JOURNAL ARTICLE

Multifractal spectra for random self-similar measures via branching processes

J. D. BigginsBen HamblyOwen D. Jones

Year: 2011 Journal:   Advances in Applied Probability Vol: 43 (1)Pages: 1-39   Publisher: Cambridge University Press

Abstract

Start with a compact set K ⊂ R d . This has a random number of daughter sets, each of which is a (rotated and scaled) copy of K and all of which are inside K . The random mechanism for producing daughter sets is used independently on each of the daughter sets to produce the second generation of sets, and so on, repeatedly. The random fractal set F is the limit, as n goes to ∞, of the union of the n th generation sets. In addition, K has a (suitable, random) mass which is divided randomly between the daughter sets, and this random division of mass is also repeated independently, indefinitely. This division of mass will correspond to a random self-similar measure on F . The multifractal spectrum of this measure is studied here. Our main contributions are dealing with the geometry of realisations in R d and drawing systematically on known results for general branching processes. In this way we generalise considerably the results of Arbeiter and Patzschke (1996) and Patzschke (1997).

Keywords:
Mathematics Multifractal system Branching process Division (mathematics) Measure (data warehouse) Combinatorics Random compact set Fractal Branching (polymer chemistry) Random element Cantor set Discrete mathematics Random graph Statistical physics Random field Mathematical analysis Statistics Arithmetic Physics

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17
Cited By
2.77
FWCI (Field Weighted Citation Impact)
44
Refs
0.88
Citation Normalized Percentile
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Citation History

Topics

Mathematical Dynamics and Fractals
Physical Sciences →  Mathematics →  Mathematical Physics
Stochastic processes and statistical mechanics
Physical Sciences →  Mathematics →  Mathematical Physics
Theoretical and Computational Physics
Physical Sciences →  Physics and Astronomy →  Condensed Matter Physics

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