Brownian Motion
-
René L. Schilling
and Lothar Partzsch -
With contributions by:
Björn Böttcher
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.
Author / Editor information
René L. Schilling and Lothar Partzsch, Dresden University of Technology, Germany.
Supplementary Materials
Topics
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Frontmatter
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Also of Interest
II -
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Preface to the second edition
V -
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Preface
VI -
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Contents
IX -
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Dependence chart
XIII -
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Index of notation
XV -
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1. Robert Brown’s new thing
1 -
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2. Brownian motion as a Gaussian process
7 -
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3. Constructions of Brownian motion
20 -
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4. The canonical model
38 -
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5. Brownian motion as a martingale
46 -
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6. Brownian motion as a Markov process
59 -
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7. Brownian motion and transition semigroups
81 -
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8. The PDE connection
114 -
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9. The variation of Brownian paths
136 -
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10. Regularity of Brownian paths
150 -
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11. Brownian motion as a random fractal
160 -
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12. The growth of Brownian paths
181 -
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13. Strassen’s functional law of the iterated logarithm
191 -
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14. Skorokhod representation
211 -
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15. Stochastic integrals: L2-Theory
220 -
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16. Stochastic integrals: beyond L2T
242 -
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17 Itô’s formula
248 -
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18. Applications of Itô’s formula
268 -
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19. Stochastic differential equations
290 -
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20. Stratonovich’s stochastic calculus
322 -
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21. On diffusions
332 -
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22. Simulation of Brownian motion by Björn Böttcher
345 -
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A. Appendix
359 -
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Bibliography
393 -
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Index
403