Finding Matrix Exponential of A - Solutions Explained

In summary, the student is struggling with a homework problem and is seeking help from an expert. The expert has no idea how to approach the problem and provides a brief overview of how to find the matrix exponential of ANY matrix.
  • #1
syj
55
0

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
 
Physics news on Phys.org
  • #2
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.
 
Last edited by a moderator:
  • #3
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
 
  • #4
It did not offend me, I was just point out that you were mistaken!
 
  • #5
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.
:)
 

FAQ: Finding Matrix Exponential of A - Solutions Explained

How do I find the matrix exponential of A?

To find the matrix exponential of A, you can use the formula e^A = I + A + (A^2)/2! + (A^3)/3! + ... + (A^n)/n!, where I is the identity matrix and n is a large number. Alternatively, you can use a calculator or software that has a built-in function for calculating matrix exponential.

Why is finding the matrix exponential of A important?

Finding the matrix exponential of A is important because it allows us to solve systems of differential equations, which have many applications in science and engineering. It also has uses in areas such as cryptography and quantum mechanics.

What are the common methods for finding the matrix exponential of A?

The most common method for finding the matrix exponential of A is by using the formula mentioned in the first question. Other methods include using diagonalization, eigendecomposition, and Jordan decomposition.

Can the matrix exponential of A be negative?

No, the matrix exponential of A cannot be negative. It is always a positive definite matrix.

Are there any real-world examples of using matrix exponential?

Yes, there are many real-world examples of using matrix exponential. One example is in population dynamics, where it can be used to model the growth and decline of animal populations. It is also used in physics to describe the evolution of quantum systems and in economics to study the flow of money in a market.

Similar threads

Replies
4
Views
943
Replies
8
Views
1K
Replies
6
Views
1K
Replies
4
Views
846
Replies
8
Views
2K
Replies
3
Views
1K
Back
Top