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Related papers: Can one improve the Froissart bound?

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Proof of the Froissart theorem is reconsidered in a different way to extract its necessary conditions. Two physical inputs, unitarity and absence of massless intermediate hadrons, are indisputable. Also important are mathematical properties…

High Energy Physics - Phenomenology · Physics 2013-05-29 Ya. Azimov

I try to describe the extremely fruitful interaction I had with Harry Lehmann and the results which came out of the analyticity unitarity programme, especially the proof of the Froissart bound, which, with recent and future measurements of…

High Energy Physics - Phenomenology · Physics 2011-07-19 A. Martin

Consider a meromorphic connection on P^1 over a p-adic field. In many cases, such as those arising from Picard-Fuchs equations or Gauss-Manin connections, this connection admits a Frobenius structure defined over a suitable rigid analytic…

Number Theory · Mathematics 2012-01-13 Kiran S. Kedlaya , Jan Tuitman

The complete set of bounds for the technical constants of an elastic layer, plate or laminate is given. The bounds are valid in general, also for completely anisotropic bodies. They are obtained transforming the polar bounds previously…

Classical Physics · Physics 2023-11-15 Paolo Vannucci

We discuss the determination of the Lam\'e parameters of an elastic material by the means of boundary measurements. We will combine previous results of Eskin-Ralston and Isakov to prove inverse results in the case of bounded domains with…

Analysis of PDEs · Mathematics 2020-06-24 Moritz Doll , André Froehly , René Schulz

A physically reasonable model is introduced in order to estimate, in a functional way, the vast number of distinct graphs which are conventionally neglected in eikonal scattering models that lead to total cross sections increasing with…

High Energy Physics - Theory · Physics 2009-11-07 H. M. Fried , Y. Gabellini

In a recent work, Klartag gave an improved version of Lichnerowicz' spectral gap bound for uniformly log-concave measures, which improves on the classical estimate by taking into account the covariance matrix. We analyze the equality cases…

Functional Analysis · Mathematics 2024-04-19 Thomas A. Courtade , Max Fathi

A priori bound for the parameter to be estimated is incorporated into confidence intervals within frequentistic approach in a straightforward and optimal fashion, ensuring the best resolution of non-boundary values as well as robustness for…

Data Analysis, Statistics and Probability · Physics 2011-04-06 Fyodor V. Tkachov

We give a novel derivation of Holevo's bound using an important result from nonequilibrium statistical physics, the fluctuation theorem. To do so we develop a general formalism of quantum fluctuation theorems for two-time measurements,…

Quantum Physics · Physics 2012-10-24 Dvir Kafri , Sebastian Deffner

In this short note we derive, for bounded domains, an upper bound for a Friedrichs type constant in a weighted Friedrichs type inequality. This upper bound generalizes a well known upper bound of the Friedrichs constant. This upper bound is…

Analysis of PDEs · Mathematics 2019-03-05 Immanuel Anjam , Dirk Pauly

The idea of the restricted mean has been used to establish a significantly improved version of Markov's inequality that does not require any new assumptions. The result immediately extends on Chebyshev's inequalities and Chernoff's bound.…

Statistics Theory · Mathematics 2023-08-09 Joan del Castillo

Certain smoothing inequalities were proposed in the recent paper posted on arXiv at arxiv:1301.2828 in order to lessen the very large gap between the best correctly established upper and lower bounds on the constant factor in the nonuniform…

Probability · Mathematics 2013-04-30 Iosif Pinelis

The aim of this paper is to give a short overview on error bounds and to provide the first bricks of a unified theory. Inspired by the works of [8, 15, 13, 16, 10], we show indeed the centrality of the Lojasiewicz gradient inequality. For…

Optimization and Control · Mathematics 2017-05-02 Trong Phong Nguyen

We give effective bounds for the uniformity of the Iitaka fibration. These bounds follow from an effective theorem on the birationality of some adjoint linear series. In particular we derive an effective version of the main theorem in [17].

Algebraic Geometry · Mathematics 2011-11-30 Gabriele Di Cerbo

We improve using elementary means an explicit bound on the divisor function due to Friedlander and Iwaniec. Consequently we modestly improve a result regarding a sieving inequality for Gaussian sequences.

Number Theory · Mathematics 2018-01-15 Jeffrey P. S. Lay

Let $\bf f$ be a primitive Hilbert cusp form of weight $k$ and level $\mathfrak{n}$ with Fourier coefficients $c_{\bf f}(\mathfrak{m})$. We prove a non-trivial upper bound for almost all Fourier coefficients $c_{\bf f}(\mathfrak{m})$ of…

Number Theory · Mathematics 2020-10-09 Balesh Kumar

This paper proves that robustness implies generalization via data-dependent generalization bounds. As a result, robustness and generalization are shown to be connected closely in a data-dependent manner. Our bounds improve previous bounds…

Machine Learning · Computer Science 2022-08-04 Kenji Kawaguchi , Zhun Deng , Kyle Luh , Jiaoyang Huang

This paper is devoted to the proof of Lipschitz regularity, down to the microscopic scale, for solutions of an elliptic system with highly oscillating coefficients, over a highly oscillating Lipschitz boundary. The originality of this…

Analysis of PDEs · Mathematics 2015-04-08 Carlos Kenig , Christophe Prange

One method to determine whether or not a system of partial differential equations is consistent is to attempt to construct a solution using merely the "algebraic data" associated to the system. In technical terms, this translates to the…

Commutative Algebra · Mathematics 2017-11-13 Richard Gustavson , Omar León Sánchez

In this paper, we improve the PAC-Bayesian error bound for linear regression derived in Germain et al. [10]. The improvements are twofold. First, the proposed error bound is tighter, and converges to the generalization loss with a…

Machine Learning · Computer Science 2019-12-09 Vera Shalaeva , Alireza Fakhrizadeh Esfahani , Pascal Germain , Mihaly Petreczky
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