Intrinsic volumes of the maximal polytope process in higher dimensional STIT tessellations
Stationary and isotropic iteration stable random tessellations are considered, which are constructed by a random process of iterative cell division. The collection of maximal polytopes at a fixed time t within a convex window is regarded and formulas for mean values, variances and a characterization of certain covariance measures are proved. The focus is on the case d>=3, which is different from the planar one, treated separately in Schreiber and Thäle (2010)Â [12]. Moreover, a limit theorem for suitably rescaled intrinsic volumes is established, leading -- in sharp contrast to the situation in the plane -- to a non-Gaussian limit.
Year of publication: |
2011
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Authors: | Schreiber, Tomasz ; Thäle, Christoph |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 121.2011, 5, p. 989-1012
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Publisher: |
Elsevier |
Keywords: | Central limit theory Integral geometry Intrinsic volumes Iteration/Nesting Markov process Martingale Random tessellation Stochastic stability Stochastic geometry |
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