activity
20152025
most citedOn stochastic differential equations with arbitrary slow convergence rates for strong approximation

30 citations · 46 across the 12 of their papers we have counts for

collaborators

15 papers

math.PR2025

Sharp lower error bounds for strong approximation of SDEs with a drift coefficient of Hölder or Sobolev regularity using a Weierstraß scale

Simon Ellinger, Thomas Müller-Gronbach, Larisa Yaroslavtseva

We study strong approximation of solutions of SDEs with bounded -Hölder continuous drift coefficient and constant diffusion coefficient at time point . Recently, it was shown…

math.NA2025

On the performance of the Euler-Maruyama scheme for multidimensional SDEs with discontinuous drift coefficient

Thomas Müller-Gronbach, Christopher Rauhögger, Larisa Yaroslavtseva

We study strong approximation of -dimensional stochastic differential equations (SDEs) with a discontinuous drift coefficient. More precisely, we essentially assume that the dri…

math.PR2024

On optimal error rates for strong approximation of SDEs with a drift coefficient of fractional Sobolev regularity

Simon Ellinger, Thomas Müller-Gronbach, Larisa Yaroslavtseva

We study strong approximation of scalar additive noise driven stochastic differential equations (SDEs) at time point in the case that the drift coefficient is bounded and has S…

math.PR2024

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

T. Müller-Gronbach, L. Yaroslavtseva

We survey recent developments in the field of complexity of pathwise approximation in -th mean of the solution of a stochastic differential equation at the final time based on f…

math.PR2022

Existence, uniqueness and approximation of solutions of SDEs with superlinear coefficients in the presence of discontinuities of the drift coefficient

Thomas Müller-Gronbach, Sotirios Sabanis, Larisa Yaroslavtseva

Existence, uniqueness, and -approximation results are presented for scalar stochastic differential equations (SDEs) by considering the case where, the drift coefficient has fi…

math.PR2021

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

Larisa Yaroslavtseva

In recent years, an intensive study of strong approximation of stochastic differential equations (SDEs) with a drift coefficient that may have discontinuities in space has begun. I…

math.PR2020★ 3 cited

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

Thomas Müller-Gronbach, Larisa Yaroslavtseva

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…

math.PR2020★ 1 cited

Counterexamples to local Lipschitz and local Hölder continuity with respect to the initial values for additive noise driven SDEs with smooth drift coefficient functions with at most polynomially growing derivatives

Arnulf Jentzen, Benno Kuckuck, Thomas Müller-Gronbach +1

In the recent article [A. Jentzen, B. Kuckuck, T. Müller-Gronbach, and L. Yaroslavtseva, arXiv:1904.05963 (2019)] it has been proved that the solutions to every additive noise driv…

math.PR2019★ 3 cited

A strong order method for SDEs with discontinuous drift coefficient

Thomas Müller-Gronbach, Larisa Yaroslavtseva

In this paper we study strong approximation of the solution of a scalar stochastic differential equation (SDE) at the final time in the case when the drift coefficient may have dis…

math.PR2019★ 4 cited

On the strong regularity of degenerate additive noise driven stochastic differential equations with respect to their initial values

Arnulf Jentzen, Benno Kuckuck, Thomas Müller-Gronbach +1

Recently in [M. Hairer, M. Hutzenthaler, and A. Jentzen, Ann. Probab. 43, 2 (2015), 468--527] and [A. Jentzen, T. Müller-Gronbach, and L. Yaroslavtseva, Commun. Math. Sci. 14, 6 (2…

math.NA2018★ 3 cited

On the performance of the Euler-Maruyama scheme for SDEs with discontinuous drift coefficient

Thomas Müller-Gronbach, Larisa Yaroslavtseva

Recently a lot of effort has been invested to analyze the -error of the Euler-Maruyama scheme in the case of stochastic differential equations (SDEs) with a drift coefficient…

math.PR2017

A note on strong approximation of SDEs with smooth coefficients that have at most linearly growing derivatives

Thomas Müller-Gronbach, Larisa Yaroslavtseva

Recently, it has been shown in [Jentzen, A., Müller-Gronbach, T., and Yaroslavtseva, L., Commun. Math. Sci., 14, 2016] that there exists a system of autonomous stochastic different…

math.PR2016

On non-polynomial lower error bounds for adaptive strong approximation of SDEs

Larisa Yaroslavtseva

Recently, it has been shown in [Hairer, M., Hutzenthaler, M., Jentzen, A., Loss of regularity for Kolmogorov equations, Ann. Probab. 43, 2 (2015), 468--527] that there exists a sys…

math.NA2016★ 2 cited

On hard quadrature problems for marginal distributions of SDEs with bounded smooth coefficients

Thomas Müller-Gronbach, Larisa Yaroslavtseva

In recent work of Hairer, Hutzenthaler and Jentzen, see [9], a stochastic differential equation (SDE) with infinitely often differentiable and bounded coefficients was constructed…

math.NA2015★ 30 cited

On stochastic differential equations with arbitrary slow convergence rates for strong approximation

Arnulf Jentzen, Thomas Müller-Gronbach, Larisa Yaroslavtseva

In the recent article [Hairer, M., Hutzenthaler, M., Jentzen, A., Loss of regularity for Kolmogorov equations, Ann. Probab. 43 (2015), no. 2, 468--527] it has been shown that there…