
Journal of Convex Analysis 25 (2018), No. 3, [final page numbers not yet available] Copyright Heldermann Verlag 2018 Topological Derivative: a Semidifferential via the Minkowski Content Michel C. Delfour Centre de Recherches Mathématiques, Dép. de Mathématiques et de Statistique, Université de Montréal, Montréal H3C 3J7, Canada delfour@crm.umontreal.ca The generic notions of shape and topological derivative have proven to be both pertinent and useful from the theoretical and numerical points of view. The shape derivative is a differential while the topological derivative obtained by expansion methods is only a semidifferential. This arises from the fact that the tangent space to the underlying metric spaces of "geometries" is only a cone. We extend its definition to perturbations obtained by creating holes around curves, surfaces, and, potentially, microstructures. In that context, the Hadamard semidifferential that retains the advantages of the standard differential calculus including the chain rule and the fact that semiconvex functions are Hadamard semidifferentiable is a natural notion to study the semidifferentiability of objective functions with respect to the sets/geometries that belong to complete nonlinear nonconvex metric spaces. An important advantage for state constrained utility functions is that theorems on the onesided differentiation of minimax of Lagrangians can be used to get the semidifferential. The same adjoint system will occur for shape and topological derivatives. The paper is specialized to the topological derivative on the metric space of characteristic functions. Keywords: Topological derivative, semidifferential, Minkowski content, Lagrangian, minimax. MSC: 65K10 [ Fulltextpdf (405 KB)] for subscribers only. 