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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.

168,742 papers · 148 categories

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59118176235 · Jun 202019922001200920172026
48 results for maximal rank

New rigidity results for manifolds with maximal symmetry rank and positive intermediate Ricci curvature.

problem Understanding the structure of manifolds with maximal symmetry rank and positive intermediate Ricci curvature.
method Recovering stronger topological rigidity results using higher intermediate Ricci curvatures and nontrivial fundamental groups.
result Stronger topological rigidity results for manifolds with maximal symmetry rank and positive intermediate Ricci curvature.

Study on invariant anti-quasi-Sasakian structures on compact manifolds.

problem Existence and classification of invariant anti-quasi-Sasakian structures of maximal rank.
method Analysis of invariant structures on compact homogeneous Riemannian manifolds and nilpotent Lie groups.
result Classification of invariant anti-quasi-Sasakian structures on nilpotent Lie groups.

Generalizes Dolbeault cohomology computation to Levi-flat CR structures on compact Lie groups.

problem Computing Dolbeault cohomology for Levi-flat CR structures on compact Lie groups.
method Algebraic classification of left-invariant CR structures combined with Pittie's result on compact Lie groups.
result Generalization of Dolbeault cohomology computation to Levi-flat CR structures.

The paper solves a 25-year-old problem about maximal growth distributions on manifolds.

problem Existence and classification of maximal growth distributions on smooth manifolds.
method Higher order convex integration and new criteria for ampleness of differential relations.
result Positive answer to the open question about parallelizable manifolds admitting maximal growth distributions.

We study the large scale geometry of the mapping class group, MCG. Our main result is that for any asymptotic cone of MCG, the maximal dimension of locally compact subsets coincides with the maximal rank of free abelian subgroups of MCG. An application is an affirmative solution to Brock-Farb's Rank Conjecture which as…

2005-12-15abs ↗pdf ↗

Constructs canonical frames for specific distributions, proving maximality and describing germs.

problem Local geometry of rank 2 distributions with specific cube dimensions.
method Uniform construction of canonical absolute parallelism, iterative Cartan deprolongation.
result Automatic maximality condition holds at generic points, covering all cases.

Let M0n\mathcal{M}_{0}^n be the class of closed, simply-connected, non-negatively curved Riemannian manifolds admitting an isometric, effective, isotropy-maximal torus action. We prove that if MM0nM\in \mathcal{M}_{0}^n, then MM is equivariantly diffeomorphic to the free linear quotient by a torus of a product of spheres…

2015-06-29abs ↗pdf ↗

Let Pi: M -> B be an onto maximal rank map or a Riemannian submersion between Riemannian manifolds M and B. Initially, we prove necessary and sufficient conditions for any fiber F to be roughly isometric to M. Then, we prove necessary and sufficient conditions for Pi to be a rough isometry. As a corollary M is roughly …

2006-06-04abs ↗pdf ↗

Study on almost complex structures with maximal Nijenhuis tensor rank and cohomological properties.

problem Maximally non-integrable almost complex structures and their cohomological properties.
method h-principle and topological invariants characterization.
result Existence of almost complex structures with maximal Nijenhuis tensor rank on parallelizable and certain manifolds.

Proposes a method to enhance multi-view learning by maximizing higher order correlations.

problem Losing intrinsic interconnections among multiple views in pairwise correlation maximization.
method Formulates multi-view data as a low rank approximation problem using higher order correlation tensor and solves it with the generating polynomial method.
result Consistently outperforms prior methods on real multi-view data.

The paper proves concentration inequalities for two-sample rank processes and applies them to ranking performance criteria.

problem Measuring the performance of ranking statistics between two populations.
method Proves concentration inequalities for two-sample rank processes indexed by VC classes of scoring functions.
result Generalization capacity of empirical maximizers of ranking performance criteria is investigated.

In the present paper we define Samuelson's webs and their rank. The main result of the paper is the proof that the rank of the Samuelson webs does not exceed 6, as well as finding the conditions under which this rank is maximal for the general Samuelson webs as well as for their singular cases.

2009-09-03abs ↗pdf ↗

Recently, the \textit{Tensor Nuclear Norm~(TNN)} regularization based on t-SVD has been widely used in various low tubal-rank tensor recovery tasks. However, these models usually require smooth change of data along the third dimension to ensure their low rank structures. In this paper, we propose a new definition of da…

2019-10-26abs ↗pdf ↗

Optimal insurance strategy for maximizing RDEU under various premium principles.

problem Maximizing a risk-averse individual's RDEU with insurance priced by a distortion-deviation principle.
method Proved necessary and sufficient conditions for the optimal solution, considered ambiguity orders, and analyzed specific examples.
result Conditions for no insurance or deductible insurance to be optimal.

The rank of a hierarchically hyperbolic space is the maximal number of unbounded factors in a standard product region. For hierarchically hyperbolic groups, this coincides with the maximal dimension of a quasiflat. Examples for which the rank coincides with familiar quantities include: the dimension of maximal Dehn twi…

2017-04-13abs ↗pdf ↗

Confocal conics form an orthogonal net. Supplementing this net with one of the following: 1) the net of Cartesian coordinate lines aligned along the principal axes of conics, 2) the net of Apollonian pencils of circles whose foci coincide with the foci of conics, 3) the net of tangents to a conic of the confocal family…

2019-12-04abs ↗pdf ↗

We study the spherical cap packing problem with a probabilistic approach. Such probabilistic considerations result in an asymptotic sharp universal uniform bound on the maximal inner product between any set of unit vectors and a stochastically independent uniformly distributed unit vector. When the set of unit vectors …

2015-11-19abs ↗pdf ↗

Paper proves geodesic ball maximizes second Robin eigenvalue in non-compact symmetric spaces.

problem Maximizing the second Robin eigenvalue in non-compact rank-1 symmetric spaces.
method Quantitative spectral inequality for the second Robin eigenvalue.
result Geodesic ball maximizes the second Robin eigenvalue among domains of the same volume.

An upper bound is obtained on the rank of a torus which can act smoothly and effectively on a smooth, closed, simply connected, rationally elliptic manifold. In the maximal-rank case, the manifolds admitting such actions are classified up to equivariant rational homotopy type.

2015-11-26abs ↗pdf ↗

A hyperbolic lattice is called \textit{1.21.2-reflective} if the subgroup of its automorphism group generated by all 11- and 22-reflections is of finite index. The main result of this article is a complete classification of 1.21.2-reflective maximal anisotropic lattices of rank 44.

2016-10-19abs ↗pdf ↗

In this paper, we consider the problem of low-rank phase retrieval whose objective is to estimate a complex low-rank matrix from magnitude-only measurements. We propose a hierarchical prior model for low-rank phase retrieval, in which a Gaussian-Wishart hierarchical prior is placed on the underlying low-rank matrix to …

2018-11-05abs ↗pdf ↗

For many internet businesses, presenting a given list of items in an order that maximizes a certain metric of interest (e.g., click-through-rate, average engagement time etc.) is crucial. We approach the aforementioned task from a learning-to-rank perspective which reveals a new problem setup. In traditional learning-t…

2017-02-24abs ↗pdf ↗

The paper solves an insurance problem using mean-variance and rank-dependent utility theory.

problem Formulating and solving an insurance problem with rank-dependent utility and mean-variance premium principle.
method Formulated as a non-concave maximization problem, then turned into a concave quantile optimization problem, solved using calculus of variations.
result An optimal insurance contract is derived and numerically computed.

The study examines the independence of GKM manifolds and symmetric spaces.

problem Understanding the independence of isotropy weights in GKM manifolds.
method Using weighted graphs and properties of symmetric spaces, the study analyzes the independence of isotropy weights.
result The maximal independence of G/HG/H is 22, 33, or n=dimTn=\dim T, corresponding to symmetric spaces of rank >2>2.