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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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98196293391 · May 202619922001200920172026
48 results for causal mean curvature

New results on non-existence and rigidity of spacelike submanifolds in spacetimes.

problem Non-existence and rigidity of spacelike submanifolds with causal mean curvature vector field.
method General results for various spacetimes including globally hyperbolic, stationary, and pp-wave spacetimes.
result Significant consequences in Geometrical Analysis, solving new Calabi-Bernstein and Dirichlet problems.

New method discovers mean and variance causal graphs from heteroscedastic data.

problem Understanding causal relationships in data with varying variance.
method Bayesian, moment-driven approach inferring separate mean and variance causal graphs.
result Accurately recovers mean and variance structures from heteroscedastic data.

This paper gives a new proof that maximal, globally hyperbolic, flat spacetimes of dimension n3n\geq 3 with compact Cauchy hypersurfaces are globally foliated by Cauchy hypersurfaces of constant mean curvature, and that such spacetimes admit a globally defined constant mean curvature time function precisely when they a…

2006-04-22abs ↗pdf ↗

In this study, we deal with the local structure of curves and surfaces immersed in a pseudo-isotropic space I_{p}^{3} that is a particular Cayley-Klein space. We provide the formulas of curvature, torsion and Frenet trihedron in order for spacelike and timelike curves. The causal character of all admissible surfaces in…

2016-09-08abs ↗pdf ↗

The paper establishes curvature inequalities and rigidity results for CMC and STCMC surfaces in Riemannian and Lorentzian geometry.

problem Curvature inequalities and rigidity for surfaces with constant mean curvature and spacetime constant mean curvature.
method Analysis of curvature inequalities and rigidity results for surfaces in both Riemannian and Lorentzian settings, using stability conditions and extrinsic curvature sign conditions.
result Sharp inequality for spacetime constant mean curvature surfaces and rigidity for the equality case.

The paper establishes curvature inequalities and rigidity results for surfaces in Riemannian and Lorentzian geometry.

problem Curvature and rigidity of surfaces in Riemannian and Lorentzian geometries.
method Establishes curvature inequalities and rigidity results using stability conditions and extrinsic curvature sign conditions.
result Sharp inequality H216π/Σ|\vec{H}|^2\leq 16π/ |Σ| for spacetime constant mean curvature surfaces under the dominant energy condition.

We investigate the relation between quadrics and their Christoffel duals on the one hand, and certain zero mean curvature surfaces and their Gauss maps on the other hand. To study the relation between timelike minimal surfaces and the Christoffel duals of 1-sheeted hyperboloids we introduce para-holomorphic elliptic fu…

2017-01-09abs ↗pdf ↗

Detect spacetime curvature without rulers and clocks in 3D.

problem Detecting spacetime curvature without traditional measurement tools.
method Generalized results from 2D to 3D spacetime, proving well-stitched spacetime for conformally flat cases.
result A 3D spacetime is well-stitched if and only if it is conformally flat, providing a tool for curvature detection.

We establish volume comparison results for balls in Riemannian manifolds with C1,1C^{1,1}-metrics with a lower bound on the Ricci tensor and for the evolution of spacelike, acausal, causally complete hypersurfaces with an upper bound on the mean curvature in spacetimes with C1,1C^{1,1}-metrics with a lower bound on the tim…

2015-07-31abs ↗pdf ↗

TS-K-means improves financial data clustering with dynamic time warping.

problem Inadequate handling of temporal dependencies in financial time series data.
method Integrates Dynamic Time Warping into Time Series K-means for financial data.
result TS-K-means outperforms traditional K-means in financial data analysis.

New CMC existence result for expanding cosmological spacetimes.

problem Establishing a new constant mean curvature (CMC) existence result for cosmological spacetimes.
method Construction of barriers in the support sense and asymptotic limit of mean curvature flow.
result The existence of a CMC Cauchy surface in expanding cosmological spacetimes.

Study invariant λλ-translators in Lorentz-Minkowski space.

problem Characterize λλ-translators invariant under translations and rotations.
method Analyze 1-parameter group of translations and rotations, find explicit parametrizations, and solve non-linear autonomous systems.
result Explicit parametrizations and qualitative properties of invariant λλ-translators.

A new metric compares true and learned causal graphs considering data and graph structure.

problem Comparing true and learned causal graphs accurately.
method Continuous Structural Intervention Distance (CSID) using conditional mean embeddings and maximum mean discrepancy.
result Validated the CSID with synthetic data, showing its effectiveness in comparing causal graphs.

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.

Pattern recognition in neuroimaging distinguishes between two types of models: encoding- and decoding models. This distinction is based on the insight that brain state features, that are found to be relevant in an experimental paradigm, carry a different meaning in encoding- than in decoding models. In this paper, we a…

2015-12-15abs ↗pdf ↗

Defines a geometric dimension for Lorentzian spaces, distinguishing spacelike and null subspaces.

problem No specific problem stated; focuses on defining a new geometric dimension.
method Introduces a one-parameter family of volume measures and a doubling condition for causal diamonds.
result Defines a geometric dimension for synthetic spacetimes, distinguishing between spacelike and null subspaces.

New tests for distributional causal effects using improved kernel estimators.

problem Testing for higher-order moments and multidimensional outcomes affected by treatment.
method Improved kernel estimators based on doubly robust mean embeddings.
result New permutation-based tests for distributional causal effects with improved convergence rates.

The paper tackles matching a desired mean in causal systems through shift interventions.

problem Matching a desired mean in causal systems.
method Defining Markov equivalence classes, proposing active learning strategies, deriving lower bounds.
result Proposed active learning strategies require fewer interventions than previous approaches, especially for certain graph classes.

BayesIMP combines multiple causal graphs to estimate average treatment effects with uncertainty.

problem Uncertainty quantification in causal inference from multiple datasets.
method Bayesian Interventional Mean Processes (BayesIMP) integrating probabilistic integration and kernel mean embeddings.
result Improvements in average treatment effect estimation over state-of-the-art methods.

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 ↗

Proposes a method to evaluate generalizability in causal inference models.

problem Lack of formal procedures to statistically evaluate generalizability in causal inference.
method Frugal parameterization to simulate from causal benchmarks, using mean and distributional regression methods.
result Ensures more realistic evaluations of causal inference models, avoiding over-reliance on conventional metrics.

Causal inference from observational data is hard due to discontinuous causal effects.

problem Causal inference from observational data is hard due to discontinuous causal effects.
method The problem is tackled by showing that many standard point estimates can be read as point summaries of multimodal distributions over the space of structural causal models.
result Many standard point estimates can be discontinuous summaries, while explicit posterior means and medians are continuous.

New methods for estimating complex causal effects in econometrics.

problem Estimating causal parameters in short panel data models using nested nonparametric instrumental variable regression.
method Introducing techniques to limit ill-posedness in nested NPIV, providing explicit mean square rates and efficient inference.
result Explicit mean square rates for nested NPIV and efficient inference for causal parameters.

This article is concerned with causal structures, which are defined as a field of tangentially non-degenerate projective hypersurfaces in the projectivized tangent bundle of a manifold. The local equivalence problem of causal structures on manifolds of dimension at least four is solved using Cartan's method of equivale…

2017-04-08abs ↗pdf ↗

Study on trapped submanifolds in spacetimes, proving rigidity and non-existence results.

problem Rigidity and non-existence of trapped submanifolds in spacetimes.
method Analysis of parabolic spacelike submanifolds with causal mean curvature in orthogonally splitted and globally hyperbolic spacetimes.
result Non-existence of local minima or maxima of certain functions on submanifolds, leading to rigidity results.

The paper extends Hawking's singularity theorem to metrics with Hölder continuity and bounded curvature.

problem Proving singularity theorems for metrics with low regularity.
method Combining elliptic RT-equations for metric regularisation and manifold convolution for curvature refinement.
result Establishes globally hyperbolic and timelike incompleteness for metrics with Hölder continuity and bounded curvature.

The concept of closed trapped surface is of paramount importance in General Relativity and other gravitational theories. However, it is a purely geometrical object. With the aim of bringing this concept to closer attention by the mathematical community, I introduce the generalized idea of trapped submanifold by using t…

2004-12-13abs ↗pdf ↗

Proposes a new model to identify unknown counterfactual outcomes for continuous variables.

problem Counterfactual inference for continuous outcomes with strong assumptions.
method Curvature Sensitivity Model to relax assumptions and provide informative bounds.
result Demonstrates effectiveness of the Curvature Sensitivity Model in identifying counterfactual outcomes.

This paper introduces a new method to better understand financial market causality.

problem Lack of comprehensive understanding of distributional causality in financial markets.
method Combines piecewise quantile regression with a piecewise linear embedding scheme.
result Uncovered significant tail-tail causal effects and substantial causal asymmetry in cryptocurrency return series.