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0111 · Feb 202019922001200920172026
8 results for hypertori

Authors construct hypertori with constant negative mean curvature in a sphere.

problem Constructing constant mean curvature hypertori in a sphere.
method Constructing two different constant mean curvature (2n1)(2n-1)-dimensional hypertori in a 2n2n-dimensional sphere.
result Two different constant mean curvature (2n1)(2n-1)-dimensional hypertori with negative mean curvature in a 2n2n-dimensional sphere.

The paper proves stability of minimal embeddings in spheres and relates it to Yau's conjecture.

problem Stability of minimal embeddings in spheres and Yau's conjecture.
method Analyzes stability index and solves differential equation to relate to Yau's conjecture.
result Stability index of minimal hypersurfaces is at least n^2+4n+3 and Yau's conjecture holds under specific conditions.

Study controls bifurcations in Eulerian flows with multiple Hopf singularities.

problem Bifurcation analysis and control of nonlinear Eulerian flows with non-resonant n-tuple Hopf singularities.
method Analysis of CW complex bifurcations of flow-invariant Clifford hypertori, using leaf-bifurcation varieties.
result Tertiary toral CW complex bifurcates from and persists outside a secondary toral CW complex.

Minimal hypersurfaces in spheres generated by isoparametric foliations are found.

problem Existence of minimal hypersurfaces in spheres generated by isoparametric foliations.
method Generalized rotational ansatz formed by the union of homothetic copies of isoparametric leaves, reducing the minimal surface equation to an ordinary differential equation.
result Closed embedded minimal hypersurfaces of topological type S1imesMS^1 imes M are found for any isoparametric hypersurface MSnM \subset \mathbb{S}^n.

The paper refines the stability index for a specific minimal hypersurface and verifies Yau's conjecture.

problem Stability of minimal hypersurfaces in spheres and eigenvalue multiplicity.
method Analytical and numerical methods to study eigenvalues and stability indices.
result The multiplicity of the eigenvalue for the Carlotto-Schulz minimal embedding is at least 2n+1+n^2.

The paper introduces novel Gaussian process models for vector-valued signals on manifolds.

problem Modeling vector-valued signals on non-Euclidean domains, especially for applications like wind speeds.
method Intrinsically defined Gaussian vector fields on manifolds, accounting for manifold geometry.
result Gaussian vector fields provide more refined inductive biases than extrinsic fields.