251 Hermitian
A matrix equal to its conjugate transpose that is used to guarantee real eigenvalues.
Note: Also called self-adjoint. Also called Hermitian operator when stated for a linear transformation on an inner product space.
definition [d] (Hermitian = Hermitian Matrix) From Arfken: a matrix \(H\) must be square, and its elements must satisfy
- \((H^{\dagger})_{ij} = (H)_{ij}\) ,
which means
- \(h_{ji}^{*} = h_{ij}\) .
where
- \(H\) is a square matrix.
- \(H^{\dagger}\) is the Hermitian conjugate of \(H\).
- \(h_{ij}\) are the entries of \(H\).
- \(h_{ji}^{*}\) is the complex conjugate of the entry \(h_{ji}\).
definition [d] (Hermitian = Self-Adjoint Operator) From Kreyszig: a bounded linear operator \(T: H \rightarrow H\) on a Hilbert space \(H\) is said to be self-adjoint, written also Hermitian, if
- \(T^{*} = T\) .
where
- \(H\) is a Hilbert space.
- \(T\) is a bounded linear operator on \(H\).
- \(T^{*}\) is the adjoint of \(T\).
Note:
- Hall: what a mathematician calls the adjoint and writes \(A^{*}\), a physicist calls the Hermitian conjugate and writes \(A^{\dagger}\); physicists call self-adjoint operators Hermitian.
251.1 Elementary Example
251.1.1 Simple
A \(2 \times 2\) matrix is Hermitian when it equals its conjugate transpose.
\[ H = \begin{pmatrix} 1 & 1+i \\ 1-i & 2 \end{pmatrix} \]
\[ H^{\dagger} = \begin{pmatrix} 1 & 1+i \\ 1-i & 2 \end{pmatrix} = H \]
where
- \(H\) is the Hermitian matrix.
- \(H^{\dagger}\) is the Hermitian conjugate of \(H\).
- \(i\) is the imaginary unit with \(i^{2} = -1\).
251.1.2 General
A \(3 \times 3\) Hermitian matrix has real diagonal entries, and off-diagonal pairs are conjugates of each other.
\[ H = \begin{pmatrix} 2 & 1-i & 0 \\ 1+i & 3 & 4i \\ 0 & -4i & 1 \end{pmatrix} \]
\[ H^{\dagger} = H \]
\[ h_{ji}^{*} = h_{ij} \]
where
- \(h_{ij}\) are the entries of \(H\).
- \(h_{11}, h_{22}, h_{33}\) are real.
- \(T^{*} = T\) is the same condition for the operator represented by \(H\).
251.2 References
- Arfken, G. B., Weber, H. J., & Harris, F. E. Mathematical Methods for Physicists, 7th ed. Elsevier / Academic Press, 2013. — Hermitian matrix: \((H^{\dagger})_{ij} = (H)_{ij}\), equivalently \(h_{ji}^{*} = h_{ij}\).
- Kreyszig, E. Introductory Functional Analysis with Applications. Wiley, 1989. — self-adjoint or Hermitian operator: \(T^{*} = T\).
- Hall, B. C. Quantum Theory for Mathematicians. Springer, 2013. — adjoint \(A^{*}\) versus Hermitian conjugate \(A^{\dagger}\); self-adjoint called Hermitian in physics.
- 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