Relationship between Fourier and Lpalace transforms

AI Thread Summary
The discussion centers on the relationship between Fourier and Laplace transforms, specifically the condition for substituting s = jω in the context of Linear Time-Invariant (LTI) systems. It is established that if all poles of the Laplace transform have negative real parts, the substitution is valid, leading to the Fourier transform. The equivalence of the Fourier transform to the double-sided Laplace transform is confirmed, with the understanding that the region of convergence (ROC) must include the imaginary axis for the Fourier transform to exist. Additionally, it is clarified that the statement regarding poles applies primarily to right-sided signals, emphasizing that Fourier and Laplace transforms are not entirely equivalent but rather that the Fourier transform is a specific case of the Laplace transform when σ = 0. Understanding these conditions is crucial for correctly applying these transforms in signal processing.
cocopops12
Messages
30
Reaction score
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:
 
Mathematics news on Phys.org
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, h(t) 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 h(t) is H(s). if you drive the input of that LTI with

x(t) = e^{j \omega t}

then the output of the LTI system is

y(t) = H(j \omega) e^{j \omega t}

same H(s), just substitute s = j \omega.

it's easy to prove, if you can do integrals.
 
oh, and what's easier to prove is that the Fourier transform is the same as the double-sided Laplace transform with the substitution s = j \omega. that's just using the definition.
 
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.
 
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 \sigma = 0.
 
Last edited:
Suppose ,instead of the usual x,y coordinate system with an I basis vector along the x -axis and a corresponding j basis vector along the y-axis we instead have a different pair of basis vectors ,call them e and f along their respective axes. I have seen that this is an important subject in maths My question is what physical applications does such a model apply to? I am asking here because I have devoted quite a lot of time in the past to understanding convectors and the dual...
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. In Dirac’s Principles of Quantum Mechanics published in 1930 he introduced a “convenient notation” he referred to as a “delta function” which he treated as a continuum analog to the discrete Kronecker delta. The Kronecker delta is simply the indexed components of the identity operator in matrix algebra Source: https://www.physicsforums.com/insights/what-exactly-is-diracs-delta-function/ by...
Back
Top