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  • Textbook
  • © 2016

Stochastic Integration by Parts and Functional Itô Calculus

Birkhäuser
  • Includes a general method for
  • proving existence of a density for stochastic processes, using interpolation
  • Illustrates a pathwise derivation of the Ito formula and the Functional Ito calculus
  • Provides solutions to problems in applied fields such as mathematical finance

Part of the book series: Advanced Courses in Mathematics - CRM Barcelona (ACMBIRK)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-ix
  2. Integration by Parts Formulas, Malliavin Calculus, and Regularity of Probability Laws

    1. Front Matter

      Pages 1-7
    2. Integration by parts formulas and the Riesz transform

      • Vlad Bally, Lucia Caramellino
      Pages 9-31
    3. Construction of integration by parts formulas

      • Vlad Bally, Lucia Caramellino
      Pages 33-81
    4. Regularity of probability laws by using an interpolation method

      • Vlad Bally, Lucia Caramellino
      Pages 83-114
  3. Functional Itô Calculus and Functional Kolmogorov Equations

    1. Front Matter

      Pages 115-117
    2. Overview

      • Rama Cont
      Pages 119-123
    3. The functional Itô formula

      • Rama Cont
      Pages 153-162
    4. Functional Kolmogorov equations

      • Rama Cont
      Pages 183-207
  4. Back Matter

    Pages 208-208

About this book

This volume contains lecture notes from the courses given by Vlad Bally and Rama Cont at the Barcelona Summer School on Stochastic Analysis (July 2012).

The notes of the course by Vlad Bally, co-authored with Lucia Caramellino, develop integration by parts formulas in an abstract setting, extending Malliavin's work on abstract Wiener spaces. The results are applied to prove absolute continuity and regularity results of the density for a broad class of random processes.

Rama Cont's notes provide an introduction to the Functional Itô Calculus, a non-anticipative functional calculus that extends the classical Itô calculus to path-dependent functionals of stochastic processes. This calculus leads to a new class of path-dependent partial differential equations, termed Functional Kolmogorov Equations, which arise in the study of martingales and forward-backward stochastic differential equations.

This book will appeal to both young and senior researchers in probability and stochastic processes, as well as to practitioners in mathematical finance.

Authors, Editors and Affiliations

  • Departament de Matemàtiques, Universitat Autònoma de Barcelona Departament de Matemàtiques, Bellaterra, Spain

    Frederic Utzet

  • Faculty of Mathematics, University of Barcelona Faculty of Mathematics, Barcelona, Spain

    Josep Vives

  • Cité Descartes 5, Université de Marne-la-Vallée, Marne la Vallée, France

    Vlad Bally

  • Dipartimento di Matematica, Università di Roma Tor Vergata, Roma, Italy

    Lucia Caramellino

  • Department of Mathematics, Imperial College, London, UK

    Rama Cont

Bibliographic Information

Buy it now

Buying options

eBook USD 29.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 39.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access