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20102026
most citedWeak convergence for a spatial approximation of the nonlinear stochastic heat equation

89 citations · 914 across the 31 of their papers we have counts for

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18 papers · 1 filter

math.NA2026

Weighted Laplace Spaces for Spectral Measures and Rational Approximation

Stefan Jakobsson, Alice Kozakevicius, Stig Larsson

We introduce the weighted Laplace space , an RKHS of Laplace transforms on , and study spectral measures in its dual space . For conforming FEM discretizatio…

math.NA2026★ 62 cited

Finite Element Approximation of the Cahn-Hilliard-Cook equation

Ali Mesforush, Stig Larsson, Mihály Kovács

We study the nonlinear stochastic Cahn-Hilliard equation per- turbed by additive colored noise. We show almost sure existence and regularity of solutions. We introduce spatial appr…

math.NA2026★ 34 cited

Finite element approximation of the linearized Cahn-Hilliard-Cook equation

Ali Mesforush, Stig Larsson

The linearized Cahn-Hilliard-Cook equation is discretized in the spatial variables by a standard finite element method. Strong convergence estimates are proved under suitable assum…

math.NA2026

Parametric elliptic reconstructions and a posteriori error estimates for parabolic partial differential equations with small randomness in a Robin boundary condition

Nakidi Shravani, Gujji Murali Mohan Reddy, Amiya Kumar Pani +1

We obtain reliable a posteriori residual-based error estimates for parabolic partial differential equations with small randomness in a Robin-type boundary condition. The uncertaint…

math.NA2019★ 1 cited

Error estimates of the backward Euler-Maruyama method for multi-valued stochastic differential equations

Monika Eisenmann, Mihály Kovács, Raphael Kruse +1

In this paper, we derive error estimates of the backward Euler-Maruyama method applied to multi-valued stochastic differential equations. An important example of such an equation i…

math.NA2018★ 50 cited

Analytical solution for heat conduction due to a moving Gaussian heat flux with piecewise constant parameters

Robert Forslund, Anders Snis, Stig Larsson

We provide an analytical solution of the heat equation in the half-space subject to a moving Gaussian heat flux with piecewise constant parameters. The solution is of interest in p…

math.NA2018★ 21 cited

Mittag-Leffler Euler integrator for a stochastic fractional order equation with additive noise

Mihály Kovács, Stig Larsson, Fardin Saedpanah

Motivated by fractional derivative models in viscoelasticity, a class of semilinear stochastic Volterra integro-differential equations, and their deterministic counterparts, are co…

math.NA2017★ 22 cited

On a randomized backward Euler method for nonlinear evolution equations with time-irregular coefficients

Monika Eisenmann, Mihály Kovács, Raphael Kruse +1

In this paper we introduce a randomized version of the backward Euler method, that is applicable to stiff ordinary differential equations and nonlinear evolution equations with tim…

math.NA2016★ 42 cited

Strong convergence of a fully discrete finite element approximation of the stochastic Cahn-Hilliard equation

Daisuke Furihata, Mihály Kovács, Stig Larsson +1

We consider the stochastic Cahn-Hilliard equation driven by additive Gaussian noise in a convex domain with polygonal boundary in dimension . We discretize the equation usi…

math.NA2015★ 56 cited

On the discretisation in time of the stochastic Allen-Cahn equation

Mihály Kovács, Stig Larsson, Fredrik Lindgren

We consider the stochastic Allen--Cahn equation perturbed by smooth additive Gaussian noise in a spatial domain with smooth boundary in dimension , and study the semidiscre…

math.NA2015★ 9 cited

Full discretisation of semi-linear stochastic wave equations driven by multiplicative noise

Rikard Anton, David Cohen, Stig Larsson +1

A fully discrete approximation of the semi-linear stochastic wave equation driven by multiplicative noise is presented. A standard linear finite element approximation is used in sp…

math.NA2015★ 7 cited

Compressive Space-Time Galerkin Discretizations of Parabolic Partial Differential Equations

Stig Larsson, Christoph Schwab

We study linear parabolic initial-value problems in a space-time variational formulation based on fractional calculus. This formulation uses "time derivatives of order one half" on…

math.NA2014★ 30 cited

Weak error analysis for semilinear stochastic Volterra equations with additive noise

Adam Andersson, Mihály Kovács, Stig Larsson

We prove a weak error estimate for the approximation in space and time of a semilinear stochastic Volterra integro-differential equation driven by additive space-time Gaussian nois…

math.NA2014★ 73 cited

Discontinuous Galerkin method for an integro-differential equation modeling dynamic fractional order viscoelasticity

Stig Larsson, Milena Racheva, Fardin Saedpanah

An integro-differential equation, modeling dynamic fractional order viscoelasticity, with a Mittag-Leffler type convolution kernel is considered. A discontinuous Galerkin method, b…

math.NA2013★ 54 cited

On the backward Euler approximation of the stochastic Allen-Cahn equation

Mihály Kovács, Stig Larsson, Fredrik Lindgren

We consider the stochastic Allen-Cahn equation perturbed by smooth additive Gaussian noise in a spatial domain with smooth boundary in dimension , and study the semidiscret…

math.NA2012★ 89 cited

Weak convergence for a spatial approximation of the nonlinear stochastic heat equation

Adam Andersson, Stig Larsson

We find the weak rate of convergence of the spatially semidiscrete finite element approximation of the nonlinear stochastic heat equation. Both multiplicative and additive noise is…

math.NA2012★ 63 cited

A trigonometric method for the linear stochastic wave equation

D. Cohen, S. Larsson, M. Sigg

A fully discrete approximation of the linear stochastic wave equation driven by additive noise is presented. A standard finite element method is used for the spatial discretisation…

math.NA2012★ 49 cited

Weak convergence of finite element approximations of linear stochastic evolution equations with additive noise II. Fully discrete schemes

M. Kovács, S. Larsson, F. Lindgren

We present an abstract framework for analyzing the weak error of fully discrete approximation schemes for linear evolution equations driven by additive Gaussian noise. First, an ab…