English

Testing Formula Satisfaction

Data Structures and Algorithms 2014-03-28 v2 Computational Complexity

Abstract

We study the query complexity of testing for properties defined by read once formulas, as instances of {\em massively parametrized properties}, and prove several testability and non-testability results. First we prove the testability of any property accepted by a Boolean read-once formula involving any bounded arity gates, with a number of queries exponential in ϵ\epsilon, doubly exponential in the arity, and independent of all other parameters. When the gates are limited to being monotone, we prove that there is an {\em estimation} algorithm, that outputs an approximation of the distance of the input from satisfying the property. For formulas only involving And/Or gates, we provide a more efficient test whose query complexity is only quasipolynomial in ϵ\epsilon. On the other hand, we show that such testability results do not hold in general for formulas over non-Boolean alphabets; specifically we construct a property defined by a read-once arity 22 (non-Boolean) formula over an alphabet of size 44, such that any 1/41/4-test for it requires a number of queries depending on the formula size. We also present such a formula over an alphabet of size 55 that additionally satisfies a strong monotonicity condition.

Keywords

Cite

@article{arxiv.1204.3413,
  title  = {Testing Formula Satisfaction},
  author = {Eldar Fischer and Yonatan Goldhirsh and Oded Lachish},
  journal= {arXiv preprint arXiv:1204.3413},
  year   = {2014}
}
R2 v1 2026-06-21T20:49:55.909Z