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We study how a single value of the shatter function of a set system restricts its asymptotic growth. Along the way, we refute a conjecture of Bondy and Hajnal which generalizes Sauer's Lemma.

Combinatorics · Mathematics 2017-01-25 Boris Bukh , Xavier Goaoc

We consider a special case of the Patlak-Keller-Segel system in a disc, which arises in the modelling of chemotaxis phenomena. For a critical value of the total mass, the solutions are known to be global in time but with density becoming…

Analysis of PDEs · Mathematics 2008-09-06 Nikos Kavallaris , Philippe Souplet

We say that a set system $\mathcal{F}\subseteq 2^{[n]}$ shatters a given set $S\subseteq [n]$ if $2^S={F \cap S : F \in \mathcal{F}}$. The Sauer inequality states that in general, a set system $\mathcal{F}$ shatters at least $|\mathcal{F}|$…

Combinatorics · Mathematics 2012-11-06 Tamás Mészáros , Lajos Rónyai

We present a double distribution function of dark matter halos, with respect to both object mass and local over- (or under-) density. This analytical tool provides a statistical treatment of the properties of matter surrounding collapsed…

Astrophysics · Physics 2009-11-10 Vasiliki Pavlidou , Brian D. Fields

In this paper, we build a dimension theory related to Shelah's 2-rank, dp-rank, and o-minimal dimension. We call this dimension op-dimension. We exhibit the notion of the n-multi-order property, generalizing the order property, and use this…

Logic · Mathematics 2013-07-26 Vincent Guingona , Cameron Donnay Hill

We show that the shatter function of a semilinear set system on $\mathbb{R}^m$ is asymptotic to a polynomial. This confirms, for the structure $(\mathbb{R}; +, <)$, a conjecture of Chernikov and is a step towards characterizing…

Combinatorics · Mathematics 2025-07-01 Abdul Basit , Chieu-Minh Tran

In higher dimensions, we study Degenerate-Higher-Order-Scalar-Tensor theories and we derive solutions that resemble the Schwarzschild Anti-de Sitter black holes. We compute their thermodynamic quantities following the Wald formalism,…

High Energy Physics - Theory · Physics 2022-10-05 Moisés Bravo-Gaete , Fabiano F. Santos , Henrique Boschi-Filho

We evaluate the shattering dimension of various classes of linear functionals on various symmetric convex sets. The proofs here relay mostly on methods from the local theory of normed spaces and include volume estimates, factorization…

Probability · Mathematics 2007-05-23 Shahar Mendelson , Gideon Schechtman

We consider an important class of derivative contracts written on multiple assets (so-called spread options) which are traded on a wide range of financial markets. The present paper introduces a new approximation method of density functions…

Probability · Mathematics 2013-09-19 Alexander Kushpel

We do extensive simulations of a simple model of shear-driven jamming in two dimensions to analyze the velocity distribution at different densities $\phi$ around the jamming density $\phi_J$ and at different low shear strain rates,…

Soft Condensed Matter · Physics 2023-06-14 Peter Olsson

Variations in distinct restricted spaces of wave functions generate distinct density functionals. In particular, angular momentum projected Slater determinants define a new density functional, compatible simultaneously with angular momentum…

Nuclear Theory · Physics 2007-05-23 B. G. Giraud

Reconstruction of density functions and their characteristic functions by radial basis functions with scattered data points is a popular topic in the theory of pricing of basket options. Such functions are usually entire or admit an…

Mathematical Finance · Quantitative Finance 2014-04-22 A. Kushpel , J. Levesley

The purpose of this paper is to find the characterization of the Sheffer polynomial sets satisfying the d-orthogonality conditions. The generating function form of these polynomial sets is given in Theorem 2.2. As applications of the…

Classical Analysis and ODEs · Mathematics 2016-03-24 Serhan Varma

Flow behavior of a single-component yield stress fluid is addressed on the hydrodynamic level. A basic ingredient of the model is a coupling between fluctuations of density and velocity gradient via a Herschel-Bulkley-type constitutive…

Soft Condensed Matter · Physics 2018-06-07 Markus Gross , Fathollah Varnik

We introduce bendlets, a shearlet-like system that is based on anisotropic scaling, translation, shearing, and bending of a compactly supported generator. With shearing being linear and bending quadratic in spatial coordinates, bendlets…

Functional Analysis · Mathematics 2017-05-16 Christian Lessig , Philipp Petersen , Martin Schäfer

A Schur-class function in $d$ variables is defined to be an analytic contractive-operator valued function on the unit polydisk. Such a function is said to be in the Schur--Agler class if it is contractive when evaluated on any commutative…

Functional Analysis · Mathematics 2013-11-21 Joseph A. Ball , Dmitry Kaliuzhnyi-Verbovetskyi , Cora Sadosky , Victor Vinnikov

It is known that the Grothendieck group of the category of Schur functors is the ring of symmetric functions. This ring has a rich structure, much of which is encapsulated in the fact that it is a "plethory": a monoid in the category of…

Representation Theory · Mathematics 2023-07-04 John C. Baez , Joe Moeller , Todd Trimble

Factorial Schur functions are generalizations of Schur functions that have, in addition to the usual variables, a second family of "shift" parameters. We show that a factorial Schur function times a deformation of the Weyl denominator may…

Combinatorics · Mathematics 2014-05-28 Daniel Bump , Peter J. McNamara , Maki Nakasuji

Continuing our recent work we study polynomial masks of multivariate tight wavelet frames from two additional and complementary points of view: convexity and system theory. We consider such polynomial masks that are derived by means of the…

Functional Analysis · Mathematics 2014-03-11 Maria Charina , Mihai Putinar , Claus Scheiderer , Joachim Stoeckler

Effective non-parametric density estimation is a key challenge in high-dimensional multivariate data analysis. In this paper,we propose a novel approach that builds upon tensor factorization tools. Any multivariate density can be…

Machine Learning · Statistics 2022-10-19 Magda Amiridi , Nikos Kargas , Nicholas D. Sidiropoulos
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