The Fokker–Planck approach to complex spatiotemporal disordered systems
When the complete understanding of a complex system is not available, as, eg, for systems
considered in the real world, we need a top-down approach to complexity. In this approach …
considered in the real world, we need a top-down approach to complexity. In this approach …
An open source package to perform basic and advanced statistical analysis of turbulence data and other complex systems
We present an open-source package that helps the user to perform a basic statistical
analysis of a given turbulence dataset. We believe that this package is useful to the entire …
analysis of a given turbulence dataset. We believe that this package is useful to the entire …
Explicit construction of joint multipoint statistics in complex systems
Complex systems often involve random fluctuations for which self-similar properties in space
and time play an important role. Fractional Brownian motions, characterized by a single …
and time play an important role. Fractional Brownian motions, characterized by a single …
Multiscale velocity correlations in turbulence and Burgers turbulence: Fusion rules, Markov processes in scale, and multifractal predictions
We compare different approaches towards an effective description of multiscale velocity field
correlations in turbulence. Predictions made by the operator-product expansion, the so …
correlations in turbulence. Predictions made by the operator-product expansion, the so …
Probability density functions in homogeneous and isotropic magneto-hydrodynamic turbulence
J Friedrich - Atmosphere, 2020 - mdpi.com
We derive a hierarchy of evolution equations for multi-point probability density functions in
magneto-hydrodynamic (MHD) turbulence. We discuss the relation to the moment hierarchy …
magneto-hydrodynamic (MHD) turbulence. We discuss the relation to the moment hierarchy …
Generalized description of intermittency in turbulence via stochastic methods
We present a generalized picture of intermittency in turbulence that is based on the theory of
stochastic processes. To this end, we rely on the experimentally and numerically verified …
stochastic processes. To this end, we rely on the experimentally and numerically verified …
[ΒΙΒΛΙΟ][B] Non-perturbative methods in statistical descriptions of turbulence
J Friedrich - 2020 - Springer
The past decades of turbulence research have seen considerable advances in our
understanding of the problem of fluid turbulence: Ever-increasing computational power led …
understanding of the problem of fluid turbulence: Ever-increasing computational power led …
The hierarchy of multi-point probability density functions and characteristic functions in compressible turbulence
The hierarchies of equations for a general multi-point probability density function (PDF) and
its characteristic function (CF) are derived for compressible turbulent flows, obeying the ideal …
its characteristic function (CF) are derived for compressible turbulent flows, obeying the ideal …
[ΒΙΒΛΙΟ][B] Inference methods for stochastic turbulence modeling with a closure perspective
G Sarnitsky - 2021 - search.proquest.com
Lagrangian stochastic turbulence models offer a uniquely rich and intuitive framework for
dealing with turbulence. By directly describing turbulent transport they capture the essential …
dealing with turbulence. By directly describing turbulent transport they capture the essential …
Generalized Brenier Principle and the Closure Problem of Landgren–Monin–Novikov Hierarchy for Vorticity Field
VN Grebenev, AN Grishkov - Doklady Rossijskoj akademii …, 2024 - journals.eco-vector.com
Brenier's concept–a representation of solutions to the equations of ideal incompressible
fluids in terms of probability measures on the set of Lagrangian trajectories in the case of …
fluids in terms of probability measures on the set of Lagrangian trajectories in the case of …