On the approximation of the solutions of stochastic equations with θ-integrals
Nikolay Viktorovich Lazakovich, Aleh L. Yablonski
Abstract
Nikolay Viktorovich Lazakovich, Aleh L. Yablonski
Abstract
The paper investigates the problem of approximation of stochastic θ-integrals and the solutions of stochastic differential equations. The complete classification of the methods of approximation of stochastic θ-integrals in the convolution algebra is proposed. It is proved that the solutions of stochastic integral equations with θ-integral can be approximated by the solutions of finite-difference equations with averaging.
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The paper investigates the problem of approximation of stochastic θ-integrals and the solutions of stochastic differential equations. The complete classification of the methods of approximation of stochastic θ-integrals in the convolution algebra is proposed. It is proved that the solutions of stochastic integral equations with θ-integral can be approximated by the solutions of finite-difference equations with averaging.
Key concepts: Mathematics, Stratonovich integral, Stochastic differential equation, Stochastic integral, Convolution (computer science), Mathematical analysis, Stochastic calculus, Integral equation