University of Oulu

Berlinkov, A. & Järvenpää, E. J Theor Probab (2019) 32: 608.

Porosities of Mandelbrot percolation

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Author: Berlinkov, Artemi1,2; Järvenpää, Esa3
Organizations: 1Department of Mathematics, Bar-Ilan University, 5290002 Ramat Gan, Israel
2University ITMO, St. Petersburg, Russian Federation
3Department of Mathematical Sciences, University of Oulu, PO Box 3000, 90014 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Springer Nature, 2019
Publish Date: 2020-06-01


We study porosities in the Mandelbrot percolation process using a notion of porosity that is based on the construction geometry. We show that, almost surely at almost all points with respect to the natural measure, the construction-based mean porosities of the set and the natural measure exist and are equal to each other for all parameter values outside of a countable exceptional set. As a corollary, we obtain that, almost surely at almost all points, the regular lower porosities of the set and the natural measure are equal to zero, whereas the regular upper porosities reach their maximum values.

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Series: Journal of theoretical probability
ISSN: 0894-9840
ISSN-E: 1572-9230
ISSN-L: 0894-9840
Volume: 32
Issue: 2
Pages: 608 - 632
DOI: 10.1007/s10959-019-00895-z
Type of Publication: A1 Journal article – refereed
Field of Science: 111 Mathematics
Funding: Artemi Berlinkov was partially supported by the Department of Mathematics at University of Jyväskylä; DFG-Graduirtenkolleg “Approximation und algorithmische Verfahren” at the University of Jena; Israel Science Foundation Grant 396/15; Center for Absorption in Science, Ministry of Immigrant Absorption, State of Israel. Esa Järvenpää acknowledges the support of the Centre of Excellence in Analysis and Dynamics Research funded by the Academy of Finland and thanks the ICERM semester program on “Dimension and Dynamics” and the Institute Mittag-Leffler program on “Fractal Geometry and Dynamics”.
Copyright information: © Springer Science+Business Media, LLC, part of Springer Nature 2019. This is a post-peer-review, pre-copyedit version of an article published in Journal of Theoretical Probability. The final authenticated version is available online at: