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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.

169,051 papers · 148 categories

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14294357 · Jun 202019922001200920182026
48 results for graphic statics

Paper proves stability of positive mass theorem for specific types of manifolds.

problem Stability of positive mass theorem for compact graphical manifolds.
method Used Federer--Fleming flat distance and static quasi-local Brown-York energy.
result Proved stability of positive mass theorem for compact (locally) hyperbolic graphical manifolds.

The study proves geometric inequalities for static convex domains in static rotationally symmetric spaces.

problem Proving geometric inequalities for static convex domains in static rotationally symmetric spaces.
method Locally constrained curvature flow in a static rotationally symmetric space Nn+1\mathbf{N}^{n+1}, proving graphical solutions and static convexity preservation.
result Proves weighted geometric inequalities for static convex domains close to a slice of Nn+1\mathbf{N}^{n+1}.

Modeling complex systems with multi-resolution data and causal dependencies.

problem Accurate prediction of complex systems with varying causal dependencies and multi-resolution data.
method Score-based Variational Graphical Diffusion Model (Temporal-SVGDM) that constructs individual SDEs for each variable at its native resolution and couples them through a causal score mechanism.
result Improved prediction accuracy and causal understanding compared to existing methods, especially in temporal scenarios.

In this paper, we study the problem of sampling from a graphical model when the model itself is changing dynamically with time. This problem derives its interest from a variety of inference, learning, and sampling settings in machine learning, computer vision, statistical physics, and theoretical computer science. Whil…

2018-07-17abs ↗pdf ↗

This research uses machine learning and graphic statics to explore new structural forms.

problem Limiting structural design space and promoting creativity in design.
method Combining CEM, SOM, UMAP algorithms to generate and interpret equilibrium spatial networks.
result Understanding the manifold of a solution space with minimal data and increasing diversity of solutions.

Paper proves unique tangent flow at infinity for entropy-limited curve shortening.

problem Proving uniqueness of tangent flows for finite-entropy curve shortening.
method Rescaled backward convergence to a line, entropy analysis, and geometric properties.
result Ancient smooth curve shortening flow has a unique tangent flow at infinity.

The thesis tackles structure learning and parameter estimation for PGMs using penalized maximum likelihood methods.

problem Recovering the true structure of probabilistic graphical models (PGMs) for decision-making and interpretation.
method Penalized maximum likelihood estimation with the LASSO penalty.
result The approach successfully recovers the true structure of PGMs, including Bayesian networks and continuous time Bayesian networks, for both complete and incomplete data.

Study optimal adjustment sets for causal policies with hidden variables.

problem Estimating dynamic treatment regimes with hidden variables.
method Developed criteria for graphs without hidden variables to compare estimators, extended to dynamic policies and hidden variables.
result Existence and computation of optimal minimal and globally optimal adjustment sets.

Study classifies static potentials on 3-manifolds, proving one-dimensionality under specific conditions.

problem Classifying the dimension of static potentials on 3-manifolds.
method Analysis of relative zero sets of static potentials, using Miao and Tam's technique.
result Proves one-dimensionality of static potentials under specific conditions.

New static vacuum metrics confirmed for near Euclidean boundary data.

problem Establishing sufficient conditions for near Euclidean boundary data in static vacuum metrics.
method Using new arguments from studying the conjecture for arbitrary static vacuum metrics.
result Any hypersurface in a dense subfamily is static regular.

Extends static vacuum metrics with specific boundary conditions.

problem Proving the existence of static vacuum metrics with prescribed boundary data.
method Introducing static regular types (I) and (II), showing local well-posedness, and confirming Bartnik's conjecture.
result Confirms Bartnik's static vacuum extension conjecture for a broad range of boundary conditions.

Graphical lasso may fail to fit models when data points are insufficient.

problem When does graphical lasso fail to select and fit a graphical model?
method Computational experiments with graphical lasso.
result Graphical lasso may fail when the number of data points is less than the maximum likelihood threshold.

Study on rigidity of translating hypersurfaces not in graphical direction.

problem Rigidity of translating hypersurfaces not in graphical direction.
method Proved rigidity results for complete graphical translating hypersurfaces under specific conditions.
result Entire graphical translating surfaces are flat under certain conditions.

We classify static manifolds which admit more than one static decomposition whenever a condition on the curvature is fullfilled. For this, we take a standard static vector field and analyze its associated one parameter family of projections onto the base. We show that the base itself is a static manifold and the warpin…

2009-10-26abs ↗pdf ↗

Geometric inequalities for static convex domains in hyperbolic space proved.

problem Proving geometric inequalities for static convex domains in hyperbolic space.
method Using static convexity of flow hypersurfaces, new inequalities are derived.
result New family of geometric inequalities for static convex domains in hyperbolic space.

The paper classifies vacuum static spaces with harmonic curvature.

problem Classifying vacuum static spaces with harmonic curvature.
method Extending the 4-dimensional work by Kim-Shin, the paper classifies nn-dimensional spaces (n5n\geq 5).
result New counterexamples to the Fischer-Marsden conjecture on compact vacuum static spaces.

This is a short description of graphic lambda calculus, with special emphasis on a duality suggested by the two different appearances of knot diagrams, in lambda calculus and emergent algebra sectors of the graphic lambda calculus respectively. This duality leads to the introduction of the dual of the graphic beta move…

2013-02-04abs ↗pdf ↗

The paper investigates geometrical aspects of static spacetime with almost gradient Ricci solitons.

problem Geometrical properties of static spacetime with almost gradient Ricci solitons.
method Analyzing conditions and properties of static spacetime with almost gradient Ricci solitons.
result Conditions and properties of static spacetime with almost gradient Ricci solitons are determined.

Researchers found specific conformal groups for Einstein static universe models.

problem Understanding conformal groups of Einstein static universe models.
method Constructed explicit models for restricted conformal groups and universal covering groups.
result Determined all conformal Lorentz manifolds with maximal restricted conformal group dimension.

We consider Killing vector fields on standard static space-times and obtain equations for a vector field on a standard static space-time to be Killing. We also provide a characterization of Killing vector fields on standard static space-times with compact Riemannian parts.

2008-01-30abs ↗pdf ↗

We consider a continuous-time financial market that consists of securities available for dynamic trading, and securities only available for static trading. We work in a robust framework where a set of non-dominated models is given. The concept of semi-static completeness is introduced: it corresponds to having exact re…

2015-10-07abs ↗pdf ↗

This paper completes the classification of S1-symmetric static vacuum black holes.

problem Identifying all S1-symmetric static vacuum black hole solutions.
method Analyzing and constructing known solutions and proving their completeness.
result Proves that the Schwarzschild, Boost, and Weyl-Korotkin-Nicolai families exhaust all S1-symmetric static vacuum black hole solutions.

Paper proves static triples with specific curvature are standard hemispheres.

problem Proving rigidity of static triples with half harmonic Weyl curvature.
method Analyzes static triples with positive scalar curvature and half harmonic Weyl curvature.
result Proves static triples with half harmonic Weyl curvature and positive scalar curvature are standard hemispheres.

The paper redefines semi-static hedging as derivatives and calculates hedging errors.

problem The costs of maintaining hedging portfolios and the limitations of semi-static hedging.
method New integral representations, approximations, and efficient numerical methods for calculating Wiener-Hopf factors and Laplace-Fourier inversion.
result The hedging error of static hedging portfolios can be larger than variance-minimizing portfolios.

Existence proved for static vacuum extensions near Schwarzschild spheres.

problem Proving existence of static vacuum extensions near Schwarzschild spheres.
method Existence and local uniqueness of static vacuum extensions for Bartnik data on a sphere near a Schwarzschild sphere.
result Existence of static vacuum extensions near Schwarzschild spheres.

LIC compiles probabilistic models to generate efficient MCMC proposals.

problem Creating accurate Metropolis-Hastings proposals for Bayesian inference.
method Integrates probabilistic graphical models and neural networks in an open-source framework to optimize proposal distributions.
result LIC produces more efficient and robust MCMC proposals compared to existing methods.

Undirected graphical models, or Markov networks, are a popular class of statistical models, used in a wide variety of applications. Popular instances of this class include Gaussian graphical models and Ising models. In many settings, however, it might not be clear which subclass of graphical models to use, particularly…

2013-01-17abs ↗pdf ↗