Reference metrics are used to define the differential structure on multicube representations of manifolds, i.e., they provide a simple and practical way to define what it means globally for tensor fields and their derivatives to be continuous. This paper introduces a general procedure for constructing reference metrics…
arXiv research
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Proposes RDASS for better Korean text summarization evaluation.
The paper proves rigidity for shells in non-Euclidean spaces.
Using techniques of optimal transportation and gradient flows in metric spaces, we extend the notion of Riemannian Curvature Dimension condition introduced (in case the reference measure is finite) by Giuseppe Savare', the first and the second author, to the case the reference measure is -finite; in …
BERT embeddings improve sequence quality metrics.
Paper introduces metrics to detect unintended bias in text classifiers.
New approach solves Calabi problem on manifolds with edge-cone singularities.
We introduce a weak notion of barycenter of a probability measure on a metric measure space , with the metric and reference measure . Under the assumption that optimal transport plans are given by mappings, we prove that our barycenter is well defined; it is a probability measur…
Proximal online gradient minimizes dynamic regret in evolving environments.
Study classifies special metrics on specific surfaces.
Stability of hypersurface immersions in Riemannian manifolds proved for perturbations.
This paper has two purposes. First it partially extends the result in the author's previous work concerning the asymptotic expansion of the Tian-Yau metrics, by considering a slightly larger class of quasi-projective manifolds. This text is also intended to provide a quick introductory reference to the study of Ricci-f…
We introduce Gaussian-type measures on the manifold of all metrics with a fixed volume form on a compact Riemannian manifold of dimension . For this random model we compute the characteristic function for the (Ebin) distance to the reference metric. In the Appendix, we study Lipschitz-type distance betwee…
Motivated by the application to spacetimes of general relativity we investigate the geometry and regularity of Lorentzian manifolds under certain curvature and volume bounds. We establish several injectivity radius estimates at a point or on the past null cone of a point. Our estimates are entirely local and geometric,…
Study on spherical conical metrics and their reducibility on compact Riemann surfaces.
This is a survey article, based on the author's lectures in the 2015 Current developments in Mathematics meeting; published in "Current developments in Mathematics". Version 2, references corrected and added.
Classical elasticity is concerned with bodies that can be modeled as smooth manifolds endowed with a reference metric that represents local equilibrium distances between neighboring material elements. The elastic energy associated with a configuration of a body in classical elasticity is the sum of local contributions …
Analytic torsion studied for fibred boundary metrics, with applications to conic degeneration.
Study shows Kähler-Einstein metric singularities linked to curvature.
Locally homogeneous RCD spaces are shown to be smooth manifolds.
Proves sufficiency of countable test plans for BV functions on metric spaces.
Two data-dependent information metrics are developed to quantify the information of the prior and likelihood functions within a parametric Bayesian model, one of which is closely related to the reference priors from Berger, Bernardo, and Sun, and information measure introduced by Lindley. A combination of theoretical, …
In general relativity, an IDEAL (Intrinsic, Deductive, Explicit, ALgorithmic) characterization of a reference spacetime metric consists of a set of tensorial equations , constructed covariantly out of the metric , its Riemann curvature and their derivatives, that are satisfied if and only if is loc…
Study geodesic structure of compact balls space and find explicit isometry.
Study heat kernel on manifolds with fibred boundary metrics.
The paper finds the extremal compatible linear connection on generalized Berwald manifolds.
We can talk about two kinds of stability of the Ricci flow at Ricci flat metrics. One of them is a linear stability, defined with respect to Perelman's functional . The other one is a dynamical stability and it refers to a convergence of a Ricci flow starting at any metric in a neighbourhood of a considere…
Proves mass-capacity inequalities for critical area-normalized capacitors, improving Schwarzschild metric uniqueness.
This paper improves autoregressive model training by focusing on test metrics, not just likelihood.
The double tetrahedron is the triangulation of the three-sphere gotten by gluing together two congruent tetrahedra along their boundaries. As a piecewise flat manifold, its geometry is determined by its six edge lengths, giving a notion of a metric on the double tetrahedron. We study notions of Einstein metrics, consta…
A common approach to metric-affine, local Poincaré, special-relativistic and Galilei spacetime geometry is developed. Starting from an affine composite bundle, we introduce local reference frames and their evolution along worldlines and we study both, absolute and relative simultaneity postulates, giving rise to altern…
Unified query framework for active metric learning and classification.
In this paper, the geometric meaning of (alpha,beta)-norms is made clear. On this basis, we introduce a new class of Finsler metrics called general (alpha,beta)-metrics, which are defined by a Riemannian metric and an 1-form. These metrics not only generalize original (alpha,beta)-metrics naturally, but also include so…
Optimal regularity shown for geodesics in Kähler metrics.
New k-means method handles random data better than traditional techniques.
We study the problem of non-explosion of diffusion processes on a manifold with time-dependent Riemannian metric. In particular we obtain that Brownian motion cannot explode in finite time if the metric evolves under backwards Ricci flow. Our result makes it possible to remove the assumption of non-explosion in the pat…
Suppose is a compact Kähler manifold of dimension , and is closed -form representing a big cohomology class. We introduce a metric on the finite energy space , making it a complete geodesic metric space. This construction is potentially more rigid compared to its analog f…
In this paper, we introduce and investigate a general transformation or change of Finsler metrics, which is referred to as a generalized -conformal change: This transformation combines both -change and conformal change in a general setting. T…
Study explores kinematics of surfaces under metric restrictions.
Study on special Finsler metrics with conditions for Riemannian and isotropic properties.
This paper introduces a database to assess the perceptual similarity of adversarial images.
Second part of Q-curvature research focusing on volume comparison.
A family of non-radial solutions of the Yamabe equation, with reference the hyperbolic space, is constructed using power series. As a result, we obtain a family of asymptotically hyperbolic metrics, with spherical conformal infinity, with scalar curvature greater than -n(n - 1), but which are a priori not complete. Mor…
The work focuses upon the relativistic and geometric properties of the space--time endowed tentatively with the metric function of the Berwald--Moor type. The zero curvature of indicatrix is a remarkable property of the approach. We demonstrate how the associated geodesic equations can be solved in a transparent way, t…
The term "special biconformal change" refers, basically, to the situation where a given nontrivial real-holomorphic vector field on a complex manifold is a gradient relative to two Kähler metrics, and, simultaneously, an eigenvector of one of the metrics treated, with the aid of the other, as an endomorphism of the tan…
Feedback alignment methods need to be evaluated for accuracy and gradient cosine similarity.
Weak harmonic Weyl metrics found on all 4D closed manifolds.
Proposes QQE for transforming and embedding data distributions.