Question regarding the exponential of a matrix

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The discussion revolves around the calculation of the matrix exponential using Taylor expansion and the challenges faced with the top-right element of the resulting matrix. Participants highlight the issue of negative indices when summing terms, particularly when n=0, and the implications of cancelling terms incorrectly. The conversation suggests using the binomial formula for easier calculation and emphasizes that the zeroth term should be omitted to avoid confusion. Ultimately, the consensus is that the matrix can be expressed in a simpler form, allowing for the correct computation of the exponential without encountering problematic terms. The discussion concludes with agreement on the validity of the approach and the importance of handling terms correctly.
ChrisVer
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Homework Statement
Show that you can write [itex]e^{\textbf{A}t} = f_1(t) \textbf{1} + f_2(t) \textbf{A} [/itex] and determine [itex]f_{1},~f_{2}[/itex] if [itex]\textbf{A}= \begin{pmatrix} a & b \\ 0 & a \end{pmatrix}[/itex]
Relevant Equations
[itex]e^{x} = \sum_{n=0}^{\infty} \frac{x^n}{n!} [/itex]
Hi, I think this is a nitpicking question, but oh well let me hear your inputs.
Actually I tried to solve this question straightforwardly, by Taylor expanding the exponential and showing that:
\textbf{A}^n = \begin{pmatrix} a^n & nba^{n-1} \\ 0 & a^n \end{pmatrix}
i.e.
e^{\textbf{A}t} = \sum_{n=0}^{\infty} \frac{\textbf{A}^n t^n}{n!}= \begin{pmatrix} \sum_{n=0}^{\infty} \frac{a^nt^n}{n!} & bt \sum_{n=0}^{\infty} \frac{na^{n-1} t^{n-1}}{n!} \\ 0 & \sum_{n=0}^{\infty} \frac{a^nt^n}{n!} \end{pmatrix}
(forget t for now)

The problem I faced was related to the top-right element of the matrix when summed. As the exponential gets expanded, it gives me a sum running from n=0 to infinity. However that term results to negative values of n when n=0:
\sum_{n=0}^{\infty} b n \frac{a^{n-1}}{n!} = b \sum_{n=0}^{\infty} \frac{a^{n-1}}{(n-1)!}
Which doesn't make much sense. However, I don't know how I could emit the term with n=0. I could try to say that m = n-1 meaning it would change to \sum_{m=-1}^{\infty} \frac{a^{m}}{m!}, but I have the exact same problem.

(I already know how the matrix is written and that term should be a be^{a})
 
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Why don't you write ##A=a\cdot I + b\cdot N##? Since ##N^2=0## and ##[I,N]=0## this should be the easiest way to write down ##(aI+bN)^n##.
 
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Thanks. I think that what can actually help me get rid of the n=0 term is the original multiplication with n, before I cancel it out with the denominator...
 
ChrisVer said:
Thanks. I think that what can actually help me get rid of the n=0 term is the original multiplication with n, before I cancel it out with the denominator...
That term should never be in there, s ##A^0 = I##, so the zeroth term is ##0## and has no terms in ##a## or ##b##.
 
ChrisVer said:
\textbf{A}^n = \begin{pmatrix} a^n & nba^{n-1} \\ 0 & a^n \end{pmatrix}

This is valid for ##n \ge 1##.
 
PeroK said:
This is valid for ##n \ge 1##.
Hm, yes. But I think it is expandable to ##n=0## too, no? (Or it happens to be the case because of this "type" of matrix)
I say that because ##nba^{n-1} =0##, and so we obtain the unit matrix as expected. I agree that I was too fast to cancel out ##n## with ##n!##, and I missed that I could omit the sum for ##n=0## right away.
 
ChrisVer said:
Hm, yes. But I think it is expandable to ##n=0## too, no? (Or it happens to be the case because of this "type" of matrix)
I say that because ##nba^{n-1} =0##, and so we obtain the unit matrix as expected. I agree that I was too fast to cancel out ##n## with ##n!##, and I missed that I could omit the sum for ##n=0## right away.
Okay, but you can drop the ##n = 0## term, otherwise, when you cancel ##n##, you are cancelling ##0##.
 
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You should really calculate ## (aI+bN)^n ## by the binomial formula. With ##(...)^0=I## and ##N^2=0## you can almost write the answer without any calculation. Since ##[I,N]=0## you can also calculate ##e^{tA}=e^{atI}\cdot e^{tbN}##.
 
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fresh_42 said:
You should really calculate ## (aI+bN)^n ## by the binomial formula. With ##(...)^0=I## and ##N^2=0## you can almost write the answer without any calculation. Since ##[I,N]=0## you can also calculate ##e^{tA}=e^{atI}\cdot e^{tbN}##.
Yup I agree about the commutator part and splitting in 2 exponentials. Using only the (Ia+Nb)^n however, only helps you to calculate A^n.
e^{aI + bN} = e^{atI}\cdot e^{tbN} (from [N,I]=0 )
e^{atI}\cdot e^{tbN} = (\sum_n \frac{(at)^n}{n!} ) I^n \cdot (\sum_m \frac{(bt)^m N^m}{m!})
e^{atI}\cdot e^{tbN} = e^{at} I \cdot (I + btN)= e^{at} I + bt e^{at} N
 
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