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An inverse eigenvalue problem for Jacobi matrices with a missing eigenvalue
Applied Mathematics Letters ( IF 2.9 ) Pub Date : 2022-06-25 , DOI: 10.1016/j.aml.2022.108282
Bin He , Min Wang , Guangsheng Wei

We consider an inverse eigenvalue problem for constructing an n×n Jacobi matrix Jn under the circumstance that its all eigenvalues, except for one and a part of the matrix Jn are given. To be precise, the known partial data of Jn means either its leading principal submatrix J[(n+1)/2] when n is odd, or the submatrix J[(n+1)/2] together with the [(n+1)/2]×(n/2+1) codiagonal element when n is even. The necessary and sufficient conditions for the solvability of the problem is derived, also the numerical algorithm and a numerical example are provided.



中文翻译:

具有缺失特征值的 Jacobi 矩阵的逆特征值问题

我们考虑一个反特征值问题来构造一个n×n雅可比矩阵Ĵn在它的所有特征值,除了一个和一部分矩阵的情况下Ĵn给出。准确地说,已知的部分数据Ĵn表示其领先的主子矩阵Ĵ[(n+1)/2]什么时候n是奇数,或子矩阵Ĵ[(n+1)/2]连同[(n+1)/2]×(n/2+1)对角元素当n甚至。推导了该问题可解性的充要条件,给出了数值算法和数值算例。

更新日期:2022-06-25
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