2003Electronic Journal of Linear AlgebraOpen access

Recognition of hidden positive row diagonally dominant matrices

Walter D. Morris

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Abstract

A hidden positive row diagonally dominant (hprdd) matrix is a square matrix A forwhich there exist square matrices C and B so that AC = B and each diagonal entry of B and C is greater than the sum of the absolute values of the off-diagonal entries in its row. A linear program with 5n2 − 4n variables and 2n2 constraints is defined that takes as input an n × n matrix A and produces C and B satisfying the above conditions if and only if they exist. A 4×4 symmetric positive definite matrix that is not an hprdd matrix is presented.

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A hidden positive row diagonally dominant (hprdd) matrix is a square matrix A forwhich there exist square matrices C and B so that AC = B and each diagonal entry of B and C is greater than the sum of the absolute values of the off-diagonal entries in its row. A linear program with 5n2 − 4n variables and 2n2 constraints is defined that takes as input an n × n matrix A and produces C and B satisfying the above conditions if and only if they exist. A 4×4 symmetric positive definite matrix that is not an hprdd matrix is presented.

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Available abstract

A hidden positive row diagonally dominant (hprdd) matrix is a square matrix A forwhich there exist square matrices C and B so that AC = B and each diagonal entry of B and C is greater than the sum of the absolute values of the off-diagonal entries in its row. A linear program with 5n2 − 4n variables and 2n2 constraints is defined that takes as input an n × n matrix A and produces C and B satisfying the above conditions if and only if they exist. A 4×4 symmetric positive definite matrix that is not an hprdd matrix is presented.

Key concepts: Diagonally dominant matrix, Mathematics, Square matrix, Diagonal, Combinatorics, Matrix (chemical analysis), Diagonal matrix, Main diagonal

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