A symmetric matrix is a square matrix that is equal to its transpose, meaning the element at row i, column j is the same as the element at row j, column i. This property makes symmetric matrices particularly important in linear algebra, as they often have real eigenvalues and orthogonal eigenvectors, simplifying many mathematical computations.