Download lean/OAI/Probability/InvariantIsing/Core/FiniteProjectionTrial.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/InvariantIsing/Core/FiniteProjectionTrial.lean
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hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/InvariantIsing/Core/FiniteProjectionTrial.lean
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curl -L -o FiniteProjectionTrial.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/InvariantIsing/Core/FiniteProjectionTrial.lean
2.06 kB
| import OAI.Probability.InvariantIsing.Fields.SpinProjectionEntropy | |
| namespace OAI | |
| /-! A trial measure obtained by pushing canonical spins through a finite | |
| map. The log-partition loss consists of the expected energy loss and the | |
| entropy of the projection. -/ | |
| noncomputable section | |
| open scoped BigOperators | |
| namespace InvariantIsing | |
| theorem log_sum_exp_projection_bound {X Y : Type*} | |
| [Fintype X] [Fintype Y] [Nonempty X] [Nonempty Y] [DecidableEq Y] | |
| (f : X → Y) (H : X → ℝ) (K : Y → ℝ) (C : X → ℝ) | |
| (Z : ℝ) (hZ : 0 < Z) | |
| (hkernel : ∀ y, (∑ x ∈ Finset.univ.filter (fun x => f x = y), | |
| Real.exp (-C x)) ≤ Z) : | |
| Real.log (∑ x, Real.exp (H x)) ≤ Real.log (∑ y, Real.exp (K y)) + | |
| (∑ x, finiteCanonicalWeights H x * (H x - K (f x))) + | |
| (∑ x, finiteCanonicalWeights H x * C x) + Real.log Z := by | |
| let p := finiteCanonicalWeights H | |
| let q := finitePushforwardWeights f p | |
| have htrial := log_sum_exp_ge_trial K q | |
| (finitePushforwardWeights_nonneg f p (fun x => (finiteCanonicalWeights_pos H x).le)) | |
| ((finitePushforwardWeights_sum f p).trans (finiteCanonicalWeights_sum H)) | |
| have he := finite_pushforward_entropy_bound f p C | |
| (finiteCanonicalWeights_pos H) (finiteCanonicalWeights_sum H) Z hZ hkernel | |
| have hcan := log_sum_exp_eq_canonical H | |
| have hav := finitePushforwardWeights_average f p K | |
| have hsub : (∑ x, p x * (H x - K (f x))) = | |
| (∑ x, p x * H x) - ∑ x, p x * K (f x) := by | |
| simp_rw [mul_sub] | |
| rw [Finset.sum_sub_distrib] | |
| change Real.log (∑ x, Real.exp (H x)) ≤ _ | |
| change Real.log (∑ x, Real.exp (H x)) = (∑ x, p x * H x) + finiteShannonEntropy p at hcan | |
| change (∑ y, q y * K y) = ∑ x, p x * K (f x) at hav | |
| change finiteShannonEntropy p - finiteShannonEntropy q ≤ _ at he | |
| change _ ≤ Real.log (∑ y, Real.exp (K y)) at htrial | |
| change Real.log (∑ x, Real.exp (H x)) ≤ Real.log (∑ y, Real.exp (K y)) + | |
| (∑ x, p x * (H x - K (f x))) + (∑ x, p x * C x) + Real.log Z | |
| rw [hsub] | |
| linarith | |
| end InvariantIsing | |
| end | |
| end OAI | |