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We study the space of linear difference equations with periodic coefficients and (anti)periodic solutions. We show that this space is isomorphic to the space of tame frieze patterns and closely related to the moduli space of configurations…

Combinatorics · Mathematics 2013-09-17 Sophie Morier-Genoud , Valentin Ovsienko , Richard Evan Schwartz , Serge Tabachnikov

The main purpose of this article is to show how symmetry structures in partial differential equations can be preserved in a discrete world and reflected in difference schemes. Three different structure preserving discretizations of the…

Exactly Solvable and Integrable Systems · Physics 2015-10-05 Decio Levi , Luigi Martina , Pavel Winternitz

Using the symmetry approach, we find a class of integrable nonlinear PDEs with dispersion law $\omega(k)=k^{\frac32}$. All these equations turn out to be linearizable by means of a differential parametrization.

Exactly Solvable and Integrable Systems · Physics 2007-05-23 R. Hernandez Heredero , A. Shabat , V. Sokolov

The problem of linearization for third order evolution equations is considered. Criteria for testing equations for linearity are presented. A class of linearizable equations depending on arbitrary functions is obtained by requiring presence…

Exactly Solvable and Integrable Systems · Physics 2017-09-20 P. Basarab-Horwath , F. Güngör

The article continues the work on the description of integrable nonlinear chains with three independent variables of the following form $u^j_{n+1,x}=u^j_{n,x}+f(u^{j+1}_{n}, u^{j}_n,u^j_{n+1 },u^{j-1}_{n+1})$ by the presence of a hierarchy…

Exactly Solvable and Integrable Systems · Physics 2023-06-27 I T Habibullin , A R Khakimova

Marginal log-linear (MLL) models provide a flexible approach to multivariate discrete data. MLL parametrizations under linear constraints induce a wide variety of models, including models defined by conditional independences. We introduce a…

Methodology · Statistics 2013-08-16 Robin J. Evans , Thomas S. Richardson

In this paper, we review several results from singularly perturbed differential equations with multiple small parameters. In addition, we develop a general conceptual framework to compare and contrast the different results by proposing a…

In this paper we discuss stability properties of various discretizations for axisymmetric systems including the so called cartoon method which was proposed by Alcubierre, Brandt et.al. for the simulation of such systems on Cartesian grids.…

General Relativity and Quantum Cosmology · Physics 2009-11-07 J. Frauendiener

We develop a linear-algebraic framework for dimensional analysis in systems with constraints, particularly when variables are numerous or related by implicit relations so that direct elimination is impractical. By expressing both…

Mathematical Physics · Physics 2026-03-31 Umpei Miyamoto

For a nonlinear ordinary differential equation solved with respect to the highest order derivative and rational in the other derivatives and in the independent variable, we devise two algorithms to check if the equation can be reduced to a…

Classical Analysis and ODEs · Mathematics 2017-04-28 Dmitry Lyakhov , Vladimir Gerdt , Dominik Michels

We study the discretisation of the Chazy class III equation by two means: a discrete Painlev\'e test, and the preservation of a two-parameter solution to the continuous equation. We get that way a best discretisation scheme.

solv-int · Physics 2008-02-03 Simon Labrunie , Robert Conte

In this short note we discuss ordinary differential equations which linearize upon one (or more) differentiations. Although the subject is fairly elementary, equations of this type arise naturally in the context of integrable systems.

Exactly Solvable and Integrable Systems · Physics 2015-06-26 E. V. Ferapontov , S. R. Svirshchevskii

A new layers method is presented for multipartite separability of density matrices from simple graphs. Full separability of tripartite states is studied for graphs on degree symmetric premise. The models are generalized to multipartite…

Quantum Physics · Physics 2018-09-18 Hui Zhao , Jing Yun Zhao , Naihuan Jing

In this paper, we study nonlinear integrable equations with three independent variables of the following types: Toda-type lattices, semi-discrete lattices, and fully discrete Hirota-Miwa type models. It is shown that integrable equations of…

Exactly Solvable and Integrable Systems · Physics 2026-04-28 Ismagil T. Habibullin , Aigul R. Khakimova

We discuss the non autonomous nonlinear partial difference equations belonging to Boll classification of quad graph equations consistent around the cube. We show how starting from the compatible equations on a cell we can construct the…

Exactly Solvable and Integrable Systems · Physics 2016-03-28 Giorgio Gubbiotti , Christian Scimiterna , Decio Levi

The framework of differential inclusions encompasses modern optimal control and the calculus of variations. Necessary optimality conditions in the literature identify potentially optimal paths, but do not show how to perturb paths to…

Optimization and Control · Mathematics 2012-05-01 C. H. Jeffrey Pang

In the series of recent publications we have proposed a novel approach to the classification of integrable differential/difference equations in 3D based on the requirement that hydrodynamic reductions of the corresponding dispersionless…

Exactly Solvable and Integrable Systems · Physics 2013-12-06 E. V. Ferapontov , V. S. Novikov , I. Roustemoglou

In this paper we study the semilinear partial differential equations in the plane the linear part of which is written in a divergence form. The main result is given as a factorization theorem. This theorem states that every weak solution of…

Complex Variables · Mathematics 2017-11-02 Vladimir Gutlyanskii , Olga Nesmelova , Vladimir Ryazanov

In this paper we study dispersive wave equation using the method of multiple scales (MMS) and perform several numerical tests to investigate its accuracy. The key feature of our MMS solution is the linearity of the amplitude equation and…

Numerical Analysis · Mathematics 2021-03-29 David Juhasz , Per Kristen Jakobsen

There is an increasing interest in algorithms to learn invariant correlations across training environments. A big share of the current proposals find theoretical support in the causality literature but, how useful are they in practice? The…

Machine Learning · Computer Science 2021-02-23 Benjamin Aubin , Agnieszka Słowik , Martin Arjovsky , Leon Bottou , David Lopez-Paz