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Relationship between limiting K-spaces and J-spaces in the real interpolation

Bohumír Opic, Manvi Grover

TL;DR

The paper advances the theory of limiting real interpolation by linking the limiting $K$- and $J$-spaces through slowly varying weights, including cases where previous conditions fail. It demonstrates that $ (X_0,X_1)_{0,q,b;K} = (X_0,X_0+X_1)_{0,q,B;K} = (X_0,X_0+X_1)_{0,q,A;J}$ and $ (X_0,X_1)_{0,q,a;J} = (X_0,X_0\cap X_1)_{0,q,A;J} = X_0\cap (X_0,X_1)_{0,q,B;K}$ with appropriate slowly varying weights, establishing equivalent norms and density theorems. It also extends these identifications to endpoint cases ($q=\infty$ and $q=1$) and provides complementary representations when the OG conditions are not satisfied. The results enhance the understanding of the relationship between limiting K- and J-spaces and supply practical density conclusions for the associated interpolation spaces. Overall, the work clarifies how to translate limiting K-spaces into limiting J-spaces (and vice versa) via auxiliary weights, enriching the toolkit of real interpolation theory.

Abstract

In the paper Description of the $K$-spaces by means of $J$-spaces and the reverse problem, Math. Nachr. 296 (2023), no. 9, 4002--4031, we have establish conditions under which the limiting $K$-space $(X_0,X_1)_{0,q,b;K}$, involving a slowly varying function $b$, can be described by means of the $J$-space $(X_0,X_1)_{0,q,a;J}$, with a convenient slowly varying function $a$, and we have also solved the reverse problem. It has been shown that if these conditions are not satisfied that the given problem may not have a solution. In this paper we assume that these conditions are not satisfied. Nevertheless, our aim is to express the limiting $K$-space $(X_0,X_1)_{0,q,b;K}$ as some limiting $J$-space $(Y_0,Y_1)_{0,q,A;J}$, and, similarly, to express the limiting $J$-space $(X_0,X_1)_{0,q,a;J}$ as a convenient limiting $K$-space $(Z_0,Z_1)_{0,q,B;K}$. To be more precise, we show that $$(X_0,X_1)_{0,q,b;K}=(X_0,X_0+X_1)_{0,q,A;J}=X_0+(X_0,X_1)_{0,q,A;J}$$ and $$(X_0,X_1)_{0,q,a;J}=(X_0,X_0\cap X_1)_{0,q,B;K}=X_0\cap (X_0,X_1)_{0,q,B;K},$$ where $A$ and $B$ are convenient weights. Moreover, we establish equivalent norms in the above mentioned spaces. The obtained results are applied to get density theorems for spaces in question.

Relationship between limiting K-spaces and J-spaces in the real interpolation

TL;DR

The paper advances the theory of limiting real interpolation by linking the limiting - and -spaces through slowly varying weights, including cases where previous conditions fail. It demonstrates that and with appropriate slowly varying weights, establishing equivalent norms and density theorems. It also extends these identifications to endpoint cases ( and ) and provides complementary representations when the OG conditions are not satisfied. The results enhance the understanding of the relationship between limiting K- and J-spaces and supply practical density conclusions for the associated interpolation spaces. Overall, the work clarifies how to translate limiting K-spaces into limiting J-spaces (and vice versa) via auxiliary weights, enriching the toolkit of real interpolation theory.

Abstract

In the paper Description of the -spaces by means of -spaces and the reverse problem, Math. Nachr. 296 (2023), no. 9, 4002--4031, we have establish conditions under which the limiting -space , involving a slowly varying function , can be described by means of the -space , with a convenient slowly varying function , and we have also solved the reverse problem. It has been shown that if these conditions are not satisfied that the given problem may not have a solution. In this paper we assume that these conditions are not satisfied. Nevertheless, our aim is to express the limiting -space as some limiting -space , and, similarly, to express the limiting -space as a convenient limiting -space . To be more precise, we show that and where and are convenient weights. Moreover, we establish equivalent norms in the above mentioned spaces. The obtained results are applied to get density theorems for spaces in question.
Paper Structure (7 sections, 31 theorems, 241 equations)

This paper contains 7 sections, 31 theorems, 241 equations.

Key Result

Theorem 1.1

(cf. OG) Let $(X_0, X_1)$ be a compatible couple and $1\le q <\infty$. If $b \in SV(0,\infty)$ satisfies and $a \in SV(0,\infty)$ is such that then

Theorems & Definitions (44)

  • Theorem 1.1
  • Theorem 1.2: Density theorem
  • Theorem 1.3
  • Theorem 1.4: Density theorem
  • Remark 1.5
  • Theorem 1.6: OG
  • Remark 1.7
  • Theorem 1.8: OG
  • Remark 1.9
  • Theorem 1.10: Density theorem, OG
  • ...and 34 more