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Teoriya Veroyatnostei i ee Primeneniya, 1997, Volume 42, Issue 4, Pages 826–831
DOI: https://doi.org/10.4213/tvp2615
(Mi tvp2615)
 

This article is cited in 2 scientific papers (total in 2 papers)

Short Communications

On the existence of strong solutions of linear stochastic differential equations in $\mathbb{R}^\infty$

Yu. V. Mednitskii

M. V. Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Full-text PDF (363 kB) Citations (2)
Abstract: In this work we prove the existence of a strong solution of a linear stochastic differential equation in $\mathbb R^\infty$. We use an infinite-dimensional modification of the method of successive approximations to find a solution to systems of a special form as well as an analogue of the Jordan method of reducing a matrix to a block form. The nonuniqueness of the constructed solution is shown.
Received: 24.04.1996
English version:
Theory of Probability and its Applications, 1998, Volume 42, Issue 4, Pages 702–706
DOI: https://doi.org/10.1137/S0040585X97976568
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: Yu. V. Mednitskii, “On the existence of strong solutions of linear stochastic differential equations in $\mathbb{R}^\infty$”, Teor. Veroyatnost. i Primenen., 42:4 (1997), 826–831; Theory Probab. Appl., 42:4 (1998), 702–706
Citation in format AMSBIB
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\paper On the existence of strong solutions of linear stochastic differential equations in $\mathbb{R}^\infty$
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\jour Theory Probab. Appl.
\yr 1998
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  • https://doi.org/10.4213/tvp2615
  • https://www.mathnet.ru/eng/tvp/v42/i4/p826
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Теория вероятностей и ее применения Theory of Probability and its Applications
     
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