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In this research article, we have primarily focused on the circumstantial investigation of deferred statistical convergence of sequences and investigated some fundamental results compatible with the structure of a probabilistic normed…

Functional Analysis · Mathematics 2024-08-14 Nesar Hossain , Rahul Mondal

This paper introduces statistical order convergence and its pointwise variant for sequences of order bounded operators between Riesz spaces. We establish fundamental properties: uniqueness of the limit, stability under lattice operations,…

Functional Analysis · Mathematics 2025-12-30 Abdullah Aydın , Erdal Bayram , İshak Aydın

The statistical convergence is defined for sequences with the asymptotic density on the natural numbers, in general. In this paper, we introduce the statistical convergence for nets in Riesz spaces by using the finite additive measures on…

Functional Analysis · Mathematics 2021-05-19 Abdullah Aydın , Fatih Temizsu

The statistically unbounded $p$-convergence is an abstraction of the statistical order, unbounded order, and $p$-convergences. We investigate the concept of the statistically unbounded convergence on lattice-normed Riesz spaces with respect…

Functional Analysis · Mathematics 2022-04-28 Abdullah Aydın

The statistical convergence is handled for sequences with the natural density, in general. In a recent paper, the statistical convergence for nets in Riesz spaces has been studied and investigated by developing topology-free techniques in…

Functional Analysis · Mathematics 2021-05-28 Fatih Temizsu , Abdullah Aydın

We introduce and study deferred N\"{o}rlund statistical convergence in probability, mean of order $r,$ distribution, and study the interrelation among them. Based upon the proposed method to illustrate the findings, we present new Korovkin…

Probability · Mathematics 2022-06-03 Kuldip Raj , Swati Jasrotia , Reza Saadati

This is an overview of merging the techniques of Riesz space theory and convex geometry.

Functional Analysis · Mathematics 2011-05-31 S. S. Kutateladze

In this paper, we introduce the statistically multiplicative convergent sequences in locally solid Riesz algebras with respect to the algebra multiplication and the solid topology. We study on this concept and we give the notion of…

Functional Analysis · Mathematics 2020-04-27 Abdullah Aydın , Mikail Et

A sequence $(x_n)$ in a lattice-normed space $(X,p,E)$ is statistical $p$-convergent to $x\in X$ if there exists a statistical $p$-decreasing sequence $q\stpd 0$ with an index set $K$ such that $\delta(K)=1$ and $p(x_{n_k}-x)\leq q_{n_k}$…

Functional Analysis · Mathematics 2022-04-25 Abdullah Aydın , Reha Yapalı , Erdal Korkmaz

Numerical methods for fractional calculus attract increasing interests due to its wide applications in various fields such as physics, mechanics, etc. In this paper, we focus on constructing high-order algorithms for Riesz derivatives,…

Numerical Analysis · Mathematics 2016-11-22 Hengfei Ding , Changpin Li

The present study introduces the notions of statistical convergence of order $\alpha$ and strong $p-$ Ces\`{a}ro summability of order $\alpha$ in partial metric spaces. Also, we examine the inclusion relations between these concepts. In…

General Mathematics · Mathematics 2023-04-06 Erdal Bayram , Çiğdem Bektaş , Yavuz Altın

In this paper ideas of different types of convergence of a sequence of random variables in probability, namely, statistical convergence of order $\alpha$ in probability, strong $p$-Ces$\grave{\mbox{a}}$ro summability of order $\alpha$ in…

Probability · Mathematics 2016-05-19 Pratulananda Das , Sanjoy Ghosal , Sumit Som

We study the statistical convergence of metric valued sequences and of their subsequences. The interplay between the statistical and usual convergences in metric spaces is also studied.

Functional Analysis · Mathematics 2012-03-13 M. Kuchukaslan , U. Deger , O. Dovgoshey

A class of high-order numerical algorithms for Riesz derivatives are established through constructing new generating functions. Such new high-order formulas can be regarded as the modification of the classical (or shifted) Lubich's…

Numerical Analysis · Mathematics 2016-11-23 Hengfei Ding , Changpin Li

Organising the relevant literature and by letting statistical convergence play the main role in the theory of compactness, a variant of compactness called statistical compactness has been achieved. As in case of sequential compactness, one…

General Topology · Mathematics 2022-01-21 Manoranjan Singha , Ujjal Kumar Hom

In this paper we introduce the notions of statistical convergence and statistical Cauchyness of sequences in a metric-like space. We study some basic properties of these notions

General Topology · Mathematics 2024-07-11 Prasanta Malik , Saikat Das

In this paper, we establish even order compact numerical schemes (4th-order, 6th-order, 8th-order, 10th-order) for Riesz derivatives by using the symmetrical fractional centred difference operator. Then we apply the derived 4th-order…

Numerical Analysis · Mathematics 2017-05-25 Hengfei Ding , Changpin Li

This paper introduces a new approach to the study of rates of convergence for posterior distributions. It is a natural extension of a recent approach to the study of Bayesian consistency. In particular, we improve on current rates of…

Statistics Theory · Mathematics 2007-08-22 Stephen G. Walker , Antonio Lijoi , Igor Prünster

The aim of this study is to clarify the consequences of recent theoretical results for the numerical computation of expectation by the shift method, and in particular to yield sufficient criteria for the existence of speed of convergence of…

Probability · Mathematics 2007-05-23 Nicolas Bouleau

In this paper, we propose numerical scheme for the Riesz space fractional advection-dispersion equations with delay (RFADED). Firstly, analytical solution for RFADED in terms of the functions of Mittag-Leffler type is derived. Secondly, the…

Numerical Analysis · Mathematics 2021-07-22 M. Saedshoar Heris , M. Javidi
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