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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.

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48 results for Thurston's earthquake theory

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.

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.

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 ↗

Method computes centers of Poisson and skein algebras for loops on surfaces.

problem Computing centers of Poisson and skein algebras associated to loops on surfaces.
method Systematic method using Goldman and Wolpert's Poisson algebras and Turaev's skein algebras.
result Computed centers of various Poisson and skein algebras for finite type hyperbolic surfaces.

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 ↗

For a compact surface X0X_0, Thurston introduced a compactification of its Teichmüller space T(X0)\mathcal T(X_0) by completing it with a boundary PML(X0)\mathcal{PML}(X_0) consisting of projective measured geodesic laminations. We introduce a similar bordification for the Teichmüller space T(X0)\mathcal T(X_0) of a noncompact Ri…

2018-05-15abs ↗pdf ↗

Geodesic envelopes stay uniformly bounded in specific Teichmüller spaces.

problem Understanding the behavior of geodesics in Teichmüller spaces.
method Identifying extremal geodesics, computing Fenchel-Nielsen twisting, and estimating earthquake path lengths.
result Width of geodesic envelopes is uniformly bounded in specific Teichmüller spaces.

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.

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 ↗

We study compact hyperbolic surface laminations. These are a generalization of closed hyperbolic surfaces which appear to be more suited to the study of Teichmüller theory than arbitrary non-compact surfaces. We show that the Teichmüller space of any non-trivial hyperbolic surface lamination is infinite dimensional. In…

2019-07-28abs ↗pdf ↗

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 ↗

We analyze the probability density function (PDF) of waiting times between financial loss exceedances. The empirical PDFs are fitted with the self-excited Hawkes conditional Poisson process with a long power law memory kernel. The Hawkes process is the simplest extension of the Poisson process that takes into account h…

2016-10-27abs ↗pdf ↗

The paper connects function theory, dynamics, and ergodic theory via Thurston's theory.

problem Function theory on Teichmüller space and dynamics of mapping class groups.
method Utilizes Thurston's theory and Sullivan's theory on discrete subgroups of hyperbolic space.
result Establishes connections between function theory, dynamics, and ergodic theory.

This paper was first written in 1990, but was never published. In it, the author presents a novel approach to the study of constant curvature spacetimes in 2+1 dimensions. A parameterization of flat 2+1-dimensional domains of dependence is given in terms of measured geodesic laminations. There is also an interesting re…

2007-06-11abs ↗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.

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.

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 ↗

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.

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 ↗

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.

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 landslide flow, introduced in [5], is a smoother analog of the earthquake flow on Teichmüller space which shares some of its key properties. We show here that further properties of earthquakes apply to landslides. The landslide flow is the Hamiltonian flow of a convex function. The smooth grafting map sgrsgr taking …

2012-08-08abs ↗pdf ↗

There is a small number of case studies of automatic land cover classification on the coastal area. Here, I test extraction of seagrass beds, sandy area, oyster farming rafts at Mangoku-ura Lagoon, Miyagi, Japan by comparing manual tracing, simple image segmentation, and image transformation using deep learning. The re…

2019-09-06abs ↗pdf ↗

Let S be a closed surface of genus at least 2, and consider two measured geodesic laminations that fill S. Right earthquakes along these laminations are diffeomorphisms of the Teichmüller space of S. We prove that the composition of these earthquakes has a fixed point in the Teichmüller space. Another way to state this…

2008-12-18abs ↗pdf ↗