Conditional measures for Pfaffian point processes: conditioning on a bounded domain
Alexander I. Bufetov, Fabio Deelan Cunden, Yanqi Qiu

TL;DR
This paper derives explicit formulas for the kernels of conditioned Pfaffian point processes, including Palm measures and measures conditioned on configurations in bounded domains, enhancing understanding of their structure.
Contribution
It provides explicit formulas for the kernels of Palm measures and conditioned measures of Pfaffian point processes, advancing the theoretical understanding of their structure.
Findings
Explicit kernels for Palm measures derived
Formulas for conditioned measures on bounded domains obtained
Enhanced understanding of Pfaffian point process structure
Abstract
For a Pfaffian point process we show that its Palm measures, its normalised compositions with multiplicative functionals, and its conditional measures with respect to fixing the configuration in a bounded subset are Pfaffian point processes whose kernels we find explicitly.
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Taxonomy
TopicsRandom Matrices and Applications · Point processes and geometric inequalities · Stochastic processes and statistical mechanics
