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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.

168,742 papers · 148 categories

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48 results for stable extensions

The paper solves conditions for non-singular extensions of fold maps.

problem Conditions for the existence of non-singular extensions of horizontal stable fold maps.
method Defined a combinatorial object called a pairing map to prove equivalence of existence.
result Existence of non-singular extensions is equivalent to the existence of a pairing map.

Survey on invariant quasimorphisms and their relation to stable commutator length.

problem Understanding the relationship between invariant quasimorphisms and stable commutator length.
method Review of existing methods and examples in invariant quasimorphisms and their relation to stable commutator length.
result The existence of non-extendable invariant quasimorphisms is closely related to the behavior of stable mixed commutator length.

A new distribution family extends the α\alpha-stable distribution with a degree of freedom parameter.

problem Lack of moments in the α\alpha-stable distribution.
method Wright function framework to combine and extend distribution families.
result Generalized α\alpha-stable distribution with valid moments.

Constructs a map from stable extensions to irreducible metrics on Riemann surfaces.

problem Understanding and constructing cone spherical metrics on Riemann surfaces.
method Using the theory of indigenous bundles, the construction involves developing maps and stable extensions of two line bundles.
result Generically injective map from stable extensions to irreducible metrics, with properties about effective divisors.

We prove a Hitchin-Kobayashi correspondence for extensions of Higgs bundles. The results generalize known results for extensions of holomorphic bundles. Using Simpson's methods, we construct moduli spaces of stable objects. In an appendix we construct Bott-Chern forms for Higgs bundles

2000-09-05abs ↗pdf ↗

An Artin HNN-extension is an HNN-extension of an Artin group in which the stable letter conjugates a pair of suitably chosen subsets of the standard generating set. We show that some finite index subgroup of an Artin HNN-extension embeds in an Artin group. We also obtain an analogous result for Coxeter groups.

2008-02-12abs ↗pdf ↗

Study on stable translation lengths of surface homeomorphisms and their approximations.

problem Understanding stable translation lengths of homeomorphisms and their finite approximations.
method Comparing stable translation lengths of homeomorphisms and their finite approximations on curve graphs.
result Stable translation length of homeomorphisms with dense periodic points equals the supremum of their approximations.

In this paper we present a construction of stable bundles on Calabi-Yau threefolds using the method of bundle extensions. This construction applies to any given Calabi-Yau threefold with h^{1,1}>1. We give examples of stable bundles of rank 2 and 4 constructed out of pure geometric data of the given Calabi-Yau space. A…

2011-11-04abs ↗pdf ↗

Paper studies curvature of stable surfaces meeting at a common boundary.

problem Stable multiple junction surfaces and their curvature estimates.
method Derived LpL^p estimate of curvature for stable multiple junction surfaces.
result Bernstein Theorem holds for stable multiple junction surfaces in certain cases.

In this paper we obtain a complete characterization of pseudo-collarable nn-manifolds for n6n\geq 6. This extends earlier work by Guilbault and Tinsley to allow for manifolds with noncompact boundary. In the same way that their work can be viewed as an extension of Siebenmann's dissertation that can be applied to mani…

2018-07-30abs ↗pdf ↗

New methods show surfaces in HNN extensions have complexity at least their boundary complexity.

problem Complexity of surfaces in HNN extensions and nontriviality of one-relator quotients.
method Stable commutator length and HNN extensions.
result Surfaces in certain HNN extensions have complexity no less than their boundary complexity.

In previous work, the authors studied the linear stability of algebraic Ricci solitons on simply connected solvable Lie groups (solvsolitons), which are stationary solutions of a certain normalization of Ricci flow. Many examples were shown to be linearly stable, leading to the conjecture that all solvsolitons are line…

2014-09-10abs ↗pdf ↗

Stable random variables are motivated by the central limit theorem for densities with (potentially) unbounded variance and can be thought of as natural generalizations of the Gaussian distribution to skewed and heavy-tailed phenomenon. In this paper, we introduce stable graphical (SG) models, a class of multivariate st…

2014-04-16abs ↗pdf ↗

The paper develops a Galois theory for cluster algebras and Riemann surfaces.

problem Building a correspondence between cluster subalgebras and automorphism groups.
method Introducing Galois-like extensions and automorphism groups for cluster algebras.
result Conditions for Galois-like extensions and properties of cluster automorphism groups.

Locally stable maps S3R4S^3\to\mathbb{R}^4 are classified up to homotopy through locally stable maps. The equivalence class of a map ff is determined by three invariants: the isotopy class σ(f)σ(f) of its framed singularity link, the generalized normal degree ν(f)ν(f), and the algebraic number of cusps κ(f)κ(f) of any extensi…

2013-12-13abs ↗pdf ↗

These course note first provide an introduction to secondary characteristic classes and differential cohomology. They continue with a presentation of a stable homotopy theoretic approach to the theory of differential extensions of generalized cohomology theories including products and Umkehr maps.

2012-08-20abs ↗pdf ↗

The paper proposes a method to stabilize predictions by identifying causal variables using a seed variable.

problem Stable prediction across unknown test data with potential spurious correlations.
method Conditional independence test based algorithm using a seed variable to separate causal from non-causal variables.
result The algorithm precisely separates causal and non-causal variables for stable prediction across test data.

We consider compact minimal surfaces f ⁣:MS3f\colon M\to S^3 of genus 2 which are homotopic to an embedding. We assume that the associated holomorphic bundle is stable. We prove that these surfaces can be constructed from a globally defined family of meromorphic connections by the DPW method. The poles of the meromorphic co…

2009-03-27abs ↗pdf ↗

Given a planar curve singularity, we prove a conjecture of Oblomkov-Shende, relating the geometry of its Hilbert scheme of points to the HOMFLY polynomial of the associated algebraic link. More generally, we prove an extension of this conjecture, due to Diaconescu-Hua-Soibelman, relating stable pair invariants on the c…

2012-10-23abs ↗pdf ↗

We study the use of "sign αα-stable random projections" (where 0<α20<α\leq 2) for building basic data processing tools in the context of large-scale machine learning applications (e.g., classification, regression, clustering, and near-neighbor search). After the processing by sign stable random projections, the inner pr…

2015-04-27abs ↗pdf ↗

New method improves curvature estimates for stable surfaces.

problem Curvature estimates for stable surfaces in Rn+1\mathbb{R}^{n+1}.
method Replacing Young's inequality with Hölder's inequality simplifies and improves curvature estimates.
result The new method yields a strictly smaller constant and a natural extension to CMC settings.

There is an equivalence relation on the set of smooth maps of a manifold into the stable unitary group, defined using a Chern-Simons type form, whose equivalence classes form an abelian group under ordinary block sum of matrices. This construction is functorial, and defines a differential extension of odd K-theory, fit…

2012-11-19abs ↗pdf ↗

Paper proposes HTAF for stable training of binary neural networks.

problem Challenges in training binary neural networks with gradient-based optimization.
method HTAF is a smooth approximation to the Heaviside function that enables stable training.
result HTAF enables stable training of various binary neural networks with gradient-based optimization.

This paper improves generative models by using data scaling and theoretical analysis.

problem Challenges in selecting noise distributions for stable learning in generative models.
method Introduces Scale-GAN, which uses data scaling and variance-based regularization.
result Data scaling controls the bias-variance trade-off and improves stability and accuracy.

We study near-alternating links whose diagrams satisfy conditions generalized from the notion of semi-adequate links. We extend many of the results known for adequate knots relating their colored Jones polynomials to the topology of essential surfaces and the hyperbolic volume of their complements: we show that the Str…

2017-08-16abs ↗pdf ↗

Paper introduces stable vectorization for multiparameter PH using signed barcodes.

problem Lack of stable vectorization methods for multiparameter persistent homology.
method Signed barcodes as measures for stable vectorization of MPH.
result Stable feature vectors from signed barcodes improve performance in data science.

Study normal tempered stable processes for energy derivative pricing.

problem Pricing energy derivatives with spot price models.
method Specified statistical properties, derived non-arbitrage conditions, developed efficient algorithm for trajectory generation.
result Validated pricing models for various energy contracts.

IMM generates high-quality samples in few steps with stable training.

problem Slow inference and instability in generating high-quality samples using diffusion models and Flow Matching.
method Inductive Moment Matching (IMM) is a new generative model for one- or few-step sampling with a single-stage training procedure.
result IMM achieves state-of-the-art 2-step FID of 1.98 on CIFAR-10 for a model trained from scratch.

In this paper are studied the nets of principal curvature lines on surfaces embedded in Euclidean 33-space near their end points, at which the surfaces tend to infinity. This is a natural complement and extension to smooth surfaces of the work of Garcia and Sotomayor (1996), devoted to the study of principal curvature…

2005-01-24abs ↗pdf ↗

We introduce the anti-profile Support Vector Machine (apSVM) as a novel algorithm to address the anomaly classification problem, an extension of anomaly detection where the goal is to distinguish data samples from a number of anomalous and heterogeneous classes based on their pattern of deviation from a normal stable c…

2013-01-15abs ↗pdf ↗

The paper provides a finite-sample deviation bound for stable autoregressive processes.

problem Deviation bounds for least squares estimators in Gaussian AR(n) processes.
method Utilizes martingale concentration inequalities and tail-bound for χ² distributed variables.
result Problem-dependent finite-time bound on the deviation probability of AR(n) process parameters.

We show that the universal odd Chern form, defined on the stable unitary group UU, extends to the loop group LULU in a way that is closed with respect to an equivariant-type differential. This provides an odd analogue to the Bismut-Chern form. We also describe the associated transgression form, the so-called Bismut-Ch…

2013-11-25abs ↗pdf ↗

A new method for feature selection robust to noise and design variability.

problem Feature selection in high-dimensional regression under sampling variability and measurement error.
method Injects controlled additive noise into the design matrix, fits a base selector, and aggregates selection frequencies.
result Improved robustness compared to Stability Selection and standard base selectors.

In this paper, we prove that if MtRn+1M_t\subset \mathbb{R}^{n+1}, 2n62\leq n\leq 6, is the nn-dimensional closed embedded F\mathcal{F}-stable solution to mean curvature flow with mean curvature of MtM_t is uniformly bounded on [0,T)[0,T) for T<T<\infty, then the flow can be smoothly extended over time TT.

2013-04-09abs ↗pdf ↗

Proposes a new portfolio optimization method considering reward, dispersion, and asymmetry.

problem Capturing fat-tails and asymmetry in asset return distributions.
method Market model with tempered stable distribution; extended mean-variance optimization.
result Closed-form solutions for VaR and CVaR; efficient frontier extended to three dimensions.