Exact Structural Abstraction and Tractability Limits
Tristan Simas

TL;DR
This paper investigates the limits of exact structural abstraction and classification, identifying fundamental obstructions and conditions for tractability across various problem types and structural criteria.
Contribution
It introduces a universal semantic framework for exact relevance certification and characterizes when exact classification is possible based on closure orbits and structural predicates.
Findings
Orbit gaps obstruct exact classification by closure-law-invariant predicates.
Exact classification succeeds when the target is constant on closure orbits.
Restricting to closure-closed domains can eliminate some obstructions.
Abstract
Any rigorously specified problem determines an admissible-output relation . Here exact means exact agreement with itself; may encode approximation, randomization, statistical thresholds, failure states, or distributional guarantees. Exact relevance certification depends only on the induced decision quotient relation and asks which coordinates recover those classes. Decision, counting, search, approximation, PAC/regret/risk, randomized-output guarantees, anytime or finite-horizon guarantees, and distributional guarantees all reduce to this quotient-recovery problem. Universal exact-semantics reduction identifies admissible-output quotient recovery as the canonical object. Optimizer-quotient realizability is maximal, so quotient shape alone cannot yield a tractability frontier. Orbit gaps are the exact…
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