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A framework of verified eigenvalue bounds for self-adjoint differential operators

机译:自伴微分算子的经验证特征值边界的框架

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摘要

For eigenvalue problems of self-adjoint differential operators, a universal framework is proposed to give explicit lower and upper bounds for the eigenvalues. In the case of the Laplacian operator, by applying Crouzeix-Raviart finite elements, an efficient algorithm is developed to bound the eigenvalues for the Laplacian defined in 1D, 2D and 3D spaces. Moreover, for nonconvex domains, for which case there may exist singularities of eigen-functions around re-entrant corners, the proposed algorithm can easily provide eigenvalue bounds. By further adopting the interval arithmetic, the explicit eigenvalue bounds from numerical computations can be mathematically correct. (C) 2015 Elsevier Inc. All rights reserved.
机译:对于自伴微分算子的特征值问题,提出了一个通用框架来明确给出特征值的上下限。对于拉普拉斯算子,通过应用Crouzeix-Raviart有限元,开发了一种有效的算法来绑定在1D,2D和3D空间中定义的Laplacian的特征值。此外,对于非凸域,在这种情况下可能在折角附近存在本征函数的奇异性,因此该算法可以轻松提供本征值边界。通过进一步采用间隔算法,数值计算中的显式特征值边界可以在数学上正确。 (C)2015 Elsevier Inc.保留所有权利。

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