A symmetric matrix is a square matrix that is equal to its transpose, meaning that the element in the i-th row and j-th column is the same as the element in the j-th row and i-th column for all indices. This property ensures that symmetric matrices have real eigenvalues and their eigenvectors corresponding to distinct eigenvalues are orthogonal, which plays a crucial role in simplifying many problems in linear algebra and its applications.
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