Positivity-preserving scalar auxiliary variable schemes for gradient flows via a quadratic reformulation
Qiong-Ao Huang, Zhi-Hao Liu, Ying-Wei Wang, Li-Na Yan
Abstract
The scalar auxiliary variable (SAV) method replaces the nonlinear part of the free energy by a positive scalar r(t)=E_N[ϕ]+C>0, thereby yielding linear, unconditionally energy-stable schemes for gradient flows. At the discrete level, however, the standard backward Euler and Crank--Nicolson discretizations provide no guarantee that the computed rn+1 remains positive, an inconsistency with the continuous definition that contradicts the square-root ansatz and may compromise long-time robustness. Although the SAV method has been widely applied, this subtle but consequential issue has received little attention. We first characterize this failure quantitatively by deriving a sharp criterion and a sufficient condition on the time step size, and construct an explicit counterexample showing that sign loss occurs for parameters of practical relevance. Rather than modifying the definition of r as in existing positivity-preserving variants, we retain the square-root form and reformulate the discrete evolution from rt to (r2)t, which converts the scalar equation into a convex quadratic with a strictly negative constant term, always yielding a unique positive root. For the Crank--Nicolson scheme, the product-form discretization rn+1rn preserves this quadratic structure, while conventional alternatives do not. The resulting schemes incur the same computational cost as the original SAV method and are proved unconditionally energy-stable. Numerical experiments for the Cahn--Hilliard equation confirm the predicted positivity, energy stability, and convergence rates.
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