Convergence of solutions of one-dimensional stochastic equations (Q2711138)

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Convergence of solutions of one-dimensional stochastic equations
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    2 May 2001
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    stochastic equations
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    limit theorems
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    necessary conditions of convergence
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    sufficient conditions of convergence
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    Convergence of solutions of one-dimensional stochastic equations (English)
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    The author considers one-dimensional stochastic equations NEWLINE\[NEWLINE\xi_\varepsilon(t)=x+\int_0^t [b_\varepsilon(\xi_\varepsilon(s))+g_\varepsilon(\xi_\varepsilon(s))] ds+ \int_0^t\sigma_\varepsilon(\xi_\varepsilon(s)) dw(s),NEWLINE\]NEWLINE the coefficients of which depend on a small parameter \(\varepsilon\) in an irregular way. Necessary and sufficient conditions are obtained for the weak convergence of \(\xi_\varepsilon(t)\) to \(\xi(t)\) which is a solution of the stochastic equation NEWLINE\[NEWLINE\xi(t)=x+\int_0^t B(\xi(s)) ds+\int_0^t\sigma(\xi(s)) dw(s). NEWLINE\]NEWLINE Four examples are considered.
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