Why does one assume that the eigenbasis for a quadratic form is orthogonal, hence orthogonal diagonalization. I understand that for hermitian and unitary maps one can show by spectral theorem an orthogonal basis of eigenvectors exists, however does this also hold true for quadratic forms? My question is basically how does one show that a quadratic form has an orthogonal basis that furthermore also leads to a diagonal matrix? Thanks in advance for any insight
2026-03-26 04:49:32.1774500572
Quadratic Forms Orthogonal Diagonalization Existence
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For a symmetric matrix the eigenvectors associated with distinct eigenvalues are orthogonal.
The eigenvectors associated to the same eigenvalues are orthogonalized by the Gram-Schmidt process.
Thus for a quadratic form we always have an orthogonal set of eigenvectors.