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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.

169,341 papers · 148 categories

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48 results for inner radius

The study improves bounds on inner radius of nodal domains on Riemannian manifolds.

problem Finding asymptotic lower bounds on inner radius of nodal domains.
method Improvement of existing bounds using real-analytic and recent results on negative curvature and ergodic geodesic flow.
result Log-type improvements in inner radius bounds for negative curvature and improved bounds for manifolds with ergodic geodesic flow.

Quantum ergodic eigenfunctions improve inner radius bounds of nodal domains.

problem Improving bounds on inner radius of nodal domains for quantum ergodic eigenfunctions.
method Using recent results on eigenfunction equidistribution on small balls and modified growth estimates.
result Logarithmic and polynomial improvements on inner radius for various manifolds.

Study on area-constrained Willmore spheres in asymptotic Schwarzschild manifolds.

problem Existence of area-constrained Willmore spheres with non-negative Hawking mass and inner radius.
method Analysis of scalar curvature and asymptotic properties of 3-manifolds.
result No large area-constrained Willmore spheres exist under certain conditions.

We study the biharmonic Steklov eigenvalue problem on a compact Riemannian manifold ΩΩ with smooth boundary. We give a computable, sharp lower bound of the first eigenvalue of this problem, which depends only on the dimension, a lower bound of the Ricci curvature of the domain, a lower bound of the mean curvature of i…

2012-06-29abs ↗pdf ↗

The paper generalizes envelope constructions for chords in circles, revealing complex singularities.

problem Understanding envelopes of chords in circles with varying parameters and configurations.
method Generalizing the embroidery method to rational and concentric circles, breaking symmetry to reveal higher singularities.
result Higher singularities like swallowtails and butterflies can be unfolded, revealing their structure.

Convex hypersurfaces evolve to spheres under a specific flow.

problem Volume preserving nonhomogeneous mean curvature flow of convex hypersurfaces.
method Monotonicity of isoperimetric ratio, inner and outer radius control, maximum principle arguments.
result Closed convex hypersurfaces converge to round spheres.

The study examines the distribution of projections of Gaussian data points and its implications for learning models.

problem Understanding the distribution of projections of Gaussian data points in high dimensions.
method Analyzes the asymptotic behavior of projections of i.i.d. standard Gaussian vectors in Rd\mathbb{R}^d onto mm-dimensional subspaces.
result Establishes bounds on the Wasserstein radius of the set of probability distributions arising from these projections.

Closed and broken electromagnetic orbits in Kerr-Newman spacetime

problem Constructing closed and broken electromagnetic orbits in the Kerr-Newman spacetime
method Constructing smooth closed electromagnetic orbits tangent to the axial Killing field and proving the existence of spherical electromagnetic orbits
result Proving the existence of spherical electromagnetic orbits and constructing closed broken electromagnetic orbits

The paper establishes estimates for convexity and injectivity radii in Riemannian manifolds.

problem Estimating convexity and injectivity radii in Riemannian manifolds.
method Pointwise and curvature-free estimates on convexity radius, injectivity radius, and local behavior of geodesics.
result Established estimates for convexity and injectivity radii in Riemannian manifolds.

The ratio of convexity radius over injectivity radius may be made arbitrarily small within the class of compact Riemannian manifolds of any fixed dimension at least two. This is proved using Gulliver's method of constructing manifolds with focal points but no conjugate points. The approach is suggested by a characteriz…

2014-12-01abs ↗pdf ↗

Uniform curvature bounds for regularized metrics with bounds on Ricci tensor and injectivity radius.

problem Bounding curvature of regularized metrics with constraints on Ricci tensor and injectivity radius.
method Mollification of riemannian metrics, uniform W2,pW^{2,p}-harmonic radius bounds, Ricci tensor bounds, injectivity radius bounds.
result Uniform estimate on the change of sectional curvature for regularized metrics.

Upper bound for conjugate radius in open manifolds with scalar curvature and spectrum constraints.

problem Bounding the conjugate radius of open manifolds with specific curvature and spectrum conditions.
method Established an upper bound using scalar curvature and bottom-of-spectrum constraints.
result For certain conditions, the conjugate radius is no more than π.

New spectral functionals for Dirac operators with inner fluctuations computed.

problem Spectral functionals and Dirac operators with inner fluctuations.
method Extension of spectral functionals for Dirac operators with inner fluctuations.
result Computed spectral Einstein functional for Dirac operator with inner fluctuations on even-dimensional spin manifolds.

A new algorithm tackles bilevel optimization with multiple inner minima.

problem Challenges in bilevel optimization with multiple inner minima.
method Reformulated as constrained optimization, solved via primal-dual bilevel optimization (PDBO) algorithm.
result First non-asymptotic convergence guarantee for bilevel optimization with multiple inner minima.

Defines John-Nirenberg radius for collapsing conformal metrics and proves a convergence theorem.

problem Analyzing collapsing conformal metrics in a fixed conformal class.
method Defining John-Nirenberg radius and proving convergence using curvature conditions.
result The John-Nirenberg radius is bounded below by a positive constant for collapsing conformal metrics.

This paper constructs quandles with abelian inner automorphism groups from graphs, proving their homogeneity.

problem Finding quandles with specific automorphism properties.
method Starting from simple graphs, the paper constructs quandles with abelian inner automorphism groups and proves their homogeneity.
result Homogeneous quandles with abelian inner automorphism groups are constructed from vertex-transitive graphs.

The expected covering radius of a translation surface is bounded by a function of log g/g^(1/2).

problem Computing the expected covering radius of translation surfaces.
method Estimating the volume of the thin part of H_1(kappa) and using it to bound the covering radius.
result The expected covering radius is bounded above by a uniform multiple of ((log g)/g)^(1/2).

Study how nodal domains change on surfaces under perturbations.

problem How eigenfunction nodal domains change on surfaces under smooth perturbations.
method Sector/graph count near nodal critical points, upper semicontinuity proof, branch-free on spectral clusters, wavelength-scale analysis.
result Upper semicontinuity of nodal domain count, no new domains created at wavelength scale, stable count in noncritical cases.

Groups with specific properties have vanishing 2\ell^2-Betti numbers.

problem Understanding 2\ell^2-Betti numbers for certain groups.
method Introduced cheap 1-rebuilding property and used structure theorem of Tucker-Drob.
result First 2\ell^2-Betti numbers vanish for specified groups.

The paper proves an area inequality for metric balls in Riemannian manifolds.

problem Proving an area inequality for metric balls in Riemannian manifolds.
method Analyzing metric balls B(p,R)B(p,R) in two-dimensional Riemannian manifolds.
result Proves an area inequality Area(B(p,R))8πR2Area(B(p,R)) \geq \frac{8}πR^2 for RR less than half the convexity radius.

The paper bounds bandwidth and focal radius for manifolds with positive isotropic curvature.

problem Bounding bandwidth and focal radius for manifolds with positive isotropic curvature.
method Using spectral properties of a twisted de Rham-Hodge operator.
result Upper bounds on bandwidth and focal radius are derived for hypersurfaces in PIC manifolds.

Upper bound on Stiefel manifold's injectivity radius found.

problem Finding the maximum distance within which the Stiefel manifold remains injective.
method Exhibited conjugate points and calculated the minimum of geodesic lengths.
result Upper bound on Stiefel manifold's injectivity radius is conjectured to be equal to the injectivity radius.

The author reviews his results on locally compact homogeneous spaces with inner metric, in particular, homogeneous manifolds with inner metric. The latter are isometric to homogeneous (sub-)Finslerian manifolds; under some additional conditions they are isometric to homogeneous (sub)-Riemannian manifolds. The class ΩΩ

2014-12-26abs ↗pdf ↗

Researchers prove inner product recovery is impossible in latent space models.

problem Recovering inner products in latent space models with random geometric graphs.
method Rate-distortion theory applied to Gaussian or spherical latent locations.
result Impossible to recover inner products if dimensionality exceeds nh(p)n h(p), matching positive results' conditions.

Bayesian optimization with Gaussian processes speeds up searches for stationary points.

problem Accelerating searches for stationary points on potential energy surfaces.
method Unified Bayesian optimization view using Gaussian process regression with derivative observations, inverse-distance kernels, and active learning.
result Surrogates can reduce the number of expensive electronic structure evaluations by an order of magnitude.

Smooths metrics on manifolds with curvature bounds and injectivity radius constraints.

problem Smooth metrics on manifolds with curvature and injectivity constraints.
method Bi-Lipschitz smoothing with controlled smoothing and volume lower bounds.
result Proves existence of smooth metrics with curvature bounds and injectivity radius constraints.

Paper proposes a new method to optimize feature coordinates for better image classification.

problem Improving feature extraction for better machine learning classification.
method Mutual-energy inner product optimization method.
result The method enhances low-frequency features and suppresses high-frequency noise, leading to better classification results.

We classify homotopes of classical symmetric spaces (studied in Part I of this work). Our classification uses the fibered structure of homotopes: they are fibered as symmetric spaces, with flat fibers, over a non-degenerate base; the base spaces correspond to inner ideals in Jordan pairs. Using that inner ideals in cla…

2010-11-13abs ↗pdf ↗