广义光滑函数空间中的核嵌入与紧嵌入

IF 0.6 3区 数学 Q3 MATHEMATICS Analysis Mathematica Pub Date : 2023-10-09 DOI:10.1007/s10476-023-0238-y
D. D. Haroske, H.-G. Leopold, S. D. Moura, L. Skrzypczak
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引用次数: 0

摘要

我们研究广义光滑函数空间的核嵌入,该函数空间定义在有界Lipschitz域Ω∧∈d上。这特别涵盖了Besov空间和triiebel - lizorkin空间在有界域上定义的众所周知的情况,以及对数平滑函数空间的一些初步结果。此外,我们提供了一些新的,更一般的方法来压缩嵌入这些函数空间,它也统一了不同设置下的早期结果,包括它们的熵数的研究。我们再次依赖于合适的小波分解技术和著名的Tong结果(1969),该结果是关于作用于可见- r空间的核对角算子的,我们最近可以将其扩展到这里需要的矢量值设置。
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Nuclear and Compact Embeddings in Function Spaces of Generalised Smoothness

We study nuclear embeddings for function spaces of generalised smoothness defined on a bounded Lipschitz domain Ω ⊂ ℝd. This covers, in particular, the well-known situation for spaces of Besov and Triebel–Lizorkin spaces defined on bounded domains as well as some first results for function spaces of logarithmic smoothness. In addition, we provide some new, more general approach to compact embeddings for such function spaces, which also unifies earlier results in different settings, including also the study of their entropy numbers. Again we rely on suitable wavelet decomposition techniques and the famous Tong result (1969) about nuclear diagonal operators acting in r spaces, which we could recently extend to the vector-valued setting needed here.

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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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