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Related papers: A Variant of the Stanley Depth for Multisets

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A family of sets is called $r$-\emph{cover free} if no set in the family is contained in the union of $r$ (or less) other sets in the family. A $1$-cover free family is simply an antichain with respect to set inclusion. Thus, Sperner's…

Combinatorics · Mathematics 2020-11-10 Noga Alon , Shoni Gilboa , Shay Gueron

Sectional pseudocomplementation (sp-complementation) on a poset is a partial operation $*$ which associates with every pair $(x,y)$ of elements, where $x \ge y$, the pseudocomplement $x*y$ of $x$ in the upper section $[y)$. Any total…

Combinatorics · Mathematics 2022-11-02 Jānis Cīrulis

This paper provides a general framework for Stein's density method for multivariate continuous distributions. The approach associates to any probability density function a canonical operator and Stein class, as well as an infinite…

Probability · Mathematics 2023-04-27 Guillaume Mijoule , Martin Raič , Gesine Reinert , Yvik Swan

Data depth is a statistical function that generalizes order and quantiles to the multivariate setting and beyond, with applications spanning over descriptive and visual statistics, anomaly detection, testing, etc. The celebrated halfspace…

Machine Learning · Statistics 2023-12-22 Arturo Castellanos , Pavlo Mozharovskyi , Florence d'Alché-Buc , Hicham Janati

In [7] we obtained a formula for the Hilbert depth of squarefree Veronese ideals in a standard graded polynomial ring by relating it to the Hilbert depth of powers of the irrelevant maximal ideal. In this paper, we prove that these two…

Commutative Algebra · Mathematics 2011-06-21 Maorong Ge , Jiayuan Lin , Yulan Wang

The computation of the Tukey depth, also called halfspace depth, is very demanding, even in low dimensional spaces, because it requires the consideration of all possible one-dimensional projections. In this paper we propose a random depth…

Computation · Statistics 2007-07-03 J. A. Cuesta-Albertos , A. Nieto-Reyes

In this paper, we construct new multifractal measures, on the Euclidean space $\mathbb{R}^n$, in a similar manner to Hewitt-Stomberg measures but using the class of all $n$-dimensional half-open binary cubes of covering sets in the…

Classical Analysis and ODEs · Mathematics 2024-01-09 Najmeddine Attia

We study the set of monomial ideals in a polynomial ring as an ordered set, with the ordering given by reverse inclusion. We give a short proof of the fact that every antichain of monomial ideals is finite. Then we investigate ordinal…

Logic · Mathematics 2007-05-23 Matthias Aschenbrenner , Wai-Yan Pong

We present a new fast approximate algorithm for Tukey (halfspace) depth level sets and its implementation-ABCDepth. Given a $d$-dimensional data set for any $d\geq 1$, the algorithm is based on a representation of level sets as…

Data Structures and Algorithms · Computer Science 2018-12-11 Milica Bogićević , Milan Merkle

Given a finite set of points $S\subset\mathbb{R}^d$, a $k$-set of $S$ is a subset $A \subset S$ of size $k$ which can be strictly separated from $S \setminus A $ by a hyperplane. Similarly, a $k$-facet of a point set $S$ in general position…

Metric Geometry · Mathematics 2022-03-23 Brett Leroux , Luis Rademacher

Given a symmetric monoidal category $C$ with product $\sqcup$, where the neutral element for the product is an initial object, we consider the poset of $\sqcup$-complemented subobjects of a given object $X$. When this poset has finite…

Combinatorics · Mathematics 2025-07-30 Kevin Ivan Piterman , Volkmar Welker

We analyze the asymptotic convergence of all infinite products of matrices taken in a given finite set, by looking only at finite or periodic products. It is known that when the matrices of the set have a common nonincreasing polyhedral…

Discrete Mathematics · Computer Science 2016-10-14 Pierre-Yves Chevalier , Julien M. Hendrickx , Raphaël M. Jungers

Let $K$ be a field and $S=K[x_1,\ldots,x_n]$, the ring of polynomials in $n$ variables, over $K$. Using the fact that the Hilbert depth is an upper bound for the Stanley depth of a quotient of squarefree monomial ideals $0\subset…

Commutative Algebra · Mathematics 2024-02-19 Silviu Balanescu , Mircea Cimpoeas

In the decision tree computation model for Boolean functions, the depth corresponds to query complexity, and size corresponds to storage space. The depth measure is the most well-studied one, and is known to be polynomially related to…

Computational Complexity · Computer Science 2022-09-27 Yogesh Dahiya , Meena Mahajan

We examine the dimensions of various inf-sup stable mixed finite element spaces on tetrahedral meshes in 3D with exact divergence constraints. More precisely, we compare the standard Scott-Vogelius elements of higher polynomial degree and…

Numerical Analysis · Mathematics 2024-04-22 L. Ridgway Scott , Tabea Tscherpel

We prove that every poset with bounded cliquewidth and with sufficiently large dimension contains the standard example of dimension $k$ as a subposet. This applies in particular to posets whose cover graphs have bounded treewidth, as the…

Combinatorics · Mathematics 2025-10-21 Gwenaël Joret , Piotr Micek , Michał Pilipczuk , Bartosz Walczak

The number of embeddings of a partially ordered set $S$ in a partially ordered set $T$ is the number of subposets of $T$ isomorphic to $S$. If both, $S$ and $T$, have only one unique maximal element, we define good embeddings as those in…

We define a notion of depth for an inclusion of multimatrix algebras B < A based on a comparison of powers of the induction-restriction table M (and its transpose matrix). This notion of depth coincides with the depth from [Kadison, 2008].…

Group Theory · Mathematics 2010-02-09 Sebastian Burciu , Lars Kadison , Burkhard Kuelshammer

An order ideal is a finite poset X of (monic) monomials such that, whenever M is in X and N divides M, then N is in X. If all, say t, maximal monomials of X have the same degree, then X is pure (of type t). A pure O-sequence is the vector,…

Combinatorics · Mathematics 2012-02-29 M. Boij , J. Migliore , R. Miro'-Roig , U. Nagel , F. Zanello

This paper proposes improvements over earlier work by Nazareth and Blei (2022) for estimating the depth of Bayesian neural networks. Here, we propose a discrete truncated normal distribution over the network depth to independently learn its…

Machine Learning · Computer Science 2024-10-16 Bart van Erp , Bert de Vries
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