Numerical Validations of the Tangent Linear Model for the Lorenz Equations

Abstract: The validity of the tangent linear model (TLM) is studied numerically using the example of the Lorenz equations in this paper. The relationship between the limit of the validity time of the TLM and initial perturbations for the Lorenz equations is investigated using the Monte Carlo sampling method. A new error function between the nonlinear and the linear evolution of the perturbations is proposed. Furthermore, numerical sensitivity analysis is carried to establish the relationship between parameters and the validity of the TLM, such as the initial perturbation, the prediction time, the time step size and so on, by the method of mathematical statistics.

[1]  Sara Faghih-Naini,et al.  Quasi-Periodic Orbits in the Five-Dimensional Nondissipative Lorenz Model: The Role of the Extended Nonlinear Feedback Loop , 2018, Int. J. Bifurc. Chaos.

[2]  V. Anishchenko,et al.  Chimera states and intermittency in an ensemble of nonlocally coupled Lorenz systems. , 2018, Chaos.

[3]  S. Al-Awfi,et al.  A complete and partial integrability technique of the Lorenz system , 2017, Results in Physics.

[4]  Xiaofeng Liao,et al.  Dynamical behavior of a generalized Lorenz system model and its simulation , 2016, Complex..

[5]  Non-linear and linear evolution of perturbation in stochastic basic flows , 2015 .

[6]  Pan Zheng,et al.  New results of the ultimate bound on the trajectories of the family of the Lorenz systems , 2015 .

[7]  Jianping Li,et al.  Relationships between the limit of predictability and initial error in the uncoupled and coupled lorenz models , 2012, Advances in Atmospheric Sciences.

[8]  Mu Mu,et al.  Conditional nonlinear optimal perturbation: Applications to stability, sensitivity, and predictability , 2009 .

[9]  Junyi Yu,et al.  Chaotic time series prediction: From one to another , 2009 .

[10]  Zhenyuan Xu,et al.  Controlling chaos with periodic parametric perturbations in Lorenz system , 2007 .

[11]  Zhiyue Zhang,et al.  Conditional Nonlinear Optimal Perturbations of a Two-Dimensional Quasigeostrophic Model , 2006 .

[12]  Analysis of the multiplicative Lorenz system , 2005 .

[13]  C. Foias,et al.  On the behavior of the Lorenz equation backward in time , 2005 .

[14]  M. T. Yassen,et al.  Chaos synchronization between two different chaotic systems using active control , 2005 .

[15]  Tianshou Zhou,et al.  The complicated trajectory behaviors in the Lorenz equation , 2004 .

[16]  Her-Terng Yau,et al.  Control of chaos in Lorenz system , 2002 .

[17]  Hendrik Richter,et al.  Controlling the Lorenz system: combining global and local schemes , 2001 .

[18]  David W. Zingg,et al.  Runge-Kutta methods for linear ordinary differential equations , 1999 .

[19]  Y. Cherruault,et al.  Numerical study of Lorenz's equation by the Adomian method , 1997 .

[20]  J. Verwer Explicit Runge-Kutta methods for parabolic partial differential equations , 1996 .

[21]  Brian F. Farrell,et al.  Small Error Dynamics and the Predictability of Atmospheric Flows. , 1990 .

[22]  E. Lorenz Atmospheric predictability experiments with a large numerical model , 1982 .

[23]  Michael Tabor,et al.  Analytic structure of the Lorenz system , 1981 .

[24]  E. Lorenz A study of the predictability of a 28-variable atmospheric model , 1965 .

[25]  E. Lorenz Deterministic nonperiodic flow , 1963 .