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引用次数: 0
摘要
给定一个测度空间(Ω,∑,μ),分布函数μf(Γ)=μ({t∈Ω:|f(t)|>Γ}),其中,Γ⩾0和递减重排f*(z)=inf已知可测函数f的{Γ0:μf(Γ)⩽z},其中z⩾0和惯例i n f{∅}=∞是右连续函数。然而,这些功能不必保持连续。本文的目的是研究这些函数连续的条件。在μ({t∈Ω:|f(t)|>0})为0的假设下。使用相同的结果,我们为函数f的递减重排f*的连续性提供了类似的结果。
On continuity of distribution function and decreasing rearrangement
Given a measure space (Ω,Σ,μ), the distribution function μf(ν)=μ({t∈Ω:|f(t)|>ν}) where ν⩾0 and the decreasing rearrangement f*(z)=inf{ν⩾0:μf(ν)⩽z}, where z⩾0 and by convention inf{∅}=∞, of a measurable function f are known to be right continuous functions. However, these functions need not be left continuous. The purpose of this paper is to investigate the conditions under which these functions are continuous. Under the assumption that μ({t∈Ω:|f(t)|>0})<∞, we provide a necessary and sufficient condition for the function μf to be continuous at ν>0. Using the same we provide a similar result for the continuity of decreasing rearrangement f* of the function f.
期刊介绍:
Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation, or analytical phase of statistical project. This information may be survey generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred. Papers of both applied and theoretical topics are acceptable.