Finite difference for 2nd order PDE

In summary, the given PDE can be solved using finite difference methods, such as the method of lines or the finite element method, by using the given initial condition to generate the initial values for the solution.
  • #1
juricab
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I need to solve the following PDE:
[tex]\frac{1}{2}F_{\eta \eta }\sigma _{\eta }^{2}\eta ^{2}+\frac{1}{2}F_{pp}\sigma _{p}^{2}+F_{p}k(m-p)+F_{\eta }a\eta -rF=0 \label{6}[/tex] where p goes from minus to plus infinity and eta goes from zero to plus infinity.

Here p and eta are state variables and all other variables are constants. I only have initial condition that F(p.0)=F(p), and I can calculate F(p). I am trying to solve this equation using finite difference with no luck. I am wondering if this can be solved at all using finite difference?
 
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  • #2
Any help would be much appreciated. The PDE in \eqref{6} is a partial differential equation (PDE). It can be solved using finite difference methods, such as the method of lines or the finite element method. The initial condition given in the problem can be used to generate the initial values for the solution of the PDE. Once these initial values are known, the finite difference method can be used to solve the PDE.
 

FAQ: Finite difference for 2nd order PDE

1. What is a finite difference method?

A finite difference method is a numerical technique used to solve partial differential equations (PDEs) by approximating the derivatives in the equations with finite differences. It involves dividing the continuous domain into a discrete grid and solving the equations at each grid point.

2. How does the finite difference method work for 2nd order PDEs?

The finite difference method for 2nd order PDEs involves approximating the second-order derivatives in the equation with central differences, and then solving a system of linear equations using the values at each grid point. This process is repeated for each time step until a solution is obtained.

3. What are the advantages of using finite difference methods for 2nd order PDEs?

Some advantages of using finite difference methods for 2nd order PDEs include their ease of implementation, ability to handle complex geometries, and high accuracy for simple problems. They are also computationally efficient and can be applied to a wide range of PDEs.

4. What types of boundary conditions can be incorporated in finite difference methods for 2nd order PDEs?

Finite difference methods for 2nd order PDEs can incorporate various types of boundary conditions, such as Dirichlet, Neumann, and mixed boundary conditions. These are specified at the boundaries of the grid and are used to determine the values at the boundary grid points.

5. How can I ensure the stability of a finite difference method for 2nd order PDEs?

To ensure the stability of a finite difference method for 2nd order PDEs, the grid spacing must be small enough and the time step size must be properly chosen. Additionally, the discretization scheme used for approximating the derivatives must also be stable. It is important to perform stability analysis and choose appropriate parameters to avoid numerical instabilities in the solution.

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