English

A $o(d) \cdot \text{polylog}~n$ Monotonicity Tester for Boolean Functions over the Hypergrid $[n]^d$

Discrete Mathematics 2017-10-31 v1 Computational Complexity Data Structures and Algorithms

Abstract

We study monotonicity testing of Boolean functions over the hypergrid [n]d[n]^d and design a non-adaptive tester with 11-sided error whose query complexity is O~(d5/6)poly(logn,1/ϵ)\tilde{O}(d^{5/6})\cdot \text{poly}(\log n,1/\epsilon). Previous to our work, the best known testers had query complexity linear in dd but independent of nn. We improve upon these testers as long as n=2do(1)n = 2^{d^{o(1)}}. To obtain our results, we work with what we call the augmented hypergrid, which adds extra edges to the hypergrid. Our main technical contribution is a Margulis-style isoperimetric result for the augmented hypergrid, and our tester, like previous testers for the hypercube domain, performs directed random walks on this structure.

Keywords

Cite

@article{arxiv.1710.10545,
  title  = {A $o(d) \cdot \text{polylog}~n$ Monotonicity Tester for Boolean Functions over the Hypergrid $[n]^d$},
  author = {Hadley Black and Deeparnab Chakrabarty and C. Seshadhri},
  journal= {arXiv preprint arXiv:1710.10545},
  year   = {2017}
}
R2 v1 2026-06-22T22:28:41.158Z