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Graphical construction of spatial Gibbs random graphs

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Author(s):
Cerqueira, Andressa ; Garcia, Nancy L.
Total Authors: 2
Document type: Journal article
Source: Journal of Mathematical Physics; v. 63, n. 4, p. 21-pg., 2022-04-01.
Abstract

We consider a random graph model on Z(d) that incorporates the interplay between the statistics of the graph and the underlying space where the vertices are located. Based on a graphical construction of the model as the invariant measure of a birth and death process, we prove the existence and uniqueness of a measure defined on graphs with vertices in Z(d), which coincides with the limit along the measures over graphs with the finite vertex set. As a consequence, theoretical properties, such as exponential mixing of the infinite volume measure and central limit theorem for averages of a real-valued function of the graph, are obtained. Moreover, a perfect simulation algorithm based on the clan of ancestors is described in order to sample a finite window of the equilibrium measure defined on Z(d).& nbsp;& nbsp;Published under an exclusive license by AIP Publishing. (AU)

FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 17/10555-0 - Stochastic modeling of interacting systems
Grantee:Fabio Prates Machado
Support Opportunities: Research Projects - Thematic Grants