Polynomial Property Testing

Fuente: arXiv
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Autores principales: Gishboliner, Lior, Shapira, Asaf
Formato: Preprint
Publicado: 2025
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author Gishboliner, Lior
Shapira, Asaf
author_facet Gishboliner, Lior
Shapira, Asaf
contents Property testers are fast, randomized "election polling"-type algorithms that determine if an input (e.g., graph or hypergraph) has a certain property or is $\varepsilon$-far from the property. In the dense graph model of property testing, it is known that many properties can be tested with query complexity that depends only on the error parameter $\varepsilon$ (and not on the size of the input), but the current bounds on the query complexity grow extremely quickly as a function of $1/\varepsilon$. Which properties can be tested efficiently, i.e., with $\mathrm{poly}(1/\varepsilon)$ queries? This survey presents the state of knowledge on this general question, as well as some key open problems.
format Preprint
id arxiv_https___arxiv_org_abs_2508_16878
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Polynomial Property Testing
Gishboliner, Lior
Shapira, Asaf
Data Structures and Algorithms
Combinatorics
Property testers are fast, randomized "election polling"-type algorithms that determine if an input (e.g., graph or hypergraph) has a certain property or is $\varepsilon$-far from the property. In the dense graph model of property testing, it is known that many properties can be tested with query complexity that depends only on the error parameter $\varepsilon$ (and not on the size of the input), but the current bounds on the query complexity grow extremely quickly as a function of $1/\varepsilon$. Which properties can be tested efficiently, i.e., with $\mathrm{poly}(1/\varepsilon)$ queries? This survey presents the state of knowledge on this general question, as well as some key open problems.
title Polynomial Property Testing
topic Data Structures and Algorithms
Combinatorics
url https://arxiv.org/abs/2508.16878