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Hermitian matrix

In mathematics, a Hermitian matrix (or self-adjoint matrix) is a complex square matrix that is equal to its own conjugate transpose—that is, the element in the i-th row and j-th column is equal to the complex conjugate of the element in the j-th row and i-th column, for all indices i and j: A  Hermitian ⟺ a i j = a j i ¯ {displaystyle A{ ext{ Hermitian}}quad iff quad a_{ij}={overline {a_{ji}}}} A  Hermitian ⟺ A = A H {displaystyle A{ ext{ Hermitian}}quad iff quad A=A^{mathsf {H}}} In mathematics, a Hermitian matrix (or self-adjoint matrix) is a complex square matrix that is equal to its own conjugate transpose—that is, the element in the i-th row and j-th column is equal to the complex conjugate of the element in the j-th row and i-th column, for all indices i and j:

[ "Matrix (mathematics)", "Quantum mechanics", "Algebra", "Pure mathematics", "Hermitian function", "Lie product formula", "nonlinear matrix equation", "Sesquilinear form", "Golden–Thompson inequality" ]
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