Abstract
Brownian movement is the name given to the irregular movement of pollen, suspended in water, observed by the botanist Robert Brown in 1828. This random movement, now attributed to the buffeting of the pollen by water molecules, results in a dispersal or diffusion of the pollen in the water. The range of application of Brownian motion as defined here goes far beyond a study of microscopic particles in suspension and includes modeling of stock prices, of thermal noise in electrical circuits, of certain limiting behavior in queueing and inventory systems, and of random perturbations in a variety of other physical, biological, economic, and management systems. Furthermore, integration with respect to Brownian motion, developed in Chapter 3, gives us a unifying representation for a large class of martingales and diffusion processes. Diffusion processes represented this way exhibit a rich connection with the theory of partial differential equations (Chapter 4 and Section 5.7). In particular, to each such process there corresponds a second-order parabolic equation which governs the transition probabilities of the process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 1998 Springer Science+Business Media New York
About this chapter
Cite this chapter
Karatzas, I., Shreve, S.E. (1998). Brownian Motion. In: Brownian Motion and Stochastic Calculus. Graduate Texts in Mathematics, vol 113. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0949-2_2
Download citation
DOI: https://doi.org/10.1007/978-1-4612-0949-2_2
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-97655-6
Online ISBN: 978-1-4612-0949-2
eBook Packages: Springer Book Archive