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Sharp Poincare bound for the uniform law on an interval
Statement
Assume Countable Choice and Dependent Choice. Let with , let be absolutely continuous, and suppose . Let have the uniform law . Then
Facts & Assumptions
Given: Countable Choice, Dependent Choice, , an absolutely continuous with square-integrable derivative, and the probability law of specified in the Statement.
The Axiom of Countable Choice (): every sequence of nonempty sets has a choice function.
The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain: for a nonempty set , an entire relation on , and , there is with and for every .
Absolute continuity on a compact interval: absolute continuity on a compact interval controls sums of endpoint increments on finite disjoint interval families.
Integration by parts for absolutely continuous functions: under Countable and Dependent Choice, absolutely continuous functions satisfy integration by parts.
The one-dimensional torus and its normalized Haar integral: the circle is integrated over a period interval with normalized Lebesgue measure.
The Fourier basis and Parseval's identity on the finite torus: under Countable Choice, Fourier characters form a complete orthonormal basis on the one-dimensional torus and Parseval holds in .
Moments, variance, and covariance on a probability space: variance is the centered second moment.
Proof
Given: The hypotheses, axioms [A1]–[A2], and facts [F1]–[F5].
Let and for . Define for and for , then extend periodically to . The two absolutely continuous pieces match at , and . A finite paste of absolutely continuous pieces with matching endpoint values is absolutely continuous: split every interval crossing the junction into its at most two pieces and apply [F1] on each piece with half the error tolerance. Thus is absolutely continuous on the period interval. Its mean is zero, , and affine changes of variables give .
For each integer , apply integration by parts [F2] to on , taking real and imaginary parts. The boundary term vanishes since and , giving . Parseval [F4] and the zero mean in step 1.1 yield Substituting the two norm identities from step 1.1 and dividing by proves the claimed bound. Equality holds for : its mean is zero, its variance is , and its derivative second moment is . Hence the constant is sharp.
Depends on
- Absolute continuity on a compact interval
- Integration by parts for absolutely continuous functions
- The one-dimensional torus and its normalized Haar integral
- The Fourier basis and Parseval's identity on the finite torus
- Moments, variance, and covariance on a probability space
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The axiom of dependent choice: a relation in which every element is related to something admits an $\mathbb{N}$-indexed chain
Used by
Dependency tree · two levels
81 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
- Matieyendou Lamboni, Bertrand Iooss, Anne-Laure Popelin, and Fabrice Gamboa, Derivative-based global sensitivity measures: general links with Sobol' indices and numerical tests, §3 (standard reference, not scraped)
- I.M. Sobol' and S. Kucherenko, Derivative based global sensitivity measures and their link with global sensitivity indices, §4, Theorem 2 (standard reference, not scraped)