Discrete Poisson equation
From CFD-Wiki
In mathematics, the discrete Poisson equation is the finite difference analog of the Poisson equation. In it, the discrete Laplace operator takes the place of the Laplace operator. The discrete Poisson equation is frequently used in numerical analysis as a stand-in for the continuous Poisson equation, although it is also studied in its own right as a topic in discrete mathematics.
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On a two-dimensional rectangular grid
Using the finite difference numerical method to discretize the 2 dimensional Poisson equation (assuming a uniform spatial discretization) on an m x n grid gives the following formula:
where and
. The preferred arrangement of the
solution vector is to use natural ordering which, prior to removing boundary elements, would look like:
This will result in an mn x mn linear system:
where
is the m x m identity matrix, and
, also m x m , is given by:
[1]
For each equation, the columns of
correspond to the
components:
while the columns of to the left and right of
correspond to the
components:
and
respectively.
From the above, it can be inferred that there are block columns of
in
. It is important to note that prescribed values of
(usually lying on the boundary) would have their corresponding elements removed from
and
. For the common case that all the nodes on the boundary are set, we have
and
, and the system would have the dimensions (m - 2) (n - 2) x (m - 2) (n - 2) , where
and
would have dimensions (m-2) x (m-2) .
Example
For a 5 x 5 ( and
) grid with all the boundary nodes prescribed,
the system would look like:
with
and
As can be seen, the boundary 's are brought to the right-hand-side
of the equation. [2] The entire system is 9 x 9
while
and
are 3 x 3 and given by:
and
Methods of Solution
Because is block tridiagonal and sparse, many methods of solution
have been developed to optimally solve this linear system for
.
Among the methods are a generalized Thomas algorithm,
cyclic reduction, successive overrelaxation, and Fourier transforms. A theoretically optimal
solution can be computed using multigrid methods.
Applications
In Computational fluid dynamics, for the solution of an incompressible flow problem, the incompressiblity condition acts as a constraint for the pressure. There is no explicit form available for pressure in this case due to a strong coupling of the velocity and pressure fields. In this condition, by taking the divergence of all terms in the momentum equation, one obtains the pressure poisson equation. For an incompressible "Flow" this constraint is given by:
where is the velocity in the
direction,
is
velocity in
and
is the velocity in the
direction. Taking divergence of the momentum equation and using the incompressibility constraint, the pressure poisson equation is formed given by:
where is the kinematic viscosity of the fluid and
is the velocity vector.
[3].
Footnotes
- ↑ Golub, Gene H. and C.F. Van Loan, Matrix Computations, 3rd Ed., The Johns Hopkins University Press, Baltimore, 1996, pages 177-180.
- ↑ Cheny, Ward and David Kincaid, Numerical Mathematics and Computing 2nd Ed., Brooks/Cole Publishing Company, Pacific Grove, 1985, pages 443-448
- ↑ Fletcher, Clive A. J., Computational Techniques for Fluid Dynamics: Vol I, 2nd Ed., Springer-Verlag, Berlin, 1991, page 334-339.
References
- Cheny, Ward and David Kincaid, Numerical Mathematics and Computing 2nd Ed., Brooks/Cole Publishing Company, Pacific Grove, 1985.
- Golub, Gene H. and C.F. Van Loan, Matrix Computations, 3rd Ed., The Johns Hopkins University Press, Baltimore, 1996.
- Hoffman, Joe D., Numerical Methods for Engineers and Scientists, 4th Ed., McGraw-Hill Inc., New York, 1992.
- Sweet, Roland A., SIAM Journal on Numerical Analysis, Vol. 11, No. 3 , June 1974, 506-520.