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Abstract
We introduce certain modified Szász–Mirakyan operators in polynomial weighted spaces of functions of one variable. We studied approximation properties of these operators.
2000 Mathematics subject classifications:
Public Interest Statement
In this work, we define new sequence of operators depending on a parameter. We prove that these newly defined sequence of operators are positive and linear. Using the moments of these operators, we estimate continuous signals (functions). The admissible value of the involved parameter allows us to make appropriate choice of it, in order to have better approximation. We approximate these sequence of operators in terms of the modulus of continuity and the modulus of smoothness in polynomial weighted space.
1. Introduction
Becker (Citation1978) studied approximation problems for functions and Szász–Mirakyan operators
(1.1)
(1.1)
,
, where
with fixed
is space generated by the weighted function
for , and
be the set of all functions
for which
is bounded on
and the norm is given by the following formula:
Moreover, be the set of all
for which
is a uniformly continuous function on
. The spaces
and
are called polynomial weighted spaces.
Becker (Citation1978) theorems on degree of approximation of by the operators
were proved. From these theorems, it was deduced that
(1.2)
(1.2)
for every ,
and
. Moreover, the convergence (1.2) is uniform on every interval
,
.
Jain (Citation1972) introduced generalization of Szász–Mirakyan operators (1.1) with help of a Poisson type distribution, as follows:(1.3)
(1.3)
where ,
,
and
(1.4)
(1.4)
The convergence properties and degree of approximation properties of were examined by Jain (Citation1972) for
, the set of all real valued continuous functions f on
. In the particular case
,
turn out to well known the Szász–Mirakyan operators (Szász, Citation1950) which defined by (1.1). Kantorovich type extension of the operators (1.3) was discussed in Umar and Razi (Citation1985). Various other generalization and its approximation properties of similar type of operators are studied in Agratini (Citation2013,Citation2014), Mishra and Patel (Citation2013), Mishra, Khatri, Mishra, and Deepmala (Citation2013), Örkcü (Citation2013), Patel and Mishra (Citation2014,Citation2015), Rempulska and Tomczak (Citation2009), Tarabie (Citation2012), Bardaro and Mantellini (Citation2006,Citation2009). In this paper, we modify operators
given by (1.3), i.e. we consider operators
(1.5)
(1.5)
for , where
and
are given increasing and unbounded numerical sequence such that
,
and
is non decreasing and
(1.6)
(1.6)
If for all
, then the operators (1.5) reduce to the operators (1.3).
The paper is organized as follows. In our manuscript, we shall study approximation properties of operators (1.5). In Section 2, we shall examine moments of the operators . We discuss approximation properties of the operators (1.5) in Section 3. We mention Kantorovich type extension of the operators
for further research.
2. Moments of ![](//:0)
![](//:0)
In order to obtain moments of , we need some background results, which are as follows:
Lemma 1
(Jain, Citation1972) Let ,
and let the generalized Poisson distribution given by (1.4). Then
(2.1)
(2.1)
Lemma 2
(Jain, Citation1972) Let ,
. Suppose that
and
Then(2.2)
(2.2)
Also,(2.3)
(2.3)
From (2.2) and (2.3), when , we get
(2.4)
(2.4)
In the following lemma, we have computed moments up to fourth order.
Lemma 3
Let , then the following equalities hold:
(1) | |||||
(2) | |||||
(3) | |||||
(4) | |||||
(5) |
|
Proof
Using equalities (2.1), (2.4–2.7) and by simple commutation, we obtain
Lemma 4
Let , then the following equalities hold:
(1) | |||||
(2) | |||||
(3) | |||||
(4) |
Proof of the above lemma, follows from the linearity of the operators .
By equality (1.6) and , we obtain
for every .
3. Approximation properties
Lemma 5
Let be fixed number. Then there exist positive numerical coefficients
,
, depending only on r and j such that
for all and
. Moreover, we have
.
The proof follows by a mathematical induction argument.
Lemma 6
For given and
and
there exists a positive constant
such that
(3.1)
(3.1)
Moreover, for every , we have
(3.2)
(3.2)
The formula (1.4), (1.5) and the inequality (3.2), show that ,
is a positive linear operator from the space
into
,
.
Proof
If , then
.
If , then by (1.5), (1.6), Lemma 3 and Lemma 5, we get
for all and
. From this, (3.1) follows.
By (1.5) and definition of norm, we have
for every ,
and
. From (3.1), the inequalities (3.2) is achieved.
Theorem 1
For every there exists a positive constant
such that
(3.3)
(3.3)
for all and
.
Proof
If , then (3.3) follows from values of
.
Let . Notice that
(3.4)
(3.4)
For , we get
Therefore,
If , then by Lemma 5, we get
Since for
,
, we have
(3.5)
(3.5)
for ,
. Using (3.5) in (3.4), we obtain (3.3) for
.
Thus, the proof is completed.
Now, we approximate using the modulus of continuity
and the modulus of smoothness
of function
,
for , where
Let(3.6)
(3.6)
Theorem 2
Suppose that with a fixed
. Then there exists a positive constant
such that
(3.7)
(3.7)
for all ,
.
Proof
Notice that , which implies (Equation3.7
(2.1)
(2.1) ) for
.
Let and let
. For
and
,
(3.8)
(3.8)
Applying on both sides, we obtain
Notice that
Now, using above inequality, we have
Now, using (3.3) and (3.6), we get
Thus, the proof is completed.
Corollary 1
Let ,
. Suppose that
with a fixed
. Then there exists a positive constant
such that
(3.9)
(3.9)
Theorem 3
Suppose that with a fixed
. Then there exists a positive constant
such that
for all and
, where
is defined in (3.6). For
, it follows that
.
Proof: We shall apply the Steklov function for
:
,
, for which we have
Hence, for , we have
(3.10)
(3.10)
(3.11)
(3.11)
(3.12)
(3.12)
which show that if
. By denoting
by
we can write
for ,
and
. By (3.2) and (3.9), we have
Applying Theorem 2, inequalities (3.10) and (3.11), we get
Combining these and setting , for fixed
and
, we obtain the desired result.
Theorem 4
Let ,
, and let
for
. Then there exists a positive constant
such that
From Theorems 3 and 4, we derive the following corollary:
Corollary 2
Let ,
,
as
. Then for
defined by (1.5), we have
(3.13)
(3.13)
Furthermore, the convergence of (3.12) is uniformly on every interval , where
.
Remark 1
The error of approximation of a function by
where
and
is smaller than by the operators ().
Additional information
Funding
Notes on contributors
Prashantkumar Patel
Prashantkumar Patel is an assistant professor at SXCA and doing the PhD in Mathematics from NIT, Surat under VNM. His area of scientific interest includes approximation theory with positive linear operators and q-calculus which is proved by his research articles.
Vishnu Narayan Mishra
Vishnu Narayan Mishra received the PhD in Mathematics from IIT, Roorkee. His research interests are in the areas of pure and applied mathematics. He has published more than 90 research articles in reputed international journals of mathematical and engineering sciences. He is a referee and an editor of several international journals in frame of Mathematics. He guided many postgraduate and PhD students. Citations of his research contributions can be found in many books and monographs, PhD thesis and scientific journal articles.
Mediha Örkcü
Mediha Örkcü received the PhD in Mathematics from Gazi University Institute of Science Department of Mathematics during 2007–2011. Her research interest is Approximation theory. She has published many research articles in reputed international journals of Mathematics.
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