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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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112225337449 · Jun 202019922001200920172026
48 results for complex 2-space

Defines horocyclic evolutes, parallels, and involutes of spacelike frontals in hyperbolic 2-space.

problem None explicitly stated; focuses on definitions and relations.
method Using enveloid theorem, defines horocyclic parallel and involute as normal envelopes of horocycles.
result Investigates relations among horocyclic evolutes, parallels, and involutes.

The paper classifies certain types of Lagrangian translators and self-expanders in complex 2-space.

problem Classifying Lagrangian translators and self-expanders in complex 2-space.
method Using a new Omori-Yau type maximum principle proved by Chen and Qiu.
result Several classification results of 2-dimensional complete Lagrangian translators and self-expanders.

The study finds conditions for free boundary Hamiltonian stationary discs in complex 2-space.

problem Conditions for free boundary Hamiltonian stationary Lagrangian discs in complex 2-space.
method Established conditions for weakly conformal, branched ΩΩ-free boundary Hamiltonian stationary Lagrangian immersions of discs.
result If conditions are met, a disc is a free boundary minimal immersion.

Let n be aninteger>4. There is a smoothly knotted n-dimensional sphere in (n+2)-space such that the singular point set of its projection in (n+1)-space consists of double points and that the components of the singular point set are two. (The sphere is knotted in the sense that it does not bound any embedded (n+1)-ball …

2018-03-08abs ↗pdf ↗

Classifies self-similar curve shortening flows in hyperbolic 2-space.

problem Classifying self-similar curve shortening flows in hyperbolic 2-space.
method Analyzes and classifies solutions in hyperbolic 2-space.
result Completes the classification of self-similar curve shortening flows in constant curvature model spaces in 2-dimensions.

We explain how to define the quantization of q-Hamiltonian SU(2)-spaces as push-forwards in twisted K-homology, and prove a `quantization commutes with reduction' theorem for this setting. As applications, we show how the Verlinde formulas for flat SU(2) or SO(3) bundles are obtained by localization in twisted K-homolo…

2008-12-08abs ↗pdf ↗

Study identifies unique minimizers for interaction kernels in particle systems.

problem Identifying unique interaction kernels in mean-field equations of interacting particles.
method Data-adaptive L2L^2 spaces, RKHS analysis, regularization.
result Characterization of identifiability in both finite and infinite particle systems.

An oriented link L in a 3-sphere S in complex 2-space is a C-boundary if it bounds a piece of algebraic curve in the 4-ball bounded by S. Using Kronheimer and Mrowka's proof of the Thom Conjecture, we construct many oriented knots which are not concordant to a C-boundary. We use the two-variable HOMFLY polynomial to gi…

2002-01-27abs ↗pdf ↗

Kernel online convex optimization (KOCO) is a framework combining the expressiveness of non-parametric kernel models with the regret guarantees of online learning. First-order KOCO methods such as functional gradient descent require only O(t)\mathcal{O}(t) time and space per iteration, and, when the only information on t…

2017-06-15abs ↗pdf ↗

Carrying further work of T.A. Crawford, we show that each component of the space of harmonic maps from the 22-sphere to complex projective 22-space of degree dd and energy 4πE4 πE is a smooth closed submanifold of the space of all CjC^j maps (j2)(j \geq 2). We achieve this by showing that the Gauss transform which rela…

1995-10-06abs ↗pdf ↗

The study proves a discrete Blaschke theorem for convex polygons in 2-dimensional space forms.

problem Investigating curvature and circumradius constraints for convex polygons in 2-space forms.
method Defining curvature at each vertex and proving a Blaschke-type theorem.
result The circumradius of a convex polygon satisfies a specific inequality related to its vertex curvatures.

The purpose of this article is to classify the real hypersurfaces in complex space forms of dimension 2 that are both Levi-flat and minimal. The main results are as follows: When the curvature of the complex space form is nonzero, there is a 1-parameter family of such hypersurfaces. Specifically, for each one-parameter…

1999-09-27abs ↗pdf ↗

A generic immersion of a planar graph into the 2-space is said to be knotted if there does not exist a trivial embedding of the graph into the 3-space obtained by lifting the immersion with respect to the natural projection from the 3-space to the 2-space. In this paper we show that if a generic immersion of a planar g…

2008-08-29abs ↗pdf ↗

This paper provides an explicit form for symmetric differentials and their corresponding holomorphic functions.

problem Understanding the correspondence between symmetric differentials and L2L^2 holomorphic functions on quotient spaces.
method Explicit description of the correspondence between symmetric differentials and weighted L2L^2-holomorphic functions.
result Derivation of several applications based on the explicit form of the correspondence.

A simple characterization is given of open subsets of a complex surface that smoothly perturb to Stein open subsets. As applications, complex 2-space C^2 contains domains of holomorphy (Stein open subsets) that are exotic R^4's, and others homotopy equivalent to the 2-sphere but cut out by smooth, compact 3-manifolds. …

2011-10-09abs ↗pdf ↗

Novel method learns memory kernels in Langevin equations.

problem Estimating memory kernels in Langevin equations.
method Regularized Prony method for correlation functions, followed by regression over Sobolev norm-based loss function with RKHS regularization.
result Method outperforms other regression estimators in exponentially weighted L^2 space.

Bayesian layer improves image segmentation and out-of-distribution detection.

problem Outlier detection in image segmentation.
method Parameter-efficient hierarchical convolutional Gaussian Processes in Wasserstein-2 space.
result Uncertainty estimates improve out-of-distribution detection.

This paper is concerned with the MAXVAR risk measure on L^2 space. We present an elementary and direct proof of its coherency and averseness. Based on the observation that the MAXVAR measure is a continuous convex combination of the CVaR measure, we provide an explicit formula for the risk envelope of MAXVAR.

2017-03-31abs ↗pdf ↗

A new method for efficient Gaussian process regression reduces complexity and improves scalability.

problem Efficient Gaussian process regression for large datasets.
method Learnable coreset-based variational inference for Gaussian processes.
result CVGP reduces the dimensionality of the variational parameter search space to linear complexity.

Jeffrey and Kirwan suggested expressions for intersection pairings on the reduced space of a Hamiltonian G-space in terms of multiple residues. In this paper we prove a residue formula for symplectic volumes of reduced spaces of a quasi-Hamiltonian SU(2)-space. The definition of quasi-Hamiltonian G-spaces was recently …

1999-06-14abs ↗pdf ↗

Efficiently models learning curves using Gaussian processes with latent Kronecker structure.

problem Joint modeling of machine learning model performance across hyper-parameters and training progress.
method Imposes latent Kronecker structure to leverage efficient product kernels and handle missing values.
result Matches the performance of a Transformer on a learning curve prediction task.

In this remark, we show how the monopole Frøyshov invariant, as well as the analogues of the Involutive Heegaard Floer correction terms d,d\underline{d},\overline{d}, are related to the Pin(2)\mathrm{Pin}(2)-equivariant Floer homology SWFHG\mathit{SWFH}^G_*. We show that the only interesting correction terms of a $\mathrm{Pin}…

2016-05-02abs ↗pdf ↗

The paper explores geometric calculations on probability manifolds derived from master equations.

problem Understanding geometric properties of probability manifolds from master equations.
method Deriving geometric quantities like Levi-Civita connection, gradient, Hessian, parallel transport, and curvatures on probability manifolds.
result Calculation of geometric quantities in probability manifolds, including curvatures and connections.

Researchers reinterpret complex hyperbolic orbifolds using line arrangements.

problem Understanding complex hyperbolic orbifolds and their representations.
method Using line arrangements and branched covers over blow-ups of projective 2-space.
result New representations of 3-manifolds and additional Deligne-Mostow lattices identified.

We show that Tolman's example (of a six dimensional Hamiltonian T2T^2-space with isolated fixed points and no compatible Kähler structure) can be constructed from the flag variety U(3)/U(1)3U(3)/U(1)^3 by U(2)U(2)-equivariant symplectic surgery. This implies that Tolman's space has a ``transversal multiplicity-free'' action of $…

1995-06-22abs ↗pdf ↗

The NN-body problem with a 1/r21/r^2 potential has, in addition to translation and rotational symmetry, an effective scale symmetry which allows its zero energy flow to be reduced to a geodesic flow on complex projective N2N-2-space, minus a hyperplane arrangement. When N=3N=3 we get a geodesic flow on the two-sphere min…

2015-02-02abs ↗pdf ↗

Bayesian Gaussian Processes layer detects out-of-distribution data in medical imaging.

problem Detecting out-of-distribution data in medical imaging tasks.
method Parameter-efficient hierarchical convolutional Gaussian Processes in Wasserstein-2 space.
result Uncertainty estimates enable superior out-of-distribution detection compared to previous methods.

We study paracontact metric (κ,μ)(κ,μ)-spaces with κ=1κ=-1, equivalent to h2=0h^2=0 but not h=0h=0. In particular, we will give an alternative proof of Theorem 3.2 of [11] and present examples of paracontact metric (1,2)(-1,2)-spaces and (1,0)(-1,0)-spaces of arbitrary dimension with tensor hh of every possible constant rank. We w…

2014-08-28abs ↗pdf ↗

Paper tackles measure estimation in barycentric coding model.

problem Estimating an unknown measure in the barycentric coding model.
method Geometric, statistical, and computational insights; quadratic optimization problem; empirical i.i.d. samples algorithm.
result Proves precise rates of convergence for algorithm, ensuring statistical consistency.