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Titlebook: Potential Functions of Random Walks in ? with Infinite Variance; Estimates and Applic K?hei Uchiyama Book 2023 The Editor(s) (if applicable

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書目名稱Potential Functions of Random Walks in ? with Infinite Variance
副標(biāo)題Estimates and Applic
編輯K?hei Uchiyama
視頻videohttp://file.papertrans.cn/753/752378/752378.mp4
概述Emphasises the significance of the potential function.Gives classical proofs of new and established results.Generalises old results to new settings
叢書名稱Lecture Notes in Mathematics
圖書封面Titlebook: Potential Functions of Random Walks in ? with Infinite Variance; Estimates and Applic K?hei Uchiyama Book 2023 The Editor(s) (if applicable
描述.This book studies the potential functions of one-dimensional recurrent random walks on the lattice of integers with step distribution of infinite variance. The central focus is on obtaining reasonably nice estimates of the potential function. These estimates are then applied to various situations, yielding precise asymptotic results on, among other things, hitting probabilities of finite sets, overshoot distributions, Green functions on long finite intervals and the half-line, and absorption probabilities of two-sided exit problems..The potential function of a random walk is a central object in fluctuation theory. ?If the variance of the step distribution is finite, the potential function has a simple asymptotic form, which enables the theory of recurrent random walks to be described in a unified way with rather explicit formulae. On the other hand, if the variance is infinite, the potential function behaves in a wide range of ways depending on the step distribution, which the asymptotic behaviour of many functionals of the random walk closely reflects..In the case when the step distribution is attracted to a strictly stable law, aspects of the random walk have been intensively st
出版日期Book 2023
關(guān)鍵詞Sums of independent & identically distributed random variables; Potential theory of random walk; Rando
版次1
doihttps://doi.org/10.1007/978-3-031-41020-8
isbn_softcover978-3-031-41019-2
isbn_ebook978-3-031-41020-8Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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