Download lean/OAI/Probability/FreeIsing/Estimates/FiniteChain.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/FreeIsing/Estimates/FiniteChain.lean
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hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/FreeIsing/Estimates/FiniteChain.lean
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curl -L -o FiniteChain.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/FreeIsing/Estimates/FiniteChain.lean
3.29 kB
| import Mathlib | |
| namespace OAI | |
| namespace Problem367.FiniteChain | |
| variable {A : Type*} | |
| def weight (K : A → A → ℝ) : (n : ℕ) → A → (Fin n → A) → ℝ | |
| | 0, _, _ => 1 | |
| | n + 1, a, x => K a (x 0) * weight K n (x 0) (Fin.tail x) | |
| def endpoint : (n : ℕ) → A → (Fin n → A) → A | |
| | 0, a, _ => a | |
| | n + 1, _, x => endpoint n (x 0) (Fin.tail x) | |
| @[simp] theorem weight_zero (K : A → A → ℝ) (a : A) (x : Fin 0 → A) : | |
| weight K 0 a x = 1 := rfl | |
| @[simp] theorem endpoint_zero (a : A) (x : Fin 0 → A) : | |
| endpoint 0 a x = a := rfl | |
| @[simp] theorem weight_cons (K : A → A → ℝ) (n : ℕ) (a b : A) (x : Fin n → A) : | |
| weight K (n + 1) a (Fin.cons b x) = K a b * weight K n b x := by | |
| simp [weight] | |
| @[simp] theorem endpoint_cons (n : ℕ) (a b : A) (x : Fin n → A) : | |
| endpoint (n + 1) a (Fin.cons b x) = endpoint n b x := by | |
| simp [endpoint] | |
| theorem weight_eq_prod (K : A → A → ℝ) (n : ℕ) (a : A) (x : Fin n → A) : | |
| weight K n a x = ∏ i : Fin n, K ((Fin.cons a x : Fin (n+1) → A) i.castSucc) (x i) := by | |
| induction n generalizing a with | |
| | zero => simp | |
| | succ n ih => | |
| rw [weight, Fin.prod_univ_succ, ih] | |
| simp [Fin.tail] | |
| theorem endpoint_eq_last (n : ℕ) (a : A) (x : Fin n → A) : | |
| endpoint n a x = (Fin.cons a x : Fin (n+1) → A) (Fin.last n) := by | |
| induction n generalizing a with | |
| | zero => rfl | |
| | succ n ih => | |
| rw [endpoint, ih] | |
| simp | |
| theorem weight_nonneg (K : A → A → ℝ) (hK : ∀ a b, 0 ≤ K a b) | |
| (n : ℕ) (a : A) (x : Fin n → A) : 0 ≤ weight K n a x := by | |
| induction n generalizing a with | |
| | zero => simp | |
| | succ n ih => exact mul_nonneg (hK _ _) (ih _ _) | |
| variable [Fintype A] | |
| theorem sum_cons (n : ℕ) (f : (Fin (n+1) → A) → ℝ) : | |
| ∑ x, f x = ∑ a, ∑ x : Fin n → A, f (Fin.cons a x) := by | |
| rw [← (Fin.consEquiv (fun _ : Fin (n+1) => A)).sum_comp f] | |
| rw [Fintype.sum_prod_type] | |
| rfl | |
| def expectation (K : A → A → ℝ) (n : ℕ) (f : A → ℝ) (a : A) : ℝ := | |
| ∑ x : Fin n → A, weight K n a x * f (endpoint n a x) | |
| @[simp] theorem expectation_zero (K : A → A → ℝ) (f : A → ℝ) (a : A) : | |
| expectation K 0 f a = f a := by | |
| simp [expectation] | |
| theorem expectation_succ (K : A → A → ℝ) (n : ℕ) (f : A → ℝ) (a : A) : | |
| expectation K (n+1) f a = ∑ b, K a b * expectation K n f b := by | |
| unfold expectation | |
| rw [sum_cons] | |
| simp only [weight_cons, endpoint_cons, mul_assoc, Finset.mul_sum] | |
| theorem expectation_eigenfunction (K : A → A → ℝ) (f : A → ℝ) (r : ℝ) | |
| (hf : ∀ a, ∑ b, K a b * f b = r * f a) (n : ℕ) (a : A) : | |
| expectation K n f a = r^n * f a := by | |
| induction n generalizing a with | |
| | zero => simp | |
| | succ n ih => | |
| rw [expectation_succ] | |
| simp_rw [ih] | |
| calc | |
| ∑ b, K a b * (r ^ n * f b) = r ^ n * ∑ b, K a b * f b := by | |
| rw [Finset.mul_sum] | |
| apply Finset.sum_congr rfl | |
| intro b hb | |
| ring | |
| _ = r ^ (n+1) * f a := by rw [hf, pow_succ]; ring | |
| theorem sum_weight (K : A → A → ℝ) (hK : ∀ a, ∑ b, K a b = 1) | |
| (n : ℕ) (a : A) : ∑ x : Fin n → A, weight K n a x = 1 := by | |
| have h := expectation_eigenfunction K (fun _ => 1) 1 (by simpa using hK) n a | |
| simpa [expectation] using h | |
| end Problem367.FiniteChain | |
| end OAI | |