MHB Is this operator diagonalizable?

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The discussion focuses on the properties of skew-Hermitian matrices and the bilinear form defined on them. It establishes that the bilinear form B is real-valued, symmetric, and positive definite. The operator ad_A, defined as ad_A(X) = AX – XA, is shown to be diagonalizable, suggesting the existence of a basis of M consisting of its eigenvectors. The matrix A provided is used to compute the eigenvalues of the operator ad_A. The thread emphasizes the importance of understanding these properties in the context of linear algebra and matrix theory.
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Let M be the space of all 2 × 2 complex matrices,
satisfying 〖(X)bar〗^t = -X (skew-hermitian).
Consider M as a vector space over R.
Define a bilinear form B on M by B(X,Y) = -tr(XY)

(1) Show that B takes real values, is symmetric and positive definite.

(2) For any A ∈ M , define the operator ad_A: M → M by ad_A(X) = AX – XA.
Show that operator ad_A is diagonalizable.

(3) Let the matrix
A =
( i 1)
(-1 i) .
Compute the eigenvalues of operator ad_A.(For part (2), Maybe we should show there is a basis of M consisting of eigenvectors of ad_A?)Thanks.
 
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Hint: If $X,Y\in M$ then,

$X=\begin{bmatrix}{x_1i}&{x_2+x_3i}\\{-x_2+x_3i}&{x_4i}\end{bmatrix},\;Y=\begin{bmatrix}{y_1i}&{y_2+y_3i}\\{-y_2+y_3i}&{y_4i}\end{bmatrix}\quad(x_i,y_j\in \mathbb{R})$.

Now, verify: $B(X,Y)=-\mbox{trace }(XY)=\ldots=x_1y_1+x_2y_2+x_3y_3+x_4y_4$
 
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