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We present a case study elaborating on the multiplicity and self-similarity of homoclinic and heteroclinic bifurcation structures in the 2D and 3D parameter spaces of a nonlinear laser model with a Lorenz-like chaotic attractor. In a…

Pattern Formation and Solitons · Physics 2020-10-28 K. Pusuluri , H. G. E. Meijer , A. L. Shilnikov

A topological approach to stratification learning is developed for point cloud data drawn from a stratified space. Given such data, our objective is to infer which points belong to the same strata. First we define a multi-scale notion of a…

Geometric Topology · Mathematics 2010-08-24 Paul Bendich , Sayan Mukherjee , Bei Wang

Topological effects produce chaos in multiagent simulation and distributed computation. We explain this result by developing three themes concerning complex systems in the natural and social sciences: (i) Pragmatically, a system is complex…

chao-dyn · Physics 2007-05-23 David A. Meyer

We describe a family of 3d topological B-models whose target spaces are Hilbert schemes of points in $\mathbb{C}^2$. The interfaces separating theories with different numbers of points correspond to braid strands. The Hilbert space of the…

Geometric Topology · Mathematics 2023-02-28 Alexei Oblomkov , Lev Rozansky

The nonlinear dynamics of a recently derived generalized Lorenz model (Macek and Strumik, Phys. Rev. E 82, 027301, 2010) of magnetoconvection is studied. A bifurcation diagram is constructed as a function of the Rayleigh number where…

Fluid Dynamics · Physics 2020-10-28 Francis F. Franco , Erico L. Rempel

Given a suitable functor T:C -> D between model categories, we define a long exact sequence relating the homotopy groups of any X in C with those of TX, and use this to describe an obstruction theory for lifting an object G in D to C.…

Algebraic Topology · Mathematics 2007-05-23 David Blanc

The present paper points out to a novel scenario for formation of chaotic attractors in a class of models of excitable cell membranes near an Andronov-Hopf bifurcation (AHB). The mechanism underlying chaotic dynamics admits a simple and…

Chaotic Dynamics · Physics 2009-11-13 Georgi S. Medvedev , Yun Yoo

The rapid emergence of single-cell data has facilitated the study of many different biological conditions at the cellular level. Cluster analysis has been widely applied to identify cell types, capturing the essential patterns of the…

Genomics · Quantitative Biology 2025-02-03 Sebastian Pena , Lin Lin , Jia Li

Manifold calculus is a form of functor calculus concerned with functors from some category of manifolds to spaces. A weakness in the original formulation is that it is not continuous in the sense that it does not handle well the natural…

Algebraic Topology · Mathematics 2017-11-27 Pedro Boavida de Brito , Michael S. Weiss

This is a glossary of notions and methods related with the topological theory of collections of affine planes, including braid groups, configuration spaces, order complexes, stratified Morse theory, simplicial resolutions, complexes of…

Geometric Topology · Mathematics 2014-07-29 Victor A. Vassiliev

By Rickard's work, two rings are derived equivalent if there is a tilting complex, constructed from projective modules over the first ring such that the second ring is the endomorphism ring of this tilting complex. In this work I describe,…

Rings and Algebras · Mathematics 2007-05-23 Intan Muchtadi-Alamsyah

In Floer theory one has to deal with two-level manifolds like for instance the space of $W^{2,2}$ loops and the space of $W^{1,2}$ loops. Gradient flow lines in Floer theory are then trajectories in a two-level manifold. Inspired by our…

Symplectic Geometry · Mathematics 2025-07-08 Urs Frauenfelder , Joa Weber

Complete digraphs are referred to in the combinatorics literature as tournaments. We consider a family of semi-simplicial complexes, that we refer to as "tournaplexes", whose simplices are tournaments. In particular, given a digraph…

Algebraic Topology · Mathematics 2021-01-06 Dejan Govc , Ran Levi , Jason P. Smith

As complex networks find applications in a growing range of disciplines, the diversity of naturally occurring and model networks being studied is exploding. The adoption of a well-developed collection of network taxonomies is a natural…

Combinatorics · Mathematics 2016-01-25 Ann Sizemore , Chad Giusti , Danielle Bassett

In recent years, attempts to generalize lattice gauge theories to model topological order have been carried out through the so called $2$-gauge theories. These have opened the door to interesting new models and new topological phases which…

Mathematical Physics · Physics 2020-06-16 R. Costa de Almeida , J. P. Ibieta-Jimenez , J. Lorca Espiro , P. Teotonio-Sobrinho

These notes are an expanded version of evening talks at the 2025 Georgia International Topology Conference, and an abbreviated version of talks at Georgia Tech, which were aimed at graduate students. The hope was to indicate a common…

Geometric Topology · Mathematics 2026-05-06 John B. Etnyre

This survey presents some recent results by the authors and Polterovich on the topological properties of ruled symplectic manifolds. The bundle M \to P \to B that is associated with a ruled manifold has the group of Hamiltonian…

Symplectic Geometry · Mathematics 2007-05-23 Francois Lalonde , Dusa McDuff

In this PhD thesis, we give a new geometric approach to higher Teichm\"uller theory. In particular we construct a geometric structure on surfaces, generalizing the complex structure, and we explore its link to Hitchin components. The…

Differential Geometry · Mathematics 2020-07-02 Alexander Thomas

Quantum mechanical systems with some degree of complexity due to multiple scattering behave as if their Hamiltonians were random matrices. Such behavior, while originally surmised for the interacting many-body system of highly excited…

Disordered Systems and Neural Networks · Physics 2015-04-01 Martin R. Zirnbauer

When analyzing parametric statistical models, a useful approach consists in modeling geometrically the parameter space. However, even for very simple and commonly used hierarchical models like statistical mixtures or stochastic deep neural…

Machine Learning · Computer Science 2021-12-08 Pascal Mattia Esser , Frank Nielsen