Special Session 134: 

The SAV approach for gradient flows: error analysis and applications

Jie Shen
Purdue University and Xiamen University
USA
Co-Author(s):    
Abstract:
Recently, a new technique, the single auxiliary variable (SAV) approach, is proposed to deal with nonlinear terms in a large class of gradient flows. The technique is not restricted to specific forms of the nonlinear part of the free energy, it leads to linear and unconditionally energy stable second-order (or higher-order with weak stability conditions) schemes which only require solving decoupled linear equations with constant coefficients. Hence, these schemes are extremely efficient as well as accurate. We present a convergence and error analysis of the SAV approach ,and apply the SAV approach to deal with several challenging applications which can not be easily handled by existing approaches, and present convincing numerical results to show that the new schemes are not only much more efficient and easy to implement, but also can better capture the physical properties in these models.