Results 21 to 30 of about 223,713 (274)
On Rough Statistical Convergence in Neutrosophic Normed Spaces [PDF]
In this paper, we have presented rough statistical convergence of sequence on neutrosophic normed spaces as an important convergence criterion. As neutrosophication can handle partially dependent components, partially independent components and even ...
Reena Antal +2 more
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Solving linear parabolic rough partial differential equations [PDF]
We study linear rough partial differential equations in the setting of [Friz and Hairer, Springer, 2014, Chapter 12]. More precisely, we consider a linear parabolic partial differential equation driven by a deterministic rough path $\mathbf{W}$ of H ...
Bayer, Christian +4 more
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A simple proof of distance bounds for Gaussian rough paths [PDF]
We derive explicit distance bounds for Stratonovich iterated integrals along two Gaussian processes (also known as signatures of Gaussian rough paths) based on the regularity assumption of their covariance functions.
Riedel, Sebastian, Xu, Weijun
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On the pathwise approximation of stochastic differential equations [PDF]
We consider one-step methods for integrating stochastic differential equations and prove pathwise convergence using ideas from rough path theory. In contrast to alternative theories of pathwise convergence, no knowledge is required of convergence in pth ...
Shardlow, Tony, Taylor, Phillip
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A Note on Rough Abel Convergence
In this paper, we define a new type of Abel convergence by using the rough convergence of a sequence. We also obtained some results for this convergence.
Öznur ÖLMEZ, Ulas YAMANCİ
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Mortise and tenon joints are widely used in the building and furniture industries because of their excellent mechanical and eco-friendly properties. In real-life cases, there are usually many available alternative structures for a joint area, it is a ...
Bin Shang, Zhe Chen, Qing Ma, Yuhang Tan
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On Generalized Difference Rough Ideal Statistical Convergence in Neutrosophic Normed Spaces [PDF]
This article’s main goal is to provide and investigate a novel statistical convergence generalisation for generalized difference sequences in Neutrosophic Normed Spaces (NNS) called rough ideal statistical convergence.
Manpreet Kaur, Meenakshi Chawla
doaj +1 more source
Functional central limit theorems for rough volatility [PDF]
We extend Donsker's approximation of Brownian motion to fractional Brownian motion with Hurst exponent $H \in (0,1)$ and to Volterra-like processes. Some of the most relevant consequences of our `rough Donsker (rDonsker) Theorem' are convergence results ...
Horvath, Blanka +3 more
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Ramazan Sunar, Rough convergence in A-metric spaces
The purpose of this study is to define rough convergence of sequences in an A-metric space, discuss its fundamental properties, and examine the relationships between rough convergence and rough Cauchy sequence in A-metric spaces.
Mukaddes Arslan
doaj
ROUGH ∆I-STATISTICAL CONVERGENCE
In this study, we examine rough.I-statistical convergence for difference sequences as an extension of rough convergence. We investigate the set of rough Delta I-statistical limit points of a difference sequence and analyze the results with proofs.
Kişi, Ömer, Dundar, Erdinc
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