The wide use of next-generation sequencing has allowed professionals to reach relevant progress in the medical field including diagnoses, prognoses, and genetic counselling and to help in recognizing the pathogenic mechanisms which underlie several epileptic disorders. Genetic epilepsy refers to a disorder in which genetic mutations are recognized as the primary cause of epileptic seizures in the patients. Various types of epilepsy have been highlighted alongside a clear etiologic relationship with genetic mutations; however, for a select number of patients, some doubts remain on the role played by the variant mutations, as well as the adverse pathologic events which may interfere with the clinical manifestations. In this study, twenty-seven children affected by epileptic seizures are reported, with the aim to describe the clinical and neurological involvement presented by the children according to the genes and variant mutations, and to compare the neurological signs observed in these children with those reported in children with similar genetic mutations. Additionally, the roles played by single or associated variants on the clinical expression of the affected children are discussed.
A retrospective observational study was conducted on the gene mutations observed in 27 children affected by a clinical history and diagnosis of epilepsy, alongside an electroencephalographic analysis performed with the Pediatric Department of the University-Hospital S. Marco during the years ranging from January 2020 to January 2022. A genetic analysis was performed using an array comparative genomic hybridization (array CGH), a gene panel for epilepsy, Whole Exome Sequencing (WES), and a single nucleotide polymorphism (SNP) array.
Nineteen children showed a single nucleotide variant, eight children carried two or more gene mutations in different genes, and one child was not reported. In this study, we identified a total of thirty-six gene mutations, where seventeen were de novo mutations, and twenty-two had either a maternal or paternal inheritance. The genes in which one or more allelic variants were found included GRIN2A, GABRA1, SCN2A1, KCNT1, PCDH19, SCN8A, KCNK4, SLC2A1, DNM1, ARID1B, WWOX, GABRG2, and others.
Genetic analyses are recognized to have a central role in the diagnostic process of children with epileptic seizures, alongside their family history, and clinical, neuroradiologic, and neurophysiologic examinations. The gene mutation anomalies reported in this study may be useful to be included in the wide field of factors related to epileptic seizures in children. The roles played by single or associated variant mutations in the clinical expression of the affected epileptic children remain difficult to be defined. Moreover, other factors such as pre-, peri-, and post-natal adverse events may negatively interfere with the severity of the clinical manifestations.
Citation: Piero Pavone, Ottavia Avola, Claudia Oliva, Alessandra Di Nora, Tiziana Timpanaro, Chiara Nannola, Filippo Greco, Raffaele Falsaperla, Agata Polizzi. Genetic epilepsy and role of mutation variants in 27 epileptic children: results from a “single tertiary centre” and literature review[J]. AIMS Medical Science, 2024, 11(3): 330-347. doi: 10.3934/medsci.2024023
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The wide use of next-generation sequencing has allowed professionals to reach relevant progress in the medical field including diagnoses, prognoses, and genetic counselling and to help in recognizing the pathogenic mechanisms which underlie several epileptic disorders. Genetic epilepsy refers to a disorder in which genetic mutations are recognized as the primary cause of epileptic seizures in the patients. Various types of epilepsy have been highlighted alongside a clear etiologic relationship with genetic mutations; however, for a select number of patients, some doubts remain on the role played by the variant mutations, as well as the adverse pathologic events which may interfere with the clinical manifestations. In this study, twenty-seven children affected by epileptic seizures are reported, with the aim to describe the clinical and neurological involvement presented by the children according to the genes and variant mutations, and to compare the neurological signs observed in these children with those reported in children with similar genetic mutations. Additionally, the roles played by single or associated variants on the clinical expression of the affected children are discussed.
A retrospective observational study was conducted on the gene mutations observed in 27 children affected by a clinical history and diagnosis of epilepsy, alongside an electroencephalographic analysis performed with the Pediatric Department of the University-Hospital S. Marco during the years ranging from January 2020 to January 2022. A genetic analysis was performed using an array comparative genomic hybridization (array CGH), a gene panel for epilepsy, Whole Exome Sequencing (WES), and a single nucleotide polymorphism (SNP) array.
Nineteen children showed a single nucleotide variant, eight children carried two or more gene mutations in different genes, and one child was not reported. In this study, we identified a total of thirty-six gene mutations, where seventeen were de novo mutations, and twenty-two had either a maternal or paternal inheritance. The genes in which one or more allelic variants were found included GRIN2A, GABRA1, SCN2A1, KCNT1, PCDH19, SCN8A, KCNK4, SLC2A1, DNM1, ARID1B, WWOX, GABRG2, and others.
Genetic analyses are recognized to have a central role in the diagnostic process of children with epileptic seizures, alongside their family history, and clinical, neuroradiologic, and neurophysiologic examinations. The gene mutation anomalies reported in this study may be useful to be included in the wide field of factors related to epileptic seizures in children. The roles played by single or associated variant mutations in the clinical expression of the affected epileptic children remain difficult to be defined. Moreover, other factors such as pre-, peri-, and post-natal adverse events may negatively interfere with the severity of the clinical manifestations.
On different time ranges, fractional calculus has a great impact due to a diversity of applications that have contributed to several fields of technical sciences and engineering [1,2,3,4,5,6,7,8,9,10,11,12]. One of the principal options behind the popularity of the area is that fractional-order differentiations and integrations are more beneficial tools in expressing real-world matters than the integer-order ones. Various studies in the literature, on distinct fractional operators such as the classical Riemann-Liouville, Caputo, Katugamploa, Hadamard, and Marchaud versions have shown versatility in modeling and control applications across various disciplines. However, such forms of fractional derivatives may not be able to explain the dynamic performance accurately, hence, many authors are found to be sorting out new fractional differentiations and integrations which have a kernel depending upon a function and this makes the range of definition expanded [13,14]. Furthermore, models based on these fractional operators provide excellent results to be compared with the integer-order differentiations [15,16,17,18,19,20,21,22,23,24,25,26,27].
The derivatives in this calculus seemed complicated and lost some of the basic properties that usual derivatives have such as the product rule and the chain rule. However, the semigroup properties of these operators behave well in some cases. Recently, the authors in [28] defined a new well-behaved simple derivative called "conformable fractional derivative" which depends just on the basic limit definition of the derivative. It will define the derivative of higher-order (i.e., order δ>1) and also define the integral of order 0<δ≤1 only. It will also prove the product rule and the mean value theorem and solve some (conformable) differential equations where the fractional exponential function eϑδδ plays an important rule. Inequalities and their utilities assume a crucial job in the literature of pure and applied mathematics [29,30,31,32,33,34,35,36,37]. The assortment of distinct kinds of classical variants and their modifications were built up by using the classical fractional operators.
Convexity and its applications exist in almost every field of mathematics due to impermanence in several areas of science, technology in nonlinear programming and optimization theory. By utilizing the idea of convexity, numerous variants have been derived by researchers, for example, Hardy, Opial, Ostrowski, Jensen and the most distinguished one is the Hermite-Hadamard inequality [38,39,40,41].
Let I⊂R be an interval and Q:I→R be a convex function. Then the double inequality
(l2−l1)Q(l1+l22)≤l2∫l1Q(z)dz≤(l2−l1)Q(l1)+Q(l2)2, | (1.1) |
holds for all l1,l2∈I with l1≠l2. Clearly, if Q is concave on I, then one has the reverse of inequality (1.1). By taking into account fractional integral operators, several lower and upper bounds for the mean value of a convex function can be obtained by utilizing of inequality (1.1).
Exponentially convex functions have emerged as a significant new class of convex functions, which have potential applications in technology, data science, and statistics. In [42], Bernstein introduced the concept of exponentially convex function in covariance formation, then the idea of an exponentially convex function is extended by inserting the condition of r-convexity [43]. Following this tendency, Jakšetić and Pečarić introduced various kinds of exponentially convex functions in [44] and have contemplated the applications in Euler-Radau expansions and Stolarsky means. Our aim is to utilize the exponential convexity property of the functions as well as the absolute values of their derivatives in order to establish estimates for conformable fractional integral introduced by Abdeljawed [45] and Jarad et al. [46].
Following the above propensity, we present a novel technique for establishing new generalizations of Hermite-Hadamard inequalities that correlate with exponentially tgs-convex functions and conformable fractional operator techniques in this paper. The main purpose is that our consequences, which are more consistent and efficient, are accelerated via the fractional calculus technique. In addition, our consequences also taking into account the estimates for Hermite-Hadamard inequalities for exponentially tgs-convex functions. We also investigate the applications of the two proposed conformable fractional operator to exponentially tgs-convex functions and fractional calculus. The proposed numerical experiments show that our results are superior to some related results.
Before coming to the main results, we provide some significant definitions, theorems and properties of fractional calculus in order to establish a mathematically sound theory that will serve the purpose of the current article.
Awan et al. [47] proposed a new class of functions called exponentially convex functions.
Definition 2.1. (See [47]) A positive real-valued function Q:K⊂R→(0,∞) is said to be exponentially convex on K if the inequality
Q(ϑl1+(1−ϑ)l2)≤ϑQ(l1)eαl1+(1−ϑ)Q(l2)eαl2, | (2.1) |
holds for all l1,l2∈R,α∈R and ϑ∈[0,1].
Now, we introduce a novel concept of convex function which is known as the exponentially tgs-convex function.
Definition 2.2. A positive real-valued function Q:K⊂R→(0,∞) is said to be exponentially tgs-convex on K if the inequality
Q(ϑl1+(1−ϑ)l2)≤ϑ(1−ϑ)[Q(l1)eαl1+Q(l2)eαl2], | (2.2) |
holds for all l1,l2∈R,α∈R and ϑ∈[0,1].
The conformable fractional integral operator was introduced by Abdeljawad [45].
Definition 2.3. (See [45]) Let ρ∈(n,n+1] and δ=ρ−n. Then the left and right-sided conformable fractional integrals of order ρ>0 is defined by
Jρl+1Q(z)=1n!z∫l1(z−ϑ)n(ϑ−l1)ρ−1Q(ϑ)dϑ | (2.3) |
and
Jρl−2Q(z)=1n!l2∫z(ϑ−z)n(l2−ϑ)ρ−1Q(ϑ)dϑ. | (2.4) |
Next, we demonstrate the following fractional integral operator introduced by Jarad et al. [46].
Definition 2.4. (See [46]) Let δ∈C and ℜ(δ)>0. Then the left and right-sided fractional conformable integral operators of order ρ>0 are stated as:
Jρ,δl+1Q(z)=1Γ(δ)z∫l1((z−l1)ρ−(ϑ−l1)ρρ)δ−1Q(ϑ)(ϑ−l1)1−ρdϑ | (2.5) |
and
Jρ,δl−2Q(z)=1Γ(δ)z∫l1((l2−z)ρ−(l2−ϑ)ρρ)δ−1Q(ϑ)(l2−ϑ)1−ρdϑ. | (2.6) |
Recalling some special functions which are known as beta and incomplete beta function.
B(l1,l2)=1∫0ϑl1−1(1−ϑ)l2−1dϑ, |
Bv(l1,l2)=v∫0ϑl1−1(1−ϑ)l2−1dϑ,v∈[0,1]. |
Further, the following relationship holds between classical Beta and incomplete Beta functions:
B(l1,l2)=Bv(l1,l2)+B1−v(l1,l2), |
Bv(l1+1,l2)=l1Bv(l1,l2)−(12)l1+l2l1+l2 |
and
Bv(l1,l2+1)=l2Bv(l1,l2)−(12)l1+l2l1+l2. |
Throughout the article, let I=[l1,l2] be an interval in real line R. In this section, we shall demonstrate some integral versions of exponentially tgs-convex functions via conformable fractional integrals.
Theorem 3.1. For ρ∈(n,n+1]) with ρ>0 and let Q:I⊂R→R be an exponentially tgs-convex function such that Q∈L1([l1,l2]), then the following inequalities hold:
4Γ(ρ−n)Γ(ρ+1)Q(l1+l22) |
≤1(l2−l1)ρ[Jρl+1Q(l2)eαl2+Jρl−2Q(l1)eαl1] |
≤2(n+1)Γ(ρ−n+1)Γ(ρ+3)(Q(l1)eαl1+Q(l2)eαl2). | (3.1) |
Proof. By using exponentially tgs-convexity of Q, we have
Q(x+y2)≤14(Q(x)eαx+Q(y)eαy). | (3.2) |
Let x=ϑl1+(1−ϑ)l2 and y=(1−ϑ)l1+ϑl2, we get
4Q(l1+l22)≤Q(ϑl1+(1−ϑ)l2)eαQ(ϑl1+(1−ϑ)l2)+Q(ϑl2+(1−ϑ)l1)eα[(1−ϑ)l1+ϑl2]. | (3.3) |
If we multiply (3.3) by 1n!ϑn(1−ϑ)ρ−n−1 with ϑ∈(0,1),ρ>0 and then integrating the resulting estimate with respect to ϑ over [0,1], we find
4n!Q(l1+l22)∫10ϑn(1−ϑ)ρ−n−1dϑ |
≤1n!∫10ϑn(1−ϑ)ρ−n−1Q(ϑl1+(1−ϑ)l2)eαQ(ϑl1+(1−ϑ)l2)dϑ |
+1n!∫10ϑn(1−ϑ)ρ−n−1Q(ϑl2+(1−ϑ)l1)eα[(1−ϑ)l1+ϑl2]dϑ |
=I1+I2 | (3.4) |
By setting u=ϑl1+(1−ϑ)l2, we have
I1=1n!∫10ϑn(1−ϑ)ρ−n−1Q(ϑl1+(1−ϑ)l2)eαQ(ϑl1+(1−ϑ)l2)dϑ |
=1n!(l2−l1)ρ∫l2l1(l2−1)n(u−l1)ρ−m−1Q(u)eαudu |
=1(l2−l1)ρJρl+1Q(l2)eαl2. | (3.5) |
Analogously, by setting v=ϑl2+(1−ϑ)l1, we have
I2=1n!∫10ϑn(1−ϑ)ρ−n−1Q(ϑl2+(1−ϑ)l1)dϑ |
=1n!(l2−l1)ρ∫l2l1(v−l1)n(l2−v)ρ−n−1Q(v)eαvdv |
=1(l2−l1)ρJρl−2Q(l1)eαl1. | (3.6) |
Thus by using (3.5) and (3.6) in (3.4), we get the first inequality of (3.1).
Consider
Q(ϑl1+(1−ϑ)l2)≤ϑ(1−ϑ)(Q(l1)eαl1+Q(l2)eαl2) |
and
Q(ϑl2+(1−ϑ)l1)≤ϑ(1−ϑ)(Q(l1)eαl1+Q(l2)eαl2). |
By adding
Q(ϑl1+(1−ϑ)l2)+Q(ϑl2+(1−ϑ)l1)≤2ϑ(1−ϑ)(Q(l1)eαl1+Q(l2)eαl2). | (3.7) |
If we multiply (3.7) by 1n!ϑn(1−ϑ)ρ−n−1 with ϑ∈(0,1),ρ>0 and then integrating the resulting inequality with respect to ϑ over [0,1], we get
1(l2−l1)ρ[Jρl+1Q(l2)eαl2+Jρl−2Q(l1)eαl1] |
≤2(n+1)Γ(ρ−n+1)Γ(ρ+3)(Q(l1)eαl1+Q(l2)eαl2), | (3.8) |
which is the required result.
Some special cases of above theorem are stated as follows:
Corollary 3.1. Choosing α=0, then Theorem 3.1 reduces to a new result
4Γ(ρ−n)Γ(ρ+1)Q(l1+l22) |
≤1(l2−l1)ρ[Jρl+1Q(l2)+Jρl−2Q(l1)] |
≤2(n+1)Γ(ρ−n+1)Γ(ρ+3)(Q(l1)+Q(l2)). |
Remark 3.1. Choosing ρ=n+1 and α=0, then Theorem 3.1 reduces to Theorem 3.1 in [19].
Our next result is the following lemma which plays a dominating role in proving our coming results.
Lemma 4.1. For ρ∈(n,n+1]) with ρ>0 and let Q:I⊂R→R be differentiable function on I∘(interior of I) with l1<l2 such that Q′∈L1([l1,l2]), then the following inequality holds:
B(n+1,ρ−n)(Q(l1)+Q(l2)2)−n!2(l2−l1)ρ[Jρl+1Q(l2)+Jρl−2Q(l1)] |
=∫10(B1−u(n+1,ρ−n)−Bu(n+1,ρ−n))Q′(ϑl1+(1−ϑ)l2)dϑ. | (4.1) |
Proof. It suffices that
∫10(B1−u(n+1,ρ−n)−Bu(n+1,ρ−n))Q′(ϑl1+(1−ϑ)l2)dϑ |
=∫10B1−u(n+1,ρ−n)Q′(ϑl1+(1−ϑ)l2)dϑ |
−∫10Bu(n+1,ρ−n)Q′(ϑl1+(1−ϑ)l2)dϑ |
=S1−S2 | (4.2) |
Then by integration by parts, we have
S1=∫10B1−u(n+1,ρ−n)Q′(ϑl1+(1−ϑ)l2)dϑ |
=∫10(∫1−u0vn(1−v)ρ−n−1dv)Q′(ϑl1+(1−ϑ)l2)dϑ |
=1l2−l1B(n+1,ρ−n)Q(l2) |
−1l2−l1∫10(1−u)nuρ−n−1Q(ϑl1+(1−ϑ)l2)dϑ |
=1l2−l1B(n+1,ρ−n)Q(l2) |
−1l2−l1∫l1l2(l1−zl1−l2)n(z−l2l1−l2)ρ−n−1Q(z)l1−l2dz |
=1l2−l1B(n+1,ρ−n)Q(l2)−n!(l2−l1)ρ+1Jρl−2Q(l1). | (4.3) |
Analogously
S2=∫10Bu(n+1,ρ−n)Q′(ϑl1+(1−ϑ)l2)dϑ |
=∫10(∫u0vm(1−v)ρ−n−1dv)Q′(ϑl1+(1−ϑ)l2)dϑ |
=−1l2−l1B(n+1,ρ−n)Q(l1) |
+1l2−l1∫10(u)n(1−u)ρ−n−1Q(ϑl1+(1−ϑ)l2)dϑ |
=−1l2−l1B(n+1,ρ−n)Q(l1) |
+1l2−l1∫l1l2(z−l2l1−l2)n(l1−zl1−l2)ρ−n−1Q(z)l1−l2dz |
=−1l2−l1B(n+1,ρ−n)Q(l1)−n!(l2−l1)ρ+1Jρl+1Q(l2). | (4.4) |
By substituting values of S1 and S2 in (4.2) and then If we multiply by l2−l12, we get (4.1).
For the sake of simplicity, we use the following notation:
ΥQ(ρ;B;n;l1,l2)=B(n+1,ρ−n)(Q(l1)+Q(l2)2)−n!2(l2−l1)ρ[Jρl+1Q(l2)+Jρl−2Q(l1)]. |
Theorem 4.2. For ρ∈(n,n+1]) with ρ>0 and let Q:I⊂R→R be a differentiable function on I∘ with l1<l2 such that Q′∈L1([l1,l2]). If | Q′|r, with r≥1, is an exponentially tgs-convex function, then the following inequality holds:
| ΥQ(ρ;B;n;l1,l2)|≤l2−l12(B(n+1,ρ−n+1)−B(n+1,ρ−n)+B(n+2,ρ−n))1−1r |
×(eαrl2|Q′(l1)|r+eαrl1|Q′(l2)|r6eαrl1eαrl2)1r. | (4.5) |
Proof. Utilizing exponentially tgs-convex function of | Q′|r, Lemma 4.1 and Hölder's inequality, one obtains
| ΥQ(ρ;B;n;l1,l2)| |
=| l2−l12∫10(B1−u(n+1,ρ−n)−Bu(n+1,ρ−n))Q′(ϑl1+(1−ϑ)l2)dϑ| |
≤l2−l12(∫10(B1−u(n+1,ρ−n)−Bu(n+1,ρ−n))dϑ)1−1r |
×(∫10| Q′(ϑl1+(1−ϑ)l2)|rdϑ)1r |
≤l2−l12(B(n+1,ρ−n+1)−B(n+1,ρ−n)+B(n+2,ρ−n))1−1r |
×(∫10ϑ(1−ϑ)(| Q′(l1)eαl1|r+| Q′(l2)eαl2|r)dϑ)1r |
≤l2−l12(B(n+1,ρ−n+1)−B(n+1,ρ−n)+B(n+2,ρ−n))1−1r |
×(eαrl2|Q′(l1)|r+eαrl1|Q′(l2)|r6eαrl1eαrl2)1r, | (4.6) |
which is the required result.
Theorem 4.3. For ρ∈(n,n+1] with ρ>0 and let Q:I⊂R→R be a differentiable function on I∘ with l1<l2 such that Q′∈L1([l1,l2]). If |Q′|r, with r,s>1 such that 1s+1r=1, is exponentially tgs-convex function, then the following inequality holds:
| ΥQ(ρ;B;n;l1,l2)|≤l2−l12(2∫120(∫1−uuvn(1−v)ρ−n−1dv)sdu)1s |
×(eαrl2|Q′(l1)|r+eαrl1|Q′(l2)|r6eαrl1eαrl2)1r. | (4.7) |
Proof. Utilizing exponentially tgs-convex function of | Q′|r and well-known Hölder inequality, one obtains
| ΥQ(ρ;B;n;l1,l2)| |
=| l2−l12∫10(B1−u(n+1,ρ−n)−Bu(n+1,ρ−n))Q′(ϑl1+(1−ϑ)l2)dϑ| |
≤l2−l12(∫10| B1−u(n+1,ρ−n)−Bn(n+1,ρ−n)|sdϑ)1s |
×(∫10| Q′(ϑl1+(1−ϑ)l2)|rdϑ)1r |
≤l2−l12(∫120(B1−u(n+1,ρ−n)−Bu(n+1,ρ−n))sdu |
+∫112(Bu(n+1,ρ−n)−B1−u(n+1,ρ−n))sdu)1s(∫10ϑ(1−ϑ)(| Q′(l1)|reαrl1+| Q′(l2)|qeαrl2)dϑ)1r |
=l2−l12(∫120(∫1−uuvn(1−v)ρ−n−1dv)sdv+∫112(∫u1−uvn(1−v)ρ−n−1dv)sdv)1s |
×(eαrl2|Q′(l1)|r+eαrl1|Q′(l2)|r6eαrl1eαrl2)1r |
=l2−l12(2∫120(∫1−uuvn(1−v)ρ−n−1dv)sdu)1s(eαrl2|Q′(l1)|r+eαrl1|Q′(l2)|r6eαrl1eαrl2)1r, | (4.8) |
which is the required result.
This section is devoted to proving some new generalizations for exponentially tgs-convex functions within the generalized conformable integral operator.
Theorem 5.1. For ρ>0 and let Q:[l1,l2]⊂R→R be an exponentially tgs-convex function such that Q∈L1[l1,l2], then the following inequality holds:
4δρδQ(l1+l22)≤Γ(δ)(l2−l1)ρδ[Jρ,δl+1Q(l2)eαl2+Jρ,δl−2Q(l1)eαl1] |
≤1ρ[B(ρ+1ρ,δ)+B(ρ+2ρ,δ)](Q(l1)eαl1+Q(l2)eαl2). | (5.1) |
Proof. Taking into account (3.3) and conducting product of (3.3) by (1−ϑρρ)δ−1ϑρ−1 with ϑ∈(0,1),ρ>0 and then integrating the resulting estimate with respect to ϑ over [0,1], we find
4Q(l1+l22)∫10(1−ϑρρ)δ−1ϑρ−1dϑ |
≤∫10(1−ϑρρ)δ−1ϑρ−1Q(ϑl1+(1−ϑ)l2)eα(ϑl1+(1−ϑ)l2)dϑ |
+∫10(1−ϑρρ)δ−1ϑρ−1Q(ϑl2+(1−ϑ)l1)eα(ϑl2+(1−ϑ)l1)dϑ |
=R1+R2. | (5.2) |
By making change of variable u=ϑl1+(1−ϑ)l2, we have
R1=∫10(1−ϑρρ)δ−1ϑρ−1Q(ϑl1+(1−ϑ)l2)eα(ϑl1+(1−ϑ)l2)dϑ |
=∫l1l2(1−(u−l2l1−l2)ρρ)δ−1(u−l2l1−l2)ρ−1Q(u)eαudul1−l2 |
=1(l2−l1)ρδ∫l2l1((l2−l1)ρ−(l2−u)ρρ)δ−1(l2−u)ρ−1Q(u)eαudu |
=Γ(δ(l2−l1)ρδJρ,δl−2Q(l1)eαl1. | (5.3) |
Substituting v=ϑl2+(1−ϑ)l1, we have
R2=∫10(1−ϑρρ)δ−1ϑρ−1Q(ϑl2+(1−ϑ)l1)eα(ϑl2+(1−ϑ)l1)dϑ |
=∫l1l2(1−(v−l1l2−l1)ρρ)δ−1(v−l1l2−l1)ρ−1Q(v)eαvdul2−l1 |
=1(l2−l1)ρδ∫l2l1((l2−l1)ρ−(v−l1)ρρ)δ−1(v−l1)ρ−1Q(v)eαvdv |
=Γ(δ)(l2−l1)ρQJρ,δl−2Q(l2)eαl2. | (5.4) |
Thus by using (5.2) and (5.3) in (5.4), we get the first inequality of (5.1).
Consider
Q(ϑl1+(1−ϑ)l2)≤ϑ(1−ϑ)(Q(l1)eαl1+Q(l2)eαl2) |
and
Q(ϑl2+(1−ϑ)l1)≤ϑ(1−ϑ)(Q(l1)eαl1+Q(l2)eαl2). |
By adding
Q(ϑl1+(1−ϑ)l2)+Q(ϑl2+(1−ϑ)l1)≤2ϑ(1−ϑ)(Q(l1)eαl1+Q(l2)eαl2). | (5.5) |
If we multiply (5.5) by (1−ϑρρ)δ−1ϑρ−1 with ϑ∈(0,1),ρ>0 and then integrating the resulting estimate with respect to ϑ over [0,1], we get
Γ(δ)(l2−l1)ρδ[Jρ,δl+1Q(l2)eαl2+Jρ,δl−2Q(l1)eαl1] |
≤1ρ[B(ρ+1ρ,δ)+B(ρ+2ρ,δ)](Q(l1)eαl1+Q(l2)eαl2), | (5.6) |
the desired inequality is the right hand side of (5.1).
Our main results depend on the following identity.
Lemma 5.2. For ρ>0 and let Q:I⊂R→R be a differentiable function on (l1,l2) with l1<l2 such that Q′∈L1[l1,l2], then the following identity holds:
(Q(l1)+Q(l2)2)−ρδΓ(δ+1)2(l2−l1)ρδ[Jρ,δl+1Q(l2)+Jρ,δl+2Q(l1)] |
=(l2−l1)ρδ2∫10[(1−ϑρρ)δ−(1−(1−ϑ)ρρ)δ]Q′(ϑl1+(1−ϑ)l2)dϑ. | (5.7) |
Proof. It suffices that
∫10[(1−ϑρρ)δ−(1−(1−ϑ)ρρ)δ]Q′(ϑl1+(1−ϑ)l2)dϑ |
=∫10(1−ϑρρ)δQ′(ϑl1+(1−ϑ)l2)dϑ−(1−(1−ϑ)ρρ)δQ′(ϑl1+(1−ϑ)l2)dϑ |
=M1−M2. | (5.8) |
Using integration by parts and making change of variable technique, we have
M1=∫10(1−ϑρρ)δQ′(ϑl1+(1−ϑ)l2)dϑ |
=1l1−l2(1−ϑρρ)δQ(ϑl1+(1−ϑ)l2)dϑ|10 |
+δl1−l2∫10(1−ϑρρ)δ−1ϑρ−1Q(ϑl1+(1−ϑ)l2)dϑ |
=Q(l2)(l2−l1)ρδ−δl2−l1∫10(1−ϑρρ)δ−1ϑρ−1Q(ϑl1+(1−ϑ)l2)dϑ |
=Q(l2)(l2−l1)ρδ−δΓ(δ)(l2−l1)ρδ+1Jρ,δl−2Q(l1) |
Analogously
M2=∫10(1−(1−ϑ)ρρ)δQ′(ϑl1+(1−ϑ)l2)dϑ |
=1l1−l2(1−(1−ϑ)ρρ)δQ(ϑl1+(1−ϑ)l2)|10 |
−1l1−l2∫10Q(1−(1−ϑ)ρρ)δ−1(1−ϑ)ρ−1Q(ϑl1+(1−ϑ)l2)dϑ |
=−Q(l1)(l2−l1)ρδ+δl2−l1∫10(1−(1−ϑ)ρρ)δ−1(1−ϑ)ρ−1Q(ϑl1+(1−ϑ)l2)dϑ |
=−Q(l1)(l2−l1)ρδ+δΓ(δ)(l2−l1)ρδ+1Jρ,δl+1Q(l2). | (5.9) |
By substituting values of M1 and M2 in (5.8) and then conducting product on both sides by (l2−l1)ρδ2, we get the desired result.
Theorem 5.3. For ρ>0 and let Q:I⊂R→R be a differentiable function on I∘ with l1<l2 such that Q′∈L1([l1,l2]). If | Q′|r, with r≥1, is an exponentially tgs-convex function, then the following inequality holds
|(Q(l1)+Q(l2)2)−ρδΓ(δ+1)2(l2−l1)ρδ[Jρ,δl+1Q(l2)+Jρ,δl+2Q(l1)]| |
≤(l2−l1)ρδ2(1ρδ+1B(1ρ,δ+1)+1ρδ+2B(1ρ2,δ+1))1−1r(eαrl2|Q′(l1)|r+eαrl1|Q′(l2)|r6eαrl1eαrl2)1r. | (5.10) |
Proof. Using exponentially tgs-convexity of | Q′|r, Lemma 5.2, and the well-known Hölder inequality, we have
|(Q(l1)+Q(l2)2)−ρδΓ(δ+1)2(l2−l1)ρδ[Jρ,δl+1Q(l2)+Jρ,δl+2Q(l1)]| |
=| (l2−l1)ρδ2∫10[(1−ϑρρ)δ−(1−(1−ϑ)ρρ)δ]Q′(ϑl1+(1−ϑ)l2)dϑ |
≤(l2−l1)ρδ2(∫10[(1−ϑρρ)δ−(1−(1−ϑ)ρρ)δ]dϑ)1−1r |
×(∫10| Q′(ϑl1+(1−ϑ)l2)|rdϑ)1r |
≤(l2−l1)ρδ2(∫10(1−ϑρρ)δdϑ−∫10(1−(1−ϑ)ρρ)δdϑ)1−1r |
×(∫10ϑ(1−ϑ)(| Q′(l1)|reαrl1+| Q′(l2)|reαrl2)dϑ)1r |
=(l2−l1)ρδ2(1ρδ+1B(1ρ,δ+1)+1ρδ+2B(1ρ2,δ+1))1−1r(eαrl2|Q′(l1)|r+eαrl1|Q′(l2)|r6eαrl1eαrl2)1r, |
the required result.
Let l1,l2>0 with l1≠l2. Then the arithmetic mean A(l1,l2), harmonic mean H(l1,l2), logarithmic mean L(l1,l2) and n-th generalized logarithmic mean Ln(l1,l2) are defined by
A(l1,l2)=l1+l22, |
G(l1,l2)=√l1l2, |
L(l1,l2)=l2−l1lnl2−lnl1 |
and
Ln(l1,l2)=[ln+12−ln+11(n+1)(l2−l1)]1n(n≠0,−1), |
respectively. Recently, the bivariate means have attracted the attention of many researchers [47,48,49,50,51,52,53,54,55,56,57,58] due to their are closely related to the special functions.
In this section, we use our obtained results in section 5 to provide several novel inequalities involving the special bivariate means mentioned above.
Proposition 6.1. Let l1,l2>0 with l2>l1. Then
|A(l21,l22)−12L33(l1,l2)|≤l2−l1(6)1reα(l1+l2)[(eαl2l1)r+(eαl1l2)r]1r. |
Proof. Let ρ=δ=1 and Q(z)=z2. Then the desired result follows from Theorem 5.3.
Proposition 6.2. Let l1,l2>0 with l2>l1. Then
|H−1(l21,l22)−12L−1(l1,l2)|≤l2−l12(6)1reα(l1+l2)[(eαl2l22)r+(eαl1l21)r(l1l2)2r]1r. |
Proof. Let ρ=δ=1 and Q(z)=1z. Then the desired result follows from Theorem 5.3.
Proposition 6.3. Let l1,l2>0 with l2>l1. Then
|A(ln1,ln2)−12Lnn(l1,l2)|≤(l2−l1)|n|2[(eαl2ln−11)r+(eαl1ln−12)r6eαr(l1+l2)]1r. |
Proof. Let ρ=δ=1 and Q(z)=zn. Then the desired result follows from Theorem 5.3.
In this paper, we proposed a novel technique with two different approaches for deriving several generalizations for an exponentially tgs-convex function that accelerates with a conformable integral operator. We have generalized the Hermite-Hadamard type inequalities for exponentially tgs-convex functions. By choosing different parametric values ρ and δ, we analyzed the convergence behavior of our proposed methods in form of corollaries. Another aspect is that to show the effectiveness of our novel generalizations, our results have potential applications in fractional integrodifferential and fractional Schrödinger equations. Numerical applications show that our findings are consistent and efficient. Finally, we remark that the framework of the conformable fractional integral operator, it is of interest to further our results to the framework of Riemann-Liouville, Hadamard and Katugampola fractional integral operators. Our ideas and the approach may lead to a lot of follow-up research.
The authors would like to thank the anonymous referees for their valuable comments and suggestions, which led to considerable improvement of the article.
The work was supported by the Natural Science Foundation of China (Grant Nos. 61673169, 11971142, 11701176, 11626101, 11601485).
The authors declare no conflict of interest.
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