Dynamical random multiplicative cascade model in 1+1 dimensions
Juergen Schmiegel, Hans C. Eggers, and Martin Greiner

TL;DR
This paper introduces a dynamical random multiplicative cascade model in 1+1 dimensions to describe the evolution of multifractal fields like turbulence, with analytical calculations of correlation functions.
Contribution
It presents a novel dynamical generalization of geometrical cascade models, capturing continuous stochastic evolution in space and time.
Findings
Derived two-point correlation functions for the model
Demonstrated the model's applicability to turbulence fields
Provided analytical tools for studying multifractal dynamics
Abstract
Geometrical random multiplicative cascade processes are often used to model positive-valued multifractal fields such as for example the energy dissipation field of fully developed turbulence. A dynamical generalisation of these models is proposed, which describes the continuous and homogeneous stochastic evolution of the field in one space and one time dimension. Two-point correlation functions are calculated.
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Taxonomy
TopicsComplex Network Analysis Techniques · Opinion Dynamics and Social Influence · Stochastic processes and statistical mechanics
