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Numerical Validations of the Tangent Linear Model for the Lorenz Equations

Tengjin Zhao1, Jing Zhang1, Zhilin Li2, Zhiyue Zhang1,*

School of Mathematical Sciences, Jiangsu Provincial Key Laboratory for Numerical Simulation of Large Scale Complex Systems, Nanjing Normal University, Nanjing, 210023, China.
Department of Mathematics, North Carolina State University, Raleigh, NC 27695-8205, USA.

*Corresponding Author: Zhiyue Zhang. Email: email.

Computer Modeling in Engineering & Sciences 2019, 120(1), 83-104. https://doi.org/10.32604/cmes.2019.04483

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.

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APA Style
Zhao, T., Zhang, J., Li, Z., Zhang, Z. (2019). Numerical validations of the tangent linear model for the lorenz equations. Computer Modeling in Engineering & Sciences, 120(1), 83-104. https://doi.org/10.32604/cmes.2019.04483
Vancouver Style
Zhao T, Zhang J, Li Z, Zhang Z. Numerical validations of the tangent linear model for the lorenz equations. Comput Model Eng Sci. 2019;120(1):83-104 https://doi.org/10.32604/cmes.2019.04483
IEEE Style
T. Zhao, J. Zhang, Z. Li, and Z. Zhang, “Numerical Validations of the Tangent Linear Model for the Lorenz Equations,” Comput. Model. Eng. Sci., vol. 120, no. 1, pp. 83-104, 2019. https://doi.org/10.32604/cmes.2019.04483



cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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