Abstract
This paper concerns with the variation in discrete time systems driven by a random walk, in contrast with the ordinary Malliavin calculus based on a Brownian motion. A derivative of random functionals with respect to a random walk is introduced and some its fundamental properties are shown. Theories parallel to Malliavin calculus are also discussed in view of applications for discrete time phenomena in signal processing, mathematical finance, and systems science and engineering.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Carmona, R.A., Tehranchi, M.R.: Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective. Springer, Berlin (2006)
Etherridge, A.: A Course in Financial Calculus. Cambridge University Press, Cambridge (2002)
Malliavin, P., Thalmaier, A.: Stochastic Calculus of Variations in Mathematical Finance. Springer, Berlin (2006)
Nualart, D.: The Malliavin Calculus and Related Topics. Springer, New York (1995)
Di Nunno, G., Øksendal, B., Proske, F.: Malliavin Calculus for Lévy Processes with Applications to Finance. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Endow, Y. (2009). On Stochastic Variation in Discrete Time Systems. In: Moreno-DÃaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2009. EUROCAST 2009. Lecture Notes in Computer Science, vol 5717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04772-5_64
Download citation
DOI: https://doi.org/10.1007/978-3-642-04772-5_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04771-8
Online ISBN: 978-3-642-04772-5
eBook Packages: Computer ScienceComputer Science (R0)