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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.

169,291 papers · 148 categories

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2468 · Oct 201919922001200920182026
48 results for Hilbert-Schmidt Grassmannian

Let U2(H)U_2({\cal H}) be the Banach-Lie group of unitary operators in the Hilbert space H{\cal H} which are Hilbert-Schmidt perturbations of the identity 1. In this paper we study the geometry of the unitary orbit {upu:uU2(H)},\{upu^*: u\in U_2({\cal H})\}, of an infinite projection pp in H{\cal H}. This orbit coincides with t…

2008-08-19abs ↗pdf ↗

Solves steering problem with continuous time, Hilbert-Schmidt cost, and matrix ODEs.

problem Fixed horizon linear quadratic covariance steering in continuous time with a specific terminal cost.
method Formulates necessary conditions as a coupled matrix ODE two-point boundary value problem, designs a matricial recursive algorithm, and proves convergence.
result Proposes and proves the convergence of a matricial recursive algorithm for solving the steering problem.

Study optimizes KSD estimation from samples, revealing Hilbert-Schmidt vs trace scales.

problem Optimizing estimation of Kernel Stein Discrepancy from samples.
method Identifying and comparing minimax scales for U-statistic and V-statistic.
result Hilbert-Schmidt norm of Stein covariance operator gives optimal scale.

Optimal transport for functional data using Hilbert-Schmidt operators.

problem Optimal transport for distributions on function spaces with partially represented stochastic maps.
method Regularization technique to restrict transport maps to Hilbert-Schmidt operators, developing an efficient algorithm.
result Existence, uniqueness, and consistency of the Hilbert-Schmidt operator estimate for the transport map.

Curious structure of special orthogonal, unitary, and symplectic groups as products of Grassmannians discovered.

problem Understanding the structure of special orthogonal, unitary, and symplectic groups.
method Expressing these groups as products of Grassmannians realized as involution matrices.
result Special orthogonal, special unitary, and symplectic groups can be expressed as products of their corresponding Grassmannians.

Constructs explicit pp-harmonic functions on Grassmannians and flag manifolds.

problem Finding proper pp-harmonic functions on Grassmannians and flag manifolds.
method Using the method of eigenfamilies to construct explicit functions.
result Explicit complex-valued proper pp-harmonic functions on compact real Grassmannians and non-descending functions on real flag manifolds.

Using the Plucker map between grassmannians, we study basic aspects of classic grassmannian geometries. For `hyperbolic' grassmannian geometries, we prove some facts (for instance, that the Plucker map is a minimal isometric embedding) that were previously known in the `elliptic' case.

2009-07-26abs ↗pdf ↗

Study on estimating distances between covariance operators and Gaussian processes.

problem Estimating distances between covariance operators and Gaussian processes.
method Riemannian distances, concentration results for Hilbert space-valued random variables, RKHS covariance and cross-covariance operators.
result Both distances converge in the Hilbert-Schmidt norm and can be consistently and efficiently estimated.

Researchers measure distances between quantum states to speed up machine learning.

problem Calculating distances between quantum states for machine learning is complex.
method Three-step method using many-particle interference to measure Hilbert-Schmidt distance.
result The method reduces complexity in calculating Euclidean distances between quantum states.

The paper finds optimal inequalities for hypersurface curvatures in complex Grassmannians.

problem Optimizing inequalities for hypersurface curvatures in complex Grassmannians.
method Analyzing real hypersurfaces in complex Grassmannians to derive inequalities involving scalar curvature and Casorati curvatures.
result Conditions for equality in inequalities involving normalized scalar curvature and Casorati curvatures.

The paper studies geometric properties of Grassman manifolds within Euclidean spaces.

problem Understanding the geometric structure of Grassman manifolds.
method Analyzing Grassman manifold G(E)G(E) as a subset of Euclidean space EE and orthogonal projections.
result Explicit formulas for differential geometry of G(E)G(E) as a submanifold.

No real hypersurfaces found in complex Grassmannians with specific Jacobi operators.

problem Existence of real hypersurfaces in complex Grassmannians with semi-parallel structure Jacobi operator.
method Proved nonexistence through mathematical analysis.
result No real hypersurfaces exist in complex Grassmannians of rank two with semi-parallel structure Jacobi operator.

Grassmannian packings improve CNN kernels' diversity and reduce sparsity.

problem Kernel sparsity and lack of diversity in CNNs decrease model capacity.
method Initialize CNN kernels with Grassmannian packings to maximize diversity and minimize sparsity.
result Grassmannian packings lead to diverse features and improved classification accuracy.

The affine Grassmannian generalizes Euclidean and linear subspaces with rich geometric properties.

problem Formulating machine learning and statistical problems on the affine Grassmannian.
method Showed the affine Grassmannian has multiple structures and affords an analogue of Schubert calculus.
result The affine Grassmannian serves as a concrete computational platform for various machine learning and statistical problems.

Correspondence found between exponential families and affine Grassmannians.

problem Understanding the relationship between exponential families and geometric structures.
method Established a one-to-one correspondence between exponential families and affine Grassmannians.
result Found a correspondence between minimal exponential families and affine Grassmannians.

The paper classifies real hypersurfaces with a specific Jacobi operator in complex Grassmannians.

problem Classifying real hypersurfaces with a particular Jacobi operator.
method Introducing and classifying real hypersurfaces with a quadratic Killing structure Jacobi operator.
result A classification theorem for Hopf real hypersurfaces with quadratic Killing structure Jacobi operator.

Totally nonnegative Grassmannian and related spaces are shown to be like closed balls.

problem Understanding the topological structure of certain spaces in combinatorics.
method Proving homeomorphic to closed balls using advanced combinatorial and geometric techniques.
result Three significant spaces in combinatorics are proven to be topologically equivalent to closed balls.

The affine Grassmannian is a noncompact smooth manifold that parameterizes all affine subspaces of a fixed dimension. It is a natural generalization of Euclidean space, points being zero-dimensional affine subspaces. We will realize the affine Grassmannian as a matrix manifold and extend Riemannian optimization algorit…

2016-07-06abs ↗pdf ↗

Smooth structures on infinite dimensional Grassmannians and non-commutative cross-ratios.

problem Smooth structures on infinite dimensional Grassmannians and non-commutative cross-ratios.
method Analyzing and expanding the notion of non-commutative cross-ratios, proving their smoothness.
result Smoothness of non-commutative cross-ratios.

The classical concept of affine locally symmetric spaces allows a generalization for various geometric structures on a smooth manifold. We remind the notion of symmetry for parabolic geometries and we summarize the known facts for 1|1|--graded parabolic geometries and for almost Grassmannian structures, in particular.…

2009-01-07abs ↗pdf ↗

This paper proves area-minimizing cones over Grassmannian manifolds.

problem Determine if cones over Grassmannian manifolds are area-minimizing.
method Detailed descriptions of embedding maps using Hermitian orthogonal projectors, re-proving area-minimization using Lawlor's Curvature Criterion.
result All cones over Grassmannian manifolds are area-minimizing except for oriented real Grassmannians.

Develops a correspondence between symplectic orbits and Grassmannians.

problem Understanding the homotopy types of Grassmannians of linear subspaces in symplectic vector spaces.
method Uses orbit fibrations and linear symplectic reduction to compute homotopy types.
result Recover observations from Arnold, Oh-Park, and Lee-Leung in different cases.

Study of geodesics on SL(n) with Hilbert-Schmidt metric, revealing complex dynamics in higher dimensions.

problem Geodesics on SL(n) with Hilbert-Schmidt metric.
method Analysis of geodesics, use of Virial-identity-based criterion, study of explicit families of solutions, classification of geodesics.
result Complex dynamics in higher dimensions, existence of bounded geodesic motions in even dimensions, instability of swirling and shear flows in even dimensions.

This work improves fair tensor decomposition using a kernel criterion.

problem Learning fair low-rank tensor decompositions with statistical parity.
method Regularizes Canonical Polyadic Decomposition with KHSIC to ensure approximate statistical parity.
result The proposed algorithm achieves better fairness and fit than state-of-the-art FATR.

Reformulated sigma models for complex Grassmannians using Gross-Neveu formalism.

problem Classical aspects of N=(2,2)\mathcal{N}=(2,2) supersymmetric sigma models with Hermitian symmetric target spaces.
method Reformulation using Gross-Neveu formalism, proposing two types of equivalent Lagrangians.
result Proposed two types of equivalent Lagrangians for maximal isotropic Grassmannians, making either supersymmetry or geometry manifest.