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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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7142128 · Apr 202019922001200920172026
48 results for non-gradient expanding

Study of special Lorentzian Lie groups with 4D isometry group, finding all are non-gradient expanding Ricci solitons.

problem Characterizing homogeneous Lorentzian three-manifolds with a 4D isometry group.
method Explicit global coordinate description and proof of Ricci soliton properties.
result All special examples are non-gradient expanding Ricci solitons.

New degree theory proves existence of solitons on 4D manifolds.

problem Existence of gradient expanding solitons on 4D manifolds.
method Developed new degree theory for 4D, asymptotically conical gradient expanding solitons.
result Existence of solitons asymptotic to any cone over S^3 with non-negative scalar curvature.

The paper classifies Ricci solitons and studies harmonic vector fields on a specific Thurston geometry.

problem Classifying Ricci solitons and studying harmonic vector fields in a specific Thurston geometry.
method Left-invariant Riemannian metric classification and analysis of harmonic maps and vector fields.
result All Ricci solitons on (F4,g)(F^4,g) are expanding and non-gradient.

With a f-left-invariant Riemannian metric on a Lie group GG, we mean a Riemannian metric which is conformally equivalent to a left-invariant Riemannian metric, with the conformal factor ff. In this article, we study the geometry of such metrics and give a necessary and sufficient condition for an f-left-invariant Rie…

2014-01-03abs ↗pdf ↗

Gradient Ricci solitons can be extended to non-gradient Ricci solitons using energy function.

problem Extending the geometry of gradient Ricci solitons to non-gradient Ricci solitons.
method Using energy function EE to study the geometry.
result A non-steady Ricci soliton with symmetric covariant derivative is gradient.

This research analyzes how input and output layers affect deep neural networks' resistance to adversarial attacks.

problem The vulnerability of deep neural networks to adversarial inputs, especially non-gradient based attacks.
method Analysis of three different fully connected dense network classes with manipulated input and output layers.
result Manipulating input and output layers can significantly enhance a deep neural network's robustness against adversarial attacks.

Study defends shallow neural networks from data-poisoning attacks.

problem Protecting shallow neural networks from adversarial attacks during training.
method Developed a non-gradient stochastic algorithm for depth-2 neural networks, proving near-optimal trade-offs.
result Demonstrated improved performance over stochastic gradient descent under various data distributions.

We study 33-dimensional Ricci solitons which project via a semi-conformal mapping to a surface. We reformulate the equations in terms of parameters of the map; this enables us to give an ansatz for constructing solitons in terms of data on the surface. A complete description of the soliton structures on all the 33-di…

2005-10-14abs ↗pdf ↗

The three-dimensional Heisenberg group H3H_3 has three left-invariant Lorentz metrics g1g_1, g2g_2 and g3g_3. They are not isometric each other. In this paper, we characterize the left-invariant Lorentzian metric g1g_1 as a Lorentz Ricci soliton. This Ricci soliton g1g_1 is a shrinking non-gradient Ricci soliton. Likew…

2009-06-01abs ↗pdf ↗

In this paper, we briefly review the basic scheme of the pseudoinverse learning (PIL) algorithm and present some discussions on the PIL, as well as its variants. The PIL algorithm, first presented in 1995, is a non-gradient descent and non-iterative learning algorithm for multi-layer neural networks and has several adv…

2018-05-20abs ↗pdf ↗

A general Boltzmann machine with continuous visible and discrete integer valued hidden states is introduced. Under mild assumptions about the connection matrices, the probability density function of the visible units can be solved for analytically, yielding a novel parametric density function involving a ratio of Riema…

2017-12-20abs ↗pdf ↗

SGLD proves geometric ergodicity via reflection coupling for nonconvex log-concave distributions.

problem Proving geometric ergodicity of SGLD in nonconvex, log-concave settings.
method Reflection coupling technique to handle SGLD's time discretization and minibatch issues.
result SGLD has an invariant distribution and geometric ergodicity in W1W_1 distance.

Study on the spectrum of drift Laplacian on Ricci expanders.

problem Analyzing the spectrum of the drift Laplacian on Ricci expanders.
method Investigation of discrete spectrum under proper potential function, asymptotic behavior of potential function, and computation of eigenvalues.
result Discrete spectrum of the drift Laplacian on Ricci expanders with bounded Ricci curvature.

Expander graphs have been a focus of attention in computer science in the last four decades. In recent years a high dimensional theory of expanders is emerging. There are several possible generalizations of the theory of expansion to simplicial complexes, among them stand out coboundary expansion and topological expand…

2014-08-27abs ↗pdf ↗

The paper classifies expanding gradient Yamabe solitons based on scalar curvature.

problem Classifying expanding gradient Yamabe solitons based on scalar curvature.
method Rigorous analysis of scalar curvature in both cases: greater than and less than the soliton constant.
result Complete classification of nontrivial complete expanding gradient Yamabe solitons.

Study of complete space-like self-expanders in Minkovski space.

problem Characterize complete space-like self-expanders in Minkovski space.
method Use of maximum principle of Omori-Yau type to prove rigidity theorems.
result Classification of 2-dimensional complete space-like self-expanders with constant squared norm of the second fundamental form.

We derive a sharp lower bound for the scalar curvature of non-flat and non-compact expanding gradient Ricci soliton provided that the scalar curvature is non-negative and the potential function is proper. We also give an upper bound for the scalar curvature of noncompact expander when the Ricci curvature is nonpositive…

2020-01-30abs ↗pdf ↗

We give a cohomological characterisation of expander graphs, and use it to give a direct proof that expander graphs do not have Yu's property A.

2011-08-31abs ↗pdf ↗

Study classifies 4D Ricci solitons with specific curvature conditions.

problem Classifying 4D gradient steady and expanding Ricci solitons with given curvature properties.
method Asymptotically cylindrical and conical assumptions; half-harmonic and half-nonnegative isotropic curvature conditions.
result Partial classification of 4D gradient expanding Ricci solitons with half-nonnegative isotropic curvature.

We define a way of approximating actions on measure spaces using finite graphs; we then show that in quite general settings these graphs form a family of expanders if and only if the action is expanding in measure. This provides a somewhat unified approach to construct expanders. We also show that the graphs we obtain …

2016-10-19abs ↗pdf ↗

Study self-expanding solutions of mean curvature flow in various dimensions.

problem Characterize complete mean convex self-expanding hypersurfaces and their properties.
method Analyzing the function A2/H2|A|^2/|H|^2 and Aξ2/H2|A^ξ|^2/|H|^2 to understand the structure of self-expanders.
result Complete mean convex self-expanders are products of self-expanding curves and flat subspaces under certain conditions.

We define a relative entropy for two expanding solutions to mean curvature flow of hypersurfaces, asymptotic to the same cone at infinity. Adapting work of White and using recent results of Bernstein and Bernstein-Wang, we show that expanders with vanishing relative entropy are unique in a generic sense. This also impl…

2018-12-20abs ↗pdf ↗