2012
DOI: 10.1007/s00245-012-9176-y
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Milstein Approximation for Advection-Diffusion Equations Driven by Multiplicative Noncontinuous Martingale Noises

Abstract: In this paper, the strong approximation of a stochastic partial differential equation, whose differential operator is of advection-diffusion type and which is driven by a multiplicative, infinite dimensional, càdlàg, square integrable martingale, is presented. A finite dimensional projection of the infinite dimensional equation, for example a Galerkin projection, with nonequidistant time stepping is used. Error estimates for the discretized equation are derived in L 2 and almost sure senses. Besides space and … Show more

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Cited by 37 publications
(92 citation statements)
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“…With these choices of η and σ, all conditions of the randomized Galerkin finite element method (52) with truncated noise are satisfied. In particular, we expect a temporal order as high as 1 2 + min( r 2 , γ) ≈ 1 − ǫ by Theorem 6.4. For the simulation displayed in Figure 1 we chose the parameter values a = 0.9, b = 7, and J = 5 for η J in (64).…”
Section: Application To Stochastic Partial Differential Equationsmentioning
confidence: 73%
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“…With these choices of η and σ, all conditions of the randomized Galerkin finite element method (52) with truncated noise are satisfied. In particular, we expect a temporal order as high as 1 2 + min( r 2 , γ) ≈ 1 − ǫ by Theorem 6.4. For the simulation displayed in Figure 1 we chose the parameter values a = 0.9, b = 7, and J = 5 for η J in (64).…”
Section: Application To Stochastic Partial Differential Equationsmentioning
confidence: 73%
“…In this section we collect all essential conditions on the stochastic evolution equation (1). Then the main result is stated.…”
Section: Assumptions and Main Resultsmentioning
confidence: 99%
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“…Under suitable regularity, for equations of type (1.4), mean-square convergence of order 1/2 is shown for an Euler semi-discretisation in [Lan10] for square-integrable (not necessarily continuous), infinitedimensional martingale drivers. In contrast, [BL13] allow only for continuous martingales but prove convergence of higher order in space and up to 1 in time, in L p and almost surely, for a Milstein scheme and spatial Galerkin approximation of sufficiently high order; this is extended to advection-diffusion equations with possibly discontinuous martingales in [BL12].…”
Section: Introductionmentioning
confidence: 99%
“…For more details on the simulation of Milstein terms, the reader is referred to Refs [1,2,4]. However, the order of convergence as stated in Theorems 2.3 and 2.4 remains the same because therein Equation (M) was used which already included the mixed terms missing in Equation (10).…”
mentioning
confidence: 99%