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The class of random-cluster models is a unification of a variety of stochastic processes of significance for probability and statistical physics, including percolation, Ising, and Potts models; in addition, their study has impact on the…

Probability · Mathematics 2007-05-23 Geoffrey Grimmett

We introduce the cluster algebraic formulation of the integrable difference equations, the discrete Lotka-Volterra equation and the discrete Liouville equation, from the view point of the general T-system and Y-system. We also study the…

Quantum Algebra · Mathematics 2011-09-28 Rei Inoue , Tomoki Nakanishi

Clustering is an unsupervised learning problem that aims to partition unlabelled data points into groups with similar features. Traditional clustering algorithms provide limited insight into the groups they find as their main focus is…

Machine Learning · Computer Science 2022-10-18 Connor Lawless , Oktay Gunluk

The paper deals with dynamics of expanding Lorenz maps, which appear in a natural way as Poincar\`e maps in geometric models of well-known Lorenz attractor. Using both analytical and symbolic approaches, we study connections between…

Dynamical Systems · Mathematics 2024-08-29 Łukasz Cholewa , Piotr Oprocha

We introduce the notions of quasi-Laurent and Laurent families of simple modules over quiver Hecke algebras of arbitrary symmetrizable types. We prove that such a family plays a similar role of a cluster in the quantum cluster algebra…

Representation Theory · Mathematics 2023-06-28 Masaki Kashiwara , Myungho Kim , Se-jin Oh , Euiyong Park

We propose a new approach to building log-canonical coordinate charts for any simply-connected simple Lie group $\G$ and arbitrary Poisson-homogeneous bracket on $\G$ associated with Belavin--Drinfeld data. Given a pair of representatives…

Quantum Algebra · Mathematics 2023-09-01 Misha Gekhtman , Michael Shapiro , Alek Vainshtein

This paper investigates the Poisson geometry of cluster algebras and the corresponding ideal theory of quantum cluster algebras. We then show how our approach can be applied to the ring theory of quantized coordinate rings. We give a new…

Quantum Algebra · Mathematics 2012-10-23 Sebastian Zwicknagl

The pentagram map that associates to a projective polygon a new one formed by intersections of short diagonals was introduced by R. Schwartz and was shown to be integrable by V. Ovsienko, R. Schwartz and S. Tabachnikov. Recently, M. Glick…

Quantum Algebra · Mathematics 2016-05-19 Michael Gekhtman , Michael Shapiro , Serge Tabachnikov , Alek Vainshtein

In 2003, Fomin and Zelevinsky obtained Cartan-Killing type classification of all cluster algebras of finite type, i.e. cluster algebras having only finitely many distinct cluster variables. A wider class of cluster algebras is formed by…

Combinatorics · Mathematics 2019-10-25 Anna Felikson , Michael Shapiro , Pavel Tumarkin

We extend the notion of $y$-variables (coefficients) in cluster algebras to cluster scattering diagrams. Accordingly, we extend the dilogarithm identity associated with a period in a cluster pattern to the one associated with a loop in a…

Combinatorics · Mathematics 2024-07-09 Tomoki Nakanishi

The pentagram map is a projectively natural iteration defined on polygons, and also on a generalized notion of a polygon which we call {\it twisted polygons}. In this note we describe our recent work on the pentagram map, in which we find a…

Dynamical Systems · Mathematics 2009-01-13 Valentin Ovsienko , Richard Schwartz , Serge Tabachnikov

A general technique is presented for constructing a quantum theory of a finite number of interacting particles satisfying Poincar\'e invariance, cluster separability, and the spectral condition. Irreducible representations and…

Nuclear Theory · Physics 2015-06-26 W. N. Polyzou

For some monoids, we give a method of composing invertibility preserving maps associated to "partial involutions." Also, we define the notion of "determinants for finite dimensional algebras over a field." As examples, we give invertibility…

Rings and Algebras · Mathematics 2023-03-03 Naoya Yamaguchi , Yuka Yamaguchi

We introduce a multivariate generalization of normalized Chebyshev polynomials of the second kind. We prove that these polynomials arise in the context of cluster characters associated to Dynkin quivers of type $\mathbb A$ and…

Representation Theory · Mathematics 2009-10-14 G. Dupont

Unsupervised clustering of wafer map defect patterns is challenging because the appearance of certain defect patterns varies significantly. This includes changing shape, location, density, and rotation of the defect area on the wafer. We…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Alina Pleli , Simon Baeuerle , Michel Janus , Jonas Barth , Ralf Mikut , Hendrik P. A. Lensch

We establish a cluster theoretical interpretation of the isomorphisms of [F.-H.-O.-O., J. Reine Angew. Math., 2022] among quantum Grothendieck rings of representations of quantum loop algebras. Consequently, we obtain a quantization of the…

Representation Theory · Mathematics 2023-05-09 Ryo Fujita , David Hernandez , Se-jin Oh , Hironori Oya

A tautological system, introduced in [16][17], arises as a regular holonomic system of partial differential equations that govern the period integrals of a family of complete intersections in a complex manifold $X$, equipped with a suitable…

Algebraic Geometry · Mathematics 2014-10-28 An Huang , Bong H. Lian , Xinwen Zhu

We construct cluster algebras the variables and coefficients of which satisfy the discrete mKdV equation, the discrete Toda equation and other integrable bilinear equations, several of which lead to q-discrete Painlev\'e equations. These…

Mathematical Physics · Physics 2015-09-02 Naoto Okubo

We realize Derksen-Weyman-Zelevinsky's mutations of representations as densely-defined regular maps on representation spaces, and study the generic values of Caldero-Chapoton functions with coefficients, giving, for instance, a sufficient…

Representation Theory · Mathematics 2020-07-13 Christof Geiß , Daniel Labardini-Fragoso , Jan Schröer

We propose a new unsupervised learning method for clustering a large number of time series based on a latent factor structure. Each cluster is characterized by its own cluster-specific factors in addition to some common factors which impact…

Statistics Theory · Mathematics 2022-09-09 Bo Zhang , Guangming Pan , Qiwei Yao , Wang Zhou