Study of CB generating sets for infinite-type surfaces.
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We define a generalization of the fixed point set, called the bounded fixed set, for a group acting by isometries on a metric space. An analogue of the P. A. Smith theorem is proved for metric spaces of finite asymptotic dimension, which relates the coarse homology of the bounded fixed set to the coarse homology of the…
Classifies homeomorphism groups of countable Stone spaces up to coarse equivalence.
The study introduces Cayley--Abels--Rosendal graphs for Polish groups.
The main results of the paper are: \begin{Prop}\label{GenSvarc-Milnor} A group acting coarsely on a coarse space $(X,\CC)$ induces a coarse equivalence from to for any . \end{Prop} Theorem: \label{GenGromovThm} Two coarse structures $\CC_1$ and $\CC_2$ on the same set are equ…
We define a notion of free product for coarse spaces that generalizes the corresponding notion of a free product for groups. We show that free products preserve coarse properties such as coarse property C, finite coarse decomposition complexity, and coarse property A. We also give an upper bound estimate on the dimensi…
We study the large-scale geometry of mapping class groups of surfaces of infinite type, using the framework of Rosendal for coarse geometry of non locally compact groups. We give a complete classification of those surfaces whose mapping class groups have local coarse boundedness (the analog of local compactness). When …
We consider the problem of active coarse ranking, where the goal is to sort items according to their means into clusters of pre-specified sizes, by adaptively sampling from their reward distributions. This setting is useful in many social science applications involving human raters and the approximate rank of every ite…
Study of pure mapping class groups on infinite graphs.
Paper relates asymptotic dimension to cofinal dimension using coarse proximities.
Free groups' automorphisms have bounded orbits.
Study on hyperbolic groups, focusing on separability and splittings.
Study of mapping class groups on infinite graphs, focusing on their large-scale geometry.
We introduce a notion of fibred coarse embedding into Hilbert space for metric spaces, which is a generalization of Gromov's notion of coarse embedding into Hilbert space. It turns out that a large class of expander graphs admit such an embedding. We show that the maximal coarse Baum-Connes conjecture holds for metric …
Introduces bounded scale measure and generalizes property A.
In this article, we introduce the notion of a functor on coarse spaces being coarsely excisive- a coarse analogue of the notion of a functor on topological spaces being excisive. Further, taking cones, a coarsely excisive functor yields a topologically excisive functor, and for coarse topological spaces there is an ass…
We introduce a new variant of the coarse Baum-Connes conjecture designed to tackle coarsely disconnected metric spaces called the boundary coarse Baum-Connes conjecture. We prove this conjecture for many coarsely disconnected spaces that are known to be counterexamples to the coarse Baum-Connes conjecture. In particula…
New coarse LS-category introduced for groups and spaces.
Big mapping class groups of infinite type surfaces have infinite asymptotic dimension.
The paper studies properties of group relations induced by compatible coarse structures.
Study recovers community structure from coarse graph measurements.
The paper characterizes arithmetic metrics in coarsely geometric settings.
Estimates for graph embeddings into symmetric spaces derived from coarse geometry.
Study semi-coarse spaces' homotopy and homology, extending coarse geometry.
Efficient algorithms learn from coarse labels instead of fine grained ones.
It is well-known that a paracompact space is of covering dimension at most if and only if any map from to a simplicial complex can be pushed into its -skeleton . We use the same idea to characterize asymptotic dimension in the coarse category of arbitrary coarse spaces. Cont…
The study explores ends in coarse homotopy of proper geodesic spaces.
The study confirms Gromov's speculation and provides bounds for taming symplectic structures.
Coarse homotopy theory connects Euclidean cones to shape theory of compact spaces.
GDML learns effective CG models from all-atom data.
Following Roe and others (see, e.g., [MR1451755]), we (re)develop coarse geometry from the foundations, taking a categorical point of view. In this paper, we concentrate on the discrete case in which topology plays no role. Our theory is particularly suited to the development of the_Roe (C*-)algebras_ C*(X) and their K…
We consider several natural sets of curves associated to a given Teichmüller disc, such as the systole set or cylinder set, and study their coarse geometry inside the curve graph. We prove that these sets are quasiconvex and agree up to uniformly bounded Hausdorff distance. Furthermore, we describe two operations on cu…
In this paper, we consider spaces whose Higson coronae are indecomposable continua. We show that for a non-compact proper metric space which is coarsely geodesic and has coarse bounded geometry, the Higson corona of is an indecomposable continuum if and only if is coarsely equivalent to the space of natural…
We prove that the space of persistence diagrams on points (with the bottleneck or a Wasserstein distance) coarsely embeds into Hilbert space by showing it is of asymptotic dimension . Such an embedding enables utilisation of Hilbert space techniques on the space of persistence diagrams. We also prove that when …
Study on estimating Gaussian mean from coarse data, resolving identifiability and computational efficiency questions.
Between the category of exact metric spaces with bounded geometry (about which much is known) and the larger category of arbitrary exact metric spaces (about which little is known) lies the intermediate category of asymptotically exact metric spaces. We show that the coarse Baum-Connes assembly map is naturally split s…
We prove that each coarsely homogenous separable metric space is coarsely equivalent to one of the spaces: the sigleton, the Cantor macro-cube or the Baire macro-space. This classification is derived from coarse characterizations of the Cantor macro-cube and of the Baire macro-space given in this paper. Namely, we …
Topological normal generation proved for mapping class groups of certain surfaces.
We introduce the notion of asymptotic cohomology based on the bounded cohomology and define cohomological asymptotic dimension $\as_{\Z} X$ of metric spaces. We show that it agrees with the asymptotic dimension $\as X$ when the later is finite. Then we use this fact to construct an example of a metric space of boun…
The paper explores non-amenability in infinite-type surfaces and graphs.
For a discrete metric space (or more generally a large scale space) and an action of a group on by coarse equivalences, we define a type of coarse quotient space , which agrees up to coarse equivalence with the orbit space when is finite. We then restrict our attention to what we call coarsel…
Machine learning generates coarse-grained force fields for molecular dynamics.
The paper develops glueing theory for topological spaces and applies it to compactifications.
We study discrete group actions on coarse Poincare duality spaces, e.g. acyclic simplicial complexes which admit free cocompact group actions by Poincare duality groups. When G is an (n-1) dimensional duality group and X is a coarse Poincare duality space of formal dimension n, then a free simplicial action of G on X d…
We prove that two homogeneous ultra-metric spaces are coarsely equivalent if and only if where is the so-called sharp entropy of . This classification implies that each homogeneous proper ultra-metric space is coarsely equivalent to the a…
We introduce a novel definition of curvature for hypergraphs, a natural generalization of graphs, by introducing a multi-marginal optimal transport problem for a naturally defined random walk on the hypergraph. This curvature, termed \emph{coarse scalar curvature}, generalizes a recent definition of Ricci curvature for…
New method optimizes complex models with minimal data, proving global optimality.
We propose a probabilistic model for refining coarse-grained spatial data by utilizing auxiliary spatial data sets. Existing methods require that the spatial granularities of the auxiliary data sets are the same as the desired granularity of target data. The proposed model can effectively make use of auxiliary data set…