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Embeddability of $\ell_p$-spaces into mixed-norm Lebesgue spaces in connection with the validity of vector-valued extensions of the Riesz--Fischer Theorem

José L. Ansorena, Glenier Bello

TL;DR

This work addresses when ell_p embeds into mixed-norm Lebesgue spaces to understand vector-valued extensions of classical theorems. It introduces and analyzes the index set $\bm{\Lambda}(\mathbb{X})$ of embeddings, develops embedding techniques using disjointly supported sequences, the gliding-hump method, and small perturbations, and derives detailed, case-by-case characterizations for mixed-norm spaces such as $L_s(L_r)$, $\ell_s(L_r)$, $L_s(\ell_r)$, $\ell_s(\ell_r)$, and related spaces. A central result is a criterion showing $L_2(\mathbb{X})$ and $\ell_2(\mathbb{X})$ are not isomorphic under broad conditions, contributing to the understanding of when vector-valued Riesz–Fischer-type theorems fail. The paper then uses these $\bm{\Lambda}$-descriptions to advance the isomorphic classification of mixed-norm Lebesgue spaces, producing nearly complete dichotomies for many families and outlining open problems for remaining cases. Overall, the results illuminate the geometry of mixed-norm spaces and provide a framework to distinguish isomorphism classes via $\ell_p$-embeddability.

Abstract

The aim of this paper is twofold. On the one hand, we compute, in terms of $r$ and $s$, the indices $p$ for which $\ell_p$ isomorphically embeds into the mixed-norm separable spaces $L_s(L_r)$, $\ell_s(L_r)$, $L_s(\ell_r)$ and $\ell_s(\ell_r)$. On the other hand, we use this information to move forward in the isomorphic classification of mixed-norm spaces. In particular, we tell apart the spaces $L_2(L_r)$ and $\ell_2(L_r)$, $r\not=2$.

Embeddability of $\ell_p$-spaces into mixed-norm Lebesgue spaces in connection with the validity of vector-valued extensions of the Riesz--Fischer Theorem

TL;DR

This work addresses when ell_p embeds into mixed-norm Lebesgue spaces to understand vector-valued extensions of classical theorems. It introduces and analyzes the index set of embeddings, develops embedding techniques using disjointly supported sequences, the gliding-hump method, and small perturbations, and derives detailed, case-by-case characterizations for mixed-norm spaces such as , , , , and related spaces. A central result is a criterion showing and are not isomorphic under broad conditions, contributing to the understanding of when vector-valued Riesz–Fischer-type theorems fail. The paper then uses these -descriptions to advance the isomorphic classification of mixed-norm Lebesgue spaces, producing nearly complete dichotomies for many families and outlining open problems for remaining cases. Overall, the results illuminate the geometry of mixed-norm spaces and provide a framework to distinguish isomorphism classes via -embeddability.

Abstract

The aim of this paper is twofold. On the one hand, we compute, in terms of and , the indices for which isomorphically embeds into the mixed-norm separable spaces , , and . On the other hand, we use this information to move forward in the isomorphic classification of mixed-norm spaces. In particular, we tell apart the spaces and , .

Paper Structure

This paper contains 4 sections, 23 theorems, 44 equations, 5 tables.

Key Result

Theorem 1.7

Let $\mathbb{X}$ be a Banach space. Suppose that there are $2<p<r<\infty$ such that either $\mathbb{Y}=\mathbb{X}$ or $\mathbb{Y}=\mathbb{X}^*$ satisfies $r\in\bm{\Lambda}(\mathbb{Y})$ and $p\notin\bm{\Lambda}(\mathbb{Y})$. Then $L_2(\mathbb{X})$ and $\ell_2(\mathbb{X})$ are not isomorphic.

Theorems & Definitions (43)

  • Example 1.2: J. Diestel in Diestel1977
  • Example 1.3: P. Brooker in Gonzalez2015
  • Example 1.4: M. Ostrovskii in Gonzalez2015
  • Example 1.5: T. Kania in Gonzalez2015
  • Example 1.6: S. Dilworth in Dilworth1990
  • Theorem 1.7
  • Theorem 2.1: see AlbiacAnsorena2025*Lemma 2.5
  • Theorem 2.2
  • proof
  • Lemma 2.3
  • ...and 33 more