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arXiv 0709.4664math.CA
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一个检验常微分方程整体解的渐近数值方法

An asymptotic-numerical approach for examining global solutions to an ordinary differential equation

Michael Robinson

摘要:

对于无穷区间上的非线性常微分方程,一般的数值方法并不总是能精确地求出所有的整体解。例如,有限差分法无法捕捉解的渐近行为,而这对于确保全局存在性可能是至关重要的。我们首先展示,通过一个详细的例子,如何渐近信息单独提供了重要的洞察力的结构的全局解决方案的非线性常微分方程。然后,我们提出了一种方法,提供这种失踪的渐近数据的数值求解器,并显示如何结合的方法提供更详细的结果比单独的方法。

英文摘要:

Purely numerical methods do not always provide an accurate way to find all the global solutions to nonlinear ODE on infinite intervals. For example, finite-difference methods fail to capture the asymptotic behavior of solutions, which might be critical for ensuring global existence. We first show, by way of a detailed example, how asymptotic information alone provides significant insight into the structure of global solutions to a nonlinear ODE. Then we propose a method for providing this missing asymptotic data to a numerical solver, and show how the combined approach provides more detailed results than either method alone.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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