activity
20152019
most citedApproximation of SDEs -- a stochastic sewing approach

35 citations · 41 across the 2 of their papers we have counts for

collaborators

5 papers

math.PR2019★ 35 cited

Approximation of SDEs -- a stochastic sewing approach

Oleg Butkovsky, Konstantinos Dareiotis, Máté Gerencsér

We give a new take on the error analysis of approximations of stochastic differential equations (SDEs), utilizing and developing the stochastic sewing lemma of Lê (2020). This appr…

math.PR2017★ 6 cited

Boundary regularity of stochastic PDEs

Máté Gerencsér

The boundary behaviour of solutions of stochastic PDEs with Dirichlet boundary conditions can be surprisingly - and in a sense, arbitrarily - bad: as shown by Krylov, for any …

math.PR2017

Singular SPDEs in domains with boundaries

Máté Gerencsér, Martin Hairer

We study spaces of modelled distributions with singular behaviour near the boundary of a domain that, in the context of the theory of regularity structures, allow one to give robus…

math.NA2017

On stochastic differential equations with arbitrarily slow convergence rates for strong approximation in two space dimensions

Máté Gerencsér, Arnulf Jentzen, Diyora Salimova

In the recent article [Jentzen, A., Müller-Gronbach, T., and Yaroslavtseva, L., Commun. Math. Sci., 14(6), 1477--1500, 2016] it has been established that for every arbitrarily slow…

math.NA2015

Localization errors in solving stochastic partial differential equations in the whole space

Máté Gerencsér, István Gyöngy

Cauchy problems with SPDEs on the whole space are localized to Cauchy problems on a ball of radius . This localization reduces various kinds of spatial approximation schemes to…