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Dirichlet forms methods for Poisson ...
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Denis, Laurent.
Dirichlet forms methods for Poisson point measures and Levy processes = with emphasis on the creation-annihilation techniques /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Dirichlet forms methods for Poisson point measures and Levy processes/ by Nicolas Bouleau, Laurent Denis.
Reminder of title:
with emphasis on the creation-annihilation techniques /
Author:
Bouleau, Nicolas.
other author:
Denis, Laurent.
Published:
Cham :Springer International Publishing : : 2015.,
Description:
xviii, 323 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Dirichlet forms. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-25820-1
ISBN:
9783319258201
Dirichlet forms methods for Poisson point measures and Levy processes = with emphasis on the creation-annihilation techniques /
Bouleau, Nicolas.
Dirichlet forms methods for Poisson point measures and Levy processes
with emphasis on the creation-annihilation techniques /[electronic resource] :by Nicolas Bouleau, Laurent Denis. - Cham :Springer International Publishing :2015. - xviii, 323 p. :ill., digital ;24 cm. - Probability theory and stochastic modelling,v.762199-3130 ;. - Probability theory and stochastic modelling ;v.72..
Introduction -- Notations and Basic Analytical Properties -- 1.Reminders on Poisson Random Measures, Levy Processes and Dirichlet Forms -- 2.Dirichlet Forms and (EID) -- 3.Construction of the Dirichlet Structure on the Upper Space -- 4.The Lent Particle Formula and Related Formulae -- 5.Sobolev Spaces and Distributions on Poisson Space -- 6 -- Space-Time Setting and Processes -- 7.Applications to Stochastic Differential Equations driven by a Random Measure -- 8.Affine Processes, Rates Models -- 9.Non Poissonian Cases -- A.Error Structures -- B.The Co-Area Formula -- References.
A simplified approach to Malliavin calculus adapted to Poisson random measures is developed and applied in this book. Called the "lent particle method" it is based on perturbation of the position of particles. Poisson random measures describe phenomena involving random jumps (for instance in mathematical finance) or the random distribution of particles (as in statistical physics) Thanks to the theory of Dirichlet forms, the authors develop a mathematical tool for a quite general class of random Poisson measures and significantly simplify computations of Malliavin matrices of Poisson functionals. The method gives rise to a new explicit calculus that they illustrate on various examples: it consists in adding a particle and then removing it after computing the gradient. Using this method, one can establish absolute continuity of Poisson functionals such as Levy areas, solutions of SDEs driven by Poisson measure and, by iteration, obtain regularity of laws. The authors also give applications to error calculus theory. This book will be of interest to researchers and graduate students in the fields of stochastic analysis and finance, and in the domain of statistical physics. Professors preparing courses on these topics will also find it useful. The prerequisite is a knowledge of probability theory.
ISBN: 9783319258201
Standard No.: 10.1007/978-3-319-25820-1doiSubjects--Topical Terms:
788123
Dirichlet forms.
LC Class. No.: QA274.2 / .B684 2015
Dewey Class. No.: 519.22
Dirichlet forms methods for Poisson point measures and Levy processes = with emphasis on the creation-annihilation techniques /
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Introduction -- Notations and Basic Analytical Properties -- 1.Reminders on Poisson Random Measures, Levy Processes and Dirichlet Forms -- 2.Dirichlet Forms and (EID) -- 3.Construction of the Dirichlet Structure on the Upper Space -- 4.The Lent Particle Formula and Related Formulae -- 5.Sobolev Spaces and Distributions on Poisson Space -- 6 -- Space-Time Setting and Processes -- 7.Applications to Stochastic Differential Equations driven by a Random Measure -- 8.Affine Processes, Rates Models -- 9.Non Poissonian Cases -- A.Error Structures -- B.The Co-Area Formula -- References.
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A simplified approach to Malliavin calculus adapted to Poisson random measures is developed and applied in this book. Called the "lent particle method" it is based on perturbation of the position of particles. Poisson random measures describe phenomena involving random jumps (for instance in mathematical finance) or the random distribution of particles (as in statistical physics) Thanks to the theory of Dirichlet forms, the authors develop a mathematical tool for a quite general class of random Poisson measures and significantly simplify computations of Malliavin matrices of Poisson functionals. The method gives rise to a new explicit calculus that they illustrate on various examples: it consists in adding a particle and then removing it after computing the gradient. Using this method, one can establish absolute continuity of Poisson functionals such as Levy areas, solutions of SDEs driven by Poisson measure and, by iteration, obtain regularity of laws. The authors also give applications to error calculus theory. This book will be of interest to researchers and graduate students in the fields of stochastic analysis and finance, and in the domain of statistical physics. Professors preparing courses on these topics will also find it useful. The prerequisite is a knowledge of probability theory.
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Mathematics and Statistics (Springer-11649)
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