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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.

168,695 papers · 148 categories

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4794140187 · May 202619922001200920172026
48 results for global splittings

Synthetic splitting theorem for Lorentzian spaces with non-negative curvature.

problem Proving a splitting theorem for globally hyperbolic Lorentzian length spaces with non-negative timelike curvature.
method Synthetic approach using triangle comparison and parallelity of timelike lines.
result Establishes a splitting of a neighborhood of a complete timelike line, leading to global inextendibility.

Study splitting submanifolds in specific homogeneous spaces.

problem Classify splitting submanifolds in rational homogeneous spaces of Picard number one.
method Use global holomorphic vector fields and projection maps to analyze submanifolds.
result Proves submanifolds in certain spaces are rational or Hermitian symmetric.

Geroch's theorem about the splitting of globally hyperbolic spacetimes is a central result in global Lorentzian Geometry. Nevertheless, this result was obtained at a topological level, and the possibility to obtain a metric (or, at least, smooth) version has been controversial since its publication in 1970. In fact, th…

2004-04-20abs ↗pdf ↗

Paper proves new theorems about curvature in weighted manifolds.

problem Understanding curvature in weighted manifolds.
method Proved spectral comparison and splitting theorems for infinity-Bakry-Emery Ricci curvature.
result Results extend existing theorems and provide new supplements.

Researchers prove a 30-year-old cosmological conjecture about spacetime.

problem The rigidity of the cosmological Hawking--Penrose singularity theorem.
method Combining global viscosity solutions and elliptic approaches.
result A timelike geodesically complete spacetime splits isometrically as a Lorentzian product.

New splitting theorem for weighted Finsler spacetimes without Berwald condition.

problem Proving timelike splitting theorems for Finsler spacetimes under weaker conditions.
method Using the pp-d'Alembertian and a recently developed strategy.
result Established a diffeomorphic splitting for timelike geodesically complete Finsler spacetimes.

Splitting theorem for non-positively curved Lorentzian spaces.

problem Understanding curvature in Lorentzian spaces.
method Proving a splitting theorem with global non-positive timelike curvature and extending first variation formula.
result Splitting theorem for Lorentzian pre-length spaces with global non-positive timelike curvature.

Example of spacetime with causal bubbling, splitting into timelike and spacelike parts.

problem Understanding causal bubbling in spacetimes.
method Example of a globally hyperbolic spacetime with a continuous metric, splitting orthogonally into timelike and spacelike parts.
result The synthetic timelike curvature-dimension (TCD) condition does not prevent causal bubbling.

Haken showed that the Heegaard splittings of reducible 3-manifolds are reducible, that is, a reducing 2-sphere can be found which intersects the Heegaard surface in a single simple closed curve. When the genus of the "interesting" surface increases from zero, more complicated phenomena occur. Kobayashi showed that if a…

2016-03-27abs ↗pdf ↗

The paper introduces a new concept of frame vorticity and uses it to find optimal sections in specific geometric settings.

problem Finding optimal sections in geometric settings using frame vorticity.
method Defining frame vorticity, relating it to split pseudo-Riemannian metrics, and using split special Lagrangian calibrations.
result Explicit homologically volume maximizing sections and optimal sections for specific manifolds.

A new Federated Learning approach balances personalization and global training.

problem Breaking the curse of data heterogeneity in Federated Learning.
method Splitting variables into global and local parameters, using a simple algorithm.
result The approach allows each client to fit their data perfectly, breaking the curse of data heterogeneity.

Study geometric structure of Ricci shrinker ends without global curvature assumptions.

problem Understand the geometric structure of Ricci shrinker ends without global curvature constraints.
method Analyze blow-up sequences of Ricci shrinkers at points with Type I scalar curvature bound, extending F-convergence theory.
result Limits of Ricci shrinkers at points with Type I scalar curvature bound split a line in four dimensions.

Globally hyperbolic spacetimes with timelike boundary (M=MM,g)(\overline{M} = M \cup \partial M, g) are the natural class of spacetimes where regular boundary conditions (eventually asymptotic, if M\overline{M} is obtained by means of a conformal embedding) can be posed. M\partial M represents the naked singularities and c…

2018-08-13abs ↗pdf ↗

Multisections generalize Heegaard splittings and trisections to higher dimensions.

problem Decomposing higher-dimensional manifolds into 1-handlebodies with specific intersection properties.
method Considering multisections of higher-dimensional smooth or PL closed orientable manifolds, and associating diagrams to them.
result Multisection diagrams uniquely determine manifolds in all dimensions up to 6.

This paper looks at the splitting problem for globally hyperbolic spacetimes with timelike Ricci curvature bounded below containing a (spacelike, acausal, future causally complete) hypersurface with mean curvature bounded from above. For such spacetimes we show a splitting theorem under the assumption of either the exi…

2016-09-16abs ↗pdf ↗

Inspired by the results in a recent paper by G. Galloway and C. Vega (see arXiv:1712.00785), we investigate a number of geometric consequences of the existence of a timelike conformal Killing vector field on a globally hyperbolic spacetime with compact Cauchy hypersurfaces, especially in connection with the so-called B…

2018-10-07abs ↗pdf ↗

We prove that if a fibered knot KK with genus greater than one in a three-manifold MM has a sufficiently complicated monodromy, then KK induces a minimal genus Heegaard splitting PP that is unique up to isotopy, and small genus Heegaard splittings of MM are stabilizations of PP. We provide a complexity bound in t…

2019-12-30abs ↗pdf ↗

The paper explores rigidity and splitting theorems for sub-static spaces with minimal hypersurfaces.

problem Rigidity and splitting problems for sub-static systems with boundary.
method Local and global splitting theorems, boundary integral inequalities, Liouville theorem.
result Improvements in rigidity and splitting results for sub-static spaces, including vacuum and non-vacuum cases.

Moitvated in part by [3], in this note we obtain a rigidity result for globally hyperbolic vacuum spacetimes in arbitrary dimension that admit a timelike conformal Killing vector field. Specifically, we show that if M is a Ricci flat, timelike geodesically complete spacetime with compact Cauchy surfaces that admits a t…

2017-12-03abs ↗pdf ↗

Subagging improves regression tree performance, especially with many splits.

problem Improving regression tree performance with subsample aggregating.
method Formalized bias and variance dependencies, compared subagging to single trees, and analyzed optimal tree sizes.
result Subagging improves tree performance, especially with many splits.

We characterize those spacetimes which admit a isometric (or conformal) embedding in some Lorentz-Minkowski space L^N. In particular, any globally hyperbolic spacetime can be isometrically embedded in L^N. This is proven by a result of its own interest: the construction of a smooth time function whose gradient is bound…

2008-12-23abs ↗pdf ↗

LoBoost improves local conformal prediction for gradient-boosted trees without extra data splits.

problem Quantifying uncertainty in gradient-boosted tree predictions.
method Model-native local conformal prediction using leaf structure.
result Competitive interval quality and improved test MSE with large calibration speedups.

Co-Clustering, the problem of simultaneously identifying clusters across multiple aspects of a data set, is a natural generalization of clustering to higher-order structured data. Recent convex formulations of bi-clustering and tensor co-clustering, which shrink estimated centroids together using a convex fusion penalt…

2019-01-18abs ↗pdf ↗

Paper establishes a new formula for Atiyah-Patodi-Singer index using eta invariants.

problem Calculating the Atiyah-Patodi-Singer index without invertibility of boundary operator.
method Using an asymptotic gluing formula for eta invariants and a splitting principle.
result Formula expressing index in terms of eta invariants of domain-wall massive Dirac operators.

Understanding the exceptional Lie groups as the symmetry groups of simpler objects is a long-standing program in mathematics. Here, we explore one famous realization of the smallest exceptional Lie group, G2. Its Lie algebra acts locally as the symmetries of a ball rolling on a larger ball, but only when the ratio of r…

2012-05-11abs ↗pdf ↗

Establishes a version of Bartnik's conjecture for Lorentzian length spaces.

problem Proving Bartnik's conjecture for Lorentzian length spaces.
method Using timelike completeness and non-negative timelike curvature bounds, the causal boundary is shown to be a single point.
result A globally hyperbolic Lorentzian length space splits as a metric Lorentzian product.

Study confirms Chern's conjecture on compact Hessian manifolds and classifies their topologies.

problem Global topological constraints and structural properties of compact Hessian manifolds.
method Novel fibration and splitting theorems, Chern's conjecture, Hitchin systems, Cheng-Yau solution.
result Topological classification of complete Hessian surfaces and closed orientable Hessian 3-manifolds.

Locally, a screen integrable globally null manifold MM splits through a Riemannian leaf MM' of its screen distribution and a null curve C\mathcal{C} tangent to its radical distribution. The leaf MM' carries a lot of geometric information about MM and, in fact, forms a basis for the study of expanding and non-expan…

2019-08-01abs ↗pdf ↗

FedForest adapts RF for federated learning, improving performance and efficiency.

problem Adapting RF for federated learning with heterogeneous data.
method FedForest uses a novel splitting procedure to aggregate client statistics, allowing non-parametric personalization.
result FedForest's federated RF achieves performance close to centralized models while being communication-efficient.