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Related papers: A shortcut to the Kovalevskaya curve

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We deduce from a theorem of Dvorak--Norin that the separation and treewidth profiles of graphs are asymptotically equivalent, resolving a question of Huang--Hume--Kelly--Lam. As an application, we calculate the separation profiles of Cayley…

Combinatorics · Mathematics 2026-04-28 David Hume

The review is based on the author's papers since 1985 in which a new approach to the separation of variables (\SoV) has being developed. It is argued that \SoV, understood generally enough, could be the most universal tool to solve…

solv-int · Physics 2016-09-08 E. K. Sklyanin

We consider a hierarchy of the natural type Hamiltonian systems of $n$ degrees of freedom with polynomial potentials separable in general ellipsoidal and general paraboloidal coordinates. We give a Lax representation in terms of $2\times 2$…

High Energy Physics - Theory · Physics 2009-10-22 J. C. Eilbeck , V. Z. Enol'skii , Vadim B. Kuznetsov , A. V. Tsiganov

In this paper, we define the modified formal variable separation approach and show how it determines, in a remarkably simple manner, the decomposition solutions, the B\"acklund transformations, the Lax pair, and the linear superposition…

Exactly Solvable and Integrable Systems · Physics 2022-10-04 Xiazhi Hao , S. Y. Lou

The paper revises the explicit integration of the classical Steklov--Lyapunov systems via separation of variables, which was first made by F. K\"otter in 1900, but was not well understood until recently. We give a geometric interpretation…

Exactly Solvable and Integrable Systems · Physics 2009-12-10 Yuri Fedorov , Inna Basak

We use separation of variables to find explicit formulas for the Darboux coordinates for the Hitchin systems on a hyprelliptic curve for simple Lie algebras of type $D_n$.

Mathematical Physics · Physics 2019-02-21 Polina I. Borisova

We apply our new approach of quantum Separation of Variables (SoV) to the complete characterization of the transfer matrix spectrum of quantum integrable lattice models associated to gl(n)-invariant R-matrices in the fundamental…

Mathematical Physics · Physics 2019-06-19 J. M. Maillet , G. Niccoli

The goal of this note is to give an elementary and very short solution to equations of motion for the Kovalevskaya top. For this we use some results from original papers by Kovalevskay, K\"otter and Weber and also the authors Lax…

Mathematical Physics · Physics 2007-05-23 A. M. Perelomov

Elimination theory has many applications, in particular, it describes explicitly an image of a complex line under rational transformation and determines the number of common zeroes of two polynomials in one variable. We generalize classical…

Algebraic Geometry · Mathematics 2007-05-23 Alexander Shapiro , Victor Vinnikov

In this paper we apply our new separation of variables approach to completely characterize the transfer matrix spectrum for quantum integrable lattice models associated to fundamental evaluation representations of $\mathcal{U}_{q}…

Mathematical Physics · Physics 2019-07-18 J. M. Maillet , G. Niccoli

A new decomposition optimization algorithm, called \textit{path-following gradient-based decomposition}, is proposed to solve separable convex optimization problems. Unlike path-following Newton methods considered in the literature, this…

Optimization and Control · Mathematics 2012-09-21 Quoc Tran Dinh , Ion Necoara , Moritz Diehl

Many finite dimensional integrable systems qre expressed with the help of the Lax equation which highlights a spectral parameter and therefore a spectral curve. These spectral curves are the starting point of an algebro-geometric…

Algebraic Geometry · Mathematics 2020-01-06 Yasmine Fittouhi

We implement our new Separation of Variables (SoV) approach for open quantum integrable models associated to higher rank representations of the reflection algebras. We construct the (SoV) basis for the fundamental representations of the…

Mathematical Physics · Physics 2019-11-07 J. M. Maillet , G. Niccoli

The primary objective of this paper is to generalize the results of [arXiv:2111.03548] to the case of quasi-smooth Berkovich curves by establishing a connection between the spectrum and the radii of convergence. To achieve this, we…

Number Theory · Mathematics 2024-04-11 Tinhinane A. Azzouz

A generalisation of the Lattice Potential Kadomtsev-Petviashvili (LPKP) equation is presented, using the method of Direct Linearisation based on an elliptic Cauchy kernel. This yields a (3+1)-dimensional lattice system with one of the…

Exactly Solvable and Integrable Systems · Physics 2015-06-16 Paul Jennings , Frank Nijhoff

We present a fairly new and comprehensive approach to the study of stationary flows of the Korteweg-de Vries hierarchy. They are obtained by means of a double restriction process from a dynamical system in an infinite number of variables.…

Exactly Solvable and Integrable Systems · Physics 2009-09-25 Gregorio Falqui , Franco Magri , Marco Pedroni , Jorge P. Zubelli

Consider an ordinary differential equation which has a Lax pair representation A'(x)= [A(x),B(x)], where A(x) is a matrix polynomial with a fixed regular leading coefficient and the matrix B(x) depends only onA(x). Such an equation can be…

solv-int · Physics 2010-05-04 Lubomir Gavrilov

In the following, we give an explicit construction of a Laplacian on the Minkowski curve, with energy forms that bear the geometric characteristic of the structure. The spectrum of the Laplacian is obtained by means of spectral decimation.

Analysis of PDEs · Mathematics 2018-02-06 Nizare Riane , Claire David

We prove a recent conjecture of Borot et al. that a particular universal closed algebraic formula recovers the correlation differentials of topological recursion after the swap of $x$ and $y$ in the input data. We also show that this…

Mathematical Physics · Physics 2025-05-28 Alexander Alexandrov , Boris Bychkov , Petr Dunin-Barkowski , Maxim Kazarian , Sergey Shadrin

This work considers the problem of learning the structure of multivariate linear tree models, which include a variety of directed tree graphical models with continuous, discrete, and mixed latent variables such as linear-Gaussian models,…

Machine Learning · Computer Science 2011-11-09 Animashree Anandkumar , Kamalika Chaudhuri , Daniel Hsu , Sham M. Kakade , Le Song , Tong Zhang