求解多维非特征柯西问题的修正核方法
A Modified Kernel Method for Solving a Non-Characteristic Cauchy Problem in Multiple Dimensions
摘要: 讨论了多维非特征柯西问题,这是一个严重不适定的问题,即解(如果存在的话)不连续地依赖于数据。在简单地分析了频率空间中柯西问题的不适定性之后,提出了一种修正核方法来解决这个问题,从而产生了一个适定的问题,并在正则化参数的先验选择规则下,给出并证明了正则化解和精确解之间的误差估计。
Abstract:
We study a non-characteristic Cauchy problem in multiple dimensions. This is a severely ill-posed problem, i.e., the solution (if it exists) does not depend continuously on the data. After simply ana-lyzing the ill-posedness of the Cauchy problem in the frequency space, we propose to solve this problem by modifying the kernel, which generates a well-posed problem. Error estimates between the exact solution and the regularized solution are given. At last, we employ some numerical ex-amples to illustrate the behavior of the proposed methods.
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