Home | Contents | Submissions, editors, etc. | Login | Search | EJP
 Electronic Communications in Probability > Vol. 13 (2008) > Paper 20 open journal systems 


On the parabolic generator of a general one-dimensional Lévy process

Nathalie Eisenbaum, CNRS
Andreas Kyprianou, University of Bath


Abstract
The purpose of this note is twofold. Firstly to complete a recent accumulation of results concerning extended version of Ito's formula for any one dimensional Lévy processes, $X$. Secondly, we use the latter to characterise the parabolic generator of $X$, [ {bf A}:= left{ (f,g) : f(X_cdot,cdot) - int_0^cdot g(X_s, s)ds text{ is a local martingale} right}. ] We also establish a necessary condition for a pair of functions to be in the domain of the parabolic generator when $X$ has a Gaussian component.


Full text: PDF

Pages: 198-209

Published on: April 9, 2008


Bibliography
  1. Applebaum, David. Lévy processes and stochastic calculus.Cambridge Studies in Advanced Mathematics, 93. Cambridge University Press, Cambridge, 2004. xxiv+384 pp. ISBN: 0-521-83263-2 MR2072890 (2005h:60003)
  2. Séminaire de Probabilités. XXXII. [Seminar on Probability Theory. XXXII] Edited by J. Azéma, M. Émery, M. Ledoux and M. Yor.Lecture Notes in Mathematics, 1686. Springer-Verlag, Berlin, 1998. vi+429 pp. ISBN: 3-540-64376-1 MR1651223 (99f:60006)
  3. Bertoin, Jean. Lévy processes.Cambridge Tracts in Mathematics, 121. Cambridge University Press, Cambridge, 1996. x+265 pp. ISBN: 0-521-56243-0 MR1406564 (98e:60117)
  4. Bouleau, Nicolas; Yor, Marc. Sur la variation quadratique des temps locaux de certaines semimartingales.(French) C. R. Acad. Sci. Paris Sér. I Math. 292 (1981), no. 9, 491--494. MR0612544 (82d:60143)
  5. Eisenbaum N. (2000) : Integration with respect to local time. Potential Analysis 13 (303-328).
  6. Eisenbaum, Nathalie. Local time-space stochastic calculus for Lévy processes. Stochastic Process. Appl. 116 (2006), no. 5, 757--778. MR2218334 (2007k:60151)
  7. Eisenbaum N. (2007) : Local time-space calculus for reversible semi-martingales. Séminaire de Probab. XL, Lecture Notes in Maths 1899, 137-146 .
  8. Elworthy K.D., Truman A., Zhao H.Z. (2007) : Stochastic elementary formula and asymptotics with caustics. I. One-dimensional linear heat equations. Séminaire de Probab. XL, Lecture Notes in Maths 1899, 117-136.
  9. Errami, Mohammed; Russo, Francesco; Vallois, Pierre. Itô's formula for $Csp {1,lambda}$-functions of a càdlàg process and related calculus. Probab. Theory Related Fields 122 (2002), no. 2, 191--221. MR1894067 (2003a:60080)
  10. Feng, Chunrong; Zhao, Huaizhong. Two-parameter $p,q$-variation paths and integrations of local times. Potential Anal. 25 (2006), no. 2, 165--204. MR2238942
  11. Feng C. and Zhao H. (2008) : Rough paths integral of local time. To appear in C. R. Acad. Sci. Paris, Ser. I.
  12. Föllmer, Hans; Protter, Philip; Shiryayev, Albert N. Quadratic covariation and an extension of Itô's formula. Bernoulli 1 (1995), no. 1-2, 149--169. MR1354459 (96k:60121)
  13. Ghomrasni, R.; Peskir, G. Local time-space calculus and extensions of Itô's formula. High dimensional probability, III (Sandjberg, 2002), 177--192, Progr. Probab., 55, Birkhäuser, Basel, 2003. MR2033888 (2005j:60106)
  14. Kyprianou, A.E., Surya, B.A. (2005) A note on the change of variable formula with local time-space for bounded variation L'evy processes. S'eminaire de Probab. XL, Lecture Notes in Maths 1899, 97-104.
  15. Peskir, Goran. A change-of-variable formula with local time on curves. J. Theoret. Probab. 18 (2005), no. 3, 499--535. MR2167640 (2006k:60096)
  16. Peskir, G. (2006) : A change-of-variable formula with local time on surfaces. Séminaire de Probab. XL, Lecture Notes in Maths 1899, 69-96.
  17. Wang A. T. (1977) : Quadratic variation of functionals of Brownian motion. Ann. of Probab. 5 (756 - 769).
















Research
Support Tool
Capture Cite
View Metadata
Printer Friendly
Context
Author Address
Action
Email Author
Email Others


Home | Contents | Submissions, editors, etc. | Login | Search | EJP

Electronic Communications in Probability. ISSN: 1083-589X