An Implicitly Symplectic Lanczos Algorithm for Hamiltonian Matrices
Abstract
The purpose of this paper is to outline a structure-preserving Lanczos-type algorithm, named implicitly symplectic Lanczos algorithm for real Hamiltonian matrices. The algorithm is based on a symplectic reduction procedure of Hamiltonian matrix using symplectic similarity transformations with symplectic reflectors defined on R2n×2. Numerical results for the proposed algorithm are treated.
Keywords
Krylov subspace, Hamiltonian, Skew-Hamiltonian and symplectic matrices, symplectic reflector, Symplectic Arnoldi, J-Hessenberg form, Symplectic Lanczos.