Brownian motion, Ito calculus, and Fokker-Planck equation : fractional generalizations /
First Statement of Responsibility
by Sabir Umarov (University of New Haven, USA), Marjorie Hahn (Tufts University, USA), Kei Kobayashi (Fordham University, USA).
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New Jersey :
Name of Publisher, Distributor, etc.
World Scientific,
Date of Publication, Distribution, etc.
2017.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
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Intro; Contents; Preface; Acknowledgments; 1. Introduction; 1.1 Why fractional generalizations of the Fokker-Planck equation?; 1.2 The problem formulation; 2. The original triangle: Brownian motion, Ito stochastic calculus, and Fokker-Planck-Kolmogorov equation; 2.1 Introduction; 2.2 Brownian motion; 2.3 Ito calculus; 2.4 FPK equations for stochastic processes driven by Brownian motion; 2.4.1 FPK equation associated with Brownian motion; 2.4.2 FPK equations associated with SDEs driven by Brownian motion; 2.4.3 Connection with semigroup theory.
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2.4.4 Markovian processes and the Chapman-Kolmogorov equation 2.4.5 FPK equations associated with SDEs driven by Brownian motion in bounded domains; 3. Fractional Calculus; 3.1 The Riemann-Liouville fractional derivative; 3.2 The Caputo-Djrbashian fractional derivative; 3.3 Laplace transform of fractional derivatives; 3.4 Distributed order differential operators; 3.5 The Liouville-Weyl fractional derivatives and the Fourier transform; 3.6 The Riesz potential and the Riesz-Feller fractional derivative; 3.7 Multi-dimensional Riesz potentials and hyper-singular integrals.
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4. Pseudo-differential operators associated with Levy processesIntroduction; 4.1 Pseudo-differential operators; 4.2 Pseudo-differential operators with singular symbols; 4.3 Pseudo-differential operators associated with Levy processes; 4.4 Some abstract facts on semigroups and linear operators; 4.5 Pseudo-differential operators on manifolds; 4.6 Pseudo-differential operators associated with stochastic processes in bounded domains; 5. Stochastic processes and time-changes; Introduction; 5.1 The Skorokhod space and its relevant topologies; 5.2 Semimartingales and time-changes; 5.3 Levy processes.
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5.4 Subordinators and their inverses5.5 Gaussian processes; 6. Stochastic calculus for time-changed semimartingales and its applications to SDEs; Introduction; 6.1 Stochastic calculus for time-changed semimartingales; 6.2 SDEs driven by time-changed semimartingales; 6.3 CTRW approximations of time-changed processes in the Skorokhod spaces; 6.4 CTRW approximations of time-changed processes in the sense of finite-dimensional distributions; 6.5 Approximations of stochastic integrals driven by time-changed processes; 6.6 Numerical approximations of SDEs driven by a time-changed Brownian motion.
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7. Fractional Fokker-Planck-Kolmogorov equationsIntroduction; 7.1 FPK and FPK equations associated with SDEs driven by Brownian motion and Levy processes; 7.2 TFFPK /TDFPK equations associated with SDEs driven by time-changed Levy processes; 7.2.1 Theory; 7.2.2 Applications; 7.3 FPK equations associated with SDEs driven by fractional Brownian motion; 7.3.1 An operator approach to derivation of fractional FPK equations; 7.4 Fractional FPK equations associated with stochastic processes which are time changes of solutions of SDEs driven by fractional Brownian motion; 7.4.1 Theory.