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In this expository paper, we present a survey about the history of the geometrization conjecture and the background material on the classification of Thurston's eight geometries. We also discuss recent techniques for immersive visualization…

Geometric Topology · Mathematics 2021-09-15 Tiago Novello , Vinícius da Silva , Luiz Velho , Mikhail Belolipetsky

Semi-Equivelar maps are generalizations of Archimedean solids to the surfaces other than 2-sphere. In earlier work a complete classification of semi-equivelar map of type $(3^5, 4)$ on the surface of Euler characteristic -1 was given. In…

Geometric Topology · Mathematics 2013-10-22 Ashish K Upadhyay , Anand K Tiwari

We consider a network in the Euclidean plane that consists of three distinct half-lines with common start points. From that network as initial condition, there exists a network that consists of three curves that all start at one point,…

Differential Geometry · Mathematics 2007-05-23 Oliver C. Schnürer , Felix Schulze

In this paper, we study a flag complex which is naturally associated to the Thurston theory of surface diffeomorphisms for compact connected orientable surfaces with boundary. The various pieces of the Thurston decomposition of a surface…

Geometric Topology · Mathematics 2007-05-23 John D. McCarthy , Athanase Papadopoulos

The aim of these lecture notes is, after having quickly described various compactifications of the Teichm\"{u}ller space of a compact connected oriented surface minus finitely many points, to give a construction, by the equivariant Gromov…

Complex Variables · Mathematics 2016-08-16 Frédéric Paulin

For each fixed n>=2 we show how the Nielsen-Thurston classification of mapping classes for a closed surface of genus g>=2 is determined by the sequence of quantum SU(n) representations, when one considers all levels. That this is the case…

Quantum Algebra · Mathematics 2007-05-23 Jorgen Ellegaard Andersen

We introduce $(k,l)$-regular maps, which generalize two previously studied classes of maps: affinely $k$-regular maps and totally skew embeddings. We exhibit some explicit examples and obtain bounds on the least dimension of a Euclidean…

Differential Geometry · Mathematics 2007-05-23 Gordana Stojanovic

The Nil geometry, which is one of the eight 3-dimensional Thurston geometries, can be derived from {W. Heisenberg}'s famous real matrix group. The aim of this paper to study {\it lattice coverings} in Nil space. We introduce the notion of…

Metric Geometry · Mathematics 2016-08-14 Jenő Szirmai

Generating point clouds, e.g., molecular structures, in arbitrary rotations, translations, and enumerations remains a challenging task. Meanwhile, neural networks utilizing symmetry invariant layers have been shown to be able to optimize…

Machine Learning · Computer Science 2019-11-18 Moritz Hoffmann , Frank Noé

Wave maps (or Lorentzian-harmonic maps) from a $1+1$-dimensional Lorentz space into the $2$-sphere are associated to constant negative Gaussian curvature surfaces in Euclidean 3-space via the Gauss map, which is harmonic with respect to the…

Differential Geometry · Mathematics 2020-02-03 David Brander , Farid Tari

The Thurston norm of a 3-manifold measures the complexity of surfaces representing two-dimensional homology classes. We study the possible unit balls of Thurston norms of 3-manifolds $M$ with $b_1(M) = 2$, and whose fundamental groups admit…

Geometric Topology · Mathematics 2024-03-11 Natalia Pacheco-Tallaj , Kevin Schreve , Nicholas G. Vlamis

Laplacian-based methods are popular for the dimensionality reduction of data lying in $\mathbb{R}^N$. Several theoretical results for these algorithms depend on the fact that the Euclidean distance locally approximates the geodesic distance…

Machine Learning · Computer Science 2025-09-24 Liane Xu , Amit Singer

Universal circles, introduced by Thurston and Calegari--Dunfield, are not well understood in general. Recently, the author together with Taylor showed that Anosov foliations with branching admit nonconjugate universal circles. We continue…

Geometric Topology · Mathematics 2026-04-26 Ellis Buckminster

We consider general integrable curve nets in Euclidean space as a particular integrable geometry invariant with respect to rigid motions and net-preserving reparameterisations. For the purpose of their description, we first give an overview…

Differential Geometry · Mathematics 2025-04-29 Michal Marvan

We compute the structure groups of almost even-Clifford Hermitian manifolds and determine when such groups lead to Spin structures.

Differential Geometry · Mathematics 2018-06-12 Gerardo Arizmendi , Ana Lucia Garcia-Pulido , Rafael Herrera

Generally speaking, `almost distance-regular' graphs share some, but not necessarily all, of the regularity properties that characterize distance-regular graphs. In this paper we propose two new dual concepts of almost distance-regularity,…

Combinatorics · Mathematics 2012-07-17 Cristina Dalfó , Edwin R. van Dam , Miquel Angel Fiol , Ernest Garriga

We investigate flat maps where the source or target is a Noetherian ring, giving necessary and/or sufficient conditions on a ring for such maps to exist. Along the way, we develop some general facts about flat ring maps, and exhibit many…

Commutative Algebra · Mathematics 2017-11-15 Justin Chen

Let $f$ be a postcritically finite branched self-cover of a 2-dimensional topological sphere. Such a map induces an analytic self-map $\sigma_f$ of a finite-dimensional Teichm\"uller space. We prove that this map extends continuously to the…

Dynamical Systems · Mathematics 2012-04-30 Nikita Selinger

Rough set theory is a new mathematical approach to imperfect knowledge. The notion of rough sets is generalized by using an arbitrary binary relation on attribute values in information systems, instead of the trivial equality relation. The…

General Mathematics · Mathematics 2015-02-24 M. Abo-Elhamayel

We define a class of Euclidean distances on weighted graphs, enabling to perform thermodynamic soft graph clustering. The class can be constructed form the "raw coordinates" encountered in spectral clustering, and can be extended by means…

Machine Learning · Statistics 2010-09-15 François Bavaud