Deficiency indices
Builds on Hilbert spaceSymmetric operatorAdjoint of an unbounded operatorKernel of a linear mapImage of a linear mapHilbert dimensionEssentially self-adjoint operator
Definition
Let be a complex Hilbert space, and let be a symmetric operator on with dense domain and adjoint . The deficiency subspaces of are the closed subspaces of , where denotes the kernel. The deficiency indices of are the Hilbert dimensions and , which are cardinal numbers, possibly infinite.
Remarks
Equivalently, is the orthogonal complement of the image of . Some authors exchange the names of and ; the pair is then reversed. The operator is essentially self-adjoint if and only if . Example: on , let on the smooth functions with compact support in . Then is on the Sobolev space , and means . So is spanned by and by , and . Example with unequal indices: on , the same construction gives spanned by , while is not square integrable, so . Non-example: the deficiency indices are not defined for an operator that is not densely defined, because then the adjoint is not a well-defined operator.
Reading path
To understand this page from the ground up, read these 8 pages in order. The foundations come first.
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- no evidence level
- Adjoint of an unbounded operator concept
- Essentially self-adjoint operator concept
- Hilbert dimension concept
- Hilbert space concept
- Image of a linear map concept
- Kernel of a linear map concept
- Symmetric operator concept
- Deficiency indices definition
Further reading
About this page
| Tag | CSMF0WVH67 |
|---|---|
| URI | m2://CSMF0WVH67 |
| Kind | definition |
| Writing | W0 stub |
| MSC | 47B25, 47A20 |
| Defines | Deficiency indices |
| Uses | Hilbert space, Symmetric operator, Adjoint of an unbounded operator, Kernel of a linear map, Image of a linear map, Hilbert dimension, Essentially self-adjoint operator |
| Changed | 2 November 2026 |
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