The study shows ends of shrinking gradient -Einstein solitons are non-parabolic.
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Let , with , be an -dimensional complete noncompact manifold isometrically immersed in a Hadamard manifold . Assume that the mean curvature vector has finite -norm, for some . We prove that each end of must either have finite volume or be non-parabolic.
Study of ends of complete gradient Schouten solitons, showing finitely many ends for shrinking and connected infinity for expanding ones.
Defines non-parabolic curves in spatial hybrid space with applications.
Finite graphs with specific curvature have limited harmonic functions and ends.
In this paper we consider the conformal type (parabolicity or non-parabolicity) of complete ends of revolution immersed in simply connected space forms of constant sectional curvature. We show that any complete end of revolution in the -dimensional Euclidean space or in the -dimensional sphere is parabolic. In th…
We give a topological interpretation of the space of -harmonic forms on Manifold with flat ends. It is an answer to an old question of J. Dodziuk. We also give a Chern-Gauss-Bonnet formula for the -Euler characteristic of some of these Manifolds. These results are applications of general theorems on complete …
is shown not to be parabolic.
Using the monotonicity formulas of Colding and Minicozzi, we prove that on any complete, non-parabolic Riemannian manifold with non-negative Ricci curvature, the asymptotic weighted scaling invariant integral of scalar curvature has an explicit bound in form of asymptotic volume ratio.
Sharp gradient estimate for Green functions on non-parabolic RCD(0,N) spaces.
In this paper we show that the existence of a non-parabolic local cut point in the Bowditch boundary of a relatively hyperbolic group implies that splits over a -ended subgroup. This theorem generalizes a theorem of Bowditch from the setting of hyperbolic groups to relat…
Cuspidal edges and swallowtails are typical non-degenerate singular points on wave fronts in the Euclidean -space. Their first fundamental forms belong to a class of positive semi-definite metrics called "Kossowski metrics". A point where a Kossowski metric is not positive definite is called a singular point or a se…
We extend classical Euclidean stability theorems corresponding to the nonrelativistic Hamiltonians of ions with one electron to the setting of non parabolic Riemannian 3-manifolds.
We study Kahler manifolds-with-boundary, not necessarily compact, with weakly pseudoconvex boundary, each component of which is compact. If such a manifold has boundary components (possibly ), then it has first betti number at least , and the Levi form of any boundary component is zero. If $K…
Let be a complete non-compact manifold satisfying the volume doubling condition, with doubling index and reverse doubling index , , both for large balls. Assume a Gaussian upper bound for the heat kernel, and an -Poincaré inequality outside a compact set. If , then we show that for $p\in (2…
We prove an existence result for the Poisson equation on non-compact Riemannian manifolds satisfying weighted Poincaré inequalities outside compact sets. Our result applies to a large class of manifolds including, for instance, all non-parabolic manifolds with minimal positive Green's function vanishing at infinity. On…
The study finds a lower bound for the diameter of gradient ρ-Einstein solitons.
Consider a three dimensional cusped spherical manifold and suppose that the holonomy representation of can be deformed in such a way that the peripheral holonomy is generated by a non-parabolic element. We prove that, in this case, there is a spherical structure on some Dehn sur…
We construct a parabolic entire minimal graph over a finite topology complete Riemannian surface of curvature and infinite area (thus of non-parabolic conformal type). The vertical projection of this graph yields a harmonic diffeomorphism from onto . The proof uses the theory of divergence lines to …
Simple proof that stable minimal hypersurfaces in R^4 are hyperplanes.
A primary goal in this paper is to study the question that asks when a real analytic submanifold in bounds a real analytic (up to ) Levi-flat hypersurface near such that is foliated by a family of complex hypersurfaces moving along the normal direction of at …
We consider non-elementary representations of two generator free groups in , not necessarily discrete or free, . A word in and , , is a palindrome if it reads the same forwards and backwards. A word in a free group is {\sl primitive} if it is part of a minimal generating …
The geometric approach to optimal transport and information theory has triggered the interpretation of probability densities as an infinite-dimensional Riemannian manifold. The most studied Riemannian structures are Otto's metric, yielding the -Wasserstein distance of optimal mass transport, and the Fisher--Rao me…
Ends and cohomology theory for noncompact spaces.
End-to-end portfolio system accounts for model risk.
Regularization is important for end-to-end speech models, since the models are highly flexible and easy to overfit. Data augmentation and dropout has been important for improving end-to-end models in other domains. However, they are relatively under explored for end-to-end speech models. Therefore, we investigate the e…
Develops Bayesian approach for end-to-end learning in stochastic optimization.
Study shows mapping class groups are one-ended for surfaces with at least one end.
We give a mathematical foundation for, and numerical demonstration of, the existence of mean curvature 1 surfaces of genus 1 with either two elliptic ends or two hyperbolic ends in de Sitter 3-space. An end of a mean curvature 1 surface is an ``elliptic end'' (resp. a ``hyperbolic end'') if the monodromy matrix at the …
End-to-end speech recognition system trained on GPUs and CPUs.
End-to-end autonomous driving models get better uncertainty estimates.
This work proposes splitting deep neural networks into smaller sub-networks for faster and more efficient distillation.
End-to-end learning refers to training a possibly complex learning system by applying gradient-based learning to the system as a whole. End-to-end learning system is specifically designed so that all modules are differentiable. In effect, not only a central learning machine, but also all "peripheral" modules like repre…
End-to-end autonomous driving perception learns latent features for better performance.
Study end sum for surfaces and prove uniqueness results.
Study of non-metrizable manifolds' ends, generalizing Nyikos's theorem.
Paper constructs a minimal surface with specific ends and curvature.
Kauri is a novel unsupervised binary tree for clustering that outperforms existing methods.
Researchers found multiple ways to end-sum 4-manifolds, contradicting a previous conjecture.
End-to-end solution for recognizing handwritten numerals, avoiding traditional preprocessing steps.
New Hilbert bundles with ends defined from indexed bases.
End-to-end policy learning improves statistical arbitrage trading.
Estimates ends of Ricci shrinkers, focusing on smooth and singular cases.
End-to-end audio recognition system improves accuracy.
End-to-end text-to-speech (TTS) synthesis is a method that directly converts input text to output acoustic features using a single network. A recent advance of end-to-end TTS is due to a key technique called attention mechanisms, and all successful methods proposed so far have been based on soft attention mechanisms. H…
Derives an index formula for families of end-periodic Dirac operators.
New maxfaces with Enneper ends found.
The study counts ends on shrinkers using geometric covering methods.