A Hermitian matrix is a square matrix that is equal to its own conjugate transpose, meaning that for a matrix A, the condition A = A^* must hold, where A^* denotes the conjugate transpose of A. This property implies that the entries of the matrix satisfy a specific symmetry condition, which leads to several important characteristics, especially in relation to eigenvalues and eigenvectors.
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