Book contents
- Frontmatter
- Dedication
- Contents
- List of Figures
- Foreword
- Preface
- 1 Partial Differential Equations
- 2 Equations of Fluid Motion
- 3 Finite Difference Method
- 4 Consistency and Stability Analysis
- 5 Oscillation and Decay Equations
- 6 Linear Advection Equation
- 7 Numerical Solution of Elliptic Partial Differential Equations
- 8 Shallow Water Equations
- 9 Numerical Methods for Solving Shallow Water Equations
- 10 Numerical Methods for Solving Barotropic Equations
- 11 Numerical Methods for Solving Baroclinic Equations
- 12 Boundary Conditions
- 13 Lagrangian and Semi-Lagrangian Schemes
- 14 Spectral Methods
- 15 Finite Volume and Finite Element Methods
- 16 Ocean Models
- Appendix: Tridiagonal Matrix Algorithm
- Bibliography
- Index
7 - Numerical Solution of Elliptic Partial Differential Equations
Published online by Cambridge University Press: 22 February 2022
- Frontmatter
- Dedication
- Contents
- List of Figures
- Foreword
- Preface
- 1 Partial Differential Equations
- 2 Equations of Fluid Motion
- 3 Finite Difference Method
- 4 Consistency and Stability Analysis
- 5 Oscillation and Decay Equations
- 6 Linear Advection Equation
- 7 Numerical Solution of Elliptic Partial Differential Equations
- 8 Shallow Water Equations
- 9 Numerical Methods for Solving Shallow Water Equations
- 10 Numerical Methods for Solving Barotropic Equations
- 11 Numerical Methods for Solving Baroclinic Equations
- 12 Boundary Conditions
- 13 Lagrangian and Semi-Lagrangian Schemes
- 14 Spectral Methods
- 15 Finite Volume and Finite Element Methods
- 16 Ocean Models
- Appendix: Tridiagonal Matrix Algorithm
- Bibliography
- Index
Summary
Introduction
Elliptic partial differential equations are equations that have second derivatives in space but no time derivatives. The most important examples of elliptic PDEs are the Laplace equation, Poisson equation and Helmholtz equation. In two dimensions, the Laplace equation, Poisson equation, and Helmholtz equation are expressed as follows:
If the region of interest is a ≤ x ≤ b, and c ≤ y ≤ d, then assuming that one can discretize the region of interest into M subdivisions in x direction and N subdivisions in y direction, the grid size in the x and y directions are defined as Δx = (b-a)/M and Δy = (d - c)/N. Considering the Poisson equation and replacing the derivatives with central differences
The boundary conditions on all the four sides are supposed to be known as shown:
where ga, gb, gc, and gd are known prescribed functions. The finite difference scheme is schematically shown in Figure 7.1 where the solution at the grid (I,j), ui, j is related to the solution at the four neighboring grid points (i+1.j), (i-1,j), (i,j+1), and (i,j-1).
Commonly occurring elliptic problems
Elliptic problems that manifest as elliptic PDEs, arise naturally in steady-state problems, i.e., in problems that are essentially concerned with states of equilibrium. That is, they arise in problems in which time t does not appear as an independent variable and, hence, where the initial values are not relevant. Hence, typical elliptic problems are essentially boundary value problems in which the boundary data are prescribed on given closed boundary curves (or surfaces/hypersurfaces for equations with more than two independent variables). The three most commonly occurring boundary conditions are (i) the Dirichlet problem, in which an elliptic PDE such as the Laplace equation, Equation (7.1), is solved with u being prescribed as a function of position along the whole boundary of the domain, (ii) the Neumann problem , in which an elliptic PDE such as the Laplace equation, Equation (7.1), is solved with being prescribed as a function of position along the whole boundary of the domain, where denotes the normal derivative along the boundary, and (iii) the Robin problem, in which an elliptic PDE such as the Laplace equation, Equation (7.1), is solved with prescribed along the whole boundary of the domain.
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- Numerical Methods for Atmospheric and Oceanic Sciences , pp. 184 - 216Publisher: Cambridge University PressPrint publication year: 2022