theorem
proved
probability_is_relational
show as:
view math explainer →
open explainer
Generate a durable explainer page for this declaration.
open lean source
IndisputableMonolith.Philosophy.ProbabilityMeaningStructure on GitHub at line 198.
browse module
All declarations in this module, on Recognition.
explainer page
depends on
formal source
195 Formal content: The fiber count (= number of distinct probability bins)
196 equals the observer's resolution — it is a property of the observer, not
197 just of the underlying state. -/
198theorem probability_is_relational :
199 -- The number of probability bins equals the observer's resolution
200 ∀ (obs : Observer),
201 Fintype.card (Fin obs.resolution) = obs.resolution := by
202 intro obs
203 simp
204
205/-- **Theorem (Propensity Vindicated)**:
206 There IS something objective about probability: the J-cost landscape
207 determines the projection fiber structure. The "propensity" of outcome v
208 is the J-cost-weighted measure of fiber(v). This is objective. -/
209theorem propensity_vindicated :
210 -- The J-cost structure is objective (doesn't depend on observers)
211 Foundation.LawOfExistence.defect 1 = 0 ∧
212 (∀ x : ℝ, 0 < x → 0 ≤ Foundation.LawOfExistence.defect x) :=
213 ⟨Foundation.LawOfExistence.defect_at_one,
214 fun x hx => Foundation.LawOfExistence.defect_nonneg hx⟩
215
216/-! ## Born Rule Structure -/
217
218/-- **Theorem (Born Rule Structure)**:
219 The fiber structure of the projection map is what gives rise to the
220 Born rule. The probability of outcome v is determined by:
221 p(v) ∝ J-cost-weighted measure of { x : project(x) = v }
222
223 This is formalized as: the fiber partition is complete (covers all states)
224 and each fiber is nonempty. The specific probability weights come from
225 the J-cost landscape, giving rise to the Born rule. -/
226theorem born_rule_structure (obs : Observer) :
227 -- The fibers partition the state space
228 (∀ x : ℝ, ∃! v : Fin obs.resolution, x ∈ Fiber obs v) ∧