Asymmetry and condition number of an elliptic-parabolic system for biological network formation

01/30/2023
by   Clarissa Astuto, et al.
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We present results of numerical simulations of the tensor-valued elliptic-parabolic PDE model for biological network formation. The numerical method is based on a non-linear finite difference scheme on a uniform Cartesian grid in a 2D domain. The focus is on the impact of different discretization methods and choices of regularization parameters on the symmetry of the numerical solution. In particular, we show that using the symmetric alternating-direction implicit (ADI) method for time discretization helps preserve the symmetry of the solution, compared to the (nonsymmetric) ADI method. Moreover, we study the effect of regularization by isotropic background permeability r>0, showing that increased condition number of the elliptic problem due to decreasing value of r leads to loss of symmetry. Finally, we perform numerical error analysis of our method in Wasserstein distance.

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