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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.

168,742 papers · 148 categories

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25.0%50.0%75.0%100.0% · Feb 199419922001200920172026
48 results for Hessian sectional curvature

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 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.

Equivalence found between smooth and synthetic timelike curvature bounds.

problem Understanding timelike sectional curvature bounds in spacetime geometry.
method Established equivalence between sectional curvature bounds on timelike planes and synthetic timelike bounds.
result Equivalence proved for sectional curvature bounds on timelike planes and synthetic timelike bounds on strongly causal spacetimes.

Study the geometry of a Lie group using Hessian and flat affine structures.

problem Understanding the geometry of a specific Lie group.
method Examined using bi-invariant Hessian metric and flat affine structure, focusing on curvatures, causal structure, and developed map.
result Determined curvatures, tidal force, and Jacobi vector fields of the Hessian metric.

The paper proves properties of geometric flows on noncompact manifolds.

problem Existence criteria for geometric flows on noncompact affine Riemannian manifolds.
method Obtained existence criteria through a geometric flow on noncompact affine Riemannian manifolds.
result Complete noncompact Hessian manifolds with nonnegative Hessian sectional curvature and bounded geometry are diffeomorphic to \(\mathbb{R}^n\) if their tangent bundle has maximal volume growth.

In this note we give a characterization of Kaehler metrics which are both Calabi extremal and Kaehler-Ricci solitons in terms of complex Hessians and the Riemann curvature tensor. We apply it to prove that, under the assumption of positivity of the holomorphic sectional curvature, these metrics are Einstein.

2014-01-24abs ↗pdf ↗

The paper introduces a new differential-geometric system which originates from the theory of mm-Hessian operators. The core of this system is a new notion of invariant differentiation on multidimensional surfaces. This novelty gives rise to the following absolute geometric invariants: invariant derivatives of the surf…

2019-04-08abs ↗pdf ↗

Survey of global Calderón-Zygmund inequalities on Riemannian manifolds.

problem Validity and failure of W2,pW^{2,p} regularity for Poisson equation solutions.
method Various geometric conditions and methods to obtain LpL^p-Hessian estimates.
result Integral inequality may fail even with lower sectional curvature bound.

Following P. M. H. Wilson's paper on sectional curvatures of Kahler moduli, we consider a natural Riemannian metric on a hypersurface f=1 in a real vector space, defined using the Hessian of a homogeneous polynomial f. We give examples to answer a question by Wilson about when this metric has nonpositive curvature. Als…

2004-01-27abs ↗pdf ↗

The paper estimates gradients and proves Liouville theorems for p-harmonic maps.

problem Estimating gradients and proving Liouville theorems for p-harmonic maps.
method Obtained an LqL^q gradient estimate for pp-harmonic maps, derived from which a Liouville type result was obtained.
result Established a gradient estimate and Liouville theorem for pp-harmonic maps.

We extend to any simply connected Kähler manifold with non-positive sectional curvature some conditions for interpolation in C\mathbb{C} and in the unit disk given by Berndtsson, Ortega-Cerdà and Seip. The main tool is a comparison theorem for the Hessian in Kähler geometry due to Greene, Wu and Siu, Yau.

2001-03-07abs ↗pdf ↗

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 paper studies geometric properties of hydrodynamical density manifolds.

problem Understanding the geometry of hydrodynamical density manifolds.
method Formulating connections, gradients, Hessians, parallel transports, and curvatures on these manifolds.
result Closed-form formulas for sectional curvatures in one-dimensional density manifolds.

In this paper, we introduce a new energy density function Y\mathscr Y on the projective bundle P(TM)M\mathbb{P}(T_M)\>M for a smooth map f:(M,h)(N,g)f:(M,h)\>(N,g) between Riemannian manifolds Y=gijfαifβjWαWβhγδWγWδ.\mathscr Y=g_{ij}f^i_αf^j_β\frac{W^αW^β}{\sum h_{γδ} W^γW^δ}. We get new Hessian estimates to this energy density and obtain various new…

2018-10-08abs ↗pdf ↗

The paper explores geometric calculations on probability manifolds derived from master equations.

problem Understanding geometric properties of probability manifolds from master equations.
method Deriving geometric quantities like Levi-Civita connection, gradient, Hessian, parallel transport, and curvatures on probability manifolds.
result Calculation of geometric quantities in probability manifolds, including curvatures and connections.

We prove that, in dimensions greater than 2, the generic metric is not a Hessian metric and find a curvature condition on Hessian metrics in dimensions greater than 3. In particular we prove that the forms used to define the Pontryagin classes in terms of the curvature vanish on a Hessian manifold. By contrast all anal…

2013-12-04abs ↗pdf ↗

Paper discusses solving generalized Hessian inequalities with various operators.

problem Finding global solutions to generalized Hessian inequalities.
method Analyzes various Hessian operators and provides conditions for global solvability.
result Provides necessary and sufficient conditions for global solvability of generalized Hessian inequalities.

Study reveals flatness of Hessian metrics with non-negative Ricci curvature on foliation leaves.

problem Rigidity of Ricci curvature on Hessian manifold leaves.
method Analysis of Ricci curvature properties of Hessian metrics on foliation leaves.
result Non-negative Ricci curvature on a single leaf forces the Hessian metric to be flat and yields bounds on the first Betti number.

The paper proves Hessian estimates for specific geometric flows.

problem Proving interior Hessian estimates for specific geometric flows.
method Proved interior Hessian estimates for shrinkers, expanders, translators, and rotators of the Lagrangian mean curvature flow.
result Extended results to a broader class of Lagrangian mean curvature type 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.

The study proves the existence of kk-convex hypersurfaces for specific curvature equations.

problem Proving the existence of kk-convex hypersurfaces for Hessian curvature equations.
method Combining a priori estimates with the continuity method, and establishing a constant rank theorem.
result Existence and uniqueness of kk-convex hypersurfaces for both nonhomogeneous and homogeneous Hessian curvature equations.

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 expression (-1/u) times the Hessian of u transforms as a symmetric (0,2) tensor under projective coordinate transformations, so long as u transforms as a section of a certain line bundle. On a locally projectively flat manifold M, the section u can be regarded as a metric potential analogous to the local potential …

2001-08-30abs ↗pdf ↗

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 ↗

New superintegrable systems derived from Frobenius structures.

problem Constructing second-order superintegrable systems.
method Using conification and direct product construction, applying to semi-simple and nilpotent algebras.
result Explicitly constructed second-order superintegrable systems in three dimensions.

Einstein 4-manifolds with negative self-dual curvature are locally rigid.

problem Conditions for local rigidity of Einstein 4-manifolds.
method New variational description of Einstein 4-manifolds and analysis of the Hessian of the poure connection action.
result Local rigidity of Einstein 4-manifolds with negative self-dual curvature.

New method shows Hessian estimator from random samples converges to true Hessian on complex manifolds.

problem Uncertainty in Hessian estimator accuracy on complex manifolds with boundaries and nonuniform sampling.
method Locally fitting quadratic polynomials, rigorous theoretical analysis under mild conditions.
result The Hessian estimator asymptotically converges to the true Hessian, even near boundaries.

The paper finds convex hypersurfaces with specific curvature properties.

problem Finding convex hypersurfaces with prescribed Hessian curvatures and Gauss images.
method Used novel C2C^2 boundary estimates based on orthogonal invariance and infinitesimal rotations.
result Proved existence of strictly convex graphic hypersurfaces with prescribed kk-Hessian curvatures.

Develops new strategy for Hessian estimates in Lagrangian mean curvature equation.

problem Interior Hessian estimates for solutions with prescribed Lipschitz phases.
method Allard-type regularity theorem, geometric measure theory, geometry of Lagrangian graphs, De Giorgi-Nash-Moser iteration.
result Sharp interior Hessian estimates for solutions with critical and supercritical phases.

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.

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.

Better Hessian approximations improve influence function attributions in deep learning.

problem Influence functions are difficult to compute due to ill-conditioned Hessians, leading to poor data attribution performance.
method Investigated the impact of Hessian approximation quality on influence-function attributions in a controlled setting.
result Better Hessian approximations consistently yield better influence score quality.

We analyze the Hessian spectra of large models up to 100B parameters.

problem Accurate Hessian spectra of large foundation models are difficult to obtain.
method We use shard-local finite-difference Hessian vector products and stochastic Lanczos quadrature.
result We produce the first large-scale spectral density estimates of foundation models.

In this work we develop Curvature Propagation (CP), a general technique for efficiently computing unbiased approximations of the Hessian of any function that is computed using a computational graph. At the cost of roughly two gradient evaluations, CP can give a rank-1 approximation of the whole Hessian, and can be repe…

2012-06-27abs ↗pdf ↗