Old and new Morrey spaces without heat kernel bounds on RD-spaces

IF 0.6 3区 数学 Q3 MATHEMATICS Analysis Mathematica Pub Date : 2024-06-18 DOI:10.1007/s10476-024-00026-9
Bo Li, Ba. Li, B. Ma, A. Wang, J. Li
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引用次数: 0

Abstract

An RD-space \(\mathcal{X}\) is a space of homogeneous type in the sense of Coifman and Weiss satisfying a certain reverse (volume) doubling condition. Let \(L\) be a non-negative self-adjoint operator acting on \(L^2(\mathcal{X})\). Assume that \(L\) generates an analytic semigroup \(\{\mathrm{e}^{-tL}\}_{t>0}\) whose kernels \(\{h_t(x,y)\}_{t>0}\) satisfy a generalized Gaussian heat kernel upper estimate. Roughly speaking, the heat kernel behavior is a mixture of locally Gaussian and sub-Gaussian at infinity. With the help of this Gaussian heat kernel, we first introduce a novel Morrey space and then prove that it coincides with the classical Morrey space. As applications, some new characterizations of square Morrey space are established via a Carleson measure condition.

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RD 空间上无热核边界的新旧莫雷空间
让 \(L\) 是一个作用在 \(L^2(\mathcal{X})\) 上的非负自相加算子。假设 \(L\) 产生一个解析半群 \(\{mathrm{e}^{-tL}\}_{t>0}\),其核 \(\{h_t(x,y)\}_{t>0}\)满足广义高斯热核上估计。借助这种高斯热核,我们首先引入了一种新的莫雷空间(Morrey space),然后证明它与经典的莫雷空间(Morrey space)重合。
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来源期刊
Analysis Mathematica
Analysis Mathematica MATHEMATICS-
CiteScore
1.00
自引率
14.30%
发文量
54
审稿时长
>12 weeks
期刊介绍: Traditionally the emphasis of Analysis Mathematica is classical analysis, including real functions (MSC 2010: 26xx), measure and integration (28xx), functions of a complex variable (30xx), special functions (33xx), sequences, series, summability (40xx), approximations and expansions (41xx). The scope also includes potential theory (31xx), several complex variables and analytic spaces (32xx), harmonic analysis on Euclidean spaces (42xx), abstract harmonic analysis (43xx). The journal willingly considers papers in difference and functional equations (39xx), functional analysis (46xx), operator theory (47xx), analysis on topological groups and metric spaces, matrix analysis, discrete versions of topics in analysis, convex and geometric analysis and the interplay between geometry and analysis.
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