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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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109218327436 · Jun 202019922001200920172026
48 results for smooth multiplication

We study diffeologies on locally convex spaces and their application to smooth multiplication of distributions.

problem Constructing smooth multiplication of distributions on locally convex spaces.
method Using diffeological colimits and wavefront-set criterion.
result Proving smooth multiplication of microlocally multipliable distributions.

We construct an analytic multiplicative model of smooth K-theory. We further introduce the notion of a smooth K-orientation of a proper submersion and define the associated push-forward which satisfies functoriality, compatibility with pull-back diagrams, and projection and bordism formulas. We construct a multiplicati…

2007-06-30abs ↗pdf ↗

Smooth actions of the multiplicative monoid (R,)(\mathbb{R},\cdot) of real numbers on manifolds lead to an alternative, and for some reasons simpler, definition of a vector bundle, a double vector bundle and related structures like a graded bundle [Grabowski and Rotkiewicz, J. Geom. Phys. 2011]. For these reasons it is n…

2016-02-05abs ↗pdf ↗

Study on diffeologies on locally convex spaces and smooth multiplication of distributions.

problem Geometric characterization and smoothness of distribution multiplication.
method Investigation of canonical and cc^\infty-diffeologies on locally convex spaces, proving geometric characterizations, and comparing diffeologies.
result Established a framework for nonlinear distribution theory beyond manifolds, realizing microlocally multipliable distributions as a diffeological colimit.

Study improves boundary smoothness for area-minimizing currents with complex boundaries.

problem Boundary regularity for area-minimizing currents with arbitrary multiplicity.
method Generalization of Allard's boundary regularity theorem.
result Derivation of structural consequences from the generalized theorem.

Multiple generalized additive models (GAMs) are a type of distributional regression wherein parameters of probability distributions depend on predictors through smooth functions, with selection of the degree of smoothness via L2L_2 regularization. Multiple GAMs allow finer statistical inference by incorporating explana…

2018-09-25abs ↗pdf ↗

The main aim of this paper is the construction of a smooth (sometimes called differential) extension \hat{MU} of the cohomology theory complex cobordism MU, using cycles for \hat{MU}(M) which are essentially proper maps W\to M with a fixed U(n)-structure and U(n)-connection on the (stable) normal bundle of W\to M. Cruc…

2007-11-07abs ↗pdf ↗

New examples of mean curvature flow converge to minimal surfaces with multiplicity 2.

problem Constructing mean curvature flow examples in closed manifolds.
method Constructing new examples of mean curvature flow with convergence to minimal surfaces with multiplicity 2.
result Mean curvature flow examples converge to minimal surfaces with multiplicity 2.

We study the number of distinct ways in which a smooth projective surface XX can be realized as a smooth toroidal compactification of a ball quotient. It follows from work of Hirzebruch that there are infinitely many distinct ball quotients with birational smooth toroidal compactifications. We take this to its natural…

2015-03-23abs ↗pdf ↗

We study how the notion of tangent space can be extended from smooth manifolds to diffeological spaces, which are generalizations of smooth manifolds that include singular spaces and infinite-dimensional spaces. We focus on two definitions. The internal tangent space of a diffeological space is defined using smooth cur…

2014-11-20abs ↗pdf ↗

The paper explores the identifiability and interpretability of Gaussian process models using different kernel structures.

problem Identifiability and interpretability issues in Gaussian process models.
method The paper examines both single-output and multi-output Gaussian process models using additive and multiplicative mixtures of Matérn kernels.
result The smoothness of a mixture of Matérn kernels is determined by the least smooth component, and none of the mixing weights or parameters are identifiable.

Multiplicative bundle gerbes are gerbes over a Lie group which are compatible with the group structure. In this article connections on such bundle gerbes are introduced and studied. It is shown that multiplicative bundle gerbes with connection furnish geometrical constructions of the following objects: smooth central e…

2008-04-30abs ↗pdf ↗

In the framework of Lorentzian warped products, we study the Friedmann-Robertson-Walker cosmological model to investigate non-smooth curvatures associated with multiple discontinuities involved in the evolution of the universe. In particular we analyze non-smooth features of the spatially flat Friedmann-Robertson-Walke…

2003-08-16abs ↗pdf ↗

The paper provides an algorithm to create curves touching a smooth cubic at specific intersection points.

problem Creating curves that touch a smooth cubic at specific intersection points.
method Algorithm based on divisions and Zariski tuples to produce nn-contact curves.
result An algorithm to generate nn-contact curves to a smooth cubic.

We study the problem of existence of Kähler--Einstein metrics on smooth Fano threefolds of Picard rank one and anticanonical degree 2222 that admit a faithful action of the multiplicative group C\mathbb{C}^\ast. We prove that, except possibly two explicitly described cases, all such smooth Fano threefolds are Kähler--…

2018-03-07abs ↗pdf ↗

We prove two explicit bounds for the multiplicities of Steklov eigenvalues σkσ_k on compact surfaces with boundary. One of the bounds depends only on the genus of a surface and the index kk of an eigenvalue, while the other depends as well on the number of boundary components. We also show that on any given smooth Rie…

2012-09-21abs ↗pdf ↗

Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different formulations of objectives and varying regularization strategies. In this paper we present a unifying general optimization criterion for multip…

2010-05-04abs ↗pdf ↗

Estimates time-varying network connections using multi-stage smoothing.

problem Estimating edge probabilities of time-varying networks.
method Multi-stage smoothing: temporal local smoothing followed by node-domain smoothing.
result Captures both smooth temporal evolution and structural patterns in connectivity.

We show that if a smooth multiplicative subbundle STGS\subseteq TG on a groupoid $G\rr P$ is involutive and satisfies completeness conditions, then its leaf space G/SG/S inherits a groupoid structure over the space of leaves of TPSTP\cap S in PP. As an application, a special class of Dirac groupoids is shown to project b…

2010-10-15abs ↗pdf ↗

Estimates multiple linear systems on a graph with smoothness constraints.

problem Joint estimation of multiple linear systems under graph smoothness constraints.
method Proposes estimators for joint estimation of system matrices with error bounds.
result MSE converges to zero as mm increases, typically polynomially fast w.r.t mm.

ConquerNet smooths quantile regression for deep learning with minimax guarantees.

problem Optimization challenges in quantile regression for deep models.
method ConquerNet uses convolution-smoothed quantile ReLU neural networks.
result ConquerNet provides minimax guarantees and outperforms standard quantile neural networks.

Constructs initial data for multiple black holes with specified ADM parameters.

problem Forming multiple black holes with specific ADM parameters.
method Smooth, asymptotically flat vacuum initial data with prescribed ADM energy, momentum, and angular momentum.
result Maximal development of data results in spacetimes containing multiple black holes.

Single-timescale analysis improves convergence in multi-sequence stochastic approximation.

problem Finite-time convergence of nonlinear stochastic approximation with multiple coupled sequences.
method Smoothness property of fixed points and analysis of fine-grained single-timescale SA.
result Improved iteration complexity for achieving ε-accuracy in multi-sequence single-timescale SA.

In this paper, we prove that the Morse index of a multiplicity one, smooth, min-max minimal hypersurface is generically equal to the dimension of the homology class detected by the families used in the construction. This confirms part of the program (\cite{marques-icm}, \cite{marques-neves-cycles}, \cite{marques-neves-…

2018-03-12abs ↗pdf ↗