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2005, Communications of the Korean Mathematical Society
The set of all m × n matrices with entries in Z + is denoted by Mm×n(Z+). We say that a linear operator T on Mm×n(Z+) is a (U, V)-operator if there exist invertible matrices U ∈ M m×m (Z +) and V ∈ M n×n (Z +) such that either T (X) = U XV for all X in Mm×n(Z+), or m = n and T (X) = U X t V for all X in Mm×n(Z+). In this paper we show that a linear operator T preserves the rank of matrices over the nonnegative integers if and only if T is a (U, V)operator. We also obtain other characterizations of the linear operator that preserves rank of matrices over the nonnegative integers.
2006
We characterize the linear operators which preserve the factor rank of integer matrices. That is, if M is the set of all m £ n matrices with entries in the integers and min(m;n) > 1, then a linear operator T on M preserves the factor rank of all matrices in M if and only if T has the form either T(X) = UXV for all X 2 M, or m = n and T(X) = UX t V for all X 2 M, where U and V are suitable nonsingular integer matrices. Other characterizations of factor rank-preservers of integer matrices are also given.
Proceedings of the American Mathematical Society, 1998
The maximal column rank of an m by n matrix over a semiring is the maximal number of the columns of A which are linearly independent. We characterize the linear operators which preserve the maximal column ranks of nonnegative integer matrices.
Kyungpook mathematical journal, 2013
In this paper, we consider the row rank inequalities derived from comparisons of the row ranks of the additions and multiplications of nonnegative integer matrices and construct the sets of nonnegative integer matrix pairs which is occurred at the extreme cases for the row rank inequalities. We characterize the linear operators that preserve these extreme sets of nonnegative integer matrix pairs * Corresponding Author.
Czechoslovak Mathematical Journal, 2000
Linear and Multilinear Algebra, 2003
The maximal column rank of an m by n matrix over a semiring is the maximal number of the columns of A which are linearly independent. We characterize the linear operators which preserve the maximal column ranks of nonnegative integer matrices.
Linear Algebra and Its Applications, 2011
We classify the bijective linear operators on spaces of matrices over antinegative commutative semirings with no zero divisors which preserve certain rank functions such as the symmetric rank, the factor rank and the tropical rank. We also classify the bijective linear operators on spaces of matrices over the max-plus semiring which preserve the Gondran-Minoux row rank or the Gondran-Minoux column rank.
Mathematics
There are many characterizations of linear operators from various matrix spaces into themselves which preserve term rank. In this research, we characterize the linear maps which preserve any two term ranks between different matrix spaces over anti-negative semirings, which extends the previous results on characterizations of linear operators from some matrix spaces into themselves. That is, a linear map T from p × q matrix spaces into m × n matrix spaces preserves any two term ranks if and only if T preserves all term ranks if and only if T is a ( P , Q , B )-block map.
Linear Algebra and its Applications, 2009
We consider the set of m × n nonnegative real matrices and define the nonnegative rank of a matrix A to be the minimum k such that
Rocky Mountain Journal of Mathematics, 1983
Let T be a linear transformation on M m ,"(F), the set of all m x n matrices over the algebraically closed field F, and let Rj denote the subset of all matrices of rank j. Further let R E = U/e£ Rj where E is a subset of {0,1, ..., min(m, n)}. We explore the structure of Twhen T(R E) g R E .
Linear Algebra and its Applications, 2012
The term rank of a matrix A over a semiring S is the least number of lines (rows or columns) needed to include all the nonzero entries in A. In this paper, we study linear operators that preserve term ranks of matrices over S. In particular, we show that a linear operator T on matrix space over S preserves term rank if and only if T preserves term ranks 1 and α(≥2) if and only if T preserves two consecutive term ranks in a restricted condition. Other characterizations of termrank preservers are also given.
Linear Algebra and its Applications, 2005
The column rank of an m by n matrix A over the nonnegative reals is the dimension over the nonnegative reals of the column space of A. We compare the column rank with the factor rank of matrices over the nonnegative reals. We also characterize the linear operators which preserve the column rank of matrices over the nonnegative reals.
Communications of the Korean Mathematical Society, 2007
The maximal column rank of an m × n matrix A over the ring of integers, is the maximal number of the columns of A that are weakly independent. We characterize the linear operators that preserve the maximal column ranks of integer matrices.
Linear Algebra and its Applications, 1997
This paper concerns a certain column rank of matrices over the nonnegative reals; we call it the spanning column rank. We have a characterization of spanning column rank 1 matrices. We also investigate the linear operators which preserve the spanning column ranks of matrices over the nonnegative part of a certain unique factorization domain in the reals. 0 Elsevier Science Inc.
2012
The term rank of a matrix A is the least number of lines (rows or columns) needed to include all the nonzero entries in A, and is a well-known upper bound for many standard and non-standard matrix ranks, and is one of the most important combinatorially. In this paper, we obtain a characterization of linear operators that preserve term ranks of matrices over antinegative semirings. That is, we show that a linear operator T on a matrix space over antinegative semirings preserves term rank if and only if T preserves any two term ranks k and l if and only if T strongly preserves any one term rank k. 2010 Mathematics Subject Classiflcation : 15A86, 15A03 and 15A04.
Linear Algebra and its Applications, 1990
Kyungpook mathematical journal, 2014
Let M(S) denote the set of all m×n matrices over a semiring S. For A ∈ M(S), zero-term rank of A is the minimal number of lines (rows or columns) needed to cover all zero entries in A. In [5], the authors obtained that a linear operator on M(S) preserves zero-term rank if and only if it preserves zero-term ranks 0 and 1. In this paper, we obtain new characterizations of linear operators on M(S) that preserve zero-term rank. Consequently we obtain that a linear operator on M(S) preserves zero-term rank if and only if it preserves two consecutive zero-term ranks k and k + 1, where 0 ≤ k ≤ min{m, n} − 1 if and only if it strongly preserves zero-term rank h, where 1 ≤ h ≤ min{m, n}.
Linear Algebra and its Applications, 2002
The zero-term rank of a matrix is the maximum number of zeros in any generalized diagonal. This article characterizes the linear operators that preserve zero-term rank of m × n matrices when the matrices have entries either in a field with at least mn + 2 elements or in a ring whose characteristic is not 2.
Linear Algebra and its Applications, 2003
A pair of m × n matrices (A, B) is said to be rank-sum-maximal if ρ(A + B) = ρ(A) + ρ(B), and rank-sum-minimal if ρ(A + B) = |ρ(A) − ρ(B)|. We characterize the linear operators preserving the set of rank-sum-maximal pairs over any field and the linear operators preserving the set of rank-sum-minimal pairs over any field except for {0, 1}. The linear preservers of the set of rank-sum-maximal pairs are characterized by using a result about rank preservers proposed by Li and Pierce [Amer. Math. Monthly 108 (2001) 591-605], and thereby the linear preservers of the set of rank-sum-minimal pairs are characterized. The paper can be viewed as a supplementary version of several related results.
Linear and Multilinear Algebra, 2001
Zero-term rank of a matrix is the minimum number of lines (rows or columns) needed to cover all the zero entries of the given matrix. We characterize the linear operators that preserve zero-term rank of the m × n real matrices. We also obtain combinatorial equivalent condition for the zero-term rank of a real matrix.
Linear Algebra and its Applications, 2015
The present paper introduces the semi-nonnegative rank for real matrices as an alternative to the usual rank. It is shown that the semi-nonnegative rank takes two possible values which are simple functions of the usual rank. Several characterizations of matrices for which the two ranks coincide are given.
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