Abstract
Our aim in this paper is to investigate the convergence behavior of the positive solutions of a higher order fuzzy difference equation and show that all positive solutions of this equation converge to its unique positive equilibrium under appropriate assumptions. Furthermore, we give two examples to account for the applicability of the main result of this paper.
1. Introduction
It is well known that nonlinear difference equations and systems of difference equations of order greater than one are of great importance in applied sciences, where the n-st situation depends on the previous k situations because many models in economics, biology, computer sciences, engineering, etc. are represented by these equations naturally. For a detailed study of the theory of difference equations, see the monographs [1,2,3,4,5,6] and References [7,8,9,10,11,12,13,14,15]).
Since the data that are observed in relation to a real world phenomenon that can be described by a difference equation may be imprecise, this leads to introducing the fuzzification of the corresponding crisp difference equations. For this reason, studies of linear and nonlinear fuzzy difference equations (see [16,17,18,19,20]), and max-type fuzzy difference equations (see [21,22,23]), are more interesting as well as complicated.
In 2002, Papaschinopoulos and Papadopoulos [24] investigated global behavior of the following fuzzy difference equation:
under appropriate assumptions, where , C and the initial values are positive fuzzy numbers, where for any integers .
In 2012, Zhang et al. [25] studied the existence, the boundedness and the asymptotic behavior of the positive solutions of the following fuzzy nonlinear difference equation
where and the initial values are positive fuzzy numbers.
Our aim in this paper is to investigate the global behavior of the positive solutions of the following more general fuzzy difference equation:
where , and are fuzzy numbers and the initial values are positive fuzzy numbers with and F is the Zadeh’s extension of , where , , and and are connected subsets of , and . In the following, we assume that the following conditions hold:
.
is strictly decreasing on x and strictly increasing on y, and is decreasing on every and increasing on every .
For every , is decreasing on y in .
This paper is arranged as follows. We give some necessary definitions and preliminary results in Section 2. We show that under some conditions all positive solutions of (3) converge to its unique positive equilibrium in Section 3. Finally, two examples are given to account for the applicability of the main result of this paper.
2. Preliminaries
In this section, some definitions and preliminary results are given, which will be used in this paper, for more details, see [26].
Let J be a connected subset of . If A is a function from J into the interval , then A is called a fuzzy set (for J). A fuzzy set A is called fuzzy convex if, for every and , we have . For a fuzzy set A, is called the -cuts of A for any . It is known that the -cuts determine the fuzzy set A.
Definition 1.
Let J be a connected subset of and denote by the closure of subset K of . We say that fuzzy set A is a fuzzy number (for J) if the following conditions hold:
- (1)
- .
- (2)
- A is fuzzy convex.
- (3)
- A is upper semi-continuous.
- (4)
- The support of A is compact.
Denote by all fuzzy numbers (for J). If , then is a closed interval for any . Write , which is called the set of positive fuzzy numbers. If , then with for any , which is called a trivial fuzzy number.
Definition 2
(see [24,27]). Let with and for any . Then, we define the metric on as follows:
It is easy to see that is a complete metric space.
Let and write . We define a map by, for any and ,
where the sup is taken for all such that . Thus, F is called the Zadehs extension of f. By [28], we see that f is continuous if and only if F is continuous and, by [24], we see that, for any ,
Definition 3.
We say that a sequence of positive fuzzy numbers is a positive solution of (3) if it satisfies (3). We say that is a positive equilibrium of (3) if .
We say that a sequence of fuzzy numbers converges to with respect to metric D if .
Proposition 1.
Let and , and for any . If , then
Proof.
It follows from (6) that for any , we have
Let such that
Then, according to , we obtain
from which it follows that
Proposition 1 is proven. □
Proposition 2.
For given , (3) has one unique positive solution with initial values .
Proof.
For any , write
Let is the unique solution of the following system of difference equations:
with initial values . Since , there exist and such that, for any with , we have
It follows from and that, for any with , we have
It is easy to see that are left continuous on (see [29]) and (i.e., is compact). Hence, determines a unique such that for all (see [29]).
Moreover, by mathematical induction, we can prove that:
- (i)
- For every , there exist such that, for any with , we have .
- (ii)
- For every , and are left continuous on .Hence, for every , is compact, and determines a unique such that for every , from which it follows that is the unique positive solution of (3) with initial values .
Proposition 2 is proven. □
3. Main Result
In this section, we investigate the convergence behavior of the positive solutions of (3). For any positive solution of (3) with initial values and any , we write
By Proposition 1, we see that satisfies the following system
with initial values . For the convenience, we write
Lemma 1.
has only one solution in interval , and has only one solution in interval .
Assume that – hold, and h and g satisfy the following hypotheses:
System of equations
has a unique positive solution
and and .
Then,
Proof.
For the convenience, we write By and , we have
Suppose for the sake of contradiction that . Then, it follows from (21) and –, that
which is a contradiction. Therefore, . In a similar fashion, we can obtain . Thus, by , and , we have that
Lemma 1 is proven. □
Lemma 2.
Let and with and . Assume that – hold. If , then for any
Proof.
By , and , we have
By mathematical induction, we can obtain for any . Lemma 2 is proven. □
Suppose that and are as in Lemma 2. Let , , and , and, for any ,
Lemma 3.
Let and be as in Lemma 2. Assume that – hold. Suppose that h and g satisfy the following hypotheses:
If with and with are a solution of the system
then and .
Then, and .
Proof.
For the convenience, we write , and . By Lemmas 1 and 2, we obtain
and
By mathematical induction, we can obtain
Let
By (27), we have
It follows from that and , which with implies and . Lemma 3 is proven. □
Lemma 4.
Let be a positive solution of (16). Then, .
Proof.
Let be a positive solution of (16), and , and be the same as (27) and Lemma 3. By Lemma 2 we have and for any . Moreover, we have
In similar fashion, we may show and for any . By mathematical induction, we can show that, for any ,
It follows from Lemma 3 that and Lemma 4 is proven. □
Now, we state and show the main result of this paper.
Theorem 1.
Assume that – hold. Then, every positive solution of (3) converges to the unique positive equilibrium of (3).
Proof.
Let be a positive solution of (3) with initial values . By (16), we see for any with . Then, it follows from Lemma 4 that
Let and . Then, for any ,
By , we see that for any , the following system
has a unique positive solution
and , where . Let
Then, we see , and that and are left continuous on , and ( i.e., is compact). Therefore, (3) has the unique positive equilibrium such that for any . Furthermore, by Lemma 4, we see
Theorem 1 is proven. □
4. Examples
In this section, we give two examples to account for the applicability of Theorem 1.
Example 1.
Let
where , with , and , and the initial values with . Then, all positive solutions of (42) converge to its unique positive equilibrium as .
Proof.
For the convenience, for any , we write and . Let
In the following, we verify that hold.
- (1)
- is strictly decreasing on every , and strictly increasing on every .
- (2)
- For every , is decreasing on y in .
- (3)
- System of equationshas a unique positive solutionand .
- (4)
- has only one solution in interval , and has only one solution in interval .
- (5)
- Let and be a solution of the systemThen,From the above, we haveThus,Since , we obtain and . It follows from Theorem 1 that all positive solutions of (42) converge to its unique positive equilibrium as . □
Remark 1.
Example 2.
Let
where , with , and , and the initial values with . Then, all positive solutions of (51) converge to its unique positive equilibrium as .
Proof.
For the convenience, for any , we write and . Let
In the following, we verify that – hold.
- (1)
- is strictly decreasing on x and strictly increasing on every .
- (2)
- For every , is decreasing on y in .
- (3)
- System of equationshas a unique positive solutionand .
- (4)
- has only one solution in interval , and has only one solution in interval .
- (5)
- Let and be a solution of the systemThen,From the above, we haveThus,Since , we obtain and . It follows from Theorem 1 that all positive solutions of (51) converge to its unique positive equilibrium as . □
Remark 2.
When and , the fuzzy difference Equation (51) is the fuzzy difference Equation (1.3) investigated in [24].
5. Conclusions
In this study, we investigate the convergence behavior of the positive solutions of the higher order fuzzy difference Equation (3) and show that all positive solutions of (3) converge to its unique positive equilibrium as under appropriate assumptions. Finally, two examples are given to account for the applicability of the main result (Theorem 1) of this paper. In the future, we intend to investigate the existence, the boundedness and the asymptotic behavior of the more general fuzzy difference equation under appropriate assumptions.
Author Contributions
Conceptualization, G.S. and T.S.; methodology, G.S., T.S. and B.Q.; validation, G.S., T.S. and B.Q.; formal analysis, G.S., T.S.; writing—original draft preparation, T.S.; writing—review and editing, G.S., T.S. and B.Q.; funding acquisition, G.S., T.S. and B.Q.; the final form of this paper is approved by all three authors.
Funding
This work is supported by the NNSF of China (11761011), the NSF of Guangxi (2018GXNSFAA294010, 2016GXNSFAA380286), and the SF of Guangxi University of Finance and Economics (2019QNB10).
Conflicts of Interest
The authors declare no conflict of interest.
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