310 Boolean Analysis — Basic
310.1 Overview
Orthogonal projections, conditional expectation, and product noise satisfy finite spectral identities. Weighted moment contraction and energy decompositions provide approximation criteria for Boolean juntas.
310.2 Declarations
For finite subsets \(S,J\) of a set and a real function \(g\) on finite subsets, if \(S\nsubseteq J\) then \(\sum _{T\subseteq S}(-1)^{|S|-|T|}g(T\cap J)=0\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(J,S\subseteq [n]\), \(f:\Omega \to \mathbb R\), and \(x\in \Omega \). Then \(E_J(f_S)(x)=f_S(x)\) if \(S\subseteq J\), and \(E_J(f_S)(x)=0\) otherwise.
For a finite set \(U\) and a real function \(g\) on finite subsets, \(\sum _{S\subseteq U}\sum _{T\subseteq S}(-1)^{|S|-|T|}g(T)=g(U)\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(S,T\subseteq [n]\), \(f:\Omega \to \mathbb R\), and \(x\in \Omega \). The \(S\)-component of \(f_T\) equals \(f_S(x)\) when \(S=T\), and equals zero otherwise.
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(S\subseteq [n]\), \(\rho \in \mathbb R\), and \(f:\Omega \to \mathbb R\). The \(S\)-component of \(T_\rho f\) is \(\rho ^{|S|}f_S\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\) and \(f:\Omega \to \mathbb R\). Its orthogonal components satisfy \(\sum _{S\subseteq [n]}f_S(x)=f(x)\) for every \(x\in \Omega \).
Let \(s\) be finite, let \(w_i\ge 0\) for \(i\in s\) satisfy \(\sum _{i\in s}w_i=1\), and let \(F_i\in \mathbb R\) and \(q\ge 1\). Then \(|\sum _{i\in s}w_iF_i|^q\le \sum _{i\in s}w_i|F_i|^q\).
Let \(s\) be finite with weights \(w_i\ge 0\) summing to \(1\), values \(F_i\in \mathbb R\), \(q\gt 0\), and \(0\le c\le 1\). If \(|1-cz|^q\le |1+z|^q-q(1+c)z\) for every real \(z\), then with \(a=\sum _{i\in s}w_iF_i\), \(\sum _{i\in s}w_i|a-c(F_i-a)|^q\le \sum _{i\in s}w_i|F_i|^q\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(J\subseteq [n]\), \(f:\Omega \to \mathbb R\), \(q\gt 0\), and \(0\le c\le 1\). If \(|1-cz|^q\le |1+z|^q-q(1+c)z\) for every real \(z\), then \(\mathbb E_P|E_Jf-c(f-E_Jf)|^q\le \mathbb E_P|f|^q\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(J\subseteq [n]\), \(f:\Omega \to \mathbb R\), and \(q\ge 1\). Then \(\mathbb E_P|E_Jf|^q\le \mathbb E_P|f|^q\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(k\in \mathbb N\), \(f:\Omega \to \mathbb R\) of degree at most \(k\), and \(c\in \mathbb R\). Then \(x\mapsto f(x)-c\) has degree at most \(k\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(f:\Omega \to \mathbb R\) of degree at most \(k\in \mathbb N\), and \(\operatorname {Var}_P(f)\gt 0\). Then \(k\gt 0\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\) and \(f:\Omega \to \mathbb R\) with orthogonal components \(f_S\). Then \(\operatorname {Var}_P(f)=\sum _{\varnothing \ne S\subseteq [n]}\mathbb E_Pf_S^2\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(J,S\subseteq [n]\), and \(f:\Omega \to \mathbb R\). The \(S\)-component of \(E_Jf\) equals \(f_S\) when \(S\subseteq J\), and zero otherwise.
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(f:\Omega \to \mathbb R\), a coordinate \(i\), and \(S\subseteq [n]\). The \(S\)-component of \(L_if\) is \(f_S\) if \(i\in S\), and zero otherwise.
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(f:\Omega \to \mathbb R\), and a coordinate \(i\). Then \(I_i(f)=\sum _{S\ni i}\mathbb E_Pf_S^2\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\) and \(f:\Omega \to \mathbb R\). Then \(I(f)=\sum _{S\subseteq [n]}|S|\mathbb E_Pf_S^2\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\) and \(f:\Omega \to \{ -1,1\} \). Then \(\operatorname {Var}_P(f)\le 1\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(J\subseteq [n]\), and \(f:\Omega \to \mathbb R\). Then \(\mathbb E_P(f-E_Jf)^2=\sum _{S\nsubseteq J}\mathbb E_Pf_S^2\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(f:\Omega \to \mathbb R\), and \(k\in \mathbb N\). Then \((k+1)\sum _{|S|\gt k}\mathbb E_Pf_S^2\le I(f)\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(f:\Omega \to \{ -1,1\} \), \(J\subseteq [n]\), \(k\in \mathbb N\), and \(a,b\in \mathbb R\). If \(\sum _{|S|\gt k}\mathbb E_Pf_S^2\le a\) and \(\sum _{|S|\le k,\ S\nsubseteq J}\mathbb E_Pf_S^2\le b\), then there exists \(g:\Omega \to \{ -1,1\} \) depending only on \(J\) with \(\Pr _P(f\ne g)\le a+b\).