...
首页> 外文期刊>Journal of engineering mathematics >The series expansion and Chebyshev collocation method for nonlinear singular two-point boundary value problems
【24h】

The series expansion and Chebyshev collocation method for nonlinear singular two-point boundary value problems

机译:非线性奇异两点边值问题的系列膨胀与Chebyshev搭配方法

获取原文
获取原文并翻译 | 示例
           

摘要

The solution of singular two-point boundary value problem is usually not sufficiently smooth at one or two endpoints of the interval, which leads to a great difficulty when the problem is solved numerically. In this paper, an algorithm is designed to recognize the singular behavior of the solution and then solve the equation efficiently. First, the singular problem is transformed to a Fredholm integral equation of the second kind via Green's function. Second, the truncated fractional series of the solution about the singularity is formulated by using Picard iteration and implementing series expansion for the nonlinear function. Third, a suitable variable transformation is performed by using the known singular information of the solution such that the solution of the transformed equation is sufficiently smooth. Fourth, the Chebyshev collocation method is used to solve the deduced equation to obtain approximate solution with high precision. Fifth, the convergence analysis of the collocation method is conducted in weighted Sobolev spaces for linear singular equations. Sixth, numerical examples confirm the effectiveness of the algorithm. Finally, the Thomas-Fermi equation and the Emden-Fowler equation as some applications are accurately solved by the method.
机译:奇异两点边值问题的解决方案通常在间隔的一个或两个端点处通常不充分光滑,这导致在数值上解决问题时产生很大的困难。在本文中,设计了一种算法识别解决方案的奇异行为,然后有效地解决方程。首先,奇异问题通过绿色的功能转换为第二种类的Fredholm积分方程。其次,通过使用图马德迭代并为非线性函数实施串联扩展来配制关于奇点的截断的分数系列。第三,通过使用溶液的已知奇异信息来执行合适的可变变换,使得变换式等式的溶液充分光滑。第四,Chebyshev Collocation方法用于解决推导的等式,以获得高精度的近似解。第五,搭配方法的收敛性分析在加权Sobolev空间中进行线性奇异方程。第六,数值例子证实了算法的有效性。最后,通过该方法精确解决了作为一些应用的托马斯 - 费米方程和emden-fowler方程。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号