Results 51 to 60 of about 161 (125)
Interpolation of derivatives and ultradifferentiable regularity
Abstract Interpolation inequalities for Cm$C^m$ functions allow to bound derivatives of intermediate order 0
Armin Rainer, Gerhard Schindl
wiley +1 more source
New Perspectives on Generalised Lacunary Statistical Convergence of Multiset Sequences
This paper explores the concepts of J-lacunary statistical limit points, J-lacunary statistical cluster points, and J-lacunary statistical Cauchy multiset sequences.
María C. Listán-García +2 more
doaj +1 more source
On Sequences With Exponentially Distributed Gaps
ABSTRACT It is well known that a sequence (xn)n∈ℕ⊆[0,1]$$ {\left({x}_n\right)}_{n\in \mathbb{N}}\subseteq \left[0,1\right] $$ which has Poissonian correlations of all orders necessarily has exponentially distributed nearest‐neighbor gaps. It is natural to ask whether this implication also holds in the other direction, that is, whether a sequence with ...
Christoph Aistleitner +2 more
wiley +1 more source
Absolutely continuous and pure point spectra of discrete operators with sparse potentials
We consider the discrete Schrödinger operator H=−Δ+V$$ H=-\Delta +V $$ with a sparse potential V$$ V $$ and find conditions guaranteeing either existence of wave operators for the pair H$$ H $$ and H0=−Δ$$ {H}_0=-\Delta $$ or presence of dense purely point spectrum of the operator H$$ H $$ on some interval [λ0,0]$$ \left[{\lambda}_0,0\right] $$ with λ0<
Stanislav Molchanov +2 more
wiley +1 more source
The Role of Lacunary Statistical Convergence for Double sequences in Neutrosophic Normed Spaces [PDF]
This paper introduces and explores the concept of lacunary statistical convergence of double sequence within the framework neutrosophic normed spaces. Neutrosophic normed spaces extend classical normed spaces by incorporating neutrosophic numbers, which ...
Jenifer. P, Jeyaraman. M
doaj +1 more source
Infinite‐width limit of deep linear neural networks
Abstract This paper studies the infinite‐width limit of deep linear neural networks (NNs) initialized with random parameters. We obtain that, when the number of parameters diverges, the training dynamics converge (in a precise sense) to the dynamics obtained from a gradient descent on an infinitely wide deterministic linear NN.
Lénaïc Chizat +3 more
wiley +1 more source
Generalized s r I -statistical convergence in intuitionistic fuzzy normed linear space [PDF]
The notion of lacunary ideal convergence in intuitionistic fuzzy normed linear space (IFNLS) was introduced in (Debnath, 2012). As a continuation of this work, in the present paper, we introduce and study the new concept of s r I -statistical ...
Nabanita Konwar, Pradip Debnath
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Lacunary sequences related to statistical convergence
In this manuscript, our concern is to introduce the new approach of studying the lacunary almost statistical convergence and strongly almost convergence of the generalized difference sequences of fuzzy numbers. Some interesting and basic properties concerning them will be studied.
openaire +2 more sources
On Asymptotically Lacunary Statistical Equivalent Set Sequences
This paper presents three definitions which are natural combination of the definitions of asymptotic equivalence, statistical convergence, lacunary statistical convergence, and Wijsman convergence.
Uğur Ulusu, Fatih Nuray
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This paper introduces and systematically explores the notion of deferred I $\mathcal{I}$ -lacunary statistical convergence and strongly deferred I $\mathcal{I}$ -lacunary Cesàro convergence for sequences of real numbers, unifying deferred intervals ...
Xiu-Liang Qiu +3 more
doaj +1 more source

