Title
Algebraic Branching Programs, Border Complexity, and Tangent Spaces
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.
Year
DOI
Venue
2020
10.4230/LIPIcs.CCC.2020.21
Electronic Colloquium on Computational Complexity (ECCC)
DocType
Volume
Citations 
Journal
27
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Markus Bläser132634.03
Christian Ikenmeyer26410.12
Meena Mahajan368856.90
Pandey Anurag400.34
Nitin Saurabh553.81