On Finer Separations between Subclasses of Read-once Oblivious ABPs
C. Ramya, Anamay Tengse

TL;DR
This paper investigates subclasses of Read-once Oblivious Algebraic Branching Programs (ROABPs) based on the algebraic properties of their coefficient matrices, revealing connections to depth-three powering circuits and polynomial ranks.
Contribution
It establishes a surprising link between commutative and diagonal ROABPs and depth-three powering circuits, highlighting the role of algebraic structure in computational complexity.
Findings
Diagonal ROABPs can simulate commutative ROABPs under certain conditions.
A super-polynomial separation exists if commutative ROABPs are not simulatable by diagonal ROABPs.
The algebraic structure of coefficient matrices is crucial for understanding ROABP subclasses.
Abstract
Read-once Oblivious Algebraic Branching Programs (ROABPs) compute polynomials as products of univariate polynomials that have matrices as coefficients. In an attempt to understand the landscape of algebraic complexity classes surrounding ROABPs, we study classes of ROABPs based on the algebraic structure of these coefficient matrices. We study connections between polynomials computed by these structured variants of ROABPs and other well-known classes of polynomials (such as depth-three powering circuits, tensor-rank and Waring rank of polynomials). Our main result concerns commutative ROABPs, where all coefficient matrices commute with each other, and diagonal ROABPs, where all the coefficient matrices are just diagonal matrices. In particular, we show a somewhat surprising connection between these models and the model of depth-three powering circuits that is related to the Waring…
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Taxonomy
Topicssemigroups and automata theory · Coding theory and cryptography · Cryptography and Data Security
