Stronger Cell Probe Lower Bounds via Local PRGs
Oliver Korten, Toniann Pitassi, Russell Impagliazzo
摘要
In this work we observe a tight connection between three topics: cryptography, range avoidance, and static data structure lower bounds. Using this connection, we leverage techniques from the cryptanalysis of PRGs to prove state-of-the-art results in the latter two subjects. Our main result is an improvement to the best known static data structure lower bounds, breaking a barrier which has stood for several decades. Prior to our work, the best known lower bound for any explicit problem with M inputs and N queries was for any setting of the word length w (where space and time) [1]. We prove, for the same class of explicit problems considered in [1], a quadratically stronger space lower bound of the form for all even . Second, for the restricted class of nonadaptive bit probe data structures, we improve on this lower bound polynomially: for all odd constants we give an explicit problem with N queries and inputs and prove a lower bound for some constant depending only on t. Our results build off of an exciting body of work on refuting semi-random CSPs (e.g., [2]–[4]). We then utilize our explicit cell probe lower bounds to obtain the best known unconditional algorithms for range avoidance: we can solve any instance with stretch in polynomial time once when t is even; with the aid of an NP oracle we can solve any instance with when t is odd for some constant . Finally, using our main correspondence we establish some barrier results for obtaining significant improvements to our cell probe lower bounds: (i) near-optimal space lower bounds for an explicit problem with implies ; (ii) under the widelybelieved assumption that polynomial-stretch PRGs exist, there is no natural proof of a lower bound of the form when .
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引用它的顶会 Paper2
- Range Avoidance, Arthur-Merlin, and TFNPSurendra Ghentiyala, Zeyong Li, Noah Stephens-DavidowitzSTOC 2026 · 被引用 2 次
- Cell-Probe Lower Bounds via Semi-Random CSP Refutation: Simplified and the Odd-Locality CaseVenkatesan Guruswami, Xin Lyu, Weiqiang YuanSODA 2026
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