What Conditions Determine a Zero Measure Set in Fourier Transforms?

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Discussion Overview

The discussion revolves around the conditions that determine when the Fourier transform of a function is zero only on a set of Lebesgue measure zero. Participants explore theoretical aspects, mathematical reasoning, and implications of specific examples related to functions in the L2 space.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Some participants inquire about necessary and sufficient conditions for the Fourier transform of a function in L2(ℝ) to be zero on a set of Lebesgue measure zero.
  • One participant suggests considering the relationship between the L2 norm of a function and its Fourier transform, referencing Plancherel's theorem.
  • Another participant expresses uncertainty about the connection between Plancherel's theorem and the zeros of a Fourier transform, seeking alternative approaches.
  • A participant presents an example of a function, f(x) = sin(Kx)/x, noting that its Fourier transform is constant in a specific region and zero elsewhere.
  • Discussion includes the observation that the Fourier transform of a sinc function is a rectangle function, which has zeros on a set of Lebesgue measure zero.
  • Some participants propose that compact support in the time domain may imply that the Fourier transform has zeros on a set of Lebesgue measure zero.
  • It is noted that if an L2 function is compactly supported, its Fourier transform is an entire function, potentially leading to countably many isolated zeros.
  • Questions arise regarding the distinction between "countably many isolated zeros" and "zeros on a set of Lebesgue measure zero," with one participant clarifying that the former does not imply the latter.
  • Participants discuss the generalization of these properties to Fourier transforms of compactly supported functions in higher dimensions, noting that the zero set can form an analytic variety.

Areas of Agreement / Disagreement

Participants express various viewpoints and uncertainties regarding the conditions for zeros of Fourier transforms, with no consensus reached on necessary and sufficient conditions. Multiple competing views and interpretations remain present throughout the discussion.

Contextual Notes

Some limitations include the dependence on definitions of compact support and the nature of the zero sets, as well as unresolved mathematical steps regarding the implications of the discussed properties.

mnb96
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Hello,

for a function f∈L2(ℝ), are there known necessary and sufficient conditions for its Fourier transform to be zero only on a set of Lebesgue measure zero?
 
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Hello.

Thanks for the reply. This is not a homework problem.

I don't see unfortunately any clear connection between Plancherel theorem and the zeros of a Fourier transform. Maybe someone else could point out other possible directions to approach the problem?

It would be even ok to restrict the domain of the original question to finding only sufficient conditions.
 
I originally misread the question as: "zero except on a set of Leb. measure zero" so that it would of necessity have zero total L2 norm. But I now see that isn't what you said. I still am inclined to to think about the problem in linear algebraic terms. The L2 norm is preserved under Fourier Transform... hmmm. I would have to think on this further.
 
I don't know the answer, but just playing around, I found that a simple example of a function that does have zeros in an extended region is:

f(x) = \frac{sin(Kx)}{x}

The FT \tilde{f}(k) is (if I've done it correctly) constant in the region -K < k < +K, and zero everywhere else.
 
Hi stevendaryl,

yes, I think the fact that the FT of a sinc function is rectangle function (and vice-versa) is a well-known result. Despite that, it is a useful remark. In fact, the rectangle function is one example of function whose FT has zeros on a set of Lebesgue measure zero.

Now, one interesting thing is that the rectangle function has compact support.

Could it be so that "compact support in time domain" => "FT with zeros on a set of Lebesgue measure zero" ?
 
Yes, if an ##L^2## function is compactly supported, its Fourier transform is an entire function (i.e. analytic function on the whole complex plane), and thus it can have at most countably many isolated zeroes, accumulating to ##\infty##.

If an ##L^2## function is supported on a half-line, then its Fourier transform (on the real line) can vanish only on a set of Lebesgue measure zero, that is a standard fact from the theory of Hardy spaces.

But I am not aware of a necessary and sufficient condition, I think a "simple" necessary and sufficient condition is impossible.
 
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Hawkeye18 said:
Yes, if an ##L^2## function is compactly supported, its Fourier transform is an entire function (i.e. analytic function on the whole complex plane), and thus it can have at most countably many isolated zeroes, accumulating to ##\infty##.

Very interesting and satisfactory answer!
I didn't know about the relationship between compact support and analyticity of the FT.

I am still wondering two things:

1) Is there an actual difference in this case between "countably many isolated zeroes" and "zero in a set of Lebesgue measure zero"? Is it so that the former property implies the latter but not vice-versa?

2) How does the above statement generalize to FT's of compactly supported 2-dimensional functions?
 
mnb96 said:
1) Is there an actual difference in this case between "countably many isolated zeroes" and "zero in a set of Lebesgue measure zero"? Is it so that the former property implies the latter but not vice-versa?

Yes, definitely. The sets of zero measure can have quite complicated structure, they can consists of uncountably many points. For example, the classical Cantor 1/3 set has measure 0, and is uncountable.

mnb96 said:
2) How does the above statement generalize to FT's of compactly supported 2-dimensional functions?

Some of it generalizes to any dimension ##n##. The Fourier transform of a compactly supported function in ##\mathbb R^n## is still an analytic function (you need to assume that your function is in ##L^1##, which for compactly supported functions follows from the assumption that ##f\in L^2##). The zero set of such function for ##n\ge 2## does not generally consists of countably many isolated points, but is what is called an "analytic variety". But it has measure zero, and it posesses a nice structure.

For example, if you fix ##n-1## variables, and vary one, say ##x_k##, then the function will be zero at most at countably many values of ##x_k##: this immediately implies that the zero set has measure 0.
 

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