The Solutions and the Dynamic Behavior of the Rational Difference Equations ()
Keywords:

1. Introduction
Over the last few years, the mathematicians have shown a lot of interest on studying the behavior of the non-linear difference equations and systems. These studies have been very productive and helpful to develop the basic theory of of the qualitative behaviour of non-linear rational difference equations. This topic experienced enormous growth in many areas where many real life phenomena were modeled using difference equations studies, for examples, from probability theory, statistical problems, stochastic time series, electrical network, genetics in biology, economics, sociology, etc. [1] [2] [3] [4] . It is known that non-linear difference equations are capable of producing a complicated behavior regardless its order. Thus, every research that studies the global attractivity, the boundedness character and the periodicity nature of non-linear difference equations are of paramount importance in their own right. The objective of this paper is to investigate some qualitative behavior of the solutions of the nonlinear difference equation:
(1)
where
and
are positive constants and the initial conditions
are arbitrary positive real numbers. Also, we obtain the solution of some special cases of this equation.
In fact, many authors and researchers studied qualitative behaviors of the solution of rational difference equations for example:
In [5] , Amleh et al. investigated the third-order rational difference equation
(2)
where
are non-negative real numbers and the initial conditions are non-negative real number.
In [6] [7] and [8] , Cinar investigated the solutions of the following difference equations
(3)
where
and
are positive real numbers.
Elabbasy et al. [9] investigated the asymptotic behavior of the solutions of a new class of the rational difference equations
(4)
where
and
and the initial conditions
and
are arbitrary positive real numbers.
El-Owaidy et al. [10] have investigated the global behavior of the difference equation
(5)
where the parameters
, and
are non-negative real numbers and the initial conditions
, and
are non-negative real numbers.
El-sayed [11] has investigate the global convergence result, boundedness, and periodicity of solutions of the recursive sequence
(6)
where the parameters
and
are positive real numbers and the initial conditions
and
are positive real numbers.
El-Moneam [12] studied the global stability of the positive solutions of the following nonlinear difference equation
(7)
where the coefficients
, while
and
are positive integers. The initial conditions
are arbitrary positive real numbers such that
.
Abo-Zeid [13] solved and studied the global behavior of the well defined solutions of the difference equation
(8)
where
and the initial values
are real numbers.
Gul [14] investigated the solution of the following difference equation
(9)
where
with the parameters
and the initial values
are nonzero quaternions such that their solutions are associated with generalized Fibonacci-type numbers.
Li and Li [15] studied investigate the global asymptotic stability of the following difference equation
(10)
where
,
is an integer and initial conditions
.
In addition, other related results on rational difference equations can be found in Refs. [16] [17] [18] and [19] and the references cited therein.
2. Preliminaries
Now we recall some results that are given in [2] , which will be helpful in our investigation of the difference Equation (1).
Let I be some interval of real numbers and let
be a continuously differentiable function. Then for every set of initial conditions
, the difference equation
(11)
has a unique solution
.
Definition 1. (Equilibrium point) A point
is called an equilibrium point of the difference Equation (1) if
That is,
for
is a solution of Equation (1), or equivalently,
is a fixed point of g.
Definition 2. (Stability) Let
be an equilibrium point of the difference Equation (1). Then, we have the following:
(i) The equilibrium point of the difference Equation (1) is called locally stable if for every
, there exists
such that for all
with
We have
for all
.
(ii) The equilibrium point
Equation (1) is called locally asymptotically stable if
is locally stable solution of (1) and there exists
, such that, for all
with
We have
(iii) The equilibrium point
of Equation (1) is called a global attractor if for all
, we have
(iv) The equilibrium point
of the difference Equation (1) is called a global asymptotically stable if it is locally stable, and
is also global attractor of the difference Equation (1).
(v) The equilibrium point
of the difference Equation (1) is called unstable if
is not locally stable.
Definition 3. The linearized equation of (1) about the equilibrium point
is the linear difference equation
(12)
Definition 4. (Periodicity) A sequence
is said to be periodic with periodic q if
for all
.
Definition 5. (Fibonacci sequence)
The sequence
, i.e.,
,
,
is called Fibonacci sequence.
Now, assume that the characteristic equation associated with (12) is
(13)
where
(14)
Theorem A. Assume that
, and
. Then
(15)
is a sufficient condition for the asymptotic stability of the difference equation:
(16)
Theorem B. Let
be an interval of real numbers and assume that
is a continuous function satisfying the following properties:
(a)
is non-decreasing in x in
for each
, and is non-increasing in
for each
.
(b) If
is a solution of the system
and
,
Then
Then equation
has a unique equilibrium
and every solution of this equation converge to
.
3. Dynamics of Equation (1)
In this section, we obtain the equilibrium point then we study the local stability, global stability of the solutions, and the boundedness of the following difference equation
where
and
are positive constants and the initial conditions
are arbitrary positive real numbers.
3.1. Local Stability of the Equilibrium Point
In this subsection, we study the local stability of the equilibrium point of Equation (1). Equation (1) has a unique equilibrium point and is given by
If
, then the only equilibrium point is
.
Theorem 3.1. Let
Then the equilibrium point of Equation (1) is locally asymptotically stable.
Proof.
Proof. Let
, be a continuous function defined by
Therefore, it follows that
We see that
So the linearized equation of (1) about
is
It follows by Theorem A that Equation (1) is asymptotically stable if
and so,
Thus,
The proof is complete.
3.2. Global Stability of the Equilibrium Point of Equation (1)
In this subsection, we study the global stability of the positive solutions of (1).
Theorem 3.2. The equilibrium point
of Equation (1) is global stability if
.
Proof. Let
be a real numbers and assume that
be a function define by
Then we can see that the function
is increasing in
and
. Suppose that
is a solution of the system
and
.
Then from Equation (1), we can see that
and then
Subtracting these two equations, we obtain
and if
, then we see that
.
According to Theorem B the equilibrium point
is a global attractor of (1). The proof is complete.
3.3. Boundedness of Solutions of Equation (1)
In this subsection, we look at the boundedness and unboundedness solutions of Equation (1).
Theorem 3.3. Every solution of Equation (1) is bounded if
.
Proof. Let
be a solution of (1).It follows from (1) that
Then when
, we see that
for all
.
Then the sequences
is decreasing and so is bounded from the above by
.
3.4. Numerical Examples of Equation (1)
In order to illustrate the results of the previous sections and to support our theoretical discussions, we assume some numerical examples in this section.
Example 1. Figure 1 shows that the zero solution of the difference Equation (1) is local stability with the initial conditions
,
,
and
and the parameters
,
and
.
Example 2. In Figure 2, we choose the parameters
,
and
with the initial conditions
,
,
and
. Then, the plot if the behavior of the zero solution of the difference Equation (1) is global stability where
.
Example 3. In Figure 3, consider the difference Equation (1) with initial conditions
,
,
,
. Moreover, choosing the parameters
,
and
. Then, the plot of the behavior of the solution of Equation (1) is bounded as shown in Figure 3.
![]()
Figure 1. The stable solution corresponding to difference Equation (1).
![]()
Figure 2. Plot the behavior of the zero solution of (1) is global stable.
![]()
Figure 3. Sketch the behavior of the solution of (1) is bounded.
4. Special Cases of Equation (1)
In this section we investigate the following special case:
where
and
are constants and the initial conditions
are arbitrary nonzero real numbers.
4.1. First Case
In this subsection, we solve the special case of Equation (1) when
.
Theorem 4.1. The solution of the following difference equation
(17)
is given by the following formulas for
.
where the initial conditions
are arbitrary positive real numbers with
,
.
Proof. By using mathematical induction we can proves as follow. For
the result holds. Assume that the result holds for
, as follows
where
is Fibonacci sequence and
.
Then, from Equation (17), it follows that
Thus,
Similarly, one can prove the other relations. Thus the proof is completed.
Example 5. Figure 4 shows the behaviour of the solution of Equation (17) when the initial conditions
,
,
and
.
![]()
Figure 4. Sketch the behavior of the solution of (17).
4.2. Second Case
In this subsection, we deal with the specific case of the Equation (1) when
and
.
Theorem 4.2. For
, the solution of difference equation
(18)
has the following formulas:
where the initial conditions
are arbitrary nonzero real numbers with
,
.
Proof. The results hold for
. Assume that the result holds for
.
where
is Fibonacci sequence and
.
Now, it follow from Equation (18), that
Thus,
Hence, we can easily proof the other relations. The proof has been done.
Example 6. Figure 5 illustrates the solution of Equation (18) when the initial
![]()
Figure 5. Sketch the behavior of the solution of (18).
conditions
,
,
,
.
4.3. Third Case
In this subsection, we study the following special case of Equation (1) when
,
and
.
Theorem 4.3. Every solution of the following difference equation
(19)
is periodic with period 12. Moreover, the solution of (10) takes the following form
where the initial conditions
are arbitrary nonzero real numbers, and
,
.
Proof. For
the result holds. Suppose that the result holds for
.
We see from Equation (19) that
Thus,
Similarly,
Thus,
Other relations can be found in similar way. Hence, the proof is completed.
Example 7. Figure 6 shows that the solution of Equation (19) has a periodic solution with period 12 when the initial conditions
,
,
,
.
![]()
Figure 6. Sketch the periodicity of the solution of (19).
4.4. Fourth Case
In this subsection, we investigate the following special case of Equation (1) when
,
and
and
,
.
Theorem 4.4. For
, the solution of the following difference equation
(20)
is periodic with period 6. Moreover, the solution of (20) takes the following form
where the initial conditions
are arbitrary nonzero real numbers, and
,
.
Proof. For
the result holds. Now, suppose that
and that our assumption holds for
. That is
From Equation (20) we have
Also,
Hence, the rest of the relations can be found in similar way. The proof has been completed.
Example 8. We show, in Figure 7, the behavior of the solution of equation (20) when the initial conditions
,
,
,
. Moreover, Figure 7 shows that the solution of Equation (20) has a periodic solution with period 6.
5. Conclusion
In this article we present the qualitative behavior of a rational difference equation. Firs, we prove the existence of the equilibrium point. Then it investigated the local stability, global stability and studied the boundededness of the difference
![]()
Figure 7. Sketch the periodicity of the solution of (20).
Equation (1). In Section 4, we obtained the form of the solution of four special cases of the difference Equation (1) and investigated the existence of a periodic solution of these equations, and we gave interesting numerical examples of each of the case with different initial values.