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First we give the definitions of generalized fractional integral operators which are special cases of the unified integral operators defined in (1.9), (1.10).
Definition 1.1. [1] Let f:[a,b]→R be an integrable function. Also let g be an increasing and positive function on (a,b], having a continuous derivative g′ on (a,b). The left-sided and right-sided fractional integrals of a function f with respect to another function g on [a,b] of order μ where ℜ(μ)>0 are defined by:
μgIa+f(x)=1Γ(μ)∫xa(g(x)−g(t))μ−1g′(t)f(t)dt,x>a, | (1.1) |
μgIb−f(x)=1Γ(μ)∫bx(g(t)−g(x))μ−1g′(t)f(t)dt, x<b, | (1.2) |
where Γ(.) is the gamma function.
Definition 1.2. [2] Let f:[a,b]→R be an integrable function. Also let g be an increasing and positive function on (a,b], having a continuous derivative g′ on (a,b). The left-sided and right-sided fractional integrals of a function f with respect to another function g on [a,b] of order μ where ℜ(μ),k>0 are defined by:
μgIka+f(x)=1kΓk(μ)∫xa(g(x)−g(t))μk−1g′(t)f(t)dt,x>a, | (1.3) |
μgIkb−f(x)=1kΓk(μ)∫bx(g(t)−g(x))μk−1g′(t)f(t)dt, x<b, | (1.4) |
where Γk(.) is defined as follows [3]:
Γk(x)=∫∞0tx−1e−tkkdt,ℜ(x)>0. | (1.5) |
A fractional integral operator containing an extended generalized Mittag-Leffler function in its kernel is defined as follows:
Definition 1.3. [4] Let ω,μ,α,l,γ,c∈C, ℜ(μ),ℜ(α),ℜ(l)>0, ℜ(c)>ℜ(γ)>0 with p≥0, δ>0 and 0<k≤δ+ℜ(μ). Let f∈L1[a,b] and x∈[a,b]. Then the generalized fractional integral operators ϵγ,δ,k,cμ,α,l,ω,a+f and ϵγ,δ,k,cμ,α,l,ω,b−f are defined by:
(ϵγ,δ,k,cμ,α,l,ω,a+f)(x;p)=∫xa(x−t)α−1Eγ,δ,k,cμ,α,l(ω(x−t)μ;p)f(t)dt, | (1.6) |
(ϵγ,δ,k,cμ,α,l,ω,b−f)(x;p)=∫bx(t−x)α−1Eγ,δ,k,cμ,α,l(ω(t−x)μ;p)f(t)dt, | (1.7) |
where
Eγ,δ,k,cμ,α,l(t;p)=∞∑n=0βp(γ+nk,c−γ)β(γ,c−γ)(c)nkΓ(μn+α)tn(l)nδ | (1.8) |
is the extended generalized Mittag-Leffler function and (c)nk is the Pochhammer symbol defined by (c)nk=Γ(c+nk)Γ(c).
Recently, a unified integral operator is defined as follows:
Definition 1.4. [5] Let f,g:[a,b]⟶R, 0<a<b, be the functions such that f be positive and f∈L1[a,b], and g be differentiable and strictly increasing. Also let ϕx be an increasing function on [a,∞) and α,l,γ,c ∈ C, p,μ,δ ≥ 0 and 0<k≤δ+μ. Then for x∈[a,b] the left and right integral operators are defined by
(gFϕ,γ,δ,k,cμ,α,l,a+f)(x,ω;p)=∫xaKyx(Eγ,δ,k,cμ,α,l,g;ϕ)f(y)d(g(y)), | (1.9) |
(gFϕ,γ,δ,k,cμ,β,l,b−f)(x,ω;p)=∫bxKxy(Eγ,δ,k,cμ,β,l,g;ϕ)f(y)d(g(y)), | (1.10) |
where the involved kernel is defined by
Kyx(Eγ,δ,k,cμ,α,l,g;ϕ)=ϕ(g(x)−g(y))g(x)−g(y)Eγ,δ,k,cμ,α,l(ω(g(x)−g(y))μ;p). | (1.11) |
For suitable settings of functions ϕ, g and certain values of parameters included in Mittag-Leffler function, several recently defined known fractional and conformable fractional integrals studied in [6,7,8,9,10,1,11,12,13,14,15,16,17] can be reproduced, see [18,Remarks 6&7].
The aim of this study is to derive the bounds of all aforementioned integral operators in a unified form for (s,m)-convex functions. These bounds will hold particularly for m-convex, s-convex and convex functions and for almost all fractional and conformable integrals defined in [6,7,8,9,10,1,11,12,13,14,15,16,17].
Definition 1.5. [19] A function f:[0,b]→R,b>0 is said to be (s,m)-convex, where (s,m)∈[0,1]2 if
f(tx+m(1−t)y)≤tsf(x)+m(1−t)sf(y) | (1.12) |
holds for all x,y∈[0,b]andt∈[0,1].
Remark 1. 1. If we take (s,m) = (1,m), then (1.12) gives the definition of m-convex function.
2. If we take (s,m) = (1,1), then (1.12) gives the definition of convex function.
3. If we take (s,m) = (1,0), then (1.12) gives the definition of star-shaped function.
P1: Let g and ϕx be increasing functions. Then for x<t<y, x,y∈[a,b] the kernel Kyx(Eγ,δ,k,cμ,α,l,g;ϕ) satisfies the following inequality:
Kxt(Eγ,δ,k,cμ,α,l,g;ϕ)g′(t)≤Kxy(Eγ,δ,k,cμ,α,l,g;ϕ)g′(t). | (2.1) |
This can be obtained from the following two straightforward inequalities:
ϕ(g(t)−g(x))g(t)−g(x)g′(t)≤ϕ(g(y)−g(x))g(y)−g(x)g′(t), | (2.2) |
Eγ,δ,k,cμ,α,l(ω(g(t)−g(x))μ;p)≤Eγ,δ,k,cμ,α,l(ω(g(y)−g(x))μ;p). | (2.3) |
The reverse of inequality (1.9) holds when g and ϕx are decreasing.
P2: Let g and ϕx be increasing functions. If ϕ(0)=ϕ′(0)=0, then for x,y∈[a,b],x<y,
Kxy(Eγ,δ,k,cμ,α,l,g;ϕ)≥0.
P3: For p,q∈R,
Kxy(Eγ,δ,k,cμ,α,l,g;pϕ1+qϕ2)=pKxy(Eγ,δ,k,cμ,α,l,g;ϕ1)+qKxy(Eγ,δ,k,cμ,α,l,g;ϕ2).
The upcoming section contains the results which deal with the bounds of several integral operators in a compact form by utilizing (s,m)-convex functions. A version of the Hadamard inequality in a compact form is presented, also a modulus inequality is given for differentiable function f such that |f′| is (s,m)-convex function.
In this section first we will state the main results. The following result provides upper bound of unified integral operators.
Theorem 3.1. Let f:[a,b]⟶R, 0≤a<b be a positive integrable (s,m)-convex function, m∈(0,1]. Let g:[a,b]⟶R be differentiable and strictly increasing function, also let ϕx be an increasing function on [a,b]. If α,β,l,γ,c∈C, p,μ≥0,δ≥0 and 0<k≤δ+μ, then for x∈(a,b) the following inequality holds for unified integral operators:
(gFϕ,γ,δ,k,cμ,α,l,a+f)(x,ω;p)+(gFϕ,γ,δ,k,cμ,β,l,b−f)(x,ω;p)≤Kax(Eγ,δ,k,cμ,α,l,g;ϕ)(mf(xm)g(x)−f(a)g(a)−Γ(s+1)(x−a)s(mf(xm)sIx−g(a)−f(a)sIa+g(x)))+Kxb(Eγ,δ,k,cμ,β,l,g;ϕ)(f(b)g(b)−mf(xm)g(x)−Γ(s+1)(b−x)s(f(b)sIb−g(x)−mf(xm)sIx+g(b))). | (3.1) |
Lemma 3.2. [20] Let f:[0,∞]⟶R, be an (s,m)-convex function, m∈(0,1]. If f(x)=f(a+b−xm), then the following inequality holds:
f(a+b2)≤12s(1+m)f(x)x∈[a,b]. | (3.2) |
The following result provides generalized Hadamard inequality for (s,m)-convex functions.
Theorem 3.3. Under the assumptions of Theorem 3.1, in addition if f(x)=f(a+b−xm), m∈(0,1], then the following inequality holds:
2s(1+m)f(a+b2)((gFϕ,γ,δ,k,cμ,α,l,b−1)(a,ω;p)+(gFϕ,γ,δ,k,cμ,β,l,a+1)(b,ω;p))≤(gFϕ,γ,δ,k,cμ,α,l,b−f)(a,ω;p)+(gFϕ,γ,δ,k,cμ,β,l,a+f)(b,ω;p)≤(Kab(Eγ,δ,k,cμ,α,l,g;ϕ)+Kab(Eγ,δ,k,cμ,α,l,g;ϕ))(f(b)g(b)−mf(am)g(a)−Γ(s+1)(b−a)s(f(b)sIb−g(a)−mf(am)sIa+g(b))). | (3.3) |
Theorem 3.4. Let f:[a,b]⟶R, 0≤a<b be a differentiable function. If |f′| is (s,m)-convex, m∈(0,1] and g:[a,b]⟶R be differentiable and strictly increasing function, also let ϕx be an increasing function on [a,b]. If α,β,l,γ,c∈C, p,μ≥0, δ≥0 and 0<k≤δ+μ, then for x∈(a,b) we have
|(gFϕ,γ,δ,k,cμ,α,l,a+f∗g)(x,ω;p)+(gFϕ,γ,δ,k,cμ,β,l,b−f∗g)(x,ω;p)|≤Kax(Eγ,δ,k,cμ,α,l,g;ϕ)(m|f′(xm)|g(x)−|f′(a)|g(a)−Γ(s+1)(x−a)s(m|f′(xm)|sIx−g(a)−|f′(a)|sIa+g(x)))+Kxb(Eγ,δ,k,cμ,β,l,g;ϕ)(|f′(b)|g(b)−m|f′(xm)|g(x)−Γ(s+1)(b−x)s(|f′(b)|sIb−g(x)−m|f′(xm)|sIx+g(b))), | (3.4) |
where
(gFϕ,γ,δ,k,cμ,α,l,a+f∗g)(x,ω;p):=∫xaKtx(Eγ,δ,k,cμ,α,l,g;ϕ)f′(t)d(g(t)), |
(gFϕ,γ,δ,k,cμ,β,l,b−f∗g)(x,ω;p):=∫bxKxt(Eγ,δ,k,cμ,α,l,g;ϕ)f′(t)d(g(t)). |
In this section we give the proves of the results stated in aforementioned section.
Proof of Theorem 3.1. By (P1), the following inequalities hold:
Ktx(Eγ,δ,k,cμ,α,l,g;ϕ)g′(t)≤Kax(Eγ,δ,k,cμ,α,l,g;ϕ)g′(t), a<t<x, | (4.1) |
Kxt(Eγ,δ,k,cμ,α,l,g;ϕ)g′(t)≤Kxb(Eγ,δ,k,cμ,β,l,g;ϕ)g′(t), x<t<b. | (4.2) |
For (s,m)-convex function the following inequalities hold:
f(t)≤(x−tx−a)sf(a)+m(t−ax−a)sf(xm), a<t<x, | (4.3) |
f(t)≤(t−xb−x)sf(b)+m(b−tb−x)sf(xm), x<t<b. | (4.4) |
From (4.1) and (4.3), the following integral inequality holds true:
∫xaKtx(Eγ,δ,k,cμ,α,l,g;ϕ)f(t)d(g(t))≤f(a)Kax(Eγ,δ,k,cμ,α,l,g;ϕ)×∫xa(x−tx−a)sd(g(t))+mf(xm)Kax(Eγ,δ,k,cμ,α,l,g;ϕ)∫xa(t−ax−a)sd(g(t)). | (4.5) |
Further the aforementioned inequality takes the form which involves Riemann-Liouville fractional integrals in the right hand side, provides the upper bound of unified left sided integral operator (1.1) as follows:
(gFϕ,γ,δ,k,cμ,α,l,a+f)(x,ω;p)≤Kax(Eγ,δ,k,cμ,α,l,g;ϕ)(mf(xm)g(x)−f(a)g(a)−Γ(s+1)(x−a)s(mf(xm)sIx−g(a)−f(a)sIa+g(x))). | (4.6) |
On the other hand from (4.2) and (4.4), the following integral inequality holds true:
∫bxKxt(Eγ,δ,k,cμ,α,l,g;ϕ)f(t)d(g(t))≤f(b)Kxb(Eγ,δ,k,cμ,β,l,g;ϕ)×∫bx(t−xb−x)sd(g(t))+mf(xm)Kbx(Eγ,δ,k,cμ,α,l,g;ϕ)∫bx(b−tb−x)sd(g(t)). | (4.7) |
Further the aforementioned inequality takes the form which involves Riemann-Liouville fractional integrals in the right hand side, provides the upper bound of unified right sided integral operator (1.2) as follows:
(gFϕ,γ,δ,k,cμ,β,l,b−f)(x,ω;p)≤Kxb(Eγ,δ,k,cμ,β,l,g;ϕ)(f(b)g(b)−mf(xm)g(x)−Γ(s+1)(b−x)s(f(b)sIb−g(x)−mf(xm)sIx+g(b))). | (4.8) |
By adding (4.6) and (4.8), (3.1) can be obtained.
Remark 2. (ⅰ) If we consider (s,m) = (1, 1) in (3.1), [18,Theorem 1] is obtained.
(ⅱ) If we consider p=ω=0 in (3.1), [20,Theorem 1] is obtained.
(ⅲ) If we consider ϕ(t)=Γ(α)tα, p=ω=0 and (s,m) = (1, 1) in (3.1), [21,Theorem 1] is obtained.
(ⅳ) If we consider α=β in the result of (ⅲ), then [21,Corollary 1] is obtained.
(ⅴ) If we consider ϕ(t)=tα, g(x)=x and m=1 in (3.1), then [22,Theorem 2.1] is obtained.
(ⅵ) If we consider α=β in the result of (v), then [22,Corollary 2.1] is obtained.
(ⅶ) If we consider ϕ(t)=Γ(α)tαkkΓk(α), (s,m) = (1, 1), g(x)=x and p=ω=0 in (3.1), then [23,Theorem 1] can be obtained.
(ⅷ) If we consider α=β in the result of (ⅶ), then [23,Corollary 1] can be obtained.
(ⅸ) If we consider ϕ(t)=Γ(α)tα, g(x)=x and p=ω=0 and (s,m) = (1, 1) in (3.1), then [24,Theorem 1] is obtained.
(ⅹ) If we consider α=β in the result of (ⅸ), then [24,Corollary 1] can be obtained.
(ⅹⅰ) If we consider α=β=1 and x=a or x=b in the result of (x), then [24,Corollary 2] can be obtained.
(ⅹⅱ) If we consider α=β=1 and x=a+b2 in the result of (ⅹ), then [24,Corollary 3] can be obtained.
Proof of Theorem 3.3. By (P1), the following inequalities hold:
Kax(Eγ,δ,k,cμ,α,l,g;ϕ)g′(x)≤Kab(Eγ,δ,k,cμ,α,l,g;ϕ)g′(x), a<x<b, | (4.9) |
Kxb(Eγ,δ,k,cμ,β,l,g;ϕ)g′(x)≤Kab(Eγ,δ,k,cμ,α,l,g;ϕ)g′(x) a<x<b. | (4.10) |
For (s,m)-convex function f, the following inequality holds:
f(x)≤(x−ab−a)sf(b)+m(b−xb−a)sf(am), a<x<b. | (4.11) |
From (4.9) and (4.11), the following integral inequality holds true:
∫baKax(Eγ,δ,k,cμ,α,l,g;ϕ)f(x)d(g(x))≤mf(am)Kab(Eγ,δ,k,cμ,α,l,g;ϕ)∫ba(b−xb−a)sd(g(x))+f(b)Kab(Eγ,δ,k,cμ,α,l,g;ϕ)∫ba(x−ab−a)sd(g(x)). |
Further the aforementioned inequality takes the form which involves Riemann-Liouville fractional integrals in the right hand side, provides the upper bound of unified right sided integral operator (1.1) as follows:
(gFϕ,γ,δ,k,cμ,α,l,b−f)(a,ω;p)≤Kab(Eγ,δ,k,cμ,α,l,g;ϕ)(f(b)g(b)−mf(am)g(a)−Γ(s+1)(b−a)s(f(b)sIb−g(a)−mf(am)sIa+g(b))). | (4.12) |
On the other hand from (4.9) and (4.11), the following inequality holds which involves Riemann-Liouville fractional integrals on the right hand side and estimates of the integral operator (1.2):
(gFϕ,γ,δ,k,cμ,β,l,a+f)(b,ω;p)≤Kab(Eγ,δ,k,cμ,α,l,g;ϕ)(f(b)g(b)−mf(am)g(a)−Γ(s+1)(b−a)s(f(b)sIb−g(a)−mf(am)sIa+g(b))). | (4.13) |
By adding (4.12) and (4.13), following inequality can be obtained:
(gFϕ,γ,δ,k,cμ,α,l,b−f)(a,ω;p)+(gFϕ,γ,δ,k,cμ,β,l,a+f)(b,ω;p)≤(Kab(Eγ,δ,k,cμ,α,l,g;ϕ)+Kab(Eγ,δ,k,cμ,α,l,g;ϕ))(f(b)g(b)−mf(am)g(a)−Γ(α+1)(b−a)s(f(b)sIb−g(b)−mf(am)sIa+g(b))). | (4.14) |
Multiplying both sides of (3.2) by Kax(Eγ,δ,k,cμ,α,l,g;ϕ)g′(x), and integrating over [a,b] we have
f(a+b2)∫baKax(Eγ,δ,k,cμ,α,l,g;ϕ)d(g(x))≤(12s)(1+m)∫baKab(Eγ,δ,k,cμ,α,l,g;ϕ)f(x)d(g(x)). |
From Definition 1.4, the following inequality is obtained:
f(a+b2)2s(1+m)(gFϕ,γ,δ,k,cμ,α,l,b−1)(a,ω;p)≤(gFϕ,γ,δ,k,cμ,α,l,b−f)(a,ω;p). | (4.15) |
Similarly multiplying both sides of (3.2) by Kxb(Eγ,δ,k,cμ,β,l,g;ϕ)g′(x), and integrating over [a,b] we have
f(a+b2)2s(1+m)(gFϕ,γ,δ,k,cμ,β,l,a+1)(b,ω;p)≤(gFϕ,γ,δ,k,cμ,β,l,a+f)(b,ω;p). | (4.16) |
By adding (4.15) and (4.16) the following inequality is obtained:
f(a+b2)2s(1+m)((gFϕ,γ,δ,k,cμ,β,l,a+1)(b,ω;p)+(gFϕ,γ,δ,k,cμ,α,l,b−1)(a,ω;p))≤(gFϕ,γ,δ,k,cμ,β,l,a+f)(b,ω;p)+(gFϕ,γ,δ,k,cμ,α,l,b−f)(a,ω;p). | (4.17) |
Using (4.14) and (4.17), inequality (3.3) can be obtained, this completes the proof.
Remark 3. (ⅰ) If we consider (s,m) = (1, 1) in (3.3), [18,Theorem 2] is obtained.
(ⅱ) If we consider p=ω=0 in (3.3), [20,Theorem 3] is obtained.
(ⅲ) If we consider ϕ(t)=Γ(α)tα+1, p=ω=0 and (s,m) = (1, 1) in (3.3), [21,Theorem 3] is obtained.
(ⅳ) If we consider α=β in the result of (iii), then [21,Corollary 3] is obtained.
(ⅴ) If we consider ϕ(t)=tα+1, g(x)=x and m=1 in (3.3), then [22,Theorem 2.4] is obtained.
(ⅵ) If we consider α=β in the result of (v), then [22,Corollary 2.6] is obtained.
(ⅶ) If we consider ϕ(t)=Γ(α)tαk+1, (s,m) = (1, 1), g(x)=x and p=ω=0 in (3.3), then [23,Theorem 3] can be obtained.
(ⅷ) If we consider α=β in the result of (ⅶ), then [23,Corollary 6] can be obtained.
(ⅸ) If we consider ϕ(t)=Γ(α)tα+1, p=ω=0, (s,m)=1 and g(x)=x in (3.3), [24,Theorem 3] can be obtained.
(ⅹ) If we consider α=β in the result of (ⅸ), [24,Corrolary 6] can be obtained.
Proof of Theorem 3.4. For (s,m)-convex function the following inequalities hold:
|f′(t)|≤(x−tx−a)s|f′(a)|+m(t−ax−a)s|f′(xm)|, a<t<x, | (4.18) |
|f′(t)|≤(t−xb−x)s|f′(b)|+m(b−tb−x)s|f′(xm)|, x<t<b. | (4.19) |
From (4.1) and (4.18), the following inequality is obtained:
|(gFϕ,γ,δ,k,cμ,α,l,a+(f∗g))(x,ω;p)|≤Kax(Eγ,δ,k,cμ,α,l,g;ϕ)(x−a)s×((x−a)s(m|f′(xm)|g(x)−|f′(a)|g(a))−Γ(s+1)(m|f′(xm)|sIx−g(a)−|f′(a)|sIa+g(x))). | (4.20) |
Similarly, from (4.2) and (4.19), the following inequality is obtained:
|(gFϕ,γ,δ,k,cμ,β,l,b−(f∗g))(x,ω;p)|≤Kxb(Eγ,δ,k,cμ,β,l,g;ϕ)(b−x)s×((b−x)s(|f′(b)|g(b)−mf′|(xm)|g(x))−Γ(s+1)(|f′(b)|sIb−g(x)−mf′|(xm)|sIx+g(b))). | (4.21) |
By adding (4.20) and (4.21), inequality (3.4) can be achieved.
Remark 4. (ⅰ) If we consider (s,m) = (1, 1) in (3.4), then [18,Theorem 3] is obtained.
(ⅱ) If we consider p=ω=0 in (3.4), then [20,Theorem 2] is obtained.
(ⅲ) If we consider ϕ(t)=Γ(α)tα+1, p=ω=0 and (s,m) = (1, 1) in (3.4), then [21,Theorem 2] is obtained.
(ⅳ) If we consider α=β in the result of (iii), then [21,Corollary 2] is obtained.
(ⅴ) If we consider ϕ(t)=tα, g(x)=x and m=1 in (3.4), then [22,Theorem 2.3] is obtained.
(ⅵ) If we consider α=β in the result of (v), then [22,Corollary 2.5] is obtained.
(ⅶ) If we consider ϕ(t)=Γ(α)tαk+1, (s,m) = (1, 1), g(x)=x and p=ω=0 in (3.4), then [23,Theorem 2] can be obtained.
(ⅷ) If we consider α=β in the result of (ⅶ), then [23,Corollary 4] can be obtained.
(ⅸ) If we consider α=β=k=1 and x=a+b2, in the result of (ⅷ), then [23,Corollary 5] can be obtained.
(ⅹ) If we consider ϕ(t)=Γ(α)tα+1, g(x)=x and p=ω=0 and (s,m) = (1, 1) in (3.4), then [24,Theorem 2] is obtained.
(ⅹⅰ) If we consider α=β in the result of (x), then [24,Corollary 5] can be obtained.
In this section, we have established boundedness and continuity of unified integral operators for m-convex and convex functions.
Theorem 5.1. Under the assumptions of Theorem 1, the following inequality holds for m-convex functions:
(gFϕ,γ,δ,k,cμ,α,l,a+f)(x,ω;p)+(gFϕ,γ,δ,k,cμ,β,l,b−f)(x,ω;p)≤Kax(Eγ,δ,k,cμ,α,l,g;ϕ)(g(x)−g(a))(mf(xm)+f(a))+Kxb(Eγ,δ,k,cμ,β,l,g;ϕ)(g(b)−g(x))(mf(xm)+f(b)). | (5.1) |
Proof. If we put s=1 in (4.5), we have
∫xaKtx(Eγ,δ,k,cμ,α,l,g;ϕ)f(t)d(g(t))≤f(a)Kax(Eγ,δ,k,cμ,α,l,g;ϕ)×∫xa(x−tx−a)d(g(t))+mf(xm)Kax(Eγ,δ,k,cμ,α,l,g;ϕ)∫xa(t−ax−a)d(g(t)). | (5.2) |
Further from simplification of (5.2), the following inequality holds:
(gFϕ,γ,δ,k,cμ,α,l,a+f)(x,ω;p)≤Kax(Eγ,δ,k,cμ,α,l,g;ϕ)(g(x)−g(a))(mf(xm)+f(a)). | (5.3) |
Similarly from (4.8), the following inequality holds:
(gFϕ,γ,δ,k,cμ,β,l,b−f)(x,ω;p)≤Kxb(Eγ,δ,k,cμ,β,l,g;ϕ)(g(b)−g(x))(mf(xm)+f(b)). | (5.4) |
From (5.3) and (5.4), (5.1) can be obtained.
Theorem 5.2. With assumptions of Theorem 4, if f∈L∞[a,b], then unified integral operators for m-convex functions are bounded and continuous.
Proof. From (5.3) we have
|(gFϕ,γ,δ,k,cμ,α,l,a+f)(x,ω;p)|≤Kab(Eγ,δ,k,cμ,α,l,g;ϕ)(g(b)−g(a))(m+1)‖f‖∞, |
which further gives
|(gFϕ,γ,δ,k,cμ,α,l,a+f)(x,ω;p)|≤K‖f‖∞, |
where K=(g(b)−g(a))(m+1)Kab(Eγ,δ,k,cμ,α,l,g;ϕ).
Similarly, from (5.4) the following inequality holds:
|(gFϕ,γ,δ,k,cμ,β,l,b−f)(x,ω;p)|≤K‖f‖∞. |
Hence the boundedness is followed, further from linearity the continuity of (1.9) and (1.10) is obtained.
Corollary 1. If we take m=1 in Theorem 5, then unified integral operators for convex functions are bounded and continuous and following inequalities hold:
|(gFϕ,γ,δ,k,cμ,α,l,a+f)(x,ω;p)|≤K‖f‖∞, |
|(gFϕ,γ,δ,k,cμ,β,l,b−f)(x,ω;p)|≤K‖f‖∞, |
where K=2(g(b)−g(a))Kab(Eγ,δ,k,cμ,α,l,g;ϕ).
This paper has explored bounds of a unified integral operator for (s,m)-convex functions. These bounds are obtained in a compact form which have further interesting consequences with respect to fractional and conformable integrals for convex, m-convex and s-convex functions. Furthermore by applying Theorems 3.1, 3.3 and 3.4 several associated results can be derived for different kinds of fractional integral operators of convex, m-convex and s-convex functions.
This work was sponsored in part by Social Science Planning Fund of Liaoning Province of China(L15AJL001, L16BJY011, L18AJY001), Scientific Research Fund of The Educational Department of Liaoning Province(2017LNZD07, 2016FRZD03), Scientific Research Fund of University of science and technology Liaoning(2016RC01, 2016FR01)
The authors declare that no competing interests exist.
[1] | Ranjan AK., Vallisree S, and Singh RK (2016) Role of Geographic Information System and Remote Sensing in Monitoring and Management of Urban and Watershed Environment: Overview. J of Remote Sens & GIS, 7: 1–14. |
[2] | Anil NC, Sankar GJ and Rao MJ (2011) Studies on Land Use/ Land Cover and change detection from parts of South West Godavari District, A. P-Using Remote Sensing and GIS Techniques. J of Indian Geophys Union 15: 187–194. |
[3] | Olokeoguna OS, Iyiolab OF and Iyiolac K (2014) Application of remote sensing and GIS in land use/land cover mapping and change detection in shasha forest reserve, Nigeria. The International Archives of the Photogrammetry, Remote Sens and Spat Inf Sci 40: 613–616. |
[4] | Mengistu DA and Salami AT (2007) Application of remote sensing and GIS in land use/land cover mapping and change detection in a part of south western Nigeria. Afr J of Environ Sci and Technol 1: 99–109. |
[5] |
Reis S (2008) Analyzing Land Use/Land Cover Changes Using Remote Sensing and GIS in Rize, North-East Turkey. Sens 8: 6188–6202. doi: 10.3390/s8106188
![]() |
[6] | Forkuo EK and Frimpong (2012) Analysis of Forest Cover Change Detection. Int J of Remote Sens Appl 2: 82–92. |
[7] | Lubis JPG and Nakagoshi N (2011) Land Use and Land Cover change detection using remote sensing and geographic information system in Bodri Watershed, Central Java, Indonesia. J of Int Dev and Coop 18: 139–151. |
[8] |
Kindu M, Schneider T, Teketay D, et al. (2013) Land Use/Land Cover change analysis using object-based classification approach in Munessa-Shashemene landscape of the ethiopian highlands. Remote Sens 5: 2411–2435. doi: 10.3390/rs5052411
![]() |
[9] |
Ghosh S, Sen KK, Rana U, et al. (1996) Applications of GIS for Land-Use/Land-Cover Change Analysis in a Mountainous Terrain. J of the Indian Soc of Remote Sens 24: 193–202. doi: 10.1007/BF03007332
![]() |
[10] | Prasad TL, and Sreenivasulu G (2014) Land Use / Land Cover analysis using Remote Sensing and GIS-A Case Study on Pulivendula Taluk, Kadapa District, Andhra Pradesh-India. Int J of Sci and Res Publ 4: 1–5. |
[11] | Tsegaye L (2014) Analysis of Land Use and Land Cover Change and Its Drivers Using GIS and Remote Sensing: The Case of West Guna Mountain, Ethiopia. Int Res J of Earth Sci 3: 53–63. |
[12] | Kayet N and Pathak K (2015) Remote Sensing and GIS Based Land use/Land cover Change Detection Mapping in Saranda Forest, Jharkhand, India. Int Res J of Earth Sci 3: 1–6. |
[13] | Jharkhand-Wildlife. Available from: http://www.jharwildlife.in/2014-10-09-13-56-25/2014-10-10-15- 0538/dalma.html. |
[14] | FSI, 2013, India State of Forest Report, Forest Survey of India, Dehradun, India, 252. |
[15] | FSI, 2015, India State of Forest Report, Forest Survey of India, Dehradun, India. |
[16] | http://www.en.m.wikipedia.org/wiki/Dalma_wildlife_Sanctuary. |
[17] | BHUVAN. Available from: http://bhuvan.nrsc.gov.in/bhuvan_links.php. |
[18] | United State Geological Survey. Available from: http://glovis.usgs.gov/. |
[19] | India and Pakistan AMS topographic maps. Available from: http://www.lib.utexas.edu/map.ams/india/nf-45-01. |
[20] | Ismail MH and Jusoff K (2008) Satellite data classification accuracy assessment based from reference dataset. Int J of Comput and Inf Eng 2: 386–392. |
[21] | Lillesand TM and Kiefer RW (1999) Remote Sensing and Image Interpretation. New York: John Wiley and Sons. |
[22] | Tiwari LK, Sinha SK, Saran S, et al. (2015) Forest encroachment mapping methods-an overview. Int J of Adv in Remote Sens, GIS and Geogr 3. |
[23] | Arveti N, Etikala B and Dash P (2016) Land Use/Land Cover Analysis Based on Various Comprehensive Geospatial Data Sets: A Case Study from Tirupati Area, South India. Adv in Remote Sens 5: 73–82. |
[24] |
Singh A (1989) Digital change detection techniques using remotely sensed data. Int J of Remote Sens 10: 989–1003. doi: 10.1080/01431168908903939
![]() |
[25] | Prakasam C (2010) Land use and Land cover change detection through remote sensing approach: A case study of Kodaikanal taluk, Tamil nadu. Int J of Geomat and Geosci 6: 37–44. |
[26] | Kaswanto NN and Arifin HD (2010) Impact of land use changes on spatial pattern of landscape during two decades (1989-2009) in West Java region, Hikobia. Proced Environ Sci 15: 363–376. |
[27] | Banko G (1998) A Review of assessing the accuracy of classification of remotely sensed data and methods including remote sensing data in forest inventory. Int Inst for Appl Syst Anal- Inter Rep 119:270–279. |
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