Encyclopedia Foundation Foundation Dalembert Inevitability Symmetry And Normalization Constrain P

ARTICLE 2 claims 2 theorems

Foundation Dalembert Inevitability Symmetry And Normalization Constrain P

A simple rule about cost forces the only possible way to combine two costs, and the proof is machine-checked.

The forced combiner

The d'Alembert functional equation is a classical object in mathematics, studied since Jean le Rond d'Alembert's work in the 18th century. It asks for functions that satisfy a certain relation between values at products and quotients. In its simplest form, it describes functions where the value at a product relates to the values at the factors in a fixed way. The equation has many solutions, but they are sharply constrained once you demand the function be well-behaved, for instance continuous or smooth.

In Recognition Science, the framework models a cost, a measure of how far a positive number deviates from 1, as such a function. The framework proves a specific structural fact: if the cost is symmetric, meaning the cost of x equals the cost of 1/x, and if it is normalized so the cost of 1 is zero, then the polynomial that combines the costs of two numbers, written P, must satisfy P(0, v) = 2v for any v. This is the declaration symmetry_and_normalization_constrain_P. It is a theorem in the framework's machine-checked library of formal theorems, meaning the proof is verified step by step by a computer.

This single constraint is the first step in a longer argument. The full proof shows that, under these conditions plus a regularity condition like continuity, the combiner P cannot be arbitrary. It must take the specific form P(u, v) = 2u + 2v + c·uv for some constant c. With a further choice of units, setting c = 2, this becomes the exact equation F(xy) + F(x/y) = 2F(x)F(y) + 2F(x) + 2F(y), which is the framework's central cost equation. The theorem establishes that this equation is not chosen by hand; it is the unique polynomial form forced by the basic requirements of symmetry, normalization, and multiplicative consistency.

The declaration does not claim that the constant c is determined by symmetry and normalization alone. It leaves c as a free parameter, to be fixed later by a separate calibration step. It also does not claim that the full cost function is unique at this stage; that requires the additional regularity and non-triviality assumptions. The theorem is a precise, narrow statement about the polynomial combiner, not about the entire cost function.

THEOREM symmetry_and_normalization_constrain_P · IndisputableMonolith/Foundation/DAlembert/Inevitability.lean
symmetry_and_normalization_constrain_P · IndisputableMonolith/Foundation/DAlembert/Inevitability.lean:104
/-- If F is symmetric (F(x) = F(1/x)) and normalized, then P(0, v) = 2v. -/
theorem symmetry_and_normalization_constrain_P (F : ℝ → ℝ) (P : ℝ → ℝ → ℝ)
    (hSym : IsSymmetric F)
    (hNorm : IsNormalized F)
    (hCons : HasMultiplicativeConsistency F P) :
    ∀ y : ℝ, 0 < y → P 0 (F y) = 2 * F y := by
  intro y hy_pos
  have h := hCons 1 y one_pos hy_pos
  simp only [one_mul, one_div] at h
  rw [hNorm] at h
  have hSymY : F y⁻¹ = F y := (hSym y hy_pos).symm
  rw [hSymY] at h
  -- Now h : F y + F y = P 0 (F y)
  linarith
THEOREM bilinear_family_forced · IndisputableMonolith/Foundation/DAlembert/Inevitability.lean
/-- **THEOREM: The consistency requirement forces the unique bilinear family.**

Given:
1. F : ℝ₊ → ℝ is a cost functional
2. F is symmetric: F(x) = F(1/x)
3. F is normalized: F(1) = 0
4. F has multiplicative consistency: F(xy) + F(x/y) = P(F(x), F(y)) for some **symmetric quadratic polynomial** P
5. F is non-trivial (not constant 0)

Then:
P(u, v) = 2u + 2v + c*u*v for some constant c.

This means F satisfies the generalized d'Alembert equation.
If we choose the canonical cost normalization c = 2, we recover the RCL. -/
theorem bilinear_family_forced (F : ℝ → ℝ) (P : ℝ → ℝ → ℝ)
    (hNorm : IsNormalized F)
    (hCons : HasMultiplicativeConsistency F P)
    (hPoly : ∃ (a b c d e f : ℝ), ∀ u v, P u v = a + b*u + c*v + d*u*v + e*u^2 + f*v^2)
    (hSymP : ∀ u v, P u v = P v u) -- Explicit symmetry of P
    (hNonTriv : ∃ x : ℝ, 0 < x ∧ F x ≠ 0)
    (hCont : ContinuousOn F (Set.Ioi 0)) -- Regularity: F is continuous on (0, ∞)
    : ∃ c : ℝ, (∀ u v, P u v = 2*u + 2*v + c*u*v) ∧
               (c = 2 → ∀ u v, P u v = 2*u + 2*v + 2*u*v) := by
  -- Derived reciprocity from symmetry of P
  have hSym : IsSymmetric F := F_symmetric_of_P_symmetric F P hCons hSymP
  -- Step 1: Normalization forces P(0, v) = 2v
  have hP0 : ∀ y : ℝ, 0 < y → P 0 (F y) = 2 * F y :=
    symmetry_and_normalization_constrain_P F P hSym hNorm hCons

  -- Use the polynomial form lemma
  -- We need to satisfy the hypotheses of `polynomial_form_forced`.
  -- `hNorm0`: ∀ v, P 0 v = 2 * v.
  -- We only have `P 0 (F y) = 2 F y`.
  -- However, since P is a polynomial and F is non-trivial (has range with at least 0 and some non-zero value),
  -- we can determine the coefficients.
  -- P(0, v) = a + c*v + f*v^2.
  -- P(0, 0) = a = 2*0 = 0 (from F(1)=0).
  -- P(0, F y) = c*(F y) + f*(F y)^2 = 2*(F y).
  -- This holds for y=1 (0=0) and some y where F y ≠ 0.
  -- If we only have two points, we can't uniquely determine a quadratic.
  -- But wait, `polynomial_form_forced` derived `a=0, c=2, f=0`.
  -- Let's reproduce that logic but being careful about the domain.

  obtain ⟨a, b, c, d, e, f, hP⟩ := hPoly

  -- 1. a = 0
  have ha : a = 0 := by
    have hCons1 := hCons 1 1 one_pos one_pos
    simp only [one_mul, one_div] at hCons1
    -- hCons1 : F 1 + F 1⁻¹ = P (F 1) (F 1)
    -- inv_one : 1⁻¹ = 1
    rw [inv_one, hNorm] at hCons1
    -- hCons1 : 0 + 0 = P 0 0
    simp only [add_zero] at hCons1
    -- hCons1 : 0 = P 0 0
    rw [hP 0 0] at hCons1
    simp at hCons1
    exact hCons1.symm

  -- 2. From hSymP: P(u,v) = P(v,u)
  -- a + bu + cv + duv + eu^2 + fv^2 = a + bv + cu + duv + ev^2 + fu^2
  -- (b-c)u + (c-b)v + (e-f)u^2 + (f-e)v^2 = 0
  -- This implies b=c and e=f.
  have hb_c : b = c := by
    have h1 := hSymP 1 0
    rw [hP 1 0, hP 0 1] at h1
    -- h1 : a + b*1 + c*0 + d*0 + e*1 + f*0 = a + b*0 + c*1 + d*0 + e*0 + f*1
    -- i.e., a + b + e = a + c + f
    -- Using ha: a = 0, we get b + e = c + f
    simp only [ha, mul_zero, mul_one, add_zero, zero_add] at h1
    -- We need another equation to separate b, e, c, f
    have h2 := hSymP 2 0
    rw [hP 2 0, hP 0 2] at h2
    simp only [ha, mul_zero, add_zero, zero_add] at h2
    -- h1: b + e = c + f
    -- h2: 2b + 4e = 2c + 4f
    -- From h2: b + 2e = c + 2f
    -- Subtracting h1: e = f
    -- So b = c
    linarith
  have he_f : e = f := by
    have h1 := hSymP 1 0
    have h2 := hSymP 2 0
    rw [hP 1 0, hP 0 1] at h1
    rw [hP 2 0, hP 0 2] at h2
    simp only [ha, mul_zero, mul_one, add_zero, zero_add] at h1 h2
    linarith

  -- Now P(0, v) = c*v + f*v^2 (using a=0, b=c, e=f).
  -- And P(0, F y) = 2 * F y.
  -- So c*(F y) + f*(F y)^2 = 2*(F y).
  -- (c - 2)*(F y) + f*(F y)^2 = 0.
  -- This must hold for all y > 0.
  -- Since F is non-trivial, there exists y such that F y ≠ 0.
  obtain ⟨y0, hy0_pos, hy0_ne⟩ := hNonTriv
  have hc_2 : c = 2 ∧ f = 0 := by
    -- Let k = F y0 (a nonzero value in the range).
    let k : ℝ := F y0
    have hk_ne : k ≠ 0 := by
      -- hy0_ne : F y0 ≠ 0
      simpa [k] using hy0_ne

    -- The polynomial identity on the range: (c - 2) * F(y) + f * (F(y))^2 = 0.
    have poly_identity : ∀ y : ℝ, 0 < y → (c - 2) * (F y) + f * (F y)^2 = 0 := by
      intro y hy
      have h := hP0 y hy
      rw [hP 0 (F y)] at h
      simp [ha, hb_c, he_f] at h
      linarith

    -- Use IVT to find y1 with F y1 = k/2 (since F(1)=0 and F(y0)=k).
    have hF1 : F 1 = 0 := hNorm
    have hInterval_pos : Set.uIcc 1 y0 ⊆ Set.Ioi 0 := by
      intro x hx
      rcases hx with ⟨hx_lo, _hx_hi⟩
      have hmin_pos : 0 < min 1 y0 := lt_min one_pos hy0_pos
      exact lt_of_lt_of_le hmin_pos hx_lo
    have hContInterval : ContinuousOn F (Set.uIcc 1 y0) :=
      hCont.mono hInterval_pos
    have h1_mem : 1 ∈ Set.uIcc 1 y0 := Set.left_mem_uIcc
    have hy0_mem : y0 ∈ Set.uIcc 1 y0 := Set.right_mem_uIcc
    have hk2_in_image : k / 2 ∈ F '' Set.uIcc 1 y0 := by
      have hPreconn := isPreconnected_uIcc (a := 1) (b := y0)
      by_cases hk : 0 ≤ k
      · -- monotone direction: 0 ≤ k, so k/2 ∈ Icc 0 k
        have hIVT : Set.Icc 0 k ⊆ F '' Set.uIcc 1 y0 := by
          simpa [hF1, k] using hPreconn.intermediate_value h1_mem hy0_mem hContInterval
        have hk2_between : k / 2 ∈ Set.Icc 0 k := by
          constructor <;> linarith
        exact hIVT hk2_between
      · -- reverse direction: k < 0, so k/2 ∈ Icc k 0
        have hk_lt : k < 0 := lt_of_not_ge hk
        have hIVT : Set.Icc k 0 ⊆ F '' Set.uIcc 1 y0 := by
          simpa [hF1, k] using hPreconn.intermediate_value hy0_mem h1_mem hContInterval
        have hk2_between : k / 2 ∈ Set.Icc k 0 := by
          constructor <;> linarith
        exact hIVT hk2_between
    obtain ⟨y1, hy1_mem, hFy1⟩ := hk2_in_image
    have hy1_pos : 0 < y1 := hInterval_pos hy1_mem

    -- Evaluate the polynomial identity at y0 and y1, then solve for c and f.
    have h_y0 : (c - 2) * k + f * k^2 = 0 := by
      have h := poly_identity y0 hy0_pos
      simpa [k] using h
    have h_y1 : (c - 2) * (k / 2) + f * (k / 2)^2 = 0 := by
      have h := poly_identity y1 hy1_pos
      -- rewrite F y1 = k/2
      simpa [hFy1, k] using h

    -- Multiply the y1 equation by 4 to align it with the y0 equation.
    have h_y1_4 : 2 * (c - 2) * k + f * k^2 = 0 := by
      have h' := congrArg (fun z => 4 * z) h_y1
      -- simplify 4*(...) and 4*0
      ring_nf at h'
      -- `ring_nf` chooses its own normal form; bridge to our preferred one.
      have hrew : c * k * 2 - k * 4 + k ^ 2 * f = 2 * (c - 2) * k + f * k ^ 2 := by ring
      -- h' : c*k*2 - k*4 + k^2*f = 0
      calc
        2 * (c - 2) * k + f * k ^ 2
            = c * k * 2 - k * 4 + k ^ 2 * f := by simpa [hrew] using (Eq.symm hrew)
        _ = 0 := h'

    -- Subtract to get (c - 2) * k = 0, hence c = 2 (since k ≠ 0).
    have hk_mul : (c - 2) * k = 0 := by
      linarith [h_y0, h_y1_4]
    have hc : c = 2 := by
      rcases mul_eq_zero.mp hk_mul with hc0 | hk0
      · linarith
      · exact False.elim (hk_ne hk0)

    -- Plug back to get f = 0.
    have hf : f = 0 := by
      have hk2_ne : k^2 ≠ 0 := pow_ne_zero 2 hk_ne
      have hfk2 : f * k^2 = 0 := by
        -- from h_y0 with c=2
        simpa [hc] using h_y0
      rcases mul_eq_zero.mp hfk2 with hf0 | hk20
      · exact hf0
      · exact False.elim (hk2_ne hk20)

    exact ⟨hc, hf⟩

  have hc : c = 2 := hc_2.1
  have hf : f = 0 := hc_2.2
  have hb : b = 2 := by rw [hb_c, hc]
  have he : e = 0 := by rw [he_f, hf]

  -- So P(u, v) = 2u + 2v + d*u*v.
  use d
  constructor
  · intro u v
    rw [hP, ha, hb, hc, he, hf]
    ring
  · intro hd u v
    rw [hP, ha, hb, hc, he, hf, hd]
    ring

What this page does not claim

The declaration does not determine the value of the constant c, which remains a free parameter at this stage. The declaration does not prove the uniqueness of the cost function itself, only the form of the polynomial combiner. The declaration does not require the cost function to be continuous or smooth; that is a separate assumption in the larger theorem.

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/Foundation/DAlembert/Inevitability.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.

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