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266 Boolean Analysis — Bonami

266.1 Overview

The degree-dependent Bonami inequality bounds the fourth moment by \(9^k\) times the squared second moment. The uniform probability measure connects this bound to reasonability of cube functions.

266.2 Declarations

Lemma 266.1 Degree-zero Boolean functions are constant
✓

Let \(f:\{ 0,1\} ^n\to \mathbb {R}\) be a Boolean function of degree at most \(0\); that is, every set \(S\) with nonzero Fourier–Walsh coefficient \(\hat f(S)\ne 0\) satisfies \(|S|\le 0\). Then \(f\) is constant: for every point \(x\in \{ 0,1\} ^n\) one has \(f(x)=f(x_0)\), where \(x_0\) is the all-\(\mathtt{false}\) point.

Lemma 266.2 Fourth moment of a degree-zero Boolean function
✓

Let \(f:\{ 0,1\} ^n\to \mathbb {R}\) be a Boolean function of degree at most \(0\), meaning that every set \(S\) with a nonzero Fourier coefficient \(\hat f(S)\ne 0\) satisfies \(|S|\le 0\). Then, with expectations taken under the uniform measure on \(\{ 0,1\} ^n\),

\[ \mathbb {E}[f^4] \; =\; \bigl(\mathbb {E}[f^2]\bigr)^2. \]
Lemma 266.3 Algebraic inductive step for the Bonami lemma
✓

Fix a natural number \(m\), and let \(a, b, B, C\) be nonnegative real numbers and \(A\) a real number satisfying \(A \le 9^{m+1} a^2\), \(B \le 9^m b^2\), and \(C^2 \le A B\). Then

\[ A + 6C + B \le 9^{m+1}\, (a+b)^2. \]

Let \(f : \{ 0,1\} ^n \to \mathbb {R}\) be a Boolean function of degree at most \(k\), meaning that every nonzero Fourier coefficient \(\hat f(S)\) is supported on a set \(S\) with \(|S| \le k\). Writing \(\mathbb {E}\) for the expectation under the uniform measure on \(\{ 0,1\} ^n\), we then have

\[ \mathbb {E}[f^4] \; \le \; 9^{k}\, \bigl(\mathbb {E}[f^2]\bigr)^2. \]
Lemma 266.5 Moments equal expectations under the uniform law
✓

Let \(f : \{ 0,1\} ^n \to \mathbb {R}\) be a Boolean function of arity \(n\), let \(p\) be a natural number, and let \(P\) be a probability measure on the Boolean hypercube \(\{ 0,1\} ^n\) that assigns to each singleton \(\{ x\} \) the uniform weight \(2^{-n}\). Then the \(p\)-th moment of \(f\) under \(P\) equals the expectation of \(f^p\) under the uniform measure:

\[ \int f^p \, dP \; =\; \mathbb {E}\! \left[f^p\right] \; =\; 2^{-n}\sum _{x\in \{ 0,1\} ^n} f(x)^p. \]
Definition 266.6 Uniform measure on the hypercube
✓

For every natural number \(n\), the uniform measure on the Boolean hypercube \(\{ 0,1\} ^n\) is the probability measure assigning mass \(2^{-n}\) to each point.

Lemma 266.7 Uniform measure of a single point of the hypercube
✓

Let \(n\) be a natural number and let \(x\) be a point of the Boolean hypercube \(\{ 0,1\} ^n\). Under the canonical uniform probability measure on \(\{ 0,1\} ^n\), the measure of the singleton \(\{ x\} \), taken as a real number, equals the uniform weight \(2^{-n}\).

Lemma 266.8 Bonami’s hypercontractivity lemma for low-degree functions
✓

Let \(f : \{ 0,1\} ^n \to \mathbb {R}\) be a Boolean function whose Fourier expansion has degree at most \(k\); that is, every nonzero Fourier coefficient \(\hat f(S)\) is supported on a set \(S\) with \(\left\lvert S\right\rvert \le k\). When \(\{ 0,1\} ^n\) is equipped with the uniform probability measure, \(f\) is \(9^k\)-reasonable: its fourth moment is controlled by the square of its second moment via

\[ \mathbb {E}[f^4] \le 9^k \bigl(\mathbb {E}[f^2]\bigr)^2 . \]