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We prove a Wiener-type theorem for arcs in the unit circle which concerns express the measure of an arc in the unit circle via the measure's Fourier coefficients. Then we use it to give the Fourier series of the Cantor and to compute the…

Functional Analysis · Mathematics 2024-09-10 Huichi Huang

We study a (relativistic) Wiener process on a complexified (pseudo-)Riemannian manifold. Using Nelson's stochastic quantization procedure, we derive three equivalent descriptions for this problem. If the process has a purely real quadratic…

Mathematical Physics · Physics 2022-05-17 Folkert Kuipers

We propose a fairly simple and natural extension of Stollmann's lemma to correlated random variables. This extension allows (just as the original Stollmann's lemma does) to obtain Wegner-type estimates even in some problems of spectral…

Mathematical Physics · Physics 2007-05-23 Victor Tchoulaevski

Diffusive representations of fractional differential and integral operators can provide a convenient means to construct efficient numerical algorithms for their approximate evaluation. In the current literature, many different variants of…

Numerical Analysis · Mathematics 2024-07-15 Kai Diethelm

We study the fundamental problem of the calculus of variations with variable order fractional operators. Fractional integrals are considered in the sense of Riemann-Liouville while derivatives are of Caputo type.

Optimization and Control · Mathematics 2013-02-07 Tatiana Odzijewicz , Agnieszka B. Malinowska , Delfim F. M. Torres

In this work, a higher regularized trace formula has been found for a regular Sturm-Liouville differential operator with operator coefficient.

Classical Analysis and ODEs · Mathematics 2018-02-01 Serpil Karayel , Yonca Sezer , Ozlem Baksi

We obtain explicit formulas for the Neumann coefficients and associated quantities that appear in the three-string vertex for type IIB string theory in a plane-wave background, for any value of the mass parameter mu. The derivation involves…

High Energy Physics - Theory · Physics 2009-11-07 Yang-Hui He , John H. Schwarz , Marcus Spradlin , Anastasia Volovich

In this note, a Wegner estimate for random divergence-type operators that are monotone in the randomness is proven. The proof is based on a recently shown unique continuation estimate for the gradient and the ensuing eigenvalue liftings.…

Mathematical Physics · Physics 2021-06-22 Alexander Dicke

We investigate the fluctuations and large deviations of the root of largest modulus in a model of random polynomial with independent complex Gaussian coefficients (Kac polynomials). The fluctuations were recently computed by R. Butez (arxiv…

Probability · Mathematics 2017-06-26 Yacine Barhoumi-Andréani

The quantile varying coefficient (VC) model can flexibly capture dynamical patterns of regression coefficients. In addition, due to the quantile check loss function, it is robust against outliers and heavy-tailed distributions of the…

Methodology · Statistics 2023-07-11 Fei Zhou , Jie Ren , Shuangge Ma , Cen Wu

In this paper we study weighted estimates for the multi-frequency $\omega-$Calder\'{o}n-Zygmund operators $T$ associated with the frequency set $\Theta=\{\xi_1,\xi_2,\dots,\xi_N\}$ and modulus of continuity $\omega$ satisfying the usual…

Classical Analysis and ODEs · Mathematics 2023-08-15 Saurabh Shrivastava , K. S. Senthil Raani

We propose a statistical approach for estimating the mean line width in spectra comprising Lorentzian, Gaussian, or Voigt line shapes. Our approach uses Gaussian processes in two stages to jointly model a spectrum and its Fourier transform.…

Applications · Statistics 2025-06-27 Erik Kuitunen , Matthew T. Moores , Teemu Härkönen

The subject of this work is the multivariate generalization of the theory of multiple Wiener--It\^o integrals. In the scalar valued case this theory was described in paper\cite{11}. Our proofs apply the technique of this work, but in the…

Probability · Mathematics 2023-09-11 Peter Major

A new method of frequency analysis is presented in detail. This new method - Variable Sine Algorithmic Analysis, (VSAA) - is based on a single variable sine function and it is powered by the simplex algorithm. It is used in cases of…

Astrophysics · Physics 2007-09-21 S. Tsantilas , H. Rovithis-Livaniou

In this paper we derive Carleman estimates for the fractional relativistic operator. We consider changing-sign solutions to the heat equation for such operators. We prove monotonicity inequalities and convexity of certain energy functionals…

Analysis of PDEs · Mathematics 2022-01-27 Luz Roncal , Diana Stan , Luis Vega

We consider the Cauchy-problem for a class of scalar linear dispersive equations with rapidly oscillating initial data. The problem of high-frequency asymptotics of such models is reviewed,in particular we highlight the difficulties in…

Mathematical Physics · Physics 2007-05-23 Christof Sparber , Peter A. Markowich , Norbert J. Mauser

We solve the several complex variables preSchwarzian operator equation $[Df(z)]^{-1}D^2f(z)=A(z)$, $z\in \C^n$, where $A(z)$ is a bilinear operator and $f$ is a $\C^n$ valued locally biholomorphic function on a domain in $\C^n$. Then one…

Complex Variables · Mathematics 2010-06-18 Hernández Rodrigo

The main purpose of this paper is to establish a noncommutative analogue of the Efron--Stein inequality, which bounds the variance of a general function of some independent random variables. Moreover, we state an operator version including…

Functional Analysis · Mathematics 2021-07-23 Ali Talebi , Mohammad Sal Moslehian

This article proposes a co-variance operator for Banach valued random elements using the concept of $U$-statistic. We then study the asymptotic distribution of the proposed co-variance operator along with related large sample properties.…

Statistics Theory · Mathematics 2023-11-20 Suprio Bhar , Subhra Sankar Dhar

Covariance estimation is essential yet underdeveloped for analyzing multivariate functional data. We propose a fast covariance estimation method for multivariate sparse functional data using bivariate penalized splines. The tensor-product…

Methodology · Statistics 2019-06-11 Cai Li , Luo Xiao , Sheng Luo