Calculating exp(At): Reverse Laplace Transform vs. Matrix Series Method

In summary, the conversation discusses calculating exp(At) in two ways: using the reverse Laplace transform and using a series formula. The person has tried starting the series but is unsure of the expression they are getting. They also mention getting a step function when using Laplace. They ask for help and someone suggests dividing by s(s+1) instead of s(s+1)-1, which is the determinant. The person then realizes their mistake and thanks the other person for their help.
  • #1
erezb84
43
0

Homework Statement


I have the following matrix:
A=[0 -1; 0 -1]

and i need to calculate: exp(At) in several ways, 2 of them are using the reverse Laplace transform and using: I + Ʃ(A^kt^k)/k!

i have tried to start the series but i am getting an expression that i can't say which series it is,
and when i try with Laplace i get the one of the matrix expressions is a step function..

i will apreaciate the help...

thanks!
 
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  • #2
What are you getting for
[tex](sI-A)^{-1}[/tex]
 
  • #3
this is what i get. but i can't find the reverse transform...
 

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  • #4
erezb84 said:
this is what i get. but i can't find the reverse transform...

You are dividing by the wrong thing. Divide by
[tex]s(s+1)[/tex]
instead of
[tex]s(s+1)-1[/tex]
 
  • #5
but
[tex]s(s+1)-1[/tex]
is the deteminante..
in oreder to reverse 2*2 matrix i do this:
[a b ; c d]^-1 = [d -b; -c a] * 1/det
no?
 
  • #6
erezb84 said:
but
[tex]s(s+1)-1[/tex]
is the deteminante..
In oreder to reverse 2*2 matrix i do this:
[a b ; c d]^-1 = [d -b; -c a] * 1/det
no?

1*0 = 0
 
  • #7
daaaam! right, thanks!
 

FAQ: Calculating exp(At): Reverse Laplace Transform vs. Matrix Series Method

What is the purpose of calculating exp(At)?

The purpose of calculating exp(At) is to determine the behavior of a linear dynamic system over time, where A is a matrix representing the system's dynamics. This can help in analyzing and predicting the system's response to different inputs and initial conditions.

What is the Reverse Laplace Transform method for calculating exp(At)?

The Reverse Laplace Transform method involves finding the inverse Laplace transform of the matrix function sI - A, where s is the complex variable in the Laplace domain. This results in a time-domain representation of exp(At) in the form of a matrix exponential series.

How does the Matrix Series method differ from the Reverse Laplace Transform method?

The Matrix Series method involves directly computing the matrix exponential series using the Taylor series expansion of exp(x). This results in a polynomial expression of exp(At) which can be evaluated for different values of t, without the need for inverse Laplace transform.

Which method is more accurate for calculating exp(At)?

The Matrix Series method is generally more accurate for calculating exp(At) as it involves fewer approximations compared to the Reverse Laplace Transform method. However, the accuracy may vary depending on the system dynamics and the order of the matrix A.

When should I use the Reverse Laplace Transform method and when should I use the Matrix Series method?

The choice of method depends on the specific requirements and limitations of the problem at hand. The Reverse Laplace Transform method is more suitable for larger systems with complex dynamics, while the Matrix Series method is more efficient for smaller systems with simpler dynamics. It is recommended to use both methods and compare the results for a more accurate analysis.

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