We propose a weak Galerkin(WG) finite element method for solving the one-dimensional Burgers' equation. Based on a new weak variational form, both semi-discrete and fullydiscrete WG finite element schemes are established and analyzed. We prove the existence of the discrete solution and derive the optimal order error estimates in the discrete H 1norm and L 2 -norm, respectively. Numerical experiments are presented to illustrate our theoretical analysis.
Keywords: weak Galerkin finite element method; Burgers' equation; optimal error estimates.where I = (0, 1), J = (0, T ] with T < ∞, u is the unknown velocity, ν = 1 Re , Re is the Reynolds number and g(x) is a given function.Burgers' equation (1a) has been widely used for various applications, such as modeling of gas dynamics and turbulence [1], describing wave propagation in acoustics and
a b s t r a c tA covolume method is proposed for the mixed formulation of second-order elliptic problems. The solution domain is divided by a quadrilateral grid, corresponding to which a nonoverlapping dual grid is constructed. The velocity and pressure are approximated by the lowest-order Raviart-Thomas space on quadrilaterals. We prove its first order optimal rate of convergence for the approximate velocities in the H(div)-norm as well as for the approximate pressures in the L 2 -norm. A second order error estimate between a suitable projection of the exact velocity (or pressure) and the approximate velocity (or approximate pressure) is also presented. Numerical experiments are provided to illustrate the error behavior of the scheme.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.