2021arXiv (Cornell University)Open access

Positivity of Hadamard powers of tridiagonal matrices

Veer Singh Panwar, A. Satyanarayana Reddy

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Abstract

We characterize all tridiagonal infinitely divisible matrices. It is well known that if $A$ is an entrywise nonnegative, positive semidefinite matrix of order $n$, then $A^{\circ r} = [a_{ij}^{r}]$ is positive semidefinite when $r \geq n-2$ or $r$ is a positive integer. We prove that if $A$ is any positive definite (semidefinite) tridiagonal matrix, then $A^{\circ r}$ is positive definite (semidefinite) for $r>1.$ We give similar results for a special family of Pentadiagonal matrices.

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We characterize all tridiagonal infinitely divisible matrices. It is well known that if $A$ is an entrywise nonnegative, positive semidefinite matrix of order $n$, then $A^{\circ r} = [a_{ij}^{r}]$ is positive semidefinite when $r \geq n-2$ or $r$ is a positive integer. We prove that if $A$ is any positive definite (semidefinite) tridiagonal matrix, then $A^{\circ r}$ is positive definite (semidefinite) for $r>1.$ We give similar results for a special family of Pentadiagonal matrices.

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Available abstract

We characterize all tridiagonal infinitely divisible matrices. It is well known that if $A$ is an entrywise nonnegative, positive semidefinite matrix of order $n$, then $A^{\circ r} = [a_{ij}^{r}]$ is positive semidefinite when $r \geq n-2$ or $r$ is a positive integer. We prove that if $A$ is any positive definite (semidefinite) tridiagonal matrix, then $A^{\circ r}$ is positive definite (semidefinite) for $r>1.$ We give similar results for a special family of Pentadiagonal matrices.

Key concepts: Tridiagonal matrix, Positive-definite matrix, Mathematics, Integer (computer science), Semidefinite programming, Matrix (chemical analysis), Combinatorics, Hadamard transform

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