On a Class of Second-Order PDE&PDI Constrained Robust Modified Optimization Problems

Abstract

In this paper, by using scalar multiple integral cost functionals and the notion of convexity associated with a multiple integral functional driven by an uncertain multi-time controlled second-order Lagrangian, we develop a new mathematical framework on multi-dimensional scalar variational control problems with mixed constraints implying second-order partial differential equations (PDEs) and inequations (PDIs). Concretely, we introduce and investigate an auxiliary (modified) variational control problem, which is much easier to study, and provide some equivalence results by using the notion of a normal weak robust optimal solution.

Keywords

• uncertain data
• controlled second-order Lagrangian
• weak robust optimal solution
• robust optimality conditions
• modified objective function method