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arXiv 2407.09406math.DSmath.CAmath.PR
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奇异测度序列的逐点收敛性

Pointwise Convergence of Sequences of Singular Measures

Andrew Parrish, Joseph Rosenblatt

AI总结:

本研究探讨实数域上概率测度对应的卷积算子序列的几乎处处收敛性,分析近似恒等元条件下实现逐点收敛的额外要求,重点研究单测度压缩序列的相关情形。

摘要:

我们研究了由实数集$\u211d$上的概率测度$μ_n$给出的卷积算子序列的几乎处处收敛性。若该算子序列在某一特定函数类$\u2131$上构成近似恒等元,还需满足哪些额外条件才能使得对所有$f \u2208 \u2131$,都有$μ_n \u2217 f \to f$几乎处处成立?我们聚焦于单个概率测度$μ$的压缩序列$C_{t_n}μ$这一特殊情形,其中$t_n \to 0$,从而该算子序列是一个近似恒等元。

英文摘要:

We investigate the almost everywhere convergence of sequences of convolution operators given by probability measures $μ_n$ on $\mathbb R$. If this sequence of operators constitutes an approximate identity on a particular class of functions $\mathcal F$, under what additional conditions do we have $μ_n \ast f \to f$ a.e. for all $f \in \mathcal F$? We focus on the particular case of a sequence of contractions $C_{t_n}μ$ of a single probability measure $μ$, with $t_n \to 0$, so that that the sequence of operators is an approximate identity.

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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