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May 31, 20260 citationsOpen Access

Boundary-Encoded Stability Theory (BEST)

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KTK Takahashi

Key Points

  • The aim is to propose a framework for analyzing the stability of black-box systems by focusing on the persistence of their boundary layers under uncertainty.
  • Developed mathematical certificates for boundary-layer survival, considering various factors like metabolic variables and execution fallibility.
  • Modeled the system as a discrete-time killed process with several mathematical constructs.
  • Introduced concepts like resource concentration and history-dependent surface laws.
  • Generated conditions for boundary-layer survival, including metabolic capital constructions and finite-horizon risk ledgers.
  • Derived non-identifiability results and memory-approximation outcomes under stochastic conditions.
  • Established infinite-horizon hazard characterizations that outline system stability under specific criteria.

Abstract

This manuscript introduces Boundary-Encoded Stability Theory (BEST), a stochastic viability framework for analyzing long-running black-box systems through the persistence of their self-maintaining boundary layers rather than through full access to hidden internal state. A BEST system is modeled as a discrete-time killed process with surfaced perturbations, observation timing, metabolic boundary variables, exchange requirements, fallible control execution, schema exit and reorganization, and an absorbing death state. The paper develops mathematical certificates for boundary-layer survival, including surface-equivalence and non-identifiability results, metabolic capital constructions, stochastic-order resource concentration, stopped and time-uniform metabolic-margin bounds, history-dependent surface-law and memory-approximation results, evidence-gated schema reorganization, finite-horizon risk ledgers, infinite-horizon hazard characterizations, and continuous-time killed-generator extension conditions. The framework is intended as a structured theory of boundary persistence under uncertainty and fallible execution; it is not a containment, alignment, or hidden-bulk safety guarantee.

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Cite This Study

K Takahashi (2026) studied this question.

synapsesocial.com/papers/6a1bd1f65783ba022b6fd545https://doi.org/10.5281/zenodo.20443833
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