We derive necessary optimality conditions for minimizers of regular functionals in the calculus of variations under smooth state constraints. In the literature, this classical problem is widely investigated. The novelty of our result lies in the fact that the presence of state constraints enters the Euler-Lagrange equations as a local feedback, which allows to derive the C1;1-smoothness of solutions. As an application, we discuss a constrained Mean Field Games problem, for which our optimality conditions allow to construct Lipschitz relaxed solutions, thus improving an existence result due to the first two authors
Mean Field Games (MFG) with state constraints are differential games with infinitely many agents, ea...
Variational inequalities and related problems may be solved via smooth bound constrained optimizatio...
International audienceWe analyze a system of partial differential equations that model a potential m...
We derive necessary optimality conditions for minimizers of regular functionals in the calculus of ...
We derive necessary optimality conditions for minimizers of regular functionals in the calculus of v...
We consider non-autonomous calculus of variations problems with a state constraint represented by a...
Mean Field Games with state constraints are differential games with infinitely many agents, each age...
We investigate mean field game systems under invariance conditions for the state space, otherwise ca...
We consider deterministic mean field games in which the agents control their acceleration and are co...
International audienceWe present a new notion of solution for mean field games master equations. Thi...
A framework for designing robust smoothing procedures for control- and state-constrained optimal con...
International audienceWe consider a local minimizer, in the sense of the W1,1 norm, of a classical p...
We derive a framework to compute optimal controls for problems with states in the space of probabili...
This paper establishes the existence of relaxed solutions to mean eld games (MFGs for short) with si...
This article studies calculus of variations problems under a convexity constraint. The main motivati...
Mean Field Games (MFG) with state constraints are differential games with infinitely many agents, ea...
Variational inequalities and related problems may be solved via smooth bound constrained optimizatio...
International audienceWe analyze a system of partial differential equations that model a potential m...
We derive necessary optimality conditions for minimizers of regular functionals in the calculus of ...
We derive necessary optimality conditions for minimizers of regular functionals in the calculus of v...
We consider non-autonomous calculus of variations problems with a state constraint represented by a...
Mean Field Games with state constraints are differential games with infinitely many agents, each age...
We investigate mean field game systems under invariance conditions for the state space, otherwise ca...
We consider deterministic mean field games in which the agents control their acceleration and are co...
International audienceWe present a new notion of solution for mean field games master equations. Thi...
A framework for designing robust smoothing procedures for control- and state-constrained optimal con...
International audienceWe consider a local minimizer, in the sense of the W1,1 norm, of a classical p...
We derive a framework to compute optimal controls for problems with states in the space of probabili...
This paper establishes the existence of relaxed solutions to mean eld games (MFGs for short) with si...
This article studies calculus of variations problems under a convexity constraint. The main motivati...
Mean Field Games (MFG) with state constraints are differential games with infinitely many agents, ea...
Variational inequalities and related problems may be solved via smooth bound constrained optimizatio...
International audienceWe analyze a system of partial differential equations that model a potential m...