二维加权空间上的统计等价近似

S. Yildiz, F. Dirik, K. Demirci
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引用次数: 0

摘要

Korovkin型近似定理在近似理论中占有非常重要的地位。许多数学家通过几种新的收敛方法研究和改进了这些类型的近似定理,适用于定义在不同空间上的各种算子。本文首先利用Gadjiev [Korovkin型定理,数学]研究了在加权空间上定义的正线性算子序列的收敛性。Zametki 20(1976), 781-786]。然后,许多作者针对不同类型的收敛方法对这些结果进行了改进。最近,一些作者利用加权空间上的单双列研究了二元函数的Korovkin型定理。本文证明了二维加权空间上二重序列的统计等收敛性的一个Korovkin型近似定理。然后,我们构造了一个例子,使我们的新近似结果有效,但它的经典和统计情况不适用。此外,我们还计算了二维加权空间上的二重序列的统计相等收敛率。
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A-Statistical Equal Approximation on Two Dimensional Weighted Spaces
Korovkin type approximation theorems have very important role in the approximation theory. Many mathematicians investigate and improve these type of approximation theorems for various operators defined on different spaces via several new convergence methods. The convergence of a sequence of positive linear operators defined on weighted space was first studied by Gadjiev [Theorems of Korovkin type, Math. Zametki 20(1976), 781-786]. Then, these results were improved by many authors for different type of convergence methods. Recently, some authors study Korovkin type theorems for two variables functions by means of single and double sequences on weighted spaces. In this paper, we prove a Korovkin type approximation theorem for the notion of statistical equal convergence for double sequences on two dimensional weighted spaces. Then, we construct an example such that our new approximation result works but its classical and statistical cases do not work. Also, we compute the rate of statistical equal convergence for double sequences on two dimensional weighted spaces.
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