Symmetric Exponential Time Requires Near-Maximum Circuit Size: Simplified, Truly Uniform
Zeyong Li

TL;DR
This paper proves that symmetric exponential time classes require near-maximum circuit size by developing a simplified, uniform algorithm for the Range Avoidance Problem, leading to significant circuit lower bounds and pseudodeterministic constructions.
Contribution
It introduces a simple, uniform $ extsf{FS}_2P$ algorithm for the Range Avoidance Problem that works for all input sizes, establishing new circuit lower bounds and pseudodeterministic results.
Findings
Proves $ extsf{S}_2E ot ot i extsf{SIZE}[2^n/n]$ for all input sizes.
Establishes almost-everywhere near-maximum circuit lower bounds for certain complexity classes.
Provides pseudodeterministic constructions for various combinatorial objects.
Abstract
In a recent breakthrough, Chen, Hirahara and Ren prove that by giving a single-valued algorithm for the Range Avoidance Problem () that works for infinitely many input size . Building on their work, we present a simple single-valued algorithm for that works for all input size . As a result, we obtain the circuit lower bound - and many other corollaries: 1. Almost-everywhere near-maximum circuit lower bound for and . 2. Pseudodeterministic constructions for: Ramsey graphs, rigid matrices, pseudorandom generators, two-source extractors, linear codes, hard truth tables, and -random strings.
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Computability, Logic, AI Algorithms · Limits and Structures in Graph Theory
