Received: 22 September 2017
DOI: 10.1002/mma.4636
RESEARCH ARTICLE
A certain class of weighted statistical convergence and
associated Korovkin-type approximation theorems
involving trigonometric functions
H. M. Srivastava
1,2
Bidu Bhusan Jena
3
Susanta Kumar Paikray
3
U. K. Misra
4
1
Department of Mathematics and
Statistics, University of Victoria, Victoria
British Columbia V8W 3R4, Canada
2
Department of Medical Research, China
Medical University Hospital, China
Medical University, Taichung 40402,
Taiwan, Republic of China
3
Department of Mathematics, Veer
Surendra Sai University of Technology,
Burla 768018, Odisha, India
4
Department of Mathematics, National
Institute of Science and Technology, Palur
Hills Golanthara 761008, Odisha, India
Correspondence
H. M. Srivastava, Department of
Mathematics and Statistics, University of
Victoria, Victoria, British Columbia V8W
3R4, Canada.
Email: harimsri@math.uvic.ca
Communicated by: W. Sprößig
MOS Classification: Primary 40A05,
41A36; Secondary 40G15
The subject of statistical convergence has attracted a remarkably large num-
ber of researchers due mainly to the fact that it is more general than the
well-established theory of the ordinary (classical) convergence. In the year 2013,
Edely et al
17
introduced and studied the notion of weighted statistical con-
vergence. In our present investigation, we make use of the (presumably new)
notion of the deferred weighted statistical convergence to present Korovkin-type
approximation theorems associated with the periodic functions 1, cos x, and
sin x defined on a Banach space C
2
(R). In particular, we apply our concept of the
deferred weighted statistical convergence with a view to proving a Korovkin-type
approximation theorem for periodic functions and also to demonstrate that our
result is a nontrivial extension of several known Korovkin-type approximation
theorems which were given in earlier works. Moreover, we establish another
result for the rate of the deferred weighted statistical convergence for the same
set of functions. Finally, we consider a number of interesting special cases and
illustrative examples in support of our definitions and of the results which are
presented in this paper.
KEYWORDS
Banach space, deferred weighted statistical convergence, Korovkin-type approximation theorems,
periodic functions, positive linear operators, rate of convergence, statistical convergence
1 INTRODUCTION, DEFINITIONS, AND MOTIVATION
In the study of sequence spaces, classical convergence has got innumerable applications where the convergence of a
sequence requires that almost all elements are to satisfy the convergence condition, that is, all of the elements of the
sequence need to be in an arbitrarily small neighborhood of the limit. However, such restriction is relaxed in statistical
convergence, where the validity of the convergence condition is achieved only for a majority of elements. The notion of
statistical convergence was introduced and studied by Fast
1
and Steinhaus.
2
Recently, statistical convergence has been a
dynamic research area due basically to the fact that it is more general than the classical convergence and such a theory as
well as its various applications are discussed in the study in the areas of (for example) Fourier analysis, number theory,
and approximation theory. For more details, see the recent works.
3-14
Let N be the set of natural numbers, and let K ⊆ N. Also, let
K
n
={k ∶ k ≦ n and k ∈ K},
Math Meth Appl Sci. 2017;1–13. wileyonlinelibrary.com/journal/mma Copyright © 2017 John Wiley & Sons, Ltd. 1