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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.

168,657 papers · 148 categories

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71143214285 · Jun 202019922001200920172026
48 results for physical metrics

Framework analyzes physical metrics in soccer to link performance with value.

problem Understanding and quantifying the value of physical performance in soccer.
method Estimating physical indicators from tracking data, contextualizing runs, linking with possession-value model.
result Physical performance correlates with value generation in soccer.

Study physical work done by isotropic vector forces along isotropic curves.

problem Investigate physical work done by isotropic vector forces.
method Analyze forces represented by isotropic vectors acting along isotropic curves on a manifold with specific metric structures.
result Calculate the work done by isotropic vector forces along isotropic curves.

The author exposes the metrical multi-time Lagrange geometry of physical fields which naturally generalizes the classical Lagrangian developped by Miron and Anastasiei. In other words, one constructs a natural theory of physical fields on the 1-jet fibre bundle, attached to a Kronecker h-regular multi-time Lagrangian w…

2000-09-12abs ↗pdf ↗

3D models vulnerable to adversarial attacks, new method improves success rate and naturalness.

problem Vulnerability of 3D deep learning models to adversarial examples in the physical world.
method ε-isometric (εε-ISO) attack considering geometric properties and invariance to physical transformations.
result Significantly improved attack success rate and naturalness of 3D adversarial examples.

New score helps choose PIML model parameters, reducing ambiguity in model quality.

problem Ambiguity in measuring model quality in PIML due to multi-objective fitting.
method Introduces Physics-Informed Log Evidence (PILE) score in Gaussian process framework.
result PILE minimizes ambiguity in model selection, improving hyperparameter choices.

Unconstrained models learn physical symmetries effectively with simple data augmentation.

problem Ensuring physical symmetries in machine learning models.
method Rigorous metrics to measure symmetry content, data augmentation strategy, architectural analysis.
result Unconstrained models can learn approximate equivariant behavior with simple data augmentation.

Dataset of Bose-Einstein condensates images aids ML in many-body physics.

problem Understanding solitons in Bose-Einstein condensates.
method Machine learning (ML) framework with convolutional neural networks and physics-informed classifiers.
result Automatic labeling of solitonic excitations in experimental images.

The study defines conditions for Finsler spacetime structures in (α,β)(α,β)-metrics and identifies their isometries.

problem Conditions for Finsler spacetime structures in (α,β)(α,β)-metrics.
method Established necessary and sufficient conditions for Finsler spacetime structures.
result Identified (α,β)(α,β)-Finsler spacetimes and determined the relation between isometries of (α,β)(α,β)-metrics and the underlying pseudo-Riemannian metric.

Physics: Similar long-distance properties can mask vastly different short-distance metrics.

problem Classifying homogeneous metrics on group manifolds by long-distance properties.
method Apply universality concept to geometry, focusing on metrics on Lie groups.
result Many metrics on low-dimensional Lie groups have similar long-distance properties despite differing short-distance properties.

CAMEL enhances manifold embedding and learning with curvature metrics.

problem High-dimensional data classification, dimension reduction, and visualization.
method CAMEL uses a Riemannian manifold with curvature metrics for enhanced expressibility and interpretability.
result CAMEL outperforms state-of-the-art methods on high-dimensional datasets.

The paper studies conformally flat cubic metrics with isotropic curvature, finding they must be Minkowski.

problem Understanding conformal properties of cubic metrics with isotropic scalar curvature.
method Analyzing the conformal flatness and isotropic scalar curvature of cubic metrics.
result Cubic metrics with weakly isotropic scalar curvature must be Minkowski metrics.

A spacetime is a connected 4-dimensional semi-Riemannian manifold endowed with a metric gg with signature (+++)(- + + +). The geometry of a spacetime is described by the metric tensor gg and the Ricci tensor SS of type (0,2)(0, 2) whereas the energy momentum tensor of type (0,2)(0,2) describes the physical contents of the sp…

2014-01-24abs ↗pdf ↗

Study local topological constraints on Berry curvature in spin-orbit coupled Bose-Einstein condensates.

problem Understanding local topological obstructions to flattening Berry curvature in spin-orbit-coupled Bose-Einstein condensates.
method Adapting Pigazzini-Toda lower bound to Kaluza-Klein setting, analyzing harmonic part of torsion 3-form, and using exact pointwise curvature analysis.
result Obstruction kernel vanishes, preventing complete gauging-away of Berry phases even at zero net topological charge.

An important tool in the study of conformal geometry, and the AdS/CFT correspondence in physics, is the Fefferman-Graham expansion of conformally compact Einstein metrics. We show that conformally compact metrics satisfying a generalization of the Einstein equation, Poincare-Lovelock metrics, also have Fefferman-Graham…

2019-01-08abs ↗pdf ↗

The notion of quasi-Einstein metric in physics is equivalent to the notion of Ricci soliton in Riemannian spaces. Quasi-Einstein metrics serve also as solution to the Ricci flow equation. Here, the Riemannian metric is replaced by a Hessian matrix derived from a Finsler structure and a quasi-Einstein Finsler metric is …

2014-06-01abs ↗pdf ↗

One considers a special class of PDEs systems and one determines the associated symmetry group. Particulary, for the Blair system, one finds the symmetry group. A solutions of the Blair system gives a conformally flat contact metric structure and also it defines a "force-free" model of solar physics. By using the symme…

1999-10-26abs ↗pdf ↗

We investigate connections between pairs of (pseudo-)Riemannian metrics whose sum is a (tensor) product of a covector field with itself. A bijective mapping between the classes of Euclidean and Lorentzian metrics is constructed as a special result. The existence of such maps on a differentiable manifold is discussed. S…

1998-02-22abs ↗pdf ↗

Yau proved an existence theorem for Ricci-flat Kähler metrics in the 1970's, but we still have no closed form expressions for them. Nevertheless there are several ways to get approximate expressions, both numerical and analytical. We survey some of this work and explain how it can be used to obtain physical predictions…

2015-03-10abs ↗pdf ↗

In this short Note we would like to bring into the attention of people working in General Relativity a Schwarzschild like metric found by Professor Cleopatra Mociuţchi in sixties. It was obtained by the A. Sommerfeld reasoning from his treatise "Elektrodynamik" but using instead of the energy conserving law from the cl…

2011-04-20abs ↗pdf ↗

In the space U4\mathbb U^4 of cubic forms of surfaces, regarded as a GG-space and endowed with a natural invariant metric, the ratio of the volumes of those representing umbilic points with negative to those with positive indexes is evaluated in terms of the asymmetry of the metric, defined here. A connection of this …

2003-05-13abs ↗pdf ↗

A new mathematical approach to general covariance using stacks and Lie algebras.

problem Understanding general covariance in curved spacetime field theories.
method Using stacks and groupoids to study the quotient of metrics modulo diffeomorphism, and analyzing the tangent complex and Lie algebra actions.
result Recovering a novel expression for the stress-energy tensor in scalar field theories.

Work maximization guides machine learning models in adaptive systems.

problem How machine learning models can be optimized for thermodynamic efficiency.
method Introducing thermodynamic principle to compare with maximum-likelihood principle.
result Maximum-work models are equivalent to maximum-likelihood models in adaptive systems.

Physics-informed IFT models physical systems with uncertainty, independent of numerical schemes.

problem Modeling physical systems with unknown elements like missing parameters and noisy data.
method Physics-informed Information Field Theory (PIFT) that combines measurements with physical laws, independent of numerical schemes.
result PIFT can capture multiple modes and solve ill-posed problems, robust to model-form uncertainty.

Paper constructs exotic spacetimes with same physical properties.

problem Whether two topologically identical manifolds can have different geometries.
method Computational approach to produce physical models on exotic spheres.
result Lorentzian metrics on homeomorphic but not diffeomorphic manifolds with same physical properties.

The paper developes a geometrization of a Kronecker hh-regular vertical fundamental metrical d-tensor G(i)(j)(α)(β)G^{(α)(β)}_{(i)(j)} on the jet fibre bundle of order one J1(T,M)J^1(T,M). This geometrization gives a mathematical model for both gravitational and electromagnetic field theory, in a general setting. In this context, the…

2000-11-01abs ↗pdf ↗

For (2+2)-dimensional nonholonomic distributions, the physical information contained into a spacetime (pseudo) Riemannian metric can be encoded equivalently into new types of geometric structures and linear connections constructed as nonholonomic deformations of the Levi-Civita connection. Such deformations and induced…

2009-02-05abs ↗pdf ↗

We discuss the existence of Killing tensors for certain (physically motivated) stationary and axially symmetric vacuum space-times. We show nonexistence of a nontrivial Killing tensor for a Tomimatsu-Sato metric (up to valence 7), for a C-metric (up to valence 9) and for a Zipoy-Voorhees metric (up to valence 11). The …

2016-02-29abs ↗pdf ↗

The projective algebra p(M;F) (i.e the collection of all projective vector fields)of a Finsler space (M;F) is a finite-dimensional Lie algebra with respect to the usual Lie bracket. The projective algebra of Einstein metrics has been perpetually studied from physical and geometrical approaches. Here, the projective alg…

2011-09-13abs ↗pdf ↗

Recent links between Finsler Geometry and the geometry of spacetimes are briefly revisited, and prospective ideas and results are explained. Special attention is paid to geometric problems with a direct motivation in Relativity and other parts of Physics.

2013-11-19abs ↗pdf ↗

We give a ``physics proof'' of a conjecture made by the first author at Strings 2005, that the moduli spaces of certain conformal field theories are finite volume in the Zamolodchikov metric, using an RG flow argument.

2005-09-29abs ↗pdf ↗

I discuss certain applications of the Ricci flow in physics. I first review how it arises in the renormalization group (RG) flow of a nonlinear sigma model. I then review the concept of a Ricci soliton and recall how a soliton was used to discuss the RG flow of mass in 2-dimensions. I then present recent results obtain…

2007-08-16abs ↗pdf ↗

H. Weyl's proposal of 1918 for generalizing Riemannian geometry by local scale gauge (later called {\em Weyl geometry}) was motivated by mathematical, philosophical and physical considerations. It was the starting point of his unified field theory of electromagnetism and gravity. After getting disillusioned with this r…

2019-11-05abs ↗pdf ↗

We give a physical explanation of the Kontsevich-Soibelman wall-crossing formula for the BPS spectrum in Seiberg-Witten theories. In the process we give an exact description of the BPS instanton corrections to the hyperkahler metric of the moduli space of the theory on R^3 x S^1. The wall-crossing formula reduces to th…

2008-07-29abs ↗pdf ↗