TL;DR
This paper proves exponential lower bounds for symmetric arithmetic circuits computing the determinant under a more stringent symmetry restriction, advancing understanding of computational complexity in symmetric models.
Contribution
It introduces a new framework with support theorems and bijection games to establish lower bounds for symmetric circuits with restricted symmetries, specifically for the determinant.
Findings
Exponential lower bounds for symmetric circuits computing the determinant.
Development of a new support theorem and bijection games for lower bound proofs.
Application of the framework to matrices based on the CFI graph construction.
Abstract
Dawar and Wilsenach (ICALP 2020) introduce the model of symmetric arithmetic circuits and show an exponential separation between the sizes of symmetric circuits for computing the determinant and the permanent. The symmetry restriction is that the circuits which take a matrix input are unchanged by a permutation applied simultaneously to the rows and columns of the matrix. Under such restrictions we have polynomial-size circuits for computing the determinant but no subexponential size circuits for the permanent. Here, we consider a more stringent symmetry requirement, namely that the circuits are unchanged by arbitrary even permutations applied separately to rows and columns, and prove an exponential lower bound even for circuits computing the determinant. The result requires substantial new machinery. We develop a general framework for proving lower bounds for symmetric circuits with…
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Videos
Lower Bounds for Symmetric Circuits for the Determinant· youtube
