On functions of bounded $\beta$-dimensional mean oscillation
You-Wei Benson Chen, Daniel Spector

TL;DR
This paper introduces a new concept of $eta$-dimensional mean oscillation for functions, extending classical BMO to fractional dimensions, and proves a dimensionally appropriate John-Nirenberg inequality for these functions.
Contribution
It defines $eta$-dimensional mean oscillation, proves its equivalence to classical BMO when $eta=d$, and establishes a John-Nirenberg inequality for all $eta o d$.
Findings
Defined $eta$-dimensional mean oscillation for functions on subsets of $ ^d$
Proved equivalence to classical BMO when $eta=d$
Established a John-Nirenberg inequality for $eta$-dimensional BMO
Abstract
In this paper, we define a notion of -dimensional mean oscillation of functions which are integrable on -dimensional subsets of the cube : \begin{align*} \|u\|_{BMO^{\beta}(Q_0)}:= \sup_{Q \subset Q_0} \inf_{c \in \mathbb{R}} \frac{1}{l(Q)^\beta} \int_{Q} |u-c| \;d\mathcal{H}^{\beta}_\infty, \end{align*} where the supremum is taken over all finite subcubes parallel to , is the length of the side of the cube , and is the Hausdorff content. In the case we show this definition is equivalent to the classical notion of John and Nirenberg, while our main result is that for every one has a dimensionally appropriate analogue of the John-Nirenberg inequality for functions with bounded -dimensional mean oscillation: There exist constants such…
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Taxonomy
TopicsNonlinear Partial Differential Equations · Nonlinear Differential Equations Analysis · Advanced Mathematical Modeling in Engineering
