Relationship between determinant and trace

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The discussion centers on the relationship between the determinant and trace of matrices, specifically the equation det(exp(M)) = exp(tr(M)). The original poster seeks a proof applicable to non-diagonalizable matrices, noting a correction regarding the logarithm in the equation. The conversation highlights the importance of using Schur decomposition, where any matrix can be expressed in a form that facilitates the calculation of determinants and traces. It is also mentioned that relying on logarithmic forms can be problematic since not all matrices have logarithms. The key takeaway is the emphasis on using appropriate matrix decompositions for accurate results in matrix analysis.
krishna mohan
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Hi...

We have all seen the equation det(M)=exp(tr(lnM)). I was taught the proof using diagonalisation. I was wondering if there was a proof for non-diagonalisable matrices also.
 
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Theorem 2.11, page 36. (And I don't think that logarithm is supposed to be there).
 
Thanks...:smile: ...the way I have written it, the logarithm is supposed to be there...
 
Ah, I see it now. The left-hand side in the book is det(exp(M)), not det(M).
 
The book by Hall (linked above) uses the decomposition into diagonalisable + nilpotent which is very important in Lie group theory. As slightly more direct approach is to use http://en.wikipedia.org/wiki/Jordan_normal_form" .

Schur decomposition: an arbitrary matrix M decomposes as QUQ-1 where U is upper-triangular and (therefore) has the eigenvalues of M on its diagonal.

det(exp(M)) = det(exp(QUQ-1)) = det(Q exp(U) Q-1) = det(exp(U)) = ∏i exp(λi) = exp(∑λi)

exp(tr(M)) = exp(tr(QMQ-1)) = exp(tr(MQ-1Q)) = exp(tr(M)) = exp(∑λi)

btw, in general it is best to not use the logarithm form - because not all matrices will possesses a logarithm.
 
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