Spectrum of positive (semi)definite matrices #
This file proves that eigenvalues of positive (semi)definite matrices are (nonnegative) positive.
Main definitions #
Matrix.toInnerProductSpace: the pre-inner product space onn โ ๐induced by a positive semi-definite matrixM, and is given byโชx, yโซ = xแดดMy.
Positive semidefinite matrices #
A Hermitian matrix is positive semi-definite if and only if its eigenvalues are non-negative.
Alias of the reverse direction of Matrix.IsHermitian.posSemidef_iff_eigenvalues_nonneg.
A Hermitian matrix is positive semi-definite if and only if its eigenvalues are non-negative.
The eigenvalues of a positive semi-definite matrix are non-negative
Positive definite matrices #
A Hermitian matrix is positive-definite if and only if its eigenvalues are positive.
The eigenvalues of a positive definite matrix are positive.
A positive semi-definite matrix M induces a norm โxโ = sqrt (re xแดดMx).
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A positive definite matrix M induces a norm โxโ = sqrt (re xแดดMx).
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A positive semi-definite matrix M induces an inner product โชx, yโซ = xแดดMy.
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Alias of Matrix.toNormedAddCommGroup.
A positive definite matrix M induces a norm โxโ = sqrt (re xแดดMx).
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Alias of Matrix.toInnerProductSpace.
A positive semi-definite matrix M induces an inner product โชx, yโซ = xแดดMy.