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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/25721
Title: On the Complexity of Several Mal'tsev Condition Satisfaction Problems
Other Titles: Mal'tsev Condition Satisfaction Problems
Authors: Rooney, J P
Advisor: Valeriote, Matthew
Department: Mathematics and Statistics
Keywords: Universal Algebra;General Algebra;Mal'tsev Conditions;Mal'tsev Condition Satisfaction Problems;MCSP;Complexity;Algebra;Constraint Satisfaction;CSP
Publication Date: 2020
Abstract: In this thesis we derive novel results on the complexity of idempotent Mal'tsev condition satisfaction problems. For a Mal'tsev condition M, the idempotent M- satisfaction problem is the decision problem defined via: INPUT: A finite idempotent algebra A. QUESTION: Does A satisfy M? In particular we are able to prove that this decision problem is in the complexity class NP whenever M satisfi es one of the following conditions: 1. M is a strong Mal'tsev condition which implies the existence of a near unanimity term. 2. M is a strong Mal'tsev condition of height < 1 (see Definition 5.1.1). As a porism of these two results, we are able to derive the stronger result that the complexity of the idempotent M-satisfaction problem is in NP whenever M is a strong Mal'tsev condition which implies the existence of an edge term. On top of this we also outline a polynomial-time algorithm for the idempotent M-satisfaction problem when M is a linear strong Mal'tsev condition which implies the existence of a near unanimity term. We also examine the related search problem in which the goal is to produce operation tables of term operations of the algebra A which witness that A satisfies the Mal'tsev condition M whenever such terms exist (and otherwise correctly decide that such terms do not exist). We outline polynomial-time algorithms for this search problem for various strong Mal'tsev conditions. We close the thesis with a short list of open problems as suggested directions for further research.
URI: http://hdl.handle.net/11375/25721
Appears in Collections:Open Access Dissertations and Theses

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