Abstract
Purpose
To study the rate of convergence of q analogue of Durrmeyer operator generalization proposed by N. Deo.
Methods
We first estimate moments of q-Durrmeyer operators. We also study the rate of convergence our operators.
Results
We use Maple programming to draw the graphs for the approximation process for two operators. In all graphs, we observe that either classical operator has sharp convergence or both operators behave alike after a large number of iterations.
Conclusions
We conclude that the modified operator does not improve the approximation process.
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Introduction
To approximate Lebesgue integrable functions on the interval [0,1], Durrmeyer introduced the integral modification of the well-known Bernstein polynomials. In 1981, Derriennic[1] first studied these operators in details. The Durrmeyer operators are defined as
where the Bernstein basis function is defined by. Recently, Deo et al.[2] introduced a new version of Durrmeyer operators as
where
and. Several researchers have studied the q-analogue of Bernstein polynomials and established many interesting approximation properties. For important work in this direction, we refer the readers to[3–9], etc. In 2008, Gupta[10] introduced q-analogue of Durrmeyer operators as
where
In 2011, Gupta and Sharma[11] gave a recurrence formula and established better approximation for q-Durrmeyer operators. Before introducing the operators, we mention some basic definitions of q calculus (see[12]).
Let q > 0. For each nonnegative integer k, the q-integer [k] and the q-factorial [k]! are respectively defined by
and
For the integers n, k satisfying n ≥ k ≥ 0, the q-binomial coefficients are defined by
We define
The q-analogue of integration in the interval [0, a], discovered by Thomae[12], is defined by
We set
For we introduce the following q-Durrmeyer operators as
It can be easily verified that in case q = 1, the operators defined by Equation 3 reduce to generalized Durrmeyer operators (Equation 2).
Methods
Estimation of moments
Remark 1
For s = 0,1,… and by the definition of q-Beta function (see[12]), we have
Theorem 1
We have
Proof
Using Remark 1, the first identity can be proved easily.Consider
Further,
□
Remark 2
We have the following central moments:
Remark 3
For the special case q = 1, we have the following moments:
Remark 4
For the special case q = 1, we have the following central moments:
Remark 5
It is observed that the operators reproduce only the constant functions, not the linear ones.
Order of approximation
The modulus of continuity of f∈C[0,a], denoted by ω(f,δ), is defined by
The modulus of continuity possesses the following property:
Theorem 2
Let (q n ) n be a sequence satisfying q n → 1 as n → ∞. Then,
for all , where
Proof
Also, in view of Equation 4,
By using Equations 3 and 5, we get
But, by Remark 2,
Therefore, we get
because as q n → 1. So, letting and taking δ = √ δ n , we finally get
□
As usual, f ∈ Li p M (α), M > 0 and 0 < α < 1 , if the inequality
holds for all t,x∈[0,1].
In the following theorem, we will compute the rate of convergence by means of Lipschitz class.
Theorem 3
For all f ∈ Lip M (α) and , we have
where.
Proof
Using inequality (6) and Hölder’s inequality with,, we get
taking, we get
□
Results and discussion
In this section, we try to check whether the new generalization of operator introduced by Deo et al.[2] and given by Equation 2 has better approximation properties than the classical operator given by Equation 1. We use Maple programming to plot curves for f(x) = x (Figure1) and f(x) =x2 (Figure2) for the two operators. In all graphs, we observe that either classical operator has sharp convergence or both operators behave alike after a large number of iterations. Moreover, in[2], the modification interval of approximation is, which is smaller than that of the classical operator.
Conclusion
So, one can conclude that the modified operator (Equation 2) does not improve the approximation process.
References
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The author would like to thank the editor and referees for their valuable suggestions, which improved the paper considerably.
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Sharma, H. Note on approximation properties of generalized Durrmeyer operators. Math Sci 6, 24 (2012). https://doi.org/10.1186/2251-7456-6-24
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DOI: https://doi.org/10.1186/2251-7456-6-24