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Lévy Matters III : Lévy-Type Processes: Construction, Approximation and Sample Path Properties / by Björn Böttcher, René Schilling, Jian Wang
(Lévy Matters, A Subseries on Lévy Processes ; 2099)

1st ed. 2013.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2013
大きさ XVIII, 199 p. 1 illus : online resource
著者標目 *Böttcher, Björn author
Schilling, René author
Wang, Jian author
SpringerLink (Online service)
件 名 LCSH:Probabilities
LCSH:Mathematics
LCSH:Functional analysis
LCSH:Operator theory
FREE:Probability Theory
FREE:Mathematics
FREE:Functional Analysis
FREE:Operator Theory
一般注記 A Primer on Feller Semigroups and Feller Processes -- Feller Generators and Symbols -- Construction of Feller Processes -- Transformations of Feller Processes -- Sample Path Properties -- Global Properties -- Approximation -- Open Problems -- References -- Index
This volume presents recent developments in the area of Lévy-type processes and more general stochastic processes that behave locally like a Lévy process. Although written in a survey style, quite a few results are extensions of known theorems, and others are completely new. The focus is on the symbol of a Lévy-type process: a non-random function which is the counterpart of the characteristic exponent of a Lévy process. The class of stochastic processes which can be associated with a symbol is characterized, various schemes constructing a stochastic process from a given symbol are discussed, and it is shown how one can use the symbol in order to describe the sample path properties of the underlying process. Lastly, the symbol is used to approximate and simulate Levy-type processes. This is the third volume in a subseries of the Lecture Notes in Mathematics called Lévy Matters. Each volume describes a number of important topics in the theory or applications of Lévy processes and pays tribute to the state of the art of this rapidly evolving subject with special emphasis on the non-Brownian world
HTTP:URL=https://doi.org/10.1007/978-3-319-02684-8
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Springer eBooks 9783319026848
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EB00210701

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データ種別 電子ブック
分 類 LCC:QA273.A1-274.9
DC23:519.2
書誌ID 4000117752
ISBN 9783319026848

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