The $\beta$-Mixing Rate of STIT Tessellations
Servet Mart\'inez, Werner Nagel

TL;DR
This paper investigates the spatial dependence decay of homogeneous STIT tessellations in Euclidean space, demonstrating that their $eta$-mixing rate approaches zero, indicating increasing independence over distance.
Contribution
The paper establishes the convergence of the $eta$-mixing rate to zero for homogeneous STIT tessellations, providing new insights into their spatial dependence structure.
Findings
$eta$-mixing rate converges to zero for STIT tessellations
Shows increasing independence over larger spatial scales
Provides theoretical foundation for spatial statistical analysis
Abstract
We consider homogeneous STIT tessellations in the -dimensional Euclidean space and show that the (spatial) -mixing rate converges to zero.
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Taxonomy
TopicsPoint processes and geometric inequalities · Stochastic processes and statistical mechanics · Random Matrices and Applications
