Correlation with quadratic forms through rectangles #
The correlation of two sets of inputs S and T is the fraction of inputs on which membership in
S and in T agree, minus the fraction on which it differs: in terms of the agreement of the
frontier method, correlation S T = 2 · agreement S T - 1
(Cslib.Circuits.Frontier.correlation_eq_two_mul_agreement_sub_one). For Boolean functions f
and g it is E[(-1)^{f + g}].
Quadratic forms are balanced on rectangles (sq_signedCount_quadForm_rectangle_mul_le). Let
S be the set where the quadratic form of a matrix Q over 𝔽₂ is true, and cut the coordinates
into X and Xᶜ. On an input glued from a part p on X and a part q off X, the form is a
form in p, plus a form in q, plus the bilinear pairing p ⬝ᵥ C q of the block C of the polar
matrix Q + Qᵀ with rows X and columns Xᶜ, whose rank is the cut rank ρ(X). Lindsey's lemma
then bounds the signed count of S on every rectangle R for the cut X:
signedCount S R ² · 2^{ρ(X)} ≤ |R| · 2^n.
Correlation through rectangle classes (sq_correlation_quadForm_mul_le). Partition the inputs
into classes on which membership in T is constant and each of which is a rectangle for the cut
X. Lindsey's lemma on every class and Cauchy–Schwarz over the classes give
correlation S T ² · 2^{ρ(X)} ≤ #classes.
Main results #
Cslib.Circuits.Frontier.sq_signedCount_quadForm_rectangle_mul_le: quadratic forms are balanced on rectangles of large cut rank.Cslib.Circuits.Frontier.sq_correlation_quadForm_mul_le: correlation through rectangle classes.
References #
Quadratic forms on rectangles #
Quadratic forms are balanced on rectangles. Let S be the set where the quadratic form of
Q over 𝔽₂ is true. On every rectangle R for the cut X, the signed count of S satisfies
signedCount S R ² · 2^{ρ(X)} ≤ |R| · 2^n, where ρ(X) is the cut rank of the polar matrix
Q + Qᵀ at X.
On an input glued from p on X and q off X, the sign of the form is the sign of a form in
p, times the sign of a form in q, times the sign of the pairing of p and q through the
block of Q + Qᵀ with rows X and columns Xᶜ; this is Lindsey's lemma for that block.
Correlation through rectangle classes. Let S be the set where the quadratic form of Q
over 𝔽₂ is true. Let membership in T be constant on the classes of msg, and let every class
be a rectangle for the cut X. Then
correlation S T ² · 2^{ρ(X)} ≤ #classes,
where ρ(X) is the cut rank of the polar matrix Q + Qᵀ at X. This is Lindsey's lemma on each
class and Cauchy–Schwarz over the classes.