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Teoriya Veroyatnostei i ee Primeneniya, 1979, Volume 24, Issue 1, Pages 146–149 (Mi tvp961)  

This article is cited in 4 scientific papers (total in 4 papers)

Short Communications

On the strong solutions of stochastic differential equations with nonsmooth coefficients

A. V. Mel'nikov

Moscow
Full-text PDF (268 kB) Citations (4)
Abstract: By means of purely probabilistic methods we prove the existence of strong solution of a stochastic differential equation
$$ dx(t,\omega)=f(x(t,\omega))\,dt+dw(t,\omega),x(0,\omega)=x_0\in R^1,\ 0\le t\le T<\infty, $$
in the case when the drift coefficient $f(x)$ is bounded and piecewise smooth or continuous function.
Received: 17.01.1977
English version:
Theory of Probability and its Applications, 1979, Volume 24, Issue 1, Pages 147–150
DOI: https://doi.org/10.1137/1124012
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Mel'nikov, “On the strong solutions of stochastic differential equations with nonsmooth coefficients”, Teor. Veroyatnost. i Primenen., 24:1 (1979), 146–149; Theory Probab. Appl., 24:1 (1979), 147–150
Citation in format AMSBIB
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\by A.~V.~Mel'nikov
\paper On the strong solutions of stochastic differential equations with nonsmooth coefficients
\jour Teor. Veroyatnost. i Primenen.
\yr 1979
\vol 24
\issue 1
\pages 146--149
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\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=522244}
\zmath{https://zbmath.org/?q=an:0432.60076|0396.60055}
\transl
\jour Theory Probab. Appl.
\yr 1979
\vol 24
\issue 1
\pages 147--150
\crossref{https://doi.org/10.1137/1124012}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1979JX60900011}
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  • https://www.mathnet.ru/eng/tvp/v24/i1/p146
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
     
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