English

Lower Bounds of Algebraic Branching Programs and Layerization

Computational Complexity 2020-09-18 v2

Abstract

In this paper we improve the lower bound of Chatterjee et al.\ (ECCC 2019) to an Ω(n2)\Omega(n^2) lower bound for unlayered Algebraic Branching Programs. We also study the impact layerization has on Algebraic Branching Programs. We exhibit a polynomial that has an unlayered ABP of size O(n)O(n) but any layered ABP has size at least Ω(nn)\Omega(n\sqrt{n}). We exhibit a similar dichotomy in the non-commutative setting where the unlayered ABP has size O(n)O(n) and any layered ABP has size at least Ω(nlognlog2n)\Omega(n\log n -\log^2 n).

Keywords

Cite

@article{arxiv.2007.06819,
  title  = {Lower Bounds of Algebraic Branching Programs and Layerization},
  author = {Christian Engels},
  journal= {arXiv preprint arXiv:2007.06819},
  year   = {2020}
}

Comments

The current version has some serious gaps which I need to address before the results stand

R2 v1 2026-06-23T17:05:54.999Z