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
/-- 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.
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 regularity conditions on the cost function are needed to guarantee the bilinear form?
- How does the calibration step fix the constant c to 2?
- What is the full classification of solutions to the resulting d'Alembert equation?
MACHINE LAYER · GROUNDED CLAIM TABLE · CLICK TO EXPAND
THEOREM symmetry_and_normalization_constrain_P · IndisputableMonolith/Foundation/DAlembert/Inevitability.lean
/-- 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) linarithif 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 symmetry_and_normalization_constrain_P · IndisputableMonolith/Foundation/DAlembert/Inevitability.leanTHEOREM 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] ringthe combiner P cannot be arbitrary. It must take the specific form P(u, v) = 2u + 2v + c·uv for some constant c bilinear_family_forced · IndisputableMonolith/Foundation/DAlembert/Inevitability.lean