Functional Lower Bounds for Restricted Arithmetic Circuits of Depth Four
Publisher Information
- Conference: FSTTCS 2021, Pages 14:1-14:15 (LIPIcs, Vol 213)
Abstract
Recently, Forbes, Kumar and Saptharishi [CCC, 2016] proved that there exists an explicit -variate and degree polynomial such that if any depth four circuit of bounded formal degree which computes a polynomial of bounded individual degree , that is functionally equivalent to , then must have size .
The motivation for their work comes from Boolean Circuit Complexity. Based on a characterization for circuits by Yao [FOCS, 1985] and Beigel and Tarui [CC, 1994], Forbes, Kumar and Saptharishi [CCC, 2016] observed that functions in can also be computed by algebraic circuits (i.e., circuits of the form – sums of powers of polynomials) of size. Thus they argued that a functional lower bound for an explicit polynomial against circuits would imply a lower bound for the corresponding Boolean function of against non-uniform . In their work, they ask if their lower bound be extended to circuits.
In this paper, for large integers and such that , we show that any circuit of bounded individual degree at most that functionally computes Iterated Matrix Multiplication polynomial () over must have size . Since Iterated Matrix Multiplication over is functionally in , improvement of the afore mentioned lower bound to hold for quasipolynomially large values of individual degree would imply a fine-grained separation of from .
For the sake of completeness, we also show a syntactic size lower bound against any circuit computing (for the same regime of ) which is tight over large fields. Like Forbes, Kumar and Saptharishi [CCC, 2016], we too prove lower bounds against circuits of bounded formal degree which functionally compute , for a slightly larger range of individual degree.