Created by M. Oki Orlandofrom the Noun Project

Positive Semidefinite

Definition (Positive Semidefinite)

A matrix QQ is positive semidefinite if:

  1. xTQx0, x0x^TQx\ge0, \ \forall x\not=0 or
  2. All eigenvalues of QQ are 0\ge0

Theorem (Positive Semidefinite has dim Eigenvectors)

Let A\mathbf{A} be a k×kk\times k matrix of real elements. If A\mathbf{A} is symmetric and positive semidefinite then it has kk eigenvalues (counting multiplicities) and corresponding kk mutually orthogonal eigenvectors.

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