Joint large deviation principle for some empirical measures of the d-regular random graphs

dc.contributor.authorIbrahim, U.
dc.contributor.authorLotsi, A.
dc.contributor.authorDoku-Amponsah, K.
dc.date.accessioned2022-01-05T12:49:59Z
dc.date.available2022-01-05T12:49:59Z
dc.date.issued2021
dc.descriptionResearch Articleen_US
dc.description.abstractIn this paper, we define a d–regular random model by perfect matching of vertices or paring of vertices. For each vertex, we assign a q–state spin. From this d–regular graph model, we define the empirical co-operate measure, which enumerates the number of co-operation between a given couple of spins, and empirical spin measure, which enumerates the number of sites having a given spin on the d–regular random graph model. For these empirical measures, we obtain large deviation principle(LDP) in the weak topology.en_US
dc.identifier.otherDOI : 1080.10/09720529.2021.1891696
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/37463
dc.language.isoenen_US
dc.publisherTaylor & Francis Groupen_US
dc.subjectd–regular random graphen_US
dc.subjectRandom partition functionen_US
dc.subjectEmpirical cooperate measureen_US
dc.subjectEmpirical spin measureen_US
dc.subjectLarge deviation principleen_US
dc.titleJoint large deviation principle for some empirical measures of the d-regular random graphsen_US
dc.typeArticleen_US

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