OAI/Combinatorics/GotsmanLinial/Statement.lean
20 declarations, 0 contain sorry, 0 declared as axioms
- theorem
OAI.LeanBlast.GotsmanLinial.flip_apply_sameline 9 - theorem
OAI.LeanBlast.GotsmanLinial.flip_apply_neline 13 - theorem
OAI.LeanBlast.GotsmanLinial.flip_flipline 17 - theorem
OAI.LeanBlast.GotsmanLinial.flip_ne_selfline 25 - theorem
OAI.LeanBlast.GotsmanLinial.flip_injective_directionline 30 - theorem
OAI.LeanBlast.GotsmanLinial.flip_involutiveline 37 - theorem
OAI.LeanBlast.GotsmanLinial.flip_bijectiveline 40 - theorem
OAI.LeanBlast.GotsmanLinial.cubeCoord_flip_sameline 43 - theorem
OAI.LeanBlast.GotsmanLinial.cubeCoord_flip_neline 47 - theorem
OAI.LeanBlast.GotsmanLinial.cubeCoord_casesline 51 - theorem
OAI.LeanBlast.GotsmanLinial.cubeCoord_sqline 55 - theorem
OAI.LeanBlast.GotsmanLinial.thresholdSign_zeroline 59 - theorem
OAI.LeanBlast.GotsmanLinial.thresholdSign_eq_one_iffline 62 - theorem
OAI.LeanBlast.GotsmanLinial.thresholdSign_eq_neg_one_iffline 67 - theorem
OAI.LeanBlast.GotsmanLinial.thresholdSign_casesline 72 - theorem
OAI.LeanBlast.GotsmanLinial.thresholdSign_sqline 76 - theorem
OAI.LeanBlast.GotsmanLinial.card_cubeline 79 - def
OAI.LeanBlast.GotsmanLinial.cubeEquivSignVectorsline 83Source documentation
The Boolean encoding represents every sign vector exactly once.
noncomputable def cubeEquivSignVectors (n : ℕ) : Cube n ≃ {x : Fin n → ℝ // ∀ i, x i = 1 ∨ x i = -1} := by …Mentions: OAI.LeanBlast.GotsmanLinial.Cube
- theorem
OAI.LeanBlast.GotsmanLinial.averageSensitivity_eq_countline 100 - theorem
OAI.LeanBlast.GotsmanLinial.averageSensitivity_eq_uniformline 104