Random conical tessellations
Daniel Hug, Rolf Schneider

TL;DR
This paper studies random conical tessellations of spheres and Euclidean space, analyzing geometric functionals and covariance structures, extending classical results to spherical settings.
Contribution
It introduces a comprehensive analysis of expectations and covariance structures of geometric functionals in random conical tessellations, including dual cones and isotropic cases.
Findings
Explicit formulas for expected face numbers and intrinsic volumes.
Complete covariance structure for face contents in isotropic tessellations.
Extension of classical Euclidean tessellation results to spherical geometries.
Abstract
We consider tessellations of the Euclidean -sphere by -dimensional great subspheres or, equivalently, tessellations of Euclidean -space by hyperplanes through the origin; these we call conical tessellations. For random polyhedral cones defined as typical cones in a conical tessellation by random hyperplanes, and for random cones which are dual to these in distribution, we study expectations for a general class of geometric functionals. They include combinatorial quantities, such as face numbers, as well as, for example, conical intrinsic volumes. For isotropic conical tessellations (those generated by random hyperplanes with spherically symmetric distribution), we determine the complete covariance structure of the random vector whose components are the -face contents of the induced spherical random polytopes. This result can be considered as a spherical counterpart…
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Taxonomy
TopicsPoint processes and geometric inequalities · Geochemistry and Geologic Mapping · Digital Image Processing Techniques
