Undergrad Proving Matrix Exponential Theorem: Unipotent & Nilpotent

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The discussion focuses on proving the theorem that states if A is an unipotent matrix, then exp(log A) = A, and if X is nilpotent, then log(exp X) = X. Participants suggest using a brute force method by inserting matrices into the series for exp and log. Alternatively, they recommend employing the Jordan Chevalley decomposition or analyzing eigenvalues and the characteristic polynomial. The relationship between unipotent and nilpotent matrices is emphasized, noting that log A is nilpotent for unipotent A, and exp(X) is unipotent for nilpotent X. Overall, the conversation seeks effective proof strategies for these matrix properties.
Josh1079
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Hi,

I'm kind of stuck with this theorem stating that: if A is an unipotent matrix, then exp(log A) = A and also if X is nilpotent then log(exp X) = X

Does anyone know any good approaches to prove this?

I know that for unipotent A, logA will be nilpotent and that for nilpotent X, exp(X) will be unipotent

Thanks!
 
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Josh1079 said:
Hi,

I'm kind of stuck with this theorem stating that: if A is an unipotent matrix, then exp(log A) = A and also if X is nilpotent then log(exp X) = X

Does anyone know any good approaches to prove this?

I know that for unipotent A, logA will be nilpotent and that for nilpotent X, exp(X) will be unipotent

Thanks!
This depends a bit on what is given, resp. how the functions are defined. You could use a brute force method and simply insert everything into the series of ##\exp## and ##\log##. Or you could attack the problem with the Jordan Chevalley decomposition and / or the eigenvalues, resp. the characteristic polynomial. I haven't done it, but those keywords come to mind.
 
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