We give a constructive argument to establish existence of a smooth singular value decomposition (SVD) for a generic $C^k$ symplectic function X. We rely on the explicit structure of the polar factorization of X in order to justify the form of the SVD. Our construction gives a new algorithm to find the SVD of X, which we have used to approximate the Lyapunov exponents of a Hamiltonian differential system. Algorithmic details and an example are given
AbstractA matrix S∈C2m×2m is symplectic if SJS∗=J, whereJ=0Im−Im0.Symplectic matrices play an import...
The problem of numerical computation of a few Lyapunov exponents (LEs) of finite-dimensional dynamic...
This paper extends the singular value decomposition to a path of matricesE(t). An analytic singular ...
We give a constructive argument to establish existence of a smooth singular value decomposition (SV...
In this work we give a constructive argument to establish existence of a smooth singular value decom...
AbstractIn this work we give a constructive argument to establish existence of a smooth singular val...
In this work we give a constructive argument to establish existence of a smooth singular value decom...
In this work we give a constructive argument to establish existence of a smooth singular value decom...
In this work we give a constructive argument to establish existence of a smooth singular value decom...
AbstractIn this paper we consider the singular value decomposition (SVD) of a fundamental matrix sol...
In this work we consider algorithms based on the singular value decomposition (SVD) to approximate L...
In this paper we consider the singular value decomposition (SVD) of a fundamental matrix solution in...
The aim of this study was to introduce a constructive method to compute a symplectic singular value ...
In this work we consider algorithms based on the singular value decomposition (SVD) to approximate L...
In this paper we consider the singular value decomposition (SVD) of a fundamental matrix solution in...
AbstractA matrix S∈C2m×2m is symplectic if SJS∗=J, whereJ=0Im−Im0.Symplectic matrices play an import...
The problem of numerical computation of a few Lyapunov exponents (LEs) of finite-dimensional dynamic...
This paper extends the singular value decomposition to a path of matricesE(t). An analytic singular ...
We give a constructive argument to establish existence of a smooth singular value decomposition (SV...
In this work we give a constructive argument to establish existence of a smooth singular value decom...
AbstractIn this work we give a constructive argument to establish existence of a smooth singular val...
In this work we give a constructive argument to establish existence of a smooth singular value decom...
In this work we give a constructive argument to establish existence of a smooth singular value decom...
In this work we give a constructive argument to establish existence of a smooth singular value decom...
AbstractIn this paper we consider the singular value decomposition (SVD) of a fundamental matrix sol...
In this work we consider algorithms based on the singular value decomposition (SVD) to approximate L...
In this paper we consider the singular value decomposition (SVD) of a fundamental matrix solution in...
The aim of this study was to introduce a constructive method to compute a symplectic singular value ...
In this work we consider algorithms based on the singular value decomposition (SVD) to approximate L...
In this paper we consider the singular value decomposition (SVD) of a fundamental matrix solution in...
AbstractA matrix S∈C2m×2m is symplectic if SJS∗=J, whereJ=0Im−Im0.Symplectic matrices play an import...
The problem of numerical computation of a few Lyapunov exponents (LEs) of finite-dimensional dynamic...
This paper extends the singular value decomposition to a path of matricesE(t). An analytic singular ...