Structural properties of Gibbsian point processes in abstract spaces
Steffen Betsch

TL;DR
This paper develops a comprehensive theoretical framework for Gibbs point processes in abstract measurable spaces, extending classical concepts and proving new existence theorems for processes with complex interactions.
Contribution
It generalizes Gibbs process theory to arbitrary measurable spaces, introduces new existence results, and proves a conjecture on Gibbsian particle processes.
Findings
Established a general theory for Gibbs processes in abstract spaces.
Proved a new theorem on subsequence extraction for point processes.
Confirmed the existence of Gibbs processes with complex interactions.
Abstract
In the language of random counting measures many structural properties of the Poisson process can be studied in arbitrary measurable spaces. We provide a similarly general treatise of Gibbs processes. With the GNZ equations as a definition of these objects, Gibbs processes can be introduced in abstract spaces without any topological structure. In this general setting, partition functions, Janossy densities, and correlation functions are studied. While the definition covers finite and infinite Gibbs processes alike, the finite case allows, even in abstract spaces, for an equivalent and more explicit characterization via a familiar series expansion. Recent generalizations of factorial measures to arbitrary measurable spaces, where counting measures cannot be written as sums of Dirac measures, likewise allow to generalize the concept of Hamiltonians. The DLR equations, which completely…
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Taxonomy
TopicsDiffusion and Search Dynamics · Point processes and geometric inequalities
