A Uniform Convergent Petrov-Galerkin method for a Class of Turning Point Problems

08/08/2022
by   Li Feng, et al.
0

In this paper, we propose a numerical method for turning point problems in one dimension based on Petrov-Galerkin finite element method (PGFEM). We first give a priori estimate for the turning point problem with a single boundary turning point. Then we use PGFEM to solve it, where test functions are the solutions to piecewise approximate dual problems. We prove that our method has a first-order convergence rate in both L^∞ norm and an energy norm when we select the exact solutions to dual problems as test functions. Numerical results show that our scheme is efficient for turning point problems with different types of singularities, and the convergency coincides with our theoretical results.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/03/2019

Optimal quadratic element on rectangular grids for H^1 problems

In this paper, a piecewise quadratic finite element method on rectangula...
research
09/11/2023

A Locking-Free Weak Galerkin Finite Element Method for Linear Elasticity Problems

In this paper, we introduce and analyze a lowest-order locking-free weak...
research
09/05/2021

Variational Physics Informed Neural Networks: the role of quadratures and test functions

In this work we analyze how Gaussian or Newton-Cotes quadrature rules of...
research
08/12/2023

Convergence analysis of a spectral-Galerkin-type search extension method for finding multiple solutions to semilinear problems

In this paper, we develop an efficient spectral-Galerkin-type search ext...
research
12/24/2022

An L^p-primal-dual finite element method for first-order transport problems

A new L^p-primal-dual weak Galerkin method (L^p-PDWG) with p>1 is propos...
research
08/23/2019

The Convergence Rate of MsFEM for Various Boundary Problems

In this paper, we give a detailed analysis of the effectiveness of class...
research
08/06/2023

Randomized Neural Networks with Petrov-Galerkin Methods for Solving Linear Elasticity Problems

We develop the Randomized Neural Networks with Petrov-Galerkin Methods (...

Please sign up or login with your details

Forgot password? Click here to reset