Mittag--Leffler Euler Integrator for a Stochastic Fractional Order Equation with Additive Noise
Mihály Kovács, Stig Larsson, Fardin Saedpanah
Abstract
Motivated by fractional derivative models in viscoelasticity, a class of semilinear stochastic Volterra integro-differential equations, and their deterministic counterparts, are considered. A generalized exponential Euler method, named here the Mittag--Leffler Euler integrator, is used for the temporal discretization, while the spatial discretization is performed by the spectral Galerkin method. The temporal rate of strong convergence is found to be (almost) twice compared to when the backward Euler method is used together with a convolution quadrature for time discretization. Numerical experiments that validate the theory are presented.
Topics & Concepts
MathematicsDiscretizationBackward Euler methodEuler's formulaQuadrature (astronomy)Euler methodApplied mathematicsExponential functionMathematical analysisEuler summationRate of convergenceSemi-implicit Euler methodConvolution (computer science)IntegratorTemporal discretizationFractional calculusConvergence (economics)Galerkin methodNoise (video)Order (exchange)Euler equationsDerivative (finance)Time derivativeNumerical analysisVolterra integral equationFractional Brownian motionWeak convergenceFractional Differential Equations SolutionsStochastic processes and financial applicationsNonlinear Differential Equations Analysis