Abstract
In this work we show how results from stochastic integration with respect to multifractional Brownian motion (mBm) can be simply deduced from results of stochastic integration with respect to fractional Brownian motion (fBm), by using a “Transfer Principle”. To illustrate this fact, we prove an Itô formula for integral with respect to mBm by deriving it from Itô formula for integral with respect to fBm, of any Hurst index H in (0, 1).
Similar content being viewed by others
Data Availability
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Notes
The fBm is said to be normalized when \(\gamma _{H}=1\).
see e.g. [15, Lemma 2.6]
One can replace Z(0, H) by 0 in order to eliminate the singularity at \(t=0\), when \(2\,H-1\le 0\).
References
Alòs, E., Mazet, O., Nualart, D.: Stochastic calculus with respect to Gaussian processes. Ann. Probab. 29(2), 766–801 (2001)
Ayache, A., Taqqu, M.S.: Multifractional processes with random exponent. Publ. Mat. 49(2), 459–486 (2005)
Benassi, A., Jaffard, S., Roux, D.: Elliptic Gaussian random processes. Rev. Mat. Iberoam. 13(1), 19–90 (1997)
Bender, C.: An Itô formula for generalized functionals of a fractional Brownian motion with arbitrary Hurst parameter. Stoch. Process. Appl. 104, 81–106 (2003)
Bender, C.: An \(S\)-transform approach to integration with respect to a fractional Brownian motion. Bernoulli 9(6), 955–983 (2003)
Elliott, R., Van der Hoek, J.: A general fractional white noise theory and applications to finance. Math. Finance 13(2), 301–330 (2003)
Hille, E., Phillips, R.: Functional Analysis and Semi-Groups, volume 31. American Mathematical Society (1957)
Holden, H., Oksendal, B., Ubøe, J., Zhang, T.: Stochastic Partial Differential Equations. A Modeling White Noise Functional Approach, 2nd edn. Springer, Berlin (2010)
Hu, Y.-Z., Yan, J.-A.: Wick calculus for nonlinear Gaussian functionals. Acta Math. Appl. Sin. Engl. Ser. 25(3), 399–414 (2009)
Janson, S.: Gaussian Hilbert Spaces. Cambridge Tracts in Mathematics, vol. 129. Cambridge University Press, Cambridge (1997)
Kuo, H.: White Noise Distribution Theory. CRC-Press, Boca Raton (1996)
Lebovits, J.: From stochastic integral w.r.t. fractional Brownian motion to stochastic integral w.r.t. multifractional Brownian motion. Ann. Univ. Buchar. Math. Ser. 4(LXII)(1), 397–413 (2013)
Lebovits, J.: Stochastic calculus with respect to Gaussian processes. Potential Anal. 50(1), 1–42 (2019)
Lebovits, J.: Local Times of Gaussian Processes. (2020). Preprint http://adsabs.harvard.edu/abs/2017arXiv170305006L
Lebovits, J., Lévy Véhel, J.: White noise-based stochastic calculus with respect to multifractional Brownian motion. Stochastics 86(1), 87–124 (2014)
Lebovits, J., Lévy Véhel, J., Herbin, E.: Stochastic integration with respect to multifractional Brownian motion via tangent fractional Brownian motions. Stochastic Process. Appl. 124(1), 678–708 (2014)
Lei, P., Nualart, D.: Stochastic calculus for Gaussian processes and application to hitting times. Commun. Stoch. Anal. 6(3), 379–402 (2012)
Peltier, R., Lévy Véhel, J.: Multifractional Brownian motion definition and preliminary results, (1995). rapport de recherche de l’INRIA no. 2645
Stoev, S., Taqqu, M.: How rich is the class of multifractional Brownian motions? Stoch. Process. Appl. 116, 200–221 (2006)
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors whose names are listed immediately below certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix: Background on the Bochner integral
Appendix: Background on the Bochner integral
In order not to weigh down this statement we will only give the necessary tools to proceed. On can refer to [11, p. 247] as well as to [7] for more details about Bochner integral.
Definition 2
(Bochner integral [11], p. 247) Let I be a Borel subset of [0, 1] and \(\Phi :={(\Phi _t)}_{t\in I}\) be an \({({\mathcal {S}})}^*\)-valued process verifying:
-
(i)
the process \(\Phi \) is weakly measurable on I i.e. the map \(t \mapsto<-0.2\,cm<-0.1\,cm \Phi _t,\varphi \ -0.1\,cm>-0.2\,cm>\) is measurable on I, for every \(\varphi \) in \(({\mathcal {S}})\).
-
(ii)
there exists \(p \in {\textbf{N}}\) such that \(\Phi _t \in ({{\mathcal {S}}}_{-p})\) for almost every \(t \in I\) and \(t \mapsto {\Vert \Phi _t\Vert }_{-p}\) belongs to \(L^1(I)\).
Then there exists an unique element in \({({\mathcal {S}})}^{*}\), noted \(\int _{I} \Phi _{u} \ du \), called the Bochner integral of \(\Phi \) on I such that, for all \(\varphi \) in \(({\mathcal {S}})\),
In this latter case one says that \(\Phi \) is Bochner-integrable on I with index p.
Proposition A.1
If \(\Phi -0.1\,cm:I -0.15\,cm \rightarrow -0.1\,cm {({\mathcal {S}})}^{*}\) is Bochner-integrable on I with index p then \({\Vert \int _{I} \Phi _t \ dt \Vert }_{-p} \le \int _{I} {\Vert \Phi _t\Vert }_{-p} \ dt.\)
Theorem A.2
([11], Theorem 13.5) Let \(\Phi :={(\Phi _t)}_{t\in [0,1]}\) be an \({({\mathcal {S}})}^{*}\)-valued process such that:
-
(i)
\(t\mapsto S(\Phi _t)(\eta )\) is measurable for every \(\eta \) in \({\mathscr {S}}({\textbf{R}})\).
-
(ii)
There exist p in \({\textbf{N}}\), b in \({\textbf{R}}^+\) and a function L in \(L^1([0,1], dt)\) such that, for a.e. t in [0, 1], \(|S(\Phi _t)(\eta )| \le L(t) \ e^{b {| \eta |}^2_{p} }\), for every \(\eta \) in \({\mathscr {S}}({\textbf{R}})\).
Then \(\Phi \) is Bochner integrable on [0, 1] and \(\int ^1_0 \Phi (s) \ ds \in ({{\mathcal {S}}}_{-q})\) for every \(q > p\) such that \(2 \cdot b\cdot e^2\cdot D(q-p) < 1\), where e denotes the base of the natural logarithm and where \(D(r):= \frac{1}{2^{2r}} \ \sum ^{+\infty }_{n=1} \frac{1}{n^{2r}}\), for any r in \((1/2,+\infty )\).
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Bender, C., Lebovits, J. & Lévy Véhel, J. General Transfer Formula for Stochastic Integral with Respect to Multifractional Brownian Motion. J Theor Probab 37, 905–932 (2024). https://doi.org/10.1007/s10959-023-01258-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10959-023-01258-5