Groups that do and do not have context-sensitive word problem
Derek F. Holt, Sarah Rees, Michael Shapiro

TL;DR
This paper characterizes groups with context-sensitive word problems using non-deterministic Cannon's algorithms, expanding the understanding of language-theoretic distinctions in group theory.
Contribution
It establishes a precise equivalence between context-sensitive word problems and non-deterministic Cannon's algorithms for groups, and identifies groups that do not admit such algorithms.
Findings
Characterizes groups with context-sensitive word problems
Identifies groups not admitting non-deterministic Cannon's algorithms
Provides new language-theoretic separation results
Abstract
We prove that a group has word problem that is a growing context-sensitive language precisely if its word problem can be solved using a non-deterministic Cannon's algorithm (the deterministic algorithms being defined by Goodman and Shapiro). We generalise their results to find many examples of groups not admitting non-deterministic Cannon's algorithms. This adds to the examples of Kambites and Otto of groups separating context-sensitive and growing context-sensitive word problems, and provides a new language-theoretic separation result.
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Taxonomy
TopicsDNA and Biological Computing · semigroups and automata theory · Machine Learning and Algorithms
