English

Two types of branching programs with bounded repetition that cannot efficiently compute monotone 3-CNFs

Computational Complexity 2016-05-17 v2

Abstract

It is known that there are classes of 2-CNFs requiring exponential size non-deterministic read-once branching programs to compute them. However, to the best of our knowledge, there are no superpolynomial lower bounds for branching programs of a higher repetition computing a class of 2-CNFs. This work is an attempt to make a progress in this direction. We consider a class of monotone 3-CNFs that are almost 2-CNFs in the sense that in each clause there is a literal occurring in this clause only. We prove exponential lower bounds for two classes of non-deterministic branching programs. The first class significantly generalizes monotone read-kk-times {\sc nbp}s and the second class generalizes oblivious read kk times branching programs. The lower bounds remain exponential for klogn/ak \leq \log n/a where aa is a sufficiently large constant.

Keywords

Cite

@article{arxiv.1510.05486,
  title  = {Two types of branching programs with bounded repetition that cannot efficiently compute monotone 3-CNFs},
  author = {Igor Razgon},
  journal= {arXiv preprint arXiv:1510.05486},
  year   = {2016}
}

Comments

It turned out that this is not the first result separating branching programs with a higher repetition and CNFs (which was the motivation in version 1). Corresponding results cited and the motivation significantly narrowed

R2 v1 2026-06-22T11:23:38.090Z