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In this paper, we introduce the Theta Partial operator $\theta(y\mathbf{D}_{\lambda})$, based on the $\lambda$-derivative operator $\mathbf{D}_{\lambda}$, and use it to define the following generalization of the Lambert series…

Number Theory · Mathematics 2025-07-22 Ronald Orozco López

The main objective of the paper is to obtain sharp Lipschitz type estimates for the norm of operator differences $f(L_1,M_1)-f(L_2,M_2)$ for pairs $(L_1,M_1)$ and $(L_2,M_2)$ of commuting maximal dissipative operators. To obtain such…

Functional Analysis · Mathematics 2020-10-02 Aleksei Alekdandrov , Vladimir Peller

We prove continuity properties of higher order commutators of fractional operators on the multilinear setting, between a product of weighted Lebesgue spaces into certain weighted Lipschitz spaces. The considered operators include the…

Classical Analysis and ODEs · Mathematics 2023-09-11 Fabio Berra , Wilfredo Ramos

In the continuous time random walk model, the time-fractional operator usually expresses an infinite waiting time probability density. Different from that usual setting, this work considers the tempered time-fractional operator, which…

Numerical Analysis · Mathematics 2021-12-16 Libo Feng , Fawang Liu , Vo V. Anh , Shanlin Qin

A conventional linear model for functional data involves expressing a response variable $Y$ in terms of the explanatory function $X(t)$, via the model: $Y=a+\int_I b(t)X(t)dt+\hbox{error}$, where $a$ is a scalar, $b$ is an unknown function…

Methodology · Statistics 2014-07-01 Peter Hall , Giles Hooker

This contribution considers the time-fractional subdiffusion with a time-dependent variable-order fractional operator of order $\beta(t)$. It is assumed that $\beta(t)$ is a piecewise constant function with a finite number of jumps. A proof…

Analysis of PDEs · Mathematics 2025-04-04 Yavar Kian , Marián Slodička , Éric Soccorsi , Karel Van Bockstal

In this paper, through the introduction of partial multiple weights, we firstly study the related Rubio de Francia extrapolation theorem within the framework of partial Muckenhoupt classes and further obtain the corresponding extrapolation…

Classical Analysis and ODEs · Mathematics 2025-05-28 Wang Dinghuai , Yin Huicheng

This paper investigates covariance operator estimation via thresholding. For Gaussian random fields with approximately sparse covariance operators, we establish non-asymptotic bounds on the estimation error in terms of the sparsity level of…

Statistics Theory · Mathematics 2024-03-26 Omar Al-Ghattas , Jiaheng Chen , Daniel Sanz-Alonso , Nathan Waniorek

We prove a pointwise estimate for the decreasing rearrangement of $Tf$, where $T$ is any sublinear operator satisfying the weak-type boundedness $$ T:L^{p,1}(\mu) \to L^{p,\infty}(\nu), \quad \forall p: 1<p_0 < p\leq p_1<\infty, $$ with…

Classical Analysis and ODEs · Mathematics 2024-02-09 Elona Agora , Jorge Antezana , Sergi Baena-Miret , María J. Carro

In this article, we study properties of multilinear Fourier integral operators on weighted modulation spaces. In particular, using the theory of Gabor frames, we study boundedness of multilinear Fourier integral operators on products of…

Functional Analysis · Mathematics 2023-02-22 Aparajita Dasgupta , Lalit Mohan , Shyam Swarup Mondal

We introduce a simple definition of the weight of any given Slater determinant in the coupled-cluster state, namely as the expectation value of the projection operator onto that determinant. The definition can be applied to any…

Chemical Physics · Physics 2025-03-05 Håkon Emil Kristiansen , Håkon Kvernmoen , Simen Kvaal , Thomas Bondo Pedersen

In this paper, we establish a connection between the recently developed data-driven time-frequency analysis \cite{HS11,HS13-1} and the classical second order differential equations. The main idea of the data-driven time-frequency analysis…

Information Theory · Computer Science 2013-12-03 T. Y. Hou , Z. Shi , P. Tavallali

The aim of this paper is to give Adams-Spanne type estimates for parabolic sublinear operators and their commutators by with rough kernels generated by parabolic fractional integral operators under generic size conditions which are…

Analysis of PDEs · Mathematics 2017-08-22 Ferit Gurbuz

The aim of this paper is to get the boundedness of rough sublinear operators generated by fractional integral operators on vanishing generalized weighted Morrey spaces under generic size conditions which are satisfied by most of the…

Functional Analysis · Mathematics 2018-09-25 Ferit Gürbüz

Given $1\leq q<p<\infty$ quantitative weighted L^p estimates, in terms of Aq weights, for vector valued maximal functions, Calder\'on-Zygmund operators, commutators and maximal rough singular integrals are obtained. The results for singular…

Classical Analysis and ODEs · Mathematics 2019-06-03 Joshua Isralowitz , Sandra Pott , Israel P. Rivera-Ríos

We prove sparse bounds for pseudodifferential operators associated to H\"ormander symbol classes. Our sparse bounds are sharp up to the endpoint and rely on a single scale analysis. As a consequence, we deduce a range of weighted estimates…

Classical Analysis and ODEs · Mathematics 2018-03-23 David Beltran , Laura Cladek

In this paper, the weighted Lp boundedness of multilinear commutators and iterated commutators of multilinear singular integral operators with generalized kernels is established, where the weight is multiple weight. Our results are…

Classical Analysis and ODEs · Mathematics 2023-01-31 Liwen Gao , Yan Lin , Shuhui Yang

As our main result, we supply the missing characterization of the $L^p(\mu)\to L^q(\lambda)$ boundedness of the commutator of a non-degenerate Calder\'on--Zygmund operator $T$ and pointwise multiplication by $b$ for exponents $1<q<p<\infty$…

Classical Analysis and ODEs · Mathematics 2025-08-12 Timo S. Hänninen , Emiel Lorist , Jaakko Sinko

Let $\{B_H(t);t\ge 0\}$ be a fractional Brownian motion of order $H\in (0,1)$, and $J_{m,\alpha}(B_H)$ be the $m$-fold weighted integrals of $B_H$ defined as $$ J_{m,\bm\alpha}(B_H)(t) =\int_0^ts_m^{-\alpha_m}\int_0^{s_m}\cdots…

Probability · Mathematics 2026-05-18 Li-Xin Zhang

Many conventional statistical procedures are extremely sensitive to seemingly minor deviations from modeling assumptions. This problem is exacerbated in modern high-dimensional settings, where the problem dimension can grow with and…

Machine Learning · Statistics 2017-02-27 Simon S. Du , Sivaraman Balakrishnan , Aarti Singh
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