Result: The Power and Limitations of Uniform Samples in Testing Properties of Figures

Title:
The Power and Limitations of Uniform Samples in Testing Properties of Figures
Contributors:
Piotr Berman and Meiram Murzabulatov and Sofya Raskhodnikova
Source:
Algorithmica. 81:1247-1266
Publisher Information:
Springer Science and Business Media LLC, 2018.
Publication Year:
2018
Document Type:
Academic journal Article<br />Conference object
File Description:
application/pdf
Language:
English
ISSN:
1432-0541
0178-4617
DOI:
10.1007/s00453-018-0467-9
DOI:
10.4230/lipics.fsttcs.2016.45
Rights:
Springer TDM
CC BY
Accession Number:
edsair.doi.dedup.....48f42aaf73f3d9844fc8097c9dfcbf4a
Database:
OpenAIRE

Further Information

We investigate testing of properties of 2-dimensional figures that consist of a black object on a white background. Given a parameter epsilon in (0,1/2), a tester for a specified property has to accept with probability at least 2/3 if the input figure satisfies the property and reject with probability at least 2/3 if it does not. In general, property testers can query the color of any point in the input figure. We study the power of testers that get access only to uniform samples from the input figure. We show that for the property of being a half-plane, the uniform testers are as powerful as general testers: they require only O(1/epsilon) samples. In contrast, we prove that convexity can be tested with O(1/epsilon) queries by testers that can make queries of their choice while uniform testers for this property require Omega(1/epsilon^{5/4}) samples. Previously, the fastest known tester for convexity needed Theta(1/epsilon^{4/3}) queries.