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Abstract capacitary estimates and the completeness and separability of certain classes of non-locally convex topological vector spaces

机译:抽象容量估计以及某些类非局部凸拓扑向量空间的完备性和可分性

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We are concerned with establishing completeness and separability criteria for large classes of topological vector spaces which are typically non-locally convex, including Lebesgue-like spaces, Lorentz spaces, Orlicz spaces, mixed-normed spaces, tent spaces, and discrete Triebel-Lizorkin and Besov spaces. For vector spaces of measurable functions we also derive pointwise convergence results. Our approach relies on abstract capacitary estimates and works in certain cases of interest even in the absence of a background measure space and/or of a vector space structure.
机译:我们关注的是为通常不是局部凸的大类拓扑向量空间建立完整性和可分离性标准,包括类似Lebesgue的空间,Lorentz空间,Orlicz空间,混合范数空间,帐篷空间以及离散的Triebel-Lizorkin和Besov空间。对于可测量函数的向量空间,我们还导出了逐点收敛结果。我们的方法依赖于抽象的容量估计,即使在没有背景度量空间和/或向量空间结构的情况下,也可以在某些特定情况下工作。

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