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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.

168,657 papers · 148 categories

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62125187249 · May 202619922001200920172026
48 results for causal geometry

We propose a formulation of a Lorentzian quantum geometry based on the framework of causal fermion systems. After giving the general definition of causal fermion systems, we deduce space-time as a topological space with an underlying causal structure. Restricting attention to systems of spin dimension two, we derive th…

2011-07-11abs ↗pdf ↗

Symplectic quandles can detect causality in spacetimes, improving on existing methods.

problem Detecting causality in (2+1)-dimensional spacetimes using existing methods.
method Combining Alexander-Conway polynomial with symplectic quandles.
result Symplectic quandles can distinguish between different types of links, suggesting their ability to detect causality.

The study constructs a Lorentzian length space and explores its properties and relationships with metric and causal geometry.

problem Understanding the relationship between metric and causal geometry in Lorentzian spaces.
method Constructing a Lorentzian length space with an orthogonal splitting on a product of an interval and a metric space, and using synthetic time-like Ricci curvature bounds.
result Established sufficient conditions for global hyperbolicity and formulated time-like Ricci curvature bounds without push-up and regularity assumptions.

Describes links between Finsler and Lorentz geometries for Riemannian geometers.

problem Understanding the relationship between Finsler and Lorentz geometries.
method Analyzes the Zermelo navigation problem and develops issues related to causality, Finsler elements, and wave propagation.
result Provides a comprehensive understanding of the Lorentzian causality using Finsler elements and the natural relation between the Lorentzian causal boundary and the Gromov and Busemann ones in the Finsler setting.

CSHT predicts financial returns from news using a novel transformer model on a sphere.

problem Financial forecasting from news and sentiment.
method Granger-causal hypergraph structure, Riemannian geometry, causally masked Transformer attention.
result CSHT outperforms baselines in return prediction, regime classification, and asset ranking.

It is commonly known that in Riemannian and sub-Riemannian Geometry, the metric tensor on a manifold defines a distance function. In Lorentzian Geometry, instead of a distance function it provides causal relations and the Lorentzian time-separation function. Both lead to the definition of the Alexandrov topology, which…

2013-01-03abs ↗pdf ↗

Paper introduces geometry-aware normalizing flows for improved causal inference.

problem Disparity between sample and population distributions in causal inference.
method Integrates continuous normalizing flows with parametric submodels, employing Wasserstein gradient flows and optimal transport.
result Significantly reduces parameter estimation bias and variance in finite-sample settings.

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 discuss contact invariant structures on the space of solutions of a third-order ordinary differential equation. Associated to any third-order differential equation modulo contact transformations, Chern introduced a degenerate conformal Lorentzian metric on the space of 2-jets of functions of one variable. When the W…

2010-01-01abs ↗pdf ↗

We present a systematic study of causality theory on Lorentzian manifolds with continuous metrics. Examples are given which show that some standard facts in smooth Lorentzian geometry, such as light-cones being hypersurfaces, are wrong when metrics which are merely continuous are considered. We show that existence of t…

2011-11-02abs ↗pdf ↗

New geometric properties discovered in a specific Frobenius manifold.

problem Exploring hidden geometric aspects of a specific Frobenius manifold.
method Proved the manifold is pseudo-elliptic, sub-manifold of a Lorentzian projective manifold, and unraveled Maurer-Cartan structures.
result Found causality conditions bridging Lorentzian and probabilistic concepts.

Study defines new products for Lorentzian spaces and analyzes causal diamonds.

problem Understanding causal diamonds in Lorentzian spaces.
method Introduced taxicab and uniform products for Lorentzian pre-length spaces. Defined D(RimesTX)D(R imes_T X) space and analyzed its properties.
result The space D(RimesTX)D(R imes_T X) is geodesic and globally hyperbolic for complete XX.

Classifies cosmological Finsler spacetimes, finding viable non-stationary models.

problem Locating viable non-stationary Finsler spacetimes in cosmology.
method Locally classified all possible cosmological homogeneous and isotropic Landsberg-type Finsler structures in 4-dimensions.
result Identified unique Finsler, non-Berwaldian Landsberg generalization of Friedmann-Lemaitre-Robertson-Walker geometry.

The abstract discusses a new causal structure on manifolds using paths and points.

problem Constructing a causal structure on manifolds using paths and points.
method Constructing a four-manifold from pairs of points and paths, and a seven-dimensional manifold from pairs of points and conics.
result The causal structure corresponds to a conformal structure only when the underlying surface is a real projective plane.

Neural Spacetimes learn DAGs by embedding nodes in a spacetime manifold.

problem Learning representations of weighted directed acyclic graphs (DAGs).
method Trainable deep learning-based geometries (Neural Spacetimes) that encode both edge weights and causality.
result Universal embedding theorem for DAGs with sub-cubic parameters and low distortion.

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 ↗

A flat complete causal Lorentzian manifold is called {\it strictly causal} if the past and the future of each its point are closed near this point. We consider strictly causal manifolds with unipotent holonomy groups and assign to a manifold of this type four nonnegative integers (a signature) and a parabola in the con…

2005-09-13abs ↗pdf ↗

We demonstrate the breakdown of several fundamentals of Lorentzian causality theory in low regularity. Most notably, chronological futures (defined naturally using locally Lipschitz curves) may be non-open, and may differ from the corresponding sets defined via piecewise C1C^1-curves. By refining the notion of a causal…

2019-01-23abs ↗pdf ↗

In quantum geometry, we consider a set of loops, a compact orientable surface and a solid compact spatial region, all inside R×R3R4\mathbb{R} \times \mathbb{R}^3 \equiv \mathbb{R}^4, which forms a triple. We want to define an ambient isotopic equivalence relation on such triples, so that we can obtain equivalence invariant…

2017-06-15abs ↗pdf ↗

The paper extends completeness notions to low-regularity spacetimes.

problem Defining completeness conditions for spacetimes with low-regularity metrics.
method Extending Beem's completeness notions to Lorentzian length spaces and proving relationships between them.
result Equivalence of completeness conditions for globally hyperbolic C1C^{1}-spacetimes under certain conditions.

The causal structure of a strongly causal spacetime is particularly well endowed. Not only does it determine the conformal spacetime geometry when the spacetime dimension n >2, as shown by Malament and Hawking-King-McCarthy (MHKM), but also the manifold dimension. The MHKM result, however, applies more generally to spa…

2011-02-04abs ↗pdf ↗

We review geometrical properties of a static spacetime (M,g)(M,g), including geodesic completeness, causality, standard splittings, compact MM, closed geodesics and geodesic connectedness. We pay special attention to the critical quadratic behavior at infinity of the coefficients ββ, β1β^{-1} (β=g(K,K)β= -g(K,K), being KK a …

2004-06-16abs ↗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 causal versions of MaxEnt and PIR avoid paradoxical probability updates.

problem Paradoxical probability updates in causal MaxEnt and PIR.
method Separate constraints into cause-specific and mechanism-specific restrictions.
result Causal MaxEnt avoids paradoxical updates and aligns with Information Geometric Causal Inference.

Study open orbits in causal flag manifolds with applications in AQFT.

problem Understanding open orbits in causal flag manifolds for applications in AQFT.
method Analyzing open orbits of symmetric subgroups on causal flag manifolds, focusing on invariant causal structures and modular flows.
result Determine the positivity regions of modular flows and their global hyperbolicity for different types of open orbits.

The study proves a transverse diameter theorem for Lorentzian foliations.

problem Understanding the geometry of foliations in Lorentzian spacetimes.
method Developed a novel causality structure on leaf spaces via transverse Lorentzian geometry.
result Derived a transverse diameter theorem for Lorentzian foliations and orbifolds.

CPCMs integrate causal drivers for robust portfolio optimization.

problem Degradation of classical portfolio models under structural breaks and lack of arbitrage consistency in machine learning.
method Causal PDE-Control Models integrating structural causal drivers, nonlinear filtering, and forward-backward PDE control.
result CPCM solvers achieve higher Sharpe ratios and lower turnover than benchmarks.

The geometry of causal diamonds or Alexandrov open sets whose initial and final events pp and qq respectively have a proper-time separation ττ small compared with the curvature scale is a universal. The corrections from flat space are given as a power series in ττ whose coefficients involve the curvature at the cen…

2007-03-09abs ↗pdf ↗

The Einstein universe is the conformal compactification of Minkowski space. It also arises as the ideal boundary of anti-de Sitter space. The purpose of this article is to develop the synthetic geometry of the Einstein universe in terms of its homogeneous submanifolds and causal structure, with particular emphasis on d…

2007-06-20abs ↗pdf ↗

We introduce the notion of a standard static Finsler spacetime where the base is a Finsler manifold. We prove some results which connect causality with the Finslerian geometry of the base extending analogous ones for static and stationary Lorentzian spacetimes.

2015-06-24abs ↗pdf ↗

In this paper we prove a global existence theorem, in the direction of cosmological expansion, for sufficiently small perturbations of a family of n+1n+1-dimensional, n3n \geq 3, spatially compact spacetimes which generalizes the k=1k=-1 Friedmann--Robertson--Walker vacuum spacetime. Our results demonstrate causal geodes…

2009-08-06abs ↗pdf ↗

PLOT uses optimal transport to find neural site handles for causal abstraction.

problem Finding the relevant neural site for causal analysis is computationally challenging.
method PLOT employs optimal transport to localize causal variables from neural network outputs.
result PLOT efficiently finds intervention handles for causal abstraction in neural networks.

Study the geometry of a Lie group using Hessian and flat affine structures.

problem Understanding the geometry of a specific Lie group.
method Examined using bi-invariant Hessian metric and flat affine structure, focusing on curvatures, causal structure, and developed map.
result Determined curvatures, tidal force, and Jacobi vector fields of the Hessian metric.

Develops methods for causal inference in longitudinal data.

problem Estimating Individual Treatment Effects (ITEs) in high-dimensional, time-varying data.
method Causal Dynamic Variational Autoencoder (CDVAE) and long-term counterfactual regression framework.
result CDVAE outperforms baselines and improves state-of-the-art models, approaching oracle performance.