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  1. SIAM Journal on Computing (SMJCAT)
  2. Volume 38
  3. Volume 38 Issue 2 (Special Issue Dedicated to the Thirty-Seventh Annual ACM Symposium on Theory of Computing (STOC 2005))
  4. Every Monotone Graph Property Is Testable
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Volume 47
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Volume 38
Volume 38 Issue 6
Volume 38 Issue 5
Volume 38 Issue 4
Volume 38 Issue 3
Volume 38 Issue 2 (Special Issue Dedicated to the Thirty-Seventh Annual ACM Symposium on Theory of Computing (STOC 2005))
New and Improved Constructions of Nonmalleable Cryptographic Protocols
Tree-Walking Automata Do Not Recognize All Regular Languages
Improved Approximation Algorithms for Minimum Weight Vertex Separators
Lower-Stretch Spanning Trees
Short PCPs with Polylog Query Complexity
The Round Complexity of Two-Party Random Selection
Every Monotone Graph Property Is Testable
The Mixing Time of the Thorp Shuffle
An $O(\logn \log\logn)$ Space Algorithm for Undirected st-Connectivity
Special Issue Dedicated to the Thirty-Seventh Annual ACM Symposium on Theory of Computing (STOC 2005)
Volume 38 Issue 1
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Volume 1

Every Monotone Graph Property Is Testable

Content Provider Society for Industrial and Applied Mathematics (SIAM)
Author Shapira, Asaf Alon, Noga
Copyright Year 2008
Abstract A graph property is called monotone if it is closed under removal of edges and vertices. Many monotone graph properties are some of the most well-studied properties in graph theory, and the abstract family of all monotone graph properties was also extensively studied. Our main result in this paper is that any monotone graph property can be tested with one-sided error, and with query complexity depending only on $\epsilon$. This result unifies several previous results in the area of property testing and also implies the testability of well-studied graph properties that were previously not known to be testable. At the heart of the proof is an application of a variant of Szemerdi's regularity lemma. The main ideas behind this application may be useful in characterizing all testable graph properties and in generally studying graph property testing. As a byproduct of our techniques we also obtain additional results in graph theory and property testing, which are of independent interest. One of these results is that the query complexity of testing testable graph properties with one-sided error may be arbitrarily large. Another result, which significantly extends previous results in extremal graph theory, is that for any monotone graph property ${\cal P}$, any graph that is $\epsilon$-far from satisfying ${\cal P}$ contains a subgraph of size depending on $\epsilon$ only, which does not satisfy ${\cal P}$. Finally, we prove the following compactness statement: If a graph G is $\epsilon$-far from satisfying a (possibly infinite) set of monotone graph properties ${\cal P}$, then it is at least $\delta_{{\cal P}}(\epsilon)$-far from satisfying one of the properties.
Starting Page 505
Ending Page 522
Page Count 18
File Format PDF
ISSN 00975397
DOI 10.1137/050633445
e-ISSN 10957111
Journal SIAM Journal on Computing (SMJCAT)
Issue Number 2 (Special Issue Dedicated to the Thirty-Seventh Annual ACM Symposium on Theory of Computing (STOC 2005))
Volume Number 38
Language English
Publisher Society for Industrial and Applied Mathematics
Publisher Date 2008-05-23
Access Restriction Subscribed
Subject Keyword regularity lemma graphs monotone properties Randomized algorithms Approximation algorithms property testing Graph algorithms
Content Type Text
Resource Type Article
Subject Mathematics Computer Science
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