Results 51 to 60 of about 4,893,677 (289)

On the asymptotic dimension of products of coarse spaces

open access: yesTopology and its Applications, 2020
We prove that for any coarse spaces $X_1,\dots,X_n$ of asymptotic dimension $\ge 1$ the product $X=X_1\times\dots\times X_n$ has asymptotic dimension $\ge n$. This answers a question of Protasov.
I. Banakh, T. Banakh
semanticscholar   +1 more source

The asymptotic dimension of box spaces of virtually nilpotent groups [PDF]

open access: yesDiscrete Mathematics, 2017
We show that every box space of a virtually nilpotent group has asymptotic dimension equal to the Hirsch length of that group.
Thiebout Delabie, Matthew C. H. Tointon
semanticscholar   +1 more source

On asymptotic density inn-dimensions [PDF]

open access: yesPacific Journal of Mathematics, 1969
The notion of asymptotic density for sets of non-negative integers is generalized to sets of \(n\)-dimensional ``non-negative'' lattice points. Let \(S\) be the set of all \(n\)-tuples of non-negative integers. For \(A\subseteq S\), the Schnirelmann density, \(d(A)\), of \(A\), has been defined to be \(glb_F(A(F)/S(F))\) where \(X(Y)\) is the number of
openaire   +2 more sources

The exterior Dirichlet problems of Monge–Ampère equations in dimension two

open access: yesBoundary Value Problems, 2020
In this paper, we study the Monge–Ampère equations det D 2 u = f $\det D^{2}u=f$ in dimension two with f being a perturbation of f 0 $f_{0}$ at infinity.
Limei Dai
doaj   +1 more source

A High-Dimensional Counterpart for the Ridge Estimator in Multicollinear Situations

open access: yesMathematics, 2021
The ridge regression estimator is a commonly used procedure to deal with multicollinear data. This paper proposes an estimation procedure for high-dimensional multicollinear data that can be alternatively used.
Mohammad Arashi   +3 more
doaj   +1 more source

Impact of sufficient dimension reduction in nonparametric estimation of causal effect

open access: yesStatistical Theory and Related Fields, 2018
We consider the estimation of causal treatment effect using nonparametric regression or inverse propensity weighting together with sufficient dimension reduction for searching low-dimensional covariate subsets.
Ying Zhang   +3 more
doaj   +1 more source

On asymptotic dimension of countable Abelian groups

open access: yesTopology and its Applications, 2006
9 pages, 1 figure ...
University of Florida, Department of Mathematics, PO Box 118105 Little Hall, Gainesville, FL 32611-8105, USA ( host institution )   +1 more
openaire   +3 more sources

Randomness extraction and asymptotic Hamming distance [PDF]

open access: yesLogical Methods in Computer Science, 2013
We obtain a non-implication result in the Medvedev degrees by studying sequences that are close to Martin-L\"of random in asymptotic Hamming distance. Our result is that the class of stochastically bi-immune sets is not Medvedev reducible to the class of
Cameron E. Freer, Bjoern Kjos-Hanssen
doaj   +1 more source

Burghelea conjecture and asymptotic dimension of groups [PDF]

open access: yesJournal of Topology and Analysis (JTA), 2016
We review the Burghelea conjecture, which constitutes a full computation of the periodic cyclic homology of complex group rings, and its relation to the algebraic Baum–Connes conjecture. The Burghelea conjecture implies the Bass conjecture.
A. Engel, Michał Marcinkowski
semanticscholar   +1 more source

On a formula for the asymptotic dimension of free products [PDF]

open access: yesFundamenta Mathematicae, 2004
The notion of asymptotic dimension (asdim) of a finitely generated group was developed by \textit{G. Bell} and \textit{A. Dranishnikov} [in Algebr. Geom. Topol. 1, 57-71 (2001; Zbl 1008.20039)] and bounds for amalgamated products and HNN extensions are derived by \textit{G. Bell} and \textit{A. Dranishnikov} [in Geom.
Bell, G. C.   +2 more
openaire   +1 more source

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