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This paper introduces specular differentiation, which generalizes G\^ateaux and Fr\'echet differentiation in normed vector spaces. We investigate its fundamental theoretical properties and establish weak forms of the Mean Value Theorem and…

Optimization and Control · Mathematics 2026-05-27 Kiyuob Jung

In this paper, we use a biorthogonal approach (Appell system) to construct and characterize the spaces of test and generalized functions associated to the fractional Poisson measure $\pi_{\lambda,\beta}$, that is, a probability measure in…

Functional Analysis · Mathematics 2022-05-03 Jerome B. Bendong , Sheila M. Menchavez , José Luís da Silva

An N-parameter Brownian sheet in R^d maps a non-random compact set F in R^N_+ to the random compact set B(F) in \R^d. We prove two results on the image-set B(F): (1) It has positive d-dimensional Lebesgue measure if and only if F has…

Probability · Mathematics 2007-05-23 Davar Khoshnevisan , Yimin Xiao

Association schemes play an important role in algebraic combinatorics and have important applications in coding theory, graph theory and design theory. The methods to construct association schemes by using bent functions have been…

Combinatorics · Mathematics 2024-06-14 Yadi Wei , Jiaxin Wang , Fang-Wei Fu

This paper provides an unique dual representation of set-valued lower semi-continuous quasiconvex and convex functions. The results are based on a duality result for increasing set valued functions.

Optimization and Control · Mathematics 2015-06-12 Samuel Drapeau , Andreas H. Hamel , Michael Kupper

Bent Boolean functions are important objects in cryptography and coding theory, and there are several general approaches for constructing such functions. Metaheuristics proved to be a strong choice as they can provide many bent functions,…

Neural and Evolutionary Computing · Computer Science 2023-11-21 Claude Carlet , Marko Ðurasevic , Domagoj Jakobovic , Luca Mariot , Stjepan Picek

Gravitationally collapsed objects are known to be biased tracers of an underlying density contrast. Using symmetry arguments, generalised biasing schemes have recently been developed to relate the halo density contrast $\delta_h$ with the…

Cosmology and Nongalactic Astrophysics · Physics 2018-02-14 Dipak Munshi

Understanding the role that subgradients play in various second-order variational analysis constructions can help us uncover new properties of important classes of functions in variational analysis. Focusing mainly on the behavior of the…

Optimization and Control · Mathematics 2023-01-12 N. T. V. Hang , W. Jung , M. E. Sarabi

We develop an operator-theoretical method for the analysis on well posedness of partial differential equations that can be modeled in the form \begin{equation*} \left\{ \begin{array}{rll} \Delta^{\alpha} u(n) &= Au(n+2) + f(n,u(n)), \quad n…

Analysis of PDEs · Mathematics 2016-06-17 Luciano Abadias , Carlos Lizama , Pedro J. Miana , M. Pilar Velasco

We study the problem of computing the preimage of a set under a neural network with piecewise-affine activation functions. We recall an old result that the preimage of a polyhedral set is again a union of polyhedral sets and can be…

Machine Learning · Computer Science 2023-12-15 Marcelo Forets , Christian Schilling

In this paper, we study classes of subexcedant functions enumerated by the Bell numbers and present bijections on set partitions. We present a set of permutations whose transposition arrays are the restricted growth functions, thus defining…

Combinatorics · Mathematics 2022-08-23 Fufa Beyene , Jörgen Backelin , Roberto Mantaci , Samuel A. Fufa

Sets of orthogonal basis functions over two-dimensional circular areas--most often representing pupils in optical applications--are known in the literature for the full circle (Zernike or Jacobi polynomials) and the annulus. This work…

Optics · Physics 2017-05-08 Richard J. Mathar

This paper addresses the task of set prediction using deep feed-forward neural networks. A set is a collection of elements which is invariant under permutation and the size of a set is not fixed in advance. Many real-world problems, such as…

Computer Vision and Pattern Recognition · Computer Science 2021-10-26 Hamid Rezatofighi , Tianyu Zhu , Roman Kaskman , Farbod T. Motlagh , Qinfeng Shi , Anton Milan , Daniel Cremers , Laura Leal-Taixé , Ian Reid

Many vision-related tasks benefit from reasoning over multiple modalities to leverage complementary views of data in an attempt to learn robust embedding spaces. Most deep learning-based methods rely on a late fusion technique whereby…

Computer Vision and Pattern Recognition · Computer Science 2020-03-04 Austin Reiter , Menglin Jia , Pu Yang , Ser-Nam Lim

In this note we show the characteristic function of every indecomposable set $F$ in the plane is $BV$ equivalent to the characteristic function a closed set $\mathbb{F}$, i.e.…

Analysis of PDEs · Mathematics 2019-02-20 Andrew Lorent

FPSAC 2013 Extended Abstract. We introduce a new basis of the non-commutative symmetric functions whose elements have Schur functions as their commutative images. Dually, we build a basis of the quasi-symmetric functions which expand…

Combinatorics · Mathematics 2013-03-21 Chris Berg , Nantel Bergeron , Franco Saliola , Luis Serrano , Mike Zabrocki

We study two aspects of fermionic T-duality: the duality in purely fermionic sigma models exploring the possible obstructions and the extension of the T-duality beyond classical approximation. We consider fermionic sigma models as coset…

High Energy Physics - Theory · Physics 2015-05-27 P. A. Grassi , A. Mezzalira

We investigate pairs of permutations $F,G$ of $\mathbb{F}_{p^n}$ such that $F(x+a)-G(x)$ is a permutation for every $a\in\mathbb{F}_{p^n}$. We show that necessarily $G(x) = \wp(F(x))$ for some complete mapping $-\wp$ of $\mathbb{F}_{p^n}$,…

Information Theory · Computer Science 2022-12-27 Nurdagul Anbar , Tekgul Kalyci , Wilfried Meidl , Constanza Riera , Pantelimon Stanica

Let (G, V) be a prehomogeneous vector space, let O be any G(F_q)-invariant subset of V(F_q), and let f be the characteristic function of O. In this paper we develop a method for explicitly and efficiently evaluating the Fourier transform of…

Number Theory · Mathematics 2018-11-29 Takashi Taniguchi , Frank Thorne

A general method to construct basis functions for fermionic systems which account for the $SU(2)$ symmetry and for the translational invariance of the Hamiltonian is presented. The method does not depend on the dimensionality of the system…

chao-dyn · Physics 2008-02-03 Mario Salerno