Logo image
Optimal convergence analysis of fully discrete SAVs-FEM for the Cahn-Hilliard-Navier-Stokes equations
Preprint

Optimal convergence analysis of fully discrete SAVs-FEM for the Cahn-Hilliard-Navier-Stokes equations

Haijun Gao, Xi Li, Cheng Wang and Minfu Feng
02/21/2025

Abstract

Computer Science - Numerical Analysis Mathematics - Numerical Analysis
We construct a fully discrete numerical scheme that is linear, decoupled, and unconditionally energy stable, and analyze its optimal error estimates for the Cahn-Hilliard-Navier-Stokes equations. For time discretization, we employ the two scalar auxiliary variables (SAVs) and the pressure-correction projection method. For spatial discretization, we choose thePᵣ × Pᵣ × 𝐏ᵣ₊₁ × Pᵣfinite element spaces, whereris the degree of the local polynomials, and derive the optimalL²error estimates for the phase-field variable, chemical potential, and pressure in the case ofr ≥ 1 , and for the velocity whenr ≥ 2 , without relying on the quasi-projection operator technique proposed in [Cai et al. SIAM J Numer Anal, 2023]. Numerical experiments validate the theoretical results, confirming the unconditional energy stability and optimal convergence rates of the proposed scheme. Additionally, we numerically demonstrate the optimalL²convergence rate for the velocity whenr=1 .
url
https://doi.org/10.48550/arxiv.2502.15234View
Open

Metrics

1 Record Views

Details

Logo image