On generalized renewal measures and certain first passage times (Q1201171)

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scientific article; zbMATH DE number 97394
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On generalized renewal measures and certain first passage times
scientific article; zbMATH DE number 97394

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    On generalized renewal measures and certain first passage times (English)
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    17 January 1993
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    The author considers generalized renewal functions \(U_ \varphi(t)=\sum_{n\geq 0}\varphi(n)P(S_ n\leq t)\) for arbitrary random walks \(S_ n\) with positive drift \(\mu\) and functions \(\varphi\) for which \(t^{-\alpha}\varphi(t)\) is slowly varying. The main result states that for \(\alpha\geq 0\), \(E((X^ -_ 1)^ 2\varphi(X_ 1))<\infty\) is equivalent to the finiteness of \(U_ \varphi(t)\) (for all or for some \(t)\), and also to \((t\varphi(t))^{-1}U_ \varphi(t)\sim(\alpha+1)^{- 1}\mu^{-\alpha-1}\), as \(t\to\infty\); if \(\alpha=0\), it must be assumed additionally that \(\varphi\) is ultimately increasing. The above moment condition still implies the other statements if \(\alpha\in(-1,0]\) and \(\varphi\) is ultimately decreasing. Similar results are given for the increments \(U_ \varphi(t+h)-U_ \varphi(t)\) and the sequence of maxima \(M_ n=\max_{0\leq j\leq n}S_ j\) instead of \(S_ n\).
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    slowly varying function
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    first passage time
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    martingale inequality
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    generalized renewal functions
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    random walks
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