On the strong subdifferentiability of the homogeneous polynomials and (symmetric) tensor products
Sheldon Dantas, Mingu Jung, Martin Mazzitelli, Jorge Tom\'as, Rodr\'iguez

TL;DR
This paper investigates the strong subdifferentiability of norms in spaces of homogeneous polynomials and tensor products, providing characterizations, reflexivity implications, and positive results for specific tensor norms on classical sequence spaces.
Contribution
It characterizes strong subdifferentiability in polynomial and tensor product spaces, linking it to reflexivity and providing new positive results for specific tensor norms.
Findings
Characterization of strong subdifferentiability for polynomial and tensor spaces.
Improved reflexivity results for spaces of polynomials and multilinear mappings.
Positive results on strong subdifferentiability of tensor norms on classical sequence spaces.
Abstract
In this paper, we study the (uniform) strong subdifferentiability of the norms of the Banach spaces , and . Among other results, we characterize when the norms of the spaces , and are strongly subdifferentiable. Analogous results for multilinear mappings are also obtained. Since strong subdifferentiability of a dual space implies reflexivity, we improve some known results on the reflexivity of spaces of -homogeneous polynomials and -linear mappings. Concerning the projective (symmetric) tensor norms, we provide positive results on the subsets and of elementary tensors on the unit spheres of and ,…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Fixed Point Theorems Analysis · Numerical methods for differential equations
