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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.

168,786 papers · 148 categories

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Study second-Chern-Einstein metrics on 4D manifolds, finding Killing vector fields and examples.

problem Investigate second-Chern-Einstein metrics on 4D almost-Hermitian manifolds.
method Analyze compact and unimodular almost-abelian Lie algebras, use Killing vector fields and parallel non-zero Lee forms.
result Describe 4D compact second-Chern-Einstein locally conformally symplectic manifolds and classify unimodular almost-abelian Lie algebras with second-Chern-Einstein metrics.

Second-order economic theory considers new variables to improve price volatility predictions.

problem Current economic models focus on first-order variables, missing second-order variables that affect price volatility.
method Introduces second-order economic theory with new variables composed of sums of squares of agents' transactions.
result Second-order economic theory complements first-order variables and introduces new macroeconomic variables.

Hermitian metrics with zero second Chern Ricci curvature are rigid and exist on specific manifolds.

problem Characterizing Hermitian metrics with vanishing second Chern Ricci curvature.
method Analyzing the rigidity of the second Chern Ricci curvature on compact complex manifolds.
result Characterization of second Chern Ricci-flat Hermitian metrics and non-existence results.

Second-order optimizers retain residual information after data deletion, affecting machine unlearning.

problem Residual information in second-order optimizers after data deletion.
method Comparison of first-order and second-order learners, eigendecomposition analysis.
result Second-order optimizers retain residual information, not detectable by first-order analysis.

The expression for the variation of the area functional of the second fundamental form of a hypersurface in a Euclidean space involves the so-called "mean curvature of the second fundamental form". Several new characteristic properties of (hyper)spheres, in which the mean curvature of the second fundamental form occurs…

2007-09-11abs ↗pdf ↗

Exact second-order optimization for deep learning reduces computational cost and improves performance.

problem Inadequate use of second-order optimization methods in deep learning due to high computational cost and non-convexity.
method Developed an exact stochastic second-order Newton method that addresses the non-convexity issue and provides an expression for the stochastic Hessian.
result Exact second-order Newton direction formula and its application in deep learning datasets.

The study explores metrics with constant curvature on compact manifolds.

problem Finding Hermitian metrics with constant second scalar curvature on compact manifolds.
method Analyzes Yamabe-type and elliptic equations, derives geometric consequences, and proves existence under specific curvature conditions.
result Under certain curvature conditions, a pluriclosed Gauduchon Hermitian metric has constant second Chern scalar curvature, leading to the existence of Kähler-Einstein metrics.

SOLBP extends efficient inference to uncertain Bayesian networks.

problem Inference in uncertain Bayesian networks with second-order probabilities.
method Extends Loopy Belief Propagation to second-order Bayesian networks.
result Generates inferences consistent with sum-product networks, more efficient and scalable.

Developed a theory of local convexity for second order differential equations on Lie algebroids.

problem Analyzing convexity in differential equations on Lie algebroids.
method Theory development for local convexity of SODEs on Lie algebroids.
result Extensive discussion of homogeneous quadratic SODEs on Lie algebroids.

The study shows that the second fundamental form is intrinsic under certain conditions in space forms.

problem Understanding the intrinsic nature of the second fundamental form in space forms.
method Proving the intrinsic nature of the normalized second fundamental form AA under specific conditions.
result The normalized second fundamental form AA is intrinsic if σ2k+1(A)eq0σ_{2k+1}(A) eq 0 for some k1k\ge 1.

Paper examines risk measure expansions under FGM dependence, improving accuracy at extreme levels.

problem Capturing higher-order tail behavior and dependence effects in risk measures.
method Second-order asymptotic expansions using extreme value theory and regular variation theory.
result Second-order approximations reduce approximation errors, especially at extreme confidence levels.

Negative step sizes improve second-order methods for neural networks.

problem Second-order methods discard negative curvature, limiting their effectiveness.
method Introduce negative step sizes in second-order methods combined with Wolfe line search.
result Negative step sizes lead to global convergence and improved performance.

The notion of a Douglas space of second kind of a Finsler space with (α,β)(α, β)-metric was introduced by I. Y. Lee [9]. Since then, so many geometers have studied this topic e. g., [14]. In this paper, we prove that a Douglas space of second kind with special % (α, β)-metric α+εβ+kβ2αα+εβ+ k \frac{β^2}{α} is conformally trans…

2018-06-20abs ↗pdf ↗

Paper studies second order tail probabilities in risk models.

problem Analyzing tail probabilities in risk models with constant interest force.
method Asymptotic expansion and weighted Kesten-type inequality for second order subexponential random variables.
result Second order asymptotic formulae for continuous-time renewal risk models are derived.

Paper studies second order symmetric parallel tensors in generalized f.pk-space forms.

problem Exploring properties of second order symmetric parallel tensors in generalized f.pk-space forms.
method Analyzes the properties of second order symmetric parallel tensors and deduces the existence or non-existence of certain tensors and hypersurfaces.
result There does not exist second order skew-symmetric parallel tensor in f.pk-space form. There is no parallel hypersurface in a generalized f.pk-space form but there is semi-parallel hypersurface.

Study finds all conformal minimal immersions of 2-spheres in a complex Grassmann manifold with parallel second fundamental form.

problem Classifying conformal minimal immersions with parallel second fundamental form.
method Analyzing immersions in complex Grassmann manifold G(2,N;C)G(2,N; \mathbb{C}).
result Determined all conformal minimal immersions of 2-spheres with parallel second fundamental form.

The paper proves inequalities for orbifold second Chern classes in Fujiki's class.

problem Inequalities for orbifold second Chern classes of compact normal analytic varieties.
method Generic nefness theorems for tangent and cotangent sheaves, and an orbifold Bogomolov--Gieseker inequality for mixed polarizations.
result Semipositivity of the orbifold second Chern class for varieties with nef anti-canonical divisor.

Paper generalizes connections between Lie groups and affine connections.

problem Exploring properties of infinitesimal groups and affine connections.
method Introducing second-order infinitesimal groups and using them to define Lie brackets and connections.
result Generalized correspondence between symmetric and non-symmetric affine connections.

Paper classifies special Euclidean hypersurfaces with specific geometric properties.

problem Classifying Euclidean hypersurfaces with semi-parallel Moebius second fundamental form.
method Complete classification of hypersurfaces with three distinct principal curvatures.
result Classification of Euclidean umbilic-free hypersurfaces with semi-parallel Moebius second fundamental form.

The paper resolves a conjecture about curvature conditions on manifolds.

problem Investigating curvature conditions on manifolds to settle a conjecture.
method Analyzing curvature of the second kind and using Brendle's PIC1 condition.
result Manifolds with positive curvature of the second kind are diffeomorphic to a sphere.

The study finds surfaces with specific curvature properties are essentially known manifolds.

problem Investigating curvature properties on Kähler manifolds.
method Analyzing the curvature operator of the second kind on closed Kähler surfaces.
result Closed Kähler surfaces with six-positive curvature operator of the second kind are biholomorphic to CP2\mathbb{CP}^2.

We derive the first and second variation formula for the Green's function pole's value of Paneitz operator on the standard three sphere. In particular it is shown that the first variation vanishes and the second variation is nonpositively definite. Moreover, the second variation vanishes only at the direction of confor…

2015-04-08abs ↗pdf ↗

We define a map from second quandle homology to the Schur multiplier and examine its properties. Furthermore, we express the second homology of Alexander quandles in terms of exterior algebras. Additionally, we present a self-contained proof of its structure and provide some computational examples.

2018-12-11abs ↗pdf ↗

In this work, we first establish short time existence and Shi's type estimate of second Ricci flow on complete noncompact Hermitian manifolds. As an application, we use the second Ricci flow to discuss the existence of Kaehler-Einstein metric on complete noncompact Hermitian manifolds.

2018-12-11abs ↗pdf ↗

The study examines curvature operators on Kähler manifolds and their implications.

problem Investigating curvature operators on Kähler manifolds and their properties.
method Pointwise and algebraic approach.
result Closed Kähler manifolds with specific curvature operators are biholomorphic to CPm\mathbb{CP}^m.

Non-degeneracy of critical points proven for manifold's squared norm of second fundamental form.

problem Proving non-degeneracy of critical points for a manifold's squared norm of second fundamental form.
method Generic Riemannian metric and conformal class restriction.
result Squared norm of the second fundamental form is a Morse function with non-degenerate critical points.

Sharp curvature condition implies spherical space form structure.

problem Characterizing manifolds with specific curvature properties.
method Proving diffeomorphism and homeomorphism to spherical space forms using curvature conditions.
result Closed manifolds with $4 rac{1}{2}$-positive curvature operator of the second kind are spherical space forms.

Paper proves vanishing terms in a second Poisson bracket for a specific system.

problem Proving polynomiality of coefficients in the dispersion parameter expansion of the second Poisson bracket.
method Bi-Hamiltonian recursion and Liu-Pandharipande relations.
result Proves vanishing terms in the second Poisson bracket expansion.

AdamQLR optimizes Adam with K-FAC heuristics, achieving comparable performance to tuned benchmarks.

problem Improving the performance of Adam optimizers with stabilizing heuristics.
method Combining Adam's update directions with K-FAC's heuristics (damping and learning rate selection).
result Untuned AdamQLR can achieve comparable performance to tuned benchmarks.

The quantification of diversification benefits due to risk aggregation plays a prominent role in the (regulatory) capital management of large firms within the financial industry. However, the complexity of today's risk landscape makes a quantifiable reduction of risk concentration a challenging task. In the present pap…

2009-10-13abs ↗pdf ↗

We show that, for mechanical system with external forces, the equations of deviations of solution curves of the corresponding Lagrange equations,determine a nonlinear connection on the second order osculator (second order tangent) bundle. In particular, Jacobi equations in Finsler and Riemann spaces determine such a no…

2007-06-29abs ↗pdf ↗

A first-order model for a stock market assigns to each stock a return parameter and a variance parameter that depend only on the rank of the stock. A second-order model assigns these parameters based on both the rank and the name of the stock. First- and second-order models exhibit stability properties that make them a…

2013-02-15abs ↗pdf ↗

Second-order guarantees for federated learning algorithms.

problem Non-convex optimization in federated learning with saddle-points as bottlenecks.
method Drawing on recent results on second-order optimality in centralized and decentralized settings, establish second-order guarantees for federated learning algorithms.
result Established second-order guarantees for federated learning algorithms.

New findings show second-order scoring rules can't accurately represent epistemic uncertainty.

problem Lack of epistemic uncertainty representation in second-order learners.
method Generalised second-order scoring rules introduced to prove theoretical limitations.
result No loss function incentivizes second-order learners to accurately represent epistemic uncertainty.