Brownian Motion
eBook - PDF

Brownian Motion

  1. 394 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

Brownian motion is one of the most important stochastic processes in continuous time and with continuous state space. Within the realm of stochastic processes, Brownian motion is at the intersection of Gaussian processes, martingales, Markov processes, diffusions and random fractals, and it has influenced the study of these topics. Its central position within mathematics is matched by numerous applications in science, engineering and mathematical finance.

Often textbooks on probability theory cover, if at all, Brownian motion only briefly. On the other hand, there is a considerable gap to more specialized texts on Brownian motion which is not so easy to overcome for the novice. The authors' aim was to write a book which can be used as an introduction to Brownian motion and stochastic calculus, and as a first course in continuous-time and continuous-state Markov processes. They also wanted to have a text which would be both a readily accessible mathematical back-up for contemporary applications (such as mathematical finance) and a foundation to get easy access to advanced monographs.

This textbook, tailored to the needs of graduate and advanced undergraduate students, covers Brownian motion, starting from its elementary properties, certain distributional aspects, path properties, and leading to stochastic calculus based on Brownian motion. It also includes numerical recipes for the simulation of Brownian motion.

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Yes, you can access Brownian Motion by René L. Schilling,Lothar Partzsch in PDF and/or ePUB format, as well as other popular books in Mathematics & Teaching Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2012
Print ISBN
9783110278897
eBook ISBN
9783110278989

Table of contents

  1. Preface
  2. Dependence chart
  3. Index of notation
  4. 1 Robert Brown’s new thing
  5. 2 Brownian motion as a Gaussian process
  6. 3 Constructions of Brownian motion
  7. 4 The canonical model
  8. 5 Brownian motion as a martingale
  9. 6 Brownian motion as a Markov process
  10. 7 Brownian motion and transition semigroups
  11. 8 The PDE connection
  12. 9 The variation of Brownian paths
  13. 10 Regularity of Brownian paths
  14. 11 The growth of Brownian paths
  15. 12 Strassen’s Functional Law of the Iterated Logarithm
  16. 13 Skorokhod representation
  17. 14 Stochastic integrals: L2-Theory
  18. 15 Stochastic integrals: beyond L2T
  19. 16 Itô’s formula
  20. 17 Applications of Itô’s formula
  21. 18 Stochastic differential equations
  22. 19 On diffusions
  23. 20 Simulation of Brownian motion
  24. Appendix
  25. Index