{"title":"具有对比结构的非线性微分方程Cauchy问题的参数化","authors":"E. Kuznetsov, S. Leonov, E. Tsapko","doi":"10.15507/0236-2910.028.201804.486-510","DOIUrl":null,"url":null,"abstract":"Introduction. The paper provides an analysis of numerical methods for solving the Cauchy problem for nonlinear ordinary differential equations with contrast structures (interior layers). Similar equations simulate various applied problems of hydro- and aeromechanics, chemical kinetics, the theory of catalytic reactions, etc. An analytical solution to these problems is rarely obtained, and numerical procedure is related with significant difficulties associated with ill-conditionality in the neighborhoods of the boundary and interior layers. The aim of the paper is the scope analysis of traditional numerical methods for solving this class problems and approbation of alternative solution methods. \nMaterials and methods. The traditional explicit Euler and fourth-order Runge-Kutta methods, as well as the implicit Euler method with constant and variable step sizes are used for the numerical solution of the Cauchy problem. The method of solution continuation with respect to the best argument is suggested as an alternative to use. The solution continuation method consists in replacing the original argument of the problem with a new one, measured along the integral curve of the problem. The transformation to the best argument allows obtaining the best conditioned Cauchy problem. \nResults. The computational difficulties arising when solving the equations with contrast structures by traditional explicit and implicit methods are shown on the example of the test problem solution. These difficulties are expressed in a significant decrease of the step size in the neighborhood of the boundary and interior layers. It leads to the increase of the computational time, as well as to the complication of the solving process for super stiff problems. The authenticity of the obtained results is confirmed by the comparison with the analytical solution and the works of other authors. \nConclusions. The results of the computational experiment demonstrate the applicability of the traditional methods for solving the Cauchy problem for equations with contrast structures only at low stiffness. In other cases these methods are ineffective. It is shown that the method of solution continuation with respect to the best argument allows eliminating most of the disadvantages inherent to the original problem. It is reflected in decreasing the computational time and in increasing the solution accuracy.\n\nKeywords: contrast structures, method of solution continuation, the best argument, illconditionality, the Cauchy problem, ordinary differential equation\n\nFor citation: Kuznetsov E. B., Leonov S. S., Tsapko E. D. The Parametrization of the Cauchy Problem for Nonlinear Differential Equations with Contrast Structures. Vestnik Mordovskogo universiteta = Mordovia University Bulletin. 2018; 28(4):486–510. DOI: https://doi.org/10.15507/0236-2910.028.201804.486-510\n\nAcknowledgements: This work was supported by the Russian Science Foundation, project no. 18-19-00474.","PeriodicalId":53930,"journal":{"name":"Mordovia University Bulletin","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Parametrization of the Cauchy Problem for Nonlinear Differential Equations with Contrast Structures\",\"authors\":\"E. Kuznetsov, S. Leonov, E. Tsapko\",\"doi\":\"10.15507/0236-2910.028.201804.486-510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction. The paper provides an analysis of numerical methods for solving the Cauchy problem for nonlinear ordinary differential equations with contrast structures (interior layers). Similar equations simulate various applied problems of hydro- and aeromechanics, chemical kinetics, the theory of catalytic reactions, etc. An analytical solution to these problems is rarely obtained, and numerical procedure is related with significant difficulties associated with ill-conditionality in the neighborhoods of the boundary and interior layers. The aim of the paper is the scope analysis of traditional numerical methods for solving this class problems and approbation of alternative solution methods. \\nMaterials and methods. The traditional explicit Euler and fourth-order Runge-Kutta methods, as well as the implicit Euler method with constant and variable step sizes are used for the numerical solution of the Cauchy problem. The method of solution continuation with respect to the best argument is suggested as an alternative to use. The solution continuation method consists in replacing the original argument of the problem with a new one, measured along the integral curve of the problem. The transformation to the best argument allows obtaining the best conditioned Cauchy problem. \\nResults. The computational difficulties arising when solving the equations with contrast structures by traditional explicit and implicit methods are shown on the example of the test problem solution. These difficulties are expressed in a significant decrease of the step size in the neighborhood of the boundary and interior layers. It leads to the increase of the computational time, as well as to the complication of the solving process for super stiff problems. The authenticity of the obtained results is confirmed by the comparison with the analytical solution and the works of other authors. \\nConclusions. The results of the computational experiment demonstrate the applicability of the traditional methods for solving the Cauchy problem for equations with contrast structures only at low stiffness. In other cases these methods are ineffective. It is shown that the method of solution continuation with respect to the best argument allows eliminating most of the disadvantages inherent to the original problem. It is reflected in decreasing the computational time and in increasing the solution accuracy.\\n\\nKeywords: contrast structures, method of solution continuation, the best argument, illconditionality, the Cauchy problem, ordinary differential equation\\n\\nFor citation: Kuznetsov E. B., Leonov S. S., Tsapko E. D. The Parametrization of the Cauchy Problem for Nonlinear Differential Equations with Contrast Structures. Vestnik Mordovskogo universiteta = Mordovia University Bulletin. 2018; 28(4):486–510. 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引用次数: 1
摘要
介绍。本文分析了具有对比结构(内层)的非线性常微分方程的柯西问题的数值求解方法。类似的方程模拟了水力和空气力学、化学动力学、催化反应理论等各种应用问题。这些问题的解析解很少得到,并且数值过程与边界和内层邻域的病态性相关的重大困难有关。本文的目的是对求解该类问题的传统数值方法的范围进行分析,并对替代求解方法进行认可。材料和方法。采用传统的显式欧拉法和四阶龙格-库塔法以及定步长和变步长隐式欧拉法对柯西问题进行了数值求解。建议采用最佳论证的解延拓法作为备选方法。解延拓法是用沿着问题的积分曲线测量的新参数代替问题的原参数。通过对最佳论证的变换,可以得到最佳条件柯西问题。结果。通过算例说明了用传统的显式和隐式方法求解具有对比结构的方程时的计算困难。这些困难表现在边界层和内层附近的步长显著减小。这不仅增加了计算时间,而且使超刚性问题的求解过程更加复杂。通过与解析解和其他作者的著作的比较,证实了所得结果的真实性。结论。计算实验结果表明,传统方法仅在低刚度条件下对具有对比结构的方程组求解柯西问题具有适用性。在其他情况下,这些方法是无效的。结果表明,关于最佳论证的解延拓方法可以消除原问题固有的大部分缺点。它体现在减少计算时间和提高求解精度上。关键词:对比结构,解连续法,最佳论证,非条件性,柯西问题,常微分方程。引用本文:Kuznetsov E. B., Leonov S. S., Tsapko E. D.。Vestnik Mordovskogo universiteta =莫尔多维亚大学公报2018;28(4): 486 - 510。本文由俄罗斯科学基金会资助,项目编号:https://doi.org/10.15507/0236-2910.028.201804.486-510Acknowledgements:。18-19-00474。
The Parametrization of the Cauchy Problem for Nonlinear Differential Equations with Contrast Structures
Introduction. The paper provides an analysis of numerical methods for solving the Cauchy problem for nonlinear ordinary differential equations with contrast structures (interior layers). Similar equations simulate various applied problems of hydro- and aeromechanics, chemical kinetics, the theory of catalytic reactions, etc. An analytical solution to these problems is rarely obtained, and numerical procedure is related with significant difficulties associated with ill-conditionality in the neighborhoods of the boundary and interior layers. The aim of the paper is the scope analysis of traditional numerical methods for solving this class problems and approbation of alternative solution methods.
Materials and methods. The traditional explicit Euler and fourth-order Runge-Kutta methods, as well as the implicit Euler method with constant and variable step sizes are used for the numerical solution of the Cauchy problem. The method of solution continuation with respect to the best argument is suggested as an alternative to use. The solution continuation method consists in replacing the original argument of the problem with a new one, measured along the integral curve of the problem. The transformation to the best argument allows obtaining the best conditioned Cauchy problem.
Results. The computational difficulties arising when solving the equations with contrast structures by traditional explicit and implicit methods are shown on the example of the test problem solution. These difficulties are expressed in a significant decrease of the step size in the neighborhood of the boundary and interior layers. It leads to the increase of the computational time, as well as to the complication of the solving process for super stiff problems. The authenticity of the obtained results is confirmed by the comparison with the analytical solution and the works of other authors.
Conclusions. The results of the computational experiment demonstrate the applicability of the traditional methods for solving the Cauchy problem for equations with contrast structures only at low stiffness. In other cases these methods are ineffective. It is shown that the method of solution continuation with respect to the best argument allows eliminating most of the disadvantages inherent to the original problem. It is reflected in decreasing the computational time and in increasing the solution accuracy.
Keywords: contrast structures, method of solution continuation, the best argument, illconditionality, the Cauchy problem, ordinary differential equation
For citation: Kuznetsov E. B., Leonov S. S., Tsapko E. D. The Parametrization of the Cauchy Problem for Nonlinear Differential Equations with Contrast Structures. Vestnik Mordovskogo universiteta = Mordovia University Bulletin. 2018; 28(4):486–510. DOI: https://doi.org/10.15507/0236-2910.028.201804.486-510
Acknowledgements: This work was supported by the Russian Science Foundation, project no. 18-19-00474.