Fourier Transform and Infinity Problem

In summary, the Fourier Transform of g(t)=\frac{1}{x}e^{\frac{-\pi t^2}{x^2}} is G(f)=\frac{1}{x}[\frac{x^2e^{-t(\frac{\pi t}{x^2}+j2\pi f)}}{-2\pi t-j2\pi fx^2}] when integrating over the interval (-\infty,\infty) by completing the square on the exponent and using polar coordinates.
  • #1
frenzal_dude
77
0

Homework Statement


Hi, I need to find the Fourier Transform of: [tex]g(t)=\frac{1}{x}e^{\frac{-\pi t^2}{x^2}}[/tex]

Homework Equations



[tex]G(f)=\int_{-\infty}^{\infty }g(t)e^{-j2\pi ft}dt
\therefore
G(f)=\int_{-\infty}^{\infty }\frac{1}{x}e^{\frac{-\pi t^2}{x^2}-j2\pi ft}dt[/tex]

The Attempt at a Solution


[tex]G(f)=\frac{1}{x}[\frac{x^2e^{-t(\frac{\pi t}{x^2}+j2\pi f)}}{-2\pi t-j2\pi fx^2}] (limits:t=\infty,t=-\infty)[/tex]

If you sub in t=infinity or t=-infinity, both will give you 0 because t is on the denominator.

Thanks for the help in advance! :)
 
Last edited:
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  • #2
Check your antiderivative; you are essentially claiming that

[tex]\frac{d}{dt}\left(\frac{\rm{e}^{h(t)}}{h'(t)}\right)=\rm{e}^{h(t)}[/tex]

which isn't true.
 
  • #3
Hi, I had a - insead of a + in the last exponential.

Basically to integrate the exponential, I took the derivative of the power and divided the exponential by that derivative. Isn't this the right method?

So the derivative of [tex]\frac{-\pi t^2}{x^2}-j2\pi ft=\frac{-2\pi t}{x^2}-j2\pi f=\frac{-2\pi t-j2\pi fx^2}{x^2}
[/tex]
[tex]G(f)=\int_{-\infty}^{\infty }\frac{1}{x}e^{\frac{-\pi t^2}{x^2}-j2\pi ft}dt=\frac{1}{x}[\frac{e^{\frac{-\pi t^2}{x^2}-j2\pi ft}}{\frac{-2\pi t-j2\pi fx^2}{x^2}}=\frac{1}{x}[\frac{x^2e^{-t(\frac{\pi t}{x^2}+j2\pi f)}}{-2\pi t-j2\pi fx^2}][/tex]
 
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  • #4
No, for example, [itex]\int e^{-t^2}dt\neq-\frac{1}{2t}e^{-t^2}+C[/itex]. Take the derivative of it to convince yourself:

[tex]\frac{d}{dt}\left(-\frac{1}{2t}e^{-t^2}+C\right)=\left(\frac{1}{2t^2}+1\right)e^{-t^2}[/tex]

via the product rule.

In fact, there is no nice antiderivative for [itex]e^{-t^2}[/itex], or your integrand (Unlees you consider the error function to be nice). You can however integrate it over the interval [itex](-\infty,\infty)[/itex] easily by completing the square on the exponent, and using the fact that [itex]\int_{-\infty}^{\infty}e^{-x^2}dx=\int_{-\infty}^{\infty}e^{-y^2}dy[/itex], and hence

[tex]\int_{-\infty}^{\infty}e^{-x^2}dx=\left(\int_{-\infty}^{\infty}e^{-x^2}dx\int_{-\infty}^{\infty}e^{-y^2}dy\right)^{1/2}=\left(\int_{-\infty}^{\infty}\int_{-\infty}^{\infty}e^{-(x^2+y^2)}dxdy\right)^{1/2}[/tex]

Which you can integrate by switching to polar coordinates.
 

Related to Fourier Transform and Infinity Problem

1. What is the Fourier Transform and how is it used in scientific research?

The Fourier Transform is a mathematical tool used to analyze and break down complex signals or functions into simpler components. It is widely used in various fields of science and engineering, such as physics, chemistry, and signal processing, to understand the frequency components of a signal and extract useful information.

2. Can the Fourier Transform be applied to any type of signal or function?

Yes, the Fourier Transform is a universal tool that can be applied to any continuous or discrete signal or function. It can handle both periodic and non-periodic signals, making it a versatile tool in scientific research.

3. What is the relationship between the Fourier Transform and the Infinity Problem?

The Fourier Transform is often used to solve the Infinity Problem, which refers to the diverging sums or integrals that arise in certain mathematical equations. By transforming the equation into the frequency domain using the Fourier Transform, the problem can be solved more easily and accurately.

4. Are there any limitations or drawbacks to using the Fourier Transform?

While the Fourier Transform is a powerful tool, it does have some limitations. For instance, it assumes that the signal is continuous and infinite, which may not always be the case in real-world applications. Additionally, it cannot handle signals with sudden changes or discontinuities.

5. Can the Fourier Transform be used in other areas besides signal processing and mathematics?

Yes, the Fourier Transform has various applications in different fields of science and technology. It is commonly used in image processing, quantum mechanics, and even music theory. It also has applications in data compression, data analysis, and pattern recognition.

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