In this paper we study -tangent affine hyperspheres, where is the canonical para-complex structure on . The main purpose of this paper is to give a classification of -tangent affine hyperspheres of an arbitrary dimension with an involutive distribution $\…
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In this paper, we explicitly construct the Calabi composition of multiple affine hyperspheres possibly including some points viewing as 0-dimensional hypersheres. Then we compute all the basic affine invariants of the composed affine hyperspheres, proving that the composed affine hypersphere is symmetric one if and onl…
In this paper, we study locally strongly convex affine hyperspheres in the unimodular affine space which, as Riemannian manifolds, are locally isometric to the Riemannian product of two Riemannian manifolds both possessing constant sectional curvatures. As the main result, a complete classification o…
An affine hypersurface M is said to admit a pointwise symmetry, if there exists a subgroup G of Aut(T_p M) for all p in M, which preserves (pointwise) the affine metric h, the difference tensor K and the affine shape operator S. Here, we consider 3-dimensional indefinite affine hyperspheres, i.e. S= H Id (and thus S is…
An affine hypersurface is said to admit a pointwise symmetry, if there exists a subgroup of for all , which preserves (pointwise) the affine metric , the difference tensor and the affine shape operator . Here, we consider 3-dimensional indefinite affine hyperspheres, i.e. $S…
We show that the natural S^1-bundle over a projective special Kaehler manifold carries the geometry of a proper affine hypersphere endowed with a Sasakian structure. The construction generalizes the geometry of the Hopf-fibration $\Sr^{2n+1} \longrightarrow \CP^n$ in the context of projective special Kaehler manifolds.…
The study characterizes quadrics among affine hyperspheres based on centroid collinearity of sections.
Let be the canonical para-complex structure on . In this paper we study -dimensional centro-affine hypersurfaces with a -tangent centro-affine vector field (sometimes called -tangent centro-affine hypersurfaces) as well as -dimensional -ta…
We consider non-degenerate centro-affine hypersurface immersions in R^n whose cubic form is parallel with respect to the Levi-Civita connection of the affine metric. There exists a bijective correspondence between homothetic families of proper affine hyperspheres with center in the origin and with parallel cubic form, …
We introduce and study the equiaffine symmetric {\bf hyperspheres}. For the first step we consider the locally strongly convex ones. In fact, by the idea used by Naitoh, we provide in this paper a direct proof of the complete classification for those affine symmetric hyperspheres. Then, via an earlier result of the fir…
New statistical biharmonic maps derived from a variation problem.
We prove that any simply connected special Kaehler manifold admits a canonical immersion as a parabolic affine hypersphere. As an application, we associate a parabolic affine hypersphere to any nondegenerate holomorphic function. Also we show that a classical result of Calabi and Pogorelov on parabolic spheres implies …
In this paper, we study strictly convex affine hypersurfaces centroaffinely congruent to their centre map, in the case when the shape operator has two distinct eigenvalues: one of multiplicity 1, and one nonzero of multiplicity n-1. We show how to construct them from (n-1)-dimensional affine hyperspheres.
An affine hypersurface (AH) structure is a pair comprising a conformal structure and a projective structure such that for any torsion-free connection representing the projective structure the completely trace-free part of the covariant derivative of any metric representing the conformal structure is completely symmetri…
We consider non-degenerate graph immersions into affine space whose cubic form is parallel with respect to the Levi-Civita connection of the affine metric. There exists a correspondence between such graph immersions and pairs , where is an -dimensional real Jordan algebra and is a no…
In this paper, we mainly prove a theorem with a corollary establishing two characterizations of the Calabi composition of hyperbolic hyperspheres, where the second characterization (i.e., the corollary) has been given via a dual correspondence theorem earlier but now we would like to use a very direct method. Note that…
According to a classical result of E.~Calabi any hyperbolic affine hypersphere endowed with its natural Hessian metric has a non-positive Ricci tensor. The affine hyperspheres can be described as the level sets of solutions to the "hyperbolic" toric Kähler-Einstein equation on proper convex cones. We…
In this paper, we study locally strongly convex Tchebychev hypersurfaces, namely the {\it centroaffine totally umbilical hypersurfaces}, in the -dimensional affine space . We first make an ordinary-looking observation that such hypersurfaces are characterized by having a Riemannian structure ad…
We describe extrinsic hyperspheres and totally geodesic hypersurfaces in manifolds with special holonomy. In particular we prove the nonexistence of extrinsic hyperspheres in quaternion-Kaehler manifolds. We develop a new approach to extrinsic hyperspheres based on the classification of special Killing forms.
A new geometric perceptron model improves 3D shape classification.
Study infinite Euclidean distance discriminants of algebraic varieties.
Constructs hyperspheres with prescribed mean curvature in Euclidean space.
The study characterizes kernel spaces on hyperspheres, impacting cubature algorithms.
Study on hyperspheres in 4-spaces as special Riemannian manifolds.
Small hypersphere is unstable in both 4-harmonic and ES-4-harmonic settings.
A holomorphic representation formula for special parabolic hyperspheres is given.
Upper estimate of Dirac eigenvalue linked to hyperspherical radius.
This paper introduces hyperspherical prototype networks, which unify classification and regression with prototypes on hyperspherical output spaces. For classification, a common approach is to define prototypes as the mean output vector over training examples per class. Here, we propose to use hyperspheres as output spa…
The Variational Auto-Encoder (VAE) is one of the most used unsupervised machine learning models. But although the default choice of a Gaussian distribution for both the prior and posterior represents a mathematically convenient distribution often leading to competitive results, we show that this parameterization fails …
Convolution as inner product has been the founding basis of convolutional neural networks (CNNs) and the key to end-to-end visual representation learning. Benefiting from deeper architectures, recent CNNs have demonstrated increasingly strong representation abilities. Despite such improvement, the increased depth and l…
Many contemporary statistical learning methods assume a Euclidean feature space. This paper presents a method for defining similarity based on hyperspherical geometry and shows that it often improves the performance of support vector machine compared to other competing similarity measures. Specifically, the idea of usi…
Paper optimizes hyperspherical prototypes for better class separation.
We show how in many cases the algebraic number of immersed hyperspheres of constant (and prescribed) curvature may be related to the Euler Characteristic of the ambient space.
This work optimizes alignment and uniformity of features on a hypersphere for better downstream performance.
Researchers prove constant mean curvature graphs in hyperbolic 3-space for specific domains.
We discuss two kinds of almost contact metric structures on a one-parameter family of totally umbilical hyperspheres in the nearly Kaehler unit 6-sphere.
A new loss function HUG decouples and generalizes neural collapse.
Learning suitable latent representations for observed, high-dimensional data is an important research topic underlying many recent advances in machine learning. While traditionally the Gaussian normal distribution has been the go-to latent parameterization, recently a variety of works have successfully proposed the use…
An AH (affine hypersurface) structure is a pair comprising a projective equivalence class of torsion-free connections and a conformal structure satisfying a compatibility condition which is automatic in two dimensions. They generalize Weyl structures, and a pair of AH structures is induced on a co-oriented non-degenera…
This work studies the chord length distribution, in the case where both ends lie on a -dimensional hypersphere (). Actually, after connecting this distribution to the recently estimated surface of a hyperspherical cap \cite{SLi11}, closed-form expressions of both the probability density function and the cu…
Proposes a new latent variable model for hyperspherical latent spaces.
In this paper, we give a necessarly and sufficient condition for orbits of linear isotropy representations of Riemannian symmetric spaces are biharmonic submanifolds in hyperspheres in Euclidean spaces. In particular, we obtain examples of biharmonic submanifolds in hyperspheres whose co-dimension is greater than one.
New method uses hyperspherical geometry to improve community detection.
This paper proves the manifold hypothesis for lower embedding dimensions using osculating hyperspheres.
A new method uses hyperspherical latent spaces to disentangle data with periodic structures.
The orthogonal trajectories of the first tangents of the curve are called the involutes of . The hyperspheres which have higher order contact with a curve are known osculating hyperspheres of . The centers of osculating hyperspheres form a curve which is called generalized evolute of the given curve in $n…
There are considered 4-dimensional pseudo-Riemannian spaces with inner products of signature (3,1) and (2,2). The objects of investigation are space-like and time-like hyperspheres in the respective cases. These hypersurfaces are equipped with almost contact B-metric structures. The constructed manifolds are characteri…
The paper projects unknown manifolds onto hyperspheres for efficient function approximation.