linear algebra — are eigenvectors orthogonal? 

Are eigenvectors always orthogonal? The short answer is no. Eigenvectors of an arbitrary (but not degenerate) square real matrix A are sure to be independent (if there are no repeated eigenvalues), however they are not necessarily orthogonal.

Are eigenvectors of a symmetric matrix always orthogonal? The short answer is yes. Gilbert Strang gives the following definition: A real matrix has perpendicular eigenvectors if and only if A^TA=AA^T. It follows that eigenvectors of a symmetric real matrix A (i.e., A=A^T) are perpendicular. Another nice property of symmetric matrices is that their eigenvalues are real.

Reference
Gilbert Strang, "Introduction to Linear Algebra, 4th Edition", Wellesley-Cambridge Press, 2009.


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