Research
On-device research index

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.

169,051 papers · 148 categories

Trend · papers per month

25.0%50.0%75.0%100.0% · Feb 199419922001200920182026
48 results for doubling dimension

The study explores cohomological invariants and decomposes them into irreducible parts, focusing on zigzags.

problem Finding cohomological invariants and their decomposition into irreducible parts.
method Investigates various cohomological invariants on double complexes, focusing on the multiplicities of zigzags.
result The multiplicities of zigzags in double complexes are not sufficient to distinguish non-isomorphic double complexes.

Even-dimensional simply connected manifolds that are rational homology spheres and double disk bundles are homeomorphic to spheres.

problem Characterizing manifolds that are both rational homology spheres and double disk bundles.
method Analyzing the structure of manifolds as unions of disk bundles and using properties of rational homology and cohomology.
result Even-dimensional simply connected manifolds that are rational homology spheres and double disk bundles are homeomorphic to spheres.

In all dimensions and arbitrary signature, we demonstrate the existence of a new local potential -- a double (2,3)-form -- for the Weyl curvature tensor, and more generally for all tensors with the symmetry properties of the Weyl curvature tensor. The classical four-dimensional Lanczos potential for a Weyl tensor -- a …

2004-08-20abs ↗pdf ↗

Defines a geometric dimension for Lorentzian spaces, distinguishing spacelike and null subspaces.

problem No specific problem stated; focuses on defining a new geometric dimension.
method Introduces a one-parameter family of volume measures and a doubling condition for causal diamonds.
result Defines a geometric dimension for synthetic spacetimes, distinguishing between spacelike and null subspaces.

The classic double bubble theorem says that the least-perimeter way to enclose and separate two prescribed volumes in RN\mathbb{R}^N is the standard double bubble. We seek the optimal double bubble in RN\mathbb{R}^N with density, which we assume to be strictly log-convex. For N=1N=1 we show that the solution is sometime…

2017-08-10abs ↗pdf ↗

The study finds infinitely many counterexamples to a generalized Double Soul Conjecture.

problem The Double Soul Conjecture for non-simply connected manifolds.
method Analysis of double disk bundles and counterexamples.
result Infinitely many counterexamples to the generalized Double Soul Conjecture.

Graphs with nonnegative Bakry-Émery curvature have volume doubling and Poincaré inequalities.

problem Proving properties of graphs with specific curvature conditions.
method Graph-theoretic modified nonlinear heat-flow method, including point-mass consequences and diffusive exit-time control.
result Volume doubling and Poincaré inequalities for graphs with nonnegative Bakry-Émery curvature.

The paper analyzes high-dimensional kernel regression, showing different risk curves based on data and regularization.

problem Characterizing generalization properties of high-dimensional kernel ridge regression.
method Bias-variance decomposition of the expected excess risk, considering different regularization schemes and data eigen-profiles.
result The risk curve of kernel regression can be double-descent-like, bell-shaped, or monotonic, depending on n, d, and regularization level.

We study adaptive data-dependent dimensionality reduction in the context of supervised learning in general metric spaces. Our main statistical contribution is a generalization bound for Lipschitz functions in metric spaces that are doubling, or nearly doubling. On the algorithmic front, we describe an analogue of PCA f…

2013-02-12abs ↗pdf ↗

Monotonic improvement in uncertainty estimation with Gaussian processes as dimension increases.

problem Uncertainty quantification in machine learning models, especially with Gaussian processes, is challenging and poorly understood.
method Analyzing the behavior of marginal likelihood and cross-validation metrics as input dimension increases, and exploring the effects of cold posteriors.
result The marginal likelihood improves monotonically with input dimension, while cross-validation metrics exhibit double descent behavior.

A new method compresses high-dimensional geometric patterns to reduce alignment time.

problem Efficiently aligning high-dimensional geometric patterns.
method Compression of high-dimensional patterns using the concept of 'doubling dimension' to preserve alignment quality.
result Alignment algorithms on compressed patterns achieve similar quality with significantly reduced running times.

Characterizes RFF regression in large n,p,Nn,p,N setting, providing precise learning phases and double descent curve.

problem Characterizes RFF regression in large n,p,Nn,p,N setting.
method Characterizes the exact asymptotics of random Fourier feature (RFF) regression in the realistic setting of large n,p,Nn,p,N.
result Characterizes two qualitatively different phases of learning and the corresponding double descent test error curve.

Study on double descent behavior in two-layer neural networks for binary classification.

problem Understanding the double descent phenomenon in model test error.
method Two-layer neural network with ReLU activation for binary classification. Quantified model size by sample-to-dimension ratio. Empirical risk minimization using Convex Gaussian Min Max Theorem.
result Observed and investigated the double descent behavior of model test error.

New examples of Lie algebras with ad-invariant metrics found.

problem Finding ad-invariant metrics on nonnice nilpotent Lie algebras.
method Introducing single extension method to construct Lie algebras with ad-invariant metrics.
result Explicit examples of nonnice nilpotent Lie algebras with ad-invariant metrics for dimensions > 10 and steps > 2.

We propose a construction of Kähler and non-Kähler Calabi-Yau manifolds by branched double covers of twistor spaces. In this construction we use the twistor spaces of four-manifolds with self-dual conformal structures, with the examples of connected sum of nn P2\mathbb{P}^{2}s. We also construct K3K3-fibered Calabi-Ya…

2014-12-26abs ↗pdf ↗

More data can actually hurt linear regression performance in certain conditions.

problem The test risk of linear regression estimators increases with additional samples in overparameterized settings.
method An analysis of linear regression with isotropic Gaussian covariates using gradient descent.
result The bias decreases with more samples, but variance increases, leading to a surprising increase in test risk.

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 ↗

In this paper we show that topological subgroupoids of Lie groupoids, under special circumstances are Lie subgroupoids. Giving an example, we indicate that having the same topological dimension is a necessary condition for topological subgroupoids to be Lie subgroupoids. Also, we provide some conditions for double subg…

2018-03-14abs ↗pdf ↗

In a recent paper (math.DG/0701278) we constructed a series of new Moishezon twistor spaces which is a kind of variant of the famous LeBrun twistor spaces. In this paper we explicitly give projective models of another series of Moishezon twistor spaces on nCP^2 for arbitrary n>2, which can be regarded as a generalizati…

2007-05-01abs ↗pdf ↗

Study on RF regression with SGD shows double descent phenomenon.

problem Understanding generalization in RF models trained with SGD.
method Precise non-asymptotic error bounds derived for RF regression under constant and polynomial-decay step-size SGD.
result RF regression generalizes well for interpolation learning and exhibits double descent behavior.

The paper explores the structure of double complexes and their applications.

problem Understanding the structure and properties of double complexes.
method Investigates the folklore statement about double complexes and their decomposition into squares and zigzags, and computes the Grothendieck ring of double complexes.
result Obtained a Poincaré duality for higher pages of the Frölicher spectral sequence and constructed a functorial three-space decomposition of the middle cohomology.

We construct branched double coverings by certain direct products of manifolds for connected sums of copies of sphere bundles over the 2-sphere. As an application we answer a question of Kotschick and Loeh up to dimension five. More precisely, we show that: (1) every simply connected, closed four-manifold admits a bran…

2012-10-04abs ↗pdf ↗

Revisits superfields and geometry, offering new formulations and interpretations.

problem Exploring the connection between N=(2,2)N=(2,2) superfields and geometry.
method Combining different superfield formulations, using a doubled target space, and interpreting equations of motion geometrically.
result Shows that the doubled geometry is Donaldson's deformation of the original Kähler manifold.

A novel double-space tensor-product RKHS framework for hybrid uncertainty sensitivity analysis.

problem Quantifying the influence of hybrid aleatory and epistemic uncertainties on high-dimensional system responses.
method A novel double-space tensor-product RKHS framework for sensitivity analysis under hybrid uncertainty.
result Concurrent double Möbius inversion orthogonally decomposes global dependence measure into pure aleatory effects, pure epistemic effects, and their interaction contributions.

Let ρn(V)ρ_n(V) be the number of complete hyperbolic manifolds of dimension n with volume less than VV. Burger, Gelander, Lubotzky, and Moses showed that when n>3 there exist a,b>0 depending on the dimension such that aV log(V) < log(ρ_n(V)) < bV log(V), for V >> 0. In this note, we use their methods to bound the number …

2006-01-23abs ↗pdf ↗

Study homotopy types of 4-manifolds, finding decompositions and conditions for desuspension.

problem Determine homotopy types of double suspensions of 4-manifolds with 2-torsion.
method Use Postnikov square and analyze homology groups to find decompositions and conditions for desuspension.
result Homotopy decompositions of double suspensions as wedge sums of specific complexes.

Sparse coding is a crucial subroutine in algorithms for various signal processing, deep learning, and other machine learning applications. The central goal is to learn an overcomplete dictionary that can sparsely represent a given input dataset. However, a key challenge is that storage, transmission, and processing of …

2017-11-09abs ↗pdf ↗

In this paper, we introduce the notion of asymptotic self-similar sets on general doubling metric spaces by extending the notion of self-similar sets, and determine their Hausdorff dimensions, which gives an extension of Balogh and Rohner 's result. This is carried out by introducing the notions of almost similarity ma…

2017-10-02abs ↗pdf ↗

Perelman's doubling theorem asserts that the metric space obtained by gluing along their boundaries two copies of an Alexandrov space with curvature κ\geq κ is an Alexandrov space with the same dimension and satisfying the same curvature lower bound. We show that this result cannot be extended to metric measure spaces…

2017-11-13abs ↗pdf ↗

The paper proves an infinite double bubble theorem in higher dimensions.

problem Characterizing minimizing partitions of infinite and finite volumes in Rn\mathbb{R}^n.
method Proves a variant of the double bubble theorem for configurations with infinite and finite chambers.
result Locally minimizing (1,2)(1,2)-clusters are unique in Rn\mathbb{R}^n for n7n\leq 7 and n8n\geq 8 under certain conditions.

The geometric Hopf invariant of a stable map F is a stable Z_2-equivariant map h(F) such that the stable Z_2-equivariant homotopy class of h(F) is the primary obstruction to F being homotopic to an unstable map. In this paper we express the geometric Hopf invariant of the Umkehr map F of an immersion f:M^m \to N^n in t…

2010-02-15abs ↗pdf ↗

Given a knot K in S^3, let Σ(K) be the double branched cover of S^3 over K. We show there is a spectral sequence whose E^1 page is (\hat{HFK}(Σ(K), K) \otimes V^{n-1}) \otimes \mathbb Z_2((q)), for V a \mathbb Z_2-vector space of dimension two, and whose E^{\infty} page is isomorphic to (\hat{HFK}(S^3, K) \otimes V^{n-…

2011-07-11abs ↗pdf ↗

Study on determining metrics from minimal surface areas, extending earlier work.

problem Determining a Riemannian manifold with boundary from minimal surface areas.
method Linearized forward operator of minimal surface transform, double fibration transforms, Bolker condition.
result Invertibility of the minimal surface transform on analytic manifolds.