Extending recursive dynamics to cosmological scales. From quantum condensates to the large-scale structure of the universe—examining whether saturation thresholds and phase transitions operate at the largest observable scales.
https://doi.org/10.5281/zenodo.15764999
#Cosmology #ScaleInvariance #PhaseTransitions
Part II: Cosmic Recursion: Extending Validated Recursive Dynamics to Cosmological Scales

Theoretical extension of validated recursive dynamics principles to cosmological scales. Reinterprets black holes as recursive saturation points, dark matter/energy as recursive field substrates, and cosmic evolution as self-modifying recursive processes. Addresses longstanding cosmological puzzles including black hole information paradox and fine-tuning problems through recursive framework.  Incorporates recent DESI DR2 observations showing dynamical dark energy preference (3.1-4.2σ), supporting recursive substrate interpretation. Presents specific testable predictions for CMB signatures, gravitational wave patterns, and cosmic web structure. Maintains rigorous falsification criteria while proposing paradigm-shifting reinterpretation of cosmic phenomena. Builds on convergent empirical validation across quantum, biological, neural, and climate systems documented in Part I. Provides theoretical foundation for mathematical framework developed in Part III. Version 1.3  License changed to CC-BY 4.0 to enable full scientific dissemination. No changes to content. Version 1.2 adds a significant addendum analyzing the July 2025 LIGO–Virgo–KAGRA detection of GW231123, an extreme black hole merger that challenges standard formation theories. The addendum presents this recent detection as a critical test of recursive dynamics, provides specific falsifiable predictions distinguishing the framework from General Relativity, and outlines empirical validation pathways. Main text unchanged. Version 1.1 Adds Part II to the Zenodo title.

Zenodo

Glad to be granted a patent on prediction & control of blowout in combustion systems by United States Patent and Trademark Office. Our invention predicts the exact blowout time significantly earlier using a log periodic power law & performs control action to prevent the blowout.

#USPatents #IntellectualProperty #Blowout #IITMadras #Aviation #Innovation #JetEngine #STEM #Aerospace #Statisticalphysics #powerlaw #Complexsystems #Sustainability #scaleinvariance #Logperiodicity #Combustion

Could One Physics Theory Unlock the Mysteries of the Brain?

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