Testing Distributions of Huge Objects

We initiate a study of a new model of property testing that is a hybrid of testing properties of distributions and testing properties of strings. Specifically, the new model refers to testing properties of distributions, but these are distributions over huge objects (i.e., very long strings). Accord...

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Main Authors: Oded Goldreich, Dana Ron
Format: Article
Language:English
Published: TheoretiCS Foundation e.V. 2023-12-01
Series:TheoretiCS
Subjects:
Online Access:https://theoretics.episciences.org/10553/pdf
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author Oded Goldreich
Dana Ron
author_facet Oded Goldreich
Dana Ron
author_sort Oded Goldreich
collection DOAJ
description We initiate a study of a new model of property testing that is a hybrid of testing properties of distributions and testing properties of strings. Specifically, the new model refers to testing properties of distributions, but these are distributions over huge objects (i.e., very long strings). Accordingly, the model accounts for the total number of local probes into these objects (resp., queries to the strings) as well as for the distance between objects (resp., strings), and the distance between distributions is defined as the earth mover's distance with respect to the relative Hamming distance between strings. We study the query complexity of testing in this new model, focusing on three directions. First, we try to relate the query complexity of testing properties in the new model to the sample complexity of testing these properties in the standard distribution testing model. Second, we consider the complexity of testing properties that arise naturally in the new model (e.g., distributions that capture random variations of fixed strings). Third, we consider the complexity of testing properties that were extensively studied in the standard distribution testing model: Two such cases are uniform distributions and pairs of identical distributions.
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spelling doaj.art-5247fec72fe74c99bc2949a93e8c83832024-02-02T12:32:47ZengTheoretiCS Foundation e.V.TheoretiCS2751-48382023-12-01Volume 210.46298/theoretics.23.1210553Testing Distributions of Huge ObjectsOded GoldreichDana RonWe initiate a study of a new model of property testing that is a hybrid of testing properties of distributions and testing properties of strings. Specifically, the new model refers to testing properties of distributions, but these are distributions over huge objects (i.e., very long strings). Accordingly, the model accounts for the total number of local probes into these objects (resp., queries to the strings) as well as for the distance between objects (resp., strings), and the distance between distributions is defined as the earth mover's distance with respect to the relative Hamming distance between strings. We study the query complexity of testing in this new model, focusing on three directions. First, we try to relate the query complexity of testing properties in the new model to the sample complexity of testing these properties in the standard distribution testing model. Second, we consider the complexity of testing properties that arise naturally in the new model (e.g., distributions that capture random variations of fixed strings). Third, we consider the complexity of testing properties that were extensively studied in the standard distribution testing model: Two such cases are uniform distributions and pairs of identical distributions.https://theoretics.episciences.org/10553/pdfcomputer science - data structures and algorithms
spellingShingle Oded Goldreich
Dana Ron
Testing Distributions of Huge Objects
TheoretiCS
computer science - data structures and algorithms
title Testing Distributions of Huge Objects
title_full Testing Distributions of Huge Objects
title_fullStr Testing Distributions of Huge Objects
title_full_unstemmed Testing Distributions of Huge Objects
title_short Testing Distributions of Huge Objects
title_sort testing distributions of huge objects
topic computer science - data structures and algorithms
url https://theoretics.episciences.org/10553/pdf
work_keys_str_mv AT odedgoldreich testingdistributionsofhugeobjects
AT danaron testingdistributionsofhugeobjects