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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.

168,695 papers · 148 categories

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48 results for zero potential

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.

In this paper we study some global properties of static potentials on asymptotically flat 33-manifolds (M,g)(M,g) in the nonvacuum setting. Heuristically, a static potential ff represents the (signed) length along MM of an irrotational timelike Killing vector field, which can degenerate on surfaces corresponding to the…

2014-12-02abs ↗pdf ↗

Study proves a sharp upper bound for the zero set area of a static manifold's potential.

problem Proving a sharp upper bound for the zero set area of a static manifold's potential.
method Proved a rigidity theorem for the Euclidean closed unit ball in R^3.
result Sharp upper bound for the area of the zero set of the potential.

Study on Sturm-Liouville problems with zero potential and Neumann boundary conditions.

problem Understanding properties of Sturm-Liouville problems with zero potential.
method Developed simple criteria for assessing properties of regular Sturm-Liouville problems in terms of coefficient functions.
result Proved various properties of Sturm-Liouville problems with zero potential under Neumann boundary conditions.

Study uses zero-shot models to forecast mortality rates globally.

problem Forecasting mortality rates without task-specific fine-tuning.
method Two state-of-the-art foundation models (TimesFM and CHRONOS) and traditional/machine learning methods were evaluated.
result CHRONOS outperformed traditional methods for shorter-term forecasts, but TimesFM consistently underperformed.

We examine the fixed points to first-order RG flow of a non-linear sigma model with background metric, dilaton and tachyon fields. We show that on compact target spaces, the existence of fixed points with non-zero tachyon is linked to the sign of the second derivative of the tachyon potential V(T)V''(T) (this is the anal…

2006-05-23abs ↗pdf ↗

We show that if an asymptotically flat manifold with horizon boundary admits a global static potential, then the static potential must be zero on the boundary. We also show that if an asymptotically flat manifold with horizon boundary admits an unbounded static potential in the exterior region, then the manifold must c…

2017-06-12abs ↗pdf ↗

The paper studies static manifolds with boundary and their properties.

problem Properties of static manifolds with boundary.
method Theorems relating topology and geometry, isoperimetric inequality, uniqueness theorems.
result Characterization of the round ball in Euclidean 3-space as the only scalar-flat static manifold with mean-convex boundary.

New method uses diffusion models to generate proteins with specific motifs.

problem Generating proteins with specific functional substructures (motifs) using diffusion models.
method Adapting SMC-aided diffusion posterior samplers to zero-shot scaffolding tasks.
result Proposed potentials and samplers improve performance in generating proteins with desired motifs.

We study the modularity of the genus zero open Gromov-Witten potentials and its generating matrix factorizations for elliptic orbifolds. These objects constructed by Lagrangian Floer theory are a priori well-defined only around the large volume limit. It follows from modularity that they can be analytically continued o…

2014-12-03abs ↗pdf ↗

We consider the question whether a static potential on an asymptotically flat 3-manifold can have nonempty zero set which extends to the infinity. We prove that this does not occur if the metric is asymptotically Schwarzschild with nonzero mass. If the asymptotic assumption is relaxed to the usual assumption under whic…

2014-03-17abs ↗pdf ↗

Paper proposes a new framework for predictive optimization without training data.

problem Prediction in a new domain without training samples.
method Proposes a simple framework for predictive optimization with zero-shot domain adaptation.
result Demonstrates the potential usefulness of the proposed framework through numerical experiments.

We prove the Fundamental Gap Conjecture, which states that the difference between the first two Dirichlet eigenvalues (the spectral gap) of a Schrödinger operator with convex potential and Dirichlet boundary data on a convex domain is bounded below by the spectral gap on an interval of the same diameter with zero poten…

2010-06-09abs ↗pdf ↗

Statistical Lie algebras with constant curvature are linked to locally conformally Kähler structures.

problem Characterizing Lie algebras with constant curvature and their geometric implications.
method Constructing statistical manifolds and Sasakian structures to relate Lie algebras to locally conformally Kähler structures.
result Statistical Lie algebras of constant curvature correspond to locally conformally Kähler Lie algebras.

Paper improves zero-shot protein stability prediction by clarifying free-energy foundations.

problem Improving zero-shot protein stability prediction using inverse folding models.
method Clarifying the free-energy foundations of inverse folding models and proposing better estimates of relative stability.
result Significant gains in zero-shot performance can be achieved with simple methods.

New cyclicity measures defined in weighted Besov spaces, with stability and geometric analysis.

problem Characterizing cyclicity in weighted Besov spaces.
method Defining cyclicity indices based on potential theory and capacity, studying stability under perturbations, and linking zero set structure to cyclicity.
result Novel invariants and conditions for cyclicity in various function spaces.

In this paper we provide a new method for establishing the rotational symmetry of the solutions to a couple of very classical overdetermined problems arising in potential theory, in both the exterior and the interior punctured domain. Thanks to a conformal reformulation of the problems, we obtain Riemannian manifolds w…

2014-03-23abs ↗pdf ↗

In this paper we study the phenomenon of phase transitions for the geodesic flow on some geometrically finite negatively curved manifolds. We define a class of potentials going slowly to zero through the cusps of MM for which the pressure map exhibits a phase transition. By a careful choice of the metric at the cusp w…

2017-04-09abs ↗pdf ↗

Randomly initialized wide neural networks with zero-mean activations are nearly independent, potentially solving AI interpretability limits.

problem Measuring the limits of AI interpretability.
method Randomly initialized neural networks with large width and zero-mean activation functions.
result Neural networks with zero-mean activations are nearly independent, solving the computational no-coincidence conjecture.

The Kepler-Heisenberg problem is that of determining the motion of a planet around a sun in the Heisenberg group, thought of as a three-dimensional sub-Riemannian manifold. The sub-Riemannian Hamiltonian provides the kinetic energy, and the gravitational potential is given by the fundamental solution to the sub-Laplaci…

2019-12-28abs ↗pdf ↗

Proves non-positivity of Hirzebruch form on stable weights and connects to flat logarithmic connections.

problem Non-positivity of Hirzebruch form on stable weights
method Kempf--Ness and frame-potential inequality
result Zero locus of Hirzebruch form on stable weights corresponds to flat logarithmic connections

Study of metrics on positive-definite matrices from power potential, linking to power means.

problem Understanding metrics on positive-definite matrices derived from power potential.
method Explicit expressions for geodesics and distance function derived from Hessian of power potential.
result Geodesics and distance function converge to weighted matrix geometric mean as β tends to zero.

Generative classifiers show surprising human-like performance.

problem Comparing generative and discriminative models for object recognition.
method Built on recent advances in generative modeling to create classifiers and compared them to discriminative models.
result Generative classifiers outperform discriminative models in several key areas, including shape bias and out-of-distribution accuracy.

Upper bounds for magnetic Laplacian eigenvalues on planar domains.

problem Estimating the ground state energy of magnetic Laplacian on planar domains.
method Gauge invariance, flux analysis, and Cheeger-type constants.
result Upper bounds on the ground state energy depending on the ratio of holes to area, with sharpness and optimality conditions.

A new model synthesizes population with fewer structural and sampling zeros.

problem Synthesizing a feasible and diverse synthetic population from limited data.
method A deep generative model with two regularizations to minimize structural zeros and preserve sampling zeros.
result The model significantly improves feasibility and diversity of synthetic populations.

Large deep learning models offer significant accuracy gains, but training billions to trillions of parameters is challenging. Existing solutions such as data and model parallelisms exhibit fundamental limitations to fit these models into limited device memory, while obtaining computation, communication and development …

2019-10-04abs ↗pdf ↗

New method parameterizes solutions to linearized vacuum constraints on Einstein manifolds.

problem Parameterizing solutions to linearized vacuum constraints on Einstein manifolds.
method Parameterize solutions using unconstrained potentials and shield linearized gravitational fields.
result Showed how to shield linearized gravitational fields without TT gauge for any value of cosmological constant.

OTSeg uses multi-prompt Sinkhorn attention to improve zero-shot semantic segmentation.

problem Leveraging pre-trained CLIP knowledge to align text embeddings with pixel embeddings.
method OTSeg employs Multi-Prompts Sinkhorn (MPS) and Multi-Prompts Sinkhorn Attention (MPSA) to enhance semantic feature matching.
result OTSeg achieves state-of-the-art performance in zero-shot semantic segmentation tasks.

A conformal geometry determines a distinguished, potentially singular, variant of the usual Yamabe problem, where the conformal factor can change sign. When a smooth solution does change sign, its zero locus is a smoothly embedded separating hypersurface that, in dimension three, is necessarily a Willmore energy minimi…

2019-12-30abs ↗pdf ↗

A new geometric framework resolves singularities in anomalous transport.

problem Mathematical singularities in quantum Berry connections.
method Hodge-de Rham decomposition of the Brillouin zone.
result A smooth geometric proxy potential for anomalous transport.

Paper proves no nontrivial solutions to certain elliptic equations on graphs.

problem Proving nonexistence of solutions to semilinear elliptic equations on metric graphs.
method Constructed a modified distance function and introduced test functions to show nonexistence under volume growth conditions.
result No nontrivial solutions exist for the equations under suitable conditions.

Paper explores using LLMs for zero-shot reinforcement learning in continuous spaces.

problem Leveraging LLMs for continuous state spaces in reinforcement learning.
method Disentangled In-Context Learning (DICL) to handle multivariate data and control signal.
result DICL produces well-calibrated uncertainty estimates in reinforcement learning settings.

Study on heat flow across two half-lines with special boundary conditions.

problem Low energy mode of heat flow transmission across a Grushin-type cylinder.
method Analysis of heat equation with inverse-square potential and bridging boundary conditions.
result First insight into qualitative features of the heat flow solution at later times.

The Ma-Trudinger-Wang curvature --- or cross-curvature --- is an object arising in the regularity theory of optimal transportation. If the transportation cost is derived from a Hamiltonian action, we show its cross-curvature can be expressed in terms of the associated Jacobi fields. Using this expression, we show the l…

2009-08-31abs ↗pdf ↗

While the Anomaly flow was originally motivated by string theory, its zero slope case is potentially of considerable interest in non-Kahler geometry, as it is a flow of conformally balanced metrics whose stationary points are precisely Kahler metrics. We establish its convergence on Kahler manifolds for suitable initia…

2018-05-02abs ↗pdf ↗

Study on symmetric hyperbolic systems with nonlocal potentials, proving well-posedness and existence of solutions.

problem Initial value problem for symmetric hyperbolic systems with nonlocal potentials.
method Analysis on globally hyperbolic Lorentzian manifolds, proving existence, uniqueness, and regularity of solutions.
result Established well-posedness of the Cauchy problem for symmetric hyperbolic systems with nonlocal potentials.