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Joint large deviation result for empirical measures of the coloured random geometric graphs

We prove joint large deviation principle for the empirical pair measure and empirical locality measure of the near intermediate coloured random geometric graph models on n points picked uniformly in a d-dimensional torus of a unit circumference. From this result we obtain large deviation principles...

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Autor principal: Doku-Amponsah, Kwabena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954807/
https://www.ncbi.nlm.nih.gov/pubmed/27504238
http://dx.doi.org/10.1186/s40064-016-2718-z
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author Doku-Amponsah, Kwabena
author_facet Doku-Amponsah, Kwabena
author_sort Doku-Amponsah, Kwabena
collection PubMed
description We prove joint large deviation principle for the empirical pair measure and empirical locality measure of the near intermediate coloured random geometric graph models on n points picked uniformly in a d-dimensional torus of a unit circumference. From this result we obtain large deviation principles for the number of edges per vertex, the degree distribution and the proportion of isolated vertices for the near intermediate random geometric graph models.
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spelling pubmed-49548072016-08-08 Joint large deviation result for empirical measures of the coloured random geometric graphs Doku-Amponsah, Kwabena Springerplus Research We prove joint large deviation principle for the empirical pair measure and empirical locality measure of the near intermediate coloured random geometric graph models on n points picked uniformly in a d-dimensional torus of a unit circumference. From this result we obtain large deviation principles for the number of edges per vertex, the degree distribution and the proportion of isolated vertices for the near intermediate random geometric graph models. Springer International Publishing 2016-07-20 /pmc/articles/PMC4954807/ /pubmed/27504238 http://dx.doi.org/10.1186/s40064-016-2718-z Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Doku-Amponsah, Kwabena
Joint large deviation result for empirical measures of the coloured random geometric graphs
title Joint large deviation result for empirical measures of the coloured random geometric graphs
title_full Joint large deviation result for empirical measures of the coloured random geometric graphs
title_fullStr Joint large deviation result for empirical measures of the coloured random geometric graphs
title_full_unstemmed Joint large deviation result for empirical measures of the coloured random geometric graphs
title_short Joint large deviation result for empirical measures of the coloured random geometric graphs
title_sort joint large deviation result for empirical measures of the coloured random geometric graphs
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4954807/
https://www.ncbi.nlm.nih.gov/pubmed/27504238
http://dx.doi.org/10.1186/s40064-016-2718-z
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