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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.

169,341 papers · 148 categories

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48 results for singular Hessians

Study solves complex Hessian equations with prescribed singularities on compact Kähler manifolds.

problem Solving complex Hessian equations with specific singularity types on compact Kähler manifolds.
method Analyzes the total mass of complex Hessian measures and solves equations with prescribed singularities.
result Proves non-decreasing total mass of complex Hessian measures and solves complex Hessian equations.

Study Hessian equations on compact Kähler manifolds with prescribed singularities.

problem Characterize finite energy ranges of the Hessian operator and solutions of degenerate complex Hessian equations.
method Reformulate pluripotential results to Hessian setting and use a new method.
result Prove solutions of degenerate complex Hessian equations have the same singularity type as the model potential.

We study Hessian fully nonlinear uniformly elliptic equations and show that the second derivatives of viscosity solutions of those equations (in 12 or more dimensions) can blow up in an interior point of the domain. We prove that the optimal interior regularity of such solutions is no more than C^{1+ε}, showing the opt…

2008-05-17abs ↗pdf ↗

Constructs mappings with restricted Hessians to approximate Hölder functions.

problem Approximating Hölder continuous functions with mappings having singular Hessians.
method Constructs a sequence of mappings with restricted Hessians that converge to a Hölder function in C1,αC^{1,α} and weakly in W2,pW^{2,p}.
result Functions in W2,pW^{2,p} with rank inequality can be approximated by mappings with singular Hessians.

Solves complex Hessian equations in unstable cases, proving unique canonical solutions with singularities.

problem Existence of smooth solutions to complex Hessian equations in unstable cases.
method Parabolic flows and moment-map energy functionals, focusing on J-equation and deformed Hermitian Yang-Mills equation.
result Proves existence of unique canonical solutions with singularities on Kahler surfaces.

Study classifies special metrics on specific surfaces.

problem Classifying extremal Kähler metrics with singularities.
method Analyzes Hessian of the Curvature of the Metric on K-surfaces.
result Identifies non-CSC HCMU metrics on S{α}2S^2_{\{α\}} and S{α,β}2S^2_{\{α,β\}}.

Solves Monge-Ampère equations on compact Hessian manifolds using the Perron method.

problem Solving Monge-Ampère equations on compact Hessian manifolds.
method Perron method, compactness properties of normalized quasi-convex functions, local and global comparison principles for twisted Monge-Ampère operators.
result Solves Monge-Ampère equations involving arbitrary probability measures.

Study of complex Hessian equations using subharmonic functions and geodesics.

problem Understanding geodesics within complex Hessian equations.
method Perron envelope construction, comparison principle, rooftop equality, Kiselman minimum principle.
result Established criterion for geodesic connectivity among mm-subharmonic functions.

The paper explores the geometric structure of cost functions in multiple dimensions.

problem Understanding the geometric properties of cost functions in multidimensional settings.
method Analyzes the Hessian metric and geodesics in logarithmic and original coordinates.
result The geometry is one-dimensional in logarithmic coordinates but effectively (n1)(n-1)-dimensional in original coordinates.

The paper studies the smoothness of critical points of variational integrals on Hessian spaces.

problem The study focuses on the regularity of critical points of variational integrals defined on Hessian spaces.
method The approach involves solving a fourth order nonlinear equation and analyzing the Hessian of the critical points.
result Smooth critical points with bounded Hessian are shown to be smooth provided their Hessian has small BMO.

New framework for higher-order singular-value derivatives of rectangular matrices.

problem Challenging to derive higher-order Fréchet derivatives of singular values in real rectangular matrices.
method Using Kato's analytic perturbation theory for self-adjoint operators and embedding rectangular matrices into block self-adjoint operators.
result Closed-form expressions for the nn-th order spectral variations of singular values.

The paper describes a fine representation of the Ricci tensor and Hessian on RCD spaces.

problem Understanding the structure of the Ricci tensor and Hessians on RCD spaces.
method Polar decomposition of the Ricci tensor and Hessians, providing regularity results.
result The Ricci tensor and Hessians on RCD spaces can be represented by a polar decomposition, revealing their regularity.

New approach solves Calabi problem on manifolds with edge-cone singularities.

problem Solving the Calabi problem on manifolds with edge-cone singularities.
method Proposes a new approach using a good reference metric and equivalent equations with different reference metrics.
result Extends methods from smooth settings to edge settings, generalizing to multiple hypersurfaces.

The study classifies Hessian rank 1 hypersurfaces in dimensions 2, 3, and 4.

problem Classifying Hessian rank 1 affinely homogeneous hypersurfaces in specific dimensions.
method Power Series Method of Equivalence, infinitesimal calculations.
result Identified all non-product constant Hessian rank 1 affinely homogeneous hypersurfaces in dimensions 2, 3, and 4.

The paper studies the structure of endpoint maps near nice singular curves in sub-Riemannian structures.

problem Understanding the structure of endpoint maps near nice singular curves in sub-Riemannian structures.
method Finding a normal form for the endpoint map and studying its restriction to level sets of the action functional.
result The endpoint map can be written as a sum of a linear map and a quadratic form locally around a nice singular curve.

The Hessian Topology is a subject with interesting relations with some classical problems of analysis and geometry. In this article we prove a conjecture on this subject stated by V.I. Arnold concerning the number of connected components of hyperbolic homogeneous polynomials of degree nn. The proof is constructive and…

2013-01-11abs ↗pdf ↗

Improved graph neural network bounds using graph diffusion matrix.

problem Empirical performance of graph neural networks on real-world graphs.
method Unified model of graph neural networks, focusing on feature diffusion matrix stability.
result Generalization bounds scale with largest singular value of feature diffusion matrix, smaller than prior bounds.

Squared families are a new model class derived from linear transformations, offering convenient properties and universal approximation.

problem Developing a new class of probability models that are easier to handle and have useful properties.
method Introducing squared families as families of probability densities obtained by squaring a linear transformation of a statistic, and showing their properties and applications.
result Squared families have convenient properties and can approximate target densities well.

Paper shows non-CSC HCMU metrics can't be isometrically immersed into 3D space forms.

problem Non-CSC HCMU metrics cannot be isometrically immersed into 3D space forms.
method Using moving frames to demonstrate the impossibility of isometric minimal immersion.
result Non-CSC HCMU metrics cannot be isometrically immersed into 3D space forms.

The study proves that certain noncompact Hessian manifolds are diffeomorphic to R^n.

problem Characterizing complete noncompact Hessian manifolds with nonnegative Hessian sectional curvature.
method Using a geometric flow on noncompact affine Riemannian manifolds, constructing Hessian metrics, and proving diffeomorphism.
result Complete noncompact Hessian manifolds with nonnegative Hessian sectional curvature are diffeomorphic to R^n if their tangent bundle has maximal volume growth.

Deep ReLU networks escape from the origin via saddle points with a low-rank bias.

problem Understanding the dynamics of gradient descent in deep ReLU networks.
method Analysis of escape directions and singular values of weight matrices.
result The first singular value of the \ell-th layer weight matrix is at least 14\ell^{\frac{1}{4}} larger than any other singular value.

New Hessian estimates for heat equations on manifolds.

problem Estimating Hessian matrices for heat-type equations on Riemannian manifolds.
method Using Bismut-Stroock Hessian formula, with explicit coefficients and delay/growth rate functions.
result Novel backward weak Harnack inequality and precise pointwise Hessian estimates for eigenfunctions.

Characterizes and describes selfsimilar Hessian manifolds with homothetic vector fields.

problem Understanding the structure and properties of selfsimilar Hessian manifolds.
method Characterization and description of selfsimilar manifolds with homothetic vector fields.
result Any selfsimilar Hessian manifold with a potential homothetic vector field is locally isomorphic to a product of radiant Hessian manifolds.

The paper proves criteria for solving complex Hessian equations on projective manifolds.

problem Solving complex Hessian-type equations on projective manifolds.
method Proves Nakai-Moishezon-type criteria for equations with specific polynomial properties.
result Uniform criteria for solving complex Hessian and Hessian quotient equations.

The study provides a criterion for solving complex Hessian-type equations on projective manifolds.

problem Solving complex Hessian-type equations on projective manifolds.
method Proving Nakai-Moishezon-type criteria for these equations.
result Uniform criteria for solving these equations, including complex Hessian and Hessian quotient equations.