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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.

168,742 papers · 148 categories

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1122 · Jan 202419922001200920172026
15 results for curvature-flatness

Proves a special type of submanifolds in a curved space.

problem Characterizing submanifolds with specific properties in a curved space.
method Uses the properties of flat normal bundle and parallel mean curvature to prove the submanifolds are warped products.
result Einstein submanifolds with flat normal bundle and parallel mean curvature are warped product of isometric immersions.

Flat open manifolds with full first Betti number have zero curvature.

problem Maximal first Betti number rigidity for open manifolds with nonnegative Ricci curvature.
method Proving rigidity for open manifolds with specific curvature conditions and Betti numbers.
result Open manifolds with maximal first Betti number are flat.

The paper defines and analyzes curvature tensors on super twisted product spaces.

problem Investigating curvature tensors on super twisted product spaces.
method Defined W2W_2-curvature tensor, computed curvature tensors and Ricci tensors, and studied curvature flatness.
result Mixed Ricci-flat super twisted product semi-Riemannian manifolds can be expressed as super warped product manifolds.

The paper examines properties of WW-curvature tensor in relativistic space-times.

problem Investigating the properties and implications of the WW-curvature tensor in relativistic space-times.
method Analyzing the semi-symmetry and divergence properties of the energy-momentum tensor in relation to the WW-curvature tensor.
result Space-times with specific properties of the WW-curvature tensor are classified as Einstein or Codazzi type.

The paper studies critical metrics on a specific type of manifold.

problem Investigating critical metrics on almost Kenmotsu manifolds.
method Introducing and studying the \ast-Miao-Tam critical equation on (2n+1)(2n + 1)-dimensional (k,μ)(k,μ)'-almost Kenmotsu manifolds.
result If a (2n+1)(2n + 1)-dimensional (k,μ)(k,μ)'-almost Kenmotsu manifold satisfies the \ast-Miao-Tam critical equation, it is \ast-Ricci flat and locally isometric to a specific product of manifolds.

Geometric formalism views optimization algorithms as discrete connections, revealing their algebraic curvature and flatness properties.

problem Understanding and optimizing the behavior of iterative optimization algorithms.
method Introducing a geometric and operator-theoretic formalism where optimization algorithms are encoded by coupled channels (drift and diffusion) whose algebraic curvature measures the deviation from ideal reversibility.
result Flat connections correspond to methods whose updates commute up to higher order, achieving minimal numerical dissipation and preserving stability.

Formula derived for spectral determinant of sphere with conical singularities.

problem Calculating the spectral determinant of a sphere with conical singularities.
method Explicit closed formula derived using zeta regularization and Liouville action.
result Metrics with equal conical angles are a stationary point of the determinant, and a minimum if surface area is small.

The study characterizes loxodromes on specific rotational surfaces in 3D space.

problem Characterizing loxodromes on rotational surfaces with special geometric properties.
method Parametrizations and curvature/torsion calculations for loxodromes on various rotational surfaces.
result The loxodrome on a flat rotational surface is a general helix.

New isoparametric hypersurfaces found in Damek-Ricci spaces.

problem Characterizing new isoparametric hypersurfaces in Damek-Ricci spaces.
method Defining and studying 'sphere-like' hypersurfaces formed by extending horospheres.
result Found a new family of isoparametric hypersurfaces connecting geodesic spheres to previously known ones.

New bounds explain deterministic non-smooth deep nets without large Lipschitz constants.

problem Challenges in explaining generalization of deterministic non-smooth deep nets.
method De-randomized PAC-Bayes margin bounds for deterministic non-convex and non-smooth predictors.
result New bounds avoid large Lipschitz constants, providing generalization guarantees.