Numerical integration of stochastic differential equations /

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Bibliographic Details
Author / Creator:Milʹshteĭn, G. N. (Grigoriĭ Noĭkhovich).
Uniform title:Chislennoe integrirovanie stokhasticheskikh different͡sialʹnykh uravneniĭ. English
Imprint:Dordrecht ; Boston : Kluwer Academic Publishers, c1995.
Description:vii, 169 p. ; 25 cm.
Language:English
Series:Mathematics and its applications ; v. 313
Mathematics and its applications (Kluwer Academic Publishers) ; v. 313.
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Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/1763573
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ISBN:079233213X (acid-free paper)
Notes:Includes bibliographical references (p. 165-168) and index.
Description
Summary:U sing stochastic differential equations we can successfully model systems that func- tion in the presence of random perturbations. Such systems are among the basic objects of modern control theory. However, the very importance acquired by stochas- tic differential equations lies, to a large extent, in the strong connections they have with the equations of mathematical physics. It is well known that problems in math- ematical physics involve 'damned dimensions', of ten leading to severe difficulties in solving boundary value problems. A way out is provided by stochastic equations, the solutions of which of ten come about as characteristics. In its simplest form, the method of characteristics is as follows. Consider a system of n ordinary differential equations dX = a(X) dt. (O.l ) Let Xx(t) be the solution of this system satisfying the initial condition Xx(O) = x. For an arbitrary continuously differentiable function u(x) we then have: (0.2) u(Xx(t)) - u(x) = j (a(Xx(t)), (Xx(t))) dt.
Physical Description:vii, 169 p. ; 25 cm.
Bibliography:Includes bibliographical references (p. 165-168) and index.
ISBN:079233213X