Derandomizing the Isolation Lemma and Lower Bounds for Circuit Size (0804.0957v2)

Abstract: The isolation lemma of Mulmuley et al \cite{MVV87} is an important tool in the design of randomized algorithms and has played an important role in several nontrivial complexity upper bounds. On the other hand, polynomial identity testing is a well-studied algorithmic problem with efficient randomized algorithms and the problem of obtaining efficient \emph{deterministic} identity tests has received a lot of attention recently. The goal of this note is to compare the isolation lemma with polynomial identity testing: 1. We show that derandomizing reasonably restricted versions of the isolation lemma implies circuit size lower bounds. We derive the circuit lower bounds by examining the connection between the isolation lemma and polynomial identity testing. We give a randomized polynomial-time identity test for noncommutative circuits of polynomial degree based on the isolation lemma. Using this result, we show that derandomizing the isolation lemma implies noncommutative circuit size lower bounds. The restricted versions of the isolation lemma we consider are natural and would suffice for the standard applications of the isolation lemma. 2. From the result of Klivans-Spielman \cite{KS01} we observe that there is a randomized polynomial-time identity test for commutative circuits of polynomial degree, also based on a more general isolation lemma for linear forms. Consequently, derandomization of (a suitable version of) this isolation lemma also implies circuit size lower bounds in the commutative setting.