A symmetric matrix is a square matrix that is equal to its transpose, meaning that for any matrix \( A \), if \( A = A^T \), then it is symmetric. This property leads to several important characteristics, such as real eigenvalues and orthogonal eigenvectors, which are crucial in various computational methods and applications.
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