Features arising from randomly multiplicative measures

dc.creatorZhou, Wei-Xing
dc.creatorLiu, Hai-Feng
dc.creatorYu, Zun-Hong
dc.date2000-07-14
dc.date2001-10-04
dc.date.accessioned2026-07-07T05:32:57Z
dc.date.available2026-07-07T05:32:57Z
dc.descriptionUnder the formalism of annealed averaging of the partition function, two types of random multifractal measures with their probability of multipliers satisfying power distribution and triangular distribution are investigated mathematically. In these two illustrations branching emerges in the curve of generalized dimensions, and more abnormally, negative values of generalized dimensions arise. Therefore, we classify the random multifractal measures into three classes based on the discrepancy between the curves of generalized dimensions. Other equivalent classifications are also presented.... We apply the cascade processes studied in this paper to characterize two stochastic processes, i.e., the energy dissipation field in fully developed turbulence and the droplet breakup in atomization. The agreement between the proposed model and the experiments are remarkable.
dc.descriptionFinal version, PDF
dc.identifierhttps://arxiv.org/abs/nlin/0007019
dc.identifierhttp://arxiv.org/abs/nlin/0007019
dc.identifierFractals, Vol. 9, No. 3 (2001) 317-328
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/79841
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectStatistical Mechanics
dc.titleFeatures arising from randomly multiplicative measures
dc.typetext

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