ARC 5.0 Authority Impossibility Architecture Dual AI System for Intelligence Maximization and Structural Execution Limitation

This paper proposes the Authority Impossibility Architecture (ARC 5.0), a dual-engine AI system that structurally separates interpretation from execution authority. The architecture introduces hierarchical Execution Authority Tokens, a deterministic authorization engine, and lifecycle-based temporal control to prevent highly intelligent AI systems from obtaining irreversible execution authority. The paper formally defines the authority state space and proves several structural results including the Authority Separation Theorem, the Separation Theorem between interpretation and authority spaces, and the Master Theorem of Authority Impossibility. The proposed architecture demonstrates that AI systems can maximize interpretive intelligence while structurally preventing unauthorized execution authority. This approach reframes AI safety as a problem of structural system design rather than behavioral suppression. The work further discusses multi-agent environments, lifecycle-based drift containment, and practical deployment strategies for high-intelligence AI systems. This architecture establishes a foundation for future AI operating systems in which intelligence expansion does not imply authority escalation.