Stability Of Stochastic Differential Equations Driven By General Semimartingales

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Lévy Processes

Author : Ole E Barndorff-Nielsen,Thomas Mikosch,Sidney I. Resnick
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 50,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461201977

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Lévy Processes by Ole E Barndorff-Nielsen,Thomas Mikosch,Sidney I. Resnick Pdf

A Lévy process is a continuous-time analogue of a random walk, and as such, is at the cradle of modern theories of stochastic processes. Martingales, Markov processes, and diffusions are extensions and generalizations of these processes. In the past, representatives of the Lévy class were considered most useful for applications to either Brownian motion or the Poisson process. Nowadays the need for modeling jumps, bursts, extremes and other irregular behavior of phenomena in nature and society has led to a renaissance of the theory of general Lévy processes. Researchers and practitioners in fields as diverse as physics, meteorology, statistics, insurance, and finance have rediscovered the simplicity of Lévy processes and their enormous flexibility in modeling tails, dependence and path behavior. This volume, with an excellent introductory preface, describes the state-of-the-art of this rapidly evolving subject with special emphasis on the non-Brownian world. Leading experts present surveys of recent developments, or focus on some most promising applications. Despite its special character, every topic is aimed at the non- specialist, keen on learning about the new exciting face of a rather aged class of processes. An extensive bibliography at the end of each article makes this an invaluable comprehensive reference text. For the researcher and graduate student, every article contains open problems and points out directions for futurearch. The accessible nature of the work makes this an ideal introductory text for graduate seminars in applied probability, stochastic processes, physics, finance, and telecommunications, and a unique guide to the world of Lévy processes.

Stochastic Processes and Applications to Mathematical Finance

Author : Jiro Akahori,Shigeyoshi Ogawa,Shinzo Watanabe
Publisher : World Scientific
Page : 228 pages
File Size : 40,6 Mb
Release : 2006
Category : Mathematics
ISBN : 9789812565198

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Stochastic Processes and Applications to Mathematical Finance by Jiro Akahori,Shigeyoshi Ogawa,Shinzo Watanabe Pdf

Based around recent lectures given at the prestigious Ritsumeikan conference, the tutorial and expository articles contained in this volume are an essential guide for practitioners and graduates alike who use stochastic calculus in finance.Among the eminent contributors are Paul Malliavin and Shinzo Watanabe, pioneers of Malliavin Calculus. The coverage also includes a valuable review of current research on credit risks in a mathematically sophisticated way contrasting with existing economics-oriented articles.

Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes

Author : Aleksand Janicki,A. Weron
Publisher : CRC Press
Page : 376 pages
File Size : 42,5 Mb
Release : 2021-07-28
Category : Mathematics
ISBN : 9781000445077

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Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes by Aleksand Janicki,A. Weron Pdf

Presents new computer methods in approximation, simulation, and visualization for a host of alpha-stable stochastic processes.

Stochastic Stability of Differential Equations

Author : Rafail Khasminskii
Publisher : Springer Science & Business Media
Page : 353 pages
File Size : 48,8 Mb
Release : 2011-09-20
Category : Mathematics
ISBN : 9783642232800

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Stochastic Stability of Differential Equations by Rafail Khasminskii Pdf

Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure stability, and for the existence of stationary and periodic solutions of stochastic differential equations have been widely used in the literature. In this updated volume readers will find important new results on the moment Lyapunov exponent, stability index and some other fields, obtained after publication of the first edition, and a significantly expanded bibliography. This volume provides a solid foundation for students in graduate courses in mathematics and its applications. It is also useful for those researchers who would like to learn more about this subject, to start their research in this area or to study the properties of concrete mechanical systems subjected to random perturbations.

Lévy Matters VI

Author : Franziska Kühn
Publisher : Springer
Page : 245 pages
File Size : 45,9 Mb
Release : 2017-10-05
Category : Mathematics
ISBN : 9783319608884

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Lévy Matters VI by Franziska Kühn Pdf

Presenting some recent results on the construction and the moments of Lévy-type processes, the focus of this volume is on a new existence theorem, which is proved using a parametrix construction. Applications range from heat kernel estimates for a class of Lévy-type processes to existence and uniqueness theorems for Lévy-driven stochastic differential equations with Hölder continuous coefficients. Moreover, necessary and sufficient conditions for the existence of moments of Lévy-type processes are studied and some estimates on moments are derived. Lévy-type processes behave locally like Lévy processes but, in contrast to Lévy processes, they are not homogeneous in space. Typical examples are processes with varying index of stability and solutions of Lévy-driven stochastic differential equations. This is the sixth 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.

Stochastic Integration and Differential Equations

Author : Philip E. Protter
Publisher : Springer Verlag
Page : 302 pages
File Size : 42,5 Mb
Release : 1990
Category : Integrals, Stochastic
ISBN : 3540509968

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Stochastic Integration and Differential Equations by Philip E. Protter Pdf

This book is quite different from others on the subject in that it presents a rapid introduction to the modern semimartingale theory of stochastic integration and differential equations, without first having to treat the beautiful but highly technical "general theory of processes". The author's new approach (based on the theorem of Bitcheler-Dellacherie) also give a more intuitive understanding of the subject, and permits proofs to be much less technical. All of the major theorems of stochastic integration are given, including a comprehensive treatment (first time in English) of local times. A theory of stochastic differential equations driven by semimartingales is developed, including Fisk-Stratonovich equations, Markov properties, stability, and an introduction to the theory of flows. Further topics presented for the 1st time in book form include an elementary presentation of Azema's martingale. This book will quickly become a standard reference on the subject, to be used by specialists and non-specialists alike, both for the sake of the theory and for its application.

Stochastic Integration and Differential Equations

Author : Philip Protter
Publisher : Springer
Page : 430 pages
File Size : 54,6 Mb
Release : 2013-12-21
Category : Mathematics
ISBN : 9783662100615

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Stochastic Integration and Differential Equations by Philip Protter Pdf

It has been 15 years since the first edition of Stochastic Integration and Differential Equations, A New Approach appeared, and in those years many other texts on the same subject have been published, often with connections to applications, especially mathematical finance. Yet in spite of the apparent simplicity of approach, none of these books has used the functional analytic method of presenting semimartingales and stochastic integration. Thus a 2nd edition seems worthwhile and timely, though it is no longer appropriate to call it "a new approach". The new edition has several significant changes, most prominently the addition of exercises for solution. These are intended to supplement the text, but lemmas needed in a proof are never relegated to the exercises. Many of the exercises have been tested by graduate students at Purdue and Cornell Universities. Chapter 3 has been completely redone, with a new, more intuitive and simultaneously elementary proof of the fundamental Doob-Meyer decomposition theorem, the more general version of the Girsanov theorem due to Lenglart, the Kazamaki-Novikov criteria for exponential local martingales to be martingales, and a modern treatment of compensators. Chapter 4 treats sigma martingales (important in finance theory) and gives a more comprehensive treatment of martingale representation, including both the Jacod-Yor theory and Emery’s examples of martingales that actually have martingale representation (thus going beyond the standard cases of Brownian motion and the compensated Poisson process). New topics added include an introduction to the theory of the expansion of filtrations, a treatment of the Fefferman martingale inequality, and that the dual space of the martingale space H^1 can be identified with BMO martingales. Solutions to selected exercises are available at the web site of the author, with current URL http://www.orie.cornell.edu/~protter/books.html.

Set-Valued Stochastic Integrals and Applications

Author : Michał Kisielewicz
Publisher : Springer Nature
Page : 287 pages
File Size : 48,5 Mb
Release : 2020-06-26
Category : Mathematics
ISBN : 9783030403294

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Set-Valued Stochastic Integrals and Applications by Michał Kisielewicz Pdf

This book is among the first concise presentations of the set-valued stochastic integration theory as well as its natural applications, as well as the first to contain complex approach theory of set-valued stochastic integrals. Taking particular consideration of set-valued Itô , set-valued stochastic Lebesgue, and stochastic Aumann integrals, the volume is divided into nine parts. It begins with preliminaries of mathematical methods that are then applied in later chapters containing the main results and some of their applications, and contains many new problems. Methods applied in the book are mainly based on functional analysis, theory of probability processes, and theory of set-valued mappings. The volume will appeal to students of mathematics, economics, and engineering, as well as to mathematics professionals interested in applications of the theory of set-valued stochastic integrals.

Stochastic Differential Equations

Author : Rangquan Wu
Publisher : Pitman Advanced Publishing Program
Page : 166 pages
File Size : 50,6 Mb
Release : 1985
Category : Mathematics
ISBN : UCAL:B4405677

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Stochastic Differential Equations by Rangquan Wu Pdf

Mathematical Reviews

Author : Anonim
Publisher : Unknown
Page : 916 pages
File Size : 45,9 Mb
Release : 2008
Category : Mathematics
ISBN : UOM:39015078588632

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Mathematical Reviews by Anonim Pdf

JMSJ

Author : Nihon Sūgakkai
Publisher : Unknown
Page : 642 pages
File Size : 46,8 Mb
Release : 2005
Category : Mathematics
ISBN : UCSC:32106018590791

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JMSJ by Nihon Sūgakkai Pdf

Handbook of Stochastic Analysis and Applications

Author : D. Kannan,V. Lakshmikantham
Publisher : CRC Press
Page : 808 pages
File Size : 53,6 Mb
Release : 2001-10-23
Category : Mathematics
ISBN : 9781482294705

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Handbook of Stochastic Analysis and Applications by D. Kannan,V. Lakshmikantham Pdf

An introduction to general theories of stochastic processes and modern martingale theory. The volume focuses on consistency, stability and contractivity under geometric invariance in numerical analysis, and discusses problems related to implementation, simulation, variable step size algorithms, and random number generation.

Stochastic Differential Equations with Markovian Switching

Author : Xuerong Mao,Chenggui Yuan
Publisher : Imperial College Press
Page : 430 pages
File Size : 40,5 Mb
Release : 2006
Category : Mathematics
ISBN : 9781860947018

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Stochastic Differential Equations with Markovian Switching by Xuerong Mao,Chenggui Yuan Pdf

This textbook provides the first systematic presentation of the theory of stochastic differential equations with Markovian switching. It presents the basic principles at an introductory level but emphasizes current advanced level research trends. The material takes into account all the features of Ito equations, Markovian switching, interval systems and time-lag. The theory developed is applicable in different and complicated situations in many branches of science and industry.