Encyclopedia Cost Cost Cont Diff Reduction Law Of Logic Forces Jcost Of Cont Diff
ARTICLE 3 claims 3 theorems
Cost Cont Diff Reduction Law Of Logic Forces Jcost Of Cont Diff
A single forced formula governs the price of recognition; this theorem shows which assumptions are truly needed.
The cost function
In mathematics, a cost function assigns a number to each possible outcome, measuring the price of choosing it. The Recognition Science framework studies a particular kind of cost: one that measures the price of a recognition event, a discrete record of something being identified. The central question is whether the form of this cost is forced by a few natural conditions, or whether many different shapes are possible.
The framework's library, a machine-checked collection of formal theorems, proves a sharp answer. The declaration law_of_logic_forces_jcost_of_contDiff establishes that any cost function F satisfying four conditions must equal the specific formula J(x) = (x + 1/x)/2 - 1 for all positive x. The four conditions are: normalization (F(1) = 0), a composition law that fixes how costs combine, a calibration condition, and a smoothness condition called C² regularity, meaning the function has two continuous derivatives.
The theorem's force is that it removes an assumption. Earlier versions of the result required reciprocal symmetry, the condition that F(1/x) = F(x), as a separate input. This theorem shows that reciprocal symmetry is not needed as an assumption: it follows automatically from normalization, the composition law, and calibration alone, provided the function is smooth enough. The proof works by showing that a related function H = G + 1 satisfies a classical equation known as d'Alembert's functional equation, H(t+u) + H(t-u) = 2H(t)H(u), and that the smoothness condition forces H to be the hyperbolic cosine function.
What the theorem does not claim is equally important. It does not claim that the cost function is unique without the smoothness condition. Without C² regularity, the d'Alembert equation admits many pathological solutions that are not hyperbolic cosine, so the smoothness assumption is essential. The theorem also does not claim that the framework's other results, such as the golden ratio or three-dimensional space, follow from this declaration alone; those are separate theorems in the library. Finally, it does not claim that the cost function describes any physical system; it is a mathematical result about a specific class of functions.
THEOREM law_of_logic_forces_jcost_of_contDiff · IndisputableMonolith/Cost/ContDiffReduction.lean
/-- Sharpened T5 surface:
normalization, the composition law, calibration, and `C²` regularity of `H = G + 1`
already force the canonical reciprocal cost. Reciprocal symmetry is derived, not assumed. -/
theorem law_of_logic_forces_jcost_of_contDiff
(F : ℝ → ℝ)
(hNorm : IsNormalized F)
(hComp : SatisfiesCompositionLaw F)
(hCalib : IsCalibrated F)
(h_diff : ContDiff ℝ 2 (H F)) :
∀ x : ℝ, 0 < x → F x = Cost.Jcost x := by
intro x hx
let Gf : ℝ → ℝ := G F
let Hf : ℝ → ℝ := H F
have hCoshAdd : CoshAddIdentity F := (composition_law_equiv_coshAdd F).mp hComp
have h_direct : DirectCoshAdd Gf := CoshAddIdentity_implies_DirectCoshAdd F hCoshAdd
have h_H0 : Hf 0 = 1 := by
dsimp [Hf]
simpa [H, G, IsNormalized] using hNorm
have h_dAlembert : ∀ t u, Hf (t + u) + Hf (t - u) = 2 * Hf t * Hf u := by
intro t u
have hG := h_direct t u
have h_goal :
(Gf (t + u) + 1) + (Gf (t - u) + 1) = 2 * (Gf t + 1) * (Gf u + 1) := by
calc
(Gf (t + u) + 1) + (Gf (t - u) + 1)
= (Gf (t + u) + Gf (t - u)) + 2 := by ring
_ = (2 * (Gf t * Gf u) + 2 * (Gf t + Gf u)) + 2 := by simp [hG]
_ = 2 * (Gf t + 1) * (Gf u + 1) := by ring
simpa [Hf, H, Gf] using h_goal
have h_H_d2 : deriv (deriv Hf) 0 = 1 := by
have hG_d2 : deriv (deriv Gf) 0 = 1 := by
simpa [Gf, G, IsCalibrated] using hCalib
have hderiv : deriv Hf = deriv Gf := by
funext t
change deriv (fun y => Gf y + 1) t = deriv Gf t
exact deriv_add_const (f := Gf) (x := t) (c := (1 : ℝ))
have hderiv2 : deriv (deriv Hf) = deriv (deriv Gf) := congrArg deriv hderiv
exact (congrArg (fun g => g 0) hderiv2).trans hG_d2
have h_H_cosh : ∀ t, Hf t = Real.cosh t :=
dAlembert_cosh_solution_of_contDiff Hf h_H0 h_dAlembert (by simpa [Hf] using h_diff) h_H_d2
have h_G_cosh : ∀ t, Gf t = Real.cosh t - 1 := by
intro t
have hH := h_H_cosh t
have hH' : Gf t + 1 = Real.cosh t := by
simpa [Hf, H, Gf] using hH
linarith
have ht : Real.exp (Real.log x) = x := Real.exp_log hx
have hJG : G Cost.Jcost (Real.log x) = Real.cosh (Real.log x) - 1 :=
Jcost_G_eq_cosh_sub_one (Real.log x)
calc
F x = F (Real.exp (Real.log x)) := by rw [ht]
_ = Gf (Real.log x) := rfl
_ = Real.cosh (Real.log x) - 1 := h_G_cosh (Real.log x)
_ = G Cost.Jcost (Real.log x) := by simpa using hJG.symm
_ = Cost.Jcost (Real.exp (Real.log x)) := by simp [G]
_ = Cost.Jcost x := by rw [ht]
THEOREM composition_law_forces_reciprocity · IndisputableMonolith/Cost/ContDiffReduction.lean
/-- A normalized composition-law cost is automatically reciprocal. -/
theorem composition_law_forces_reciprocity
(F : ℝ → ℝ)
(hNorm : IsNormalized F)
(hComp : SatisfiesCompositionLaw F) :
IsReciprocalCost F := by
intro x hx
let Hf : ℝ → ℝ := H F
have h_H0 : Hf 0 = 1 := by
dsimp [Hf]
simpa [H, G, IsNormalized] using hNorm
have hCoshAdd : CoshAddIdentity F := (composition_law_equiv_coshAdd F).mp hComp
have h_direct : DirectCoshAdd (G F) := CoshAddIdentity_implies_DirectCoshAdd F hCoshAdd
have h_dAlembert : ∀ t u, Hf (t + u) + Hf (t - u) = 2 * Hf t * Hf u := by
intro t u
have hG := h_direct t u
have h_goal :
(G F (t + u) + 1) + (G F (t - u) + 1) = 2 * (G F t + 1) * (G F u + 1) := by
calc
(G F (t + u) + 1) + (G F (t - u) + 1)
= (G F (t + u) + G F (t - u)) + 2 := by ring
_ = (2 * (G F t * G F u) + 2 * (G F t + G F u)) + 2 := by simpa [hG]
_ = 2 * (G F t + 1) * (G F u + 1) := by ring
simpa [Hf, H] using h_goal
have h_even : Function.Even Hf := dAlembert_even Hf h_H0 h_dAlembert
have h_even_at_log := h_even (Real.log x)
have h_eq_plus :
F x + 1 = F x⁻¹ + 1 := by
simpa [Hf, H, G, Real.exp_log hx, Real.exp_neg] using h_even_at_log.symm
linarith
THEOREM dAlembert_cosh_solution_of_contDiff · IndisputableMonolith/Cost/ContDiffReduction.lean
/-- `C²` d'Alembert solutions are determined by calibration and equal `cosh`. -/
theorem dAlembert_cosh_solution_of_contDiff
(Hf : ℝ → ℝ)
(h_one : Hf 0 = 1)
(h_dAlembert : ∀ t u, Hf (t + u) + Hf (t - u) = 2 * Hf t * Hf u)
(h_diff : ContDiff ℝ 2 Hf)
(h_deriv2_zero : deriv (deriv Hf) 0 = 1) :
∀ t, Hf t = Real.cosh t := by
have h_ode : ∀ t, deriv (deriv Hf) t = Hf t :=
dAlembert_to_ODE_of_contDiff Hf h_dAlembert h_diff h_deriv2_zero
have h_even : Function.Even Hf := dAlembert_even Hf h_one h_dAlembert
have h_diff0 : DifferentiableAt ℝ Hf 0 :=
(contDiffTwo_differentiable h_diff).differentiableAt
have h_deriv_zero : deriv Hf 0 = 0 :=
even_deriv_at_zero Hf h_even h_diff0
exact ode_cosh_uniqueness_contdiff Hf h_diff h_ode h_one h_deriv_zero
What this page does not claim
The theorem does not claim uniqueness without the C² smoothness condition. The theorem does not claim that the framework's other results follow from this declaration alone. The theorem does not claim that the cost function describes any physical system.
Verify this page
Every tagged claim above names its theorem. To check one yourself rather than trust this page, elaborate the source module with Lean 4 and audit its axiom basis:
$ lake env lean IndisputableMonolith/Cost/ContDiffReduction.lean
expected axiom basis: [propext, Classical.choice, Quot.sound] (the Lean kernel's standard three; no RS-specific axioms)
A page whose claims cannot be reproduced this way does not ship. In production, every anchor links to the exact declaration in the public source release, and this block carries the build receipt for the page itself.
Derived articles
This page is generated by a question-recursion engine: the questions its answers raise become the next pages. The current agenda, with open targets marked red:
- What pathological solutions to d'Alembert's equation exist without the smoothness condition?
- How does the framework derive the golden ratio from this cost function?
- What physical interpretation does the framework give to the cost function J?
MACHINE LAYER · GROUNDED CLAIM TABLE · CLICK TO EXPAND
THEOREM law_of_logic_forces_jcost_of_contDiff · IndisputableMonolith/Cost/ContDiffReduction.lean
/-- Sharpened T5 surface: normalization, the composition law, calibration, and `C²` regularity of `H = G + 1` already force the canonical reciprocal cost. Reciprocal symmetry is derived, not assumed. -/ theorem law_of_logic_forces_jcost_of_contDiff (F : ℝ → ℝ) (hNorm : IsNormalized F) (hComp : SatisfiesCompositionLaw F) (hCalib : IsCalibrated F) (h_diff : ContDiff ℝ 2 (H F)) : ∀ x : ℝ, 0 < x → F x = Cost.Jcost x := by intro x hx let Gf : ℝ → ℝ := G F let Hf : ℝ → ℝ := H F have hCoshAdd : CoshAddIdentity F := (composition_law_equiv_coshAdd F).mp hComp have h_direct : DirectCoshAdd Gf := CoshAddIdentity_implies_DirectCoshAdd F hCoshAdd have h_H0 : Hf 0 = 1 := by dsimp [Hf] simpa [H, G, IsNormalized] using hNorm have h_dAlembert : ∀ t u, Hf (t + u) + Hf (t - u) = 2 * Hf t * Hf u := by intro t u have hG := h_direct t u have h_goal : (Gf (t + u) + 1) + (Gf (t - u) + 1) = 2 * (Gf t + 1) * (Gf u + 1) := by calc (Gf (t + u) + 1) + (Gf (t - u) + 1) = (Gf (t + u) + Gf (t - u)) + 2 := by ring _ = (2 * (Gf t * Gf u) + 2 * (Gf t + Gf u)) + 2 := by simp [hG] _ = 2 * (Gf t + 1) * (Gf u + 1) := by ring simpa [Hf, H, Gf] using h_goal have h_H_d2 : deriv (deriv Hf) 0 = 1 := by have hG_d2 : deriv (deriv Gf) 0 = 1 := by simpa [Gf, G, IsCalibrated] using hCalib have hderiv : deriv Hf = deriv Gf := by funext t change deriv (fun y => Gf y + 1) t = deriv Gf t exact deriv_add_const (f := Gf) (x := t) (c := (1 : ℝ)) have hderiv2 : deriv (deriv Hf) = deriv (deriv Gf) := congrArg deriv hderiv exact (congrArg (fun g => g 0) hderiv2).trans hG_d2 have h_H_cosh : ∀ t, Hf t = Real.cosh t := dAlembert_cosh_solution_of_contDiff Hf h_H0 h_dAlembert (by simpa [Hf] using h_diff) h_H_d2 have h_G_cosh : ∀ t, Gf t = Real.cosh t - 1 := by intro t have hH := h_H_cosh t have hH' : Gf t + 1 = Real.cosh t := by simpa [Hf, H, Gf] using hH linarith have ht : Real.exp (Real.log x) = x := Real.exp_log hx have hJG : G Cost.Jcost (Real.log x) = Real.cosh (Real.log x) - 1 := Jcost_G_eq_cosh_sub_one (Real.log x) calc F x = F (Real.exp (Real.log x)) := by rw [ht] _ = Gf (Real.log x) := rfl _ = Real.cosh (Real.log x) - 1 := h_G_cosh (Real.log x) _ = G Cost.Jcost (Real.log x) := by simpa using hJG.symm _ = Cost.Jcost (Real.exp (Real.log x)) := by simp [G] _ = Cost.Jcost x := by rw [ht]The declaration law_of_logic_forces_jcost_of_contDiff establishes that any cost function F satisfying normalization, the composition law, calibration, and C² regularity must equal J(x) = (x + 1/x)/2 - 1 for all positive x. law_of_logic_forces_jcost_of_contDiff · IndisputableMonolith/Cost/ContDiffReduction.leanTHEOREM composition_law_forces_reciprocity · IndisputableMonolith/Cost/ContDiffReduction.lean
/-- A normalized composition-law cost is automatically reciprocal. -/ theorem composition_law_forces_reciprocity (F : ℝ → ℝ) (hNorm : IsNormalized F) (hComp : SatisfiesCompositionLaw F) : IsReciprocalCost F := by intro x hx let Hf : ℝ → ℝ := H F have h_H0 : Hf 0 = 1 := by dsimp [Hf] simpa [H, G, IsNormalized] using hNorm have hCoshAdd : CoshAddIdentity F := (composition_law_equiv_coshAdd F).mp hComp have h_direct : DirectCoshAdd (G F) := CoshAddIdentity_implies_DirectCoshAdd F hCoshAdd have h_dAlembert : ∀ t u, Hf (t + u) + Hf (t - u) = 2 * Hf t * Hf u := by intro t u have hG := h_direct t u have h_goal : (G F (t + u) + 1) + (G F (t - u) + 1) = 2 * (G F t + 1) * (G F u + 1) := by calc (G F (t + u) + 1) + (G F (t - u) + 1) = (G F (t + u) + G F (t - u)) + 2 := by ring _ = (2 * (G F t * G F u) + 2 * (G F t + G F u)) + 2 := by simpa [hG] _ = 2 * (G F t + 1) * (G F u + 1) := by ring simpa [Hf, H] using h_goal have h_even : Function.Even Hf := dAlembert_even Hf h_H0 h_dAlembert have h_even_at_log := h_even (Real.log x) have h_eq_plus : F x + 1 = F x⁻¹ + 1 := by simpa [Hf, H, G, Real.exp_log hx, Real.exp_neg] using h_even_at_log.symm linarithThe theorem shows that reciprocal symmetry follows automatically from normalization, the composition law, and calibration alone, provided the function is smooth enough. composition_law_forces_reciprocity · IndisputableMonolith/Cost/ContDiffReduction.leanTHEOREM dAlembert_cosh_solution_of_contDiff · IndisputableMonolith/Cost/ContDiffReduction.lean
/-- `C²` d'Alembert solutions are determined by calibration and equal `cosh`. -/ theorem dAlembert_cosh_solution_of_contDiff (Hf : ℝ → ℝ) (h_one : Hf 0 = 1) (h_dAlembert : ∀ t u, Hf (t + u) + Hf (t - u) = 2 * Hf t * Hf u) (h_diff : ContDiff ℝ 2 Hf) (h_deriv2_zero : deriv (deriv Hf) 0 = 1) : ∀ t, Hf t = Real.cosh t := by have h_ode : ∀ t, deriv (deriv Hf) t = Hf t := dAlembert_to_ODE_of_contDiff Hf h_dAlembert h_diff h_deriv2_zero have h_even : Function.Even Hf := dAlembert_even Hf h_one h_dAlembert have h_diff0 : DifferentiableAt ℝ Hf 0 := (contDiffTwo_differentiable h_diff).differentiableAt have h_deriv_zero : deriv Hf 0 = 0 := even_deriv_at_zero Hf h_even h_diff0 exact ode_cosh_uniqueness_contdiff Hf h_diff h_ode h_one h_deriv_zeroThe proof works by showing that a related function H = G + 1 satisfies d'Alembert's functional equation, H(t+u) + H(t-u) = 2H(t)H(u), and that the smoothness condition forces H to be the hyperbolic cosine function. dAlembert_cosh_solution_of_contDiff · IndisputableMonolith/Cost/ContDiffReduction.lean