Some Hermite–Hadamard and Opial dynamic inequalities on time scales

The study of the H-H inequality have been attracted the attention of many scholars. In recent years, many refinements, generalizations, and extensions have been made to the inequality (1.1); we advise the interested reader to visit the published papers [2–8] and the references cited therein. After the H-H inequality and in 1960, Opial [9] established another important integral inequality, called in the literature Opial’s integral inequality, which is as follows: ∫ μ


Introduction
In 1893, the H-H inequality was established for a convex function ℘ on a given interval [d 1 , d 2 ] in [1]: (1.1) The study of the H-H inequality have been attracted the attention of many scholars. In recent years, many refinements, generalizations, and extensions have been made to the inequality (1.1); we advise the interested reader to visit the published papers [2][3][4][5][6][7][8] and the references cited therein.
The inequalities (1.1) and (1.2) have been proved not only for the ordinary order but also for various fractional models, for example, the Riemann-Liouville model, the Atangana-Baleanu model, the tempered fractional model, the Caputo-Fabrizo model, and the conformable model; see [18][19][20][21][22] and the references therein.
The use of dynamic system to study the continuous and discrete times is well studied, especially for the real-world modeling issues. It is better to check if structures can be given that encourage us in integrating all dynamic systems at the same time to derive a superior and perspective comprehension of the contrasts between continuous and discrete domains. In fact, constructing a correlation between discrete and continuous situations is the primary aim of dynamic equations on time scales. It is well known that the theory of time scales was originated by Hilger in his Ph.D. thesis [23]. After that, this setting was evolved by many researchers, for more details refer to [24,25].
Over the recent couple of years, there has been growing interest in the study of dynamic inequalities on time scales and this has become an important field in applied and pure mathematics; see for details [25][26][27][28][29][30].
This article is devoted to establishing some dynamic H-H and Opial inequalities on time scales. The obtained inequalities will extend some known integral inequalities, and extend and unify some continuous inequalities.
The article consists of five sections. Section 1 is for the introduction. In Sect. 2 we present basic concepts and preliminaries of time scale notations, and in Sect. 3 we discuss and derive some dynamic inequalities of H-H on time scales. Opial dynamic inequalities will be discussed in Sect. 4. Section 5 concludes the article finally.

Preliminaries
This section deals with recalling time scale notation and basic lemmas on Steffensen inequalities on time scales. Let R be the set of real numbers, then a time scale T 0 is a nonempty and closed subset of R. For ι ∈ T 0 , the forward and backward jump operators σ , ρ : T 0 → R are, respectively, defined by σ (ι) = inf{n ∈ T 0 : n > ι} and ρ(ι) = sup{n ∈ T 0 : n < ι}.
We define the graininess function ℘ : For further information on these notions we refer the reader to Refs. [24,25]. 25]) Assume that ℘ : T 0 → R is a real-valued function. Then we say ℘ is RD-continuous on R if its left limit is finite at any left-dense point of T 0 and it is continuous on every right-dense point of T 0 .

Definition 2.2 ([25]
) Assume that ℘ : T 0 → R is a real-valued function. Then we say ℘ is LD-continuous on R if its right limit is finite at any right-dense point of T 0 and it is continuous on every left-dense point of T 0 .
integrable functions such that ℘ 1 of one sign and decreasing and 0 ≤ ℘ 2 (s) ≤ 1 for each

7)
Theorem 2.6 (∇-integration by parts [17,24,25] Then the integration by parts in the sense of ∇ is formulated as follows:

Dynamic H-H inequalities
Then, by making use of the above and the fact This simplifies to This implies that ϑ 1 , ϑ 2 ≥ 3d 1 +d 2 4 < d 1 +3d 2 4 . Thus, 1 and 3 satisfy the hypotheses in Theorem 2.1. Then, by using the same technique as used above, we can deduce By convexity of ℘, it follows that

Adding inequalities (3.3) and (3.4) together and simplifying the result we get
Again, by using the convexity of ℘ (we see ℘( ϑ 2 +ϑ 1 2 ) ≤ ℘(ϑ 2 )+℘(ϑ 1 ) 2 ) for the last inequality and rearranging the terms, we get the desired result. gives the new inequality Proof Suppose that ℘ is decreasing and convex. It follows that ℘ ≤ 0. Let 1 := -℘ , then we see that 1 is decreasing and 1 ≥ 0. By making use of integration by parts and the fact which rearranges to the desired result.

Dynamic Opial inequalities
Theorem 4.1 Let 0, μ ∈ T 0 . For a delta differentiable and increasing function ℘ :  Multiplying inequality (4.2) on both sides by the factor |℘(μ)| > 0 and from the condition ℘(0) = 0 we obtain the desired result (4.1). Now, let ℘(s) = cs for some c ∈ R. Then ℘ (s) = c and it is easy to check that equality holds in (4.1). The proof is complete.

Conclusion
In this article, by making use of the well-known dynamic inequalities, a dynamic version of integration by parts and chain rule formulas, we obtained some useful dynamic H-H and Opial inequalities on time scales. The derived inequalities generalize some well-known dynamic inequalities in the literature. For this purpose, the reader can see corollaries and remarks after each theorem of the main results.