An operator approach for Markov chain weak approximations with an application to infinite activity L\'evy driven SDEs
Abstract
Weak approximations have been developed to calculate the expectation value of functionals of stochastic differential equations, and various numerical discretization schemes (Euler, Milshtein) have been studied by many authors. We present a general framework based on semigroup expansions for the construction of higher-order discretization schemes and analyze its rate of convergence. We also apply it to approximate general L\'evy driven stochastic differential equations.
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