@Marki Ok so let's do something quick and fun!
yayy
\[\Large \det|e^{A}| = e^{tr(A)}\]
A is a matrix =P
haha
rt constant ?
Ah, nope that's the trace, which is just the sum of the diagonal on the matrix.
oh
Ok so I guess let's show that this is true XD I guess I should say words haha
na its ok im trying something
im used to e^tA for t variable :)
hehe
\( \large e^A=I +\sum _{m=0}^{\infty}\frac{k^m }{k!}\)
hmm
sound something wrong with this definition xD
is it true like this ?
Almost, just use the power series like replace x with the matrix A
oh got it
lol sorry k was a typo xD
\(\Huge e^A=I +\sum _{k=1}^{\infty}\frac{A^k }{k!}\)
im too sleeping :( but have class at 8 AM :( means 1 and 40 mnts left :(
Wnat me to give you more hints cause you're tired so we can get to the answer quicker?
well so far its diagonal , right ?
Yeah, we're going to assume that it's diagonalizable
hehe , well it is :) since we are assuming det not zero :P
\(det(A)=(1+\sum _{k=1 }^{\infty}\frac{A^k }{k!})^n \) for nxn matrix
eh sounds complicated , show what ur got and we have \(\large e^{tr(A)}= 1+\sum _{k=1 }^{\infty}\frac{tr(A)^k }{k!} \) hmmm
Well I wrote it as: \[\Large e^A =\sum_{n=0}^\infty \frac{1}{n!}A^n\] and since A is diagonalizable, I wrote it as \[\Large A = P^{-1}DP\] So if we plug it in we have: \[\Large e^A =\sum_{n=0}^\infty \frac{1}{n!}(P^{-1}DP)^n = P^{-1} \left( \sum_{n=0}^\infty \frac{1}{n!}D^n \right) P\]
Since 1/n! is a scalar and exponentiating a diagonal matrix is the same as raising every element to that power, we are really just doing e^x on each of the eigenvalues along the diagonal in the middle, so we can write it as e^D to mean that. \[\Large \det |P^{-1}e^D P| = e^{tr(P^{-1}DP)}\] So now maybe it's better? Its yours now good luck. =P
:O
that was nice , thanks for sharing !
Yeah, now if you can find a use for it, that would be awesome haha.
:O i'll show u some other time what in my mind is solving some ODE
Yeah I had heard of that but not really sure how to use this. But this equation is awesome cause the side with the trace makes it easy, I love it.
I want to make a theorem, "All the best formulas have e^x in them" lol
lol
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