Diagonalizing Hermitian matrices with adjoint representation

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SUMMARY

This discussion focuses on the diagonalization of Hermitian matrices using the adjoint representation in the context of the special unitary group SU(N). The matrix M is expressed as M = UΛU†, where U diagonalizes M and Λ contains the eigenvalues. The transformation is analyzed through the adjoint action Ad of SU(N) on its algebra, leading to the relationship between the generators of the algebra and the diagonalization process. The discussion raises questions about the orthogonality of the matrix Ω, derived from the expansion of M, particularly when considering the presence of zero eigenvalues in the diagonalization.

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Suppose I have a hermitian ##N \times N## matrix ##M##. Let ##U \in SU(N)## be the matrix that diagonalizes ##M##: ##M = U\Lambda U^\dagger##, where ##\Lambda## is the matrix of eigenvalues of ##M##. This transformation can be considered as the adjoint action ##Ad## of ##SU(N)## over its algebra ##\mathfrak{su}(N)##, so if I consider the generators ##\{t_a\}## of ##\mathfrak{su}(N)##, I can write expansions: ##Ad(U)t_a = Ut_aU^\dagger = \sum_b\Omega_{ab}(U)t_b##, ##M = \sum_a m_at_a##, ##\Lambda = \sum_a \lambda_a t_a##, where ##\Omega_{ab} \in O(N^2-1)##, the orthogonal group, and the diagonalization can be written as ##M = \sum_{a,b}\lambda_b\Omega_{ab}t_a##.

Note that since ##\Lambda## is diagonal, the generators in the expansion ##\Lambda = \lambda_a t_a## must also be diagonal, i.e., they must span the Cartan subalgebra of ##\mathfrak{su}(N)##, meaning that some of the coefficients ##\lambda_a## must be zero. This means that some of the columns of each matrix ##\Omega## will not enter in the sum ##\sum_{a,b}\lambda_b\Omega_{ab}t_a##. My question is, if I look at ##M = \sum_{a,b}\lambda_b\Omega_{ab}t_a## as a change of coordinates, can I still consider ##\Omega## as an element of ##O(N^2-1)##? Clearly, if I write the elements of ##\Omega## that appear in the sum in matrix form, it will be a rectangular matrix, but I don't know if I can complete it with zeros until I get a square matrix, and if I can, I can't see what happens to orthogonality.

Thanks in advance
 
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It is difficult to follow you. I think it will be clearer in a coordinate free wording. Complementations with zeros (or ones) are usually a hidden embedding. So what is here to be embedded where? And why are some ##\lambda_a=0\,?##
 

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