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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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4998147196 · Jun 202019922001200920172026
48 results for cofinal dimension

Paper relates asymptotic dimension to cofinal dimension using coarse proximities.

problem Relating asymptotic dimension to cofinal dimension in metric spaces.
method Introducing coarse proximities and inverse limit constructions.
result Asymptotic dimension is bounded by coarse cofinal dimension and cofinal dimension of Higson corona.

We prove that if MPM \longrightarrow P is a small cover of a compact right-angled hyperbolic polyhedron PP then MM admits a cofinal tower of finite sheeted covers with positive rank gradient. As a corollary, if π1(M)π_1(M) is commensurable with the reflection group of PP, then MM admits a cofinal tower of finite sheet…

2013-01-18abs ↗pdf ↗

Let N be an irreducible, compact 3-manifold with empty or toroidal boundary which is not a closed graph manifold. Using recent work of Agol, Kahn-Markovic and Przytycki-Wise we will show that pi_1(N) admits a cofinal filtration with `fast' growth of Betti numbers as well as a cofinal filtration of pi_1(N) with `slow' g…

2013-01-17abs ↗pdf ↗

Study shows Dehn twist coefficients are consistent across different actions on surfaces.

problem Consistency of fractional Dehn twist coefficients under various actions.
method Analyzes left orderings of mapping class groups and uses cofinality properties.
result Fractional Dehn twist coefficients are independent of the underlying action for surfaces with genus > 1.

Uniform covers with a finite-dimensional nerve are rare (i.e., do not form a cofinal family) in many separable metric spaces of interest. To get hold on uniform homotopy properties of these spaces, a reasonably behaved notion of an infinite-dimensional metric polyhedron is needed; a specific list of desired properties …

2011-09-02abs ↗pdf ↗

Spaces containing compact subsets with polyhedral complements are studied.

problem Characterizing and understanding spaces with specific topological properties.
method Introduced coronated polyhedra and used them to derive new cohomology and homotopy sequences.
result Spaces with the specified property have well-defined cohomology and homotopy sequences.

New bounds on homological eigenvalues relate to Weil-Petersson length.

problem Bounding growth of homological eigenvalues for pseudo-Anosov automorphisms.
method Established inequality linking homological Jensen square sum to Weil-Petersson translation length.
result Homological Jensen square sum grows at most linearly with covering degree compared to Weil-Petersson translation length.

Homotopy theory of differentiable sheaves connects manifold properties to underlying homotopy types.

problem Understanding the homotopy type of manifolds using differentiable sheaves.
method Developed model structures and homotopical calculi on the \infty-category Diff\mathbf{Diff}^\infty to compute and compare shapes.
result The shape of any manifold coincides with various other notions of underlying homotopy types.

Defines and classifies Thurston geometries and connects simplicial volume to Kodaira dimension.

problem Classifying Thurston geometries and understanding their properties.
method Introduces an axiomatic definition for the Kodaira dimension and studies its compatibility with traditional notions.
result Establishes a connection between the simplicial volume and the holomorphic Kodaira dimension, showing implications for smooth Kähler 3-folds.

Our goal in this paper is to develop an effective estimator of fractal dimension. We survey existing ideas in dimension estimation, with a focus on the currently popular method of Grassberger and Procaccia for the estimation of correlation dimension. There are two major difficulties in estimation based on this method. …

2013-12-09abs ↗pdf ↗

We introduce a new quasi-isometry invariant of metric spaces called the hyperbolic dimension, hypdim, which is a version of the Gromov's asymptotic dimension, asdim. The hyperbolic dimension is at most the asymptotic dimension, however, unlike the asymptotic dimension, the hyperbolic dimension of any Euclidean space R^…

2004-04-29abs ↗pdf ↗

In the first part of the paper we show how to relate several dimension theories (asymptotic dimension with Higson property, asymptotic dimension of Gromov, and capacity dimension of Buyalo \cite{Buyalo1}) to Nagata-Assouad dimension. This is done by applying two functors on the Lipschitz category of metric spaces: micr…

2006-01-10abs ↗pdf ↗

This paper studies three aspects around dimension datum: (1), a generalization of the dimension datum, which we call the tau-dimension datum; (2), dimension data of disconnected subgroups; (3), compactness of isospectral sets of normal homogeneous spaces.

2018-03-16abs ↗pdf ↗

Random walks on Fuchsian Schottky groups have harmonic measures with lower dimension.

problem Understanding the dimensionality of harmonic measures for random walks.
method Analyzing finite range random walks on Fuchsian Schottky groups.
result Harmonic measures have dimension strictly less than the limit set's Hausdorff dimension.

Given a metric space XX of finite asymptotic dimension, we consider a quasi-isometric invariant of the space called dimension function. The space is said to have asymptotic Assouad-Nagata dimension less or equal nn if there is a linear dimension function in this dimension. We prove that if XX is a tree-graded space …

2009-10-13abs ↗pdf ↗

The study finds limits on dimensions of certain scales and fields for conformal manifolds.

problem Limits on dimensions of almost Einstein scales and normal conformal Killing fields for conformal manifolds.
method Analyzes the submaximal dimensions of spaces of almost Einstein scales and normal conformal Killing fields for connected conformal manifolds, considering different signatures and dimensions.
result Upper bounds on dimensions of almost Einstein scales and normal conformal Killing fields are determined, with examples provided for submaximal dimensions.

Model complexity is an important factor to consider when selecting among graphical models. When all variables are observed, the complexity of a model can be measured by its standard dimension, i.e. the number of independent parameters. When hidden variables are present, however, standard dimension might no longer be ap…

2012-12-12abs ↗pdf ↗

Many 0/1 datasets have a very large number of variables; on the other hand, they are sparse and the dependency structure of the variables is simpler than the number of variables would suggest. Defining the effective dimensionality of such a dataset is a nontrivial problem. We consider the problem of defining a robust m…

2019-02-04abs ↗pdf ↗

We prove that for geometrically finite groups cohomological dimension of the direct product of a group with itself equals 2 times the cohomological dimension dimension of the group.

2019-02-08abs ↗pdf ↗

Estimates dimension of subsets from random samples, proving consistency.

problem Estimating the dimension of a compact subset from random samples.
method Consistency proofs for Minkowski, correlation, and pointwise dimensions using empirical volume function.
result Statistical consistency of estimators for various dimension notions.

The action dimension of a group G is the minimal dimension of a contractible manifold that G acts on properly discontinuously. We show that if G acts properly and cocompactly on a thick Euclidean building, then the action dimension is bounded below by twice the dimension of the building. We also compute the action dime…

2017-03-02abs ↗pdf ↗

We discuss a variation of Gromov's notion of asymptotic dimension that was introduced and named Nagata dimension by Assouad. The Nagata dimension turns out to be a quasisymmetry invariant of metric spaces. The class of metric spaces with finite Nagata dimension includes in particular all doubling spaces, metric trees, …

2004-10-04abs ↗pdf ↗

We study piecewise linear co-dimension two embeddings of closed oriented manifolds in Euclidean space, and show that any such embedding can always be isotoped to be a closed braid as long as the ambient dimension is at most five, extending results of Alexander (in ambient dimension three), and Viro and independently Ka…

2017-03-24abs ↗pdf ↗

Proves a theorem for Assouad dimension with applications to distance sets and radial projections.

problem Problems related to Assouad dimension and distance sets.
method General nonlinear projection theorem for Assouad dimension.
result Sharp estimates for sets with Assouad dimension less than 1 and exceptional set estimates.

We prove the dimension of any asymptotic cone over a metric space X does not exceed the asymptotic Assouad-Nagata dimension of X. This improves a result of Dranishnikov and Smith who showed that dim(Y) does not exceed asymptotic Assouad-Nagata dimension of X for all separable subsets Y of special asymptotic cones of X …

2006-10-10abs ↗pdf ↗

Computes dimensions of representation and character varieties for 2 and 3-dimensional orbifolds.

problem Computing dimensions of representation and character varieties for orbifolds.
method Analyzes varieties of representations and characters of hyperbolic and non-hyperbolic orbifolds, provides tools for computation.
result Shows that the dimension of a specific component of characters equals half the dimension of the variety of characters of the boundary.

Let K be a 2-dimensional finite flag complex. We study the CAT(0) dimension of the `Bestvina-Brady group', or `Artin kernel', Gamma_K. We show that Gamma_K has CAT(0) dimension 3 unless K admits a piecewise Euclidean metric of non-positive curvature. We give an example to show that this implication cannot be reversed. …

2002-11-07abs ↗pdf ↗

This survey reviews dimension estimation methods for datasets.

problem Understanding the intrinsic dimension of high-dimensional datasets.
method Categorizes dimension estimation methods by geometric information: tangential, parametric, and topological.
result Many dimension estimation methods may overfit and not generalize well.

We prove that a transfinite extension of asymptotic dimension asind is trivial. We introduce a transfinite extension of asymptotic dimension asdim and give an example of metric proper space which has transfinite infinite dimension.

2006-01-11abs ↗pdf ↗

New insights on eluder dimension for function approximation in machine learning.

problem Complexity measure for online bandits and reinforcement learning with function approximation.
method Study the relationship between eluder dimension and generalized rank for different activation functions.
result Eluder dimension can be exponentially smaller or larger than generalized rank depending on the activation function.