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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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275582109 · May 202619922001200920172026
48 results for tangent quadratic

New lower bounds improve logistic log-likelihood optimization and inference.

problem Designing computationally tractable lower bounds for logistic log-likelihoods.
method Developed a piece-wise quadratic lower bound that uniformly improves tangent quadratic minorizers.
result Improves the speed of convergence and accuracy of variational Bayes approximations.

A skew brane is an immersed codimension 2 submanifold in affine space, free from pairs of parallel tangent spaces. Using Morse theory, we prove that a skew brane cannot lie on a quadratic hypersurface. We also prove that there are no skew loops on embedded ruled developable discs in 3-space. The paper extends recent wo…

2003-02-21abs ↗pdf ↗

Develops second order infinitesimal structures on Teichmüller space.

problem Understand the infinitesimal structures of Teichmüller space.
method Formulated second order infinitesimal structures over Teichmüller space.
result Affirmative answers to two folklore problems on Teichmüller space.

In this paper, first we give a detailed study on the structure of a transitive Lie 2-algebroid and describe a transitive Lie 2-algebroid using a morphism from the tangent Lie algebroid TM to a strict Lie 3-algebroid constructed from derivations. Then we introduce the notion of a quadratic Lie 2-algebroid and define its…

2018-07-31abs ↗pdf ↗

This article studies the harmonicity of vector fields on Riemannian manifolds, viewed as maps into the tangent bundle equipped with a family of Riemannian metrics. Geometric and topological rigidity conditions are obtained, especially for surfaces and vector fields of constant norm, and existence is proved on two-tori.…

2008-09-16abs ↗pdf ↗

Minimal hypersurfaces with cylindrical tangent cones constructed and analyzed.

problem Constructing minimal hypersurfaces with specific geometric properties.
method Constructing minimal hypersurfaces with cylindrical tangent cones and proving unique continuation results.
result Existence and properties of minimal hypersurfaces with cylindrical tangent cones.

Sub-Riemannian cubics are a generalisation of Riemannian cubics to a sub-Riemannian manifold. Cubics are curves which minimise the integral of the norm squared of the covariant acceleration. Sub-Riemannian cubics are cubics which are restricted to move in a horizontal subspace of the tangent space. When the sub-Riemann…

2017-12-08abs ↗pdf ↗

Quantum neural tangent kernels help understand variational quantum circuits in machine learning.

problem Designing and predicting performance of variational quantum circuits.
method Using quantum neural tangent kernels and dynamical equations for loss functions.
result Analytical solutions for training dynamics in variational quantum circuits.

The paper connects two descriptions of Teichmüller space tangent spaces using harmonic vector fields.

problem Describing tangent spaces to Teichmüller space in two different ways.
method Using harmonic vector fields inspired by harmonic maps to connect the two descriptions.
result A harmonic vector field on the upper half plane describes a connection on the universal Teichmüller curve.

Introduces K\mathbb{K}-framings for surfaces, generalizing quadratic forms.

problem Generalizing quadratic forms to commutative rings with unit.
method Introduces K\mathbb{K}-framings and maps based loops to homology classes.
result Bijection between K\mathbb{K}-framings and twisted cocycles for surfaces with positive genus.

We prove that if two conformal embeddings between Riemann surfaces with finite topology are homotopic, then they are isotopic through conformal embeddings. Furthermore, we show that the space of all conformal embeddings in a given homotopy class deformation retracts into a point, a circle, a torus, or the unit tangent …

2015-03-18abs ↗pdf ↗

Study on regularity of optimal transport maps on convex domains with quadratic cost.

problem Regularity of optimal transport maps between convex domains with quadratic cost.
method Analysis of CαC^α-densities and C1,αC^{1, α} boundary conditions, monotonicity formula for optimal transport maps.
result Proves C1,1εC^{1, 1-\varepsilon}-regularity for nondegenerate CαC^α-densities and C2,αC^{2, α}-regularity for C1,αC^{1, α} boundary.

The paper explores how the Gauss curvature of Riemannian surfaces can be represented as the divergence of a vector field.

problem Representing the Gauss curvature of Riemannian surfaces as the divergence of a vector field.
method Investigates the existence of a metric linear connection of zero curvature and its role in differential geometry.
result Provides conditions under which a Riemannian surface can be considered a generalized Berwald surface.

Global isothermic immersions are defined and studied with the aid of a connection between quadratic differentials and immersions. The applications are two problems stemming from the fundamental question: how much data is needed to identify a surface immersion (Christoffel's problem) or its shape (Bonnet's problem). A s…

1997-12-21abs ↗pdf ↗

The study examines complete Kähler manifolds with nonnegative Ricci curvature and discovers rigidity properties.

problem Characterizing and understanding properties of complete Kähler manifolds with nonnegative Ricci curvature.
method Analyzes volume growth, scalar curvature, and curvature decay to establish rigidity results.
result Complete Ricci flat Kähler manifolds with Euclidean volume growth are rigid, with unique tangent cones.

It is shown that analytic conformal submersions of S3S^3 are given by intersections of (not necessary closed) complex surfaces with a quadratic real hyper-surface in CP3.\mathbb{C}P^3. A new description of the space of circles in the 3-sphere in terms of a natural bilinear form on the tangent sphere bundle of S3S^3 is gi…

2013-12-03abs ↗pdf ↗

We analyze the eigenvalue distribution of a neural network's kernel under specific scaling.

problem Analyzing the eigenvalue distribution of the Neural Tangent Kernel (NTK) of a neural network.
method Asymptotic analysis of the NTK matrix under given scaling conditions.
result The eigenvalue distribution is described as a free multiplicative convolution of the Marchenko-Pastur distribution and a deterministic distribution.

Unified analysis of multi-task functional linear regression with manifold and composite penalties.

problem Estimating slope functions from functional data with multi-task learning.
method Penalized splines with manifold constraint and composite quadratic penalty.
result Unified convergence upper bound and phase transition behaviors for estimators.

We find a minimal differential graded (dg) operad whose generic representations in RnR^n are in one-to-one correspondence with formal germs of those endomorphisms of the tangent bundle to RnR^n which satisfy the Nijenhuis integrability condition. This operad is of a surprisingly simple origin -- it is the cobar constru…

2004-03-15abs ↗pdf ↗

We study the supervised learning problem under either of the following two models: (1) Feature vectors xi{\boldsymbol x}_i are dd-dimensional Gaussians and responses are yi=f(xi)y_i = f_*({\boldsymbol x}_i) for ff_* an unknown quadratic function; (2) Feature vectors xi{\boldsymbol x}_i are distributed as a mixture of two $…

2019-06-21abs ↗pdf ↗

Neural networks generalize well despite overfitting due to high capacity.

problem Understanding why deep neural networks generalize well in overparameterized settings.
method High-dimensional asymptotic analysis of generalization under kernel regression with Neural Tangent Kernel.
result Test error exhibits non-monotonic behavior and can have additional peaks and descents in the overparameterized regime.

Periodic geodesics on the modular surface correspond to periodic orbits of the geodesic flow in its unit tangent bundle PSL2(Z)\PSL2(R)\mathrm{PSL}_2(\mathbb{Z})\backslash\mathrm{PSL}_2(\mathbb{R}). The complement of any finite number of orbits is a hyperbolic 33-manifold, which thus has a well-defined volume. We present strong nu…

2017-05-12abs ↗pdf ↗

We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consists of Locally Linear Embedding (LLE), Laplacian Eigenmap, Local Tangent Space Alignment (LTSA), Hessian Eigenmaps (HLLE), and Diffusion maps.…

2008-06-16abs ↗pdf ↗

Nijenhuis tensors NN on Courant algebroids compatible with the pairing are studied. This compatibility condition turns out to be of the form N+N=aIN+N^*=aI for irreducible Courant algebroids, in particular for the extended tangent bundles TMTMTM\oplus T^*M. It is proved that compatible Nijenhuis tensors on irreducible Coura…

2006-01-31abs ↗pdf ↗

Let MM be a pinched negatively curved Riemannian manifold, whose unit tangent bundle is endowed with a Gibbs measure mFm_F associated to a potential FF. We compute the Hausdorff dimension of the conditional measures of mFm_F. We study the mFm_F-almost sure asymptotic penetration behaviour of locally geodesic lines of…

2014-05-09abs ↗pdf ↗

We study minimal graphic functions on complete Riemannian manifolds $\Si$ with non-negative Ricci curvature, Euclidean volume growth and quadratic curvature decay. We derive global bounds for the gradients for minimal graphic functions of linear growth only on one side. Then we can obtain a Liouville type theorem with …

2013-10-08abs ↗pdf ↗

Affine vector fields on pseudo-Kähler manifolds are symplectic.

problem Characterize affine vector fields on compact pseudo-Kähler manifolds.
method Two proofs provided, showing affine vector fields are symplectic and discuss properties of Lie derivatives.
result Affine vector fields on compact pseudo-Kähler manifolds are symplectic.

During an operation of surgery on a Riemannian manifold and along a given embedded submanifold, one needs to replace the (old) metric induced by the exponential map on a tubular neighborhood of the submanifold by the Sasakian metric. So a good understanding of the behavior of these two metrics is important, this is our…

2006-07-21abs ↗pdf ↗

This paper introduces tangent display maps to simplify tangent category theory.

problem The category of smooth manifolds does not admit all pullbacks, complicating tangent category theory.
method Develops tangent display maps as a special class of maps well-behaved with respect to pullbacks.
result Tangent display maps simplify previous work in tangent categories and provide a new way to define open subobjects.

Extending Lévi-Civita's concept to non-quadratic spaces, this study finds extremal compatible linear connections.

problem Extending the Lévi-Civita connection to non-quadratic spaces.
method Hybrid conditional extremum problem, Lagrange multipliers, geometric approach.
result Existence and characterization of extremal compatible linear connections.

Recent research shows that the following two models are equivalent: (a) infinitely wide neural networks (NNs) trained under l2 loss by gradient descent with infinitesimally small learning rate (b) kernel regression with respect to so-called Neural Tangent Kernels (NTKs) (Jacot et al., 2018). An efficient algorithm to c…

2019-10-03abs ↗pdf ↗

Study on triviality of tangent and generalized tangent bundles of manifolds.

problem Triviality of tangent and generalized tangent bundles of manifolds.
method Analyzing relations between tangent bundle TMTM and generalized tangent bundle TM=TMTM\mathbb{T}M = TM\oplus T^*M of manifolds.
result The generalized tangent bundle of a parallelizable manifold is trivial, but the converse is not always true.

Neural networks benefit from intermediate representations, reducing sample complexity.

problem Understanding how neural networks leverage intermediate representations for hierarchical learning.
method Fixed, randomly initialized neural network as a representation function, compared with raw inputs and other trainable networks.
result Neural representations can achieve improved sample complexities compared to raw inputs, especially for low-rank polynomials.