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This paper is concerned with the Dirichlet eigenvalue problem for Laplace operator in a bounded domain with periodic perforation in the case of small volume. We obtain the optimal quantitative error estimates independent of the spectral…

Analysis of PDEs · Mathematics 2024-08-27 Zhongwei Shen , Jinping Zhuge

This article deals with error estimates for the finite element approximation of variational normal derivatives and, as a consequence, error estimates for the finite element approximation of Dirichlet boundary control problems with energy…

Numerical Analysis · Mathematics 2018-08-06 Max Winkler

In this work, we investigate the convergence of numerical approximations to coercivity constants of variational problems. These constants are essential components of rigorous error bounds for reduced-order modeling; extension of these…

Numerical Analysis · Mathematics 2022-05-25 Peter Sentz , Jehanzeb Hameed Chaudhry , Luke N. Olson

We consider a random variable $Y$ and approximations $Y\_n$, defined on the same probability space with values in the same measurable space as $Y$. We are interested in situations where the approximations $Y\_n$ allow to define a Dirichlet…

Functional Analysis · Mathematics 2007-05-23 Nicolas Bouleau

We present several new results involving $\Delta(x+U)-\Delta(x)$, where $U = o(x)$ and $$ \Delta(x):=\sum_{n\le x}d(n)-x\log x-(2\gamma-1)x $$ is the error term in the classical Dirichlet divisor problem.

Number Theory · Mathematics 2012-09-06 Aleksandar Ivic , Wenguang Zhai

We consider the forward problem of uncertainty quantification for the generalised Dirichlet eigenvalue problem for a coercive second order partial differential operator with random coefficients, motivated by problems in structural…

Numerical Analysis · Mathematics 2019-05-20 Alexander D. Gilbert , Ivan G. Graham , Frances Y. Kuo , Robert Scheichl , Ian H. Sloan

We introduce an estimation method of covariance matrices in a high-dimensional setting, i.e., when the dimension of the matrix, , is larger than the sample size . Specifically, we propose an orthogonally equivariant estimator. The…

Statistics Theory · Mathematics 2020-12-04 Samprit Banerjee , Stefano Monni

A key quantity that occurs in the error analysis of several numerical methods for eigenvalue problems is the distance between the eigenvalue of interest and the next nearest eigenvalue. When we are interested in the smallest or fundamental…

Numerical Analysis · Mathematics 2024-12-20 Alexander D. Gilbert , Ivan G. Graham , Robert Scheichl , Ian H. Sloan

Assuming the Riemann Hypothesis, we derive explicit bounds for the error terms in short interval analogues of the prime number theorem and Mertens' theorems using a smoothing argument. Our results improve upon previous bounds in both…

Number Theory · Mathematics 2025-10-30 Ethan Simpson Lee

Let $\Delta(x)$ denote the error term in the Dirichlet divisor problem. Our main results are the asymptotic formulas $$ \int_1^X \Delta^3(x){\rm d}x = BX^{7/4} + O_\epsilon(X^{\beta+\epsilon}) \qquad(B > 0) $$ and $$ \int_1^X…

Number Theory · Mathematics 2007-09-24 Aleksandar Ivić , Patrick Sargos

Several results are obtained concerning the function $\Delta_k(x)$, which represents the error term in the general Dirichlet divisor problem. These include the estimates for the integral of this function, as well as for the corresponding…

Number Theory · Mathematics 2007-05-23 Aleksandar Ivic

The paper deals with finite element approximations of elliptic Dirichlet boundary control problems posed on two-dimensional polygonal domains. Error estimates are derived for the approximation of the control and the state variables. Special…

Numerical Analysis · Mathematics 2019-01-28 Thomas Apel , Mariano Mateos , Johannes Pfefferer , Arnd Rösch

In this paper, we investigate the Dirichlet problem on lower dimensional manifolds for a class of weighted elliptic equations with coefficients that are singular on such sets. Specifically, we study the problem \[\begin{cases} -{\rm…

Analysis of PDEs · Mathematics 2025-10-10 Gabriele Fioravanti

We consider the problem of approximating the set of eigenvalues of the covariance matrix of a multivariate distribution (equivalently, the problem of approximating the "population spectrum"), given access to samples drawn from the…

Machine Learning · Computer Science 2017-07-18 Weihao Kong , Gregory Valiant

We consider two classical ensembles of the random matrix theory: the Wigner matrices and sample covariance matrices, and prove Central Limit Theorem for linear eigenvalue statistics under rather weak (comparing with results known before)…

Mathematical Physics · Physics 2011-01-18 Mariya Shcherbina

We study the Dirichlet problem for the weighted Schr\"odinger operator \[-\Delta u +Vu = \lambda \rho u,\] where $\rho$ is a positive weighting function and $V$ is a potential. Such equations appear naturally in conformal geometry and in…

Differential Geometry · Mathematics 2024-03-06 Gabriel Khan , Soumyajit Saha , Malik Tuerkoen

In \cite{colin}, Y. Colin de Verdi\`ere proved that the remainder term in the two-term Weyl formula for the eigenvalue counting function for the Dirichlet Laplacian associated with the planar disk is of order $O(\lambda^{2/3})$. In this…

Spectral Theory · Mathematics 2017-05-23 Jingwei Guo , Weiwei Wang , Zuoqin Wang

Let $\Delta(x)$ be the error term of the Dirichlet divisor problem. An asymptotic formula with the error term $O(T^{53/28+\epsilon})$ is established for the integral $\int_1^T\Delta^4(x)dx.$ Similar results are also established for some…

Number Theory · Mathematics 2008-05-13 Wenguang Zhai

We study the zeros of cross-product of Bessel functions and obtain their approximations, based on which we reduce the eigenvalue counting problem for the Dirichlet Laplacian associated with a planar annulus to a lattice point counting…

Spectral Theory · Mathematics 2019-07-09 Jingwei Guo , Wolfgang Müller , Weiwei Wang , Zuoqin Wang

This paper presents a new discretization error quantification method for the numerical integration of ordinary differential equations. The error is modelled by using the Wishart distribution, which enables us to capture the correlation…

Methodology · Statistics 2023-08-15 Naoki Marumo , Takeru Matsuda , Yuto Miyatake
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