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An inverse eigenvalue problem and a matrix approximation problem for symmetric skew-hamiltonian matrices Export

Numerical Algorithms, Vol. 46, No. 1. (2007), pp. 23-34.

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Abstract  Based on the theory of inverse eigenvalue problem, a correction of an approximate model is discussed, which can be formulated as NX=XΛ, where X and Λ are given identified modal and eigenvalues matrices, respectively. The solvability conditions for a symmetric skew-Hamiltonian matrix N are established and an explicit expression of the solutions is derived. For any estimated matrix C of the analytical model, the best approximation matrix to minimize the Frobenius norm of C − N is provided and some numerical results are presented. A perturbation analysis of the solution is also performed, which has scarcely appeared in existing literatures.


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