QA351 : An SVD-like matrix decomposition and its applications
Thesis > Central Library of Shahrood University > Mathematical Sciences > MSc > 2016
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Abstarct: Symplectic matrices play an important role in the analysis and numerical solution of
matrix problems.
Symplectic similarity transformations preserve the structures of Hamiltonian, skew Hamiltanian
and symplectic matrices. baxsed on this fact symplectic matrices are used as the
basic tool in the analysis and the numerical solution of Hamiltonian, skew Hamiltonian
and symplectic eigenvalue problems. In this thesis several matrix factorizations related to
symplectic matrices is provided and a singular value-like decomposition B = QDS
Keywords:
#Skew-symmetric matrix; Symplectic matrix; Orthogonal (unitary) symplectic matrix; Hamiltonian matrix; Eigenvalue problem; Singular value decomposition (SVD); SVD-like decomposition; BJBT factorization; Schur form; Jordan canonical form
Keeping place: Central Library of Shahrood University
Visitor:
Keeping place: Central Library of Shahrood University
Visitor: