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Teoriya Veroyatnostei i ee Primeneniya, 2024, Volume 69, Issue 2, Pages 285–304
DOI: https://doi.org/10.4213/tvp5678
(Mi tvp5678)
 

One remark to the Itô formula

I. A. Ibragimovab, N. V. Smorodinaacb, M. M. Faddeevb

a St. Petersburg Department of Steklov Mathematical Institute of Russian Academy of Sciences
b Saint Petersburg State University
c Steklov Mathematical Institute of Russian Academy of Sciences, Moscow
References:
Abstract: In the classical Itô formula, we propose replacing the second derivative (understood in the usual sense) by the second derivative in the sense of differentiation of distributions. In particular, we show that this can be done if the first derivative lies in the class $L_{2,\mathrm{loc}}(\mathbf{R})$. Earlier, Föllmer, Protter, and Shiryayev [Bernoulli, 1 (1995), pp. 149–169] obtained a different form of the last term in the Itô formula under the same conditions.
Keywords: random process, local time, Itô formula, distribution.
Funding agency Grant number
Russian Science Foundation 23-11-00375
Received: 02.08.2023
Accepted: 05.02.2024
English version:
Theory of Probability and its Applications, 2024, Volume 69, Issue 2, Pages 227–242
DOI: https://doi.org/10.1137/S0040585X97T99188X
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: I. A. Ibragimov, N. V. Smorodina, M. M. Faddeev, “One remark to the Itô formula”, Teor. Veroyatnost. i Primenen., 69:2 (2024), 285–304; Theory Probab. Appl., 69:2 (2024), 227–242
Citation in format AMSBIB
\Bibitem{IbrSmoFad24}
\by I.~A.~Ibragimov, N.~V.~Smorodina, M.~M.~Faddeev
\paper One remark to the It\^{o} formula
\jour Teor. Veroyatnost. i Primenen.
\yr 2024
\vol 69
\issue 2
\pages 285--304
\mathnet{http://mi.mathnet.ru/tvp5678}
\crossref{https://doi.org/10.4213/tvp5678}
\transl
\jour Theory Probab. Appl.
\yr 2024
\vol 69
\issue 2
\pages 227--242
\crossref{https://doi.org/10.1137/S0040585X97T99188X}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85202555891}
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    Теория вероятностей и ее применения Theory of Probability and its Applications
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