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The n-dimensional Heisenberg uncertainty inequality
Statement
Assume Countable Choice. Let and let satisfy . Write for its Plancherel transform. Then The Fourier characterization of makes this exactly the domain where both spatial and Plancherel-frequency second moments are finite. For both sides vanish. Equality cases on this full domain are not decided here; the published sharp equality theorem is stated for Schwartz functions.
Facts & Assumptions
Given: Countable Choice, , with , its weak derivatives , and its Plancherel transform .
Countable Choice is the hypothesis carried by the Sobolev, multiplier, and Plancherel interfaces below (The Axiom of Countable Choice ()).
The integer-order Fourier characterization identifies with and hence supplies every (Integer-order W^{k,2} and H^k agree with equivalent norms).
For a weak derivative in , almost everywhere (Distributional derivatives are polynomial Fourier multipliers).
Plancherel is a complex-linear isometry on (Plancherel theorem).
Cauchy–Schwarz for finite tuples in complex gives for nonnegative real (Complex completeness, density, and inner product: the consumer interface).
The coordinate estimate holds on this -with-finite-spatial-moment domain (The coordinate inequality ).
Proof
Fix . By [F1] the weak derivative is in , and by [F2]–[F3] Applying the coordinate estimate [F5] and dividing by yields
Summing the inequalities of step 1.1 gives By [F4] the left side is at most where the equalities follow by summing the coordinate integrals. This proves the asserted inequality, including .
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Complex completeness, density, and inner product: the consumer interface
- The coordinate inequality $\|x_jf\|_2\|D_jf\|_2\ge\frac12\|f\|_2^2$
- Distributional derivatives are polynomial Fourier multipliers
- Integer-order W^{k,2} and H^k agree with equivalent norms
- Plancherel theorem
Used by
Dependency tree · two levels
43 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Calder Sheagren, Uncertainty Principles with Fourier Analysis (University of Chicago REU 2017, author PDF) (standard reference, not scraped)
- Richard S. Laugesen, Harmonic Analysis Lecture Notes (arXiv:0903.3845) (standard reference, not scraped)