Existance of Fourier transform

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SUMMARY

The existence of the Fourier transform of a function is contingent upon the function being absolutely integrable. The function identified, f(t) = (1/π)(1/(1+t²))|t|^(-1/2), is absolutely integrable but not square-integrable, indicating it possesses infinite energy. This implies that Parseval's Theorem does not apply to such functions. MATLAB's symbolic toolbox was utilized to analyze related functions, revealing that while their Fourier transforms exist, they are complex and do not yield simple analytic forms.

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  • Understanding of Fourier transform definitions and properties
  • Knowledge of absolute and square integrability concepts
  • Familiarity with MATLAB symbolic toolbox for mathematical analysis
  • Basic principles of Parseval's Theorem
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  • Research the implications of absolute integrability on Fourier transforms
  • Explore functions that are absolutely integrable but not square-integrable
  • Learn advanced MATLAB techniques for symbolic computation of Fourier transforms
  • Investigate the conditions under which Parseval's Theorem holds
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Students and professionals in signal processing, applied mathematics, and engineering, particularly those studying Fourier analysis and its applications.

kzhu
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Homework Statement


The sufficient condition of the existence of the Fourier transform of a function is that the function is absolutely integrable. I have identified a function that is absolutely integrable, but not square-integrable

[tex]f(t) = \frac{1}{\pi}\frac{1}{1+t^2}|t|^{\frac{-1}{2}}[/tex]

see page 177 of Fourier and Laplace Transforms by Beerends et al. What is the Fourier transform of this function? Could this be evaluated?

Homework Equations



Since this function is not square-integrable, does it mean it has infinite energy and the Parseval's Theorem will not hold for it?

The Attempt at a Solution


I attempted to use MATLAB symbolic toolbox to separately find the Fourier transform of the function
[tex]g(t) = \frac{1}{\pi}\frac{1}{1+t^2}[/tex]
and
[tex]h(t)=|t|^{\frac{-1}{2}}[/tex],

both of which exist but in a very complex form. I assume the Fourier transform of f(t) will be even more complex as Matlab failed to give an analytic form.

The implication of this little experiment shows that there are functions whose Fourier transform exists, but do not have finite energy.

Would appreciate if someone could confirm this with me.

Thank you.

kzhu
 
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The definition of Fourier transform that I refer to is

[tex]X(j\omega) = \int_{-\infty}^{+\infty}x(t) e^{-j\omega t}dt[/tex]

and the inverse
[tex]x(t)=\frac{1}{2\pi} \int_{-\infty}^{+\infty} X(j\omega)e^{j\omega t} d\omega[/tex]

On a second thought, my question can read: Could someone provide a couple of functions that have Fourier transforms by these definition but do not have finite energy?

Thank you.

kzhu
 

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