1. Introduction
The beauty of Radon’s inequality is its utility in many practical applications. Radon’s inequality and its generalized form are equivalent to Rogers–Hölder’s inequality and Bernoulli’s inequality as given in [
1]. Recently, it has been proven that the dynamic generalized Radon’s inequality is equivalent to Radon’s inequality, the weighted power mean inequality, Schlömilch’s inequality, Rogers–Hölder’s inequality and Bernoulli’s inequality on dynamic time scale calculus, as given in [
2].
The following inequality is a generalization of Radon’s inequality as given in [
3].
Theorem 1. Let , where ,  and . If  and  are such that , then:  The following inequality is a generalization of Nesbitt’s inequality as given in [
3].
Theorem 2. Let , , where ,  and . If , then:  We will prove these results on time scale calculus. Time scale calculus was initiated by Stefan Hilger as given in [
4]. A time scale is an arbitrary nonempty closed subset of the real numbers. The theory of time scale calculus is applied to reveal the symmetry of being continuous and discrete and to combine them in one comprehensive form. In time scale calculus, results are unified and extended. Time scale calculus is studied as delta calculus, nabla calculus and diamond-
 calculus. This hybrid theory is also widely applied on dynamic inequalities. Basic work on dynamic inequalities using time scales was done by Agarwal, Anastassiou, Bohner, Peterson, O’Regan, Saker and and many other authors.
In this paper, it is assumed that all considerable integrals exist and are finite and  is a time scale, , with  and an interval  means the intersection of a real interval with the given time scale.
  2. Preliminaries
We need here basic concepts of delta calculus. The results of delta calculus are adapted from [
5,
6].
For 
, forward jump operator 
 is defined by:
The mapping 
 such that 
 is called the forward graininess function. The backward jump operator 
 is defined by:
The mapping  such that  is called the backward graininess function. If , we say that t is right-scattered, while if , we say that t is left-scattered. Furthermore, if  and , then t is called right-dense, and if  and , then t is called left-dense. If  has a left-scattered maximum M, then , otherwise .
For a function , the delta derivative  is defined as follows:
Let 
; if there exists 
 such that for all 
, there exists a neighborhood 
U of 
t, such that:
	  for all 
, then 
f is said to be delta differentiable at 
t and 
 is called the delta derivative of 
f at 
t.
A function  is said to be right-dense continuous (rd-continuous), if it is continuous at each right-dense point and there exists a finite left limit at every left-dense point. The set of all rd-continuous functions is denoted by .
The next definition is given in [
5,
6].
Definition 1. A function  is called a delta antiderivative of , provided that  holds for all , then the delta integral of f is defined by:  The following results of nabla calculus are taken from [
5,
6,
7].
If 
 has a right-scattered minimum 
m, then 
, otherwise 
. For 
, a function 
f is called nabla differentiable at 
, with nabla derivative 
, if there exists 
 such that for any given 
, there exists a neighborhood 
V of 
t, such that:
	  for all 
.
A function  is said to be left-dense continuous (ld-continuous), provided it is continuous at every left-dense point in  and its right-sided limits exist (finite) at all right-dense points in . The set of all ld-continuous functions is denoted by .
The next definition is given in [
5,
6,
7].
Definition 2. A function  is called a nabla antiderivative of , provided that  holds for all , then the nabla integral of g is defined by:  Now, we present a short introduction of the diamond-
 derivative as given in [
8,
9].
Let 
 be a time scale and 
 be differentiable on 
 in the 
 and ∇ senses. For 
, where 
, diamond-
 dynamic derivative 
 is defined by:
Thus, f is diamond- differentiable if and only if f is  and ∇ differentiable.
The diamond- derivative reduces to the standard -derivative for , or the standard ∇-derivative for . It represents a weighted dynamic derivative for .
Theorem 3. [9] Let  be diamond-α differentiable at . Then: -  is diamond-α differentiable at , with: 
-  is diamond-α differentiable at , with: 
- For ,  is diamond-α differentiable at , with: 
 Definition 3. [9] Let  and . Then, the diamond-α integral from a to t of h is defined by:provided that there exist delta and nabla integrals of h on , as given in Definitions 1 and 2, respectively.  Theorem 4. [9] Let , . Assume that  and  are -integrable functions on , then: - ; 
- ; 
- ; 
- ; 
- . 
 We need the following result.
Definition 4. [10]: A function  is called convex on , where I is an interval of  (open or closed), if:for all  and all  such that . The function f is strictly convex on  if  is strict for distinct  and .
The function f is concave (respectively, strictly concave) on , if  is convex (respectively, strictly convex).
 Theorem 5. [8]: Let  and . Suppose that  and  with . If  is convex, then the generalized Jensen’s inequality is:If Φ 
is strictly convex, then the inequality ≤ can be replaced by <.    3. Main Results
In order to present our main results, first we present an extension of Radon’s inequality by applying Jensen’s inequality for a convex function via time scales.
Theorem 6. Let  be -integrable functions and . If ,  and  , then:  Proof.  Set ,  and .
Let  and .
The right-hand side of 
 can be written as:
        
Choosing 
, which for 
 is a convex function on 
, then Jensen’s inequality given in 
 takes the form:
        
Now, 
 takes the simplified form:
        
Putting values of 
 and 
 in the right-hand side of 
, we get:
        
		completing the proof of our claim. ☐
 Remark 1. Let , , ,  and  for  be sets of positive values, ,  and . If ,  and , then  reduces to .
 Remark 2. Let , , ,  and  for ,  and . If  and , then  reduces to:which is Radon’s inequality, as given in [11].  Remark 3. Let , , ,  and  for ,  and . If , , , then  reduces to:which is called Bergström’s inequality in the literature, as given in [12,13,14,15].  The inequality given in upcoming corollary is called Schlömilch’s inequality. Its other versions are also given in [
16,
17].
Corollary 1. Let  be -integrable functions, where . If , then:  Proof.  If 
 and 
, then 
 reduces to:
        
Let 
 for 
 and 
, then 
 becomes:
        
Replacing  by  and taking power , then  gives our required result. ☐
 The upcoming result is the generalized Nesbitt’s inequality on dynamic time scale calculus.
Theorem 7. Let  be -integrable functions. If , ,  and  , then:  Proof.  Let . Then, .
The right-hand side of 
 is:
        
Let .
Clearly,  is a convex function on , as it is the product of two convex functions.
Now, we apply Jensen’s inequality given in 
 and get:
        
        hence, Inequality 
 is clear from 
.
Therefore, the proof of Theorem 7 is completed.
 Remark 4. Let , , ,  for  be a set of positive values and . If , , ,  and , then  reduces to:as given in [18].  Remark 5. Let , , ,  for  be a set of positive values and . If , , ,  and , then  reduces to .
 Corollary 2. Let  be -integrable functions. If ,  and , then:  Proof.  Put  and  in Theorem 7; we get our claim.
 Remark 6. Let , , ,  for  be a set of positive values and . If , ,  and , then the discrete version of  reduces to:as given in [19].  Remark 7. Let , , ,  for  be a set of positive values and . If , ,  and  for , then the discrete version of  takes the form:as given in [19].  Corollary 3. Let  be -integrable functions,  and , then:  Proof.  Put ,  and  in Theorem 7, then Inequality  is clear. ☐
 Remark 8. Let , , ,  for  be a set of positive values and . If ,  and , then the discrete version of  takes the form:as given in [20]. Further, if we set  and , then  takes the form:where . Inequality  is called Nesbitt’s inequality, as given in [21].  Remark 9. If we set , then we get delta versions, and if we set , then we get the nabla version of dynamic inequalities presented in this article.
Furthermore, we get discrete versions, if we put , and we get continuous versions, if we put , of dynamic inequalities presented in this article.
   4. Conclusions and Future Work
In this research article, we have presented some fractional dynamic inequalities on diamond-
 calculus. Recently, some dynamic inequalities on diamond-
 calculus have been developed (see [
17,
22]). Some researchers developed various results concerning fractional calculus on time scales to produce related dynamic inequalities using the fractional Riemann–Liouville integral (see [
23,
24]). Similarly, we will continue to find further generalizations and applications of Radon’s inequality, Bergström’s inequality, Nesbitt’s inequality and some other inequalities on dynamic time scale calculus.
In the future, we can generalize dynamic inequalities using functional generalization, the n-tuple diamond- integral, the fractional Riemann–Liouville integral, quantum calculus and ,-symmetric quantum calculus.