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May 9, 2026Open Access

Prime Mechanics and Prime Dynamics: A Formal Theory of Adaptive Reality Optimization

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Authors

AKAndrew Kim

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Overview

Formal theory introduces adaptive reality optimization under disturbance and environmental volatility.

Key Points

  • The research aims to develop a formal mathematical framework for optimizing adaptive existence amidst various disturbances and resource constraints.
  • Introduced Prime Mechanics and Prime Dynamics as mathematical frameworks for studying adaptive systems.
  • Employed constraint theory, optimal control, and operator theory to model various systemic concepts.
  • Developed computational mechanics with Python/JAX for numerical simulations.
  • Established rigorous definitions and mathematical proofs for concepts like adaptive resilience and stability margins.
  • Demonstrated applicability of the framework in modeling disturbance conversion and adaptive policies.
  • Presented a finite-dimensional numerical simulation layer confirming theoretical constructs.

Cite This Study

Andrew Kim (2026) studied this question.

synapsesocial.com/papers/69fed0c1b9154b0b82877eechttps://doi.org/10.5281/zenodo.20060349
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