The volume of simplices in high-dimensional Poisson-Delaunay tessellations
Anna Gusakova, Christoph Thaele

TL;DR
This paper investigates the volume distribution of weighted simplices in high-dimensional Poisson-Delaunay tessellations, establishing a central limit theorem and analyzing deviations, with results applicable to various weight parameters and dimension-dependent cases.
Contribution
It provides the first sharp bounds on cumulants and proves a central limit theorem for the logarithmic volume of weighted simplices in high dimensions.
Findings
Logarithmic volume satisfies a central limit theorem as dimension grows.
Provides rates of convergence and concentration inequalities.
Analyzes large deviations and mod-$ ext{phi}$ convergence for fixed weights.
Abstract
Typical weighted random simplices , , in a Poisson-Delaunay tessellation in are considered, where the weight is given by the st power of the volume. As special cases this includes the typical () and the usual volume-weighted () Poisson-Delaunay simplex. By proving sharp bounds on cumulants it is shown that the logarithmic volume of satisfies a central limit theorem in high dimensions, that is, as . In addition, rates of convergence are provided. In parallel, concentration inequalities as well as moderate deviations are studied. The set-up allows the weight to depend on the dimension as well. A number of special cases are discussed separately. For fixed also mod- convergence and the large deviations behaviour of the logarithmic volume of are investigated.
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Taxonomy
TopicsPoint processes and geometric inequalities · Geometric Analysis and Curvature Flows · Diffusion and Search Dynamics
