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As follows from the Schwartz Impossibility Theorem, multiplication of two distributions is in general impossible. Nevertheless, often one needs to multiply a distribution by a discontinuous function, not by an arbitrary distribution. In the…

Classical Analysis and ODEs · Mathematics 2007-05-23 V. Derr , D. Kinzebulatov

The function spaces of continuously differentiable functions are extensively studied and appear in various mathematical settings. In this context, we investigate the spaces of continuously fractional differentiable functions of order…

Functional Analysis · Mathematics 2025-04-01 Paulo M. Carvalho-Neto , Renato Fehlberg Júnior

We exploit the properties of a sequence of functions that approximate the divisor functions and combine them with an analytical formula of a delta-like sequence to give a new proof of a theorem of Gronwall on the asymptotic of the divisor…

Number Theory · Mathematics 2023-07-03 Andrew Echezabal , Laura De Carli , Maurizio Laporta

This paper gives a summary of basic concepts of density-functional theory (DFT) and its use in state-of-the-art computations of complex processes in condensed matter physics and materials science. In particular we discuss how microscopic…

Materials Science · Physics 2008-02-03 C. Ratsch , P. Ruggerone , M. Scheffler

By applying projection operators to state vectors of coordinates we obtain subspaces in which these states are no longer normalized according to Dirac's delta function but normalized according to what we call "incomplete delta functions".…

Quantum Physics · Physics 2007-05-23 A. Gersten

We consider the problem of coding for computing with maximal distortion, where the sender communicates with a receiver, which has its own private data and wants to compute a function of their combined data with some fidelity constraint…

Information Theory · Computer Science 2019-10-21 Sourya Basu , Daewon Seo , Lav R. Varshney

In this paper we provide a rigorous mathematical foundation for continuous approximations of a class of systems with piece-wise continuous functions. By using techniques from the theory of differential inclusions, the underlying piece-wise…

Chaotic Dynamics · Physics 2014-08-20 Marius-F. Danca

A representation of the Dirac delta function in $ \mathcal{C}(R^{\infty})$ in terms of infinite-dimensional Lebesgue measures in $R^{\infty}$ is obtained and some it's properties are studied in this paper.

Classical Analysis and ODEs · Mathematics 2016-05-17 Gogi Pantsulaia , Givi Giorgadze

The estimate in Bullen's inequality will be extended for continuous functions using the second order modulus of smoothness. A different form of this inequality will be given in terms of the least concave majorant. Also, the composite case…

Classical Analysis and ODEs · Mathematics 2015-02-17 Ana Maria Acu , Heiner Gonska

In this paper, we consider a model of classical linear logic based on coherence spaces endowed with a notion of totality. If we restrict ourselves to total objects, each coherence space can be regarded as a uniform space and each linear map…

Logic in Computer Science · Computer Science 2017-06-05 Kei Matsumoto

The Riemann theta function is a complex-valued function of g complex variables. It appears in the construction of many (quasi-) periodic solutions of various equations of mathematical physics. In this paper, algorithms for its computation…

Exactly Solvable and Integrable Systems · Physics 2007-05-23 Bernard Deconinck , Matthias Heil , Alexander Bobenko , Mark van Hoeij , Markus Schmies

We prove maximum and comparison principles for fractional discrete derivatives in the integers. Regularity results when the space is a mesh of length $h$, and approximation theorems to the continuous fractional derivatives are shown. When…

Analysis of PDEs · Mathematics 2016-05-24 Luciano Abadías , Marta de León-Contreras , José L. Torrea

Units equivariance (or units covariance) is the exact symmetry that follows from the requirement that relationships among measured quantities of physics relevance must obey self-consistent dimensional scalings. Here, we express this…

Machine Learning · Statistics 2023-06-26 Soledad Villar , Weichi Yao , David W. Hogg , Ben Blum-Smith , Bianca Dumitrascu

An uncomplicated and easily handling prescription that converts the task of checking the unitarity of massive, topologically massive, models into a straightforward algebraic exercise, is developed. The algorithm is used to test the…

High Energy Physics - Theory · Physics 2009-11-11 Antonio Accioly , Marco Dias

In my PhD thesis a version of Shelah's Presentation Theorem in the setting of Metric Abstract Elementary Classes was proved, where we claimed that the new function symbols are not necessarily uniformly continuous. In this paper we provide a…

Logic · Mathematics 2015-04-22 Pedro Zambrano

The Dirac delta function is widely used in many areas of physics and mathematics. Here we consider the generalization of a Dirac delta function to allow the use of complex arguments. We show that the properties of a generalized delta…

Quantum Physics · Physics 2018-02-28 R. A. Brewster , J. D. Franson

The delta method is a popular and elementary tool for deriving limiting distributions of transformed statistics, while applications of asymptotic distributions do not allow one to obtain desirable accuracy of approximation for tail…

Statistics Theory · Mathematics 2011-05-19 Fuqing Gao , Xingqiu Zhao

We study a long-recognised but under-appreciated symmetry called "dynamical similarity" and illustrate its relevance to many important conceptual problems in fundamental physics. Dynamical similarities are general transformations of a…

History and Philosophy of Physics · Physics 2021-12-30 Sean Gryb , David Sloan

The Coulomb-gauge vector potential of a uniformly moving point charge is obtained by calculating the gauge function for the transformation between the Lorenz and Coulomb gauges. The expression obtained for the difference between the vector…

Classical Physics · Physics 2007-05-23 V. Hnizdo

The notion of metric plays a key role in machine learning problems such as classification, clustering or ranking. However, it is worth noting that there is a severe lack of theoretical guarantees that can be expected on the generalization…

Machine Learning · Computer Science 2015-04-01 Maria-Irina Nicolae , Marc Sebban , Amaury Habrard , Éric Gaussier , Massih-Reza Amini