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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.

168,695 papers · 148 categories

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92184276368 · May 202619922001200920172026
48 results for geometric assumption

For binary classification we establish learning rates up to the order of n1n^{-1} for support vector machines (SVMs) with hinge loss and Gaussian RBF kernels. These rates are in terms of two assumptions on the considered distributions: Tsybakov's noise assumption to establish a small estimation error, and a new geometr…

2007-08-14abs ↗pdf ↗

Study proves rigidity of specific self-shrinkers under certain geometric conditions.

problem Proving rigidity of self-shrinkers under geometric constraints.
method Analyzing complete self-shrinkers with specific tangent planes.
result Sphere, plane, and cylinder are the only self-shrinkers under the given geometric assumption.

We obtain a Bonnet-Myers theorem under a spectral condition: a closed Riemannian manifold (Mn,g)(M^n,g) for which the lowest eigenvalue of the Ricci tensor ρρ is such that the Schrödinger operator (n2)Δ+ρ(n-2)Δ+ ρ is positive has finite fundamental group. As a continuation of our earlier results, we obtain isoperimetric inequa…

2018-08-21abs ↗pdf ↗

We generalize Bonahon's characterization of geometrically infinite torsion-free discrete subgroups of PSL(2, C\mathbb{C}) to geometrically infinite discrete isometry subgroups in the case of rank 1 symmetric spaces, and, under the assumption of bounded torsion, to the case of negatively pinched Hadamard manifolds. Eve…

2018-04-26abs ↗pdf ↗

Establishes geometric convergence of iterative optimization algorithms.

problem Analyzes convergence of iterative optimization algorithms under general assumptions.
method General framework for iterative optimization algorithms, proving asymptotic geometric convergence and providing convergence rates.
result Asymptotic geometric convergence of iterative optimization algorithms with exact rate.

New criterion for Weyl law on Riemannian manifolds without standard assumptions.

problem Establishing Weyl law for Schrödinger operators on complete Riemannian manifolds.
method Identifying a geometric-analytic invariant cδ(λ)c_δ(λ) that balances manifold geometry, potential growth, and oscillation scale.
result Weyl asymptotic holds if cδ(λ)c_δ(λ) approaches 0 as λ goes to infinity.

Study geometric properties of generalized vacuum static spaces.

problem Estimating geometric properties of generalized φ\varphi-vacuum static spaces.
method Proving estimates for φ\varphi-scalar curvature and first eigenvalue of the Jacobi operator, and rigidity under various geometric assumptions.
result Proved a result related to the Cosmic no-hair conjecture.

The paper addresses geometric analysis on non-compact Riemannian manifolds, proving Calderón-Zygmund inequalities.

problem Proving Calderón-Zygmund inequalities on non-compact Riemannian manifolds without positive injectivity radius.
method Probabilistic tools, Hessian formulas, and Bismut type representations for heat semigroups.
result The paper proves the Calderón-Zygmund inequality for 1<p<21<p<2 under a lower Ricci curvature bound, and for p>2p>2 under additional curvature conditions.

We give a differential geometric construction of a connection in the bundle of quantum Hilbert spaces arising from half-form corrected geometric quantization of a prequantizable, symplectic manifold, endowed with a rigid, family of Kähler structures, all of which give vanishing first Dolbeault cohomology groups. In [An…

2007-11-26abs ↗pdf ↗

Study geometric structure of Ricci shrinker ends without global curvature assumptions.

problem Understand the geometric structure of Ricci shrinker ends without global curvature constraints.
method Analyze blow-up sequences of Ricci shrinkers at points with Type I scalar curvature bound, extending F-convergence theory.
result Limits of Ricci shrinkers at points with Type I scalar curvature bound split a line in four dimensions.

An integrated approach to Lie derivatives of spinors, spinor connections and the gravitational field is presented, in the context of a previously proposed, partly original formulation of a theory of Einstein-Carta-Maxwell-Dirac fields based on "minimal geometric data": all the needed underlying structure is geometrical…

2016-02-29abs ↗pdf ↗

Develops geometric framework for analyzing big bang singularities without symmetry assumptions.

problem Analyzing big bang singularities without symmetry constraints.
method Geometric framework combined with Einstein's equations.
result Partial improvements of assumptions on expansion normalised Weingarten map and convergence of K\mathcal{K}.

We survey some LpL^{p}-vanishing results for solutions of Bochner or Simons type equations with refined Kato inequalities, under spectral assumptions on the relevant Schrödinger operators. New aspects are included in the picture. In particular, an abstract version of a structure theorem for stable minimal hypersurfaces…

2010-11-24abs ↗pdf ↗

The paper extends geometric inequalities from Euclidean space to Riemannian manifolds.

problem Proving geometric inequalities on smooth oriented Riemannian manifolds.
method Introducing symmetric decreasing rearrangement inequalities and testing their applicability to Riemannian manifolds.
result Smooth co-area formula and re-formulated geometric inequalities on Riemannian manifolds.

Optimizes exp-concave losses with a new risk bound.

problem Optimizing exp-concave losses with stochastic convex optimization.
method Empirical Risk Minimization with a unified geometric assumption and local norms.
result Provides an O(d/n+log(1/δ)/n)O( d / n + \log( 1 / δ) / n ) excess risk bound.

A canonical connection is attached to any k-symplectic manifold. We study the properties of this connection and its geometric applications to k-symplectic manifolds. In particular we prove that, under some natural assumption, any ksymplectic manifold admits an Ehresmann connection, discussing some corollaries of this r…

2007-10-08abs ↗pdf ↗

Let X be a complex projective variety and D a reduced divisor on X. Under a natural minimal condition on the singularities of the pair (X, D), which includes the case of smooth X with simple normal crossing D, we ask for geometric criteria guaranteeing various positivity conditions for the log-canonical divisor K_X+D. …

2012-07-31abs ↗pdf ↗

The formulation of Geometric Quantization contains several axioms and assumptions. We show that for real polarizations we can generalize the standard geometric quantization procedure by introducing an arbitrary connection on the polarization bundle. The existence of reducible quantum structures leads to considering the…

2016-07-29abs ↗pdf ↗

The paper explains how ReLU nets converge globally in high dimensions without strict assumptions.

problem Understanding global convergence of ReLU nets in very high dimensions.
method Fine-grained analysis of random activation matrices and detailed gradient norm and curvature analysis.
result Empirical loss function has favorable geometrical properties in the overparameterized setting.

Refines geometric center of mass analysis for Einstein field equations.

problem Analyzing the geometric center of mass of Willmore surfaces in initial data for Einstein field equations.
method Refined Lyapunov-Schmidt analysis to study geometric center of mass of area-constrained Willmore surfaces.
result The geometric center of mass agrees with the Hamiltonian center of mass under specific conditions.

We prove that Riemannian foliations on complete contractible manifolds have a closed leaf, and that all leaves are closed if one closed leaf has a finitely generated fundamental group. Under additional topological or geometric assumptions we prove that the foliation is also simple.

2013-09-08abs ↗pdf ↗

We prove that every non-degenerate Reeb flow on a closed contact manifold MM admitting a strong symplectic filling WW with vanishing first Chern class carries at least two geometrically distinct closed orbits provided that the positive equivariant symplectic homology of WW satisfies a mild condition. Under further a…

2019-03-15abs ↗pdf ↗

We develop a coreset for robust geometric median, reducing size dependency on outliers.

problem Robust geometric median problem in Euclidean space with outliers.
method Construction of a compact coreset with size dependency on mm eliminated.
result Elimination of O(m)O(m) dependency in coreset size, achieving O(ε2min{ε2,d})O(\varepsilon^{-2} \cdot \min\{\varepsilon^{-2}, d\}) size.

Geometrically characterizes virtual nonlinear nonholonomic constraints using symplectic methods.

problem Characterizing virtual nonlinear nonholonomic constraints geometrically.
method Geometric characterization using symplectic structures and Chetaev equations.
result A unique control law exists to satisfy virtual constraints, and closed-loop dynamics are projections of uncontrolled dynamics.

Study fully nonlinear equations on Hermitian manifolds to find metrics with specific curvature.

problem Finding conformal Hermitian metrics with prescribed curvature functions.
method Blow-up argument and partial uniform ellipticity.
result Our assumptions are almost sharp, with some geometric function theory obstructions.

The paper finds at least N orthogonal Finsler geodesic chords in a disk-like manifold.

problem Existence and multiplicity of orthogonal Finsler geodesic chords in a disk-like manifold.
method Study of Finsler geodesic chords under reversibility assumption.
result At least N orthogonal Finsler geodesic chords found in a disk-like manifold.

We study the geometry of a codimension-one foliation with a time-dependent Riemannian metric. The work begins with formulae concerning deformations of geometric quantities as the Riemannian metric varies along the leaves of the foliation. Then the Extrinsic Geometric Flow depending on the second fundamental form of the…

2011-08-25abs ↗pdf ↗

Study adversarial classification with data corruption up to ε, deriving geometric flows.

problem Optimizing classifiers against adversarial data corruption.
method Variational analysis, geometric flows, mean curvature equations.
result Rigorous proof of initial value problem for small ε, global minimizer of adversarial problem.

Study applies Huisken formula to mean curvature flow in Ricci soliton background.

problem Analyzing mean curvature flow in Ricci soliton backgrounds.
method Applies Huisken's monotonicity formula to a shrinking self-similar solution of the extended Ricci flow.
result Establishes new results and solves noncompact case under natural geometric assumptions.

Introduces q-paths for generalizing geometric annealing paths in machine learning.

problem Limited applicability of existing path methods in machine learning.
method Develops a family of paths derived from a generalized mean, including geometric and arithmetic mixtures.
result Empirical gains in Bayesian inference and generative model evaluation.

Recently the authors have explored new concepts of plurisubharmonicity and pseudoconvexity, with much of the attendant analysis, in the context of calibrated manifolds. Here a much broader extension is made. This development covers a wide variety of geometric situations, including, for example, Lagrangian plurisubhamon…

2008-04-08abs ↗pdf ↗

Constructs flows on manifolds with small curvature, proving Euclidean topology.

problem Geometric structure of manifolds with unbounded curvature.
method Distance like functions with integral hessian bound, Ricci flows.
result Manifolds with Ricci lower bound, non-negative scalar curvature, bounded entropy, Ahlfors nn-regular and small curvature concentration are topologically Euclidean.

Information Geometric Causal Inference (IGCI) is a new approach to distinguish between cause and effect for two variables. It is based on an independence assumption between input distribution and causal mechanism that can be phrased in terms of orthogonality in information space. We describe two intuitive reinterpretat…

2014-02-11abs ↗pdf ↗

We derive and analyze a generic, recursive algorithm for estimating all splits in a finite cluster tree as well as the corresponding clusters. We further investigate statistical properties of this generic clustering algorithm when it receives level set estimates from a kernel density estimator. In particular, we derive…

2017-08-17abs ↗pdf ↗