249 Eigenvalue
A scalar for which a nonzero vector is scaled by a linear transformation that is used to measure stretch along that special direction.
definition [d] (Eigenvalue) From Axler: a number \(\lambda \in F\) is called an eigenvalue of \(T\) if there exists \(v \in V\) such that \(v \neq 0\) and
- \(Tv = \lambda v\) .
where
- \(T\) is an operator on a vector space \(V\) over a field \(F\).
- \(v\) is a nonzero vector in \(V\).
- \(\lambda\) is the eigenvalue of \(T\).
definition [d] (Eigenvalue) From Cohen: when the eigenvalue equation
- \(Av = \lambda v\)
is satisfied, then \(v\) is an eigenvector and \(\lambda\) is its associated eigenvalue.
where
- \(A\) is a square matrix.
- \(v\) is a nonzero vector.
- \(\lambda\) is the associated eigenvalue.
249.1 Elementary Example
249.1.1 Simple
A diagonal \(2 \times 2\) matrix has eigenvalues equal to its diagonal entries.
\[ A = \begin{pmatrix} 2 & 0 \\ 0 & 3 \end{pmatrix} \]
\[ v = \begin{pmatrix} 1 \\ 0 \end{pmatrix},\quad Av = 2v \]
\[ \lambda = 2 \]
where
- \(\lambda = 2\) is an eigenvalue of \(A\).
- \(v\) is a corresponding eigenvector.
249.1.2 General
In three dimensions, a diagonal matrix has three eigenvalues on the diagonal.
\[ A = \begin{pmatrix} 2 & 0 & 0 \\ 0 & 3 & 0 \\ 0 & 0 & 5 \end{pmatrix} \]
\[ \lambda_{1} = 2,\quad \lambda_{2} = 3,\quad \lambda_{3} = 5 \]
\[ A e_{i} = \lambda_{i} e_{i} \]
where
- \(\lambda_{1}, \lambda_{2}, \lambda_{3}\) are the eigenvalues of \(A\).
- \(e_{1}, e_{2}, e_{3}\) are the standard basis eigenvectors.
249.2 References
- Axler, S. Linear Algebra Done Right. — \(\lambda \in F\) is an eigenvalue of \(T\) if \(Tv = \lambda v\) for some \(v \neq 0\).
- Cohen, M. X. Linear Algebra: Theory, Intuition, Code. Sincxpress BV, 2021. — eigenvalue equation \(Av = \lambda v\).
- Adjoint
- Basis
- Characteristic Polynomial
- Complex Conjugate
- Conjugate Symmetry
- Conjugate Transpose
- Determinant
- Diag
- Dual Space
- Eigendecomposition
- Eigenvalue
- Eigenvector
- Hermitian
- Hermitian Conjugate
- Homogeneity
- Homogeneous
- Inner Product
- Inner Product Space
- Kronecker Delta
- Linear Function
- Linear Map
- Linear Transformation
- Operator
- Orthonormal
- Orthonormal Set of Functions
- Projection Map
- Quadratic
- Standard Basis