Journals / Hacettepe Journal of Mathematics and Statistics / 2026 / Volume: 50 Issue: 4

Statistical structures on tangent bundles and tangent Lie groups

Pages
—
Publication Date
2021-08-06
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Series, 2018] and study statistical structures in this setting.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Let $TM$ be a tangent bundle over a Riemannian manifold $M$ with a Riemannian metric $g$ and $TG$ be a tangent Lie group over a Lie group with a left-invariant metric $g$.
📊
Key Findings & Data:The purpose of the paper is two folds.
💡
Conclusion & Impact:Series, 2018] and study statistical structures in this setting.
🔬Design:Research Article
📍Scope:2018 Verileri
⚙️Variables:Metric · statistical structure · tangent bundle

Abstract

Let $TM$ be a tangent bundle over a Riemannian manifold $M$ with a Riemannian metric $g$ and $TG$ be a tangent Lie group over a Lie group with a left-invariant metric $g$. The purpose of the paper is two folds. Firstly, we study statistical structures on the tangent bundle $TM$ equipped with two Riemannian $g$-natural metrics and lift connections. Secondly, we define a left-invariant complete lift connection on the tangent Lie group $TG$ equipped with metric $\tilde{g}$ introduced in [F. Asgari and H. R. Salimi Moghaddam, On the Riemannian geometry of tangent Lie groups, Rend. Circ. Mat. Palermo II. Series, 2018] and study statistical structures in this setting.

🔖

Cite This Article

Peyghan, E., Seifipour, D., Gezer, A. (2021). Statistical structures on tangent bundles and tangent Lie groups. Hacettepe Journal of Mathematics and Statistics, Volume: 50 Issue: 4. https://doi.org/10.15672/hujms.645070

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (17)

  1. M.T.K. Abbassi and M. Sarih, On some hereditary properties of Riemannian g-natural metrics on tangent bundles of Riemannian manifolds, Diff. Geom. Appl. 22, 19–47, 2005.
  2. S. Amari, Information geometry of the EM and em algorithms for neural networks, Neural Networks, 8 (9), 1379–1408, 1995.
  3. F. Asgari and H.R. Salimi Moghaddam, On the Riemannian geometry of tangent Lie groups, Rend. Circ. Mat. Palermo, II. Ser. 67 (2), 185–195, 2018.
  4. V. Balan, E. Peyghan and E. Sharahi, Statistical structures on the tangent bundle of a statistical manifold with Sasaki metric, Hacet. J. Math. Stat. 49 (1), 120–135, 2020.
  5. M. Belkin, P. Niyogi and V. Sindhwani, Manifold regularization: a geometric framework for learning from labeled and unlabeled examples, J. Mach. Learn. Res. 7, 2399– 2434, 2006.
  6. L. Bilen and A. Gezer, Some results on Riemannian g-natural metrics generated by classical lifts on the tangent bundle, Eurasian Math. J. 8 (4), 18–34, 2017.
  7. T. Fei and J. Zhang, Interaction of Codazzi couplings with (Para-)Kähler geometry, Result Math. 72 (4), 2037–2056, 2017.
  8. S. Gudmundsson and E. Kappos, On the geometry of the tangent bundles, Expo. Math. 20, 1–41, 2002.
  9. S. Ianus, Statistical manifolds and tangent bundles, Sci. Bull. Univ. Politechnica of Bucharest Ser. D, 56, 29–34, 1994.
  10. S.L. Lauritzen, Statistical manifolds, In: Differential Geometry in Statistical Inferences, IMS Lecture Notes Monogr. Ser. 10, Inst. Math. Statist. Hayward California, 96–163, 1987.
  11. H. Matsuzoe and J.I. Inoguchi, Statistical structures on tangent bundles, APPS. Appl.Sci. 5 (1), 55–57, 2003.
  12. K. Nomizu and T. Sasaki, Affine Differential Geometry: Geometry of Affine Immersions, vol. 111 of Cambridge Tracts in Mathematics. Cambridge University Press, Cambridge, 1994.
  13. L. Nourmohammadifar, E. Peyghan and S. Uddin, Geometry of almost Kenmotsu Hom-Lie algebras, Quaest. Math. DOI: 10.2989/16073606.2021.1886194.
  14. C.R. Rao, Information and accuracy attainable in the estimation of statistical parameters, Bull. Calcutta Math. Soc. 37, 81–91, 1945.
  15. A. Schwenk-Schellschmidt and U. Simon, Codazzi-equivalent affine connections, Result Math. 56, 211–229, 2009.
  16. K. Sun and S. Marchand-Maillet, An information geometry of statistical manifold learning, (Proceedings of the 31st International Conference on Machine Learning (ICML-14), 1–9, 2014.
  17. K. Yano, and S. Ishihara, Tangent and cotangent bundles, Marcel Dekker, Inc., New York 1973.