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The subject of moving curves (and surfaces) in three dimensional space (3-D) is a fascinating topic not only because it represents typical nonlinear dynamical systems in classical mechanics, but also finds important applications in a…

Pattern Formation and Solitons · Physics 2015-06-26 S. Murugesh , M. Lakshmanan

Classical (Euclidean) Laguerre geometry studies oriented hyperplanes, oriented hyperspheres, and their oriented contact in Euclidean space. We describe how this can be generalized to arbitrary Cayley-Klein spaces, in particular hyperbolic…

Metric Geometry · Mathematics 2020-09-03 Alexander I. Bobenko , Carl O. R. Lutz , Helmut Pottmann , Jan Techter

We study the problem posed by F. Burstall of developing a theory of isothermic Euclidean submanifolds of dimension greater than or equal to three. As a natural extension of the definition in the surface case, we call a Euclidean submanifold…

Differential Geometry · Mathematics 2007-05-23 Ruy Tojeiro

Space-saving design is a requirement that is encountered in biological systems and the development of modern technological devices alike. Many living organisms dynamically pack their polymer chains, filaments or membranes inside of…

Soft Condensed Matter · Physics 2014-07-18 Roman Vetter , Falk K. Wittel , Hans J. Herrmann

We investigate a system of geometric evolution equations describing a curvature and torsion driven motion of a family of 3D curves in the normal and binormal directions. We explore the direct Lagrangian approach for treating the geometric…

Analysis of PDEs · Mathematics 2024-05-03 Miroslav Kolar , Daniel Sevcovic

We report experimental extensions of Lenia, a continuous cellular automata family capable of producing lifelike self-organizing autonomous patterns. The rule of Lenia was generalized into higher dimensions, multiple kernels, and multiple…

Cellular Automata and Lattice Gases · Physics 2021-07-12 Bert Wang-Chak Chan

Theoretical understanding of evolutionary dynamics in spatially structured populations often relies on non-spatial models. Biofilms are among such populations where a more accurate understanding is of theoretical interest and can reveal new…

Biological Physics · Physics 2021-05-26 Youness Azimzade , Abbas Ali Saberi

We study an evolution problem in the space of continuous loops in three-dimensional Euclidean space modelled upon the dynamics of vortex lines in 3d incompressible and inviscid fluids. We establish existence of a local solution starting…

Probability · Mathematics 2007-05-23 Hakima Bessaih , Massimiliano Gubinelli , Francesco Russo

Experiments in quasi 2-dimensional geometry (Hele Shaw cells) in which a fluid is injected into a visco-elastic medium (foam, clay or associating-polymers) show patterns akin to fracture in brittle materials, very different from standard…

Statistical Mechanics · Physics 2009-11-07 Anders Levermann , Itamar Procaccia

Here we present first results simulating plasma filaments in non-axisymmetric geometries, using a fluid turbulence extension of the \boutxx~framework. This is made possible by the implementation of the Flux Coordinate Independent scheme for…

Plasma Physics · Physics 2018-12-26 B Shanahan , B Dudson , P Hill

We complete a minor gap in Gromoll and Walschap classification of metric fibrations from the Euclidean space, thus completing the classification of Riemannian foliations on Euclidean spaces.

Differential Geometry · Mathematics 2018-06-26 Llohann D. Sperança , Steffen Weil

Starting with Tukey's pioneering work in the 1970's, the notion of depth in statistics has been widely extended especially in the last decade. These extensions include high dimensional data, functional data, and manifold-valued data. In…

Statistics Theory · Mathematics 2020-11-24 Alejandro Cholaquidis , Ricardo Fraiman , Fabrice Gamboa , Leonardo Moreno

The theory of integrable systems of Hamiltonian PDEs and their near-integrable deformations is used to study evolution equations resulting from vertical-averages of the Euler system for two-layer stratified flows in an infinite 2D channel.…

Mathematical Physics · Physics 2015-12-24 R. Camassa , G. Falqui , G. Ortenzi

There has recently been increasing interest in learning representations of temporal knowledge graphs (KGs), which record the dynamic relationships between entities over time. Temporal KGs often exhibit multiple simultaneous non-Euclidean…

Machine Learning · Computer Science 2020-12-03 Zhen Han , Yunpu Ma , Peng Chen , Volker Tresp

The lilypond model on a point process in $d$-space is a growth-maximal system of non-overlapping balls centred at the points. We establish central limit theorems for the total volume and the number of components of the lilypond model on a…

Probability · Mathematics 2010-08-05 Guenter Last , Mathew D. Penrose

Modeling videos and image-sets as linear subspaces has proven beneficial for many visual recognition tasks. However, it also incurs challenges arising from the fact that linear subspaces do not obey Euclidean geometry, but lie on a special…

Computer Vision and Pattern Recognition · Computer Science 2014-07-07 Mehrtash T. Harandi , Mathieu Salzmann , Sadeep Jayasumana , Richard Hartley , Hongdong Li

We briefly review the properties of radially growing interfaces and their connection to biological growth. We focus on simplified models which result from the abstraction of only considering domain growth and not the interface curvature.…

Statistical Mechanics · Physics 2011-10-04 Carlos Escudero

We describe cosmological simulation techniques and their application to studies of cosmic structure formation, with particular attention to recent hydrodynamic simulations of structure in the high redshift universe. Collisionless N-body…

Astrophysics · Physics 2008-02-03 David H. Weinberg , Neal Katz , Lars Hernquist

A curious feature of organ and organoid morphogenesis is that in certain cases, spatial oscillations in the thickness of the growing "film" are out-of-phase with the deformation of the slower-growing "substrate," while in other cases, the…

Biological Physics · Physics 2018-12-26 T. A. Engstrom , Teng Zhang , A. K. Lawton , A. L. Joyner , J. M. Schwarz

Large language models (LLMs) have achieved remarkable success and demonstrated superior performance across various tasks, including natural language processing (NLP), weather forecasting, biological protein folding, text generation, and…

Artificial Intelligence · Computer Science 2025-12-09 Sarang Patil , Zeyong Zhang , Yiran Huang , Tengfei Ma , Mengjia Xu
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