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Stability of a convex feasibility problem

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Abstract

The 2-sets convex feasibility problem aims at finding a point in the intersection of two closed convex sets A and B in a normed space X. More generally, we can consider the problem of finding (if possible) two points in A and B, respectively, which minimize the distance between the sets. In the present paper, we study some stability properties for the convex feasibility problem: we consider two sequences of sets, each of them converging, with respect to a suitable notion of set convergence, respectively, to A and B. Under appropriate assumptions on the original problem, we ensure that the solutions of the perturbed problems converge to a solution of the original problem. We consider both the finite-dimensional and the infinite-dimensional case. Moreover, we provide several examples that point out the role of our assumptions in the obtained results.

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Acknowledgements

The research of the first and second authors is partially supported by GNAMPA-INdAM. The research of the second and third authors is partially supported by Ministerio de Economía y Competitividad (Spain), MTM2015-68103-P, Plan Nacional de Matemáticas, (2016–2018). The authors thank the referees for useful remarks that helped them in preparing the final version of this paper.

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Correspondence to Carlo Alberto De Bernardi.

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De Bernardi, C.A., Miglierina, E. & Molho, E. Stability of a convex feasibility problem. J Glob Optim 75, 1061–1077 (2019). https://doi.org/10.1007/s10898-019-00806-w

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