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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.

168,742 papers · 148 categories

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491317 · Oct 201919922001200920172026
48 results for magnetic confinement

We consider an open domain with a compact boundary in an Euclidean space and a Schroedinger operator with magnetic field on this domain. We give sufficient conditions on the rate of growth of the magnetic field near the boundary which guarantees essential self-adjointness of this operator. From the physical point of vi…

2009-03-04abs ↗pdf ↗

New theorem links symmetries to first integrals in plasma physics.

problem Understanding the relationship between symmetries and first integrals in divergence-free fields.
method Developed a Noether-type Theorem reformulation for three-dimensional divergence-free vector fields.
result Converse of the Noether-type Theorem holds on the toroidal region, proving the existence of flux coordinates.

Deep learning compares turbulence models in plasma physics.

problem Predicting edge plasma turbulence in magnetic fusion reactors.
method Physics-informed deep learning framework for comparing two-fluid and gyrokinetic models.
result Good overall agreement between two-fluid theory and gyrokinetic models in turbulent field fluctuations.

Conditions found for linearizing divergence-free fields on invariant tori.

problem Linearizing divergence-free vector fields on invariant tori.
method Assuming a solution to the cohomological equation and using Bers' results in pseudo-analytic function theory.
result The field BB on SS is either identically zero or nowhere vanishing, with a linearizable form.

Study confined subgroups in groups with contracting elements, showing their growth rate is strictly greater than half of the ambient growth rate.

problem Understanding the growth rate of confined subgroups in groups with contracting elements.
method Through boundary actions, analyzing the Hopf decomposition and quotient growth.
result Confined subgroups have a growth rate strictly greater than half of the ambient growth rate.

CONFINE enhances neural networks' interpretability without sacrificing accuracy.

problem Lack of interpretability in deep neural networks, especially in healthcare.
method CONFINE uses conformal prediction to generate prediction sets with robust uncertainty estimates.
result CONFINE achieves correct efficiency up to 3.3% higher than original accuracy.

New framework shows CC^*-simplicity for groups without certain subalgebras.

problem Characterizing CC^*-simplicity of groups.
method Introducing confined subalgebras and Uniformly Recurrent States.
result A countable discrete group is CC^*-simple if it has no non-trivial amenable confined subalgebras.

Extends confining subset theory to describe hyperbolic actions of solvable groups with higher rank abelianizations.

problem Describing hyperbolic actions of solvable groups with higher rank abelianizations.
method Extends confining subset theory to apply to solvable groups with higher rank abelianizations.
result Complete description of hyperbolic actions of generalized solvable Baumslag-Solitar groups.

Study on membranes under confinement, proving existence and regularity of minimizers.

problem Existence and regularity of minimizers for constrained Helfrich energy.
method Elliptic system analysis, careful study of measure-valued Lagrange multiplier.
result Optimal regularity for solutions throughout branch points, rigid behavior for unit ball minimizers.

Challenge to separate Earth's magnetic field from vehicle's magnetic field for accurate navigation.

problem Separate Earth's magnetic field from vehicle's magnetic field for accurate magnetic navigation.
method Use machine learning (ML) and integrate physics of magnetic navigation (SciML) to remove aircraft magnetic field from total magnetic field.
result A model can be constructed to effectively remove aircraft magnetic field from the dataset.

Neural networks' optimization dynamics are confined to a single basin despite connected basins in the loss landscape.

problem Neural networks' optimization dynamics are confined to a single basin despite connected basins in the loss landscape.
method Identifying entropic barriers arising from the interplay between curvature variations along low-loss paths and noise in optimization dynamics.
result Curvature-induced entropic forces bias noisy dynamics back toward the endpoints, explaining the confinement and connectivity of solutions.

Extends E. Hopf's theorem to magnetic systems without conjugate points.

problem Proving magnetic curvature non-positive for magnetic systems without conjugate points.
method Using magnetic curvature introduced by the first author, proving magnetic flatness conditions.
result Magnetic flatness is a rigid condition with specific metric and curvature properties.

A magnetic field is defined by the property that its divergence is zero in a three dimensional oriented Riemannian manifold. Each magnetic field generates a magnetic flow whose trajectories are curves called as magnetic curves. In this paper, we give a new variational approach to studies the magnetic flow asociated wit…

2013-11-21abs ↗pdf ↗

We consider the problem of minimizing the bending or elastic energy among Jordan curves confined in a given open set ΩΩ. We prove existence, regularity and some structural properties of minimizers. In particular, when ΩΩ is convex we show that a minimizer is necessarily a convex curve. We also provide an example of a…

2015-08-24abs ↗pdf ↗

This paper studies Hamilton-Jacobi equations for magnetic systems with constraints.

problem Understanding dynamics of magnetic systems with geometric constraints.
method Developed Hamilton-Jacobi equations for magnetic systems with nonholonomic constraints.
result Revealed relationships between magnetic structures, constraints, and dynamics.

Study shows finiteness of magnetic hypersurfaces on closed manifolds.

problem Understanding the finiteness of magnetic hypersurfaces on closed manifolds.
method Introduced a dynamical version of the second fundamental form to generalize a previous result.
result Real-analytic negatively ss-curved magnetic systems on closed real-analytic manifolds have only finitely many closed totally ss-magnetic hypersurfaces.

We study the problem of so-called geometric quantum confinement in a class of two-dimensional incomplete Riemannian manifold with metric of Grushin type. We employ a constant-fibre direct integral scheme, in combination with Weyl's analysis in each fibre, thus fully characterising the regimes of presence and absence of…

2018-09-18abs ↗pdf ↗

Study of bound states in quantum layers with confining potentials.

problem Investigating bound states in quantum layers with confining potentials.
method Developed a general approach using parallel coordinates based on the surface but outside its cut locus.
result Discrete eigenvalues exist for certain quantum layers with positive total Gauss curvature.

Physics-informed ML models improve turbulence understanding in fusion plasmas.

problem Improving turbulence modeling in fusion plasma devices.
method Physics-informed deep learning framework constrained by PDEs.
result Direct quantitative comparisons of turbulent fields between theory and gyrokinetic models.

Study of magnetic geodesics on Heisenberg nilmanifolds.

problem Existence and properties of closed magnetic geodesics on Heisenberg nilmanifolds.
method Analyzing conditions for the existence of closed magnetic geodesics on compact quotients of Heisenberg nilmanifolds.
result Existence of contractible closed magnetic geodesics for any energy level below the Mañé critical value.

Study magnetic potentials on Anosov manifolds using spectral data.

problem Recover magnetic potentials from spectral data on Anosov manifolds.
method Utilize principal wave trace invariants and magnetic Schrödinger operator.
result Spectral data uniquely determines magnetic and electric potentials on Anosov manifolds.

In this paper we study rigidity aspects of Zoll magnetic systems on closed surfaces. We characterize magnetic systems on surfaces of positive genus given by constant curvature metrics and constant magnetic functions as the only magnetic systems such that the associated Hamiltonian flow is Zoll, i.e. every orbit is clos…

2019-10-08abs ↗pdf ↗

The paper explores how magnetic systems' spectra can identify metrics and 1-forms.

problem Can the marked magnetic action spectrum of magnetic systems with Anosov flow determine the metric and 1-form?
method The paper addresses this question in two settings: locally for systems with close metrics and 1-forms, and for metrics in the same conformal class.
result The paper answers the question affirmatively in both settings.

Study magnetic flows on 3D contact sub-Riemannian manifolds using Rumin complex.

problem Understanding magnetic flows on 3D contact sub-Riemannian manifolds.
method Introducing horizontal magnetic flows via closed Rumin differential two-forms and analyzing the lifted sub-Riemannian structure.
result Horizontal magnetic flows can be interpreted as geodesic flows on a suitably lifted structure, which is of Engel type when the magnetic field is non-vanishing.

In a three-dimensional Riemannian manifold M that admits a unit Killing vector field ξξ, we regard ξξ as a magnetic vector field. A magnetic Hopf surface is a surface obtained by Lie dragging the magnetic curve with ξξ. Then we characterize Sasakian structure on M from magnetic Hopf surfaces. That is, we show that i…

2019-11-30abs ↗pdf ↗

Researchers compute trace formula for magnetic Laplacian on hyperbolic surfaces.

problem Analyzing the magnetic Laplacian on compact hyperbolic surfaces.
method Computed the trace formula for magnetic Laplacian energies above the Mane critical level.
result Asymptotic behavior of trace formula coefficients near the Mane critical level.