NANASep 26, 2017

Discretization error estimates for penalty formulations of a linearized Canham-Helfrich type energy

arXiv:1703.066885 citationsh-index: 3
Originality Synthesis-oriented
AI Analysis

Provides rigorous error analysis for a numerical method relevant to biomembrane-particle interaction modeling, but the contribution is incremental as it extends known techniques to a specific problem.

The paper proves optimal discretization error estimates for penalty formulations of a linearized Canham-Helfrich energy with Dirichlet boundary conditions, using Bogner-Fox-Schmit finite elements. The method avoids resolving the particle boundary, enabling efficient handling of moving particles.

This paper is concerned with minimization of a fourth-order linearized Canham-Helfrich energy subject to Dirichlet boundary conditions on curves inside the domain. Such problems arise in the modeling of the mechanical interaction of biomembranes with embedded particles. There, the curve conditions result from the imposed particle--membrane coupling. We prove almost-$H^{\frac{5}{2}}$ regularity of the solution and then consider two possible penalty formulations. For the combination of these penalty formulations with a Bogner-Fox-Schmit finite element discretization we prove discretization error estimates which are optimal in view of the solution's reduced regularity. The error estimates are based on a general estimate for linear penalty problems in Hilbert spaces. Finally, we illustrate the theoretical results by numerical computations. An important feature of the presented discretization is that it does not require to resolve the particle boundary. This is crucial in order to avoid re-meshing if the presented problem arises as subproblem in a model where particles are allowed to move or rotate.

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