Эта статья является препринтом и не была отрецензирована.
О результатах, изложенных в препринтах, не следует сообщать в СМИ как о проверенной информации.
Normalization and Phenomenology of Λeff and Dark-Sector Backreaction
2026-03-25
This paper upgrades the cosmology layer of Universal Modular Dynamics (UMD) from proxy definitions to a normalization and minimal phenomenology framework. We define stable, comparable Λeff proxies by specifying admissible effective-volume families Veff , calibration
conventions, and explicit stability requirements (bootstrap and protocol sensitivity). We then
formalize an identifiability criterion for DM-like hidden backreaction residuals distinct from DE-like vacuum drift, yielding a conservative diagnostic interface in the plane (Λeff ,Rbr). Two theorem-level blocks state (i) normalization invariance under a stable protocol class and (ii) identifiability of DM-like residuals beyond vacuum drift on stable-geometry domains. A
reproducibility-first validation suite with acceptance criteria, minimal figures, and failuredomain reporting is provided.
Ссылка для цитирования:
Nesen O. I. 2026. Normalization and Phenomenology of Λeff and Dark-Sector Backreaction. PREPRINTS.RU. https://doi.org/10.24108/preprints-3114777
Список литературы
1. [1] E. T. Jaynes, Information theory and statistical mechanics, Phys. Rev. 106 (1957); 108 (1957).
2. [2] H. Araki, Relative entropy of states of von Neumann algebras, Publ. RIMS Kyoto Univ. 11 (1976).
3. [3] D. Petz, Monotone metrics on matrix spaces, Linear Algebra Appl. 244 (1996).
4. [4] S. Amari and H. Nagaoka, Methods of Information Geometry, AMS and Oxford University Press, 2000.
5. [5] G. Lindblad, On the generators of quantum dynamical semigroups, Commun. Math. Phys. 48 (1976).
6. [6] V. Gorini, A. Kossakowski, and E. C. G. Sudarshan, Completely positive dynamical semigroups of N-level systems, J. Math. Phys. 17 (1976).
7. [7] H.-P. Breuer and F. Petruccione, The Theory of Open Quantum Systems, Oxford University Press, 2002.
8. [8] H. Casini, Relative entropy and the Bekenstein bound, Class. Quant. Grav. 25 (2008).
9. [9] B. Efron and R. Tibshirani, An Introduction to the Bootstrap, Chapman & Hall/CRC, 1993.
10. [10] T. Hastie, R. Tibshirani, and R. Friedman, The Elements of Statistical Learning, Springer, 2nd ed., 2009.
11. [11] K. P. Burnham and D. R. Anderson, Model Selection and Multimodel Inference, Springer, 2nd ed., 2002.
