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We adapt the commutator theory of universal algebra to the particular setting of racks and quandles, exploiting a Galois connection between congruences and certain normal subgroups of the displacement group. Congruence properties such as…

Group Theory · Mathematics 2020-03-19 Marco Bonatto , David Stanovský

We define combinatorial counterparts to the geometric string vertices of Sen-Zwiebach and Costello-Zwiebach, which are certain closed subsets of the moduli spaces of curves. Our combinatorial vertices contain the same information as the…

Algebraic Topology · Mathematics 2020-09-16 Andrei Caldararu , Kevin Costello , Junwu Tu

Systems of polynomial equations over an algebraically-closed field K can be used to concisely model many combinatorial problems. In this way, a combinatorial problem is feasible (e.g., a graph is 3-colorable, hamiltonian, etc.) if and only…

Combinatorics · Mathematics 2008-01-25 J. A. De Loera , J. Lee , P. Malkin , S. Margulies

It has been realised recently that there is no unique way to describe the physical states of a given string theory. In particular, it has been shown that any bosonic string theory can be embedded in a particular $N{=}1$ string background in…

High Energy Physics - Theory · Physics 2009-10-22 J. M. Figueroa-O'Farrill

We prove that an arbitrary countable dimensional Lie algebra over a field of characteristic $\neq 2$ that is locally of subexponential growth is embeddable in a finitely generated Lie algebra of subexponential growth.

Rings and Algebras · Mathematics 2017-12-21 Adel Alahmadi , Hamed Alsulami

Using standard techniques from combinatorics, model theory, and algebraic geometry, we prove generalized versions of several basic results in the theory of spectrally arbitrary matrix patterns. Also, we point out a counterexample to a…

Combinatorics · Mathematics 2017-05-25 Yaroslav Shitov

We study complexity measures on subsets of the boolean hypercube and exhibit connections between algebra (the Hilbert function) and combinatorics (VC theory). These connections yield results in both directions. Our main complexity-theoretic…

Combinatorics · Mathematics 2020-05-25 Shay Moran , Cyrus Rashtchian

We study which von Neumann algebras can be embedded into uniform Roe algebras and quasi-local algebras associated to a uniformly locally finite metric space $X$. Under weak assumptions, these $\mathrm{C}^*$-algebras contain embedded copies…

Operator Algebras · Mathematics 2023-02-20 Florent P. Baudier , Bruno de Mendonça Braga , Ilijas Farah , Alessandro Vignati , Rufus Willett

Predicting missing links between entities in a knowledge graph is a fundamental task to deal with the incompleteness of data on the Web. Knowledge graph embeddings map nodes into a vector space to predict new links, scoring them according…

Artificial Intelligence · Computer Science 2023-02-14 Cosimo Gregucci , Mojtaba Nayyeri , Daniel Hernández , Steffen Staab

We introduce the notion of a combinatorial $n$-od cover, for $n \geq 3$, which is a tool that may be used to show that certain continua embedded in the plane are not simple $n$-od-like. Using this tool, we generalize a classic example of…

General Topology · Mathematics 2025-06-16 Logan C. Hoehn , Hugo Adrian Maldonado-Garcia

In a closed 2-cell embedding of a graph each face is homeomorphic to an open disk and is bounded by a cycle in the graph. The Orientable Strong Embedding Conjecture says that every 2-connected graph has a closed 2-cell embedding in some…

Combinatorics · Mathematics 2009-11-17 M. N. Ellingham , Xiaoya Zha

In this paper, we present a complete classification of 2-dimensional endo-commutative straight algebras of type II$_1$ over any field. An endo-commutative algebra is a non-associative algebra in which the square mapping preserves…

Rings and Algebras · Mathematics 2024-03-01 Sin-Ei Takahasi , Kiyoshi Shirayanagi , Makoto Tsukada

In this article, following an insight of Kontsevich, we extend the famous Weil conjecture (as well as the strong form of the Tate conjecture) from the realm of algebraic geometry to the broad noncommutative setting of dg categories. As a…

Algebraic Geometry · Mathematics 2019-12-09 Goncalo Tabuada

In this paper, we provide a complete classification of 2-dimensional endo-commutative straight algebras of type I over any field. An endo-commutative algebra is a non-associative algebra in which the square mapping preserves multiplication.…

Rings and Algebras · Mathematics 2023-07-06 Sin-Ei Takahasi , Kiyoshi Shirayanagi , Makoto Tsukada

We consider two algebras of curves associated to an oriented surface of finite type - the cluster algebra from combinatorial algebra, and the skein algebra from quantum topology. We focus on generalizations of cluster algebras and…

Geometric Topology · Mathematics 2025-03-18 Hiroaki Karuo , Han-Bom Moon , Helen Wong

This paper classifies and constructs explicitly all the irreducible representations of affine Hecke algebras of rank two root systems. The methods used to obtain this classification are primarily combinatorial and are, for the most part, an…

Representation Theory · Mathematics 2007-05-23 Arun Ram

Whitney proved that 3-connected planar graphs admit a unique embedding on the sphere. In contrast, Enami investigated embeddings of 3-connected cubic planar graphs on non-spherical surfaces with non-negative Euler characteristic. He…

Combinatorics · Mathematics 2026-05-25 Meike Weiß , Alice C. Niemeyer

In the literature on Kleene algebra (KA), a number of variants have been proposed such as Kleene algebra with tests, commutative KA, bi-KA, and concurrent KA. The equational theories of some of these structures have then been studied in the…

Logic in Computer Science · Computer Science 2026-05-19 Lukas Mulder , Damien Pous , Jana Wagemaker

A Hamiltonian embedding is an embedding of a graph $G$ such that the boundary of each face is a Hamiltonian cycle of $G$. It is shown that the hypercube graph $Q_n$ admits such an embedding on an orientable surface when $n$ is a power of 2.…

Combinatorics · Mathematics 2020-01-28 Richard Leyland

Vector representations of graphs and relational structures, whether hand-crafted feature vectors or learned representations, enable us to apply standard data analysis and machine learning techniques to the structures. A wide range of…

Machine Learning · Computer Science 2020-03-31 Martin Grohe