Peetre conjecture on real interpolation spaces of Besov spaces and Grid K functional

TL;DR

This paper completely solves Peetre's conjecture on the real interpolation spaces of Besov spaces by leveraging wavelet coefficients, grid structures, and advanced topological methods, extending classical analysis tools.

Contribution

It introduces new techniques involving grid topology and wavelet properties to resolve a longstanding conjecture in interpolation theory.

Findings

Complete solution to Peetre's conjecture.

Development of new topological and wavelet-based methods.

Extension of classical interpolation theorems.

Abstract

In this paper, Peetre's conjecture about the real interpolation space of Besov space {\bf is solved completely } by using the classification of vertices of cuboids defined by {\bf wavelet coefficients and wavelet's grid structure}. Littlewood-Paley analysis provides only a decomposition of the function on the ring. We extend Lorentz's rearrangement function and Hunt's Marcinkiewicz interpolation theorem to more general cases. We use the method of calculating the topological quantity of the grid to replace the traditional methods of data classification such as gradient descent method and distributed algorithm. We developed a series of new techniques to solve this longstanding open problem. These skills make up for the deficiency of Lions-Peetre iterative theorem in dealing with strong nonlinearity. Using the properties of wavelet basis, a series of {\bf functional nonlinearities} are studied. Using the lattice property of wavelet, we study the lattice topology. By three kinds of {\bf topology nonlinearities}, we give the specific wavelet expression of K functional.