1. Introduction
The theory of dynamic equations on time scales is a genuinely new subject and the research related to this area is developing rapidly. Time scale theory has been developed to unify continuous and discrete structures, and it allows solutions for both differential and difference equations at a time and extends those results to dynamic equations. Basic results in time scales and dynamic equations on time scales are found in [
1,
2,
3,
4,
5,
6]. In [
7], the author illustrated an example where delta derivative needs more assumptions than nabla derivative. Some recent studies in economics [
8], production, inventory models [
9], adaptive control [
10], neural networks [
11], and neural cellular networks [
12] suggest nabla derivative is also preferable and it has fewer restrictions than delta derivative on time scales.
On the other hand, when we expect to investigate a real world phenomenon absolutely, it is important to think about a number of unsure factors too. To specify these vague or imprecise notions, Zadeh [
13] established fuzzy set theory. The theory of fuzzy differential equations (FDEs) and its applications was developed and studied by Kaleva [
14], Lakshmikantham and Mohapatra [
15]. The concept based on Hukuhara differentiability has a shortcoming that the solution to a FDEs exists only for increasing length of support. To overcome this shortcoming, Bede and Gal [
16] studied generalized Hukuhara differentiability for fuzzy functions. In light of this preferred advantage, many authors [
17,
18,
19] tend their enthusiasm to the generalized Hukuhara differentiability for fuzzy set valued functions.
The calculus of fuzzy functions on time scales was studied by Fard and Bidgoli [
20]. Vasavi et al. [
21,
22,
23,
24] introduced Hukuhara delta derivative, second-type Hukuhara delta derivative, and generalized Hukuhara delta derivatives by using Hukuhara difference, and they studied fuzzy dynamic equations on time scales. Wang et al. [
25] introduced and studied almost periodic fuzzy vector-valued functions on time scales. Deng et al. [
26] studied fractional nabla-Hukuhara derivative on time scales. Recently, Leelavathi et al. [
27] introduced and studied properties of nabla Hukuhara derivative for fuzzy functions on time scales. However, this derivative has the disadvantage that it exists only for the fuzzy functions on time scales which have a diameter with an increasing length. For the fuzzy functions with decreasing length of diameter on time scales, Leelavathi et al. [
28] introduced the second-type nabla Hukuhara derivative and studied its properties. Later, they continued to study fuzzy nabla dynamic equations under the first and second-type nabla Hukuhara derivatives in [
29] under generalized differentiability by using generalized Hukuhara difference in [
30]. Consider a simple fuzzy function
,
, where
is a triangular fuzzy number. Clearly,
has decreasing length of diameter in
and increasing length of diameter in
. Therefore, the fuzzy function
is neither a nabla Hukuhara differentiable (as defined in [
27]) nor a second-type nabla Hukuhara differentiable (as defined in [
28]) on
. In this context, it is required to define a nabla Hukuhara derivative for a fuzzy function which may have both increasing and decreasing length of diameter on a time scale. To address this issue, in the present work, we define a new derivative called generalized nabla derivative for fuzzy functions on time scales via Hukuhara difference and study their properties. In [
31], the authors introduced a nabla integral for fuzzy functions on time scales and obtained fundamental properties. In the present work, we continue to study nabla integral for fuzzy functions on time scales and prove a fundamental theorem of nabla integral calculus for generalized nabla differentiable functions.
The rest of this paper is arranged as follows. In
Section 2, we present some basic definitions, properties, and results relating to the calculus of fuzzy functions on time scales. In
Section 3, we establish the nabla Hukuhara generalized derivative for fuzzy functions on time scales and obtain its fundamental properties. The results are highlighted with suitable examples. In
Section 4, we prove an embedding theorem on
and obtain the results connecting to generalized nabla differentiability on time scales. Using these results, we finally prove the fundamental theorem of nabla integral calculus for fuzzy functions on time scales under generalized nabla differentiability and a numerical example is provided to verify the validity of the theorem.
2. Preliminaries
Let
be the family of all nonempty convex compact subsets of
. Define the set addition and scalar multiplication in
as usual. Then, by [
14],
is a commutative semi-group under addition with cancellation laws. Further, if
and
, then
Let
P and
Q be two bounded nonempty subsets of
. By using the Pampeiu–Hausdorff metric, we define the distance between
P and
Q as follows:
where
is the Euclidean norm in
. Then,
becomes a separable and complete metric space [
14].
- (a)
If there exists a such that , then u is said to be normal.
- (b)
u is fuzzy convex.
- (c)
u is upper semi-continuous.
- (d)
The closure of = is compact.
For
, denote
; then, from the above conditions, we have that the
-level set
. By Zadeh’s extension principle, a mapping
can br extended to
by
We have , for all and h is continuous. The scalar multiplication ⊙ and addition ⊕ of is defined as , where
Define
by the equation
where
is the Pampeiu–Hausdorff metric defined in
. Then,
is a complete metric space [
14]. The following theorem extends the properties of addition and scalar multiplication of fuzzy number valued functions (
) to
[
14].
The properties of addition and scalar multiplication of fuzzy number valued functions () are easily extended to .
Theorem 1 - (a)
If we denote , then is the zero element with respect to ⊕, i.e., .
- (b)
For any has no inverse with respect to .
- (c)
For any with or and , .
- (d)
For any and , we have .
- (e)
For any and , we have .
Definition 1 ([
14])
. Let . If there exists such that , then we say that M is the Hukuhara difference of K and L and is denoted by . For any and , the following hold:
- (a)
;
- (b)
;
- (c)
;
- (d)
;
- (e)
; and
- (f)
.
provided the Hukuhara differences exists.
A triangular fuzzy number is denoted by three points as
. This representation is denoted as membership function
In addition, -level sets of triangular fuzzy number t is an interval defined by -cut operation, , for all . Clearly, the triangular fuzzy number is in .
Let
,
be two triangular fuzzy numbers in
. The addition and scalar multiplication are defined as:
Remark 1. From Theorem 1(c), we can deduce that, for any and .
- (a)
If , then exists and .
- (b)
If , then exists and .
Proof. - (a)
Since and , from Theorem 1(c), we get Therefore, . Hence, .
- (b)
Since and , from Theorem 1(c), it is easily proven that
□
Now, we discuss the differentiability and integrability of fuzzy functions on (where I is a compact interval).
Definition 2 ([
14])
. A mapping is said to be strongly measurable if, for each , the fuzzy function defined by is measurable. Remark 2 ([
14])
. A mapping is said to be integrably bounded if there exists an integrable function h such that , for all . Definition 3 ([
14])
. Let . The integral of Φ
over I is denoted by or ,where g is a level wise selection of measurable functions of for . A mapping is said to be integrable over I if is integrably bounded and strongly measurable function and also .
Theorem 2 ([
14])
. Let be integrable. Then,- (a)
;
- (b)
, where ;
- (c)
, where ;
- (d)
is integrable; and
- (e)
.
Definition 4 ([
18])
. A fuzzy function is said to be differentiable from left at if for , there exists , such that the following holds:- (a)
for , exist and - (b)
for , exist and .
Here, P is the derivative of Φ from left at and is denoted as .
Definition 5 ([
18])
. A fuzzy function is said to be differentiable from right at if, for , there exists , such that the following holds:- (a)
for , exist and - (b)
for , exist and
Here, P is the derivative ofΦ from right at and is denoted as . The limits are taken over .
Definition 6 ([
18])
. If Φ
is both left-differentiable and right-differentiable at , then Φ
is said to be differentiable at and . Here, P is called the derivative of Φ
at and we consider one-sided derivative at the end points of I. Remark 3 ([
18])
. If Φ
is differentiable at , then there exists a , such that:- (a)
For , or exists.
- (b)
For , or exists.
3. Generalized Nabla Hukuhara Differentiability on Time Scales
This section is concerned with defining and studying the properties of derivative for fuzzy functions on time scales. In addition, we illustrate the results with suitable examples.
Definition 7 ([
21])
. For any given , there exists a , such that the fuzzy function has a unique -limit at if , for all and it is denoted by . Here, -limit denotes the limit on time scale in the metric space .
Remark 4. From the above definition, we havewhere the zero element in is given by . Definition 8. A fuzzy mapping is continuous at , if exists and , i.e., Remark 5. If is continuous at , then, for every , there exists a , such that Remark 6. Let and .
- (a)
If , then Φ is said to be right continuous at .
- (b)
If , then Φ is said to be left continuous at .
- (c)
If , then Φ is continuous at .
Definition 9. A fuzzy function is said to be left-differentiable at s , if there exists an element with the property that, for any given , there exists a of s for some and ,orfor all , where , is the generalized nabla left-derivative of Φ
at s. Definition 10. A fuzzy function is said to be right-differentiable at , if there exists an element with the property that, for every given , there exists a neighborhood of s for some and ,orfor all , where , is the generalized nabla right-derivative of Φ
at s. Definition 11. A fuzzy function is said to be differentiable at , if Φ
is both right- and left-differentiable at and Here, or is called -derivative of Φ at and it is denoted by . Moreover, if derivative exists at each , then Φ is differentiable on .
Theorem 3. Let be a fuzzy function and , then:
- (a)
If is differentiable at s, then Φ is continuous at .
- (b)
If s is left dense and is differentiable at s iff the limitsexist as a finite number and holds any one of the following:
Proof. (
a) Suppose that
is
differentiable at
s. Let
. Choose
, where
. Clearly,
. Since
is
left-differentiable, there exists
a neighborhood of
s such that, for all
with
or
For
and for all
, to each
, we have,
Similarly, we can prove is continuous at s, if is right-differentiable at s.
(
b) Suppose that
is
differentiable at
s and
s is left dense. To each
, there exists a neighborhood
of
s such that
or
and
or
for all
. Since
s is left dense,
we have
or
or
for
. Since
is arbitrary, we get any one of (i)–(iv). □
The converse proposition of Theorem 3(a) may not be true. That is a fuzzy function which is continuous may not be differentiable.
Example 1. Let be a fuzzy function defined as follows:where , and is a triangular fuzzy number. Sinceand In addition, . Then, from Remark 6(c), Φ
is continuous at (See Figure 1). Since is dense, , for h sufficiently small, and, from Remark 1(a), we have Therefore, . Hence, Φ is not differentiable at .
Definition 11 can equivalently be written as follows:
Remark 7. If is differentiable at if and only if there exists an element , such that any one of the following holds:
- (GH1)
for , provided the Hukuhara difference , and the limits existor - (GH2)
for , provided the Hukuhara difference , and the limits existor - (GH3)
for , provided the Hukuhara difference , and the limits existor - (GH4)
for , provided the Hukuhara difference , and the limits exist
Thus, is called the derivative of Φ on .
Remark 8. Let be differentiable.
- (a)
If Φ is -nabla differentiable at , then there exists a , such that, for , we have Thus, if Φ is -nabla differentiable on , then is non-decreasing on .
- (b)
If Φ is -nabla differentiable at , then there exists a , such that, for , we have Thus, if Φ is -nabla differentiable on , then is non-increasing on .
- (c)
If Φ
is -nabla differentiable at , then there exists a , such that, for , we have Therefore, is non-decreasing in the left neighborhood and non-increasing in the right neighborhood of s. Thus, monotonicity of fails at s.
- (d)
If Φ
is -nabla differentiable at , then there exists a such that, for , Therefore, is non-increasing in the left neighborhood and non-decreasing in the right neighborhood of s. Thus, monotonicity of fails at s.
Example 2. Let be a fuzzy function defined as , where is a triangular fuzzy number. Let .
In Figure 2, it is easily seen that is -nabla differentiable on , is -nabla differentiable on . Now, we check the differentiability at . Since is dense, . In addition, , and, from Remark 1(a), we have . Consider In a similar way, we get . Hence, Φ is -nabla differentiable at . Similarly, we can show that Φ is also -nabla differentiable at .
Theorem 4. If is continuous at s and s is left scattered, then:
- (a)
Φis differentiable at s as in or withand (or) - (b)
Φis differentiable at s as in with - (c)
Φis differentiable at s as in with
Proof. Suppose
and
is continuous at left scattered point
s. Then, from
or
, we have
Since the Hukuhara differences
exists, then
where
are in
. By adding the above equations, we get
. Then,
or
are in
and hence the result is obvious.
Suppose
and
is continuous at left scattered point
s. Then, from (GH3), we have
Hence, .
Suppose
and
is continuous at left scattered point
s. Then, from (GH4), we have
Hence, □
Remark 9. A fuzzy function is defined as , where , are nabla differentiable such that , for all .
- (a)
If Φ is differentiable as in at ld-point s or differentiable as at left scattered point s, then , for .
- (b)
If Φ is differentiable as at ld-point s or differentiable as at left scattered point s, then , for .
Theorem 5. Let be differentiable at .
- (1)
If Φ and Ψ are both differentiable of same kind, then:
- (a)
is also differentiable of same kind at s with - (b)
also differentiable of same kind at s, provided exists and
- (2)
If Φ and Ψ are different kinds of differentiable at s, and exists for , then is differentiable at s with .
Proof. If
s is ld-point, then
. The proof of this theorem is similar to the proof of Lemma 4 and Theorem 4 in [
17].
Suppose that
and
are both
-nabla differentiable at left scattered point
. Then,
exists with
and
exists with
. Now,
Multiplying the above equation with
, we get
and it follows that
Hence,
is
differentiable as in
with
The case when and are differentiable as in is similar to the previous one.
Suppose
and
are both
-nabla differentiable at left scattered points
, similar to 1(a), we have
and
. Consider
Multiplying the above equation with , we get the desired result. In a similar way, we can easily prove the other case.
Suppose that
is
differentiable as in
and
is
differentiable as in
at left scattered points
, then the Hukuhara difference
exists with
and
exists with
. Now, by adding these equations, we get
Since the Hukuhara difference of
and
exist, we have
Now, by multiplying (
5) with
, we get
is
-nabla differentiable.
In a similar way, if
is
differentiable as in
and
is
differentiable as in
at left scattered points
, then we can easily prove that
Now, by multiplying (
6) with
, we get
is
-nabla differentiable. Therefore,
□
The following example illustrates the feasibility of Theorem 5.
Example 3. Let be fuzzy functions defined as follows:andwhere , is a triangular fuzzy number. IN Figure 3 and Figure 4, it is easily seen that Ω
and Ψ
are -nabla differentiable on , -nabla differentiable on , and -nabla differentiable at . Thus, , are differentiable at left scattered point . Now, from Remark 1, we have and In Figure 5, is -nabla differentiable on , -nabla differentiable on . At , Ω
and Ψ
are -nabla differentiable with , and . Now, Similarly, we can show that . Thus, is -nabla differentiable at and Theorem 5 1(a) is verified.
In Figure 6, it is easily seen that is -nabla differentiable on and -nabla differentiable on . Again, from Remark 1, we have Similarly, we can show that . Thus, is -nabla differentiable at and Theorem 5 1(b) is verified.
Consider as in Example 2, Φ
is -nabla differentiability at and Ψ
is -nabla differentiability at . Hence, Φ
and Ψ
are different kinds of differentiable at , and exists at . Now, from Theorem 5(2), we have Similarly, we can show that . Hence, Theorem 5(2) is verified.
Now, we check the -differentiable at . It is left scattered and , . Clearly, Ω, Φ, and Ψ are - and -nabla differentiable at . We get , and . In addition, the results of Theorem 5 hold at left scattered point .
4. Integration of Fuzzy Functions on Time Scales
In this section, we prove fundamental theorem of nabla integral calculus for fuzzy functions on time scales under generalized fuzzy nabla differentiable functions on time scales.
First, we prove an embedding theorem on
and obtain some results which are useful to prove the main theorem. To prove the these results, we make use of Definitions 1–3 and Theorem 4 in [
31].
Let be the set of all functions , is bounded on , left-continuous for each , right-continuous on 0, and has right limit for each . Endowed with the norm , is a Banach space. It is known that the following result which embeds into isometrically and isomorphically.
Theorem 6. If we define by , where , , then is a closed convex cone with vertex 0 in X (here X is a Banach space with the norm ).
Proof. First, we show that
is a Banach space. Consider a cauchy sequence
and for
, there exists
,
such that
implies
, that is
which yields the result that
and
as
where
,
is a Banach space. Hence,
is a Banach space. To obtain
i embeds
into
isometrically and isomorphically, we need to prove the following:
- (a)
, for any and ; and
- (b)
.
Let
. The
-level set of
can be written as
Thus, (a) is proved.
We make use the Proposition 3.1 and Remark 3.4 in [
18] to prove the following results.
Theorem 7. Suppose is left-differentiable at ; then, is nabla-differentiable at . Moreover,
- (a)
If there exists a exists for , then
- (b)
If there exists a exists for , then .
Proof. Let be left-differentiable at .
(
a) If there exists a
such that
exists for
, then
From Remark 3.4.1 in [
18], we have
Thus, .
Similarly, we can prove (b). □
Theorem 8. Suppose is right-differentiable ; then, is nabla-differentiable at . Moreover,
- (a)
If there exists a exists for , then - (b)
If there exists a exists for , then
Proof. The proof of this theorem is similar to that of Theorem 7. □
Theorem 9. If is differentiable at s, then is nabla-differentiable and . In this case, either or
Proof. Let
be
differentiable at
and
s is left dense; then, the proof is similar to the proof of Theorem 8 [
16]. Now, for
s being left scattered, we have
Then, .
Since
, we have
Thus, Therefore, . Finally, .
From Remark 8, it is clear that, the fuzzy function is - or -nabla differentiable at discrete points. For example, if is -differentiable on , and is only -nabla differentiable at , -nabla differentiable at , then is -nabla differentiable on and -nabla differentiable on . Therefore, if is -differentiable on , then it is possible to partition the into sub-intervals such that in each sub-interval is either - or -nabla differentiable.
Now, we prove the main theorem of this section fundamental theorem of nabla integral calculus of fuzzy functions on time scales. □
Theorem 10. Let and be a division of the interval such that Φ
is or -nabla differentiable on each of the interval with same kind of differentiability on each sub-interval. Then, where such that Φ
is -nabla differentiable on and such that Φ
is -nabla differentiable on Proof. Let
is
differentiable on
. Suppose
is
-nabla differentiable on
. Then, for
, we have
Let
; using Cauchy formula for functions with values in Banach space, we have
By Theorem 9, there exists and we get .
Since the embedding
i commutes with the integral, we obtain
By the definition of
, we obtain
By the additive property of the embedding
i, we have
Finally,
for all
. Adding Equations (
7) and (
8), we get the desired result
□
Example 4. Consider as in Example 2. We partition as such that is -nabla differentiable on , and -nabla differentiable on , . Thus, from Theorem 10, we have