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Definiteness of Matrix


Definition

Judge the definiteness of matrix M

We first build a new matrix: 0.5(M+M'). It should be symmetric. Then we judge whether this matrix is positive definite.


Positive definite:
Approach 1: Use leading principal minor (LPM) and principal minors (PM). Here LPM and PM are the determinants of associated matrix.
All LPM > 0, from k = 1 to n (n: dimension of the matrix M)
Or:
Approach 2: Use eigen values
Z'MZ > 0 for any Z is non-zero matrix.


Positive Semi-Definite:
All PM 0, from k = 1 to n
Or:
Z'MZ 0 for any Z is non-zero matrix.


Negative Definite:
All LPM > 0, k is the order of LPM. (k is odd, LPM < 0; k is even, LPM > 0)
Or:
Z'MZ < 0 for any Z is non-zero matrix.


Negative Semi-definite:
All PM 0, k is the order of PM. (k is odd, PM 0; k is even, PM 0)
Or:
Z'MZ 0 for any Z is non-zero matrix.


Note


Example