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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.

168,657 papers · 148 categories

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336699132 · May 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.

Upper bounds on Laplacian eigenvalues on manifolds with non-negative curvature.

problem Bounding Laplacian eigenvalues on manifolds with non-negative scalar curvature.
method Investigation of invariant spectrum on compact Riemannian manifolds with large isometry groups.
result Upper bounds for eigenvalues of the invariant spectrum assuming non-negative scalar curvature.

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 Ricci flow solutions found with rotational symmetry and cone-like singularities.

problem Finding Ricci flow solutions with specific symmetry and singularity properties.
method Rotationally symmetric Ricci flow with scaling-invariant curvature bounds, using approximation method.
result Complete Ricci flow solution with cone-like singularity at the origin.

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 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.

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 ↗

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.

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 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.

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%.

The flow of a torus by inverse mean curvature keeps total curvature bounded until singularity.

problem Understanding the behavior of a torus under inverse mean curvature flow until singularity.
method Analyzing the evolution of a rotationally symmetric embedded torus in R3\mathbb{R}^{3} by inverse mean curvature flow.
result The total curvature remains bounded until the singular time TmaxT_{\max}.

Paper shows rigidity of rotationally symmetric minimal hypersurfaces in 5D spaces.

problem Understanding rigidity of rotationally symmetric minimal hypersurfaces in 5D spaces.
method Pointwise hypersurface invariant analysis for minimal hypersurfaces in spaces of constant curvature.
result Rotationally symmetric minimal hypersurfaces in 5D spaces are rigid.

The paper classifies rotationally symmetric extremal Kähler metrics on complex manifolds.

problem Classifying extremal Kähler metrics on complex manifolds.
method Analyzing polynomial zeros in Calabi's extremal equation.
result No U(n)U(n) invariant complete extremal Kähler metrics on Cn\mathbb C^n with positive bisectional 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.

The paper finds rotationally symmetric critical metrics for Laplace eigenvalues on tori.

problem Maximizing the first normalized Laplace-Beltrami eigenvalue on tori.
method Constructing equivariant harmonic maps to spheres and analyzing their properties.
result Rotationally symmetric critical metrics for the first eigenvalue are found and characterized.

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 ↗

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 ↗

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}.

The paper classifies hypersurfaces in Heisenberg groups with rotational symmetry.

problem Classifying hypersurfaces in Heisenberg groups with rotational symmetry.
method Fundamental theorems and earlier results in [3] and [4] were used to classify umbilic hypersurfaces and generate curves for hypersurfaces with constant pp-mean curvature.
result Complete classification of umbilic hypersurfaces and generating curves in Heisenberg groups HnH_{n}.

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 ↗

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.

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.

New comparison theorems for rotationally symmetric self-shrinkers help in proving the uniqueness of the Angenent torus.

problem Uniqueness of the Angenent torus in rotationally symmetric self-shrinkers
method Analyzing profile curves and vertical points of rotationally symmetric self-shrinkers
result Proving the existence and monotonicity of horizontal-point trajectories

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 ↗