A set is called self-similar if it is decomposable into parts which are similar to the whole. This notion was generalized to random sets. In the present paper an alternative, axiomatic approach is given which makes precise the following idea (using Palm distribution theory): A random set is statisti
Self-similar random measures are locally scale invariant
✍ Scribed by N. Patzschke; M. Zähle
- Publisher
- Springer
- Year
- 1993
- Tongue
- English
- Weight
- 635 KB
- Volume
- 97
- Category
- Article
- ISSN
- 1432-2064
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📜 SIMILAR VOLUMES
We shall show that the oscillations observed by R. S. Strichartz in the Fourier transforms of self-similar measures have a large-scale renormalisation given by a Riesz measure. Vice versa the Riesz measure itself will be shown to be self-similar around every triadic point.
## Abstract In this paper we study the limit behavior of weighted averages of some random sequence related to Bernoulli random variables, and apply the results to average density of self‐similar measures. © 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim
Let K and µ be the self-similar set and the self-similar measure associated with an iterated function system with probabilities (Si, pi)i=1,...,N satisfying the Open Set Condition. Let Σ = {1, . . . , N} N denote the full shift space and let π : Σ → K denote the natural projection. The (symbolic) lo