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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.

168,742 papers · 148 categories

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3876114152 · May 202619922001200920172026
48 results for infinitesimal earthquake theorem

The paper proves a theorem about earthquake extensions of vector fields on circles.

problem Proving a theorem about earthquake extensions of vector fields on circles.
method Using the geometry of the dual of Minkowski three-space and Half-pipe three-geometry.
result A generalization of Kerckhoff's and Gardiner's infinitesimal earthquake theorems to a broader setting.

Estimates Schwarzian derivative on long complex projective tubes.

problem Behaviour of Schwarzian derivative on complex projective structures.
method Analyzes Schwarzian derivative on long complex projective tubes, estimating its pairing with infinitesimal earthquakes and graftings.
result Obtains bounds for the variation of renormalized volume under complex earthquake paths and its asymptotic behavior under pinching.

We prove that the bijective correspondence between the space of bounded measured laminations MLb(H)ML_b(\mathbb{H}) and the universal Teichmüller space T(H)T(\mathbb{H}) given by λEλS1λ\mapsto E^λ|_{S^1} is a homeomorphism for the Fréchet topology on MLb(H)ML_b(\mathbb{H}) and the Teichmüller topology on T(H)T(\mathbb{H}), where $E^λ…

2010-06-04abs ↗pdf ↗

The paper generalizes Thurston's earthquake map to cluster algebras of finite type.

problem Tackling Thurston's earthquake map in the context of cluster algebras of finite type.
method Introducing a cluster algebraic generalization of Thurston's earthquake map, defined by gluing exponential maps.
result Proves an analogue of the earthquake theorem for cluster algebras of finite type, showing the cluster earthquake map is a homeomorphism.

This paper adapts Thurston's earthquake metric to Riemann surfaces with marked points.

problem Defining a norm and metric on Teichmüller spaces for surfaces of arbitrary genus.
method Adapting Thurston's earthquake norm to Riemann surfaces with marked points and using complex Legendre transforms.
result Establishes a complete analogue of Thurston's earthquake norm in the conformal setting.

Let $\cT$ be Teichmüller space of a closed surface of genus at least 2. For any point $c\in \cT$, we describe an action of the circle on $\cT\times \cT$, which limits to the earthquake flow when one of the parameters goes to a measured lamination in the Thurston boundary of $\cT$. This circle action shares some of the …

2011-06-02abs ↗pdf ↗

We prove an "Earthquake Theorem" for hyperbolic metrics with geodesic boundary on a compact surfaces SS with boundary: given two hyperbolic metrics with geodesic boundary on a surface with kk boundary components, there are 2k2^k right earthquakes transforming the first in the second. An alternative formulation arises…

2006-10-13abs ↗pdf ↗

We prove two related results. The first is an ``Earthquake Theorem'' for closed hyperbolic surfaces with cone singularities where the total angle is less than ππ: any two such metrics in are connected by a unique left earthquake. The second result is that the space of ``globally hyperbolic'' AdS manifolds with ``parti…

2006-09-04abs ↗pdf ↗

The Teichmuller unipotent flow can be defined concretely on certain moduli spaces of singular flat surfaces by shearing polygonal presentations of the surfaces. Thurston's earthquake flow on moduli spaces of hyperbolic surfaces is more mysterious. Both flows have deep and important connections to other areas of mathema…

2018-10-17abs ↗pdf ↗

Deep neural networks predict earthquake locations with high accuracy.

problem Predicting the location of earthquakes with high precision.
method Recurrent Convolutional Neural Networks (R-CNN) model that accounts for spatio-temporal dependencies.
result Neural networks model outperforms baseline models in predicting earthquakes with ROC AUC 0.975 and PR AUC 0.0890.

Study shows house buyers in Christchurch value earthquake risk differently based on time since 2011 quake.

problem Understanding how house buyers' perception of earthquake risk changes over time.
method Used a hedonic price model to analyze house prices in Christchurch over three periods.
result Buyers value earthquake risk differently based on the time since the 2011 Christchurch earthquake.

In this paper we study the typical speed of a generic earthquake trajectory leaving compact sets in the moduli space of the once-punctured torus. Mirzakhani showed that the earthquake flow is measurably equivalent to the horocyclic flow, which has been studied extensively. Our main result shows that the earthquake flow…

2015-06-15abs ↗pdf ↗

Deviance Voronoi residuals improve earthquake insurance risk assessment.

problem Assessing earthquake insurance risk using spatio-temporal point process models.
method Extended Voronoi residuals and created simulation-based approach.
result Proposed formula for country-wide minimum capital test.

Real analytic maps can be unstable even if infinitesimal changes are stable.

problem Unstability of real analytic maps despite infinitesimal stability.
method Used a relative version of Whitney's Analytic Approximation Theorem and H. Cartan's Theorems A and B.
result Infinitesimal CωC^{\omega} stability does not imply CωC^{\omega} stability.

The paper studies infinitesimal variations of submanifolds in Euclidean space.

problem Understanding infinitesimal variations of submanifolds of arbitrary dimension and codimension.
method Proving a system of three equations as integrability conditions for the differential equation determining infinitesimal variations.
result Established a Fundamental theorem for infinitesimal variations of submanifolds.

We give a short proof of the fact that bounded earthquakes of the unit disk induce quasisymmetric maps of the unit circle. By a similar method, we show that symmetric maps are induced by bounded earthquakes with asymptotically trivial measures.

2006-10-10abs ↗pdf ↗

A machine learning surrogate model predicts earthquake-induced building responses.

problem Expensive FE model simulations for earthquake damage estimation.
method SVD-based earthquake characterization and machine learning model training.
result Deep neural network provides most accurate predictions of building responses.

New benchmark for earthquake forecasting models shows current neural point processes are not yet suitable.

problem Lack of a modern benchmark for evaluating neural point process models in earthquake forecasting.
method Curated and standardized earthquake catalog, evaluation protocols, and datasets.
result None of the tested NPPs outperformed the classical ETAS model.

We explicitly describe the Teichmuller space TH_n of hyperelliptic surfaces in terms of natural and effective coordinates as the space of certain (2n-6)-tuples of distinct points on the ideal boundary of the Poincare disc. We essentially use the concept of a simple earthquake which is a particular case of a Fenchel-Nie…

2007-09-11abs ↗pdf ↗

In this paper, we prove that infinitesimal equivariant Chern-Connes characters are well-defined. We decompose an equivariant index as a pairing of infinitesimal equivariant Chern-Connes characters with the Chern character of an idempotent matrix. We compute the limit of infinitesimal equivariant Chern- Connes character…

2014-11-25abs ↗pdf ↗

The paper introduces a new concept of infinitesimal homogeneity for connections on bundles and applies it to prove known theorems and derive new results.

problem Understanding and proving theorems related to connections on bundles and their properties.
method Introducing infinitesimal homogeneity for sections in associated vector bundles and proving the existence of connections satisfying parallelism conditions.
result The existence of connections satisfying parallelism conditions and the ability to classify locally homogeneous and symmetric triples.

Study topological hyperbolicity of moduli spaces of elliptic surfaces.

problem Characterize the largeness of the topological fundamental group of complex varieties.
method Introduce topological hyperbolicity and provide supporting evidence for moduli spaces of elliptic surfaces.
result Establish a weak form of topological hyperbolicity for moduli spaces of elliptic surfaces of Kodaira dimension one.

In this paper we prove rigidity theorems for Poisson Lie group actions on Poisson manifolds. In particular, we prove that close infinitesimal momentum maps associated to Poisson Lie group actions are equivalent using a normal form theorem for SCI spaces. When the Poisson structure of the acted manifold is integrable, t…

2014-10-20abs ↗pdf ↗

The two main topics of this text are as follows: Firstly, three modifications of the theorem of Beltrami will be presented for diffeomorphisms between Riemannian manifolds and a space form which preserve the geodesic circles, the geodesic hyperspheres, or the minimal surfaces, respectively. Secondly, it is defined what…

2009-12-21abs ↗pdf ↗

Bayesian neural networks improve earthquake rupture prediction and uncertainty estimation.

problem Insufficient data for earthquake rupture studies.
method Used Bayesian neural networks to model earthquake rupture simulations.
result Improved F1-score of 0.8334 compared to plain NN, indicating better performance.

In this paper, we extend the well-known Noether theorem for Lagrangian systems to contact Lagrangian systems. We introduce a classification of infinitesimal symmetries and obtain the corresponding dissipated quantities. We notice that in contact dynamics, the existence of infinitesimal symmetries does not produce conse…

2019-09-17abs ↗pdf ↗

Let X0X_0 be a complete hyperbolic surface of infinite type that has a geodesic pants decomposition with cuff lengths bounded above. The length spectrum Teichmüller space Tls(X0)T_{ls}(X_0) consists of homotopy classes of hyperbolic metrics on X0X_0 such that the ratios of the corresponding simple closed geodesic for the hy…

2012-12-02abs ↗pdf ↗

Study of Teichmüller space geometry using infinitesimal and global methods.

problem Understanding the geometry of Teichmüller space and its tangent/cotangent spheres.
method Systematic study of Thurston metric's infinitesimal and global properties.
result Rigidity statements for the Thurston metric analogous to Royden theorem.

Unsupervised method detects earthquakes from raw waveforms, generalizing across datasets.

problem Lack of labeled data for earthquake detection.
method Uses deep autoencoders with cross-covariance triggering at bottleneck.
result Performance comparable to supervised methods, with strong cross-dataset generalization.

Neural model outperforms ETAS in forecasting Central Apennines earthquakes.

problem Short-term seismicity forecasting with incomplete data.
method Extended a neural network model to the magnitude domain, using it to forecast earthquakes above a target magnitude threshold.
result Neural model outperforms ETAS at lower magnitude thresholds, due to its robustness to missing data.