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Related papers: Slim normal Bases and Basefield Transforms

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We introduce the concept of a soft ditopological space as the "soft generalization" of the concept of a ditopological space as it is defined in the papers by L.M. Brown and co-authors, see e.g. L. M. Brown, R. Erturk, S. Dost,…

General Mathematics · Mathematics 2016-10-23 Tugbahan Simsekler Dizman , Alexander Sostak , Saziye Yuksel

We describe a standard form for the elements in the universal field of fractions of free associative algebras (over a commutative field). It is a special version of the normal form provided by Cohn and Reutenauer and enables the use of…

Rings and Algebras · Mathematics 2020-12-09 Konrad Schrempf

Whenever we have a group acting on a class of functions by translation, the bispectrum offers a principled and lossless way of representing such functions invariant to the action. Unfortunately, computing the bispectrum is often costly and…

Representation Theory · Mathematics 2007-12-28 Risi Kondor

An approach, based on the Smith Normal Form, is introduced to study the spectra of symmetric matrices with a given graph. The approach serves well to explain how the path cover number (resp. diameter of a tree T) is related to the maximum…

Combinatorics · Mathematics 2007-05-23 Bryan L. Shader , In-Jae Kim

Let L be an abelian number field of degree n with Galois group G. In this paper we study how to compute efficiently a normal integral basis for L, if there is at least one, assuming that the group G and an integral basis for L are known.

Number Theory · Mathematics 2017-04-04 Vincenzo Acciaro

We define the universal exponential extension of an algebraically closed differential field and investigate its properties in the presence of a nice valuation and in connection with linear differential equations. Next we prove normalization…

Commutative Algebra · Mathematics 2026-04-28 Matthias Aschenbrenner , Lou van den Dries , Joris van der Hoeven

It is shown that, under suitable conditions, involving in particular the existence of analytic constants of motion, the presence of Lie point symmetries can ensure the convergence of the transformation taking a vector field (or dynamical…

chao-dyn · Physics 2008-02-03 G. Cicogna

We give a completely normal element in the maximal real subfield of a cyclotomic field over the field of rational numbers, which is different from that of Okada. This result is a consequence of the criterion for a normal element developed…

Number Theory · Mathematics 2011-11-29 Ja Kung Koo , Dong Hwa Shin

A subset A of {0,1,...,n} is said to be a 2-additive basis for {1,2,...,n} if each j in {1,2,...,n} can be written as j=x+y, x,y in A, x<=y. If we pick each integer in {0,1,...,n} independently with probability p=p_n tending to 0, thus…

Combinatorics · Mathematics 2012-04-11 Anant Godbole , Chang Mou Lim , Vince Lyzinski , Nicholas Triantafillou

We present the theory of non-stationary normal forms for uniformly contracting smooth extensions with sufficiently narrow Mather spectrum. We give coherent proofs of existence, (non)uniqueness, and a description of the centralizer results.…

Dynamical Systems · Mathematics 2020-06-24 Boris Kalinin

Normality equations describe Newtonian dynamical systems admitting normal shift of hypersurfaces. They were first derived in Euclidean geometry, then in Riemannian geometry. Recently they were rederived in more general case, when geometry…

Differential Geometry · Mathematics 2007-05-23 Ruslan Sharipov

We review and extend a technique for recovering a smooth function from its averages over a wide class of curves in a general region of Euclidean space. The method is based on complexification of the underlying vector fields defining the…

Complex Variables · Mathematics 2011-02-10 Nicholas Hoell

A brief introduction is given to the topic of Smith normal forms of incidence matrices. A general discussion of techniques is illustrated by some classical examples. Some recent advances are described and the limits of our current…

Combinatorics · Mathematics 2015-06-18 Peter Sin

We introduce a new concept of variable bandwidth that is based on the truncation of Wilson expansions. For this model we derive both (nonuniform) sampling theorems, the complete reconstruction of $f$ from its samples, and necessary density…

Functional Analysis · Mathematics 2024-05-21 Beatrice Andreolli , Karlheinz Gröchenig

Given a smooth curve $\gamma$ in some $m$-dimensional surface $M$ in $\mathbb{R}^{m+1}$, we study existence and uniqueness of a flat surface $H$ having the same field of normal vectors as $M$ along $\gamma$, which we call a flat…

Differential Geometry · Mathematics 2023-07-11 Irina Markina , Matteo Raffaelli

We investigate the consistency of the background-field formalism when applying various regularizations and renormalization schemes. By an example of a two-dimensional $\sigma$ model it is demonstrated that the background-field method gives…

High Energy Physics - Theory · Physics 2007-05-23 L. V. Avdeev , D. I. Kazakov , M. Yu. Kalmykov

A simple introduction of renormalization in quantum field theory is discussed. Explanation of concepts is emphasized instead of the technical details.

High Energy Physics - Phenomenology · Physics 2017-08-23 Ling-Fong Li , Chongqing

When developing and assessing density functional theory methods, a finite basis set is usually employed. In most cases, however, the issue of basis set dependency is neglected. Here, we assess several basis sets and functionals. In…

Chemical Physics · Physics 2007-05-23 A. Daniel Boese , Jan M. L. Martin , Nicholas C. Handy

We exhibit several transformations of surfaces in R^4. First, one that takes a flat surface and gets a surface with flat normal bundle; then, one that takes a surface with flat normal bundle and gets a flat surface; finally, a one-parameter…

Differential Geometry · Mathematics 2007-05-23 Angel Montesinos-Amilibia

A large body of work has investigated the properties of graph neural networks and identified several limitations, particularly pertaining to their expressive power. Their inability to count certain patterns (e.g., cycles) in a graph lies at…

Machine Learning · Computer Science 2024-06-11 Emily Jin , Michael Bronstein , İsmail İlkan Ceylan , Matthias Lanzinger
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