Yamaguchi26AbfaithfulGalois.mixed_characteristic_properties_3_6
Published library source ↗Same source in NYLL ↗
theorem mixed_characteristic_properties_3_6
(K : Type u) [Field K] [CharZero K]
(base : DVF.{u, v} K) (p : ℕ) [Fact p.Prime]
[CharP base.residueField p] :
(∀ (L : Type u) [Field L] [Algebra K L]
[FiniteDimensional K L] [IsGalois K L],
∀ τ : Gal(L/K),
(∀ z : abelianModPower Gal(AlgebraicClosure L/L) p,
relativeGaloisAbelianModPowerTransform K L p τ z = z) → τ = 1) ∧
IsSigmaAbFaithful {p} Gal(AlgebraicClosure K/K)In-scope Lean context
namespace Yamaguchi26AbfaithfulGalois
open KummerTheory ValuationTheory.DiscreteValuationField ProCGroups.Abelian
open ProCGroups.FiniteStepSolvableQuotients
universe u vFull declaration and proof
/-- For each finite Galois extension of a mixed-characteristic discretely
valued field, the conjugation action on the mod-`p` abelianization is
faithful. Consequently its absolute Galois group is `p`-ab-faithful. -/
theorem mixed_characteristic_properties_3_6
(K : Type u) [Field K] [CharZero K]
(base : DVF.{u, v} K) (p : ℕ) [Fact p.Prime]
[CharP base.residueField p] :
(∀ (L : Type u) [Field L] [Algebra K L]
[FiniteDimensional K L] [IsGalois K L],
∀ τ : Gal(L/K),
(∀ z : abelianModPower Gal(AlgebraicClosure L/L) p,
relativeGaloisAbelianModPowerTransform K L p τ z = z) → τ = 1) ∧
IsSigmaAbFaithful {p} Gal(AlgebraicClosure K/K) := by
have hdetect : ∀ (F E : Type u) [Field F] [Field E] [Algebra F E]
[IsGalois F E] [CharZero F]
(source : DVF.{u,v} F) [CharP source.residueField p]
(r : ℕ) [Fact r.Prime], Module.finrank F E = r →
∃ τ : Gal(E/F), τ ≠ 1 ∧
∃ z : abelianModPower Gal(AlgebraicClosure E/E) p,
relativeGaloisAbelianModPowerTransform F E p τ z ≠ z := by
intro F E _ _ _ _ _ source _ r _ hdegree
exact prime_order_detection_of_mixedChar source p r hdegree
constructor
· intro L _ _ _ _
exact relativeGaloisAbelianModPowerTransform_faithful_of_primeDegree_detection
p hdetect base L
· exact isSigmaAbFaithful_of_primeDegree_detection p hdetect baseSource credits and license
Copyright (c) 2026 Naganori Yamaguchi (https://github.com/n-yamaguchi-0729). All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Naganori Yamaguchi (assisted by OpenAI Codex)