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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.

169,291 papers · 148 categories

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48 results for Cosmic No-Hair

Study geometric properties of generalized vacuum static spaces.

problem Estimating geometric properties of generalized φ\varphi-vacuum static spaces.
method Proving estimates for φ\varphi-scalar curvature and first eigenvalue of the Jacobi operator, and rigidity under various geometric assumptions.
result Proved a result related to the Cosmic no-hair conjecture.

The article characterizes a hemisphere using a Laplace operator and a differential equation.

problem Characterizing a hemisphere in a Riemannian manifold with boundary.
method Using the de-Rham Laplace operator and a nontrivial solution of the Fischer-Marsden equation.
result Proves the cosmic no-hair conjecture under a given integral condition.

Study on static perfect fluid space-time geometry and boundary estimates.

problem Investigate the geometry and boundary properties of static perfect fluid space-time.
method Used generalized Reilly's formula to establish geometric inequalities and boundary estimates.
result Obtained new boundary estimates involving the Brown-York mass and first eigenvalue of the Jacobi operator.

The study characterizes Riemannian manifolds with conformal vector fields and proves isometric properties.

problem Characterizing Riemannian manifolds with conformal vector fields and boundary conditions.
method Analyzing the properties of conformal vector fields on compact Riemannian manifolds with or without boundary.
result Proves isometric properties of Riemannian manifolds under specific conditions.

The paper proves rigidity for critical metrics of volume functional in specific spaces.

problem Proving rigidity for critical metrics of the volume functional in specific spaces.
method Using geodesic balls and Einstein hypersurfaces, the paper extends rigidity theorems to Miao-Tam critical metrics and static metrics.
result Geodesic balls in specific spaces have maximum boundary volume among Miao-Tam critical metrics with connected boundary.

The paper studies φ\varphi-static perfect fluid space-times in Einstein's General Relativity.

problem Analyzing the geometry of φ\varphi-static perfect fluid space-times.
method Reduction of Einstein's Field Equations to the factors of a static warped product, introducing φ\varphi-curvatures.
result Sharp sufficient conditions for a compact φ\varphi-SPFST with boundary to be isometric to the standard hemisphere.

The study proves strong cosmic censorship violation for spherically symmetric dust clouds.

problem Violation of strong cosmic censorship for spherically symmetric dust clouds.
method Derived an ordinary differential equation for light rays and used it to prove strong cosmic censorship violation.
result Generic violation of strong cosmic censorship for spherically symmetric dust clouds.

Study cosmic structures using Topological Data Analysis and Persistence Energy.

problem Investigate cosmic web evolution in ΛΛCDM cosmologies.
method Apply LITE method to embed persistence diagrams into vector spaces and analyze cosmic structures.
result Discover a correlation between Persistence Energy and redshift values.

Paper uses ResUNet-CMB to reconstruct cosmic polarization rotation from CMB data.

problem Reconstructing anisotropic cosmic polarization rotation from CMB data.
method Extended ResUNet-CMB to handle gravitational lensing and patchy reionization.
result ResUNet-CMB outperforms standard quadratic estimator in reconstructing all three effects.

Proves weak cosmic censorship for a specific Einstein-scalar field system in 2+1 dimensions.

problem Proves the absence of naked singularities in a specific Einstein-scalar field system.
method Establishes a mass gap and shows the presence of infinite blueshift to prove the absence of naked singularities.
result Proves the weak cosmic censorship conjecture for the circularly symmetric Einstein-scalar field system in 2+1 dimensions.

GANs generate realistic cosmic web models in seconds, overcoming computational limits.

problem Resource-intensive N-body simulations limit upcoming cosmology experiments.
method Generative Adversarial Networks (GANs) trained on 2D snapshots of N-body simulations.
result GAN-generated cosmic web models are qualitatively and quantitatively similar to originals.

Proposes a weaker version of Strong Cosmic Censorship with curvature bounds.

problem The original Strong Cosmic Censorship conjecture.
method Weakens the conjecture to allow manifolds with bounded curvature and Lipschitz continuity of metrics.
result Proves the conjecture with bounded curvature for sufficiently large p (p>4 with uniform bounds, p>2 without uniform bounds).

This work introduces 'Artificial Entanglement' to understand LLMs' fine-tuning effectiveness.

problem Understanding the effectiveness of parameter-efficient fine-tuning methods for large language models.
method Adopting a quantum-information-inspired perspective, the study measures 'Artificial Entanglement' in neural networks.
result LoRA and FFT induce distinct internal entanglement signatures but not external ones, suggesting a 'no-hair' property.

Proves Strong Cosmic Censorship conjecture for specific spacetimes.

problem Proving the Strong Cosmic Censorship conjecture for certain spacetimes.
method Analyzing curvature invariants and expansion-normalised variables.
result Proven for orthogonal Bianchi class B perfect fluids and vacuum spacetimes.

Study on spin random fields using chaos decomposition for cosmic microwave background modeling.

problem Modeling polarization of Cosmic Microwave Background using spin random fields.
method Explicit Wiener-Itô chaos decomposition of area measures of level sets.
result Reveals a clear difference between high frequency regime and zero spin case.

New string singularities enable quantum teleportation of massive particles.

problem Quantum teleportation of massive particles at large distances.
method Introduction of new world-sheet string singularities (cusps) that are stable and allow for the emission of captured massive quantum particles.
result Existence of a new mechanism for quantum teleportation of massive particles.

Bayesian neural networks improve cosmic parameter estimation from modified gravity simulations.

problem Estimating cosmological parameters from large-scale structure data with modified gravity.
method Implement Bayesian neural networks (BNNs) with two cases: single BLL and FullB, trained on dark matter only particle mesh NN-body simulations.
result BNNs yield well-calibrated uncertainty estimates and accurately predict cosmological parameters for ΩmΩ_m and σ8σ_8.

Study finds mass bound for 3-manifolds with boundary, angular momentum, and charge.

problem Establishing precise mass lower bound for asymptotically flat 3-manifolds.
method Analyzes nonnegative scalar curvature and minimal surface boundary conditions, without simple connectivity and completeness.
result Proves mass lower bound in terms of angular momentum and charge, without restrictive assumptions.

The paper connects Diophantine approximation to black hole behavior, proving blow-up conditions.

problem Understanding the behavior of waves on Kerr-AdS black holes.
method Analyzing linear scalar perturbations and studying poles of the interior scattering operator.
result Perturbations ψψ blow up at the Cauchy horizon under certain non-Diophantine conditions.

Study of cosmic microwave background polarization using spin random fields.

problem Detecting deviations from Gaussianity and anisotropies in cosmic fields.
method Explicit formula for Lipschitz-Killing curvatures of spin spherical random fields.
result Coherent with asymptotic results, providing new metric expressions.

Bayesian Gaussian Processes improve exoplanet transit and Hubble constant inference.

problem Improving exoplanet transit and Hubble constant inference using Bayesian Gaussian Processes.
method Kernel-, mean- and noise-marginalised Gaussian Processes with evidence-based model comparison and transdimensional sampling.
result Inferred Hubble constant H0H_0 values from cosmic chronometers, baryon acoustic oscillations and combined datasets are 66±6kms1Mpc166 \pm 6\, \mathrm{km}\,\mathrm{s}^{-1}\,\mathrm{Mpc}^{-1}, 67±10kms1Mpc167 \pm 10\, \mathrm{km}\,\mathrm{s}^{-1}\,\mathrm{Mpc}^{-1} and 69±6kms1Mpc169 \pm 6\, \mathrm{km}\,\mathrm{s}^{-1}\,\mathrm{Mpc}^{-1}, respectively.

Develops a geometric framework for spaces of distributional sections and calculates curvature of conical metrics.

problem Defining spaces of distributional sections and their geometric operations.
method Geometric framework for generalized sections, incorporating tensor calculus.
result Calculates the curvature of conical metrics used to describe cosmic strings.

Study on black hole interiors with matter fields, showing oscillation condition impacts blow-up.

problem Examining Strong Cosmic Censorship in the presence of matter fields.
method Einstein equations coupled with charged/massive scalar fields, spherically symmetric data, relaxation rate analysis.
result Oscillation condition on event horizon determines whether matter fields blow up or not.

Proof confirms cosmic censorship for charged gravitational collapse.

problem Cosmic censorship for Einstein-Maxwell-Charged Scalar Field system.
method Systematic approach to incorporate charge and complex scalar field, new trapped surface criterion, modified BV area estimates, and new instability theorems.
result Cosmic censorship holds for charged gravitational collapse.

Proves inextendibility of weak null singularities from curvature blow-up.

problem Inextendibility of weak null singularities in the context of curvature blow-up.
method Introduces a new strategy to infer Cloc0,1C^{0,1}_{\mathrm{loc}}-inextendibility from curvature blow-up.
result Expected to contribute to the resolution of strong cosmic censorship conjecture.

Deep neural networks improve CMB lensing potential reconstruction for future cosmic microwave background experiments.

problem Low noise levels in upcoming CMB experiments require improved methods for extracting lensing potential.
method Deep convolutional neural networks (ResUNet) trained on simulated data without physical parametrization.
result ResUNets recover lensing potential with higher signal-to-noise ratio than quadratic estimator.

We uniquely and explicitly reconstruct the instantaneous intrinsic metric of the Kerr-Newman Event Horizon from the spectrum of its Laplacian. In the process we find that the angular momentum parameter, radius, area; and in the uncharged case, mass, can be written in terms of these eigenvalues. In the uncharged case th…

2005-09-28abs ↗pdf ↗

TomOpt optimizes muon detector designs using differentiable programming.

problem Designing efficient particle detectors for muon tomography.
method Differentiable programming for muon interaction modeling, inference, and optimisation.
result Demonstrated end-to-end differentiable and inference-aware optimisation of particle physics instruments.

The paper proves the existence of Ricci-flat metrics on certain exotic 4-manifolds.

problem Proving the existence of Ricci-flat metrics on exotic 4-manifolds.
method Constructing Ricci-flat metrics on Gompf's exotic 4-manifolds.
result Proves the existence of complete Ricci-flat metrics on certain exotic 4-manifolds.

Study on the interior of rotating vacuum black holes, proving stability of Cauchy horizon.

problem Stability of Cauchy horizon in rotating vacuum black holes.
method Maximal Cauchy evolution extension across non-trivial piece of Cauchy horizon.
result Continuous metric Cauchy horizon can be extended across a non-trivial piece of Cauchy horizon.