Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-28T14:42:52.085Z Has data issue: false hasContentIssue false

The Brownian bridge as a flat integral

Published online by Cambridge University Press:  28 June 2011

Nigel Cutland
Affiliation:
Department of Pure Mathematics, University of Hull, Hull HU6 7RX, England

Extract

The family of Brownian bridge processes (ba)a∈R has a number of characterizations, the most fundamental being that ba: [0,1] → ℝ is Brownian motion conditioned to be at the point a at time 1. Equivalently, ba is a continuous process whose law Wa is that of Wiener measure conditioned on the set of paths with x1 = a. These ideas are not so easy to make precise, so that more down to earth and workable characterizations of the Brownian bridge such as the following are often used in practice (see [6] for example)

Type
Research Article
Copyright
Copyright © Cambridge Philosophical Society 1989

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Albeverio, S., Fenstad, J. E., Høegh-Krohn, R. and Lindstrøm, T.. Nonstandard Methods in Stochastic Analysis and Mathematical Physics (Academic Press, 1986).Google Scholar
[2] Cutland, N. J.. Nonstandard measure theory and its applications. Bull. London Math. Soc. 15 (1983), 529589.CrossRefGoogle Scholar
[3] Cutland, N. J.. Infinitesimals in action. J. London Math. Soc. (2) 35 (1987), 202216.Google Scholar
[4] Cutland, N. J.. An action functional for Levy Brownian motion. (To appear.)Google Scholar
[5] Lindstrøm, T.. An invitation to nonstandard analysis. In Nonstandard Analysis and its Applications (Cambridge University Press, 1988).Google Scholar
[6] Rogers, L. C. G. and Williams, D.. Diffusions, Markov Processes and Martingales, vol. 2. Itô Calculus (J. Wiley, 1987).Google Scholar
[8] Varadhan, S. R. S.. Large Deviations and Applications. CBMS-NSF Regional Conf. Ser. in Appl. Math. no. 46 (SIAM, 1984).CrossRefGoogle Scholar