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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.

168,738 papers · 148 categories

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1234 · Feb 202619922001200920172026
48 results for Rotationally-invariant

Rotationally invariant Ricci flows are constructed and shown to converge to spacetimes.

problem Constructing and understanding Ricci flows through surgery on rotationally invariant manifolds.
method Rotationally invariant Ricci flow through surgery, convergence to spacetimes, blowup rate analysis.
result Rotationally invariant Ricci flows converge to spacetimes with controlled curvature blowup.

We investigate the properties of the Cheeger sets of rotationally invariant, bounded domains ΩRnΩ\subset \mathbb{R}^n. For a rotationally invariant Cheeger set CC, the free boundary CΩ\partial C \cap Ω consists of pieces of Delaunay surfaces, which are rotationally invariant surfaces of constant mean curvature. We show…

2019-07-24abs ↗pdf ↗

New AMP algorithms for rotationally invariant models with reduced complexity.

problem Signal estimation in generalized linear models with arbitrary spectral design matrices.
method Rotationally invariant approximate message passing (AMP) algorithms.
result Performance close to Vector AMP with significantly lower 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 KK0K \geq K_0 for a positive constant K0K_0, which we determine explicitly and depends on the geometry of the ambient Ber…

2019-12-05abs ↗pdf ↗

New AMP algorithms improve multi-layer signal reconstruction.

problem Reconstructing signals and hidden variables from multi-layer networks with rotationally invariant weights.
method Developed multi-layer rotationally invariant generalized AMP (ML-RI-GAMP) algorithms and state evolution recursion.
result ML-RI-GAMP outperforms existing methods in terms of lower complexity and similar performance.

New algorithm for signal estimation in noisy matrix models.

problem Signal estimation in rectangular spiked matrix models with rotationally invariant noise.
method Orthogonal Approximate Message Passing (OAMP) algorithm for signal estimation.
result Optimal OAMP algorithm minimizes mean-squared error and achieves Bayes-optimal performance.

New algorithms improve rank one signal estimation from noisy data.

problem Estimating a rank one signal matrix from corrupted data with rotationally invariant noise.
method Developed approximate message-passing algorithms exploiting eigenvalues and iterates denoisers.
result Achieves optimal asymptotic estimation error among iterative algorithms.

Study stabilizes translating solitons in hyperbolic space for MCF.

problem Stability of translating solitons in hyperbolic space.
method Developed theory, constructed rotationally invariant translators, used avoidance principle and maximum principle.
result Horospheres are dynamically stable as radial graphical solutions to MCF.

Study solves overdetermined problems for rotationally invariant Poisson equations in model manifolds.

problem Solving overdetermined problems for rotationally invariant Poisson equations in model manifolds.
method Analyzes specific cases of overdetermined problems and uses geometric properties of model manifolds to deduce radial solutions.
result Conditions on ff, φ\varphi and κκ imply that the solution uu is radial and the domain ΩΩ is a geodesic ball centered at OO.

The paper finds new constant pp-mean curvature surfaces in the Heisenberg group.

problem Discovering new examples of constant pp-mean curvature surfaces.
method Utilizing the theory and approach for constructing such surfaces.
result Complete description of rotationally invariant surfaces of constant pp-mean curvature.

Study classifies and characterizes translators in hyperbolic static universe.

problem Classifying and characterizing translators in hyperbolic static universe.
method Classified and characterized translators foliated by horospheres and rotationally invariant ones, both space-like and time-like.
result Obtained a characterization of the bowl and certain translators foliated by horospheres.

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 (R×P,dt2+g0)(\mathbb{R} \times P, {\rm d}t^2+g_0) and the Killing field is X=tX=\partial_t. Similarly to what h…

2018-03-04abs ↗pdf ↗

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 SnS^n, Rn\R{n} and R×Sn1\R{}\times S^{n-1} are, respectively, the round, flat, and standard cylindrical metrics.

2007-02-20abs ↗pdf ↗

Study elliptic Weingarten surfaces in warped product space with specific curvature conditions.

problem Characterize elliptic Weingarten surfaces in warped product spaces with minimal type curvature conditions.
method Analyze surfaces with mean curvature and extrinsic curvature satisfying a specific relationship under radial symmetry of the warping function.
result Existence and uniqueness of rotationally-invariant elliptic Weingarten surfaces of minimal type in RimeshR\mathbb{R} imes_{h} \mathbb{R}.

In the first part of this article we obtain an identity relating the radial spectrum of rotationally invariant geodesic balls and an isoperimetric quotient 1/λirad=V(s)/S(s)ds\sum 1/λ_{i}^{\rm rad}=\int V(s)/S(s)ds. We also obtain upper and lower estimates for the series λi2(Ω)\sum λ_{i}^{-2}(Ω) where ΩΩ is an extrinsic ball of a proper m…

2016-05-14abs ↗pdf ↗

We study stable constant mean curvature (CMC) hypersurfaces ΣΣ in slabs in a product space M×,˚M\times\r, where MM is an orientable Riemannian manifold. We obtain a characterization of stable cylinders and prove that if ΣΣ is not a cylinder then it is locally a vertical graph. Moreover, in case MM is $\h^n,\r^n$ or $…

2018-02-19abs ↗pdf ↗

Formula for heat coefficients of curved conic singularities derived from Riemannian metrics.

problem Calculating heat coefficients for surfaces with curved conic singularities.
method Explicit formula derivation for coefficient b1/2(C)b_{1/2}(C) under rotationally invariant metrics near conical singularities.
result The coefficient b1/2(C)b_{1/2}(C) varies irrationally under constant rescalings near the cone point, contrasting with other coefficients.

New method for cross-validation in high-dimensional data with dependent or heavy-tailed covariates.

problem Inconsistent cross-validation in high-dimensional settings with dependent or heavy-tailed covariates.
method ROTI-GCV framework for cross-validation under proportional asymptotics regime.
result Demonstrated accuracy of ROTI-GCV in synthetic and semi-synthetic settings.

Optimizes VAE hyperparameters for efficient training and manifold discovery.

problem Efficiently optimizing hyperparameters in VAEs for complex data.
method Latent Bayesian Optimization (zBO) for hyperparameter trajectory optimization.
result Demonstrated improved performance in finding joint rotationally invariant representations.

Our aim is to study invariant hypersurfaces immersed in the Euclidean space Rn+1\mathbb{R}^{n+1}, whose mean curvature is given as a linear function in the unit sphere Sn\mathbb{S}^n depending on its Gauss map. These hypersurfaces are closely related with the theory of manifolds with density, since their weighted mean cu…

2019-08-20abs ↗pdf ↗

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 $…

2010-10-05abs ↗pdf ↗

New optimal surfaces found in Heisenberg group defy Euclidean sphere optimality.

problem Optimizing mean curvature in Heisenberg group sub-Riemannian setting.
method Developed variational theory, established first and second variation formulas, introduced new critical surfaces.
result Identified and characterized a new family of rotationally invariant critical surfaces, the Pansu-Minkowski spheres.

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 …

2016-07-28abs ↗pdf ↗

New bounds prevent degradation in high-dimensional signal estimation.

problem Statistical learning bounds degradation with increasing dimensionality.
method Investigates linear prediction rules under structural assumptions.
result Derives upper and lower bounds on generalization error.

Let ΩΩ be a star-shaped bounded domain in (Sn,ds2)(\mathbb{S}^{n}, ds^{2}) with smooth boundary. In this article, we give a sharp lower bound for the first non-zero eigenvalue of the Steklov eigenvalue problem in Ω.Ω. This result is the generalization of a result given by Kuttler and Sigillito for a star-shaped bounded doma…

2018-02-11abs ↗pdf ↗

New Bäcklund transformations for discrete pseudospherical surfaces of revolution are found.

problem Constructing new non-rotational discrete pseudospherical surfaces.
method Explicit parametrizations and Bäcklund transformations for discrete constant negative Gaussian curvature surfaces of revolution.
result Conditions for Bäcklund transformations to preserve periodicity are provided.

Let uu denote a solution to a rotationally invariant Hessian equation F(D2u)=0F(D^2u)=0 on a bounded simply connected domain ΩR2Ω\subset R^2, with constant Dirichlet and Neumann data on Ω\partial Ω. In this paper we prove that if uu is real analytic and not identically zero, then uu is radial and ΩΩ is a disk. The fully …

2019-02-05abs ↗pdf ↗

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…

2015-11-12abs ↗pdf ↗

Recently, Awasthi et al. introduced an SDP relaxation of the kk-means problem in Rm\mathbb R^m. In this work, we consider a random model for the data points in which kk balls of unit radius are deterministically distributed throughout Rm\mathbb R^m, and then in each ball, nn points are drawn according to a common ro…

2015-05-18abs ↗pdf ↗

Spectral clustering performance depends on eigenvector fluctuations, shown to be Gaussian.

problem Predicting the performance of spectral clustering.
method General spike random matrix model and rotational invariance of noise.
result Fluctuations of eigenvector entries are Gaussian in large-dimensional regime.

In this article, we consider compact surfaces ΣΣ having constant mean curvature HH (HH-surfaces) whose boundary Γ=ΣM0=M×f{0}Γ=\partialΣ\subset \mathbb{M}_0= \mathbb{M} \times_f\{0\} is transversal to the slice M0\mathbb{M}_0 of the warped product M×fR \mathbb{M}\times_f\mathbb{R} , here M \mathbb{M} denotes a Hadamard surface…

2018-03-21abs ↗pdf ↗

New minimal surfaces in spheres with complex topologies from capillarity.

problem Constructing minimal surfaces in spheres with rich topologies.
method General construction of embedded minimal and constant mean curvature surfaces in Sn\mathbb{S}^n using capillary hypersurfaces.
result Non-trivial sphere bundles over various base spaces, including Stiefel manifolds and complex quadrics.

The study examines optimal synthesis in a radially symmetric Grushin space with conditions on the weight function.

problem Optimal synthesis in a radially symmetric Grushin space with a weight function.
method Analysis of the geometry of R3\mathbb{R}^3 with a weighted Carnot-Carathéodory metric, providing conditions for Grushin-like structure, and describing optimal synthesis.
result Sufficient conditions on the weight function ensure a Grushin-like structure, and the candidate cut time coincides with the true cut time in the integrable case.

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…

2019-06-06abs ↗pdf ↗

Rotationally equivariant convolutions improve molecular property prediction.

problem Predicting molecular properties using graph neural networks.
method Ablation study with rotationally equivariant and invariant convolutions on QM9 data set.
result Rotationally equivariant layers decrease test error by an average of 23%.

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…

2017-11-24abs ↗pdf ↗

We give an infinite dimensional generalized Weierstrass representation for spacelike constant mean curvature (CMC) surfaces in Minkowski 3-space 2,1\real^{2,1}. The formulation is analogous to that given by Dorfmeister, Pedit and Wu for CMC surfaces in Euclidean space, replacing the group SU2SU_2 with SU1,1SU_{1,1}. The non…

2008-04-10abs ↗pdf ↗