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.

168,657 papers · 148 categories

Trend · papers per month

70141211281 · Jun 202019922001200920172026
48 results for nonatomic Radon measure

We prove that a transversely equicontinuous minimal lamination on a locally compact metric space ZZ has a transversely invariant Radon measure. Moreover if the space ZZ is compact, then the tranversely invariant Radon measure is shown to be unique up to a scaling.

2010-02-01abs ↗pdf ↗

This paper addresses law invariant coherent risk measures and their Kusuoka representations. By elaborating the existence of a minimal representation we show that every Kusuoka representation can be reduced to its minimal representation. Uniqueness -- in a sense specified in the paper -- of the risk measure's Kusuoka r…

2012-10-26abs ↗pdf ↗

Proves bounded subsolution theorem for complex Monge-Ampère equation on compact Hermitian manifolds.

problem Complex Monge-Ampère equation with positive Radon measure on compact Hermitian manifolds.
method Proves bounded subsolution theorem.
result Establishes bounded subsolution theorem for complex Monge-Ampère equation.

Sharp estimates for Bergman metrics derived from Kähler quantization.

problem Estimating Bergman metrics in Kähler quantization.
method Upper and lower bounds on the Bergman metric expressed in terms of φ\varphi.
result Optimal C1,1ˉC^{1,\bar1}-convergence for quantization of Kähler currents.

The study defines divergence for multivector fields on infinite-dimensional manifolds.

problem Defining divergence for multivector fields on infinite-dimensional manifolds.
method Definition of divergence consistent with finite-dimensional geometry, properties transferred from finite to infinite dimensions.
result Natural properties of divergence are preserved in infinite dimensions.

New model estimates indoor radon distribution with higher spatial resolution.

problem Accurate estimation of indoor radon concentration for health assessment.
method Quantile regression forest and probabilistic Monte Carlo sampling.
result Approximate lognormal distribution of indoor radon in Germany with specific exceedance probabilities.

A new metric HSW derived from hierarchical Radon Transform addresses computational bottlenecks in sliced Wasserstein.

problem Computational inefficiency of sliced Wasserstein in high-dimensional settings with few supports.
method Hierarchical Radon Transform (HRT) and bottleneck projections to reduce projection number.
result HSW metric derived from HRT is computationally efficient and maintains metric properties.

The paper studies invariant measures for specific actions in algebraic groups.

problem Investigating invariant measures for horospherical actions and Anosov groups.
method Analyzing the space of invariant measures for NMNM-actions on Γ\GΓ\backslash G.
result The space of invariant measures is homeomorphic to RextrankG1{\mathbb R}^{ ext{rank}\,G-1}.

Study measures invariant under horospherical subgroups for finitely generated Kleinian groups.

problem Investigating measures invariant under horospherical subgroups for finitely generated Kleinian groups.
method Combining results from Landesberg and Lindenstrauss with 3-manifold theory, including the Tameness Theorem.
result Identified all Radon measures on quotient space that are ergodic and invariant under horospherical subgroup.

The paper explores properties of the Radon transform in relation to neural networks and ridges.

problem Understanding the Radon transform and its application to neural networks and ridges.
method Investigates properties of the Radon transform, introduces new subspaces, and characterizes ridges for any distributional profile.
result Clarifies and simplifies results on the optimality of ReLU networks using the Radon transform.

Extends Gaussian process theory to Banach spaces.

problem Extending Gaussian process theory to Banach spaces.
method Investigates the connection between Gaussian processes and Gaussian random elements in reproducing kernel Banach spaces.
result Characterizes positive definite functions that arise from covariance operators in Banach space setting.

Study stationary measures and orbit closures for non-abelian actions on surfaces.

problem Classify stationary measures and orbit closures for non-abelian action on a surface.
method Use a finite verifiable average growth condition and results from Brown and Rodriguez Hertz.
result Show that under certain conditions, the only nonatomic stationary measure is the given smooth invariant measure, and every orbit closure is either finite or dense.

There has been growing recent interest in probabilistic interpretations of kernel-based methods as well as learning in Banach spaces. The absence of a useful Lebesgue measure on an infinite-dimensional reproducing kernel Hilbert space is a serious obstacle for such stochastic models. We propose an estimation model for …

2013-10-17abs ↗pdf ↗

Neural networks with ReLU^k approximate Sobolev functions efficiently via Radon transform.

problem Approximating functions from Sobolev spaces using shallow ReLU^k neural networks.
method Utilizing the Radon transform and discrepancy theory, we provide nearly optimal approximation rates.
result Optimal approximation rates for smoothness up to order s = k + (d+1)/2.

Problems of interpolation, classification, and clustering are considered. In the tenets of Radon--Nikodym approach f(x)ψ2/ψ2\langle f(\mathbf{x})ψ^2 \rangle / \langleψ^2\rangle, where the ψ(x)ψ(\mathbf{x}) is a linear function on input attributes, all the answers are obtained from a generalized eigenproblem $|f|ψ^{[i]}\rangle =…

2019-06-02abs ↗pdf ↗

This research explains why SGD generalizes better than ADAM in deep learning.

problem Understanding the generalization gap between SGD and ADAM in deep learning.
method Analyzing local convergence behaviors through Levy-driven stochastic differential equations (SDEs).
result SGD is more locally unstable and better escapes from sharp minima to flatter ones, leading to better generalization.

Study invariant measures on measured laminations for subgroups of mapping class group.

problem Classify invariant Radon measures on space of measured laminations for subgroups of mapping class group.
method Geometric approach, focusing on recurrent measured laminations, explicitly constructing ergodic measures.
result Show uniquely ergodic for divergence-type subgroups, generalize results for full mapping class group.

Develops a new algebraic framework for differential geometry of infinite dimensional spaces.

problem Creating a differential geometry for infinite dimensional spaces without topology or local coordinates.
method Introduces a general algebraic framework for lifted geometry applicable to various infinite dimensional spaces.
result Stokes' Theorem appears as a form of differentiability in the lifted geometry of spaces of submanifolds.

We interpret the setting for a Radon transform as a submanifold of the space of generalized functions, and compute its extrinsic curvature: it is the Hessian composed with the Radon transform.

1992-10-01abs ↗pdf ↗

This paper studies Brownian motion and heat kernel measure on a class of infinite dimensional Lie groups. We prove a Cameron-Martin type quasi-invariance theorem for the heat kernel measure and give estimates on the LpL^p norms of the Radon-Nikodym derivatives. We also prove that a logarithmic Sobolev inequality holds …

2009-02-14abs ↗pdf ↗

Uniform convergence of metrics on surfaces with bounded curvature measures proved.

problem Proving uniform convergence of metrics on Alexandrov surfaces with bounded integral curvature.
method Weak convergence of measures and analytic approximation of metrics.
result Uniform convergence of metrics on Alexandrov surfaces proved.

Paper revisits Black-Scholes model, proving solution existence and measuring market uncertainty.

problem Proving existence of solution in inverse Black-Scholes model.
method Rigorous proof and empirical study using finite element method.
result New measure of market uncertainty developed.

In this paper, we extend the DC Calculus introduced by Perelman on finite dimensional Alexandrov spaces with curvature bounded below. Among other things, our results allow us to define the Hessian and the Laplacian of DC functions (including distance functions as a particular instance) as a measure-valued tensor and a …

2015-05-18abs ↗pdf ↗

Study utility maximization with delayed information in continuous time Gaussian markets.

problem Maximizing utility with delayed information in continuous time Gaussian markets.
method Purely probabilistic approach based on Radon-Nikodym derivatives of Gaussian measures.
result Solution for optimal control and value in a specific Gaussian framework.

This revisit gives a survey on the analytical methods for the inverse exponential Radon transform which has been investigated in the past three decades from both mathematical interests and medical applications such as nuclear medicine emission imaging. The derivation of the classical inversion formula is through the re…

2020-02-05abs ↗pdf ↗

Paper introduces S3W distance for spherical probability distributions.

problem Comparing spherical probability distributions efficiently and accurately.
method S3W distance using stereographic projection and generalized Radon transform.
result Extensive theoretical analysis and evaluation of S3W performance.

Developed new Crofton formulas for pseudo-Riemannian spaces.

problem Computing volumes and curvature integrals in pseudo-Riemannian space forms.
method Introduced Crofton formulas using distributions and Alesker's Radon transform.
result Explicit Crofton formulas for all isometry-invariant valuations on pseudo-Riemannian spaces.

We define Radon transform and its inverse on the two-dimensional anti-de Sitter space over local fields using a novel construction through a quadratic equation over the local field. We show that the holographic bulk reconstruction of quantum fields in this space can be formulated as the inverse Radon transform, general…

2018-05-18abs ↗pdf ↗

We estimate Radon-Nikodym derivatives using regularization in reproducing kernel Hilbert spaces.

problem Estimating Radon-Nikodym derivatives in various applications.
method General regularization scheme in reproducing kernel Hilbert spaces.
result High order accuracy in reconstructing Radon-Nikodym derivatives at any point.

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.

Extends SW and GSW to compare heterogeneous joint distributions.

problem Limited applicability of SW and GSW to heterogeneous joint distributions.
method Introduces HHRT and PGRT to extend SW and GSW.
result H2SW distance for heterogeneous joint distributions.

We show that the Radon transform related to closed geodesics is injective on a Lie group if and only if the connected components are not homeomorphic to S1S^1 nor to S3S^3. This is true for both smooth functions and distributions. The key ingredients of the proof are finding totally geodesic tori and realizing the Rado…

2014-10-08abs ↗pdf ↗

If GG is a finite group, is a function f:GCf:G\to\mathbb C determined by its sums over all cosets of cyclic subgroups of GG? In other words, is the Radon transform on GG injective? This inverse problem is a discrete analogue of asking whether a function on a compact Lie group is determined by its integrals over all ge…

2014-11-14abs ↗pdf ↗