English
Related papers

Related papers: $Psi$ - Vectors for Three Dimensional Models

200 papers

We find that the Boltzmann weight of the three-dimensional Baxter-Bazhanov model is dependent on four spin variables which are the linear combinations of the spins on the corner sites of the cube and the Wu-Kadanoff duality between the cube…

High Energy Physics - Theory · Physics 2016-09-06 Zhan-Ning Hu , Bo-Yu Hou

In this paper, a three-dimensional vertex model is obtained. It is a duality of the three-dimensional integrable lattice model with $N$ states proposed by Boos, Mangazeev, Sergeev and Stroganov. The Boltzmann weight of the model is…

High Energy Physics - Theory · Physics 2016-09-06 Zhan-Ning Hu

A 3-dimensional model dual to the Rozansky-Witten topological sigma-model with a hyper-Kaehler target space is considered. It is demonstrated that a Feynman diagram calculation of the classical part of its partition function yields the…

High Energy Physics - Theory · Physics 2009-11-07 Boguslaw Broda

A sort of two dimensional linear auxiliary problem for the complex of 3D $R$ -- operators associated with the Zamolodchikov -- Bazhanov -- Baxter statistical model is proposed. This problem resembles the problem of the local Yang -- Baxter…

solv-int · Physics 2008-02-03 S. M. Sergeev

Dimensionality reduction for high-order tensors is a challenging problem. In conventional approaches, higher order tensors are `vectorized` via Tucker decomposition to obtain lower order tensors. This will destroy the inherent high-order…

Computer Vision and Pattern Recognition · Computer Science 2017-07-04 Fujiao Ju , Yanfeng Sun , Junbin Gao , Yongli Hu , Baocai Yin

We compute the Hausdorff dimension of the set of $\psi$-exactly approximable vectors, in the simultaneous case, in dimension strictly larger than $2$ and for approximating functions $\psi$ with order at infinity less than or equal to $-2$.…

Number Theory · Mathematics 2024-01-19 Reynold Fregoli

To represent real $m$-dimensional vectors, a positional vector system given by a non-singular matrix $M \in \mathbb{Z}^{m \times m}$ and a digit set $\mathcal{D} \subset \mathbb{Z}^m$ is used. If $m = 1$, the system coincides with the well…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-20 Izabella Ingrid Farkas , Edita Pelantová , Milena Svobodová

In engineering practice one often encounters planar problems, where the corresponding vector space of forces, velocities or (infinitesimal) displacements is three dimensional. This paper shows how these spaces can be factorized, such that…

Classical Physics · Physics 2019-09-19 Tamás Baranyai

Vector calculus in three-dimensional space is ubiquitous in applications of mathematics in physics and engineering. Its two-dimensional version is, however, quite rare. Here we try to provide a pedagogical account of the subject. It is…

History and Overview · Mathematics 2022-01-17 Marián Fecko

The aim of this contribution is to give the explicit formulas for the eigenvectors of the transfer-matrix of Baxter-Bazhanov-Stroganov (BBS) model (N-state spin model) with fixed-spin boundary conditions. These formulas are obtained by a…

Exactly Solvable and Integrable Systems · Physics 2009-11-13 N. Z. Iorgov , V. N. Shadura , Yu. V. Tykhyy

Dual third order Jacobsthal and dual third order Jacobsthal-Lucas numbers are defined. In this study, we work on these dual numbers and we obtain the properties e.g. some quadratic identities, summation, norm, negadual third order…

Rings and Algebras · Mathematics 2020-07-29 Gamaliel Cerda-Morales

Covariant vectors, Lyapunov vectors, or Oseledets vectors are increasingly being used for a variety of model analyses in areas such as partial differential equations, nonautonomous differentiable dynamical systems, and random dynamical…

Dynamical Systems · Mathematics 2015-06-04 Gary Froyland , Thorsten Hüls , Gary P. Morriss , Thomas M. Watson

We clarify the structure of the Bazhanov-Baxter model of the 3-dim N-state integrable model. There are two essential points, i) the cubic symmetries, and ii) the spherical trigonometry parametrization, to understand the structure of this…

solv-int · Physics 2009-10-31 M. Horibe , K. Shigemoto

In prediction problems with more predictors than observations, it can sometimes be helpful to use a joint probability model, $\pi(Y,X)$, rather than a purely conditional model, $\pi(Y \mid X)$, where $Y$ is a scalar response variable and…

Methodology · Statistics 2010-11-17 P. Richard Hahn , Sayan Mukherjee , Carlos Carvalho

Dimensional analysis provides many simple and useful tools for various situations in science. The objective of this paper is to investigate its relations to functions, i.e., the dimensions for functions that yield physical quantities and…

General Physics · Physics 2017-12-05 Shinji Tanimoto

A special approach to examine spinor structure of 3-space is proposed. It is based on the use of the concept of a spatial spinor defined through taking the square root of a real-valued 3-vector. Two sorts of spatial spinor according to…

Mathematical Physics · Physics 2011-09-07 V. M. Red'kov

In this article, we provide a new method for obtaining the propagator of two three-dimensional models of electrodynamics (Maxwell-Lee-Wick-Chern-Simons and Maxwell-Deser-Jackiw). This method introduce a new set of projection operators. Then…

High Energy Physics - Theory · Physics 2026-04-14 Flávio P. Cruz , José A. Santos , Victor J. V. Otoya

Vector algebra is a powerful and needful tool for Physics but unfortunately, due to lack of mathematical skills, it becomes misleading for first undergraduate courses of science and engineering studies. Standard vector identities are…

General Physics · Physics 2009-04-14 Miguel Angel Rodriguez-Valverde , Maria Tirado-Miranda

We discuss the phenomenology of the axial-vector mesons within a three-flavour Linear Sigma Model containing scalar, pseudoscalar, vector and axial-vector degrees of freedom.

High Energy Physics - Phenomenology · Physics 2012-08-13 Denis Parganlija , Peter Kovacs , Gyorgy Wolf , Francesco Giacosa , Dirk H. Rischke

We develop a new method for multivariate scalar on multidimensional distribution regression. Traditional approaches typically analyze isolated univariate scalar outcomes or consider unidimensional distributional representations as…

Methodology · Statistics 2023-10-17 Rahul Ghosal , Marcos Matabuena
‹ Prev 1 2 3 10 Next ›