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> [!proposition] Proposition. ([[eigenvalues of adjoint]])
> Let $T$ be a [[linear operator]] on a [[finite-dimensional vector spaces MOC|finite-dimensional]] [[vector space]] $V$ over $\mathbb{R}$ or $\mathbb{C}$. [[Gram-Schmidt Procedure|Fix an]] [[orthonormal basis]] of $V$ and let $A$ denote the [[matrix]] of $T$ with respect to it. Then:
> 1. The [[eigenvalue]]s of $T^{\dagger}$ are the [[complex conjugate]]s of the [[eigenvalue]]s of $T$;
> 2. The [[eigenvalue]]s of $A'$ are the [[complex conjugate]]s of the [[eigenvalue]]s of $A$.
> [!proof]- Proof. ([[eigenvalues of adjoint]])
> $T^{\dagger}$ and $A$ will have the same [[eigenvalue]]s, so it suffices to compute the [[eigenvalue]]s of $A$ [[eigenvalue iff solves characteristic polynomial|using its characteristic polynomial]]. Recalling that [[determinant of matrix equals determinant of transpose]] we have $\begin{align}
\det (A - \lambda I)= & \det \big( (A-\lambda I)'\big) \\
= & \det (A' - \lambda I') \\
= & \det (A' - \lambda I),
\end{align}$
as required.
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#### References
> [!backlink]
> ```dataview
> TABLE rows.file.link as "Further Reading"
> FROM [[]]
> FLATTEN file.tags as Tag
> WHERE Tag = "#definition" OR Tag = "#theorem" OR Tag = "#MOC" OR Tag = "#proposition" OR Tag = "#axiom"
> GROUP BY Tag
> ```
> [!frontlink]
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> TABLE rows.file.link as "Further Reading"
> FROM outgoing([[]])
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> ```