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Chaos in Partial Differential Equations (2004)

by Y Li
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On the true nature of turbulence

by Y Charles Li - The Mathematical Intelligencer
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... e-mail: cl@math.missouri.edu Re -1 ui,/! in the Navier-Stokes equations (1.1) by higher-order derivatives like (1.2) to better model the fluid motion. Even after the global regularity of (1.1) is proved or disproved, the problem of turbulence is not solved, although the global regularity information will help in understanding turbulence. Turbulence is more of a dynamical system problem. Often a dynamical system study does not depend on global well-posedness; local well-posedness is often enough. In fact, this is the case in my proof on the existence of chaos in partial-differential equations [12]. Chaos in Partial-Differential Equations Ever since the discovery of chaos in low-dimensional systems, people have been trying to use the concept of chaos to understand turbulence [191. As mentioned before, there are two types of fluid motions: laminar flows and turbulent flows. Laminar flows look smooth, and turbulent flows are non-laminar and look rough. Chaos can be made more precise, as in the example below. On the other hand, even in low-dimensional systems, there are solutions which look chaotic for a while, and then look non-chaotic again. Such a dynamic is often called a "transient ch...

On quasi-periodic boundary condition problem

by Y Charles Li - J. Math. Phys , 2005
"... The paper raises the question of posing the quasiperiodic boundary condition in the Cauchy problem of partial differential equations. Using the one-dimensional cubic nonlinear Schrödinger as a simple example, we illustrated the various types of questions including global well-posedness, spectra of ..."
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The paper raises the question of posing the quasiperiodic boundary condition in the Cauchy problem of partial differential equations. Using the one-dimensional cubic nonlinear Schrödinger as a simple example, we illustrated the various types of questions including global well-posedness, spectra of linear operators, and foliations.

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by Data Assimilation Ensembles, Michael Baskara, Laksana Adi Siek
"... born in Jember, Indonesia This dissertation has been approved by the supervisor Prof. dr. D. P. Solomatine ..."
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born in Jember, Indonesia This dissertation has been approved by the supervisor Prof. dr. D. P. Solomatine
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...the timesevolution of the system given some initial conditions and the time evolution is defined inssome phase space Γ∈ℜd.sSuch nonlinear systems can exhibit deterministic chaos (Hirsch etsal., 2004; =-=Li, 2004-=-), this is a natural starting point when irregularity is present in a signal orstime series. Deterministic chaos comprises a class of signal intermediate between regularssinusoidal or quasi-periodic m...

Nonlinear Processes in Geophysics Nonlinear chaotic model for predicting storm surges

by M. Siek, D. P. Solomatine
"... Abstract. This paper addresses the use of the methods of nonlinear dynamics and chaos theory for building a predictive chaotic model from time series. The chaotic model predictions are made by the adaptive local models based on the dynamical neighbors found in the reconstructed phase space of the ob ..."
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Abstract. This paper addresses the use of the methods of nonlinear dynamics and chaos theory for building a predictive chaotic model from time series. The chaotic model predictions are made by the adaptive local models based on the dynamical neighbors found in the reconstructed phase space of the observables. We implemented the univariate and multivariate chaotic models with direct and multi-steps prediction techniques and optimized these models using an exhaustive search method. The built models were tested for predicting storm surge dynamics for different stormy conditions in the North Sea, and are compared to neural network models. The results show that the chaotic models can generally provide reliable and accurate short-term storm surge predictions. 1
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