NANAApr 16, 2019

Multilevel Monte Carlo theta EM scheme for SDDEs with small noise

arXiv:1904.07500
AI Analysis

This work provides a numerical method for a specific class of stochastic differential equations, but the contribution is incremental as it extends existing multilevel Monte Carlo techniques to a new setting.

The paper develops a multilevel Monte Carlo theta EM scheme for stochastic differential delay equations with small noise, deriving variance estimates under Lipschitz and one-sided Lipschitz conditions.

In this paper, a multilevel Monte Carlo theta EM scheme is provided for stochastic differential delay equations with small noise. Under a global Lipschitz condition, the variance of two coupled paths is derived. Then, the global Lipschitz condition is replaced by one-sided Lipschitz condition, in order to guarantee the moment finiteness of numerical scheme, a modified multilevel Monte Carlo theta EM scheme is put forward and the second moment of two coupled paths is estimated.

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