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The richness that characterizes relationships is often absent when they are modeled using computational methods in network science. Typically, relationships are represented simply as links, perhaps with weights. The lack of finer…

Computers and Society · Computer Science 2019-02-13 Sebastian Deri , Jeremie Rappaz , Luca Maria Aiello , Daniele Quercia

Ontologies often require knowledge representation on multiple levels of abstraction, but description logics (DLs) are not well-equipped for supporting this. We propose an extension of DLs in which abstraction levels are first-class citizens…

Artificial Intelligence · Computer Science 2023-10-23 Carsten Lutz , Lukas Schulze

We study the packing dimension of unions of subsets of $k$-planes in $\mathbb{R}^n$ using tools from algorithmic information theory, obtaining an analog of a result of H\'era and a mild generalization of a recent result of Fraser. Along the…

Classical Analysis and ODEs · Mathematics 2025-08-26 Jacob B. Fiedler

In this note, we frst consider boundedness properties of a family of operators generalizing the Hilbert operator in the upper triangle case. In the diagonal case, we give the exact norm of these operators under some restrictions on the…

Classical Analysis and ODEs · Mathematics 2016-01-11 Justice S. Bansah , Benoit F. Sehba

In this paper, we define new fractal dimensions of a metric space in order to calculate the roughness of a set on a large scale. These fractal dimensions are called upper zeta dimension and lower zeta dimension. The upper zeta dimension is…

Number Theory · Mathematics 2019-08-20 Kota Saito

Data analysis and data mining are concerned with unsupervised pattern finding and structure determination in data sets. The data sets themselves are explicitly linked as a form of representation to an observational or otherwise empirical…

Machine Learning · Statistics 2011-01-11 Fionn Murtagh

For a finite partially ordered set we calculate the dimension of the variety of its subspace representations having fixed dimension vector. The dimension is given in terms of the Euler quadratic form associated with a partially ordered set,…

Representation Theory · Mathematics 2019-02-27 Claudia Cavalcante Fonseca , Kostiantyn Iusenko

Two fundamental ways to represent a group are as permutations and as matrices. In this paper, we study linear representations of groups that intertwine with a permutation representation. Recently, D'Alconzo and Di Scala investigated how…

Group Theory · Mathematics 2025-12-19 Alice Devillers , Michael Giudici , Daniel R. Hawtin , Lukas Klawuhn , Luke Morgan

We present syntactic characterisations for the union closed fragments of existential second-order logic and of logics with team semantics. Since union closure is a semantical and undecidable property, the normal form we introduce enables…

Logic in Computer Science · Computer Science 2023-06-22 Matthias Hoelzel , Richard Wilke

We characterize the algorithmic dimensions (i.e., the lower and upper asymptotic densities of information) of infinite binary sequences in terms of the inability of learning functions having an algorithmic constraint to detect patterns in…

Information Theory · Computer Science 2024-07-03 Jack H. Lutz , Andrei N. Migunov

The Vapnik-Chervonenkis dimension provides a notion of complexity for systems of sets. If the VC dimension is small, then knowing this can drastically simplify fundamental computational tasks such as classification, range counting, and…

Computational Geometry · Computer Science 2019-11-18 Anne Driemel , André Nusser , Jeff M. Phillips , Ioannis Psarros

The Carath\'eodory's Extension Theorem is a powerful tool that allows us to generate a measure, over a sigma-algebra, from a pre-measure defined over an algebra of sets. However, although this result reduces our work to define a measure by…

Probability · Mathematics 2024-07-08 Patrick Oliveira

Dimension is a fundamental property of objects and the space in which they are embedded. Yet ideal notions of dimension, as in Euclidean spaces, do not always translate to physical spaces, which can be constrained by boundaries and…

Physics and Society · Physics 2022-07-06 Robert L. Peach , Alexis Arnaudon , Mauricio Barahona

We study games in which the set of strategies is multi-dimensional, and new agents might learn various strategic dimensions from different mentors. We introduce a new family of dynamics, the recombinator dynamics, which is characterised by…

Theoretical Economics · Economics 2023-11-14 Srinivas Arigapudi , Omer Edhan , Yuval Heller , Ziv Hellman

We define a semantics for first-order logic with generalized quantifiers based on double teams. We also define and investigate a notion of a generalized atom. Such atoms can be used in order to define extensions of first-order logic with a…

Logic · Mathematics 2017-09-01 Antti Kuusisto

The representation dimension was defined by M. Auslander in 1970 and is, due to spectacular recent progress, one of the most interesting homological invariants in representation theory. The precise value is not known in general, and is very…

Representation Theory · Mathematics 2007-05-23 Thorsten Holm , Wei Hu

A fundamental problem in the dimension theory of self-affine sets is the construction of high-dimensional measures which yield sharp lower bounds for the Hausdorff dimension of the set. A natural strategy for the construction of such…

Dynamical Systems · Mathematics 2018-05-22 Antti Käenmäki , Ian D. Morris

For an abelian category $\mathcal{A}$, we establish the relation between its derived and extension dimensions. Then for an artin algebra $\Lambda$, we give the upper bounds of the extension dimension of $\Lambda$ in terms of the radical…

Representation Theory · Mathematics 2022-05-24 Junling Zheng , Zhaoyong Huang

Let $K \subset {\mathbb R}^n$ be a compact definable set in an o-minimal structure over $\mathbb R$, e.g., a semi-algebraic or a subanalytic set. A definable family $\{ S_\delta|\> 0< \delta \in {\mathbb R} \}$ of compact subsets of $K$, is…

Algebraic Geometry · Mathematics 2017-05-17 Saugata Basu , Andrei Gabrielov , Nicolai Vorobjov

The metric dimension of a graph $G$ is the size of a smallest subset $L \subseteq V(G)$ such that for any $x,y \in V(G)$ with $x\not= y$ there is a $z \in L$ such that the graph distance between $x$ and $z$ differs from the graph distance…

Computational Complexity · Computer Science 2016-07-13 Josep Diaz , Olli Pottonen , Maria Serna , Erik Jan van Leeuwen