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Generalizations of Steffensen’s inequality via the extension of Montgomery identity

  • Andrea Aglić Aljinović EMAIL logo , Josip Pečarić and Anamarija Perušić Pribanić
Published/Copyright: April 26, 2018

Abstract

In this paper, we obtained new generalizations of Steffensen’s inequality for n-convex functions by using extension of Montgomery identity via Taylor’s formula. Since 1-convex functions are nondecreasing functions, new inequalities generalize Stefensen’s inequality. Related Ostrowski type inequalities are also provided. Bounds for the reminders in new identities are given by using the Chebyshev and Grüss type inequalities.

MSC 2010: 26D15; 26A51

1 Introduction

In [1], the authors obtain the following extension of Montgomery identity using Taylor’s formula:

Theorem 1.1

Let f : I → ℝ be suct that f(n − 1)is absolutely continuous for some n ≥ 2, I ⊂ ℝ an open interval, a, bI, a < b. Then the following identity holds

f(x)=1baabftdti=0n2fi+1xbxi+2axi+2i+2!ba+1(n1)!abTnx,sfnsds(1)

where

Tn(x,s)=1nbaasn,asx;1nbabsn,x<sb.

Remark 1.2

The last identity holds also for n = 1. In this special case, we assume thati=0n2is an empty sum. Thus (1) reduces to well-knownMontgomery identity (e.g. [2])

f(x)=1baabf(t)dt+abT1(x,s)f(s)ds

where the Peano kernel is

T1(x,s)=saba,asx;sbba,x<sb.

The aim of this paper is to obtain some new generalizations of Steffensen’s inequality using above extension of Montgomery identity. The Steffensen’s inequality was first given and proved by Steffensen in 1918 ([3]):

Theorem 1.3

Suppose that f is nonincreasing and g is integrable on [a, b] with 0 ≤ g ≤ 1 andλ=abg(t)dt.Then we have

bλbf(t)dtabf(t)g(t)dtaa+λf(t)dt.(2)

The inequalities are reversed for f nondecreasing.

In [4] Jakšetić and Pečarić generalized Steffensen’s inequality for positive measures.

Mitrinović stated in [5] that the inequalities in (2) follow from the identities which will be the starting point for our generalizations of Steffensen’s inequality.

First, let us recall the definition of n-convex functions.

Let f be a real-valued function defined on the segment [a, b]. The divided difference of order n of the function f at distinct points x0, …, xn ∈ [a, b], is defined recursively (see [6, 7]) by

f[xi]=f(xi),(i=0,,n)

and

f[x0,,xn]=f[x1,,xn]f[x0,,xn1]xnx0.

The value f[x0, …, xn] is independent of the order of the points x0, …, xn.

The definition may be extended to include the case when some (or all) of the points coincide. Assuming that f(j − 1)(x) exists, we define

f[x,,xjtimes]=f(j1)(x)(j1)!.(3)

The notion of n-convexity goes back to Popoviciu ([8]). We follow the definition given by Karlin ([9]):

Definition 1.4

A function f: [a, b] → ℝ is said to be n-convex on [a, b], n ≥ 0, if for all choices of (n + 1) distinct points in [a, b], nth order divided difference of f satisfies

f[x0,...,xn]0.

Note that, 1–convex functions are nondecreasing functions. If f(n) exists, then f is n–convex iff f(n) ≥ 0.

The paper is organized as follows. After this Introduction, in Section 2 we obtain new identities related to Steffensen’s inequality. Using these new identities we generalize Steffensen’s inequality for n–convex functions. Further, in Section 3 we give Ostrowski-type inequalities related to our new generalizations. We conclude this paper with some new bounds for our identities, using the Chebyshev and Grüss type inequalities.

Throughout the paper, it is assumed that all integrals under consideration exist and that they are finite.

2 Generalizations of Steffensen’s inequality via the extension of Montgomery identity

In this section we obtain generalizations of Steffensen’s inequality for n-convex functons using identity (1).

Theorem 2.1

Let f : I → ℝ be suct that f(n − 1)is absolutely continuous for some n ≥ 2, I ⊂ ℝ an open interval, a, bI, a < b. Let g, p : [a, b] → ℝ be integrable functions such that p is positive and 0 ≤ g ≤ 1. Letaa+λp(t)dt=abg(t)p(t)dtand let the function G1be defined by

G1(x)=ax(1g(t))p(t)dt,x[a,a+λ],xbg(t)p(t)dt,x[a+λ,b].(4)

Then

aa+λf(t)p(t)dtabf(t)g(t)p(t)dt+abG1(x)f(b)f(a)bai=0n3f(i+2)(x)bxi+2axi+2i+2!badx=1(n2)!ababG1(x)Tn1(x,s)dxf(n)(s)ds.(5)

Proof

Using identity

[a,a+λ]f(t)p(t)dt[a,b]f(t)g(t)p(t)dt=[a,a+λ]f(t)(1g(t))p(t)dt(a+λ,b]f(t)g(t)p(t)dt

and integration by parts we have

aa+λf(t)p(t)dtabf(t)g(t)p(t)dt=aa+λ[f(t)f(a+λ)][1g(t)]p(t)dt+a+λb[f(a+λ)f(t)]g(t)p(t)dt=aa+λax(1g(t))p(t)dtdf(x)a+λbxbg(t)p(t)dtdf(x)=abG1(x)df(x)=abG1(x)f(x)dx.

Applying identity (1) to f and replacing n with n − 1 we have

f(x)=f(b)f(a)bai=0n3fi+1xbxi+2axi+2i+2!ba+1(n2)!abTn1(x,s)f(n)(s)ds.

Now we obtain

abG1(x)f(x)dx=abG1(x)f(b)f(a)bai=0n3f(i+2)(x)bxi+2axi+2i+2!badx+1(n2)!abG1(x)abTn1(x,s)f(n)(s)dsdx.(6)

After applying Fubini’s theorem on the last term in (6) we obtain (5). □

Theorem 2.2

Let f : I → ℝ be suct that f(n − 1)is absolutely continuous for some n ≥ 2, I ⊂ ℝ an open interval, a, bI, a < b. Let g, p : [a, b] → ℝ be integrable functions such that p is positive and 0 ≤ g ≤1. Letbλbp(t)dt=abg(t)p(t)dtand let the function G2be defined by

G2(x)=axg(t)p(t)dt,x[a,bλ],xb(1g(t))p(t)dt,x[bλ,b].(7)

Then

abf(t)g(t)p(t)dtbλbf(t)p(t)dt+abG2(x)f(b)f(a)bai=0n3f(i+2)(x)bxi+2axi+2i+2!badx=1(n2)!ababG2(x)Tn1(x,s)dxf(n)(s)ds.(8)

Proof

Similarly as in the proof of Theorem 2.1, we use the identity

[a,b]f(t)g(t)p(t)dt(bλ,b]f(t)p(t)dt=[a,bλ]f(t)g(t)p(t)dt(bλ,b]f(t)(1g(t))p(t)dt.

Now, using the above obtained identites we give generalization of Steffensen’s inequality for n-convex functions.

Theorem 2.3

Let f : I → ℝ be suct that f(n − 1)is absolutely continuous for some n ≥ 2, I ⊂ ℝ an open interval, a, bI, a < b. Let g, p : [a, b] → ℝ be integrable functions such that p is positive and 0 ≤ g ≤1. Letaa+λp(t)dt=abg(t)p(t)dtand let the function G1be defined by (4). If f is nconvex and

abG1(x)Tn1(x,s)dx0,s[a,b],(9)

then

abf(t)g(t)p(t)dtaa+λf(t)p(t)dt+abG1(x)f(b)f(a)bai=0n3f(i+2)(x)bxi+2axi+2i+2!badx.(10)

Proof

If the function f is n-convex, without loss of generality we can assume that f is n–times differentiable and f(n) ≥ 0 see [7, p. 16 and p. 293]. Now we can apply Theorem 2.1 to obtain (10). □

Theorem 2.4

Let f : I → ℝ be suct that f(n − 1)is absolutely continuous for some n ≥ 2, I ⊂ ℝ an open interval, a, bI, a < b. Let g, p : [a, b] → ℝ be integrable functions such that p is positive and 0 ≤ g ≤1. Letbλbp(t)dt=abg(t)p(t)dtand let the function G2be defined by (7). If f is nconvex and

abG2(x)Tn1(x,s)dx0,s[a,b],(11)

then

abf(t)g(t)p(t)dtbλbf(t)p(t)dtabG2(x)f(b)f(a)bai=0n3f(i+2)(x)bxi+2axi+2i+2!badx.(12)

Proof

Similar to the proof of Theorem 2.3. □

Remark 2.5

If the integrals in (9) and (11) are nonpositive, then the reverse inequalities in (10) and (12) hold. Note that in this case for some odd n ≥ 3, functions Gi, i = 1, 2 are nonnegative so integrals in (9) and (11) are nonpositive. Hence, inequalities (10) and (12) are reversed.

3 Ostrowski-type inequalities

In this section we give the Ostrowski-type inequalities related to generalizations obtained in the previous section.

Here, the symbol Lp [a, b] (1 ≤ p < ∞) denotes the space of p-power integrable functions on the interval [a, b] equipped with the norm

fp=abftpdt1p

and L[a, b] denotes the space of essentially bounded functions on [a, b] with the norm

f=esssupta,bft.

Theorem 3.1

Suppose that all assumptions of Theorem 2.1 hold. Assume also that (p, q) is a pair of conjugate exponents, that is 1 ≤ p, q ≤ ∞, 1/p+1/q = 1 andf(n)Lp[a, b] for some n ≥ 2. Then we have

aa+λf(t)p(t)dtabf(t)g(t)p(t)dt+abG1(x)f(b)f(a)bai=0n3f(i+2)(x)bxi+2axi+2i+2!badx1(n2)!fnpabG1(x)Tn1(x,)dxq.(13)

The constant on the right-hand side of (13) is sharp for 1 < p ≤ ∞ and the best possible for p = 1.

Proof

Let’s denote

C(s)=1(n2)!abG1(x)Tn1(x,s)dx.

By taking the modulus of (5) and applying Hölder’s inequality we obtain

aa+λf(t)p(t)dtabf(t)g(t)p(t)dt+abG1(x)f(b)f(a)bai=0n3f(i+2)(x)bxi+2axi+2i+2!badx=abC(s)f(n)(s)dsfnpCq.

For the proof of the sharpness of the constant ∥Cq let us find a function f for which the equality in (13) is obtained.

For 1 < p < ∞ take f to be such that

f(n)(s)=sgn C(s)C(s)1p1.

For p = ∞ take f(n)(s) = sgn C(s).

For p = 1 we prove that

abC(s)f(n)(s)dtmaxt[a,b]C(t)abf(n)(s)ds(14)

is the best possible inequality. C(⋅) is a continuous function on [a, b] and so is |C(⋅)| . Suppose that |C(⋅)| attains its maximum at s0 ∈ [a, b]. First we assume that C(s0) > 0. For ε > 0 small enough we define fε(s) by

fε(s)=0,ass0,1εn!(ss0)n,s0ss0+ε,1n!(ss0)n1,s0+εsb.

Then

abC(s)fε(n)(s)ds=s0s0+εC(s)1εds=1εs0s0+εC(s)ds.

Now from the inequality (14) we have

1εs0s0+εC(s)ds1εC(s0)s0s0+εds=C(s0).

Since,

limε01εs0s0+εC(s)ds=C(s0)

the statement follows. In the case C(s0) < 0, we define fε(s) by

fε(s)=1n!(ss0ε)n1,ass0,1εn!(ss0ε)n,s0ss0+ε,0,s0+εsb,

and the rest of the proof is the same as above. □

Theorem 3.2

Suppose that all assumptions of Theorem 2.2 hold. Assume also (p, q) is a pair of conjugate exponents, that is 1 ≤ p, q ≤ ∞, 1/p+1/q = 1. Letf(n)Lp[a, b] for some n ≥ 2. Then we have

abf(t)g(t)p(t)dtbλbf(t)p(t)dt+abG2(x)f(b)f(a)bai=0n3f(i+2)(x)bxi+2axi+2i+2!badx1(n2)!fnpabG2(x)Tn1(x,)dxq.(15)

The constant on the right-hand side of (15) is sharp for 1 < p ≤ ∞ and the best possible for p = 1.

Proof

Similar to the proof of Theorem 3.1. □

4 Generalizations related to the bounds for the Chebyshev functional

Let f, h : [a, b] → ℝ be Lebesgue integrable functions. We define the Chebyshev functional T(f, h) by

T(f,h):=1baabf(t)h(t)dt1baabf(t)dt1baabh(t)dt.

In 1882 Chebyshev proved that

Tf,h112fhba2,

provided that f, h exist and are continuous on [a, b] and ∥f = supt ∈ [a, b] | f(t) |. It also holds if f, h : [a, b] → are absolutely continuous and f, gL[a, b] while ∥f = ess supt ∈ [a, b]|f(t) |.

In 1934, Grüss in his paper [10] proved that

Tf,h14MmNn,

provided that there exist the real numbers m, M, n, N such that

mftM,nhtN

for a.e. t ∈ [a, b]. The constant 1/4 is the best possible.

In [11] Cerone and Dragomir proved the following theorems:

Theorem 4.1

Let f : [a, b] → ℝ be a Lebesgue integrable function and h : [a, b] → ℝ be an absolutely continuous function with (⋅ −a)(b – ⋅)[h]2L1[a, b]. Then we have the inequality

|T(f,h)|12[T(f,f)]121baab(xa)(bx)[h(x)]2dx12.(16)

The constant12in (16) is the best possible.

Theorem 4.2

Assume that h : [a, b] → ℝ is monotonic nondecreasing on [a, b] and f : [a, b] → ℝ is absolutely continuous with fL[a, b]. Then we have the inequality

|T(f,h)|12(ba)fab(xa)(bx)dh(x).1(17)

The constant12in (17) is the best possible.

In the sequel we use the above theorems to obtain some new bounds for integrals on the left hand side in the perturbed version of identities (5) and (8).

Firstly, let us denote

Ωi(s)=abGi(x)Tn1(x,s)dx,i=1,2.(18)

Theorem 4.3

Let f : I → ℝ be suct that f(n)is absolutely continuous for some n ≥ 2, I ⊂ ℝ an open interval, a, bI, a < b and (⋅ –a)(b – ⋅)[f(n+1)]2L1[a, b]. Let g, p : [a, b] → ℝ be integrable functions such that p is positive and 0 ≤ g ≤ 1. Letaa+λp(t)dt=abg(t)p(t)dtand let the functions G1and Ω1be defined by (4) and (18). Then

aa+λf(t)p(t)dtabf(t)g(t)p(t)dt+abG1(x)f(b)f(a)bai=0n3f(i+2)(x)bxi+2axi+2i+2!badx+f(n1)(b)f(n1)(a)(ba)(n2)!abΩ1(s)ds=Sn1(f;a,b),(19)

where the remainderSn1(f;a,b)satisfies the estimation

Sn1(f;a,b)ba2(n2)!T(Ω1,Ω1)12ab(sa)(bs)[f(n+1)(s)]2ds12.(20)

Proof

Applying Theorem 4.1 for fΩ1 and hf(n) we obtain

1baabΩ1(s)f(n)(s)ds1baabΩ1(s)ds1baabf(n)(s)ds12T(Ω1,Ω1)121baab(sa)(bs)[f(n+1)(s)]2dt12.(21)

Now if we add

1(ba)(n2)!abΩ1(s)dsabf(n)(s)ds=f(n1)(b)f(n1)(a)(ba)(n2)!abΩ1(s)ds

to both sides of identity (5) and use inequality (21), we obtain representation (19) and bound (20). □

Similarly, using identity (8) we obtain the following result:

Theorem 4.4

Let f : I → ℝ be suct that f(n)is absolutely continuous for some n ≥ 2, I ⊂ ℝ an open interval, a, bI, a < band (⋅ –a)(b – ⋅)[f(n+1)]2L1[a, b]. Let g, p : [a, b] → ℝ be integrable functions such that p is positive and 0 ≤ g ≤ 1. Letbλbp(t)dt=abg(t)p(t)dtand let the functions G2andΩ2be defined by (7) and (18). Then

abf(t)g(t)p(t)dtbλbf(t)p(t)dt+abG2(x)f(b)f(a)bai=0n3f(i+2)(x)bxi+2axi+2i+2!badx+f(n1)(b)f(n1)(a)(ba)(n2)!abΩ2(s)ds=Sn2(f;a,b),(22)

where the remainderSn2(f;a,b)satisfies the estimation

Sn2(f;a,b)ba2(n2)!T(Ω2,Ω2)12ab(sa)(bs)[f(n+1)(s)]2ds12.

Proof

Similar to the proof of Theorem 4.3. □

The following Grüss-type inequalities also hold.

Theorem 4.5

Let f : I → ℝ be suct that f(n)is absolutely continuous for some n ≥ 2 and f(n+1) ≥ 0 on [a, b]. Let functions Ωi, i = 1, 2 be defined by (18).

  1. Letaa+λp(t)dt=abg(t)p(t)dt.Then we have representation (19) and the remainderSn1(f;a,b)satisfies the bound

    Sn1(f;a,b)ba(n2)!Ω1f(n1)(b)+f(n1)(a)2f(n2)(b)f(n2)(a)ba.(23)
  2. Letbλbp(t)dt=abg(t)p(t)dt.. Then we have representation (22) and the remainderSn2(f;a,b)satisfies the bound

    Sn2(f;a,b)ba(n2)!Ω2f(n1)(b)+f(n1)(a)2f(n2)(b)f(n2)(a)ba.

Proof

  1. Applying Theorem 4.2 for fΩ1, hf(n) we obtain

    1baabΩ1(s)f(n)(s)ds1baabΩ1(s)ds1baabf(n)(s)ds12(ba)Ω1ab(sa)(bs)f(n+1)(s)ds.(24)

    Since

    ab(sa)(bs)f(n+1)(s)ds=ab[2s(a+b)]f(n)(s)ds=(ba)f(n1)(b)+f(n1)(a)2f(n2)(b)f(n2)(a)

    Using representation (5) and inequality (24) we deduce (23).

  2. Similar to the (a)-part.

References

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Received: 2016-10-13
Accepted: 2018-02-07
Published Online: 2018-04-26

© 2018 Aglić Aljinović et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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  79. On the recursive properties of one kind hybrid power mean involving two-term exponential sums and Gauss sums
  80. Arithmetic of generalized Dedekind sums and their modularity
  81. Multipreconditioned GMRES for simulating stochastic automata networks
  82. Regularization and error estimates for an inverse heat problem under the conformable derivative
  83. Transitivity of the εm-relation on (m-idempotent) hyperrings
  84. Learning Bayesian networks based on bi-velocity discrete particle swarm optimization with mutation operator
  85. Simultaneous prediction in the generalized linear model
  86. Two asymptotic expansions for gamma function developed by Windschitl’s formula
  87. State maps on semihoops
  88. 𝓜𝓝-convergence and lim-inf𝓜-convergence in partially ordered sets
  89. Stability and convergence of a local discontinuous Galerkin finite element method for the general Lax equation
  90. New topology in residuated lattices
  91. Optimality and duality in set-valued optimization utilizing limit sets
  92. An improved Schwarz Lemma at the boundary
  93. Initial layer problem of the Boussinesq system for Rayleigh-Bénard convection with infinite Prandtl number limit
  94. Toeplitz matrices whose elements are coefficients of Bazilevič functions
  95. Epi-mild normality
  96. Nonlinear elastic beam problems with the parameter near resonance
  97. Orlicz difference bodies
  98. The Picard group of Brauer-Severi varieties
  99. Galoisian and qualitative approaches to linear Polyanin-Zaitsev vector fields
  100. Weak group inverse
  101. Infinite growth of solutions of second order complex differential equation
  102. Semi-Hurewicz-Type properties in ditopological texture spaces
  103. Chaos and bifurcation in the controlled chaotic system
  104. Translatability and translatable semigroups
  105. Sharp bounds for partition dimension of generalized Möbius ladders
  106. Uniqueness theorems for L-functions in the extended Selberg class
  107. An effective algorithm for globally solving quadratic programs using parametric linearization technique
  108. Bounds of Strong EMT Strength for certain Subdivision of Star and Bistar
  109. On categorical aspects of S -quantales
  110. On the algebraicity of coefficients of half-integral weight mock modular forms
  111. Dunkl analogue of Szász-mirakjan operators of blending type
  112. Majorization, “useful” Csiszár divergence and “useful” Zipf-Mandelbrot law
  113. Global stability of a distributed delayed viral model with general incidence rate
  114. Analyzing a generalized pest-natural enemy model with nonlinear impulsive control
  115. Boundary value problems of a discrete generalized beam equation via variational methods
  116. Common fixed point theorem of six self-mappings in Menger spaces using (CLRST) property
  117. Periodic and subharmonic solutions for a 2nth-order p-Laplacian difference equation containing both advances and retardations
  118. Spectrum of free-form Sudoku graphs
  119. Regularity of fuzzy convergence spaces
  120. The well-posedness of solution to a compressible non-Newtonian fluid with self-gravitational potential
  121. On further refinements for Young inequalities
  122. Pretty good state transfer on 1-sum of star graphs
  123. On a conjecture about generalized Q-recurrence
  124. Univariate approximating schemes and their non-tensor product generalization
  125. Multi-term fractional differential equations with nonlocal boundary conditions
  126. Homoclinic and heteroclinic solutions to a hepatitis C evolution model
  127. Regularity of one-sided multilinear fractional maximal functions
  128. Galois connections between sets of paths and closure operators in simple graphs
  129. KGSA: A Gravitational Search Algorithm for Multimodal Optimization based on K-Means Niching Technique and a Novel Elitism Strategy
  130. θ-type Calderón-Zygmund Operators and Commutators in Variable Exponents Herz space
  131. An integral that counts the zeros of a function
  132. On rough sets induced by fuzzy relations approach in semigroups
  133. Computational uncertainty quantification for random non-autonomous second order linear differential equations via adapted gPC: a comparative case study with random Fröbenius method and Monte Carlo simulation
  134. The fourth order strongly noncanonical operators
  135. Topical Issue on Cyber-security Mathematics
  136. Review of Cryptographic Schemes applied to Remote Electronic Voting systems: remaining challenges and the upcoming post-quantum paradigm
  137. Linearity in decimation-based generators: an improved cryptanalysis on the shrinking generator
  138. On dynamic network security: A random decentering algorithm on graphs
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