English

Directional Differentiability of the Generalized Metric Projection in Banach Spaces

Functional Analysis 2023-11-06 v1

Abstract

Let X be a real uniformly convex and uniformly smooth Banach space and C a nonempty closed and convex subset of X. In this paper, we consider the generalized metric projection operator from X to C, which was introduced by Alber in 1996. We define the Gateaux directional differentiability and investigate some properties of the directional differentiability of the generalized metric projection. In particular, if C is a closed ball, or a closed and convex cone (including proper closed subspaces), or a closed and convex cylinder, then, we give the exact representations of the directional derivatives of the generalized metric projection. We also compare the differences of the directional differentiability between the generalized metric projection and the (standard) metric projection.

Keywords

Cite

@article{arxiv.2311.01561,
  title  = {Directional Differentiability of the Generalized Metric Projection in Banach Spaces},
  author = {Jinlu Li},
  journal= {arXiv preprint arXiv:2311.01561},
  year   = {2023}
}

Comments

The topic of directional differentiability of the generalized metric projection in Banach spaces will be useful in optimization theory, approximation theory, variational inequalities, and so forth. arXiv admin note: text overlap with arXiv:2311.00942