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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.

168,657 papers · 148 categories

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183367550733 · Jun 202019922001200920172026
48 results for weighted projective space

Smooth superspace with special weights has a Fubini-Study form.

problem Describing a new smooth superspace with a special structure.
method Construction of weighted projective superspace and description of its structure.
result Smooth superspace with weights +1,1+1, -1 has an analog of the Fubini-Study form.

Weil-Petersson volumes vary continuously with weighted points on a projective line.

problem Continuity of Weil-Petersson volumes in moduli space with weighted points.
method Localization and geometric computation methods.
result CM volume converges to geometric volume as weights approach Calabi-Yau geometry.

We construct the first examples of families of bad Riemannian orbifolds which are isospectral with respect to the Laplacian but not isometric. In our case these are particular fixed weighted projective spaces equipped with isospectral metrics obtained by a generalization of Schüth's version of the torus method.

2010-04-08abs ↗pdf ↗

A new metric framework for weighted projective spaces improves clustering and analysis.

problem Proximity measurement in weighted projective spaces with intrinsic scaling and topology.
method Hierarchical clustering framework based on Finsler geometry, quotienting weighted scaling action.
result The constructed metric dFd_F satisfies the triangle inequality, making it a genuine metric.

Extends illumination bodies to non-Euclidean spaces and proves their volume derivative defines surface area.

problem Defining surface area in non-Euclidean geometries.
method Generalizes illumination bodies to Riemannian spaces of constant curvature and projective Finsler geometries, proving their volume derivative defines surface area.
result Derivative of volume of illumination bodies defines surface area in non-Euclidean geometries.

In this work we study some problems related with algebraic hypersurfaces invariant by foliations on weighted projective spaces PC(ϖ0,...,ϖn)\mathbb{P}_{\mathbb{C}}(\varpi_0,...,\varpi_n) generalizing some results known for $\p$, as for example: the number of singularities, with multiplicities, contained in the invariant quasi-smo…

2009-01-13abs ↗pdf ↗

In this paper, we introduce the weighted projective Ricci curvature as an extension of projective Ricci curvature introduced by Z. Shen. We characterize the class of Randers metrics of weighted projective Ricci flat curvature. We find the necessary and sufficient condition under which a Kropina metric has weighted proj…

2019-08-26abs ↗pdf ↗

Rare data in a large-scale database are called outliers that reveal significant information in the real world. The subspace-based outlier detection is regarded as a feasible approach in very high dimensional space. However, the outliers found in subspaces are only part of the true outliers in high dimensional space, in…

2014-05-05abs ↗pdf ↗

Researchers extend asymptotic analysis to Bergman projections with Gevrey weights.

problem Analyzing Bergman projections with Gevrey weights.
method Extending direct approach to semiclassical asymptotics to Gevrey weights using Fourier integral operators.
result Gevrey symbol amplitude of asymptotic Bergman projection with Gevrey weights and Gevrey-type growth rate.

Study links K-stability of certain surfaces to binary forms, proving stability and non-stability conditions.

problem Investigating K-stability of specific del Pezzo surfaces.
method Relating K-stability to GIT stability of binary forms, proving stability and non-stability conditions.
result K-polystability and non-K-stability of quasi-smooth hypersurfaces.

Study on volumes of random inscribed polytopes in projective geometries.

problem Estimating volumes of random inscribed polytopes in projective geometries.
method Central limit theorems and normal approximation for volumes and dual volumes of random inscribed polytopes.
result Established central limit theorems and normal approximation for volumes and dual volumes of random inscribed polytopes.

Improved Q-learning for multi-agent reinforcement learning by weighting joint action values.

problem QMIX restricts QQ-values to monotonic mixtures, limiting complex value functions.
method Introduced weighted projection to recover optimal policies, improving performance.
result CW QMIX and OW QMIX outperform baseline QMIX on multi-agent tasks.

Optimal weight windows are found by projecting the origin onto a convex polytope.

problem Finding the best weight windows for a weighted moving average smoother.
method Formulated as a quadratic program and projection onto a convex polytope.
result Optimal weight windows are symmetrical and decrease in weight away from the center.

Three new efficient algorithms project vectors onto weighted l1 ball.

problem Sparse system identification and feature selection.
method Projected gradient descent algorithms with linear or highly competitive quadratic worst case complexities.
result Efficient tools for machine learning methods like compress sensing and feature selection.

Characterizes closures of mapping class group orbits on non-orientable surfaces.

problem Understanding closures of orbits in Teichmüller spaces for non-orientable surfaces.
method Analyzes closures in ML\mathcal M\mathcal L and PML\mathcal P\mathcal M\mathcal L for measured laminations, projective measured laminations, and points.
result Characterizes closures of weighted two-sided curves in ML\mathcal M\mathcal L.

Paper converts deep networks to flat, equivalent kernel machines.

problem Capacity control and uniform convergence in deep learning.
method Push-forward transformation from deep networks to indefinite kernel machines.
result Flat network weights are Lp-norm regularized (0<p<1).

In an earlier paper we explained how to convert the problem of symplectically embedding one 4-dimensional ellipsoid into another into the problem of embedding a certain set of disjoint balls into \CP^2 by using a new way to desingularize orbifold blow ups Z of the weighted projective space \CP^2_{1,m,n}. We now use a r…

2008-08-26abs ↗pdf ↗

Formula for sl2\mathfrak{sl}_2 weight system on complete bipartite graphs.

problem Computing values of sl2\mathfrak{sl}_2 weight system for chord diagrams.
method Chmutov-Varchenko recurrence relation, Hopf algebra projections.
result Computed values for chord diagrams with complete bipartite intersection graphs.

UAPCA projects uncertain data to low dimensions using GMMs.

problem Uncertain multidimensional data not well described by normal distributions.
method Model data with Gaussian mixture models, derive UAPCA projection from general formulation.
result Low-dimensional projections better represent multidimensional distributions.

An index theorem for the anti-self-dual deformation complex on anti-self-dual orbifolds with cyclic quotient singularities is proved. We present two applications of this theorem. The first is to compute the dimension of the deformation space of the Calderbank-Singer scalar-flat Kahler toric ALE spaces. A corollary of t…

2012-05-17abs ↗pdf ↗

We prove the existence and uniqueness of a *projectively equivariant symbol map*, which is an isomorphism between the space of bidifferential operators acting on tensor densities over RnR^n and that of their symbols, when both are considered as modules over an imbedding of sl(n+1,R)sl(n+1,\R) into polynomial vector fields. Th…

2000-06-07abs ↗pdf ↗

A new faster neural network training method using backprojection.

problem Training feedforward neural networks more efficiently.
method Projection and reconstruction at each layer to force projected data and reconstructed labels to be similar.
result The proposed method is faster than backpropagation and gives insights into networks.

Develops exact and invariant study-based decompositions for network meta-analysis.

problem Lack of exact contribution decompositions in network meta-analysis.
method Contrast-space projection formulation of NMA, study-based definition of direct and indirect evidence.
result Exact covariance-aware decompositions of NMA estimator into direct and indirect contributions.

Classifies and constructs intertwining differential operators between vector bundles over real projective space.

problem Classifying and constructing intertwining differential operators between vector bundles over RP2\mathbb{RP}^2.
method Utilizes SL(3,R)SL(3,\mathbb{R})-intertwining differential operators, BGG resolution, and representation theory.
result Irreducible unitary highest weight modules of SU(1,2)SU(1,2) at reduction points classified by Cartan and PRV operators.

We generalize Fulton and MacPherson's configuration space construction to weighted filtered manifolds.

problem Infinitesimal collision data in filtered manifolds with higher-order compatibility.
method Generalizing Fulton and MacPherson's blow-up approach to weighted arrangements of submanifolds.
result Smoothness of the weighted blow-up under reasonable assumptions.

We introduce a quotient of the affine Temperley-Lieb category that encodes all weight-preserving linear maps between finite-dimensional sl(2)-representations. We study the diagrammatic idempotents that correspond to projections onto extremal weight spaces and find that they satisfy similar properties as Jones-Wenzl pro…

2017-01-09abs ↗pdf ↗

This work is a continuation of the former paper in which principal bundles are given by compact spin toric manifolds and compact connected semisimple Lie groups. In this paper, ambient manifolds are assumed to be compact toric manifolds and Lie groups are compact connected. The main result is that locally smooth manifo…

2007-03-06abs ↗pdf ↗

Decentralized optimization on dynamic manifolds with improved regret bound.

problem Optimizing on nonstationary Riemannian manifolds in decentralized systems.
method Decentralized projected Riemannian gradient descent with weighted Frechet mean consensus.
result Achieved dynamic regret bound of O(T(1+PT)/(1σ2(W))){\cal O}(\sqrt{T(1+P_T)}/\sqrt{(1-σ_2(W))}).

Based on the property that solving the system of linear matrix equations via the column space and the row space projections boils down to an approximation in the least squares error sense, a formulation for learning the weight matrices of the multilayer network can be derived. By exploiting into the vast number of feas…

2018-11-20abs ↗pdf ↗

Study projective representations of infinite-dimensional Hilbert-Lie groups.

problem Characterize and classify representations of Hilbert-Lie groups.
method Use covariance with respect to one-parameter groups of automorphisms and implement perturbation theory.
result Explicit determination of central extensions for projective representations.