Stochastic Integrals
eBook - PDF

Stochastic Integrals

  1. 154 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

Stochastic Integrals discusses one area of diffusion processes: the differential and integral calculus based upon the Brownian motion. The book reviews Gaussian families, construction of the Brownian motion, the simplest properties of the Brownian motion, Martingale inequality, and the law of the iterated logarithm. It also discusses the definition of the stochastic integral by Wiener and by Ito, the simplest properties of the stochastic integral according to Ito, and the solution of the simplest stochastic differential equation. The book explains diffusion, Lamperti's method, forward equation, Feller's test for the explosions, Cameron-Martin's formula, the Brownian local time, and the solution of dx=e(x) db + f(x) dt for coefficients with bounded slope. It also tackles Weyl's lemma, diffusions on a manifold, Hasminski's test for explosions, covering Brownian motions, Brownian motions on a Lie group, and Brownian motion of symmetric matrices. The book gives as example of a diffusion on a manifold with boundary the Brownian motion with oblique reflection on the closed unit disk of R squared. The text is suitable for economists, scientists, or researchers involved in probabilistic models and applied mathematics.

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Yes, you can access Stochastic Integrals by H. P. McKean, Z. W. Birnbaum,E. Lukacs in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Stochastic Integrals
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. List of Notations
  7. Chapter 1. Brownian Motion
  8. Chapter 2. Stochastic Integrals and Differentials
  9. Chapter 3. Stochastic Integral Equations (d = 1)
  10. Chapter 4. Stochastic Integral Equations (d ≥ 2)
  11. References
  12. Subject Index