The present article is a theoretical contribution suggesting a simple model of the dynamics involved in the development of neurodevelopmental disorders and the phenomenon of autism offering an explanation of why different individuals have different onset of manifest disease. The model relates to present genetic and epigenetic evidence and previous theoretical models. The dynamic model applies an individualized transdiagnostic and dimensional approach integrating several levels of influence involved in the dynamic interaction between an individual and their environment across time. The dynamic model illustrates the interaction between a basic neurobiological susceptibility, compensating mechanisms, and stress-related releasing mechanisms involved in the development of manifest clinical illness. The model has a particular focus on the dynamics of neurocognitive processes and their relationship to more basic information, psychological and social processes. A basic assumption guiding the model is that even quite normal events related to typical development may increase the risk of enduring stress in cognitively vulnerable individuals, further increasing their risk of developing manifest clinical illness. The model suggests that genetic variation, endogenous epigenetic processes of development, and epigenetic changes influenced by physical/chemical and social environmental risk and resilience factors all may contribute to phenotypical expression. A genetic susceptibility may translate into a biological susceptibility reflected in cognitive impairments. A cognitively vulnerable individual may be at increased risk of misinterpreting sensory inputs, potentially resulting in psychopathological expressions, e.g., autistic symptoms, observed across several neurodevelopmental disorders. The genetically influenced experience of an individual relates to cognitive phenomena occurring at the interfaces between the brain, mind, and society. The severity of clinical illness may differ from the severity of a disorder of reasoning. The dynamic model may help guide future development of personalized medicine in psychiatry and identify relevant points of intervention. A discussion of the implications of the model relating to epigenetic evidence and to previous theoretical models is included at the end of the paper.
Citation: Bodil Aggernæs. Suggestion of a dynamic model of the development of neurodevelopmental disorders and the phenomenon of autism[J]. AIMS Molecular Science, 2020, 7(2): 122-182. doi: 10.3934/molsci.2020008
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The present article is a theoretical contribution suggesting a simple model of the dynamics involved in the development of neurodevelopmental disorders and the phenomenon of autism offering an explanation of why different individuals have different onset of manifest disease. The model relates to present genetic and epigenetic evidence and previous theoretical models. The dynamic model applies an individualized transdiagnostic and dimensional approach integrating several levels of influence involved in the dynamic interaction between an individual and their environment across time. The dynamic model illustrates the interaction between a basic neurobiological susceptibility, compensating mechanisms, and stress-related releasing mechanisms involved in the development of manifest clinical illness. The model has a particular focus on the dynamics of neurocognitive processes and their relationship to more basic information, psychological and social processes. A basic assumption guiding the model is that even quite normal events related to typical development may increase the risk of enduring stress in cognitively vulnerable individuals, further increasing their risk of developing manifest clinical illness. The model suggests that genetic variation, endogenous epigenetic processes of development, and epigenetic changes influenced by physical/chemical and social environmental risk and resilience factors all may contribute to phenotypical expression. A genetic susceptibility may translate into a biological susceptibility reflected in cognitive impairments. A cognitively vulnerable individual may be at increased risk of misinterpreting sensory inputs, potentially resulting in psychopathological expressions, e.g., autistic symptoms, observed across several neurodevelopmental disorders. The genetically influenced experience of an individual relates to cognitive phenomena occurring at the interfaces between the brain, mind, and society. The severity of clinical illness may differ from the severity of a disorder of reasoning. The dynamic model may help guide future development of personalized medicine in psychiatry and identify relevant points of intervention. A discussion of the implications of the model relating to epigenetic evidence and to previous theoretical models is included at the end of the paper.
The following inequality is named the Simpson's integral inequality:
|16[φ(ε)+4φ(ε+ζ2)+φ(ζ)]−1ζ−εζ∫εφ(t)dt|≤‖φ(4)‖∞(ζ−ε)4, | (1.1) |
where φ:[ε,ζ]→R is a four-order differentiable mapping on (ε,ζ) and ‖φ(4)‖∞=supt∈(ε,ζ)|φ(4)(t)|<∞.
Considering the Simpson-type inequality via mappings of different classes, many results involving the ordinary integrals can be found in [1,3,4,5,18,19] and the references therein.
Definition 1.1. A set Ω⊆Rn is named as invex set with respect to the mapping η:Ω×Ω→Rn, if
ε+η(ζ,ε)∈Ω |
holds, for all ε,ζ∈Ω and θ∈[0,1].
Definition 1.2. A mapping φ:Ω→R is called preinvex respecting η, if
φ(ε+η(ζ,ε))≤(1−θ)φ(ε)+θφ(ζ), |
holds for all ε,ζ∈Ω and θ∈[0,1].
The preinvex function is an important substantive generalization of the convex function. For the properties, applications, integral inequalities and other aspects of preinvex functions, see [5,7,8,9,10,11,12,13,14] and the references therein.
Definition 1.3. Let s∈(0,1) and a mapping φ:Ω→R is called s-preinvex respecting η, if
φ(ε+η(ζ,ε))≤(1−θs)φ(ε)+θsφ(ζ), |
holds for all ε,ζ∈Ω and θ∈[0,1].
Fractional calculus has recently been the focus of mathematics and many related sciences. In addition to defining new integral-derivative operators and their properties, many researchers have achieved important results in applied mathematics, engineering and statistics. It is appropriate for the reader to review articles [2,15,16,17] for some recent studies. We end this section by reciting a well known κ-fractional integral operators in the literature.
Definition 1.4. ([6]) Let φ∈L[ε,ζ], the κ-fractional integrals Jα,κε+ and Jα,κζ− of order α>0 are defined by
Jα,κε+=1κΓκ(α)x∫ε(x−θ)ακ−1φ(θ)dθ,(0≤α<x<ζ) | (1.2) |
and
Jα,κζ+=1κΓκ(α)ζ∫x(θ−x)ακ−1φ(θ)dθ,(0≤α<x<ζ), | (1.3) |
respectively, where κ>0, and Γκ is the κ-gamma function defined as Γκ(x):=∞∫0θx−1e−θκκdθ,ℜ(x)>0, with the properties Γκ(x+κ)=xΓκ(x) and Γκ(κ)=1.
This paper aims to obtain estimation type results of Simpson-type inequality related to κ- fractional integral operators. Next, we derive the results with the boundedness of the derivative and with a Lipschitzian condition for the derivative of the considered mapping to derive integral inequalities with new bounds. Application of our results to random variables are also provided.
Throughout of this work, let Ω⊆R be an open subset respecting η:Ω×Ω→R∖{0} and ε,ζ∈Ω with ε<ζ.
To prove our results, we obtain a new integral identity as following:
Lemma 2.1. Let φ:Ω=[ε+η(ζ,ε)]→R be a differentiable function on (ε+η(ζ,ε)) with η(ζ,ε)>0. If φ′∈L[ε,ε+η(ζ,ε)],n≥0 and α,κ>0, then the following identity holds:
Ψ(ε,ζ;n,α,κ):=η(ζ,ε)2(n+1)[1∫0(2(1−θ)ακ−θακ3)φ′(ε+1−θn+1η(ζ,ε))dθ+1∫0(θακ−2(1−θ)ακ3)]φ′(ε+n+θn+1η(ζ,ε))dθ], | (2.1) |
where
Ψ(ε,ζ;n,α,κ):=16[φ(ε)+φ(ε+η(ζ,ε))+2φ(ε+1n+1η(ζ,ε))+2φ(ε+nn+1η(ζ,ε))−Γκ(α+κ)(n+1)ακ6(η(ζ,ε))ακ[Jα,κ(ε)+φ(a+1n+1η(ζ,ε))]+Jα,κ(ε+η(ζ,ε))−φ(ε+nn+1η(ζ,ε))]−Γκ(α+κ)(n+1)ακ3(η(ζ,ε))ακ[Jα,κ(ε+nn+1η(ζ,ε))+φ(ε+η(ζ,ε))+Jα,κ(ε+1n+1η(ζ,ε))+φ(ε)]]. |
Proof. Integration by parts, one can have
I1=1∫0(2(1−θ)ακ−θακ3)φ′(ε+1−θn+1η(ζ,ε))dθ=n+13η(ζ,ε)φ(ε)+2(n+1)3η(ζ,ε)φ(ε+1n+1η(ζ,ε))−α(n+1)ακ+13κ(η(ζ,ε))ακ+1ε+1n+1η(ζ,ε)∫ε(ε+1n+1η(ζ,ε)−x)ακ−1φ(x)dx−2α(n+1)ακ+13κ(η(ζ,ε))ακε+1n+1η(ζ,ε)∫ε(x−ε)ακ−1φ(x)dx |
and
I2=1∫0(θακ−2(1−θ)ακ3)]φ′(ε+n+θn+1η(ζ,ε))dθ=n+13(η(ζ,ε))φ(ε+η(ζ,ε))+2(n+1)3η(ζ,ε)φ(ε+nn+1η(ζ,ε))−α(n+1)ακ+13κ(η(ζ,ε))ακ+1ε+η(ζ,ε)∫ε+nn+1η(ζ,ε)(x−(ε+nn+1η(ζ,ε)))ακ−1φ(x)dx−α(n+1)ακ+13κ(η(ζ,ε))ακ+1ε+η(ζ,ε)∫ε+nn+1η(ζ,ε)((ε+η(ζ,ε))−x)ακ−1φ(x)dx. |
By adding I1 and I2 and multiplying the both sides η(ζ,ε)2(n+1), we can write
I1+I2=16[φ(ε)+φ(ε+η(ζ,ε))+2φ(ε+1n+1η(ζ,ε))+2φ(ε+nn+1η(ζ,ε))]−α(n+1)ακ6κ(η(ζ,ε))ακ[ε+1n+1η(ζ,ε)∫ε(ε+1n+1η(ζ,ε))ακ−1φ(x)dx+ε+η(ζ,ε)∫ε+nn+1η(ζ,ε)(x−(ε+nn+1η(ζ,ε)))ακ−1φ(x)dx]−α(n+1)ακ3κ(η(ζ,ε))ακ[ε+nn+1η(ζ,ε)∫ε(ε+η(ζ,ε)−x)ακ−1φ(x)dx+ε+1n+1η(ζ,ε)∫ε(x−ε)ακ−1φ(x)dx]. |
Using the fact that
1κΓκ(α)ε+1n+1η(ζ,ε)∫ε(x−ε)ακ−1φ(x)dx=Jα,κ(ε+1n+1η(ζ,ε))−φ(ε),1κΓκ(α)ε+η(ζ,ε)∫ε+nn+1η(ζ,ε)(ε+η(ζ,ε)−x)ακ−1φ(x)dx=Jα,κ(ε+nn+1η(ζ,ε))+φ(ε+η(ζ,ε)),1κΓκ(α)ε+1n+1η(ζ,ε)∫ε(ε+1n+1η(ζ,ε)−x)ακ−1φ(x)dx=Jα,κ(ε)+φ(ε+1n+1η(ζ,ε)),1κΓκ(α)ε+η(ζ,ε)∫ε+nn+1η(ζ,ε)(x−(ε+1n+1η(ζ,ε)))ακ−1φ(x)dx=Jα,κ(ε+η(ζ,ε))−φ(ε+nn+1η(ζ,ε)), |
we get the result.
Remark 2.1. If we choose η(ζ,ε)=ζ−ε with κ=1, then under the assumption of Lemma 2.1 one has Lemma 2.1 in [19].
Theorem 2.2. Let φ:Ω=[ε,ε+η(ζ,ε)]→R be a differentiable function on Ω. If φ′∈L[ε,ε+η(ζ,ε)]and |φ′|λ for λ>1 with μ−1+λ−1=1 is s-preinvex function, then the following inequality holds for fractional integrals with α,κ>0, then the following integral inequality holds:
|Ψ(ε,ζ;n,α,κ)|≤η(ζ,ε)2(n+1)(1∫0|2(1−θ)ακ−θακ3|μdθ)1μ×[[(1−1(n+1)s(s+1)|φ′(ε)|λ+1(n+1)s(s+1)|φ′(ζ)|λ)]1λ+[1(n+1)s(s+1)|φ′(ε)|λ+(21−s−1(n+1)s(s+1))|φ′(ζ)|λ]1λ]. | (2.2) |
Proof. From the integral identity given in Lemma 2.1, the H¨older integral inequality and the s-preinvexity of |φ′(x)|λ, we have
|Ψ(ε,ζ;n,α,κ)|≤η(ζ,ε)2(n+1)[1∫0|(2(1−θ)ακ−θακ3)||φ′(ε+1−θn+1η(ζ,ε))|dθ+|1∫0(θακ−2(1−θ)ακ3)||φ′(ε+n+θn+1η(ζ,ε))|dθ]≤η(ζ,ε)2(n+1)[(1∫0|(2(1−θ)ακ−θακ3)|μdθ)1μ×[1∫0((1−(1−θn+1)s)|φ′(ε)|λ+(1−θn+1)s|φ′(ζ)|λ)dθ]1λ+(1∫0|(θακ−2(1−θ)ακ3)|μdθ)1μ[1∫0((1−(n+θn+1)s)|φ′(ε)|λ+(n+θn+1)s|φ′(ζ)|λ)dθ]1λ]. | (2.3) |
Using the fact that 1−χs≤(1−χ)s≤21−s−χs for χ∈[0,1] with s∈(0,1], we have
1∫0(1−(n+θn+1)s|φ′(ε)|λ+(n+θn+1)|φ′(ζ)|λ)dθ≤1∫0[(1−θn+1)|φ′(ε)|λ+(21−s−(1−θn+1)s)|φ′(ζ)|λ]dθ=1(n+1)s(s+1)|φ′(ε)|λ+(21−s−1(n+1)s(s+1))|φ′(ζ)|λ | (2.4) |
and
1∫0[(1−(1−θn+1)s)|φ′(ε)|λ+(1−θn+1)s|φ′(ζ)|λ]dθ=(1−1(n+1)s(s+1)|φ′(ε)|λ+1(n+1)s(s+1)|φ′(ζ)|λ). | (2.5) |
Remark 2.2. If we choose η(ζ,ε)=ζ−ε with κ=1, then under the assumption of Theorem 2.2, one has Theorem 2.3 in [19].
Corollary 2.1. If we choose α=κ=1, and n=s=1, then under the assumption of Theoremm 2.2 we have
|16[φ(ε)+4φ(2ε+η(ζ,ε)2)+φ(ε+η(ζ,ε))]−1η(ζ,ε)ε+η(ζ,ε)∫εφ(x)dx|≤η(ζ,ε)4[1+2μ+13μ+1(μ+1)]1μ[(34)1λ+(14)1λ][|φ′(ε)|+|φ′(ζ)|]. |
Corollary 2.2. If we choose η(ζ,ε)=ζ−ε with α=κ=1, and n=s=1, then under the assumption of Theoremm 2.2 we have
|16[φ(ε)+4φ(ε+ζ2)+φ(ζ)]−1ζ−εζ∫εφ(x)dx|≤ζ−ε4[1+2μ+13μ+1(μ+1)]1μ[(34)1λ+(14)1λ][|φ′(ε)|+|φ′(ζ)|]. |
Proof. The proof of the last inequality is obtained by using the fact that
n∑i=1(ωi+νi)j≤n∑i=1(ωi)j+n∑i=1(νi)j |
for 0≤j≤1,ω1,ω2,ω3,...,ωn≥0;ν1,ν2,ν3,...,νn≥0.
Theorem 2.3. Let φ:Ω=[ε,ε+η(ζ,ε)]→R be a differentiable function on Ω. If φ′∈L[ε,ε+η(ζ,ε)]and |φ′| is s-preinvex function, then the following inequality holds for fractional integrals with α,κ>0, then the following integral inequality holds:
|Ψ(ε,ζ;n,α,κ)|≤η(ζ,ε)2(n+1){(Δ1+Δ3)|φ′(ε)|+(Δ1+Δ2)|φ′(ζ)|}, | (2.6) |
where
Δ1=2−4(1−2κα2κα+1)ακ+s+13(n+1)s(ακ+s+1)+13(n+1)s[β(ακ+1,s+1)−2β(2κα2κα+1;ακ+1,s+1)], |
Δ2=21−s{3−2(2κα2ακ+1)ακ+1−4(1−2κα2ακ+1)ακ+1}3(ακ+1)−2−4(1−2κα2κα+1)ακ+s+13(n+1)s(ακ+s+1)+13(n+1)s[2β(2κα2ακ+1;ακ+1,s+1)−β(ακ+1,s+1)] |
and
Δ3={3−2(2κα2ακ+1)ακ+1−4(1−2κα2ακ+1)ακ+1}3(ακ+1)−2−4(1−2κα2κα+1)ακ+s+13(n+1)s(ακ+s+1)+13(n+1)s[2β(2κα2ακ+1;ακ+1,s+1)−β(ακ+1,s+1)]. |
Proof. From Lemma 2.1 and using the s-preinvexity of |φ′(x)|, we have
|Ψ(ε,ζ;n,α,κ)|≤η(ζ,ε)2(n+1)[1∫0|2(1−θ)ακ−θακ3|[(1−(1−θn+1)s)|φ′(ε)|+(1−θn+1)s|φ′(ζ)|]dθ+1∫0|θακ−2(1−θ)ακ3|[(1−(n+θn+1)s)|φ′(ε)|+(n+θn+1)s|φ′(ζ)|]dθ] | (2.7) |
From (2.7), we have
1∫0|θακ−2(1−θ)ακ3|[(1−(n+θn+1)s)|φ′(ε)|+(n+θn+1)s|φ′(ζ)|]dθ≤|φ′(ε)|1∫0|θακ−2(1−θ)ακ3|(1−θn+1)sdθ+|φ′(ζ)|1∫0|θακ−2(1−θ)ακ3|(21−s−1−θn+1)sdθ, | (2.8) |
By taking into account
Δ1=1∫0|θακ−2(1−θ)ακ3|(1−θn+1)sdθ=2−4(1−2κα2κα+1)ακ+s+13(n+1)s(ακ+s+1)+13(n+1)s[β(ακ+1,s+1)−2β(2κα2κα+1;ακ+1,s+1)], | (2.9) |
Δ2=1∫0|θακ−2(1−θ)ακ3|(21−s−1−θn+1)sdθ=21−s{3−2(2κα2ακ+1)ακ+1−4(1−2κα2ακ+1)ακ+1}3(ακ+1)−2−4(1−2κα2κα+1)ακ+s+13(n+1)s(ακ+s+1)+13(n+1)s[2β(2κα2ακ+1;ακ+1,s+1)−β(ακ+1,s+1)] | (2.10) |
and
Δ3=1∫0|θακ−2(1−θ)ακ3|(1−1−θn+1)sdθ={3−2(2κα2ακ+1)ακ+1−4(1−2κα2ακ+1)ακ+1}3(ακ+1)−2−4(1−2κα2κα+1)ακ+s+13(n+1)s(ακ+s+1)+13(n+1)s[2β(2κα2ακ+1;ακ+1,s+1)−β(ακ+1,s+1)], | (2.11) |
Theorem 2.4. Let φ:Ω=[ε,ε+η(ζ,ε)]→R be a differentiable function on Ω. If φ′∈L[ε,ε+η(ζ,ε)]and |φ′| is s-preinvex function, then the following inequality holds for fractional integrals with α,κ>0, then the following integral inequality holds:
|Ψ(ε,ζ;n,α,κ)|≤η(ζ,ε)2(n+1)(Δ0)1−1λ{(Δ1|φ′(ε)|λ+Δ3|φ′(ζ)|λ)1λ+(Δ1|φ′(ε)|λ+Δ2|φ′(ζ)|λ)1λ}, | (2.12) |
where
Δ0={3−2(2κα2ακ+1)ακ+1−4(1−2κα2ακ+1)ακ+1}3(ακ+1). |
Proof. By using Lemma 2.1 and the H¨older's integral inequality for λ>1 we have
|Ψ(ε,ζ;n,α,κ)|≤η(ζ,ε)2(n+1)[(1∫0|2(1−θ)ακ−θακ3|dθ)1−1λ×[1∫0|2(1−θ)ακ−θακ3||φ′(ε+1−θn+1η(ζ,ε))|λdθ)1λ+1∫0|θακ−2(1−θ)ακ3||φ′(ε+n+θn+1η(ζ,ε))|λdθ)1λ] |
Using s-preinvexity of |φ′|, we get
|Ψ(ε,ζ;n,α,κ)|≤η(ζ,ε)2(n+1)[(1∫0|2(1−θ)ακ−θακ3|dθ)1−1λ×[1∫0|2(1−θ)ακ−θακ3|[((1−(1−θn+1)s)|φ′(ε)|λ+(1−θn+1)λ|φ′(ζ)|λ)dθ]1λ+1∫0|θακ−2(1−θ)ακ3|[((1−(n+θn+1)s)|φ′(ε)|λ+(n+θn+1)λ|φ′(ζ)|λ)dθ]1λ,] | (2.13) |
using the fact that
Δ0=1∫0|2(1−θ)ακ−θακ3|dθ={3−2(2κα2ακ+1)ακ+1−4(1−2κα2ακ+1)ακ+1}3(ακ+1). | (2.14) |
A combination of (2.9)–(2.11) with (2.14) into (2.13) gives the desired inequality (2.12). The proof is completed.
Corollary 2.3. If we take n=s=1 and α=κ=1, then under the assumption of Theorem 2.4, we have
|16(φ(ε)+4φ(2ε+η(ζ,ε)2)+φ(ε+η(ζ,ε)))−1η(ζ,ε)ε+η(ζ,ε)∫εφ(x)dx|≤η(ζ,ε)4(518)1−1λ[(61324)1λ+(29324)1λ][|φ′(ε)|+|φ′(ζ)|]. |
Corollary 2.4. If we take η(ζ,ε)=ζ−ε with n=s=1 and α=κ=1, then under the assumption of Theorem 2.4, we have
|16(φ(ε)+4φ(ε+ζ2)+φ(ζ))−1ζ−εζ∫εφ(x)dx|≤ζ−ε4(518)1−1λ[(61324)1λ+(29324)1λ][|φ′(ε)|+|φ′(ζ)|]. |
Remark 2.3. If we take η(ζ,ε)=ζ−ε with λ=1 and κ=s=1, then Theorem 2.4 reduces to Theorem 2.2 in [19].
Remark 2.4. If we take η(ζ,ε)=ζ−ε with λ=1, κ=s=1, and α=n=1 then Theorem 2.4 reduces to Corollary 1 in [18].
For deriving further results, we deal with the boundedness and the Lipschitzian condition of φ′.
Theorem 2.5. Let φ:Ω=[ε,ε+η(ζ,ε)]→R be a differentiable function on Ω. If |φ′| is s-preinvex function, there exists constants m<M satisfying that ∞<m≤φ′(x)≤M<∞ for all x∈[ε,ε+η(ζ,ε)] and α,κ>0, and n≥0, then the following integral inequality holds:
|Ψ(ε,ζ;n,α,κ)|≤(M−m)η(ζ,ε)2(n+1)Δ0, | (2.15) |
where Δ0 given in (2.14).
Proof. From Lemma 2.1, we have
Ψ(ε,ζ;n,α,κ)|=η(ζ,ε)2(n+1)[1∫0(2(1−θ)ακ−θακ3)(φ′(ε+1−θn+1η(ζ,ε))−m+M2)dθ+1∫0(θακ−2(1−θ)ακ3)(φ′(ε+n+θn+1η(ζ,ε))−m+M2)dθ] | (2.16) |
Using the fact that m−m+M2≤φ′(ε+1−θn+1η(ζ,ε))−m+M2≤M−m+M2, one has
|φ′(ε+1−θn+1η(ζ,ε))−m+M2|≤M−m2, |
similarly,
|φ′(ε+n+θn+1η(ζ,ε))−m+M2|≤M−m2, |
Inequality (2.16) implies that
|Ψ(ε,ζ;n,α,κ)|≤(M−m)η(ζ,ε)2(n+1)1∫0|2(1−θ)ακ−θακ3|dθ=(M−m)η(ζ,ε)2(n+1)Δ0. |
The proof is completed.
Corollary 2.5. If we take η(ζ,ε)=ζ−ε with α=κ=1, then under the assumption of Theorem 2.5, we have
|Ψ(ε,ζ;n,α,κ)|≤7(M−m)(ζ−ε)36(n+1). |
Theorem 2.6. Let φ:Ω=[ε,ε+η(ζ,ε)]→R be a differentiable function on Ω. If φ′ satisfies Lipchitz conditions on [ε,ε+η(ζ,ε)] for certain L>0, with α>0,κ>0,n≥0, then the following inequality holds:
|Ψ(ε,ζ;n,α,κ)|≤L(η(ζ,ε))22(n+1)2[(n−1)Δ0−4(2ακ2ακ+1)ακ+2−23(ακ)+2+83β(2ακ2ακ+1;ακ+1,2)−43β(ακ+1,2)], | (2.17) |
where Δ0 given in (2.14).
Proof. From Lemma 2.1, we have
Ψ(ε,ζ;n,α,κ)|=η(ζ,ε)2(n+1)[1∫0(2(1−θ)ακ−θακ3)[φ′(ε+1−θn+1η(ζ,ε))−φ′(ε+n+θn+1η(ζ,ε))]dθ. |
Since φ′ is Lipschitz condition on [ε,ε+η(ζ,ε)], for certain L>0, we have
|φ′(ε+1−θn+1η(ζ,ε))−φ′(ε+n+θn+1η(ζ,ε))|≤Lη(ζ,ε)(n−1+2tn+1) |
Thus
|Ψ(ε,ζ;n,α,κ)|≤η(ζ,ε)2(n+1)[1∫0|2(1−θ)ακ−θακ3||φ′(ε+1−θn+1η(ζ,ε))−φ′(ε+n+θn+1η(ζ,ε)|]dθ≤L(η(ζ,ε))22(n+1)1∫0|2(1−θ)ακ−θακ3|(n−1+2tn+1)dθ=L(η(ζ,ε))22(n+1)2[(n−1)Δ0−4(2ακ2ακ+1)ακ+2−23(ακ)+2+83β(2ακ2ακ+1;ακ+1,2)−43β(ακ+1,2)]. |
The proof is completed.
Corollary 2.6. If we take η(ζ,ε)=ζ−ε with α=κ=1, then under the assumption of Theorem 2.6, we have
|Ψ(ε,ζ;n,α,κ)|≤L(ζ−ε)22(n+1)2[7n−1118+22135+83β(23;2,2)]. |
Let the set ψ and the δ-finite measure ϱ be given, and let the set of all probability densities on ϱ to be defined on Λ:={z|z:ψ→R,z(x)>0,∫ψz(x)dϱ(x)=1}.
Let F:(0,∞)→R be given mapping and consider DF(z,w) be defined by
DF(z,w):=∫ψz(x)F(z(x)w(x))dϱ(x),z,w∈Λ. | (3.1) |
If F is convex, then (3.1) is called as the Csiszar F-divergence.
Consider the following Hermite-Hadamard divergence
DFHH(z,w):=∫ψw(x)z(x)∫1F(t)dtw(x)z(x)−1dϱ(x),w,z∈Λ, | (3.2) |
where F is convex on (0,∞) with F(1)=0. Note that DFHH(z,w)≥0 with the equality holds if and only if w=z.
Proposition 3.1. Suppose all assumptions of Corollary 2.2 hold for (0,∞) and F(1)=0, if w,z∈Λ, then the following inequality holds:
|16[DF(w,z)+4∫ψz(x)F(z(x)+w(x)2w(x)dϱ(x))]−DFHH(w,z)|≤(1+2λ+1)1λ4(3λ+1(1+λ))1λ[(34)1λ+(14)1λ]×[|F′(1)|∫ψ|z(x)−w(x)|dϱ(x)+∫ψ|z(x)−w(x)||F′z(x)w(x)|dϱ(x)]. | (3.3) |
Proof. Let Θ1={x∈ψ:z(x)=w(x)}. Θ2={x∈ψ:z(x)<w(x)} and Θ3={x∈ψ:z(x)>w(x)} and Obviously, if x∈Θ1, then equality holds in (3.3).
Now if x∈Θ2, then using Corollary 2.2 for ε=z(x)w(x) and ζ=1, multiplying both sides of the obtained results by w(x) and then integrating over Θ2, we obtain
|16[4∫ψ2w(x)F(w(x)+z(x)2w(x))dϱ(x)+∫ψ2w(x)F(z(x)w(x))dϱ(x)]−∫ψ2w(x)z(x)w(x)∫1F(t)dtz(x)w(x)−1dϱ(x)|≤(1+2λ+1)1λ4(3λ+1(1+λ))1λ[(34)1λ+(14)1λ]×[|F′(1)|∫ψ2|w(x)−z(x)|dϱ(x)+∫ψ2|w(x)−z(x)||F′z(x)w(x)|dϱ(x)]. | (3.4) |
Similarly if x∈Θ3, then using Corollary 2.2 for ε=1 and ζ=z(x)w(x), multiplying both sides of the obtained results by w(x) and then integrating over Θ3, we obtain
|16[4∫ψ3w(x)F(w(x)+z(x)2w(x))dϱ(x)+∫ψ3w(x)F(z(x)w(x))dϱ(x)]−∫ψ3w(x)z(x)w(x)∫1F(t)dtz(x)w(x)−1dϱ(x)|≤(1+2λ+1)1λ4(3λ+1(1+λ))1λ[(34)1λ+(14)1λ]×[|F′(1)|∫ψ3|z(x)−w(x)|dϱ(x)+∫ψ3|z(x)−w(x)||F′z(x)w(x)|dϱ(x)]. | (3.5) |
Adding inequalities (3.4) and (3.5) and then utilizing triangular inequality, we get the result.
Proposition 3.2. Suppose all assumptions of Corollary 2.4 holds for (0,∞) and f(1)=0, if w,z∈Λ, then the following inequality holds:
|16[DF(w,z)+4∫ψz(x)F(z(x)+w(x)2w(x)dϱ(x))]−DFHH(w,z)|≤(518)1λ[(61324)1λ+(29324)1λ]×[|F′(1)|∫ψ|z(x)−w(x)|4dϱ(x)+∫ψ|z(x)−w(x)|4|F′z(x)w(x)|dϱ(x)]. | (3.6) |
Proof. The proof is similar as one has done for Corollary 2.2.
Let G:[ε,ε+η(ζ,ε)]→[0,1] be the probability density function of a continuous random variable Y with the cumulative distribution function of G
F(y)=P(Y≤y)=x∫εG(t)dt. |
As we know E(y)=ε+η(ζ,ε)∫εtdF(t)=(ε+η(ζ,ε))−ε+η(ζ,ε)∫εF(t)
Proposition 3.3. By Corollary 2.1, we get the inequality
|16[4P(Y≤2ε+η(ζ,ε)2)+1]−1η(ζ,ε)(ε+η(ζ,ε)−E(y))|≤η(ζ,ε)4[1+2μ+13μ+1(μ+1)]1μ[(34)1λ+(14)1λ][|G(ε)|+|G(ζ)|]. |
Proposition 3.4. By Corollary 2.3, we get the inequality
|16[4P(Y≤2ε+η(ζ,ε)2)+1]−1η(ζ,ε)(ε+η(ζ,ε)−E(y))|≤η(ζ,ε)4(518)1−1λ[(61324)1λ+(29324)1λ][|G(ε)|+|G(ζ)|]. |
Same applications can be found for Corollary 2.2 and Corollary 2.4, respectively. We leave it to the interested readers.
In this paper, we have established several Simpson's type inequalities via κ-fractional integrals in terms of preinvex functions. We also have obtained the inequalities applied to F-divergence measures and application for probability density functions. These results can be viewed as refinement and significant improvements of the previously known for [18,19] and preinvex functions. Applications can be provided in terms of the obtained results to special means. The ideas and techniques of this paper may be attracted to interested readers.
The authors declare that there is no conflicts of interest in this paper.
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