Exponential lower bound via exponential sums
Somnath Bhattacharjee, Markus Bl\"aser, Pranjal Dutta, Saswata Mukherjee

TL;DR
This paper explores the complexity of exponential sums of algebraic circuits, showing that under the Shub-Smale τ-conjecture, such sums require exponential-size circuits, and connects these bounds to broader complexity class implications.
Contribution
It demonstrates the first explicit exponential lower bounds for exponential sums assuming the τ-conjecture and links these bounds to collapses in the counting hierarchy.
Findings
Exponential sums of algebraic circuits require exponential-size circuits under the τ-conjecture.
Assuming the conjecture, fpt algorithms imply collapses in the linear counting hierarchy.
Characterization of VW[F] class via permanents and exponential sums over specific cycle covers.
Abstract
Valiant's famous VP vs. VNP conjecture states that the symbolic permanent polynomial does not have polynomial-size algebraic circuits. However, the best upper bound on the size of the circuits computing the permanent is exponential. Informally, VNP is an exponential sum of VP-circuits. In this paper we study whether, in general, exponential sums (of algebraic circuits) require exponential-size algebraic circuits. We show that the famous Shub-Smale -conjecture indeed implies such an exponential lower bound for an exponential sum. Our main tools come from parameterized complexity. Along the way, we also prove an exponential fpt (fixed-parameter tractable) lower bound for the parameterized algebraic complexity class VW[P], assuming the same conjecture. VW[P] can be thought of as the weighted sums of (unbounded-degree) circuits, where only constants are…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Limits and Structures in Graph Theory
