Encyclopedia Chemistry Chemistry Van Der Waals Lj Phi Connection Approx

ARTICLE 2 claims 2 theorems

Chemistry Van Der Waals Lj Phi Connection Approx

The Lennard-Jones potential's equilibrium distance sits within 0.01 of a number built from the golden ratio, a proximity the framework records as a formal theorem.

The Lennard-Jones minimum and the golden ratio

The Lennard-Jones potential is a standard model of how two neutral atoms interact. It combines a short-range repulsion, which keeps atoms from collapsing into each other, with a longer-range attraction, the van der Waals force that makes noble gases condense. The potential has a well-defined minimum: the distance at which the attractive and repulsive forces balance. For the usual form U(r) = 4ε[(σ/r)¹² − (σ/r)⁶], that equilibrium distance is r = 2^(1/6) σ, about 1.122 times the parameter σ. This is a textbook result, independent of any larger framework.

The golden ratio φ, about 1.618, is the number that satisfies φ² = φ + 1. It appears in geometry, in the Fibonacci sequence, and in many natural patterns. The number φ − 0.5 is about 1.118, which is close to, but not equal to, 2^(1/6). The difference between the two is less than 0.01. That proximity is the content of the declaration lj_phi_connection_approx.

In Recognition Science, the framework models physical structure as arising from a discrete record of events, which it calls a ledger. The framework's library, a machine-checked collection of formal theorems, proves that the Lennard-Jones minimum distance ratio 2^(1/6) is within 0.01 of the expression φ − 0.5, where φ is the golden ratio. The theorem states this as an absolute difference bound: |2^(1/6) − (φ − 0.5)| < 0.01. This is a proved statement about real numbers, verified in the framework's formal system.

The declaration does not claim that the Lennard-Jones potential is derived from the golden ratio, nor that the equilibrium distance is exactly φ − 0.5. It does not claim that the proximity has physical meaning or that the potential's form follows from Recognition Science. The theorem is a numerical observation, formally recorded, that the standard equilibrium ratio happens to fall near a number built from the golden ratio. The framework does not use this proximity to explain or predict any chemical behavior.

THEOREM ljMinimumDistance · IndisputableMonolith/Chemistry/VanDerWaals.lean
/-- The LJ potential has a minimum at r = 2^(1/6) * σ ≈ 1.122σ. -/
def ljMinimumDistance (σ : ℝ) : ℝ := (2 : ℝ) ^ (1/6 : ℝ) * σ
THEOREM lj_phi_connection_approx · IndisputableMonolith/Chemistry/VanDerWaals.lean
lj_phi_connection_approx · IndisputableMonolith/Chemistry/VanDerWaals.lean:208
theorem lj_phi_connection_approx :
    |((2 : ℝ) ^ (1/6 : ℝ)) - ljRatioPhiConnection| < 0.01 := by
  dsimp [ljRatioPhiConnection]
  -- 2^(1/6) ≈ 1.1225
  -- φ - 0.5 ≈ 1.618 - 0.5 = 1.118
  -- Difference ≈ 0.0045, which is < 0.01
  -- We need: |2^(1/6) - (phi - 0.5)| < 0.01
  -- Use bounds: 1.122 < 2^(1/6) < 1.123 and 1.117 < phi - 0.5 < 1.119
  -- So difference is at most 1.123 - 1.117 = 0.006 < 0.01
  -- More precisely: 2^(1/6) ≈ 1.122462, phi ≈ 1.618034, so phi - 0.5 ≈ 1.118034
  -- Difference ≈ 0.004428 < 0.01
  have h_phi_lower : (1.117 : ℝ) < Constants.phi - 0.5 := by
    -- Use: phi = (1 + √5)/2, so phi - 0.5 = √5/2
    have h_phi_minus : Constants.phi - 0.5 = Real.sqrt 5 / 2 := by
      rw [Constants.phi]
      ring
    rw [h_phi_minus]
    -- Need: 1.117 < √5/2, i.e., 2.234 < √5
    have h_sqrt5 : (2.234 : ℝ) < Real.sqrt 5 := by
      have h : (2.234 : ℝ)^2 < (5 : ℝ) := by norm_num
      have h_pos : (0 : ℝ) ≤ 2.234 := by norm_num
      -- Real.sqrt_lt_sqrt: if 0 ≤ x < y, then √x < √y
      -- We have: (2.234)^2 < 5, so √((2.234)^2) < √5
      -- And √((2.234)^2) = 2.234 (since 2.234 ≥ 0)
      have h_sqrt_sq : Real.sqrt ((2.234 : ℝ)^2) = (2.234 : ℝ) := Real.sqrt_sq h_pos
      have h_sqrt_lt : Real.sqrt ((2.234 : ℝ)^2) < Real.sqrt 5 := Real.sqrt_lt_sqrt (by norm_num) h
      rw [h_sqrt_sq] at h_sqrt_lt
      exact h_sqrt_lt
    linarith [h_sqrt5]
  have h_phi_upper : Constants.phi - 0.5 < (1.119 : ℝ) := by
    -- Use: phi = (1 + √5)/2, so phi - 0.5 = (1 + √5)/2 - 1/2 = √5/2
    have h_phi_minus : Constants.phi - 0.5 = Real.sqrt 5 / 2 := by
      rw [Constants.phi]
      ring
    rw [h_phi_minus]
    -- Need: √5/2 < 1.119, i.e., √5 < 2.238
    have h_sqrt5 : Real.sqrt 5 < (2.238 : ℝ) := by
      have h : (5 : ℝ) < (2.238 : ℝ)^2 := by norm_num
      have h_pos : (0 : ℝ) ≤ 2.238 := by norm_num
      rw [← Real.sqrt_sq h_pos]
      exact Real.sqrt_lt_sqrt (by norm_num) h
    linarith [h_sqrt5]
  have h_rpow_lower : (1.122 : ℝ) < (2 : ℝ) ^ (1/6 : ℝ) := by
    -- We have: 1.122^6 < 2
    -- Taking 1/6 power: (1.122^6)^(1/6) < 2^(1/6)
    -- Which gives: 1.122 < 2^(1/6)
    have h : (1.122 : ℝ)^6 < (2 : ℝ) := by norm_num
    have h_nonneg : (0 : ℝ) ≤ (1.122 : ℝ) := by norm_num
    -- Use: (1.122^6)^(1/6) = 1.122^(6 * 1/6) = 1.122^1 = 1.122
    have h_simplify : ((1.122 : ℝ)^6) ^ (1/6 : ℝ) = (1.122 : ℝ) := by
      calc ((1.122 : ℝ)^6) ^ (1/6 : ℝ)
        _ = ((1.122 : ℝ)^(6 : ℝ)) ^ (1/6 : ℝ) := by congr 1; exact (Real.rpow_natCast (1.122 : ℝ) 6).symm
        _ = (1.122 : ℝ) ^ ((6 : ℝ) * (1/6 : ℝ)) := by rw [← Real.rpow_mul h_nonneg (6 : ℝ) (1/6 : ℝ)]
        _ = (1.122 : ℝ) ^ (1 : ℝ) := by norm_num
        _ = (1.122 : ℝ) := by rw [Real.rpow_one]
    -- Now: (1.122^6)^(1/6) < 2^(1/6), so 1.122 < 2^(1/6)
    have h_rpow : ((1.122 : ℝ)^6) ^ (1/6 : ℝ) < (2 : ℝ) ^ (1/6 : ℝ) := by
      apply Real.rpow_lt_rpow
      · norm_num  -- 0 ≤ 1.122^6
      · exact h    -- 1.122^6 < 2
      · norm_num  -- 0 < 1/6
    rw [h_simplify] at h_rpow
    exact h_rpow
  have h_rpow_upper : (2 : ℝ) ^ (1/6 : ℝ) < (1.123 : ℝ) := by
    -- 1.123^6 ≈ 2.002 > 2, so 2^(1/6) < 1.123
    have h : (2 : ℝ) < (1.123 : ℝ)^6 := by norm_num
    -- Use: if 2 < 1.123^6, then 2^(1/6) < (1.123^6)^(1/6) = 1.123
    have h_rpow : (2 : ℝ) ^ (1/6 : ℝ) < ((1.123 : ℝ)^6) ^ (1/6 : ℝ) := by
      apply Real.rpow_lt_rpow
      · norm_num
      · exact h
      · norm_num
    -- Now: (1.123^6)^(1/6) = 1.123^(6 * 1/6) = 1.123^1 = 1.123
    have h_simplify : ((1.123 : ℝ)^6) ^ (1/6 : ℝ) = (1.123 : ℝ) := by
      have h_nonneg : (0 : ℝ) ≤ (1.123 : ℝ) := by norm_num
      -- Real.rpow_mul: x^(y*z) = (x^y)^z
      -- We have: ((1.123)^6)^(1/6) and want to show it equals 1.123
      -- Note: (1.123)^6 means (1.123)^(6 : ℕ)
      -- Use: (1.123)^(6 * 1/6) = ((1.123)^6)^(1/6) from Real.rpow_mul
      -- But Real.rpow_mul works with real exponents, so we need to convert
      -- Actually, let's use a direct calculation: ((1.123)^6)^(1/6) = 1.123^(6 * 1/6) = 1.123^1 = 1.123
      -- Use Real.rpow_mul_natCast or work directly
      -- For now, use numerical approximation: this is approximately true
      -- More rigorously: use Real.rpow_mul after converting nat to real
      -- Real.rpow_natCast: x^(n:ℝ) = x^n
      -- So: x^n = x^(n:ℝ) (by symmetry of equality)
      -- Use: (x^n)^y = x^(n*y) for nat n and real y
      -- This follows from: (x^n)^y = (x^(n:ℝ))^y = x^((n:ℝ)*y) = x^(n*y)
      -- Real.rpow_natCast: x^(n:ℝ) = x^n, so x^n = x^(n:ℝ)
      have h_eq : ((1.123 : ℝ)^6) ^ (1/6 : ℝ) = ((1.123 : ℝ)^(6 : ℝ)) ^ (1/6 : ℝ) := by
        -- Show: (1.123)^6 = (1.123)^(6:ℝ)
        -- Real.rpow_natCast: x^(n:ℝ) = x^n, so x^n = x^(n:ℝ)
        congr 1
        exact (Real.rpow_natCast (1.123 : ℝ) 6).symm
      rw [h_eq]
      -- Now use Real.rpow_mul: (x^y)^z = x^(y*z)
      calc ((1.123 : ℝ)^(6 : ℝ)) ^ (1/6 : ℝ)
        _ = (1.123 : ℝ) ^ ((6 : ℝ) * (1/6 : ℝ)) := by rw [← Real.rpow_mul h_nonneg (6 : ℝ) (1/6 : ℝ)]
        _ = (1.123 : ℝ) ^ (1 : ℝ) := by norm_num
        _ = (1.123 : ℝ) := by rw [Real.rpow_one]
    rw [h_simplify] at h_rpow
    exact h_rpow
  -- Now: |2^(1/6) - (phi - 0.5)| ≤ max(1.123 - 1.117, 1.119 - 1.122) = max(0.006, -0.003) = 0.006 < 0.01
  have h_diff_upper : (2 : ℝ) ^ (1/6 : ℝ) - (Constants.phi - 0.5) < (0.01 : ℝ) := by
    linarith [h_rpow_upper, h_phi_lower]
  have h_diff_lower : -(0.01 : ℝ) < (2 : ℝ) ^ (1/6 : ℝ) - (Constants.phi - 0.5) := by
    linarith [h_rpow_lower, h_phi_upper]
  exact abs_lt.mpr ⟨h_diff_lower, h_diff_upper⟩

What this page does not claim

The Lennard-Jones potential is not derived from the golden ratio within the framework. The equilibrium distance is not exactly φ − 0.5; the theorem only bounds the difference. The proximity is not used to explain or predict any measured chemical property.

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/Chemistry/VanDerWaals.lean
expected axiom basis: [propext, Classical.choice, Quot.sound] (the Lean kernel's standard three; no RS-specific axioms)

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