statement theorem
Spectral theorem for Hermitian matrices
Statement
Let be a Hermitian complex matrix. Then there are a unitary matrix and a real diagonal matrix with If is a real symmetric matrix, then can be chosen real, that is, orthogonal: .
Remarks
The diagonal entries of are the eigenvalues of , and the columns of are orthonormal eigenvectors. This is the matrix form of the spectral theorem. For example, with .
Explanations
L1 human
Every Hermitian matrix is diagonal after a unitary change of coordinates. The new coordinate axes are perpendicular eigenvectors. For real symmetric matrices, this is a rotation, possibly with a reflection, of the axes.
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What this needs
To read this node, read these 27 nodes in this order. The foundations come first, and the list ends with this node.
- no evidence level
- Identity matrix object
- Matrix definition
- Vector space definition
- Square matrix definition
- Transpose definition
- Inner product definition
- Linear combination definition
- Linear map definition
- Linear subspace definition
- Conjugate transpose definition
- Inner product space definition
- Orthogonal vectors definition
- Linear independence definition
- Endomorphism definition
- Linear span definition
- Hermitian matrix definition
- Unitary matrix definition
- Orthonormal family definition
- Adjoint of a linear map definition
- Eigenvalue definition
- Spanning set definition
- Self-adjoint operator definition
- Basis definition
- Eigenvector definition
- Orthonormal basis definition
- Spectral theorem statement
- Spectral theorem for Hermitian matrices statement
What depends on this
1 node uses this node, directly or through other nodes.
- Principal axis theorem 0PR5P9Z4KM
Sources
- Web https://en.wikipedia.org/wiki/Spectral_theorem, Hermitian maps and Hermitian matrices
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Used by
- Principal axis theorem 0PR5P9Z4KM