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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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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. |
format | Online Article Text |
id | pubmed-4954807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dokuamponsahkwabena jointlargedeviationresultforempiricalmeasuresofthecolouredrandomgeometricgraphs |