谱问题渐近模型中的局域特征函数

Evgeniya. A. Molchanova
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引用次数: 0

摘要

在期望解形式上构造了含高导数小参数二维谱问题的局域特征函数。在这种情况下,局部化意味着解决方案从“最弱”点或线开始在两个方向上呈指数衰减。这些构造是基于V.P.马斯洛夫引入的算法。作为应用,给出了该算法在薄壳理论问题中的改进。本文给出了该算法的实现,以获得给出特征值和相应特征函数的公式。给出了一个具体问题的求解实例,说明了应用渐近模型的各个阶段。
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Localized eigenfunctions in the asymptotic model of the spectral problem
Localized eigenfunctions in the two-dimensional spectral problem containing a small parameter with higher derivatives are constructed on the expected solution form. Localization in this context means that the solution exponentially decays in both direc-tions starting from the "weakest" point or line. The constructions are based on the algo-rithm introduced by V.P. Maslov. A modification of this algorithm for the thin shell theory problems is given as an application. The paper shows implementation of the algorithm to obtain formulas giving eigenvalues and corresponding eigenfunctions. An example of solving a specific problem is given, illustrating stages of the applied asymptotic model.
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CiteScore
0.90
自引率
66.70%
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