An Efficient Constant-Coefficient MSAV Scheme for Computing Vesicle Growth and Shrinkage

TL;DR

This paper introduces a fast, energy-stable numerical scheme for vesicle deformation simulation that significantly reduces computational costs by using constant-coefficient problems and fast transforms, enabling large-scale studies.

Contribution

The paper develops a novel constant-coefficient MSAV scheme that simplifies computations and accelerates vesicle simulation without losing accuracy or stability.

Findings

Achieves second-order accuracy in time and space.

Mass conservation with errors below 5 x 10^-11.

6-15x speedup over classical MSAV methods.

Abstract

We present a fast, unconditionally energy-stable numerical scheme for simulating vesicle deformation under osmotic pressure using a phase-field approach. The model couples an Allen-Cahn equation for the biomembrane interface with a variable-mobility Cahn-Hilliard equation governing mass exchange across the membrane. Classical approaches, including nonlinear multigrid and Multiple Scalar Auxiliary Variable (MSAV) methods, require iterative solution of variable-coefficient systems at each time step, resulting in substantial computational cost. We introduce a constant-coefficient MSAV (CC-MSAV) scheme that incorporates stabilization directly into the Cahn-Hilliard evolution equation rather than the chemical potential. This reformulation yields fully decoupled constant-coefficient elliptic problems solvable via fast discrete cosine transform (DCT), eliminating iterative solvers entirely. The method achieves O(N^2 log N) complexity per time step while preserving unconditional energy stability and discrete mass conservation. Numerical experiments verify second-order temporal and spatial accuracy, mass conservation to relative errors below 5 x 10^-11, and close agreement with nonlinear multigrid benchmarks. On grids with N >= 2048, CC-MSAV achieves 6-15x overall speedup compared to classical MSAV with optimized preconditioning, while the dominant Cahn-Hilliard subsystem is accelerated by up to two orders of magnitude. These efficiency gains, achieved without sacrificing accuracy, make CC-MSAV particularly well suited for large-scale simulations of vesicle dynamics.