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A generalization of the polar coding scheme called mixed-kernels is introduced. This generalization exploits several homogeneous kernels over alphabets of different sizes. An asymptotic analysis of the proposed scheme shows that its…

Information Theory · Computer Science 2015-03-25 Noam Presman , Ofer Shapira , Simon Litsyn

Motivated by Harish-Chandra theory, we construct, starting from a simple CDD\--pole $S$\--matrix, a hierarchy of new $S$\--matrices involving ever ``higher'' (in the sense of Barnes) gamma functions.These new $S$\--matrices correspond to…

High Energy Physics - Theory · Physics 2009-10-22 Peter G. O. Freund , Anton V. Zabrodin

We deduce mixed quasi-norm estimates of Lebesgue types on semi-continuous convolutions between sequences and functions which may be periodic or possess a weaker form of periodicity in certain directions. In these directions, the Lebesgue…

Functional Analysis · Mathematics 2018-02-14 Joachim Toft

We extend the results in [6] to Besov spaces $B_{p,q}^\alpha$ with $p,q\in[1,\infty]$ and $0<\alpha<1$.

Analysis of PDEs · Mathematics 2020-05-19 Masato Hoshino

We provide a novel framework to study subspace codes for non-coherent communications in wireless networks. To this end, an analog operator channel is defined with inputs and outputs being subspaces of $\mathbb{C}^n$. Then a certain distance…

Information Theory · Computer Science 2022-01-31 Mahdi Soleymani , Hessam Mahdavifar

In modern mathematical and theoretical physics various generalizations, in particular supersymmetric or quantum, of Riemann surfaces and complex algebraic curves play a prominent role. We show that such supersymmetric and quantum…

High Energy Physics - Theory · Physics 2017-05-23 Paweł Ciosmak , Leszek Hadasz , Masahide Manabe , Piotr Sułkowski

Programs with a continuous state space or that interact with physical processes often require notions of equivalence going beyond the standard binary setting in which equivalence either holds or does not hold. In this paper we explore the…

Logic in Computer Science · Computer Science 2024-02-14 Fredrik Dahlqvist , Renato Neves

First some old as well as new results about P.I. algebras, Ore extensions, and degrees are presented. Then quantized $n\times r$ matrices as well as quantized factor algebras of $M_q(n)$ are analyzed. The latter are the quantized function…

Quantum Algebra · Mathematics 2007-05-23 Hans Plesner Jakobsen , Søren Jøndrup

A new $q$-analogue of Appell polynomial sequences and their generalizations are introduced and their main characterizations are proved. As consequences new $q$-analogue of Bernoulli and Euler polynomials and numbers is introduced, their…

Classical Analysis and ODEs · Mathematics 2018-01-29 P. Njionou Sadjang

A new error bound for the linear complementarity problem is given when the involved matrix is a B-matrix. It is shown that this bound is sharper than some previous bounds [C.Q. Li, Y.T. Li. Note on error bounds for linear complementarity…

Numerical Analysis · Mathematics 2016-03-01 Chaoqian Li , Mengting Gan , Shaorong Yang

The aim of this paper is to generalize the Core Inverse to arbitrary vector spaces using finite potent endomorphisms. As an application, the core partial order is studied in the set of finite potent endomorphisms (of index lesser or equal…

Rings and Algebras · Mathematics 2026-02-05 Diego Alba Alonso

Channel coding over arbitrarily-permuted parallel channels was first studied by Willems et al. (2008). This paper introduces capacity-achieving polar coding schemes for arbitrarily-permuted parallel channels where the component channels are…

Information Theory · Computer Science 2015-03-17 Eran Hof , Igal Sason , Shlomo Shamai , Chao Tian

The notion of $q$-grading on the enveloping algebra generated by products of q-deformed Heisenberg algebras is introduced for $q$ complex number in the unit disc. Within this formulation, we consider the extension of the notion of…

Mathematical Physics · Physics 2014-11-20 Joseph Ben Geloun , Mahouton Norbert Hounkonnou

We introduce a generalized framework for private quantum codes using von Neumann algebras and the structure of commutants. This leads naturally to a more general notion of complementary channel, which we use to establish a generalized…

Quantum Physics · Physics 2018-08-22 Jason Crann , David W. Kribs , Rupert H. Levene , Ivan G. Todorov

We investigate the completely positive semidefinite cone $\mathcal{CS}_+^n$, a new matrix cone consisting of all $n\times n$ matrices that admit a Gram representation by positive semidefinite matrices (of any size). In particular we study…

Optimization and Control · Mathematics 2015-10-06 Monique Laurent , Teresa Piovesan

In this article we associate a combinatorial differential graded algebra to a cubic planar graph G. This algebra is defined combinatorially by counting binary sequences, which we introduce, and several explicit computations are provided. In…

Combinatorics · Mathematics 2017-05-05 Roger Casals , Emmy Murphy

In a previous paper a semi-microscopic core-particle coupling method that includes the conventional strong coupling core-particle model as a limiting case, was applied to spectra and electromagnetic properties of several well-deformed odd…

Nuclear Theory · Physics 2008-11-26 Pavlos Protopapas , Abraham Klein , Niels R. Walet

In this paper we propose an alternative construction of a certain class of Deformed Double Current Algebras. We construct them as spherical subalgebras of symplectic reflection algebras in the Deligne category. They can also be thought of…

Representation Theory · Mathematics 2020-05-29 Pavel Etingof , Daniil Kalinov , Eric Rains

In this paper we define and study a vector-valued sequence space, called the space of anisotropic $(s,q,r)$-summable sequences, that generalizes the classical space of $(s; q)$-mixed sequences (or mixed $(s; q)$-summable sequences).…

Functional Analysis · Mathematics 2022-04-19 Jamilson R. Campos , Renato Macedo , Joedson Santos

In data science, individual observations are often assumed to come independently from an underlying probability space. Kernel matrices formed from large sets of such observations arise frequently, for example during classification tasks. It…

Machine Learning · Statistics 2026-05-27 Mikhail Lepilov
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