Sensitivity, Affine Transforms and Quantum Communication Complexity

Abstract

FWe study the Boolean function parameters sensitivity (s), block sensitivity (bs), and alternation (alt) under specially designed affine transforms. For a function f:2n \0,1\, and A=Mx+b for M ∈ 2n× n and b∈ 2n, the result of the transformation g is defined as ∀ x∈2n, g(x)=f(Mx+b). We study alternation under linear shifts (M is the identity matrix) called the shift invariant alternation (denoted by salt(f)). We exhibit an explicit family of functions for which salt(f) is 2(s(f)). We show an affine transform A, such that the corresponding function g satisfies bs(f,0n) s(g), using which we proving that for F(x,y)=f(x y), the bounded error quantum communication complexity of F with prior entanglement, Q*1/3(F)=(bs(f,0n)). Our proof builds on ideas from Sherstov (2010) where we use specific properties of the above affine transformation. We show, * For a prime p and 0<ε<1, any f with degp(f)(1-ε) n must satisfy Q*1/3(F) = (nε/2 n). Here, degp(f) denotes the degree of the multilinear polynomial of f over p. * For any f such that there exists primes p and q with degq(f) (degp(f)δ) for δ > 2, the deterministic communication complexity - D(F) and Q*1/3(F) are polynomially related. In particular, this holds when degp(f) = O(1). Thus, for this class of functions, this answers an open question (see Buhrman and deWolf (2001)) about the relation between the two measures. We construct linear transformation A, such that g satisfies, alt(f) 2s(g)+1. Using this, we exhibit a family of Boolean functions that rule out a potential approach to settle the XOR Log-Rank conjecture via a proof of Sensitivity conjecture [Hao Huang (2019)].

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