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Exact Hausdorff and packing measures for random self-similar code-trees with necks

Authors: Troscheit, Sascha;

Exact Hausdorff and packing measures for random self-similar code-trees with necks

Abstract

Random code-trees with necks were introduced recently to generalise the notion of $V$-variable and random homogeneous sets. While it is known that the Hausdorff and packing dimensions coincide irrespective of overlaps, their exact Hausdorff and packing measure has so far been largely ignored. In this article we consider the general question of an appropriate gauge function for positive and finite Hausdorff and packing measure. We first survey the current state of knowledge and establish some bounds on these gauge functions. We then show that self-similar code-trees do not admit a gauge functions that simultaneously give positive and finite Hausdorff measure almost surely. This surprising result is in stark contrast to the random recursive model and sheds some light on the question of whether $V$-variable sets interpolate between random homogeneous and random recursive sets. We conclude by discussing implications of our results.

28 pages

Keywords

101027 Dynamische Systeme, random code-trees, Dynamical Systems (math.DS), Exact Hausdorff measure, Mathematics - Metric Geometry, FOS: Mathematics, dimension theory, exact Hausdorff measure, DIMENSION, Mathematics - Dynamical Systems, Gauge functions, 101027 Dynamical systems, Matematik, self-similarity, V-VARIABLE FRACTALS, packing measure, Probability (math.PR), Metric Geometry (math.MG), 28A78, 28A80, 37C45, 60J80, gauge functions, Packing measure, Self-similarity, Random code-trees, Dimension theory, Mathematics, Mathematics - Probability

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
bronze