Abstract
In this study, trapezoidal-type inequalities in fuzzy settings have been investigated. The theory of fuzzy analysis has been discussed in detail. The integration by parts formula of analysis of fuzzy mathematics has been employed to establish an equality. Trapezoidal-type inequality for functions with values in the fuzzy number-valued space is proven by applying the proven equality together with the properties of a metric defined on the set of fuzzy number-valued space and Höler’s inequality. The results proved in this research provide generalizations of the results from earlier existing results in the field of mathematical inequalities. An example is designed by defining a function that has values in fuzzy number-valued space and validated the results numerically using the software Mathematica (latest v. 14.1). The p-levels of the defined fuzzy number-valued mapping have been shown graphically for different values of .
Keywords:
trapezoidal inequality; fuzzy real number; fuzzy trapezoidal-type inequality; Banach spaces; gH-differentiable function MSC:
26D15; 26A51
1. Introduction
Mathematical inequalities play an important role in proving several results in different areas of pure and applied mathematics. That is why this topic has emerged as an important topic in mathematics over the past several years, and mathematicians have successfully applied this subject to provide new generalizations, refine existing results, and even prove new results.
In classical analysis, a trapezoidal-type inequality is an inequality that provides upper and/or lower bounds for the quantity:
that is the error in approximating the integral by a trapezoidal rule, for various classes of integrable functions defined on the compact interval .
Cerone et al. obtained trapezoidal-type inequalities for functions of bounded variation in [1].
Theorem 1
([1]). Let be a function of bounded variation. We have the inequality
where denotes the total variation of ν on the interval . The constant is the best possible one.
If the mapping is Lipschitzian, then the following result holds as well [2].
Theorem 2
([2]). Let be an L-Lipschitzian function on , i.e., ν satisfies the condition:
for all . Then, we have the inequality:
The constant is best in (3).
With the assumption of absolute continuity for the function , then the following estimates in terms of the Lebesgue norms of the derivative hold [3] (p. 93).
Theorem 3
([3]). Let be an absolutely continuous function on . Then, we have
where with and () are the Lebesgue norms, i.e.,
and
The next is a result on trapezoidal-type inequalities for operator convex functions.
Definition 1
([4]). A continuous function is operator convex on the interval I if
holds in the operator order, for all , where A and B are self-adjoint operators in a Hilbert space with spectra .
Theorem 4
([4]). Let (E, F are Banach spaces and C is an open subset of E) be an operator convex function on I and , self-adjoint operators on H with . If ν is Gâteaux differentiable on and is Lebesgue integrable and symmetric about , that is for all , then
where is the Gâteaux derivative over C in the direction V connecting the operators A and B.
A particular result of the above result can be obtained by taking for . Hence, for , we obtain
For some trapezoid operator inequalities in Hilbert spaces, see [5,6,7,8].
Definition 2
([9]). Let X be a complex Banach space. We say that the vector valued function is strongly differentiable on the interval if the limit
exists in the norm topology for all .
The following weighted version of generalized trapezoid inequality involving two functions with one function that contains values in Banach spaces was proven in Dragomir [9].
Theorem 5
([10]). Assume that and are continuous and ν is strongly differentiable on , then for all , then we have the following inequality:
where
Moreover, the following bounds for hold:
where with .
A dual result for Theorem 5 is given as follows:
Theorem 6
([9]). Assume that and are continuous and φ is continuously differentiable on , then for all the inequality
where
The following bounds hold for :
where with .
This study contains trapezoidal-type inequalities for fuzzy number-valued functions that can be seen as the most general inequalities of the trapezoidal type in this field so far. The inequalities proven in this paper not only generalize the earlier studies for trapezoidal-type inequalities for functions having values in the set of real numbers but also extend those studies that have been established for functions with values in Banach spaces. The results of this paper extend the results of Theorems 5 and 6 to fuzzy settings and hence also generalize the results of Theorem 3. The novelty of the results presented in this study is that they have not been previously investigated in any studies related to fuzzy environments. The researchers can uncover significant extensions and numerous applications in the mathematical sciences and other areas of science related to fuzzy mathematics. More recent studies on Ostrowski-, trapezoidal-, and midpoint-type inequalities can be explored in [11,12,13,14,15,16,17,18,19,20] and the references cited in these researches.
The next section is devoted to the basic definitions and results of fuzzy numbers and fuzzy number-valued functions.
2. Preliminaries
In this section we point out some basic definitions and results which would help us in the sequel of this paper, we begin with the following:
Definition 3
([21]). Let us denote by the class of fuzzy subsets of real axis (i.e., ), satisfying the following properties:
- (i)
- α is normal, i.e., with for some .
- (ii)
- α is convex fuzzy set, i.e.,
- (iii)
- ∀ α is upper semi-continuous on .
- (iv)
- is compact.The set is called the space of fuzzy real numbers.
Remark 1.
It is clear that , because any real number , can be described as the fuzzy number whose value is 1 for and zero otherwise.
It is clear that , because any real number , can be described as the fuzzy number whose value is 1 for and zero otherwise. We will collect some further definitions and notations as needed in the sequel [22].
For and , we define
and
Now, it is well known that for each , is a bounded closed interval. For and , we have the sum and the product are defined by , , where means the usual addition of two intervals as subsets of and means the usual product between a scalar and a subset of . It should be noted that the intervals and uniquely determine the sum of fuzzy numbers and , and the product of a real number and a fuzzy number .
- Now, we define by
- (i)
- (ii)
- (iii)
Moreover, it is well known that is a complete metric space.
Also we have the following theorem:
Theorem 7
([23]). We have the following properties of a fuzzy number:
- (i)
- If we denote , then is neutral element with respect to ⊕, i.e., , for all .
- (ii)
- With respect to none of has opposite in with respect to ⊕.
- (iii)
- For any with or , any , we have the above property does not hold.
- (iv)
- For any and any we have
- (v)
- For any and any we have
- (vi)
- If we denote then has the properties of a usual norm on , i.e., if and only if , and
Remark 2.
The propositions (ii) and (iii) in theorem show us that is not a vector space over and consequently cannot be a normed space. However, the properties of D and those in theorem (iv)–(vi), have the effect that most of the metric properties of functions defined as with values in a Banach space can be extended to functions , called fuzzy number-valued functions.
In this paper, for the ranking concept, we will use a partial ordering which was introduced in [24].
Definition 4
([24]). Let the partial ordering ≼ in by if and only if and , , and the strict inequality ≺ in is defined by if and only if and , , where .
Definition 5
([25]). Let τ, . If there exists a such that , then we call z the H-difference of τ and , denoted by
Definition 6
([26]). Given two fuzzy numbers , the generalized Hukuhara difference (-difference for short) is the fuzzy number β, if it exists, such that
Remark 3.
It is easy to show that (i) and (ii) are both valid if and only if β is a crisp number.
In terms of p-levels, we have
and the conditions for the existence of are as follows:
If the -difference does not define a proper fuzzy number, the nested property can be used for p-levels and obtain a proper fuzzy number by
where defines the generalized difference of two fuzzy numbers defined in [25], and extended and studied in [26].
Remark 4.
Throughout this paper, we assume that if , then .
Proposition 1
([27]). For α, , we have
Proposition 2
([25]). Let α, . If exists in the sense of Definition 6, it is unique and has the following properties ( denotes the crisp set ):
- (i)
- .
- (ii)
- (a) , (b) .
- (iii)
- If exists then also does and .
- (iv)
- If exists, then exists and .
- (v)
- exists if and only if and exist and .
- (vi)
- if and only if (in particular if and only if ).
- (vii)
- If exists then either or and if both equalities hold then is a crisp set .
Definition 7
([25]). Let α, have p-levels , with , . The -division is the operation that calculates the fuzzy number (if it exists) defining by
provided that β is a proper fuzzy number.
Proposition 3
([25]). Let (here 1 is the same as ). We have the following:
- (i)
- If , then .
- (ii)
- If , then .
- (iii)
- If , then and .
- (iv)
- If exists then either or and both equalities hold if and only if is a crisp set.
Remark 5.
Let be a fuzzy-valued function. Then, the p-level representation of ν given by , . Here, and are the lower and upper p-level representations for all and .
Definition 8
([28]). Let be a fuzzy-valued function and . If , , such that ∀τ
then we say that L∈ is limit of ν in , which is denoted by .
Definition 9
([28]). A function is said to be continuous at if for every we can find such that , whenever . ν is said to be continuous on if it is continuous at every . We say that ν is continuous at each if it is continuous at each such that the continuity of ν is one-sided at end points k, ℓ.
Lemma 1
([29]). For any k, , k, and , we have
where is defined by .
Definition 10
([26]). Let and h be such that , then the -derivative of a function at is defined as
If in the sense of Definition 3, we say that ν is generalized Hukuhara differentiable (-differentiable for short) at .
Definition 11
([26]). Let and , with and both differentiable at , where and are p-level representations of for . Then the function is -differentiable at a fixed if and only if one of the following two cases holds:
- (i)
- is increasing and is decreasing as functions of r and
- (ii)
- is increasing and is decreasing as functions of p andMoreover, for all
Definition 12
([27]). We say that a point , is a switching point for the differentiability of ν, if in any neighborhood V of there exist points such that
Definition 13
([28]). Let be -differentiable at . Then ν is fuzzy continuous at c.
Theorem 8
([28]). Let I be closed interval in . Let be differentiable at τ, and be -differentiable . Assume that φ is strictly increasing on I. Then, exists and
Definition 14
([22]). Let . We say that ν is a fuzzy Riemann integrable if the converges to in the metric topology of for any division of , that is, ν is fuzzy Riemann integrable for every , there exists such that for any division of with the norms , we have
where denotes the fuzzy summation. We choose to write
We also call a ν as above -integrable.
Theorem 9
([30]). Let be integrable and . Then,
Corollary 1
([22]). If then ν is -integrable.
Lemma 2
([31]). If are fuzzy continuous (with respect to the metric ), then the function defined by is continuous on , and
Lemma 3
([31]). Let be fuzzy continuous. Then,
is fuzzy continuous function w.r.t. .
Proposition 4
([32]). Let , , and be fixed. The (the -derivative)
In particular when then .
Theorem 10
([33]). Let I be an open interval of and let be -fuzzy differentiable, . Then, exist and .
Theorem 11
([32]). Let be fuzzy differentiable function on with -derivative which is assumed to be fuzzy continuous. Then,
for any c, with .
Theorem 12
([26]). If ν is -differentiable with no switching point in the interval , then we have
Theorem 13
([28]). Let be a continuous fuzzy-valued function. Then,
is -differentiable and .
Theorem 14
([33]). Let and be two differentiable functions (ν is -differentiable), then
Theorem 15
([33]). Let and are two differentiable functions (ν is -differentiable), then
3. Main Results
Since fuzziness is a natural reality different from randomness and determinism, Anastassiou [14] extended Ostrowski’s result [34] to the context of a fuzzy setting in 2003. In fact, Anastassiou [14] proved important results for fuzzy Hölder and fuzzy differentiable functions, respectively. Those inequalities where shown to be sharp, as equalities are attained by the choice of simple fuzzy number-valued functions. For further details on these inequalities, we refer interested readers to [14].
We begin with the following result which generalizes Theorem 6.
Theorem 16.
Suppose that and are continuous and ν, φ are differentiable on (ν is -differentiable), then for all the inequality
holds, where
We have the following bounds for :
Proof.
The immediate consequence of Theorem 16 is the following corollary.
Corollary 2.
Suppose that the assumptions of Theorem 16 are satisfied, then the inequalities
for all .
Proof.
Proof follows from the first part of the inequality in (14) and by using the properties of the max function. □
Remark 6.
Corollary 3.
With the assumptions of Theorem 16, we have
for all .
Proof.
Corollary 4.
Under the assumptions of Theorem 16, we have the following non-commutative trapezoidal-type inequalities for functions with values in the space of fuzzy real numbers
for all .
Proof.
By applying the Hölder’s inequality for w, with , we obtain
Similarly, we also have
Hence, we obtain
for all .
One more interesting consequence of Theorem 16 is the following result.
Corollary 5.
Suppose that the assumptions of Theorem 16 are satisfied, then the following inequalities can be obtained:
for all .
Proof.
By using the inequality (see [35] (p. 129)):
for and with , we have
which proves the inequality (32). □
Remark 7.
Remark 8.
Suppose that the assumptions of Theorem 16 are fulfilled, then we obtain the following inequalities:
where
We have the following bounds for :
From (22), we obtain that
From (27) we derive the non-commutative mid-point type inequalities forfunctions with values in space of fuzzy real numbers
From (32), we can obtain
If we consider the case when , , then by (14) we obtain
where
The bounds of are given by
for all for w, and .
A dual result can be stated as follows:
Theorem 17.
Suppose that and are continuous and ν, φ are differentiable on (ν is -differentiable), then for all the inequality
where
We have the following bounds for :
for w, with .
Proof.
Example 1.
Consider the fuzzy number-valued mapping ν defined by
Then, for each , we have
We also define a mapping by . Then, according to the metric as defined in the beginning of Section 2 with and , then the inequality (14) takes the following form:
We now calculate the left hand side in (48) as follows:
where
Now, we calculate the bounds for as follows:
We use the software Mathematica to evaluate the above integrals as follows:
and
Hence, it can be observed from the above calculations of that the inequality (14) of Theorem 16 is valid for the above choices of functions over the interval Figure 1.
Figure 1.
Graphs of p-levels of are shown in green and those of are shown in blue.
4. Concluding Remarks
In the last forty years, there has been significant growth in the field of mathematical inequalities. Many researchers have published a plethora of articles using innovative approaches. Within the extensive literature on mathematical inequalities, trapezoidal-type inequalities stand out as important. These inequalities are utilized to estimate the absolute deviation of the average value of a function’s values at the end points of a closed interval of the real line from its integral mean.
Mathematicians have established various generalizations of trapezoidal-type inequalities, such as those for functions of bounded variation, Lipschitzian mappings, absolutely continuous functions, operator convex functions, and those involving two functions with values in Banach spaces. One of the notable studies on the generalizations of trapezoidal-type inequalities is highlighted in the paper [9].
In the present study, a more general result of the trapezoidal-type in the fuzzy context is proven, which generalizes not only the results from [9] but also extends the results from [1,2,4,7,8]. In order to obtain the results, a number of novel results from the theory of calculus of fuzzy number-valued functions were used. An identity has been proven by using the integration by parts, the properties of space of fuzzy numbers, and by employing the Hölder inequality to prove several new and novel inequalities of the trapezoidal-type for functions that have values in the space of fuzzy numbers. A numerical example is given to exhibit the validity of the obtained results. The results of this study can be a good source to obtain more new results for the researchers working in the field of mathematical inequalities in fuzzy number-valued calculus.
Funding
This work is supported by the Deanship of Scientific Research, King Faisal University under the Ambitious Researcher Track (Grant No. KFU241925).
Data Availability Statement
No data have been used in the manuscript.
Acknowledgments
The author would be very thankful to all the anonymous referees for their very useful and constructive comments in order to improve the paper.
Conflicts of Interest
The author declares no conflicts of interest.
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