English

The Power of Depth 2 Circuits over Algebras

Computational Complexity 2016-09-08 v1 Data Structures and Algorithms

Abstract

We study the problem of polynomial identity testing (PIT) for depth 2 arithmetic circuits over matrix algebra. We show that identity testing of depth 3 (Sigma-Pi-Sigma) arithmetic circuits over a field F is polynomial time equivalent to identity testing of depth 2 (Pi-Sigma) arithmetic circuits over U_2(F), the algebra of upper-triangular 2 x 2 matrices with entries from F. Such a connection is a bit surprising since we also show that, as computational models, Pi-Sigma circuits over U_2(F) are strictly `weaker' than Sigma-Pi-Sigma circuits over F. The equivalence further shows that PIT of depth 3 arithmetic circuits reduces to PIT of width-2 planar commutative Algebraic Branching Programs (ABP). Thus, identity testing for commutative ABPs is interesting even in the case of width-2. Further, we give a deterministic polynomial time identity testing algorithm for a Pi-Sigma circuit over any constant dimensional commutative algebra over F. While over commutative algebras of polynomial dimension, identity testing is at least as hard as that of Sigma-Pi-Sigma circuits over F.

Cite

@article{arxiv.0904.2058,
  title  = {The Power of Depth 2 Circuits over Algebras},
  author = {Chandan Saha and Ramprasad Saptharishi and Nitin Saxena},
  journal= {arXiv preprint arXiv:0904.2058},
  year   = {2016}
}
R2 v1 2026-06-21T12:51:02.116Z