author was supported by JSPS KAKENHI Grant Number JP17K00029, 20K23323, 20H05795, Japan.

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Correspondence to Yuni Iwamasa .

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Iwamasa, Y. (2021). A Combinatorial Algorithm for Computing the Degree of the Determinant of a Generic Partitioned Polynomial Matrix with \(2\,\times \,2\) Submatrices. In: Singh, M., Williamson, D.P. (eds) Integer Programming and Combinatorial Optimization. IPCO 2021. Lecture Notes in Computer Science(), vol 12707. Springer, Cham. https://doi.org/10.1007/978-3-030-73879-2_9

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  • DOI: https://doi.org/10.1007/978-3-030-73879-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73878-5

  • Online ISBN: 978-3-030-73879-2

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