Average-Case Rigidity Lower Bounds

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Abstract

It is shown that there exists f: { 0, 1 } n/2× { 0, 1 } n/2→ { 0, 1 } in E NP such that for every 2 n/2× 2 n/2 matrix M of rank ≤ ρ we have Px,y[ f(x, y) ≠ Mx,y] ≥ 1 / 2 - 2 -Ω(k), whenever log ρ≤ δn/ k(log n+ k) for a sufficiently small δ> 0, and n is large enough. This generalizes recent results which bound below the probability by 1 / 2 - Ω(1 ) or apply to constant-depth circuits.

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APA

Huang, X., & Viola, E. (2021). Average-Case Rigidity Lower Bounds. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12730 LNCS, pp. 186–205). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-79416-3_11

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