Difference Operator

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Uğur Kadak - One of the best experts on this subject based on the ideXlab platform.

  • Relative weighted almost convergence based on fractional-order Difference Operator in multivariate modular function spaces
    Revista de la Real Academia de Ciencias Exactas Físicas y Naturales. Serie A. Matemáticas, 2018
    Co-Authors: Uğur Kadak
    Abstract:

    In the present paper, we introduce the concept of relative weighted almost convergence and its weighted statistical extensions in multivariate modular function spaces based on a new type fractional-order double Difference Operator $$\nabla ^{a,b,c}_h$$ . We first define the concepts of weighted almost $$\nabla $$ -statistical convergence and statistical weighted almost $$\nabla $$ -convergence of double sequences. By using the notion of relative uniform convergence involving a scale function $$\sigma $$ , we introduce modular relative weighted almost statistical convergence and modular relative statistical weighted almost convergence of double sequences. We then obtain some inclusion relations between these proposed methods and provide some counterexamples that show that these are non-trivial and proper extensions of the existing literature on this topic. Moreover, we apply the relative statistical weighted almost convergence of a double sequence of positive linear Operators to prove some Korovkin-type theorems in multivariate modular spaces by considering several kinds of test functions. Finally, we present a non-trivial application to generalized Boolean sum (GBS) Operators of bivariate generalized Bernstein–Durrmeyer Operators.

  • generalized statistically almost convergence based on the Difference Operator which includes the p q gamma function and related approximation theorems
    Results in Mathematics, 2018
    Co-Authors: Uğur Kadak, S A Mohiuddine
    Abstract:

    This paper is devoted to extend the notion of almost convergence and its statistical forms with respect to the Difference Operator involving (p, q)-gamma function and an increasing sequence $$(\lambda _n)$$ of positive numbers. We firstly introduce some new concepts of almost $${\Delta }^{[a,b,c]}_{h, \alpha , \beta }(\lambda )$$ -statistical convergence, statistical almost $${\Delta }^{[a,b,c]}_{h, \alpha , \beta }(\lambda )$$ -convergence and strong almost $$[{\Delta }^{[a,b,c]}_{h, \alpha , \beta }(\lambda )]_r$$ -convergence. Moreover, we present some inclusion relations between these newly proposed methods and give some counterexamples to show that these are non-trivial generalizations of existing literature on this topic. We then prove a Korovkin type approximation theorem for functions of two variables through statistically almost $${\Delta }^{[a,b,c]}_{h, \alpha , \beta }(\lambda )$$ -convergence and also present an illustrative example via bivariate non-tensor type Meyer–Konig and Zeller generalization of Bernstein power series. Furthermore, we estimate the rate of almost convergence of approximating linear Operators by means of the modulus of continuity and derive some Voronovskaja type results by using the generalized Meyer–Konig and Zeller Operators. Finally, some computational and geometrical interpretations for the convergence of Operators to a function are presented.

  • generalized weighted invariant mean based on fractional Difference Operator with applications to approximation theorems for functions of two variables
    Results in Mathematics, 2017
    Co-Authors: Uğur Kadak
    Abstract:

    In the present article, following a very recent and new approach of Baliarsingh (Alexandria Eng. J., 55(2):1811–1816, 2016), we introduce the notions of statistically \(\sigma \)-convergence and \(\sigma \)-statistically convergence by the weighted method with respect to the Difference Operator \(\varDelta ^{\alpha ,\beta ,\gamma }_h\). Some inclusion relations between proposed methods are examined. As an application, we prove a Korovkin type approximation theorem for functions of two variables. Also, by using generalized Meyer–Konig and Zeller Operator, we present an example such that our proposed method works but its classical and statistical versions do not work. Finally, we estimate the rate of statistically weighted \(\sigma (\varDelta ^{\alpha ,\beta ,\gamma }_h)\)-convergence of approximating positive linear Operators and give a Voronovskaja-type theorem.

  • weighted statistical convergence based on generalized Difference Operator involving p q gamma function and its applications to approximation theorems
    Journal of Mathematical Analysis and Applications, 2017
    Co-Authors: Uğur Kadak
    Abstract:

    Abstract In this work, following a new approach of Baliarsingh (2016) [6] , we introduce the concepts of statistically weighted Ψ Δ p , q -summability, weighted Ψ Δ p , q -statistical convergence and weighted strongly Ψ Δ p , q -summability with respect to the Difference Operator Δ h , p , q α , β , γ including ( p , q ) -analogue of Gamma function. Some inclusion relations between newly proposed methods are examined. We then prove a Korovkin type approximation theorem for functions of two variables and also present an example via ( p , q ) -analogue of modified Bernstein–Schurer Operators to show that our proposed method is stronger than its classical and weighted statistical versions. Furthermore, we compute the rate of convergence of approximating positive linear Operators through the modulus of continuity. Finally, we present computational and geometrical approaches to illustrate some of our results in this paper.

Mohamed Ali Mourou - One of the best experts on this subject based on the ideXlab platform.

P. Baliarsingh - One of the best experts on this subject based on the ideXlab platform.

  • Compactness of binomial Difference Operator of fractional order and sequence spaces
    Rendiconti del Circolo Matematico di Palermo Series 2, 2019
    Co-Authors: Taja Yaying, Bipan Hazarika, P. Baliarsingh
    Abstract:

    In this article we introduce binomial Difference sequence spaces of fractional order $$\alpha ,$$ α , $$b_0^{r,s}\left( \Delta ^{(\alpha )}\right) ,$$ b 0 r , s Δ ( α ) , $$b_c^{r,s}\left( \Delta ^{(\alpha )}\right) $$ b c r , s Δ ( α ) and $$b_{\infty }^{r,s}\left( \Delta ^{(\alpha )}\right) $$ b ∞ r , s Δ ( α ) by employing fractional Difference Operator $$\Delta ^{(\alpha )},$$ Δ ( α ) , defined by $$\Delta ^{(\alpha )}x_k=\sum \limits _{i=0}^{\infty }(-1)^i\frac{\Gamma (\alpha +1)}{i!\Gamma (\alpha -i+1)}x_{k-i}.$$ Δ ( α ) x k = ∑ i = 0 ∞ ( - 1 ) i Γ ( α + 1 ) i ! Γ ( α - i + 1 ) x k - i . We give some topological properties, obtain the Schauder basis and determine the $$\alpha -,$$ α - , $$\beta -$$ β - and $$\gamma -$$ γ - duals of the spaces. We characterize the matrix classes $$(b_c^{r,s}(\Delta ^{(\alpha )}),\ell _p),$$ ( b c r , s ( Δ ( α ) ) , ℓ p ) , $$(b_c^{r,s}(\Delta ^{(\alpha )}),\ell _{\infty })$$ ( b c r , s ( Δ ( α ) ) , ℓ ∞ ) and $$(b_c^{r,s}(\Delta ^{(\alpha )}),c).$$ ( b c r , s ( Δ ( α ) ) , c ) . We characterize certain classes of compact Operators on the space $$b_c^{r,s}(\Delta ^{(\alpha )})$$ b c r , s ( Δ ( α ) ) using Hausdorff measure of non-compactness. Finally, we present the graphical interpretation of the Operator $$B^{r,s}\left( \Delta ^{(\alpha )}\right) $$ B r , s Δ ( α ) .

  • On certain Toeplitz matrices via Difference Operator and their applications
    Afrika Matematika, 2016
    Co-Authors: P. Baliarsingh, S. Dutta
    Abstract:

    In this paper, we introduce a new Difference Operator $$B(\tilde{r},\tilde{s},\tilde{t},\tilde{u})$$ B ( r ~ , s ~ , t ~ , u ~ ) , defined by $$(B(\tilde{r},\tilde{s},\tilde{t},\tilde{u})x)_k=r_kx_k+s_{k-1}x_{k-1}+t_{k-2}x_{k-2}+u_{k-3}x_{k-3},$$ ( B ( r ~ , s ~ , t ~ , u ~ ) x ) k = r k x k + s k - 1 x k - 1 + t k - 2 x k - 2 + u k - 3 x k - 3 , where $$\tilde{r},\tilde{s},\tilde{t},\tilde{u}$$ r ~ , s ~ , t ~ , u ~ are convergent sequences of real numbers satisfying certain conditions and any term with negative subscript is equal to zero. In fact, as the generalizations of most of the Difference Operators, the Operator $$B(\tilde{r},\tilde{s},\tilde{t},\tilde{u})$$ B ( r ~ , s ~ , t ~ , u ~ ) includes the Difference Operators $$\Delta ^{1}, \Delta ^{2}, \Delta ^{3}, \Delta _\nu ,\Delta _{uv},B(r,s)$$ Δ 1 , Δ 2 , Δ 3 , Δ ν , Δ u v , B ( r , s ) and B ( r ,  s ,  t ). We determine certain Toeplitz matrices such as Fibonacci and other summable matrices which can be obtained immediately by taking the inverse of the Difference Operator $$B(\tilde{r},\tilde{s},\tilde{t},\tilde{u})$$ B ( r ~ , s ~ , t ~ , u ~ ) under some limiting conditions. Moreover, their spectral and other basic properties have been studied.

  • On a fractional Difference Operator
    Alexandria Engineering Journal, 2016
    Co-Authors: P. Baliarsingh
    Abstract:

    Abstract In the present article, a set of new Difference sequence spaces of fractional order has been introduced and subsequently, an application of these spaces, the notion of the derivatives and the integrals of a function to the case of non-integer order have been generalized. Certain results involving the unusual and non-uniform behavior of the corresponding Difference Operator have been investigated and also been verified by using some counter examples. We also verify these unusual and non-uniform behaviors by studying the geometry of fractional calculus.

  • On the Spectral Properties of the Weighted Mean Difference Operator over the Sequence Space
    International Journal of Analysis, 2014
    Co-Authors: P. Baliarsingh, S. Dutta
    Abstract:

    In the present work the generalized weighted mean Difference Operator has been introduced by combining the generalized weighted mean and Difference Operator under certain special cases of sequences and . For any two sequences and of either constant or strictly decreasing real numbers satisfying certain conditions the Difference Operator is defined by with for all . Furthermore, we compute the spectrum and the fine spectrum of the Operator over the sequence space . In fact, we determine the spectrum, the point spectrum, the residual spectrum, and the continuous spectrum of this Operator on the sequence space .

  • on the spectrum of 2 nd order generalized Difference Operator delta 2 over the sequence space c_0
    Boletim da Sociedade Paranaense de Matemática, 2013
    Co-Authors: S. Dutta, P. Baliarsingh
    Abstract:

    The main purpose of this article is to determine the spectrum and the fine spectrum of second order Difference Operator � 2 over the sequence space c0. For any sequence (xk) 1 in c0, the generalized second order Difference Operator � 2 over c0 is defined by � 2 (x) = P2=0 ( 1) i 2 � xk i = xk 2xk 1 + xk 2, with

Khalifa Trimeche - One of the best experts on this subject based on the ideXlab platform.

Yu. B. Melnikov - One of the best experts on this subject based on the ideXlab platform.