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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.

168,657 papers · 148 categories

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120240359479 · Jun 202019922001200920172026
48 results for reflexive Banach spaces

We consider a general regularised interpolation problem for learning a parameter vector from data. The well known representer theorem says that under certain conditions on the regulariser there exists a solution in the linear span of the data points. This is at the core of kernel methods in machine learning as it makes…

2018-09-26abs ↗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.

Suppose M be the projective limit of weak symplectic Banach manifolds \{(M_i,φ_{ij})\}_{i,j\in\mathbb N}, where M_i are modeled over reflexive Banach space and σis compatible with the inverse system(defined in the article). We associate to each point x\in M, a Fréchet space H_x(defined in section 3). We prove that if H…

2013-09-06abs ↗pdf ↗

The article presents a description of geometry of Banach structures forming mathematical base of markets arbitrage absence type phenomena. In this connection the role of reflexive subspaces (replacing classically considered finite-dimensional subspaces) and plasterable cones is uncovered.

2014-10-17abs ↗pdf ↗

Develops vector-valued RKBS for neural networks and operators.

problem Understanding function spaces of Rd\mathbb{R}^d-valued neural networks and neural operators.
method Defines and constructs vector-valued RKBS (vv-RKBS) without restrictive assumptions.
result Establishes Representer Theorem for neural architectures.

New algorithm solves saddle point problems in Banach spaces.

problem Solving saddle point problems in real reflexive Banach spaces.
method Stochastic Bregman Primal-Dual Splitting Algorithm with relative smoothness and strong convexity assumptions.
result Almost sure convergence to saddle points under various conditions.

Our main result concerns the following condition: {\bf Condition C.} Let XX be a Banach space. A C1C^1 function f:XRf:X\rightarrow \mathbb{R} satisfies Condition C if whenever {xn}\{x_n\} weakly converges to xx and limnf(xn)=0\lim _{n\rightarrow\infty}||\nabla f(x_n)||=0, then f(x)=0\nabla f(x)=0. We assume that there is given a cano…

2020-01-16abs ↗pdf ↗

For (X,L) a polarized toric variety and G a torus of automorphisms of (X,L), denote by Y the GIT quotient X/G. We define a family of fully faithful functors from the category of torus equivariant reflexive sheaves on Y to the category of torus equivariant reflexive sheaves on X. We show, under a genericity assumption o…

2020-01-06abs ↗pdf ↗

Establishes Hermite-Einstein metrics on complex spaces with singularities.

problem Existence of Hermite-Einstein metrics on complex spaces with singularities.
method Established existence of estimable Hermite-Einstein metrics for stable reflexive coherent sheaves on compact normal Kähler spaces with klt singularities.
result Obtained precise results for varieties with klt singularities.

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.

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 paper studies foliations on smooth projective varieties and their properties.

problem Characterizing and understanding foliations on smooth projective varieties.
method Develops a structure theorem for smooth projective varieties with almost nef regular foliations, using a smooth morphism and MRC fibration.
result An almost nef regular foliation on a smooth projective variety can be decomposed into a numerically flat regular foliation and a smooth morphism.

In this paper, we study the asymptotic behavior of the Hermitian-Yang-Mills flow on a reflexive sheaf. We prove that the limiting reflexive sheaf is isomorphic to the double dual of the graded sheaf associated to the Harder-Narasimhan-Seshadri filtration, this answers a question by Bando and Siu.

2017-04-24abs ↗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 ↗

Bayesian reflex models AI learning like the autonomic nervous system.

problem Online learning in dynamic AI environments.
method Bayesian online algorithms with belief maintenance, sequential updating, and uncertainty-driven action balancing.
result Unified framework for adaptive AI learning.

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 ↗

A simple quantitative example of a reflexive feedback process and the resulting price dynamics after an exogenous price shock to a financial network is presented. Furthermore, an outline of a theory that connects financial reflexivity, which stems from cross-ownership and delayed or incomplete information, and no-arbit…

2013-01-27abs ↗pdf ↗

We study the notion of algebraic tangent cones at singularities of reflexive sheaves. These correspond to extensions of reflexive sheaves across a negative divisor. We show the existence of optimal extensions in a constructive manner, and we prove the uniqueness in a suitable sense. The results here are an algebro-geom…

2018-08-07abs ↗pdf ↗

Study shows awareness of reflexivity improves LLMs' financial forecasting accuracy.

problem Improving LLMs' ability to forecast financial markets during boom-bust cycles.
method Evaluated three LLMs under four conditions of reflexivity awareness in two market episodes.
result Reflexivity awareness improves forecasting accuracy differently across models and contexts.

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.

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.

The mathematical model proposed by George Soros for his theory of reflexivity is analyzed under the framework of discrete dynamical systems. We show the importance of the notion of fixed points for explaining the behavior of a reflexive system governed by its cognitive and manipulative functions. The interrelationship …

2009-01-28abs ↗pdf ↗

Criterion for projectivisation on klt spaces, characterizing quotients and stability.

problem Characterizing finite quotients of projective spaces and Abelian varieties.
method Criterion based on reflexive sheaves and stability conditions.
result Characterization of finite quotients using Q\mathbb{Q}-Chern class inequalities and stability condition.

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 ↗