Linear and multilinear algebra; matrix theory Definition
Positive semidefinite matrix
Builds on Hermitian matrix
Definition
Let be an complex Hermitian matrix. The matrix is positive semidefinite when For a real symmetric , the condition is for all .
Remarks
is positive semidefinite if and only if all its eigenvalues are nonnegative. Each positive definite matrix is positive semidefinite. The matrix is positive semidefinite but not positive definite. The notation is common.
Reading path
To understand this page from the ground up, read these 6 pages in order. The foundations come first.
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- Matrix definition
- Square matrix definition
- Transpose definition
- Conjugate transpose definition
- Hermitian matrix definition
- Positive semidefinite matrix definition
Where this leads
15 pages build on this one.
- Singular value decomposition
- Gram matrices are positive semidefinite
- Polar decomposition
- Singular value
- Square root of a positive semidefinite matrix
- Nevanlinna–Pick interpolation
- Riesz space
- Laplacian matrix
- Eckart–Young theorem
- Generalized method of moments
- Bidiagonalization
- Positive-definite function
- Schmidt's singular value decomposition of a kernel
- Positive cone
- Ordered vector space
Further reading
- Web https://en.wikipedia.org/wiki/Definite_matrix, Definitions
About this page
| Tag | 0880F9EQCP |
|---|---|
| URI | m2://0880F9EQCP |
| Kind | definition |
| Writing | W1 stated |
| MSC | 15B57, 15A63 |
| Defines | Positive semidefinite matrix |
| Uses | Hermitian matrix |
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