Self-adjoint operator
Definition
Let be a finite-dimensional inner product space over or , and let be an endomorphism. The map is self-adjoint when , where is the adjoint of . Equivalently, for all .
Remarks
In an orthonormal basis, is self-adjoint if and only if its matrix is symmetric (over ) or Hermitian (over ). Orthogonal projections are self-adjoint. The eigenvalues of a self-adjoint map are real, see the reality of the eigenvalues. Self-adjoint maps are the subject of the spectral theorem.
Explanations
L1 human
A self-adjoint map can move freely from one side of the inner product to the other. For real matrices, these are the symmetric matrices. They model observable quantities in quantum mechanics, because their eigenvalues are real.
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- edge not_instance_of in: one non-example that fails one clause (0 of 1)
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To read this node, read these 7 nodes in this order. The foundations come first, and the list ends with this node.
- no evidence level
- Vector space definition
- Inner product definition
- Linear map definition
- Inner product space definition
- Endomorphism definition
- Adjoint of a linear map definition
- Self-adjoint operator definition
What depends on this
5 nodes use this node, directly or through other nodes.
- Spectral theorem 06J4PXRG22
- Eigenvalues of a self-adjoint operator are real 0C4NT4GT3X
- Spectral theorem for Hermitian matrices 0DGZBQWZWN
- Eigenspaces of a self-adjoint operator are orthogonal 0JHGAV9H25
- Principal axis theorem 0PR5P9Z4KM
Sources
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Used by
- Spectral theorem 06J4PXRG22
- Eigenvalues of a self-adjoint operator are real 0C4NT4GT3X
- Eigenspaces of a self-adjoint operator are orthogonal 0JHGAV9H25