Research
On-device research index

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.

168,695 papers · 148 categories

Trend · papers per month

126253379505 · Jun 202019922001200920172026
48 results for Hessian spaces

Paper solves Hessian quotient equations in Lorentz-Minkowski space with Dirichlet boundary conditions.

problem Existence and uniqueness of solutions to Hessian quotient equations in Lorentz-Minkowski space.
method Suitable settings to prove existence and uniqueness of solutions.
result Existence and uniqueness of solutions to the class of Hessian quotient equations.

Curved Frobenius manifolds link to Hessian metrics in geometry.

problem Understanding curved Frobenius manifolds and their relation to Hessian metrics.
method Analyzing the relationship between curved Frobenius structures and Hessian metrics on spaces with non-vanishing curvature.
result Consistent curved Frobenius structures on constant curvature spaces are linked to Hessian metrics.

Study the Hessian geometry of an ideal gas in a centrifuge.

problem Understanding the Hessian geometry of an ideal gas in a centrifuge.
method Investigate the Hessian geometry associated with an ideal gas in a spherical centrifuge, using the action of the Euclidean rotation group.
result The Hessian geometry of a spherical rigid body is isometric to a hyperbolic space in the high angular velocity limit.

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.

Constructs homogeneous Kähler structures on tangent bundles of Hessian manifolds.

problem Creating Kähler structures on tangent bundles of Hessian manifolds.
method Endowing Hessian manifolds with Kähler structures using group actions and homothetic vector fields.
result Homogeneous conformally Kähler structures on tangent bundles of selfsimilar Hessian manifolds.

Paper solves curvature equations in Minkowski space for non-convex domains.

problem Solving curvature equations in non-convex domains of Minkowski space.
method Existence theorem proved via \emph{a priori} estimates and Serrin-type condition.
result Existence of solutions for curvature equations in non-convex domains.

The target space geometry of abelian vector multiplets in N=2{\cal N}= 2 theories in four and five space-time dimensions is called special geometry. It can be elegantly formulated in terms of Hessian geometry. In this review, we introduce Hessian geometry, focussing on aspects that are relevant for the special geometrie…

2019-09-13abs ↗pdf ↗

The paper establishes Pogorelov type estimates for solutions to Hessian quotient equations in hyperbolic space.

problem Estimating solutions to Hessian quotient equations in Lorentz-Minkowski space.
method Using a priori estimates, the paper establishes Pogorelov type estimates for k-convex solutions.
result Pogorelov type estimates for k-convex solutions to Hessian quotient equations in hyperbolic space.

The study finds continuous solutions to complex Hessian equations on compact Hermitian manifolds.

problem Finding continuous solutions to complex Hessian equations on compact Hermitian manifolds.
method Deriving an LL^\infty-estimate for bounded solutions to the complex mm-th Hessian equations on compact Hermitian manifolds, assuming a positive right-hand side in the Orlicz space Lnm(logL)n(hloglogL)nL^{\frac{n}{m}}(\log L)^n(h\circ\log \circ \log L)^n.
result Establishing the existence of continuous solutions to the complex Hessian equation under the prescribed assumptions.

A new spline method for manifold learning using Hessian-based curvature penalties.

problem Learning manifolds with curvature penalties in high dimensions.
method Generalizes thin-plate splines to flat manifolds using Hessian matrices, minimizing square error with curvature constraints.
result Existence and uniqueness of the spline solution, expressed as Green's functions and Hessian approximations.

A selfsimiar manifold is a Riemannian manifold (M,g)\left(M,g\right) endowed with a homothetic vector field ξξ. We characterize global selfsimilar manifolds and describe the structure of local selfsimilar manifolds. We prove that any selfsimilar manifold with a potential homothetic vector field is a conical Riemannian ma…

2019-08-05abs ↗pdf ↗

Study extends Hausdorff dimension Hessian results to new hyperconvex representations.

problem Extending classical results on Hausdorff dimension Hessian.
method Analyzes (1,1,2)-hyperconvex representations and small complex deformations.
result Positive definiteness of Hessian of Hausdorff dimension for co-compact Γ in PO(n,1).

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.

The study sets limits on heat equation solutions' Hessians on curved spaces.

problem Bounding Hessians of positive solutions to heat equations on Kähler manifolds.
method Global and local upper bounds for Hessian matrices under curvature constraints.
result Improved bounds on Hessians for Riemannian manifolds with lower sectional curvature.

In this article we show that every geodesic is rank one and the Hessian of Busemann functions is positive definite for a harmonic Damek-Ricci space, a two step solvable Lie group with a left invariant metric. Moreover, the eigenspace of the Hessian of Busemann functions on a Hadamard manifold (M,g)(M,g) corresponding to e…

2017-02-13abs ↗pdf ↗

Study geometric properties of loss functions to understand neural network performance.

problem Understanding the geometric properties of high-dimensional loss functions to improve neural network performance.
method Combine concepts from high-dimensional probability and differential geometry to study curvature properties in lower-dimensional loss representations.
result Mean curvature in the original loss space determines if saddle points appear as minima, maxima, or flat regions.

We give a complete classification of 1-dimensional exponential families E\mathcal{E} defined over a finite space Ω={x0,...,xn}Ω=\{x_{0}, ...,x_{n}\} whose Hessian scalar curvature is constant. We observe an interesting phenomenon: if E\mathcal{E} has constant Hessian scalar curvature, say λλ, then λ=2kλ=\tfrac{2}{k} for some pos…

2019-06-05abs ↗pdf ↗

Study proves radial symmetry of solutions to certain nonlinear equations in space forms.

problem Proving radial symmetry of solutions to nonlinear equations in space forms.
method Establishing Rellich-Pohožaev type identities for Hessian quotient and k-Hessian equations.
result Radial symmetry of solutions for Hessian quotient and k-Hessian equations in space forms.

The paper defines Hesse solitons and explores their properties on Hessian manifolds.

problem Exploring self-similar solutions to the Hesse flow on Hessian manifolds.
method Defining Hesse solitons and analyzing their properties on Hessian manifolds.
result Compact proper Hesse solitons are expanding, and non-trivial compact gradient Hesse solitons are proper.

Study special Lagrangian moduli spaces with boundary.

problem Understanding geometric structures on moduli spaces of special Lagrangians.
method Investigates geometric structures and constructs special affine structures and a Hessian metric.
result Constructs a pair of special affine structures and a Hessian metric on the moduli space.

The paper solves PDEs from matrices with orthogonal columns, linking them to Hessian metrics and symmetric spaces.

problem Solving third order PDEs for strictly convex smooth functions.
method Geometric methods using Hessian metrics and symmetric spaces.
result Explicit solutions and a family of non-generic solutions with applications in Poisson geometry and Kahler structures.

The study explores Hesse manifolds and their symmetries in multifield cosmological models.

problem Understanding symmetries in multifield cosmological models.
method Analyzes Hesse functions and their properties on Riemannian manifolds.
result Complete Hesse manifolds are characterized by their index and are hyperbolic.

We present a brief but nearly self-contained proof of a formula for the Weil-Petersson Hessian of the geodesic length of a closed curve (either simple or not simple) on a hyperbolic surface. The formula is the sum of the integrals of two naturally defined positive functions over the geodesic, proving convexity of this …

2009-02-02abs ↗pdf ↗

In this brief survey, we will remark the interaction among the Hessian tensor on a semi-Riemannian manifold and some of the several questions in Lorentzian (and also in semi-Riemannian) geometry where this 2-covariant tensor is involved. In particular, we deal with the characterization of Killing vector fields and the …

2006-07-05abs ↗pdf ↗

Noise injection regularizes Hessian, improving neural network training and generalization.

problem Regularizing over-parameterized neural networks with nonconvex and nonlinear geometry.
method Injecting isotropic Gaussian noise into weight matrices and designing a two-point estimate of the Hessian penalty.
result Effective regularization of Hessian improves generalization, achieving up to 2.4% test accuracy increase.

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.

The nonzero level sets of a homogeneous, logarithmically homogeneous, or translationally homogeneous function are affine spheres if and only if the Hessian determinant of the function is a multiple of a power or an exponential of the function. In particular, the nonzero level sets of a homogeneous polynomial are proper…

2013-07-20abs ↗pdf ↗

Let UAnU \subset \mathbb A^n be an open subset of real affine space. We consider functions F:URF: U \to \mathbb R with non-degenerate Hessian such that the first or the third derivative of FF is parallel with respect to the Levi-Civita connection defined by the Hessian metric F"F". In the former case the solutions are gi…

2013-03-29abs ↗pdf ↗

New results on the convexity of geodesic-length functions on Teichmüller space are presented. A formula for the Hessian of geodesic-length is presented. New bounds for the gradient and Hessian of geodesic-length are described. A relationship of geodesic-length functions to Weil-Petersson distance is described. Applicat…

2005-02-24abs ↗pdf ↗

Approximate Newton methods are a standard optimization tool which aim to maintain the benefits of Newton's method, such as a fast rate of convergence, whilst alleviating its drawbacks, such as computationally expensive calculation or estimation of the inverse Hessian. In this work we investigate approximate Newton meth…

2015-07-29abs ↗pdf ↗

Affine manifolds linked to integrable equations and geometric structures.

problem Understanding the geometric and algebraic properties of affine manifolds.
method Analyzing the Kahlerian tangent bundle and multi-dimensional consistency of the TED equation.
result Affine manifolds are related to self-dual Einstein spaces and Hessian structures.

This work connects the Hessian to the decision boundary complexity in neural networks.

problem Understanding the decision boundary complexity in high-dimensional input space.
method Characterizing the decision boundary using the Hessian top eigenvectors and analyzing the number of outliers.
result The number of outliers in the Hessian spectrum is proportional to the complexity of the decision boundary.