Math 2.0

Harmonic analysis on Euclidean spaces Uncertainty principles Theorem

Benedicks' theorem

Builds on Fourier transformLp spaceLebesgue measureUncertainty principle in Fourier analysisPoisson summation formula

Statement

Let n≥1n \ge 1 and let f∈L1(ℝn)f \in L^1(\R^n). Let f^(ξ)=∫ℝnf(x)e−2πix⋅ξ dx\hat f(\xi) = \int_{\R^n} f(x) e^{-2\pi i x \cdot \xi}\, dx be its Fourier transform. Suppose that the sets {x∈ℝn:f(x)≠0}\set{x \in \R^n : f(x) \ne 0} and {ξ∈ℝn:f^(ξ)≠0}\set{\xi \in \R^n : \hat f(\xi) \ne 0} both have finite Lebesgue measure. Then f=0f = 0 almost everywhere.

Remarks

The theorem strengthens the qualitative uncertainty principle, which assumes bounded sets instead of sets of finite measure. With finite measure only, the analytic continuation argument is no longer available. The proof periodizes instead. After a dilation one may assume that the set where f≠0f \ne 0 has measure less than 11. For almost every ξ\xi, the ℤn\Z^n-periodization of x↦f(x)e−2πix⋅ξx \mapsto f(x) e^{-2\pi i x \cdot \xi} has the numbers f^(ξ+k)\hat f(\xi + k), k∈ℤnk \in \Z^n, as Fourier coefficients, as in the Poisson summation formula, and only finitely many of them are nonzero. So this periodization is a trigonometric polynomial, and it vanishes on a set of positive measure in the torus. A trigonometric polynomial that vanishes on a set of positive measure is zero, so f^(ξ+k)=0\hat f(\xi + k) = 0 for all kk and almost every ξ\xi, and f=0f = 0.

The theorem is due to M. Benedicks. A version for L2(ℝn)L^2(\R^n) was proved independently by W. O. Amrein and A. M. Berthier.

Example: the Gaussian e−π∣x∣2e^{-\pi \abs{x}^2} is nowhere zero, as is its transform, so both sets have infinite measure, consistent with the theorem.

Going deeper

For a student

This is the measure-theoretic form of the principle that ff and f^\hat f cannot both be concentrated. A quantitative version, due to Nazarov in dimension one and extended to ℝn\R^n, bounds ∥f∥2\norm{f}_2 by a constant times the L2L^2 norms of ff and f^\hat f outside such sets. A pair of sets with this property is called an annihilating pair, and the theorem says that any two sets of finite measure form one.

Reading path

To understand this page from the ground up, read these 12 pages in order. The foundations come first.

Show the path as a graph
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Borel sigma-algebra concept
  2. Entire function concept
  3. Euclidean space object
  4. Fourier series concept
  5. Fourier transform concept
  6. Lp space concept
  7. Outer measure concept
  8. Schwartz space concept
  9. Lebesgue measure object
  10. Uncertainty principle in Fourier analysis statement
  11. Poisson summation formula statement
  12. Benedicks' theorem statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Fourier_transform, Uncertainty principle
About this page
Tag4ZY2D6C8A6
URIm2://4ZY2D6C8A6
Kindstatement, theorem
WritingW0 stub
MSC42B10, 42A38
StatusThis copy of the site has no build data. Run m2 status 4ZY2D6C8A6.
AboutFourier transform
UsesFourier transform, Lp space, Lebesgue measure, Uncertainty principle in Fourier analysis, Poisson summation formula

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