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Multiplicative cascade models and multifractality

Authors: Michael Blank;

Multiplicative cascade models and multifractality

Abstract

We construct a (chaotic) deterministic variant of random multiplicative cascade models of turbulence. It preserves the hierarchical tree structure, thanks to the addition of infinitesimal noise or finite-state Markov approximations of chaotic maps. The zero-noise limit can be handled by Perron-Frobenius theory, just as the zero-diffusivivity limit for the fast dynamo problem. We prove also the absence of phase transitions in conservative random multiplicative cascade models, corresponding to the non divergence of statistical moments.

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selected citations
These citations are derived from selected sources.
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!
2
Average
Average
Average
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