Abstract
This paper improves on the theory part of Williams [12]1 in that results assumed there are here proved. The Wiener-Hopf factorization is now formulated in terms of non-negative operators, so that problems concerning domains of infinitesimal generators and the like do not arise.
Duality results are proved for’ symmetric’ cases by extending two important probabilistic ideas for the Markov-chain context from Kennedy [4] and finding a way to transfer the chain arguments to general Markov processes. The whole functional-analysis picture for ‘symmetric’ cases becomes much more illuminating under the assumption that a certain strict-contraction property holds. Then Hilbertspace spectral theory meshes extraordinarily well with Probability Theory. Even for a 2×2 Markov chain, the strict-contraction property may fail. On the other hand. Williams and Marles [14] showed that the property holds in a wide variety of important cases including some where it might be expected to fail. It is hoped to throw more light on the property in a subsequent paper.
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
Barlow, M. T., Rogers, L. C. G. and Williams D., Wiener-Hopf factorization for matrices, Séminaire de probabilités, XIV (ed. J. Azéma and M. Yor), Lecture Notes in Math. 784 (Springer, Berlin, Heidelberg, New York, 1980), 324–331.
Davies, E. B., One-Parameter Semigroups London Math. Soc. Monograph series, No. 15, Academic Press, 1980.
Hille, E. and Phillips, R. S., Functional Analysis and Semigroups, American Mathematical Society Colloquium Publications, Volume XXXI, Providence, R. I., 1957.
Kennedy, J. E., A probabilistic view of some algebraic results in Wiener-Hopf theory for symmetrizable Markov chains. In Stochastics and Quantum Mechanics (edited by A. Truman and I. M. Davies) (World Scientific, 1992) 165–177.
Kennedy, J. E. and Williams, D., Probabilistic factorization of a quadratic matrix polynomial, Math. Proc. Camb. Philos. Soc. 107 1990, 591–600.
London, R. R., McKean, H. P., Rogers, L. C. G. and Williams, D., A martinagale approach to some Wiener-Hopf problems, II, Séminaire de probabilités XVI, edited by J. Azéma and M. Yor, Lecture Notes in Math 920, (Springer, Berlin), 1982, 68–90.
Rogers, L. C. G., Time-reversal of the noisy Wiener-Hopf factorisation, Proc. Symposia Pure Math, 57, (edited by M. C. Cranston and M. Pinsky) (Amer Math. Soc., Providence RI, 1995), 129–135.
Rogers, L. C. G. and Williams, D., Diffusions, Markov prcesses and martingales, Volume I: Foundations. Volume II: Itô calculus (Cambridge University Press, 2000) (originally published by Wiley).
Stroock, D. W. and Williams, D., A simple PDE and Wiener-Hopf Riccati equations, Comm. Pure Appl. Math. LVIII (2005), 1116–1148.
Stroock, D. W. and Williams, D., Further study of a simple PDE, Illinois J. Math. 50 (2006), 961–989.
Toland, J. F. and Williams, D., On the Schur test for L 2-boundedness of positive integral operators with a Wiener-Hopf example, J. Funct. Analysis 160 (1998) 543–560.
Williams, D., Some aspects of Wiener-Hopf factorization, Phil. Trans. Royal Soc. Lond. A 335 (1991), 593–608.
Williams, D. and Andrews, S., Indefinite inner products: a simple illustrative example, Math. Proc. Camb. Phil. Soc. 141 (2006), 127–159.
Williams, D. and Marles, D. S., Surprising contraction properties of Wiener-Hopf operators, Proc. Royal Soc. London, A 455 (1999), 2151–2164.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Williams, D. (2008). A new look at ‘Markovian’ Wiener-Hopf theory. In: Donati-Martin, C., Émery, M., Rouault, A., Stricker, C. (eds) Séminaire de Probabilités XLI. Lecture Notes in Mathematics, vol 1934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77913-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-540-77913-1_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77912-4
Online ISBN: 978-3-540-77913-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)