We propose two different strategies to find eigenvalues and eigenvectors of a given, not necessarily Hermitian, matrix A. Our methods apply also to the case of complex eigenvalues, making the strategies interesting for applications to physics and to pseudo-Hermitian quantum mechanics in particular. We first consider a dynamical approach, based on a pair of ordinary differential equations defined in terms of the matrix A and of its adjoint A † . Then, we consider an extension of the so-called power method, for which we prove a fixed point theorem for A ≠ A † useful in the determination of the eigenvalues of A and A † . The two strategies are applied to some explicit problems. In particular, we compute the eigenvalues and the eigenvectors of the matrix arising from a recently proposed quantum mechanical system, the truncated Swanson model, and we check some asymptotic features of the Hessenberg matrix.
KEYWORDS estimation of eigenvalues, finite-dimensional Hamiltonian
MSC CLASSIFICATION65F15; 81Q12 *All along this paper, Hermitian and self-adjoint will be used as synonimous. † More in general, H † is the operator satisfying the equality ⟨ , Hg⟩ = ⟨H † , g⟩, for all , g ∈ , the Hilbert space where lives and ⟨., .⟩ is its scalar product.Math Meth Appl Sci. 2020;43:5758-5775. wileyonlinelibrary.com/journal/mma