The N.n. Bogolyubov Method of Averaging for Stochastic Differential Equations

The N.n. Bogolyubov Method of Averaging for Stochastic Differential Equations
Author: V. M. Kuzma
Publisher:
Total Pages: 7
Release: 1969
Genre:
ISBN:


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The author formulates a theorem substantiating the use of the averaging method to determine to a first approximation the mathematical expectations for the solution of equations in a standard form with right-hand parts represented by random functions of time. The statement and proof of the theorem are analogous to those of the theorem of N.N. Bogolyubov which estimates the error of a first approximation derived with the aid of asymptotic methods for a finite interval of time. (Author).


The N.n. Bogolyubov Method of Averaging for Stochastic Differential Equations
Language: en
Pages: 7
Authors: V. M. Kuzma
Categories:
Type: BOOK - Published: 1969 - Publisher:

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The author formulates a theorem substantiating the use of the averaging method to determine to a first approximation the mathematical expectations for the solut
Scientific and Technical Aerospace Reports
Language: en
Pages: 964
Authors:
Categories: Aeronautics
Type: BOOK - Published: 1988 - Publisher:

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Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the N
U.S. Government Research & Development Reports
Language: en
Pages: 224
Authors:
Categories: Science
Type: BOOK - Published: 1970 - Publisher:

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Statistics and Control of Random Processes
Language: en
Pages: 260
Authors: A. A. Novikov
Categories: Mathematics
Type: BOOK - Published: 1994 - Publisher: American Mathematical Soc.

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This book contains papers by participants in two seminars, one on martingales and statistics of stochastic processes, and one on sequential analysis, both of wh
Asymptotic Methods in the Theory of Stochastic Differential Equations
Language: en
Pages: 362
Authors: A. V. Skorokhod
Categories: Mathematics
Type: BOOK - Published: 2009-01-07 - Publisher: American Mathematical Soc.

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Ergodic theorems: General ergodic theorems Densities for transition probabilities and resolvents for Markov solutions of stochastic differential equations Ergod