H HFil of h NSeries
HarderNarasimhan.impl.hHFil_of_hNSeries
Project documentation
Construct a HarderNarasimhanFiltration from a RelSeries. Assuming F1 starts at ⊥, ends at ⊤, and satisfies the strict slope decrease condition expressed using relSeries_step_lt/relSeries_succ_step_lt, we build a HarderNarasimhanFiltration μ whose underlying function agrees with F1.toFun up to F1.length. This is a bridge lemma used when...
Exact Lean statement
lemma hHFil_of_hNSeries {ℒ : Type*} [Nontrivial ℒ] [Lattice ℒ] [BoundedOrder ℒ] [WellFoundedGT ℒ]
{S : Type*} [CompleteLinearOrder S]
(μ : {p :ℒ × ℒ // p.1 < p.2} → S)
(F1 : RelSeries (IntervalSemistableRel μ))
(h1 : F1.head = ⊥ ∧ F1.last = ⊤ ∧
∀ i : ℕ, (hi : i + 1 < F1.length) →
¬ μA μ ⟨(F1.toFun i, F1.toFun ↑(i+1)), relSeries_step_lt F1 hi⟩
≤ μA μ ⟨(F1.toFun ↑(i+1), F1.toFun ↑(i+2)), relSeries_succ_step_lt F1 hi⟩) :
∃ HN1 : HarderNarasimhanFiltration μ,
HN1.filtration = (fun n ↦ if n ≤ F1.length then F1.toFun n else ⊤) ∧
(Nat.find HN1.fin_len = F1.length)Formal artifact
Lean source
lemma hHFil_of_hNSeries {ℒ : Type*} [Nontrivial ℒ] [Lattice ℒ] [BoundedOrder ℒ] [WellFoundedGT ℒ]{S : Type*} [CompleteLinearOrder S](μ : {p :ℒ × ℒ // p.1 < p.2} → S)(F1 : RelSeries (IntervalSemistableRel μ))(h1 : F1.head = ⊥ ∧ F1.last = ⊤ ∧ ∀ i : ℕ, (hi : i + 1 < F1.length) → ¬ μA μ ⟨(F1.toFun i, F1.toFun ↑(i+1)), relSeries_step_lt F1 hi⟩ ≤ μA μ ⟨(F1.toFun ↑(i+1), F1.toFun ↑(i+2)), relSeries_succ_step_lt F1 hi⟩) :∃ HN1 : HarderNarasimhanFiltration μ, HN1.filtration = (fun n ↦ if n ≤ F1.length then F1.toFun n else ⊤) ∧ (Nat.find HN1.fin_len = F1.length) := by let filtration1 := fun n ↦ if n ≤ F1.length then F1.toFun n else ⊤ have hstrange : ∃ n, (if n ≤ F1.length then F1.toFun ↑n else ⊤) = ⊤ := by use F1.length simp only [le_refl, ↓reduceIte, Fin.natCast_eq_last] exact h1.2.1 have Fmono : ∀ i j : ℕ, i < j → j ≤ F1.length → F1.toFun ↑i < F1.toFun ↑j := by intro i refine Nat.le_induction (fun h => ?_) (fun n hn hind h => ?_) · convert (F1.step ⟨i,h⟩).choose · exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.lt_add_right 1 h · exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.add_lt_add_right h 1 · refine lt_trans (hind (Nat.le_of_succ_le h)) ?_ have := (F1.step ⟨n , h⟩).choose simp only [Fin.castSucc_mk, Fin.succ_mk] at this convert this · exact Fin.val_cast_of_lt <| Nat.lt_add_right 1 h · exact Fin.val_cast_of_lt <| Nat.add_lt_add_right h 1 have hslen : Nat.find hstrange = F1.length := by have := Nat.find_min' hstrange ((by simp only [filtration1, le_refl, ↓reduceIte, Fin.natCast_eq_last] exact h1.2.1 ) : filtration1 F1.length = ⊤) refine le_antisymm this ?_ by_contra hc apply lt_of_not_ge at hc have t := Nat.find_spec hstrange simp only [if_pos this] at t have := t ▸ Fmono (Nat.find hstrange) F1.length hc le_rfl simp_all only [not_le, ite_eq_right_iff, Nat.find_le_iff, Nat.find_lt_iff, Fin.natCast_eq_last, not_top_lt] let HN1 : HarderNarasimhanFiltration μ := { filtration := filtration1, monotone := by refine monotone_nat_of_le_succ <| fun n => ?_ if hn : n ≤ F1.length then simp only [filtration1,hn, ↓reduceIte] if hn' : n + 1 ≤ F1.length then simp only [hn', ↓reduceIte] convert le_of_lt (F1.step ⟨n,hn'⟩).choose · simp only [Fin.castSucc_mk] exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.lt_add_right 1 hn' · simp only [Fin.succ_mk] exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.add_lt_add_right hn' 1 else simp only [hn', ↓reduceIte, le_top] else simp only [filtration1,hn, ↓reduceIte, top_le_iff, ite_eq_right_iff] intro hn' exfalso linarith, first_eq_bot := by simp only [filtration1,zero_le, ↓reduceIte] exact h1.1, fin_len := by use F1.length simp only [filtration1,le_refl, ↓reduceIte, Fin.natCast_eq_last] exact h1.2.1, strict_mono := by intro i j hij hj rw [hslen] at hj simp only [le_of_lt <| lt_of_lt_of_le hij hj, ↓reduceIte, hj, filtration1] exact Fmono i j hij hj, piecewise_semistable := by intro i hi unfold filtration1 rw [hslen] at hi have this': i + 1 ≤ F1.length := by linarith convert (F1.step ⟨i,hslen ▸ hi⟩).choose_spec · simp only [le_of_lt hi, ↓reduceIte, Fin.castSucc_mk] congr exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.lt_add_right 1 hi · simp only [this', ↓reduceIte, Fin.succ_mk] congr exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.add_lt_add_right hi 1 · simp only [le_of_lt hi, ↓reduceIte, Fin.castSucc_mk] congr exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.lt_add_right 1 hi · simp only [this', ↓reduceIte, Fin.succ_mk] congr exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.add_lt_add_right hi 1 · simp only [le_of_lt hi, ↓reduceIte, Fin.castSucc_mk] congr exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.lt_add_right 1 hi · simp only [this', ↓reduceIte, Fin.succ_mk] congr exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.add_lt_add_right hi 1 · simp only [le_of_lt hi, ↓reduceIte, Fin.castSucc_mk] congr exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.lt_add_right 1 hi · simp only [this', ↓reduceIte, Fin.succ_mk] congr exact Fin.eq_mk_iff_val_eq.mpr <| Fin.val_cast_of_lt <| Nat.add_lt_add_right hi 1, μA_pseudo_strict_anti := by intro i hi unfold filtration1 rw [hslen] at hi convert h1.2.2 i (hslen ▸ hi) · simp only [(by linarith : i ≤ F1.length), ↓reduceIte] · simp only [le_of_lt hi, ↓reduceIte] · simp only [le_of_lt hi, ↓reduceIte] · have : i + 2 ≤ F1.length := hi simp only [this, ↓reduceIte] } use HN1- Project
- Harder-Narasimhan
- License
- Apache-2.0
- Commit
- 20220e90b72c
- Source
- HarderNarasimhan/Filtration/Impl.lean:414-528
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Related declarations
Associated Primes ker mk Linear Map eq
HarderNarasimhan.CommutativeAlgebra.associatedPrimes_ker_mkLinearMap_eq
Project documentation
Associated primes of the kernel of the localization map. This identifies the associated primes of ker (LocalizedModule.mkLinearMap S M) : Submodule R M with the associated primes of M that do meet the multiplicative set S. Equivalently, these are the associated primes of M after removing those disjoint from S. This lemma is used as the “kernel...
Source project: Harder-Narasimhan
Person-level attribution pending.
Associated Primes ker mk Linear Map subset
HarderNarasimhan.CommutativeAlgebra.associatedPrimes_ker_mkLinearMap_subset
Plain-language statement
One-sided inclusion for associated primes of the kernel of the localization map. If p ∈ associatedPrimes R (ker (mkLinearMap S M)), then p is an associated prime of M and p is not disjoint from the multiplicative set S. This is one direction of associatedPrimes_ker_mkLinearMap_eq.
Source project: Harder-Narasimhan
Person-level attribution pending.
Associated Primes localized Module subset disjoint
HarderNarasimhan.CommutativeAlgebra.associatedPrimes_localizedModule_subset_disjoint
Plain-language statement
Associated primes of a localized module are disjoint from the multiplicative set. More precisely, if p ∈ associatedPrimes R (LocalizedModule S M), then p.carrier ∩ S = ∅. This is a standard fact in commutative algebra: an element of S becomes a unit after localization, so no associated prime of the localized module can contain an element of S.
Source project: Harder-Narasimhan
Person-level attribution pending.