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2004 | Buch

Stochastic Processes

Lectures given at Aarhus University

verfasst von: Kiyosi Itô

herausgegeben von: Ole E. Barndorff-Nielsen, Ken-iti Sato

Verlag: Springer Berlin Heidelberg

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Über dieses Buch

The volume Stochastic Processes by K. Itö was published as No. 16 of Lecture Notes Series from Mathematics Institute, Aarhus University in August, 1969, based on Lectures given at that Institute during the academie year 1968­ 1969. The volume was as thick as 3.5 cm., mimeographed from typewritten manuscript and has been out of print for many years. Since its appearance, it has served, for those abIe to obtain one of the relatively few copies available, as a highly readable introduetion to basic parts of the theories of additive processes (processes with independent increments) and of Markov processes. It contains, in particular, a clear and detailed exposition of the Lévy-It ö decomposition of additive processes. Encouraged by Professor It ó we have edited the volume in the present book form, amending the text in a number of places and attaching many footnotes. We have also prepared an index. Chapter 0 is for preliminaries. Here centralized sums of independent ran­ dom variables are treated using the dispersion as a main tooI. Lévy's form of characteristic functions of infinitely divisible distributions and basic proper­ ties of martingales are given. Chapter 1 is analysis of additive processes. A fundamental structure the­ orem describes the decomposition of sample functions of additive processes, known today as the Lévy-Itó decomposition. This is thoroughly treated, as­ suming no continuity property in time, in a form close to the original 1942 paper of Itó, which gave rigorous expression to Lévy's intuitive understanding of path behavior.

Inhaltsverzeichnis

Frontmatter
0. Preliminaries
Abstract
Let (Ω,B,P) be the basic probability space. The family B of all sub-σ-algebras of ß is a complete lattice with respect to the usual set-theoretic inclusion relation.1 For {Bλ : λ ∈ Λ} ⊂ B the least upper bound is denoted by ⋁λ B λ and the greatest lower bound by Λλ B λ. The latter, Λλ B λ, is the same as the set-theoretic intersection ∩λ B λ but the former, ⋁λ B λ, is not the set-theoretic union ∪λ B λ but the σ-algebra generated by the union.
Kiyosi Itô
1. Additive Processes (Processes with Independent Increments)
Abstract
Let (Ω,B,P) stand for the basic probability space as before. We assume that B is complete with respect to P, namely every subset of NB with P(N) = 0 belongs to B and so automatically has P-measure (= probability) 0. Let ω stand for a generic element of Ω.
Kiyosi Itô
2. Markov Processes
Abstract
Let us consider a particle moving in a space 5, called the state space. We assume the Markovian character of the motion that the particle that starts at x at present will move into BS with probability p t (x,B) after time t irrespectively of its past motion; {p t (x,B)} t,x,B are called the transition probabilities of the motion. The time parameter moves in T = [0, ∞).
Kiyosi Itô
Backmatter
Metadaten
Titel
Stochastic Processes
verfasst von
Kiyosi Itô
herausgegeben von
Ole E. Barndorff-Nielsen
Ken-iti Sato
Copyright-Jahr
2004
Verlag
Springer Berlin Heidelberg
Electronic ISBN
978-3-662-10065-3
Print ISBN
978-3-642-05805-9
DOI
https://doi.org/10.1007/978-3-662-10065-3