We study operator Lyapunov inequalities and equations for which the infinitesimal generator is not necessarily stable, but it satisfies the spectrum decomposition assumption and it has at most finitely many unstable eigenvalues. Moreover, the input or output operators are not necessarily bounded, but are admissible. We prove an inertia result: under mild conditions, we show that the number of unstable eigenvalues of the generator is less than or equal to the number of negative eigenvalues of the self-adjoint solution of the operator Lyapunov inequality. (C) 2001 Elsevier Science B.V. All rights reserved
Balanced model reduction is a technique for producing a low dimensional approximation to a linear ti...
ABSTRACT. The apunov mapping on n x n matrices over C is defined by ZA(X AX + XA* " a matrix is...
We provide Lyapunov-like characterizations of boundedness and convergence of non-trivial solutions f...
We study operator Lyapunov inequalities and equations for which the infinitesimal generator is not n...
The matrix equation SA+A*S=S*B*BS is studied, under the assumption that (A, B*) is controllable, but...
Introduction The eigenvalue problems for quasilinear and nonlinear operators present many differenc...
We present a general counting result for the unstable eigenvalues of linear operators of the form JL...
AbstractWe extend to operator polynomials some inertia theorems obtained recently for linear bounded...
AbstractWe study generalized Lyapunov equations and present generalizations of Lyapunov stability th...
AbstractLet L be a square matrix. A well-known theorem due to Lyapunov states that L is positive sta...
AbstractIn this paper, we will establish several Lyapunov inequalities for linear Hamiltonian system...
International audienceWe present a general counting result for the unstable eigenvalues of linear op...
We provide several characterizations of convergence to unstable equilibria in nonlinear systems. Our...
AbstractWe present a new proof of the inertia result associated with Lyapunov equations. Furthermore...
Abstract—We provide several characterizations of conver-gence to unstable equilibria in nonlinear sy...
Balanced model reduction is a technique for producing a low dimensional approximation to a linear ti...
ABSTRACT. The apunov mapping on n x n matrices over C is defined by ZA(X AX + XA* " a matrix is...
We provide Lyapunov-like characterizations of boundedness and convergence of non-trivial solutions f...
We study operator Lyapunov inequalities and equations for which the infinitesimal generator is not n...
The matrix equation SA+A*S=S*B*BS is studied, under the assumption that (A, B*) is controllable, but...
Introduction The eigenvalue problems for quasilinear and nonlinear operators present many differenc...
We present a general counting result for the unstable eigenvalues of linear operators of the form JL...
AbstractWe extend to operator polynomials some inertia theorems obtained recently for linear bounded...
AbstractWe study generalized Lyapunov equations and present generalizations of Lyapunov stability th...
AbstractLet L be a square matrix. A well-known theorem due to Lyapunov states that L is positive sta...
AbstractIn this paper, we will establish several Lyapunov inequalities for linear Hamiltonian system...
International audienceWe present a general counting result for the unstable eigenvalues of linear op...
We provide several characterizations of convergence to unstable equilibria in nonlinear systems. Our...
AbstractWe present a new proof of the inertia result associated with Lyapunov equations. Furthermore...
Abstract—We provide several characterizations of conver-gence to unstable equilibria in nonlinear sy...
Balanced model reduction is a technique for producing a low dimensional approximation to a linear ti...
ABSTRACT. The apunov mapping on n x n matrices over C is defined by ZA(X AX + XA* " a matrix is...
We provide Lyapunov-like characterizations of boundedness and convergence of non-trivial solutions f...