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We describe explicitly the admissible families of minors for the totally nonnegative cells of real matrices, that is, the families of minors that produce nonempty cells in the cell decompositions of spaces of totally nonnegative matrices…

Algebraic Geometry · Mathematics 2009-05-25 K. R. Goodearl , S. Launois , T. H. Lenagan

A $k$-positive matrix is a matrix where all minors of order $k$ or less are positive. Computing all such minors to test for $k$-positivity is inefficient, as there are $\sum_{\ell=1}^k \binom{n}{\ell}^2$ of them in an $n\times n$ matrix.…

Combinatorics · Mathematics 2021-01-12 Anna Brosowsky , Sunita Chepuri , Alex Mason

A matrix is totally positive if all of its minors are positive. This notion of positivity coincides with the type A version of Lusztig's more general total positivity in reductive real-split algebraic groups. Since skew-symmetric matrices…

Combinatorics · Mathematics 2024-12-24 Jonathan Boretsky , Veronica Calvo Cortes , Yassine El Maazouz

We show that the maximal number of equal entries in a totally positive (resp. totally nonsingular) $n\textrm{-by-}n$ matrix is $\Theta(n^{4/3})$ (resp. $\Theta(n^{3/2}$)). Relationships with point-line incidences in the plane, Bruhat order…

Combinatorics · Mathematics 2013-09-18 Miriam Farber , Mitchell Faulk , Charles R. Johnson , Evan Marzion

A matrix is called totally negative (totally non-positive) of order $k$, if all its minors of size at most $k$ are negative (non-positive). The objective of this article is to provide several novel characterizations of total negativity via…

Rings and Algebras · Mathematics 2023-06-05 Projesh Nath Choudhury

A matrix is $k$-nonnegative if all its minors of size $k$ or less are nonnegative. We give a parametrized set of generators and relations for the semigroup of $k$-nonnegative $n\times n$ invertible matrices in two special cases: when $k =…

Combinatorics · Mathematics 2017-10-31 Sunita Chepuri , Neeraja Kulkarni , Joe Suk , Ewin Tang

It is known that for a totally positive (TP) matrix, the eigenvalues are positive and distinct and the eigenvector associated with the smallest eigenvalue is totally nonzero and has an alternating sign pattern. Here, a certain weakening of…

Combinatorics · Mathematics 2020-06-30 Charles R. Johnson , Roberto S. Costas-Santos , Boris Tadchiev

A matrix $A$ is called totally positive (or totally non-negative) of order $k$, denoted by TP_k (or TN_k), if all minors of size at most $k$ are positive (or non-negative). These matrices have featured in diverse areas in mathematics,…

Rings and Algebras · Mathematics 2021-10-14 Projesh Nath Choudhury

We prove that checking if a partial matrix is partial totally positive is co-NP-complete. This contrasts with checking a conventional matrix for total positivity, for which we provide a cubic time algorithm. Checking partial sign regularity…

Computational Complexity · Computer Science 2021-09-21 Daniel Carter , Charles Johnson

A $n$-by-$n$ matrix is called totally positive ($TP$) if all its minors are positive and $TP_k$ if all of its $k$-by-$k$ submatrices are $TP$. For an arbitrary totally positive matrix or $TP_k$ matrix, we investigate if the $r$th compound…

Combinatorics · Mathematics 2024-05-13 Shaun Fallat , Himanshu Gupta , Charles R. Johnson

The totally nonnegative part of a partial flag variety G/P is known to have a decomposition into semi-algebraic cells. We show that the closure of a cell is again a union of cells and give a combinatorial description of the closure…

Algebraic Geometry · Mathematics 2007-05-23 Konstanze Rietsch

A symmetric matrix $A$ is completely positive (CP) if there exists an entrywise nonnegative matrix $B$ such that $A = BB^T$. We characterize the interior of the CP cone. A semidefinite algorithm is proposed for checking interiors of the CP…

Optimization and Control · Mathematics 2014-01-08 Anwa Zhou , Jinyan Fan

A linear map between real symmetric matrix spaces is positive if all positive semidefinite matrices are mapped to positive semidefinite ones. A real symmetric matrix is separable if it can be written as a summation of Kronecker products of…

Optimization and Control · Mathematics 2016-03-29 Jiawang Nie , Xinzhen Zhang

A matrix $A$ is totally positive (or non-negative) of order $k$, denoted $TP_k$ (or $TN_k$), if all minors of size $\leq k$ are positive (or non-negative). It is well-known that such matrices are characterized by the variation diminishing…

Rings and Algebras · Mathematics 2021-08-24 Projesh Nath Choudhury , M. Rajesh Kannan , Apoorva Khare

Let $X = (x_1,\dots,x_n)$ be a vector of distinct positive integers. The $n \times n$ matrix $S = S(X) := (\gcd(x_i,x_j))_{i,j=1}^n$, where $\gcd(x_i,x_j)$ denotes the greatest common divisor of $x_i$ and $x_j$, is called the greatest…

Classical Analysis and ODEs · Mathematics 2019-01-08 Dominique Guillot , Jiaru Wu

A symmetric positive semi-definite matrix A is called completely positive if there exists a matrix B with nonnegative entries such that A=BB^T. If B is such a matrix with a minimal number p of columns, then p is called the cp-rank of A. In…

Rings and Algebras · Mathematics 2016-04-22 Jan Brandts , Michal Krizek

Many combinatorial matrices --- such as those of binomial coefficients, Stirling numbers of both kinds, and Lah numbers --- are known to be totally non-negative, meaning that all minors (determinants of square submatrices) are non-negative.…

Combinatorics · Mathematics 2019-06-06 David Galvin , Adrian Pacurar

A matrix is called totally nonnegative (TN) if all its minors are nonnegative, and totally positive (TP) if all its minors are positive. Multiplying a vector by a TN matrix does not increase the number of sign variations in the vector. In a…

Dynamical Systems · Mathematics 2018-10-09 Michael Margaliot , Eduardo D. Sontag

It is proven that a certain class of positive maps in the matrix algebra $M_n$ consists of optimal maps, i.e. maps from which one cannot subtract any completely positive map without loosing positivity. This class provides a generalization…

Quantum Physics · Physics 2023-04-12 Anindita Bera , Gniewomir Sarbicki , Dariusz Chruściński

Semipositive matrices (matrices that map at least one nonnegative vector to a positive vector) and minimally semipositive matrices (semipositive matrices whose no column-deleted submatrix is semipositive) are well studied in matrix theory.…

Functional Analysis · Mathematics 2018-06-20 Projesh Nath Choudhury , M. Rajesh Kannan , K. C. Sivakumar
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