Band-limited function, Shannon-Nyquist sampling distance

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SUMMARY

The discussion centers on finding a function \( f \in L^2(\mathbf{R}) \) that satisfies specific conditions related to the Shannon-Nyquist sampling theorem. The proposed function \( f(t) = \frac{\sin \pi \delta t}{t} \) meets the criteria of having its Fourier transform \( \hat{f}(\omega) \) equal to zero for \( |\omega| > \Omega \) while remaining non-zero in \( L^2(\mathbf{R}) \). Participants confirm that the function is valid, emphasizing that \( f \neq 0 \) indicates it is not the trivial zero function. The discussion also explores alternative forms of the function and the implications of the conditions set by \( \delta \) and \( \Omega \).

PREREQUISITES
  • Understanding of Fourier transforms and their properties.
  • Familiarity with the concepts of \( L^2 \) spaces in functional analysis.
  • Knowledge of the Shannon-Nyquist sampling theorem.
  • Basic skills in mathematical analysis, particularly in handling limits and continuity.
NEXT STEPS
  • Study the properties of the Fourier transform, particularly the sinc function.
  • Explore the implications of the Shannon-Nyquist theorem in signal processing.
  • Investigate alternative functions in \( L^2(\mathbf{R}) \) that meet similar criteria.
  • Learn about convergence in \( L^2 \) spaces and the significance of non-trivial solutions.
USEFUL FOR

Mathematicians, signal processing engineers, and students studying functional analysis or sampling theory will benefit from this discussion, particularly those interested in the applications of the Shannon-Nyquist theorem.

Incand
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Homework Statement


If ##\delta## and ##\Omega## are two numbers with ##0 < \frac{\pi}{\Omega} < \delta## find a function ##f\in L^2(\mathbf R )## such that ##\hat f(\omega)=0## for ##|\omega|> \Omega## and ##f(n\delta) = 0## for ##n \in \mathbf Z##, but ##f\ne 0## as an element of ##L^2(\mathbf R )##. This shows that the Shannon-Nyquist sampling distance ##\Delta t = \frac{\pi}{\omega_{\max}}## is the largest possible.

Homework Equations


Fourier transform
##\frac{\sin ax}{x} \to \pi \mathscr{X}_a(\xi ) =
\begin{cases}
\pi \; \; |\xi | < a \\
0 \; \; |\xi | > a
\end{cases}##

The Attempt at a Solution


I Choose ##f(t) = \frac{\sin \pi \delta t}{t}## which seems to satisfy all the criteria since
##F.T.(\frac{\sin \pi \delta t}{t}) = \pi \mathscr{x}_{\pi /\delta } < \pi \mathscr{x}_{\pi /\Omega }##
Is this what I was supposed to do in the exercise? There's no answer so I'm not sure I proved everything I should. What does it mean that ##f\ne 0## as an element of ##L^2(\mathbf R )##? That it's not the zero-function?
 
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I assume you meant "##\delta## and ##\Omega## are two numbers...". Shouldn't it be ##f(t) \propto \frac{\sin \pi t/\delta}{t}## ? Even still it fails for ##n=0##. But this could still be the answer they want. Yes, ##f\neq 0 ## means it's not the zero function (which is a trivial solution).
 
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MisterX said:
I assume you meant "##\delta## and ##\Omega## are two numbers...". Shouldn't it be ##f(t) \propto \frac{\sin \pi t/\delta}{t}## ? Even still it fails for ##n=0##. But this could still be the answer they want. Yes, ##f\neq 0 ## means it's not the zero function (which is a trivial solution).
Yes should've been ##\delta##. Your version of ##f(t)## is of cause equally correct (and more general). Since they only ask me to find a solution I didn't bother with the constant. I think I take your post as confirmation that at least I probably got what the question asked for. I guess there may be a solution with ##f(0)=0## or atl where ##\lim_{x\to 0} f(x) =0## but I think they probably meant except that point.
I guess I could also choose some function that is zero past a point say ##|x| > a## and get other solutions than trigonometric functions and have convergence even without a ##t## in the denominator but I feel quite happy as it is!
 

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