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The theory of log concave polynomials has recently been developed to study objects and problems in combinatorics and other subfields in mathematics. Particular classes of log concave polynomials called Lorentzian polynomials and…

Combinatorics · Mathematics 2026-05-15 Jonathan Leake , Maryam Mohammadi Yekta

Let $\mathbf{g}$ be a pseudo--Riemanian metric of arbitrary signature on a manifold $\mathbf{V}$ with conventional $n+n$ dimensional splitting, $\ n\geq 2,$ determined by a nonholonomic (non--integrable) distribution $\mathcal{N}$ defining…

Mathematical Physics · Physics 2017-01-20 Subhash Rajpoot , Sergiu I. Vacaru

We define the generalized logarithmic Gauss map for algebraic varieties of the complex algebraic torus of any codimension. Moreover, we describe the set of critical points of the logarithmic mapping restricted to our variety, and we show an…

Algebraic Geometry · Mathematics 2012-05-15 Farid Madani , Mounir Nisse

Lattice decoders constructed with neural networks are presented. Firstly, we show how the fundamental parallelotope is used as a compact set for the approximation by a neural lattice decoder. Secondly, we introduce the notion of…

Information Theory · Computer Science 2019-02-05 Vincent Corlay , Joseph J. Boutros , Philippe Ciblat , Loic Brunel

We study the structure of higher-order Voronoi cells on a discrete set of sites in $\mathbb{R}^n$, focussing on the relations between cells of different order, and paying special attention to the ill-posed case when a large number of points…

Metric Geometry · Mathematics 2019-12-12 Ryan McKewen , Vera Roshchina

We first generalize the logarithmic tensor category theory of Huang-Lepowsky-Zhang to the more general case that the module category for a vertex operator algebra $V$ (more generally a M\"{o}bius vertex algebra) might not be closed under…

Quantum Algebra · Mathematics 2025-09-26 Yi-Zhi Huang

We study {\em disemisimple} Lie algebras, i.e., Lie algebras which can be written as a vector space sum of two semisimple subalgebras. We show that a Lie algebra $\mathfrak{g}$ is disemisimple if and only if its solvable radical coincides…

Representation Theory · Mathematics 2022-01-24 Dietrich Burde , Wolfgang Alexander Moens

Nowadays, big data of digital media (including images, videos and 3D graphical models) are frequently modeled as low-dimensional manifold meshes embedded in a high-dimensional feature space. In this paper, we summarized our recent work on…

Graphics · Computer Science 2019-07-02 Zipeng Ye , Ran Yi , Minjing Yu , Yong-Jin Liu , Ying He

Let g be a Lie bialgebra and let V be a finite-dimensional g-module. We study deformations of the symmetric algebra of V which are equivariant with respect to an action of the quantized enveloping algebra of g. In particular we investigate…

Quantum Algebra · Mathematics 2008-12-09 Sebastian Zwicknagl

The main results of this paper establish a partial correspondence between two previously-studied analogues of Groebner bases in the setting of algebras: namely, subalgebra (aka SAGBI) bases for quotients of polynomial rings and Khovanskii…

Algebraic Geometry · Mathematics 2024-02-12 Colin Alstad , Michael Burr , Oliver Clarke , Timothy Duff

In this paper, we explore natural connections among trigonometric Lie algebras, (general) affine Lie algebras, and vertex algebras. Among the main results, we obtain a realization of trigonometric Lie algebras as what were called the…

Quantum Algebra · Mathematics 2018-08-15 Haisheng Li , Shaobin Tan , Qing Wang

We present a paralell approach to discrete geometry: the first one introduces Voronoi cell complexes from statistical tessellations in order to know the mean scalar curvature in term of the mean number of edges of a cell. The second one…

General Relativity and Quantum Cosmology · Physics 2009-11-11 L. Bombelli , M. Lorente

Hilbert--Lie groups are Lie groups whose Lie algebra is a real Hilbert space whose scalar product is invariant under the adjoint action. These infinite-dimensional Lie groups are the closest relatives to compact Lie groups. Here we study…

Mathematical Physics · Physics 2024-11-12 Karl-Hermann Neeb , Francesco G. Russo

Group convolutional layers with respect to some group $G$ are modeled by convolutions or cross-correlations with a filter, and they provide the fundamental building block for group convolutional neural networks. For entirely unconstrained…

Dynamical Systems · Mathematics 2026-03-10 Benedikt Fluhr

We discover new Voronoi formulae for automorphic forms on GL($n$) for $n\geq 4$. There are $[n/2]$ different Voronoi formulae on GL($n$), which are Poisson summation formulae weighted by Fourier coefficients of the automorphic form with…

Number Theory · Mathematics 2017-01-31 Fan Zhou

We present a simple wavefront-like approach for computing multiplicatively weighted Voronoi diagrams of points and straight-line segments in the Euclidean plane. If the input sites may be assumed to be randomly weighted points then the use…

Computational Geometry · Computer Science 2020-06-26 Martin Held , Stefan de Lorenzo

A coordinate cone in R^n is an intersection of some coordinate hyperplanes and open coordinate half-spaces. A semi-monotone set is a defnable in an o-minimal structure over the reals, open bounded subset of R^n such that its intersection…

Logic · Mathematics 2011-07-20 Saugata Basu , Andrei Gabrielov , Nicolai Vorobjov

We incorporate a category of certain modules for an affine Lie algebra, of a certain fixed non-positive-integral level, considered by Kazhdan and Lusztig, into the representation theory of vertex operator algebras, by using the logarithmic…

Quantum Algebra · Mathematics 2007-05-23 Lin Zhang

Given a graph $G$, its genus polynomial is $\Gamma_G(x) = \sum_{k\geq 0} g_k(G)x^k$, where $g_k(G)$ is the number of 2-cell embeddings of $G$ in an orientable surface of genus $k$. The Log-Concavity Genus Distribution (LCGD) Conjecture…

Combinatorics · Mathematics 2022-12-21 MacKenzie Carr , Varpreet Dhaliwal , Bojan Mohar

The G-Wishart distribution is an essential component for the Bayesian analysis of Gaussian graphical models as the conjugate prior for the precision matrix. Evaluating the marginal likelihood of such models usually requires computing…

Methodology · Statistics 2025-04-11 Ching Wong , Giusi Moffa , Jack Kuipers
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