Use normalized Fourier-Walsh transform coefficients . The Hamming weight counts the nonzero coordinates. Norms on the input cube use uniform probability, and a frequency integral here is counting over . A common alternative normalization multiplies both sides of the requested comparison by the same factor and does not change it.
Beckner's inequality states that for and , the noise operator on the Boolean hypercube, with coefficients , satisfies . In particular choose , , .
Let and . Then . On frequencies of weight at most two, , so Beckner's inequality and Parseval's identity give the low-degree Fourier mass of a sparse Boolean set estimate
The indicator function is real and the cube characters are real, so the displayed squares equal the squared absolute values. Total Fourier weight is . If , then and , since . Therefore
This establishes the strict comparison for every power , not merely for an unspecified very large threshold. The original PDF supplies the density condition and Beckner request, both missing from the converted TeX.