openAI-math-dataset / lean /OAI /Combinatorics /ExpectationThreshold /RoundingProbabilityContradiction.lean
Download lean/OAI/Combinatorics/ExpectationThreshold/RoundingProbabilityContradiction.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 1.57 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/ExpectationThreshold/RoundingProbabilityContradiction.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Combinatorics/ExpectationThreshold/RoundingProbabilityContradiction.lean
-
curl -L -o RoundingProbabilityContradiction.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/ExpectationThreshold/RoundingProbabilityContradiction.lean
1.57 kB
| import OAI.Combinatorics.ExpectationThreshold.ProbabilityFinite | |
| import Mathlib.Tactic.NormNum | |
| namespace OAI | |
| /-! | |
| # The numerical contradiction used in rounding | |
| A nonnegative score bounded below by one quarter on an event of probability | |
| at least nine tenths has expectation at least nine fortieths. | |
| -/ | |
| namespace TalagrandThreshold | |
| variable {Ω : Type*} [Fintype Ω] | |
| theorem expectation_ge_nine_fortieths (μ : FiniteLaw Ω) (P : Ω → Prop) | |
| (Z : Ω → ℝ) (hZ : ∀ ω, 0 ≤ Z ω) (hprob : (9 / 10 : ℝ) ≤ μ.prob P) | |
| (hlower : ∀ ω, P ω → (1 / 4 : ℝ) ≤ Z ω) : | |
| (9 / 40 : ℝ) ≤ μ.expectation Z := by | |
| have hinclusion : μ.prob P ≤ μ.prob (fun ω => (1 / 4 : ℝ) ≤ Z ω) := | |
| μ.prob_mono hlower | |
| have hmarkov := μ.prob_ge_le_expectation_div Z hZ | |
| (by norm_num : (0 : ℝ) < 1 / 4) | |
| have hbound : (9 / 10 : ℝ) ≤ μ.expectation Z / (1 / 4 : ℝ) := | |
| hprob.trans (hinclusion.trans hmarkov) | |
| calc | |
| (9 / 40 : ℝ) = (9 / 10 : ℝ) * (1 / 4 : ℝ) := by norm_num | |
| _ ≤ μ.expectation Z := (le_div_iff₀ (by norm_num : (0 : ℝ) < 1 / 4)).mp hbound | |
| theorem rounding_expectation_contradiction (μ : FiniteLaw Ω) (P : Ω → Prop) | |
| (Z : Ω → ℝ) (hZ : ∀ ω, 0 ≤ Z ω) (hprob : (9 / 10 : ℝ) ≤ μ.prob P) | |
| (hlower : ∀ ω, P ω → (1 / 4 : ℝ) ≤ Z ω) | |
| (hupper : μ.expectation Z ≤ (1 / 10 : ℝ)) : False := by | |
| have h := (expectation_ge_nine_fortieths μ P Z hZ hprob hlower).trans hupper | |
| exact (by norm_num : ¬ ((9 / 40 : ℝ) ≤ 1 / 10)) h | |
| end TalagrandThreshold | |
| end OAI | |