Article ID Journal Published Year Pages File Type
4632472 Applied Mathematics and Computation 2009 6 Pages PDF
Abstract
In this paper, we first give the representation of the general solution of the following inverse eigenvalue problem (IEP): Given X∈Rn×p and a diagonal matrix Λ∈Rp×p, find real-valued symmetric (2r+1)-diagonal matrices M and K such that MXΛ=KX. We then consider an optimal approximation problem: Given real-valued symmetric (2r+1)-diagonal matrices Ma,Ka∈Rn×n, find (Mˆ,Kˆ)∈SMK such that ‖Mˆ-Ma‖2+‖Kˆ-Ka‖2=inf(M,K)∈SMK(‖M-Ma‖2+‖K-Ka‖2), where SMK is the solution set of IEP. We show that the optimal approximation solution (Mˆ,Kˆ) is unique and derive an explicit formula for it.
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
Authors
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