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Rigorous theories connecting physical properties of a heterogeneous material to its microstructure offer a promising avenue to guide the computational material design and optimization. We present here an efficient Fourier-space based…

Materials Science · Physics 2024-12-13 Wenlong Shi , Yang Jiao , Salvatore Torquato

The moduli space of cubic surfaces in complex projective space is known to be isomorphic to the quotient of the complex 4-ball by a certain arithmetic group. We apply Borcherds' techniques to construct automorphic forms for this group and…

Algebraic Geometry · Mathematics 2007-05-23 Daniel Allcock , Eberhard Freitag

Adaptive multilevel finite element methods are developed and analyzed for certain elliptic systems arising in geometric analysis and general relativity. This class of nonlinear elliptic systems of tensor equations on manifolds is first…

Numerical Analysis · Mathematics 2010-01-12 Michael Holst

This is the first paper in a series of eight where in the first three we develop a systematic approach to the geometric algebras of multivectors and extensors, followed by five papers where those algebraic concepts are used in a novel…

Differential Geometry · Mathematics 2007-05-23 A. M. Moya , V. V. Fernandez , W. A. Rodrigues

Just how many different connected shapes result from slicing a cube along some of its edges and unfolding it into the plane? In this article we answer this question by viewing the cube both as a surface and as a graph of vertices and edges.…

Group Theory · Mathematics 2016-04-20 Richard Goldstone , Robert Suzzi Valli

Existing structural analysis methods may fail to find all hidden constraints for a system of differential-algebraic equations with parameters if the system is structurally unamenable for certain values of the parameters. In this paper, for…

Numerical Analysis · Mathematics 2024-01-11 Wenqiang Yang , Wenyuan Wu , Greg Reid

An algorithm is developed for efficiently constructing the Lorentz covariant effective three-point vertices of the decay of a particle into two daughter particles in which all the masses and spins of the three particles can be arbitrary.…

High Energy Physics - Phenomenology · Physics 2022-02-02 Seong Youl Choi , Jae Hoon Jeong

The principal theory of this paper comprises a technique for constructing associative, coassociative and Cayley submanifolds of Euclidean space with symmetries, using first-order ordinary differential equations. Explicit examples of…

Differential Geometry · Mathematics 2008-03-04 Jason Lotay

We prove that many aspects of the differential geometry of embedded Riemannian manifolds can be formulated in terms of multi linear algebraic structures on the space of smooth functions. In particular, we find algebraic expressions for…

Differential Geometry · Mathematics 2010-09-27 Joakim Arnlind , Jens Hoppe , Gerhard Huisken

We initiate a systematic study of intrinsic dimensional versions of classical functional inequalities which capture refined properties of the underlying objects. We focus on model spaces: Euclidean space, Hamming cube, and manifolds of…

Probability · Mathematics 2023-04-28 Alexandros Eskenazis , Yair Shenfeld

We show that the hyperbolic structure on a closed, orientable, hyperbolic 3-manifold can be constructed from a solution to the hyperbolic gluing equations using any triangulation with essential edges. The key ingredients in the proof are…

Geometric Topology · Mathematics 2010-04-20 Feng Luo , Stephan Tillmann , Tian Yang

It is well known that a three dimensional (closed, connected and compact) manifold is obtained by identifying boundary faces from a polyhedron P. The study of (\partial P)/~, the boundary \partial P with the polygonal faces identified in…

General Mathematics · Mathematics 2007-05-23 Sergey Nikitin

The key result in the present paper is a direct analogue of the celebrated Thurston's Theorem for marked Thurston maps with parabolic orbifolds. Combining this result with previously developed techniques, we prove that every Thurston map…

Dynamical Systems · Mathematics 2013-10-08 Nikita Selinger , Michael Yampolsky

Motivated by geometry processing for surfaces with non-trivial topology, we study discrete harmonic maps between closed surfaces of genus at least two. Harmonic maps provide a natural framework for comparing surfaces by minimizing…

Numerical Analysis · Mathematics 2025-09-03 Zhipeng Zhu , Wai Yeung Lam , Lok Ming Lui

We describe three identification spaces of the square, interesting choices of immersion into $\mathbb{R}^3$, and a process to construct 3d-printable models of their parametrizations.

Algebraic Topology · Mathematics 2019-09-16 Mikael Vejdemo-Johansson

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

In a recent paper the authors classified differentiable structures on the non-Hausdorff one-dimensional manifold $\mathbb{L}$ called the line with two origins which is obtained by gluing two copies of the real line $\mathbb{R}$ via the…

Differential Geometry · Mathematics 2025-07-08 Mykola Lysynskyi , Sergiy Maksymenko

We classify thick irreducible 3-spherical twin buildings of rank at least 3 in which every panel contains at least 6 chambers. Together with the Main result of [11] we obtain a classification of thick irreducible 3-spherical twin buildings.

Group Theory · Mathematics 2023-07-19 Sebastian Bischof

Among eight possible geometric structures on three-dimensional manifolds less studied from the differential geometric point of view are those modelled on the Heisenberg group $Heis^3$. We consider the Heisenberg left-invariant metric and…

Differential Geometry · Mathematics 2025-10-20 Andrey Marenich

Quantification of the number of variables needed to locally explain complex data is often the first step to better understanding it. Existing techniques from intrinsic dimension estimation leverage statistical models to glean this…

Machine Learning · Computer Science 2023-12-13 Eric Yeats , Cameron Darwin , Frank Liu , Hai Li