Multipopulation Spin Models: A View from Large Deviations Theoretic Window
This paper studies large deviations properties of vectors of empirical means and measures generated as follows. Consider a sequence X1,X2,…,Xn of independent and identically distributed random variables partitioned into d-subgroups with sizes n1,…,nd. Further, consider a d-dimensional vector mn whos...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Journal of Mathematics |
Online Access: | http://dx.doi.org/10.1155/2018/9417547 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841524602450214912 |
---|---|
author | Alex Akwasi Opoku Godwin Osabutey |
author_facet | Alex Akwasi Opoku Godwin Osabutey |
author_sort | Alex Akwasi Opoku |
collection | DOAJ |
description | This paper studies large deviations properties of vectors of empirical means and measures generated as follows. Consider a sequence X1,X2,…,Xn of independent and identically distributed random variables partitioned into d-subgroups with sizes n1,…,nd. Further, consider a d-dimensional vector mn whose coordinates are made up of the empirical means of the subgroups. We prove the following. (1) The sequence of vector of empirical means mn satisfies large deviations principle with rate n and rate function I, when the sequence X1,X2,…,Xn is Rl valued, with l≥1. (2) Similar large deviations results hold for the corresponding sequence of vector of empirical measures Ln if Xi’s, i=1,2,…,n, take on finitely many values. (3) The rate functions for the above large deviations principles are convex combinations of the corresponding rate functions arising from the large deviations principles of the coordinates of mn and Ln. The probability distributions used in the convex combinations are given by α=(α1,…,αd)=limn→∞1/n(n1,…,nd). These results are consequently used to derive variational formula for the thermodynamic limit for the pressure of multipopulation Curie-Weiss (I. Gallo and P. Contucci (2008), and I. Gallo (2009)) and mean-field Pott’s models, via a version of Varadhan’s integral lemma for an equicontinuous family of functions. These multipopulation models serve as a paradigm for decision-making context where social interaction and other socioeconomic attributes of individuals play a crucial role. |
format | Article |
id | doaj-art-14623ae42d7141f48fd1a457f2caf8ed |
institution | Kabale University |
issn | 2314-4629 2314-4785 |
language | English |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Mathematics |
spelling | doaj-art-14623ae42d7141f48fd1a457f2caf8ed2025-02-03T05:47:43ZengWileyJournal of Mathematics2314-46292314-47852018-01-01201810.1155/2018/94175479417547Multipopulation Spin Models: A View from Large Deviations Theoretic WindowAlex Akwasi Opoku0Godwin Osabutey1Mathematics and Statistics Department, University of Energy and Natural Resources, P. O. Box 214, Sunyani, GhanaMathematics and Statistics Department, University of Energy and Natural Resources, P. O. Box 214, Sunyani, GhanaThis paper studies large deviations properties of vectors of empirical means and measures generated as follows. Consider a sequence X1,X2,…,Xn of independent and identically distributed random variables partitioned into d-subgroups with sizes n1,…,nd. Further, consider a d-dimensional vector mn whose coordinates are made up of the empirical means of the subgroups. We prove the following. (1) The sequence of vector of empirical means mn satisfies large deviations principle with rate n and rate function I, when the sequence X1,X2,…,Xn is Rl valued, with l≥1. (2) Similar large deviations results hold for the corresponding sequence of vector of empirical measures Ln if Xi’s, i=1,2,…,n, take on finitely many values. (3) The rate functions for the above large deviations principles are convex combinations of the corresponding rate functions arising from the large deviations principles of the coordinates of mn and Ln. The probability distributions used in the convex combinations are given by α=(α1,…,αd)=limn→∞1/n(n1,…,nd). These results are consequently used to derive variational formula for the thermodynamic limit for the pressure of multipopulation Curie-Weiss (I. Gallo and P. Contucci (2008), and I. Gallo (2009)) and mean-field Pott’s models, via a version of Varadhan’s integral lemma for an equicontinuous family of functions. These multipopulation models serve as a paradigm for decision-making context where social interaction and other socioeconomic attributes of individuals play a crucial role.http://dx.doi.org/10.1155/2018/9417547 |
spellingShingle | Alex Akwasi Opoku Godwin Osabutey Multipopulation Spin Models: A View from Large Deviations Theoretic Window Journal of Mathematics |
title | Multipopulation Spin Models: A View from Large Deviations Theoretic Window |
title_full | Multipopulation Spin Models: A View from Large Deviations Theoretic Window |
title_fullStr | Multipopulation Spin Models: A View from Large Deviations Theoretic Window |
title_full_unstemmed | Multipopulation Spin Models: A View from Large Deviations Theoretic Window |
title_short | Multipopulation Spin Models: A View from Large Deviations Theoretic Window |
title_sort | multipopulation spin models a view from large deviations theoretic window |
url | http://dx.doi.org/10.1155/2018/9417547 |
work_keys_str_mv | AT alexakwasiopoku multipopulationspinmodelsaviewfromlargedeviationstheoreticwindow AT godwinosabutey multipopulationspinmodelsaviewfromlargedeviationstheoreticwindow |