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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.

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48 results for Grassmann Manifold

This paper shows that the Grassmann Manifolds GF(n,N)G_{\bf F}(n,N) can all be imbedded in an Euclidean space MF(N)M_{\bf F}(N) naturally and the imbedding can be realized by the eigenfunctions of Laplacian \triangle on GF(n,N)G_{\bf F}(n,N). They are all minimal submanifolds in some spheres of MF(N)M_{\bf F}(N) respectively. Using …

2006-08-03abs ↗pdf ↗

The main results on the theory of conformal and almost Grassmann structures are presented. The common properties of these structures and also the differences between them are outlined. In particular, the structure groups of these structures and their differential prolongations are found. A complete system of geometric …

1998-05-22abs ↗pdf ↗

Paper introduces a method to generate stable shapes using Grassmann manifolds.

problem Generating stable shapes with minimal extraneous transformations.
method Continuous normalization flows on Grassmann manifolds to eliminate extraneous transformations.
result The method significantly outperforms state-of-the-art methods in generating high-quality samples.

New method for identifying autoregressive systems on manifolds.

problem Identifying autoregressive systems on Stiefel and Grassmann manifolds.
method Defining parameters as orthogonal group elements, averaging over observations, conjugate gradient descent on manifolds.
result System parameters can be estimated efficiently using the proposed algorithm.

A new method for averaging data on manifolds is proposed, offering simplicity and efficiency.

problem The difficulty of computing Fréchet means on manifolds, especially Stiefel and Grassmann.
method Proposed RL-barycenters, simpler arithmetic means projected onto the manifold.
result RL-barycenters yield simple yet effective means on Stiefel and Grassmann manifolds.

New geometric structures defined on Grassmann manifolds.

problem Understanding geometric properties of Grassmann manifolds.
method Introducing canonical blow-ups and submanifolds by partitioning Plücker coordinates.
result Various geometric aspects of introduced structures are studied, including smoothness, holomorphic symmetries, and existence of Kähler-Einstein metrics.

Stochastic variance reduction algorithms have recently become popular for minimizing the average of a large, but finite, number of loss functions. In this paper, we propose a novel Riemannian extension of the Euclidean stochastic variance reduced gradient algorithm (R-SVRG) to a compact manifold search space. To this e…

2016-05-24abs ↗pdf ↗

The differential geometry of almost Grassmann structures defined on a differentiable manifold of dimension n = pq by a fibration of Segre cones SC (p, q) is studied. The peculiarities in the structure of almost Grassmann structures for the cases p=q=2; p = 2, q > 2 (or p > 2, q = 2), and p > 2, q > 2 are clarified. The…

1998-05-23abs ↗pdf ↗

On the Grassmann manifold G (m, n) of m-dimensional subspaces of an n-dimensional projective space P^n, a certain supplementary construction called the normalization is considered. By means of this normalization, one can construct the structure of a Riemannian or semi-Riemannian manifold or an affine connection on G(m,…

1998-06-16abs ↗pdf ↗

The Lagrangian formalism on a arbitrary non-fibrating manifold is considered. The kinematical description of this generic situation is based on the concept of (higher-order) Grassmann manifolds which is the factorization of the regular velocity manifold to the action of the differential group. Here we introduce in this…

1997-09-01abs ↗pdf ↗

Let L2L^2 be the Lebesgue space of square-integrable functions on the unit circle. We show that the injectivity problem for Toeplitz operators is linked to the existence of geodesics in the Grassmann manifold of L2L^2. We also investigate this connection in the context of restricted Grassmann manifolds associated to $p…

2016-08-19abs ↗pdf ↗

Study on conjugate points in a CC^*-algebra's Grassmann manifold.

problem Characterizing conjugate points in a CC^*-algebra's Grassmann manifold.
method Analyzes connections and geodesics in the Riemannian metric induced by the Killing form.
result Points that are tangent conjugate in the classical setting may not be conjugate in a CC^*-algebra's Grassmann manifold.

It is shown that the integrability conditions of the equations satisfied by the local Frenet frame associated with a holomorphic curve in a complex Grassmann manifold coincide with a special class of nonabelian Toda equations. A local moving frame of a holomorphic immersion of a Riemann surface into a complex Grassmann…

1999-01-06abs ↗pdf ↗

Let M be a manifold with Grassmann structure, i.e. with an isomorphism of the cotangent bundle T^*M\cong E\otimes H with the tensor product of two vector bundles E and H. We define the notion of a half-flat connection \nabla^W in a vector bundle W\to M as a connection whose curvature F\in S^2E\otimes\wedge^2 H\otimes W…

2002-09-11abs ↗pdf ↗

Let VV be a separable Hilbert space, possibly infinite dimensional. Let $\St(p,V)$ be the Stiefel manifold of orthonormal frames of pp vectors in VV, and let $\Gr(p,V)$ be the Grassmann manifold of pp dimensional subspaces of VV. We study the distance and the geodesics in these manifolds, by reducing the matter to…

2012-09-13abs ↗pdf ↗

Paper builds neural networks on matrix manifolds using gyrovector spaces.

problem Lack of concepts in gyrovector spaces for matrix manifolds.
method Generalized gyrovector space concepts for SPD and Grassmann manifolds, proposing new neural network models.
result Demonstrated effectiveness in human action recognition and knowledge graph completion.

Designs neural networks on matrix manifolds for improved performance in tasks like human action recognition.

problem Designing neural networks for tasks on non-Euclidean manifolds.
method Develops fully-connected and convolutional layers for SPD manifolds, and MLR on SPSD manifolds.
result Demonstrates improved performance in human action recognition and node classification tasks.

Study geodesics on Grassmann manifold for functions vanishing on subsets of a set X.

problem Finding minimal geodesics on Grassmann manifold of reproducing kernel Hilbert spaces.
method Analyzing necessary and sufficient conditions for geodesic existence and uniqueness, and studying examples.
result Established conditions for geodesic existence and uniqueness, and found estimates on eigenvalues.

We establish geometric properties of Stiefel and Grassmann manifolds which arise in relation to Slater type variational spaces in many-particle Hartree-Fock theory and beyond. In particular, we prove that they are analytic homogeneous spaces and submanifolds of the space of bounded operators on the single-particle Hilb…

2011-05-09abs ↗pdf ↗

New method recovers matrices with nonlinear structures using optimization on Grassmann manifold.

problem Recovering high-rank matrices with nonlinear structures like subspaces or clusters.
method Formulated as rank minimization of a nonlinear feature map, approximated by constrained non-convex optimization on the Grassmann manifold, using Riemannian and alternating minimization schemes.
result Global convergence and worst-case complexity bounds for alternating minimization scheme, leading to unique limit point.

Study Brownian motion on Grassmann manifold using matrix stochastic calculus.

problem Understanding Brownian motion on non-compact Grassmann manifold.
method Realize Brownian motion as matrix diffusion process, use matrix stochastic calculus, and hyperbolic Stiefel fibration.
result Connection to generalized Maass Laplacian of complex hyperbolic space.

New algorithm for multiway spectral clustering on Grassmann manifolds.

problem Efficiently computing multiple eigenvectors of a nonlinear graph Laplacian.
method Direct multiway spectral clustering in pp-norm, reformulated as minimization on Grassmann manifold.
result Monotonic decrease of balanced graph cuts leads to optimal solutions.

The decomposition of the spinor bundle of the spin Grassmann manifolds Gm,n=SO(m+n)/SO(m)×SO(n)G_{m,n}=SO(m+n)/SO(m)\times SO(n) into irreducible representations of so(m)so(n)\mathfrak{so}(m)\oplus\mathfrak{so}(n) is presented. A universal construction is developed and the general statement is proven for G2k+1,3G_{2k+1,3}, G2k,4G_{2k,4}, and G2k+1,5G_{2k+1,5} f…

2007-10-17abs ↗pdf ↗

This work ensures stability in POD basis interpolation for pMOR in hyperelasticity.

problem Stability of POD basis interpolation on Grassmann manifolds for pMOR in hyperelasticity.
method Stability conditions derived from Grassmannian Exponential map and principal angles.
result Explicit stability conditions for practical pMOR applications and non-monotonic error behavior.

Adapts POD basis for parametric ROMs using pGP.

problem Updating POD basis for accurate system behavior over parameter space.
method Formulates problem as supervised statistical learning, uses pGP to learn mapping between parameter space and Grassmann manifold.
result Proposes pGP for optimal estimation of POD basis parameters and quantifies uncertainty.

Polynomial chaos expansions on Grassmannian submanifolds for high-dimensional stochastic systems.

problem Uncertainty quantification in high-dimensional stochastic systems.
method Principal Geodesic Analysis on the Grassmann manifold, adaptive algorithm for local submanifolds, polynomial chaos expansion.
result Efficient surrogate modeling of system behavior across different parameter spaces.

We define a new type of manifold and show it has properties like a pseudo-Riemannian manifold.

problem Defining a new type of manifold.
method Defining a Grassmann odd analogue of a Carrollian manifold and analyzing its properties.
result The reduced manifold is a pseudo-Riemannian manifold and compatible affine connections always exist with torsion.

Study on random surfaces in hyperbolic 3-manifolds, focusing on geometric and topological properties.

problem Distribution of nearly geodesic surfaces in hyperbolic 3-manifolds.
method Invariant measures on the Grassmann bundle G(M) derived from limits of random minimal surfaces.
result Topological limiting measures are totally scarring if M contains a totally geodesic subsurface, while geometrical limiting measures are not.

In the present paper we study locally semiflat (we also call them semiintegrable) almost Grassmann structures. We establish necessary and sufficient conditions for an almost Grassmann structure to be alpha- or beta-semiintegrable. These conditions are expressed in terms of the fundamental tensors of almost Grassmann st…

1998-05-22abs ↗pdf ↗

We describe how the loop group maps corresponding to special submanifolds associated to integrable systems may be thought of as certain Grassmann submanifolds of infinite dimensional homogeneous spaces. In general, the associated families of special submanifolds are certain Grassmann submanifolds. An example is given f…

2008-04-11abs ↗pdf ↗

Study of symplectic Stiefel and Grassmann manifolds with geodesics and applications.

problem Understanding symplectic bases and subspaces for data processing.
method Lie group approach to derive geodesics and retractions for pseudo-Riemannian and Riemannian metrics.
result Efficient formulas for geodesics and retractions on symplectic manifolds.

This paper proposes a new method to adapt ROMs for new parameter settings.

problem ROMs lack robustness when applied to new parameter settings.
method Regression trees on Grassmann Manifold to learn the mapping between parameters and POD bases.
result The proposed method is capable of establishing the mapping between parameters and POD bases, thus adapting ROMs for new parameters.

In this paper, we use Clifford algebra and the spinor calculus to study the complex structures on Euclidean space R8R^8 and the spheres S4,S6S^4,S^6. By the spin representation of G(2,8)Spin(8)G(2,8)\subset Spin(8) we show that the Grassmann manifold G(2,8) can be looked as the set of orthogonal complex structures on R8R^8. In this …

2006-08-02abs ↗pdf ↗

We present here a possible generalisation of the Poincaré-Cartan form in classical field theory in the most general case: arbitrary dimension, arbitrary order of the theory and in the absence of a fibre bundle structure. We use for the kinematical description of the system the (r,n)(r,n)-Grassmann manifold associated to a…

1998-01-15abs ↗pdf ↗

Method generates intermediate domains to align source and target domains.

problem Challenges of domain adaptation with significant domain divergence.
method Progressive domain augmentation via domain interpolation and multiple subspace alignment.
result Achieves state-of-the-art performance on multiple domain adaptation tasks.

We consider the problem of subspace estimation in a Bayesian setting. Since we are operating in the Grassmann manifold, the usual approach which consists of minimizing the mean square error (MSE) between the true subspace UU and its estimate U^\hat{U} may not be adequate as the MSE is not the natural metric in the Gra…

2011-01-18abs ↗pdf ↗