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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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145291436581 · Jun 202019922001200920172026
48 results for sphere distributions

New normalizing flows for sphere distributions improve complexity and scale handling.

problem No straightforward normalizing flows for Fisher-Bingham distributions in higher dimensions.
method Zoom-linear-project (ZLP)-Fisher flows that gradually add complexity and handle varying scales.
result Generalizes Fisher-Bingham distributions to normalizing flows in any dimension.

Quaternionic Brownian motion on flag manifold linked to sphere diffusion.

problem Modeling quaternionic stochastic areas on quaternionic flag manifolds.
method Relating quaternionic Brownian motion to symplectic Brownian motion and using radial dynamics.
result Quaternionic stochastic areas follow a multivariate normal distribution.

Associated to the problem of rolling one surface along another there is a five-manifold M with a rank two distribution. If the two surfaces are spheres then M is the product of the rotation group SO_3 with the two-sphere and its distribution enjoys an obvious symmetry group; the product of two SO_3's, one for each sphe…

2006-12-18abs ↗pdf ↗

Study shortest geodesics on flat cone spheres with conical singularities.

problem Understanding the distribution of shortest geodesics on flat cone spheres.
method Proved a recurrent relation on the distribution of the length of shortest geodesics with respect to Thurston's volume form.
result Proved a recurrent relation on the distribution of the length of shortest geodesics.

We develop time-uniform confidence spheres for estimating means of random vectors.

problem Sequential mean estimation in high-dimensional spaces.
method Derive time-uniform confidence sphere sequences (CSSs) for various types of random vectors.
result Optimal CSSs for log-concave, sub-Gaussian, and sub-ψψ random vectors.

We show that the family of probability measures on the nn-dimensional unit sphere, having density proportional to: \[ S^n \ni y \mapsto \frac{1}{|y - x|^{n+α}}, \] satisfies the Curvature-Dimension condition CD(n1n+α4,α)CD(n-1-\frac{n+α}{4},-α), for all x<1|x| < 1, αnα\geq -n and n2n\geq 2. The case α=1α= 1 corresponds to the hit…

2015-05-16abs ↗pdf ↗

The paper derives Pizzetti formulae and inverts the Radon transform on spheres.

problem Inverting the Radon transform on spheres.
method Obtained Pizzetti-type formulae on sphere regions, used delta distributions, and derived inversion formulae.
result Derived Pizzetti formulae and inversion formulae for the Radon transform on spheres.

The study connects projective codes to the distribution of zeros of odd maps.

problem Understanding the distribution of zeros of odd maps from spheres to Euclidean space.
method Using the topology of the space of probability measures on the sphere.
result Generalization of the Borsuk-Ulam theorem and its four consequences.

The paper explores isomorphisms on isoparametric hypersurfaces in spheres, leading to new geometric structures.

problem Investigating isomorphisms between principal distributions on isoparametric hypersurfaces.
method Constructing vector bundle isomorphisms and nearly Kähler structures.
result Explicit construction of a global vector bundle isomorphism for all odd multiplicities.

The paper studies Pansu spheres in a sub-Riemannian 3-sphere and their area-minimizing properties.

problem The study of Pansu spheres and their area-minimizing properties in a sub-Riemannian 3-sphere.
method Calibration arguments.
result The closed half-spheres of S0\mathcal{S}_0 with boundary C0C_0 minimize sub-Riemannian area among compact C1C^1 surfaces with the same boundary.

Two flat sub-Lorentzian problems on Martinet distribution differ in attainable set intersections.

problem Flat sub-Lorentzian structures on Martinet distribution.
method Analysis of attainable sets, optimal trajectories, sub-Lorentzian distances and spheres.
result The attainable set for the first problem intersects with the Martinet plane, while for the second it does not.

A new distribution addresses scalability and numerical stability issues of the vMF.

problem Scalability and numerical stability issues in sampling from the von Mises-Fisher (vMF) distribution.
method Proposes the Power Spherical distribution, retaining vMF's properties but addressing its drawbacks.
result Demonstrates the stability of Power Spherical distributions and applies it to a variational auto-encoder.

Given any smooth fibration of the unit 3-sphere by great circles, we show that the distribution of 2-planes orthogonal to the great circle fibres is a tight contact structure, a fact well known in the special case of the Hopf fibrations. The proof expresses hypothesis and conclusion as differential inequalities involvi…

2018-02-11abs ↗pdf ↗

Study investigates induced geometry on surfaces in 3D contact manifolds.

problem Understanding the metric structure on surfaces embedded in 3D contact sub-Riemannian manifolds.
method Defined a coefficient to characterize characteristic points and identified global conditions for finite induced distance.
result Proved induced distance finite for certain surfaces with isolated characteristic points.

A simple geometrical proof shows that any target function can be found in a random network's neighborhood.

problem Finding any target function in a random network's neighborhood.
method Geometrical proof using a simple model of a high-dimensional sphere projected onto a low-dimensional subspace.
result High-dimensional geometry ensures that a uniform distribution over a sphere reduces to a Gaussian distribution with negligible covariances, enabling the presence of any target function in a random network's neighborhood.

The first aim of the present paper is to compare various sub-Riemannian structures over the three dimensional sphere S3S^3 originating from different constructions. Namely, we describe the sub-Riemannian geometry of S3S^3 arising through its right Lie group action over itself, the one inherited from the natural complex…

2009-01-11abs ↗pdf ↗

We consider a geometrically finite discrete group of conformal transformations of the sphere. Further we consider distributions which are supported on the limit set and are invariant with conformal weight. We estimate their regularity in terms of the conformal weight, the Hausdorff dimension of the limit set, and the m…

2001-03-23abs ↗pdf ↗

This paper studies CR geometry of transversal curves in the 3-sphere.

problem Investigating CR geometry of transversal curves in the 3-sphere.
method Using local CR invariants of the 3-sphere, four global invariants are considered: phase anomaly, CR spin, Maslov index, and CR self-linking number.
result Closed critical curves of the simplest CR invariant variational problem for generic transversal curves are studied.

The notion of a parallelizable distribution has been introduced and investigated. A non-integrable parallelizable distribution carries a natural sub-Riemannian structure. The geometry of this structure has been studied from the bi-viewpoint of absolute parallelism geometry and sub-Riemannian geometry. Two remarkable li…

2016-03-19abs ↗pdf ↗

Bayesian framework for sphere regression using Gaussian fields.

problem Nonparametric regression on the sphere with Gaussian priors.
method Isotropic Gaussian field priors, harmonic structure, exact posterior distributions, optimal spectral truncation, posterior contraction rates.
result Sharp posterior contraction rates for Gaussian priors with polynomially decaying angular power spectra.

This work studies the chord length distribution, in the case where both ends lie on a NN-dimensional hypersphere (N2N \geq 2). Actually, after connecting this distribution to the recently estimated surface of a hyperspherical cap \cite{SLi11}, closed-form expressions of both the probability density function and the cu…

2014-11-20abs ↗pdf ↗

New MCMC methods map high-dimensional problems to spheres for better mixing.

problem Mixing issues in high-dimensional distributions, especially heavy-tailed ones.
method Stereographic Markov Chain Monte Carlo (MCMC) methods that map high-dimensional problems to spheres.
result Uniformly ergodic samplers for various distributions, including heavy-tailed ones, with faster convergence in higher dimensions.

We give the best possible upper bound for the number of exceptional values of the Lagrangian Gauss map of complete improper affine fronts in the affine three-space. We also obtain the sharp estimate for weakly complete case. As an application of this result, we provide a new and simple proof of the parametric affine Be…

2010-04-09abs ↗pdf ↗

New method explains high-dimensional sphere data with latent factors.

problem Understanding intricate dependence structure in high-dimensional sphere data.
method Exploratory factor analysis of the projected normal distribution with a fast alternating expectation profile conditional maximization algorithm.
result Uniformly excellent results on various data types, including tweets, brain imaging, and cancer gene expression.

The paper examines stability of the Sobolev inequality in metric spaces with curvature dimension conditions.

problem Investigating stability of the Sobolev inequality in metric spaces with curvature dimension conditions.
method Assuming almost the same optimal constant, the paper shows that the cumulative distribution of almost extremal functions is close to that of an Aubin-Talenti bubble on the round sphere.
result Quantitative stability with sharp exponent for the Sobolev inequality in various curvature and dimension assumptions.

In this article we study the sub-Riemannian geometry of the spheres S2n+1S^{2n+1} and S4n+3S^{4n+3}, arising from the principal S1S^1-bundle structure defined by the Hopf map and the principal S3S^3-bundle structure given by the quaternionic Hopf map respectively. The S1S^1 action leads to the classical contact geometry of $…

2010-08-31abs ↗pdf ↗

Random hyperbolic surfaces with punctures converge to the Brownian sphere.

problem Understanding the geometry of random hyperbolic surfaces with punctures.
method Rescaling and encoding via plane trees with continuous labels.
result Rescaled random hyperbolic surfaces converge to the Brownian sphere.

We present in this article a survey of recent results in value distribution theory for the Gauss maps of several classes of immersed surfaces in space forms, for example, minimal surfaces in Euclidean nn-space (nn=3 or 4), improper affine spheres in the affine 3-space and flat surfaces in hyperbolic 3-space. In parti…

2017-07-12abs ↗pdf ↗

Study magnetic geodesics on odd spheres, computing critical energy values.

problem Understanding magnetic geodesics on odd-dimensional spheres.
method Explicit computation and analysis of submanifolds and symmetries.
result Energy values determine magnetic geodesic connectivity on spheres.

The paper explores how data geometry influences generalization in neural networks.

problem Understanding generalization in overparameterized neural networks.
method Theoretical exploration of overparametrized two-layer ReLU networks trained below the edge of stability.
result Generalization bounds adapt to the intrinsic dimension of data distributions and deteriorate as data concentrates towards the unit sphere.