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We analyze decay of Chebyshev coefficients and local Chebyshev approximations for functions of finite regularity on finite intervals, focusing on the framework where the interval length tends to zero while the number of approximation nodes…

Numerical Analysis · Mathematics 2025-09-19 Krishna Yamanappa Poojara , Sabhrant Sachan , Ambuj Pandey

A variant of the well-known Chebyshev inequality for scalar random variables can be formulated in the case where the mean and variance are estimated from samples. In this paper we present a generalization of this result to multiple…

Methodology · Statistics 2017-09-29 Bartolomeo Stellato , Bart Van Parys , Paul J. Goulart

In this paper, we derive optimality conditions (Chebyshev approximation) for multivariate functions. The theory of Chebyshev (uniform) approximation for univariate functions is very elegant. The optimality conditions are based on the notion…

Optimization and Control · Mathematics 2015-10-22 Nadezda Sukhorukova , Julien Ugon , David Yost

In this work, considering a general subclass of bi-univalent functions and using the Chebyshev polynomials, we obtain coefficient expansions for functions in this class.

Complex Variables · Mathematics 2017-02-10 Sahsene Altinkaya , Sibel Yalcin

Gauss--Christoffel quadrature is a fundamental method for numerical integration, and its convergence analysis is closely related to the decay of Chebyshev expansion coefficients. Classical estimates, including those due to Trefethen, are…

Numerical Analysis · Mathematics 2025-12-30 Mehdi Hamzehnejad , Abbas Salemi

When solving differential equations by a spectral method, it is often convenient to shift from Chebyshev polynomials $T_{n}(x)$ with coefficients $a_{n}$ to modified basis functions that incorporate the boundary conditions. For homogeneous…

Numerical Analysis · Mathematics 2022-05-31 Xiaolong Zhang , John P. Boyd

We give upper bounds on the Walsh coefficients of functions for which the derivative of order at least one has bounded variation of fractional order. Further, we also consider the Walsh coefficients of functions in periodic and non-periodic…

Functional Analysis · Mathematics 2013-04-04 Josef Dick

In this paper, we derive new probability bounds for Chebyshev's inequality if the supremum of the probability density function is known. This result holds for one-dimensional or multivariate continuous probability distributions with finite…

Methodology · Statistics 2019-02-12 Tomohiro Nishiyama

In this work, a generalization of Chebyshev functional is presented. New inequalities of Gruss type via Pompeiu's mean value theorem are established. Improvements of some old inequalities are proved. A generalization of pre-Gruss inequality…

Classical Analysis and ODEs · Mathematics 2019-05-24 Mohammad W. Alomari

Approximation theory plays a central role in numerical analysis, undergoing continuous evolution through a spectrum of methodologies. Notably, Lebesgue, Weierstrass, Fourier, and Chebyshev approximations stand out among these methods.…

Numerical Analysis · Mathematics 2024-04-30 S Akansha

Lyapunov equations with low-rank right-hand sides often have solutions whose singular values decay rapidly, enabling iterative methods that produce low-rank approximate solutions. All previously known bounds on this decay involve quantities…

Numerical Analysis · Mathematics 2015-02-02 Jonathan Baker , Mark Embree , John Sabino

In this paper we present results on asymptotic characteristics of multivariate function classes in the uniform norm. Our main interest is the approximation of functions with mixed smoothness parameter not larger than $1/2$. Our focus will…

Functional Analysis · Mathematics 2021-11-01 Vladimir Temlyakov , Tino Ullrich

This paper provides a rigorous and delicate analysis for exponential decay of Jacobi polynomial expansions of analytic functions associated with the Bernstein ellipse. Using an argument that can recover the best estimate for the Chebyshev…

Numerical Analysis · Mathematics 2012-10-09 Xiaodan Zhao , Li-Lian Wang , Ziqing Xie

For convex univalent functions we give instances where the sharp bound for various coefficient functionals are identical to those for the corresponding bound for the inverse function. We give instances where the sharp bounds differ and also…

Complex Variables · Mathematics 2022-12-12 Derek K. Thomas

We prove sharp L^2 boundary decay estimates for the eigenfunctions of certain second order elliptic operators acting in a bounded region, and of their first order space derivatives, using only the Hardy inequality. We then deduce bounds on…

Spectral Theory · Mathematics 2007-05-23 E B Davies

We show that a differential version of the classical Chebyshev-Markov-Stieltjes inequalities holds for a broad family of weight functions. Such a differential version appears to be new. Our results apply to weight functions which are…

Classical Analysis and ODEs · Mathematics 2017-03-14 Shoni Gilboa , Ron Peled

In this paper, we establish a new estimate (including lower and upper bounds) for an important quantity involved in the convergence analysis of smoothed aggregation algebraic multigrid methods. The new upper bound improves the existing…

Numerical Analysis · Mathematics 2019-03-19 Xuefeng Xu , Chen-Song Zhang

Weighted quadratic estimates are proved for certain bisectorial firstorder differential operators with bounded measurable coefficients which are (not necessarily pointwise) accretive, on complete manifolds with positive injectivity radius.…

Analysis of PDEs · Mathematics 2024-05-29 Pascal Auscher , Andrew J. Morris , Andreas Rosén

In this work a sharp bound of the \v{C}eby\v{s}ev functional for absolutely continuous functions $f,g$ whose derivatives $f'\in L_{\infty}[a,b]$ and $g'\in L_{1}[a,b]$ is obtained.

Classical Analysis and ODEs · Mathematics 2023-08-07 Mohammad W. Alomari

In this work, we discuss the problem of approximating a multivariate function by discrete least squares projection onto a polynomial space using a specially designed deterministic point set. The independent variables of the function are…

Numerical Analysis · Mathematics 2014-01-07 Tao Zhou , Akil Narayan , Zhiqiang Xu
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