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.

168,695 papers · 148 categories

Trend · papers per month

5111621 · May 202619922001200920172026
48 results for diminishing radius

BMM algorithm improves convergence for nonconvex optimization problems.

problem Constrained nonsmooth nonconvex optimization problems.
method Block majorization-minimization with diminishing radius.
result Improved convergence rate for nonconvex optimization problems.

Enhanced ROOT-SGD optimizes stochastic optimization with diminishing stepsizes.

problem Improving statistical efficiency in stochastic optimization.
method Integrates a diminishing stepsize strategy into ROOT-SGD.
result Achieves optimal convergence rates with improved stability and precision.

Develops an online Gaussian process method that maintains convergence guarantees without sample complexity issues.

problem The computational intractability of Gaussian processes with streaming data.
method Parsimonious Online Gaussian Processes (POG) that maintains asymptotic consistency with bounded memory.
result POG preserves convergence guarantees to the population posterior with finite memory, even for constant error radius.

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 ↗

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.

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.

Paper establishes a formula linking model performance to insurance loss ratio.

problem Improving model performance does not always lead to proportional improvements in loss ratio.
method Derives a closed-form formula connecting Pearson correlation to expected loss ratio.
result Model improvements have diminishing marginal returns in reducing loss ratio.

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.

Pretraining models improves text classification accuracy, but diminishing returns are observed with large datasets.

problem Improving text classification accuracy with pretrained models.
method Examined the benefits of pretrained models on text classification tasks with varying amounts of training data.
result As the number of training examples grows into the millions, the accuracy gap between pretrained BERT-based models and vanilla LSTM narrows to within 1%.

A translation structure equips a Riemann surface with a singular flat metric. Not much is known about the shape of a random translation surface. We compute an upper bound on the expected value of the covering radius of a translation surface in any stratum H_1(kappa). The covering radius of a translation surface is the …

2018-09-27abs ↗pdf ↗

This paper considers metric balls B(p,R)B(p,R) in two dimensional Riemannian manifolds when RR is less than half the convexity radius. We prove that Area(B(p,R))8πR2Area(B(p,R)) \geq \frac{8}πR^2. This inequality has long been conjectured for RR less than half the injectivity radius. This result also yields the upper bound $μ_2(B(p,R)…

2017-01-23abs ↗pdf ↗

Study finds shortest geodesic loops on Stiefel manifold and calculates its injectivity radius.

problem Determining the shortest geodesic loops and injectivity radius on Stiefel manifold.
method Combining bounds on sectional curvature with existing metrics.
result Exact value of the injectivity radius for a wide range of metrics.

Study compares eigenvalues on spherically symmetric manifolds to Euclidean balls.

problem Comparing eigenvalues on spherically symmetric manifolds to Euclidean balls.
method Examines Dirichlet Laplace eigenvalues on balls of spherically symmetric manifolds and Euclidean space.
result Eigenvalues on spherically symmetric manifolds are smaller for small radii, but larger for hyperbolic spaces.

The paper improves bounds on injectivity radius for manifolds with positive scalar curvature.

problem Finding tighter bounds on the injectivity radius for manifolds with positive scalar curvature.
method Utilizing Green's inequality and topological assumptions on manifolds, including specific 3-manifolds and products.
result Stronger upper bounds on injectivity radius for certain manifolds, including products and 3-manifolds with positive scalar curvature.

In this note we relate the geometric notion of fill radius with the fundamental group of the manifold. We prove: ''Suppose that a closed Riemannian manifold M satisfies the property that its universal cover has bounded fill radius. Then the fundamental group of M is virtually free.'' We explain the relevance of this th…

2009-06-24abs ↗pdf ↗

Characterizes submanifolds with minimum ratio of diameter to focal radius.

problem Finding submanifolds with the minimum ratio of extrinsic diameter to focal radius.
method Combining K. Sakamoto's classification of submanifolds with planar geodesics and A. Schur's Bow Lemma for space curves.
result Essentially round spheres or Veronese embeddings of projective spaces achieve the minimum ratio.

We define a capacity which measures the size of Weinstein tubular neighbourhoods of Lagrangian submanifolds. In symplectic vector spaces this leads to bounds on the codisc radius for any closed Lagrangian submanifold in terms of Viterbo's isoperimetric inequality. Moreover, we prove a generalization of Gromov's packing…

2012-10-08abs ↗pdf ↗

We discuss inverse resonance scattering for the Laplacian on a rotationally symmetric manifold M=(0,)×YM = (0,\infty) \times Y whose rotation radius is constant outside some compact interval. The Laplacian on MM is unitarily equivalent to a direct sum of one-dimensional Schrödinger operators with compactly supported potenti…

2019-04-18abs ↗pdf ↗

Given a positive function uW1,nu\in W^{1,n}, we define its John-Nirenberg radius at point xx to be the supreme of the radius such that Btlogun<ε0n\int_{B_t}|\nabla\log u|^n<ε_0^n when n>2n>2, and Btu2<ε02\int_{B_t}|\nabla u|^2<ε_0^2 when n=2n=2. We will show that for a collapsing sequence in a fixed conformal class under some curvature c…

2017-08-07abs ↗pdf ↗

The paper establishes lower bounds on injectivity radius and constructs metrics with bounded geometry.

problem Establishing lower bounds on the normal injectivity radius of hypersurfaces and constructing metrics with bounded geometry on manifolds with boundary.
method Pointwise lower estimates and constructions of metrics with bounded geometry.
result The construction of metrics with bounded geometry on arbitrary manifolds with boundary.

The paper extends radius estimates for stable hypersurfaces in 2, 3, and 4 dimensions.

problem Estimating the radius of nearly stable hypersurfaces in specific dimensions.
method Generalizing existing radius estimates for CMC hypersurfaces in Riemannian manifolds with bounded curvature.
result Radius estimates for nearly stable hypersurfaces in 2, 3, and 4 dimensions are extended.

Recall that the radius of a compact metric space (X,dist)(X, dist) is given by rad X=minxXmaxyXdist(x,y)rad\ X = \min_{x\in X} \max_{y\in X} dist(x,y). In this paper we generalize Berger's 14\frac{1}{4}-pinched rigidity theorem and show that a closed, simply connected, Riemannian manifold with sectional curvature 1\geq 1 and radius $\geq \fracπ{2…

1995-05-26abs ↗pdf ↗

Through using the semidiameter (in connection to: the mean radius and surface radius) of a convex closed hypersurface in Rn2\mathbb R^{n\ge 2} as an sharp upper bound of the variational (1,n)p(1,n)\ni p-capacity radius, this paper settles a restriction/variant of S.-T. Yau's \cite[Problem 59]{Yau} from the surface area to t…

2013-02-20abs ↗pdf ↗