We consider the least-squares finite element method (lsfem) for systems of nonlinear ordinary differential equations and establish an optimal error estimate for this method when piecewise linear elements are used. The main assumptions are that the vector field is sufficiently smooth and that the local Lipschitz constant, as well as the operator norm of the Jacobian matrix associated with the nonlinearity, are sufficiently small when restricted to a suitable neighborhood of the true solution for the considered initial value problem. This theoretic optimality is further illustrated numerically, along with evidence of possible extension to higher-order basis elements. Examples are also presented to show the advantages of lsfem compared with finite difference methods in various scenarios. Suitable modifications for adaptive time-stepping are discussed as well.
翻译:我们认为非线性普通差分方程系统的最小方程有限元素法(elfem)是非线性普通差分方程系统的最小方程限制元素法(elfem),并在使用片断线性元素时为这一方法确定最佳误差估计,主要假设是矢量场足够平滑,当地的Lipschitz常数以及与非线性相关的Jacobian矩阵的操作者规范,如果局限于被认为初始值问题的真正解决方案的适当邻里,则足够小。这种理论优化性在数字上进一步得到说明,并有证据表明可能扩展至更高级基点要素。还提出实例,表明在各种情景中,Isfem与有限差异方法相比的优势。还讨论了适应性时间步调的合适修改。