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Dynamic graph clustering aims to detect and track time-varying clusters in dynamic graphs, revealing how complex real-world systems evolve over time. However, existing methods are predominantly black-box models. They lack interpretability…

Machine Learning · Computer Science 2026-03-17 Dongyuan Li , Ying Zhang , Yaozu Wu , Renhe Jiang

As a generalization of Postnikov's construction (see arXiv: math/0609764), we define a map from the space of edge weights of a directed network in an annulus into a space of loops in the Grassmannian. We then show that universal Poisson…

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

Given a complex of groups, we construct a new class of complex of groups that records its local data and offer a functorial perspective on the statement that complexes of groups are locally developable. We also construct a new notion of an…

Group Theory · Mathematics 2025-10-03 Jagerynn Ting Verano

Just like decent classical difference-difference systems define symplectic maps on suitable phase spaces, their counterparts with properly ordered noncommutative entries come as Heisenberg equations of motion for corresponding quantum…

High Energy Physics - Theory · Physics 2007-05-23 L. D. Faddeev , A. Yu. Volkov

The pentagram map is a discrete integrable system on the moduli space of planar polygons. The corresponding first integrals are so-called monodromy invariants $E_1, O_1, E_2, O_2,\dots$ By analyzing the combinatorics of these invariants,…

Exactly Solvable and Integrable Systems · Physics 2016-10-03 Anton Izosimov

This is a self-contained exposition of several fundamental properties of cluster scattering diagrams introduced and studied by Gross, Hacking, Keel, and Kontsevich. In particular, detailed proofs are presented for the construction, the…

Combinatorics · Mathematics 2023-02-23 Tomoki Nakanishi

The general framework for integrable discrete systems on R in particular containing lattice soliton systems and their q-deformed analogues is presented. The concept of regular grain structures on R, generated by discrete one-parameter…

Exactly Solvable and Integrable Systems · Physics 2016-02-18 Maciej Blaszak , Metin Gurses , Burcu Silindir , Blazej M. Szablikowski

Small-world networks, which combine randomized and structured elements, are seen as prevalent in nature. Several random graph models have been given for small-world networks, with one of the most fruitful, introduced by Jon Kleinberg,…

Data Structures and Algorithms · Computer Science 2007-05-23 Oskar Sandberg , Ian Clarke

We study the integrability of a family of birational maps obtained as reductions of the discrete Hirota equation, which are related to travelling wave solutions of the lattice KdV equation. In particular, for reductions corresponding to…

Mathematical Physics · Physics 2020-03-20 Andrew N. W. Hone , Theodoros E. Kouloukas

We establish the Liouville integrability of the differential equation $\dot S(t)= [N,S^2(t)],$ recently considered by Bloch and Iserles. Here, $N$ is a real, fixed, skew-symmetric matrix and $S$ is real symmetric. The equation is realized…

Classical Analysis and ODEs · Mathematics 2007-05-23 Carlos Tomei , Luen-Chau Li

We propose a novel model-reduction methodology for large-scale dynamic networks with tightly-connected components. First, the coherent groups are identified by a spectral clustering algorithm on the graph Laplacian matrix that models the…

Systems and Control · Electrical Eng. & Systems 2022-10-04 Hancheng Min , Enrique Mallada

A conceptual framework for cluster analysis from the viewpoint of p-adic geometry is introduced by describing the space of all dendrograms for n datapoints and relating it to the moduli space of p-adic Riemannian spheres with punctures…

Machine Learning · Statistics 2009-12-01 Patrick Erik Bradley

This paper studies a certain completely integrable discretization of the KP hierarchy. This was constructed by Gieseker in \cite{Gie1}, from certain algebro-geometric data. This paper has the dual aim of showing that this construction is…

Mathematical Physics · Physics 2007-05-23 Ali Ulas Ozgur Kisisel

This paper is devoted to tetrahedron maps, which are set-theoretical solutions to the Zamolodchikov tetrahedron equation. We construct a family of tetrahedron maps on associative rings. We show that matrix tetrahedron maps presented in…

Exactly Solvable and Integrable Systems · Physics 2022-09-14 Sergei Igonin

We give an explicit combinatorial description of cluster structures in Schubert varieties of the Grassmannian in terms of (target labelings of) Postnikov's plabic graphs. This description is a natural generalization of the description given…

Combinatorics · Mathematics 2018-11-08 Khrystyna Serhiyenko , Melissa Sherman-Bennett , Lauren Williams

The article presents a compact review of the analytical results (2002-2009) in the study of the system describing the motion of a top in two constant fields. The Liouville integrability of this system under certain condition of the…

Dynamical Systems · Mathematics 2012-11-26 Mikhail P. Kharlamov , Alexander Y. Savushkin

The pentagram map has been studied in a series of papers by Schwartz and others. Schwartz showed that an axis-aligned polygon collapses to a point under a predictable number of iterations of the pentagram map. Glick gave a different proof…

Metric Geometry · Mathematics 2014-10-30 Zijian Yao

In this paper we revisit an integrable map of the plane which we obtained recently as a two-parameter family of deformed mutations in the cluster algebra of type D$_4$. The rational first integral for this map defines an invariant foliation…

Exactly Solvable and Integrable Systems · Physics 2026-01-21 A. N. W. Hone , W. Kim , T. Mase

In this paper we characterise graph inverse semigroups which admit only discrete locally compact semigroup topology. This characterization provides a complete answer on the question of Z. Mesyan, J. D. Mitchell, M. Morayne and Y. H.…

General Topology · Mathematics 2017-09-12 Serhii Bardyla

The diffusion maps embedding of data lying on a manifold has shown success in tasks such as dimensionality reduction, clustering, and data visualization. In this work, we consider embedding data sets that were sampled from a manifold which…

Machine Learning · Computer Science 2024-08-08 Eitan Rosen , Xiuyuan Cheng , Yoel Shkolnisky
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