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Bogoliubov transformation
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=== Diagonalizing a quadratic Hamiltonian using matrix description === Bogoliubov transformation lets us diagonalize a quadratic Hamiltonian :<math> \hat{H} = \begin{pmatrix} a^\dagger & b^\dagger \end{pmatrix} H \begin{pmatrix} a \\ b \end{pmatrix} </math> by just diagonalizing the matrix <math>\Gamma_\pm H</math>. In the notations above, it is important to distinguish the operator <math>\hat{H}</math> and the numeric matrix <math>H</math>. This fact can be seen by rewriting <math>\hat{H}</math> as :<math> \hat{H} = \begin{pmatrix} \alpha^\dagger & \beta^\dagger \end{pmatrix} \Gamma_\pm U (\Gamma_\pm H) U^{-1} \begin{pmatrix} \alpha \\ \beta \end{pmatrix} </math> and <math>\Gamma_\pm U (\Gamma_\pm H) U^{-1}=D</math> if and only if <math>U</math> diagonalizes <math>\Gamma_\pm H</math>, i.e. <math>U (\Gamma_\pm H) U^{-1} = \Gamma_\pm D</math>. Useful properties of Bogoliubov transformations are listed below. {| class="wikitable" |- ! !! Boson !! Fermion |- | Transformation matrix || <math>U=\begin{pmatrix}u & v\\v^* & u^*\end{pmatrix}</math> || <math>U=\begin{pmatrix}u & v\\-v^* & u^*\end{pmatrix}</math> |- | Inverse transformation matrix || <math>U^{-1} = \begin{pmatrix}u^* & -v\\-v^* & u\end{pmatrix}</math> || <math>U^{-1}=\begin{pmatrix}u^* & -v\\v^* & u\end{pmatrix}</math> |- | Gamma || <math>\Gamma = \begin{pmatrix}1 & 0\\0 & -1\end{pmatrix}</math> || <math>\Gamma = \begin{pmatrix}1 & 0\\0 & 1\end{pmatrix}</math> |- | Diagonalization || <math>U(\Gamma H) U^{-1} = \Gamma D </math> || <math>U H U^{-1} = D </math> |}
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