Let $F:\mathbb R \to [0,1]$ be a distribution function of a probability measure $P$ $(i.e.,F(x)=P((-\infty,x])) $. Then show that There is a random variable $X : ((0,1],\mathcal B,\lambda)\to \mathbb R$,(where $\mathcal B$ is the borel $\sigma $-algebra and $\lambda$ is Lebesgue measure) ,such that $P_{X}=P$
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This is a standard result that you should be able to find in any book on measure-theoretic probability. Look in chapter 1, section 2 here. It is Theorem 1.2.2.
Potato
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I can't find the result in your link. Can you be more explicit? – Stefan Hansen Nov 15 '13 at 09:01
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@StefanHansen I gave the wrong section. It is correct now. – Potato Nov 15 '13 at 09:03