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Stig Larsson
    Research Interests:
    Abstract. The Cahn-Hilliard equation is discretized by a Galerkin fi-nite element method based on continuous piecewise linear functions in space and discontinuous piecewise constant functions in time. A posteri-ori error estimates are... more
    Abstract. The Cahn-Hilliard equation is discretized by a Galerkin fi-nite element method based on continuous piecewise linear functions in space and discontinuous piecewise constant functions in time. A posteri-ori error estimates are proved by using the methodology of dual ...
    Research Interests:
    ... The number of answers to this question rose from 33 in 2003 to 43 in 2004. ... Albertsson, Claes Johnson, Kenneth Eriksson, Niklas Ericsson, Nils Svanstedt, Mohammad Asadzadeh, Fredrik Bengzon, Christoffer Cromvik, Anders Logg, Karin... more
    ... The number of answers to this question rose from 33 in 2003 to 43 in 2004. ... Albertsson, Claes Johnson, Kenneth Eriksson, Niklas Ericsson, Nils Svanstedt, Mohammad Asadzadeh, Fredrik Bengzon, Christoffer Cromvik, Anders Logg, Karin Kraft, Georgios Foufas, Axel MaÊlqvist ...
    Research Interests:
    Research Interests:
    Texts in Applied Mathematics 1. Sirovich: Introduction to Applied Mathematics. 2. Wiggins: Introduction to Applied Nonlinear Dynamical Systems and Chaos. 3. Hale/Koçak: Dynamics and Bifurcations. 4. Chorin/Marsden: A Mathematical... more
    Texts in Applied Mathematics 1. Sirovich: Introduction to Applied Mathematics. 2. Wiggins: Introduction to Applied Nonlinear Dynamical Systems and Chaos. 3. Hale/Koçak: Dynamics and Bifurcations. 4. Chorin/Marsden: A Mathematical Introduction to Fluid Mechanics, Third ...
    ... AND S. LARSSON Step 1. Set h (x) = exp( jxj=)=jxj for x 2 R2; >0 and note that (4.3) Tg(x) = ZZ 2 0 exp( jx yj=cost) jx yj dt g(y)dy = Z 2 0 hcost ( g)](x)dt; where is the characteristic function of the set R2 and denotes... more
    ... AND S. LARSSON Step 1. Set h (x) = exp( jxj=)=jxj for x 2 R2; >0 and note that (4.3) Tg(x) = ZZ 2 0 exp( jx yj=cost) jx yj dt g(y)dy = Z 2 0 hcost ( g)](x)dt; where is the characteristic function of the set R2 and denotes convolution in R2. The functions Tg(x) and h (x) are de ned for all ...
    Research Interests:
    Research Interests:
    ABSTRACT Semidiscrete nite element approximation of the linear stochas- tic wave equation with additive noise is studied in a semigroup framework. Optimal error estimates for the deterministic problem are obtained under minimal regularity... more
    ABSTRACT Semidiscrete nite element approximation of the linear stochas- tic wave equation with additive noise is studied in a semigroup framework. Optimal error estimates for the deterministic problem are obtained under minimal regularity assumptions. These are used to prove strong convergence estimates for the stochastic problem. The theory presented here applies to multi-dimensional domains and spatially correlated noise. Numerical exam- ples illustrate the theory.
    Abstract. We consider time-continuous spatially discrete approximations by the Galerkin finite element method of initial-boundary value problems for semilinear parabolic equations with nonsmooth or incompatible initial data. We find that... more
    Abstract. We consider time-continuous spatially discrete approximations by the Galerkin finite element method of initial-boundary value problems for semilinear parabolic equations with nonsmooth or incompatible initial data. We find that the numerical solution enjoys a ...

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