Exact Solution for a Class of Stiff Systems by Differential Transform Method ()
1. Introduction
Consider the stiff initial value problem [1]:
(1)
on the finite interval
, where
and
are continuous.
The initial value problem of stiff differential equations occurs in almost every field of science [1-5], particularly, in the fields of:
1) Chemical Reactions: A famous chemical reaction is the Oregenator reaction between HBrO2, Br−, and Ce (IV) described by Field and Noyes in 1984.
2) Reaction-diffusion systems: Problems in which the diffusion is modeled via the Laplace operator may become stiff as they are discretized in space by finite differences or finite elements. Well-known example of such systems which appear so often in mathematical biology.
Several further occurrences of stiffness can be found in electrical circuits, mechanics, meteorology, oceanography and vibrations.
Definition 1: If the solution of the system contains components which change at significantly different rates for given changes in the independent variable, then system is said to be stiff [2,3].
Stiff differential equations are characterized as those whose exact solution has a term of the form
, where
is a large positive constant. The key features of stiff equations are that the derivative terms may increase rapidly as t increases [1].
In the last three decades numerous works have been focusing on the development of more advanced and efficient methods for stiff problems [1,2]. The situation becomes more complicated when stiffness coupled with nonlinearity. Carroll presents an exponential fitted scheme for solving stiff systems of initial value problems [3]. The numerical solution of linear and nonlinear system of stiff system can be found in [4-6].
Differential Transform Method (DTM) is a semi numerical method which gives series solution. But sometimes the series solution can be easily converted into closed form solution. This Method was first introduced by Zhou [7] who solved linear and non-linear problems in electrical circuit problems. After that the method become very popular to solved different kind of problems. The year wise detail of such problems is as follows.
In [8], two dimensional DTM is used to solve partial differential equations (PDEs). In [9], one dimensional DTM is applied to solve linear and nonlinear initial value problems. In [10], one and two dimensional DTM has been applied to solve eigenvalue problems and PDEs. In [11], two dimensional DTM is applied to solve initial value problems for PDEs. In [12], DTM is used to solve parameters identification problems. In [13], DTM was applied to transient advective-dispersive transport equation. In [14] used one dimensional DTM to solve differential-algebraic equations. In [15], three dimensional DTM is used to solve linear and nonlinear PDEs. In [16], generalized DTM is used to solve PDEs. In [17,18], DTM is used to solve boundary value problems for integro-differential equations. In [19], different approximate methods has been used for initial value problems. In [20], two dimensional DTM is utilized to solve linear and nonlinear PDEs. In [21], DTM is used to solve free vibrations equations of beam on elastic soil. In [22], DTM is applied to solve difference equations. In [23], DTM is applied to solve differential-difference equations. In [24, 25], Generalized DTM is used to solve multi order fractional differential equations and linear PDEs of fractional order respectively. In [26], DTM is used to solve fourth order boundary value problem. In [27], two dimensional DTM is used to solve non-linear oscillatory system. In [28], Idrees et al. has applied DTM for the exact solution of Goursat Problems, in [29] the authors have utilized an efficient method for stiff system, whilst in [30] the authors presented the numerical solution of the stiff system.
In this paper, we solve the linear and non-linear stiff system via DTM. In Section 2, we give some basic properties of one-dimensional DTM. In Section 3, we have applied the method to linear and non-linear stiff systems.
2. One-Dimensional Differential Transform
In this section, we first give some basic properties of one-dimensional differential transform method. Differential transform of a function
is defined as follows:
, (2)
where
is the original function and
is the transformed function for
. The differential inverse transform of
is defined as
. (3)
From Equations (2) and (3) we get
, (4)
which implies that the concept of DTM is derived from Taylor series expansion, but the method does not evaluate the derivative symbolically. However, relative derivatives are calculated by an iterative procedure which is described by the transformed equations of the original functions.
In this work, we use the lower case letters to represent the original functions and upper case letters to represent the transformed functions. In actual applications, the function
is expressed by a finite series Equation (5) can be written as
. (5)
Here
is represented the convergence of natural frequency.
From Equations (2) and (3) we obtain Table 1 of the fundamental operations of one-dimensional differential transform method is given by.
3. Application to Stiff System
In this section, we apply DTM to both linear and nonlinear stiff systems.
Problem 1: Consider the linear stiff system:
, (6)
, (7)
with initial value
, 
This system has eigen values of large modulus lying closed to the imaginary axis
.
By applying Differential Transformation, we have
, (8)
. (9)
The initial conditions of Differential Transformation are given by:
.
For
, the series coefficients for
and
can be obtained as
Table 1. The fundamental operations of one-dimensional DTM.



We used MATHEMATICA to calculate the unknown coefficients
and
.
Using the inverse Transform, we get
, (10)
, (11)
. (12)
Equations (10) and (11) can be written in the exponential form are given by
, (13)
and
. (14)
Thus we get the exact solution by differential transform method.
Problem 2: Consider the non-linear system in the form of initial value problems [1] is given by:
, (15)
. (16)
Applying Differential Transform, we have
, (17)
. (18)
For
the series coefficients for
and
can be obtained as


We used MATHEMATICA to calculate the unknown coefficients
and
.
Using the inverse Transform:
, (19)
, (20)
. (21)
This can be written as folows
(22)
and
(23)
Thus we get the exact solution by differential transform method.
Problem 3: Consider the system of initial value problems [29]:
(24)
(25)
(26)
(27)
with initial conditions
, i = 1, 2, 3, 4.
Applying Differential Transform, we have
;
;
;
.
With the transformed initial conditions are
,
.
For
the series coefficients for
,
,
and
can be obtained as:




Using the inverse Transform:
(28)
We obtain
,
,
,
.
In this section, we have presented three different linear and nonlinear stiff systems via Differential Transform Method and the series solution of Equations (13) and (22) have shown in Figures 1 and 2 respectively.
4. Conclusion
In this work, DTM has been applied to the exact solution of linear and non-linear stiff system. DTM is a semi numerical method and we obtained a closed form solution such as [11] and expressed the series form solutions in graphical form for the first two examples. It has been

Figure 1. Graphical solution of Equation (13) via DTM.

Figure 2. Graphical solution of Equation (22) via DTM.
observed that DTM is simpler, effective and reliable.
NOTES