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

被引:1
|
作者
Ibrahim, U. [1 ]
Lotsi, A. [1 ]
Doku-Amponsah, K. [1 ]
机构
[1] Univ Ghana, Dept Stat & Actuarial Sci, Box LG 115, Legon, West Africa, Ghana
关键词
d-regular random graph; Random partition function; Empirical cooperate measure; Empirical spin measure; Large deviation principle;
D O I
10.1080/09720529.2021.1891696
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In 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.
引用
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页码:1767 / 1773
页数:7
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