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.