Ergodic Description of STIT Tessellations
Servet Mart\'inez, Werner Nagel

TL;DR
This paper demonstrates that the renormalized STIT tessellation process exhibits ergodic properties, specifically being a finitary factor of a Bernoulli shift and forming a Bernoulli flow, revealing deep stochastic structure.
Contribution
It establishes the ergodic and Bernoulli properties of the renormalized STIT tessellation process in a rigorous mathematical framework.
Findings
Renormalized process is a finitary factor of a Bernoulli shift.
The continuous-time process forms a Bernoulli flow.
Results apply to all polytopes with nonempty interior.
Abstract
Let (Y_t: t > 0) be the STIT tessellation process. We show that for all polytopes W with nonempty interior and all a>1, the renormalized random sequence (a^n Y_{a^n}: n integer) induced in W, is a finitary factor of a Bernoulli shift. As a corollary we get that the renormalized continuous time process (a^t Y_{a^t}: t real) induced in W is a Bernoulli flow.
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Taxonomy
TopicsPoint processes and geometric inequalities · Geometric Analysis and Curvature Flows · Random Matrices and Applications
