![SOLVED: use Theorem 7.3 .4 to classify the matrix as positive definite, negative definite, or indefinite. (a) A=[ 4 1 -1 1 2 1 -1 1 2 ] (b) A=[ -4 -1 1 -1 -2 -1 1 -1 -2 ] SOLVED: use Theorem 7.3 .4 to classify the matrix as positive definite, negative definite, or indefinite. (a) A=[ 4 1 -1 1 2 1 -1 1 2 ] (b) A=[ -4 -1 1 -1 -2 -1 1 -1 -2 ]](https://cdn.numerade.com/project-universal/previews/cdaf73df-b299-43ee-9c4f-f3d49cc0240f.gif)
SOLVED: use Theorem 7.3 .4 to classify the matrix as positive definite, negative definite, or indefinite. (a) A=[ 4 1 -1 1 2 1 -1 1 2 ] (b) A=[ -4 -1 1 -1 -2 -1 1 -1 -2 ]
![linear algebra - Cholesky decomposition for symmetric positive semi-definite matrices - Mathematics Stack Exchange linear algebra - Cholesky decomposition for symmetric positive semi-definite matrices - Mathematics Stack Exchange](https://i.stack.imgur.com/v9fhN.png)
linear algebra - Cholesky decomposition for symmetric positive semi-definite matrices - Mathematics Stack Exchange
![Quiz12 - Positive definite matrices and the singular value decomposition - Quiz 1, Abstract Algebra - Studocu Quiz12 - Positive definite matrices and the singular value decomposition - Quiz 1, Abstract Algebra - Studocu](https://d20ohkaloyme4g.cloudfront.net/img/document_thumbnails/2565041b2f6e70ca06aea2fd2e8f1df2/thumb_300_388.png)