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https://dx.doi.org/10.48550/ar...
Article . 2024
License: CC BY
Data sources: Datacite
DBLP
Preprint . 2024
Data sources: DBLP
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Testing Sumsets is Hard

Authors: Chen, Xi; Nadimpalli, Shivam; Randolph, Tim; Servedio, Rocco A.; Zamir, Or;

Testing Sumsets is Hard

Abstract

A subset $S$ of the Boolean hypercube $\mathbb{F}_2^n$ is a sumset if $S = \{a + b : a, b\in A\}$ for some $A \subseteq \mathbb{F}_2^n$. Sumsets are central objects of study in additive combinatorics, featuring in several influential results. We prove a lower bound of $Ω(2^{n/2})$ for the number of queries needed to test whether a Boolean function $f:\mathbb{F}_2^n \to \{0,1\}$ is the indicator function of a sumset. Our lower bound for testing sumsets follows from sharp bounds on the related problem of shift testing, which may be of independent interest. We also give a near-optimal $2^{n/2} \cdot \mathrm{poly}(n)$-query algorithm for a smoothed analysis formulation of the sumset refutation problem.

18 pages

Country
Germany
Keywords

FOS: Computer and information sciences, Computer Science - Computational Complexity, Computer Science - Data Structures and Algorithms, Sumsets, FOS: Mathematics, additive combinatorics, Mathematics - Combinatorics, Data Structures and Algorithms (cs.DS), property testing, Combinatorics (math.CO), Boolean functions, Computational Complexity (cs.CC), ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average