- Research
- Open access
- Published:

# The numerical solution of partial differential-algebraic equations

*Advances in Difference Equations*
**volume 2013**, Article number: 8 (2013)

## Abstract

In this paper, a numerical solution of partial differential-algebraic equations (PDAEs) is considered by multivariate Padé approximations. We applied this method to an example. First, PDAE has been converted to power series by two-dimensional differential transformation, and then the numerical solution of the equation was put into a multivariate Padé series form. Thus, we obtained the numerical solution of PDAEs.

## 1 Introduction

In this study, we consider linear partial differential-algebraic equations (PDAEs) of the form

where t\in (0,{t}_{e}) and x\in (-l,l)\subset R, A,B,C\in {R}^{n,xn} are constant matrices, u,f:[0,{t}_{e}]\times [-l,l]\to {R}^{n}. We are interested in cases where at least one of the matrices, *A* or *B*, is singular. The two special cases A=0 or B=0 lead to ordinary differential equations or DAEs which are not considered here. Therefore, in this paper we assume that none of the matrices *A* or *B* is the zero matrix [1–3]. Many important mathematical models can be expressed in terms of PDAEs. Such models arise in many areas of mathematics, engineering, the physical sciences and population growth. In recent years, much research has been focused on the numerical solution of PDAEs [4, 5]. Some numerical methods have been developed using Runge-Kutta methods [6, 7]. The purpose of this paper is to consider the numerical solution of PDAEs by using multivariate Padé approximations.

## 2 Two-dimensional differential transformation

The basic definition of the two-dimensional differential transform is given as follows [8–13]:

where w(x,y) is the original function and W(k,h) is the transformed function. The transformation is called *T*-function and lower case and upper case letters represent the original and transformed functions respectively. The differential inverse transform of W(k,h) is defined as

and from Equations (2) and (3) can be concluded

## 3 Multivariate Padé approximants

Consider the bivariate function f(x,y) with Taylor series development

around the origin. We know that a solution of the univariate Padé approximation problem for

is given by

and

Let us now multiply the *j* th row in p(x) and q(x) by {x}^{j+m-1} (j=2,\dots ,n+1) and afterwards divide the *j* th column in p(x) and q(x) by {x}^{j-1} (j=2,\dots ,n+1). This results in a multiplication of numerator and denominator by {x}^{mn}. Having done so, we get

if (D=det{D}_{m,n}\ne 0).

This quotient of determinants can also immediately be written down for a bivariate function f(x,y). The sum {\sum}_{i=0}^{k}{c}_{i}{x}^{i} will be replaced by the *k* th partial sum of the Taylor series development of f(x,y) and the expression {c}_{k}{x}^{k} by an expression that contains all the terms of degree *k* in f(x,y). Here a bivariate term {c}_{ij}{x}^{i}{y}^{j} is said to be of degree i+j.

If we define

and

then it is easy to see that p(x,y) and q(x,y) are of the form

We know that p(x,y) and q(x,y) are called Padé equations [3, 14]. So, the multivariate Padé approximant of order (m,n) for f(x,y) is defined as

## 4 Numerical example

The test problem considers the following PDAE [6]:

where

The exact solution is

Equivalently, Equation (14) can be written as

By using the basic definition of the two-dimensional differential transform and taking the transform of Equation (16), we can obtain that

Consequently, by substituting the values of {u}_{i}, we have obtained

The power series {u}_{1}(x,t), {u}_{2}(x,t) and {u}_{3}(x,t) can be transformed into multivariate Padé approximation

## 5 Conclusions

The method for solving partial differential-algebraic equations (PDAEs) has been proposed. The results of the example showed from Tables 1-3 and Figures 1-6 that exactly the same solutions have been obtained with multivariate Padé approximation. On the other hand, the results are quite reliable. Therefore, this method can be applied to many complicated PDAEs.

## References

Lucht, W, Strehmel, K, Liebenow, CE: Linear partial differential-algebraic equations, part I. Reports of the Institute of Numerical Mathematics, Report No. 17 (1997)

Lucht, W, Strehmel, K, Liebenow, CE: Linear partial differential-algebraic equations, part II. Reports of the Institute of Numerical Mathematics, Report No. 18 (1997)

Cuyt A, Wuytack L:

*Nonlinear Methods in Numerical Analysis*. North-Holland, Amsterdam; 1987.Turut V, Guzel N: Comparing numerical methods for solving time-fractional reaction-diffusion equations.

*ISRN Math. Anal.*2012. doi:10.5402/2012/737206Kurulay M, Bayram M: Approximate analytical solution for the fractional modified KdV by differential transform method.

*Commun. Nonlinear Sci. Numer. Simul.*2010, 15: 1777–1782. 10.1016/j.cnsns.2009.07.014Strehmel K, Debrabant K: Convergence of Runge-Kutta methods applied to linear partial differential-algebraic equations.

*Appl. Numer. Math.*2005, 53: 213–229. 10.1016/j.apnum.2004.08.023Turut, V, Guzel, N: On solving partial differential equations of fractional order by using the variational iteration method and multivariate Padé approximation, EJPAM (2010, accepted)

Yiğider M, Çelik E: The numerical solution of partial differential-algebraic equations (PDAEs) by multivariate Padé approximation.

*Eur. J. Pure Appl. Math.*2011, 4: 67–75.Zhou JK:

*Differential Transform and Its Applications for Electrical Circuits*. Huarjung University Press, Wuhan; 1986.Ayaz F: On the two-dimensional differential transform method.

*Appl. Math. Comput.*2003, 143: 361–374. 10.1016/S0096-3003(02)00368-5Ayaz F: Solutions of the system of differential equations by differential transform method.

*Appl. Math. Comput.*2004, 147: 547–567. 10.1016/S0096-3003(02)00794-4Bildik N, Konuralp A: Two-dimensional differential transform method, Adomian’s decomposition method and variational iteration method for partial differential equations.

*Int. J. Comput. Math.*2006, 83(12):973–987. 10.1080/00207160601173407Adomian G: Convergent series solution of nonlinear equations.

*J. Comput. Appl. Math.*1984, 11: 225–230. 10.1016/0377-0427(84)90022-0Celik E, Karaduman E, Bayram M: Numerical solutions of chemical differential-algebraic equations.

*Appl. Math. Comput.*2003, 139(2–3):259–264. 10.1016/S0096-3003(02)00178-9

## Acknowledgements

The authors thank the referees for valuable comments and suggestions which improved the presentation of this manuscript. This study was supported by The Scientific Research Projects of Atatürk University.

## Author information

### Authors and Affiliations

### Corresponding author

## Additional information

### Competing interests

The authors declare that they have no competing interests.

### Authors’ contributions

All authors carried out the proof and conceived of the study. All authors read and approved the final manuscript.

## Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

## Rights and permissions

**Open Access** This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

## About this article

### Cite this article

Yigider, M., Çelik, E. The numerical solution of partial differential-algebraic equations.
*Adv Differ Equ* **2013**, 8 (2013). https://doi.org/10.1186/1687-1847-2013-8

Received:

Accepted:

Published:

DOI: https://doi.org/10.1186/1687-1847-2013-8