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<p>Linear stationary reaction-convection-diffusion equations with Dirichlet boundary conditions are approximated using a simple finite difference method corresponding to central differences and the addition of a high-order stabilization term called a numerical moment. The focus is on convection-dominated equations, and the formulation for the method is motivated by various results for fully nonlinear problems. The method features higher-order local truncation errors than monotone methods consistent with the use of the central difference approximation for the gradient. Stability and rates of convergence are derived in the <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\ell ^2\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mi>ℓ</mi> <mn>2</mn> </msup> </math></EquationSource> </InlineEquation> norm for the constant-coefficient case. Numerical tests are provided to compare the new methods to monotone methods. The methods are also tested for stationary Hamilton-Jacobi equations where they demonstrate higher rates of convergence than the Lax-Friedrich’s method when the underlying viscosity solution is smooth and comparable performance when the underlying viscosity solution is not smooth.</p>

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Numerical Moment Stabilization of Central Difference Approximations for Linear Stationary Reaction-Convection-Diffusion Equations

  • 期刊论文

  • 发表日期：

    2026年5月19日

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  • Thomas Lewis,
  • Xiaohuan Xue

摘要

Linear stationary reaction-convection-diffusion equations with Dirichlet boundary conditions are approximated using a simple finite difference method corresponding to central differences and the addition of a high-order stabilization term called a numerical moment. The focus is on convection-dominated equations, and the formulation for the method is motivated by various results for fully nonlinear problems. The method features higher-order local truncation errors than monotone methods consistent with the use of the central difference approximation for the gradient. Stability and rates of convergence are derived in the \(\ell ^2\) ℓ 2 norm for the constant-coefficient case. Numerical tests are provided to compare the new methods to monotone methods. The methods are also tested for stationary Hamilton-Jacobi equations where they demonstrate higher rates of convergence than the Lax-Friedrich’s method when the underlying viscosity solution is smooth and comparable performance when the underlying viscosity solution is not smooth.