For , let , including . It is a nonnegative integer-valued random variable, possibly infinite before the following estimate. The tail-sum formula for expectation and part (i) give
Thus , and the supremum is finite almost surely. The sum identity follows by writing and applying monotone convergence theorem. If the printed supremum is read literally over , its positive part has exactly the same positive-level tails and its negative part is bounded by one. The same upper bound on its expected value remains valid.

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