Ebook: Continuous Strong Markov Processes in Dimension One: A stochastic calculus approach
- Genre: Mathematics // Mathematicsematical Statistics
- Tags: Probability Theory and Stochastic Processes, Statistical Theory and Methods
- Series: Lecture Notes in Mathematics 1688
- Year: 1998
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- djvu
The book presents an in-depth study of arbitrary one-dimensional continuous strong Markov processes using methods of stochastic calculus. Departing from the classical approaches, a unified investigation of regular as well as arbitrary non-regular diffusions is provided. A general construction method for such processes, based on a generalization of the concept of a perfect additive functional, is developed. The intrinsic decomposition of a continuous strong Markov semimartingale is discovered. The book also investigates relations to stochastic differential equations and fundamental examples of irregular diffusions.
The book presents an in-depth study of arbitrary one-dimensional continuous strong Markov processes using methods of stochastic calculus. Departing from the classical approaches, a unified investigation of regular as well as arbitrary non-regular diffusions is provided. A general construction method for such processes, based on a generalization of the concept of a perfect additive functional, is developed. The intrinsic decomposition of a continuous strong Markov semimartingale is discovered. The book also investigates relations to stochastic differential equations and fundamental examples of irregular diffusions.
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