4,077 research outputs found
Approximation of mild solutions of the linear and nonlinear elliptic equations
In this paper, we investigate the Cauchy problem for both linear and
semi-linear elliptic equations. In general, the equations have the form
where is a positive-definite, self-adjoint operator with
compact inverse. As we know, these problems are well-known to be ill-posed. On
account of the orthonormal eigenbasis and the corresponding eigenvalues related
to the operator, the method of separation of variables is used to show the
solution in series representation. Thereby, we propose a modified method and
show error estimations in many accepted cases. For illustration, two numerical
examples, a modified Helmholtz equation and an elliptic sine-Gordon equation,
are constructed to demonstrate the feasibility and efficiency of the proposed
method.Comment: 29 pages, 16 figures, July 201
Energy-corrected FEM and explicit time-stepping for parabolic problems
The presence of corners in the computational domain, in general, reduces the
regularity of solutions of parabolic problems and diminishes the convergence
properties of the finite element approximation introducing a so-called
"pollution effect". Standard remedies based on mesh refinement around the
singular corner result in very restrictive stability requirements on the
time-step size when explicit time integration is applied. In this article, we
introduce and analyse the energy-corrected finite element method for parabolic
problems, which works on quasi-uniform meshes, and, based on it, create fast
explicit time discretisation. We illustrate these results with extensive
numerical investigations not only confirming the theoretical results but also
showing the flexibility of the method, which can be applied in the presence of
multiple singular corners and a three-dimensional setting. We also propose a
fast explicit time-stepping scheme based on a piecewise cubic energy-corrected
discretisation in space completed with mass-lumping techniques and numerically
verify its efficiency
Numerical analysis for the pure Neumann control problem using the gradient discretisation method
The article discusses the gradient discretisation method (GDM) for
distributed optimal control problems governed by diffusion equation with pure
Neumann boundary condition. Using the GDM framework enables to develop an
analysis that directly applies to a wide range of numerical schemes, from
conforming and non-conforming finite elements, to mixed finite elements, to
finite volumes and mimetic finite differences methods. Optimal order error
estimates for state, adjoint and control variables for low order schemes are
derived under standard regularity assumptions. A novel projection relation
between the optimal control and the adjoint variable allows the proof of a
super-convergence result for post-processed control. Numerical experiments
performed using a modified active set strategy algorithm for conforming,
nonconforming and mimetic finite difference methods confirm the theoretical
rates of convergence
Skyrmion States In Chiral Liquid Crystals
Within the framework of Oseen-Frank theory, we analyse the static
configurations for chiral liquid crystals. In particular, we find numerical
solutions for localised axisymmetric states in confined chiral liquid crystals
with weak homeotropic anchoring at the boundaries. These solutions describe the
distortions of two-dimensional skyrmions, known as either \textit{spherulites}
or \textit{cholesteric bubbles}, which have been observed experimentally in
these systems. Relations with nonlinear integrable equations have been outlined
and are used to study asymptotic behaviors of the solutions. By using
analytical methods, we build approximated solutions of the equilibrium
equations and we analyse the generation and stabilization of these states in
relation to the material parameters, the external fields and the anchoring
boundary conditions.Comment: 13 pages, 13 figures, Conference: PMNP 2017: 50 years of IST,
Gallipoli (LE)- Italy June 17-24, 201
Superconvergence for Neumann boundary control problems governed by semilinear elliptic equations
This paper is concerned with the discretization error analysis of semilinear
Neumann boundary control problems in polygonal domains with pointwise
inequality constraints on the control. The approximations of the control are
piecewise constant functions. The state and adjoint state are discretized by
piecewise linear finite elements. In a postprocessing step approximations of
locally optimal controls of the continuous optimal control problem are
constructed by the projection of the respective discrete adjoint state.
Although the quality of the approximations is in general affected by corner
singularities a convergence order of is proven for domains
with interior angles smaller than using quasi-uniform meshes. For
larger interior angles mesh grading techniques are used to get the same order
of convergence
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