Euler-Lagrange equations for multiobjective calculus of variations problems via set optimization
The problem of minimizing an integral functional of a vector-valued Lagrangian on a set of admissible arcs with given endpoints is considered. The problem is tackled by embedding it into a set-optimization problem such that the image space becomes a complete lattice. This procedure allows to define the concepts of minimizer and of infimizer, as two completely different notions. An infimizer is proved to contain minimizers or at least minimizing sequences for the linearly scalarized problems, with the scalarizing parameters being elements in the dual of the ordering cone. In this way set-valued Euler-Lagrange equations are obtained and weak solutions are defined for these equations. Following the guidelines of the classical results, under suitable convexity and coercivity hypotheses an existence result for an infimizer is proved. In addition to the unconstrained problem, Euler-Lagrange equations are provided for the case with isoperimetric constraints. Finally, the results are applied to the optimization of the shape of energy-saving buildings.