A Combinatorial Algorithm for Computing the Rank of a Generic Partitioned Matrix with 2x2 Submatrices
A Combinatorial Algorithm for Computing the Rank of a Generic Partitioned Matrix with 2x2 Submatrices
复制标题
计算具有 2x2 子矩阵的通用划分矩阵的秩的组合算法
DOI:
10.1007/978-3-030-45771-6_16
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Iwamasa Yuni
中科院分区:
文献类型:
--
作者:
Hirai Hiroshi;Iwamasa Yuni
In this paper, we consider the problem of computing the rank of a block-structured symbolic matrix (a generic partitioned matrix), whereis amatrix over a fieldandis an indeterminate forand. This problem can be viewed as an algebraic generalization of the bipartite matching problem and was considered by Iwata and Murota (SIAM J Matrix Anal Appl 16(3):719–734, 1995). Recent interests in this problem lie in the connection with non-commutative Edmonds’ problem by Ivanyos et al. (Comput Complex 27:561–593, 2018) and Garg et al. (Found. Comput. Math. 20:223–290, 2020), where a result by Iwata and Murota implicitly states that the rank and non-commutative rank (nc-rank) are the same for this class of symbolic matrices. The main result of this paper is a simple and combinatorial-time algorithm for computing the symbolic rank of a-type generic partitioned matrix of size. Our algorithm is inspired by the Wong sequence algorithm by Ivanyos et al. for the nc-rank of a general symbolic matrix, and requires no blow-up operation, no field extension, and no additional care for bounding the bit-size. Moreover it naturally provides a maximum rank completion ofAfor an arbitrary field.