Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4638892 | Journal of Computational and Applied Mathematics | 2014 | 11 Pages |
Let R∈Rn×nR∈Rn×n and S∈Rn×nS∈Rn×n be nontrivial involutions, i.e., R=R−1≠±I and S=S−1≠±I. A matrix A∈Rn×n is called (R,S)(R,S)-symmetric if RAS=ARAS=A. This paper presents a (R,S)(R,S)-symmetric matrix solution to the inverse eigenproblem with a leading principal submatrix constraint. The solvability condition of the constrained inverse eigenproblem is also derived. The existence, the uniqueness and the expression of the (R,S)(R,S)-symmetric matrix solution to the best approximation problem of the constrained inverse eigenproblem are achieved, respectively. An algorithm is presented to compute the (R,S)(R,S)-symmetric matrix solution to the best approximation problem. Two numerical examples are given to illustrate the effectiveness of our results.