A fundamental mean-square convergence theorem for SDEs with locally Lipschitz coefficients and its applications
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🧮 math.NA
math.PR
keywords
theoremcoefficientsconvergencefundamentallipschitzmean-squaremethodsnumerical
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A version of the fundamental mean-square convergence theorem is proved for stochastic differential equations (SDE) which coefficients are allowed to grow polynomially at infinity and which satisfy a one-sided Lipschitz condition. The theorem is illustrated on a number of particular numerical methods, including a special balanced scheme and fully implicit methods. Some numerical tests are presented.
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