For a Riemannian structure on a semidirect product of Lie groups, the variational problems can be reduced using the group symmetry. Choosing the Levi-Civita connection of a positive definite metric tensor, instead of any of the canonical connections for the Lie group, simplifies the reduction of the variations but complicates the expression for the Lie algebra valued covariant derivatives. The origin of the discrepancy is in the semidirect product structure, which implies that the Riemannian exponential map and the Lie group exponential map do not coincide. The consequence is that the reduced equations look more complicated than the original ones. The main scope of this paper is to treat the reduction of second order variational problems (c...
We present a generalization of Lie\u27s method for finding the group invariant solutions to a system...
This paper proves a symplectic reduction by stages theorem in the context of geometric mechanics on...
Fondly remembering our late friend Jerry Marsden Motivated by applications in computational anatomy,...
For a Riemannian structure on a semidirect product of Lie groups, the variational problems can be re...
Abstract. For an invariant Lagrangian equal to kinetic energy and defined on a semidirect product of...
summary:The Routh reduction of cyclic variables in the Lagrange function and the Jacobi-Maupertuis p...
Abstract. We discuss the use of Dirac structures to obtain a better under-standing of the geometry o...
This thesis is centred around higher-order invariant variational problems defined on Lie groups. We ...
International audienceMotivated by applications in computational anatomy, we consider a second-order...
This paper deals with the reduction of ordinary variational problems with Abelian and non Abelian sy...
AbstractThe inverse problem of Lagrangian dynamics is solved for the geodesic spray associated to th...
Motivated by applications in computational anatomy, we consider a second-order problem in the calcul...
In this paper Lie group theory is used to reduce the order of ordinary differential equations. For a...
The purpose of this paper is to extend the symmetric representation of the rigid body equations from...
This thesis studies variational problems invariant under a Lie group transformation, and invariant d...
We present a generalization of Lie\u27s method for finding the group invariant solutions to a system...
This paper proves a symplectic reduction by stages theorem in the context of geometric mechanics on...
Fondly remembering our late friend Jerry Marsden Motivated by applications in computational anatomy,...
For a Riemannian structure on a semidirect product of Lie groups, the variational problems can be re...
Abstract. For an invariant Lagrangian equal to kinetic energy and defined on a semidirect product of...
summary:The Routh reduction of cyclic variables in the Lagrange function and the Jacobi-Maupertuis p...
Abstract. We discuss the use of Dirac structures to obtain a better under-standing of the geometry o...
This thesis is centred around higher-order invariant variational problems defined on Lie groups. We ...
International audienceMotivated by applications in computational anatomy, we consider a second-order...
This paper deals with the reduction of ordinary variational problems with Abelian and non Abelian sy...
AbstractThe inverse problem of Lagrangian dynamics is solved for the geodesic spray associated to th...
Motivated by applications in computational anatomy, we consider a second-order problem in the calcul...
In this paper Lie group theory is used to reduce the order of ordinary differential equations. For a...
The purpose of this paper is to extend the symmetric representation of the rigid body equations from...
This thesis studies variational problems invariant under a Lie group transformation, and invariant d...
We present a generalization of Lie\u27s method for finding the group invariant solutions to a system...
This paper proves a symplectic reduction by stages theorem in the context of geometric mechanics on...
Fondly remembering our late friend Jerry Marsden Motivated by applications in computational anatomy,...