Finding Matrix Exponential of A - Solutions Explained

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Homework Help Overview

The discussion revolves around finding the matrix exponential of a given matrix A, specifically A = [0 1; 1 0]. Participants explore various methods and concepts related to matrix exponentiation, including the Taylor series expansion and diagonalization.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster expresses uncertainty about how to approach the problem of finding the matrix exponential without relying on the expansion. Some participants suggest that the Taylor series expansion is useful for many types of matrices, including diagonal matrices. Others mention the importance of diagonalization and eigenvalues in solving the problem.

Discussion Status

Participants are actively discussing different approaches to finding the matrix exponential. Some guidance has been offered regarding diagonalization and the use of eigenvalues. The original poster acknowledges gaining insight into the problem and expresses a willingness to explore further.

Contextual Notes

There is a mention of the original poster's initial misunderstanding regarding the usefulness of the expansion for non-nilpotent matrices. The discussion also touches on the complexity of the exponential expansion for non-diagonalizable matrices.

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Homework Statement


Given the matrix A=
[0 1]
[1 0]
Find eA

Homework Equations





The Attempt at a Solution


I have no idea how to approach this.
I know the expansion for an exponential matrix, I was able to apply this for a nilpotent matrix.
Could someone please explain to me how to find the matrix exponential of ANY matrix, with OUT using the expansion ( the expansion isn't really helpful unless my matrix is nilpotent.)

Thanks a mil
 
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I don't know where you got the idea that "the expansion isn't really helpful unless my matrix is nilpotent". Aren't infinite series useful?

The Taylor's series expansion is very useful for many kinds of matrices. It is almost trivial to do, for example for diagonal matrices.

If, for example
[tex]A= \begin{bmatrix}\lambda_1 & 0 & 0 \\ 0 & \lambda_2 & 0 \\ 0 & 0 & \lambda_3\end{bmatrix}[/tex]
for any n,
[tex]A^n= \begin{bmatrix}\lambda_1^n & 0 & 0 \\ 0 & \lambda_2^n & 0 \\ 0 & 0 & \lambda_3^n\end{bmatrix}[/tex]
and so
[tex]e^A= \sum \frac{1}{n!} A^n= \begin{bmatrix}\sum \frac{1}{n!}\lambda_1^n & 0 & 0 \\ 0 & \sum \frac{1}{n!}\lambda_2^n & 0 \\ 0 & 0 & \sum\frac{1}{n!}\end{bmatrix}= \begin{bmatrix}e^{\lambda_1} & 0 & 0 \\ 0 & e^{\lambda_2} & 0 \\ 0 & 0 & e^{\lambda_3}\end{bmatrix}[/tex]

Many matrices are diagonalizable. If [itex]A= P^{-1}DP[/itex], where D is diagonal and P an invertible matrix (i.e. is A is "similar" to a diagona matrix), then it is easy to show that
[tex]A^n= P^{-1}D^nP[/tex]
and so
[tex]e^A= P^{-1}e^DP[/tex]
and [itex]e^D[/itex] is, as above, simple.

If a matrix is not diagonalizable it has a "Jordan Normal form" for which the exponential expansion is more complcated but still doable.

In any case, for the matrix you give
[tex]A= \begin{bmatrix}0 & 1 \\ 1 & 0\end{bmatrix}[/tex]
is symmetric and so diagonalizable.

For this particular matrix the expansion is very simple. Did you at least calculate [itex]A^2[/itex]? It turns out to be easy to write [itex]A^n[/itex] for any n. But I would recommend diagonaizing A.
 
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Im sorry if my question has offended u.
What I meant was that it was not useful to just subsitute straight into the expansion.
I did not know how to approach the question.
Some further digging on the internet has lead me in the direction of eigenvalues and diagonalization.
Thank you for your time, and guidance.
I have the answer for the question, I just want to know how to get to the answer.
I shall look over your explanation and rack your brains if I get lost.
Thanks again
 
It did not offend me, I was just point out that you were mistaken!
 
Ok,
I have diagonalised A
The eigenvalues are 1 and -1
My problem now is that I don't know the expansions.
that is not major though. Some sifting through the internet shall yield the results.
Im just happy I know HOW to answer the question.
Thanks for all your help.
:)
 

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