Abstract
In the current paper, a generalized Montgomery identity is obtained with the help of Taylor’s formula on time scales. The obtained identity is used to establish Ostrowski inequality, mid-point inequality, and trapezoid inequality. Moreover, the weighted versions of generalized Montgomery identity and respective Ostrowski inequality are also discussed. Special cases are obtained for different time scales to obtain new and existing results.
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1 Introduction
An identity due to Montgomery is used to acquire various novel inequalities, for example, Ostrowski type inequality, trapezoid inequality, Mohajani inequality, Čebysěv and Grüss inequalities.
The Montgomery identity given by Pečaríc in [18] is expressed as follows:
Let \(g: [c_{1}, d_{1}]\rightarrow\mathbb{R}\) and \(g': [c_{1}, d_{1}]\rightarrow\mathbb{R}\) be integrable, then
where
Pečarić [20] obtained the weighted form of Montgomery identity which states that, for any \(x\in[c_{1}, d_{1}]\),
where \(g: [c_{1}, d_{1}]\rightarrow\mathbb{R}\) is differentiable on \([c_{1}, d_{1}]\), \(g': [c_{1}, d_{1}]\rightarrow\mathbb{R}\) is integrable on \([c_{1}, d_{1}]\), and \(z: [c_{1}, d_{1}]\rightarrow [0,\infty\rangle\) is some normalized weight function, which satisfy \(\int^{d_{1}}_{c_{1}}z(p)\,dp=1\), and \(Z(p)=\int^{p}_{c_{1}}z(x)\,dx\) for \(p\in[c_{1}, d_{1}]\), \(Z(p)=0\) for \(p< c_{1}\), and \(Z(p)=1\) for \(p>d_{1}\). The weighted Peano kernel is
The theory of time scales was firstly presented by S. Hilger in 1988. With the help of time scale theory, difference and differential equations are solved by a unified approach. The solutions are obtained for a real-valued functions on a closed subset \(\mathbb{T}\) of \(\mathbb {R}\) by extending the standard methods of calculus. Based on time scales theory [7, 9, 10], further studies on integral inequalities on time scales are noted in literature. Bohner and Matthews [8] used time scale theory as a reference to obtain the time-scaled Montgomery identity and particular Ostrowski inequality.
Theorem 1
([8, Lemma 3.1])
Let \(c_{1},d_{1},s,p \in\mathbb{T}\), \(c_{1}< d_{1}\), and \(g:[c_{1}, d_{1}]_{\mathbb{T}}=[c_{1}, d_{1}]\bigcap\mathbb{T} \to\mathbb{R}\) be differentiable, then
where
The weighted Montgomery identity given in [21] on time scales is stated as follows.
Theorem 2
Let \(c_{1},d_{1},s,p \in\mathbb{T}\), \(c_{1}< d_{1}\), and \(g:[c_{1}, d_{1}]_{\mathbb{T}}=[c_{1}, d_{1}]\bigcap\mathbb{T} \to\mathbb{R}\) be differentiable, then
where
and \(z:[c_{1}, d_{1}]_{\mathbb{T}}\rightarrow[0,\infty), \int _{c_{1}}^{d_{1}}z(p)\Delta p=1\),
In this paper, an extension of Montgomery identity (3) is obtained by using the time scale versions of Taylor series which can be found in [1, 2, 11]. The obtained Montgomery identity [3, 14–17] is further used for time-scaled trapezoid and Ostrowski type inequalities [5, 6, 12, 19, 22]. Additionally, uncommon instances of Ostrowski inequality include a generalized mid-point inequality. Finally, the extension of (4) and the respective Ostrowski inequality is discussed.
2 Preliminary results
Some basic essentials regarding theory of time scales can be found in [7, 9, 10]. Few of which are given here: Generalized polynomials on time scales are the functions \(u_{l},v_{l}:\mathbb{T}^{2} \rightarrow\mathbb{R}, l \in\mathbb{N}_{0}\) defined recursively as follows: \(u_{0}(p,s)=v_{0}(p,s)=1\), \(\forall p,s \in\mathbb{T}\) and for given \(u_{l},v_{l} \hbox{ with } l \in\mathbb{N}_{0}\),
If \(v_{l}^{\Delta}(p,s)\) presents each fixed \(s\in\mathbb{T}\), the derivative for \(v_{l+1}(p,s)\) with respect to p is
where
Also
Taylor formula for random time scale \(\mathbb{T}\) is stated below.
Theorem 3
([9, Theorem 1.113])
Let \(m \in\mathbb{N}\), g be m times differentiable on \(\mathbb {T}^{k^{m}}\). Let \(\alpha\in\mathbb{T}^{k^{m-1}}\), \(p \in\mathbb{T}\), then we have
where \(v_{l}: \mathbb{T}^{2} \to\mathbb{R}\), \(l\in\mathbb{N}_{0}\) represents the generalized polynomial defined above.
In order to deal with double integrals on time sales, Basşak Karpuz [13, Lemma 1] proved the following result for exchange of integrals.
Lemma 1
Assume \(s, p \in\mathbb{T}\) and \(G\in C_{rd}(\mathbb{T}\times\mathbb {T},\mathbb{R})\). Then
In a similar fashion, results obtained are shown below.
Lemma 2
Assume \(s, p \in\mathbb{T}\) and \(G\in C_{rd}(\mathbb{T}\times\mathbb {T},\mathbb{R})\). Then
Proof
Let
for \(p\in\mathbb{T}\). Then, by taking derivative and applying [9, Theorem 1.117], we have
which proved the required result. □
Remark 1
From [9, Theorem 1.109], it is straightforward that
Lemma 3
The functions \(u_{m}, m\in\mathbb{N}\) defined above satisfy, for all \(p\in\mathbb{T}\),
Proof
Here, the induction method is used to prove the result. For \(l=0\),
To conclude the induction, it will be sufficient that
implies that
If \(\rho^{l}(p)\) is left-dense, then \(\rho^{l+1}(p)=\rho^{l}(p)\) so that
If \(\rho^{l}(p)\) is not left-dense, then it is left-scattered and \(\sigma(\rho^{l+1}(p))=\rho^{l}(p)\), therefore by [9, Theorem 1.16(iv)] we have
It proves our claim. □
The lemma shown below is helpful in proving the main result.
Lemma 4
The function \(v_{l}\) for \(p \in\mathbb{T}\) satisfies
Proof
By using Lemma 3, we can write \(u_{m}(p,{\rho}^{l}(p))=0 \) \(\forall m \in\mathbb{N}\), \(0\le l \le m-1\). It is known that \(v_{m}(p,s)=(-1)^{m} u_{m}(s,p)\), \(\forall m \in\mathbb{N}\). Thus we have
By using [9, Theorem 1.16(iv)],
□
3 Generalization of Montgomery identity on time scales
Theorem 4
Let \(m \in\mathbb{N}\), g be m times differentiable on \(\mathbb {T}^{k^{m}}\). Let \(p \in\mathbb{T}\), then we have
where
Proof
Suppose that \(g^{\Delta}\) is \(m-1\) times differentiable, then by replacing m with \(m-1\), g with \(g^{\Delta}\), and \(\alpha=c_{1}\) in (7), we have
Replace \(c_{1}\) with \(d_{1}\) in (11) to get
We can rewrite (3) as
By using (11) and (12) in (13),
By making calculations for integral in (14),
Similarly (15) gives
By using Lemma 2, integral in (16) takes the following form:
Lemma 4 implies \({v_{m - 1}}({\rho^{m - 3}}(\tau),\sigma(\tau))=0\).
Similarly, we have
Use (18)–(21) in (14)–(17) respectively to get the ideal outcome. □
Example 1
-
By using \(\mathbb{T} =\mathbb{R}\) in (10), we get [4, Remark 1].
-
For \(\mathbb{T}=\mathbb{Z}\), (10) transforms as
$$\begin{aligned} g(p) =& \frac{1}{{d_{1}- c_{1}}}\sum_{s = c_{1}+1}^{d_{1}} {g(s)} \\ &{}+ \frac{1}{{d_{1} - c_{1}}}\sum_{l= 1}^{m - 1} {{\Delta^{l }}g} (c_{1}) \biggl\{ \frac{{(p - c_{1}){{(p - c_{1})}^{(l)}}}}{{(l)!}} - \frac{{{{(p + 1 - c_{1})}^{(l + 1)}}}}{{(l + 1)!}} \biggr\} \\ &{}+ \frac{1}{{d_{1} -c_{1}}}\sum_{l = 1}^{m - 1} {\Delta ^{l}}g(d_{1}) \biggl\{ \frac{{{{(p + 1 - d_{1})}^{(l + 1)}}}}{{(l + 1)!}} - \frac{{(p -d_{1}){{(p-d_{1})}^{(l)}}}}{{(l)!}} \biggr\} \\ &{}+ \frac {1}{{d_{1}-c_{1}}}\sum_{\tau=c_{1}}^{d_{1} - 1} {{\Delta ^{m}}g(\tau){Q_{m}}(p,\tau)}, \end{aligned}$$where
$$\begin{aligned}& {Q_{m}}(p,\tau) =\left [ { \textstyle\begin{array}{l@{\quad}l} {\frac{{(p - c_{1}){{(p - \tau - 1)}^{(m - 1)}}}}{{(m - 1)!}} - \sum_{s = \tau - m + 3}^{p - 1} {\frac{{{{(s - \tau)}^{(m - 1)}}}}{{(m - 1)!}}} ,}&{\tau \in [ {c_{1},p} ),}\\ {\frac{{(p - d_{1}){{(p - \tau - 1)}^{(m - 1)}}}}{{(m - 1)!}} - \sum_{s = \tau - m+ 3}^{p - 1} {\frac{{{{(s - \tau)}^{(m - 1)}}}}{{(m - 1)!}}} ,}&{\tau \in [ {p,d_{1}} ].} \end{array}\displaystyle } \right ] \end{aligned}$$ -
For \(\mathbb{T}=q^{\mathbb{Z}}\), \(q>1\), (10) takes the form
$$\begin{aligned} g(p) =&{} \frac{{q - 1}}{{d_{1} - c_{1}}}\sum_{s = c_{1}}^{{q^{-1}}{d_{1}}} {sf(qs)} \\ &{}+ \frac{1}{{d_{1}-c_{1}}}\sum_{l = 1}^{m - 1} {{\Delta^{l}}g} (c_{1}) \Biggl\{ \prod _{\nu = 0}^{l - 1} {\frac{{(p - {q^{\nu}}c_{1})(p - c_{1})}}{{\sum_{\mu = 0}^{\nu}{{q^{\mu}}} }}} - q(q - 1) \sum_{s = c_{1}}^{{q^{ - 1}}p} {s\prod _{\nu = 0}^{l - 1} {\frac{{(s - {q^{\nu - 1}}c_{1})}}{{\sum_{\mu = 0}^{\nu}{{q^{\mu}}} }}} } \Biggr\} \\ &{}+ \frac{1}{{d_{1} - c_{1}}}\\ &{}\times\sum_{l = 1}^{m - 1} {{\Delta^{l}}g} (d_{1}) \Biggl\{ q(q - 1)\sum _{s = d_{1}}^{{q^{ - 1}}p} {s\prod_{\nu = 0}^{l - 1} {\frac{{(s - {q^{\nu - 1}}{d_{1}})}}{{\sum_{\mu = 0}^{\nu}{{q^{\mu}}} }}} } - \prod_{\nu = 0}^{l - 1} {\frac{{(p - {q^{\nu}}d_{1})(p - d_{1})}}{{\sum_{\mu = 0}^{\nu}{{q^{\mu}}} }}} \Biggr\} \\ &{}+ \frac{1}{{d_{1}-c_{1}}}\sum_{\tau=c_{1}}^{{q^{ - 1}}d_{1}} {{\Delta^{m}}g(\tau){Q_{m}}(p,\tau)}, \end{aligned}$$where
$${Q_{m}}(p,\tau) = \left [ { \textstyle\begin{array}{cc} {\prod_{\nu = 0}^{m - 2} {\frac{{(p - {q^{\nu+1}}\tau)(p - c_{1})}}{{\sum_{\mu = 0}^{\nu} {{q^{\mu}}} }}} - q(q - 1)\sum_{s = {q^{3 - m}}\tau}^{{q^{ - 1}}p} {s\prod_{\nu = 0}^{m - 2} {\frac{{(s - {q^{\nu}}\tau)}}{{\sum_{\mu = 0}^{\nu}{{q^{\mu}}} }}} } ,}&{\tau \in [ {c_{1},p} ),}\\ {\prod_{\nu = 0}^{m - 2} {\frac{{(p - {q^{\nu+1}}\tau)(p - d_{1})}}{{\sum_{\mu = 0}^{\nu} {{q^{\mu}}} }}} - q(q - 1)\sum_{s = {q^{3 - m}}\tau}^{{q^{ - 1}}p} {s\prod_{\nu = 0}^{m- 2} {\frac{{(s - {q^{\nu}}\tau)}}{{\sum_{\mu = 0}^{\nu}{{q^{\mu}}} }}} } ,}&{\tau \in [ {p,d_{1}} ].} \end{array}\displaystyle } \right ] $$
Corollary 1
Using Theorem 4and the corresponding conditions, we get the following generalized trapezoid inequality:
Proof
For the generalized trapezoid inequality, replace \(p=c_{1}\) and \(p=d_{1}\) in (10) to get the accompanying structures
and
Add (23) and (24) and divide the resultant by 2 to get
By using Hölder’s inequality on (27), we get
which is the required trapezoid inequality, where
□
Remark 2
If \(m=2\) and \(q=1\) in Corollary 1, (22) takes the form
where
Remark 3
By using \(\mathbb{T}=\mathbb{R}\) in (22), we get [4, Remark 3].
3.1 Ostrowski type inequality
Theorem 5
Considering all taken assumptions of Theorem 4hold, suppose that (r,q) is a pair of conjugate exponents, that is, \(1\leq r, q<\infty , \frac{1}{r}+\frac{1}{q}=1\). Then we have
The constant \((\int _{c_{1}}^{d_{1}} |{Q_{m}}(p,\tau)|^{q}\Delta \tau)^{\frac{1}{q}}\) is sharp for \(1< r\leq\infty\) and the best possible for \(r=1\).
Proof
Employing identity (10) and Hölder’s inequality, the following is obtained:
Denote \(D_{1}(\tau)=Q_{m}(p,\tau)\). To verify the sharpness of the constant \((\int_{c_{1}}^{d_{1}}|D_{1}(\tau)|^{q}\Delta\tau)^{\frac {1}{q}}\), a function g is constructed for which the correspondence in (28) is obtained.
For \(1< r<\infty\), take g with the end goal which states that
For \(r=\infty\), take
For \(r=1\), it will be proved that
is the optimal inequality. Suppose that \(|D_{1}(\tau)|\) is maximum for \(\tau_{0}\in[c_{1},d_{1}]_{\mathbb{T}}\). First assume that \(D_{1}(\tau _{0})>0\) and for ϵ such that \(0<\epsilon<d_{1}-\tau_{0}\); define \(g_{\epsilon}(\cdot)\) by
For \(\tau_{0}\leq\tau\leq\tau_{0}+\epsilon\), the expression for derivatives is
Similarly, for \(m-th\) derivative,
For \(\tau_{0}+\epsilon\leq\tau\leq d_{1}\),
and
For ϵ small enough,
(30) gives
Since
Hence we have proved that equation (30) is an optimal inequality. For \(D_{1}(\tau_{0})<0\), we take
To obtain a solution of the above function when \(D_{1}(\tau_{0})<0\), a similar method can be used as for \(D_{1}(\tau_{0})>0\). □
Corollary 2
Considering taken conditions for Theorem 5hold, for \(r=1\), we have
Proof
By using (10),
\(r=1\Rightarrow q = \infty\), and we have
By using the above expression in (28), we get (31). □
Remark 4
Choose \(m=2\) in Corollary 2. In this case (31) takes the form
Remark 5
Use \(\displaystyle p=\frac{c_{1}+d_{1}}{2}\) in Theorem 5. In this case (28) becomes the following generalized midpoint inequality:
Remark 6
By using \(\mathbb{T}=\mathbb{R}\) in Sect. 3.1, we get [4, Corollary 1, Remark 2, Remark 3].
4 Weighted Montgomery identity
Theorem 6
Let \(m \in\mathbb{N}\) and g be m times differentiable on \(\mathbb {T}^{k^{m}}\). Let \(p \in\mathbb{T}\) and \(z:[c_{1},d_{1}]_{\mathbb {T}}\rightarrow[0,\infty)\) be some probability density function, then we have
where
and the term \(Z(p)\) involved in kernel is defined in (6).
Proof
Since \(g^{\Delta}\) is \(m-1\) times differentiable, therefore by replacing m with \(m-1\), g with \(g^{\Delta}\), and \(\alpha=c_{1}\) in (7), we have
Replace \(c_{1}\) with \(d_{1}\) in (33) to get
(4) can be written as
Now, by using (5), (33), (34), we have
By using Lemma 2, we have
Similarly
By using Lemma 2 and (9), integral in the 3rd term of (35) becomes
Similarly,
By using (36)–(39) in (35), we have the required result. □
Remark 7
Consider all the assumptions of Theorem 6 hold. Also, assume that \((r,q)\) is a pair of conjugate exponents, that is, \(1\leq r,q\leq\infty , \frac{1}{r}+\frac{1}{q}=1\). Then we have
The constant \((\int _{c_{1}}^{d_{1}} |{Q_{z,m}}(p,\tau )|^{q}\Delta\tau)^{\frac{1}{q}}\) is sharp for \(1< r\leq\infty\) and optimal for \(r=1\).
Proof
This result can be proved by a similar solution used for Theorem 5. □
Remark 8
By using \(\mathbb{T}=\mathbb{R}\) in (40), we have [4, (3.1)].
5 Conclusion
In this paper, the extension of Montgomery identity has been obtained with the help of time-scaled Taylor’s formula and discussed for calculus (discrete and quantum) as well by choosing special time scales. Further, it is used to find the extension of Ostrowski inequality, mid-point inequality, and trapezoid inequality. The weighted version of Montgomery identity and respective Ostrowski inequality are also established here. Remaining results that appeared in Corollary 1 and in Sect. 3.1 can be proved for weighted Montgomery identity (32) and respective Ostrowski type inequality (40). Moreover, as special cases, our inequalities contain the results proved in [4] when \(\mathbb{T}=\mathbb{R}\).
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SM wrote the initial draft after calculation of results, KAK originated the idea of this research and supervised the results, the methodology was given by AN, and special cases were confirmed by KMA. All authors read and approved the final manuscript.
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Malik, S., Khan, K.A., Nosheen, A. et al. Generalization of Montgomery identity via Taylor formula on time scales. J Inequal Appl 2022, 24 (2022). https://doi.org/10.1186/s13660-022-02759-3
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DOI: https://doi.org/10.1186/s13660-022-02759-3