Orthogonal eigenvectors are eigenvectors of a linear operator or matrix that are perpendicular to each other in the vector space, meaning their dot product is zero. This concept is crucial in understanding how certain matrices can be simplified or diagonalized, especially in relation to self-adjoint operators and the spectral theorem, which leverage the properties of orthogonal eigenvectors for efficient analysis and computations.
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