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We construct Grothendieck topologies on the path category of a finite graph, examining both coarse and discrete cases that offer different perspectives on quiver representations. The coarse topology declares each vertex covered by all…

Category Theory · Mathematics 2025-10-28 Eric M. Schmid , Fernando Tohmé , William Chin

Convergence spaces are a generalization of topological spaces. The category of convergence spaces is well-suited for Algebraic Topology, one of the reasons is the existence of exponential objects provided by continuous convergence. In this…

Algebraic Topology · Mathematics 2024-12-24 Rodrigo Santos Monteiro

We provide numerical evidence demonstrating the necessity of employing a superparametric geometry representation in order to obtain optimal convergence orders on two-dimensional domains with curved boundaries when solving the Euler…

Numerical Analysis · Computer Science 2017-06-13 Philip Zwanenburg , Siva Nadarajah

This paper lays out a foundation for a theory of supertropical algebraic geometry, relying on commutative $\nu$-algebra. To this end, the paper introduces $\mathfrak{q}$-congruences, carried over $\nu$-semirings, whose distinguished ghost…

Commutative Algebra · Mathematics 2019-01-24 Zur Izhakian

Theory of representations of universal algebra is a natural development of the theory of universal algebra. In the book, I considered representation of universal algebra, diagram of representations and examples of representation. Morphism…

General Mathematics · Mathematics 2022-05-01 Aleks Kleyn

Many interesting classes of maps from homotopical algebra can be characterised as those maps with the right lifting property against certain sets of maps (such classes are sometimes referred to as cofibrantly generated). In a more…

Category Theory · Mathematics 2018-02-20 Andrew Swan

Representation learning on graphs is a fundamental problem that can be crucial in various tasks. Graph neural networks, the dominant approach for graph representation learning, are limited in their representation power. Therefore, it can be…

Machine Learning · Computer Science 2025-01-17 Zuoyu Yan , Qi Zhao , Ze Ye , Tengfei Ma , Liangcai Gao , Zhi Tang , Yusu Wang , Chao Chen

We describe explicitly the Grothendieck rings of finite-dimensional representations of the periplectic Lie superalgebras. In particular, the Grothendieck ring of the Lie supergroup $P(n)$ is isomorphic to the ring of symmetric polynomials…

Representation Theory · Mathematics 2019-06-06 Mee Seong Im , Shifra Reif , Vera Serganova

We reformulate superalgebra and supergeometry in completely categorical terms by a consequent use of the functor of points. The increased abstraction of this approach is rewarded by a number of great advantages. First, we show that one can…

Algebraic Geometry · Mathematics 2008-02-28 Christoph Sachse

We discuss the problem of characterizing the property of a Grothendieck topos to satisfy a given 'geometric' invariant as a property of its sites of definition, and indicate a set of general techniques for establishing such criteria. We…

Category Theory · Mathematics 2013-04-26 Olivia Caramello

We propose a generalisation of the Jacquet-Langlands correspondence to the whole Grothendieck group of finite lenght admissible representations. As an application we prove some particular cases of the global Jacquet-Langlands…

Group Theory · Mathematics 2007-05-23 Alexandru Ioan Badulescu

Numerous Lie supergroups do not admit superunitary representations except the trivial one, e.g., Heisenberg and orthosymplectic supergroups in mixed signature. To avoid this situation, we introduce in this paper a broader definition of…

Representation Theory · Mathematics 2017-09-05 Axel de Goursac , Jean-Philippe Michel

Covering theory is an important tool in representation theory of algebras, however, the results and the proofs are scattered in the literature. We give an introduction to covering theory at a level as elementary as possible.

Representation Theory · Mathematics 2026-05-29 Yuming Liu , Nengqun Li , Bohan Xing , Pengyun Chen

Polygon representation learning is essential for diverse applications, encompassing tasks such as shape coding, building pattern classification, and geographic question answering. While recent years have seen considerable advancements in…

Computer Vision and Pattern Recognition · Computer Science 2025-04-10 Dazhou Yu , Yuntong Hu , Yun Li , Liang Zhao

In this paper, we study the relation between the cocenter and the representation theory of affine Hecke algebras. The approach is based on the interaction between the rigid cocenter, an important subspace of the cocenter, and the dual…

Representation Theory · Mathematics 2014-09-04 Dan Ciubotaru , Xuhua He

Toen has interpreted the schematization problem as originally imagined by Grothendieck in "Pursuing Stacks" in such a way that solution(s) to this problem could be given. As he pointed out, there are many solutions available, and he gave…

Algebraic Geometry · Mathematics 2022-05-05 Renaud Gauthier

Theory of representations of F-algebra is a natural development of the theory of F-algebra. Exploring of morphisms of the representation leads to the concepts of generating set and basis of representation. In the book I considered the…

General Mathematics · Mathematics 2024-10-22 Aleks Kleyn

A central question in cognitive science is whether conceptual representations converge onto a shared manifold to support generalization, or diverge into orthogonal subspaces to minimize task interference. While prior work has discovered…

Computation and Language · Computer Science 2026-02-09 Zhimin Hu , Lanhao Niu , Sashank Varma

The probability representation, in which cosmological quantum states are described by a standard positive probability distribution, is constructed for minisuperspace models selected by Noether symmetries. In such a case, the tomographic…

General Relativity and Quantum Cosmology · Physics 2008-12-18 S. Capozziello , V. I. Man'ko , G. Marmo , C. Stornaiolo

We introduce a simple autoencoder based on hyperbolic geometry for solving standard collaborative filtering problem. In contrast to many modern deep learning techniques, we build our solution using only a single hidden layer. Remarkably,…

Information Retrieval · Computer Science 2020-08-18 Leyla Mirvakhabova , Evgeny Frolov , Valentin Khrulkov , Ivan Oseledets , Alexander Tuzhilin
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