Download lean/OAI/Probability/FreeIsing/Spins/Chain.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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3.85 kB
| import OAI.Probability.FreeIsing.Estimates.FiniteChain | |
| import OAI.Probability.FreeIsing.Spins.Kernel | |
| namespace OAI | |
| noncomputable section | |
| namespace Problem367 | |
| def spinPathWeight (theta : ℝ) (n : ℕ) (x : Fin (n+1) → IsingSpin) : ℝ := | |
| ∏ i : Fin n, transitionKernel theta (x i.castSucc) (x i.succ) | |
| theorem spinPathWeight_cons (theta : ℝ) (n : ℕ) (a : IsingSpin) | |
| (x : Fin n → IsingSpin) : | |
| spinPathWeight theta n (Fin.cons a x) = | |
| FiniteChain.weight (transitionKernel theta) n a x := by | |
| rw [FiniteChain.weight_eq_prod] | |
| simp [spinPathWeight] | |
| theorem spinChain_expectation (theta : ℝ) (n : ℕ) (a : IsingSpin) : | |
| ∑ x : Fin n → IsingSpin, | |
| FiniteChain.weight (transitionKernel theta) n a x * | |
| spinSign (FiniteChain.endpoint n a x) = theta^n * spinSign a := | |
| FiniteChain.expectation_eigenfunction (transitionKernel theta) spinSign theta | |
| (transitionKernel_spinSum theta) n a | |
| theorem spinChain_endpoint_distribution (theta : ℝ) (n : ℕ) (a b : IsingSpin) : | |
| FiniteChain.expectation (transitionKernel theta) n | |
| (fun c => if c = b then 1 else 0) a = transitionKernel (theta^n) a b := by | |
| induction n generalizing a with | |
| | zero => simp | |
| | succ n ih => | |
| rw [FiniteChain.expectation_succ] | |
| simp_rw [ih] | |
| rw [transitionKernel_comp, pow_succ'] | |
| theorem spinPathWeight_endpoints (theta : ℝ) (n : ℕ) (a b : IsingSpin) : | |
| ∑ x : Fin (n+1) → IsingSpin, | |
| (1/2 : ℝ) * spinPathWeight theta n x * | |
| (if x 0 = a ∧ x (Fin.last n) = b then 1 else 0) = | |
| (1/2 : ℝ) * transitionKernel (theta^n) a b := by | |
| rw [FiniteChain.sum_cons] | |
| simp only [spinPathWeight_cons, Fin.cons_zero, ← FiniteChain.endpoint_eq_last] | |
| calc | |
| _ = (1/2 : ℝ) * FiniteChain.expectation (transitionKernel theta) n | |
| (fun c => if c = b then 1 else 0) a := by | |
| rw [FiniteChain.expectation, Finset.mul_sum] | |
| rw [Finset.sum_eq_single a] | |
| · apply Finset.sum_congr rfl | |
| intro x hx | |
| simp only [true_and, mul_assoc] | |
| · intro c hc hca | |
| simp [hca] | |
| · simp | |
| _ = _ := by rw [spinChain_endpoint_distribution] | |
| theorem spinPathWeight_correlation (theta : ℝ) (n : ℕ) : | |
| ∑ x : Fin (n+1) → IsingSpin, | |
| (1/2 : ℝ) * spinPathWeight theta n x * spinSign (x 0) * | |
| spinSign (x (Fin.last n)) = theta^n := by | |
| rw [FiniteChain.sum_cons] | |
| simp only [spinPathWeight_cons, Fin.cons_zero, | |
| ← FiniteChain.endpoint_eq_last] | |
| have hinner (a : IsingSpin) : | |
| (∑ x : Fin n → IsingSpin, | |
| (1/2 : ℝ) * FiniteChain.weight (transitionKernel theta) n a x * spinSign a * | |
| spinSign (FiniteChain.endpoint n a x)) = (1/2 : ℝ) * theta^n := by | |
| calc | |
| _ = (1/2 : ℝ) * spinSign a * | |
| ∑ x : Fin n → IsingSpin, | |
| FiniteChain.weight (transitionKernel theta) n a x * | |
| spinSign (FiniteChain.endpoint n a x) := by | |
| rw [Finset.mul_sum] | |
| apply Finset.sum_congr rfl | |
| intro x hx | |
| ring | |
| _ = (1/2 : ℝ) * theta^n := by | |
| rw [spinChain_expectation] | |
| calc | |
| _ = (1/2 : ℝ) * theta^n * (spinSign a * spinSign a) := by ring | |
| _ = _ := by rw [spinSign_mul_self, mul_one] | |
| simp_rw [hinner] | |
| rw [sum_isingSpin] | |
| ring | |
| theorem spinPathWeight_sum (theta : ℝ) (n : ℕ) : | |
| ∑ x : Fin (n+1) → IsingSpin, (1/2 : ℝ) * spinPathWeight theta n x = 1 := by | |
| rw [FiniteChain.sum_cons] | |
| simp only [spinPathWeight_cons, ← Finset.mul_sum] | |
| simp only [FiniteChain.sum_weight _ (transitionKernel_sum theta)] | |
| rw [sum_isingSpin] | |
| norm_num | |
| theorem spinPathWeight_nonneg {theta : ℝ} (hlo : -1 ≤ theta) (hhi : theta ≤ 1) | |
| (n : ℕ) (x : Fin (n+1) → IsingSpin) : 0 ≤ spinPathWeight theta n x := by | |
| exact Finset.prod_nonneg fun _ _ => transitionKernel_nonneg hlo hhi _ _ | |
| end Problem367 | |
| end | |
| end OAI | |