Abstract
We are pleased to investigate some Riemann–Liouville fractional integral inequalities in a very simple and novel way. By using convexity of a function f and a simple inequality over the domain of f we establish some interesting results.
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1 Introduction
The study on the fractional calculus continued with contributions from Fourier, Abel, Lacroix, Leibniz, Grunwald and Letnikov for detail (see, [2, 4]). Riemann–Liouville fractional integral operator is the first formulation of an integral operator of non-integral order.
Definition 1
Let \(f\in L_{1}[a,b]\). Then the Riemann–Liouville fractional integrals of f of order \(\alpha >0\) with \(a\ge 0\) are defined by
and
In fact these formulations of fractional integral operators have been established due to Letnikov [5], Sonin [6] and then by Laurent [3].
Since the inequalities always have been proved worthy in establishing the mathematical models and their solutions in almost all branches of applied sciences. Especially the convexity takes very important role in the optimization theory. The aim of this paper is to introduce some fractional inequalities for the Riemann–Liouville fractional integral operators via the convexity property of the functions.
2 Main results
First we give the following estimate of the sum of left and right handed Riemann–Liouville fractional integrals.
Theorem 1
Let\(f:I\longrightarrow \mathbb {R}\)be a positive convex function. Then for\(a,b\in I;a<b\)and\(\alpha ,\beta \ge 1\), the following inequality for Riemann–Liouville fractional Integrals holds
Proof
Let us consider the function f on the interval \([a,x], x \in [a,b]\). Then for \(t \in [a,x]\) and \(\alpha \ge 1\) the following inequality holds
Since f is convex therefore for \(t \in [a,x]\) we have
Multiplying inequalities (2) and (3), then integrating with respect to t over [a, x] we have
Now we consider the function f on the interval \([x,b], x\in [a,b]\). Then for \(t\in [x,b]\) and \(\beta \ge 1\) the following inequality holds
Since f is convex on [a, b], therefore for \(t \in [x,b]\) we have
Multiplying inequalities (5) and (6), then integrating with respect to t over [x, b] we have
Adding (4) and (7) we get the required inequality in (1). \(\square \)
It is nice to see that the following implications hold.
Corollary 1
By setting\(\alpha =\beta \) in (1) we get the following fractional integral inequality
Corollary 2
By setting\(\alpha =\beta =1\) and taking\(x=b\) or\(x=a\) in (1) we get
Corollary 3
By setting\(\alpha =\beta =1\) and taking\(x=\frac{a+b}{2}\) in (1) we get
Remark 1
It is interesting to see that if in Theorem 1 we consider f is concave function and \(0<\alpha ,\beta <1\), then reverse of inequalities (1) holds.
In the following result we investigate the fractional integral inequality that appears as the generalization and refinement of a well known inequality for functions whose derivative in absolute value is convex.
Theorem 2
Let\(f: I \longrightarrow \mathbb {R}\)be a differentiable function. If\(|f'|\) is convex, then for\(a,b \in I\), \(a<b\)and\(\alpha ,\beta >0\)the following inequality for the Riemann–Liouville fractional integrals holds
Proof
Since \(|f'|\) is convex, therefore for \(t \in [a,x]\) we have
from which we can write
We consider the right hand side of inequality (12)
Now for \(\alpha >0\) we have the following inequality
The product of last two inequalities give
Integrating with respect to t over [a, x] we have
and
Therefore (15) takes the form
If we consider from (12) the left hand side inequality and proceeding as we did for the right side inequality we get
On the other hand for \(t\in [x,b]\) using convexity of \(|f'|\) we have
Also for \(t\in [x,b]\) and \(\beta >0\) we have
By adopting the same treatment as we have done for (12) and (14) one can obtain from (19) and (20) the following inequality
By combining the inequalities (18) and (21) via triangular inequality we get the required inequality. \(\square \)
It is interesting to see the following inequalities as special cases.
Corollary 4
By setting\(\alpha =\beta \) in (11) we get the following fractional integral inequality
Corollary 5
By setting\(\alpha =\beta =1\) and \(x=\frac{a+b}{2}\) in (11) we get the following inequality
Remark 2
If \(f'\) passes through \(x=\frac{a+b}{2}\), then from (22) we get [1], Theorem 2.2]. If \(f'(x)\le 0\), then (22) gives the refinement of [1], Theorem 2.2].
Before going to the next theorem we observe the following result.
Lemma 1
Let\(f: [a,b] \longrightarrow \mathbb {R}\), be a convex function. Iffis symmetric about\(\frac{a+b}{2}\), then the following inequality holds
Proof
We have
Since f is convex, therefore we have
Also f is symmetric about \(\frac{a+b}{2}\), therefore we have \(f(a+b-x)=f(x)\) and inequality in (23) holds. \(\square \)
Theorem 3
Let\(f: I \longrightarrow \mathbb {R}\)be a positive convex function. Iffis symmetric about\(\frac{a+b}{2}\), then the following inequality for Riemann–Liouville fractional integrals holds
Proof
For \(x\in [a,b]\) we have
Also f is convex function we have
Multiplying (27) and (28) and then integrating with respect to x over [a, b] we have
From which we have
On the other hand for \(x\in [a,b]\) we have
Multiplying (28) and (30) and then integrating with respect to x over [a, b] we get
From which we have
Using Lemma 1 and multiplying (23) with \((x-a)^{\beta }\), then integrating over [a, b] we have
Using Lemma 1 and multiplying (23) with \((b-x)^{\alpha }\), then integrating over [a, b] one can get
Adding (34) and (35) we get the required inequality. \(\square \)
Corollary 6
If we put\(\alpha =\beta \)in (26), then we get
Remark 3
If \(\alpha \rightarrow 0\), then from above inequality we get the Hadamard inequality.
References
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Kilbas, A.A., H.M. Srivastava, and J.J. Trujillo. 2006. Theory and applications of fractional differential equations, North-Holland Mathematics Studies, 204. New York: Elsevier.
Laurent, H. 1884. Sur le calcul des derivees a indicies quelconques. Nouvelles Annales de Mathematiques 3 (3): 240–252.
Lazarević, M. 2014. Advanced topics on applications of fractional calculus on control problems, system stability and modeling. Athens: WSEAS Press.
Letnikov, A.V. 1868. Theory of differentiation with an arbitray index (Russian). Moscow Matematicheskii Sbornik 3: 1–66.
Sonin, N.Y. 1869. On differentiation with arbitray index. Moscow Matematicheskii Sbornik 6 (1): 1–38.
Acknowledgements
This research work is supported by Higher Education Commission of Pakistan under NRPU 2016, Project no. 5421.
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Farid, G. Some Riemann–Liouville fractional integral inequalities for convex functions. J Anal 27, 1095–1102 (2019). https://doi.org/10.1007/s41478-018-0079-4
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DOI: https://doi.org/10.1007/s41478-018-0079-4