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Bottom-Up: a New Algorithm to Generate Random Linear Extensions of a Poset

dc.contributor.authorGarcía Segador, Pedro
dc.contributor.authorMiranda Menéndez, Pedro
dc.date.accessioned2023-06-17T13:21:20Z
dc.date.available2023-06-17T13:21:20Z
dc.date.issued2018-10-09
dc.description.abstractIn this paper we present a new method for deriving a random linear extension of a poset. This new strategy combines Probability with Combinatorics and obtains a procedure where each minimal element of a sequence of subposets is selected via a probability distribution. The method consists in obtaining a weight vector on the elements of P, so that an element is selected with a probability proportional to its weight. From some properties on the graph of adjacent linear extensions, it is shown that the probability distribution can be obtained by solving a linear system. The number of equations involved in this system relies on the number of what we have called positioned antichains, that allows a reduced number of equations. Finally, we give some examples of the applicability of the algorithm. This procedure cannot be applied to every poset, but it is exact when it can be used. Moreover, the method is quick and easy to implement. Besides, it allows a simple way to derive the number of linear extensions of a given poset.
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Economía y Competitividad (MINECO)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/54907
dc.identifier.citationGarcía-Segador P, Miranda P. Bottom-Up: a New Algorithm to Generate Random Linear Extensions of a Poset. Order 2019; 36: 437–462. [DOI: 10.1007/s11083-018-9476-1]
dc.identifier.doi10.1007/s11083-018-9476-1
dc.identifier.issn0167-8094
dc.identifier.officialurlhttps://doi.org/10.1007/s11083-018-9476-1
dc.identifier.relatedurlhttps://link.springer.com/journal/11083
dc.identifier.urihttps://hdl.handle.net/20.500.14352/13212
dc.journal.titleOrder
dc.language.isoeng
dc.page.final26
dc.page.initial1
dc.publisherSpringer Netherlands
dc.relation.projectIDMTM-2015-67057
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/es/
dc.subject.cdu517.98
dc.subject.keywordPoset
dc.subject.keywordLinear extension
dc.subject.keywordRandom generation
dc.subject.keywordProbability
dc.subject.ucmAnálisis funcional y teoría de operadores
dc.subject.ucmProbabilidades (Matemáticas)
dc.titleBottom-Up: a New Algorithm to Generate Random Linear Extensions of a Poset
dc.typejournal article
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