Hermitian matrices are square matrices that are equal to their own conjugate transpose. This means that for a matrix A, it is Hermitian if A = A* where A* denotes the conjugate transpose of A. They have important properties such as real eigenvalues and orthogonal eigenvectors, making them particularly useful in various applications, including quantum mechanics and linear algebra.
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