English

Testing perfection is hard

Combinatorics 2011-10-14 v1 Discrete Mathematics Data Structures and Algorithms

Abstract

A graph property P is strongly testable if for every fixed \epsilon>0 there is a one-sided \epsilon-tester for P whose query complexity is bounded by a function of \epsilon. In classifying the strongly testable graph properties, the first author and Shapira showed that any hereditary graph property (such as P the family of perfect graphs) is strongly testable. A property is easily testable if it is strongly testable with query complexity bounded by a polynomial function of \epsilon^{-1}, and otherwise it is hard. 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 induced P_3-freeness is easily testable. This settles one of the two exceptional graphs, the other being C_4 (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.

Keywords

Cite

@article{arxiv.1110.2828,
  title  = {Testing perfection is hard},
  author = {Noga Alon and Jacob Fox},
  journal= {arXiv preprint arXiv:1110.2828},
  year   = {2011}
}

Comments

11 pages

R2 v1 2026-06-21T19:19:30.035Z