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We present a covariant study of static space-times, as such and as solutions of gravity theories. By expressing the relevant tensors through the velocity and the acceleration vectors that characterise static space-times, the field equations…

General Relativity and Quantum Cosmology · Physics 2023-09-14 Carlo Alberto Mantica , Luca Guido Molinari

We prescribe a choice of 18 variables in all that casts the equations of the fully nonlinear characteristic formulation of general relativity in first--order quasi-linear canonical form. At the analytical level, a formulation of this type…

General Relativity and Quantum Cosmology · Physics 2011-07-19 Roberto Gomez , Simonetta Frittelli

The ``close limit,'' a method based on perturbations of Schwarzschild spacetime, has proved to be a very useful tool for finding approximate solutions to models of black hole collisions. Calculations carried out with second order…

General Relativity and Quantum Cosmology · Physics 2009-10-31 A. Garat , R. H. Price

In this note, when the dimension $p$ is large we look into the insight of the Mar$\check{c}$enko-Pastur equation to get an explicit equality relationship, and use the obtained equality to establish a new kind of orthogonally equivariant…

Statistics Theory · Mathematics 2024-11-05 Ming-Tien Tsai , Chia-Hsuan Tsai

Using the framework of the Covariant Spectator Theory (CST) [1] we are developing a covariant model formulated in Minkowski space to study mesonic structure and spectra. Treating mesons as effective $q\bar{q}$ states, we focused in [2] on…

High Energy Physics - Phenomenology · Physics 2014-11-18 S. Leitão , A. Stadler , M. T. Peña , E. P. Biernat

Sufficient conditions for the invariance of evolution problems governed by perturbations of (possibly nonlinear) $m$-accretive operators are provided. The conditions for the invariance with respect to sublevel sets of a constraint…

Analysis of PDEs · Mathematics 2020-12-21 Aleksander Ćwiszewski , Grzegorz Gabor , Wojciech Kryszewski

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 investigate the space of $U(N)$ gauge-invariant operators in coupled matrix-vector systems at finite $N$, extending previous work on single matrix models. By using the Molien-Weyl formula, we compute the partition function and identify…

High Energy Physics - Theory · Physics 2025-06-30 Robert de Mello Koch , Animik Ghosh , Hendrik J. R. Van Zyl

We give necessary and sufficient conditions for the existence of weak solutions of a parabolic problem corresponding to the Kolmogorov operators perturbed by a multipolar inverse square potential with respect to the Gaussian probability…

Analysis of PDEs · Mathematics 2017-08-03 A. Canale , F. Pappalardo

In this paper we address the problem of estimating the operator norm of the embeddings between multidimensional weighted Paley-Wiener spaces. These can be equivalently thought as Fourier uncertainty principles for bandlimited functions. By…

Covariance representations are developed for the uniform distributions on the Euclidean spheres in terms of spherical gradients and Hessians. They are applied to derive a number of Sobolev type inequalities and to recover and refine the…

Probability · Mathematics 2024-03-29 Sergey G. Bobkov , Devraj Duggal

We detail an approach to develop Stein's method for bounding integral metrics on probability measures defined on a Riemannian manifold $\mathbf M$. Our approach exploits the relationship between the generator of a diffusion on $\mathbf M$…

Probability · Mathematics 2023-04-28 Huiling Le , Alexander Lewis , Karthik Bharath , Christopher Fallaize

Finding the eigenvalues connected to the covariance operator of a centred Hilbert-space valued Gaussian process is genuinely considered a hard problem in several mathematical disciplines. In statistics this problem arises for instance in…

Statistics Theory · Mathematics 2024-08-16 Bruno Ebner , María Dolores Jiménez-Gamero , Bojana Milošević

We consider the pointwise weighted approximation by Bernstein operators with inner singularities. The related weight functions are weights $\bar{w}(x)=|x-\xi|^\alpha(0<\xi<1,\ \alpha>0).$ In this paper we give direct and inverse results of…

Functional Analysis · Mathematics 2011-05-25 Wen-ming Lu , Lin Zhang

Applying an inductive technique for Stein and zero bias couplings yields Berry-Esseen theorems for normal approximation for two new examples. The conditions of the main results do not require that the couplings be bounded. Our two…

Probability · Mathematics 2020-05-12 Louis H. Y. Chen , Larry Goldstein , Adrian Röllin

This paper proves existence of optimizers of the Stein-Weiss inequalities on Carnot groups under some conditions. The adjustment of Lions' concentration compactness principles to Carnot groups plays an important role in our proof. Unlike…

Functional Analysis · Mathematics 2014-03-03 Tingxi Hu , Pengcheng Niu

It is well known that general variational inequalities provide us with a unified, natural, novel and simple framework to study a wide class of unrelated problems, which arise in pure and applied sciences. In this paper, we present a number…

Optimization and Control · Mathematics 2020-09-24 M. A. Noor , K. I. Noor , M. Th. Rassias

In this article, we present several inequalities treating operator means and the Cauchy-Schwarz inequality. In particular, we present some new comparisons between operator Heron and Heinz means, several generalizations of the difference…

Functional Analysis · Mathematics 2021-07-23 Y. Kapil , C. Conde , M. S. Moslehian , M. Singh , M. Sababheh

In this paper we propose a new regression interpretation of the Cholesky factor of the covariance matrix, as opposed to the well known regression interpretation of the Cholesky factor of the inverse covariance, which leads to a new class of…

Methodology · Statistics 2009-03-05 Adam J. Rothman , Elizaveta Levina , Ji Zhu

Weighted Poincar\'e-type and related inequalities provide upper bounds of the variance of functions. Their application in sensitivity analysis allows for quickly identifying the active inputs. Although the efficiency in prioritizing inputs…

Probability · Mathematics 2019-12-06 Matieyendou Lamboni