Weak Law Of Large Numbers without assumption of having finite variance

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In the first volume of Feller's book (see at Archive), chapter 10 section 2, there is a proof of the weak law of large numbers for the case the second moment does not exist.

I am reading about 7 books in English and Russian and none goes further than using Chebyshev's Inequality and assuming existence of the first two moments. Wikipedia and just googling for a proof without variance do not help to find it either.

Does anyone know why such a beautiful and, moreover, much general proof is so unpopular? Or, maybe there is some imperfection I do not notice, could you point it out? Thank you!