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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.

169,051 papers · 148 categories

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35810 · Oct 202419922001200920182026
48 results for Banach sub-space

BOFiP optimizes high-dimensional functions by distributing them into sub-spaces and using game theory.

problem Optimizing high-dimensional black box functions with computational complexity.
method BOFiP decomposes high-dimensional space into sub-spaces, searches within sub-spaces, and updates beliefs using game theory.
result BOFiP outperforms competitors in high-dimensional optimization problems.

Regulated curves on Banach manifolds with continuous projections and regulated derivatives are studied.

problem Regulated curves on Banach manifolds with continuous projections and regulated derivatives.
method Building a Banach manifold structure on the set of such curves.
result Existence of a 'local addition' on such a manifold for any Banach manifold.

Integrability criterion for projective limits of Banach distributions on Fréchet manifolds.

problem Integrability of projective limits of involutive bundles on Banach manifolds.
method An integrability criterion for a projective limit of Banach distributions.
result Result of integrability of projective limit of involutive bundles on a projective sequence of Banach manifolds.

The paper defines projective structures for Lie bialgebras and Poisson-Lie groups.

problem Defining projective analogues of Lie bialgebras and Poisson-Lie groups.
method Introducing projective tensor products and adapting classical notions to these structures.
result Every quasi-triangular projective r-matrix gives rise to a projective Banach Lie bialgebra.

First, we extend the notion of second order differential equations (SODE) on a smooth manifold to anchored Banach vector bundles. Then we define the Banach Lie algebroids as Lie algebroids structures modeled on anchored Banach vector bundles and prove that they form a category.

2010-03-05abs ↗pdf ↗

The paper studies symplectic forms on projective limits of Banach bundles and their Darboux Theorem.

problem Conditions for weak symplectic forms on projective limits of Banach bundles.
method Analyzing projective sequences of Banach bundles and applying Darboux Theorem.
result Necessary and sufficient conditions for the Darboux Theorem on projective limits of Banach manifolds.

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.

This paper is devoted to the framework of direct limit of anchored Banach bundles over a convenient manifold which is a direct limit of Banach manifold. In particular we give a criterion of integrability for distributions on such convenient manifolds which are locally direct limits of particular sequences of Banach anc…

2014-08-16abs ↗pdf ↗

We study a few basic properties of Banach-Lie groupoids and algebroids, adapting some classical results on finite dimensional Lie groupoids. As an illustration of the general theory, we show that the notion of locally transitive Banach-Lie groupoid sheds fresh light on earlier research on some infinite-dimensional mani…

2018-02-26abs ↗pdf ↗

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 ↗

This paper concerns the problem of integrability of non closed distributions on Banach manifolds. We introduce the notion of weak distribution and we look for conditions under which these distributions admit weak integral submanifolds. We give some applications to Banach Lie algebroid and Banach Lie-Poisson manifold. T…

2010-12-09abs ↗pdf ↗

Study projective and direct limits of Banach structures with connections to GG-structures.

problem Understanding connections between Banach structures and GG-structures.
method Endow projective and direct limits with Fréchet or convenient structures and study connections.
result Illustrated examples demonstrate the study of projective and direct limits.

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 ↗

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.

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.

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.

Improved SSD for faster and more accurate goodness-of-fit tests and model learning.

problem Optimal slicing directions for SSD are computationally expensive and sub-optimal.
method Relaxed optimal slicing requirement, active sub-space construction, spectral decomposition.
result 14-80x speed-up in goodness-of-fit tests compared to gradient-based alternatives.

We introduce a notion of p-rough integrator on any Banach manifolds, for any p1p\geq 1, which plays the role of weak geometric Holder p-rough paths in the usual Banach space setting. The awaited results on rough differential equations driven by such objects are proved, and a canonical representation is given if the man…

2014-03-13abs ↗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 ↗

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.

Study spectral and index properties of Hodge-Dirac operator on compact manifolds.

problem Investigate spectral and index-theoretic properties of Hodge-Dirac operator on compact Riemannian manifolds.
method Establish bisectoriality and H\mathrm{H}^\infty functional calculus without curvature assumptions.
result Prove compact Banach spectral triple and recover classical topological invariants as Lp\mathrm{L}^p-indices.

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 ↗

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.

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.

Explicit BCH series radii found for special Banach-Malcev shift algebras.

problem Finding convergence radii for BCH series in specific algebraic structures.
method Established explicit convergence radii using continuity estimates and algebraic properties.
result Explicit formula for convergence radii derived and validated for various shift algebras.

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 ↗

Smooth approximations without critical points for continuous mappings between Banach spaces.

problem Approximating continuous mappings between Banach spaces with smooth mappings.
method Constructing a CC^{\infty} mapping that approximates a continuous mapping and has surjective linear derivative.
result Every continuous mapping between certain Banach spaces can be uniformly approximated by smooth open mappings.

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.