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Fourier Transform: Why is this so? |
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| Aug18-08, 04:40 AM | #1 |
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Fourier Transform: Why is this so?
Why is this so?
[tex]\displaystyle F\left[ \frac{1}{1-e^{-\pi x}} \right] = i \frac{1+e^{-2k}}{1-e^{-2k}}[/tex] Here, [tex]-\infty < x < \infty[/tex]. It has to be done by contour integration, by the way. Unfortunately, I'm having difficulty with the whole thing. |
| Aug18-08, 01:29 PM | #2 |
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Are you sure that is so? To me it seems that the Fourier transform isn't defined for that function. The integral diverges at x=0.
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| Aug18-08, 01:43 PM | #3 |
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The function diverges (not only at x = 0, but also at x = infinity), but not faster than [tex]e^{\alpha x}[/tex]. That should be enough to assure existence of a Fourier transform. |
| Aug18-08, 01:49 PM | #4 |
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Fourier Transform: Why is this so?[tex] \int\limits_{-\infty}^{\infty} \frac{e^{ikx}}{1-e^{-\pi x}} dx [/tex] does not converge, and the Fourier transform doesn't get defined. I don't know what rate of divergence could mean in this context. Actually there is two divergence problems. One is at [tex]x=0[/tex], and other one at [tex]x=\infty[/tex]. |
| Aug18-08, 01:57 PM | #5 |
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The standard idea I've known is to instead examine the fourier transform of [tex]e^{\alpha x}f(x)[/tex]. When one does the fourier inversion, it amounts to integrating not on the real k axis, but along the line [tex][-\infty + i\alpha,-\infty + i\alpha][/tex] (there may be a sign off there). This is why we don't need functions that have convergent integrals -- so long as they don't shoot off faster than an exponential. The problem is that this gives you the fourier transform [tex]F(k+\alpha)[/tex], not F(k). It of course isn't a problem once you invert (you get f(x) in terms of an integral -- just not the one on the real k-axis). But the actual F(k) expression...? Indeed, when I went down this line of thought, my impression was F(k) doesn't exist. But this is a published result. Moreover, the rest of the results makes sense, which is why I don't doubt this claim. The author writes that it follows from contour integration. No other hint is given. |
| Aug18-08, 02:18 PM | #6 |
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Recognitions:
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What is your definition of "Fourier transform"?
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| Aug18-08, 02:25 PM | #7 |
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| Aug18-08, 02:44 PM | #8 |
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Nevermind. It's been solved at SOS.
Idiot mistake I made not remembering [tex]1-e^{\pi z}[/tex] has more than the one root at z = 0. |
| Aug18-08, 02:50 PM | #9 |
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What does the notation P.V. mean?
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| Aug18-08, 02:54 PM | #10 |
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Basically, the integral without the singularity. The poster misused some of the notation. The fourier integral is not defined into a principal value, but as "the integral over the washer". It's by virtue of the fact the outer radial integral tends to zero that the principal value is equal to the residues and thus equal to the fourier integral (modulo signs and stuff). But of course, I'm not complaining. I got my answer. |
| Aug18-08, 02:59 PM | #11 |
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Ok. It should be stated in the original problem, that the divergence at the origo shall be dealt with the Cauchy principle value. I would be curious to know how reliable the inverse Fourier transform is, once the Fourier transform has been calculated with Cauchy principle value choice. You know, you can deal with the divergence in many different ways, and the inverse formula is not going to hold for them all, at least.
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| Aug18-08, 03:07 PM | #12 |
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I'm still skeptical over this entire result. The expression
[tex] \frac{e^{-ikz}}{1 - e^{-\pi z}} [/tex] does not approach zero on the limit [tex]z\to (+\infty, 0)[/tex], and does not oscillate rapidly either to make the integral go zero. So the vanishing of the integral on the outer semi-circle looks suspicious too. |
| Aug18-08, 03:08 PM | #13 |
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It was calculated by applying the definition: an integral from x = -infinity to +infinity. The contour started at -infinity, ran along the x-axis (this is the principal value), plus the indentations above the singularities, and over the outside of the "washer". It just so happens that the function decays in the outside washer. There's no ambiguity here. It's the standard way of dealing with fourier transforms in the complex plane. |
| Aug18-08, 03:15 PM | #14 |
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| Aug18-08, 04:24 PM | #15 |
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\lim_{z\to (+\infty, 0)}\frac{1}{1-e^{-\pi z}} \to 1 [/tex] so the integrand behaves like [tex] \frac{e^{-ikz}}{1-e^{-\pi z}} \to e^{-ikz}. [/tex] There is no chance this integral is converging, and also no chance that the residue trickery could have been valid. You could interpret the integral as a distribution though, like first fixing the integration domain as finite, and then taking the limit when the domain extends to all real axis, and solving how the integral function behaves as a distribution on this limit. |
| Aug18-08, 05:34 PM | #16 |
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You're right. I was too hasty writing what I wrote when I wrote it. Here is a reply, but it may have an error. I'm in a hurry though. Define, [tex]f_{+}(x) = \frac{1}{1-e^{-\pi x}}[/tex] for [tex]x > 0[/tex] and, [tex]f_+ = 0[/tex] otherwise. Let [tex]F_+(x) = e^{\alpha x}f_+(x)[/tex] where [tex]\alpha < 0[/tex] and real. Now calculate, [tex]\hat{F_+}(k) = \textbf{F}[F_+][/tex] Notice now the integrand tends to zero for, [tex]\text{Im}(k) = 0[/tex] and [tex]z \to \infty[/tex] By the same method as above, [tex]\hat{F_+}(k) = i\left(\frac{1+e^{-2(k+\alpha i)}}{1-e^{-2(k+\alpha i)}}\right)[/tex] It is consistent (by extension of the Inverse Fourier Transform to the complex domain) to define, [tex]\hat{F_+}(k) = \hat{f_+}(k+i\alpha)[/tex] Thus, [tex]\hat{f_+} =i\left(\frac{1+e^{-2x}}{1-e^{-2x}}\right)[/tex] The same follows for [tex]f_-(x)[/tex] defined similarly and the result follows from superposition. |
| Aug19-08, 02:33 AM | #17 |
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It bears emphasizing that when the [itex]i\omega[/itex] axis is not included in the region of convergence, the Fourier transform does not, strictly speaking, exist. The Laplace transform will exist, though, provided f(x) can be made convergent through exponential damping, as you say. Note that, for example, an f(x) that blows up for both large positive and large negative x cannot be made to converge, as the end will still blow up with [itex]\sigma[/itex] positive, and vice-versa with [itex]\sigma[/itex] negative. You can't get around this by chopping it into two pieces in the time domain, as the corresponding regions of convergence of the transforms will not overlap, and so there is no way to put the two transforms back together. |
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