Sharp lower error bounds for strong approximation of SDEs with discontinuous drift coefficient by coupling of noise

T Müller-Gronbach, L Yaroslavtseva - The Annals of Applied …, 2023 - projecteuclid.org
In the past decade, an intensive study of strong approximation of stochastic differential
equations (SDEs) with a drift coefficient that has discontinuities in space has begun. In the …

[HTML][HTML] A higher-order approximation method for jump-diffusion SDEs with a discontinuous drift coefficient

P Przybyłowicz, V Schwarz, M Szölgyenyi - Journal of Mathematical …, 2024 - Elsevier
We present the first higher-order approximation scheme for solutions of jump-diffusion
stochastic differential equations with discontinuous drift. For this transformation-based jump …

An adaptive strong order 1 method for SDEs with discontinuous drift coefficient

L Yaroslavtseva - Journal of Mathematical Analysis and Applications, 2022 - Elsevier
In recent years, a number of results has been proven in the literature for strong
approximation of stochastic differential equations (SDEs) with a drift coefficient that may …

Efficient approximation of SDEs driven by countably dimensional Wiener process and Poisson random measure

P Przybyłowicz, M Sobieraj, Ł Stȩpień - SIAM Journal on Numerical Analysis, 2022 - SIAM
In this paper we deal with pointwise approximation of solutions of stochastic differential
equations (SDEs) driven by an infinite dimensional Wiener process, with additional jumps …

[HTML][HTML] Randomized Milstein algorithm for approximation of solutions of jump–diffusion SDEs

P Przybyłowicz, V Schwarz, M Szölgyenyi - Journal of Computational and …, 2024 - Elsevier
We investigate the error of the randomized Milstein algorithm for solving scalar jump–
diffusion stochastic differential equations. We provide a complete error analysis under …

Numerical Solutions of Stochastic Differential Equations with Jumps and Measurable Drifts

M Siddiqui, M Eddahbi, O Kebiri - Mathematics, 2023 - mdpi.com
This paper deals with numerical analysis of solutions to stochastic differential equations with
jumps (SDEJs) with measurable drifts that may have quadratic growth. The main tool used is …

[HTML][HTML] On the complexity of strong approximation of stochastic differential equations with a non-Lipschitz drift coefficient

T Müller-Gronbach, L Yaroslavtseva - Journal of Complexity, 2024 - Elsevier
We survey recent developments in the field of complexity of pathwise approximation in p-th
mean of the solution of a stochastic differential equation at the final time based on finitely …

Sharp lower error bounds for strong approximation of SDEs with piecewise Lipschitz continuous drift coefficient

S Ellinger - Journal of Complexity, 2024 - Elsevier
We study pathwise approximation of strong solutions of scalar stochastic differential
equations (SDEs) at a single time in the presence of discontinuities of the drift coefficient …

Convergence of the tamed-Euler–Maruyama method for SDEs with discontinuous and polynomially growing drift

K Spendier, M Szölgyenyi - International Conference on Monte Carlo and …, 2022 - Springer
Numerical methods for SDEs with irregular coefficients are intensively studied in the
literature, with different types of irregularities usually being attacked separately. In this paper …

Lower error bounds and optimality of approximation for jump-diffusion SDEs with discontinuous drift

P Przybyłowicz, V Schwarz, M Szölgyenyi - BIT Numerical Mathematics, 2024 - Springer
In this paper sharp lower error bounds for numerical methods for jump-diffusion stochastic
differential equations (SDEs) with discontinuous drift are proven. The approximation of jump …