Functional lower bounds for arithmetic circuits and connections to boolean circuit complexity
Michael A. Forbes, Mrinal Kumar, Ramprasad Saptharishi

TL;DR
This paper establishes exponential lower bounds for homogeneous depth-3 and depth-4 arithmetic circuits computing certain polynomials in VNP, using new complexity measures, with implications for boolean circuit complexity and separation of complexity classes.
Contribution
It introduces new exponential lower bounds for homogeneous depth-3 and depth-4 arithmetic circuits for polynomials in VNP, and develops the shifted evaluation dimension as a novel complexity measure.
Findings
Exponential lower bounds for depth-3 circuits in VNP.
Exponential lower bounds for depth-4 circuits with bounded degree in VNP.
Implications for boolean circuit complexity and class separations.
Abstract
We say that a circuit over a field functionally computes an -variate polynomial if for every we have that . This is in contrast to syntactically computing , when as formal polynomials. In this paper, we study the question of proving lower bounds for homogeneous depth- and depth- arithmetic circuits for functional computation. We prove the following results : 1. Exponential lower bounds homogeneous depth- arithmetic circuits for a polynomial in . 2. Exponential lower bounds for homogeneous depth- arithmetic circuits with bounded individual degree for a polynomial in . Our main motivation for this line of research comes from our observation that strong enough functional lower bounds for even very special depth- arithmetic circuits for the Permanent imply a separation between and .…
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