Analytic and Gevrey class regularity for parametric semilinear reaction-diffusion problems and applications in uncertainty quantification

• Published in: Computers & mathematics with applications (1987) Vol. 164; pp. 116 - 130
• Main Authors: Chernov, Alexey, Lê, Tùng
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.06.2024
• Subjects: Numerical integration; Parametric regularity analysis; Quasi-Monte Carlo methods; Reaction-diffusion; Semilinear problems; Parametric regularity analysis; Numerical integration; Quasi-Monte Carlo methods; Semilinear problems; Reaction-diffusion
• ISSN: 0898-1221; 1873-7668
• DOI: 10.1016/j.camwa.2024.04.007

We investigate a class of parametric elliptic semilinear partial differential equations of second order with homogeneous essential boundary conditions, where the coefficients and the right-hand side (and hence the solution) may depend on a parameter. This model can be seen as a reaction-diffusion problem with a polynomial nonlinearity in the reaction term. The efficiency of various numerical approximations across the entire parameter space is closely related to the regularity of the solution with respect to the parameter. We show that if the coefficients and the right-hand side are analytic or Gevrey class regular with respect to the parameter, the same type of parametric regularity is valid for the solution. The key ingredient of the proof is the combination of the alternative-to-factorial technique from our previous work [1] with a novel argument for the treatment of the power-type nonlinearity in the reaction term. As an application of this abstract result, we obtain rigorous convergence estimates for numerical integration of semilinear reaction-diffusion problems with random coefficients using Gaussian and Quasi-Monte Carlo quadrature. Our theoretical findings are confirmed in numerical experiments.