Sharp estimate on the supremum of a class of partial sums of small i.i.d. random variables

Abstract

We take an L1-dense class of functions F on a measurable space (X, X) together with a sequence of independent, identically distributed X-space valued random variables 1,…,n and give a good estimate on the tail distribution of f∈ FΣj=1n f(j) if the expected values E|f(1)| are very small for all f∈ F. In a subsequent paper~[2] we shall give a sharp bound for the supremum of normalized sums of i.i.d. random variables in a more general case. But that estimate is a consequence of the results in this work.

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