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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.

169,042 papers · 148 categories

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101202303404 · Jun 202019922001200920172026
48 results for Uniform Convergence Theorem

Proves convergence of gradient Ricci shrinkers with uniform bounds.

problem Compactness and energy concentration in gradient Ricci shrinkers.
method Bubble-tree convergence and local energy analysis.
result No energy concentrates in neck regions, leading to a local diffeomorphism finiteness theorem.

New findings on PAC learning and marginal distribution estimation.

problem Understanding how PAC learning relates to marginal distribution estimation under distributional constraints.
method Revisited the connection between PAC learning, uniform convergence, and density estimation, considering a known family of marginal distributions.
result PAC learning is sandwiched between two refined models of density estimation, differing only in whether the learner knows the set of well-estimated events in H.

In this work we prove convergence results of sequences of Riemannian 44-manifolds with almost vanishing L2L^2-norm of a curvature tensor and a non-collapsing bound on the volume of small balls. In Theorem 1.1, we consider a sequence of closed Riemannian 44-manifolds, whose L2L^2-norm of the Riemannian curvature tenso…

2017-10-25abs ↗pdf ↗

The abstract discusses convergence properties of Lipschitz functions and sets defined by equations.

problem Convergence of Lipschitz functions and sets defined by equations.
method Painlevé-Kuratowski convergence applied to Lipschitz functions and sets defined by equations.
result Generalizations and reverses of classical theorems on convergence of functions and sets.

We present the Tetrahedral Compactness Theorem which states that sequences of Riemannian manifolds with a uniform upper bound on volume and diameter that satisfy a uniform tetrahedral property have a subsequence which converges in the Gromov-Hausdorff sense to a countably Hm\mathcal{H}^m rectifiable metric space of the…

2012-10-17abs ↗pdf ↗

We consider a parabolic-like systems of differential equations involving geometrical quantities to examine uniformization theorems for two- and three-dimensional closed orientable manifolds. We find that in the two-dimensional case there is a simple gauge theoretic flow for a connection built from a Riemannian structur…

1997-03-05abs ↗pdf ↗

The paper develops algorithms for finding metrics with prescribed combinatorial curvature on polyhedral surfaces.

problem Finding metrics with prescribed combinatorial curvature on polyhedral surfaces.
method Discrete uniformization theorem, combinatorial α-Yamabe flow, combinatorial α-Calabi flow, edge flipping surgery.
result Longtime existence and convergence of combinatorial α-Yamabe flow and combinatorial α-Calabi flow with surgery.

Herein we present open problems and survey examples and theorems concerning sequences of Riemannian manifolds with uniform lower bounds on scalar curvature and their limit spaces. Examples of Gromov and of Ilmanen which naturally ought to have certain limit spaces do not converge with respect to smooth or Gromov-Hausdo…

2016-06-29abs ↗pdf ↗

The paper proves compactness and structure of surfaces with small curvature.

problem Compactness and local structure of surfaces with small total curvature.
method Introduced a new quantity called isothermal radius to establish compactness in intrinsic and extrinsic topologies.
result Established a compactness theorem for surfaces in intrinsic LpL^p-topology and extrinsic W2,2W^{2,2}-weak topology.

The paper establishes a discrete uniformization theorem for surfaces with piecewise hyperbolic metrics.

problem Finding decorated piecewise hyperbolic metrics with prescribed combinatorial curvature.
method Introduced combinatorial α-Ricci flow with surgery to handle potential singularities and prove longtime existence and convergence.
result Existence of decorated piecewise hyperbolic metrics with prescribed combinatorial α-curvature.

Study shows gap between uniform convergence and test error in random feature models.

problem Understanding the gap between uniform convergence and test error in random feature models.
method Analytical expressions for uniform convergence over norm balls, interpolators, and minimum norm interpolator risk derived and proved.
result Uniform convergence over interpolators still gives a non-trivial bound of test error even when classical uniform convergence is vacuous.

Compactness theorems for G2G_2-solitons established with scalar curvature and potential function constraints.

problem Establishing compactness theorems for G2G_2-solitons under specific conditions.
method Proved Gromov-Hausdorff convergence and derived epsilon-regularity estimates.
result Smooth convergence of G2G_2-solitons under uniform energy bounds at half the dimension.

We prove that if DCnD\subset C^n is a bounded domain with real analytic boundary and D is pseudoconvex then the compact open topology in the group of holomorphic automorphisms of D is the topology of uniform convergence on D.

1999-11-10abs ↗pdf ↗

The paper proves smoothness of transition layers in the Allen-Cahn equation.

problem Proving uniform C2,αC^{2,\alpha} regularity for transition layers.
method Utilizes Allen-Cahn monotonicity formula, Lipschitz approximation, and blowups.
result Shows uniform C2,αC^{2,\alpha} regularity for transition layers converging to smooth mean curvature flows.

We prove that if YY is the Gromov-Hausdorff limit of a sequence of compact manifolds, MinM^n_i, with a uniform lower bound on Ricci curvature and a uniform upper bound on diameter, then YY has a universal cover. We then show that, for ii sufficiently large, the fundamental group of MiM_i has a surjective homeomorphis…

2000-08-29abs ↗pdf ↗

The paper examines convergence of distances in Lipschitz structures on manifolds.

problem Convergence of distances in Lipschitz vector fields and norms on manifolds.
method Analysis of convergence of distances associated to converging structures of Lipschitz vector fields and norms.
result Under mild controllability assumption, distances converge locally uniformly to the limit Carnot-Carathéodory distance.

We explore the distinctions between LpL^p convergence of metric tensors on a fixed Riemannian manifold versus Gromov-Hausdorff, uniform, and intrinsic flat convergence of the corresponding sequence of metric spaces. We provide a number of examples which demonstrate these notions of convergence do not agree even for two…

2018-03-17abs ↗pdf ↗

Investigates optimal strategies under financial uncertainty, proving convergence as uncertainty increases.

problem Utility maximization in financial markets with model uncertainty.
method Explicit representation of optimal strategy, minimax theorem, convergence analysis.
result Optimal strategy converges to a generalized uniform diversification strategy as uncertainty increases.

This work establishes uniform convergence of subdifferentials in stochastic optimization.

problem Understanding how empirical stationary points approximate population ones in nonsmooth, nonconvex stochastic optimization.
method Reduction principle for weakly convex stochastic objectives, focusing on subgradient convergence.
result Sharp uniform convergence rates for subdifferential mappings in stochastic convex-composite optimization.

We announce new results concerning the asymptotic behavior of the Betti numbers of higher rank locally symmetric spaces as their volumes tend to infinity. Our main theorem is a uniform version of the Lück Approximation Theorem \cite{luck}, which is much stronger than the linear upper bounds on Betti numbers given by Gr…

2011-04-29abs ↗pdf ↗

The paper provides Gaussian approximations for decentralized Federated Learning.

problem Lack of asymptotic statistical guarantees for local SGD in Federated Learning.
method Two generalized Gaussian approximation results for local SGD trajectories.
result Valid multiplier bootstrap procedures and Gaussian bootstrap-based tests for detecting adversarial attacks.

Develops uniform convergence guarantees for a broad class of risk functionals in supervised learning.

problem Bounding generalization gaps for various risk functionals beyond the expectation.
method Establishes uniform convergence for Hölder risk functionals, providing guarantees for empirical risk minimization.
result First uniform convergence results for estimating the CDF of loss distributions, applicable to various risk functionals.

We characterize convex cocompact subgroups of the mapping class group of a surface in terms of uniform convergence actions on the zero locus of the limit set. We also construct subgroups that act as uniform convergence groups on their limit sets, but are not convex cocompact.

2007-04-19abs ↗pdf ↗

We generalize Roe's index theorem for graded generalized Dirac operators on amenable manifolds to multigraded elliptic uniform pseudodifferential operators. The generalization will follow from a local index theorem that is valid on any manifold of bounded geometry. This local formula incorporates the uniform estimates …

2018-06-06abs ↗pdf ↗

Smooth DNNs mitigate the curse of dimensionality in uniform convergence for various regression tasks.

problem The curse of dimensionality in uniform convergence of ReLU networks.
method Analysis of smoothly activated deep neural networks (smooth DNNs), establishing pseudo-dimension bounds and non-asymptotic approximation guarantees.
result Smooth DNNs achieve non-asymptotic uniform convergence rates across multiple statistical contexts, mitigating the curse of dimensionality.

Uniform convergence of isotopies implies ambient isotopy, aiding knot equivalence.

problem Determining when uniform convergence of isotopies leads to ambient isotopies.
method Using a diagrammatic condition to offload uniform convergence, constructing examples of tame knots.
result Constructing tame knots with countably-many crossings, distinguishing them from wild curves.

We prove that if a family of metrics, gig_i, on a compact Riemannian manifold, MnM^n, have a uniform lower Ricci curvature bound and converge to gg_\infty smoothly away from a singular set, SS, with Hausdorff measure, Hn1(S)=0H^{n-1}(S) = 0, and if there exists connected precompact exhaustion, WjW_j, of MnSM^n \setminus S s…

2012-10-03abs ↗pdf ↗

The paper proves stability of manifolds with boundary under volume and distance constraints.

problem Stability of manifolds with boundary under volume and distance constraints.
method Volume preserving intrinsic flat convergence of metrics with boundary constraints.
result The stability of manifolds with boundary under volume and distance constraints is proven.

Compact theorem for SO(3)SO(3) anti-self-dual equations on cylindrical manifolds.

problem Proving compactness of instantons with translation symmetry.
method Gromov-Uhlenbeck type compactness theorem for SO(3)SO(3) anti-self-dual instantons.
result Sequence of instantons converges to singular objects with instanton and holomorphic curve components.