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Paratingent derivative applied to the measure of the sensitivity in multiobjective differential programming. (English) Zbl 1470.90116

Summary: We analyse the sensitivity of differential programs of the form \(\operatorname{Min} f(x)\) subject to \(g(x) = b, x \in D\) where \(f\) and \(g\) are \(\mathcal{C}^1\) maps whose respective images lie in ordered Banach spaces. Following previous works on multiobjective programming, the notion of \(T\)-optimal solution is used. The behaviour of some nonsingleton sets of \(T\)-optimal solutions according to changes of the parameter \(b\) in the problem is analysed. The main result of the work states that the sensitivity of the program is measured by a Lagrange multiplier plus a projection of its derivative. This sensitivity is measured by means of the paratingent derivative.

MSC:

90C29 Multi-objective and goal programming
49J52 Nonsmooth analysis
90C48 Programming in abstract spaces
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