1990SIAM Journal on Matrix Analysis and ApplicationsRequires access

Positive Semidefinite Pattern Decompositions

Daniel Hershkowitz

Open publisher page 1 citations

Abstract

It is shown that every positive semidefinite matrix in a block tridiagonal form with square diagonal blocks can be written as a sum of positive semidefinite matrices with complementary off diagonal block patterns. A similar result holds for completely positive matrices and, under a certain condition, for doubly nonnegative matrices.

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What this paper is about

It is shown that every positive semidefinite matrix in a block tridiagonal form with square diagonal blocks can be written as a sum of positive semidefinite matrices with complementary off diagonal block patterns. A similar result holds for completely positive matrices and, under a certain condition, for doubly nonnegative matrices.

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Available abstract

It is shown that every positive semidefinite matrix in a block tridiagonal form with square diagonal blocks can be written as a sum of positive semidefinite matrices with complementary off diagonal block patterns. A similar result holds for completely positive matrices and, under a certain condition, for doubly nonnegative matrices.

Key concepts: Tridiagonal matrix, Mathematics, Positive-definite matrix, Diagonal, Block matrix, Semidefinite programming, Combinatorics, Block (permutation group theory)

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