If $F$ satisfies conditions for a c.d.f., then it is a c.d.f. for some random variable?

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Larry Wasserman , in his All of Statistics, states that for any cdf $F$ :

  • $F$ is non-decreasing

  • $\lim_{x\rightarrow -\infty} F = 0 \ \ \text{and} \ \ \lim_{x\rightarrow \infty} F = 1$

  • $F$ is right continuous

He then writes that proving that if $F$ satisfies these conditions, then it is a cdf for some random variable, requires "some deep tools in analysis."

Does anyone know where I can find a proof of this exact statement, and if not, how it would be proved?

Thanks.