Unconditionally energy stable fully discrete schemes for a chemo-repulsion model
This work provides numerical methods for simulating chemotaxis models, which are important in biological pattern formation, but the contribution is incremental as it extends existing energy-stable techniques to a specific model.
The paper develops three fully discrete finite element schemes for a chemo-repulsion model that are unconditionally energy stable and mass-conservative. Numerical simulations demonstrate the schemes' stability and accuracy.
This work is devoted to study unconditionally energy stable and mass-conservative numerical schemes for the following repulsive-productive chemotaxis model: Find $u \geq 0$, the cell density, and $v \geq 0$, the chemical concentration, such that $$ \left\{ \begin{array} [c]{lll} \partial_t u - Δu - \nabla\cdot (u\nabla v)=0 \ \ \mbox{in}\ Ω,\ t>0,\\ \partial_t v - Δv + v = u \ \ \mbox{in}\ Ω,\ t>0, \end{array} \right. $$ in a bounded domain $Ω\subseteq \mathbb{R}^d$, $d=2,3$. By using a regularization technique, we propose three fully discrete Finite Element (FE) approximations. The first one is a nonlinear approximation in the variables $(u,v)$; the second one is another nonlinear approximation obtained by introducing ${\boldsymbolσ}=\nabla v$ as an auxiliary variable; and the third one is a linear approximation constructed by mixing the regularization procedure with the energy quadratization technique, in which other auxiliary variables are introduced. In addition, we study the well-posedness of the numerical schemes, proving unconditional existence of solution, but conditional uniqueness (for the nonlinear schemes). Finally, we compare the behavior of such schemes throughout several numerical simulations and provide some conclusions.