For a Rademacher sum in a normed vector space, any two fixed positive moments of its norm are comparable with constants depending only on those moments. The sharp Rademacher second-moment inequality gives the sharp first-to-second moment comparison for arbitrary coefficients.
For and , the even-function spectral gap on a hypercube gives . A norming functional supplied by the Hahn-Banach theorem and convexity of the norm gives , because . Hence the Dirichlet form is at most , proving the inequality. Two equal scalar coefficients attain equality, so the constant is sharp.
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The Khintchine inequality is a result in mathematical analysis, particularly in the study of probability theory and functional analysis. It pertains to the properties of sums of independent random variables, specifically regarding their expected values and moments.