ABSTRACT

Diffusion Processes, Jump Processes, and Stochastic Differential Equations provides a compact exposition of the results explaining interrelations between diffusion stochastic processes, stochastic differential equations and the fractional infinitesimal operators. The draft of this book has been extensively classroom tested by the author at Case Western Reserve University in a course that enrolled seniors and graduate students majoring in mathematics, statistics, engineering, physics, chemistry, economics and mathematical finance. The last topic proved to be particularly popular among students looking for careers on Wall Street and in research organizations devoted to financial problems.

Features

  • Quickly and concisely builds from basic probability theory to advanced topics
  • Suitable as a primary text for an advanced course in diffusion processes and stochastic differential equations
  • Useful as supplementary reading across a range of topics.

chapter Chapter 1|10 pages

Random Variables, Vectors, Processes, and Fields

chapter Chapter 2|15 pages

From Random Walk to Brownian Motion

chapter Chapter 3|16 pages

Poisson Processes and Their Mixtures

chapter Chapter 4|9 pages

Lévy Processes and the Lévy-Khinchine Formula

Basic Facts

chapter Chapter 5|12 pages

General Processes with Independent Increments

chapter Chapter 7|14 pages

Itô Stochastic Differential Equations

chapter Chapter 9|8 pages

Nonlinear Diffusion Equations