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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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137273410546 · Jun 202019922001200920182026
48 results for Grushin distribution

We realise the first and second Grushin distributions as symmetry reductions of the 3-dimensional Heisenberg distribution and 4-dimensional Engel distribution respectively. Similarly, we realise the Martinet distribution as an alternative symmetry reduction of the Engel distribution. These reductions allow us to derive…

2012-07-23abs ↗pdf ↗

Study sub-Finsler geometry in time-optimal control for specific distributions.

problem Characterize optimal paths in sub-Finsler geometry for non-smooth, non-convex structures.
method Time-optimal control approach for Heisenberg, Grushin, and Martinet distributions.
result Extremal curves are Euclidean rectifiable and optimal.

The study examines optimal synthesis in a radially symmetric Grushin space with conditions on the weight function.

problem Optimal synthesis in a radially symmetric Grushin space with a weight function.
method Analysis of the geometry of R3\mathbb{R}^3 with a weighted Carnot-Carathéodory metric, providing conditions for Grushin-like structure, and describing optimal synthesis.
result Sufficient conditions on the weight function ensure a Grushin-like structure, and the candidate cut time coincides with the true cut time in the integrable case.

Fundamental solutions found for p-Laplace equations in Heisenberg and Grushin spaces.

problem Finding solutions to p-Laplace equations with drift terms in specific geometric spaces.
method Analyzing fundamental solutions in the Heisenberg group and Grushin-type planes.
result Natural generalizations of Beals, Gaveau, and Greiner's solutions for the Laplace equation with drift term.

Study geodesics on Grushin spaces, proving upper bounds on conjugate times.

problem Classify geodesics on higher-dimensional Grushin spaces.
method Solve Hamilton's equations using calculus of generalized trigonometric functions, analyze symmetries, and use density arguments.
result Prove a conjectured cut time provides an upper bound on conjugate times.

Study geometric quantum confinement on special incomplete Riemannian manifolds.

problem Characterize quantum confinement on Grushin-type manifolds.
method Constant-fibre direct integral scheme combined with Weyl's analysis.
result Fully characterizes essential self-adjointness of Laplace-Beltrami operator.

New sub-Riemannian spaces with boundary meet curvature-dimension condition.

problem Finding sub-Riemannian manifolds with boundary satisfying curvature-dimension condition.
method Constructing specific sub-Riemannian structures on half-spaces and hemispheres.
result Provided new examples of sub-Riemannian manifolds with boundary that meet RCD(K,N)\mathsf{RCD}(K , N) condition.

The paper explores self-adjointness of Laplace-Beltrami operator on special geometric manifolds.

problem Characterizing self-adjoint extensions of the Laplace-Beltrami operator on αα-Grushin manifolds.
method Introducing an exotic calculus of pseudodifferential operators adapted to the geometry of the singularity.
result Criterion for essential self-adjointness and determination of several self-adjoint extensions.

Study shows failure of curvature-dimension conditions on sub-Riemannian manifolds.

problem Failure of curvature-dimension conditions on sub-Riemannian manifolds.
method Proves failure of curvature-dimension conditions using tangent isometries and Killing vector fields.
result Proves failure of curvature-dimension conditions on sub-Riemannian manifolds.

The Heston model is a popular stock price model with stochastic volatility that has found numerous applications in practice. In the present paper, we study the Riemannian distance function associated with the Heston model and obtain explicit formulas for this function using geometrical and analytical methods. Geometric…

2013-02-10abs ↗pdf ↗

Study on heat flow across two half-lines with special boundary conditions.

problem Low energy mode of heat flow transmission across a Grushin-type cylinder.
method Analysis of heat equation with inverse-square potential and bridging boundary conditions.
result First insight into qualitative features of the heat flow solution at later times.

The study proves sub-Riemannian manifolds cannot satisfy CD\mathrm{CD} conditions unless they are Riemannian.

problem Characterizing sub-Riemannian manifolds that satisfy CD\mathrm{CD} conditions.
method Analysis of tangent cones and geodesics, construction of new RCD\mathrm{RCD} structures.
result Sub-Riemannian manifolds are never CD(K,N)\mathrm{CD}(K,N) unless they are Riemannian.

We study Monge's optimal transportation problem, where the cost is given by optimal control cost. We prove the existence and uniqueness of an optimal map under certain regularity conditions on the Lagrangian, absolute continuity of the measures with respect to Lebesgue, and most importantly the absence of sharp abnorma…

2007-10-01abs ↗pdf ↗

Extensions of Brownian motion to singular surfaces are studied.

problem Diffusion across singularities on surfaces.
method One-parameter family of Grushin-type singularities, heat crossing analysis, isometry group respect, Bessel processes.
result Complete description and classification of diffusions for various singularity cases.

New Weyl's laws discovered for compact spaces with Ricci curvature bounds.

problem Understanding growth rates of eigenvalues in compact spaces with Ricci curvature constraints.
method Developed new properties of α\alpha-Grushin halfplanes and analyzed singular sets of null capacities.
result Established Weyl's laws with power growth and logarithmic corrections for compact spaces.

New theorem on embedding Moebius bands in 3D space.

problem Proving the impossibility of placing uncountably many disjoint Moebius bands in 3D space.
method Generalization of Grushin and Palamodov's result to tame subsets in R^N and arbitrary topological embeddings in R^3.
result The impossibility of embedding uncountably many pairwise disjoint Moebius bands in 3D space, even for arbitrary topological embeddings.

The paper uses singularity theory to find normal forms for sub-Riemannian exponential maps.

problem Finding normal forms near critical points of sub-Riemannian exponential maps.
method Singularity theory applied to sub-Riemannian structures.
result Normal forms for sub-Riemannian exponential maps in specific cases.

Study spectral properties of sub-Riemannian Laplacians, proving quantum ergodicity and heat kernel asymptotics.

problem Spectral properties of sub-Riemannian Laplacians.
method Quantum ergodicity results, small-time asymptotics of sub-Riemannian heat kernels, Weyl law.
result Weyl law and spectral concentration on Lie brackets of length r-1.

For a sub-Riemannian manifold provided with a smooth volume, we relate the small time asymptotics of the heat kernel at a point yy of the cut locus from xx with roughly "how much" yy is conjugate to xx. This is done under the hypothesis that all minimizers connecting xx to yy are strongly normal, i.e.\ all pieces…

2012-01-14abs ↗pdf ↗

Two-dimensional almost-Riemannian structures are generalized Riemannian structures on surfaces for which a local orthonormal frame is given by a Lie bracket generating pair of vector fields that can become collinear. Generically, the singular set is an embedded one dimensional manifold and there are three type of point…

2011-05-24abs ↗pdf ↗

Quantitative estimates for inequalities on sub-Riemannian manifolds.

problem Quantitative estimates for LpL^p-Poincaré and log-Sobolev inequalities on sub-Riemannian manifolds.
method Introducing the Quasi Curvature-Dimension condition and applying it to various sub-Riemannian manifolds.
result Established quantitative estimates independent of the dimension on various sub-Riemannian manifolds.

The paper explores solutions to the distributional Bellman equation in reinforcement learning.

problem Distributional reinforcement learning considers complete return distributions, not just expected returns.
method Study existence and uniqueness of solutions to general distributional Bellman equations, linking them to multivariate affine equations.
result Any solution to a distributional Bellman equation can be derived from a multivariate affine distributional equation.

Proposes vMF distribution for skewed elliptical distributions.

problem Skewed distributions not adequately modeled by symmetric distributions.
method Introduces von-Mises-Fisher (vMF) distribution to represent skewed elliptical distributions.
result vMF distribution provides an explicit and simple probability representation of skewed elliptical distributions.

This paper examines how the choice of prior distribution affects likelihoods of out-of-distribution inputs in deep generative models.

problem Mismatch between prior and data distributions causes deep generative models to assign higher likelihoods to out-of-distribution inputs.
method Proposes using a mixture distribution as a prior to make likelihoods of out-of-distribution inputs more sensitive.
result A mixture prior lowers the out-of-distribution likelihood with respect to real image data sets.

New constrained mixtures create asymmetric distributions for better modeling.

problem Creating better models for asymmetric data.
method Introducing constrained mixtures to create generalized asymmetric versions of continuous distributions.
result Asymmetric distributions provide higher likelihood and less entropy in real-world applications.

New wealth distribution model based on κκ-deformation of Gamma distribution.

problem Modeling wealth distribution in heterogeneous kinetic exchange models.
method Proposed a new four-parameter statistical distribution based on κκ-deformation of the Generalized Gamma distribution.
result The new distribution accurately represents wealth distribution in heterogeneous kinetic exchange models.

This study suggests replacing Ising distribution with Cox distribution.

problem Handling correlated binary data efficiently.
method Exploring conditions for replacing Ising distribution with Cox distribution as a latent variable model.
result The Ising distribution can be treated as a latent variable model with a quasi-normal distribution.

New algorithms for learning under s-concave distributions, including Pareto and t-distributions.

problem Learning under broad and natural generalizations of log-concave distributions, including fat-tailed ones.
method Introduce new convex geometry tools to study ss-concave distributions and use these properties to provide bounds on learning quantities.
result Significantly generalize prior results for margin-based, disagreement-based, and passive learning of intersections of halfspaces.