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Radon random variable : ウィキペディア英語版
Tightness of measures
In mathematics, tightness is a concept in measure theory. The intuitive idea is that a given collection of measures does not "escape to infinity."
==Definitions==

Let (X, T) be a topological space, and let \Sigma be a σ-algebra on X that contains the topology T. (Thus, every open subset of X is a measurable set and \Sigma is at least as fine as the Borel σ-algebra on X.) Let M be a collection of (possibly signed or complex) measures defined on \Sigma. The collection M is called tight (or sometimes uniformly tight) if, for any \varepsilon > 0, there is a compact subset K_ of X such that, for all measures \mu \in M,
:|\mu| (X \setminus K_) < \varepsilon.
where |\mu| is the total variation measure of \mu. Very often, the measures in question are probability measures, so the last part can be written as
:\mu (K_) > 1 - \varepsilon. \,
If a tight collection M consists of a single measure \mu, then (depending upon the author) \mu may either be said to be a tight measure or to be an inner regular measure.
If Y is an X-valued random variable whose probability distribution on X is a tight measure then Y is said to be a separable random variable or a Radon random variable.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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