openAI-math-dataset / lean /OAI /Combinatorics /ExpectationThreshold /SelectorDefinitionsLemmas.lean
Download lean/OAI/Combinatorics/ExpectationThreshold/SelectorDefinitionsLemmas.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 605 Bytes
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/ExpectationThreshold/SelectorDefinitionsLemmas.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Combinatorics/ExpectationThreshold/SelectorDefinitionsLemmas.lean
-
curl -L -o SelectorDefinitionsLemmas.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/ExpectationThreshold/SelectorDefinitionsLemmas.lean
605 Bytes
| import OAI.Combinatorics.ExpectationThreshold.SelectorDefinitions | |
| namespace OAI | |
| /-! Elementary bounds on the literal truncation scales. -/ | |
| namespace TalagrandThreshold.Selector | |
| theorem dscale_pos {s : ℕ} (i : Fin s) : 0 < dscale i := by | |
| exact inv_pos.mpr (pow_pos (by norm_num : (0 : ℝ) < 2) _) | |
| theorem dscale_nonneg {s : ℕ} (i : Fin s) : 0 ≤ dscale i := | |
| (dscale_pos i).le | |
| theorem dscale_lt_one {s : ℕ} (i : Fin s) : dscale i < 1 := by | |
| exact inv_lt_one_of_one_lt₀ | |
| (one_lt_pow₀ (by norm_num : (1 : ℝ) < 2) (Nat.succ_ne_zero i.val)) | |
| end TalagrandThreshold.Selector | |
| end OAI | |