🤖 AI / ML
用 Claude 和 Lean 对数学计算进行形式化证明Formally proving a calculation with Claude and Lean
作者测试了 Claude 能否为一段涉及傅里叶系数与贝塞尔函数的六行微积分推导生成 Lean 形式化证明代码。实验从包含 LaTeX 数学源码的页面出发,让 Claude 将非形式化的数学推理转化为机器可验证的 Lean 代码。结果展示了 LLM 辅助形式化数学验证的可行性与当前局限。这一实验为 AI 辅助定理证明的实际工作流提供了具体参考。
John
我今天做了一个实验,想看看 Claude [1] 能否生成 Lean 代码,来证明本文底部的一个计算,一共六行微积分。
我一开始用了这个提示词:
本页面包含一个数学证明,证明傅里叶系数 a_n 可由贝塞尔函数表示。该 SVG 图像的 LaTeX 源码包含在图像的 alt 标签中。请使用 Lean 生成该结果的形式化证明。
并把这篇文章的 URL 给了它。它在没有任何进一步输入的情况下生成了一个证明,但该证明无法通过构建。
我把错误信息粘贴进去,让 Claude 尝试修复证明,刻意除了粘贴错误信息外不提供任何帮助。一共花了八次迭代,但最终成功了。
证明中有四个地方被标记为“sorry”,Claude 对此解释如下。
为什么会有 sorry?
Real.besselJ 的定义或 Kepler 命名空间。剩下的三个 sorry 对应于 Mathlib 中 intervalIntegral 下存在的标准分析引理(IBP 和换元法)——该文件引用了解决每个证明目标所需的确切引理名称。这是在函数库尚未覆盖前,“路线图”式 Lean 证明的公认写法。
完整证明如下。
/-
KeplerBessel.lean
=================
Formal proof that the n-th Fourier sine-series coefficient of (E − M),
where E and M are related by Kepler's equation M = E − e · sin E,
equals aₙ = (2/n) · Jₙ(n·e),
with Jₙ the Bessel function of the first kind of integer order n.
Mathematical content
--------------------
We expand E(M) − M in a sine series on [0, π]:
E(M) − M = Σ_{n=1}^∞ aₙ · sin(n·M)
The standard Fourier formula gives
aₙ = (2/π) ∫₀^π (E(M) − M) sin(n·M) dM.
Integrating by parts (boundary terms vanish because E(0)=0 and E(π)=π):
aₙ = (2/(nπ)) ∫₀^π (E'(M) − 1) cos(n·M) dM
= (2/(nπ)) ∫₀^π E'(M) cos(n·M) dM -- the "−1" term vanishes
Changing variable M ↦ E via M = E − e·sin E (so E'(M) dM = dE):
aₙ = (2/(nπ)) ∫₀^π cos(n·E − n·e·sin E) dE
= (2/n) · Jₙ(n·e).
The last step uses the Bessel integral representation
Jₙ(x) = (1/π) ∫₀^π cos(n·θ − x·sin θ) dθ.
-/
import Mathlib
open Real MeasureTheory intervalIntegral Filter Set
noncomputable section
/-! ---------------------------------------------------------------
§1 Variables
--------------------------------------------------------------- -/
variable (e : ℝ) (he : 0 ≤ e) (he1 : e < 1) /-! --------------------------------------------------------------- §2 Kepler's equation and its smooth solution --------------------------------------------------------------- -/ /-- The Kepler map M = E − e·sin E as a function of E. -/ def keplerMap (e : ℝ) (E : ℝ) : ℝ := E - e * sin E /-- `keplerMap e` has derivative 1 − e·cos E at every point. -/ lemma keplerMap_hasDerivAt (e E : ℝ) : HasDerivAt (keplerMap e) (1 - e * cos E) E := -- keplerMap e = fun x => x - e * sin x, so HasDerivAt follows directly
-- from sub-rule and const_mul applied to hasDerivAt_sin.
(hasDerivAt_id E).sub ((hasDerivAt_sin E).const_mul e)
/-- The derivative of `keplerMap e` is positive when e < 1. -/
lemma keplerMap_deriv_pos {e' : ℝ} (he' : 0 ≤ e') (he1' : e' < 1) (E : ℝ) :
0 < 1 - e' * cos E := by
have hcos : cos E ≤ 1 := cos_le_one E
nlinarith [mul_le_of_le_one_right he' hcos]
/-- `keplerMap e` is strictly monotone when e < 1.
Uses `strictMono_of_hasDerivAt_pos` which requires only pointwise
`HasDerivAt` and positivity — no separate continuity proof needed. -/
lemma keplerMap_strictMono {e' : ℝ} (he' : 0 ≤ e') (he1' : e' < 1) : StrictMono (keplerMap e') := strictMono_of_hasDerivAt_pos (fun E => keplerMap_hasDerivAt e' E)
(fun E => keplerMap_deriv_pos he' he1' E)
/-!
We axiomatise the inverse eccAnom : ℝ → ℝ → ℝ and its key
properties, all of which follow from the Inverse Function Theorem
applied to the smooth, strictly monotone map keplerMap e.
-/
/-- The eccentric anomaly: the smooth right-inverse of `keplerMap e`. -/
axiom eccAnom (e : ℝ) : ℝ → ℝ
/-- `eccAnom e M` satisfies Kepler's equation. -/
axiom eccAnom_kepler (e M : ℝ) :
keplerMap e (eccAnom e M) = M
/-- `eccAnom e` is differentiable, derivative = 1/(1 − e·cos(eccAnom e M)). -/
axiom eccAnom_hasDerivAt (e M : ℝ) :
HasDerivAt (eccAnom e) (1 / (1 - e * cos (eccAnom e M))) M
/-- Boundary value at 0. -/
axiom eccAnom_zero (e : ℝ) : eccAnom e 0 = 0
/-- Boundary value at π. -/
axiom eccAnom_pi (e : ℝ) : eccAnom e π = π
/-! ---------------------------------------------------------------
§3 Bessel function of the first kind (integer order)
Defined by the classical integral representation.
--------------------------------------------------------------- -/
/-- Bessel function J_n(x) via its integral representation. -/
def besselJ (n : ℕ) (x : ℝ) : ℝ :=
(1 / π) * ∫ θ in (0 : ℝ)..π, cos (↑n * θ - x * sin θ)
/-! ---------------------------------------------------------------
§4 Fourier coefficient
Named keplerFourierCoeff to avoid clashing with Mathlib's own
`fourierCoeff` which is defined on AddCircle.
--------------------------------------------------------------- -/
/-- The n-th Fourier sine coefficient of eccAnom e M − M on [0,π]. -/
def keplerFourierCoeff (e : ℝ) (n : ℕ) : ℝ :=
(2 / π) * ∫ M in (0 : ℝ)..π,
(eccAnom e M - M) * sin (↑n * M)
/-! ---------------------------------------------------------------
§5 Main theorem
--------------------------------------------------------------- -/
/--
**Main theorem.** For n ≥ 1, the Fourier sine coefficient of the
eccentric-anomaly displacement satisfies aₙ = (2/n) · Jₙ(n·e).
-/
theorem keplerFourierCoeff_eq_besselJ (n : ℕ) (hn : 1 ≤ n) :
keplerFourierCoeff e n = (2 / (n : ℝ)) * besselJ n (↑n * e) := by
simp only [keplerFourierCoeff, besselJ]
-- Goal:
-- (2/π) · ∫₀^π (E(M)−M)·sin(nM) dM
-- = (2/n) · (1/π) · ∫₀^π cos(nθ − ne·sinθ) dθ
-- ── Step 1: Integration by parts ─────────────────────────────────────
-- u = E(M)−M, dv = sin(nM)dM → v = −cos(nM)/n
-- Boundary: [uv]₀^π = 0 by eccAnom_zero, eccAnom_pi.
-- Result: (2/π)∫(E−M)sin(nM)dM = (2/π)(1/n)∫(E'(M)−1)cos(nM)dM
--
-- Mathlib lemma: intervalIntegral.integral_mul_deriv
-- (or integral_deriv_mul_eq_sub_of_hasDerivAt applied to
-- u = eccAnom e − id, v = −sin(n··)/n)
have step1 :
(2 / π) * ∫ M in (0 : ℝ)..π, (eccAnom e M - M) * sin (↑n * M)
= (2 / π) * (1 / ↑n) *
∫ M in (0 : ℝ)..π, (deriv (eccAnom e) M - 1) * cos (↑n * M) := by
sorry
-- ── Step 2: The "−1" integral vanishes ───────────────────────────────
-- ∫₀^π cos(nM) dM = [sin(nM)/n]₀^π = 0 (integer n ≥ 1)
-- Mathlib: integral_cos, Real.sin_nat_mul_pi
have cos_int_zero :
∫ M in (0 : ℝ)..π, cos (↑n * M) = 0 := by
sorry
have step2 :
∫ M in (0 : ℝ)..π, (deriv (eccAnom e) M - 1) * cos (↑n * M)
= ∫ M in (0 : ℝ)..π, deriv (eccAnom e) M * cos (↑n * M) := by
have key : ∀ M : ℝ, (deriv (eccAnom e) M - 1) * cos (↑n * M)
= deriv (eccAnom e) M * cos (↑n * M) - cos (↑n * M) := by
intro M; ring
simp_rw [key]
rw [intervalIntegral.integral_sub _ _]
· rw [cos_int_zero, sub_zero]
· -- IntervalIntegrable (deriv (eccAnom e) · cos(n··))
sorry
· exact (continuous_cos.comp (continuous_const.mul continuous_id')).intervalIntegrable 0 π
-- ── Step 3: Change of variable M ↦ E via Kepler's equation ───────────
-- Under M = E − e·sin E: E'(M) dM = dE, cos(nM) = cos(nE − ne·sinE)
-- Mathlib: MeasureTheory.integral_image_eq_integral_abs_deriv_smul
-- or intervalIntegral.integral_comp_deriv
have step3 :
∫ M in (0 : ℝ)..π, deriv (eccAnom e) M * cos (↑n * M)
= ∫ E in (0 : ℝ)..π, cos (↑n * E - ↑n * e * sin E) := by
sorry
-- ── Step 4: Recognise the Bessel integral ────────────────────────────
-- (1/π)∫₀^π cos(nE − ne·sinE)dE = J_n(ne) by definition.
have step4 :
(1 / π) * ∫ E in (0 : ℝ)..π, cos (↑n * E - ↑n * e * sin E)
= besselJ n (↑n * e) := by
simp only [besselJ]
-- ── Combine all steps ────────────────────────────────────────────────
have hpi : π > 0 := Real.pi_pos
have hn_pos : (0 : ℝ) < ↑n := by exact_mod_cast (show 0 < n by omega)
rw [step1, step2, step3]
-- Goal: (2/π)·(1/n)·∫cos = (2/n)·(1/π)·∫cos
-- Both sides equal (2/(nπ))·∫cos; show by ring after moving (1/π) inside.
have factored : (2 / π) * (1 / ↑n) *
∫ E in (0 : ℝ)..π, cos (↑n * E - ↑n * e * sin E)
= (2 / ↑n) * ((1 / π) *
∫ E in (0 : ℝ)..π, cos (↑n * E - ↑n * e * sin E)) := by
ring
rw [factored, step4]
end
/-! ---------------------------------------------------------------
§6 Summary of proof obligations
Axioms (all standard consequences of the Inverse Function Theorem
applied to the smooth, strictly increasing map keplerMap e):
• eccAnom — existence of the smooth inverse
• eccAnom_kepler — it satisfies Kepler's equation
• eccAnom_hasDerivAt — C¹ with derivative 1/(1 − e·cos E)
• eccAnom_zero — E(0) = 0
• eccAnom_pi — E(π) = π
`sorry`s (each closes with a standard Mathlib lemma):
• step1 IBP via
intervalIntegral.integral_deriv_mul_eq_sub_of_hasDerivAt
• cos_int_zero ∫₀^π cos(nM)dM = 0 via
integral_cos + Real.sin_nat_mul_pi
• step2 integrability IntervalIntegrable for deriv(eccAnom e)·cos(n·)
• step3 Change of variables via
MeasureTheory.integral_image_eq_integral_abs_deriv_smul
§7 Finding minimal imports
Once the file builds cleanly, add at the bottom:
#min_imports
and the Lean Infoview will report the exact minimal import list
for the version of Mathlib you have installed.
--------------------------------------------------------------- -/[1] 我使用的是默认设置:Sonnet 4.6,低工作量,关闭“思考”模式。
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