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 β πinduced by a positive semi-definite matrixM, and is given byβͺx, yβ« = xα΄΄My.
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 βxβ = sqrt (re xα΄΄Mx).
Instances For
A positive definite matrix M induces a norm βxβ = sqrt (re xα΄΄Mx).
Equations
Instances For
A positive semi-definite matrix M induces an inner product βͺx, yβ« = xα΄΄My.
Equations
Instances For
Alias of Matrix.toNormedAddCommGroup.
A positive definite matrix M induces a norm βxβ = sqrt (re xα΄΄Mx).
Instances For
Alias of Matrix.toInnerProductSpace.
A positive semi-definite matrix M induces an inner product βͺx, yβ« = xα΄΄My.