Rotationally invariant Ricci flows are constructed and shown to converge to spacetimes.
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We investigate the properties of the Cheeger sets of rotationally invariant, bounded domains . For a rotationally invariant Cheeger set , the free boundary consists of pieces of Delaunay surfaces, which are rotationally invariant surfaces of constant mean curvature. We show…
New AMP algorithms for rotationally invariant models with reduced complexity.
We give a full classification of complete rotationally invariant surfaces with constant Gauss curvature in Berger spheres: they are either Clifford tori, which are flat, or spheres of Gauss curvature for a positive constant , which we determine explicitly and depends on the geometry of the ambient Ber…
New AMP algorithms improve multi-layer signal reconstruction.
New algorithm for signal estimation in noisy matrix models.
New algorithms improve rank one signal estimation from noisy data.
Study stabilizes translating solitons in hyperbolic space for MCF.
Study solves overdetermined problems for rotationally invariant Poisson equations in model manifolds.
The paper finds new constant -mean curvature surfaces in the Heisenberg group.
In the present paper, we find a system of non-linear ODEs that gives rotationally invariant solutions to the Kapustin-Witten equations in 4-dimensional Euclidean space. We explicitly solve these ODEs in some special cases and find decaying rational solutions, which provide solutions to the Kapustin-Witten equations. Th…
Study classifies and characterizes translators in hyperbolic static universe.
Combines PCA and AMP for better signal estimation in noisy data.
In this paper we study sets in the -dimensional Heisenberg group $\hhn$ which are critical points, under a volume constraint, of the sub-Riemannian perimeter associated to the distribution of horizontal vector fields in $\hhn$. We define a notion of mean curvature for hypersurfaces and we show that the boundary of a…
In this paper we study solitons invariant with respect to the flow generated by a complete Killing vector field in a ambient Riemannian manifold. A special case occurs when the ambient manifold is the Riemannian product and the Killing field is . Similarly to what h…
In this paper we study the gradient Ricci shrinking soliton equation on rotationally symmetric manifolds of dimension three and higher and prove that the only complete examples of such metrics on , and are, respectively, the round, flat, and standard cylindrical metrics.
Study elliptic Weingarten surfaces in warped product space with specific curvature conditions.
In the first part of this article we obtain an identity relating the radial spectrum of rotationally invariant geodesic balls and an isoperimetric quotient . We also obtain upper and lower estimates for the series where is an extrinsic ball of a proper m…
We study immersed, connected, umbilic hypersurfaces in the Heisenberg group with We show that such a hypersurface, if closed, must be rotationally invariant up to a Heisenberg translation. Moreover, we prove that, among others, Pansu spheres are the only such spheres with positive constant sigm…
We study stable constant mean curvature (CMC) hypersurfaces in slabs in a product space where is an orientable Riemannian manifold. We obtain a characterization of stable cylinders and prove that if is not a cylinder then it is locally a vertical graph. Moreover, in case is $\h^n,\r^n$ or $…
Formula for heat coefficients of curved conic singularities derived from Riemannian metrics.
New method for cross-validation in high-dimensional data with dependent or heavy-tailed covariates.
Optimizes VAE hyperparameters for efficient training and manifold discovery.
Our aim is to study invariant hypersurfaces immersed in the Euclidean space , whose mean curvature is given as a linear function in the unit sphere depending on its Gauss map. These hypersurfaces are closely related with the theory of manifolds with density, since their weighted mean cu…
In this paper, we determine the maximally stable, rotationally invariant domains on the catenoids $\cC_a$ (minimal surfaces invariant by rotations) in the Heisenberg group with a left-invariant metric. We show that these catenoids have Morse index at least 3 and we bound the index from above in terms of the parameter $…
New optimal surfaces found in Heisenberg group defy Euclidean sphere optimality.
In this work we investigate the following isoperimetric problem: to find the regions of prescribed volume with minimal boundary area between two parallel horospheres in hyperbolic 3-space (the area of the part of the boundary contained in the horospheres is not included). We reduce the problem to the study of rotationa…
We consider surfaces in Euclidean space parametrized on an annular domain such that the first fundamental form and the principal curvatures are rotationally invariant, and the principal curvature directions only depend on the angle of rotation (but not the radius). Such surfaces generalize the Enneper surface. We show …
New steady solitons found with SO(3) symmetry.
We classify constant mean curvature surfaces invariant by a 1-parameter group of isometries in the Berger spheres and in the special linear group Sl(2, R). In particular, all constant mean curvature spheres in those spaces are described explicitly, proving that they are not always embedded. Besides new examples of Dela…
New bounds prevent degradation in high-dimensional signal estimation.
Let be a star-shaped bounded domain in with smooth boundary. In this article, we give a sharp lower bound for the first non-zero eigenvalue of the Steklov eigenvalue problem in This result is the generalization of a result given by Kuttler and Sigillito for a star-shaped bounded doma…
New Bäcklund transformations for discrete pseudospherical surfaces of revolution are found.
It is proved that the holomorphic quadratic differential associated to CMC surfaces in Riemannian products $\mathbb{S}^2\times\Rr$ and $\mathbb{H}^2\times \Rr$ discovered by U. Abresch and H. Rosenberg could be obtained as a linear combination of usual Hopf differentials. Using this fact, we are able to extend it for L…
Noise-cleaning fMRI brain activity matrices for better precision estimation.
Let denote a solution to a rotationally invariant Hessian equation on a bounded simply connected domain , with constant Dirichlet and Neumann data on . In this paper we prove that if is real analytic and not identically zero, then is radial and is a disk. The fully …
We construct a one-parameter family of properly embedded minimal annuli in the Heisenberg group Nil_3 endowed with a left-invariant Riemannian metric. These annuli are not rotationally invariant. This family gives a vertical half-space theorem and proves that each complete minimal graph in Nil_3 is entire. Also, the si…
We study solutions to the inverse mean curvature flow which evolve by homotheties of a given submanifold with arbitrary dimension and codimension. We first show that the closed ones are necessarily spherical minimal immersions and so we reveal the strong rigidity of the Clifford torus in this setting. Mainly we focus o…
Recently, Awasthi et al. introduced an SDP relaxation of the -means problem in . In this work, we consider a random model for the data points in which balls of unit radius are deterministically distributed throughout , and then in each ball, points are drawn according to a common ro…
Proves uniqueness of black holes in Lovelock gravity, a generalization of Einstein's theory.
Spectral clustering performance depends on eigenvector fluctuations, shown to be Gaussian.
In this article, we consider compact surfaces having constant mean curvature (-surfaces) whose boundary is transversal to the slice of the warped product , here denotes a Hadamard surface…
New minimal surfaces in spheres with complex topologies from capillarity.
The study examines optimal synthesis in a radially symmetric Grushin space with conditions on the weight function.
We propose Cormorant, a rotationally covariant neural network architecture for learning the behavior and properties of complex many-body physical systems. We apply these networks to molecular systems with two goals: learning atomic potential energy surfaces for use in Molecular Dynamics simulations, and learning ground…
Rotationally equivariant convolutions improve molecular property prediction.
An interesting approach to analyzing neural networks that has received renewed attention is to examine the equivalent kernel of the neural network. This is based on the fact that a fully connected feedforward network with one hidden layer, a certain weight distribution, an activation function, and an infinite number of…
We give an infinite dimensional generalized Weierstrass representation for spacelike constant mean curvature (CMC) surfaces in Minkowski 3-space . The formulation is analogous to that given by Dorfmeister, Pedit and Wu for CMC surfaces in Euclidean space, replacing the group with . The non…