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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.

168,742 papers · 148 categories

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68135203270 · Jun 202019922001200920172026
48 results for upper dimension

Study finds conditions for operator fields to be in strictly upper triangular form in small dimensions.

problem Jordan-Chevalley decomposition for operator fields in small dimensions.
method Tensorial conditions and proof of conjecture for higher order brackets.
result Proves Tempesta-Tondo conjecture for higher order brackets.

This research sets limits on how complex multi-class learning problems can be.

problem Understanding the complexity of multi-class classification problems.
method Established upper bounds on Natarajan dimensions for specific function classes.
result Upper bounds on Natarajan dimensions for multi-class decision trees, random forests, and neural networks.

Given a closed manifold M, we prove the upper bound of (n+d)/2 for the length of a product of systoles that can form a curvature-free lower bound for the total volume of M, in the spirit of M. Gromov's systolic inequalities. Here n is the dimension of M, while d is the is the cohomological dimension of its fundamental …

2008-07-31abs ↗pdf ↗

This paper considers affine analogues of the isoperimetric inequality in the sense of piecewise linear topology. Given a closed polygon P embedded in R^d having n edges, we give upper and lower bounds for the minimal number of triangles needed to forma triangulated embedded orientable surface in R^d having P as its geo…

2002-02-18abs ↗pdf ↗

On a closed weighted Riemannian manifold with nonnegative Bakry-Émery Ricci curvature, it is shown that the ratio of the kk-th to first eigenvalues of the weighted Laplacian is dominated by 641k2641k^2, using an argument via the Cheeger constant. While improving the previous exponential upper bound, the order of kk here…

2014-05-09abs ↗pdf ↗

Bray's football theorem (\cite{bray2009penrose}) is a weakening of Bishop theorem in dimension 3. It gives a sharp volume upper bound for a three dimensional manifold with scalar curvature larger than n(n1)n(n-1) and Ricci curvature larger than ε\varepsilon. This paper extends Bray's football theorem in high dimensions, …

2019-09-03abs ↗pdf ↗

In this work we study the quantitative relation between the recursive teaching dimension (RTD) and the VC dimension (VCD) of concept classes of finite sizes. The RTD of a concept class C{0,1}n\mathcal C \subseteq \{0, 1\}^n, introduced by Zilles et al. (2011), is a combinatorial complexity measure characterized by the worst…

2017-02-18abs ↗pdf ↗

The study bounds dimensions and proves existence of holomorphic sections on Kähler Ricci shrinkers.

problem Estimating dimensions and existence of holomorphic sections with polynomial growth on Kähler Ricci shrinkers.
method Proved upper bounds for dimensions and existence of sections using polynomial growth.
result Upper bounds for dimensions and existence of holomorphic sections with polynomial growth on Kähler Ricci shrinkers.

A fundamental theorem of Wolfe isometrically identifies the space of flat differential forms of dimension mm in Rn\mathbb{R}^n with the space of flat mm-cochains, that is, the dual space of flat chains of dimension mm in Rn\mathbb{R}^n. The main purpose of the present paper is to generalize Wolfe's theorem to the se…

2014-01-30abs ↗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.

The paper connects GNNs to VC dimension theory to study their generalization performance.

problem Understanding GNNs' ability to make meaningful predictions beyond the training set.
method Using Vapnik-Chervonenkis (VC) dimension theory in two settings: no upper bound on graph order and known upper bound.
result Tight connections between GNNs' bitlength, number of colors, and VC dimension in different settings.

Study robust learning without knowing perturbation sets, using interactions with attackers.

problem Learning robust predictors against unknown adversarial perturbations.
method Examined different interaction models with adversarial attackers, derived bounds on sample complexity and interactions.
result Upper bounds on sample complexity and lower bounds on interactions in various models.

Sharp upper bounds found for Steklov eigenvalues of a specific hypersurface.

problem Finding upper bounds for Steklov eigenvalues of a specific type of hypersurface.
method Analytical approach to compute upper bounds and prove stability properties.
result Sharp upper bounds Bn(L)B_n(L) and BnB_n for Steklov eigenvalues are derived.

New research determines the optimal sample complexity for multiclass and list learning.

problem Determining the optimal sample complexity for multiclass classification.
method Algebraic characterization of multiclass hypothesis classes in terms of their DS dimension.
result Proves a longstanding conjecture and determines the optimal dependence of sample complexity on DS dimension.

The paper strengthens a theorem on crossings under linear perturbations with Hausdorff measure estimates.

problem Understanding multiple-point crossings under linear perturbations.
method Establishes a transversality theorem with Hausdorff measure estimates for exceptional parameter sets.
result Explicit upper bounds on the Hausdorff dimension of the exceptional set.

We determine all Chern numbers of smooth complex projective varieties of dimension at least four which are determined up to finite ambiguity by the underlying smooth manifold. We also give an upper bound on the dimension of the space of linear combinations of Chern numbers with that property and prove its optimality in…

2015-05-12abs ↗pdf ↗

New algorithm for learning functions with bounds on error and sample complexity.

problem Learning [0,1][0,1]-valued functions in a prediction model.
method General-purpose algorithm with upper and lower bounds on expected error and sample complexity.
result Improved bounds on sample complexity and agnostic learning conditions.

New functionals defined for free boundary minimal submanifolds in higher dimensions.

problem Characterizing metrics for free boundary minimal submanifolds in geodesic balls.
method Introducing and studying new functionals Θr,iΘ_{r,i} and Ωr,iΩ_{r,i} for higher-dimensional free boundary minimal submanifolds.
result Critical metrics for these new functionals are the metrics induced by free boundary minimal immersions.

Lower bounds for geodesic ball volume in 3D with Ricci curvature constraints.

problem Finding volume bounds in 3D manifolds with Ricci curvature limits.
method Providing lower bounds for geodesic ball volume with upper bounds on Ricci curvature.
result Established lower bounds for geodesic ball volume under Ricci curvature constraints.

We study isometries in the contact sub-pseudo-Riemannian geometry. In particular we give an upper bound on the dimension of the isometry group of a general sub-pseudo-Riemannian manifold and prove that the maximal dimension is attained for the left invariant structures on the Heisenberg group.

2015-08-04abs ↗pdf ↗

This work proves lower bounds on a greedy teaching set construction algorithm.

problem Characterize the best-case teaching dimension of a concept class.
method A greedy algorithm that iteratively adds points to the teaching set to restrict the concept class the most.
result Lower bounds on the performance of the greedy approach for small k, extending up to k ≤ c*d for small constant c.

We introduce higher-order Poincar'e constants for compact weighted manifolds and estimate them from above in terms of subsets. These estimates imply upper bounds for eigenvalues of the weighted Laplacian and the first nontrivial eigenvalue of the pp-Laplacian. In the case of the closed eigenvalue problem and the Neuma…

2019-07-08abs ↗pdf ↗

Relates geodesic integrals to Killing tensors, exploring their dimensions.

problem Understanding geodesic integrals and Killing tensors in Riemannian geometry.
method Relating rational integrals of geodesic flow to relative Killing tensors, analyzing their span and dimensions.
result Upper bounds on dimensions of spaces spanned by these integrals and tensors.

Optimal sampling bounds for various classification losses under different regularization terms.

problem Achieving optimal sampling complexity for classification losses under different regularization terms.
method Proved optimal sampling bounds for a broad class of Lipschitz continuous classification loss functions under various regularization terms.
result Proved k2/ε2k^2/\varepsilon^2 upper and lower bounds for 2/k\|\cdot\|_2/k regularization, and k/ε2k/\varepsilon^2 upper and lower bounds for 1/k\|\cdot\|_1/k regularization.

New bounds on SGD's final iterate convergence rate in constant dimension.

problem Characterize the convergence rate of SGD's final iterate in constant dimension.
method Proved lower bounds of Ω(logd/T)Ω(\log d/\sqrt{T}) and Ω(logd/T)Ω(\log d/T) for non-smooth Lipschitz convex and strongly convex functions respectively.
result First general dimension dependent lower bound on SGD's final iterate convergence rate.