1968
DOI: 10.1016/0021-8693(68)90093-8
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Products of positive definite matrices. III

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Cited by 27 publications
(17 citation statements)
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“…If A 1 , A 2 , A 3 0 and the product A 1 A 2 A 3 is symmetric, then it is positive definite. • Result of C. Ballantine [25]. Except when A = −λI n with λ > 0 and n even, any square matrix with positive determinant can be written as the product of four positive definite matrices.…”
Section: Closedness Under Multiplicationmentioning
confidence: 99%
“…If A 1 , A 2 , A 3 0 and the product A 1 A 2 A 3 is symmetric, then it is positive definite. • Result of C. Ballantine [25]. Except when A = −λI n with λ > 0 and n even, any square matrix with positive determinant can be written as the product of four positive definite matrices.…”
Section: Closedness Under Multiplicationmentioning
confidence: 99%
“…Note that this is smaller than the generating number 5 (4 for nonscalar matrices) obtained from the positive definite matrices [2,11] and that the product of two positive definite matrices is not, in general, a P -matrix.…”
Section: P -Matrix Factorizationsmentioning
confidence: 83%
“…Then, Y(x g ) is a symmetric positive definite matrix for all x g ∈ S. It has been shown in the proof of Theorem 1 that under Assumption 1, J(x g ) is a symmetric negative definite matrix for all x g ∈ S. It follows that −Z(x g ) is the product of two symmetric positive definite matrices, Y(x g ) and −J(x g ). By Theorem 2 in Ballantine (1968), all the eigenvalues of −Z(x g ) are real and positive for all x g ∈ S. Thus, all the eigenvalues of Z(x * g ) are real and negative, and local asymptotic stability of the Nash equilibrium is established.…”
Section: Lemma 1 B(x G ) Is Negative Semidefinite For All X G ∈ Smentioning
confidence: 89%