A C^1-conforming Petrov-Galerkin method for convection-diffusion equations and superconvergence ananlysis over rectangular meshes

03/13/2021
by   Waixiang Cao, et al.
0

In this paper, a new C^1-conforming Petrov-Galerkin method for convection-diffusion equations is designed and analyzed. The trail space of the proposed method is a C^1-conforming ℚ_k (i.e., tensor product of polynomials of degree at most k) finite element space while the test space is taken as the L^2 (discontinuous) piecewise ℚ_k-2 polynomial space. Existence and uniqueness of the numerical solution is proved and optimal error estimates in all L^2, H^1, H^2-norms are established. In addition, superconvergence properties of the new method are investigated and superconvergence points/lines are identified at mesh nodes (with order 2k-2 for both function value and derivatives), at roots of a special Jacobi polynomial, and at the Lobatto lines and Gauss lines with rigorous theoretical analysis. In order to reduce the global regularity requirement, interior a priori error estimates in the L^2, H^1, H^2-norms are derived. Numerical experiments are presented to confirm theoretical findings.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro