53 research outputs found

    Perturbation theory for Hamiltonian matrices and the distance to bounded-realness

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    Motivated by the analysis of passive control systems, we undertake a detailed perturbation analysis of Hamiltonian matrices that have eigenvalues on the imaginary axis. We construct minimal Hamiltonian perturbations that move and coalesce eigenvalues of opposite sign characteristic to form multiple eigenvalues with mixed sign characteristics, which are then moved from the imaginary axis to specific locations in the complex plane by small Hamiltonian perturbations. We also present a numerical method to compute upper bounds for the minimal perturbations that move all eigenvalues of a given Hamiltonian matrix outside a vertical strip along the imaginary axis

    On Spectral Approximation of Linear Operators

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    AbstractRefined error estimates are obtained for the approximation of discrete spectra of linear operators. It also provides an alternative approach to spectral approximation

    On the construction of nearest defective matrices to a normal matrix

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    AbstractGiven an n-by-n normal matrix A having n distinct eigenvalues, we describe a simple procedure for constructing a defective matrix nearest to A. Our construction requires only an appropriate pair of eigenvalues of A and their corresponding eigenvectors
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