Asymptotic bounds on renewal process stopping times

preprint2016arXivOpen access

Abstract

Suppose that i.i.d. random variables X1,X2,…X_{1}, X_{2}, \ldots are chosen uniformly from [0,1][0,1], and let f:[0,1]→[0,1]f: [0,1] \rightarrow [0,1] be an increasing bijection. Define μfμ_{f} to be the expected value of f(Xi)f(X_{i}) for each ii. Define the random variable KfK_{f} be to be minimal so that ∑i=1Kff(Xi)>t\sum_{i = 1}^{K_{f}} f(X_{i}) > t and let Nf(t)N_{f}(t) be the expected value of KfK_{f}. We prove that if cf=∫01∫f−1(u)1(f(x)−u)dxduμfc_{f} = \frac{\int_{0}^{1} \int_{f^{-1}(u)}^{1} (f(x)-u) dx du}{μ_{f}}, then Nf(t)=t+cfμf+o(1)N_{f}(t) = \frac{t+c_{f}}{μ_{f}}+o(1). This generalizes a result of Ćurgus and Jewett (2007) on the case f(x)=xf(x) = x.

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