The paper solves conditions for non-singular extensions of fold maps.
arXiv research
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Survey on invariant quasimorphisms and their relation to stable commutator length.
A new distribution family extends the -stable distribution with a degree of freedom parameter.
We prove a case of the conjecture of Douglas, Reinbacher and Yau about the existence of stable vector bundles with prescribed Chern classes on a Calabi-Yau threefold. For this purpose we prove the existence of certain stable vector bundle extensions over elliptically fibered Calabi-Yau threefolds.
Constructs a map from stable extensions to irreducible metrics on Riemann surfaces.
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
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.
Study on stable translation lengths of surface homeomorphisms and 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…
Paper studies curvature of stable surfaces meeting at a common boundary.
Construct Hermitian-Einstein metrics on stable holomorphic vector bundles using dynamical methods.
In this paper we obtain a complete characterization of pseudo-collarable -manifolds for . 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…
New methods show surfaces in HNN extensions have complexity at least their boundary complexity.
Characterizes W-congruences to study their stable umbilical points.
Proves rigidity of stable free boundary hypersurfaces in 5-manifolds.
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…
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…
A new nonparametric approach for system identification has been recently proposed where the impulse response is seen as the realization of a zero--mean Gaussian process whose covariance, the so--called stable spline kernel, guarantees that the impulse response is almost surely stable. Maximum entropy properties of the …
Generalized complex (GC) geometry interpolates between ordinary symplectic and complex geometry. Stable generalized complex manifolds (first introduced by Cavalcanti, Gualtieri in 2015) carry a Poisson structure which is generically symplectic, but degenerates on a (real) codimension-2 submanifold. Up to gauge equivale…
The paper develops a Galois theory for cluster algebras and Riemann surfaces.
Locally stable maps are classified up to homotopy through locally stable maps. The equivalence class of a map is determined by three invariants: the isotopy class of its framed singularity link, the generalized normal degree , and the algebraic number of cusps of any extensi…
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.
Weaved helices form mechanically stable 3D structures.
The paper proposes a method to stabilize predictions by identifying causal variables using a seed variable.
Proves one-relator groups with negative immersions are hyperbolic and virtually special.
We consider compact minimal surfaces 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…
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…
In our previous study, we introduced stable specification search for cross-sectional data (S3C). It is an exploratory causal method that combines stability selection concept and multi-objective optimization to search for stable and parsimonious causal structures across the entire range of model complexities. In this st…
We study the use of "sign -stable random projections" (where ) 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…
New method improves curvature estimates for stable surfaces.
New method stabilizes tensegrity structures suitable for engineering.
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…
Paper proposes HTAF for stable training of binary neural networks.
This paper improves generative models by using data scaling and theoretical analysis.
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…
Paper introduces stable vectorization for multiparameter PH using signed barcodes.
Study normal tempered stable processes for energy derivative pricing.
IMM generates high-quality samples in few steps with stable training.
Stable actions of hyperbolic groups on their boundaries.
In this paper are studied the nets of principal curvature lines on surfaces embedded in Euclidean 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…
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…
The paper provides a finite-sample deviation bound for stable autoregressive processes.
We show that the universal odd Chern form, defined on the stable unitary group , extends to the loop group 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…
We consider the optimization of active extension portfolios. For this purpose, the optimization problem is rewritten as a stochastic programming model and solved using a clever multi-start local search heuristic, which turns out to provide stable solutions. The heuristic solutions are compared to optimization results o…
A new method for feature selection robust to noise and design variability.
Communication networks shared by many users are a widespread challenge nowadays. In this paper we address several aspects of this challenge simultaneously: learning unknown stochastic network characteristics, sharing resources with other users while keeping coordination overhead to a minimum. The proposed solution comb…
In this paper, we prove that if , , is the -dimensional closed embedded stable solution to mean curvature flow with mean curvature of is uniformly bounded on for , then the flow can be smoothly extended over time .
Proposes a new portfolio optimization method considering reward, dispersion, and asymmetry.