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Related papers: On the Classification of Dillon's APN Hexanomials

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We prove new non-existence results for vectorial monomial Dillon type bent functions mapping the field of order $2^{2m}$ to the field of order $2^{m/3}$. When $m$ is odd and $m>3$ we show that there are no such functions. When $m$ is even…

Information Theory · Computer Science 2021-11-01 Lucien Lapierre , Petr Lisonek

Quasi-subfield polynomials were introduced by Huang et al. together with a new algorithm to solve the Elliptic Curve Discrete Logarithm Problem (ECDLP) over finite fields of small characteristic. In this paper we provide both new…

Cryptography and Security · Computer Science 2021-06-28 M. Euler , C. Petit

In this article we introduce a class of discontinuous almost automorphic functions which appears naturally in the study of almost automorphic solutions of differential equations with piecewise constant argument. Their fundamental properties…

Classical Analysis and ODEs · Mathematics 2013-06-06 A. Chavez , S. Castillo , M. Pinto

We prove a necessary condition for some polynomials of Kasami degree to be APN over F_{q^n} for large n.

Information Theory · Computer Science 2011-02-01 François Rodier

We show that a family ${\cal F}$ of meromorphic functions in a domain $D$ satisfying $$\frac{|f^{(k)}|}{1+|f^{(j)}|^\alpha}(z)\ge C \qquad \mbox{for all} z\in D \mbox{and all} f\in {\cal F}$$ (where $k$ and $j$ are integers with $k>j\ge 0$…

Complex Variables · Mathematics 2016-09-29 Roi Bar , Jürgen Grahl , Shahar Nevo

We develop the Bernstein-Zelevinsky theory for quasi-split real classical groups and employ this framework to establish an Euler-Poincar\'e characteristic formula for general linear groups. The key to our approach is establishing the…

Representation Theory · Mathematics 2025-11-07 Kaidi Wu , Hongfeng Zhang

We study the family of functions that are represented by a linear convolutional neural network (LCN). These functions form a semi-algebraic subset of the set of linear maps from input space to output space. In contrast, the families of…

Machine Learning · Computer Science 2022-06-09 Kathlén Kohn , Thomas Merkh , Guido Montúfar , Matthew Trager

Two emergent properties in aggregation theory are investigated, namely horizontal maxitivity and comonotonic maxitivity (as well as their dual counterparts) which are commonly defined by means of certain functional equations. We completely…

Functional Analysis · Mathematics 2009-10-27 Miguel Couceiro , Jean-Luc Marichal

By universal formulas we understand parameterized analytic expressions that have a fixed complexity, but nevertheless can approximate any continuous function on a compact set. There exist various examples of such formulas, including some in…

Machine Learning · Computer Science 2023-11-08 Dmitry Yarotsky

Using recent results on solving the equation $X^{2^k+1}+X+a=0$ over a finite field $\mathbb{F}_{2^n}$, we address an open question raised by the first author in WAIFI 2014 concerning the APN-ness of the Kasami functions $x\mapsto…

Information Theory · Computer Science 2020-02-04 Claude Carlet , Kwang Ho Kim , Sihem Mesnager

We uncover several general phenomenas governing functor homology over additive categories. In particular, we generalize the strong comparison theorem of Franjou Friedlander Scorichenko and Suslin to the setting of Fp-linear additive…

Algebraic Topology · Mathematics 2022-11-08 Aurélien Djament , Antoine Touzé

We introduce a new functor category: the category $\mathcal{P}_{d,n}$ of strict polynomial functors with bounded by $n$ domain of degree $d$ over a field of characteristic $p>0$. It is equivalent to the category of finite dimensional…

Representation Theory · Mathematics 2022-08-16 Marcin Chałupnik , Patryk Jaśniewski

In this paper we study definable families of functions from an ordered abelian group into various naturally arising definable quotients. We show that for an ordered abelian group $G$ and definable family of convex subgroups…

Logic · Mathematics 2026-04-02 Harper Wells

Quantifying the strength of functional dependence between random scalars $X$ and $Y$ is an important statistical problem. While many existing correlation coefficients excel in identifying linear or monotone functional dependence, they fall…

Methodology · Statistics 2024-03-27 Muhong Gao , Qizhai Li

We construct infinite classes of almost bent and almost perfect nonlinear polynomials, which are affinely inequivalent to any sum of a power function and an affine function.

Combinatorics · Mathematics 2007-05-23 Lilya Budaghyan , Claude Carlet , Alexander Pott

The Feistel Boomerang Connectivity Table and the related notion of $F$-Boomerang uniformity (also known as the second-order zero differential uniformity) has been recently introduced by Boukerrou et al.~\cite{Bouk}. These tools shall…

Information Theory · Computer Science 2023-10-24 Kirpa Garg , Sartaj Ul Hasan , Constanza Riera , Pantelimon Stanica

Let $P_{2k}$ be a homogeneous polynomial of degree $2k$ and assume that there exist $C>0$, $D>0$ and $\alpha \ge 0$ such that \begin{equation*} \left\langle P_{2k}f_{m},f_{m}\right\rangle_{L^2(\mathbb{S}^{d-1})}\geq \frac{1}{C\left(…

Complex Variables · Mathematics 2022-09-08 H. Render , J. M. Aldaz

We study the problem of approximating and learning coverage functions. A function $c: 2^{[n]} \rightarrow \mathbf{R}^{+}$ is a coverage function, if there exists a universe $U$ with non-negative weights $w(u)$ for each $u \in U$ and subsets…

Machine Learning · Computer Science 2014-05-29 Vitaly Feldman , Pravesh Kothari

In this paper we explore a connection between certain Almost Perfect Nonlinear Functions (APN functions) and relative difference sets. In particular, we show that the image set of certain 2-to-1 APN functions is a relative difference set.…

Combinatorics · Mathematics 2026-03-12 Zeying Wang

In this article, we give a Zalcman type renormalization result for the quasinormality of a family of holomorphic functions on a domain in $\mathbb{C}^n$ that takes values in a complete complex Hermitian manifold.

Complex Variables · Mathematics 2024-02-20 Gopal Datt , Sanjay Kumar
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