285 Boolean Analysis — Applications
285.1 Overview
Finite-product hypercontractivity bounds the stability of small events and the stable influences of Boolean functions. Quantitative KKL inequalities and Friedgut junta approximation follow with explicit dependence on the minimum atom mass.
285.2 Declarations
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(c\in \mathbb R\), and \(f:\Omega \to \mathbb R\). Then \(\operatorname {Stab}_{c^2}(f)=\| T_cf\| _{2,P}^2\). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(h_S=\sum _{U\subseteq S}(-1)^{|S|-|U|}E_Uh\) for \(S\subseteq [n]\) (the Hoeffding–Efron–Stein components); \(T_a h=\sum _{S\subseteq [n]}a^{|S|}h_S\) for every real rate \(a\); \(\| h\| _{p,P}=(\mathbb E_P|h|^p)^{1/p}\) for \(p\gt 0\); \(\operatorname {Stab}_a(h)=\mathbb E_P[hT_a h]\). The powers indexed by subset cardinalities are natural powers, including \(0^0=1\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), an event \(A\subseteq \Omega \), and \(p\gt 0\). Then \(\| \mathbf1_A\| _{p,P}^2=\Pr _P(A)^{2/p}\). For a real function \(h\) on \(\Omega \), use \(\| h\| _{p,P}=(\mathbb E_P|h|^p)^{1/p}\) for \(p\gt 0\); \(\Pr _P(A)=\mathbb E_P\mathbf1_A\), where \(\mathbf1_A\) is \(1\) on \(A\) and \(0\) elsewhere.
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\) with every coordinate atom at least \(0\lt \lambda \le 1\), and let \(q\ge 2\) and \(0\le \rho \le \lambda ^{1-2/q}/(q-1)\). For every event \(A\subseteq \Omega \), \(\operatorname {Stab}_\rho (\mathbf1_A)\le \Pr _P(A)^{2-2/q}\). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(h_S=\sum _{U\subseteq S}(-1)^{|S|-|U|}E_Uh\) for \(S\subseteq [n]\) (the Hoeffding–Efron–Stein components); \(T_a h=\sum _{S\subseteq [n]}a^{|S|}h_S\) for every real rate \(a\); \(\operatorname {Stab}_a(h)=\mathbb E_P[hT_a h]\); \(\Pr _P(A)=\mathbb E_P\mathbf1_A\), where \(\mathbf1_A\) is \(1\) on \(A\) and \(0\) elsewhere. The powers indexed by subset cardinalities are natural powers, including \(0^0=1\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(\rho \ge 0\), a coordinate \(i\), and \(f:\Omega \to \mathbb R\). Then \(\rho I_i^{(\rho )}(f)=\| T_{\sqrt\rho }L_if\| _{2,P}^2\), where \(I_i^{(\rho )}\) is stable influence and \(L_i\) is the coordinate Laplacian. For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(h_S=\sum _{U\subseteq S}(-1)^{|S|-|U|}E_Uh\) for \(S\subseteq [n]\) (the Hoeffding–Efron–Stein components); \(T_a h=\sum _{S\subseteq [n]}a^{|S|}h_S\) for every real rate \(a\); \(\| h\| _{p,P}=(\mathbb E_P|h|^p)^{1/p}\) for \(p\gt 0\); \(L_i h=h-E_{[n]\setminus \{ i\} }h\); \(I_i^{(a)}(h)=\sum _{S\ni i}a^{|S|-1}\mathbb E_Ph_S^2\) for \(a\in \mathbb R\). The powers indexed by subset cardinalities are natural powers, including \(0^0=1\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(f:\Omega \to \{ -1,1\} \), and \(S\subseteq [n]\). For conditional expectation \(E_S\) onto \(S\), \(\mathbb E_P|f-E_Sf|=\mathbb E_P(f-E_Sf)^2\). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(f:\Omega \to \{ -1,1\} \), a coordinate \(i\), and \(1\le p\le 2\). Then \(\mathbb E_P|L_if|^p\le I_i(f)\). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(L_i h=h-E_{[n]\setminus \{ i\} }h\); \(I_i(h)=\mathbb E_P(h-E_{[n]\setminus \{ i\} }h)^2\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), \(q\ge 2\), \(\rho \ge 0\), \(f:\Omega \to \{ -1,1\} \), and a coordinate \(i\). If \(\| T_{\sqrt\rho }L_if\| _{2,P}\le \| L_if\| _{q/(q-1),P}\), then \(\rho I_i^{(\rho )}(f)\le I_i(f)^{2-2/q}\). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(h_S=\sum _{U\subseteq S}(-1)^{|S|-|U|}E_Uh\) for \(S\subseteq [n]\) (the Hoeffding–Efron–Stein components); \(T_a h=\sum _{S\subseteq [n]}a^{|S|}h_S\) for every real rate \(a\); \(\| h\| _{p,P}=(\mathbb E_P|h|^p)^{1/p}\) for \(p\gt 0\); \(L_i h=h-E_{[n]\setminus \{ i\} }h\); \(I_i(h)=\mathbb E_P(h-E_{[n]\setminus \{ i\} }h)^2\); \(I_i^{(a)}(h)=\sum _{S\ni i}a^{|S|-1}\mathbb E_Ph_S^2\) for \(a\in \mathbb R\). The powers indexed by subset cardinalities are natural powers, including \(0^0=1\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\) with every coordinate atom at least \(0\lt \lambda \le 1\), and let \(q\ge 2\) and \(0\le \rho \le \lambda ^{1-2/q}/(q-1)\). For every \(f:\Omega \to \{ -1,1\} \) and coordinate \(i\), \(\rho I_i^{(\rho )}(f)\le I_i(f)^{2-2/q}\). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(h_S=\sum _{U\subseteq S}(-1)^{|S|-|U|}E_Uh\) for \(S\subseteq [n]\) (the Hoeffding–Efron–Stein components); \(I_i(h)=\mathbb E_P(h-E_{[n]\setminus \{ i\} }h)^2\); \(I_i^{(a)}(h)=\sum _{S\ni i}a^{|S|-1}\mathbb E_Ph_S^2\) for \(a\in \mathbb R\). The powers indexed by subset cardinalities are natural powers, including \(0^0=1\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\) with every coordinate atom at least \(0\lt \lambda \le 1\). For every \(f:\Omega \to \{ -1,1\} \) and coordinate \(i\), \(\sum _{S\ni i}(\sqrt\lambda /3)^{|S|}\mathbb E_Pf_S^2\le I_i(f)^{3/2}\). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(h_S=\sum _{U\subseteq S}(-1)^{|S|-|U|}E_Uh\) for \(S\subseteq [n]\) (the Hoeffding–Efron–Stein components); \(I_i(h)=\mathbb E_P(h-E_{[n]\setminus \{ i\} }h)^2\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\) with every coordinate atom at least \(0\lt \lambda \le 1/2\). If \(f:\Omega \to \{ -1,1\} \) has positive variance and \(a=I(f)/\operatorname {Var}_P(f)\), there is a coordinate \(i\) such that \((a^{-1})^2(9/\lambda )^{-a}\le I_i(f)\). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(h_S=\sum _{U\subseteq S}(-1)^{|S|-|U|}E_Uh\) for \(S\subseteq [n]\) (the Hoeffding–Efron–Stein components); \(I_i(h)=\mathbb E_P(h-E_{[n]\setminus \{ i\} }h)^2\); \(I(h)=\sum _{i=0}^{n-1}I_i(h)=\sum _{S\subseteq [n]}|S|\mathbb E_Ph_S^2\); \(\operatorname {Var}_P(h)=\mathbb E_P(h-\mathbb E_Ph)^2\).
There is an absolute \(c\gt 0\) such that for every \(n\ge 2\), every product \(P\) of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), with every coordinate atom at least \(0\lt \lambda \le 1/2\), and every \(f:\Omega \to \{ -1,1\} \), some coordinate \(i\) satisfies \(c\operatorname {Var}_P(f)\log n/(n\log (1/\lambda ))\le I_i(f)\). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(I_i(h)=\mathbb E_P(h-E_{[n]\setminus \{ i\} }h)^2\); \(\operatorname {Var}_P(h)=\mathbb E_P(h-\mathbb E_Ph)^2\).
There is an absolute \(C\gt 0\) such that for every product \(P\) of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\), with every coordinate atom at least \(0\lt \lambda \le 1/2\), every \(f:\Omega \to \{ -1,1\} \), and every \(0\lt \varepsilon \le 1\), there exist \(J\subseteq [n]\) and \(g:\Omega \to \{ -1,1\} \) depending only on \(J\) with \(|J|\le (1/\lambda )^{CI(f)/\varepsilon }\) and \(\Pr _P(f\ne g)\le \varepsilon \). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(h_S=\sum _{U\subseteq S}(-1)^{|S|-|U|}E_Uh\) for \(S\subseteq [n]\) (the Hoeffding–Efron–Stein components); \(I_i(h)=\mathbb E_P(h-E_{[n]\setminus \{ i\} }h)^2\); \(I(h)=\sum _{i=0}^{n-1}I_i(h)=\sum _{S\subseteq [n]}|S|\mathbb E_Ph_S^2\); \(\Pr _P(A)=\mathbb E_P\mathbf1_A\), where \(\mathbf1_A\) is \(1\) on \(A\) and \(0\) elsewhere.
For every real \(\lambda \), define \(C_\lambda =\begin{cases} e,& \lambda =1/2,\\ ((1-\lambda )/\lambda )^{1/(2(1-2\lambda ))},& \lambda \ne 1/2.\end{cases}\). Then \(\lim _{\lambda \to 0^+}C_\lambda \sqrt\lambda =1\).
For every real \(\lambda \), define \(C_\lambda =\begin{cases} e,& \lambda =1/2,\\ ((1-\lambda )/\lambda )^{1/(2(1-2\lambda ))},& \lambda \ne 1/2.\end{cases}\). Then \(\lim _{\lambda \to (1/2)^-,\ 0\lt \lambda \lt 1/2}C_\lambda =e\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\) with every coordinate atom at least \(0\lt \lambda \lt 1/2\), and let \(q\gt 2\). Define \(r_q(\lambda )=\sqrt{\frac{\sinh (\log ((1-\lambda )/\lambda )/q)}{\sinh (\log ((1-\lambda )/\lambda )/(q/(q-1)))}}\); if \(0\le \rho \le r_q(\lambda )^2\), then \(\operatorname {Stab}_\rho (\mathbf1_A)\le \Pr _P(A)^{2-2/q}\) for every event \(A\subseteq \Omega \). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(h_S=\sum _{U\subseteq S}(-1)^{|S|-|U|}E_Uh\) for \(S\subseteq [n]\) (the Hoeffding–Efron–Stein components); \(T_a h=\sum _{S\subseteq [n]}a^{|S|}h_S\) for every real rate \(a\); \(\operatorname {Stab}_a(h)=\mathbb E_P[hT_a h]\); \(\Pr _P(A)=\mathbb E_P\mathbf1_A\), where \(\mathbf1_A\) is \(1\) on \(A\) and \(0\) elsewhere. The powers indexed by subset cardinalities are natural powers, including \(0^0=1\).
Let \(P\) be a product of \(n\) finite probability spaces with strictly positive atom masses and outcome space \(\Omega =\prod _i\Omega _i\) with every coordinate atom at least \(0\lt \lambda \lt 1/2\), and let \(q\gt 2\). Define \(r_q(\lambda )=\sqrt{\frac{\sinh (\log ((1-\lambda )/\lambda )/q)}{\sinh (\log ((1-\lambda )/\lambda )/(q/(q-1)))}}\); if \(0\le \rho \le r_q(\lambda )^2\), then \(\rho I_i^{(\rho )}(f)\le I_i(f)^{2-2/q}\) for every \(f:\Omega \to \{ -1,1\} \) and coordinate \(i\). For a real function \(h\) on \(\Omega \), use \(E_Uh(x)=\mathbb E_P[h(X)\mid X_U=x_U]\) for \(X\sim P\) and \(U\subseteq [n]\); \(h_S=\sum _{U\subseteq S}(-1)^{|S|-|U|}E_Uh\) for \(S\subseteq [n]\) (the Hoeffding–Efron–Stein components); \(I_i(h)=\mathbb E_P(h-E_{[n]\setminus \{ i\} }h)^2\); \(I_i^{(a)}(h)=\sum _{S\ni i}a^{|S|-1}\mathbb E_Ph_S^2\) for \(a\in \mathbb R\). The powers indexed by subset cardinalities are natural powers, including \(0^0=1\).