Research
On-device research index

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.

169,051 papers · 148 categories

Trend · papers per month

75149224298 · Jun 202019922001200920182026
48 results for mass convergence

Lower semicontinuity of ADM mass proven for a weaker convergence type.

problem Behavior of ADM mass under weak convergence types.
method Intrinsic flat convergence, smooth manifolds converging to local integral current spaces, Huisken's isoperimetric mass.
result Lower semicontinuity of ADM mass proven for F\mathcal{F} convergence.

The semicontinuity phenomenon of the ADM mass under pointed (i.e., local) convergence of asymptotically flat metrics is of interest because of its connections to nonnegative scalar curvature, the positive mass theorem, and Bartnik's mass-minimization problem in general relativity. In this paper, we extend a previously …

2018-04-12abs ↗pdf ↗

Study on fractional mass for codimension-two currents, proving equi-coercivity and Γ-convergence.

problem Defining and studying fractional mass for codimension-two currents on manifolds.
method Energy minimization with Jacobian constraint, equi-coercivity, Γ-convergence, weak linking.
result Equivalence of two formulations of fractional mass, improved regularity for ss-harmonic maps.

The Positive Mass Conjecture states that any complete asymptotically flat manifold of nonnnegative scalar curvature has nonnegative mass. Moreover, the equality case of the Positive Mass Conjecture states that in the above situation, if the mass is zero, then the Riemannian manifold must be Euclidean space. The Positiv…

2007-05-04abs ↗pdf ↗

The paper proves stability of the positive mass theorem using intrinsic flat convergence.

problem Stability of the positive mass theorem in mathematical relativity.
method Intrinsic flat convergence of points and applications to stability.
result Revisits and strengthens the stability results for graphical hypersurfaces of Euclidean space.

The ADM mass, viewed as a functional on the space of asymptotically flat Riemannian metrics of nonnegative scalar curvature, fails to be continuous for many natural topologies. In this paper we prove that lower semicontinuity holds in natural settings: first, for pointed Cheeger--Gromov convergence (without any symmetr…

2014-11-13abs ↗pdf ↗

Study on stability of Positive Mass Theorem using Inverse Mean Curvature Flow.

problem Stability of Positive Mass Theorem in foliated regions with positive scalar curvature.
method Analyzes sequences of regions foliated by solutions to Inverse Mean Curvature Flow, focusing on convergence to flat annuli under specific conditions.
result Convergence of foliated regions to flat annuli under certain conditions, leading to stability of Positive Mass Theorem.

The study proves stability of the positive mass theorem for Kähler manifolds.

problem Stability of the positive mass theorem for Kähler manifolds.
method Integral inequality and stability results for ADM mass on AE Kähler manifolds.
result Stability of the positive mass theorem for Kähler manifolds under certain conditions.

Study semicontinuity of capacity in non-smooth spaces using intrinsic flat convergence.

problem Investigate semicontinuity of capacity in non-smooth spaces.
method Analyze sequences of local integral current spaces converging in the pointed Sormani-Wenger intrinsic flat sense.
result Prove upper semicontinuity of capacity for balls and Lipschitz sublevel sets under volume-preserving convergence.

First we review the definition of a negative point mass singularity. Then we examine the gravitational lensing effects of these singularities in isolation and with shear and convergence from continuous matter. We review the Inverse Mean Curvature Flow and use this flow to prove some new results about the mass of a sing…

2010-08-10abs ↗pdf ↗

Study of Brown--York mass for four-dimensional asymptotically flat manifolds.

problem Calculating mass for hypersurfaces in four-dimensional asymptotically flat manifolds.
method Intrinsic definition of mean curvature, expansion analysis for large uniformly convex hypersurfaces.
result Shape-dependent correction to ADM mass for nearly round surfaces vanishes under certain conditions.

Nesterov SGD doesn't accelerate over SGD in over-parameterized learning.

problem Theoretical and practical acceleration of SGD with momentum in over-parameterized learning.
method Introducing a compensation term to Nesterov SGD, resulting in MaSS algorithm.
result MaSS converges for same step sizes as SGD and achieves accelerated convergence rates over SGD.

The paper proves stability of the positive mass theorem in spherical symmetry.

problem The stability of the positive mass theorem in spherical symmetry when mass is small.
method Formulated a conjecture and proved it under spherical symmetry assumption.
result A sequence of asymptotically flat initial data converging to Minkowski space.

This thesis discusses the Newtonian limit of General Relativity for static isolated systems with compactly supported matter. We call these systems "geometrostatic" to underline their geometric nature. We introduce new quasi-local notions of mass and center of mass that can be read off locally in the vicinity of the mat…

2012-01-26abs ↗pdf ↗

The paper proves stability of positive mass theorem for flat 3-manifolds.

problem Stability of positive mass theorem for uniformly asymptotically flat 3-manifolds.
method Analyzing sequences of 3-manifolds with nonnegative scalar curvature and zero ADM mass, subtracting open subsets and using Gromov-Hausdorff convergence.
result Convergence of (MiZi,gi,pi)(M_i\setminus Z_i,g_i,p_i) to Euclidean space (R3,gE,0)(\mathbb{R}^3,g_E,0) in specific topologies.

We study convergence rates of variational posterior distributions for nonparametric and high-dimensional inference. We formulate general conditions on prior, likelihood, and variational class that characterize the convergence rates. Under similar "prior mass and testing" conditions considered in the literature, the rat…

2017-12-07abs ↗pdf ↗

The paper studies constant harmonic mean curvature surfaces in Schwarzschild spaces, proving they foliate the space.

problem Investigating constant harmonic mean curvature surfaces in Schwarzschild spaces.
method Volume-preserving harmonic mean curvature flow in asymptotically Schwarzschild spaces.
result These surfaces form a foliation of the space outside a large ball.

We present a new geometric approach to the study of static isolated general relativistic systems for which we suggest the name geometrostatics. After describing the setup, we introduce localized formulas for the ADM-mass and ADM/CMC-center of mass of geometrostatic systems. We then explain the pseudo-Newtonian characte…

2012-10-16abs ↗pdf ↗

The (relativistic) center of mass of an asymptotically flat Riemannian manifold is often defined by certain surface integral expressions evaluated along a foliation of the manifold near infinity, e. g. by Arnowitt, Deser, and Misner (ADM). There are also what we call 'abstract' definitions of the center of mass in term…

2013-12-22abs ↗pdf ↗

Study on stability of mass theorems using foliated IMCF.

problem Stability of Positive Mass Theorem and Riemannian Penrose Inequality.
method Analyzes foliated regions of manifolds foliated by IMCF, considering convergence in W1,2W^{1,2}.
result Convergence of foliated regions to specific geometric shapes under certain conditions.

The paper proves stability of manifolds with boundary under volume and distance constraints.

problem Stability of manifolds with boundary under volume and distance constraints.
method Volume preserving intrinsic flat convergence of metrics with boundary constraints.
result The stability of manifolds with boundary under volume and distance constraints is proven.

Improved protein identification in mass spectrometry data.

problem Expanding peptide scoring capabilities in tandem mass spectrometry.
method Deriving concave emission distributions for dynamic Bayesian networks.
result Efficiently learned scoring function outperforms state-of-the-art.

GT estimator shows convergence for Markov samples, improving i.i.d. results.

problem Estimating missing mass in Markov samples.
method Analyzed convergence of Good-Turing estimator for Markov samples, considering spectral properties of transition matrices.
result The convergence of the GT estimator for Markov samples depends on the spectral properties of the transition matrices, leading to a new minimax rate of 1/(nβ5)1/(nβ^5) for rank-2 Markov chains.