La question suivante a été posée par Marc Yor: Soit B un mouvement Brownien et St=t+Bt. Peut-on définir un processus H qui est -prévisible tel que l'intégrale stochastique (H⋅S) soit un mouvement Brownien (sans drift) pour sa propre filtration ? Dans cet article nous fournissons une réponse affirmative en relâchant la condition que H soit -prévisible. Autrement dit, nous montrons qu'il existe une solution faible pour cette question de Yor. La question originale (c'est à dire, l'existence d'une solution forte) reste ouverte.
The following question is due to Marc Yor: Let B be a brownian motion and St=t+Bt. Can we define an -predictable process H such that the resulting stochastic integral (H⋅S) is a brownian motion (without drift) in its own filtration, i.e. an -brownian motion? In this paper we show that by dropping the requirement of -predictability of H we can give a positive answer to this question. In other words, we are able to show that there is a weak solution to Yor's question. The original question, i.e., existence of a strong solution, remains open.
Mots-clés : brownian motion with drift, stochastic integral, enlargement of filtration
@article{AIHPB_2011__47_2_498_0, author = {Prokaj, Vilmos and R\'asonyi, Mikl\'os and Schachermayer, Walter}, title = {Hiding a constant drift}, journal = {Annales de l'I.H.P. Probabilit\'es et statistiques}, pages = {498--514}, publisher = {Gauthier-Villars}, volume = {47}, number = {2}, year = {2011}, doi = {10.1214/10-AIHP363}, mrnumber = {2814420}, zbl = {1216.60048}, language = {en}, url = {http://archive.numdam.org/articles/10.1214/10-AIHP363/} }
TY - JOUR AU - Prokaj, Vilmos AU - Rásonyi, Miklós AU - Schachermayer, Walter TI - Hiding a constant drift JO - Annales de l'I.H.P. Probabilités et statistiques PY - 2011 SP - 498 EP - 514 VL - 47 IS - 2 PB - Gauthier-Villars UR - http://archive.numdam.org/articles/10.1214/10-AIHP363/ DO - 10.1214/10-AIHP363 LA - en ID - AIHPB_2011__47_2_498_0 ER -
%0 Journal Article %A Prokaj, Vilmos %A Rásonyi, Miklós %A Schachermayer, Walter %T Hiding a constant drift %J Annales de l'I.H.P. Probabilités et statistiques %D 2011 %P 498-514 %V 47 %N 2 %I Gauthier-Villars %U http://archive.numdam.org/articles/10.1214/10-AIHP363/ %R 10.1214/10-AIHP363 %G en %F AIHPB_2011__47_2_498_0
Prokaj, Vilmos; Rásonyi, Miklós; Schachermayer, Walter. Hiding a constant drift. Annales de l'I.H.P. Probabilités et statistiques, Tome 47 (2011) no. 2, pp. 498-514. doi : 10.1214/10-AIHP363. http://archive.numdam.org/articles/10.1214/10-AIHP363/
[1] Sur la construction d'une martingale continue, de valeur absolue donnée. In Seminar on Probability, XIV (Paris, 1978/1979) (French). Lecture Notes in Math. 784 62-75. Springer, Berlin, 1980. | Numdam | MR | Zbl
and .[2] Stochastic bifurcation models. Ann. Probab. 27 (1999) 50-108. | MR | Zbl
and .[3] A remark on Tsirelson's stochastic differential equation. In Séminaire de Probabilités, XXXIII. Lecture Notes in Math. 1709 291-303. Springer, Berlin, 1999. | Numdam | MR | Zbl
and .[4] Diffusion Processes and Their Sample Paths. Die Grundlehren der Mathematischen Wissenschaften 125. Academic Press, New York, 1965. | MR | Zbl
and[5] Random Times and Enlargements of Filtrations in a Brownian Setting. Lecture Notes in Mathematics 1873. Springer, Berlin, 2006. | MR | Zbl
and .[6] Stochastic Integrals. Probability and Mathematical Statistics 5. Academic Press, New York, 1969. | MR | Zbl
[7] Unfolding the Skorohod reflection of a semimartingale. Statist. Probab. Lett. 79 (2009) 534-536. | MR | Zbl
.[8] Stochastic Integration and Differential Equations, 2nd edition. Applications of Mathematics (New York) 21. Springer, Berlin, 2004. | MR | Zbl
.[9] Hiding the drift. Ann. Probab. 37 (2009) 2459-2470. Available at http://arxiv.org/abs/0802.1152. | MR
, and .[10] Continuous Martingales and Brownian Motion. Grundlehren der Mathematischen Wissenschaften 293. Springer, Berlin, 1991. | MR | Zbl
and .[11] Creation or deletion of a drift on a Brownian trajectory. In Séminaire de Probabilités XLI. Lecture Notes in Math. 1934 215-232. Springer, Berlin, 2008. | MR | Zbl
.[12] An example of a stochastic differential equation that has no strong solution. Teor. Verojatnost. i Primenen. 20 (1975) 427-430. | MR | Zbl
.Cité par Sources :