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Approximation by multivariate Baskakov–Durrmeyer operators in Orlicz spaces
Journal of Inequalities and Applications volume 2023, Article number: 118 (2023)
Abstract
Employing some properties of multivariate Baskakov–Durrmeyer operators and utilizing modified K-functional and a decomposition technique, the authors obtain the direct theorem and weak type inverse theorem in the Orlicz spaces.
1 Preliminaries
For proceeding smoothly, we recall from [27] some definitions and related results.
A continuous convex function \(\Phi (t)\) on \([0,\infty )\) is called a Young function if it satisfies
For a Young function \(\Phi (t)\), its complementary Young function is denoted by \(\Psi (t)\).
A function \(\varphi :[0,\infty )\to \mathbb{R}\) is said to be star-shaped if \(\varphi (\nu t)\le \nu \varphi (t)\) for all \(\nu \in [0,1]\) and \(t\ge 0\). A real function φ defined on a set \(S\subset \mathbb{R}^{n}\) is said to be super-additive if \(s,t\in S\) implies \(s+t\in S\) and \(\varphi (s+t)\ge \varphi (s)+\varphi (t)\). See [21, Chap. 16] and [23, Sect. 3.4]. Among convex functions, star-shaped functions, and super-additive functions, the following relations hold true:
-
1)
If φ is convex on \([0,\infty )\) with \(\varphi (0)\le 0\), then φ is star-shaped;
-
2)
If \(\varphi :[0,\infty )\to \mathbb{R}\) is star-shaped, then φ is super-additive.
See [21, pp. 650–651, Section B.9], [24, p. 706], [25, pp. 616–617], or [26, Lemma 2.2]. Therefore, a Young function \(\Phi (t)\) is both star-shaped and super-additive.
A Young function \(\Phi (t)\) is said to satisfy the \(\Delta _{2}\)-condition, denoted by \(\Phi \in \Delta _{2}\), if there exist \(t_{0}\geq 0\) and \(C\ge 1\) such that \(\Phi (2t)\le C\Phi (t)\) for \(t\ge t_{0}\).
Throughout the paper we shall use the following standard notations:
and
for \(m\in \mathbb{N}\) and \(r\in \mathbb{N}\).
Let \(\Phi (t)\) be a Young function. We define the Orlicz class \(L_{\Phi}(\mathbb{R}^{m}_{0})\) as the collection of all Lebesgue measurable functions \(f(\boldsymbol{x})\) on \(\mathbb{R}^{m}_{0}\) for which
We also define the Orlicz space \(L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\) as the set of all Lebesgue measurable functions \(f(\boldsymbol{x})\) on \(\mathbb{R}^{m}_{0}\), such that \(\int _{\mathbb{R}^{m}_{0}}\Phi (|\alpha f(\boldsymbol{x})|)\,\mathrm {d}\boldsymbol{x}<\infty \) for some \(\alpha >0\). The Orlicz space is a Banach space under the Luxemburg norm
The Orlicz norm, an equivalence of the Luxemburg norm on \(L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\), is given by
and satisfies
If \(\Phi (u)=\frac{u^{p}}{p}\) for \(1< p<\infty \), then the complementary function becomes \(\Psi (u)=\frac{|u|^{q}}{q}\) with \(\frac{1}{p}+\frac{1}{q}=1\), and then \(L_{\Phi}^{*}(\mathbb{R}^{m}_{0})=L_{p}(\mathbb{R}^{m}_{0})\). So the Orlicz spaces \(L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\) are more general than the classical \(L_{p}(\mathbb{R}^{m}_{0})\) spaces which are composed of measurable functions \(f(\boldsymbol{x})\) such that \(|f(\boldsymbol{x})|^{p}\) are integrable.
Throughout this paper we use C to denote a constant independent of n and x, which may be not necessarily the same in different cases.
For \(\boldsymbol{x}\in \mathbb{R}^{m}_{0}\), we introduce weight functions
for \(m=1\) and
for \(m>1\) and \(1\le i\le m\). We also define the weighted Sobolev space
where \(|\boldsymbol{k}|\le r\) and \({\overset{\circ}{\mathbb{R}^{m}_{0}}}\) is the interior of \(\mathbb{R}^{m}_{0}\).
The modified Peetre K-functionals are defined by
and
for \(t>0\).
For any vector \(\boldsymbol{e}\in \mathbb{R}^{m}\), we write
for the rth forward difference of a function f in the direction of e. We define the modulus of smoothness of \(f\in L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\) as
2 Motivations and main results
Between the modulus of smoothness and the K-functional there exists the following equivalent theorems.
Theorem A
([13])
Let \(f\in L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\) and \(r\in \mathbb{N}\). Then there exist some constants C and \(t_{0}\) such that
Theorem B
([31])
Let \(f\in L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\) and \(r\in \mathbb{N}\). Then there exist some constants C and \(t_{0}\) such that
Let
The well-known Baskakov operators were defined in [2] as
These operators can be used to approximate any function f defined on \([0,\infty )\). For \(f\in L_{p}[0,\infty )\) and \(1\leq p<\infty \), the Baskakov–Durrmeyer operators were defined in [17] as
For a function f defined on \(\mathbb{R}^{m}_{0}\), the multivariate Baskakov operators were defined in [5] as
where
The multivariate Baskakov–Durrmeyer operators were defined in [4] as
where
There are many approximation results about one variable operator of the Baskakov type in \(C[0,\infty )\) or \(L_{p}[0,\infty )\), see [1, 2, 7–9, 15, 17–19, 29, 30]. But there are few approximation results about multivariate Baskakov type operators (see [4, 5, 13, 22]) or multivariate Durrmeyer type operators (see [3, 20]).
In the paper [4], Cao and An obtained the strong direct inequality
in \(L_{p}(\mathbb{R}^{m}_{0})\). In [10–12, 14–16], we obtained approximation properties for positive and linear operators in Orlicz space. In particular, we acquired the direct theorem of multivariate Baskakov–Kantorovich operators in Orlicz space in [13].
In this paper, we will discover not only the direct theorem, but also the weak type inverse theorem for the multivariate Baskakov–Durrmeyer operators \(V_{n,m}(f,\boldsymbol{x})\).
Our main results can be stated in the following two theorems.
Theorem 1
(Direct theorem)
Let \(f\in L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\), \(\Psi \in \Delta _{2}\), and \(n>m\) for \(n,m\in \mathbb{N}\). Then
Theorem 2
(Weak type inverse theorem)
Let \(f\in L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\) and \(n>m\) for \(n,m\in \mathbb{N}\). Then
Remark 1
3 Proof of direct theorem
In order to prove the direct theorem, we need several lemmas.
Lemma 1
Let \(f\in L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\) and \(n>m\) for \(n,m\in \mathbb{N}\). Then
Proof
Employing the decomposition formula
and Jensen’s inequality, we obtain
By the double Inequality (1), we complete the proof of Lemma 1. □
Lemma 2
Let \(f\in L_{\Phi}^{*}(\mathbb{R}^{2}_{0})\), \(\Psi \in \Delta _{2}\), and \(n>2\). Then
Proof
Let
for \(0\le t<\infty \). Utilizing the decomposition formula
yields
where
the notation ≜ means “define”, and
Now we start out to estimate
From [17], we obtain
From the Inequality (6), Jensen’s inequality, and the convexity of \(\Phi (t)\), it follows
On the other hand, by definition, we can deduce
and
To estimate the second term \(J_{2}=V_{n,1}^{*} (h(\cdot ),x_{1} ) -h(x_{1})\), we use a similar method as estimating (6) and acquire
By the Inequality (8) and the convexity of \(\Phi (t)\), we arrive at
When denoting \(\varphi _{12}(\boldsymbol{x})=\varphi _{21}(\boldsymbol{x}) \triangleq \sqrt{x_{1}x_{2}}\), \(D_{12}^{2}=\frac{\partial ^{2}}{\partial x_{1}\partial x_{2}}\), and \(D_{21}^{2}=\frac{\partial ^{2}}{\partial x_{2}\partial x_{1}}\), we can write
By virtue of the facts that \(\varphi _{12}(\boldsymbol{x})\) is not bigger than \(\varphi _{1}(\boldsymbol{x})\) or \(\varphi _{2}(\boldsymbol{x})\) and that
in [6, Lemma 2.1], we obtain
and
Combining the above inequality with (5) and (7) and paying attention to computation formulas of norm and the double Inequality (1) yield
The proof of Lemma 2 is complete. □
Proof of Theorem 1
Our proof is based on induction on the dimension m and on a decomposition for the Baskakov–Durrmeyer operator.
For \(m\geq 1\), the proof of Theorem 1 follows from combining Lemmas 1 and 2 with the estimates
The first estimate in (9) can be derived from Lemma 1. By Lemma 2, the second estimate in (9) is valid for \(m=1,2\). If the second estimate in (9) is valid for \(m=r\geq 2\), that is
then we have to further verify its validity for \(m=r+1\).
Let
We claim that the decomposition formula
is valid, where \(g_{u_{1}}(t)=f (u_{1},(1+u_{1})t )\) for \(0\leq t<\infty \). From the above formula, it follows that
where
By the inequality
which can be obtained from (10) and Jensen’s inequality, we arrive at
On the other hand, by definition, we can deduce
As a result, we obtain
By the Inequality (8) and the convexity of \(\Phi (t)\), we acquire
Denoting \(\varphi _{ij}(\boldsymbol{x})=\sqrt{x_{i}x_{j}}\) for \(1\le i< j\leq r+1\) and \(D_{ij}^{2}=\frac{\partial ^{2}}{\partial x_{i}\partial x_{j}}\), we have
Recalling that \(\varphi _{ij}(\boldsymbol{x})\) is not bigger than \(\varphi _{i}(\boldsymbol{x})\) or \(\varphi _{j}(\boldsymbol{x})\), and using the fact
in [6, Lemma 2.1], we obtain
Combining the Inequalities (11), (12), and (13) and paying attention to computation of norm and the Inequality (1), we obtain the second estimate of (9) for any \(m\geq 2\).
For \(g\in W_{\varphi}^{2,\Phi}(\mathbb{R}^{m}_{0})\), using (2), (9), and Lemma 1 gives
The proof of Theorem 1 is complete. □
4 Proof of inverse theorem
In order to prove the inverse theorem, we need several lemmas.
Lemma 3
Let \(f\in W_{\varphi}^{2,\Phi}(\mathbb{R}^{m}_{0})\) and \(n>m\) for \(n,m\in \mathbb{N}\). Then
Proof
By straight computation, we have
where \(\frac{(n+k+1)(k+1)}{(k+2)(n+k)}\leq 1\) for \(k\ge 0\) and \(n\in \mathbb{N}\). Using Jensen’s inequality, we derive
Let
and \(z=\frac{x_{m}}{1+\sum_{\ell =1}^{m-1}x_{\ell}}\). Then, by the Inequality (4) and for \(m>1\), we have
Using the Inequalities (14), (15), and Jensen’s inequality, we see that
Hence, from the computation formula of the form, it follows that
Similarly, we can prove the same results for \(i=1, 2, \ldots , m-1\). The proof of Lemma 3 is thus complete. □
Lemma 4
Let \(f\in L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\) and \(n>m\) for \(n,m\in \mathbb{N}\). Then
Proof
By straight calculation, for \(m=1\), we have
where
Moreover, we can verify that
for \(n\geq 2\). By the Inequalities (4) and (16), for \(m>1\), we have
Hence, from the computation formula of the form, it follows that
Similarly, we can prove the same results for \(i=1, 2, \ldots , m-1\). The proof of Lemma 4 is thus complete. □
Proof of Theorem 2
Let
and
It is obvious that \(v_{1}=0\). From Lemmas 3 and 4, it follows that
By [28, Lemma 2.1], we acquire \(v_{n}\leq \frac{C}{n}\sum_{k=1}^{n}\tau _{k}\). Therefore,
Using the double Inequality (1), we obtain
For \(n\geq 2\), there exists \(s\in \mathbb{N}\) such that \(\frac{n}{2}\leq s\leq n\) and
Accordingly, we have
Hence, by the definition of the K–functional, we deduce
5 Conclusions
In this paper, using the equivalent theorem between the modified K-functional and modulus of smoothness, employing a decomposition technique, and considering some properties of multivariate Baskakov–Durrmeyer operators in the form of Lemmas 1, 2, 3, and 4, we obtained a direct theorem and weak type inverse theorem in the Orlicz spaces \(f\in L_{\Phi}^{*}(\mathbb{R}^{m}_{0})\).
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The authors appreciate the anonymous referees for their caeful corrections, helpful suggestions, and valuable comments on the original version of the paper.
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The first author was partially supported by IMNSFC under Grant no. 2020LH01007.
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Han, LX., Bai, YM. & Qi, F. Approximation by multivariate Baskakov–Durrmeyer operators in Orlicz spaces. J Inequal Appl 2023, 118 (2023). https://doi.org/10.1186/s13660-023-03030-z
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DOI: https://doi.org/10.1186/s13660-023-03030-z
Mathematics Subject Classification
- 41A17
- 41A35
Keywords
- Direct theorem
- Weak type inverse theorem
- Orlicz space
- Jensen’s inequality
- K-functional
- Multivariate Baskakov–Durrmeyer operator