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Hermitian Matrix

akram qashou , 13 Years ago
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Aman Bansal

Last Activity: 13 Years ago

Dear Akram,

In mathematics, an Hermitian matrix (or self-adjoint matrix) is a square matrix with complex entries 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_{i,j} = \overline{a_{j,i}}\,.

If the conjugate transpose of a matrix A is denoted by A^\dagger, then the Hermitian property can be written concisely as

 A = A^\dagger\,.

Hermitian matrices can be understood as the complex extension of real symmetric matrices.

Hermitian matrices are named after Charles Hermite, who demonstrated in 1855 that matrices of this form share a property with real symmetric matrices of having eigenvalues always real.

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