Spectral theory
Builds on Operator theorySpectrum of an operatorEigenvalueEigenvector
Definition
Spectral theory is the part of operator theory that studies a linear operator on a Banach or Hilbert space through its spectrum . This is the set of complex numbers for which has no bounded inverse. It extends the theory of eigenvalues and eigenvectors of matrices. Its main topics are the location and the parts of the spectrum, the resolvent and functional calculus. It also contains the spectral theorems, which represent operators as multiplication operators.
Remarks
Example: for the diagonal operator on , spectral theory gives . Each is an eigenvalue with eigenvector the -th unit vector, and is in the spectrum without being an eigenvalue.
Non-example: the study of the solutions of a nonlinear equation such as is not spectral theory in this sense, since no linear operator and no spectrum are involved. Only its linearisation can be studied spectrally.
The word "spectrum" was used by David Hilbert before quantum mechanics. Only later did it turn out that the spectral lines of atoms correspond to differences of eigenvalues of a quantum Hamiltonian.
Reading path
To understand this page from the ground up, read these 5 pages in order. The foundations come first.
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- no evidence level
- Eigenvalue concept
- Eigenvector concept
- Operator theory concept
- Spectrum of an operator concept
- Spectral theory definition
Further reading
About this page
| Tag | RQ39XYAG36 |
|---|---|
| URI | m2://RQ39XYAG36 |
| Kind | definition |
| Writing | W0 stub |
| MSC | 47A10, 47B15, 47A60 |
| Defines | Spectral theory |
| Uses | Operator theory, Spectrum of an operator, Eigenvalue, Eigenvector |
| Changed | 2 November 2026 |
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