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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.

168,695 papers · 148 categories

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9172634 · May 202619922001200920172026
48 results for curl forces

The paper integrates dissipative and curl forces using geometric methods.

problem Incorporating dissipative forces into curl forces for non-conservative systems.
method Geometric metriplectic approach, Herglotz principle, generalized Euler-Lagrange equation, Galley's method.
result Natural formulations for Lagrangian and Hamiltonian dynamics of non-conservative systems.

Paper introduces a PDE-free method for decomposing forces in any dimension.

problem Analyzing non-conservative forces in arbitrary dimensions.
method Geometric decomposition using homotopy operator and Frobenius theorem.
result Decomposes forces into gradient and antiexact components, characterizing curl forces.

New algorithm for reinforcement learning reduces complexity and guarantees convergence.

problem Reinforcement learning problems with convex occupancy measures.
method MD-CURL, inspired by mirror descent, uses non-standard regularization.
result Achieves convergence guarantees and simple closed-form solution.

CURL uses contrastive learning to improve reinforcement learning performance.

problem Improving reinforcement learning performance on complex tasks.
method Contrastive learning to extract high-level features from raw pixels, followed by off-policy control.
result CURL outperforms prior methods on DeepMind Control Suite and Atari Games.

Paper reveals a surprising connection between curl and Dirac operators on 3-manifolds.

problem Understanding the spectrum and properties of the curl operator on 3-manifolds.
method Relating the curl operator to the Dirac operator on spinc^c structures and proving ellipticity.
result Eigenvalues of curl are always lower bounded by those of the Dirac operator, with equality on the round 3-sphere.

Optimizes metrics for the first curl eigenvalue on 3-manifolds.

problem Finding optimal metrics for minimizing the first curl eigenvalue.
method Analyzes metrics that minimize the first curl eigenvalue among metrics of the same volume in the same conformal class.
result Proves that S3\mathbf{S}^3 and RP3\mathbf{R}P^3 are local minimizers for the first curl eigenvalue.

We consider a contact manifold with a pseudo-Riemannian metric and define a contact vector field intrinsically associated to this pair of structures. We call this new differential invariant the contact Riemannian curl. On a Riemannian manifold, Killing vector fields are those that annihilate the metric; a Killing 11-f…

2013-07-08abs ↗pdf ↗

Contrastive unsupervised representation learning (CURL) is the state-of-the-art technique to learn representations (as a set of features) from unlabelled data. While CURL has collected several empirical successes recently, theoretical understanding of its performance was still missing. In a recent work, Arora et al. (2…

2019-10-10abs ↗pdf ↗

Proves spectral simplicity of Hodge Laplacian and curl operator along metric families.

problem Simplicity of Hodge Laplacian and curl operator eigenvalues along metric families.
method Generalized Teytel's method to compute meagre codimension of metrics with specific eigenvalue multiplicities.
result Simplicity of Hodge Laplacian and curl operator is not a meagre codimension 2 property.

We present a novel approach to adjust global image properties such as colour, saturation, and luminance using human-interpretable image enhancement curves, inspired by the Photoshop curves tool. Our method, dubbed neural CURve Layers (CURL), is designed as a multi-colour space neural retouching block trained jointly in…

2019-11-29abs ↗pdf ↗

The paper derives theorems about curl eigenfields on a 3-sphere using angular momentum theory.

problem Deriving theorems about curl eigenfields on a 3-sphere.
method Using angular momentum theory and spinor hyperspherical harmonics, the paper derives theorems about curl eigenfields on a 3-sphere.
result The paper proves that curl eigenfields with constant norm are proportional to a fundamental eigenfield (Hopf field).

The goal of this paper is to describe and clarify as much as possible the 3-dimensional topology underlying the Helmholtz cuts method, which occurs in a wide theoretic and applied literature about Electromagnetism, Fluid dynamics and Elasticity on domains of the ordinary space. We consider two classes of bounded domain…

2010-01-25abs ↗pdf ↗

We prove the local-in-time well-posedness for the solution of the compressible Euler equations in 33-D, for the Cauchy data of the velocity, density and vorticity $(v,\varrho, \fw) \in H^s\times H^s\times H^{s'}$, 2<s<s2<s'<s. The classical local well-posedness result for the compressible Euler equations in 33-D holds f…

2019-11-12abs ↗pdf ↗

In the year 1968 N.V. Efimov has proven the following remarkable theorem: \textit{Let f:R2R2C1f:\mathbb R^2\to\mathbb R^2\in C^1 be such that detf(x)<0\det f'(x)<0 for all xR2x\in\mathbb R^2 and let there exist a function a=a(x)>0a=a(x)>0 and constants C10C_1\geqslant 0, C20C_2\geqslant 0 such that the inequalities $|1/a(x)-1/a(y)|\leqslant…

2010-10-18abs ↗pdf ↗

We study the spectral properties of curl, a linear differential operator of first order acting on differential forms of appropriate degree on an odd-dimensional closed oriented Riemannian manifold. In three dimensions its eigenvalues are the electromagnetic oscillation frequencies in vacuum without external sources. In…

2017-02-07abs ↗pdf ↗

The paper compares three hypoelliptic Laplacians on a specific 5D Cartan group.

problem Defining suitable hypoelliptic Laplacians for sharp estimates on Carnot groups.
method Introducing and comparing three hypoelliptic Laplacians on a specific Carnot group.
result Sharp div-curl type inequalities for the three hypoelliptic Laplacians.

The paper deals with the possibly degenerate behaviour of the exterior derivative operator defined on 11-forms on metric measure spaces. The main examples we consider are the non self-similar Sierpinski carpets recently introduced by Mackay, Tyson and Wildrick. Although topologically one-dimensional, they may have pos…

2015-05-11abs ↗pdf ↗

Building on previous results on the quadratic helicity in magnetohydrodynamics (MHD) we investigate particular minimum helicity states. Those are eigenfunctions of the curl operator and are shown to constitute solutions of the quasi-stationary incompressible ideal MHD equations. We then show that these states have inde…

2018-06-19abs ↗pdf ↗

Continual learning aims to improve the ability of modern learning systems to deal with non-stationary distributions, typically by attempting to learn a series of tasks sequentially. Prior art in the field has largely considered supervised or reinforcement learning tasks, and often assumes full knowledge of task labels …

2019-10-31abs ↗pdf ↗

Detect anomalies in complex networks using topological subspace detectors.

problem Detect anomalies in complex networks defined by simplicial complexes.
method Formulate a hypothesis testing framework using Neyman-Pearson matched topological subspace detectors.
result Effective detection of anomalies in foreign currency exchange networks and other real-world data.

We use a skein-theoretic version of the Hecke algebras of type A to present three-dimensional diagrammatic views of Gyoja's idempotent elements, based closely on the corresponding Young diagram. In this context we give straightforward calculations for the eigenvalues of two natural central elements in the Hecke algebra…

1997-02-12abs ↗pdf ↗

The main purpose of this paper is to investigate the Schouten-Weyl tensor on the three-dimensional Lie groups with left-invariant Lorenzian metrics. The left-invariant Lorentzian metrics on the three-dimensional Lie groups with squared length zero Schouten-Weyl tensor are studied. Moreover, the three-dimensional metric…

2017-08-22abs ↗pdf ↗

New method uses normalizing flows to improve force fields for coarse-grained molecular dynamics.

problem Lack of reference atomistic forces makes force matching infeasible for MLCG force fields.
method Introduces noise-based kernels adapted to low-data regimes using normalizing flows.
result Flow-based kernels reduce local distortions while preserving global accuracy.

New algorithm efficiently trains machine learning models to atomic forces data.

problem Efficiently training machine learning models to large amounts of force data.
method Developed an efficient algorithm for training machine learning models to all available force data.
result Training to all available force data is only a few times more expensive than training to energies alone.

Improved CG force-field learning from all-atom data.

problem Training accurate coarse-grained models from all-atom simulations is challenging.
method Optimized force mapping to improve statistical efficiency of force-field learning.
result Substantially improved CG force-fields can be learned from the same simulation data.

Proposes linking energy and force uncertainty in deep learning potentials.

problem Uncertainty in predicted energies and forces in machine learning models.
method Introduces a spatially correlated noise process to link energy and force uncertainty.
result Demonstrates the approach on molecular datasets, linking energy and force uncertainties.

We consider a generalization of the notion of a natural mechanical system to the case of additional forces of gyroscopic type. Such forces appear, for example, as a result of global reduction of a natural system with symmetry. We study symmetries in the systems with gyroscopic forces to find out when these systems admi…

2014-02-04abs ↗pdf ↗

In this paper we prove the Poincaré lemma on some nn-dimensional corank 1 sub-Riemannian structures, formulating the (n1)n(n2+3n2)8\frac{(n-1)n(n^2+3n-2)}{8} necessarily and sufficiently 'curl-vanishing' compatibility conditions. In particular, this result solves partially an open problem formulated by Calin and Chang. Our proof …

2017-09-21abs ↗pdf ↗

The paper analyzes errors in mechanical systems with external forces.

problem Error analysis of mechanical systems with external forces.
method Analysis of variational integrators with contact order rr for discrete mechanical systems.
result The contact order of the integrator is the same as the contact order of the original systems.