Easily Testable Graph Properties

Noga Alon, Jacob Fox

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

A graph on n vertices is ε-far from a property P if one has to add or delete from it at least εn 2 edges to get a graph satisfying P. A graph property P is strongly testable if for every fixed ε > 0 it is possible to distinguish, with one-sided error, between graphs satisfying P and ones that are ε-far from P by inspecting the induced subgraph on a random subset of at most f(ε) vertices. A property is easily testable if it is strongly testable and the function f is polynomial in 1/ε, otherwise it is hard. We consider the problem of characterizing the easily testable graph properties, which is wide open, and obtain several results in its study. One of our main results shows that testing perfectness is hard. The proof shows that testing perfectness is at least as hard as testing triangle-freeness, which is hard. On the other hand, we show that being a cograph, or equivalently, induced P3-freeness where P3 is a path with 3 edges, is easily testable. This settles one of the two exceptional graphs, the other being C4 (and its complement), left open in the characterization by the first author and Shapira of graphs H for which induced H-freeness is easily testable. Our techniques yield a few additional related results, but the problem of characterizing all easily testable graph properties, or even that of formulating a plausible conjectured characterization, remains open.

Original languageEnglish (US)
Pages (from-to)646-657
Number of pages12
JournalCombinatorics Probability and Computing
Volume24
Issue number4
DOIs
StatePublished - Jul 1 2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Statistics and Probability
  • Computational Theory and Mathematics
  • Applied Mathematics

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