Results 11 to 20 of about 2,282 (200)

Local scale symmetry in non-riemannian geometry based gravitational theories and the role of the noether current

open access: yesPhysical Review D, 2023
In this paper, we delve into the significance of local scale symmetry and the role of the associated noether current, within gravitational theories which are based in non-riemannian background space. Our focus is in Weyl and in Riemann-Cartan geometry based gravitational theories.
R. Gonzalez Quaglia, Israel Quiros
openaire   +3 more sources

On the Geometry of the Riemannian Curvature Tensor of Nearly Trans-Sasakian Manifolds

open access: yesAxioms, 2023
This paper presents the results of fundamental research into the geometry of the Riemannian curvature tensor of nearly trans-Sasakian manifolds. The components of the Riemannian curvature tensor on the space of the associated G-structure are counted, and
Aligadzhi R. Rustanov
doaj   +1 more source

Geodesics in the TPS Space

open access: yesMathematics, 2022
In shape analysis, the interpolation of shapes’ trajectories is often performed by means of geodesics in an appropriate Riemannian Shape Space. Over the past several decades, different metrics and shape spaces have been proposed, including Kendall shape ...
Valerio Varano   +5 more
doaj   +1 more source

Intrinsic fractional Taylor formula

open access: yesBruno Pini Mathematical Analysis Seminar, 2022
We consider a class of non-local ultraparabolic Kolmogorov operators and a suitable fractional Holder spaces that take into account the intrinsic sub-riemannian geometry induced by the operators.
Maria Manfredini
doaj   +1 more source

Extended Riemannian Geometry I: Local Double Field Theory [PDF]

open access: yesAnnales Henri Poincaré, 2018
v2: 50 pages, typos corrected, published ...
Deser, Andreas, Sämann, Christian
openaire   +3 more sources

Quantum State Assignment Flows

open access: yesEntropy, 2023
This paper introduces assignment flows for density matrices as state spaces for representation and analysis of data associated with vertices of an underlying weighted graph.
Jonathan Schwarz   +5 more
doaj   +1 more source

Probabilistic Principal Geodesic Deep Metric Learning

open access: yesIEEE Access, 2022
Similarity learning which is useful for the purpose of comparing various characteristics of images in the computer vision field has been often applied for deep metric learning (DML).
Dae Ha Kim, Byung Cheol Song
doaj   +1 more source

Local Hölder continuity of the isoperimetric profile in complete noncompact Riemannian manifolds with bounded geometry [PDF]

open access: yesGeometriae Dedicata, 2019
17 pages. This is an improvement of the result about the continuity of the isoperimetric profile function contained in arXiv:1404.3245. The arguments used here are a slight modification of the ones already used in arXiv:1404.3245.
Muñoz Flores, Abraham Enrique   +1 more
openaire   +3 more sources

The geometry of hemi-slant submanifolds of a locally product Riemannian manifold

open access: yesTURKISH JOURNAL OF MATHEMATICS, 2015
In the present paper, we study hemi-slant submanifolds of a locally product Riemannian manifold. We prove that the anti-invariant distribution which is involved in the definition of hemi-slant submanifold is integrable and give some applications of this result. We get a necessary and sufficient condition for a proper hemi-slant submanifold to be a hemi-
Taştan, Hakan Mete, Özdemir, Fatma
openaire   +2 more sources

Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions [PDF]

open access: yes, 2014
Recent work incorporating geometric ideas in Markov chain Monte Carlo is reviewed in order to highlight these advances and their possible application in a range of domains beyond statistics. A full exposition of Markov chains and their use in Monte Carlo
Livingstone, Samuel   +5 more
core   +1 more source

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