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

22446587 · Jun 202019922001200920172026
48 results for nonhomogeneous speed

The paper studies how convex hypersurfaces in hyperbolic space evolve under a specific curvature flow.

problem Volume preserving Gauss curvature flow in hyperbolic space.
method Analyzes a flow of smooth, closed, and convex hypersurfaces in hyperbolic space with a nonhomogeneous speed function.
result The flow remains convex, exists for all time, and converges to a geodesic sphere exponentially.

The article extends previous work on contracting convex hypersurfaces by nonhomogeneous curvature functions.

problem Contraction of convex hypersurfaces by nonhomogeneous functions of curvature.
method Extending previous results to various cases, showing convergence to asymptotically round points under pinching conditions.
result Convergence to asymptotically round points under suitable rescaling and pinching conditions.

We present simple examples of finite-dimensional connected homogeneous spaces (they are actually topological manifolds) with nonhomogeneous and nonrigid factors. In particular, we give an elementary solution of an old problem in general topology concerning homogeneous spaces.

2012-03-19abs ↗pdf ↗

New methods improve estimation of nonhomogeneous Poisson processes from limited data.

problem Estimating nonhomogeneous Poisson processes from limited data.
method Formulated as a learning generalization problem, proposed adaptive and data-driven binning methods.
result Improved estimation of nonhomogeneous Poisson processes with limited data.

Novel unsupervised MIG detectors improve signal detection in cluttered environments.

problem Signal detection in nonhomogeneous clutter environments.
method Developed novel discriminative MIG detectors using HPD matrices and geometric measures.
result Improved signal detection performance compared to conventional methods.

Let f,g:RRf,g:{\Bbb R}\to{\Bbb R} be integrable functions, ff nowhere zero, and φ(u)=du/f(u)φ(u)=\int du/f(u) be invertible. An exact solution to the generalized nonhomogeneous inviscid Burgers' equation ut+g(u).ux=f(u)u_t+g(u).u_x=f(u) is given, by quadratures.

2009-08-25abs ↗pdf ↗

The study examines evolving star-shaped hypersurfaces in hyperbolic spaces, influenced by ambient geometry.

problem Evolution of star-shaped hypersurfaces in hyperbolic spaces.
method Nonhomogeneous expanding curvature flows in hyperbolic spaces.
result The asymptotic behavior of the flow depends on the ambient space's geometry, leading to different limiting metrics.

Genetic sequence data are well described by hidden Markov models (HMMs) in which latent states correspond to clusters of similar mutation patterns. Theory from statistical genetics suggests that these HMMs are nonhomogeneous (their transition probabilities vary along the chromosome) and have large support for self tran…

2016-11-02abs ↗pdf ↗

We deal with compact Kaehler manifolds M which are acted on by a semisimple compact Lie group G of isometries with codimension one regular orbits. We provide an explicit description of the standard blow-ups of such manifolds along complex singular orbits, in case b_1(M) = 0 and the regular orbits are Levi nondegenerate…

2001-01-21abs ↗pdf ↗

Consider LL a regular Lagrangian, SS the canonical semispray, and hh the horizontal projector of the canonical nonlinear connection. We prove that if the Lagrangian is constant along the integral curves of the Euler-Lagrange equations then it is constant along the horizontal curves of the canonical nonlinear connect…

2005-07-27abs ↗pdf ↗

The study proves the existence of kk-convex hypersurfaces for specific curvature equations.

problem Proving the existence of kk-convex hypersurfaces for Hessian curvature equations.
method Combining a priori estimates with the continuity method, and establishing a constant rank theorem.
result Existence and uniqueness of kk-convex hypersurfaces for both nonhomogeneous and homogeneous Hessian curvature equations.

This paper is dedicated to the Orlicz-Petty bodies. We first propose the homogeneous Orlicz affine and geominimal surface areas, and establish their basic properties such as homogeneity, affine invariance and affine isoperimetric inequalities. We also prove that the homogeneous geominimal surface areas are continuous, …

2016-11-14abs ↗pdf ↗

Hua domain, named after Chinese mathematician Loo-Keng Hua, is defined as a domain in Cn\mathbb{C}^{n} fibered over an irreducible bounded symmetric domain ΩCd  (d<n)Ω\subset \mathbb{C}^{d}\;(d<n) with the fiber over zΩz\in Ω being a (nd)(n-d)-dimensional generalized complex ellipsoid Σ(z)Σ(z). In general, a Hua domain is a nonhom…

2014-11-12abs ↗pdf ↗

We introduce and study generalized 11-harmonic equations (1.1). Using some ideas and techniques in studying 11-harmonic functions from [W1] (2007), and in studying nonhomogeneous 11-harmonic functions on a cocompact set from [W2, (9.1)] (2008), we find an analytic quantity ww in the generalized 11-harmonic equatio…

2010-11-13abs ↗pdf ↗

New insights into (2,3,5)(2,3,5)-distributions via Legendrian curves.

problem Understanding symmetries of (2,3,5)(2,3,5)-distributions.
method Exploiting a correspondence between distributions and lines on contact manifolds.
result One-to-one correspondence between equivalence classes of (2,3,5)(2,3,5)-distributions and Legendrian curves.

Exploiting the fact that most arrival processes exhibit cyclic behaviour, we propose a simple procedure for estimating the intensity of a nonhomogeneous Poisson process. The estimator is the super-resolution analogue to Shao 2010 and Shao & Lii 2011, which is a sum of pp sinusoids where pp and the frequency, amplitud…

2016-10-30abs ↗pdf ↗

In a number of physically important cases, the nonholonomically (nonintegrable) constrained Ricci flows can be modelled by exact solutions of Einstein equations with nonhomogeneous (anisotropic) cosmological constants. We develop two geometric methods for constructing such solutions: The first approach applies the form…

2007-05-05abs ↗pdf ↗

Cyclical MCMC tackles high-dimensional multimodal distributions, showing convergence under certain conditions.

problem High-dimensional multimodal posterior distributions in deep learning.
method Cyclical MCMC framework that tracks tempered versions of the target distribution over time.
result Cyclical MCMC converges to the target distribution under fast mixing kernels but fails in slow mixing cases.

Exchanges acquire excess processing capacity to accommodate trading activity surges associated with zero-sum high-frequency trader (HFT) "duels." The idle capacity's opportunity cost is an externality of low-latency trading. We build a model of decentralized exchanges (DEX) with flexible capacity. On DEX, HFTs acquire …

2019-07-24abs ↗pdf ↗

This paper establishes for the first time the predictive performance of speed priors and their computational complexity. A speed prior is essentially a probability distribution that puts low probability on strings that are not efficiently computable. We propose a variant to the original speed prior (Schmidhuber, 2002),…

2016-04-12abs ↗pdf ↗

Study shows convergence speed for Fekete points on specific sets.

problem Understanding convergence speed for Fekete points on certain sets.
method Demonstrates (Cα,Cα)(\mathscr{C}^α, \mathscr{C}^{α'})-regularity for uniformly polynomially cuspidal sets.
result Established convergence speed for Fekete points on these sets.

The paper establishes inequalities for convex curves and applies them to lattice point estimates.

problem Estimating the number of lattice points on convex curves.
method Developed comparison theorems for affine curves and used them to estimate areas and lattice points.
result Established inequalities for areas of inscribed triangles in terms of affine curvature and distance.

New analysis shows surprising results on adaptation speed of causal models.

problem Investigate the adaptation speed of causal models under interventions.
method Use convergence rates from stochastic optimization to measure adaptation speed.
result Surprising findings: anticausal model can be faster than causal model under certain conditions.

We consider embedded hypersurfaces evolving by fully nonlinear flows in which the normal speed of motion is a homogeneous degree one, concave or convex function of the principal curvatures, and prove a non-collapsing estimate: Precisely, the function which gives the curvature of the largest interior sphere touching the…

2011-09-10abs ↗pdf ↗

DistPre predicts traffic speeds efficiently for large networks.

problem Fine-grained, accurate speed prediction for large-scale transportation networks.
method Customizes LSTM models on a cluster, sharing trained models between detectors.
result Efficient and accurate fine-grained traffic-speed prediction.