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20112026
most citedNumerical approximation of the Stochastic Cahn-Hilliard Equation near the Sharp Interface Limit

16 citations · 54 across the 17 of their papers we have counts for

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18 papers

math.NA2026

A Higher Order Discretization for the Stochastic Navier--Stokes equations with additive Noise

L. Banas, D. Breit, A. Chaudhary +1

We propose a new higher-order time discretization scheme for the stochastic Navier--Stokes equations with additive noise, where its velocity and pressure approximates converge at s…

math.PR2023

Improved estimates for the sharp interface limit of the stochastic Cahn-Hilliard equation with space-time white noise

Ľubomír Baňas, Jean Daniel Mukam

We study the sharp interface limit of the stochastic Cahn-Hilliard equation with cubic double-well potential and additive space-time white noise where is an inte…

math.NA2022★ 1 cited

Correction to: Convergent numerical approximation of the stochastic total variation flow

Ľubomír Baňas, Michael Röckner, André Wilke

We correct two errors in our paper [4]. First error concerns the definition of the SVI solution, where a boundary term which arises due to the Dirichlet boundary condition, was not…

math.NA2022

Convergent numerical approximation of the stochastic total variation flow with linear multiplicative noise: the higher dimensional case

Ľubomír Baňas, Michael Röckner, André Wilke

We consider fully discrete finite element approximation of the stochastic total variation flow equation (STVF) with linear multiplicative noise which was previously proposed in \ci…

math.NA2022

Numerical approximation of probabilistically weak and strong solutions of the stochastic total variation flow

Ľubomír Baňas, Martin Ondreját

We propose a fully practical numerical scheme for the simulation of the stochastic total variation flow (STFV). The approximation is based on a stable time-implicit finite element…

math.NA2022

Robust a posteriori estimates for the stochastic Cahn-Hilliard equation

Ľubomír Baňas, Christian Vieth

We derive a posteriori error estimates for a fully discrete finite element approximation of the stochastic Cahn-Hilliard equation. The a posteriori bound is obtained by a splitting…

math.NA2021★ 3 cited

A posteriori estimates for the stochastic total variation flow

Ľubomír Baňas, André Wilke

We derive a posteriori error estimates for a fully discrete time-implicit finite element approximation of the stochastic total variaton flow (STVF) with additive space time noise.…

math.PR2021★ 1 cited

Stochastic partial differential equations arising in self-organized criticality

Ľubomír Baňas, Benjamin Gess, Marius Neuß

We study scaling limits of the weakly driven Zhang and the Bak-Tang-Wiesenfeld (BTW) model for self-organized criticality. We show that the weakly driven Zhang model converges to a…

math.NA2020★ 1 cited

Numerical approximation of singular-degenerate parabolic stochastic PDEs

Ľubomír Baňas, Benjamin Gess, Christian Vieth

We study a general class of singular degenerate parabolic stochastic partial differential equations (SPDEs) which include, in particular, the stochastic porous medium equations and…

math.NA2020

Numerical Analysis for Nematic Electrolytes

Ľubomír Baňas, Robert Lasarzik, Andreas Prohl

We consider a system of nonlinear PDEs modeling nematic electrolytes, and construct a dissipative solution with the help of its implementable, structure-inheriting space-time discr…

math.NA2019★ 4 cited

Numerical approximation of the value of a stochastic differential game with asymmetric information

Ľubomír Baňas, Giorgio Ferrari, Tsiry A. Randrianasolo

We consider a convexity constrained Hamilton-Jacobi-Bellman-type obstacle problem for the value function of a zero-sum differential game with asymmetric information. We propose a c…

math.NA2019★ 4 cited

Convergent numerical approximation of the stochastic total variation flow

Ľubomír Baňas, Michael Röckner, André Wilke

We study the stochastic total variation flow (STVF) equation with linear multiplicative noise. By considering a limit of a sequence of regularized stochastic gradient flows with re…

math.NA2019★ 16 cited

Numerical approximation of the Stochastic Cahn-Hilliard Equation near the Sharp Interface Limit

Dimitra Antonopoulou, Lubomir Banas, Robert Nürnberg +1

We consider the stochastic Cahn-Hilliard equation with additive noise term () that scales with the interfacial width parameter . We ver…

math.PR2019

Sharp interface limit of stochastic Cahn-Hilliard equation with singular noise

Lubomir Banas, Huanyu Yang and, Rongchan Zhu

We study the the sharp interface limit of -dependent two dimensional stochastic Cahn-Hilliard equation driven by space-time white noise and conservative noise as $\var…

math.PR2014

Ergodicity for a stochastic geodesic equation in the tangent bundle of the 2D sphere

L'ubomír Banas, Zdzisław Brzeźniak, Misha Neklyudov +2

We study ergodic properties of stochastic geometric wave equations on a particular model with the target being the 2D sphere while considering the space variable-independent soluti…

math.NA2013★ 16 cited

On the Landau-Lifshitz-Gilbert equation with magnetostriction

L'ubomir Banas, Marcus Page, Dirk Praetorius +1

To describe and simulate dynamic micromagnetic phenomena, we consider a coupled system of the nonlinear Landau-Lifshitz-Gilbert equation and the conservation of momentum equation.…

math.NA2013★ 8 cited

A convergent linear finite element scheme for the Maxwell-Landau-Lifshitz-Gilbert equation

L'ubomir Banas, Marcus Page, Dirk Praetorius

We consider a lowest-order finite element discretization of the nonlinear system of Maxwell's and Landau-Lifshitz-Gilbert equations (MLLG). Two algorithms are proposed to numerical…

math.PR2011

Attractivity, invariance and ergodicity for SDEs on Riemannian manifolds

Lubomir Banas, Zdzislaw Brzezniak, Martin Ondrejat +1

We give a sufficient condition on nonlinearities of an SDE on a compact connected Riemannian manifold which implies that laws of all solutions converge weakly to the normalized…