Sensitivity, Affine Transforms and Quantum Communication Complexity
arXiv:1808.10191 · doi:10.1016/j.tcs.2020.05.048
Abstract
We study the Boolean function parameters sensitivity (), block sensitivity (), and alternation () under specially designed affine transforms. For a function $f:\F_2^n\to \{0,1\}$, and for $M \in \F_2^{n\times n}$ and $b\in \F_2^n$, the result of the transformation is defined as $\forall x\in\F_2^n, g(x)=f(Mx+b)$. We study alternation under linear shifts ( is the identity matrix) called the shift invariant alternation (denoted by ). We exhibit an explicit family of functions for which is . We show an affine transform , such that the corresponding function satisfies , using which we proving that for , the bounded error quantum communication complexity of with prior entanglement, . Our proof builds on ideas from Sherstov (2010) where we use specific properties of the above affine transformation. We show, * For a prime and , any with must satisfy . Here, denotes the degree of the multilinear polynomial of over $\F_p$. * For any such that there exists primes and with for , the deterministic communication complexity - and are polynomially related. In particular, this holds when . 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 , such that satisfies, . 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)].
19 pages, 1 figure. Added a new lower bound for shifted alternation (in Section 3) and an application to the existence of family of functions under linear transforms (in Section 5)