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Prediction of multiplicity of solutions of nonlinear boundary value problems: Novel application of homotopy analysis method

机译:非线性边值问题解的多重性预测:同伦分析方法的新应用

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摘要

The purpose of the present paper is to introduce a method, probably for the first time, to predict the multiplicity of the solutions of nonlinear boundary value problems. This procedure can be easily applied on nonlinear ordinary differential equations with boundary conditions. This method, as will be seen, besides anticipating of multiplicity of the solutions of the nonlinear differential equations, calculates effectively the all branches of the solutions (on the condition that, there exist such solutions for the problem) analytically at the same time. In this manner, for practical use in science and engineering, this method might give new unfamiliar class of solutions which is of fundamental interest and furthermore, the proposed approach convinces to apply it on nonlinear equations by today's powerful software programs so that it does not need tedious stages of evaluation and can be used without studying the whole theory. In fact, this technique has new point of view to well-known powerful analytical method for nonlinear differential equations namely homotopy analysis method (HAM). Everyone familiar to HAM knows that the convergence-controller parameter plays important role to guarantee the convergence of the solutions of nonlinear differential equations. It is shown that the convergence-controller parameter plays a fundamental role in the prediction of multiplicity of solutions and all branches of solutions are obtained simultaneously by one initial approximation guess, one auxiliary linear operator and one auxiliary function. The validity and reliability of the method is tested by its application to some nonlinear exactly solvable differential equations which is practical in science and engineering.
机译:本文的目的是可能首次引入一种方法来预测非线性边值问题的解的多重性。此过程可以轻松地应用于带有边界条件的非线性常微分方程。可以看到,该方法除了预期非线性微分方程解的多重性之外,还可以有效地同时解析地计算解的所有分支(在存在此类问题的条件下)。以这种方式,对于科学和工程中的实际应用,该方法可能会给出新的陌生类的解决方案,这些解决方案具有根本的意义,此外,所提出的方法说服了当今功能强大的软件程序将其应用于非线性方程,因此不需要繁琐的评估阶段,无需研究整个理论就可以使用。实际上,这种技术对著名的非线性微分方程强大的解析方法即同伦分析法(HAM)具有新的观点。 HAM熟悉的每个人都知道,收敛控制器参数对于保证非线性微分方程解的收敛性起着重要作用。结果表明,收敛控制器参数在解的多重性预测中起着至关重要的作用,解的所有分支都是通过一个初始近似猜测,一个辅助线性算子和一个辅助函数同时获得的。通过将该方法应用于在科学和工程中很实用的一些非线性可精确求解的微分方程,验证了该方法的有效性和可靠性。

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