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Towards polynomial lower bounds for dynamic problems

2010/06/05 by Mihai Pǎtraşcu · 7 citations
Computer Science · Mathematics · #Advanced Graph Theory Research #Combinatorics #Complexity and Algorithms in Graphs #Computer science #Conjecture #Discrete mathematics #Dynamic problem #Graph #Logarithm #Mathematical optimization #Mathematics #Modular design #Optimization and Search Problems #Reduction (mathematics) #Set (abstract data type) #Time complexity #Upper and lower bounds

paper · doi:10.1145/1806689.1806772

openalex publication_date 2010/06/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

We consider a number of dynamic problems with no known poly-logarithmic upper bounds, and show that they require nΩ(1) time per operation, unless 3SUM has strongly subquadratic algorithms. Our result is modular: (1) We describe a carefully-chosen dynamic version of set disjointness (the "multiphase problem"), and conjecture that it requires nOmega(1) time per operation. All our lower bounds follow by easy reduction. (2) We reduce 3SUM to the multiphase problem. Ours is the first nonalgebraic reduction from 3SUM, and allows 3SUM-hardness results for combinatorial problems. For instance, it implies hardness of reporting all triangles in a graph. (3) It is plausible that an unconditional lower bound for the multiphase problem can be established via a number-on-forehead communication game.

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