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# A matrix is orthogonally diagonalizable if and only if it is symmetric.Put content here**Theorem.** A real matrix $A$ is orthogonally diagonalizable if and only if it is symmetric. ⏎ **Proof ($\Leftarrow$):** Follows from the Spectral Theorem -- every real symmetric matrix has an orthonormal basis of eigenvectors. ⏎ **Proof ($\Rightarrow$):** If $A = PDP^T$ with $P$ orthogonal and $D$ diagonal, then: $$A^T = (PDP^T)^T = PD^T P^T = PDP^T = A$$ (since $D^T = D$ for a diagonal matrix). ⏎ This theorem establishes a fundamental connection: among all real matrices, the symmetric ones are exactly those that can be diagonalized by an orthogonal change of basis. # Parents * Symmetric matrices
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