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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.

168,738 papers · 148 categories

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5101520 · Jun 202619922001200920172026
48 results for pressure filtration

This paper describes the Pressure Ulcers Online Website, which is a first step solution towards a new and innovative platform for helping people to detect, understand and manage pressure ulcers. It outlines the reasons why the project has been developed and provides a central point of contact for pressure ulcer analysi…

2018-08-17abs ↗pdf ↗

The study examines entropy and pressure at infinity in negatively curved manifolds, linking them to strong positive recurrence.

problem Investigating strong positive recurrence in negatively curved manifolds.
method Defining and comparing entropy and pressure at infinity through different measures.
result Strong positive recurrence potentials admit finite Gibbs measures.

Deep learning speeds up pressure prediction in carbon storage reservoirs.

problem Accurately forecasting reservoir pressure in geologic carbon storage projects with sparse well data.
method Combining InSAR surface displacement data with deep learning and data assimilation techniques.
result Workflow can predict reservoir pressure with high efficiency and uncertainty quantification.

The paper establishes pressure gaps for manifolds with flat subtori singularities.

problem Understanding phase transitions in nonpositively curved manifolds with flat subtori.
method Derives a pressure gap criterion for closed rank 1 manifolds with specific singular sets and proves Hölder continuity of geometric potentials.
result Geometric potentials have pressure gaps and no phase transitions under certain curvature constraints.

Study develops a data-based model for in-cylinder pressure and cyclic variations in RCCI engines.

problem Lack of models capturing cyclic variations in combustion concepts like RCCI.
method Combines Principle Component Decomposition and Gaussian Process Regression.
result Model predicts combustion measures with high accuracy, especially peak-pressure rise-rate.

Study forecasts aortic pressure with deep learning models.

problem Forecasting noisy, non-stationary aortic pressure.
method Used deep learning models, specifically recurrent neural networks with Legendre Memory Unit, on 25 Hz time series data.
result Recurrent neural networks with Legendre Memory Unit achieved the best performance with an overall forecasting error of 1.8 mmHg.

The paper studies Blaschke products, proving uniformization and non-degeneracy of pressure metrics.

problem Analytic aspects of Blaschke products and their moduli space.
method Definition of complex structure and proof of uniformization theorem.
result Pressure semi-norms are non-degenerate outside the super-attracting locus.

A new method for optimal filtration learning in time-series data analysis.

problem Finding an optimal filtration for analyzing topological properties of discrete data.
method Formulated an optimization problem and proposed an algorithm for solving it.
result Derivation of the exact formula of the gradient of the loss function with respect to filtration parameters.

The paper defines a path metric on a stable component of polynomial families.

problem Understanding the geometry of polynomial families with parabolic relations.
method Constructing a positive semi-definite pressure form on a bounded stable component of the moduli space.
result The pressure form defines a path metric on the stable component.

In this paper, we analyzed the physical meaning of scalar curvatures for a generalized Riemannian space. It is developed the Madsen's formulae for pressures and energy-densities with respect to the corresponding energy-momentum tensors. After that, the energy-momentum tensors, pressures, energy-densities and state-para…

2019-11-13abs ↗pdf ↗

We prove that the Hitchin parametrization provides geodesic coordinates at the Fuchsian locus for the pressure metric in the Hitchin component H3(S)\mathcal{H}_{3}(S) of surface group representations into PSL(3,R)PSL(3,\mathbb{R}). The proof consists of the following elements: we compute first derivatives of the pressure metric…

2019-10-02abs ↗pdf ↗

In sequential anytime-valid inference, any admissible procedure must be based on e-processes: generalizations of test martingales that quantify the accumulated evidence against a composite null hypothesis at any stopping time. This paper proposes a method for combining e-processes constructed in different filtrations b…

2024-02-15abs ↗pdf ↗
Ponzi Fundsq-fin.GN

Funds inflate their returns due to price pressure, leading to wealth reallocation and market crashes.

problem Funds inflate their returns due to price pressure, leading to wealth reallocation and market crashes.
method Decomposed fund returns into price pressure and fundamental components, and identified the impact of price chasing on fund flows.
result Funds' self-inflated returns lead to wealth reallocation and market crashes, and can be predicted by fund illiquidity.

This paper defines the pressure metric on the Moduli space of Margulis spacetimes without cusps and shows that it is positive definite on the constant entropy sections. It also demonstrates an identity regarding the variation of the cross-ratios.

2015-05-04abs ↗pdf ↗

We introduce several families of filtrations on the space of vector bundles over a smooth projective variety. These filtrations are defined using the large k asymptotics of the kernel of the Dolbeault Dirac operator on a bundle twisted by the kth power of an ample line bundle. The filtrations measure the failure of the…

2011-11-02abs ↗pdf ↗

Study on MHD equilibria on curved spaces without symmetries.

problem Analyzing MHD equilibria on curved spaces without symmetries.
method Examined MHD equilibria on Riemannian 3-manifolds with various adapted metrics.
result Found that for an open and dense set of adapted metrics, MHD equilibria on compact 3-manifolds without boundary admit no continuous Killing symmetries.

Bayesian inference calibrates Hall thruster model uncertainty at varying pressures.

problem Quantifying uncertainty in a multi-component Hall thruster model at different facility pressures.
method Bayesian inference applied to calibrate and quantify prediction uncertainty in a coupled multi-component Hall thruster model.
result Model reduces predictive errors in thrust and discharge current by more than 50% compared to a previous model.

Toeplitz operators linked to submultiplicative filtrations and weighted Bergman kernels.

problem Analyzing the asymptotics of weighted Bergman kernels for submultiplicative filtrations.
method Demonstrated that weight operator is a Toeplitz operator; analyzed asymptotics of weighted Bergman kernels.
result Local refinement of convergence of jumping measures towards geodesic ray pushforward measure.

Let ΣΣ be a compact connected oriented surface with one boundary component and let M\mathcal{M} denote the mapping class group of ΣΣ. By considering the action of M\mathcal{M} on the fundamental group of ΣΣ it is possible to define different filtrations of M\mathcal{M} together with some homomorphisms on each ter…

2019-02-26abs ↗pdf ↗

Hybrid model predicts flow and pressure in water systems.

problem Predicting flow and pressure in water distribution systems with complex spatial-temporal correlations.
method Hybrid dual-stage spatial-temporal attention-based recurrent neural networks (hDS-RNN).
result Our model outperformed 9 baseline models in flow and pressure series prediction.

A knot in the 3-sphere is called doubly slice if it is a slice of an unknotted 2-sphere in the 4-sphere. We give a bi-sequence of new obstructions for a knot being doubly slice. We construct it following the idea of Cochran-Orr-Teichner's filtration of the classical knot concordance group. This yields a bi-filtration o…

2004-11-06abs ↗pdf ↗

We show that the Artin representation on concordance classes of string links induces a well-defined epimorphism modulo order n twisted Whitney tower concordance, and that the kernel of this map is generated by band sums of iterated Bing-doubles of any string knot with nonzero Arf invariant. We also continue J. Levine's…

2012-02-12abs ↗pdf ↗

We study knots of order 2 in the grope filtration $\{\G_h\}$ and the solvable filtration $\{\F_h\}$ of the knot concordance group. We show that, for any integer n4n\ge4, there are knots generating a Z2\Z_2^\infty subgroup of $\G_n/\G_{n.5}$. Considering the solvable filtration, our knots generate a Z2\Z_2^\infty subgro…

2015-02-16abs ↗pdf ↗

The knot Floer complex and the concordance invariant ε\varepsilon can be used to define a filtration on the smooth concordance group. We exhibit an ordered subset of this filtration that is isomorphic to N×N\mathbb{N} \times \mathbb{N} and consists of topologically slice knots.

2013-09-08abs ↗pdf ↗

The knot Floer complex together with the associated concordance invariant epsilon can be used to define a filtration on the smooth concordance group. We show that the indexing set of this filtration contains the natural numbers cross the integers as an ordered subset.

2012-10-15abs ↗pdf ↗

The paper confirms a conjecture about optimal expected utility in markets with insider information.

problem Optimal expected utility in markets with insider information.
method An extension of the Black-Scholes-Merton model with a sequence of discrete-time economies.
result Optimal expected utility converges to the classic model when conditions are met.

The paper develops a new theory of double Johnson filtrations for mapping class groups.

problem Understanding the structure of mapping class groups using filtrations.
method Developed a general theory of Johnson filtrations and homomorphisms for groups acting on filtered groups, specializing to mapping class groups.
result Obtained a theory of double Johnson filtrations and homomorphisms for mapping class groups of surfaces with one boundary component.

Let M denote the mapping class group of S, a compact connected oriented surface with one boundary component. The action of M on the nilpotent quotients of the fundamental group of S allows to define the so-called Johnson filtration and the Johnson homomorphisms. J. Levine introduced a new filtration of M, called the La…

2017-11-30abs ↗pdf ↗

We define a filtration on the vector space spanned by Seifert matrices of knots related to Vassiliev's filtration on the space of knots. Further we show that the invariants of knots derived from the filtration can be expressed by coefficients of the Alexander polynomial.

1999-03-12abs ↗pdf ↗

We define a filtration of the smooth concordance group based on the genus of representative knots. We use the Heegaard Floer epsilon and Upsilon invariants to prove the quotient groups with respect to this filtration are infinitely generated. Results are applied to three infinite families of topologically slice knots.

2015-06-08abs ↗pdf ↗