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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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99199298397 · Jun 202019922001200920172026
48 results for dimensional gap

The paper proves gap theorems for Yang-Mills on manifolds with positive Yamabe.

problem Yang-Mills theory on manifolds with positive Yamabe constant.
method Extending Gursky-Kelleher-Streets results to complete manifolds.
result Equality in gap theorem described in terms of basic instanton.

Noise Sensitivity Exponent controls statistical-computational gaps in learning.

problem Understanding when learning is statistically possible yet computationally hard in high-dimensional statistics.
method Investigating statistical-computational gaps in single- and multi-index models using Noise Sensitivity Exponent.
result Noise Sensitivity Exponent governs statistical-computational gaps in high-dimensional learning.

The paper characterizes gaps in minimal foliations on tori using energy criteria.

problem Characterizing gaps in minimal foliations on tori.
method Introduced an energy to study min-max theory and applied it to Almgren-Pitts min-max theory.
result For a generic metric, if a lamination contains a gap, there exists a non-area-minimizing minimal hypersurface inside the gap.

Improved spectral gap for MwG with adaptive RWM proposals.

problem Improving mixing efficiency of MwG for log-concave distributions.
method Using adaptive RWM proposals tuned to match conditional variances of log-concave target distributions.
result Established a spectral gap lower bound of order O(1/κd)\mathcal{O}(1/κd) for MwG.

We consider a rigidity problem for the spectral gap of the Laplacian on an RCD(K,)RCD(K,\infty)-space (a metric measure space satisfying the Riemannian curvature-dimension condition) for positive KK. For a weighted Riemannian manifold, Cheng--Zhou showed that the sharp spectral gap is achieved only when a 11-dimensional G…

2017-09-12abs ↗pdf ↗

The paper connects Schrödinger equations to geodesics on a 2-surface.

problem Understanding the relationship between Schrödinger equations and geodesics.
method Analyzes the geodesic equation of a specific metric on a 2-surface.
result Explicit solutions for the metric and geodesics in terms of the Baker--Akhiezer function for finite-gap potentials.

Proves a fundamental gap lower bound for horoconvex domains in hyperbolic space.

problem Proving a fundamental gap lower bound for horoconvex domains in hyperbolic space.
method Reduces the problem to a radial-height problem, compares Dirichlet forms with angular operators, and uses Green estimates.
result Establishes a polynomial \(D^{-3}\) scale fundamental gap lower bound.

We prove that the set of closed finite gap curves in hyperbolic 3-space H3\mathbb{H}^3 is W2,2W^{2,2}-dense in the Sobolev space of all closed W2,2W^{2,2}-curves in H3\mathbb{H}^3. We also show that the set of closed finite gap curves in any 2-dimensional space form E2\mathbb{E}^2 is W2,2W^{2,2}-dense in the Sobolev space of…

2019-01-10abs ↗pdf ↗

New method explains computational barriers in high-dimensional statistical models.

problem Understanding detection-recovery gaps in high-dimensional inference.
method Combining algorithmic contiguity and cross-validation reduction to obtain conditional computational lower bounds.
result Mild control of low-degree advantage is sufficient to explain computational barriers for recovery.

We survey the use of dynamics of SL(2,R)SL(2, \R)-actions to understand gap distributions for various sequences of subsets of [0,1)[0, 1), particularly those arising from special trajectories of various two-dimensional dynamical systems. We state and prove an abstract theorem that gives a unified explanation for some of the ex…

2012-10-02abs ↗pdf ↗

In this paper, we will prove a gap theorem for four-dimensional gradient shrinking soliton. More precisely, we will show that any complete four-dimensional gradient shrinking soliton with nonnegative and bounded Ricci curvature, satisfying a pinched Weyl curvature, either is flat, or λ1+λ2c0R>0λ_1 + λ_2\ge c_0 R>0 everywhere f…

2016-06-03abs ↗pdf ↗

Method constrains spectral gaps of hyperbolic spin surfaces using identities and semidefinite programming.

problem Bounding Laplacian and Dirac spectra of hyperbolic spin manifolds and orbifolds.
method Infinite family of spectral identities, semidefinite programming, and Selberg trace formula.
result Upper bounds on spectral gaps nearly saturated by specific orbifolds.

Study proves rigidity and gap theorems for specific metrics.

problem Existence and properties of self-dual and even Poincaré-Einstein metrics in 4D.
method Rigorous mathematical proofs, including gap theorems and rigidity results.
result Obtained new scalar conformal invariants and identified obstructions to metric existence.

Estimates scalar curvature without nonnegativity, showing gap phenomenon on manifolds.

problem Estimating scalar curvature without curvature nonnegativity assumption.
method Derive estimates for scalar curvature and mean curvature on manifolds and domains.
result Show that metrics on even dimensional manifolds with nonzero Euler characteristic are ε-gap distance extremal.

Improves time series classification with forest proximities.

problem Time series classification accuracy and efficiency.
method PF-GAP, an extension of RF-GAP proximities to proximity forests, combined with Multi-Dimensional Scaling and Local Outlier Factors.
result Forest proximities show stronger connection between misclassified points and outliers.

Sharp spectral gap estimates for higher-order operators on hyperbolic spaces.

problem Estimating spectral gaps for higher-order operators on Cartan-Hadamard manifolds.
method Symmetrization-free proofs based on general functional inequalities.
result Solves a sharp asymptotic problem from Cheng and Yang and answers a question from Kristály.

We study the spectrum of the Finsler--Laplace operator for regular Hilbert geometries, defined by convex sets with C2C^2 boundaries. We show that for an nn-dimensional geometry, the spectral gap is bounded above by (n1)2/4(n-1)^2/4, which we prove to be the infimum of the essential spectrum. We also construct examples of c…

2012-11-27abs ↗pdf ↗

We show that the set of k-dimensional isoperimetric exponents of finitely presented groups is dense in the interval [1, \infty) for k > 1. Hence there is no higher-dimensional analogue of Gromov's gap (1,2) in the isoperimetric spectrum.

2008-12-04abs ↗pdf ↗

A new neural network model predicts inflation and output gap more accurately.

problem Traditional Phillips curves struggle with unobserved inflation expectations and output gaps.
method Hemisphere Neural Network (HNN) that estimates latent states for inflation and output gap.
result HNN accurately forecasts inflation and identifies a large positive output gap starting from late 2020.

Estimates gaps between eigenvalues for elliptic operators on manifolds.

problem Estimating the gaps between consecutive eigenvalues for elliptic differential operators.
method Analyzes a class of second-order elliptic differential operators in divergence form with Dirichlet boundary conditions.
result Estimates for the upper bound of gaps between eigenvalues, with results matching known best estimates for specific cases.

This paper studies eigenvalues of the clamped plate problem on a bounded domain in an nn-dimensional Euclidean space. We give an estimate for the gap between Γk+1Γ1\sqrt {Γ_{k+1}-Γ_{1}} and ΓkΓ1\sqrt {Γ_{k}-Γ_{1}}, for any positive integer kk. According to the asymptotic formula of Agmon and Pleijel, we know, the gap betwe…

2016-10-19abs ↗pdf ↗

This paper tackles constrained statistical learning problems by proposing a new approach.

problem Statistical learning problems with constraints are challenging and scarce.
method Directly tackling the constrained problem using finite dimensional parameterizations, sample averages, and duality theory.
result We bound the empirical duality gap, showing the effectiveness of the constrained formulation.

Global stability proved for Navier-Stokes equations on hyperbolic space.

problem Stability of the Navier-Stokes equations on hyperbolic space.
method Proved global stability with exponential decay rate for small initial data.
result Exponential decay rate of $μλ_\Def^{(3)}$ for Navier-Stokes equations on hyperbolic space.

Study shows computational and statistical gaps in Gaussian Single-Index Models.

problem Statistical and computational trade-offs in high-dimensional regression problems.
method Analysis of SQ and LDP frameworks, partial-trace algorithm.
result Computational algorithms require significantly more samples than information-theoretic limits.

Characterizes optimal reconstruction error in high-dimensional Gaussian mixtures.

problem Optimizing reconstruction error in high-dimensional sparse Gaussian mixtures.
method Exact asymptotic characterization using state evolution of AMP algorithm.
result Identification of statistical-to-computational gap between AMP and information-theoretic threshold.

Sharp curvature estimates for expanding Ricci solitons in various dimensions.

problem Estimating curvature bounds for expanding Ricci solitons.
method Sharp lower and upper bounds derived for scalar curvature under specific conditions.
result Sharp curvature estimates provided for expanding Ricci solitons in dimensions three and four.

Special class of surfaces in five-dimensional sphere in C3C^3 is considered. Immersion equations for minimal tori of that class are shown to be reducible to the equation uzzˉ=eue2uu_{z\bar z}=e^u-e^{-2u} which is integrable by means of inverse scattering method. Finite-gap minimal tori are constructed.

2002-04-20abs ↗pdf ↗

Paper solves globally optimal k-means for low dimensional data.

problem Finding globally optimal k-means solutions for low dimensional data.
method Formulates as a concave assignment problem, iteratively solving small concave and large linear programming problems.
result Solves k-means to global optimality for large data sets with several clusters.

We study the spectral gap of the Erdős--Rényi random graph through the connectivity threshold. In particular, we show that for any fixed δ>0δ> 0 if p(1/2+δ)lognn,p \ge \frac{(1/2 + δ) \log n}{n}, then the normalized graph Laplacian of an Erdős--Rényi graph has all of its nonzero eigenvalues tightly concentrated around 11. We est…

2012-01-02abs ↗pdf ↗

Our main result is that if a generic convex domain in Rn\R^n collapses to a domain in Rn1\R^{n-1}, then the difference between the first two Dirichlet eigenvalues of the Euclidean Laplacian, known as the fundamental gap, diverges. The boundary of the domain need not be smooth, merely Lipschitz continuous. To motivate th…

2008-10-27abs ↗pdf ↗

GAP learns node representations by attending to different parts of its neighborhood.

problem Context-free learning of node representations in graph representation learning.
method Graph Neighborhood Attentive Pooling (GAP) using attentive pooling networks.
result GAP outperforms 10 state-of-the-art methods on link prediction and clustering tasks.

The study proves unique and isolated properties of Einstein 5-manifolds via gap theorems in 4 dimensions.

problem Understanding the structure and regularity of Einstein 5-manifolds.
method Analysis of tangent cones, gap theorems for 4-dimensional orbifolds, and careful metric analysis.
result Noncollapsed limits of Einstein 5-manifolds have unique and isolated tangent cones.