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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.

169,181 papers · 148 categories

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48 results for Helmholtz conditions

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 ↗

Rigidity theorem for spherical sectors in Riemannian manifolds.

problem Rigidity of spherical sectors in Riemannian manifolds under overdetermined conditions.
method Analyzing solutions to the inhomogeneous Helmholtz equation with constant Dirichlet and Neumann boundary conditions.
result Spherical sectors are the only solutions under given conditions.

Extends GP regression to complex Helmholtz problems, improving wavefield inference in brain elastography.

problem Infer complex Helmholtz wavefields from sparse, noisy data.
method Operator-informed Gaussian processes, realifying complex operator into real blocks, using PDE residuals and boundary traces.
result Competitive with finite-difference and neural-network methods, reconstructs brain shear curl field with high correlation.

Modified Gibbs-Helmholtz equation geometric models for thermodynamics.

problem Geometric interpretation of Gibbs-Helmholtz equation in thermodynamics.
method Developed new holonomic and non-holonomic geometric models associated to Gibbs-Helmholtz equation.
result Characterized equivalence between Gibbs-Helmholtz entropy and other entropies.

Study variational submanifolds in Euclidean spaces from dynamical systems.

problem Formulate and solve conditions for variationality of induced systems on submanifolds.
method Employ variational sequence theory on sheaves of differential forms to analyze local and global variationality.
result Solve the problem of existence of variational submanifolds for second-order systems.

The paper proves existence of solutions for Einstein-type elliptic systems on AE manifolds.

problem Analyzing semi-linear systems of partial differential equations motivated by the conformal formulation of Einstein constraint equations.
method Proving existence theorems under suitable conditions, including smallness assumptions on free parameters.
result Existence of far from CMC (near CMC) Yamabe positive (Yamabe non-positive) solutions for charged dust coupled to the Einstein equations.

New findings on Helmholtz equation solutions show exponential growth in constant for three ball inequality.

problem Analyzing solutions of Helmholtz equation on different manifolds.
method Examining the three ball inequality for solutions of Helmholtz equation on Rn\mathbb{R}^n, Sn\mathbb{S}^n, or Hn\mathbb{H}^n.
result The constant in the three ball inequality grows exponentially with the wave number.

Defines a filtration on variational bicomplex for concise functional form conditions.

problem Expressing functional form vanishing conditions concisely.
method Introduces a filtration on the variational bicomplex and studies its properties.
result Graded components of the filtration inherit module structures, simplifying functional form conditions.

In this paper, we present the point symmetry group of three-dimensional homogeneous Helmholtz equation, when we consider the cylindrical coordinate system. In continuation, we present a complete set of functionally independent invariants of the equation along with the form of the general solution provided by these inva…

2009-08-25abs ↗pdf ↗

Global analysis of Helmholtz operators in hyperbolic and spherical geometries.

problem Analyzing fundamental solutions and expansions for Helmholtz operators in Riemannian spaces of constant curvature.
method Global and local analysis, computation of closed-form expressions, asymptotic representations, and Gegenbauer polynomial expansions.
result Unique fundamental solutions on hyperboloids due to their decay at infinity, and Gegenbauer polynomial expansions for fundamental solutions on hyperspheres and hyperboloids.

Decomposes financial networks to reveal cause-effect hierarchies during crises.

problem Complex financial networks are hard to interpret due to Granger causality.
method Helmholtz-Hodge-Kodaira decomposition to separate networks into rotational and gradient components.
result Precious metals and pharmaceutical products are identified as causal drivers during crises.

We discuss the problem of the existence of a regular invariant Lagrangian for a given system of invariant second-order differential equations on a Lie group GG, using approaches based on the Helmholtz conditions. Although we deal with the problem directly on TGTG, our main result relies on a reduction of the system on…

2008-01-30abs ↗pdf ↗

Neural operators improve solving Helmholtz equation for various wave speeds.

problem Neural operators struggle with out-of-distribution scenarios for high-frequency waves.
method Proposed a subfamily of neural operators with stochastic depth for enhanced approximation of the Helmholtz equation.
result Neural operators with stochastic depth outperform standard models in out-of-distribution scenarios.

New method learns flexible posterior distributions in generative models.

problem Learning accurate posterior distributions in hierarchical latent-variable models.
method Distributed distributional code Helmholtz machine with an extended wake-sleep algorithm.
result Outperforms state-of-the-art methods on various datasets.

NOHD optimizes multi-agent systems by decomposing dynamics into irrotational and solenoidal components.

problem Non-stationarity and conflicting interests in multi-agent learning problems.
method NOHD (Newton Optimization on Helmholtz Decomposition) decomposes system dynamics into irrotational and solenoidal components.
result NOHD ensures quadratic convergence in purely irrotational and solenoidal systems and attracts to stable fixed points in general multi-agent systems.

A new method splits surface flow discretizations into streamfunctions and harmonic fields.

problem Discretizing incompressible flows on surfaces with pressure and saddle-point structure.
method Discrete Helmholtz-Hodge decomposition for BDM elements on surfaces.
result Eliminates pressure and saddle-point structure, ensuring exact tangentiality and divergence-freeness.

Recent research connects Hörmander's old work to modern boundary Laplacian analysis.

problem How close is the Dirichlet-to-Neumann map to the boundary Laplacian?
method Investigates techniques from Hörmander's 1950s manuscript to solve modern boundary Laplacian problems.
result Obtained results for DtN maps on non-smooth boundaries, Helmholtz equation, and differential forms.

The Funk-Minkowski transform and spherical convolution reconstruct functions and vector fields on the sphere.

problem Reconstructing functions and vector fields on the sphere using Funk-Minkowski transform and Hilbert type spherical convolution.
method Inversion formula for Funk-Minkowski transform and Helmholtz-Hodge decomposition solution using spherical convolution.
result Complete reconstruction of functions and vector fields on the sphere.

We discuss intrinsic aspects of Krupka's approach to finite-order variational sequences. We give intrinsic isomorphisms of the quotient subsheaves of the short finite-order variational sequence with sheaves of forms on jet spaces of suitable order, obtaining a new finite-order (short exact) variational sequence which i…

2000-01-05abs ↗pdf ↗

Efficient unsupervised training and inference in deep generative models remains a challenging problem. One basic approach, called Helmholtz machine, involves training a top-down directed generative model together with a bottom-up auxiliary model used for approximate inference. Recent results indicate that better genera…

2015-06-12abs ↗pdf ↗

We consider the regularity of an interface between two incompressible and inviscid fluids flows in the presence of surface tension. We obtain local in time estimates on the interface in H32k+1H^{\frac32k +1} and the velocity fields in H32kH^{\frac32k}. These estimates are obtained using geometric considerations which show th…

2006-09-20abs ↗pdf ↗

The paper explores indeterminacy in latent factor projections and its implications for data representation.

problem Indeterminacy in latent factor projections and its implications for data representation.
method Analyzes the fundamental problem of indeterminacy in latent factor projections and discusses its implications for data representation.
result Latent factor determinacy across all facets is achieved when the feature-dimension grows to infinity.

Study non-local isoperimetric energies on spheres using a Riemannian autocorrelation function.

problem Analyse non-local isoperimetric energies on spheres.
method Introduce Riemannian autocorrelation function and use it to reformulate and compute the energies.
result Show that the non-local isoperimetric energies can be reformulated and computed using the Riemannian autocorrelation function.

Gaussian processes improved for ocean current reconstruction and divergence identification.

problem Reconstructing ocean currents from sparse buoy data.
method Proposed a Helmholtz decomposition-based approach to Gaussian processes for better physical modeling.
result Improved inference on ocean currents and divergence identification with minimal computational cost.

A 3-dimensional vector field BB is said to be Beltrami vector field (force free-magnetic vector field in physics), if B×(×B)=0B\times(\nabla\times B)=0. Motivated by our investigations on projective an polynomial superflows, and as an important side result, in the first paper on this topic we constructed two unique Beltrami…

2017-01-16abs ↗pdf ↗

An algorithm detects anomalies based on human perception principles.

problem Anomaly detection in data.
method Inspired by Gestalt psychology and Helmholtz principle, the algorithm models anomalies as unexpected elements in random distributions.
result The algorithm efficiently detects anomalies with minimal user intervention and promising results on multivariate data.

Deep neural networks improve surrogate models for non-smooth quantities in uncertain geometries.

problem Building accurate surrogates for non-smooth quantities in uncertain geometries.
method Deep neural networks for point evaluation of solutions to interface problems with geometric uncertainties.
result Neural networks provide good surrogates without suffering from the curse of dimensionality.