Mixed-Fiber Zero Error Is Impossible
Abstract
Opposite labels in one evidence fiber force a sharp one-error lower bound for every deterministic evidence-based decision rule.
Theorem 1.1 (A mixed evidence fiber rules out zero error).
Proof. Machine-checked in Lean as D5/S3/ConceptDynamics/Decision/MixedFiberZeroErrorImpossible.mixed_fiber_zero_error_impossible (✓ std3). ∎
Source. Repository-derived.
Commentary.
The evidence map sends x and y to the same observation, while their Boolean labels are true and false. A deterministic rule therefore returns the same value at both states and cannot agree with both opposite labels; at least one state must be misclassified.
Because the conclusion ranges over every total evidence-based rule, the obstruction belongs to the evidence interface itself rather than to a particular choice of decision procedure.
Lemma 1.2 (The one-error lower bound is sharp).
Proof. Machine-checked in Lean as D5/S3/ConceptDynamics/Decision/MixedFiberZeroErrorImpossible.mixed_fiber_error_bound_is_tight (✓ std3). ∎
Source. Repository-derived.
Commentary.
Counting errors on the ordered pair (x, y), the mixed-fiber theorem gives a lower bound of one for every deterministic rule. The constant-true rule is correct on the positively labelled state and wrong on the negatively labelled state, so it attains exactly one error. Thus the universal lower bound cannot be improved.
References
- Truth anchor:
D5/S3/ConceptDynamics/Decision/MixedFiberZeroErrorImpossible.mixed_fiber_error_bound_is_tight - Truth anchor:
D5/S3/ConceptDynamics/Decision/MixedFiberZeroErrorImpossible.mixed_fiber_zero_error_impossible