Polynomial-Time Algorithms for Black-Box Distributive Expanded Groups
Mikhail Anokhin

TL;DR
This paper develops probabilistic polynomial-time algorithms for key problems in black-box distributive expanded groups, enabling efficient computation and classification within this algebraic framework.
Contribution
It introduces the first polynomial-time algorithms for generating systems and membership testing in black-box distributive expanded groups, extending to rings and modules.
Findings
Algorithms have exponentially small error probability.
Applicable to groups, rings, modules, and algebras.
Provides a foundation for computational algebra in black-box models.
Abstract
Let be a finite set of finitary operation symbols. An -expanded group is a group (written additively and called the additive group of the -expanded group) with an -algebra structure. We use the black-box model of computation in -expanded groups. In this model, elements of a finite -expanded group are represented (not necessarily uniquely) by bit strings of the same length, say, . Given representations of elements of , equality testing and the fundamental operations of are performed by an oracle. Assume that is distributive, i.e., all its fundamental operations associated with nonnullary operation symbols in are distributive over addition. Suppose is a generating system of . In this paper, we present probabilistic polynomial-time black-box -expanded group algorithms for the…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Cooperative Communication and Network Coding · Cryptography and Data Security
