Definite matrix: Difference between revisions

Content deleted Content added
No edit summary
More properties
Line 1:
The '''positive definite''' [[matrix|matrices]] are in several senses analogous to the positive [[real number]]s. An ''n'' × ''n'' [[Hermitian]] [[matrix]] ''M'' is said to be '''positive definite''' if it has one (and therefore all) of the following 6 equivalent properties:
 
'''(1)''' For all non-zero vectors ''z'' in '''C'''<sup>''n''</sup> we have
:<i>xz</i><sup>*</sup> <i>M xz</i> > 0.
 
Here we view ''z'' as a column vector with ''n'' [[complex number|complex]] entries and ''z''<sup>*</sup> as the complex
for all non-zero vectors ''x'' in
'''R'''<sup>''n''</sup> (or, equivalently, for all non-zero ''x'' in '''C'''<sup>''n''</sup>). Here, we view ''x'' as a column vector and ''x''<sup>*</sup> as the complex
conjugate of its transpose.
 
for'''(2)''' For all non-zero vectors ''x'' in
Equivalently, a matrix ''M'' is positive definite if
'''R'''<sup>''n''</sup> we have
:''x''<sup>T</sup> ''M x'' > 0
(where ''x''<sup>T</sup> denotes the transpose of the column vector ''x'').
 
:<''x'(3)','' For all non-zero vectors ''yu''> =in ''x'Z'''<sup>*''n''</sup> ''M''(all ''y''components being [[integer]]s), we have
:''u''<sup>T</sup> ''M u'' > 0.
 
'''(4)''' All [[eigenvectors|eigenvalues]] of ''M'' are positive.
 
'''(5)''' The form
:<''x'', ''y''> = ''x''<sup>*</sup> ''M'' ''y''
defines an [[inner product space|inner product]] on
'''RC'''<sup>''n''</sup>. (or,In equivalentlyfact, every inner product on '''C'''<sup>''n''</sup>). arises in this fashion from a Hermitian matrix.)
 
'''(6)''' All the following matrices have positive [[determinant]]: the upper left 1-by-1 corner of ''M'', the upper left 2-by-2 corner of ''M'', the upper left 3-by-3 corner of ''M'', ..., and ''M'' itself.
 
== Further properties ==
 
Every positive definite matrix is invertible and its inverse is also positive definite. If ''M'' is positive definite and ''r'' > 0 is a real number, then ''rM'' is positive definite. If ''M'' and ''N'' are positive definite, then ''M + N'' is also positive definite, and if ''MN'' = ''NM'', then ''MN'' is also positive definite. To every positive definite matrix ''M'', there exists precisely one [[square root]]: a positive definite matrix ''N'' with ''N''<sup>2</sup> = ''M''.
 
 
== Negative definite, semidefinite and indefinite matrices ==
 
The Hermitian matrix ''M'' is said to be '''negative definite''' if