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Quantum Statistical Manifolds [PDF]

open access: yesEntropy, 2018
Quantum information geometry studies families of quantum states by means of differential geometry. A new approach is followed with the intention to facilitate the introduction of a more general theory in subsequent work.
Jan Naudts
doaj   +8 more sources

On Almost Norden Statistical Manifolds [PDF]

open access: yesEntropy, 2022
We consider a statistical connection ∇ on an almost complex manifold with (pseudo-) Riemannian metric, in particular the Norden metric. We investigate almost Norden (statistical) manifolds under the condition that the almost complex structure J is ...
Leila Samereh   +2 more
doaj   +4 more sources

Entropic Dynamics on Gibbs Statistical Manifolds [PDF]

open access: yesEntropy, 2021
Entropic dynamics is a framework in which the laws of dynamics are derived as an application of entropic methods of inference. Its successes include the derivation of quantum mechanics and quantum field theory from probabilistic principles.
Pedro Pessoa   +2 more
doaj   +7 more sources

Geometry of Statistical Manifolds [PDF]

open access: yesEntropy
A statistical manifold M can be defined as a Riemannian manifold each of whose points is a probability distribution on the same support. In fact, statistical manifolds possess a richer geometric structure beyond the Fisher information metric defined on ...
Paul W. Vos
doaj   +3 more sources

Classification and Geometry of General Perceptual Manifolds [PDF]

open access: yesPhysical Review X, 2018
Perceptual manifolds arise when a neural population responds to an ensemble of sensory signals associated with different physical features (e.g., orientation, pose, scale, location, and intensity) of the same perceptual object.
SueYeon Chung   +2 more
doaj   +3 more sources

λ-Deformation: A Canonical Framework for Statistical Manifolds of Constant Curvature [PDF]

open access: yesEntropy, 2022
This paper systematically presents the λ-deformation as the canonical framework of deformation to the dually flat (Hessian) geometry, which has been well established in information geometry.
Jun Zhang, Ting-Kam Leonard Wong
doaj   +2 more sources

Bounds for Statistical Curvatures of Submanifolds in Kenmotsu-like Statistical Manifolds

open access: yesMathematics, 2022
In this article, we obtain certain bounds for statistical curvatures of submanifolds with any codimension of Kenmotsu-like statistical manifolds. In this context, we construct a class of optimum inequalities for submanifolds in Kenmotsu-like statistical ...
Aliya Naaz Siddiqui   +2 more
doaj   +3 more sources

Curvature Invariants of Statistical Submanifolds in Kenmotsu Statistical Manifolds of Constant ϕ-Sectional Curvature [PDF]

open access: yesEntropy, 2018
In this article, we consider statistical submanifolds of Kenmotsu statistical manifolds of constant ϕ-sectional curvature. For such submanifold, we investigate curvature properties. We establish some inequalities involving the normalized δ-Casorati
Simona Decu   +3 more
doaj   +2 more sources

Correction: Naudts, J. Quantum Statistical Manifolds. Entropy 2018, 20, 472 [PDF]

open access: yesEntropy, 2018
Section 4 of “Naudts J. Quantum Statistical Manifolds. Entropy 2018, 20, 472” contains errors. They have limited consequences for the remainder of the paper. A new version of this Section is found here.
Jan Naudts
doaj   +2 more sources

Explosive neural networks via higher-order interactions in curved statistical manifolds [PDF]

open access: yesNature Communications
Higher-order interactions underlie complex phenomena in systems such as biological and artificial neural networks, but their study is challenging due to the scarcity of tractable models. By leveraging a generalisation of the maximum entropy principle, we
Miguel Aguilera   +3 more
doaj   +2 more sources

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