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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.

169,291 papers · 148 categories

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137274410547 · Jun 202019922001200920182026
48 results for parameter manifold

Geodesic orbit metrics on real flag manifolds identified.

problem Classifying real flag manifolds with geodesic orbit metrics.
method Investigated invariant metrics on real flag manifolds, focusing on those where geodesics are orbits of one-parameter subgroups.
result Non-trivial geodesic orbit metrics exist on real flag manifolds, unlike in the complex case.

The paper establishes a correspondence between special Kähler manifolds and their deformations.

problem Mapping between affine and projective special Kähler manifolds.
method Formulation of a correspondence and application to r-maps in string theory.
result One-parameter deformations of projective special Kähler manifolds correspond to perturbative α'-corrections.

Solves geodesics in homogeneous manifolds using one-parameter subgroups.

problem Finding geodesics in homogeneous manifolds with various symmetries.
method Explicitly solving the geodesic equation for a wide class of homogeneous manifolds, proving geodesic completeness, and showing geodesics as orbits of one-parameter subgroups.
result Geodesics in homogeneous manifolds are orbits of one-parameter subgroups, and metrics can be N-parameter deformations of a Riemannian metric with special symmetries.

Study explores warped geometries of tensor manifolds, finding non-geodesic connections for some parameters.

problem Investigate non-geodesic connections in warped Segre-Veronese manifolds.
method Investigate a one-parameter family of warped geometries, presenting closed expressions for maps and distance.
result Segre-Veronese manifolds are not geodesically connected in Euclidean geometry but can be for some warping parameters.

A flow defined by a nonsingular smooth vector field XX on a closed manifold MM is said to be parameter rigid if given any real valued smooth function ff on MM, there are a smooth funcion gg and a constant cc such that f=X(g)+cf=X(g)+c holds. We show that the parameter rigid flows on closed orientable 3-manifolds are sm…

2010-02-01abs ↗pdf ↗

Maximizing mutual information selects simple models from limited data.

problem Selecting simple models from finite and potentially noisy data.
method Prior choice that maximizes mutual information between parameters and predictions.
result The method selects a lower-dimensional effective theory by ignoring poorly constrained parameters.

Sparse reduced-rank regression selects variables and ranks via manifold optimization.

problem Traditional rank selection fails when true rank is high.
method Sparse regularization and manifold optimization for rank and variable selection.
result Accurate estimation of coefficient parameter with high true rank.

We give a simple proof of the local version of a result of R. Bryant, stating that any 3-dimensional Riemannian manifold can be isometrically embedded as a special Lagrangian submanifold in a Calabi-Yau manifold. We refine the theorem proving that a certain class of one-parameter families of metrics on a 3-torus can be…

2000-11-09abs ↗pdf ↗

Given a geometrically finite hyperbolic cone-manifold, with the cone singularity sufficiently short, we construct a one parameter family of cone-manifolds decreasing the cone angle to zero. We also control the geometry of this one parameter family via the Schwarzian derivative of the projective boundary and the length …

2002-11-26abs ↗pdf ↗

We introduce a method for constructing skills capable of solving tasks drawn from a distribution of parameterized reinforcement learning problems. The method draws example tasks from a distribution of interest and uses the corresponding learned policies to estimate the topology of the lower-dimensional piecewise-smooth…

2012-06-27abs ↗pdf ↗

This Ph.D. thesis is devoted to the constructions of Lagrangian formulation on Finsler and Kawaguchi manifolds. While Finsler geometry is a natural extension of Riemannian geometry, Kawaguchi geometry is the extension of Finsler geometry to higher order derivatives and to k-dimensional parameter space. The latter exten…

2013-10-16abs ↗pdf ↗

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.

Deformations of Dubrovin's Hurwitz Frobenius manifolds are constructed. The deformations depend on g(g+1)/2g(g+1)/2 complex parameters where gg is the genus of the corresponding Riemann surface. In genus one, the flat metric of the deformed Frobenius manifold coincides with a metric associated with a one-parameter family of…

2004-08-15abs ↗pdf ↗

We study the volume growth of hyperkaehler manifolds of type AA_{\infty} constructed by Anderson-Kronheimer-LeBrun and Goto. These are noncompact complete 4-dimensional hyperkaehler manifolds of infinite topological type. These manifolds have the same topology but the hyperkaehler metrics are depends on the choice of …

2010-06-29abs ↗pdf ↗

A parametric manifold is a manifold on which all tensor fields depend on an additional parameter, such as time, together with a parametric structure, namely a given (parametric) 1-form field. Such a manifold admits natural generalizations of Lie differentiation, exterior differentiation, and covariant differentiation, …

1994-07-12abs ↗pdf ↗

The paper classifies 3D spherical Sasakian manifolds using geometric and algebraic methods.

problem Classifying 3D spherical Sasakian manifolds with specific properties.
method Establishing correspondence between different sets of parameters and geometrically describing the moduli space.
result Determination of Sasakian automorphism groups and detection of homogeneous Sasakian manifolds.

The paper examines conditions for Einstein multiply warped products and estimates their parameters.

problem Existence and non-existence of non-trivial Einstein multiply warped products.
method Analyzes conditions for the existence or non-existence of Einstein multiply warped products, especially generalized Kasner type.
result Estimates the Einstein parameter that conditions the existence of such metrics.

Inversion-free natural gradient method for Riemannian manifolds.

problem Hindered by the need for Euclidean space, Fisher information matrix inversion, and computational cost.
method Intrinsic, inversion-free natural gradient method on Riemannian manifolds, using moving approximation of inverse FIM.
result Almost-sure convergence rates and sub-quadratic storage complexity for large-scale applications.

Constructing solutions to the heterotic G2_2 system on specific types of manifolds.

problem Finding solutions to the heterotic G2_2 system on certain types of manifolds.
method Investigating a 1-parameter family of G2_2-connections on tangent bundles.
result Obtaining several approximate and one new class of exact solutions on degenerate 3-(α,δ)(α,δ)-Sasaki manifolds.

Constructs Lorentzian manifolds from Riemannian conformal structures.

problem Creating Lorentzian manifolds from Riemannian conformal structures.
method Starting from a Riemannian conformal structure, a family of Lorentzian manifolds is constructed using a metric in the conformal class and a 1-parameter family of tensor fields.
result Every Mobius structure on a Riemannian conformal structure arises from this construction.

Study shows consistency of shallow GCNNs on sampled point clouds under manifold assumption.

problem Consistency of shallow GCNNs on sampled point clouds under manifold assumption.
method Functional analysis perspective, weakly compact product of unit balls, Sobolev regularity, frequency cutoff.
result Proves ΓΓ-convergence of regularized empirical risk minimization functionals and convergence of their global minimizers.

Study on Lie groups and their geometric properties.

problem Classifying 4D Lie algebras and analyzing their geometric structures.
method Investigation of 4D Lie groups as manifolds, focusing on indecomposable real Lie algebras with two parameters and their almost hypercomplex structures with Hermitian-Norden metrics.
result Geometric characteristics of almost hypercomplex manifolds derived from 4D Lie groups.

The study reveals a persistent bias in the distribution of holonomy on compact hyperbolic 3-manifolds.

problem The distribution of holonomy on compact hyperbolic 3-manifolds is not uniformly distributed.
method An asymptotic count of closed geodesics by their length and holonomy, and analysis of spectral parameters.
result A normalized, smoothed bias count of holonomy is distributed according to a probability distribution, controlled by the number of zero spectral parameters.

The 2-parameter family of certain homogeneous Lorentzian 3-manifolds which includes Minkowski 3-space, de Sitter 3-space, and Minkowski motion group is considered. Each homogeneous Lorentzian 3-manifold in the 2-parameter family has a solvable Lie group structure with left invariant metric. A generalized integral repre…

2015-03-09abs ↗pdf ↗

Generalizes Aubin's result for Yamabe-type problem on smooth metric measure spaces.

problem Solving Yamabe-type problem on smooth metric measure spaces.
method Generalization of Aubin's result for nonlocally conformally flat manifolds with dimension ≥ 6 and parameter m close to nonnegative integers.
result Generalization of Aubin's result for Yamabe-type problem.

New bounds on treewidth for 3-manifolds, linking topology and computational tractability.

problem Understanding the relationship between the topology of 3-manifolds and their treewidth.
method Analyzing the dual graphs of triangulations of 3-manifolds to determine treewidth bounds.
result Closed, orientable 3-manifolds have treewidth at most 4g(M)-2, where g(M) is the Heegaard genus.

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.

Algorithm calculates quantum invariants of 3-manifolds with polynomial time complexity.

problem Computing quantum invariants from Tambara-Yamagami categories is #P-hard.
method Fixed-parameter tractable algorithm with first Betti number as parameter.
result Existence of FPT algorithm for Tambara-Yamagami invariants.

Survey of stated skein modules/algebras of 3-manifolds/surfaces.

problem Understanding stated skein modules/algebras of 3-manifolds/surfaces.
method Discussion of splitting homomorphism, general structures, Frobenius homomorphism, center, dimension, representation theory.
result Skein algebra of non-closed marked surface at any root of 1 is a maximal order.

Method finds approximate Ricci-flat metrics on Calabi-Yau manifolds.

problem Finding analytic Kähler potentials for Calabi-Yau manifolds.
method Numerically calculating Ricci-flat Kähler potentials via machine learning and fitting to Donaldson's Ansatz.
result Simple analytic expressions for approximately Ricci-flat Kähler potentials are found, including explicit dependence on complex structure parameter.

We present a systematic calculation of the volumes of compact manifolds which appear in physics: spheres, projective spaces, group manifolds and generalized flag manifolds. In each case we state what we believe is the most natural scale or normalization of the manifold, that is, the generalization of the unit radius co…

2002-10-16abs ↗pdf ↗

Due to the growing ubiquity of unlabeled data, learning with unlabeled data is attracting increasing attention in machine learning. In this paper, we propose a novel semi-supervised kernel learning method which can seamlessly combine manifold structure of unlabeled data and Regularized Least-Squares (RLS) to learn a ne…

2012-03-15abs ↗pdf ↗