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We present a Bayesian approach to identify optimal transformations that map model input points to low dimensional latent variables. The "projection" mapping consists of an orthonormal matrix that is considered a priori unknown and needs to…

Machine Learning · Statistics 2021-09-22 Panagiotis Tsilifis , Piyush Pandita , Sayan Ghosh , Valeria Andreoli , Thomas Vandeputte , Liping Wang

We study the simultaneous zeros of a random family of $d$ polynomials in $d$ variables over the $p$-adic numbers. For a family of natural models, we obtain an explicit constant for the expected number of zeros that lie in the $d$-fold…

Probability · Mathematics 2007-05-23 Steven N. Evans

Quaternionic polynomials occur naturally in applications of quaternions in science and engineering, and normalization of quaternionic polynomials is a basic manipulation. Once a Groebner basis is certified for the defining ideal I of the…

Symbolic Computation · Computer Science 2025-04-22 Hongbo Li , Zhengyang Wang , Yue Liu , Lei Huang , Changpeng Shao

We consider random orthonormal polynomials $$ P_{n}(x)=\sum_{i=0}^{n}\xi_{i}p_{i}(x), $$ where $\xi_{0}$, . . . , $\xi_{n}$ are independent random variables with zero mean, unit variance and uniformly bounded $(2+\ep_0)$-moments, and…

Probability · Mathematics 2023-01-02 Yen Do , Doron Lubinsky , Hoi H. Nguyen , Oanh Nguyen , Igor Pritsker

Recently [Karimipour and Memarzadeh, PhysRevA 73, 012329 (2006)] posed the problem of finding a continuous family of orthonormal bases in a bipartite space of two identical systems with the following properties: i) in each basis, all states…

Quantum Physics · Physics 2010-04-13 Vlad Gheorghiu

We present a method for constructing superoscillatory functions the superoscillatory part of which approximates a given polynomial with arbitrarily small error in a fixed interval. These functions are obtained as the product of the…

Mathematical Physics · Physics 2015-04-21 Ioannis Chremmos , George Fikioris

We show that the following variant of labeling rotating maps is NP-hard, and present a polynomial approximation scheme for solving it. The input is a set of feature points on a map, to each of which a vertical bar of zero width is assigned.…

Computational Geometry · Computer Science 2019-07-31 Ali Gholami Rudi

The algorithm for finding the optimal consistent approximation of an inconsistent pairwise comparisons matrix is based on a logarithmic transformation of a pairwise comparisons matrix into a vector space with the Euclidean metric.…

Other Computer Science · Computer Science 2015-05-11 W. W. Koczkodaj , M. Orlowski

We study the Borel subsets of the plane that can be made closed by refining the Polish topology on the real line. These sets are called potentially closed. We first compare Borel subsets of the plane using products of continuous functions.…

Logic · Mathematics 2007-10-02 Dominique Lecomte

Let $1\leq k \leq n$ and let $X_n = (x_1, \dots, x_n)$ be a list of $n$ variables. The {\em Boolean product polynomial} $B_{n,k}(X_n)$ is the product of the linear forms $\sum_{i \in S} x_i$ where $S$ ranges over all $k$-element subsets of…

Combinatorics · Mathematics 2019-03-01 Sara C. Billey , Brendon Rhoades , Vasu Tewari

We study orthogonal polynomial systems arising from general pre-Hilbert inner products on polynomial spaces, beyond the classical framework of measures. To each such inner product we associate a canonical Laplacian defined from an abstract…

General Mathematics · Mathematics 2026-03-17 Jean-Pierre Magnot

We present an algebraic theory of orthogonal polynomials in several variables that includes classical orthogonal polynomials as a special case. Our bottom line is a straightforward connection between apolarity of binary forms and the inner…

Rings and Algebras · Mathematics 2014-10-20 Pasquale Petrullo , Domenico Senato , Rosaria Simone

We characterise the embedding of the spatial product of two Arveson systems into their tensor product using the random set technique. An important implication is that the spatial tensor product does not depend on the choice of the reference…

Operator Algebras · Mathematics 2014-09-10 Volkmar Liebscher

We study the joint asymptotic distribution of the least squares estimator of the parameter $(\theta,\,\mu)$ for the non-ergodic Vasicek models driven by seven specific Gaussian processes. %The similar result concerning to the non-ergodic…

Probability · Mathematics 2024-12-03 Yong Chen , Wu-Jun Gao , Ying Li

In this paper, the intersection of bivariate orthogonal polynomials on triangle patches will be investigated. The result is interesting by its own but also has important applications in the theory of a posteriori error estimation for finite…

Numerical Analysis · Mathematics 2015-07-07 Tom H. Koornwinder , Stefan A. Sauter

Unextendible product bases (UPBs) play a key role in the study of quantum entanglement and nonlocality. A famous open question is whether there exist genuinely unextendible product bases (GUPBs), namely multipartite product bases that are…

Quantum Physics · Physics 2023-03-07 Fei Shi , Ge Bai , Xiande Zhang , Qi Zhao , Giulio Chiribella

The intrinsic volumes of Gaussian polytopes are considered. A lower variance bound for these quantities is proved, showing that, under suitable normalization, the variances converge to strictly positive limits. The implications of this…

Probability · Mathematics 2017-11-06 Imre Bárány , Christoph Thaele

In this note we recast the Geronimus transformation in the framework of polynomials orthogonal with respect to symmetric bilinear forms. We also show that the double Geronimus transformations lead to non-diagonal Sobolev type inner…

Classical Analysis and ODEs · Mathematics 2013-08-21 Maxim Derevyagin , Francisco Marcellán

We consider random systems of equations over the reals, with $m$ equations and $m$ unknowns $P_i(t)+X_i(t)=0$, $t\in\mathbb{R}^m$, $i=1,...,m$, where the $P_i$'s are non-random polynomials having degrees $d_i$'s (the "signal") and the…

Probability · Mathematics 2009-02-09 Diego Armentano , Mario Wschebor

Some of the most common mathematical models in biology, chemistry, physics, and engineering, are polynomial dynamical systems, i.e., systems of differential equations with polynomial right-hand sides. Inspired by notions and results that…

Dynamical Systems · Mathematics 2019-01-10 Gheorghe Craciun
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