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arXiv 2501.12876math.FA
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向量值函数空间的单纯性

Simpliciality of vector-valued function spaces

Charles University(查理大学)

Ondřej F. K. Kalenda, Jiří Spurný

AI总结:

该研究针对向量值函数空间的积分表示问题,提出向量单纯性与弱单纯性两种推广概念,分析二者的性质差异与关联,并给出更精细的表示定理及唯一性刻画,丰富了向量值函数空间理论。

摘要:

我们研究向量值函数空间的积分表示,即子空间$H\boldsymbol{\subset}C(K,E)$的积分表示,其中$K$是紧空间,$E$是(实或复)Banach空间。我们指出,标量情形下已知的表示定理有两种可能的推广方式:一种是利用$K$上取值于$E^*$的向量测度来表示$H^*$中的(所有)泛函(正如现有文献中的做法);另一种是利用Bochner积分,通过$K$上的标量测度来表示$L(H,E)$中的(部分)算子。这两种方式引出了两种不同的单纯性概念,我们称之为“向量单纯性”和“弱单纯性”。研究发现,这两个概念通常是不可比较的。此外,弱单纯性不受目标空间$E$重赋范的影响,而向量单纯性可能会受其影响。进一步地,若$H$包含常值函数,则向量单纯性严格更强,且具备若干等价刻画(部分与标量情形下的已知刻画类似)。我们还研究了受C.J.K. Batty启发的测度序关系,在特殊情形下可用于刻画$H$-边界测度。最后,我们利用$K\times B_{E^*}$上的正测度给出了更精细的表示定理版本,并刻画了该情形下的唯一性。

英文摘要:

We investigate integral representation of vector-valued function spaces, i.e., of subspaces $H\subset C(K,E)$, where $K$ is a compact space and $E$ is a (real or complex) Banach space. We point out that there are two possible ways of generalizing representation theorems known from the scalar case -- either one may represent (all) functionals from $H^*$ using $E^*$-valued vector measures on $K$ (as it is done in the literature) or one may represent (some) operators from $L(H,E)$ by scalar measures on $K$ using the Bochner integral. These two ways lead to two different notions of simpliciality which we call `vector simpliciality' and `weak simpliciality'. It turns out that these two notions are in general incomparable. Moreover, the weak simpliciality is not affected by renorming the target space $E$, while vector simpliciality may be affected. Further, if $H$ contains constants, vector simpliciality is strictly stronger and admits several characterizations (partially analogous to the characterizations known in the scalar case). We also study orderings of measures inspired by C.J.K.~Batty which may be (in special cases) used to characterize $H$-boundary measures. Finally, we give a finer version of representation theorem using positive measures on $K\times B_{E^*}$ and characterize uniqueness in this case.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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