Distance Reducing Markov Bases
Oliver Clarke, Dimitra Kosta

TL;DR
This paper investigates the properties of distance reducing Markov bases, providing characterizations for monomial curves, especially complete intersections, and analyzing the fundamental moves common to all such bases.
Contribution
It offers a complete characterization of distance reduction for monomial curves, utilizing gluings of numerical semigroups, and examines distance irreducible elements.
Findings
Characterization of distance reduction for complete intersection monomial curves
Analysis of distance reducing property for non-complete intersection monomial curves in small dimensions
Identification of moves appearing in all distance reducing Markov bases
Abstract
The distance reducing property for Markov bases is an important property that provides a bound on the mixing time of the associated Markov chain. The goal of this project is to understand properties of distance-reducing Markov bases. We explore the distance reducing property for monomial curves and give a complete characterisation of distance reduction in the case of complete intersection monomial curves. Our characterisation carefully uses the notion of gluings for numerical semigroups. We also characterise the distance reducing property for non-complete intersection monomial curves in small dimensions. We also explore the distance irreducible elements: the moves that appear in all distance reducing Markov bases.
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Taxonomy
TopicsData Management and Algorithms
