Relationship between Fourier and Lpalace transforms

In summary, the statement states that if all the poles of a Linear Time-Invariant system have negative real parts, then substituting s = jω will result in the Fourier transform of the system. This makes sense because the Fourier transform is equivalent to the double-sided Laplace transform with the substitution s = jω, and the poles on the left hand side of the s-plane ensure that the substitution is valid.
  • #1
cocopops12
30
0
Can someone please explain WHY the statement below is valid:
29v1fdd.jpg


s = σ + jω ; left hand side σ < 0
So it basically says if all the poles have negative real parts then we can directly substitute s = jω to get the Fourier transform.

This doesn't make sense to me, does it make sense to you? :rolleyes:
 
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  • #2
that statement doesn't state it well. but the end result makes sense to me.

here is what you do:

suppose you have a Linear Time-Invariant system (LTI). then the impulse response, [itex]h(t)[/itex] fully defines the input/output characteristic of the LTI. if you know the impulse response, you know how the LTI will respond to any input.

anyway, the double-sided Laplace transform of [itex]h(t)[/itex] is [itex]H(s)[/itex]. if you drive the input of that LTI with

[tex] x(t) = e^{j \omega t} [/tex]

then the output of the LTI system is

[tex] y(t) = H(j \omega) e^{j \omega t} [/tex]

same [itex]H(s)[/itex], just substitute [itex]s = j \omega[/itex].

it's easy to prove, if you can do integrals.
 
  • #3
oh, and what's easier to prove is that the Fourier transform is the same as the double-sided Laplace transform with the substitution [itex]s = j \omega[/itex]. that's just using the definition.
 
  • #4
Thanks my friend.

I understand that the Fourier transform is equivalent to the double-sided Laplace transform, but that doesn't explain anything clearly to me regarding the poles that have to be located on the left hand side of the s-plane in order for the substitution s = jω to be valid.
 
  • #5
A signal has its Fourier transform if and only if its ROC of Laplace transform contains the imaginary axis s=jw.

The statement that you give is valid only for the right-hand sided signals for which the ROC is the right hand side of the poles.

Fourier transform and Laplace transfrom (whether one-sided or two-sided) are not equivalent. Fourier transform can be considered as a special case of Laplace transform, that is, just set [itex]\sigma = 0[/itex].
 
Last edited:

1. What is the difference between Fourier and Laplace transforms?

The Fourier transform is used to decompose a function into its frequency components, while the Laplace transform is used to analyze the behavior of a function in the complex plane.

2. How are Fourier and Laplace transforms related?

The Laplace transform is a generalization of the Fourier transform, as it includes a complex variable in addition to the usual real variable. The Fourier transform can be obtained from the Laplace transform by setting the complex variable to zero.

3. What is the main application of Fourier and Laplace transforms?

Fourier and Laplace transforms are widely used in signal processing, control systems, and differential equations. They allow us to convert a function from one domain (time or space) to another (frequency or complex plane) and make it easier to analyze and solve problems.

4. How do Fourier and Laplace transforms help in solving differential equations?

By converting a differential equation from the time domain to the frequency or complex domain, we can often simplify the problem and find analytical solutions. This is particularly useful for systems with complex inputs and outputs.

5. Are there any limitations to using Fourier and Laplace transforms?

Yes, Fourier and Laplace transforms are only applicable to functions that are well-behaved and have a finite number of discontinuities. They may also fail to converge for some functions, making them unsuitable for certain applications.

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