New Algorithms and Hardness Results for Robust Satisfiability of (Promise) CSPs
Joshua Brakensiek, Lorenzo Ciardo, Venkatesan Guruswami, Aaron Potechin, Stanislav Zivný
Abstract
In this paper, we continue the study of robust satisfiability of promise CSPs (PCSPs), initiated in (Brakensiek, Guruswami, Sandeep, STOC 2023 / Discrete Analysis 2025), and obtain the following results:
• For the PCSP 1-in-3-SAT vs NAE-SAT with negations, we prove that it is hard, under the Unique Games conjecture (UGC), to satisfy 1 -Ω(1/ log(1/ϵ)) constraints in a (1 -ϵ)-satisfiable instance. This shows that the exponential loss incurred by the BGS algorithm for the case of Alternating-Threshold polymorphisms is necessary, in contrast to the polynomial loss achievable for Majority polymorphisms.
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- SDPs and Robust Satisfiability of Promise CSPJoshua Brakensiek, Venkatesan Guruswami, Sai SandeepSTOC 2023 · 8 citations
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