An operator is said to be self-adjoint if it is equal to its own adjoint, meaning that the inner product of the operator applied to any two vectors is the same as the inner product of the first vector and the operator applied to the second. Self-adjoint operators are significant because they have real eigenvalues and their eigenvectors corresponding to distinct eigenvalues are orthogonal, which is important for understanding properties of linear transformations.
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