We present a new duality theory for non-convex variational problems, under possibly mixed Dirichlet and Neumann boundary conditions. The dual problem reads nicely as a linear programming problem, and our main result states that there is no duality gap. Further, we provide necessary and sufficient optimality conditions, and we show that our duality principle can be reformulated as a min-max result which is quite useful for numerical implementations. As an example, we illustrate the application of our method to a celebrated free boundary problem. The research that led to the present paper was partially supported by a grant of the group GNAMPA of INdAM

A Duality Theory for Non-convex Problems in the Calculus of Variations

BOUCHITTE, GUY LOUIS;Fragala Ilaria
2018

Abstract

We present a new duality theory for non-convex variational problems, under possibly mixed Dirichlet and Neumann boundary conditions. The dual problem reads nicely as a linear programming problem, and our main result states that there is no duality gap. Further, we provide necessary and sufficient optimality conditions, and we show that our duality principle can be reformulated as a min-max result which is quite useful for numerical implementations. As an example, we illustrate the application of our method to a celebrated free boundary problem. The research that led to the present paper was partially supported by a grant of the group GNAMPA of INdAM
variational problems, duality, optimality conditions
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1045983
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