Eigenvalues and eigenvectors
An eigenvector changes only by a scalar factor.
Key knowledge
For a linear operator T:V→V, a nonzero vector v is an eigenvector with eigenvalue λ when Tv=λv. The corresponding eigenspace consists of that equation's solutions, including zero.
Values and equations
Tv = λv, v ≠ 0
- T
- Linear operator
- v
- Nonzero eigenvector
- λ
- Eigenvalue in the scalar field
Conditions and scope
- λ belongs to the chosen scalar field.
- The zero vector is not an eigenvector; an operator need not have an eigenbasis.
Sources · 1
References
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Evidence and review
Definition 1.1 and Theorem 1.2: finite-dimensional self-adjoint eigenspace decomposition and real eigenvalues.
2026-10-10 · Eigenvector and eigenspace definitions.
Entry details
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- math-eigenvalues
- Revision
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