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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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125249374498 · Jun 202019922001200920172026
48 results for Banach homogeneous spaces

Study Nijenhuis operators on Banach homogeneous spaces, extending previous work.

problem Characterize Nijenhuis torsion and integrability of almost complex structures on homogeneous spaces.
method Analyze bounded operators on Lie(G) to define homogeneous vector bundles and their Nijenhuis torsion.
result Equivalence of Nijenhuis torsion vanishing and Nijenhuis torsion values in Lie(K).

The notion of nonpositive curvature in Alexandrov's sense is extended to include p-uniformly convex Banach spaces. Infinite dimensional manifolds of semi-negative curvature with a p-uniformly convex tangent norm fall in this class on nonpositively curved spaces, and several well-known results, such as existence and uni…

2008-10-25abs ↗pdf ↗

We prove that the classical integrability condition for almost complex structures on finite-dimensional smooth manifolds also works in infinite dimensions in the case of almost complex structures that are real analytic on real analytic Banach manifolds. As an application, we extend some known results concerning existen…

2004-07-23abs ↗pdf ↗

A Banach symmetric space in the sense of O. Loos is a smooth Banach manifold MM endowed with a multiplication map μ ⁣:M×MMμ\colon M \times M \to M such that each left multiplication map μx:=μ(x,)μ_x := μ(x,\cdot) (with xMx \in M) is an involutive automorphism of (M,μ)(M,μ) with the isolated fixed point xx. We show that morphisms of …

2009-11-11abs ↗pdf ↗

The study integrates Banach manifolds into H-manifolds, integrating Lie algebras into H-groups.

problem Integrating Banach manifolds and Lie algebras into H-manifolds and H-groups.
method Investigating quotients of Banach manifolds with free actions of pseudogroups of local diffeomorphisms.
result Every real Banach-Lie algebra can be integrated to an H-group.

Representations of CC^*-algebras are realized on section spaces of holomorphic homogeneous vector bundles. The corresponding section spaces are investigated by means of a new notion of reproducing kernel, suitable for dealing with involutive diffeomorphisms defined on the base spaces of the bundles. Applications of th…

2007-07-05abs ↗pdf ↗

Probabilistic theory counts intersections in Riemannian spaces.

problem Counting intersections in Riemannian homogeneous spaces.
method Introduces probabilistic intersection ring HE(M)\mathrm{H}_{\mathbb E}(M), a graded commutative and associative real Banach algebra.
result Probabilistic intersection ring structure defined for spheres, real projective space, and complex projective space.

Researchers develop neural networks for approximating functions in Banach spaces.

problem Approximating Banach space valued continuous functions.
method Quasi-interpolation Banach space valued neural network operators using algebraic sigmoid functions.
result Jackson type inequalities for function approximation.

A pseudo-length function defined on an arbitrary group G=(G,,e,()1)G = (G,\cdot,e, (\,)^{-1}) is a map :G[0,+)\ell: G \to [0,+\infty) obeying (e)=0\ell(e)=0, the symmetry property (x1)=(x)\ell(x^{-1}) = \ell(x), and the triangle inequality (xy)(x)+(y)\ell(xy) \leqslant \ell(x) + \ell(y) for all x,yGx,y \in G. We consider pseudo-length functions which sa…

2018-01-11abs ↗pdf ↗

Extends Gaussian process theory to Banach spaces.

problem Extending Gaussian process theory to Banach spaces.
method Investigates the connection between Gaussian processes and Gaussian random elements in reproducing kernel Banach spaces.
result Characterizes positive definite functions that arise from covariance operators in Banach space setting.

A {1}-structure on a Banach manifold M (with model space E) is an E-valued 1-form on M that induces on each tangent space an isomorphism onto E. Given a Banach principal bundle P with connected base space and a {1}-structure on P, we show that its automorphism group can be turned into a Banach-Lie group acting smoothly…

2009-11-11abs ↗pdf ↗

Robust SVM optimization in Banach spaces tackles classification uncertainty.

problem Binary classification in Banach spaces with uncertainty.
method Generalization of SVM results to Banach spaces, Representer Theorem, strong duality, Nash equilibrium formulation.
result Generalization of SVM results to Banach spaces, including Representer Theorem and strong duality.

This article arose from a series of three lectures given at the Banach Center, Warsaw, during period of 24 March to 13 April, 2003. Morse functions are useful tool in revealing the geometric formation of its domain manifolds MM. They define the handle decompositions of MM from which the additive homologies $H_{\ast}(…

2004-08-02abs ↗pdf ↗

This paper extends mirror descent to Banach spaces with reproducing kernels.

problem Optimizing in Banach spaces with reproducing kernels.
method Mirror descent algorithm adapted for Banach spaces with reproducing kernels.
result Mirror descent achieves linear convergence in certain conditions and standard convergence in a constrained setting.

New analysis shows a gap between Gaussian RKHS and neural networks on unbounded domains.

problem Understanding the function space bias of neural networks compared to Gaussian RKHS.
method Infinite-center asymptotic analysis of neural network Banach space and Gaussian RKHS on unbounded domains.
result Certain functions in Gaussian RKHS have infinite norm in neural network Banach space on unbounded domains.

Bounded symmetric domains are biholomorphic to tube domains over Finsler symmetric cones.

problem Characterizing biholomorphic mappings between tube domains and bounded symmetric domains.
method Analyzing properties of Finsler symmetric cones and unital JB-algebras.
result Tube domains over Finsler symmetric cones are biholomorphic to bounded symmetric domains.

The aim of this article is to study effective Reifenberg theorems for measures in a Hilbert or Banach space. For Hilbert spaces, we see all the results from Rn\mathbb{R}^n continue to hold with no additional restrictions. For a general Banach spaces we will see that the classical Reifenberg theorem holds, and that a we…

2018-06-04abs ↗pdf ↗

The main goal of this paper is to extend the so-called Dirac-Frenkel Variational Principle in the framework of tensor Banach spaces. To this end we observe that a tensor product of normed spaces can be described as a union of disjoint connected components. Then we show that each of these connected components, composed …

2016-10-31abs ↗pdf ↗

Stochastic approximation extended to infinite dimensions, especially Banach spaces.

problem Applying stochastic approximation to infinite-dimensional spaces, particularly Banach spaces.
method Extending stochastic approximation to Banach spaces, including cases like C([0,1],Rd)C([0,1],\mathbb{R}^d) and L1([0,1],Rd)L^1([0,1],\mathbb{R}^d).
result Stochastic approximation can be applied to Banach spaces, including those without the Radon-Nikodym property.

New neural architectures with multivariate nonlinearities are optimal in function space.

problem Optimality of neural architectures with multivariate nonlinearities.
method Construction of Banach spaces via kk-plane transform and sparsity-promoting norm, proving representer theorem.
result Neural architectures with multivariate nonlinearities are optimal in function space.

We derive a necessary and sufficient condition for the existence of symmetric space structures on quotients of Banach symmetric spaces. Along the way, we investigate the different kinds of reflection subspaces and their Lie triple systems.

2010-10-21abs ↗pdf ↗

We characterize the class of separable Banach spaces XX such that for every continuous function f:XRf:X\to\mathbb{R} and for every continuous function ε:X(0,+)ε:X\to\mathbb(0,+\infty) there exists a C1C^1 smooth function g:XRg:X\to\mathbb{R} for which f(x)g(x)ε(x)|f(x)-g(x)|\leqε(x) and g(x)0g'(x)\neq 0 for all xXx\in X (that is, gg has no…

2005-10-27abs ↗pdf ↗

Targeting at sparse learning, we construct Banach spaces B of functions on an input space X with the properties that (1) B possesses an l1 norm in the sense that it is isometrically isomorphic to the Banach space of integrable functions on X with respect to the counting measure; (2) point evaluations are continuous lin…

2011-01-23abs ↗pdf ↗

Random feature models approximate functions in Banach spaces efficiently.

problem Approximating functions in Banach spaces efficiently.
method Randomly initialized feature maps and linear readout training.
result Universal approximation in Bochner spaces for Banach space-valued models.

Paper characterizes embeddability of function spaces into LpL_p-type RKBS via metric entropy.

problem Characterizing embeddability of function spaces into LpL_p-type RKBS.
method Establishes a connection between metric entropy growth and embeddability.
result A bound on metric entropy growth allows embedding into LpL_p-type RKBS.