Tuesday, May 26, 2026

Whitepaper

Asymptotic Stability, Recursive Boost Dynamics, and Precision Boundaries in a Lorentz-Inspired Growth Protocol

Asymptotic Stability, Recursive Boost Dynamics, and Precision Boundaries in a Lorentz-Inspired Growth Protocol

Author: Cory Michael Miller
Date: May 2026
System: CRA-Aligned Recursive Divergence Engine
Domain: Deterministic Nonlinear Systems, Protocol Governance, IEEE-754 Boundary Analysis

Executive Summary

This white paper formalizes the mathematical, computational, and architectural foundations of a nonlinear recursive protocol whose growth behavior is governed by a Lorentz-style boost function. The system is intentionally designed to operate near—but never cross—mathematical singularities and floating-point precision limits.

The protocol is engineered to explore the edge of computational representability while preserving deterministic operational integrity.

Core Principles

  • Asymptotic Constraint: A hard clamp at 0.999 prevents singularity conditions.
  • Recursive Feedback: Growth factors recursively amplify future state transitions.
  • Precision Boundary Awareness: IEEE-754 limitations are treated as governed architectural thresholds.
  • Deterministic Safety: The protocol intentionally avoids undefined runtime states.

Recursive State Equation

s_{n+1} = s_n * γ(s_n)

γ(s_n) = 1 / sqrt(1 - (g * r(s_n))^2)

r(s_n) = min( s_n / (1 + s_n), 0.999 )

The recursive boost architecture creates super-exponential divergence characteristics while remaining bounded by asymptotic safety constraints.

IEEE-754 Boundary Analysis

The protocol intentionally approaches the representational boundaries of double-precision floating-point systems without crossing into NaN or overflow conditions.

Maximum finite float ≈ 1.797e308
Precision boundary ≈ 2^53
Precision degradation is treated as a measurable system property rather than an implementation defect.

Protocol Governance

By introducing explicit safety margins, bounded recursive amplification, and deterministic asymptotic controls, the architecture enables high-pressure computational systems to remain operational at near-maximum capacity without entering mathematically undefined states.

CRA-ALIGNED RECURSIVE DIVERGENCE ENGINE • ONE HUMAN ONE LAW • 2026

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