Algebraic Branching Programs, Border Complexity, and Tangent Spaces



Bläser, Markus, Ikenmeyer, Christian, Mahajan, Meena, Pandey, Anurag and Saurabh, Nitin
(2020) Algebraic Branching Programs, Border Complexity, and Tangent Spaces. In: 35th Computational Complexity Conference (CCC 2020).

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Abstract

Nisan showed in 1991 that the width of a smallest noncommutative single-(source,sink) algebraic branching program (ABP) to compute a noncommutative polynomial is given by the ranks of specific matrices. This means that the set of noncommutative polynomials with ABP width complexity at most $k$ is Zariski-closed, an important property in geometric complexity theory. It follows that approximations cannot help to reduce the required ABP width. It was mentioned by Forbes that this result would probably break when going from single-(source,sink) ABPs to trace ABPs. We prove that this is correct. Moreover, we study the commutative monotone setting and prove a result similar to Nisan, but concerning the analytic closure. We observe the same behavior here: The set of polynomials with ABP width complexity at most $k$ is closed for single-(source,sink) ABPs and not closed for trace ABPs. The proofs reveal an intriguing connection between tangent spaces and the vector space of flows on the ABP. We close with additional observations on VQP and the closure of VNP which allows us to establish a separation between the two classes.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: cs.CC, cs.CC, F.1.1; F.1.3, algebraic branching programs, border complexity, tangent spaces, lower bounds, geometric complexity theory, flows, VQP, VNP
Depositing User: Symplectic Admin
Date Deposited: 17 Sep 2020 07:54
Last Modified: 18 Jan 2023 23:33
DOI: 10.4230/LIPIcs.CCC.2020.21
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3101437