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Teoriya Veroyatnostei i ee Primeneniya, 1980, Volume 25, Issue 4, Pages 675–682 (Mi tvp1224)  

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

Stochastic differential equations depending on a parameter

A. V. Skorohod

Kiev
Full-text PDF (467 kB) Citations (2)
Abstract: We consider a stochastic differential equation
$$ d\xi_\theta=a_\theta(t,\xi_\theta(\,\cdot\,))\,dt+B_\theta(t,\xi_\theta(t))\,dw(t),\qquad\xi_\theta(0)=x_\theta, $$
such that its coefficients and initial condition are continuous functions of $\theta\in\Theta$, where $\Theta$ is a complete metric space. If an equation has a strong solution on a dense subset $\Theta_1\subset\Theta$, then $\Theta_1$ is of the second category and coincides with the set $\Theta_0$ of continuity of $\xi_\theta(t)$.
Received: 04.07.1979
English version:
Theory of Probability and its Applications, 1981, Volume 25, Issue 4, Pages 659–666
DOI: https://doi.org/10.1137/1125083
Bibliographic databases:
Language: Russian
Citation: A. V. Skorohod, “Stochastic differential equations depending on a parameter”, Teor. Veroyatnost. i Primenen., 25:4 (1980), 675–682; Theory Probab. Appl., 25:4 (1981), 659–666
Citation in format AMSBIB
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\by A.~V.~Skorohod
\paper Stochastic differential equations depending on a~parameter
\jour Teor. Veroyatnost. i Primenen.
\yr 1980
\vol 25
\issue 4
\pages 675--682
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\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=595131}
\zmath{https://zbmath.org/?q=an:0471.60067|0454.60058}
\transl
\jour Theory Probab. Appl.
\yr 1981
\vol 25
\issue 4
\pages 659--666
\crossref{https://doi.org/10.1137/1125083}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1980MK50200001}
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  • https://www.mathnet.ru/eng/tvp/v25/i4/p675
  • This publication is cited in the following 2 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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