10 research outputs found
Directional metric regularity of multifunctions
In this paper, we study relative metric regularity of set-valued mappings with emphasis on directional metric regularity. We establish characterizations of relative metric regularity without assuming the completeness of the image spaces, by using the relative lower semicontinuous envelopes of the distance functions to set-valued mappings. We then apply these characterizations to establish a coderivative type criterion for directional metric regularity as well as for the robustness of metric regularity
Directional metric pseudo subregularity of set-valued mappings: a general model
This paper investigates a new general pseudo subregularity model which unifies some important nonlinear (sub)regularity models studied recently in the literature. Some slope and abstract coderivative characterizations are established. © 2019, Springer Nature B.V
Error bounds and metric subregularity
Necessary and sufficient criteria for metric subregularity (or calmness) of set-valued mappings between general metric or Banach spaces are treated in the framework of the theory of error bounds for a special family of extended real-valued functions of two variables. A classification scheme for the general error bound and metric subregularity criteria is presented. The criteria are formulated in terms of several kinds of primal and subdifferential slopes
Relative Well-Posedness of Constrained Systems with Applications to Variational Inequalities
The paper concerns foundations of sensitivity and stability analysis, being
primarily addressed constrained systems. We consider general models, which are
described by multifunctions between Banach spaces and concentrate on
characterizing their well-posedness properties that revolve around Lipschitz
stability and metric regularity relative to sets. The enhanced relative
well-posedness concepts allow us, in contrast to their standard counterparts,
encompassing various classes of constrained systems. Invoking tools of
variational analysis and generalized differentiation, we introduce new robust
notions of relative coderivatives. The novel machinery of variational analysis
leads us to establishing complete characterizations of the relative
well-posedness properties with further applications to stability of affine
variational inequalities. Most of the obtained results valid in general
infinite-dimensional settings are also new in finite dimensions.Comment: 25 page
Directional metric regularity of multifunctions
International audienceIn this paper, we study relative metric regularity of set-valued mappings with emphasis on directional metric regularity.We establish characterizations of relative metric regularity without assuming the completeness of the image spaces, byusing the relative lower semicontinuous envelopes of the distance functions to set-valued mappings. We then apply these characterizations to establish a coderivative type criterion for directional metric regularity as well as for the robustness of metric regularity
Directional metric regularity of multifunctions
In this paper, we study relative metric regularity of set-valued mappings
with emphasis on directional metric regularity. We establish characterizations
of relative metric regularity without assuming the completeness of the image
spaces, by using the relative lower semicontinuous envelopes of the distance
functions to set-valued mappings. We then apply these characterizations to
establish a coderivative type criterion for directional metric regularity as
well as for the robustness of metric regularity