Fourier Transform (basic table lookup)

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Homework Help Overview

The discussion revolves around understanding the Fourier Transform and its properties, particularly focusing on a specific transform pair involving X(jt) and its relation to x(-ω). Participants are exploring the definitions and conventions associated with Fourier Transforms.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants are attempting to simplify the given transform pair and questioning the notation used, particularly the meaning of 'j' and the role of the prefactors in the Fourier Transform definitions. There is also a discussion about the implications of changing variable limits in integrals.

Discussion Status

Some participants have provided insights into the definitions and conventions of the Fourier Transform, while others express confusion regarding specific notations and the correctness of the relationships presented. The conversation reflects a mix of interpretations and attempts to clarify the mathematical rules involved.

Contextual Notes

There is mention of differing conventions in Fourier Transform definitions and the importance of prefactors, which may lead to confusion. Participants are also grappling with the implications of sign changes when manipulating integrals.

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I have a practice exam I'm going through, and I am stumped on one of the basic problems.

How is this a transform pair?

[tex]10 X(jt)[/tex] <-----> [tex]20 \pi x (-\omega)[/tex]

I don't see how one can make this relation. What is the [tex]10 X (jt)[/tex].

thanks in advance
 
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Divide both sides by 10 to simplify!

X(jt)<-----> 2pi x(-w)

Still seems wrong to me. The 2pi is normally included in the defn. of the FT.
What's j ?
 
I'll post the exact question. I don't understand the X(jt) as I posted. Note: [tex]j = \sqrt{-1}[/tex]

437273077_752ab8a123_o.jpg
 
OK, I got it- but I don't like the j notation. Everyone else writes

x(t) <-----> X(omega)

Define FT[x(t)]= Int[e^-iwt x(t)] dt
FT-1[X(w)]=(1/2pi)Int[e^iwt X(w)] dw

(you may use a different convention, but the prefactors of FT and FT-1 must multiply to (1/2pi) no matter what convention you use)Start with FT[x(t)]=X(w)

Int [ e^-iwt x(t)] dt = X(w)

substitute w=t', t=w'

Int [ e^-iw't' x(w') ] dw' =X (t')

which is the same as writing

Int [ e^-iwt x(w) ] dw =X (t)

Substitute w -> -w

-(1/2pi) Int [ e^iwt x(-w) ] dw =1/(2pi) X (t)

The LHS is the inverse FT, which I'll call FT-1

-FT-1 [x(-w)]=1/2pi X(t)

Take 2pi to other side
X(t)=-2pi FT-1 [x(-w)]

FT both sides

FT[ X(t) ] =-2pi x(-w)

X(t) <----> - 2pi x(-w)

I seem to have an extra minus sign- but who cares? You can have fun checking if it's me or the teacher who messed it up.

Edit- the minus sign comes from changing the limits from +ininity,-infinity to -infinity,+infinity in the integral, when w-> -w

You can then turn the integral 'the right way up' with the introduction of a minus sign.
That always trips me up.
 
Last edited:
The conjugation rule is :

[itex] g\left( t \right) = \overline {f\left( t \right)} \Rightarrow G\left( \omega \right) = \overline {F\left( { - \omega } \right)} [/itex]- Warren
 
chroot said:
The conjugation rule is :

[itex] g\left( t \right) = \overline {f\left( t \right)} \Rightarrow G\left( \omega \right) = \overline {F\left( { - \omega } \right)} [/itex]


- Warren

Is that a proof?
 
Oops, actually, I read this too quickly. The example given is a form of the inversion rule:

[itex] g\left( t \right) = F\left( t \right) \Rightarrow G\left( \omega \right) = f\left( { - \omega } \right)[/itex]

And no, it's not a "proof," it's an rule of the so-called Fourier transform calculus.

- Warren
 

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