Context stringlengths 57 6.04k | file_name stringlengths 21 79 | start int64 14 1.49k | end int64 18 1.5k | theorem stringlengths 25 1.55k | proof stringlengths 5 7.36k | eval_complexity float64 0 1 |
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import Mathlib.Data.Multiset.Nodup
#align_import data.multiset.sum from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
open Sum
namespace Multiset
variable {α β : Type*} (s : Multiset α) (t : Multiset β)
def disjSum : Multiset (Sum α β) :=
s.map inl + t.map inr
#align multiset.disj_sum Multiset.disjSum
@[simp]
theorem zero_disjSum : (0 : Multiset α).disjSum t = t.map inr :=
zero_add _
#align multiset.zero_disj_sum Multiset.zero_disjSum
@[simp]
theorem disjSum_zero : s.disjSum (0 : Multiset β) = s.map inl :=
add_zero _
#align multiset.disj_sum_zero Multiset.disjSum_zero
@[simp]
theorem card_disjSum : Multiset.card (s.disjSum t) = Multiset.card s + Multiset.card t := by
rw [disjSum, card_add, card_map, card_map]
#align multiset.card_disj_sum Multiset.card_disjSum
variable {s t} {s₁ s₂ : Multiset α} {t₁ t₂ : Multiset β} {a : α} {b : β} {x : Sum α β}
| Mathlib/Data/Multiset/Sum.lean | 50 | 51 | theorem mem_disjSum : x ∈ s.disjSum t ↔ (∃ a, a ∈ s ∧ inl a = x) ∨ ∃ b, b ∈ t ∧ inr b = x := by |
simp_rw [disjSum, mem_add, mem_map]
| 0.0625 |
import Mathlib.LinearAlgebra.Eigenspace.Basic
import Mathlib.FieldTheory.Minpoly.Field
#align_import linear_algebra.eigenspace.minpoly from "leanprover-community/mathlib"@"c3216069e5f9369e6be586ccbfcde2592b3cec92"
universe u v w
namespace Module
namespace End
open Polynomial FiniteDimensional
open scoped Polynomial
variable {K : Type v} {V : Type w} [Field K] [AddCommGroup V] [Module K V]
theorem eigenspace_aeval_polynomial_degree_1 (f : End K V) (q : K[X]) (hq : degree q = 1) :
eigenspace f (-q.coeff 0 / q.leadingCoeff) = LinearMap.ker (aeval f q) :=
calc
eigenspace f (-q.coeff 0 / q.leadingCoeff)
_ = LinearMap.ker (q.leadingCoeff • f - algebraMap K (End K V) (-q.coeff 0)) := by
rw [eigenspace_div]
intro h
rw [leadingCoeff_eq_zero_iff_deg_eq_bot.1 h] at hq
cases hq
_ = LinearMap.ker (aeval f (C q.leadingCoeff * X + C (q.coeff 0))) := by
rw [C_mul', aeval_def]; simp [algebraMap, Algebra.toRingHom]
_ = LinearMap.ker (aeval f q) := by rwa [← eq_X_add_C_of_degree_eq_one]
#align module.End.eigenspace_aeval_polynomial_degree_1 Module.End.eigenspace_aeval_polynomial_degree_1
theorem ker_aeval_ring_hom'_unit_polynomial (f : End K V) (c : K[X]ˣ) :
LinearMap.ker (aeval f (c : K[X])) = ⊥ := by
rw [Polynomial.eq_C_of_degree_eq_zero (degree_coe_units c)]
simp only [aeval_def, eval₂_C]
apply ker_algebraMap_end
apply coeff_coe_units_zero_ne_zero c
#align module.End.ker_aeval_ring_hom'_unit_polynomial Module.End.ker_aeval_ring_hom'_unit_polynomial
theorem aeval_apply_of_hasEigenvector {f : End K V} {p : K[X]} {μ : K} {x : V}
(h : f.HasEigenvector μ x) : aeval f p x = p.eval μ • x := by
refine p.induction_on ?_ ?_ ?_
· intro a; simp [Module.algebraMap_end_apply]
· intro p q hp hq; simp [hp, hq, add_smul]
· intro n a hna
rw [mul_comm, pow_succ', mul_assoc, AlgHom.map_mul, LinearMap.mul_apply, mul_comm, hna]
simp only [mem_eigenspace_iff.1 h.1, smul_smul, aeval_X, eval_mul, eval_C, eval_pow, eval_X,
LinearMap.map_smulₛₗ, RingHom.id_apply, mul_comm]
#align module.End.aeval_apply_of_has_eigenvector Module.End.aeval_apply_of_hasEigenvector
| Mathlib/LinearAlgebra/Eigenspace/Minpoly.lean | 65 | 69 | theorem isRoot_of_hasEigenvalue {f : End K V} {μ : K} (h : f.HasEigenvalue μ) :
(minpoly K f).IsRoot μ := by |
rcases (Submodule.ne_bot_iff _).1 h with ⟨w, ⟨H, ne0⟩⟩
refine Or.resolve_right (smul_eq_zero.1 ?_) ne0
simp [← aeval_apply_of_hasEigenvector ⟨H, ne0⟩, minpoly.aeval K f]
| 0.0625 |
import Mathlib.Data.List.Lattice
import Mathlib.Data.List.Range
import Mathlib.Data.Bool.Basic
#align_import data.list.intervals from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213"
open Nat
namespace List
def Ico (n m : ℕ) : List ℕ :=
range' n (m - n)
#align list.Ico List.Ico
namespace Ico
theorem zero_bot (n : ℕ) : Ico 0 n = range n := by rw [Ico, Nat.sub_zero, range_eq_range']
#align list.Ico.zero_bot List.Ico.zero_bot
@[simp]
theorem length (n m : ℕ) : length (Ico n m) = m - n := by
dsimp [Ico]
simp [length_range', autoParam]
#align list.Ico.length List.Ico.length
| Mathlib/Data/List/Intervals.lean | 51 | 53 | theorem pairwise_lt (n m : ℕ) : Pairwise (· < ·) (Ico n m) := by |
dsimp [Ico]
simp [pairwise_lt_range', autoParam]
| 0.0625 |
import Mathlib.Combinatorics.SimpleGraph.Connectivity
namespace SimpleGraph
universe u v
variable {V : Type u} {V' : Type v} {G : SimpleGraph V} {G' : SimpleGraph V'}
namespace Subgraph
protected structure Preconnected (H : G.Subgraph) : Prop where
protected coe : H.coe.Preconnected
instance {H : G.Subgraph} : Coe H.Preconnected H.coe.Preconnected := ⟨Preconnected.coe⟩
instance {H : G.Subgraph} : CoeFun H.Preconnected (fun _ => ∀ u v : H.verts, H.coe.Reachable u v) :=
⟨fun h => h.coe⟩
protected lemma preconnected_iff {H : G.Subgraph} :
H.Preconnected ↔ H.coe.Preconnected := ⟨fun ⟨h⟩ => h, .mk⟩
protected structure Connected (H : G.Subgraph) : Prop where
protected coe : H.coe.Connected
#align simple_graph.subgraph.connected SimpleGraph.Subgraph.Connected
instance {H : G.Subgraph} : Coe H.Connected H.coe.Connected := ⟨Connected.coe⟩
instance {H : G.Subgraph} : CoeFun H.Connected (fun _ => ∀ u v : H.verts, H.coe.Reachable u v) :=
⟨fun h => h.coe⟩
protected lemma connected_iff' {H : G.Subgraph} :
H.Connected ↔ H.coe.Connected := ⟨fun ⟨h⟩ => h, .mk⟩
protected lemma connected_iff {H : G.Subgraph} :
H.Connected ↔ H.Preconnected ∧ H.verts.Nonempty := by
rw [H.connected_iff', connected_iff, H.preconnected_iff, Set.nonempty_coe_sort]
protected lemma Connected.preconnected {H : G.Subgraph} (h : H.Connected) : H.Preconnected := by
rw [H.connected_iff] at h; exact h.1
protected lemma Connected.nonempty {H : G.Subgraph} (h : H.Connected) : H.verts.Nonempty := by
rw [H.connected_iff] at h; exact h.2
| Mathlib/Combinatorics/SimpleGraph/Connectivity/Subgraph.lean | 64 | 69 | theorem singletonSubgraph_connected {v : V} : (G.singletonSubgraph v).Connected := by |
refine ⟨⟨?_⟩⟩
rintro ⟨a, ha⟩ ⟨b, hb⟩
simp only [singletonSubgraph_verts, Set.mem_singleton_iff] at ha hb
subst_vars
rfl
| 0.0625 |
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Order.Antichain
import Mathlib.Order.Interval.Finset.Nat
#align_import data.finset.slice from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
open Finset Nat
variable {α : Type*} {ι : Sort*} {κ : ι → Sort*}
namespace Set
variable {A B : Set (Finset α)} {s : Finset α} {r : ℕ}
def Sized (r : ℕ) (A : Set (Finset α)) : Prop :=
∀ ⦃x⦄, x ∈ A → card x = r
#align set.sized Set.Sized
theorem Sized.mono (h : A ⊆ B) (hB : B.Sized r) : A.Sized r := fun _x hx => hB <| h hx
#align set.sized.mono Set.Sized.mono
@[simp] lemma sized_empty : (∅ : Set (Finset α)).Sized r := by simp [Sized]
@[simp] lemma sized_singleton : ({s} : Set (Finset α)).Sized r ↔ s.card = r := by simp [Sized]
theorem sized_union : (A ∪ B).Sized r ↔ A.Sized r ∧ B.Sized r :=
⟨fun hA => ⟨hA.mono subset_union_left, hA.mono subset_union_right⟩, fun hA _x hx =>
hx.elim (fun h => hA.1 h) fun h => hA.2 h⟩
#align set.sized_union Set.sized_union
alias ⟨_, sized.union⟩ := sized_union
#align set.sized.union Set.sized.union
--TODO: A `forall_iUnion` lemma would be handy here.
@[simp]
| Mathlib/Data/Finset/Slice.lean | 64 | 66 | theorem sized_iUnion {f : ι → Set (Finset α)} : (⋃ i, f i).Sized r ↔ ∀ i, (f i).Sized r := by |
simp_rw [Set.Sized, Set.mem_iUnion, forall_exists_index]
exact forall_swap
| 0.0625 |
import Mathlib.Algebra.Order.Floor
import Mathlib.Algebra.Order.Field.Power
import Mathlib.Data.Nat.Log
#align_import data.int.log from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58"
variable {R : Type*} [LinearOrderedSemifield R] [FloorSemiring R]
namespace Int
def log (b : ℕ) (r : R) : ℤ :=
if 1 ≤ r then Nat.log b ⌊r⌋₊ else -Nat.clog b ⌈r⁻¹⌉₊
#align int.log Int.log
theorem log_of_one_le_right (b : ℕ) {r : R} (hr : 1 ≤ r) : log b r = Nat.log b ⌊r⌋₊ :=
if_pos hr
#align int.log_of_one_le_right Int.log_of_one_le_right
theorem log_of_right_le_one (b : ℕ) {r : R} (hr : r ≤ 1) : log b r = -Nat.clog b ⌈r⁻¹⌉₊ := by
obtain rfl | hr := hr.eq_or_lt
· rw [log, if_pos hr, inv_one, Nat.ceil_one, Nat.floor_one, Nat.log_one_right, Nat.clog_one_right,
Int.ofNat_zero, neg_zero]
· exact if_neg hr.not_le
#align int.log_of_right_le_one Int.log_of_right_le_one
@[simp, norm_cast]
theorem log_natCast (b : ℕ) (n : ℕ) : log b (n : R) = Nat.log b n := by
cases n
· simp [log_of_right_le_one]
· rw [log_of_one_le_right, Nat.floor_natCast]
simp
#align int.log_nat_cast Int.log_natCast
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem log_ofNat (b : ℕ) (n : ℕ) [n.AtLeastTwo] :
log b (no_index (OfNat.ofNat n : R)) = Nat.log b (OfNat.ofNat n) :=
log_natCast b n
theorem log_of_left_le_one {b : ℕ} (hb : b ≤ 1) (r : R) : log b r = 0 := by
rcases le_total 1 r with h | h
· rw [log_of_one_le_right _ h, Nat.log_of_left_le_one hb, Int.ofNat_zero]
· rw [log_of_right_le_one _ h, Nat.clog_of_left_le_one hb, Int.ofNat_zero, neg_zero]
#align int.log_of_left_le_one Int.log_of_left_le_one
theorem log_of_right_le_zero (b : ℕ) {r : R} (hr : r ≤ 0) : log b r = 0 := by
rw [log_of_right_le_one _ (hr.trans zero_le_one),
Nat.clog_of_right_le_one ((Nat.ceil_eq_zero.mpr <| inv_nonpos.2 hr).trans_le zero_le_one),
Int.ofNat_zero, neg_zero]
#align int.log_of_right_le_zero Int.log_of_right_le_zero
| Mathlib/Data/Int/Log.lean | 99 | 105 | theorem zpow_log_le_self {b : ℕ} {r : R} (hb : 1 < b) (hr : 0 < r) : (b : R) ^ log b r ≤ r := by |
rcases le_total 1 r with hr1 | hr1
· rw [log_of_one_le_right _ hr1]
rw [zpow_natCast, ← Nat.cast_pow, ← Nat.le_floor_iff hr.le]
exact Nat.pow_log_le_self b (Nat.floor_pos.mpr hr1).ne'
· rw [log_of_right_le_one _ hr1, zpow_neg, zpow_natCast, ← Nat.cast_pow]
exact inv_le_of_inv_le hr (Nat.ceil_le.1 <| Nat.le_pow_clog hb _)
| 0.0625 |
import Mathlib.MeasureTheory.MeasurableSpace.Defs
open Set Function
open scoped MeasureTheory
namespace MeasurableSpace
variable {α : Type*}
def invariants [m : MeasurableSpace α] (f : α → α) : MeasurableSpace α :=
{ m ⊓ ⟨fun s ↦ f ⁻¹' s = s, by simp, by simp, fun f hf ↦ by simp [hf]⟩ with
MeasurableSet' := fun s ↦ MeasurableSet[m] s ∧ f ⁻¹' s = s }
variable [MeasurableSpace α]
theorem measurableSet_invariants {f : α → α} {s : Set α} :
MeasurableSet[invariants f] s ↔ MeasurableSet s ∧ f ⁻¹' s = s :=
.rfl
@[simp]
theorem invariants_id : invariants (id : α → α) = ‹MeasurableSpace α› :=
ext fun _ ↦ ⟨And.left, fun h ↦ ⟨h, rfl⟩⟩
theorem invariants_le (f : α → α) : invariants f ≤ ‹MeasurableSpace α› := fun _ ↦ And.left
theorem inf_le_invariants_comp (f g : α → α) :
invariants f ⊓ invariants g ≤ invariants (f ∘ g) := fun s hs ↦
⟨hs.1.1, by rw [preimage_comp, hs.1.2, hs.2.2]⟩
| Mathlib/MeasureTheory/MeasurableSpace/Invariants.lean | 50 | 54 | theorem le_invariants_iterate (f : α → α) (n : ℕ) :
invariants f ≤ invariants (f^[n]) := by |
induction n with
| zero => simp [invariants_le]
| succ n ihn => exact le_trans (le_inf ihn le_rfl) (inf_le_invariants_comp _ _)
| 0.0625 |
import Mathlib.MeasureTheory.OuterMeasure.OfFunction
import Mathlib.MeasureTheory.PiSystem
#align_import measure_theory.measure.outer_measure from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55"
noncomputable section
open Set Function Filter
open scoped Classical NNReal Topology ENNReal
namespace MeasureTheory
namespace OuterMeasure
section CaratheodoryMeasurable
universe u
variable {α : Type u} (m : OuterMeasure α)
attribute [local simp] Set.inter_comm Set.inter_left_comm Set.inter_assoc
variable {s s₁ s₂ : Set α}
def IsCaratheodory (s : Set α) : Prop :=
∀ t, m t = m (t ∩ s) + m (t \ s)
#align measure_theory.outer_measure.is_caratheodory MeasureTheory.OuterMeasure.IsCaratheodory
theorem isCaratheodory_iff_le' {s : Set α} :
IsCaratheodory m s ↔ ∀ t, m (t ∩ s) + m (t \ s) ≤ m t :=
forall_congr' fun _ => le_antisymm_iff.trans <| and_iff_right <| measure_le_inter_add_diff _ _ _
#align measure_theory.outer_measure.is_caratheodory_iff_le' MeasureTheory.OuterMeasure.isCaratheodory_iff_le'
@[simp]
theorem isCaratheodory_empty : IsCaratheodory m ∅ := by simp [IsCaratheodory, m.empty, diff_empty]
#align measure_theory.outer_measure.is_caratheodory_empty MeasureTheory.OuterMeasure.isCaratheodory_empty
| Mathlib/MeasureTheory/OuterMeasure/Caratheodory.lean | 65 | 66 | theorem isCaratheodory_compl : IsCaratheodory m s₁ → IsCaratheodory m s₁ᶜ := by |
simp [IsCaratheodory, diff_eq, add_comm]
| 0.0625 |
import Mathlib.RingTheory.RingHomProperties
import Mathlib.RingTheory.IntegralClosure
#align_import ring_theory.ring_hom.integral from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0"
namespace RingHom
open scoped TensorProduct
open TensorProduct Algebra.TensorProduct
theorem isIntegral_stableUnderComposition : StableUnderComposition fun f => f.IsIntegral := by
introv R hf hg; exact hf.trans _ _ hg
#align ring_hom.is_integral_stable_under_composition RingHom.isIntegral_stableUnderComposition
| Mathlib/RingTheory/RingHom/Integral.lean | 28 | 32 | theorem isIntegral_respectsIso : RespectsIso fun f => f.IsIntegral := by |
apply isIntegral_stableUnderComposition.respectsIso
introv x
rw [← e.apply_symm_apply x]
apply RingHom.isIntegralElem_map
| 0.0625 |
import Mathlib.SetTheory.Ordinal.Arithmetic
import Mathlib.Tactic.TFAE
import Mathlib.Topology.Order.Monotone
#align_import set_theory.ordinal.topology from "leanprover-community/mathlib"@"740acc0e6f9adf4423f92a485d0456fc271482da"
noncomputable section
universe u v
open Cardinal Order Topology
namespace Ordinal
variable {s : Set Ordinal.{u}} {a : Ordinal.{u}}
instance : TopologicalSpace Ordinal.{u} := Preorder.topology Ordinal.{u}
instance : OrderTopology Ordinal.{u} := ⟨rfl⟩
| Mathlib/SetTheory/Ordinal/Topology.lean | 41 | 53 | theorem isOpen_singleton_iff : IsOpen ({a} : Set Ordinal) ↔ ¬IsLimit a := by |
refine ⟨fun h ⟨h₀, hsucc⟩ => ?_, fun ha => ?_⟩
· obtain ⟨b, c, hbc, hbc'⟩ :=
(mem_nhds_iff_exists_Ioo_subset' ⟨0, Ordinal.pos_iff_ne_zero.2 h₀⟩ ⟨_, lt_succ a⟩).1
(h.mem_nhds rfl)
have hba := hsucc b hbc.1
exact hba.ne (hbc' ⟨lt_succ b, hba.trans hbc.2⟩)
· rcases zero_or_succ_or_limit a with (rfl | ⟨b, rfl⟩ | ha')
· rw [← bot_eq_zero, ← Set.Iic_bot, ← Iio_succ]
exact isOpen_Iio
· rw [← Set.Icc_self, Icc_succ_left, ← Ioo_succ_right]
exact isOpen_Ioo
· exact (ha ha').elim
| 0.0625 |
import Mathlib.SetTheory.Cardinal.Basic
import Mathlib.Tactic.Ring
#align_import data.nat.count from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
open Finset
namespace Nat
variable (p : ℕ → Prop)
section Count
variable [DecidablePred p]
def count (n : ℕ) : ℕ :=
(List.range n).countP p
#align nat.count Nat.count
@[simp]
theorem count_zero : count p 0 = 0 := by
rw [count, List.range_zero, List.countP, List.countP.go]
#align nat.count_zero Nat.count_zero
def CountSet.fintype (n : ℕ) : Fintype { i // i < n ∧ p i } := by
apply Fintype.ofFinset ((Finset.range n).filter p)
intro x
rw [mem_filter, mem_range]
rfl
#align nat.count_set.fintype Nat.CountSet.fintype
scoped[Count] attribute [instance] Nat.CountSet.fintype
open Count
theorem count_eq_card_filter_range (n : ℕ) : count p n = ((range n).filter p).card := by
rw [count, List.countP_eq_length_filter]
rfl
#align nat.count_eq_card_filter_range Nat.count_eq_card_filter_range
theorem count_eq_card_fintype (n : ℕ) : count p n = Fintype.card { k : ℕ // k < n ∧ p k } := by
rw [count_eq_card_filter_range, ← Fintype.card_ofFinset, ← CountSet.fintype]
rfl
#align nat.count_eq_card_fintype Nat.count_eq_card_fintype
theorem count_succ (n : ℕ) : count p (n + 1) = count p n + if p n then 1 else 0 := by
split_ifs with h <;> simp [count, List.range_succ, h]
#align nat.count_succ Nat.count_succ
@[mono]
theorem count_monotone : Monotone (count p) :=
monotone_nat_of_le_succ fun n ↦ by by_cases h : p n <;> simp [count_succ, h]
#align nat.count_monotone Nat.count_monotone
theorem count_add (a b : ℕ) : count p (a + b) = count p a + count (fun k ↦ p (a + k)) b := by
have : Disjoint ((range a).filter p) (((range b).map <| addLeftEmbedding a).filter p) := by
apply disjoint_filter_filter
rw [Finset.disjoint_left]
simp_rw [mem_map, mem_range, addLeftEmbedding_apply]
rintro x hx ⟨c, _, rfl⟩
exact (self_le_add_right _ _).not_lt hx
simp_rw [count_eq_card_filter_range, range_add, filter_union, card_union_of_disjoint this,
filter_map, addLeftEmbedding, card_map]
rfl
#align nat.count_add Nat.count_add
theorem count_add' (a b : ℕ) : count p (a + b) = count (fun k ↦ p (k + b)) a + count p b := by
rw [add_comm, count_add, add_comm]
simp_rw [add_comm b]
#align nat.count_add' Nat.count_add'
theorem count_one : count p 1 = if p 0 then 1 else 0 := by simp [count_succ]
#align nat.count_one Nat.count_one
theorem count_succ' (n : ℕ) :
count p (n + 1) = count (fun k ↦ p (k + 1)) n + if p 0 then 1 else 0 := by
rw [count_add', count_one]
#align nat.count_succ' Nat.count_succ'
variable {p}
@[simp]
theorem count_lt_count_succ_iff {n : ℕ} : count p n < count p (n + 1) ↔ p n := by
by_cases h : p n <;> simp [count_succ, h]
#align nat.count_lt_count_succ_iff Nat.count_lt_count_succ_iff
theorem count_succ_eq_succ_count_iff {n : ℕ} : count p (n + 1) = count p n + 1 ↔ p n := by
by_cases h : p n <;> simp [h, count_succ]
#align nat.count_succ_eq_succ_count_iff Nat.count_succ_eq_succ_count_iff
theorem count_succ_eq_count_iff {n : ℕ} : count p (n + 1) = count p n ↔ ¬p n := by
by_cases h : p n <;> simp [h, count_succ]
#align nat.count_succ_eq_count_iff Nat.count_succ_eq_count_iff
alias ⟨_, count_succ_eq_succ_count⟩ := count_succ_eq_succ_count_iff
#align nat.count_succ_eq_succ_count Nat.count_succ_eq_succ_count
alias ⟨_, count_succ_eq_count⟩ := count_succ_eq_count_iff
#align nat.count_succ_eq_count Nat.count_succ_eq_count
theorem count_le_cardinal (n : ℕ) : (count p n : Cardinal) ≤ Cardinal.mk { k | p k } := by
rw [count_eq_card_fintype, ← Cardinal.mk_fintype]
exact Cardinal.mk_subtype_mono fun x hx ↦ hx.2
#align nat.count_le_cardinal Nat.count_le_cardinal
theorem lt_of_count_lt_count {a b : ℕ} (h : count p a < count p b) : a < b :=
(count_monotone p).reflect_lt h
#align nat.lt_of_count_lt_count Nat.lt_of_count_lt_count
theorem count_strict_mono {m n : ℕ} (hm : p m) (hmn : m < n) : count p m < count p n :=
(count_lt_count_succ_iff.2 hm).trans_le <| count_monotone _ (Nat.succ_le_iff.2 hmn)
#align nat.count_strict_mono Nat.count_strict_mono
| Mathlib/Data/Nat/Count.lean | 133 | 137 | theorem count_injective {m n : ℕ} (hm : p m) (hn : p n) (heq : count p m = count p n) : m = n := by |
by_contra! h : m ≠ n
wlog hmn : m < n
· exact this hn hm heq.symm h.symm (h.lt_or_lt.resolve_left hmn)
· simpa [heq] using count_strict_mono hm hmn
| 0.0625 |
import Mathlib.Data.Set.Prod
import Mathlib.Logic.Function.Conjugate
#align_import data.set.function from "leanprover-community/mathlib"@"996b0ff959da753a555053a480f36e5f264d4207"
variable {α β γ : Type*} {ι : Sort*} {π : α → Type*}
open Equiv Equiv.Perm Function
namespace Set
section restrict
def restrict (s : Set α) (f : ∀ a : α, π a) : ∀ a : s, π a := fun x => f x
#align set.restrict Set.restrict
theorem restrict_eq (f : α → β) (s : Set α) : s.restrict f = f ∘ Subtype.val :=
rfl
#align set.restrict_eq Set.restrict_eq
@[simp]
theorem restrict_apply (f : α → β) (s : Set α) (x : s) : s.restrict f x = f x :=
rfl
#align set.restrict_apply Set.restrict_apply
theorem restrict_eq_iff {f : ∀ a, π a} {s : Set α} {g : ∀ a : s, π a} :
restrict s f = g ↔ ∀ (a) (ha : a ∈ s), f a = g ⟨a, ha⟩ :=
funext_iff.trans Subtype.forall
#align set.restrict_eq_iff Set.restrict_eq_iff
theorem eq_restrict_iff {s : Set α} {f : ∀ a : s, π a} {g : ∀ a, π a} :
f = restrict s g ↔ ∀ (a) (ha : a ∈ s), f ⟨a, ha⟩ = g a :=
funext_iff.trans Subtype.forall
#align set.eq_restrict_iff Set.eq_restrict_iff
@[simp]
theorem range_restrict (f : α → β) (s : Set α) : Set.range (s.restrict f) = f '' s :=
(range_comp _ _).trans <| congr_arg (f '' ·) Subtype.range_coe
#align set.range_restrict Set.range_restrict
theorem image_restrict (f : α → β) (s t : Set α) :
s.restrict f '' (Subtype.val ⁻¹' t) = f '' (t ∩ s) := by
rw [restrict_eq, image_comp, image_preimage_eq_inter_range, Subtype.range_coe]
#align set.image_restrict Set.image_restrict
@[simp]
theorem restrict_dite {s : Set α} [∀ x, Decidable (x ∈ s)] (f : ∀ a ∈ s, β)
(g : ∀ a ∉ s, β) :
(s.restrict fun a => if h : a ∈ s then f a h else g a h) = (fun a : s => f a a.2) :=
funext fun a => dif_pos a.2
#align set.restrict_dite Set.restrict_dite
@[simp]
theorem restrict_dite_compl {s : Set α} [∀ x, Decidable (x ∈ s)] (f : ∀ a ∈ s, β)
(g : ∀ a ∉ s, β) :
(sᶜ.restrict fun a => if h : a ∈ s then f a h else g a h) = (fun a : (sᶜ : Set α) => g a a.2) :=
funext fun a => dif_neg a.2
#align set.restrict_dite_compl Set.restrict_dite_compl
@[simp]
theorem restrict_ite (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
(s.restrict fun a => if a ∈ s then f a else g a) = s.restrict f :=
restrict_dite _ _
#align set.restrict_ite Set.restrict_ite
@[simp]
theorem restrict_ite_compl (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
(sᶜ.restrict fun a => if a ∈ s then f a else g a) = sᶜ.restrict g :=
restrict_dite_compl _ _
#align set.restrict_ite_compl Set.restrict_ite_compl
@[simp]
theorem restrict_piecewise (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
s.restrict (piecewise s f g) = s.restrict f :=
restrict_ite _ _ _
#align set.restrict_piecewise Set.restrict_piecewise
@[simp]
theorem restrict_piecewise_compl (f g : α → β) (s : Set α) [∀ x, Decidable (x ∈ s)] :
sᶜ.restrict (piecewise s f g) = sᶜ.restrict g :=
restrict_ite_compl _ _ _
#align set.restrict_piecewise_compl Set.restrict_piecewise_compl
theorem restrict_extend_range (f : α → β) (g : α → γ) (g' : β → γ) :
(range f).restrict (extend f g g') = fun x => g x.coe_prop.choose := by
classical
exact restrict_dite _ _
#align set.restrict_extend_range Set.restrict_extend_range
@[simp]
theorem restrict_extend_compl_range (f : α → β) (g : α → γ) (g' : β → γ) :
(range f)ᶜ.restrict (extend f g g') = g' ∘ Subtype.val := by
classical
exact restrict_dite_compl _ _
#align set.restrict_extend_compl_range Set.restrict_extend_compl_range
theorem range_extend_subset (f : α → β) (g : α → γ) (g' : β → γ) :
range (extend f g g') ⊆ range g ∪ g' '' (range f)ᶜ := by
classical
rintro _ ⟨y, rfl⟩
rw [extend_def]
split_ifs with h
exacts [Or.inl (mem_range_self _), Or.inr (mem_image_of_mem _ h)]
#align set.range_extend_subset Set.range_extend_subset
| Mathlib/Data/Set/Function.lean | 139 | 143 | theorem range_extend {f : α → β} (hf : Injective f) (g : α → γ) (g' : β → γ) :
range (extend f g g') = range g ∪ g' '' (range f)ᶜ := by |
refine (range_extend_subset _ _ _).antisymm ?_
rintro z (⟨x, rfl⟩ | ⟨y, hy, rfl⟩)
exacts [⟨f x, hf.extend_apply _ _ _⟩, ⟨y, extend_apply' _ _ _ hy⟩]
| 0.0625 |
import Mathlib.Algebra.Polynomial.Degree.TrailingDegree
import Mathlib.Algebra.Polynomial.EraseLead
import Mathlib.Algebra.Polynomial.Eval
#align_import data.polynomial.reverse from "leanprover-community/mathlib"@"44de64f183393284a16016dfb2a48ac97382f2bd"
namespace Polynomial
open Polynomial Finsupp Finset
open Polynomial
section Semiring
variable {R : Type*} [Semiring R] {f : R[X]}
def revAtFun (N i : ℕ) : ℕ :=
ite (i ≤ N) (N - i) i
#align polynomial.rev_at_fun Polynomial.revAtFun
theorem revAtFun_invol {N i : ℕ} : revAtFun N (revAtFun N i) = i := by
unfold revAtFun
split_ifs with h j
· exact tsub_tsub_cancel_of_le h
· exfalso
apply j
exact Nat.sub_le N i
· rfl
#align polynomial.rev_at_fun_invol Polynomial.revAtFun_invol
| Mathlib/Algebra/Polynomial/Reverse.lean | 50 | 52 | theorem revAtFun_inj {N : ℕ} : Function.Injective (revAtFun N) := by |
intro a b hab
rw [← @revAtFun_invol N a, hab, revAtFun_invol]
| 0.0625 |
import Mathlib.Analysis.Complex.Circle
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Measure.Haar.OfBasis
import Mathlib.MeasureTheory.Constructions.Prod.Integral
import Mathlib.MeasureTheory.Measure.Haar.InnerProductSpace
import Mathlib.Algebra.Group.AddChar
#align_import analysis.fourier.fourier_transform from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
local notation "𝕊" => circle
open MeasureTheory Filter
open scoped Topology
namespace VectorFourier
variable {𝕜 : Type*} [CommRing 𝕜] {V : Type*} [AddCommGroup V] [Module 𝕜 V] [MeasurableSpace V]
{W : Type*} [AddCommGroup W] [Module 𝕜 W]
{E F G : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] [NormedAddCommGroup F] [NormedSpace ℂ F]
[NormedAddCommGroup G] [NormedSpace ℂ G]
section Defs
def fourierIntegral (e : AddChar 𝕜 𝕊) (μ : Measure V) (L : V →ₗ[𝕜] W →ₗ[𝕜] 𝕜) (f : V → E)
(w : W) : E :=
∫ v, e (-L v w) • f v ∂μ
#align vector_fourier.fourier_integral VectorFourier.fourierIntegral
| Mathlib/Analysis/Fourier/FourierTransform.lean | 84 | 92 | theorem fourierIntegral_smul_const (e : AddChar 𝕜 𝕊) (μ : Measure V)
(L : V →ₗ[𝕜] W →ₗ[𝕜] 𝕜) (f : V → E) (r : ℂ) :
fourierIntegral e μ L (r • f) = r • fourierIntegral e μ L f := by |
ext1 w
-- Porting note: was
-- simp only [Pi.smul_apply, fourierIntegral, smul_comm _ r, integral_smul]
simp only [Pi.smul_apply, fourierIntegral, ← integral_smul]
congr 1 with v
rw [smul_comm]
| 0.0625 |
import Mathlib.CategoryTheory.EqToHom
import Mathlib.CategoryTheory.Quotient
import Mathlib.Combinatorics.Quiver.Path
#align_import category_theory.path_category from "leanprover-community/mathlib"@"c6dd521ebdce53bb372c527569dd7c25de53a08b"
universe v₁ v₂ u₁ u₂
namespace CategoryTheory
section
def Paths (V : Type u₁) : Type u₁ := V
#align category_theory.paths CategoryTheory.Paths
instance (V : Type u₁) [Inhabited V] : Inhabited (Paths V) := ⟨(default : V)⟩
variable (V : Type u₁) [Quiver.{v₁ + 1} V]
namespace Paths
instance categoryPaths : Category.{max u₁ v₁} (Paths V) where
Hom := fun X Y : V => Quiver.Path X Y
id X := Quiver.Path.nil
comp f g := Quiver.Path.comp f g
#align category_theory.paths.category_paths CategoryTheory.Paths.categoryPaths
variable {V}
@[simps]
def of : V ⥤q Paths V where
obj X := X
map f := f.toPath
#align category_theory.paths.of CategoryTheory.Paths.of
attribute [local ext] Functor.ext
def lift {C} [Category C] (φ : V ⥤q C) : Paths V ⥤ C where
obj := φ.obj
map {X} {Y} f :=
@Quiver.Path.rec V _ X (fun Y _ => φ.obj X ⟶ φ.obj Y) (𝟙 <| φ.obj X)
(fun _ f ihp => ihp ≫ φ.map f) Y f
map_id X := rfl
map_comp f g := by
induction' g with _ _ g' p ih _ _ _
· rw [Category.comp_id]
rfl
· have : f ≫ Quiver.Path.cons g' p = (f ≫ g').cons p := by apply Quiver.Path.comp_cons
rw [this]
simp only at ih ⊢
rw [ih, Category.assoc]
#align category_theory.paths.lift CategoryTheory.Paths.lift
@[simp]
theorem lift_nil {C} [Category C] (φ : V ⥤q C) (X : V) :
(lift φ).map Quiver.Path.nil = 𝟙 (φ.obj X) := rfl
#align category_theory.paths.lift_nil CategoryTheory.Paths.lift_nil
@[simp]
theorem lift_cons {C} [Category C] (φ : V ⥤q C) {X Y Z : V} (p : Quiver.Path X Y) (f : Y ⟶ Z) :
(lift φ).map (p.cons f) = (lift φ).map p ≫ φ.map f := rfl
#align category_theory.paths.lift_cons CategoryTheory.Paths.lift_cons
@[simp]
| Mathlib/CategoryTheory/PathCategory.lean | 87 | 90 | theorem lift_toPath {C} [Category C] (φ : V ⥤q C) {X Y : V} (f : X ⟶ Y) :
(lift φ).map f.toPath = φ.map f := by |
dsimp [Quiver.Hom.toPath, lift]
simp
| 0.0625 |
import Mathlib.MeasureTheory.MeasurableSpace.Defs
open Set Function
open scoped MeasureTheory
namespace MeasurableSpace
variable {α : Type*}
def invariants [m : MeasurableSpace α] (f : α → α) : MeasurableSpace α :=
{ m ⊓ ⟨fun s ↦ f ⁻¹' s = s, by simp, by simp, fun f hf ↦ by simp [hf]⟩ with
MeasurableSet' := fun s ↦ MeasurableSet[m] s ∧ f ⁻¹' s = s }
variable [MeasurableSpace α]
theorem measurableSet_invariants {f : α → α} {s : Set α} :
MeasurableSet[invariants f] s ↔ MeasurableSet s ∧ f ⁻¹' s = s :=
.rfl
@[simp]
theorem invariants_id : invariants (id : α → α) = ‹MeasurableSpace α› :=
ext fun _ ↦ ⟨And.left, fun h ↦ ⟨h, rfl⟩⟩
theorem invariants_le (f : α → α) : invariants f ≤ ‹MeasurableSpace α› := fun _ ↦ And.left
theorem inf_le_invariants_comp (f g : α → α) :
invariants f ⊓ invariants g ≤ invariants (f ∘ g) := fun s hs ↦
⟨hs.1.1, by rw [preimage_comp, hs.1.2, hs.2.2]⟩
theorem le_invariants_iterate (f : α → α) (n : ℕ) :
invariants f ≤ invariants (f^[n]) := by
induction n with
| zero => simp [invariants_le]
| succ n ihn => exact le_trans (le_inf ihn le_rfl) (inf_le_invariants_comp _ _)
variable {β : Type*} [MeasurableSpace β]
| Mathlib/MeasureTheory/MeasurableSpace/Invariants.lean | 58 | 60 | theorem measurable_invariants_dom {f : α → α} {g : α → β} :
Measurable[invariants f] g ↔ Measurable g ∧ ∀ s, MeasurableSet s → (g ∘ f) ⁻¹' s = g ⁻¹' s := by |
simp only [Measurable, ← forall_and]; rfl
| 0.0625 |
import Mathlib.CategoryTheory.Opposites
#align_import category_theory.eq_to_hom from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
universe v₁ v₂ v₃ u₁ u₂ u₃
-- morphism levels before object levels. See note [CategoryTheory universes].
namespace CategoryTheory
open Opposite
variable {C : Type u₁} [Category.{v₁} C]
def eqToHom {X Y : C} (p : X = Y) : X ⟶ Y := by rw [p]; exact 𝟙 _
#align category_theory.eq_to_hom CategoryTheory.eqToHom
@[simp]
theorem eqToHom_refl (X : C) (p : X = X) : eqToHom p = 𝟙 X :=
rfl
#align category_theory.eq_to_hom_refl CategoryTheory.eqToHom_refl
@[reassoc (attr := simp)]
theorem eqToHom_trans {X Y Z : C} (p : X = Y) (q : Y = Z) :
eqToHom p ≫ eqToHom q = eqToHom (p.trans q) := by
cases p
cases q
simp
#align category_theory.eq_to_hom_trans CategoryTheory.eqToHom_trans
theorem comp_eqToHom_iff {X Y Y' : C} (p : Y = Y') (f : X ⟶ Y) (g : X ⟶ Y') :
f ≫ eqToHom p = g ↔ f = g ≫ eqToHom p.symm :=
{ mp := fun h => h ▸ by simp
mpr := fun h => by simp [eq_whisker h (eqToHom p)] }
#align category_theory.comp_eq_to_hom_iff CategoryTheory.comp_eqToHom_iff
theorem eqToHom_comp_iff {X X' Y : C} (p : X = X') (f : X ⟶ Y) (g : X' ⟶ Y) :
eqToHom p ≫ g = f ↔ g = eqToHom p.symm ≫ f :=
{ mp := fun h => h ▸ by simp
mpr := fun h => h ▸ by simp [whisker_eq _ h] }
#align category_theory.eq_to_hom_comp_iff CategoryTheory.eqToHom_comp_iff
variable {β : Sort*}
-- The simpNF linter incorrectly claims that this will never apply.
-- https://github.com/leanprover-community/mathlib4/issues/5049
@[reassoc (attr := simp, nolint simpNF)]
theorem eqToHom_naturality {f g : β → C} (z : ∀ b, f b ⟶ g b) {j j' : β} (w : j = j') :
z j ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ z j' := by
cases w
simp
-- The simpNF linter incorrectly claims that this will never apply.
-- https://github.com/leanprover-community/mathlib4/issues/5049
@[reassoc (attr := simp, nolint simpNF)]
theorem eqToHom_iso_hom_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') :
(z j).hom ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').hom := by
cases w
simp
-- The simpNF linter incorrectly claims that this will never apply.
-- https://github.com/leanprover-community/mathlib4/issues/5049
@[reassoc (attr := simp, nolint simpNF)]
theorem eqToHom_iso_inv_naturality {f g : β → C} (z : ∀ b, f b ≅ g b) {j j' : β} (w : j = j') :
(z j).inv ≫ eqToHom (by simp [w]) = eqToHom (by simp [w]) ≫ (z j').inv := by
cases w
simp
@[simp, nolint simpNF]
theorem congrArg_cast_hom_left {X Y Z : C} (p : X = Y) (q : Y ⟶ Z) :
cast (congrArg (fun W : C => W ⟶ Z) p.symm) q = eqToHom p ≫ q := by
cases p
simp
theorem congrArg_mpr_hom_left {X Y Z : C} (p : X = Y) (q : Y ⟶ Z) :
(congrArg (fun W : C => W ⟶ Z) p).mpr q = eqToHom p ≫ q := by
cases p
simp
#align category_theory.congr_arg_mpr_hom_left CategoryTheory.congrArg_mpr_hom_left
@[simp, nolint simpNF]
theorem congrArg_cast_hom_right {X Y Z : C} (p : X ⟶ Y) (q : Z = Y) :
cast (congrArg (fun W : C => X ⟶ W) q.symm) p = p ≫ eqToHom q.symm := by
cases q
simp
theorem congrArg_mpr_hom_right {X Y Z : C} (p : X ⟶ Y) (q : Z = Y) :
(congrArg (fun W : C => X ⟶ W) q).mpr p = p ≫ eqToHom q.symm := by
cases q
simp
#align category_theory.congr_arg_mpr_hom_right CategoryTheory.congrArg_mpr_hom_right
def eqToIso {X Y : C} (p : X = Y) : X ≅ Y :=
⟨eqToHom p, eqToHom p.symm, by simp, by simp⟩
#align category_theory.eq_to_iso CategoryTheory.eqToIso
@[simp]
theorem eqToIso.hom {X Y : C} (p : X = Y) : (eqToIso p).hom = eqToHom p :=
rfl
#align category_theory.eq_to_iso.hom CategoryTheory.eqToIso.hom
@[simp]
theorem eqToIso.inv {X Y : C} (p : X = Y) : (eqToIso p).inv = eqToHom p.symm :=
rfl
#align category_theory.eq_to_iso.inv CategoryTheory.eqToIso.inv
@[simp]
theorem eqToIso_refl {X : C} (p : X = X) : eqToIso p = Iso.refl X :=
rfl
#align category_theory.eq_to_iso_refl CategoryTheory.eqToIso_refl
@[simp]
theorem eqToIso_trans {X Y Z : C} (p : X = Y) (q : Y = Z) :
eqToIso p ≪≫ eqToIso q = eqToIso (p.trans q) := by ext; simp
#align category_theory.eq_to_iso_trans CategoryTheory.eqToIso_trans
@[simp]
| Mathlib/CategoryTheory/EqToHom.lean | 174 | 176 | theorem eqToHom_op {X Y : C} (h : X = Y) : (eqToHom h).op = eqToHom (congr_arg op h.symm) := by |
cases h
rfl
| 0.0625 |
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Monic
#align_import data.polynomial.lifts from "leanprover-community/mathlib"@"63417e01fbc711beaf25fa73b6edb395c0cfddd0"
open Polynomial
noncomputable section
namespace Polynomial
universe u v w
section Semiring
variable {R : Type u} [Semiring R] {S : Type v} [Semiring S] {f : R →+* S}
def lifts (f : R →+* S) : Subsemiring S[X] :=
RingHom.rangeS (mapRingHom f)
#align polynomial.lifts Polynomial.lifts
theorem mem_lifts (p : S[X]) : p ∈ lifts f ↔ ∃ q : R[X], map f q = p := by
simp only [coe_mapRingHom, lifts, RingHom.mem_rangeS]
#align polynomial.mem_lifts Polynomial.mem_lifts
theorem lifts_iff_set_range (p : S[X]) : p ∈ lifts f ↔ p ∈ Set.range (map f) := by
simp only [coe_mapRingHom, lifts, Set.mem_range, RingHom.mem_rangeS]
#align polynomial.lifts_iff_set_range Polynomial.lifts_iff_set_range
theorem lifts_iff_ringHom_rangeS (p : S[X]) : p ∈ lifts f ↔ p ∈ (mapRingHom f).rangeS := by
simp only [coe_mapRingHom, lifts, Set.mem_range, RingHom.mem_rangeS]
#align polynomial.lifts_iff_ring_hom_srange Polynomial.lifts_iff_ringHom_rangeS
theorem lifts_iff_coeff_lifts (p : S[X]) : p ∈ lifts f ↔ ∀ n : ℕ, p.coeff n ∈ Set.range f := by
rw [lifts_iff_ringHom_rangeS, mem_map_rangeS f]
rfl
#align polynomial.lifts_iff_coeff_lifts Polynomial.lifts_iff_coeff_lifts
theorem C_mem_lifts (f : R →+* S) (r : R) : C (f r) ∈ lifts f :=
⟨C r, by
simp only [coe_mapRingHom, map_C, Set.mem_univ, Subsemiring.coe_top, eq_self_iff_true,
and_self_iff]⟩
set_option linter.uppercaseLean3 false in
#align polynomial.C_mem_lifts Polynomial.C_mem_lifts
theorem C'_mem_lifts {f : R →+* S} {s : S} (h : s ∈ Set.range f) : C s ∈ lifts f := by
obtain ⟨r, rfl⟩ := Set.mem_range.1 h
use C r
simp only [coe_mapRingHom, map_C, Set.mem_univ, Subsemiring.coe_top, eq_self_iff_true,
and_self_iff]
set_option linter.uppercaseLean3 false in
#align polynomial.C'_mem_lifts Polynomial.C'_mem_lifts
theorem X_mem_lifts (f : R →+* S) : (X : S[X]) ∈ lifts f :=
⟨X, by
simp only [coe_mapRingHom, Set.mem_univ, Subsemiring.coe_top, eq_self_iff_true, map_X,
and_self_iff]⟩
set_option linter.uppercaseLean3 false in
#align polynomial.X_mem_lifts Polynomial.X_mem_lifts
theorem X_pow_mem_lifts (f : R →+* S) (n : ℕ) : (X ^ n : S[X]) ∈ lifts f :=
⟨X ^ n, by
simp only [coe_mapRingHom, map_pow, Set.mem_univ, Subsemiring.coe_top, eq_self_iff_true,
map_X, and_self_iff]⟩
set_option linter.uppercaseLean3 false in
#align polynomial.X_pow_mem_lifts Polynomial.X_pow_mem_lifts
theorem base_mul_mem_lifts {p : S[X]} (r : R) (hp : p ∈ lifts f) : C (f r) * p ∈ lifts f := by
simp only [lifts, RingHom.mem_rangeS] at hp ⊢
obtain ⟨p₁, rfl⟩ := hp
use C r * p₁
simp only [coe_mapRingHom, map_C, map_mul]
#align polynomial.base_mul_mem_lifts Polynomial.base_mul_mem_lifts
theorem monomial_mem_lifts {s : S} (n : ℕ) (h : s ∈ Set.range f) : monomial n s ∈ lifts f := by
obtain ⟨r, rfl⟩ := Set.mem_range.1 h
use monomial n r
simp only [coe_mapRingHom, Set.mem_univ, map_monomial, Subsemiring.coe_top, eq_self_iff_true,
and_self_iff]
#align polynomial.monomial_mem_lifts Polynomial.monomial_mem_lifts
theorem erase_mem_lifts {p : S[X]} (n : ℕ) (h : p ∈ lifts f) : p.erase n ∈ lifts f := by
rw [lifts_iff_ringHom_rangeS, mem_map_rangeS] at h ⊢
intro k
by_cases hk : k = n
· use 0
simp only [hk, RingHom.map_zero, erase_same]
obtain ⟨i, hi⟩ := h k
use i
simp only [hi, hk, erase_ne, Ne, not_false_iff]
#align polynomial.erase_mem_lifts Polynomial.erase_mem_lifts
section Algebra
variable {R : Type u} [CommSemiring R] {S : Type v} [Semiring S] [Algebra R S]
def mapAlg (R : Type u) [CommSemiring R] (S : Type v) [Semiring S] [Algebra R S] :
R[X] →ₐ[R] S[X] :=
@aeval _ S[X] _ _ _ (X : S[X])
#align polynomial.map_alg Polynomial.mapAlg
theorem mapAlg_eq_map (p : R[X]) : mapAlg R S p = map (algebraMap R S) p := by
simp only [mapAlg, aeval_def, eval₂_eq_sum, map, algebraMap_apply, RingHom.coe_comp]
ext; congr
#align polynomial.map_alg_eq_map Polynomial.mapAlg_eq_map
| Mathlib/Algebra/Polynomial/Lifts.lean | 280 | 282 | theorem mem_lifts_iff_mem_alg (R : Type u) [CommSemiring R] {S : Type v} [Semiring S] [Algebra R S]
(p : S[X]) : p ∈ lifts (algebraMap R S) ↔ p ∈ AlgHom.range (@mapAlg R _ S _ _) := by |
simp only [coe_mapRingHom, lifts, mapAlg_eq_map, AlgHom.mem_range, RingHom.mem_rangeS]
| 0.0625 |
import Mathlib.RepresentationTheory.FdRep
import Mathlib.LinearAlgebra.Trace
import Mathlib.RepresentationTheory.Invariants
#align_import representation_theory.character from "leanprover-community/mathlib"@"55b3f8206b8596db8bb1804d8a92814a0b6670c9"
noncomputable section
universe u
open CategoryTheory LinearMap CategoryTheory.MonoidalCategory Representation FiniteDimensional
variable {k : Type u} [Field k]
namespace FdRep
set_option linter.uppercaseLean3 false -- `FdRep`
section Monoid
variable {G : Type u} [Monoid G]
def character (V : FdRep k G) (g : G) :=
LinearMap.trace k V (V.ρ g)
#align fdRep.character FdRep.character
theorem char_mul_comm (V : FdRep k G) (g : G) (h : G) :
V.character (h * g) = V.character (g * h) := by simp only [trace_mul_comm, character, map_mul]
#align fdRep.char_mul_comm FdRep.char_mul_comm
@[simp]
theorem char_one (V : FdRep k G) : V.character 1 = FiniteDimensional.finrank k V := by
simp only [character, map_one, trace_one]
#align fdRep.char_one FdRep.char_one
| Mathlib/RepresentationTheory/Character.lean | 64 | 65 | theorem char_tensor (V W : FdRep k G) : (V ⊗ W).character = V.character * W.character := by |
ext g; convert trace_tensorProduct' (V.ρ g) (W.ρ g)
| 0.0625 |
import Mathlib.Data.List.Defs
import Mathlib.Data.Option.Basic
import Mathlib.Data.Nat.Defs
import Mathlib.Init.Data.List.Basic
import Mathlib.Util.AssertExists
-- Make sure we haven't imported `Data.Nat.Order.Basic`
assert_not_exists OrderedSub
namespace List
universe u v
variable {α : Type u} {β : Type v} (l : List α) (x : α) (xs : List α) (n : ℕ)
section getD
variable (d : α)
#align list.nthd_nil List.getD_nilₓ -- argument order
#align list.nthd_cons_zero List.getD_cons_zeroₓ -- argument order
#align list.nthd_cons_succ List.getD_cons_succₓ -- argument order
| Mathlib/Data/List/GetD.lean | 38 | 44 | theorem getD_eq_get {n : ℕ} (hn : n < l.length) : l.getD n d = l.get ⟨n, hn⟩ := by |
induction l generalizing n with
| nil => simp at hn
| cons head tail ih =>
cases n
· exact getD_cons_zero
· exact ih _
| 0.0625 |
import Mathlib.Data.W.Basic
#align_import data.pfunctor.univariate.basic from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
-- "W", "Idx"
set_option linter.uppercaseLean3 false
universe u v v₁ v₂ v₃
@[pp_with_univ]
structure PFunctor where
A : Type u
B : A → Type u
#align pfunctor PFunctor
namespace PFunctor
instance : Inhabited PFunctor :=
⟨⟨default, default⟩⟩
variable (P : PFunctor.{u}) {α : Type v₁} {β : Type v₂} {γ : Type v₃}
@[coe]
def Obj (α : Type v) :=
Σ x : P.A, P.B x → α
#align pfunctor.obj PFunctor.Obj
instance : CoeFun PFunctor.{u} (fun _ => Type v → Type (max u v)) where
coe := Obj
def map (f : α → β) : P α → P β :=
fun ⟨a, g⟩ => ⟨a, f ∘ g⟩
#align pfunctor.map PFunctor.map
instance Obj.inhabited [Inhabited P.A] [Inhabited α] : Inhabited (P α) :=
⟨⟨default, default⟩⟩
#align pfunctor.obj.inhabited PFunctor.Obj.inhabited
instance : Functor.{v, max u v} P.Obj where map := @map P
@[simp]
theorem map_eq_map {α β : Type v} (f : α → β) (x : P α) : f <$> x = P.map f x :=
rfl
@[simp]
protected theorem map_eq (f : α → β) (a : P.A) (g : P.B a → α) :
P.map f ⟨a, g⟩ = ⟨a, f ∘ g⟩ :=
rfl
#align pfunctor.map_eq PFunctor.map_eq
@[simp]
protected theorem id_map : ∀ x : P α, P.map id x = x := fun ⟨_, _⟩ => rfl
#align pfunctor.id_map PFunctor.id_map
@[simp]
protected theorem map_map (f : α → β) (g : β → γ) :
∀ x : P α, P.map g (P.map f x) = P.map (g ∘ f) x := fun ⟨_, _⟩ => rfl
#align pfunctor.comp_map PFunctor.map_map
instance : LawfulFunctor.{v, max u v} P.Obj where
map_const := rfl
id_map x := P.id_map x
comp_map f g x := P.map_map f g x |>.symm
def W :=
WType P.B
#align pfunctor.W PFunctor.W
-- Porting note(#5171): this linter isn't ported yet.
-- attribute [nolint has_nonempty_instance] W
variable {P}
def W.head : W P → P.A
| ⟨a, _f⟩ => a
#align pfunctor.W.head PFunctor.W.head
def W.children : ∀ x : W P, P.B (W.head x) → W P
| ⟨_a, f⟩ => f
#align pfunctor.W.children PFunctor.W.children
def W.dest : W P → P (W P)
| ⟨a, f⟩ => ⟨a, f⟩
#align pfunctor.W.dest PFunctor.W.dest
def W.mk : P (W P) → W P
| ⟨a, f⟩ => ⟨a, f⟩
#align pfunctor.W.mk PFunctor.W.mk
@[simp]
theorem W.dest_mk (p : P (W P)) : W.dest (W.mk p) = p := by cases p; rfl
#align pfunctor.W.dest_mk PFunctor.W.dest_mk
@[simp]
theorem W.mk_dest (p : W P) : W.mk (W.dest p) = p := by cases p; rfl
#align pfunctor.W.mk_dest PFunctor.W.mk_dest
variable (P)
def Idx :=
Σ x : P.A, P.B x
#align pfunctor.Idx PFunctor.Idx
instance Idx.inhabited [Inhabited P.A] [Inhabited (P.B default)] : Inhabited P.Idx :=
⟨⟨default, default⟩⟩
#align pfunctor.Idx.inhabited PFunctor.Idx.inhabited
variable {P}
def Obj.iget [DecidableEq P.A] {α} [Inhabited α] (x : P α) (i : P.Idx) : α :=
if h : i.1 = x.1 then x.2 (cast (congr_arg _ h) i.2) else default
#align pfunctor.obj.iget PFunctor.Obj.iget
@[simp]
theorem fst_map (x : P α) (f : α → β) : (P.map f x).1 = x.1 := by cases x; rfl
#align pfunctor.fst_map PFunctor.fst_map
@[simp]
| Mathlib/Data/PFunctor/Univariate/Basic.lean | 158 | 162 | theorem iget_map [DecidableEq P.A] [Inhabited α] [Inhabited β] (x : P α)
(f : α → β) (i : P.Idx) (h : i.1 = x.1) : (P.map f x).iget i = f (x.iget i) := by |
simp only [Obj.iget, fst_map, *, dif_pos, eq_self_iff_true]
cases x
rfl
| 0.0625 |
import Mathlib.Data.Nat.Cast.WithTop
import Mathlib.RingTheory.Prime
import Mathlib.RingTheory.Polynomial.Content
import Mathlib.RingTheory.Ideal.Quotient
#align_import ring_theory.eisenstein_criterion from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff"
open Polynomial Ideal.Quotient
variable {R : Type*} [CommRing R]
namespace Polynomial
open Polynomial
namespace EisensteinCriterionAux
-- Section for auxiliary lemmas used in the proof of `irreducible_of_eisenstein_criterion`
theorem map_eq_C_mul_X_pow_of_forall_coeff_mem {f : R[X]} {P : Ideal R}
(hfP : ∀ n : ℕ, ↑n < f.degree → f.coeff n ∈ P) :
map (mk P) f = C ((mk P) f.leadingCoeff) * X ^ f.natDegree :=
Polynomial.ext fun n => by
by_cases hf0 : f = 0
· simp [hf0]
rcases lt_trichotomy (n : WithBot ℕ) (degree f) with (h | h | h)
· erw [coeff_map, eq_zero_iff_mem.2 (hfP n h), coeff_C_mul, coeff_X_pow, if_neg,
mul_zero]
rintro rfl
exact not_lt_of_ge degree_le_natDegree h
· have : natDegree f = n := natDegree_eq_of_degree_eq_some h.symm
rw [coeff_C_mul, coeff_X_pow, if_pos this.symm, mul_one, leadingCoeff, this, coeff_map]
· rw [coeff_eq_zero_of_degree_lt, coeff_eq_zero_of_degree_lt]
· refine lt_of_le_of_lt (degree_C_mul_X_pow_le _ _) ?_
rwa [← degree_eq_natDegree hf0]
· exact lt_of_le_of_lt (degree_map_le _ _) h
set_option linter.uppercaseLean3 false in
#align polynomial.eisenstein_criterion_aux.map_eq_C_mul_X_pow_of_forall_coeff_mem Polynomial.EisensteinCriterionAux.map_eq_C_mul_X_pow_of_forall_coeff_mem
| Mathlib/RingTheory/EisensteinCriterion.lean | 52 | 61 | theorem le_natDegree_of_map_eq_mul_X_pow {n : ℕ} {P : Ideal R} (hP : P.IsPrime) {q : R[X]}
{c : Polynomial (R ⧸ P)} (hq : map (mk P) q = c * X ^ n) (hc0 : c.degree = 0) :
n ≤ q.natDegree :=
Nat.cast_le.1
(calc
↑n = degree (q.map (mk P)) := by |
rw [hq, degree_mul, hc0, zero_add, degree_pow, degree_X, nsmul_one]
_ ≤ degree q := degree_map_le _ _
_ ≤ natDegree q := degree_le_natDegree
)
| 0.0625 |
import Mathlib.Data.Matrix.Basic
import Mathlib.Data.PEquiv
#align_import data.matrix.pequiv from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
namespace PEquiv
open Matrix
universe u v
variable {k l m n : Type*}
variable {α : Type v}
open Matrix
def toMatrix [DecidableEq n] [Zero α] [One α] (f : m ≃. n) : Matrix m n α :=
of fun i j => if j ∈ f i then (1 : α) else 0
#align pequiv.to_matrix PEquiv.toMatrix
-- TODO: set as an equation lemma for `toMatrix`, see mathlib4#3024
@[simp]
theorem toMatrix_apply [DecidableEq n] [Zero α] [One α] (f : m ≃. n) (i j) :
toMatrix f i j = if j ∈ f i then (1 : α) else 0 :=
rfl
#align pequiv.to_matrix_apply PEquiv.toMatrix_apply
| Mathlib/Data/Matrix/PEquiv.lean | 62 | 67 | theorem mul_matrix_apply [Fintype m] [DecidableEq m] [Semiring α] (f : l ≃. m) (M : Matrix m n α)
(i j) : (f.toMatrix * M :) i j = Option.casesOn (f i) 0 fun fi => M fi j := by |
dsimp [toMatrix, Matrix.mul_apply]
cases' h : f i with fi
· simp [h]
· rw [Finset.sum_eq_single fi] <;> simp (config := { contextual := true }) [h, eq_comm]
| 0.0625 |
import Mathlib.RingTheory.LocalProperties
import Mathlib.RingTheory.Localization.InvSubmonoid
#align_import ring_theory.ring_hom.finite_type from "leanprover-community/mathlib"@"64fc7238fb41b1a4f12ff05e3d5edfa360dd768c"
namespace RingHom
open scoped Pointwise
| Mathlib/RingTheory/RingHom/FiniteType.lean | 24 | 26 | theorem finiteType_stableUnderComposition : StableUnderComposition @FiniteType := by |
introv R hf hg
exact hg.comp hf
| 0.0625 |
import Mathlib.LinearAlgebra.QuadraticForm.TensorProduct
import Mathlib.LinearAlgebra.QuadraticForm.IsometryEquiv
suppress_compilation
universe uR uM₁ uM₂ uM₃ uM₄
variable {R : Type uR} {M₁ : Type uM₁} {M₂ : Type uM₂} {M₃ : Type uM₃} {M₄ : Type uM₄}
open scoped TensorProduct
namespace QuadraticForm
variable [CommRing R]
variable [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M₄]
variable [Module R M₁] [Module R M₂] [Module R M₃] [Module R M₄] [Invertible (2 : R)]
@[simp]
theorem tmul_comp_tensorMap
{Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂}
{Q₃ : QuadraticForm R M₃} {Q₄ : QuadraticForm R M₄}
(f : Q₁ →qᵢ Q₂) (g : Q₃ →qᵢ Q₄) :
(Q₂.tmul Q₄).comp (TensorProduct.map f.toLinearMap g.toLinearMap) = Q₁.tmul Q₃ := by
have h₁ : Q₁ = Q₂.comp f.toLinearMap := QuadraticForm.ext fun x => (f.map_app x).symm
have h₃ : Q₃ = Q₄.comp g.toLinearMap := QuadraticForm.ext fun x => (g.map_app x).symm
refine (QuadraticForm.associated_rightInverse R).injective ?_
ext m₁ m₃ m₁' m₃'
simp [-associated_apply, h₁, h₃, associated_tmul]
@[simp]
theorem tmul_tensorMap_apply
{Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂}
{Q₃ : QuadraticForm R M₃} {Q₄ : QuadraticForm R M₄}
(f : Q₁ →qᵢ Q₂) (g : Q₃ →qᵢ Q₄) (x : M₁ ⊗[R] M₃) :
Q₂.tmul Q₄ (TensorProduct.map f.toLinearMap g.toLinearMap x) = Q₁.tmul Q₃ x :=
DFunLike.congr_fun (tmul_comp_tensorMap f g) x
section tensorAssoc
@[simp]
| Mathlib/LinearAlgebra/QuadraticForm/TensorProduct/Isometries.lean | 114 | 121 | theorem tmul_comp_tensorAssoc
(Q₁ : QuadraticForm R M₁) (Q₂ : QuadraticForm R M₂) (Q₃ : QuadraticForm R M₃) :
(Q₁.tmul (Q₂.tmul Q₃)).comp (TensorProduct.assoc R M₁ M₂ M₃) = (Q₁.tmul Q₂).tmul Q₃ := by |
refine (QuadraticForm.associated_rightInverse R).injective ?_
ext m₁ m₂ m₁' m₂' m₁'' m₂''
dsimp [-associated_apply]
simp only [associated_tmul, QuadraticForm.associated_comp]
exact mul_assoc _ _ _
| 0.0625 |
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Data.Fintype.Option
import Mathlib.Data.Fintype.Pi
import Mathlib.Data.Fintype.Sum
#align_import combinatorics.hales_jewett from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe"
open scoped Classical
universe u v
namespace Combinatorics
structure Line (α ι : Type*) where
idxFun : ι → Option α
proper : ∃ i, idxFun i = none
#align combinatorics.line Combinatorics.Line
namespace Line
-- This lets us treat a line `l : Line α ι` as a function `α → ι → α`.
instance (α ι) : CoeFun (Line α ι) fun _ => α → ι → α :=
⟨fun l x i => (l.idxFun i).getD x⟩
def IsMono {α ι κ} (C : (ι → α) → κ) (l : Line α ι) : Prop :=
∃ c, ∀ x, C (l x) = c
#align combinatorics.line.is_mono Combinatorics.Line.IsMono
def diagonal (α ι) [Nonempty ι] : Line α ι where
idxFun _ := none
proper := ⟨Classical.arbitrary ι, rfl⟩
#align combinatorics.line.diagonal Combinatorics.Line.diagonal
instance (α ι) [Nonempty ι] : Inhabited (Line α ι) :=
⟨diagonal α ι⟩
structure AlmostMono {α ι κ : Type*} (C : (ι → Option α) → κ) where
line : Line (Option α) ι
color : κ
has_color : ∀ x : α, C (line (some x)) = color
#align combinatorics.line.almost_mono Combinatorics.Line.AlmostMono
instance {α ι κ : Type*} [Nonempty ι] [Inhabited κ] :
Inhabited (AlmostMono fun _ : ι → Option α => (default : κ)) :=
⟨{ line := default
color := default
has_color := fun _ ↦ rfl}⟩
structure ColorFocused {α ι κ : Type*} (C : (ι → Option α) → κ) where
lines : Multiset (AlmostMono C)
focus : ι → Option α
is_focused : ∀ p ∈ lines, p.line none = focus
distinct_colors : (lines.map AlmostMono.color).Nodup
#align combinatorics.line.color_focused Combinatorics.Line.ColorFocused
instance {α ι κ} (C : (ι → Option α) → κ) : Inhabited (ColorFocused C) := by
refine ⟨⟨0, fun _ => none, fun h => ?_, Multiset.nodup_zero⟩⟩
simp only [Multiset.not_mem_zero, IsEmpty.forall_iff]
def map {α α' ι} (f : α → α') (l : Line α ι) : Line α' ι where
idxFun i := (l.idxFun i).map f
proper := ⟨l.proper.choose, by simp only [l.proper.choose_spec, Option.map_none']⟩
#align combinatorics.line.map Combinatorics.Line.map
def vertical {α ι ι'} (v : ι → α) (l : Line α ι') : Line α (Sum ι ι') where
idxFun := Sum.elim (some ∘ v) l.idxFun
proper := ⟨Sum.inr l.proper.choose, l.proper.choose_spec⟩
#align combinatorics.line.vertical Combinatorics.Line.vertical
def horizontal {α ι ι'} (l : Line α ι) (v : ι' → α) : Line α (Sum ι ι') where
idxFun := Sum.elim l.idxFun (some ∘ v)
proper := ⟨Sum.inl l.proper.choose, l.proper.choose_spec⟩
#align combinatorics.line.horizontal Combinatorics.Line.horizontal
def prod {α ι ι'} (l : Line α ι) (l' : Line α ι') : Line α (Sum ι ι') where
idxFun := Sum.elim l.idxFun l'.idxFun
proper := ⟨Sum.inl l.proper.choose, l.proper.choose_spec⟩
#align combinatorics.line.prod Combinatorics.Line.prod
theorem apply {α ι} (l : Line α ι) (x : α) : l x = fun i => (l.idxFun i).getD x :=
rfl
#align combinatorics.line.apply Combinatorics.Line.apply
theorem apply_none {α ι} (l : Line α ι) (x : α) (i : ι) (h : l.idxFun i = none) : l x i = x := by
simp only [Option.getD_none, h, l.apply]
#align combinatorics.line.apply_none Combinatorics.Line.apply_none
theorem apply_of_ne_none {α ι} (l : Line α ι) (x : α) (i : ι) (h : l.idxFun i ≠ none) :
some (l x i) = l.idxFun i := by rw [l.apply, Option.getD_of_ne_none h]
#align combinatorics.line.apply_of_ne_none Combinatorics.Line.apply_of_ne_none
@[simp]
| Mathlib/Combinatorics/HalesJewett.lean | 184 | 186 | theorem map_apply {α α' ι} (f : α → α') (l : Line α ι) (x : α) : l.map f (f x) = f ∘ l x := by |
simp only [Line.apply, Line.map, Option.getD_map]
rfl
| 0.0625 |
import Mathlib.Analysis.Convex.Between
import Mathlib.Analysis.Convex.Normed
import Mathlib.Analysis.Normed.Group.AddTorsor
#align_import analysis.convex.side from "leanprover-community/mathlib"@"a63928c34ec358b5edcda2bf7513c50052a5230f"
variable {R V V' P P' : Type*}
open AffineEquiv AffineMap
namespace AffineSubspace
section StrictOrderedCommRing
variable [StrictOrderedCommRing R] [AddCommGroup V] [Module R V] [AddTorsor V P]
variable [AddCommGroup V'] [Module R V'] [AddTorsor V' P']
def WSameSide (s : AffineSubspace R P) (x y : P) : Prop :=
∃ᵉ (p₁ ∈ s) (p₂ ∈ s), SameRay R (x -ᵥ p₁) (y -ᵥ p₂)
#align affine_subspace.w_same_side AffineSubspace.WSameSide
def SSameSide (s : AffineSubspace R P) (x y : P) : Prop :=
s.WSameSide x y ∧ x ∉ s ∧ y ∉ s
#align affine_subspace.s_same_side AffineSubspace.SSameSide
def WOppSide (s : AffineSubspace R P) (x y : P) : Prop :=
∃ᵉ (p₁ ∈ s) (p₂ ∈ s), SameRay R (x -ᵥ p₁) (p₂ -ᵥ y)
#align affine_subspace.w_opp_side AffineSubspace.WOppSide
def SOppSide (s : AffineSubspace R P) (x y : P) : Prop :=
s.WOppSide x y ∧ x ∉ s ∧ y ∉ s
#align affine_subspace.s_opp_side AffineSubspace.SOppSide
theorem WSameSide.map {s : AffineSubspace R P} {x y : P} (h : s.WSameSide x y) (f : P →ᵃ[R] P') :
(s.map f).WSameSide (f x) (f y) := by
rcases h with ⟨p₁, hp₁, p₂, hp₂, h⟩
refine ⟨f p₁, mem_map_of_mem f hp₁, f p₂, mem_map_of_mem f hp₂, ?_⟩
simp_rw [← linearMap_vsub]
exact h.map f.linear
#align affine_subspace.w_same_side.map AffineSubspace.WSameSide.map
theorem _root_.Function.Injective.wSameSide_map_iff {s : AffineSubspace R P} {x y : P}
{f : P →ᵃ[R] P'} (hf : Function.Injective f) :
(s.map f).WSameSide (f x) (f y) ↔ s.WSameSide x y := by
refine ⟨fun h => ?_, fun h => h.map _⟩
rcases h with ⟨fp₁, hfp₁, fp₂, hfp₂, h⟩
rw [mem_map] at hfp₁ hfp₂
rcases hfp₁ with ⟨p₁, hp₁, rfl⟩
rcases hfp₂ with ⟨p₂, hp₂, rfl⟩
refine ⟨p₁, hp₁, p₂, hp₂, ?_⟩
simp_rw [← linearMap_vsub, (f.linear_injective_iff.2 hf).sameRay_map_iff] at h
exact h
#align function.injective.w_same_side_map_iff Function.Injective.wSameSide_map_iff
| Mathlib/Analysis/Convex/Side.lean | 83 | 86 | theorem _root_.Function.Injective.sSameSide_map_iff {s : AffineSubspace R P} {x y : P}
{f : P →ᵃ[R] P'} (hf : Function.Injective f) :
(s.map f).SSameSide (f x) (f y) ↔ s.SSameSide x y := by |
simp_rw [SSameSide, hf.wSameSide_map_iff, mem_map_iff_mem_of_injective hf]
| 0.0625 |
import Mathlib.Data.Finset.Basic
import Mathlib.ModelTheory.Syntax
import Mathlib.Data.List.ProdSigma
#align_import model_theory.semantics from "leanprover-community/mathlib"@"d565b3df44619c1498326936be16f1a935df0728"
universe u v w u' v'
namespace FirstOrder
namespace Language
variable {L : Language.{u, v}} {L' : Language}
variable {M : Type w} {N P : Type*} [L.Structure M] [L.Structure N] [L.Structure P]
variable {α : Type u'} {β : Type v'} {γ : Type*}
open FirstOrder Cardinal
open Structure Cardinal Fin
namespace Term
-- Porting note: universes in different order
def realize (v : α → M) : ∀ _t : L.Term α, M
| var k => v k
| func f ts => funMap f fun i => (ts i).realize v
#align first_order.language.term.realize FirstOrder.Language.Term.realize
@[simp]
theorem realize_var (v : α → M) (k) : realize v (var k : L.Term α) = v k := rfl
@[simp]
theorem realize_func (v : α → M) {n} (f : L.Functions n) (ts) :
realize v (func f ts : L.Term α) = funMap f fun i => (ts i).realize v := rfl
@[simp]
theorem realize_relabel {t : L.Term α} {g : α → β} {v : β → M} :
(t.relabel g).realize v = t.realize (v ∘ g) := by
induction' t with _ n f ts ih
· rfl
· simp [ih]
#align first_order.language.term.realize_relabel FirstOrder.Language.Term.realize_relabel
@[simp]
theorem realize_liftAt {n n' m : ℕ} {t : L.Term (Sum α (Fin n))} {v : Sum α (Fin (n + n')) → M} :
(t.liftAt n' m).realize v =
t.realize (v ∘ Sum.map id fun i : Fin _ =>
if ↑i < m then Fin.castAdd n' i else Fin.addNat i n') :=
realize_relabel
#align first_order.language.term.realize_lift_at FirstOrder.Language.Term.realize_liftAt
@[simp]
theorem realize_constants {c : L.Constants} {v : α → M} : c.term.realize v = c :=
funMap_eq_coe_constants
#align first_order.language.term.realize_constants FirstOrder.Language.Term.realize_constants
@[simp]
theorem realize_functions_apply₁ {f : L.Functions 1} {t : L.Term α} {v : α → M} :
(f.apply₁ t).realize v = funMap f ![t.realize v] := by
rw [Functions.apply₁, Term.realize]
refine congr rfl (funext fun i => ?_)
simp only [Matrix.cons_val_fin_one]
#align first_order.language.term.realize_functions_apply₁ FirstOrder.Language.Term.realize_functions_apply₁
@[simp]
| Mathlib/ModelTheory/Semantics.lean | 117 | 122 | theorem realize_functions_apply₂ {f : L.Functions 2} {t₁ t₂ : L.Term α} {v : α → M} :
(f.apply₂ t₁ t₂).realize v = funMap f ![t₁.realize v, t₂.realize v] := by |
rw [Functions.apply₂, Term.realize]
refine congr rfl (funext (Fin.cases ?_ ?_))
· simp only [Matrix.cons_val_zero]
· simp only [Matrix.cons_val_succ, Matrix.cons_val_fin_one, forall_const]
| 0.0625 |
import Mathlib.NumberTheory.Zsqrtd.Basic
import Mathlib.RingTheory.PrincipalIdealDomain
import Mathlib.Data.Complex.Basic
import Mathlib.Data.Real.Archimedean
#align_import number_theory.zsqrtd.gaussian_int from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9"
open Zsqrtd Complex
open scoped ComplexConjugate
abbrev GaussianInt : Type :=
Zsqrtd (-1)
#align gaussian_int GaussianInt
local notation "ℤ[i]" => GaussianInt
namespace GaussianInt
instance : Repr ℤ[i] :=
⟨fun x _ => "⟨" ++ repr x.re ++ ", " ++ repr x.im ++ "⟩"⟩
instance instCommRing : CommRing ℤ[i] :=
Zsqrtd.commRing
#align gaussian_int.comm_ring GaussianInt.instCommRing
section
attribute [-instance] Complex.instField -- Avoid making things noncomputable unnecessarily.
def toComplex : ℤ[i] →+* ℂ :=
Zsqrtd.lift ⟨I, by simp⟩
#align gaussian_int.to_complex GaussianInt.toComplex
end
instance : Coe ℤ[i] ℂ :=
⟨toComplex⟩
theorem toComplex_def (x : ℤ[i]) : (x : ℂ) = x.re + x.im * I :=
rfl
#align gaussian_int.to_complex_def GaussianInt.toComplex_def
theorem toComplex_def' (x y : ℤ) : ((⟨x, y⟩ : ℤ[i]) : ℂ) = x + y * I := by simp [toComplex_def]
#align gaussian_int.to_complex_def' GaussianInt.toComplex_def'
theorem toComplex_def₂ (x : ℤ[i]) : (x : ℂ) = ⟨x.re, x.im⟩ := by
apply Complex.ext <;> simp [toComplex_def]
#align gaussian_int.to_complex_def₂ GaussianInt.toComplex_def₂
@[simp]
theorem to_real_re (x : ℤ[i]) : ((x.re : ℤ) : ℝ) = (x : ℂ).re := by simp [toComplex_def]
#align gaussian_int.to_real_re GaussianInt.to_real_re
@[simp]
theorem to_real_im (x : ℤ[i]) : ((x.im : ℤ) : ℝ) = (x : ℂ).im := by simp [toComplex_def]
#align gaussian_int.to_real_im GaussianInt.to_real_im
@[simp]
theorem toComplex_re (x y : ℤ) : ((⟨x, y⟩ : ℤ[i]) : ℂ).re = x := by simp [toComplex_def]
#align gaussian_int.to_complex_re GaussianInt.toComplex_re
@[simp]
theorem toComplex_im (x y : ℤ) : ((⟨x, y⟩ : ℤ[i]) : ℂ).im = y := by simp [toComplex_def]
#align gaussian_int.to_complex_im GaussianInt.toComplex_im
-- Porting note (#10618): @[simp] can prove this
theorem toComplex_add (x y : ℤ[i]) : ((x + y : ℤ[i]) : ℂ) = x + y :=
toComplex.map_add _ _
#align gaussian_int.to_complex_add GaussianInt.toComplex_add
-- Porting note (#10618): @[simp] can prove this
theorem toComplex_mul (x y : ℤ[i]) : ((x * y : ℤ[i]) : ℂ) = x * y :=
toComplex.map_mul _ _
#align gaussian_int.to_complex_mul GaussianInt.toComplex_mul
-- Porting note (#10618): @[simp] can prove this
theorem toComplex_one : ((1 : ℤ[i]) : ℂ) = 1 :=
toComplex.map_one
#align gaussian_int.to_complex_one GaussianInt.toComplex_one
-- Porting note (#10618): @[simp] can prove this
theorem toComplex_zero : ((0 : ℤ[i]) : ℂ) = 0 :=
toComplex.map_zero
#align gaussian_int.to_complex_zero GaussianInt.toComplex_zero
-- Porting note (#10618): @[simp] can prove this
theorem toComplex_neg (x : ℤ[i]) : ((-x : ℤ[i]) : ℂ) = -x :=
toComplex.map_neg _
#align gaussian_int.to_complex_neg GaussianInt.toComplex_neg
-- Porting note (#10618): @[simp] can prove this
theorem toComplex_sub (x y : ℤ[i]) : ((x - y : ℤ[i]) : ℂ) = x - y :=
toComplex.map_sub _ _
#align gaussian_int.to_complex_sub GaussianInt.toComplex_sub
@[simp]
theorem toComplex_star (x : ℤ[i]) : ((star x : ℤ[i]) : ℂ) = conj (x : ℂ) := by
rw [toComplex_def₂, toComplex_def₂]
exact congr_arg₂ _ rfl (Int.cast_neg _)
#align gaussian_int.to_complex_star GaussianInt.toComplex_star
@[simp]
| Mathlib/NumberTheory/Zsqrtd/GaussianInt.lean | 141 | 142 | theorem toComplex_inj {x y : ℤ[i]} : (x : ℂ) = y ↔ x = y := by |
cases x; cases y; simp [toComplex_def₂]
| 0.0625 |
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Monic
import Mathlib.Algebra.Ring.Action.Basic
import Mathlib.GroupTheory.GroupAction.Hom
import Mathlib.GroupTheory.GroupAction.Quotient
#align_import algebra.polynomial.group_ring_action from "leanprover-community/mathlib"@"afad8e438d03f9d89da2914aa06cb4964ba87a18"
variable (M : Type*) [Monoid M]
open Polynomial
namespace Polynomial
variable (R : Type*) [Semiring R]
variable {M}
-- Porting note: changed `(· • ·) m` to `HSMul.hSMul m`
| Mathlib/Algebra/Polynomial/GroupRingAction.lean | 31 | 39 | theorem smul_eq_map [MulSemiringAction M R] (m : M) :
HSMul.hSMul m = map (MulSemiringAction.toRingHom M R m) := by |
suffices DistribMulAction.toAddMonoidHom R[X] m =
(mapRingHom (MulSemiringAction.toRingHom M R m)).toAddMonoidHom by
ext1 r
exact DFunLike.congr_fun this r
ext n r : 2
change m • monomial n r = map (MulSemiringAction.toRingHom M R m) (monomial n r)
rw [Polynomial.map_monomial, Polynomial.smul_monomial, MulSemiringAction.toRingHom_apply]
| 0.0625 |
import Mathlib.RingTheory.WittVector.Frobenius
import Mathlib.RingTheory.WittVector.Verschiebung
import Mathlib.RingTheory.WittVector.MulP
#align_import ring_theory.witt_vector.identities from "leanprover-community/mathlib"@"0798037604b2d91748f9b43925fb7570a5f3256c"
namespace WittVector
variable {p : ℕ} {R : Type*} [hp : Fact p.Prime] [CommRing R]
-- type as `\bbW`
local notation "𝕎" => WittVector p
noncomputable section
-- Porting note: `ghost_calc` failure: `simp only []` and the manual instances had to be added.
theorem frobenius_verschiebung (x : 𝕎 R) : frobenius (verschiebung x) = x * p := by
have : IsPoly p fun {R} [CommRing R] x ↦ frobenius (verschiebung x) :=
IsPoly.comp (hg := frobenius_isPoly p) (hf := verschiebung_isPoly)
have : IsPoly p fun {R} [CommRing R] x ↦ x * p := mulN_isPoly p p
ghost_calc x
ghost_simp [mul_comm]
#align witt_vector.frobenius_verschiebung WittVector.frobenius_verschiebung
theorem verschiebung_zmod (x : 𝕎 (ZMod p)) : verschiebung x = x * p := by
rw [← frobenius_verschiebung, frobenius_zmodp]
#align witt_vector.verschiebung_zmod WittVector.verschiebung_zmod
variable (p R)
theorem coeff_p_pow [CharP R p] (i : ℕ) : ((p : 𝕎 R) ^ i).coeff i = 1 := by
induction' i with i h
· simp only [Nat.zero_eq, one_coeff_zero, Ne, pow_zero]
· rw [pow_succ, ← frobenius_verschiebung, coeff_frobenius_charP,
verschiebung_coeff_succ, h, one_pow]
#align witt_vector.coeff_p_pow WittVector.coeff_p_pow
| Mathlib/RingTheory/WittVector/Identities.lean | 64 | 71 | theorem coeff_p_pow_eq_zero [CharP R p] {i j : ℕ} (hj : j ≠ i) : ((p : 𝕎 R) ^ i).coeff j = 0 := by |
induction' i with i hi generalizing j
· rw [pow_zero, one_coeff_eq_of_pos]
exact Nat.pos_of_ne_zero hj
· rw [pow_succ, ← frobenius_verschiebung, coeff_frobenius_charP]
cases j
· rw [verschiebung_coeff_zero, zero_pow hp.out.ne_zero]
· rw [verschiebung_coeff_succ, hi (ne_of_apply_ne _ hj), zero_pow hp.out.ne_zero]
| 0.0625 |
import Mathlib.Topology.MetricSpace.HausdorffDistance
#align_import topology.metric_space.pi_nat from "leanprover-community/mathlib"@"49b7f94aab3a3bdca1f9f34c5d818afb253b3993"
noncomputable section
open scoped Classical
open Topology Filter
open TopologicalSpace Set Metric Filter Function
attribute [local simp] pow_le_pow_iff_right one_lt_two inv_le_inv zero_le_two zero_lt_two
variable {E : ℕ → Type*}
namespace PiNat
irreducible_def firstDiff (x y : ∀ n, E n) : ℕ :=
if h : x ≠ y then Nat.find (ne_iff.1 h) else 0
#align pi_nat.first_diff PiNat.firstDiff
theorem apply_firstDiff_ne {x y : ∀ n, E n} (h : x ≠ y) :
x (firstDiff x y) ≠ y (firstDiff x y) := by
rw [firstDiff_def, dif_pos h]
exact Nat.find_spec (ne_iff.1 h)
#align pi_nat.apply_first_diff_ne PiNat.apply_firstDiff_ne
theorem apply_eq_of_lt_firstDiff {x y : ∀ n, E n} {n : ℕ} (hn : n < firstDiff x y) : x n = y n := by
rw [firstDiff_def] at hn
split_ifs at hn with h
· convert Nat.find_min (ne_iff.1 h) hn
simp
· exact (not_lt_zero' hn).elim
#align pi_nat.apply_eq_of_lt_first_diff PiNat.apply_eq_of_lt_firstDiff
theorem firstDiff_comm (x y : ∀ n, E n) : firstDiff x y = firstDiff y x := by
simp only [firstDiff_def, ne_comm]
#align pi_nat.first_diff_comm PiNat.firstDiff_comm
theorem min_firstDiff_le (x y z : ∀ n, E n) (h : x ≠ z) :
min (firstDiff x y) (firstDiff y z) ≤ firstDiff x z := by
by_contra! H
rw [lt_min_iff] at H
refine apply_firstDiff_ne h ?_
calc
x (firstDiff x z) = y (firstDiff x z) := apply_eq_of_lt_firstDiff H.1
_ = z (firstDiff x z) := apply_eq_of_lt_firstDiff H.2
#align pi_nat.min_first_diff_le PiNat.min_firstDiff_le
def cylinder (x : ∀ n, E n) (n : ℕ) : Set (∀ n, E n) :=
{ y | ∀ i, i < n → y i = x i }
#align pi_nat.cylinder PiNat.cylinder
theorem cylinder_eq_pi (x : ∀ n, E n) (n : ℕ) :
cylinder x n = Set.pi (Finset.range n : Set ℕ) fun i : ℕ => {x i} := by
ext y
simp [cylinder]
#align pi_nat.cylinder_eq_pi PiNat.cylinder_eq_pi
@[simp]
theorem cylinder_zero (x : ∀ n, E n) : cylinder x 0 = univ := by simp [cylinder_eq_pi]
#align pi_nat.cylinder_zero PiNat.cylinder_zero
theorem cylinder_anti (x : ∀ n, E n) {m n : ℕ} (h : m ≤ n) : cylinder x n ⊆ cylinder x m :=
fun _y hy i hi => hy i (hi.trans_le h)
#align pi_nat.cylinder_anti PiNat.cylinder_anti
@[simp]
theorem mem_cylinder_iff {x y : ∀ n, E n} {n : ℕ} : y ∈ cylinder x n ↔ ∀ i < n, y i = x i :=
Iff.rfl
#align pi_nat.mem_cylinder_iff PiNat.mem_cylinder_iff
theorem self_mem_cylinder (x : ∀ n, E n) (n : ℕ) : x ∈ cylinder x n := by simp
#align pi_nat.self_mem_cylinder PiNat.self_mem_cylinder
theorem mem_cylinder_iff_eq {x y : ∀ n, E n} {n : ℕ} :
y ∈ cylinder x n ↔ cylinder y n = cylinder x n := by
constructor
· intro hy
apply Subset.antisymm
· intro z hz i hi
rw [← hy i hi]
exact hz i hi
· intro z hz i hi
rw [hy i hi]
exact hz i hi
· intro h
rw [← h]
exact self_mem_cylinder _ _
#align pi_nat.mem_cylinder_iff_eq PiNat.mem_cylinder_iff_eq
theorem mem_cylinder_comm (x y : ∀ n, E n) (n : ℕ) : y ∈ cylinder x n ↔ x ∈ cylinder y n := by
simp [mem_cylinder_iff_eq, eq_comm]
#align pi_nat.mem_cylinder_comm PiNat.mem_cylinder_comm
| Mathlib/Topology/MetricSpace/PiNat.lean | 154 | 161 | theorem mem_cylinder_iff_le_firstDiff {x y : ∀ n, E n} (hne : x ≠ y) (i : ℕ) :
x ∈ cylinder y i ↔ i ≤ firstDiff x y := by |
constructor
· intro h
by_contra!
exact apply_firstDiff_ne hne (h _ this)
· intro hi j hj
exact apply_eq_of_lt_firstDiff (hj.trans_le hi)
| 0.0625 |
import Mathlib.Data.Finset.Grade
import Mathlib.Order.Interval.Finset.Basic
#align_import data.finset.interval from "leanprover-community/mathlib"@"98e83c3d541c77cdb7da20d79611a780ff8e7d90"
variable {α β : Type*}
namespace Finset
section Decidable
variable [DecidableEq α] (s t : Finset α)
instance instLocallyFiniteOrder : LocallyFiniteOrder (Finset α) where
finsetIcc s t := t.powerset.filter (s ⊆ ·)
finsetIco s t := t.ssubsets.filter (s ⊆ ·)
finsetIoc s t := t.powerset.filter (s ⊂ ·)
finsetIoo s t := t.ssubsets.filter (s ⊂ ·)
finset_mem_Icc s t u := by
rw [mem_filter, mem_powerset]
exact and_comm
finset_mem_Ico s t u := by
rw [mem_filter, mem_ssubsets]
exact and_comm
finset_mem_Ioc s t u := by
rw [mem_filter, mem_powerset]
exact and_comm
finset_mem_Ioo s t u := by
rw [mem_filter, mem_ssubsets]
exact and_comm
theorem Icc_eq_filter_powerset : Icc s t = t.powerset.filter (s ⊆ ·) :=
rfl
#align finset.Icc_eq_filter_powerset Finset.Icc_eq_filter_powerset
theorem Ico_eq_filter_ssubsets : Ico s t = t.ssubsets.filter (s ⊆ ·) :=
rfl
#align finset.Ico_eq_filter_ssubsets Finset.Ico_eq_filter_ssubsets
theorem Ioc_eq_filter_powerset : Ioc s t = t.powerset.filter (s ⊂ ·) :=
rfl
#align finset.Ioc_eq_filter_powerset Finset.Ioc_eq_filter_powerset
theorem Ioo_eq_filter_ssubsets : Ioo s t = t.ssubsets.filter (s ⊂ ·) :=
rfl
#align finset.Ioo_eq_filter_ssubsets Finset.Ioo_eq_filter_ssubsets
theorem Iic_eq_powerset : Iic s = s.powerset :=
filter_true_of_mem fun t _ => empty_subset t
#align finset.Iic_eq_powerset Finset.Iic_eq_powerset
theorem Iio_eq_ssubsets : Iio s = s.ssubsets :=
filter_true_of_mem fun t _ => empty_subset t
#align finset.Iio_eq_ssubsets Finset.Iio_eq_ssubsets
variable {s t}
theorem Icc_eq_image_powerset (h : s ⊆ t) : Icc s t = (t \ s).powerset.image (s ∪ ·) := by
ext u
simp_rw [mem_Icc, mem_image, mem_powerset]
constructor
· rintro ⟨hs, ht⟩
exact ⟨u \ s, sdiff_le_sdiff_right ht, sup_sdiff_cancel_right hs⟩
· rintro ⟨v, hv, rfl⟩
exact ⟨le_sup_left, union_subset h <| hv.trans sdiff_subset⟩
#align finset.Icc_eq_image_powerset Finset.Icc_eq_image_powerset
theorem Ico_eq_image_ssubsets (h : s ⊆ t) : Ico s t = (t \ s).ssubsets.image (s ∪ ·) := by
ext u
simp_rw [mem_Ico, mem_image, mem_ssubsets]
constructor
· rintro ⟨hs, ht⟩
exact ⟨u \ s, sdiff_lt_sdiff_right ht hs, sup_sdiff_cancel_right hs⟩
· rintro ⟨v, hv, rfl⟩
exact ⟨le_sup_left, sup_lt_of_lt_sdiff_left hv h⟩
#align finset.Ico_eq_image_ssubsets Finset.Ico_eq_image_ssubsets
| Mathlib/Data/Finset/Interval.lean | 101 | 106 | theorem card_Icc_finset (h : s ⊆ t) : (Icc s t).card = 2 ^ (t.card - s.card) := by |
rw [← card_sdiff h, ← card_powerset, Icc_eq_image_powerset h, Finset.card_image_iff]
rintro u hu v hv (huv : s ⊔ u = s ⊔ v)
rw [mem_coe, mem_powerset] at hu hv
rw [← (disjoint_sdiff.mono_right hu : Disjoint s u).sup_sdiff_cancel_left, ←
(disjoint_sdiff.mono_right hv : Disjoint s v).sup_sdiff_cancel_left, huv]
| 0.0625 |
import Mathlib.Data.Fintype.List
#align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49"
assert_not_exists MonoidWithZero
open List
def Cycle (α : Type*) : Type _ :=
Quotient (IsRotated.setoid α)
#align cycle Cycle
namespace Cycle
variable {α : Type*}
-- Porting note (#11445): new definition
@[coe] def ofList : List α → Cycle α :=
Quot.mk _
instance : Coe (List α) (Cycle α) :=
⟨ofList⟩
@[simp]
theorem coe_eq_coe {l₁ l₂ : List α} : (l₁ : Cycle α) = (l₂ : Cycle α) ↔ l₁ ~r l₂ :=
@Quotient.eq _ (IsRotated.setoid _) _ _
#align cycle.coe_eq_coe Cycle.coe_eq_coe
@[simp]
theorem mk_eq_coe (l : List α) : Quot.mk _ l = (l : Cycle α) :=
rfl
#align cycle.mk_eq_coe Cycle.mk_eq_coe
@[simp]
theorem mk''_eq_coe (l : List α) : Quotient.mk'' l = (l : Cycle α) :=
rfl
#align cycle.mk'_eq_coe Cycle.mk''_eq_coe
theorem coe_cons_eq_coe_append (l : List α) (a : α) :
(↑(a :: l) : Cycle α) = (↑(l ++ [a]) : Cycle α) :=
Quot.sound ⟨1, by rw [rotate_cons_succ, rotate_zero]⟩
#align cycle.coe_cons_eq_coe_append Cycle.coe_cons_eq_coe_append
def nil : Cycle α :=
([] : List α)
#align cycle.nil Cycle.nil
@[simp]
theorem coe_nil : ↑([] : List α) = @nil α :=
rfl
#align cycle.coe_nil Cycle.coe_nil
@[simp]
theorem coe_eq_nil (l : List α) : (l : Cycle α) = nil ↔ l = [] :=
coe_eq_coe.trans isRotated_nil_iff
#align cycle.coe_eq_nil Cycle.coe_eq_nil
instance : EmptyCollection (Cycle α) :=
⟨nil⟩
@[simp]
theorem empty_eq : ∅ = @nil α :=
rfl
#align cycle.empty_eq Cycle.empty_eq
instance : Inhabited (Cycle α) :=
⟨nil⟩
@[elab_as_elim]
theorem induction_on {C : Cycle α → Prop} (s : Cycle α) (H0 : C nil)
(HI : ∀ (a) (l : List α), C ↑l → C ↑(a :: l)) : C s :=
Quotient.inductionOn' s fun l => by
refine List.recOn l ?_ ?_ <;> simp
assumption'
#align cycle.induction_on Cycle.induction_on
def Mem (a : α) (s : Cycle α) : Prop :=
Quot.liftOn s (fun l => a ∈ l) fun _ _ e => propext <| e.mem_iff
#align cycle.mem Cycle.Mem
instance : Membership α (Cycle α) :=
⟨Mem⟩
@[simp]
theorem mem_coe_iff {a : α} {l : List α} : a ∈ (↑l : Cycle α) ↔ a ∈ l :=
Iff.rfl
#align cycle.mem_coe_iff Cycle.mem_coe_iff
@[simp]
theorem not_mem_nil : ∀ a, a ∉ @nil α :=
List.not_mem_nil
#align cycle.not_mem_nil Cycle.not_mem_nil
instance [DecidableEq α] : DecidableEq (Cycle α) := fun s₁ s₂ =>
Quotient.recOnSubsingleton₂' s₁ s₂ fun _ _ => decidable_of_iff' _ Quotient.eq''
instance [DecidableEq α] (x : α) (s : Cycle α) : Decidable (x ∈ s) :=
Quotient.recOnSubsingleton' s fun l => show Decidable (x ∈ l) from inferInstance
nonrec def reverse (s : Cycle α) : Cycle α :=
Quot.map reverse (fun _ _ => IsRotated.reverse) s
#align cycle.reverse Cycle.reverse
@[simp]
theorem reverse_coe (l : List α) : (l : Cycle α).reverse = l.reverse :=
rfl
#align cycle.reverse_coe Cycle.reverse_coe
@[simp]
theorem mem_reverse_iff {a : α} {s : Cycle α} : a ∈ s.reverse ↔ a ∈ s :=
Quot.inductionOn s fun _ => mem_reverse
#align cycle.mem_reverse_iff Cycle.mem_reverse_iff
@[simp]
theorem reverse_reverse (s : Cycle α) : s.reverse.reverse = s :=
Quot.inductionOn s fun _ => by simp
#align cycle.reverse_reverse Cycle.reverse_reverse
@[simp]
theorem reverse_nil : nil.reverse = @nil α :=
rfl
#align cycle.reverse_nil Cycle.reverse_nil
def length (s : Cycle α) : ℕ :=
Quot.liftOn s List.length fun _ _ e => e.perm.length_eq
#align cycle.length Cycle.length
@[simp]
theorem length_coe (l : List α) : length (l : Cycle α) = l.length :=
rfl
#align cycle.length_coe Cycle.length_coe
@[simp]
theorem length_nil : length (@nil α) = 0 :=
rfl
#align cycle.length_nil Cycle.length_nil
@[simp]
theorem length_reverse (s : Cycle α) : s.reverse.length = s.length :=
Quot.inductionOn s List.length_reverse
#align cycle.length_reverse Cycle.length_reverse
def Subsingleton (s : Cycle α) : Prop :=
s.length ≤ 1
#align cycle.subsingleton Cycle.Subsingleton
theorem subsingleton_nil : Subsingleton (@nil α) := Nat.zero_le _
#align cycle.subsingleton_nil Cycle.subsingleton_nil
theorem length_subsingleton_iff {s : Cycle α} : Subsingleton s ↔ length s ≤ 1 :=
Iff.rfl
#align cycle.length_subsingleton_iff Cycle.length_subsingleton_iff
@[simp]
| Mathlib/Data/List/Cycle.lean | 601 | 602 | theorem subsingleton_reverse_iff {s : Cycle α} : s.reverse.Subsingleton ↔ s.Subsingleton := by |
simp [length_subsingleton_iff]
| 0.0625 |
import Mathlib.Algebra.Star.Basic
import Mathlib.Data.Set.Finite
import Mathlib.Data.Set.Pointwise.Basic
#align_import algebra.star.pointwise from "leanprover-community/mathlib"@"30413fc89f202a090a54d78e540963ed3de0056e"
namespace Set
open Pointwise
local postfix:max "⋆" => star
variable {α : Type*} {s t : Set α} {a : α}
protected def star [Star α] : Star (Set α) := ⟨preimage Star.star⟩
#align set.has_star Set.star
scoped[Pointwise] attribute [instance] Set.star
@[simp]
theorem star_empty [Star α] : (∅ : Set α)⋆ = ∅ := rfl
#align set.star_empty Set.star_empty
@[simp]
theorem star_univ [Star α] : (univ : Set α)⋆ = univ := rfl
#align set.star_univ Set.star_univ
@[simp]
theorem nonempty_star [InvolutiveStar α] {s : Set α} : s⋆.Nonempty ↔ s.Nonempty :=
star_involutive.surjective.nonempty_preimage
#align set.nonempty_star Set.nonempty_star
theorem Nonempty.star [InvolutiveStar α] {s : Set α} (h : s.Nonempty) : s⋆.Nonempty :=
nonempty_star.2 h
#align set.nonempty.star Set.Nonempty.star
@[simp]
theorem mem_star [Star α] : a ∈ s⋆ ↔ a⋆ ∈ s := Iff.rfl
#align set.mem_star Set.mem_star
theorem star_mem_star [InvolutiveStar α] : a⋆ ∈ s⋆ ↔ a ∈ s := by simp only [mem_star, star_star]
#align set.star_mem_star Set.star_mem_star
@[simp]
theorem star_preimage [Star α] : Star.star ⁻¹' s = s⋆ := rfl
#align set.star_preimage Set.star_preimage
@[simp]
theorem image_star [InvolutiveStar α] : Star.star '' s = s⋆ := by
simp only [← star_preimage]
rw [image_eq_preimage_of_inverse] <;> intro <;> simp only [star_star]
#align set.image_star Set.image_star
@[simp]
theorem inter_star [Star α] : (s ∩ t)⋆ = s⋆ ∩ t⋆ := preimage_inter
#align set.inter_star Set.inter_star
@[simp]
theorem union_star [Star α] : (s ∪ t)⋆ = s⋆ ∪ t⋆ := preimage_union
#align set.union_star Set.union_star
@[simp]
theorem iInter_star {ι : Sort*} [Star α] (s : ι → Set α) : (⋂ i, s i)⋆ = ⋂ i, (s i)⋆ :=
preimage_iInter
#align set.Inter_star Set.iInter_star
@[simp]
theorem iUnion_star {ι : Sort*} [Star α] (s : ι → Set α) : (⋃ i, s i)⋆ = ⋃ i, (s i)⋆ :=
preimage_iUnion
#align set.Union_star Set.iUnion_star
@[simp]
theorem compl_star [Star α] : sᶜ⋆ = s⋆ᶜ := preimage_compl
#align set.compl_star Set.compl_star
@[simp]
instance [InvolutiveStar α] : InvolutiveStar (Set α) where
star := Star.star
star_involutive s := by simp only [← star_preimage, preimage_preimage, star_star, preimage_id']
@[simp]
theorem star_subset_star [InvolutiveStar α] {s t : Set α} : s⋆ ⊆ t⋆ ↔ s ⊆ t :=
Equiv.star.surjective.preimage_subset_preimage_iff
#align set.star_subset_star Set.star_subset_star
theorem star_subset [InvolutiveStar α] {s t : Set α} : s⋆ ⊆ t ↔ s ⊆ t⋆ := by
rw [← star_subset_star, star_star]
#align set.star_subset Set.star_subset
theorem Finite.star [InvolutiveStar α] {s : Set α} (hs : s.Finite) : s⋆.Finite :=
hs.preimage star_injective.injOn
#align set.finite.star Set.Finite.star
| Mathlib/Algebra/Star/Pointwise.lean | 115 | 117 | theorem star_singleton {β : Type*} [InvolutiveStar β] (x : β) : ({x} : Set β)⋆ = {x⋆} := by |
ext1 y
rw [mem_star, mem_singleton_iff, mem_singleton_iff, star_eq_iff_star_eq, eq_comm]
| 0.0625 |
import Mathlib.Data.Set.Lattice
#align_import data.set.accumulate from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
variable {α β γ : Type*} {s : α → Set β} {t : α → Set γ}
namespace Set
def Accumulate [LE α] (s : α → Set β) (x : α) : Set β :=
⋃ y ≤ x, s y
#align set.accumulate Set.Accumulate
theorem accumulate_def [LE α] {x : α} : Accumulate s x = ⋃ y ≤ x, s y :=
rfl
#align set.accumulate_def Set.accumulate_def
@[simp]
theorem mem_accumulate [LE α] {x : α} {z : β} : z ∈ Accumulate s x ↔ ∃ y ≤ x, z ∈ s y := by
simp_rw [accumulate_def, mem_iUnion₂, exists_prop]
#align set.mem_accumulate Set.mem_accumulate
theorem subset_accumulate [Preorder α] {x : α} : s x ⊆ Accumulate s x := fun _ => mem_biUnion le_rfl
#align set.subset_accumulate Set.subset_accumulate
theorem accumulate_subset_iUnion [Preorder α] (x : α) : Accumulate s x ⊆ ⋃ i, s i :=
(biUnion_subset_biUnion_left (subset_univ _)).trans_eq (biUnion_univ _)
theorem monotone_accumulate [Preorder α] : Monotone (Accumulate s) := fun _ _ hxy =>
biUnion_subset_biUnion_left fun _ hz => le_trans hz hxy
#align set.monotone_accumulate Set.monotone_accumulate
@[gcongr]
theorem accumulate_subset_accumulate [Preorder α] {x y} (h : x ≤ y) :
Accumulate s x ⊆ Accumulate s y :=
monotone_accumulate h
theorem biUnion_accumulate [Preorder α] (x : α) : ⋃ y ≤ x, Accumulate s y = ⋃ y ≤ x, s y := by
apply Subset.antisymm
· exact iUnion₂_subset fun y hy => monotone_accumulate hy
· exact iUnion₂_mono fun y _ => subset_accumulate
#align set.bUnion_accumulate Set.biUnion_accumulate
| Mathlib/Data/Set/Accumulate.lean | 56 | 61 | theorem iUnion_accumulate [Preorder α] : ⋃ x, Accumulate s x = ⋃ x, s x := by |
apply Subset.antisymm
· simp only [subset_def, mem_iUnion, exists_imp, mem_accumulate]
intro z x x' ⟨_, hz⟩
exact ⟨x', hz⟩
· exact iUnion_mono fun i => subset_accumulate
| 0.0625 |
import Mathlib.Algebra.CharP.Basic
import Mathlib.Algebra.CharP.Algebra
import Mathlib.Data.Nat.Prime
#align_import algebra.char_p.exp_char from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe u
variable (R : Type u)
section Semiring
variable [Semiring R]
class inductive ExpChar (R : Type u) [Semiring R] : ℕ → Prop
| zero [CharZero R] : ExpChar R 1
| prime {q : ℕ} (hprime : q.Prime) [hchar : CharP R q] : ExpChar R q
#align exp_char ExpChar
#align exp_char.prime ExpChar.prime
instance expChar_prime (p) [CharP R p] [Fact p.Prime] : ExpChar R p := ExpChar.prime Fact.out
instance expChar_zero [CharZero R] : ExpChar R 1 := ExpChar.zero
instance (S : Type*) [Semiring S] (p) [ExpChar R p] [ExpChar S p] : ExpChar (R × S) p := by
obtain hp | ⟨hp⟩ := ‹ExpChar R p›
· have := Prod.charZero_of_left R S; exact .zero
obtain _ | _ := ‹ExpChar S p›
· exact (Nat.not_prime_one hp).elim
· have := Prod.charP R S p; exact .prime hp
variable {R} in
theorem ExpChar.eq {p q : ℕ} (hp : ExpChar R p) (hq : ExpChar R q) : p = q := by
cases' hp with hp _ hp' hp
· cases' hq with hq _ hq' hq
exacts [rfl, False.elim (Nat.not_prime_zero (CharP.eq R hq (CharP.ofCharZero R) ▸ hq'))]
· cases' hq with hq _ hq' hq
exacts [False.elim (Nat.not_prime_zero (CharP.eq R hp (CharP.ofCharZero R) ▸ hp')),
CharP.eq R hp hq]
theorem ExpChar.congr {p : ℕ} (q : ℕ) [hq : ExpChar R q] (h : q = p) : ExpChar R p := h ▸ hq
noncomputable def ringExpChar (R : Type*) [NonAssocSemiring R] : ℕ := max (ringChar R) 1
theorem ringExpChar.eq (q : ℕ) [h : ExpChar R q] : ringExpChar R = q := by
cases' h with _ _ h _
· haveI := CharP.ofCharZero R
rw [ringExpChar, ringChar.eq R 0]; rfl
rw [ringExpChar, ringChar.eq R q]
exact Nat.max_eq_left h.one_lt.le
@[simp]
| Mathlib/Algebra/CharP/ExpChar.lean | 82 | 83 | theorem ringExpChar.eq_one (R : Type*) [NonAssocSemiring R] [CharZero R] : ringExpChar R = 1 := by |
rw [ringExpChar, ringChar.eq_zero, max_eq_right zero_le_one]
| 0.0625 |
import Mathlib.Tactic.CategoryTheory.Elementwise
import Mathlib.CategoryTheory.Limits.Shapes.Multiequalizer
import Mathlib.CategoryTheory.Limits.Constructions.EpiMono
import Mathlib.CategoryTheory.Limits.Preserves.Limits
import Mathlib.CategoryTheory.Limits.Shapes.Types
#align_import category_theory.glue_data from "leanprover-community/mathlib"@"14b69e9f3c16630440a2cbd46f1ddad0d561dee7"
noncomputable section
open CategoryTheory.Limits
namespace CategoryTheory
universe v u₁ u₂
variable (C : Type u₁) [Category.{v} C] {C' : Type u₂} [Category.{v} C']
-- Porting note(#5171): linter not ported yet
-- @[nolint has_nonempty_instance]
structure GlueData where
J : Type v
U : J → C
V : J × J → C
f : ∀ i j, V (i, j) ⟶ U i
f_mono : ∀ i j, Mono (f i j) := by infer_instance
f_hasPullback : ∀ i j k, HasPullback (f i j) (f i k) := by infer_instance
f_id : ∀ i, IsIso (f i i) := by infer_instance
t : ∀ i j, V (i, j) ⟶ V (j, i)
t_id : ∀ i, t i i = 𝟙 _
t' : ∀ i j k, pullback (f i j) (f i k) ⟶ pullback (f j k) (f j i)
t_fac : ∀ i j k, t' i j k ≫ pullback.snd = pullback.fst ≫ t i j
cocycle : ∀ i j k, t' i j k ≫ t' j k i ≫ t' k i j = 𝟙 _
#align category_theory.glue_data CategoryTheory.GlueData
attribute [simp] GlueData.t_id
attribute [instance] GlueData.f_id GlueData.f_mono GlueData.f_hasPullback
attribute [reassoc] GlueData.t_fac GlueData.cocycle
namespace GlueData
variable {C}
variable (D : GlueData C)
@[simp]
theorem t'_iij (i j : D.J) : D.t' i i j = (pullbackSymmetry _ _).hom := by
have eq₁ := D.t_fac i i j
have eq₂ := (IsIso.eq_comp_inv (D.f i i)).mpr (@pullback.condition _ _ _ _ _ _ (D.f i j) _)
rw [D.t_id, Category.comp_id, eq₂] at eq₁
have eq₃ := (IsIso.eq_comp_inv (D.f i i)).mp eq₁
rw [Category.assoc, ← pullback.condition, ← Category.assoc] at eq₃
exact
Mono.right_cancellation _ _
((Mono.right_cancellation _ _ eq₃).trans (pullbackSymmetry_hom_comp_fst _ _).symm)
#align category_theory.glue_data.t'_iij CategoryTheory.GlueData.t'_iij
| Mathlib/CategoryTheory/GlueData.lean | 88 | 90 | theorem t'_jii (i j : D.J) : D.t' j i i = pullback.fst ≫ D.t j i ≫ inv pullback.snd := by |
rw [← Category.assoc, ← D.t_fac]
simp
| 0.0625 |
import Mathlib.Probability.Kernel.MeasurableIntegral
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import probability.kernel.with_density from "leanprover-community/mathlib"@"c0d694db494dd4f9aa57f2714b6e4c82b4ebc113"
open MeasureTheory ProbabilityTheory
open scoped MeasureTheory ENNReal NNReal
namespace ProbabilityTheory.kernel
variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
variable {κ : kernel α β} {f : α → β → ℝ≥0∞}
noncomputable def withDensity (κ : kernel α β) [IsSFiniteKernel κ] (f : α → β → ℝ≥0∞) :
kernel α β :=
@dite _ (Measurable (Function.uncurry f)) (Classical.dec _) (fun hf =>
(⟨fun a => (κ a).withDensity (f a),
by
refine Measure.measurable_of_measurable_coe _ fun s hs => ?_
simp_rw [withDensity_apply _ hs]
exact hf.set_lintegral_kernel_prod_right hs⟩ : kernel α β)) fun _ => 0
#align probability_theory.kernel.with_density ProbabilityTheory.kernel.withDensity
theorem withDensity_of_not_measurable (κ : kernel α β) [IsSFiniteKernel κ]
(hf : ¬Measurable (Function.uncurry f)) : withDensity κ f = 0 := by classical exact dif_neg hf
#align probability_theory.kernel.with_density_of_not_measurable ProbabilityTheory.kernel.withDensity_of_not_measurable
protected theorem withDensity_apply (κ : kernel α β) [IsSFiniteKernel κ]
(hf : Measurable (Function.uncurry f)) (a : α) :
withDensity κ f a = (κ a).withDensity (f a) := by
classical
rw [withDensity, dif_pos hf]
rfl
#align probability_theory.kernel.with_density_apply ProbabilityTheory.kernel.withDensity_apply
protected theorem withDensity_apply' (κ : kernel α β) [IsSFiniteKernel κ]
(hf : Measurable (Function.uncurry f)) (a : α) (s : Set β) :
withDensity κ f a s = ∫⁻ b in s, f a b ∂κ a := by
rw [kernel.withDensity_apply κ hf, withDensity_apply' _ s]
#align probability_theory.kernel.with_density_apply' ProbabilityTheory.kernel.withDensity_apply'
nonrec lemma withDensity_congr_ae (κ : kernel α β) [IsSFiniteKernel κ] {f g : α → β → ℝ≥0∞}
(hf : Measurable (Function.uncurry f)) (hg : Measurable (Function.uncurry g))
(hfg : ∀ a, f a =ᵐ[κ a] g a) :
withDensity κ f = withDensity κ g := by
ext a
rw [kernel.withDensity_apply _ hf,kernel.withDensity_apply _ hg, withDensity_congr_ae (hfg a)]
nonrec lemma withDensity_absolutelyContinuous [IsSFiniteKernel κ]
(f : α → β → ℝ≥0∞) (a : α) :
kernel.withDensity κ f a ≪ κ a := by
by_cases hf : Measurable (Function.uncurry f)
· rw [kernel.withDensity_apply _ hf]
exact withDensity_absolutelyContinuous _ _
· rw [withDensity_of_not_measurable _ hf]
simp [Measure.AbsolutelyContinuous.zero]
@[simp]
lemma withDensity_one (κ : kernel α β) [IsSFiniteKernel κ] :
kernel.withDensity κ 1 = κ := by
ext; rw [kernel.withDensity_apply _ measurable_const]; simp
@[simp]
lemma withDensity_one' (κ : kernel α β) [IsSFiniteKernel κ] :
kernel.withDensity κ (fun _ _ ↦ 1) = κ := kernel.withDensity_one _
@[simp]
lemma withDensity_zero (κ : kernel α β) [IsSFiniteKernel κ] :
kernel.withDensity κ 0 = 0 := by
ext; rw [kernel.withDensity_apply _ measurable_const]; simp
@[simp]
lemma withDensity_zero' (κ : kernel α β) [IsSFiniteKernel κ] :
kernel.withDensity κ (fun _ _ ↦ 0) = 0 := kernel.withDensity_zero _
theorem lintegral_withDensity (κ : kernel α β) [IsSFiniteKernel κ]
(hf : Measurable (Function.uncurry f)) (a : α) {g : β → ℝ≥0∞} (hg : Measurable g) :
∫⁻ b, g b ∂withDensity κ f a = ∫⁻ b, f a b * g b ∂κ a := by
rw [kernel.withDensity_apply _ hf,
lintegral_withDensity_eq_lintegral_mul _ (Measurable.of_uncurry_left hf) hg]
simp_rw [Pi.mul_apply]
#align probability_theory.kernel.lintegral_with_density ProbabilityTheory.kernel.lintegral_withDensity
theorem integral_withDensity {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
{f : β → E} [IsSFiniteKernel κ] {a : α} {g : α → β → ℝ≥0}
(hg : Measurable (Function.uncurry g)) :
∫ b, f b ∂withDensity κ (fun a b => g a b) a = ∫ b, g a b • f b ∂κ a := by
rw [kernel.withDensity_apply, integral_withDensity_eq_integral_smul]
· exact Measurable.of_uncurry_left hg
· exact measurable_coe_nnreal_ennreal.comp hg
#align probability_theory.kernel.integral_with_density ProbabilityTheory.kernel.integral_withDensity
| Mathlib/Probability/Kernel/WithDensity.lean | 125 | 132 | theorem withDensity_add_left (κ η : kernel α β) [IsSFiniteKernel κ] [IsSFiniteKernel η]
(f : α → β → ℝ≥0∞) : withDensity (κ + η) f = withDensity κ f + withDensity η f := by |
by_cases hf : Measurable (Function.uncurry f)
· ext a s
simp only [kernel.withDensity_apply _ hf, coeFn_add, Pi.add_apply, withDensity_add_measure,
Measure.add_apply]
· simp_rw [withDensity_of_not_measurable _ hf]
rw [zero_add]
| 0.0625 |
import Mathlib.MeasureTheory.Measure.MeasureSpace
#align_import measure_theory.covering.vitali_family from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open MeasureTheory Metric Set Filter TopologicalSpace MeasureTheory.Measure
open Filter MeasureTheory Topology
variable {α : Type*} [MetricSpace α]
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure VitaliFamily {m : MeasurableSpace α} (μ : Measure α) where
setsAt : α → Set (Set α)
measurableSet : ∀ x : α, ∀ s ∈ setsAt x, MeasurableSet s
nonempty_interior : ∀ x : α, ∀ s ∈ setsAt x, (interior s).Nonempty
nontrivial : ∀ (x : α), ∀ ε > (0 : ℝ), ∃ s ∈ setsAt x, s ⊆ closedBall x ε
covering : ∀ (s : Set α) (f : α → Set (Set α)),
(∀ x ∈ s, f x ⊆ setsAt x) → (∀ x ∈ s, ∀ ε > (0 : ℝ), ∃ a ∈ f x, a ⊆ closedBall x ε) →
∃ t : Set (α × Set α), (∀ p ∈ t, p.1 ∈ s) ∧ (t.PairwiseDisjoint fun p ↦ p.2) ∧
(∀ p ∈ t, p.2 ∈ f p.1) ∧ μ (s \ ⋃ p ∈ t, p.2) = 0
#align vitali_family VitaliFamily
namespace VitaliFamily
variable {m0 : MeasurableSpace α} {μ : Measure α}
def mono (v : VitaliFamily μ) (ν : Measure α) (hν : ν ≪ μ) : VitaliFamily ν where
__ := v
covering s f h h' :=
let ⟨t, ts, disj, mem_f, hμ⟩ := v.covering s f h h'
⟨t, ts, disj, mem_f, hν hμ⟩
#align vitali_family.mono VitaliFamily.mono
def FineSubfamilyOn (v : VitaliFamily μ) (f : α → Set (Set α)) (s : Set α) : Prop :=
∀ x ∈ s, ∀ ε > 0, ∃ a ∈ v.setsAt x ∩ f x, a ⊆ closedBall x ε
#align vitali_family.fine_subfamily_on VitaliFamily.FineSubfamilyOn
def enlarge (v : VitaliFamily μ) (δ : ℝ) (δpos : 0 < δ) : VitaliFamily μ where
setsAt x := v.setsAt x ∪ { a | MeasurableSet a ∧ (interior a).Nonempty ∧ ¬a ⊆ closedBall x δ }
measurableSet x a ha := by
cases' ha with ha ha
exacts [v.measurableSet _ _ ha, ha.1]
nonempty_interior x a ha := by
cases' ha with ha ha
exacts [v.nonempty_interior _ _ ha, ha.2.1]
nontrivial := by
intro x ε εpos
rcases v.nontrivial x ε εpos with ⟨a, ha, h'a⟩
exact ⟨a, mem_union_left _ ha, h'a⟩
covering := by
intro s f fset ffine
let g : α → Set (Set α) := fun x => f x ∩ v.setsAt x
have : ∀ x ∈ s, ∀ ε : ℝ, ε > 0 → ∃ (a : Set α), a ∈ g x ∧ a ⊆ closedBall x ε := by
intro x hx ε εpos
obtain ⟨a, af, ha⟩ : ∃ a ∈ f x, a ⊆ closedBall x (min ε δ) :=
ffine x hx (min ε δ) (lt_min εpos δpos)
rcases fset x hx af with (h'a | h'a)
· exact ⟨a, ⟨af, h'a⟩, ha.trans (closedBall_subset_closedBall (min_le_left _ _))⟩
· refine False.elim (h'a.2.2 ?_)
exact ha.trans (closedBall_subset_closedBall (min_le_right _ _))
rcases v.covering s g (fun x _ => inter_subset_right) this with ⟨t, ts, tdisj, tg, μt⟩
exact ⟨t, ts, tdisj, fun p hp => (tg p hp).1, μt⟩
#align vitali_family.enlarge VitaliFamily.enlarge
variable (v : VitaliFamily μ)
def filterAt (x : α) : Filter (Set α) := (𝓝 x).smallSets ⊓ 𝓟 (v.setsAt x)
#align vitali_family.filter_at VitaliFamily.filterAt
| Mathlib/MeasureTheory/Covering/VitaliFamily.lean | 226 | 228 | theorem _root_.Filter.HasBasis.vitaliFamily {ι : Sort*} {p : ι → Prop} {s : ι → Set α} {x : α}
(h : (𝓝 x).HasBasis p s) : (v.filterAt x).HasBasis p (fun i ↦ {t ∈ v.setsAt x | t ⊆ s i}) := by |
simpa only [← Set.setOf_inter_eq_sep] using h.smallSets.inf_principal _
| 0.0625 |
import Mathlib.Topology.Category.TopCat.EpiMono
import Mathlib.Topology.Category.TopCat.Limits.Basic
import Mathlib.CategoryTheory.Limits.Shapes.Products
import Mathlib.CategoryTheory.Limits.ConcreteCategory
import Mathlib.Data.Set.Subsingleton
import Mathlib.Tactic.CategoryTheory.Elementwise
#align_import topology.category.Top.limits.products from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1"
-- Porting note: every ML3 decl has an uppercase letter
set_option linter.uppercaseLean3 false
open TopologicalSpace
open CategoryTheory
open CategoryTheory.Limits
universe v u w
noncomputable section
namespace TopCat
variable {J : Type v} [SmallCategory J]
abbrev piπ {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) : TopCat.of (∀ i, α i) ⟶ α i :=
⟨fun f => f i, continuous_apply i⟩
#align Top.pi_π TopCat.piπ
@[simps! pt π_app]
def piFan {ι : Type v} (α : ι → TopCat.{max v u}) : Fan α :=
Fan.mk (TopCat.of (∀ i, α i)) (piπ.{v,u} α)
#align Top.pi_fan TopCat.piFan
def piFanIsLimit {ι : Type v} (α : ι → TopCat.{max v u}) : IsLimit (piFan α) where
lift S :=
{ toFun := fun s i => S.π.app ⟨i⟩ s
continuous_toFun := continuous_pi (fun i => (S.π.app ⟨i⟩).2) }
uniq := by
intro S m h
apply ContinuousMap.ext; intro x
funext i
set_option tactic.skipAssignedInstances false in
dsimp
rw [ContinuousMap.coe_mk, ← h ⟨i⟩]
rfl
fac s j := rfl
#align Top.pi_fan_is_limit TopCat.piFanIsLimit
def piIsoPi {ι : Type v} (α : ι → TopCat.{max v u}) : ∏ᶜ α ≅ TopCat.of (∀ i, α i) :=
(limit.isLimit _).conePointUniqueUpToIso (piFanIsLimit.{v, u} α)
-- Specifying the universes in `piFanIsLimit` wasn't necessary when we had `TopCatMax`
#align Top.pi_iso_pi TopCat.piIsoPi
@[reassoc (attr := simp)]
theorem piIsoPi_inv_π {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) :
(piIsoPi α).inv ≫ Pi.π α i = piπ α i := by simp [piIsoPi]
#align Top.pi_iso_pi_inv_π TopCat.piIsoPi_inv_π
theorem piIsoPi_inv_π_apply {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) (x : ∀ i, α i) :
(Pi.π α i : _) ((piIsoPi α).inv x) = x i :=
ConcreteCategory.congr_hom (piIsoPi_inv_π α i) x
#align Top.pi_iso_pi_inv_π_apply TopCat.piIsoPi_inv_π_apply
-- Porting note: needing the type ascription on `∏ᶜ α : TopCat.{max v u}` is unfortunate.
theorem piIsoPi_hom_apply {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι)
(x : (∏ᶜ α : TopCat.{max v u})) : (piIsoPi α).hom x i = (Pi.π α i : _) x := by
have := piIsoPi_inv_π α i
rw [Iso.inv_comp_eq] at this
exact ConcreteCategory.congr_hom this x
#align Top.pi_iso_pi_hom_apply TopCat.piIsoPi_hom_apply
-- Porting note: Lean doesn't automatically reduce TopCat.of X|>.α to X now
abbrev sigmaι {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) : α i ⟶ TopCat.of (Σi, α i) := by
refine ContinuousMap.mk ?_ ?_
· dsimp
apply Sigma.mk i
· dsimp; continuity
#align Top.sigma_ι TopCat.sigmaι
@[simps! pt ι_app]
def sigmaCofan {ι : Type v} (α : ι → TopCat.{max v u}) : Cofan α :=
Cofan.mk (TopCat.of (Σi, α i)) (sigmaι α)
#align Top.sigma_cofan TopCat.sigmaCofan
def sigmaCofanIsColimit {ι : Type v} (β : ι → TopCat.{max v u}) : IsColimit (sigmaCofan β) where
desc S :=
{ toFun := fun (s : of (Σ i, β i)) => S.ι.app ⟨s.1⟩ s.2
continuous_toFun := continuous_sigma fun i => (S.ι.app ⟨i⟩).continuous_toFun }
uniq := by
intro S m h
ext ⟨i, x⟩
simp only [hom_apply, ← h]
congr
fac s j := by
cases j
aesop_cat
#align Top.sigma_cofan_is_colimit TopCat.sigmaCofanIsColimit
def sigmaIsoSigma {ι : Type v} (α : ι → TopCat.{max v u}) : ∐ α ≅ TopCat.of (Σi, α i) :=
(colimit.isColimit _).coconePointUniqueUpToIso (sigmaCofanIsColimit.{v, u} α)
-- Specifying the universes in `sigmaCofanIsColimit` wasn't necessary when we had `TopCatMax`
#align Top.sigma_iso_sigma TopCat.sigmaIsoSigma
@[reassoc (attr := simp)]
| Mathlib/Topology/Category/TopCat/Limits/Products.lean | 127 | 128 | theorem sigmaIsoSigma_hom_ι {ι : Type v} (α : ι → TopCat.{max v u}) (i : ι) :
Sigma.ι α i ≫ (sigmaIsoSigma α).hom = sigmaι α i := by | simp [sigmaIsoSigma]
| 0.0625 |
import Mathlib.Data.Matrix.Basic
import Mathlib.LinearAlgebra.Matrix.Trace
#align_import data.matrix.basis from "leanprover-community/mathlib"@"320df450e9abeb5fc6417971e75acb6ae8bc3794"
variable {l m n : Type*}
variable {R α : Type*}
namespace Matrix
open Matrix
variable [DecidableEq l] [DecidableEq m] [DecidableEq n]
variable [Semiring α]
def stdBasisMatrix (i : m) (j : n) (a : α) : Matrix m n α := fun i' j' =>
if i = i' ∧ j = j' then a else 0
#align matrix.std_basis_matrix Matrix.stdBasisMatrix
@[simp]
theorem smul_stdBasisMatrix [SMulZeroClass R α] (r : R) (i : m) (j : n) (a : α) :
r • stdBasisMatrix i j a = stdBasisMatrix i j (r • a) := by
unfold stdBasisMatrix
ext
simp [smul_ite]
#align matrix.smul_std_basis_matrix Matrix.smul_stdBasisMatrix
@[simp]
theorem stdBasisMatrix_zero (i : m) (j : n) : stdBasisMatrix i j (0 : α) = 0 := by
unfold stdBasisMatrix
ext
simp
#align matrix.std_basis_matrix_zero Matrix.stdBasisMatrix_zero
theorem stdBasisMatrix_add (i : m) (j : n) (a b : α) :
stdBasisMatrix i j (a + b) = stdBasisMatrix i j a + stdBasisMatrix i j b := by
unfold stdBasisMatrix; ext
split_ifs with h <;> simp [h]
#align matrix.std_basis_matrix_add Matrix.stdBasisMatrix_add
theorem mulVec_stdBasisMatrix [Fintype m] (i : n) (j : m) (c : α) (x : m → α) :
mulVec (stdBasisMatrix i j c) x = Function.update (0 : n → α) i (c * x j) := by
ext i'
simp [stdBasisMatrix, mulVec, dotProduct]
rcases eq_or_ne i i' with rfl|h
· simp
simp [h, h.symm]
theorem matrix_eq_sum_std_basis [Fintype m] [Fintype n] (x : Matrix m n α) :
x = ∑ i : m, ∑ j : n, stdBasisMatrix i j (x i j) := by
ext i j; symm
iterate 2 rw [Finset.sum_apply]
-- Porting note: was `convert`
refine (Fintype.sum_eq_single i ?_).trans ?_; swap
· -- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply`
simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix]
rw [Fintype.sum_apply, Fintype.sum_apply]
simp
· intro j' hj'
-- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply`
simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix]
rw [Fintype.sum_apply, Fintype.sum_apply]
simp [hj']
#align matrix.matrix_eq_sum_std_basis Matrix.matrix_eq_sum_std_basis
-- TODO: tie this up with the `Basis` machinery of linear algebra
-- this is not completely trivial because we are indexing by two types, instead of one
-- TODO: add `std_basis_vec`
theorem std_basis_eq_basis_mul_basis (i : m) (j : n) :
stdBasisMatrix i j (1 : α) =
vecMulVec (fun i' => ite (i = i') 1 0) fun j' => ite (j = j') 1 0 := by
ext i' j'
-- Porting note: was `norm_num [std_basis_matrix, vec_mul_vec]` though there are no numerals
-- involved.
simp only [stdBasisMatrix, vecMulVec, mul_ite, mul_one, mul_zero, of_apply]
-- Porting note: added next line
simp_rw [@and_comm (i = i')]
exact ite_and _ _ _ _
#align matrix.std_basis_eq_basis_mul_basis Matrix.std_basis_eq_basis_mul_basis
-- todo: the old proof used fintypes, I don't know `Finsupp` but this feels generalizable
@[elab_as_elim]
protected theorem induction_on' [Finite m] [Finite n] {P : Matrix m n α → Prop} (M : Matrix m n α)
(h_zero : P 0) (h_add : ∀ p q, P p → P q → P (p + q))
(h_std_basis : ∀ (i : m) (j : n) (x : α), P (stdBasisMatrix i j x)) : P M := by
cases nonempty_fintype m; cases nonempty_fintype n
rw [matrix_eq_sum_std_basis M, ← Finset.sum_product']
apply Finset.sum_induction _ _ h_add h_zero
· intros
apply h_std_basis
#align matrix.induction_on' Matrix.induction_on'
@[elab_as_elim]
protected theorem induction_on [Finite m] [Finite n] [Nonempty m] [Nonempty n]
{P : Matrix m n α → Prop} (M : Matrix m n α) (h_add : ∀ p q, P p → P q → P (p + q))
(h_std_basis : ∀ i j x, P (stdBasisMatrix i j x)) : P M :=
Matrix.induction_on' M
(by
inhabit m
inhabit n
simpa using h_std_basis default default 0)
h_add h_std_basis
#align matrix.induction_on Matrix.induction_on
namespace StdBasisMatrix
section
variable (i : m) (j : n) (c : α) (i' : m) (j' : n)
@[simp]
theorem apply_same : stdBasisMatrix i j c i j = c :=
if_pos (And.intro rfl rfl)
#align matrix.std_basis_matrix.apply_same Matrix.StdBasisMatrix.apply_same
@[simp]
| Mathlib/Data/Matrix/Basis.lean | 133 | 135 | theorem apply_of_ne (h : ¬(i = i' ∧ j = j')) : stdBasisMatrix i j c i' j' = 0 := by |
simp only [stdBasisMatrix, and_imp, ite_eq_right_iff]
tauto
| 0.0625 |
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Data.Finset.NatAntidiagonal
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Init.Data.Nat.Lemmas
import Mathlib.Logic.Function.Iterate
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Zify
#align_import data.nat.fib from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
namespace Nat
-- Porting note: Lean cannot find pp_nodot at the time of this port.
-- @[pp_nodot]
def fib (n : ℕ) : ℕ :=
((fun p : ℕ × ℕ => (p.snd, p.fst + p.snd))^[n] (0, 1)).fst
#align nat.fib Nat.fib
@[simp]
theorem fib_zero : fib 0 = 0 :=
rfl
#align nat.fib_zero Nat.fib_zero
@[simp]
theorem fib_one : fib 1 = 1 :=
rfl
#align nat.fib_one Nat.fib_one
@[simp]
theorem fib_two : fib 2 = 1 :=
rfl
#align nat.fib_two Nat.fib_two
theorem fib_add_two {n : ℕ} : fib (n + 2) = fib n + fib (n + 1) := by
simp [fib, Function.iterate_succ_apply']
#align nat.fib_add_two Nat.fib_add_two
lemma fib_add_one : ∀ {n}, n ≠ 0 → fib (n + 1) = fib (n - 1) + fib n
| _n + 1, _ => fib_add_two
theorem fib_le_fib_succ {n : ℕ} : fib n ≤ fib (n + 1) := by cases n <;> simp [fib_add_two]
#align nat.fib_le_fib_succ Nat.fib_le_fib_succ
@[mono]
theorem fib_mono : Monotone fib :=
monotone_nat_of_le_succ fun _ => fib_le_fib_succ
#align nat.fib_mono Nat.fib_mono
@[simp] lemma fib_eq_zero : ∀ {n}, fib n = 0 ↔ n = 0
| 0 => Iff.rfl
| 1 => Iff.rfl
| n + 2 => by simp [fib_add_two, fib_eq_zero]
@[simp] lemma fib_pos {n : ℕ} : 0 < fib n ↔ 0 < n := by simp [pos_iff_ne_zero]
#align nat.fib_pos Nat.fib_pos
theorem fib_add_two_sub_fib_add_one {n : ℕ} : fib (n + 2) - fib (n + 1) = fib n := by
rw [fib_add_two, add_tsub_cancel_right]
#align nat.fib_add_two_sub_fib_add_one Nat.fib_add_two_sub_fib_add_one
theorem fib_lt_fib_succ {n : ℕ} (hn : 2 ≤ n) : fib n < fib (n + 1) := by
rcases exists_add_of_le hn with ⟨n, rfl⟩
rw [← tsub_pos_iff_lt, add_comm 2, add_right_comm, fib_add_two, add_tsub_cancel_right, fib_pos]
exact succ_pos n
#align nat.fib_lt_fib_succ Nat.fib_lt_fib_succ
theorem fib_add_two_strictMono : StrictMono fun n => fib (n + 2) := by
refine strictMono_nat_of_lt_succ fun n => ?_
rw [add_right_comm]
exact fib_lt_fib_succ (self_le_add_left _ _)
#align nat.fib_add_two_strict_mono Nat.fib_add_two_strictMono
lemma fib_strictMonoOn : StrictMonoOn fib (Set.Ici 2)
| _m + 2, _, _n + 2, _, hmn => fib_add_two_strictMono <| lt_of_add_lt_add_right hmn
lemma fib_lt_fib {m : ℕ} (hm : 2 ≤ m) : ∀ {n}, fib m < fib n ↔ m < n
| 0 => by simp [hm]
| 1 => by simp [hm]
| n + 2 => fib_strictMonoOn.lt_iff_lt hm <| by simp
| Mathlib/Data/Nat/Fib/Basic.lean | 135 | 143 | theorem le_fib_self {n : ℕ} (five_le_n : 5 ≤ n) : n ≤ fib n := by |
induction' five_le_n with n five_le_n IH
·-- 5 ≤ fib 5
rfl
· -- n + 1 ≤ fib (n + 1) for 5 ≤ n
rw [succ_le_iff]
calc
n ≤ fib n := IH
_ < fib (n + 1) := fib_lt_fib_succ (le_trans (by decide) five_le_n)
| 0.0625 |
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Basic
import Mathlib.Algebra.Category.Ring.Colimits
import Mathlib.Algebra.Category.Ring.Limits
import Mathlib.Topology.Sheaves.LocalPredicate
import Mathlib.RingTheory.Localization.AtPrime
import Mathlib.Algebra.Ring.Subring.Basic
#align_import algebraic_geometry.structure_sheaf from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8"
universe u
noncomputable section
variable (R : Type u) [CommRing R]
open TopCat
open TopologicalSpace
open CategoryTheory
open Opposite
namespace AlgebraicGeometry
def PrimeSpectrum.Top : TopCat :=
TopCat.of (PrimeSpectrum R)
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.prime_spectrum.Top AlgebraicGeometry.PrimeSpectrum.Top
namespace StructureSheaf
def Localizations (P : PrimeSpectrum.Top R) : Type u :=
Localization.AtPrime P.asIdeal
#align algebraic_geometry.structure_sheaf.localizations AlgebraicGeometry.StructureSheaf.Localizations
-- Porting note: can't derive `CommRingCat`
instance commRingLocalizations (P : PrimeSpectrum.Top R) : CommRing <| Localizations R P :=
inferInstanceAs <| CommRing <| Localization.AtPrime P.asIdeal
-- Porting note: can't derive `LocalRing`
instance localRingLocalizations (P : PrimeSpectrum.Top R) : LocalRing <| Localizations R P :=
inferInstanceAs <| LocalRing <| Localization.AtPrime P.asIdeal
instance (P : PrimeSpectrum.Top R) : Inhabited (Localizations R P) :=
⟨1⟩
instance (U : Opens (PrimeSpectrum.Top R)) (x : U) : Algebra R (Localizations R x) :=
inferInstanceAs <| Algebra R (Localization.AtPrime x.1.asIdeal)
instance (U : Opens (PrimeSpectrum.Top R)) (x : U) :
IsLocalization.AtPrime (Localizations R x) (x : PrimeSpectrum.Top R).asIdeal :=
Localization.isLocalization
variable {R}
def IsFraction {U : Opens (PrimeSpectrum.Top R)} (f : ∀ x : U, Localizations R x) : Prop :=
∃ r s : R, ∀ x : U, ¬s ∈ x.1.asIdeal ∧ f x * algebraMap _ _ s = algebraMap _ _ r
#align algebraic_geometry.structure_sheaf.is_fraction AlgebraicGeometry.StructureSheaf.IsFraction
| Mathlib/AlgebraicGeometry/StructureSheaf.lean | 108 | 118 | theorem IsFraction.eq_mk' {U : Opens (PrimeSpectrum.Top R)} {f : ∀ x : U, Localizations R x}
(hf : IsFraction f) :
∃ r s : R,
∀ x : U,
∃ hs : s ∉ x.1.asIdeal,
f x =
IsLocalization.mk' (Localization.AtPrime _) r
(⟨s, hs⟩ : (x : PrimeSpectrum.Top R).asIdeal.primeCompl) := by |
rcases hf with ⟨r, s, h⟩
refine ⟨r, s, fun x => ⟨(h x).1, (IsLocalization.mk'_eq_iff_eq_mul.mpr ?_).symm⟩⟩
exact (h x).2.symm
| 0.0625 |
import Mathlib.Data.PFunctor.Multivariate.W
import Mathlib.Data.QPF.Multivariate.Basic
#align_import data.qpf.multivariate.constructions.fix from "leanprover-community/mathlib"@"28aa996fc6fb4317f0083c4e6daf79878d81be33"
universe u v
namespace MvQPF
open TypeVec
open MvFunctor (LiftP LiftR)
open MvFunctor
variable {n : ℕ} {F : TypeVec.{u} (n + 1) → Type u} [MvFunctor F] [q : MvQPF F]
def recF {α : TypeVec n} {β : Type u} (g : F (α.append1 β) → β) : q.P.W α → β :=
q.P.wRec fun a f' _f rec => g (abs ⟨a, splitFun f' rec⟩)
set_option linter.uppercaseLean3 false in
#align mvqpf.recF MvQPF.recF
theorem recF_eq {α : TypeVec n} {β : Type u} (g : F (α.append1 β) → β) (a : q.P.A)
(f' : q.P.drop.B a ⟹ α) (f : q.P.last.B a → q.P.W α) :
recF g (q.P.wMk a f' f) = g (abs ⟨a, splitFun f' (recF g ∘ f)⟩) := by
rw [recF, MvPFunctor.wRec_eq]; rfl
set_option linter.uppercaseLean3 false in
#align mvqpf.recF_eq MvQPF.recF_eq
theorem recF_eq' {α : TypeVec n} {β : Type u} (g : F (α.append1 β) → β) (x : q.P.W α) :
recF g x = g (abs (appendFun id (recF g) <$$> q.P.wDest' x)) := by
apply q.P.w_cases _ x
intro a f' f
rw [recF_eq, q.P.wDest'_wMk, MvPFunctor.map_eq, appendFun_comp_splitFun, TypeVec.id_comp]
set_option linter.uppercaseLean3 false in
#align mvqpf.recF_eq' MvQPF.recF_eq'
inductive WEquiv {α : TypeVec n} : q.P.W α → q.P.W α → Prop
| ind (a : q.P.A) (f' : q.P.drop.B a ⟹ α) (f₀ f₁ : q.P.last.B a → q.P.W α) :
(∀ x, WEquiv (f₀ x) (f₁ x)) → WEquiv (q.P.wMk a f' f₀) (q.P.wMk a f' f₁)
| abs (a₀ : q.P.A) (f'₀ : q.P.drop.B a₀ ⟹ α) (f₀ : q.P.last.B a₀ → q.P.W α) (a₁ : q.P.A)
(f'₁ : q.P.drop.B a₁ ⟹ α) (f₁ : q.P.last.B a₁ → q.P.W α) :
abs ⟨a₀, q.P.appendContents f'₀ f₀⟩ = abs ⟨a₁, q.P.appendContents f'₁ f₁⟩ →
WEquiv (q.P.wMk a₀ f'₀ f₀) (q.P.wMk a₁ f'₁ f₁)
| trans (u v w : q.P.W α) : WEquiv u v → WEquiv v w → WEquiv u w
set_option linter.uppercaseLean3 false in
#align mvqpf.Wequiv MvQPF.WEquiv
theorem recF_eq_of_wEquiv (α : TypeVec n) {β : Type u} (u : F (α.append1 β) → β) (x y : q.P.W α) :
WEquiv x y → recF u x = recF u y := by
apply q.P.w_cases _ x
intro a₀ f'₀ f₀
apply q.P.w_cases _ y
intro a₁ f'₁ f₁
intro h
-- Porting note: induction on h doesn't work.
refine @WEquiv.recOn _ _ _ _ _ (fun a a' _ ↦ recF u a = recF u a') _ _ h ?_ ?_ ?_
· intros a f' f₀ f₁ _h ih; simp only [recF_eq, Function.comp]
congr; funext; congr; funext; apply ih
· intros a₀ f'₀ f₀ a₁ f'₁ f₁ h; simp only [recF_eq', abs_map, MvPFunctor.wDest'_wMk, h]
· intros x y z _e₁ _e₂ ih₁ ih₂; exact Eq.trans ih₁ ih₂
set_option linter.uppercaseLean3 false in
#align mvqpf.recF_eq_of_Wequiv MvQPF.recF_eq_of_wEquiv
| Mathlib/Data/QPF/Multivariate/Constructions/Fix.lean | 108 | 116 | theorem wEquiv.abs' {α : TypeVec n} (x y : q.P.W α)
(h : MvQPF.abs (q.P.wDest' x) = MvQPF.abs (q.P.wDest' y)) :
WEquiv x y := by |
revert h
apply q.P.w_cases _ x
intro a₀ f'₀ f₀
apply q.P.w_cases _ y
intro a₁ f'₁ f₁
apply WEquiv.abs
| 0.0625 |
import Mathlib.CategoryTheory.Category.Grpd
import Mathlib.CategoryTheory.Groupoid
import Mathlib.Topology.Category.TopCat.Basic
import Mathlib.Topology.Homotopy.Path
import Mathlib.Data.Set.Subsingleton
#align_import algebraic_topology.fundamental_groupoid.basic from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042"
open CategoryTheory
universe u v
variable {X : Type u} {Y : Type v} [TopologicalSpace X] [TopologicalSpace Y]
variable {x₀ x₁ : X}
noncomputable section
open unitInterval
namespace Path
namespace Homotopy
section
def reflTransSymmAux (x : I × I) : ℝ :=
if (x.2 : ℝ) ≤ 1 / 2 then x.1 * 2 * x.2 else x.1 * (2 - 2 * x.2)
#align path.homotopy.refl_trans_symm_aux Path.Homotopy.reflTransSymmAux
@[continuity]
| Mathlib/AlgebraicTopology/FundamentalGroupoid/Basic.lean | 46 | 53 | theorem continuous_reflTransSymmAux : Continuous reflTransSymmAux := by |
refine continuous_if_le ?_ ?_ (Continuous.continuousOn ?_) (Continuous.continuousOn ?_) ?_
· continuity
· continuity
· continuity
· continuity
intro x hx
norm_num [hx, mul_assoc]
| 0.0625 |
import Batteries.Data.Fin.Basic
namespace Fin
attribute [norm_cast] val_last
protected theorem le_antisymm_iff {x y : Fin n} : x = y ↔ x ≤ y ∧ y ≤ x :=
Fin.ext_iff.trans Nat.le_antisymm_iff
protected theorem le_antisymm {x y : Fin n} (h1 : x ≤ y) (h2 : y ≤ x) : x = y :=
Fin.le_antisymm_iff.2 ⟨h1, h2⟩
@[simp] theorem coe_clamp (n m : Nat) : (clamp n m : Nat) = min n m := rfl
@[simp] theorem size_enum (n) : (enum n).size = n := Array.size_ofFn ..
@[simp] theorem enum_zero : (enum 0) = #[] := by simp [enum, Array.ofFn, Array.ofFn.go]
@[simp] theorem getElem_enum (i) (h : i < (enum n).size) : (enum n)[i] = ⟨i, size_enum n ▸ h⟩ :=
Array.getElem_ofFn ..
@[simp] theorem length_list (n) : (list n).length = n := by simp [list]
@[simp] theorem get_list (i : Fin (list n).length) : (list n).get i = i.cast (length_list n) := by
cases i; simp only [list]; rw [← Array.getElem_eq_data_get, getElem_enum, cast_mk]
@[simp] theorem list_zero : list 0 = [] := by simp [list]
theorem list_succ (n) : list (n+1) = 0 :: (list n).map Fin.succ := by
apply List.ext_get; simp; intro i; cases i <;> simp
theorem list_succ_last (n) : list (n+1) = (list n).map castSucc ++ [last n] := by
rw [list_succ]
induction n with
| zero => rfl
| succ n ih =>
rw [list_succ, List.map_cons castSucc, ih]
simp [Function.comp_def, succ_castSucc]
theorem list_reverse (n) : (list n).reverse = (list n).map rev := by
induction n with
| zero => rfl
| succ n ih =>
conv => lhs; rw [list_succ_last]
conv => rhs; rw [list_succ]
simp [List.reverse_map, ih, Function.comp_def, rev_succ]
theorem foldl_loop_lt (f : α → Fin n → α) (x) (h : m < n) :
foldl.loop n f x m = foldl.loop n f (f x ⟨m, h⟩) (m+1) := by
rw [foldl.loop, dif_pos h]
| .lake/packages/batteries/Batteries/Data/Fin/Lemmas.lean | 63 | 64 | theorem foldl_loop_eq (f : α → Fin n → α) (x) : foldl.loop n f x n = x := by |
rw [foldl.loop, dif_neg (Nat.lt_irrefl _)]
| 0.0625 |
import Mathlib.Algebra.Lie.CartanSubalgebra
import Mathlib.Algebra.Lie.Weights.Basic
suppress_compilation
open Set
variable {R L : Type*} [CommRing R] [LieRing L] [LieAlgebra R L]
(H : LieSubalgebra R L) [LieAlgebra.IsNilpotent R H]
{M : Type*} [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
namespace LieAlgebra
open scoped TensorProduct
open TensorProduct.LieModule LieModule
abbrev rootSpace (χ : H → R) : LieSubmodule R H L :=
weightSpace L χ
#align lie_algebra.root_space LieAlgebra.rootSpace
theorem zero_rootSpace_eq_top_of_nilpotent [IsNilpotent R L] :
rootSpace (⊤ : LieSubalgebra R L) 0 = ⊤ :=
zero_weightSpace_eq_top_of_nilpotent L
#align lie_algebra.zero_root_space_eq_top_of_nilpotent LieAlgebra.zero_rootSpace_eq_top_of_nilpotent
@[simp]
theorem rootSpace_comap_eq_weightSpace (χ : H → R) :
(rootSpace H χ).comap H.incl' = weightSpace H χ :=
comap_weightSpace_eq_of_injective Subtype.coe_injective
#align lie_algebra.root_space_comap_eq_weight_space LieAlgebra.rootSpace_comap_eq_weightSpace
variable {H}
theorem lie_mem_weightSpace_of_mem_weightSpace {χ₁ χ₂ : H → R} {x : L} {m : M}
(hx : x ∈ rootSpace H χ₁) (hm : m ∈ weightSpace M χ₂) : ⁅x, m⁆ ∈ weightSpace M (χ₁ + χ₂) := by
rw [weightSpace, LieSubmodule.mem_iInf]
intro y
replace hx : x ∈ weightSpaceOf L (χ₁ y) y := by
rw [rootSpace, weightSpace, LieSubmodule.mem_iInf] at hx; exact hx y
replace hm : m ∈ weightSpaceOf M (χ₂ y) y := by
rw [weightSpace, LieSubmodule.mem_iInf] at hm; exact hm y
exact lie_mem_maxGenEigenspace_toEnd hx hm
#align lie_algebra.lie_mem_weight_space_of_mem_weight_space LieAlgebra.lie_mem_weightSpace_of_mem_weightSpace
lemma toEnd_pow_apply_mem {χ₁ χ₂ : H → R} {x : L} {m : M}
(hx : x ∈ rootSpace H χ₁) (hm : m ∈ weightSpace M χ₂) (n) :
(toEnd R L M x ^ n : Module.End R M) m ∈ weightSpace M (n • χ₁ + χ₂) := by
induction n
· simpa using hm
· next n IH =>
simp only [pow_succ', LinearMap.mul_apply, toEnd_apply_apply,
Nat.cast_add, Nat.cast_one, rootSpace]
convert lie_mem_weightSpace_of_mem_weightSpace hx IH using 2
rw [succ_nsmul, ← add_assoc, add_comm (n • _)]
variable (R L H M)
def rootSpaceWeightSpaceProductAux {χ₁ χ₂ χ₃ : H → R} (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ →ₗ[R] weightSpace M χ₂ →ₗ[R] weightSpace M χ₃ where
toFun x :=
{ toFun := fun m =>
⟨⁅(x : L), (m : M)⁆, hχ ▸ lie_mem_weightSpace_of_mem_weightSpace x.property m.property⟩
map_add' := fun m n => by simp only [LieSubmodule.coe_add, lie_add]; rfl
map_smul' := fun t m => by
dsimp only
conv_lhs =>
congr
rw [LieSubmodule.coe_smul, lie_smul]
rfl }
map_add' x y := by
ext m
simp only [AddSubmonoid.coe_add, Submodule.coe_toAddSubmonoid, add_lie, LinearMap.coe_mk,
AddHom.coe_mk, LinearMap.add_apply, AddSubmonoid.mk_add_mk]
map_smul' t x := by
simp only [RingHom.id_apply]
ext m
simp only [SetLike.val_smul, smul_lie, LinearMap.coe_mk, AddHom.coe_mk, LinearMap.smul_apply,
SetLike.mk_smul_mk]
#align lie_algebra.root_space_weight_space_product_aux LieAlgebra.rootSpaceWeightSpaceProductAux
-- Porting note (#11083): this def is _really_ slow
-- See https://github.com/leanprover-community/mathlib4/issues/5028
def rootSpaceWeightSpaceProduct (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃) :
rootSpace H χ₁ ⊗[R] weightSpace M χ₂ →ₗ⁅R,H⁆ weightSpace M χ₃ :=
liftLie R H (rootSpace H χ₁) (weightSpace M χ₂) (weightSpace M χ₃)
{ toLinearMap := rootSpaceWeightSpaceProductAux R L H M hχ
map_lie' := fun {x y} => by
ext m
simp only [rootSpaceWeightSpaceProductAux, LieSubmodule.coe_bracket,
LieSubalgebra.coe_bracket_of_module, lie_lie, LinearMap.coe_mk, AddHom.coe_mk,
Subtype.coe_mk, LieHom.lie_apply, LieSubmodule.coe_sub] }
#align lie_algebra.root_space_weight_space_product LieAlgebra.rootSpaceWeightSpaceProduct
@[simp]
| Mathlib/Algebra/Lie/Weights/Cartan.lean | 127 | 132 | theorem coe_rootSpaceWeightSpaceProduct_tmul (χ₁ χ₂ χ₃ : H → R) (hχ : χ₁ + χ₂ = χ₃)
(x : rootSpace H χ₁) (m : weightSpace M χ₂) :
(rootSpaceWeightSpaceProduct R L H M χ₁ χ₂ χ₃ hχ (x ⊗ₜ m) : M) = ⁅(x : L), (m : M)⁆ := by |
simp only [rootSpaceWeightSpaceProduct, rootSpaceWeightSpaceProductAux, coe_liftLie_eq_lift_coe,
AddHom.toFun_eq_coe, LinearMap.coe_toAddHom, lift_apply, LinearMap.coe_mk, AddHom.coe_mk,
Submodule.coe_mk]
| 0.0625 |
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.integral.average from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open ENNReal MeasureTheory MeasureTheory.Measure Metric Set Filter TopologicalSpace Function
open scoped Topology ENNReal Convex
variable {α E F : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E]
[CompleteSpace E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {μ ν : Measure α}
{s t : Set α}
namespace MeasureTheory
section NormedAddCommGroup
variable (μ)
variable {f g : α → E}
noncomputable def average (f : α → E) :=
∫ x, f x ∂(μ univ)⁻¹ • μ
#align measure_theory.average MeasureTheory.average
notation3 "⨍ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => average μ r
notation3 "⨍ "(...)", "r:60:(scoped f => average volume f) => r
notation3 "⨍ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => average (Measure.restrict μ s) r
notation3 "⨍ "(...)" in "s", "r:60:(scoped f => average (Measure.restrict volume s) f) => r
@[simp]
theorem average_zero : ⨍ _, (0 : E) ∂μ = 0 := by rw [average, integral_zero]
#align measure_theory.average_zero MeasureTheory.average_zero
@[simp]
theorem average_zero_measure (f : α → E) : ⨍ x, f x ∂(0 : Measure α) = 0 := by
rw [average, smul_zero, integral_zero_measure]
#align measure_theory.average_zero_measure MeasureTheory.average_zero_measure
@[simp]
theorem average_neg (f : α → E) : ⨍ x, -f x ∂μ = -⨍ x, f x ∂μ :=
integral_neg f
#align measure_theory.average_neg MeasureTheory.average_neg
theorem average_eq' (f : α → E) : ⨍ x, f x ∂μ = ∫ x, f x ∂(μ univ)⁻¹ • μ :=
rfl
#align measure_theory.average_eq' MeasureTheory.average_eq'
theorem average_eq (f : α → E) : ⨍ x, f x ∂μ = (μ univ).toReal⁻¹ • ∫ x, f x ∂μ := by
rw [average_eq', integral_smul_measure, ENNReal.toReal_inv]
#align measure_theory.average_eq MeasureTheory.average_eq
theorem average_eq_integral [IsProbabilityMeasure μ] (f : α → E) : ⨍ x, f x ∂μ = ∫ x, f x ∂μ := by
rw [average, measure_univ, inv_one, one_smul]
#align measure_theory.average_eq_integral MeasureTheory.average_eq_integral
@[simp]
theorem measure_smul_average [IsFiniteMeasure μ] (f : α → E) :
(μ univ).toReal • ⨍ x, f x ∂μ = ∫ x, f x ∂μ := by
rcases eq_or_ne μ 0 with hμ | hμ
· rw [hμ, integral_zero_measure, average_zero_measure, smul_zero]
· rw [average_eq, smul_inv_smul₀]
refine (ENNReal.toReal_pos ?_ <| measure_ne_top _ _).ne'
rwa [Ne, measure_univ_eq_zero]
#align measure_theory.measure_smul_average MeasureTheory.measure_smul_average
theorem setAverage_eq (f : α → E) (s : Set α) :
⨍ x in s, f x ∂μ = (μ s).toReal⁻¹ • ∫ x in s, f x ∂μ := by rw [average_eq, restrict_apply_univ]
#align measure_theory.set_average_eq MeasureTheory.setAverage_eq
theorem setAverage_eq' (f : α → E) (s : Set α) :
⨍ x in s, f x ∂μ = ∫ x, f x ∂(μ s)⁻¹ • μ.restrict s := by
simp only [average_eq', restrict_apply_univ]
#align measure_theory.set_average_eq' MeasureTheory.setAverage_eq'
variable {μ}
theorem average_congr {f g : α → E} (h : f =ᵐ[μ] g) : ⨍ x, f x ∂μ = ⨍ x, g x ∂μ := by
simp only [average_eq, integral_congr_ae h]
#align measure_theory.average_congr MeasureTheory.average_congr
theorem setAverage_congr (h : s =ᵐ[μ] t) : ⨍ x in s, f x ∂μ = ⨍ x in t, f x ∂μ := by
simp only [setAverage_eq, setIntegral_congr_set_ae h, measure_congr h]
#align measure_theory.set_average_congr MeasureTheory.setAverage_congr
| Mathlib/MeasureTheory/Integral/Average.lean | 369 | 370 | theorem setAverage_congr_fun (hs : MeasurableSet s) (h : ∀ᵐ x ∂μ, x ∈ s → f x = g x) :
⨍ x in s, f x ∂μ = ⨍ x in s, g x ∂μ := by | simp only [average_eq, setIntegral_congr_ae hs h]
| 0.0625 |
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Data.Fintype.Basic
import Mathlib.Data.Int.GCD
import Mathlib.RingTheory.Coprime.Basic
#align_import ring_theory.coprime.lemmas from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226"
universe u v
section RelPrime
variable {α I} [CommMonoid α] [DecompositionMonoid α] {x y z : α} {s : I → α} {t : Finset I}
theorem IsRelPrime.prod_left : (∀ i ∈ t, IsRelPrime (s i) x) → IsRelPrime (∏ i ∈ t, s i) x := by
classical
refine Finset.induction_on t (fun _ ↦ isRelPrime_one_left) fun b t hbt ih H ↦ ?_
rw [Finset.prod_insert hbt]
rw [Finset.forall_mem_insert] at H
exact H.1.mul_left (ih H.2)
theorem IsRelPrime.prod_right : (∀ i ∈ t, IsRelPrime x (s i)) → IsRelPrime x (∏ i ∈ t, s i) := by
simpa only [isRelPrime_comm] using IsRelPrime.prod_left (α := α)
theorem IsRelPrime.prod_left_iff : IsRelPrime (∏ i ∈ t, s i) x ↔ ∀ i ∈ t, IsRelPrime (s i) x := by
classical
refine Finset.induction_on t (iff_of_true isRelPrime_one_left fun _ ↦ by simp) fun b t hbt ih ↦ ?_
rw [Finset.prod_insert hbt, IsRelPrime.mul_left_iff, ih, Finset.forall_mem_insert]
theorem IsRelPrime.prod_right_iff : IsRelPrime x (∏ i ∈ t, s i) ↔ ∀ i ∈ t, IsRelPrime x (s i) := by
simpa only [isRelPrime_comm] using IsRelPrime.prod_left_iff (α := α)
theorem IsRelPrime.of_prod_left (H1 : IsRelPrime (∏ i ∈ t, s i) x) (i : I) (hit : i ∈ t) :
IsRelPrime (s i) x :=
IsRelPrime.prod_left_iff.1 H1 i hit
theorem IsRelPrime.of_prod_right (H1 : IsRelPrime x (∏ i ∈ t, s i)) (i : I) (hit : i ∈ t) :
IsRelPrime x (s i) :=
IsRelPrime.prod_right_iff.1 H1 i hit
| Mathlib/RingTheory/Coprime/Lemmas.lean | 261 | 275 | theorem Finset.prod_dvd_of_isRelPrime :
(t : Set I).Pairwise (IsRelPrime on s) → (∀ i ∈ t, s i ∣ z) → (∏ x ∈ t, s x) ∣ z := by |
classical
exact Finset.induction_on t (fun _ _ ↦ one_dvd z)
(by
intro a r har ih Hs Hs1
rw [Finset.prod_insert har]
have aux1 : a ∈ (↑(insert a r) : Set I) := Finset.mem_insert_self a r
refine
(IsRelPrime.prod_right fun i hir ↦
Hs aux1 (Finset.mem_insert_of_mem hir) <| by
rintro rfl
exact har hir).mul_dvd
(Hs1 a aux1) (ih (Hs.mono ?_) fun i hi ↦ Hs1 i <| Finset.mem_insert_of_mem hi)
simp only [Finset.coe_insert, Set.subset_insert])
| 0.0625 |
import Mathlib.Data.Matrix.Basic
import Mathlib.LinearAlgebra.Matrix.Trace
#align_import data.matrix.basis from "leanprover-community/mathlib"@"320df450e9abeb5fc6417971e75acb6ae8bc3794"
variable {l m n : Type*}
variable {R α : Type*}
namespace Matrix
open Matrix
variable [DecidableEq l] [DecidableEq m] [DecidableEq n]
variable [Semiring α]
def stdBasisMatrix (i : m) (j : n) (a : α) : Matrix m n α := fun i' j' =>
if i = i' ∧ j = j' then a else 0
#align matrix.std_basis_matrix Matrix.stdBasisMatrix
@[simp]
theorem smul_stdBasisMatrix [SMulZeroClass R α] (r : R) (i : m) (j : n) (a : α) :
r • stdBasisMatrix i j a = stdBasisMatrix i j (r • a) := by
unfold stdBasisMatrix
ext
simp [smul_ite]
#align matrix.smul_std_basis_matrix Matrix.smul_stdBasisMatrix
@[simp]
theorem stdBasisMatrix_zero (i : m) (j : n) : stdBasisMatrix i j (0 : α) = 0 := by
unfold stdBasisMatrix
ext
simp
#align matrix.std_basis_matrix_zero Matrix.stdBasisMatrix_zero
theorem stdBasisMatrix_add (i : m) (j : n) (a b : α) :
stdBasisMatrix i j (a + b) = stdBasisMatrix i j a + stdBasisMatrix i j b := by
unfold stdBasisMatrix; ext
split_ifs with h <;> simp [h]
#align matrix.std_basis_matrix_add Matrix.stdBasisMatrix_add
theorem mulVec_stdBasisMatrix [Fintype m] (i : n) (j : m) (c : α) (x : m → α) :
mulVec (stdBasisMatrix i j c) x = Function.update (0 : n → α) i (c * x j) := by
ext i'
simp [stdBasisMatrix, mulVec, dotProduct]
rcases eq_or_ne i i' with rfl|h
· simp
simp [h, h.symm]
theorem matrix_eq_sum_std_basis [Fintype m] [Fintype n] (x : Matrix m n α) :
x = ∑ i : m, ∑ j : n, stdBasisMatrix i j (x i j) := by
ext i j; symm
iterate 2 rw [Finset.sum_apply]
-- Porting note: was `convert`
refine (Fintype.sum_eq_single i ?_).trans ?_; swap
· -- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply`
simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix]
rw [Fintype.sum_apply, Fintype.sum_apply]
simp
· intro j' hj'
-- Porting note: `simp` seems unwilling to apply `Fintype.sum_apply`
simp (config := { unfoldPartialApp := true }) only [stdBasisMatrix]
rw [Fintype.sum_apply, Fintype.sum_apply]
simp [hj']
#align matrix.matrix_eq_sum_std_basis Matrix.matrix_eq_sum_std_basis
-- TODO: tie this up with the `Basis` machinery of linear algebra
-- this is not completely trivial because we are indexing by two types, instead of one
-- TODO: add `std_basis_vec`
theorem std_basis_eq_basis_mul_basis (i : m) (j : n) :
stdBasisMatrix i j (1 : α) =
vecMulVec (fun i' => ite (i = i') 1 0) fun j' => ite (j = j') 1 0 := by
ext i' j'
-- Porting note: was `norm_num [std_basis_matrix, vec_mul_vec]` though there are no numerals
-- involved.
simp only [stdBasisMatrix, vecMulVec, mul_ite, mul_one, mul_zero, of_apply]
-- Porting note: added next line
simp_rw [@and_comm (i = i')]
exact ite_and _ _ _ _
#align matrix.std_basis_eq_basis_mul_basis Matrix.std_basis_eq_basis_mul_basis
-- todo: the old proof used fintypes, I don't know `Finsupp` but this feels generalizable
@[elab_as_elim]
protected theorem induction_on' [Finite m] [Finite n] {P : Matrix m n α → Prop} (M : Matrix m n α)
(h_zero : P 0) (h_add : ∀ p q, P p → P q → P (p + q))
(h_std_basis : ∀ (i : m) (j : n) (x : α), P (stdBasisMatrix i j x)) : P M := by
cases nonempty_fintype m; cases nonempty_fintype n
rw [matrix_eq_sum_std_basis M, ← Finset.sum_product']
apply Finset.sum_induction _ _ h_add h_zero
· intros
apply h_std_basis
#align matrix.induction_on' Matrix.induction_on'
@[elab_as_elim]
protected theorem induction_on [Finite m] [Finite n] [Nonempty m] [Nonempty n]
{P : Matrix m n α → Prop} (M : Matrix m n α) (h_add : ∀ p q, P p → P q → P (p + q))
(h_std_basis : ∀ i j x, P (stdBasisMatrix i j x)) : P M :=
Matrix.induction_on' M
(by
inhabit m
inhabit n
simpa using h_std_basis default default 0)
h_add h_std_basis
#align matrix.induction_on Matrix.induction_on
namespace StdBasisMatrix
section
variable (i : m) (j : n) (c : α) (i' : m) (j' : n)
@[simp]
theorem apply_same : stdBasisMatrix i j c i j = c :=
if_pos (And.intro rfl rfl)
#align matrix.std_basis_matrix.apply_same Matrix.StdBasisMatrix.apply_same
@[simp]
theorem apply_of_ne (h : ¬(i = i' ∧ j = j')) : stdBasisMatrix i j c i' j' = 0 := by
simp only [stdBasisMatrix, and_imp, ite_eq_right_iff]
tauto
#align matrix.std_basis_matrix.apply_of_ne Matrix.StdBasisMatrix.apply_of_ne
@[simp]
| Mathlib/Data/Matrix/Basis.lean | 139 | 140 | theorem apply_of_row_ne {i i' : m} (hi : i ≠ i') (j j' : n) (a : α) :
stdBasisMatrix i j a i' j' = 0 := by | simp [hi]
| 0.0625 |
import Mathlib.NumberTheory.LegendreSymbol.QuadraticChar.Basic
#align_import number_theory.legendre_symbol.basic from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9"
open Nat
section Euler
section Legendre
open ZMod
variable (p : ℕ) [Fact p.Prime]
def legendreSym (a : ℤ) : ℤ :=
quadraticChar (ZMod p) a
#align legendre_sym legendreSym
namespace legendreSym
theorem eq_pow (a : ℤ) : (legendreSym p a : ZMod p) = (a : ZMod p) ^ (p / 2) := by
rcases eq_or_ne (ringChar (ZMod p)) 2 with hc | hc
· by_cases ha : (a : ZMod p) = 0
· rw [legendreSym, ha, quadraticChar_zero,
zero_pow (Nat.div_pos (@Fact.out p.Prime).two_le (succ_pos 1)).ne']
norm_cast
· have := (ringChar_zmod_n p).symm.trans hc
-- p = 2
subst p
rw [legendreSym, quadraticChar_eq_one_of_char_two hc ha]
revert ha
push_cast
generalize (a : ZMod 2) = b; fin_cases b
· tauto
· simp
· convert quadraticChar_eq_pow_of_char_ne_two' hc (a : ZMod p)
exact (card p).symm
#align legendre_sym.eq_pow legendreSym.eq_pow
theorem eq_one_or_neg_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) :
legendreSym p a = 1 ∨ legendreSym p a = -1 :=
quadraticChar_dichotomy ha
#align legendre_sym.eq_one_or_neg_one legendreSym.eq_one_or_neg_one
theorem eq_neg_one_iff_not_one {a : ℤ} (ha : (a : ZMod p) ≠ 0) :
legendreSym p a = -1 ↔ ¬legendreSym p a = 1 :=
quadraticChar_eq_neg_one_iff_not_one ha
#align legendre_sym.eq_neg_one_iff_not_one legendreSym.eq_neg_one_iff_not_one
theorem eq_zero_iff (a : ℤ) : legendreSym p a = 0 ↔ (a : ZMod p) = 0 :=
quadraticChar_eq_zero_iff
#align legendre_sym.eq_zero_iff legendreSym.eq_zero_iff
@[simp]
| Mathlib/NumberTheory/LegendreSymbol/Basic.lean | 152 | 152 | theorem at_zero : legendreSym p 0 = 0 := by | rw [legendreSym, Int.cast_zero, MulChar.map_zero]
| 0.0625 |
import Mathlib.Algebra.Module.Equiv
import Mathlib.Algebra.Module.Submodule.Basic
import Mathlib.Algebra.PUnitInstances
import Mathlib.Data.Set.Subsingleton
#align_import algebra.module.submodule.lattice from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
universe v
variable {R S M : Type*}
section AddCommMonoid
variable [Semiring R] [Semiring S] [AddCommMonoid M] [Module R M] [Module S M]
variable [SMul S R] [IsScalarTower S R M]
variable {p q : Submodule R M}
namespace Submodule
instance : Bot (Submodule R M) :=
⟨{ (⊥ : AddSubmonoid M) with
carrier := {0}
smul_mem' := by simp }⟩
instance inhabited' : Inhabited (Submodule R M) :=
⟨⊥⟩
#align submodule.inhabited' Submodule.inhabited'
@[simp]
theorem bot_coe : ((⊥ : Submodule R M) : Set M) = {0} :=
rfl
#align submodule.bot_coe Submodule.bot_coe
@[simp]
theorem bot_toAddSubmonoid : (⊥ : Submodule R M).toAddSubmonoid = ⊥ :=
rfl
#align submodule.bot_to_add_submonoid Submodule.bot_toAddSubmonoid
@[simp]
lemma bot_toAddSubgroup {R M} [Ring R] [AddCommGroup M] [Module R M] :
(⊥ : Submodule R M).toAddSubgroup = ⊥ := rfl
variable (R) in
@[simp]
theorem mem_bot {x : M} : x ∈ (⊥ : Submodule R M) ↔ x = 0 :=
Set.mem_singleton_iff
#align submodule.mem_bot Submodule.mem_bot
instance uniqueBot : Unique (⊥ : Submodule R M) :=
⟨inferInstance, fun x ↦ Subtype.ext <| (mem_bot R).1 x.mem⟩
#align submodule.unique_bot Submodule.uniqueBot
instance : OrderBot (Submodule R M) where
bot := ⊥
bot_le p x := by simp (config := { contextual := true }) [zero_mem]
protected theorem eq_bot_iff (p : Submodule R M) : p = ⊥ ↔ ∀ x ∈ p, x = (0 : M) :=
⟨fun h ↦ h.symm ▸ fun _ hx ↦ (mem_bot R).mp hx,
fun h ↦ eq_bot_iff.mpr fun x hx ↦ (mem_bot R).mpr (h x hx)⟩
#align submodule.eq_bot_iff Submodule.eq_bot_iff
@[ext high]
protected theorem bot_ext (x y : (⊥ : Submodule R M)) : x = y := by
rcases x with ⟨x, xm⟩; rcases y with ⟨y, ym⟩; congr
rw [(Submodule.eq_bot_iff _).mp rfl x xm]
rw [(Submodule.eq_bot_iff _).mp rfl y ym]
#align submodule.bot_ext Submodule.bot_ext
protected theorem ne_bot_iff (p : Submodule R M) : p ≠ ⊥ ↔ ∃ x ∈ p, x ≠ (0 : M) := by
simp only [ne_eq, p.eq_bot_iff, not_forall, exists_prop]
#align submodule.ne_bot_iff Submodule.ne_bot_iff
theorem nonzero_mem_of_bot_lt {p : Submodule R M} (bot_lt : ⊥ < p) : ∃ a : p, a ≠ 0 :=
let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp bot_lt.ne'
⟨⟨b, hb₁⟩, hb₂ ∘ congr_arg Subtype.val⟩
#align submodule.nonzero_mem_of_bot_lt Submodule.nonzero_mem_of_bot_lt
theorem exists_mem_ne_zero_of_ne_bot {p : Submodule R M} (h : p ≠ ⊥) : ∃ b : M, b ∈ p ∧ b ≠ 0 :=
let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp h
⟨b, hb₁, hb₂⟩
#align submodule.exists_mem_ne_zero_of_ne_bot Submodule.exists_mem_ne_zero_of_ne_bot
-- FIXME: we default PUnit to PUnit.{1} here without the explicit universe annotation
@[simps]
def botEquivPUnit : (⊥ : Submodule R M) ≃ₗ[R] PUnit.{v+1} where
toFun _ := PUnit.unit
invFun _ := 0
map_add' _ _ := rfl
map_smul' _ _ := rfl
left_inv _ := Subsingleton.elim _ _
right_inv _ := rfl
#align submodule.bot_equiv_punit Submodule.botEquivPUnit
| Mathlib/Algebra/Module/Submodule/Lattice.lean | 122 | 125 | theorem subsingleton_iff_eq_bot : Subsingleton p ↔ p = ⊥ := by |
rw [subsingleton_iff, Submodule.eq_bot_iff]
refine ⟨fun h x hx ↦ by simpa using h ⟨x, hx⟩ ⟨0, p.zero_mem⟩,
fun h ⟨x, hx⟩ ⟨y, hy⟩ ↦ by simp [h x hx, h y hy]⟩
| 0.0625 |
import Mathlib.Data.Set.Image
import Mathlib.Data.List.GetD
#align_import data.set.list from "leanprover-community/mathlib"@"2ec920d35348cb2d13ac0e1a2ad9df0fdf1a76b4"
open List
variable {α β : Type*} (l : List α)
namespace Set
theorem range_list_map (f : α → β) : range (map f) = { l | ∀ x ∈ l, x ∈ range f } := by
refine antisymm (range_subset_iff.2 fun l => forall_mem_map_iff.2 fun y _ => mem_range_self _)
fun l hl => ?_
induction' l with a l ihl; · exact ⟨[], rfl⟩
rcases ihl fun x hx => hl x <| subset_cons _ _ hx with ⟨l, rfl⟩
rcases hl a (mem_cons_self _ _) with ⟨a, rfl⟩
exact ⟨a :: l, map_cons _ _ _⟩
#align set.range_list_map Set.range_list_map
theorem range_list_map_coe (s : Set α) : range (map ((↑) : s → α)) = { l | ∀ x ∈ l, x ∈ s } := by
rw [range_list_map, Subtype.range_coe]
#align set.range_list_map_coe Set.range_list_map_coe
@[simp]
theorem range_list_get : range l.get = { x | x ∈ l } := by
ext x
rw [mem_setOf_eq, mem_iff_get, mem_range]
#align set.range_list_nth_le Set.range_list_get
@[deprecated (since := "2024-04-22")] alias range_list_nthLe := range_list_get
theorem range_list_get? : range l.get? = insert none (some '' { x | x ∈ l }) := by
rw [← range_list_get, ← range_comp]
refine (range_subset_iff.2 fun n => ?_).antisymm (insert_subset_iff.2 ⟨?_, ?_⟩)
exacts [(le_or_lt l.length n).imp get?_eq_none.2 (fun hlt => ⟨⟨_, hlt⟩, (get?_eq_get hlt).symm⟩),
⟨_, get?_eq_none.2 le_rfl⟩, range_subset_iff.2 fun k => ⟨_, get?_eq_get _⟩]
#align set.range_list_nth Set.range_list_get?
@[simp]
| Mathlib/Data/Set/List.lean | 52 | 57 | theorem range_list_getD (d : α) : (range fun n => l.getD n d) = insert d { x | x ∈ l } :=
calc
(range fun n => l.getD n d) = (fun o : Option α => o.getD d) '' range l.get? := by |
simp only [← range_comp, (· ∘ ·), getD_eq_getD_get?]
_ = insert d { x | x ∈ l } := by
simp only [range_list_get?, image_insert_eq, Option.getD, image_image, image_id']
| 0.0625 |
import Mathlib.Control.Bitraversable.Basic
#align_import control.bitraversable.lemmas from "leanprover-community/mathlib"@"58581d0fe523063f5651df0619be2bf65012a94a"
universe u
variable {t : Type u → Type u → Type u} [Bitraversable t]
variable {β : Type u}
namespace Bitraversable
open Functor LawfulApplicative
variable {F G : Type u → Type u} [Applicative F] [Applicative G]
abbrev tfst {α α'} (f : α → F α') : t α β → F (t α' β) :=
bitraverse f pure
#align bitraversable.tfst Bitraversable.tfst
abbrev tsnd {α α'} (f : α → F α') : t β α → F (t β α') :=
bitraverse pure f
#align bitraversable.tsnd Bitraversable.tsnd
variable [LawfulBitraversable t] [LawfulApplicative F] [LawfulApplicative G]
@[higher_order tfst_id]
theorem id_tfst : ∀ {α β} (x : t α β), tfst (F := Id) pure x = pure x :=
id_bitraverse
#align bitraversable.id_tfst Bitraversable.id_tfst
@[higher_order tsnd_id]
theorem id_tsnd : ∀ {α β} (x : t α β), tsnd (F := Id) pure x = pure x :=
id_bitraverse
#align bitraversable.id_tsnd Bitraversable.id_tsnd
@[higher_order tfst_comp_tfst]
theorem comp_tfst {α₀ α₁ α₂ β} (f : α₀ → F α₁) (f' : α₁ → G α₂) (x : t α₀ β) :
Comp.mk (tfst f' <$> tfst f x) = tfst (Comp.mk ∘ map f' ∘ f) x := by
rw [← comp_bitraverse]
simp only [Function.comp, tfst, map_pure, Pure.pure]
#align bitraversable.comp_tfst Bitraversable.comp_tfst
@[higher_order tfst_comp_tsnd]
theorem tfst_tsnd {α₀ α₁ β₀ β₁} (f : α₀ → F α₁) (f' : β₀ → G β₁) (x : t α₀ β₀) :
Comp.mk (tfst f <$> tsnd f' x)
= bitraverse (Comp.mk ∘ pure ∘ f) (Comp.mk ∘ map pure ∘ f') x := by
rw [← comp_bitraverse]
simp only [Function.comp, map_pure]
#align bitraversable.tfst_tsnd Bitraversable.tfst_tsnd
@[higher_order tsnd_comp_tfst]
| Mathlib/Control/Bitraversable/Lemmas.lean | 87 | 91 | theorem tsnd_tfst {α₀ α₁ β₀ β₁} (f : α₀ → F α₁) (f' : β₀ → G β₁) (x : t α₀ β₀) :
Comp.mk (tsnd f' <$> tfst f x)
= bitraverse (Comp.mk ∘ map pure ∘ f) (Comp.mk ∘ pure ∘ f') x := by |
rw [← comp_bitraverse]
simp only [Function.comp, map_pure]
| 0.0625 |
import Batteries.Data.Array.Lemmas
namespace ByteArray
@[ext] theorem ext : {a b : ByteArray} → a.data = b.data → a = b
| ⟨_⟩, ⟨_⟩, rfl => rfl
theorem getElem_eq_data_getElem (a : ByteArray) (h : i < a.size) : a[i] = a.data[i] := rfl
@[simp] theorem uset_eq_set (a : ByteArray) {i : USize} (h : i.toNat < a.size) (v : UInt8) :
a.uset i v h = a.set ⟨i.toNat, h⟩ v := rfl
@[simp] theorem mkEmpty_data (cap) : (mkEmpty cap).data = #[] := rfl
@[simp] theorem empty_data : empty.data = #[] := rfl
@[simp] theorem size_empty : empty.size = 0 := rfl
@[simp] theorem push_data (a : ByteArray) (b : UInt8) : (a.push b).data = a.data.push b := rfl
@[simp] theorem size_push (a : ByteArray) (b : UInt8) : (a.push b).size = a.size + 1 :=
Array.size_push ..
@[simp] theorem get_push_eq (a : ByteArray) (x : UInt8) : (a.push x)[a.size] = x :=
Array.get_push_eq ..
theorem get_push_lt (a : ByteArray) (x : UInt8) (i : Nat) (h : i < a.size) :
(a.push x)[i]'(size_push .. ▸ Nat.lt_succ_of_lt h) = a[i] :=
Array.get_push_lt ..
@[simp] theorem set_data (a : ByteArray) (i : Fin a.size) (v : UInt8) :
(a.set i v).data = a.data.set i v := rfl
@[simp] theorem size_set (a : ByteArray) (i : Fin a.size) (v : UInt8) :
(a.set i v).size = a.size :=
Array.size_set ..
@[simp] theorem get_set_eq (a : ByteArray) (i : Fin a.size) (v : UInt8) : (a.set i v)[i.val] = v :=
Array.get_set_eq ..
theorem get_set_ne (a : ByteArray) (i : Fin a.size) (v : UInt8) (hj : j < a.size) (h : i.val ≠ j) :
(a.set i v)[j]'(a.size_set .. ▸ hj) = a[j] :=
Array.get_set_ne (h:=h) ..
theorem set_set (a : ByteArray) (i : Fin a.size) (v v' : UInt8) :
(a.set i v).set ⟨i, by simp [i.2]⟩ v' = a.set i v' :=
ByteArray.ext <| Array.set_set ..
@[simp] theorem copySlice_data (a i b j len exact) :
(copySlice a i b j len exact).data = b.data.extract 0 j ++ a.data.extract i (i + len)
++ b.data.extract (j + min len (a.data.size - i)) b.data.size := rfl
@[simp] theorem append_eq (a b) : ByteArray.append a b = a ++ b := rfl
@[simp] theorem append_data (a b : ByteArray) : (a ++ b).data = a.data ++ b.data := by
rw [←append_eq]; simp [ByteArray.append, size]
rw [Array.extract_empty_of_stop_le_start (h:=Nat.le_add_right ..), Array.append_nil]
theorem size_append (a b : ByteArray) : (a ++ b).size = a.size + b.size := by
simp only [size, append_eq, append_data]; exact Array.size_append ..
theorem get_append_left {a b : ByteArray} (hlt : i < a.size)
(h : i < (a ++ b).size := size_append .. ▸ Nat.lt_of_lt_of_le hlt (Nat.le_add_right ..)) :
(a ++ b)[i] = a[i] := by
simp [getElem_eq_data_getElem]; exact Array.get_append_left hlt
theorem get_append_right {a b : ByteArray} (hle : a.size ≤ i) (h : i < (a ++ b).size)
(h' : i - a.size < b.size := Nat.sub_lt_left_of_lt_add hle (size_append .. ▸ h)) :
(a ++ b)[i] = b[i - a.size] := by
simp [getElem_eq_data_getElem]; exact Array.get_append_right hle
@[simp] theorem extract_data (a : ByteArray) (start stop) :
(a.extract start stop).data = a.data.extract start stop := by
simp [extract]
match Nat.le_total start stop with
| .inl h => simp [h, Nat.add_sub_cancel']
| .inr h => simp [h, Nat.sub_eq_zero_of_le, Array.extract_empty_of_stop_le_start]
@[simp] theorem size_extract (a : ByteArray) (start stop) :
(a.extract start stop).size = min stop a.size - start := by
simp [size]
| .lake/packages/batteries/Batteries/Data/ByteArray.lean | 102 | 105 | theorem get_extract_aux {a : ByteArray} {start stop} (h : i < (a.extract start stop).size) :
start + i < a.size := by |
apply Nat.add_lt_of_lt_sub'; apply Nat.lt_of_lt_of_le h
rw [size_extract, ← Nat.sub_min_sub_right]; exact Nat.min_le_right ..
| 0.0625 |
import Mathlib.Combinatorics.SimpleGraph.Coloring
#align_import combinatorics.simple_graph.partition from "leanprover-community/mathlib"@"2303b3e299f1c75b07bceaaac130ce23044d1386"
universe u v
namespace SimpleGraph
variable {V : Type u} (G : SimpleGraph V)
structure Partition where
parts : Set (Set V)
isPartition : Setoid.IsPartition parts
independent : ∀ s ∈ parts, IsAntichain G.Adj s
#align simple_graph.partition SimpleGraph.Partition
def Partition.PartsCardLe {G : SimpleGraph V} (P : G.Partition) (n : ℕ) : Prop :=
∃ h : P.parts.Finite, h.toFinset.card ≤ n
#align simple_graph.partition.parts_card_le SimpleGraph.Partition.PartsCardLe
def Partitionable (n : ℕ) : Prop := ∃ P : G.Partition, P.PartsCardLe n
#align simple_graph.partitionable SimpleGraph.Partitionable
namespace Partition
variable {G} (P : G.Partition)
def partOfVertex (v : V) : Set V := Classical.choose (P.isPartition.2 v)
#align simple_graph.partition.part_of_vertex SimpleGraph.Partition.partOfVertex
theorem partOfVertex_mem (v : V) : P.partOfVertex v ∈ P.parts := by
obtain ⟨h, -⟩ := (P.isPartition.2 v).choose_spec.1
exact h
#align simple_graph.partition.part_of_vertex_mem SimpleGraph.Partition.partOfVertex_mem
| Mathlib/Combinatorics/SimpleGraph/Partition.lean | 93 | 95 | theorem mem_partOfVertex (v : V) : v ∈ P.partOfVertex v := by |
obtain ⟨⟨_, h⟩, _⟩ := (P.isPartition.2 v).choose_spec
exact h
| 0.0625 |
import Mathlib.FieldTheory.RatFunc.Defs
import Mathlib.RingTheory.EuclideanDomain
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.RingTheory.Polynomial.Content
#align_import field_theory.ratfunc from "leanprover-community/mathlib"@"bf9bbbcf0c1c1ead18280b0d010e417b10abb1b6"
universe u v
noncomputable section
open scoped Classical
open scoped nonZeroDivisors Polynomial
variable {K : Type u}
namespace RatFunc
section Field
variable [CommRing K]
protected irreducible_def zero : RatFunc K :=
⟨0⟩
#align ratfunc.zero RatFunc.zero
instance : Zero (RatFunc K) :=
⟨RatFunc.zero⟩
-- Porting note: added `OfNat.ofNat`. using `simp?` produces `simp only [zero_def]`
-- that does not close the goal
theorem ofFractionRing_zero : (ofFractionRing 0 : RatFunc K) = 0 := by
simp only [Zero.zero, OfNat.ofNat, RatFunc.zero]
#align ratfunc.of_fraction_ring_zero RatFunc.ofFractionRing_zero
protected irreducible_def add : RatFunc K → RatFunc K → RatFunc K
| ⟨p⟩, ⟨q⟩ => ⟨p + q⟩
#align ratfunc.add RatFunc.add
instance : Add (RatFunc K) :=
⟨RatFunc.add⟩
-- Porting note: added `HAdd.hAdd`. using `simp?` produces `simp only [add_def]`
-- that does not close the goal
theorem ofFractionRing_add (p q : FractionRing K[X]) :
ofFractionRing (p + q) = ofFractionRing p + ofFractionRing q := by
simp only [HAdd.hAdd, Add.add, RatFunc.add]
#align ratfunc.of_fraction_ring_add RatFunc.ofFractionRing_add
protected irreducible_def sub : RatFunc K → RatFunc K → RatFunc K
| ⟨p⟩, ⟨q⟩ => ⟨p - q⟩
#align ratfunc.sub RatFunc.sub
instance : Sub (RatFunc K) :=
⟨RatFunc.sub⟩
-- Porting note: added `HSub.hSub`. using `simp?` produces `simp only [sub_def]`
-- that does not close the goal
theorem ofFractionRing_sub (p q : FractionRing K[X]) :
ofFractionRing (p - q) = ofFractionRing p - ofFractionRing q := by
simp only [Sub.sub, HSub.hSub, RatFunc.sub]
#align ratfunc.of_fraction_ring_sub RatFunc.ofFractionRing_sub
protected irreducible_def neg : RatFunc K → RatFunc K
| ⟨p⟩ => ⟨-p⟩
#align ratfunc.neg RatFunc.neg
instance : Neg (RatFunc K) :=
⟨RatFunc.neg⟩
theorem ofFractionRing_neg (p : FractionRing K[X]) :
ofFractionRing (-p) = -ofFractionRing p := by simp only [Neg.neg, RatFunc.neg]
#align ratfunc.of_fraction_ring_neg RatFunc.ofFractionRing_neg
protected irreducible_def one : RatFunc K :=
⟨1⟩
#align ratfunc.one RatFunc.one
instance : One (RatFunc K) :=
⟨RatFunc.one⟩
-- Porting note: added `OfNat.ofNat`. using `simp?` produces `simp only [one_def]`
-- that does not close the goal
theorem ofFractionRing_one : (ofFractionRing 1 : RatFunc K) = 1 := by
simp only [One.one, OfNat.ofNat, RatFunc.one]
#align ratfunc.of_fraction_ring_one RatFunc.ofFractionRing_one
protected irreducible_def mul : RatFunc K → RatFunc K → RatFunc K
| ⟨p⟩, ⟨q⟩ => ⟨p * q⟩
#align ratfunc.mul RatFunc.mul
instance : Mul (RatFunc K) :=
⟨RatFunc.mul⟩
-- Porting note: added `HMul.hMul`. using `simp?` produces `simp only [mul_def]`
-- that does not close the goal
| Mathlib/FieldTheory/RatFunc/Basic.lean | 145 | 147 | theorem ofFractionRing_mul (p q : FractionRing K[X]) :
ofFractionRing (p * q) = ofFractionRing p * ofFractionRing q := by |
simp only [Mul.mul, HMul.hMul, RatFunc.mul]
| 0.0625 |
import Mathlib.Data.Finset.Lattice
import Mathlib.Data.Fintype.Vector
import Mathlib.Data.Multiset.Sym
#align_import data.finset.sym from "leanprover-community/mathlib"@"02ba8949f486ebecf93fe7460f1ed0564b5e442c"
namespace Finset
variable {α : Type*}
@[simps]
protected def sym2 (s : Finset α) : Finset (Sym2 α) := ⟨s.1.sym2, s.2.sym2⟩
#align finset.sym2 Finset.sym2
section
variable {s t : Finset α} {a b : α}
| Mathlib/Data/Finset/Sym.lean | 46 | 47 | theorem mk_mem_sym2_iff : s(a, b) ∈ s.sym2 ↔ a ∈ s ∧ b ∈ s := by |
rw [mem_mk, sym2_val, Multiset.mk_mem_sym2_iff, mem_mk, mem_mk]
| 0.0625 |
import Mathlib.Data.Finset.Sum
import Mathlib.Data.Sum.Order
import Mathlib.Order.Interval.Finset.Defs
#align_import data.sum.interval from "leanprover-community/mathlib"@"48a058d7e39a80ed56858505719a0b2197900999"
open Function Sum
namespace Finset
variable {α₁ α₂ β₁ β₂ γ₁ γ₂ : Type*}
section SumLift₂
variable (f f₁ g₁ : α₁ → β₁ → Finset γ₁) (g f₂ g₂ : α₂ → β₂ → Finset γ₂)
@[simp]
def sumLift₂ : ∀ (_ : Sum α₁ α₂) (_ : Sum β₁ β₂), Finset (Sum γ₁ γ₂)
| inl a, inl b => (f a b).map Embedding.inl
| inl _, inr _ => ∅
| inr _, inl _ => ∅
| inr a, inr b => (g a b).map Embedding.inr
#align finset.sum_lift₂ Finset.sumLift₂
variable {f f₁ g₁ g f₂ g₂} {a : Sum α₁ α₂} {b : Sum β₁ β₂} {c : Sum γ₁ γ₂}
theorem mem_sumLift₂ :
c ∈ sumLift₂ f g a b ↔
(∃ a₁ b₁ c₁, a = inl a₁ ∧ b = inl b₁ ∧ c = inl c₁ ∧ c₁ ∈ f a₁ b₁) ∨
∃ a₂ b₂ c₂, a = inr a₂ ∧ b = inr b₂ ∧ c = inr c₂ ∧ c₂ ∈ g a₂ b₂ := by
constructor
· cases' a with a a <;> cases' b with b b
· rw [sumLift₂, mem_map]
rintro ⟨c, hc, rfl⟩
exact Or.inl ⟨a, b, c, rfl, rfl, rfl, hc⟩
· refine fun h ↦ (not_mem_empty _ h).elim
· refine fun h ↦ (not_mem_empty _ h).elim
· rw [sumLift₂, mem_map]
rintro ⟨c, hc, rfl⟩
exact Or.inr ⟨a, b, c, rfl, rfl, rfl, hc⟩
· rintro (⟨a, b, c, rfl, rfl, rfl, h⟩ | ⟨a, b, c, rfl, rfl, rfl, h⟩) <;> exact mem_map_of_mem _ h
#align finset.mem_sum_lift₂ Finset.mem_sumLift₂
| Mathlib/Data/Sum/Interval.lean | 60 | 65 | theorem inl_mem_sumLift₂ {c₁ : γ₁} :
inl c₁ ∈ sumLift₂ f g a b ↔ ∃ a₁ b₁, a = inl a₁ ∧ b = inl b₁ ∧ c₁ ∈ f a₁ b₁ := by |
rw [mem_sumLift₂, or_iff_left]
· simp only [inl.injEq, exists_and_left, exists_eq_left']
rintro ⟨_, _, c₂, _, _, h, _⟩
exact inl_ne_inr h
| 0.0625 |
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Algebra.Polynomial.Roots
import Mathlib.RingTheory.EuclideanDomain
#align_import data.polynomial.field_division from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821"
noncomputable section
open Polynomial
namespace Polynomial
universe u v w y z
variable {R : Type u} {S : Type v} {k : Type y} {A : Type z} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R]
theorem rootMultiplicity_sub_one_le_derivative_rootMultiplicity_of_ne_zero
(p : R[X]) (t : R) (hnezero : derivative p ≠ 0) :
p.rootMultiplicity t - 1 ≤ p.derivative.rootMultiplicity t :=
(le_rootMultiplicity_iff hnezero).2 <|
pow_sub_one_dvd_derivative_of_pow_dvd (p.pow_rootMultiplicity_dvd t)
theorem derivative_rootMultiplicity_of_root_of_mem_nonZeroDivisors
{p : R[X]} {t : R} (hpt : Polynomial.IsRoot p t)
(hnzd : (p.rootMultiplicity t : R) ∈ nonZeroDivisors R) :
(derivative p).rootMultiplicity t = p.rootMultiplicity t - 1 := by
by_cases h : p = 0
· simp only [h, map_zero, rootMultiplicity_zero]
obtain ⟨g, hp, hndvd⟩ := p.exists_eq_pow_rootMultiplicity_mul_and_not_dvd h t
set m := p.rootMultiplicity t
have hm : m - 1 + 1 = m := Nat.sub_add_cancel <| (rootMultiplicity_pos h).2 hpt
have hndvd : ¬(X - C t) ^ m ∣ derivative p := by
rw [hp, derivative_mul, dvd_add_left (dvd_mul_right _ _),
derivative_X_sub_C_pow, ← hm, pow_succ, hm, mul_comm (C _), mul_assoc,
dvd_cancel_left_mem_nonZeroDivisors (monic_X_sub_C t |>.pow _ |>.mem_nonZeroDivisors)]
rw [dvd_iff_isRoot, IsRoot] at hndvd ⊢
rwa [eval_mul, eval_C, mul_left_mem_nonZeroDivisors_eq_zero_iff hnzd]
have hnezero : derivative p ≠ 0 := fun h ↦ hndvd (by rw [h]; exact dvd_zero _)
exact le_antisymm (by rwa [rootMultiplicity_le_iff hnezero, hm])
(rootMultiplicity_sub_one_le_derivative_rootMultiplicity_of_ne_zero _ t hnezero)
theorem isRoot_iterate_derivative_of_lt_rootMultiplicity {p : R[X]} {t : R} {n : ℕ}
(hn : n < p.rootMultiplicity t) : (derivative^[n] p).IsRoot t :=
dvd_iff_isRoot.mp <| (dvd_pow_self _ <| Nat.sub_ne_zero_of_lt hn).trans
(pow_sub_dvd_iterate_derivative_of_pow_dvd _ <| p.pow_rootMultiplicity_dvd t)
open Finset in
theorem eval_iterate_derivative_rootMultiplicity {p : R[X]} {t : R} :
(derivative^[p.rootMultiplicity t] p).eval t =
(p.rootMultiplicity t).factorial • (p /ₘ (X - C t) ^ p.rootMultiplicity t).eval t := by
set m := p.rootMultiplicity t with hm
conv_lhs => rw [← p.pow_mul_divByMonic_rootMultiplicity_eq t, ← hm]
rw [iterate_derivative_mul, eval_finset_sum, sum_eq_single_of_mem _ (mem_range.mpr m.succ_pos)]
· rw [m.choose_zero_right, one_smul, eval_mul, m.sub_zero, iterate_derivative_X_sub_pow_self,
eval_natCast, nsmul_eq_mul]; rfl
· intro b hb hb0
rw [iterate_derivative_X_sub_pow, eval_smul, eval_mul, eval_smul, eval_pow,
Nat.sub_sub_self (mem_range_succ_iff.mp hb), eval_sub, eval_X, eval_C, sub_self,
zero_pow hb0, smul_zero, zero_mul, smul_zero]
| Mathlib/Algebra/Polynomial/FieldDivision.lean | 78 | 89 | theorem lt_rootMultiplicity_of_isRoot_iterate_derivative_of_mem_nonZeroDivisors
{p : R[X]} {t : R} {n : ℕ} (h : p ≠ 0)
(hroot : ∀ m ≤ n, (derivative^[m] p).IsRoot t)
(hnzd : (n.factorial : R) ∈ nonZeroDivisors R) :
n < p.rootMultiplicity t := by |
by_contra! h'
replace hroot := hroot _ h'
simp only [IsRoot, eval_iterate_derivative_rootMultiplicity] at hroot
obtain ⟨q, hq⟩ := Nat.cast_dvd_cast (α := R) <| Nat.factorial_dvd_factorial h'
rw [hq, mul_mem_nonZeroDivisors] at hnzd
rw [nsmul_eq_mul, mul_left_mem_nonZeroDivisors_eq_zero_iff hnzd.1] at hroot
exact eval_divByMonic_pow_rootMultiplicity_ne_zero t h hroot
| 0.0625 |
import Mathlib.Algebra.CharP.ExpChar
import Mathlib.Algebra.GeomSum
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Equiv
import Mathlib.RingTheory.Polynomial.Content
import Mathlib.RingTheory.UniqueFactorizationDomain
#align_import ring_theory.polynomial.basic from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff"
noncomputable section
open Polynomial
open Finset
universe u v w
variable {R : Type u} {S : Type*}
namespace Polynomial
section Semiring
variable [Semiring R]
instance instCharP (p : ℕ) [h : CharP R p] : CharP R[X] p :=
let ⟨h⟩ := h
⟨fun n => by rw [← map_natCast C, ← C_0, C_inj, h]⟩
instance instExpChar (p : ℕ) [h : ExpChar R p] : ExpChar R[X] p := by
cases h; exacts [ExpChar.zero, ExpChar.prime ‹_›]
variable (R)
def degreeLE (n : WithBot ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ _ : ↑k > n, LinearMap.ker (lcoeff R k)
#align polynomial.degree_le Polynomial.degreeLE
def degreeLT (n : ℕ) : Submodule R R[X] :=
⨅ k : ℕ, ⨅ (_ : k ≥ n), LinearMap.ker (lcoeff R k)
#align polynomial.degree_lt Polynomial.degreeLT
variable {R}
theorem mem_degreeLE {n : WithBot ℕ} {f : R[X]} : f ∈ degreeLE R n ↔ degree f ≤ n := by
simp only [degreeLE, Submodule.mem_iInf, degree_le_iff_coeff_zero, LinearMap.mem_ker]; rfl
#align polynomial.mem_degree_le Polynomial.mem_degreeLE
@[mono]
theorem degreeLE_mono {m n : WithBot ℕ} (H : m ≤ n) : degreeLE R m ≤ degreeLE R n := fun _ hf =>
mem_degreeLE.2 (le_trans (mem_degreeLE.1 hf) H)
#align polynomial.degree_le_mono Polynomial.degreeLE_mono
theorem degreeLE_eq_span_X_pow [DecidableEq R] {n : ℕ} :
degreeLE R n = Submodule.span R ↑((Finset.range (n + 1)).image fun n => (X : R[X]) ^ n) := by
apply le_antisymm
· intro p hp
replace hp := mem_degreeLE.1 hp
rw [← Polynomial.sum_monomial_eq p, Polynomial.sum]
refine Submodule.sum_mem _ fun k hk => ?_
have := WithBot.coe_le_coe.1 (Finset.sup_le_iff.1 hp k hk)
rw [← C_mul_X_pow_eq_monomial, C_mul']
refine
Submodule.smul_mem _ _
(Submodule.subset_span <|
Finset.mem_coe.2 <|
Finset.mem_image.2 ⟨_, Finset.mem_range.2 (Nat.lt_succ_of_le this), rfl⟩)
rw [Submodule.span_le, Finset.coe_image, Set.image_subset_iff]
intro k hk
apply mem_degreeLE.2
exact
(degree_X_pow_le _).trans (WithBot.coe_le_coe.2 <| Nat.le_of_lt_succ <| Finset.mem_range.1 hk)
set_option linter.uppercaseLean3 false in
#align polynomial.degree_le_eq_span_X_pow Polynomial.degreeLE_eq_span_X_pow
| Mathlib/RingTheory/Polynomial/Basic.lean | 98 | 109 | theorem mem_degreeLT {n : ℕ} {f : R[X]} : f ∈ degreeLT R n ↔ degree f < n := by |
rw [degreeLT, Submodule.mem_iInf]
conv_lhs => intro i; rw [Submodule.mem_iInf]
rw [degree, Finset.max_eq_sup_coe]
rw [Finset.sup_lt_iff ?_]
rotate_left
· apply WithBot.bot_lt_coe
conv_rhs =>
simp only [mem_support_iff]
intro b
rw [Nat.cast_withBot, WithBot.coe_lt_coe, lt_iff_not_le, Ne, not_imp_not]
rfl
| 0.0625 |
import Mathlib.RingTheory.Localization.Basic
#align_import ring_theory.localization.integer from "leanprover-community/mathlib"@"9556784a5b84697562e9c6acb40500d4a82e675a"
variable {R : Type*} [CommSemiring R] {M : Submonoid R} {S : Type*} [CommSemiring S]
variable [Algebra R S] {P : Type*} [CommSemiring P]
open Function
namespace IsLocalization
section
variable (R)
-- TODO: define a subalgebra of `IsInteger`s
def IsInteger (a : S) : Prop :=
a ∈ (algebraMap R S).rangeS
#align is_localization.is_integer IsLocalization.IsInteger
end
theorem isInteger_zero : IsInteger R (0 : S) :=
Subsemiring.zero_mem _
#align is_localization.is_integer_zero IsLocalization.isInteger_zero
theorem isInteger_one : IsInteger R (1 : S) :=
Subsemiring.one_mem _
#align is_localization.is_integer_one IsLocalization.isInteger_one
theorem isInteger_add {a b : S} (ha : IsInteger R a) (hb : IsInteger R b) : IsInteger R (a + b) :=
Subsemiring.add_mem _ ha hb
#align is_localization.is_integer_add IsLocalization.isInteger_add
theorem isInteger_mul {a b : S} (ha : IsInteger R a) (hb : IsInteger R b) : IsInteger R (a * b) :=
Subsemiring.mul_mem _ ha hb
#align is_localization.is_integer_mul IsLocalization.isInteger_mul
theorem isInteger_smul {a : R} {b : S} (hb : IsInteger R b) : IsInteger R (a • b) := by
rcases hb with ⟨b', hb⟩
use a * b'
rw [← hb, (algebraMap R S).map_mul, Algebra.smul_def]
#align is_localization.is_integer_smul IsLocalization.isInteger_smul
variable (M)
variable [IsLocalization M S]
theorem exists_integer_multiple' (a : S) : ∃ b : M, IsInteger R (a * algebraMap R S b) :=
let ⟨⟨Num, denom⟩, h⟩ := IsLocalization.surj _ a
⟨denom, Set.mem_range.mpr ⟨Num, h.symm⟩⟩
#align is_localization.exists_integer_multiple' IsLocalization.exists_integer_multiple'
| Mathlib/RingTheory/Localization/Integer.lean | 85 | 87 | theorem exists_integer_multiple (a : S) : ∃ b : M, IsInteger R ((b : R) • a) := by |
simp_rw [Algebra.smul_def, mul_comm _ a]
apply exists_integer_multiple'
| 0.0625 |
import Mathlib.SetTheory.Cardinal.Basic
import Mathlib.Tactic.Ring
#align_import data.nat.count from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
open Finset
namespace Nat
variable (p : ℕ → Prop)
section Count
variable [DecidablePred p]
def count (n : ℕ) : ℕ :=
(List.range n).countP p
#align nat.count Nat.count
@[simp]
theorem count_zero : count p 0 = 0 := by
rw [count, List.range_zero, List.countP, List.countP.go]
#align nat.count_zero Nat.count_zero
def CountSet.fintype (n : ℕ) : Fintype { i // i < n ∧ p i } := by
apply Fintype.ofFinset ((Finset.range n).filter p)
intro x
rw [mem_filter, mem_range]
rfl
#align nat.count_set.fintype Nat.CountSet.fintype
scoped[Count] attribute [instance] Nat.CountSet.fintype
open Count
theorem count_eq_card_filter_range (n : ℕ) : count p n = ((range n).filter p).card := by
rw [count, List.countP_eq_length_filter]
rfl
#align nat.count_eq_card_filter_range Nat.count_eq_card_filter_range
theorem count_eq_card_fintype (n : ℕ) : count p n = Fintype.card { k : ℕ // k < n ∧ p k } := by
rw [count_eq_card_filter_range, ← Fintype.card_ofFinset, ← CountSet.fintype]
rfl
#align nat.count_eq_card_fintype Nat.count_eq_card_fintype
theorem count_succ (n : ℕ) : count p (n + 1) = count p n + if p n then 1 else 0 := by
split_ifs with h <;> simp [count, List.range_succ, h]
#align nat.count_succ Nat.count_succ
@[mono]
theorem count_monotone : Monotone (count p) :=
monotone_nat_of_le_succ fun n ↦ by by_cases h : p n <;> simp [count_succ, h]
#align nat.count_monotone Nat.count_monotone
theorem count_add (a b : ℕ) : count p (a + b) = count p a + count (fun k ↦ p (a + k)) b := by
have : Disjoint ((range a).filter p) (((range b).map <| addLeftEmbedding a).filter p) := by
apply disjoint_filter_filter
rw [Finset.disjoint_left]
simp_rw [mem_map, mem_range, addLeftEmbedding_apply]
rintro x hx ⟨c, _, rfl⟩
exact (self_le_add_right _ _).not_lt hx
simp_rw [count_eq_card_filter_range, range_add, filter_union, card_union_of_disjoint this,
filter_map, addLeftEmbedding, card_map]
rfl
#align nat.count_add Nat.count_add
theorem count_add' (a b : ℕ) : count p (a + b) = count (fun k ↦ p (k + b)) a + count p b := by
rw [add_comm, count_add, add_comm]
simp_rw [add_comm b]
#align nat.count_add' Nat.count_add'
theorem count_one : count p 1 = if p 0 then 1 else 0 := by simp [count_succ]
#align nat.count_one Nat.count_one
theorem count_succ' (n : ℕ) :
count p (n + 1) = count (fun k ↦ p (k + 1)) n + if p 0 then 1 else 0 := by
rw [count_add', count_one]
#align nat.count_succ' Nat.count_succ'
variable {p}
@[simp]
theorem count_lt_count_succ_iff {n : ℕ} : count p n < count p (n + 1) ↔ p n := by
by_cases h : p n <;> simp [count_succ, h]
#align nat.count_lt_count_succ_iff Nat.count_lt_count_succ_iff
theorem count_succ_eq_succ_count_iff {n : ℕ} : count p (n + 1) = count p n + 1 ↔ p n := by
by_cases h : p n <;> simp [h, count_succ]
#align nat.count_succ_eq_succ_count_iff Nat.count_succ_eq_succ_count_iff
theorem count_succ_eq_count_iff {n : ℕ} : count p (n + 1) = count p n ↔ ¬p n := by
by_cases h : p n <;> simp [h, count_succ]
#align nat.count_succ_eq_count_iff Nat.count_succ_eq_count_iff
alias ⟨_, count_succ_eq_succ_count⟩ := count_succ_eq_succ_count_iff
#align nat.count_succ_eq_succ_count Nat.count_succ_eq_succ_count
alias ⟨_, count_succ_eq_count⟩ := count_succ_eq_count_iff
#align nat.count_succ_eq_count Nat.count_succ_eq_count
| Mathlib/Data/Nat/Count.lean | 120 | 122 | theorem count_le_cardinal (n : ℕ) : (count p n : Cardinal) ≤ Cardinal.mk { k | p k } := by |
rw [count_eq_card_fintype, ← Cardinal.mk_fintype]
exact Cardinal.mk_subtype_mono fun x hx ↦ hx.2
| 0.0625 |
import Mathlib.Topology.Separation
#align_import topology.sober from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
open Set
variable {α β : Type*} [TopologicalSpace α] [TopologicalSpace β]
section genericPoint
def IsGenericPoint (x : α) (S : Set α) : Prop :=
closure ({x} : Set α) = S
#align is_generic_point IsGenericPoint
theorem isGenericPoint_def {x : α} {S : Set α} : IsGenericPoint x S ↔ closure ({x} : Set α) = S :=
Iff.rfl
#align is_generic_point_def isGenericPoint_def
theorem IsGenericPoint.def {x : α} {S : Set α} (h : IsGenericPoint x S) :
closure ({x} : Set α) = S :=
h
#align is_generic_point.def IsGenericPoint.def
theorem isGenericPoint_closure {x : α} : IsGenericPoint x (closure ({x} : Set α)) :=
refl _
#align is_generic_point_closure isGenericPoint_closure
variable {x y : α} {S U Z : Set α}
theorem isGenericPoint_iff_specializes : IsGenericPoint x S ↔ ∀ y, x ⤳ y ↔ y ∈ S := by
simp only [specializes_iff_mem_closure, IsGenericPoint, Set.ext_iff]
#align is_generic_point_iff_specializes isGenericPoint_iff_specializes
section Sober
@[mk_iff]
class QuasiSober (α : Type*) [TopologicalSpace α] : Prop where
sober : ∀ {S : Set α}, IsIrreducible S → IsClosed S → ∃ x, IsGenericPoint x S
#align quasi_sober QuasiSober
noncomputable def IsIrreducible.genericPoint [QuasiSober α] {S : Set α} (hS : IsIrreducible S) :
α :=
(QuasiSober.sober hS.closure isClosed_closure).choose
#align is_irreducible.generic_point IsIrreducible.genericPoint
theorem IsIrreducible.genericPoint_spec [QuasiSober α] {S : Set α} (hS : IsIrreducible S) :
IsGenericPoint hS.genericPoint (closure S) :=
(QuasiSober.sober hS.closure isClosed_closure).choose_spec
#align is_irreducible.generic_point_spec IsIrreducible.genericPoint_spec
@[simp]
theorem IsIrreducible.genericPoint_closure_eq [QuasiSober α] {S : Set α} (hS : IsIrreducible S) :
closure ({hS.genericPoint} : Set α) = closure S :=
hS.genericPoint_spec
#align is_irreducible.generic_point_closure_eq IsIrreducible.genericPoint_closure_eq
variable (α)
noncomputable def genericPoint [QuasiSober α] [IrreducibleSpace α] : α :=
(IrreducibleSpace.isIrreducible_univ α).genericPoint
#align generic_point genericPoint
| Mathlib/Topology/Sober.lean | 148 | 150 | theorem genericPoint_spec [QuasiSober α] [IrreducibleSpace α] :
IsGenericPoint (genericPoint α) ⊤ := by |
simpa using (IrreducibleSpace.isIrreducible_univ α).genericPoint_spec
| 0.0625 |
import Mathlib.Geometry.Euclidean.Inversion.Basic
import Mathlib.Geometry.Euclidean.PerpBisector
open Metric Function AffineMap Set AffineSubspace
open scoped Topology
variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P] {c x y : P} {R : ℝ}
namespace EuclideanGeometry
theorem inversion_mem_perpBisector_inversion_iff (hR : R ≠ 0) (hx : x ≠ c) (hy : y ≠ c) :
inversion c R x ∈ perpBisector c (inversion c R y) ↔ dist x y = dist y c := by
rw [mem_perpBisector_iff_dist_eq, dist_inversion_inversion hx hy, dist_inversion_center]
have hx' := dist_ne_zero.2 hx
have hy' := dist_ne_zero.2 hy
field_simp [mul_assoc, mul_comm, hx, hx.symm, eq_comm]
| Mathlib/Geometry/Euclidean/Inversion/ImageHyperplane.lean | 46 | 50 | theorem inversion_mem_perpBisector_inversion_iff' (hR : R ≠ 0) (hy : y ≠ c) :
inversion c R x ∈ perpBisector c (inversion c R y) ↔ dist x y = dist y c ∧ x ≠ c := by |
rcases eq_or_ne x c with rfl | hx
· simp [*]
· simp [inversion_mem_perpBisector_inversion_iff hR hx hy, hx]
| 0.0625 |
import Mathlib.Algebra.BigOperators.Group.Multiset
import Mathlib.Data.PNat.Prime
import Mathlib.Data.Nat.Factors
import Mathlib.Data.Multiset.Sort
#align_import data.pnat.factors from "leanprover-community/mathlib"@"e3d9ab8faa9dea8f78155c6c27d62a621f4c152d"
-- Porting note: `deriving` contained Inhabited, CanonicallyOrderedAddCommMonoid, DistribLattice,
-- SemilatticeSup, OrderBot, Sub, OrderedSub
def PrimeMultiset :=
Multiset Nat.Primes deriving Inhabited, CanonicallyOrderedAddCommMonoid, DistribLattice,
SemilatticeSup, Sub
#align prime_multiset PrimeMultiset
instance : OrderBot PrimeMultiset where
bot_le := by simp only [bot_le, forall_const]
instance : OrderedSub PrimeMultiset where
tsub_le_iff_right _ _ _ := Multiset.sub_le_iff_le_add
namespace PrimeMultiset
-- `@[derive]` doesn't work for `meta` instances
unsafe instance : Repr PrimeMultiset := by delta PrimeMultiset; infer_instance
def ofPrime (p : Nat.Primes) : PrimeMultiset :=
({p} : Multiset Nat.Primes)
#align prime_multiset.of_prime PrimeMultiset.ofPrime
theorem card_ofPrime (p : Nat.Primes) : Multiset.card (ofPrime p) = 1 :=
rfl
#align prime_multiset.card_of_prime PrimeMultiset.card_ofPrime
def toNatMultiset : PrimeMultiset → Multiset ℕ := fun v => v.map Coe.coe
#align prime_multiset.to_nat_multiset PrimeMultiset.toNatMultiset
instance coeNat : Coe PrimeMultiset (Multiset ℕ) :=
⟨toNatMultiset⟩
#align prime_multiset.coe_nat PrimeMultiset.coeNat
def coeNatMonoidHom : PrimeMultiset →+ Multiset ℕ :=
{ Multiset.mapAddMonoidHom Coe.coe with toFun := Coe.coe }
#align prime_multiset.coe_nat_monoid_hom PrimeMultiset.coeNatMonoidHom
@[simp]
theorem coe_coeNatMonoidHom : (coeNatMonoidHom : PrimeMultiset → Multiset ℕ) = Coe.coe :=
rfl
#align prime_multiset.coe_coe_nat_monoid_hom PrimeMultiset.coe_coeNatMonoidHom
theorem coeNat_injective : Function.Injective (Coe.coe : PrimeMultiset → Multiset ℕ) :=
Multiset.map_injective Nat.Primes.coe_nat_injective
#align prime_multiset.coe_nat_injective PrimeMultiset.coeNat_injective
theorem coeNat_ofPrime (p : Nat.Primes) : (ofPrime p : Multiset ℕ) = {(p : ℕ)} :=
rfl
#align prime_multiset.coe_nat_of_prime PrimeMultiset.coeNat_ofPrime
theorem coeNat_prime (v : PrimeMultiset) (p : ℕ) (h : p ∈ (v : Multiset ℕ)) : p.Prime := by
rcases Multiset.mem_map.mp h with ⟨⟨_, hp'⟩, ⟨_, h_eq⟩⟩
exact h_eq ▸ hp'
#align prime_multiset.coe_nat_prime PrimeMultiset.coeNat_prime
def toPNatMultiset : PrimeMultiset → Multiset ℕ+ := fun v => v.map Coe.coe
#align prime_multiset.to_pnat_multiset PrimeMultiset.toPNatMultiset
instance coePNat : Coe PrimeMultiset (Multiset ℕ+) :=
⟨toPNatMultiset⟩
#align prime_multiset.coe_pnat PrimeMultiset.coePNat
def coePNatMonoidHom : PrimeMultiset →+ Multiset ℕ+ :=
{ Multiset.mapAddMonoidHom Coe.coe with toFun := Coe.coe }
#align prime_multiset.coe_pnat_monoid_hom PrimeMultiset.coePNatMonoidHom
@[simp]
theorem coe_coePNatMonoidHom : (coePNatMonoidHom : PrimeMultiset → Multiset ℕ+) = Coe.coe :=
rfl
#align prime_multiset.coe_coe_pnat_monoid_hom PrimeMultiset.coe_coePNatMonoidHom
theorem coePNat_injective : Function.Injective (Coe.coe : PrimeMultiset → Multiset ℕ+) :=
Multiset.map_injective Nat.Primes.coe_pnat_injective
#align prime_multiset.coe_pnat_injective PrimeMultiset.coePNat_injective
theorem coePNat_ofPrime (p : Nat.Primes) : (ofPrime p : Multiset ℕ+) = {(p : ℕ+)} :=
rfl
#align prime_multiset.coe_pnat_of_prime PrimeMultiset.coePNat_ofPrime
theorem coePNat_prime (v : PrimeMultiset) (p : ℕ+) (h : p ∈ (v : Multiset ℕ+)) : p.Prime := by
rcases Multiset.mem_map.mp h with ⟨⟨_, hp'⟩, ⟨_, h_eq⟩⟩
exact h_eq ▸ hp'
#align prime_multiset.coe_pnat_prime PrimeMultiset.coePNat_prime
instance coeMultisetPNatNat : Coe (Multiset ℕ+) (Multiset ℕ) :=
⟨fun v => v.map Coe.coe⟩
#align prime_multiset.coe_multiset_pnat_nat PrimeMultiset.coeMultisetPNatNat
| Mathlib/Data/PNat/Factors.lean | 130 | 133 | theorem coePNat_nat (v : PrimeMultiset) : ((v : Multiset ℕ+) : Multiset ℕ) = (v : Multiset ℕ) := by |
change (v.map (Coe.coe : Nat.Primes → ℕ+)).map Subtype.val = v.map Subtype.val
rw [Multiset.map_map]
congr
| 0.0625 |
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.FieldTheory.Minpoly.IsIntegrallyClosed
import Mathlib.RingTheory.PowerBasis
#align_import ring_theory.is_adjoin_root from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
open scoped Polynomial
open Polynomial
noncomputable section
universe u v
-- Porting note: this looks like something that should not be here
-- -- This class doesn't really make sense on a predicate
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure IsAdjoinRoot {R : Type u} (S : Type v) [CommSemiring R] [Semiring S] [Algebra R S]
(f : R[X]) : Type max u v where
map : R[X] →+* S
map_surjective : Function.Surjective map
ker_map : RingHom.ker map = Ideal.span {f}
algebraMap_eq : algebraMap R S = map.comp Polynomial.C
#align is_adjoin_root IsAdjoinRoot
-- This class doesn't really make sense on a predicate
-- @[nolint has_nonempty_instance] -- Porting note: This linter does not exist yet.
structure IsAdjoinRootMonic {R : Type u} (S : Type v) [CommSemiring R] [Semiring S] [Algebra R S]
(f : R[X]) extends IsAdjoinRoot S f where
Monic : Monic f
#align is_adjoin_root_monic IsAdjoinRootMonic
section Ring
variable {R : Type u} {S : Type v} [CommRing R] [Ring S] {f : R[X]} [Algebra R S]
namespace IsAdjoinRoot
def root (h : IsAdjoinRoot S f) : S :=
h.map X
#align is_adjoin_root.root IsAdjoinRoot.root
theorem subsingleton (h : IsAdjoinRoot S f) [Subsingleton R] : Subsingleton S :=
h.map_surjective.subsingleton
#align is_adjoin_root.subsingleton IsAdjoinRoot.subsingleton
| Mathlib/RingTheory/IsAdjoinRoot.lean | 127 | 128 | theorem algebraMap_apply (h : IsAdjoinRoot S f) (x : R) :
algebraMap R S x = h.map (Polynomial.C x) := by | rw [h.algebraMap_eq, RingHom.comp_apply]
| 0.0625 |
import Mathlib.Algebra.Order.Monoid.Unbundled.MinMax
import Mathlib.Algebra.Order.Monoid.WithTop
import Mathlib.Data.Finset.Image
import Mathlib.Data.Multiset.Fold
#align_import data.finset.fold from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
-- TODO:
-- assert_not_exists OrderedCommMonoid
assert_not_exists MonoidWithZero
namespace Finset
open Multiset
variable {α β γ : Type*}
section Fold
variable (op : β → β → β) [hc : Std.Commutative op] [ha : Std.Associative op]
local notation a " * " b => op a b
def fold (b : β) (f : α → β) (s : Finset α) : β :=
(s.1.map f).fold op b
#align finset.fold Finset.fold
variable {op} {f : α → β} {b : β} {s : Finset α} {a : α}
@[simp]
theorem fold_empty : (∅ : Finset α).fold op b f = b :=
rfl
#align finset.fold_empty Finset.fold_empty
@[simp]
theorem fold_cons (h : a ∉ s) : (cons a s h).fold op b f = f a * s.fold op b f := by
dsimp only [fold]
rw [cons_val, Multiset.map_cons, fold_cons_left]
#align finset.fold_cons Finset.fold_cons
@[simp]
theorem fold_insert [DecidableEq α] (h : a ∉ s) :
(insert a s).fold op b f = f a * s.fold op b f := by
unfold fold
rw [insert_val, ndinsert_of_not_mem h, Multiset.map_cons, fold_cons_left]
#align finset.fold_insert Finset.fold_insert
@[simp]
theorem fold_singleton : ({a} : Finset α).fold op b f = f a * b :=
rfl
#align finset.fold_singleton Finset.fold_singleton
@[simp]
theorem fold_map {g : γ ↪ α} {s : Finset γ} : (s.map g).fold op b f = s.fold op b (f ∘ g) := by
simp only [fold, map, Multiset.map_map]
#align finset.fold_map Finset.fold_map
@[simp]
theorem fold_image [DecidableEq α] {g : γ → α} {s : Finset γ}
(H : ∀ x ∈ s, ∀ y ∈ s, g x = g y → x = y) : (s.image g).fold op b f = s.fold op b (f ∘ g) := by
simp only [fold, image_val_of_injOn H, Multiset.map_map]
#align finset.fold_image Finset.fold_image
@[congr]
theorem fold_congr {g : α → β} (H : ∀ x ∈ s, f x = g x) : s.fold op b f = s.fold op b g := by
rw [fold, fold, map_congr rfl H]
#align finset.fold_congr Finset.fold_congr
theorem fold_op_distrib {f g : α → β} {b₁ b₂ : β} :
(s.fold op (b₁ * b₂) fun x => f x * g x) = s.fold op b₁ f * s.fold op b₂ g := by
simp only [fold, fold_distrib]
#align finset.fold_op_distrib Finset.fold_op_distrib
theorem fold_const [hd : Decidable (s = ∅)] (c : β) (h : op c (op b c) = op b c) :
Finset.fold op b (fun _ => c) s = if s = ∅ then b else op b c := by
classical
induction' s using Finset.induction_on with x s hx IH generalizing hd
· simp
· simp only [Finset.fold_insert hx, IH, if_false, Finset.insert_ne_empty]
split_ifs
· rw [hc.comm]
· exact h
#align finset.fold_const Finset.fold_const
| Mathlib/Data/Finset/Fold.lean | 99 | 103 | theorem fold_hom {op' : γ → γ → γ} [Std.Commutative op'] [Std.Associative op'] {m : β → γ}
(hm : ∀ x y, m (op x y) = op' (m x) (m y)) :
(s.fold op' (m b) fun x => m (f x)) = m (s.fold op b f) := by |
rw [fold, fold, ← Multiset.fold_hom op hm, Multiset.map_map]
simp only [Function.comp_apply]
| 0.0625 |
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Dynamics.FixedPoints.Basic
open Finset Function
section AddCommMonoid
variable {α M : Type*} [AddCommMonoid M]
def birkhoffSum (f : α → α) (g : α → M) (n : ℕ) (x : α) : M := ∑ k ∈ range n, g (f^[k] x)
theorem birkhoffSum_zero (f : α → α) (g : α → M) (x : α) : birkhoffSum f g 0 x = 0 :=
sum_range_zero _
@[simp]
theorem birkhoffSum_zero' (f : α → α) (g : α → M) : birkhoffSum f g 0 = 0 :=
funext <| birkhoffSum_zero _ _
theorem birkhoffSum_one (f : α → α) (g : α → M) (x : α) : birkhoffSum f g 1 x = g x :=
sum_range_one _
@[simp]
theorem birkhoffSum_one' (f : α → α) (g : α → M) : birkhoffSum f g 1 = g :=
funext <| birkhoffSum_one f g
theorem birkhoffSum_succ (f : α → α) (g : α → M) (n : ℕ) (x : α) :
birkhoffSum f g (n + 1) x = birkhoffSum f g n x + g (f^[n] x) :=
sum_range_succ _ _
theorem birkhoffSum_succ' (f : α → α) (g : α → M) (n : ℕ) (x : α) :
birkhoffSum f g (n + 1) x = g x + birkhoffSum f g n (f x) :=
(sum_range_succ' _ _).trans (add_comm _ _)
| Mathlib/Dynamics/BirkhoffSum/Basic.lean | 51 | 53 | theorem birkhoffSum_add (f : α → α) (g : α → M) (m n : ℕ) (x : α) :
birkhoffSum f g (m + n) x = birkhoffSum f g m x + birkhoffSum f g n (f^[m] x) := by |
simp_rw [birkhoffSum, sum_range_add, add_comm m, iterate_add_apply]
| 0.0625 |
import Mathlib.SetTheory.Cardinal.Basic
import Mathlib.Tactic.Ring
#align_import data.nat.count from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
open Finset
namespace Nat
variable (p : ℕ → Prop)
section Count
variable [DecidablePred p]
def count (n : ℕ) : ℕ :=
(List.range n).countP p
#align nat.count Nat.count
@[simp]
theorem count_zero : count p 0 = 0 := by
rw [count, List.range_zero, List.countP, List.countP.go]
#align nat.count_zero Nat.count_zero
def CountSet.fintype (n : ℕ) : Fintype { i // i < n ∧ p i } := by
apply Fintype.ofFinset ((Finset.range n).filter p)
intro x
rw [mem_filter, mem_range]
rfl
#align nat.count_set.fintype Nat.CountSet.fintype
scoped[Count] attribute [instance] Nat.CountSet.fintype
open Count
theorem count_eq_card_filter_range (n : ℕ) : count p n = ((range n).filter p).card := by
rw [count, List.countP_eq_length_filter]
rfl
#align nat.count_eq_card_filter_range Nat.count_eq_card_filter_range
theorem count_eq_card_fintype (n : ℕ) : count p n = Fintype.card { k : ℕ // k < n ∧ p k } := by
rw [count_eq_card_filter_range, ← Fintype.card_ofFinset, ← CountSet.fintype]
rfl
#align nat.count_eq_card_fintype Nat.count_eq_card_fintype
theorem count_succ (n : ℕ) : count p (n + 1) = count p n + if p n then 1 else 0 := by
split_ifs with h <;> simp [count, List.range_succ, h]
#align nat.count_succ Nat.count_succ
@[mono]
theorem count_monotone : Monotone (count p) :=
monotone_nat_of_le_succ fun n ↦ by by_cases h : p n <;> simp [count_succ, h]
#align nat.count_monotone Nat.count_monotone
| Mathlib/Data/Nat/Count.lean | 74 | 83 | theorem count_add (a b : ℕ) : count p (a + b) = count p a + count (fun k ↦ p (a + k)) b := by |
have : Disjoint ((range a).filter p) (((range b).map <| addLeftEmbedding a).filter p) := by
apply disjoint_filter_filter
rw [Finset.disjoint_left]
simp_rw [mem_map, mem_range, addLeftEmbedding_apply]
rintro x hx ⟨c, _, rfl⟩
exact (self_le_add_right _ _).not_lt hx
simp_rw [count_eq_card_filter_range, range_add, filter_union, card_union_of_disjoint this,
filter_map, addLeftEmbedding, card_map]
rfl
| 0.0625 |
import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.FDeriv.Mul
import Mathlib.Analysis.Calculus.FDeriv.Add
#align_import analysis.calculus.deriv.mul from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
universe u v w
noncomputable section
open scoped Classical Topology Filter ENNReal
open Filter Asymptotics Set
open ContinuousLinearMap (smulRight smulRight_one_eq_iff)
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {f f₀ f₁ g : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
section Mul
variable {𝕜' 𝔸 : Type*} [NormedField 𝕜'] [NormedRing 𝔸] [NormedAlgebra 𝕜 𝕜'] [NormedAlgebra 𝕜 𝔸]
{c d : 𝕜 → 𝔸} {c' d' : 𝔸} {u v : 𝕜 → 𝕜'}
| Mathlib/Analysis/Calculus/Deriv/Mul.lean | 206 | 212 | theorem HasDerivWithinAt.mul (hc : HasDerivWithinAt c c' s x) (hd : HasDerivWithinAt d d' s x) :
HasDerivWithinAt (fun y => c y * d y) (c' * d x + c x * d') s x := by |
have := (HasFDerivWithinAt.mul' hc hd).hasDerivWithinAt
rwa [ContinuousLinearMap.add_apply, ContinuousLinearMap.smul_apply,
ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.smulRight_apply,
ContinuousLinearMap.smulRight_apply, ContinuousLinearMap.one_apply, one_smul, one_smul,
add_comm] at this
| 0.0625 |
import Mathlib.Data.Matrix.Notation
import Mathlib.LinearAlgebra.BilinearMap
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.Algebra.Lie.Basic
#align_import linear_algebra.cross_product from "leanprover-community/mathlib"@"91288e351d51b3f0748f0a38faa7613fb0ae2ada"
open Matrix
open Matrix
variable {R : Type*} [CommRing R]
def crossProduct : (Fin 3 → R) →ₗ[R] (Fin 3 → R) →ₗ[R] Fin 3 → R := by
apply LinearMap.mk₂ R fun a b : Fin 3 → R =>
![a 1 * b 2 - a 2 * b 1, a 2 * b 0 - a 0 * b 2, a 0 * b 1 - a 1 * b 0]
· intros
simp_rw [vec3_add, Pi.add_apply]
apply vec3_eq <;> ring
· intros
simp_rw [smul_vec3, Pi.smul_apply, smul_sub, smul_mul_assoc]
· intros
simp_rw [vec3_add, Pi.add_apply]
apply vec3_eq <;> ring
· intros
simp_rw [smul_vec3, Pi.smul_apply, smul_sub, mul_smul_comm]
#align cross_product crossProduct
scoped[Matrix] infixl:74 " ×₃ " => crossProduct
theorem cross_apply (a b : Fin 3 → R) :
a ×₃ b = ![a 1 * b 2 - a 2 * b 1, a 2 * b 0 - a 0 * b 2, a 0 * b 1 - a 1 * b 0] := rfl
#align cross_apply cross_apply
section LeibnizProperties
| Mathlib/LinearAlgebra/CrossProduct.lean | 146 | 148 | theorem leibniz_cross (u v w : Fin 3 → R) : u ×₃ (v ×₃ w) = u ×₃ v ×₃ w + v ×₃ (u ×₃ w) := by |
simp_rw [cross_apply, vec3_add]
apply vec3_eq <;> norm_num <;> ring
| 0.0625 |
import Mathlib.Algebra.Group.Subgroup.MulOpposite
import Mathlib.Algebra.Group.Submonoid.Pointwise
import Mathlib.GroupTheory.GroupAction.ConjAct
#align_import group_theory.subgroup.pointwise from "leanprover-community/mathlib"@"e655e4ea5c6d02854696f97494997ba4c31be802"
open Set
open Pointwise
variable {α G A S : Type*}
@[to_additive (attr := simp, norm_cast)]
theorem inv_coe_set [InvolutiveInv G] [SetLike S G] [InvMemClass S G] {H : S} : (H : Set G)⁻¹ = H :=
Set.ext fun _ => inv_mem_iff
#align inv_coe_set inv_coe_set
#align neg_coe_set neg_coe_set
@[to_additive (attr := simp)]
lemma smul_coe_set [Group G] [SetLike S G] [SubgroupClass S G] {s : S} {a : G} (ha : a ∈ s) :
a • (s : Set G) = s := by
ext; simp [Set.mem_smul_set_iff_inv_smul_mem, mul_mem_cancel_left, ha]
@[to_additive (attr := simp)]
lemma op_smul_coe_set [Group G] [SetLike S G] [SubgroupClass S G] {s : S} {a : G} (ha : a ∈ s) :
MulOpposite.op a • (s : Set G) = s := by
ext; simp [Set.mem_smul_set_iff_inv_smul_mem, mul_mem_cancel_right, ha]
@[to_additive (attr := simp, norm_cast)]
lemma coe_mul_coe [SetLike S G] [DivInvMonoid G] [SubgroupClass S G] (H : S) :
H * H = (H : Set G) := by aesop (add simp mem_mul)
@[to_additive (attr := simp, norm_cast)]
lemma coe_div_coe [SetLike S G] [DivisionMonoid G] [SubgroupClass S G] (H : S) :
H / H = (H : Set G) := by simp [div_eq_mul_inv]
variable [Group G] [AddGroup A] {s : Set G}
namespace Subgroup
@[to_additive (attr := simp)]
theorem inv_subset_closure (S : Set G) : S⁻¹ ⊆ closure S := fun s hs => by
rw [SetLike.mem_coe, ← Subgroup.inv_mem_iff]
exact subset_closure (mem_inv.mp hs)
#align subgroup.inv_subset_closure Subgroup.inv_subset_closure
#align add_subgroup.neg_subset_closure AddSubgroup.neg_subset_closure
@[to_additive]
| Mathlib/Algebra/Group/Subgroup/Pointwise.lean | 73 | 81 | theorem closure_toSubmonoid (S : Set G) :
(closure S).toSubmonoid = Submonoid.closure (S ∪ S⁻¹) := by |
refine le_antisymm (fun x hx => ?_) (Submonoid.closure_le.2 ?_)
· refine
closure_induction hx
(fun x hx => Submonoid.closure_mono subset_union_left (Submonoid.subset_closure hx))
(Submonoid.one_mem _) (fun x y hx hy => Submonoid.mul_mem _ hx hy) fun x hx => ?_
rwa [← Submonoid.mem_closure_inv, Set.union_inv, inv_inv, Set.union_comm]
· simp only [true_and_iff, coe_toSubmonoid, union_subset_iff, subset_closure, inv_subset_closure]
| 0.0625 |
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.Asymptotics.Theta
import Mathlib.Analysis.Normed.Order.Basic
#align_import analysis.asymptotics.asymptotic_equivalent from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
namespace Asymptotics
open Filter Function
open Topology
section NormedAddCommGroup
variable {α β : Type*} [NormedAddCommGroup β]
def IsEquivalent (l : Filter α) (u v : α → β) :=
(u - v) =o[l] v
#align asymptotics.is_equivalent Asymptotics.IsEquivalent
@[inherit_doc] scoped notation:50 u " ~[" l:50 "] " v:50 => Asymptotics.IsEquivalent l u v
variable {u v w : α → β} {l : Filter α}
theorem IsEquivalent.isLittleO (h : u ~[l] v) : (u - v) =o[l] v := h
#align asymptotics.is_equivalent.is_o Asymptotics.IsEquivalent.isLittleO
nonrec theorem IsEquivalent.isBigO (h : u ~[l] v) : u =O[l] v :=
(IsBigO.congr_of_sub h.isBigO.symm).mp (isBigO_refl _ _)
set_option linter.uppercaseLean3 false in
#align asymptotics.is_equivalent.is_O Asymptotics.IsEquivalent.isBigO
theorem IsEquivalent.isBigO_symm (h : u ~[l] v) : v =O[l] u := by
convert h.isLittleO.right_isBigO_add
simp
set_option linter.uppercaseLean3 false in
#align asymptotics.is_equivalent.is_O_symm Asymptotics.IsEquivalent.isBigO_symm
theorem IsEquivalent.isTheta (h : u ~[l] v) : u =Θ[l] v :=
⟨h.isBigO, h.isBigO_symm⟩
theorem IsEquivalent.isTheta_symm (h : u ~[l] v) : v =Θ[l] u :=
⟨h.isBigO_symm, h.isBigO⟩
@[refl]
theorem IsEquivalent.refl : u ~[l] u := by
rw [IsEquivalent, sub_self]
exact isLittleO_zero _ _
#align asymptotics.is_equivalent.refl Asymptotics.IsEquivalent.refl
@[symm]
theorem IsEquivalent.symm (h : u ~[l] v) : v ~[l] u :=
(h.isLittleO.trans_isBigO h.isBigO_symm).symm
#align asymptotics.is_equivalent.symm Asymptotics.IsEquivalent.symm
@[trans]
theorem IsEquivalent.trans {l : Filter α} {u v w : α → β} (huv : u ~[l] v) (hvw : v ~[l] w) :
u ~[l] w :=
(huv.isLittleO.trans_isBigO hvw.isBigO).triangle hvw.isLittleO
#align asymptotics.is_equivalent.trans Asymptotics.IsEquivalent.trans
theorem IsEquivalent.congr_left {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (huw : u =ᶠ[l] w) :
w ~[l] v :=
huv.congr' (huw.sub (EventuallyEq.refl _ _)) (EventuallyEq.refl _ _)
#align asymptotics.is_equivalent.congr_left Asymptotics.IsEquivalent.congr_left
theorem IsEquivalent.congr_right {u v w : α → β} {l : Filter α} (huv : u ~[l] v) (hvw : v =ᶠ[l] w) :
u ~[l] w :=
(huv.symm.congr_left hvw).symm
#align asymptotics.is_equivalent.congr_right Asymptotics.IsEquivalent.congr_right
theorem isEquivalent_zero_iff_eventually_zero : u ~[l] 0 ↔ u =ᶠ[l] 0 := by
rw [IsEquivalent, sub_zero]
exact isLittleO_zero_right_iff
#align asymptotics.is_equivalent_zero_iff_eventually_zero Asymptotics.isEquivalent_zero_iff_eventually_zero
theorem isEquivalent_zero_iff_isBigO_zero : u ~[l] 0 ↔ u =O[l] (0 : α → β) := by
refine ⟨IsEquivalent.isBigO, fun h ↦ ?_⟩
rw [isEquivalent_zero_iff_eventually_zero, eventuallyEq_iff_exists_mem]
exact ⟨{ x : α | u x = 0 }, isBigO_zero_right_iff.mp h, fun x hx ↦ hx⟩
set_option linter.uppercaseLean3 false in
#align asymptotics.is_equivalent_zero_iff_is_O_zero Asymptotics.isEquivalent_zero_iff_isBigO_zero
theorem isEquivalent_const_iff_tendsto {c : β} (h : c ≠ 0) :
u ~[l] const _ c ↔ Tendsto u l (𝓝 c) := by
simp (config := { unfoldPartialApp := true }) only [IsEquivalent, const, isLittleO_const_iff h]
constructor <;> intro h
· have := h.sub (tendsto_const_nhds (x := -c))
simp only [Pi.sub_apply, sub_neg_eq_add, sub_add_cancel, zero_add] at this
exact this
· have := h.sub (tendsto_const_nhds (x := c))
rwa [sub_self] at this
#align asymptotics.is_equivalent_const_iff_tendsto Asymptotics.isEquivalent_const_iff_tendsto
theorem IsEquivalent.tendsto_const {c : β} (hu : u ~[l] const _ c) : Tendsto u l (𝓝 c) := by
rcases em <| c = 0 with rfl | h
· exact (tendsto_congr' <| isEquivalent_zero_iff_eventually_zero.mp hu).mpr tendsto_const_nhds
· exact (isEquivalent_const_iff_tendsto h).mp hu
#align asymptotics.is_equivalent.tendsto_const Asymptotics.IsEquivalent.tendsto_const
| Mathlib/Analysis/Asymptotics/AsymptoticEquivalent.lean | 157 | 164 | theorem IsEquivalent.tendsto_nhds {c : β} (huv : u ~[l] v) (hu : Tendsto u l (𝓝 c)) :
Tendsto v l (𝓝 c) := by |
by_cases h : c = 0
· subst c
rw [← isLittleO_one_iff ℝ] at hu ⊢
simpa using (huv.symm.isLittleO.trans hu).add hu
· rw [← isEquivalent_const_iff_tendsto h] at hu ⊢
exact huv.symm.trans hu
| 0.0625 |
import Mathlib.Algebra.BigOperators.Associated
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Data.Nat.Choose.Sum
import Mathlib.Data.Nat.Choose.Dvd
import Mathlib.Data.Nat.Prime
#align_import number_theory.primorial from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
open Finset
open Nat
open Nat
def primorial (n : ℕ) : ℕ :=
∏ p ∈ filter Nat.Prime (range (n + 1)), p
#align primorial primorial
local notation x "#" => primorial x
theorem primorial_pos (n : ℕ) : 0 < n# :=
prod_pos fun _p hp ↦ (mem_filter.1 hp).2.pos
#align primorial_pos primorial_pos
theorem primorial_succ {n : ℕ} (hn1 : n ≠ 1) (hn : Odd n) : (n + 1)# = n# := by
refine prod_congr ?_ fun _ _ ↦ rfl
rw [range_succ, filter_insert, if_neg fun h ↦ odd_iff_not_even.mp hn _]
exact fun h ↦ h.even_sub_one <| mt succ.inj hn1
#align primorial_succ primorial_succ
| Mathlib/NumberTheory/Primorial.lean | 51 | 55 | theorem primorial_add (m n : ℕ) :
(m + n)# = m# * ∏ p ∈ filter Nat.Prime (Ico (m + 1) (m + n + 1)), p := by |
rw [primorial, primorial, ← Ico_zero_eq_range, ← prod_union, ← filter_union, Ico_union_Ico_eq_Ico]
exacts [Nat.zero_le _, add_le_add_right (Nat.le_add_right _ _) _,
disjoint_filter_filter <| Ico_disjoint_Ico_consecutive _ _ _]
| 0.0625 |
import Mathlib.Analysis.Convex.Between
import Mathlib.Analysis.Normed.Group.AddTorsor
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic
import Mathlib.Analysis.NormedSpace.AffineIsometry
#align_import geometry.euclidean.angle.unoriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open Real RealInnerProductSpace
namespace EuclideanGeometry
open InnerProductGeometry
variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P] {p p₀ p₁ p₂ : P}
nonrec def angle (p1 p2 p3 : P) : ℝ :=
angle (p1 -ᵥ p2 : V) (p3 -ᵥ p2)
#align euclidean_geometry.angle EuclideanGeometry.angle
@[inherit_doc] scoped notation "∠" => EuclideanGeometry.angle
theorem continuousAt_angle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) :
ContinuousAt (fun y : P × P × P => ∠ y.1 y.2.1 y.2.2) x := by
let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1)
have hf1 : (f x).1 ≠ 0 := by simp [hx12]
have hf2 : (f x).2 ≠ 0 := by simp [hx32]
exact (InnerProductGeometry.continuousAt_angle hf1 hf2).comp
((continuous_fst.vsub continuous_snd.fst).prod_mk
(continuous_snd.snd.vsub continuous_snd.fst)).continuousAt
#align euclidean_geometry.continuous_at_angle EuclideanGeometry.continuousAt_angle
@[simp]
theorem _root_.AffineIsometry.angle_map {V₂ P₂ : Type*} [NormedAddCommGroup V₂]
[InnerProductSpace ℝ V₂] [MetricSpace P₂] [NormedAddTorsor V₂ P₂]
(f : P →ᵃⁱ[ℝ] P₂) (p₁ p₂ p₃ : P) : ∠ (f p₁) (f p₂) (f p₃) = ∠ p₁ p₂ p₃ := by
simp_rw [angle, ← AffineIsometry.map_vsub, LinearIsometry.angle_map]
#align affine_isometry.angle_map AffineIsometry.angle_map
@[simp, norm_cast]
theorem _root_.AffineSubspace.angle_coe {s : AffineSubspace ℝ P} (p₁ p₂ p₃ : s) :
haveI : Nonempty s := ⟨p₁⟩
∠ (p₁ : P) (p₂ : P) (p₃ : P) = ∠ p₁ p₂ p₃ :=
haveI : Nonempty s := ⟨p₁⟩
s.subtypeₐᵢ.angle_map p₁ p₂ p₃
#align affine_subspace.angle_coe AffineSubspace.angle_coe
@[simp]
theorem angle_const_vadd (v : V) (p₁ p₂ p₃ : P) : ∠ (v +ᵥ p₁) (v +ᵥ p₂) (v +ᵥ p₃) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.constVAdd ℝ P v).toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_const_vadd EuclideanGeometry.angle_const_vadd
@[simp]
theorem angle_vadd_const (v₁ v₂ v₃ : V) (p : P) : ∠ (v₁ +ᵥ p) (v₂ +ᵥ p) (v₃ +ᵥ p) = ∠ v₁ v₂ v₃ :=
(AffineIsometryEquiv.vaddConst ℝ p).toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_vadd_const EuclideanGeometry.angle_vadd_const
@[simp]
theorem angle_const_vsub (p p₁ p₂ p₃ : P) : ∠ (p -ᵥ p₁) (p -ᵥ p₂) (p -ᵥ p₃) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.constVSub ℝ p).toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_const_vsub EuclideanGeometry.angle_const_vsub
@[simp]
theorem angle_vsub_const (p₁ p₂ p₃ p : P) : ∠ (p₁ -ᵥ p) (p₂ -ᵥ p) (p₃ -ᵥ p) = ∠ p₁ p₂ p₃ :=
(AffineIsometryEquiv.vaddConst ℝ p).symm.toAffineIsometry.angle_map _ _ _
#align euclidean_geometry.angle_vsub_const EuclideanGeometry.angle_vsub_const
@[simp]
theorem angle_add_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ + v) (v₂ + v) (v₃ + v) = ∠ v₁ v₂ v₃ :=
angle_vadd_const _ _ _ _
#align euclidean_geometry.angle_add_const EuclideanGeometry.angle_add_const
@[simp]
theorem angle_const_add (v : V) (v₁ v₂ v₃ : V) : ∠ (v + v₁) (v + v₂) (v + v₃) = ∠ v₁ v₂ v₃ :=
angle_const_vadd _ _ _ _
#align euclidean_geometry.angle_const_add EuclideanGeometry.angle_const_add
@[simp]
theorem angle_sub_const (v₁ v₂ v₃ : V) (v : V) : ∠ (v₁ - v) (v₂ - v) (v₃ - v) = ∠ v₁ v₂ v₃ := by
simpa only [vsub_eq_sub] using angle_vsub_const v₁ v₂ v₃ v
#align euclidean_geometry.angle_sub_const EuclideanGeometry.angle_sub_const
@[simp]
| Mathlib/Geometry/Euclidean/Angle/Unoriented/Affine.lean | 119 | 120 | theorem angle_const_sub (v : V) (v₁ v₂ v₃ : V) : ∠ (v - v₁) (v - v₂) (v - v₃) = ∠ v₁ v₂ v₃ := by |
simpa only [vsub_eq_sub] using angle_const_vsub v v₁ v₂ v₃
| 0.0625 |
import Mathlib.Algebra.Field.Basic
import Mathlib.Algebra.Order.Field.Defs
import Mathlib.Data.Tree.Basic
import Mathlib.Logic.Basic
import Mathlib.Tactic.NormNum.Core
import Mathlib.Util.SynthesizeUsing
import Mathlib.Util.Qq
open Lean Parser Tactic Mathlib Meta NormNum Qq
initialize registerTraceClass `CancelDenoms
namespace CancelDenoms
theorem mul_subst {α} [CommRing α] {n1 n2 k e1 e2 t1 t2 : α}
(h1 : n1 * e1 = t1) (h2 : n2 * e2 = t2) (h3 : n1 * n2 = k) : k * (e1 * e2) = t1 * t2 := by
rw [← h3, mul_comm n1, mul_assoc n2, ← mul_assoc n1, h1,
← mul_assoc n2, mul_comm n2, mul_assoc, h2]
#align cancel_factors.mul_subst CancelDenoms.mul_subst
theorem div_subst {α} [Field α] {n1 n2 k e1 e2 t1 : α}
(h1 : n1 * e1 = t1) (h2 : n2 / e2 = 1) (h3 : n1 * n2 = k) : k * (e1 / e2) = t1 := by
rw [← h3, mul_assoc, mul_div_left_comm, h2, ← mul_assoc, h1, mul_comm, one_mul]
#align cancel_factors.div_subst CancelDenoms.div_subst
theorem cancel_factors_eq_div {α} [Field α] {n e e' : α}
(h : n * e = e') (h2 : n ≠ 0) : e = e' / n :=
eq_div_of_mul_eq h2 <| by rwa [mul_comm] at h
#align cancel_factors.cancel_factors_eq_div CancelDenoms.cancel_factors_eq_div
theorem add_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) :
n * (e1 + e2) = t1 + t2 := by simp [left_distrib, *]
#align cancel_factors.add_subst CancelDenoms.add_subst
theorem sub_subst {α} [Ring α] {n e1 e2 t1 t2 : α} (h1 : n * e1 = t1) (h2 : n * e2 = t2) :
n * (e1 - e2) = t1 - t2 := by simp [left_distrib, *, sub_eq_add_neg]
#align cancel_factors.sub_subst CancelDenoms.sub_subst
theorem neg_subst {α} [Ring α] {n e t : α} (h1 : n * e = t) : n * -e = -t := by simp [*]
#align cancel_factors.neg_subst CancelDenoms.neg_subst
theorem pow_subst {α} [CommRing α] {n e1 t1 k l : α} {e2 : ℕ}
(h1 : n * e1 = t1) (h2 : l * n ^ e2 = k) : k * (e1 ^ e2) = l * t1 ^ e2 := by
rw [← h2, ← h1, mul_pow, mul_assoc]
theorem inv_subst {α} [Field α] {n k e : α} (h2 : e ≠ 0) (h3 : n * e = k) :
k * (e ⁻¹) = n := by rw [← div_eq_mul_inv, ← h3, mul_div_cancel_right₀ _ h2]
theorem cancel_factors_lt {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α}
(ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) :
(a < b) = (1 / gcd * (bd * a') < 1 / gcd * (ad * b')) := by
rw [mul_lt_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_lt_mul_left]
· exact mul_pos had hbd
· exact one_div_pos.2 hgcd
#align cancel_factors.cancel_factors_lt CancelDenoms.cancel_factors_lt
theorem cancel_factors_le {α} [LinearOrderedField α] {a b ad bd a' b' gcd : α}
(ha : ad * a = a') (hb : bd * b = b') (had : 0 < ad) (hbd : 0 < bd) (hgcd : 0 < gcd) :
(a ≤ b) = (1 / gcd * (bd * a') ≤ 1 / gcd * (ad * b')) := by
rw [mul_le_mul_left, ← ha, ← hb, ← mul_assoc, ← mul_assoc, mul_comm bd, mul_le_mul_left]
· exact mul_pos had hbd
· exact one_div_pos.2 hgcd
#align cancel_factors.cancel_factors_le CancelDenoms.cancel_factors_le
theorem cancel_factors_eq {α} [Field α] {a b ad bd a' b' gcd : α} (ha : ad * a = a')
(hb : bd * b = b') (had : ad ≠ 0) (hbd : bd ≠ 0) (hgcd : gcd ≠ 0) :
(a = b) = (1 / gcd * (bd * a') = 1 / gcd * (ad * b')) := by
rw [← ha, ← hb, ← mul_assoc bd, ← mul_assoc ad, mul_comm bd]
ext; constructor
· rintro rfl
rfl
· intro h
simp only [← mul_assoc] at h
refine mul_left_cancel₀ (mul_ne_zero ?_ ?_) h
on_goal 1 => apply mul_ne_zero
on_goal 1 => apply div_ne_zero
· exact one_ne_zero
all_goals assumption
#align cancel_factors.cancel_factors_eq CancelDenoms.cancel_factors_eq
| Mathlib/Tactic/CancelDenoms/Core.lean | 105 | 109 | theorem cancel_factors_ne {α} [Field α] {a b ad bd a' b' gcd : α} (ha : ad * a = a')
(hb : bd * b = b') (had : ad ≠ 0) (hbd : bd ≠ 0) (hgcd : gcd ≠ 0) :
(a ≠ b) = (1 / gcd * (bd * a') ≠ 1 / gcd * (ad * b')) := by |
classical
rw [eq_iff_iff, not_iff_not, cancel_factors_eq ha hb had hbd hgcd]
| 0.0625 |
import Mathlib.Algebra.Category.ModuleCat.Abelian
import Mathlib.CategoryTheory.Limits.Shapes.Images
#align_import algebra.category.Module.images from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
open CategoryTheory
open CategoryTheory.Limits
universe u v
namespace ModuleCat
set_option linter.uppercaseLean3 false -- `Module`
variable {R : Type u} [Ring R]
variable {G H : ModuleCat.{v} R} (f : G ⟶ H)
attribute [local ext] Subtype.ext_val
section
-- implementation details of `HasImage` for ModuleCat; use the API, not these
def image : ModuleCat R :=
ModuleCat.of R (LinearMap.range f)
#align Module.image ModuleCat.image
def image.ι : image f ⟶ H :=
f.range.subtype
#align Module.image.ι ModuleCat.image.ι
instance : Mono (image.ι f) :=
ConcreteCategory.mono_of_injective (image.ι f) Subtype.val_injective
def factorThruImage : G ⟶ image f :=
f.rangeRestrict
#align Module.factor_thru_image ModuleCat.factorThruImage
theorem image.fac : factorThruImage f ≫ image.ι f = f :=
rfl
#align Module.image.fac ModuleCat.image.fac
attribute [local simp] image.fac
variable {f}
noncomputable def image.lift (F' : MonoFactorisation f) : image f ⟶ F'.I where
toFun := (fun x => F'.e (Classical.indefiniteDescription _ x.2).1 : image f → F'.I)
map_add' x y := by
apply (mono_iff_injective F'.m).1
· infer_instance
rw [LinearMap.map_add]
change (F'.e ≫ F'.m) _ = (F'.e ≫ F'.m) _ + (F'.e ≫ F'.m) _
simp_rw [F'.fac, (Classical.indefiniteDescription (fun z => f z = _) _).2]
rfl
map_smul' c x := by
apply (mono_iff_injective F'.m).1
· infer_instance
rw [LinearMap.map_smul]
change (F'.e ≫ F'.m) _ = _ • (F'.e ≫ F'.m) _
simp_rw [F'.fac, (Classical.indefiniteDescription (fun z => f z = _) _).2]
rfl
#align Module.image.lift ModuleCat.image.lift
theorem image.lift_fac (F' : MonoFactorisation f) : image.lift F' ≫ F'.m = image.ι f := by
ext x
change (F'.e ≫ F'.m) _ = _
rw [F'.fac, (Classical.indefiniteDescription _ x.2).2]
rfl
#align Module.image.lift_fac ModuleCat.image.lift_fac
end
def monoFactorisation : MonoFactorisation f where
I := image f
m := image.ι f
e := factorThruImage f
#align Module.mono_factorisation ModuleCat.monoFactorisation
noncomputable def isImage : IsImage (monoFactorisation f) where
lift := image.lift
lift_fac := image.lift_fac
#align Module.is_image ModuleCat.isImage
noncomputable def imageIsoRange {G H : ModuleCat.{v} R} (f : G ⟶ H) :
Limits.image f ≅ ModuleCat.of R (LinearMap.range f) :=
IsImage.isoExt (Image.isImage f) (isImage f)
#align Module.image_iso_range ModuleCat.imageIsoRange
@[simp, reassoc, elementwise]
theorem imageIsoRange_inv_image_ι {G H : ModuleCat.{v} R} (f : G ⟶ H) :
(imageIsoRange f).inv ≫ Limits.image.ι f = ModuleCat.ofHom f.range.subtype :=
IsImage.isoExt_inv_m _ _
#align Module.image_iso_range_inv_image_ι ModuleCat.imageIsoRange_inv_image_ι
@[simp, reassoc, elementwise]
| Mathlib/Algebra/Category/ModuleCat/Images.lean | 117 | 119 | theorem imageIsoRange_hom_subtype {G H : ModuleCat.{v} R} (f : G ⟶ H) :
(imageIsoRange f).hom ≫ ModuleCat.ofHom f.range.subtype = Limits.image.ι f := by |
erw [← imageIsoRange_inv_image_ι f, Iso.hom_inv_id_assoc]
| 0.0625 |
import Mathlib.LinearAlgebra.AffineSpace.Independent
import Mathlib.LinearAlgebra.Basis
#align_import linear_algebra.affine_space.basis from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
open Affine
open Set
universe u₁ u₂ u₃ u₄
structure AffineBasis (ι : Type u₁) (k : Type u₂) {V : Type u₃} (P : Type u₄) [AddCommGroup V]
[AffineSpace V P] [Ring k] [Module k V] where
protected toFun : ι → P
protected ind' : AffineIndependent k toFun
protected tot' : affineSpan k (range toFun) = ⊤
#align affine_basis AffineBasis
variable {ι ι' k V P : Type*} [AddCommGroup V] [AffineSpace V P]
namespace AffineBasis
section Ring
variable [Ring k] [Module k V] (b : AffineBasis ι k P) {s : Finset ι} {i j : ι} (e : ι ≃ ι')
instance : Inhabited (AffineBasis PUnit k PUnit) :=
⟨⟨id, affineIndependent_of_subsingleton k id, by simp⟩⟩
instance instFunLike : FunLike (AffineBasis ι k P) ι P where
coe := AffineBasis.toFun
coe_injective' f g h := by cases f; cases g; congr
#align affine_basis.fun_like AffineBasis.instFunLike
@[ext]
theorem ext {b₁ b₂ : AffineBasis ι k P} (h : (b₁ : ι → P) = b₂) : b₁ = b₂ :=
DFunLike.coe_injective h
#align affine_basis.ext AffineBasis.ext
theorem ind : AffineIndependent k b :=
b.ind'
#align affine_basis.ind AffineBasis.ind
theorem tot : affineSpan k (range b) = ⊤ :=
b.tot'
#align affine_basis.tot AffineBasis.tot
protected theorem nonempty : Nonempty ι :=
not_isEmpty_iff.mp fun hι => by
simpa only [@range_eq_empty _ _ hι, AffineSubspace.span_empty, bot_ne_top] using b.tot
#align affine_basis.nonempty AffineBasis.nonempty
def reindex (e : ι ≃ ι') : AffineBasis ι' k P :=
⟨b ∘ e.symm, b.ind.comp_embedding e.symm.toEmbedding, by
rw [e.symm.surjective.range_comp]
exact b.3⟩
#align affine_basis.reindex AffineBasis.reindex
@[simp, norm_cast]
theorem coe_reindex : ⇑(b.reindex e) = b ∘ e.symm :=
rfl
#align affine_basis.coe_reindex AffineBasis.coe_reindex
@[simp]
theorem reindex_apply (i' : ι') : b.reindex e i' = b (e.symm i') :=
rfl
#align affine_basis.reindex_apply AffineBasis.reindex_apply
@[simp]
theorem reindex_refl : b.reindex (Equiv.refl _) = b :=
ext rfl
#align affine_basis.reindex_refl AffineBasis.reindex_refl
noncomputable def basisOf (i : ι) : Basis { j : ι // j ≠ i } k V :=
Basis.mk ((affineIndependent_iff_linearIndependent_vsub k b i).mp b.ind)
(by
suffices
Submodule.span k (range fun j : { x // x ≠ i } => b ↑j -ᵥ b i) = vectorSpan k (range b) by
rw [this, ← direction_affineSpan, b.tot, AffineSubspace.direction_top]
conv_rhs => rw [← image_univ]
rw [vectorSpan_image_eq_span_vsub_set_right_ne k b (mem_univ i)]
congr
ext v
simp)
#align affine_basis.basis_of AffineBasis.basisOf
@[simp]
theorem basisOf_apply (i : ι) (j : { j : ι // j ≠ i }) : b.basisOf i j = b ↑j -ᵥ b i := by
simp [basisOf]
#align affine_basis.basis_of_apply AffineBasis.basisOf_apply
@[simp]
theorem basisOf_reindex (i : ι') :
(b.reindex e).basisOf i =
(b.basisOf <| e.symm i).reindex (e.subtypeEquiv fun _ => e.eq_symm_apply.not) := by
ext j
simp
#align affine_basis.basis_of_reindex AffineBasis.basisOf_reindex
noncomputable def coord (i : ι) : P →ᵃ[k] k where
toFun q := 1 - (b.basisOf i).sumCoords (q -ᵥ b i)
linear := -(b.basisOf i).sumCoords
map_vadd' q v := by
dsimp only
rw [vadd_vsub_assoc, LinearMap.map_add, vadd_eq_add, LinearMap.neg_apply,
sub_add_eq_sub_sub_swap, add_comm, sub_eq_add_neg]
#align affine_basis.coord AffineBasis.coord
@[simp]
theorem linear_eq_sumCoords (i : ι) : (b.coord i).linear = -(b.basisOf i).sumCoords :=
rfl
#align affine_basis.linear_eq_sum_coords AffineBasis.linear_eq_sumCoords
@[simp]
theorem coord_reindex (i : ι') : (b.reindex e).coord i = b.coord (e.symm i) := by
ext
classical simp [AffineBasis.coord]
#align affine_basis.coord_reindex AffineBasis.coord_reindex
@[simp]
| Mathlib/LinearAlgebra/AffineSpace/Basis.lean | 168 | 170 | theorem coord_apply_eq (i : ι) : b.coord i (b i) = 1 := by |
simp only [coord, Basis.coe_sumCoords, LinearEquiv.map_zero, LinearEquiv.coe_coe, sub_zero,
AffineMap.coe_mk, Finsupp.sum_zero_index, vsub_self]
| 0.0625 |
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Algebra.Ring.Pi
import Mathlib.GroupTheory.GroupAction.Pi
#align_import algebra.big_operators.pi from "leanprover-community/mathlib"@"fa2309577c7009ea243cffdf990cd6c84f0ad497"
@[to_additive (attr := simp)]
theorem Finset.prod_apply {α : Type*} {β : α → Type*} {γ} [∀ a, CommMonoid (β a)] (a : α)
(s : Finset γ) (g : γ → ∀ a, β a) : (∏ c ∈ s, g c) a = ∏ c ∈ s, g c a :=
map_prod (Pi.evalMonoidHom β a) _ _
#align finset.prod_apply Finset.prod_apply
#align finset.sum_apply Finset.sum_apply
@[to_additive "An 'unapplied' analogue of `Finset.sum_apply`."]
theorem Finset.prod_fn {α : Type*} {β : α → Type*} {γ} [∀ a, CommMonoid (β a)] (s : Finset γ)
(g : γ → ∀ a, β a) : ∏ c ∈ s, g c = fun a ↦ ∏ c ∈ s, g c a :=
funext fun _ ↦ Finset.prod_apply _ _ _
#align finset.prod_fn Finset.prod_fn
#align finset.sum_fn Finset.sum_fn
@[to_additive]
theorem Fintype.prod_apply {α : Type*} {β : α → Type*} {γ : Type*} [Fintype γ]
[∀ a, CommMonoid (β a)] (a : α) (g : γ → ∀ a, β a) : (∏ c, g c) a = ∏ c, g c a :=
Finset.prod_apply a Finset.univ g
#align fintype.prod_apply Fintype.prod_apply
#align fintype.sum_apply Fintype.sum_apply
@[to_additive prod_mk_sum]
theorem prod_mk_prod {α β γ : Type*} [CommMonoid α] [CommMonoid β] (s : Finset γ) (f : γ → α)
(g : γ → β) : (∏ x ∈ s, f x, ∏ x ∈ s, g x) = ∏ x ∈ s, (f x, g x) :=
haveI := Classical.decEq γ
Finset.induction_on s rfl (by simp (config := { contextual := true }) [Prod.ext_iff])
#align prod_mk_prod prod_mk_prod
#align prod_mk_sum prod_mk_sum
theorem pi_eq_sum_univ {ι : Type*} [Fintype ι] [DecidableEq ι] {R : Type*} [Semiring R]
(x : ι → R) : x = ∑ i, (x i) • fun j => if i = j then (1 : R) else 0 := by
ext
simp
#align pi_eq_sum_univ pi_eq_sum_univ
section MulSingle
variable {I : Type*} [DecidableEq I] {Z : I → Type*}
variable [∀ i, CommMonoid (Z i)]
@[to_additive]
theorem Finset.univ_prod_mulSingle [Fintype I] (f : ∀ i, Z i) :
(∏ i, Pi.mulSingle i (f i)) = f := by
ext a
simp
#align finset.univ_prod_mul_single Finset.univ_prod_mulSingle
#align finset.univ_sum_single Finset.univ_sum_single
@[to_additive]
| Mathlib/Algebra/BigOperators/Pi.lean | 89 | 94 | theorem MonoidHom.functions_ext [Finite I] (G : Type*) [CommMonoid G] (g h : (∀ i, Z i) →* G)
(H : ∀ i x, g (Pi.mulSingle i x) = h (Pi.mulSingle i x)) : g = h := by |
cases nonempty_fintype I
ext k
rw [← Finset.univ_prod_mulSingle k, map_prod, map_prod]
simp only [H]
| 0.0625 |
import Mathlib.Algebra.Polynomial.Smeval
import Mathlib.GroupTheory.GroupAction.Ring
import Mathlib.RingTheory.Polynomial.Pochhammer
section Multichoose
open Function Polynomial
class BinomialRing (R : Type*) [AddCommMonoid R] [Pow R ℕ] where
nsmul_right_injective (n : ℕ) (h : n ≠ 0) : Injective (n • · : R → R)
multichoose : R → ℕ → R
factorial_nsmul_multichoose (r : R) (n : ℕ) :
n.factorial • multichoose r n = (ascPochhammer ℕ n).smeval r
section Pochhammer
namespace Polynomial
theorem ascPochhammer_smeval_cast (R : Type*) [Semiring R] {S : Type*} [NonAssocSemiring S]
[Pow S ℕ] [Module R S] [IsScalarTower R S S] [NatPowAssoc S]
(x : S) (n : ℕ) : (ascPochhammer R n).smeval x = (ascPochhammer ℕ n).smeval x := by
induction' n with n hn
· simp only [Nat.zero_eq, ascPochhammer_zero, smeval_one, one_smul]
· simp only [ascPochhammer_succ_right, mul_add, smeval_add, smeval_mul_X, ← Nat.cast_comm]
simp only [← C_eq_natCast, smeval_C_mul, hn, ← nsmul_eq_smul_cast R n]
exact rfl
variable {R S : Type*}
| Mathlib/RingTheory/Binomial.lean | 101 | 103 | theorem ascPochhammer_smeval_eq_eval [Semiring R] (r : R) (n : ℕ) :
(ascPochhammer ℕ n).smeval r = (ascPochhammer R n).eval r := by |
rw [eval_eq_smeval, ascPochhammer_smeval_cast R]
| 0.0625 |
import Mathlib.Geometry.Manifold.Sheaf.Smooth
import Mathlib.Geometry.RingedSpace.LocallyRingedSpace
noncomputable section
universe u
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜] [CompleteSpace 𝕜]
{EM : Type*} [NormedAddCommGroup EM] [NormedSpace 𝕜 EM]
{HM : Type*} [TopologicalSpace HM] (IM : ModelWithCorners 𝕜 EM HM)
{M : Type u} [TopologicalSpace M] [ChartedSpace HM M]
open AlgebraicGeometry Manifold TopologicalSpace Topology
theorem smoothSheafCommRing.isUnit_stalk_iff {x : M}
(f : (smoothSheafCommRing IM 𝓘(𝕜) M 𝕜).presheaf.stalk x) :
IsUnit f ↔ f ∉ RingHom.ker (smoothSheafCommRing.eval IM 𝓘(𝕜) M 𝕜 x) := by
constructor
· rintro ⟨⟨f, g, hf, hg⟩, rfl⟩ (h' : smoothSheafCommRing.eval IM 𝓘(𝕜) M 𝕜 x f = 0)
simpa [h'] using congr_arg (smoothSheafCommRing.eval IM 𝓘(𝕜) M 𝕜 x) hf
· let S := (smoothSheafCommRing IM 𝓘(𝕜) M 𝕜).presheaf
-- Suppose that `f`, in the stalk at `x`, is nonzero at `x`
rintro (hf : _ ≠ 0)
-- Represent `f` as the germ of some function (also called `f`) on an open neighbourhood `U` of
-- `x`, which is nonzero at `x`
obtain ⟨U : Opens M, hxU, f : C^∞⟮IM, U; 𝓘(𝕜), 𝕜⟯, rfl⟩ := S.germ_exist x f
have hf' : f ⟨x, hxU⟩ ≠ 0 := by
convert hf
exact (smoothSheafCommRing.eval_germ U ⟨x, hxU⟩ f).symm
-- In fact, by continuity, `f` is nonzero on a neighbourhood `V` of `x`
have H : ∀ᶠ (z : U) in 𝓝 ⟨x, hxU⟩, f z ≠ 0 := f.2.continuous.continuousAt.eventually_ne hf'
rw [eventually_nhds_iff] at H
obtain ⟨V₀, hV₀f, hV₀, hxV₀⟩ := H
let V : Opens M := ⟨Subtype.val '' V₀, U.2.isOpenMap_subtype_val V₀ hV₀⟩
have hUV : V ≤ U := Subtype.coe_image_subset (U : Set M) V₀
have hV : V₀ = Set.range (Set.inclusion hUV) := by
convert (Set.range_inclusion hUV).symm
ext y
show _ ↔ y ∈ Subtype.val ⁻¹' (Subtype.val '' V₀)
rw [Set.preimage_image_eq _ Subtype.coe_injective]
clear_value V
subst hV
have hxV : x ∈ (V : Set M) := by
obtain ⟨x₀, hxx₀⟩ := hxV₀
convert x₀.2
exact congr_arg Subtype.val hxx₀.symm
have hVf : ∀ y : V, f (Set.inclusion hUV y) ≠ 0 :=
fun y ↦ hV₀f (Set.inclusion hUV y) (Set.mem_range_self y)
-- Let `g` be the pointwise inverse of `f` on `V`, which is smooth since `f` is nonzero there
let g : C^∞⟮IM, V; 𝓘(𝕜), 𝕜⟯ := ⟨(f ∘ Set.inclusion hUV)⁻¹, ?_⟩
-- The germ of `g` is inverse to the germ of `f`, so `f` is a unit
· refine ⟨⟨S.germ ⟨x, hxV⟩ (SmoothMap.restrictRingHom IM 𝓘(𝕜) 𝕜 hUV f), S.germ ⟨x, hxV⟩ g,
?_, ?_⟩, S.germ_res_apply hUV.hom ⟨x, hxV⟩ f⟩
· rw [← map_mul]
-- Qualified the name to avoid Lean not finding a `OneHomClass` #8386
convert RingHom.map_one _
apply Subtype.ext
ext y
apply mul_inv_cancel
exact hVf y
· rw [← map_mul]
-- Qualified the name to avoid Lean not finding a `OneHomClass` #8386
convert RingHom.map_one _
apply Subtype.ext
ext y
apply inv_mul_cancel
exact hVf y
· intro y
exact ((contDiffAt_inv _ (hVf y)).contMDiffAt).comp y
(f.smooth.comp (smooth_inclusion hUV)).smoothAt
| Mathlib/Geometry/Manifold/Sheaf/LocallyRingedSpace.lean | 102 | 107 | theorem smoothSheafCommRing.nonunits_stalk (x : M) :
nonunits ((smoothSheafCommRing IM 𝓘(𝕜) M 𝕜).presheaf.stalk x)
= RingHom.ker (smoothSheafCommRing.eval IM 𝓘(𝕜) M 𝕜 x) := by |
ext1 f
rw [mem_nonunits_iff, not_iff_comm, Iff.comm]
apply smoothSheafCommRing.isUnit_stalk_iff
| 0.0625 |
import Mathlib.Algebra.Order.Group.Basic
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Ring.Nat
import Mathlib.Data.ZMod.Basic
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.RingTheory.Fintype
import Mathlib.Tactic.IntervalCases
#align_import number_theory.lucas_lehmer from "leanprover-community/mathlib"@"10b4e499f43088dd3bb7b5796184ad5216648ab1"
def mersenne (p : ℕ) : ℕ :=
2 ^ p - 1
#align mersenne mersenne
theorem strictMono_mersenne : StrictMono mersenne := fun m n h ↦
(Nat.sub_lt_sub_iff_right <| Nat.one_le_pow _ _ two_pos).2 <| by gcongr; norm_num1
@[simp]
theorem mersenne_lt_mersenne {p q : ℕ} : mersenne p < mersenne q ↔ p < q :=
strictMono_mersenne.lt_iff_lt
@[gcongr] protected alias ⟨_, GCongr.mersenne_lt_mersenne⟩ := mersenne_lt_mersenne
@[simp]
theorem mersenne_le_mersenne {p q : ℕ} : mersenne p ≤ mersenne q ↔ p ≤ q :=
strictMono_mersenne.le_iff_le
@[gcongr] protected alias ⟨_, GCongr.mersenne_le_mersenne⟩ := mersenne_le_mersenne
@[simp] theorem mersenne_zero : mersenne 0 = 0 := rfl
@[simp] theorem mersenne_pos {p : ℕ} : 0 < mersenne p ↔ 0 < p := mersenne_lt_mersenne (p := 0)
#align mersenne_pos mersenne_pos
@[simp]
theorem one_lt_mersenne {p : ℕ} : 1 < mersenne p ↔ 1 < p :=
mersenne_lt_mersenne (p := 1)
@[simp]
theorem succ_mersenne (k : ℕ) : mersenne k + 1 = 2 ^ k := by
rw [mersenne, tsub_add_cancel_of_le]
exact one_le_pow_of_one_le (by norm_num) k
#align succ_mersenne succ_mersenne
namespace LucasLehmer
open Nat
def s : ℕ → ℤ
| 0 => 4
| i + 1 => s i ^ 2 - 2
#align lucas_lehmer.s LucasLehmer.s
def sZMod (p : ℕ) : ℕ → ZMod (2 ^ p - 1)
| 0 => 4
| i + 1 => sZMod p i ^ 2 - 2
#align lucas_lehmer.s_zmod LucasLehmer.sZMod
def sMod (p : ℕ) : ℕ → ℤ
| 0 => 4 % (2 ^ p - 1)
| i + 1 => (sMod p i ^ 2 - 2) % (2 ^ p - 1)
#align lucas_lehmer.s_mod LucasLehmer.sMod
theorem mersenne_int_pos {p : ℕ} (hp : p ≠ 0) : (0 : ℤ) < 2 ^ p - 1 :=
sub_pos.2 <| mod_cast Nat.one_lt_two_pow hp
theorem mersenne_int_ne_zero (p : ℕ) (hp : p ≠ 0) : (2 ^ p - 1 : ℤ) ≠ 0 :=
(mersenne_int_pos hp).ne'
#align lucas_lehmer.mersenne_int_ne_zero LucasLehmer.mersenne_int_ne_zero
theorem sMod_nonneg (p : ℕ) (hp : p ≠ 0) (i : ℕ) : 0 ≤ sMod p i := by
cases i <;> dsimp [sMod]
· exact sup_eq_right.mp rfl
· apply Int.emod_nonneg
exact mersenne_int_ne_zero p hp
#align lucas_lehmer.s_mod_nonneg LucasLehmer.sMod_nonneg
theorem sMod_mod (p i : ℕ) : sMod p i % (2 ^ p - 1) = sMod p i := by cases i <;> simp [sMod]
#align lucas_lehmer.s_mod_mod LucasLehmer.sMod_mod
theorem sMod_lt (p : ℕ) (hp : p ≠ 0) (i : ℕ) : sMod p i < 2 ^ p - 1 := by
rw [← sMod_mod]
refine (Int.emod_lt _ (mersenne_int_ne_zero p hp)).trans_eq ?_
exact abs_of_nonneg (mersenne_int_pos hp).le
#align lucas_lehmer.s_mod_lt LucasLehmer.sMod_lt
theorem sZMod_eq_s (p' : ℕ) (i : ℕ) : sZMod (p' + 2) i = (s i : ZMod (2 ^ (p' + 2) - 1)) := by
induction' i with i ih
· dsimp [s, sZMod]
norm_num
· push_cast [s, sZMod, ih]; rfl
#align lucas_lehmer.s_zmod_eq_s LucasLehmer.sZMod_eq_s
-- These next two don't make good `norm_cast` lemmas.
| Mathlib/NumberTheory/LucasLehmer.lean | 162 | 164 | theorem Int.natCast_pow_pred (b p : ℕ) (w : 0 < b) : ((b ^ p - 1 : ℕ) : ℤ) = (b : ℤ) ^ p - 1 := by |
have : 1 ≤ b ^ p := Nat.one_le_pow p b w
norm_cast
| 0.0625 |
import Mathlib.Control.Monad.Basic
import Mathlib.Data.Fintype.Basic
import Mathlib.Data.List.ProdSigma
#align_import data.fin_enum from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
universe u v
open Finset
class FinEnum (α : Sort*) where
card : ℕ
equiv : α ≃ Fin card
[decEq : DecidableEq α]
#align fin_enum FinEnum
attribute [instance 100] FinEnum.decEq
namespace FinEnum
variable {α : Type u} {β : α → Type v}
def ofEquiv (α) {β} [FinEnum α] (h : β ≃ α) : FinEnum β where
card := card α
equiv := h.trans (equiv)
decEq := (h.trans (equiv)).decidableEq
#align fin_enum.of_equiv FinEnum.ofEquiv
def ofNodupList [DecidableEq α] (xs : List α) (h : ∀ x : α, x ∈ xs) (h' : List.Nodup xs) :
FinEnum α where
card := xs.length
equiv :=
⟨fun x => ⟨xs.indexOf x, by rw [List.indexOf_lt_length]; apply h⟩, xs.get, fun x => by simp,
fun i => by ext; simp [List.get_indexOf h']⟩
#align fin_enum.of_nodup_list FinEnum.ofNodupList
def ofList [DecidableEq α] (xs : List α) (h : ∀ x : α, x ∈ xs) : FinEnum α :=
ofNodupList xs.dedup (by simp [*]) (List.nodup_dedup _)
#align fin_enum.of_list FinEnum.ofList
def toList (α) [FinEnum α] : List α :=
(List.finRange (card α)).map (equiv).symm
#align fin_enum.to_list FinEnum.toList
open Function
@[simp]
theorem mem_toList [FinEnum α] (x : α) : x ∈ toList α := by
simp [toList]; exists equiv x; simp
#align fin_enum.mem_to_list FinEnum.mem_toList
@[simp]
| Mathlib/Data/FinEnum.lean | 74 | 75 | theorem nodup_toList [FinEnum α] : List.Nodup (toList α) := by |
simp [toList]; apply List.Nodup.map <;> [apply Equiv.injective; apply List.nodup_finRange]
| 0.0625 |
import Mathlib.MeasureTheory.Constructions.Pi
import Mathlib.MeasureTheory.Constructions.Prod.Integral
open Fintype MeasureTheory MeasureTheory.Measure
variable {𝕜 : Type*} [RCLike 𝕜]
namespace MeasureTheory
theorem Integrable.fin_nat_prod {n : ℕ} {E : Fin n → Type*}
[∀ i, MeasureSpace (E i)] [∀ i, SigmaFinite (volume : Measure (E i))]
{f : (i : Fin n) → E i → 𝕜} (hf : ∀ i, Integrable (f i)) :
Integrable (fun (x : (i : Fin n) → E i) ↦ ∏ i, f i (x i)) := by
induction n with
| zero => simp only [Nat.zero_eq, Finset.univ_eq_empty, Finset.prod_empty, volume_pi,
integrable_const_iff, one_ne_zero, pi_empty_univ, ENNReal.one_lt_top, or_true]
| succ n n_ih =>
have := ((measurePreserving_piFinSuccAbove (fun i => (volume : Measure (E i))) 0).symm)
rw [volume_pi, ← this.integrable_comp_emb (MeasurableEquiv.measurableEmbedding _)]
simp_rw [MeasurableEquiv.piFinSuccAbove_symm_apply,
Fin.prod_univ_succ, Fin.insertNth_zero]
simp only [Fin.zero_succAbove, cast_eq, Function.comp_def, Fin.cons_zero, Fin.cons_succ]
have : Integrable (fun (x : (j : Fin n) → E (Fin.succ j)) ↦ ∏ j, f (Fin.succ j) (x j)) :=
n_ih (fun i ↦ hf _)
exact Integrable.prod_mul (hf 0) this
| Mathlib/MeasureTheory/Integral/Pi.lean | 45 | 54 | theorem Integrable.fintype_prod_dep {ι : Type*} [Fintype ι] {E : ι → Type*}
{f : (i : ι) → E i → 𝕜} [∀ i, MeasureSpace (E i)] [∀ i, SigmaFinite (volume : Measure (E i))]
(hf : ∀ i, Integrable (f i)) :
Integrable (fun (x : (i : ι) → E i) ↦ ∏ i, f i (x i)) := by |
let e := (equivFin ι).symm
simp_rw [← (volume_measurePreserving_piCongrLeft _ e).integrable_comp_emb
(MeasurableEquiv.measurableEmbedding _),
← e.prod_comp, MeasurableEquiv.coe_piCongrLeft, Function.comp_def,
Equiv.piCongrLeft_apply_apply]
exact .fin_nat_prod (fun i ↦ hf _)
| 0.0625 |
import Mathlib.FieldTheory.Minpoly.Field
#align_import ring_theory.power_basis from "leanprover-community/mathlib"@"d1d69e99ed34c95266668af4e288fc1c598b9a7f"
open Polynomial
open Polynomial
variable {R S T : Type*} [CommRing R] [Ring S] [Algebra R S]
variable {A B : Type*} [CommRing A] [CommRing B] [IsDomain B] [Algebra A B]
variable {K : Type*} [Field K]
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure PowerBasis (R S : Type*) [CommRing R] [Ring S] [Algebra R S] where
gen : S
dim : ℕ
basis : Basis (Fin dim) R S
basis_eq_pow : ∀ (i), basis i = gen ^ (i : ℕ)
#align power_basis PowerBasis
-- this is usually not needed because of `basis_eq_pow` but can be needed in some cases;
-- in such circumstances, add it manually using `@[simps dim gen basis]`.
initialize_simps_projections PowerBasis (-basis)
namespace PowerBasis
@[simp]
theorem coe_basis (pb : PowerBasis R S) : ⇑pb.basis = fun i : Fin pb.dim => pb.gen ^ (i : ℕ) :=
funext pb.basis_eq_pow
#align power_basis.coe_basis PowerBasis.coe_basis
theorem finite (pb : PowerBasis R S) : Module.Finite R S := .of_basis pb.basis
#align power_basis.finite_dimensional PowerBasis.finite
@[deprecated] alias finiteDimensional := PowerBasis.finite
| Mathlib/RingTheory/PowerBasis.lean | 84 | 86 | theorem finrank [StrongRankCondition R] (pb : PowerBasis R S) :
FiniteDimensional.finrank R S = pb.dim := by |
rw [FiniteDimensional.finrank_eq_card_basis pb.basis, Fintype.card_fin]
| 0.0625 |
import Batteries.Data.UnionFind.Basic
namespace Batteries.UnionFind
@[simp] theorem arr_empty : empty.arr = #[] := rfl
@[simp] theorem parent_empty : empty.parent a = a := rfl
@[simp] theorem rank_empty : empty.rank a = 0 := rfl
@[simp] theorem rootD_empty : empty.rootD a = a := rfl
@[simp] theorem arr_push {m : UnionFind} : m.push.arr = m.arr.push ⟨m.arr.size, 0⟩ := rfl
@[simp] theorem parentD_push {arr : Array UFNode} :
parentD (arr.push ⟨arr.size, 0⟩) a = parentD arr a := by
simp [parentD]; split <;> split <;> try simp [Array.get_push, *]
· next h1 h2 =>
simp [Nat.lt_succ] at h1 h2
exact Nat.le_antisymm h2 h1
· next h1 h2 => cases h1 (Nat.lt_succ_of_lt h2)
@[simp] theorem parent_push {m : UnionFind} : m.push.parent a = m.parent a := by simp [parent]
@[simp] theorem rankD_push {arr : Array UFNode} :
rankD (arr.push ⟨arr.size, 0⟩) a = rankD arr a := by
simp [rankD]; split <;> split <;> try simp [Array.get_push, *]
next h1 h2 => cases h1 (Nat.lt_succ_of_lt h2)
@[simp] theorem rank_push {m : UnionFind} : m.push.rank a = m.rank a := by simp [rank]
@[simp] theorem rankMax_push {m : UnionFind} : m.push.rankMax = m.rankMax := by simp [rankMax]
@[simp] theorem root_push {self : UnionFind} : self.push.rootD x = self.rootD x :=
rootD_ext fun _ => parent_push
@[simp] theorem arr_link : (link self x y yroot).arr = linkAux self.arr x y := rfl
| .lake/packages/batteries/Batteries/Data/UnionFind/Lemmas.lean | 41 | 51 | theorem parentD_linkAux {self} {x y : Fin self.size} :
parentD (linkAux self x y) i =
if x.1 = y then
parentD self i
else
if (self.get y).rank < (self.get x).rank then
if y = i then x else parentD self i
else
if x = i then y else parentD self i := by |
dsimp only [linkAux]; split <;> [rfl; split] <;> [rw [parentD_set]; split] <;> rw [parentD_set]
split <;> [(subst i; rwa [if_neg, parentD_eq]); rw [parentD_set]]
| 0.0625 |
import Mathlib.CategoryTheory.Category.Basic
import Mathlib.CategoryTheory.Functor.Basic
import Mathlib.CategoryTheory.Groupoid
import Mathlib.Tactic.NthRewrite
import Mathlib.CategoryTheory.PathCategory
import Mathlib.CategoryTheory.Quotient
import Mathlib.Combinatorics.Quiver.Symmetric
#align_import category_theory.groupoid.free_groupoid from "leanprover-community/mathlib"@"706d88f2b8fdfeb0b22796433d7a6c1a010af9f2"
open Set Classical Function
attribute [local instance] propDecidable
namespace CategoryTheory
namespace Groupoid
namespace Free
universe u v u' v' u'' v''
variable {V : Type u} [Quiver.{v + 1} V]
abbrev _root_.Quiver.Hom.toPosPath {X Y : V} (f : X ⟶ Y) :
(CategoryTheory.Paths.categoryPaths <| Quiver.Symmetrify V).Hom X Y :=
f.toPos.toPath
#align category_theory.groupoid.free.quiver.hom.to_pos_path Quiver.Hom.toPosPath
abbrev _root_.Quiver.Hom.toNegPath {X Y : V} (f : X ⟶ Y) :
(CategoryTheory.Paths.categoryPaths <| Quiver.Symmetrify V).Hom Y X :=
f.toNeg.toPath
#align category_theory.groupoid.free.quiver.hom.to_neg_path Quiver.Hom.toNegPath
inductive redStep : HomRel (Paths (Quiver.Symmetrify V))
| step (X Z : Quiver.Symmetrify V) (f : X ⟶ Z) :
redStep (𝟙 (Paths.of.obj X)) (f.toPath ≫ (Quiver.reverse f).toPath)
#align category_theory.groupoid.free.red_step CategoryTheory.Groupoid.Free.redStep
def _root_.CategoryTheory.FreeGroupoid (V) [Q : Quiver V] :=
Quotient (@redStep V Q)
#align category_theory.free_groupoid CategoryTheory.FreeGroupoid
instance {V} [Quiver V] [Nonempty V] : Nonempty (FreeGroupoid V) := by
inhabit V; exact ⟨⟨@default V _⟩⟩
theorem congr_reverse {X Y : Paths <| Quiver.Symmetrify V} (p q : X ⟶ Y) :
Quotient.CompClosure redStep p q → Quotient.CompClosure redStep p.reverse q.reverse := by
rintro ⟨XW, pp, qq, WY, _, Z, f⟩
have : Quotient.CompClosure redStep (WY.reverse ≫ 𝟙 _ ≫ XW.reverse)
(WY.reverse ≫ (f.toPath ≫ (Quiver.reverse f).toPath) ≫ XW.reverse) := by
constructor
constructor
simpa only [CategoryStruct.comp, CategoryStruct.id, Quiver.Path.reverse, Quiver.Path.nil_comp,
Quiver.Path.reverse_comp, Quiver.reverse_reverse, Quiver.Path.reverse_toPath,
Quiver.Path.comp_assoc] using this
#align category_theory.groupoid.free.congr_reverse CategoryTheory.Groupoid.Free.congr_reverse
theorem congr_comp_reverse {X Y : Paths <| Quiver.Symmetrify V} (p : X ⟶ Y) :
Quot.mk (@Quotient.CompClosure _ _ redStep _ _) (p ≫ p.reverse) =
Quot.mk (@Quotient.CompClosure _ _ redStep _ _) (𝟙 X) := by
apply Quot.EqvGen_sound
induction' p with a b q f ih
· apply EqvGen.refl
· simp only [Quiver.Path.reverse]
fapply EqvGen.trans
-- Porting note: `Quiver.Path.*` and `Quiver.Hom.*` notation not working
· exact q ≫ Quiver.Path.reverse q
· apply EqvGen.symm
apply EqvGen.rel
have : Quotient.CompClosure redStep (q ≫ 𝟙 _ ≫ Quiver.Path.reverse q)
(q ≫ (Quiver.Hom.toPath f ≫ Quiver.Hom.toPath (Quiver.reverse f)) ≫
Quiver.Path.reverse q) := by
apply Quotient.CompClosure.intro
apply redStep.step
simp only [Category.assoc, Category.id_comp] at this ⊢
-- Porting note: `simp` cannot see how `Quiver.Path.comp_assoc` is relevant, so change to
-- category notation
change Quotient.CompClosure redStep (q ≫ Quiver.Path.reverse q)
(Quiver.Path.cons q f ≫ (Quiver.Hom.toPath (Quiver.reverse f)) ≫ (Quiver.Path.reverse q))
simp only [← Category.assoc] at this ⊢
exact this
· exact ih
#align category_theory.groupoid.free.congr_comp_reverse CategoryTheory.Groupoid.Free.congr_comp_reverse
| Mathlib/CategoryTheory/Groupoid/FreeGroupoid.lean | 120 | 124 | theorem congr_reverse_comp {X Y : Paths <| Quiver.Symmetrify V} (p : X ⟶ Y) :
Quot.mk (@Quotient.CompClosure _ _ redStep _ _) (p.reverse ≫ p) =
Quot.mk (@Quotient.CompClosure _ _ redStep _ _) (𝟙 Y) := by |
nth_rw 2 [← Quiver.Path.reverse_reverse p]
apply congr_comp_reverse
| 0.0625 |
import Mathlib.Algebra.Group.Defs
import Mathlib.Logic.Relation
#align_import algebra.homology.complex_shape from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23"
noncomputable section
open scoped Classical
@[ext]
structure ComplexShape (ι : Type*) where
Rel : ι → ι → Prop
next_eq : ∀ {i j j'}, Rel i j → Rel i j' → j = j'
prev_eq : ∀ {i i' j}, Rel i j → Rel i' j → i = i'
#align complex_shape ComplexShape
#align complex_shape.ext ComplexShape.ext
#align complex_shape.ext_iff ComplexShape.ext_iff
namespace ComplexShape
variable {ι : Type*}
@[simps]
def refl (ι : Type*) : ComplexShape ι where
Rel i j := i = j
next_eq w w' := w.symm.trans w'
prev_eq w w' := w.trans w'.symm
#align complex_shape.refl ComplexShape.refl
#align complex_shape.refl_rel ComplexShape.refl_Rel
@[simps]
def symm (c : ComplexShape ι) : ComplexShape ι where
Rel i j := c.Rel j i
next_eq w w' := c.prev_eq w w'
prev_eq w w' := c.next_eq w w'
#align complex_shape.symm ComplexShape.symm
#align complex_shape.symm_rel ComplexShape.symm_Rel
@[simp]
theorem symm_symm (c : ComplexShape ι) : c.symm.symm = c := by
ext
simp
#align complex_shape.symm_symm ComplexShape.symm_symm
theorem symm_bijective :
Function.Bijective (ComplexShape.symm : ComplexShape ι → ComplexShape ι) :=
Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩
@[simp]
def trans (c₁ c₂ : ComplexShape ι) : ComplexShape ι where
Rel := Relation.Comp c₁.Rel c₂.Rel
next_eq w w' := by
obtain ⟨k, w₁, w₂⟩ := w
obtain ⟨k', w₁', w₂'⟩ := w'
rw [c₁.next_eq w₁ w₁'] at w₂
exact c₂.next_eq w₂ w₂'
prev_eq w w' := by
obtain ⟨k, w₁, w₂⟩ := w
obtain ⟨k', w₁', w₂'⟩ := w'
rw [c₂.prev_eq w₂ w₂'] at w₁
exact c₁.prev_eq w₁ w₁'
#align complex_shape.trans ComplexShape.trans
instance subsingleton_next (c : ComplexShape ι) (i : ι) : Subsingleton { j // c.Rel i j } := by
constructor
rintro ⟨j, rij⟩ ⟨k, rik⟩
congr
exact c.next_eq rij rik
instance subsingleton_prev (c : ComplexShape ι) (j : ι) : Subsingleton { i // c.Rel i j } := by
constructor
rintro ⟨i, rik⟩ ⟨j, rjk⟩
congr
exact c.prev_eq rik rjk
def next (c : ComplexShape ι) (i : ι) : ι :=
if h : ∃ j, c.Rel i j then h.choose else i
#align complex_shape.next ComplexShape.next
def prev (c : ComplexShape ι) (j : ι) : ι :=
if h : ∃ i, c.Rel i j then h.choose else j
#align complex_shape.prev ComplexShape.prev
theorem next_eq' (c : ComplexShape ι) {i j : ι} (h : c.Rel i j) : c.next i = j := by
apply c.next_eq _ h
rw [next]
rw [dif_pos]
exact Exists.choose_spec ⟨j, h⟩
#align complex_shape.next_eq' ComplexShape.next_eq'
| Mathlib/Algebra/Homology/ComplexShape.lean | 161 | 164 | theorem prev_eq' (c : ComplexShape ι) {i j : ι} (h : c.Rel i j) : c.prev j = i := by |
apply c.prev_eq _ h
rw [prev, dif_pos]
exact Exists.choose_spec (⟨i, h⟩ : ∃ k, c.Rel k j)
| 0.0625 |
import Mathlib.Algebra.DirectSum.Internal
import Mathlib.Algebra.GradedMonoid
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Equiv
import Mathlib.Algebra.MvPolynomial.Variables
import Mathlib.RingTheory.MvPolynomial.WeightedHomogeneous
import Mathlib.Algebra.Polynomial.Roots
#align_import ring_theory.mv_polynomial.homogeneous from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
namespace MvPolynomial
variable {σ : Type*} {τ : Type*} {R : Type*} {S : Type*}
def degree (d : σ →₀ ℕ) := ∑ i ∈ d.support, d i
theorem weightedDegree_one (d : σ →₀ ℕ) :
weightedDegree 1 d = degree d := by
simp [weightedDegree, degree, Finsupp.total, Finsupp.sum]
def IsHomogeneous [CommSemiring R] (φ : MvPolynomial σ R) (n : ℕ) :=
IsWeightedHomogeneous 1 φ n
#align mv_polynomial.is_homogeneous MvPolynomial.IsHomogeneous
variable [CommSemiring R]
theorem weightedTotalDegree_one (φ : MvPolynomial σ R) :
weightedTotalDegree (1 : σ → ℕ) φ = φ.totalDegree := by
simp only [totalDegree, weightedTotalDegree, weightedDegree, LinearMap.toAddMonoidHom_coe,
Finsupp.total, Pi.one_apply, Finsupp.coe_lsum, LinearMap.coe_smulRight, LinearMap.id_coe,
id, Algebra.id.smul_eq_mul, mul_one]
variable (σ R)
def homogeneousSubmodule (n : ℕ) : Submodule R (MvPolynomial σ R) where
carrier := { x | x.IsHomogeneous n }
smul_mem' r a ha c hc := by
rw [coeff_smul] at hc
apply ha
intro h
apply hc
rw [h]
exact smul_zero r
zero_mem' d hd := False.elim (hd <| coeff_zero _)
add_mem' {a b} ha hb c hc := by
rw [coeff_add] at hc
obtain h | h : coeff c a ≠ 0 ∨ coeff c b ≠ 0 := by
contrapose! hc
simp only [hc, add_zero]
· exact ha h
· exact hb h
#align mv_polynomial.homogeneous_submodule MvPolynomial.homogeneousSubmodule
@[simp]
lemma weightedHomogeneousSubmodule_one (n : ℕ) :
weightedHomogeneousSubmodule R 1 n = homogeneousSubmodule σ R n := rfl
variable {σ R}
@[simp]
theorem mem_homogeneousSubmodule [CommSemiring R] (n : ℕ) (p : MvPolynomial σ R) :
p ∈ homogeneousSubmodule σ R n ↔ p.IsHomogeneous n := Iff.rfl
#align mv_polynomial.mem_homogeneous_submodule MvPolynomial.mem_homogeneousSubmodule
variable (σ R)
theorem homogeneousSubmodule_eq_finsupp_supported [CommSemiring R] (n : ℕ) :
homogeneousSubmodule σ R n = Finsupp.supported _ R { d | degree d = n } := by
simp_rw [← weightedDegree_one]
exact weightedHomogeneousSubmodule_eq_finsupp_supported R 1 n
#align mv_polynomial.homogeneous_submodule_eq_finsupp_supported MvPolynomial.homogeneousSubmodule_eq_finsupp_supported
variable {σ R}
theorem homogeneousSubmodule_mul [CommSemiring R] (m n : ℕ) :
homogeneousSubmodule σ R m * homogeneousSubmodule σ R n ≤ homogeneousSubmodule σ R (m + n) :=
weightedHomogeneousSubmodule_mul 1 m n
#align mv_polynomial.homogeneous_submodule_mul MvPolynomial.homogeneousSubmodule_mul
section
variable [CommSemiring R]
theorem isHomogeneous_monomial {d : σ →₀ ℕ} (r : R) {n : ℕ} (hn : degree d = n) :
IsHomogeneous (monomial d r) n := by
simp_rw [← weightedDegree_one] at hn
exact isWeightedHomogeneous_monomial 1 d r hn
#align mv_polynomial.is_homogeneous_monomial MvPolynomial.isHomogeneous_monomial
variable (σ)
theorem totalDegree_zero_iff_isHomogeneous {p : MvPolynomial σ R} :
p.totalDegree = 0 ↔ IsHomogeneous p 0 := by
rw [← weightedTotalDegree_one,
← isWeightedHomogeneous_zero_iff_weightedTotalDegree_eq_zero, IsHomogeneous]
alias ⟨isHomogeneous_of_totalDegree_zero, _⟩ := totalDegree_zero_iff_isHomogeneous
#align mv_polynomial.is_homogeneous_of_total_degree_zero MvPolynomial.isHomogeneous_of_totalDegree_zero
theorem isHomogeneous_C (r : R) : IsHomogeneous (C r : MvPolynomial σ R) 0 := by
apply isHomogeneous_monomial
simp only [degree, Finsupp.zero_apply, Finset.sum_const_zero]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.is_homogeneous_C MvPolynomial.isHomogeneous_C
variable (R)
theorem isHomogeneous_zero (n : ℕ) : IsHomogeneous (0 : MvPolynomial σ R) n :=
(homogeneousSubmodule σ R n).zero_mem
#align mv_polynomial.is_homogeneous_zero MvPolynomial.isHomogeneous_zero
theorem isHomogeneous_one : IsHomogeneous (1 : MvPolynomial σ R) 0 :=
isHomogeneous_C _ _
#align mv_polynomial.is_homogeneous_one MvPolynomial.isHomogeneous_one
variable {σ}
theorem isHomogeneous_X (i : σ) : IsHomogeneous (X i : MvPolynomial σ R) 1 := by
apply isHomogeneous_monomial
rw [degree, Finsupp.support_single_ne_zero _ one_ne_zero, Finset.sum_singleton]
exact Finsupp.single_eq_same
set_option linter.uppercaseLean3 false in
#align mv_polynomial.is_homogeneous_X MvPolynomial.isHomogeneous_X
end
namespace IsHomogeneous
variable [CommSemiring R] [CommSemiring S] {φ ψ : MvPolynomial σ R} {m n : ℕ}
| Mathlib/RingTheory/MvPolynomial/Homogeneous.lean | 163 | 166 | theorem coeff_eq_zero (hφ : IsHomogeneous φ n) {d : σ →₀ ℕ} (hd : degree d ≠ n) :
coeff d φ = 0 := by |
simp_rw [← weightedDegree_one] at hd
exact IsWeightedHomogeneous.coeff_eq_zero hφ d hd
| 0.0625 |
import Mathlib.Algebra.Lie.OfAssociative
import Mathlib.Algebra.Lie.IdealOperations
#align_import algebra.lie.abelian from "leanprover-community/mathlib"@"8983bec7cdf6cb2dd1f21315c8a34ab00d7b2f6d"
universe u v w w₁ w₂
class LieModule.IsTrivial (L : Type v) (M : Type w) [Bracket L M] [Zero M] : Prop where
trivial : ∀ (x : L) (m : M), ⁅x, m⁆ = 0
#align lie_module.is_trivial LieModule.IsTrivial
@[simp]
theorem trivial_lie_zero (L : Type v) (M : Type w) [Bracket L M] [Zero M] [LieModule.IsTrivial L M]
(x : L) (m : M) : ⁅x, m⁆ = 0 :=
LieModule.IsTrivial.trivial x m
#align trivial_lie_zero trivial_lie_zero
instance LieModule.instIsTrivialOfSubsingleton {L M : Type*}
[LieRing L] [AddCommGroup M] [LieRingModule L M] [Subsingleton L] : LieModule.IsTrivial L M :=
⟨fun x m ↦ by rw [Subsingleton.eq_zero x, zero_lie]⟩
instance LieModule.instIsTrivialOfSubsingleton' {L M : Type*}
[LieRing L] [AddCommGroup M] [LieRingModule L M] [Subsingleton M] : LieModule.IsTrivial L M :=
⟨fun x m ↦ by simp_rw [Subsingleton.eq_zero m, lie_zero]⟩
abbrev IsLieAbelian (L : Type v) [Bracket L L] [Zero L] : Prop :=
LieModule.IsTrivial L L
#align is_lie_abelian IsLieAbelian
instance LieIdeal.isLieAbelian_of_trivial (R : Type u) (L : Type v) [CommRing R] [LieRing L]
[LieAlgebra R L] (I : LieIdeal R L) [h : LieModule.IsTrivial L I] : IsLieAbelian I where
trivial x y := by apply h.trivial
#align lie_ideal.is_lie_abelian_of_trivial LieIdeal.isLieAbelian_of_trivial
theorem Function.Injective.isLieAbelian {R : Type u} {L₁ : Type v} {L₂ : Type w} [CommRing R]
[LieRing L₁] [LieRing L₂] [LieAlgebra R L₁] [LieAlgebra R L₂] {f : L₁ →ₗ⁅R⁆ L₂}
(h₁ : Function.Injective f) (_ : IsLieAbelian L₂) : IsLieAbelian L₁ :=
{ trivial := fun x y => h₁ <|
calc
f ⁅x, y⁆ = ⁅f x, f y⁆ := LieHom.map_lie f x y
_ = 0 := trivial_lie_zero _ _ _ _
_ = f 0 := f.map_zero.symm}
#align function.injective.is_lie_abelian Function.Injective.isLieAbelian
theorem Function.Surjective.isLieAbelian {R : Type u} {L₁ : Type v} {L₂ : Type w} [CommRing R]
[LieRing L₁] [LieRing L₂] [LieAlgebra R L₁] [LieAlgebra R L₂] {f : L₁ →ₗ⁅R⁆ L₂}
(h₁ : Function.Surjective f) (h₂ : IsLieAbelian L₁) : IsLieAbelian L₂ :=
{ trivial := fun x y => by
obtain ⟨u, rfl⟩ := h₁ x
obtain ⟨v, rfl⟩ := h₁ y
rw [← LieHom.map_lie, trivial_lie_zero, LieHom.map_zero] }
#align function.surjective.is_lie_abelian Function.Surjective.isLieAbelian
theorem lie_abelian_iff_equiv_lie_abelian {R : Type u} {L₁ : Type v} {L₂ : Type w} [CommRing R]
[LieRing L₁] [LieRing L₂] [LieAlgebra R L₁] [LieAlgebra R L₂] (e : L₁ ≃ₗ⁅R⁆ L₂) :
IsLieAbelian L₁ ↔ IsLieAbelian L₂ :=
⟨e.symm.injective.isLieAbelian, e.injective.isLieAbelian⟩
#align lie_abelian_iff_equiv_lie_abelian lie_abelian_iff_equiv_lie_abelian
theorem commutative_ring_iff_abelian_lie_ring {A : Type v} [Ring A] :
Std.Commutative (α := A) (· * ·) ↔ IsLieAbelian A := by
have h₁ : Std.Commutative (α := A) (· * ·) ↔ ∀ a b : A, a * b = b * a :=
⟨fun h => h.1, fun h => ⟨h⟩⟩
have h₂ : IsLieAbelian A ↔ ∀ a b : A, ⁅a, b⁆ = 0 := ⟨fun h => h.1, fun h => ⟨h⟩⟩
simp only [h₁, h₂, LieRing.of_associative_ring_bracket, sub_eq_zero]
#align commutative_ring_iff_abelian_lie_ring commutative_ring_iff_abelian_lie_ring
section Center
variable (R : Type u) (L : Type v) (M : Type w) (N : Type w₁)
variable [CommRing R] [LieRing L] [LieAlgebra R L]
variable [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
variable [AddCommGroup N] [Module R N] [LieRingModule L N] [LieModule R L N]
section IdealOperations
open LieSubmodule LieSubalgebra
variable {R : Type u} {L : Type v} {M : Type w}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [AddCommGroup M] [Module R M]
variable [LieRingModule L M] [LieModule R L M]
variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L)
@[simp]
| Mathlib/Algebra/Lie/Abelian.lean | 312 | 315 | theorem LieSubmodule.trivial_lie_oper_zero [LieModule.IsTrivial L M] : ⁅I, N⁆ = ⊥ := by |
suffices ⁅I, N⁆ ≤ ⊥ from le_bot_iff.mp this
rw [lieIdeal_oper_eq_span, LieSubmodule.lieSpan_le]
rintro m ⟨x, n, h⟩; rw [trivial_lie_zero] at h; simp [← h]
| 0.0625 |
import Mathlib.MeasureTheory.Integral.Bochner
import Mathlib.MeasureTheory.Group.Measure
#align_import measure_theory.group.integration from "leanprover-community/mathlib"@"ec247d43814751ffceb33b758e8820df2372bf6f"
namespace MeasureTheory
open Measure TopologicalSpace
open scoped ENNReal
variable {𝕜 M α G E F : Type*} [MeasurableSpace G]
variable [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] [NormedAddCommGroup F]
variable {μ : Measure G} {f : G → E} {g : G}
section MeasurableMul
variable [Group G] [MeasurableMul G]
@[to_additive
"Translating a function by left-addition does not change its integral with respect to a
left-invariant measure."] -- Porting note: was `@[simp]`
| Mathlib/MeasureTheory/Group/Integral.lean | 58 | 61 | theorem integral_mul_left_eq_self [IsMulLeftInvariant μ] (f : G → E) (g : G) :
(∫ x, f (g * x) ∂μ) = ∫ x, f x ∂μ := by |
have h_mul : MeasurableEmbedding fun x => g * x := (MeasurableEquiv.mulLeft g).measurableEmbedding
rw [← h_mul.integral_map, map_mul_left_eq_self]
| 0.0625 |
import Mathlib.Algebra.Polynomial.Coeff
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.RingTheory.PowerSeries.Basic
#align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60"
noncomputable section
open Polynomial
open Finset (antidiagonal mem_antidiagonal)
namespace PowerSeries
open Finsupp (single)
variable {R : Type*}
section Trunc
variable [Semiring R]
open Finset Nat
def trunc (n : ℕ) (φ : R⟦X⟧) : R[X] :=
∑ m ∈ Ico 0 n, Polynomial.monomial m (coeff R m φ)
#align power_series.trunc PowerSeries.trunc
theorem coeff_trunc (m) (n) (φ : R⟦X⟧) :
(trunc n φ).coeff m = if m < n then coeff R m φ else 0 := by
simp [trunc, Polynomial.coeff_sum, Polynomial.coeff_monomial, Nat.lt_succ_iff]
#align power_series.coeff_trunc PowerSeries.coeff_trunc
@[simp]
theorem trunc_zero (n) : trunc n (0 : R⟦X⟧) = 0 :=
Polynomial.ext fun m => by
rw [coeff_trunc, LinearMap.map_zero, Polynomial.coeff_zero]
split_ifs <;> rfl
#align power_series.trunc_zero PowerSeries.trunc_zero
@[simp]
theorem trunc_one (n) : trunc (n + 1) (1 : R⟦X⟧) = 1 :=
Polynomial.ext fun m => by
rw [coeff_trunc, coeff_one, Polynomial.coeff_one]
split_ifs with h _ h'
· rfl
· rfl
· subst h'; simp at h
· rfl
#align power_series.trunc_one PowerSeries.trunc_one
@[simp]
theorem trunc_C (n) (a : R) : trunc (n + 1) (C R a) = Polynomial.C a :=
Polynomial.ext fun m => by
rw [coeff_trunc, coeff_C, Polynomial.coeff_C]
split_ifs with H <;> first |rfl|try simp_all
set_option linter.uppercaseLean3 false in
#align power_series.trunc_C PowerSeries.trunc_C
@[simp]
theorem trunc_add (n) (φ ψ : R⟦X⟧) : trunc n (φ + ψ) = trunc n φ + trunc n ψ :=
Polynomial.ext fun m => by
simp only [coeff_trunc, AddMonoidHom.map_add, Polynomial.coeff_add]
split_ifs with H
· rfl
· rw [zero_add]
#align power_series.trunc_add PowerSeries.trunc_add
| Mathlib/RingTheory/PowerSeries/Trunc.lean | 84 | 86 | theorem trunc_succ (f : R⟦X⟧) (n : ℕ) :
trunc n.succ f = trunc n f + Polynomial.monomial n (coeff R n f) := by |
rw [trunc, Ico_zero_eq_range, sum_range_succ, trunc, Ico_zero_eq_range]
| 0.0625 |
import Mathlib.Topology.UniformSpace.CompleteSeparated
import Mathlib.Topology.EMetricSpace.Lipschitz
import Mathlib.Topology.MetricSpace.Basic
import Mathlib.Topology.MetricSpace.Bounded
#align_import topology.metric_space.antilipschitz from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328"
variable {α β γ : Type*}
open scoped NNReal ENNReal Uniformity Topology
open Set Filter Bornology
def AntilipschitzWith [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0) (f : α → β) :=
∀ x y, edist x y ≤ K * edist (f x) (f y)
#align antilipschitz_with AntilipschitzWith
theorem AntilipschitzWith.edist_lt_top [PseudoEMetricSpace α] [PseudoMetricSpace β] {K : ℝ≥0}
{f : α → β} (h : AntilipschitzWith K f) (x y : α) : edist x y < ⊤ :=
(h x y).trans_lt <| ENNReal.mul_lt_top ENNReal.coe_ne_top (edist_ne_top _ _)
#align antilipschitz_with.edist_lt_top AntilipschitzWith.edist_lt_top
theorem AntilipschitzWith.edist_ne_top [PseudoEMetricSpace α] [PseudoMetricSpace β] {K : ℝ≥0}
{f : α → β} (h : AntilipschitzWith K f) (x y : α) : edist x y ≠ ⊤ :=
(h.edist_lt_top x y).ne
#align antilipschitz_with.edist_ne_top AntilipschitzWith.edist_ne_top
section Metric
variable [PseudoMetricSpace α] [PseudoMetricSpace β] {K : ℝ≥0} {f : α → β}
theorem antilipschitzWith_iff_le_mul_nndist :
AntilipschitzWith K f ↔ ∀ x y, nndist x y ≤ K * nndist (f x) (f y) := by
simp only [AntilipschitzWith, edist_nndist]
norm_cast
#align antilipschitz_with_iff_le_mul_nndist antilipschitzWith_iff_le_mul_nndist
alias ⟨AntilipschitzWith.le_mul_nndist, AntilipschitzWith.of_le_mul_nndist⟩ :=
antilipschitzWith_iff_le_mul_nndist
#align antilipschitz_with.le_mul_nndist AntilipschitzWith.le_mul_nndist
#align antilipschitz_with.of_le_mul_nndist AntilipschitzWith.of_le_mul_nndist
| Mathlib/Topology/MetricSpace/Antilipschitz.lean | 64 | 67 | theorem antilipschitzWith_iff_le_mul_dist :
AntilipschitzWith K f ↔ ∀ x y, dist x y ≤ K * dist (f x) (f y) := by |
simp only [antilipschitzWith_iff_le_mul_nndist, dist_nndist]
norm_cast
| 0.0625 |
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Dynamics.FixedPoints.Basic
open Finset Function
section AddCommMonoid
variable {α M : Type*} [AddCommMonoid M]
def birkhoffSum (f : α → α) (g : α → M) (n : ℕ) (x : α) : M := ∑ k ∈ range n, g (f^[k] x)
theorem birkhoffSum_zero (f : α → α) (g : α → M) (x : α) : birkhoffSum f g 0 x = 0 :=
sum_range_zero _
@[simp]
theorem birkhoffSum_zero' (f : α → α) (g : α → M) : birkhoffSum f g 0 = 0 :=
funext <| birkhoffSum_zero _ _
theorem birkhoffSum_one (f : α → α) (g : α → M) (x : α) : birkhoffSum f g 1 x = g x :=
sum_range_one _
@[simp]
theorem birkhoffSum_one' (f : α → α) (g : α → M) : birkhoffSum f g 1 = g :=
funext <| birkhoffSum_one f g
theorem birkhoffSum_succ (f : α → α) (g : α → M) (n : ℕ) (x : α) :
birkhoffSum f g (n + 1) x = birkhoffSum f g n x + g (f^[n] x) :=
sum_range_succ _ _
theorem birkhoffSum_succ' (f : α → α) (g : α → M) (n : ℕ) (x : α) :
birkhoffSum f g (n + 1) x = g x + birkhoffSum f g n (f x) :=
(sum_range_succ' _ _).trans (add_comm _ _)
theorem birkhoffSum_add (f : α → α) (g : α → M) (m n : ℕ) (x : α) :
birkhoffSum f g (m + n) x = birkhoffSum f g m x + birkhoffSum f g n (f^[m] x) := by
simp_rw [birkhoffSum, sum_range_add, add_comm m, iterate_add_apply]
| Mathlib/Dynamics/BirkhoffSum/Basic.lean | 55 | 57 | theorem Function.IsFixedPt.birkhoffSum_eq {f : α → α} {x : α} (h : IsFixedPt f x) (g : α → M)
(n : ℕ) : birkhoffSum f g n x = n • g x := by |
simp [birkhoffSum, (h.iterate _).eq]
| 0.0625 |
import Mathlib.Algebra.Algebra.Pi
import Mathlib.Algebra.Polynomial.Eval
import Mathlib.RingTheory.Adjoin.Basic
#align_import data.polynomial.algebra_map from "leanprover-community/mathlib"@"e064a7bf82ad94c3c17b5128bbd860d1ec34874e"
noncomputable section
open Finset
open Polynomial
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {A : Type z} {A' B : Type*} {a b : R} {n : ℕ}
section CommSemiring
variable [CommSemiring R] [Semiring A] [Semiring B] [Algebra R A] [Algebra R B]
variable {p q r : R[X]}
instance algebraOfAlgebra : Algebra R A[X] where
smul_def' r p :=
toFinsupp_injective <| by
dsimp only [RingHom.toFun_eq_coe, RingHom.comp_apply]
rw [toFinsupp_smul, toFinsupp_mul, toFinsupp_C]
exact Algebra.smul_def' _ _
commutes' r p :=
toFinsupp_injective <| by
dsimp only [RingHom.toFun_eq_coe, RingHom.comp_apply]
simp_rw [toFinsupp_mul, toFinsupp_C]
convert Algebra.commutes' r p.toFinsupp
toRingHom := C.comp (algebraMap R A)
#align polynomial.algebra_of_algebra Polynomial.algebraOfAlgebra
@[simp]
theorem algebraMap_apply (r : R) : algebraMap R A[X] r = C (algebraMap R A r) :=
rfl
#align polynomial.algebra_map_apply Polynomial.algebraMap_apply
@[simp]
theorem toFinsupp_algebraMap (r : R) : (algebraMap R A[X] r).toFinsupp = algebraMap R _ r :=
show toFinsupp (C (algebraMap _ _ r)) = _ by
rw [toFinsupp_C]
rfl
#align polynomial.to_finsupp_algebra_map Polynomial.toFinsupp_algebraMap
theorem ofFinsupp_algebraMap (r : R) : (⟨algebraMap R _ r⟩ : A[X]) = algebraMap R A[X] r :=
toFinsupp_injective (toFinsupp_algebraMap _).symm
#align polynomial.of_finsupp_algebra_map Polynomial.ofFinsupp_algebraMap
theorem C_eq_algebraMap (r : R) : C r = algebraMap R R[X] r :=
rfl
set_option linter.uppercaseLean3 false in
#align polynomial.C_eq_algebra_map Polynomial.C_eq_algebraMap
@[simp]
theorem algebraMap_eq : algebraMap R R[X] = C :=
rfl
@[simps! apply]
def CAlgHom : A →ₐ[R] A[X] where
toRingHom := C
commutes' _ := rfl
@[ext 1100]
theorem algHom_ext' {f g : A[X] →ₐ[R] B}
(hC : f.comp CAlgHom = g.comp CAlgHom)
(hX : f X = g X) : f = g :=
AlgHom.coe_ringHom_injective (ringHom_ext' (congr_arg AlgHom.toRingHom hC) hX)
#align polynomial.alg_hom_ext' Polynomial.algHom_ext'
variable (R)
open AddMonoidAlgebra in
@[simps!]
def toFinsuppIsoAlg : R[X] ≃ₐ[R] R[ℕ] :=
{ toFinsuppIso R with
commutes' := fun r => by
dsimp }
#align polynomial.to_finsupp_iso_alg Polynomial.toFinsuppIsoAlg
variable {R}
instance subalgebraNontrivial [Nontrivial A] : Nontrivial (Subalgebra R A[X]) :=
⟨⟨⊥, ⊤, by
rw [Ne, SetLike.ext_iff, not_forall]
refine ⟨X, ?_⟩
simp only [Algebra.mem_bot, not_exists, Set.mem_range, iff_true_iff, Algebra.mem_top,
algebraMap_apply, not_forall]
intro x
rw [ext_iff, not_forall]
refine ⟨1, ?_⟩
simp [coeff_C]⟩⟩
@[simp]
theorem algHom_eval₂_algebraMap {R A B : Type*} [CommSemiring R] [Semiring A] [Semiring B]
[Algebra R A] [Algebra R B] (p : R[X]) (f : A →ₐ[R] B) (a : A) :
f (eval₂ (algebraMap R A) a p) = eval₂ (algebraMap R B) (f a) p := by
simp only [eval₂_eq_sum, sum_def]
simp only [f.map_sum, f.map_mul, f.map_pow, eq_intCast, map_intCast, AlgHom.commutes]
#align polynomial.alg_hom_eval₂_algebra_map Polynomial.algHom_eval₂_algebraMap
@[simp]
| Mathlib/Algebra/Polynomial/AlgebraMap.lean | 131 | 136 | theorem eval₂_algebraMap_X {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (p : R[X])
(f : R[X] →ₐ[R] A) : eval₂ (algebraMap R A) (f X) p = f p := by |
conv_rhs => rw [← Polynomial.sum_C_mul_X_pow_eq p]
simp only [eval₂_eq_sum, sum_def]
simp only [f.map_sum, f.map_mul, f.map_pow, eq_intCast, map_intCast]
simp [Polynomial.C_eq_algebraMap]
| 0.0625 |
import Mathlib.Algebra.MvPolynomial.Degrees
#align_import data.mv_polynomial.variables from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
universe u v w
variable {R : Type u} {S : Type v}
namespace MvPolynomial
variable {σ τ : Type*} {r : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section CommSemiring
variable [CommSemiring R] {p q : MvPolynomial σ R}
section Vars
def vars (p : MvPolynomial σ R) : Finset σ :=
letI := Classical.decEq σ
p.degrees.toFinset
#align mv_polynomial.vars MvPolynomial.vars
theorem vars_def [DecidableEq σ] (p : MvPolynomial σ R) : p.vars = p.degrees.toFinset := by
rw [vars]
convert rfl
#align mv_polynomial.vars_def MvPolynomial.vars_def
@[simp]
theorem vars_0 : (0 : MvPolynomial σ R).vars = ∅ := by
classical rw [vars_def, degrees_zero, Multiset.toFinset_zero]
#align mv_polynomial.vars_0 MvPolynomial.vars_0
@[simp]
theorem vars_monomial (h : r ≠ 0) : (monomial s r).vars = s.support := by
classical rw [vars_def, degrees_monomial_eq _ _ h, Finsupp.toFinset_toMultiset]
#align mv_polynomial.vars_monomial MvPolynomial.vars_monomial
@[simp]
theorem vars_C : (C r : MvPolynomial σ R).vars = ∅ := by
classical rw [vars_def, degrees_C, Multiset.toFinset_zero]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.vars_C MvPolynomial.vars_C
@[simp]
theorem vars_X [Nontrivial R] : (X n : MvPolynomial σ R).vars = {n} := by
rw [X, vars_monomial (one_ne_zero' R), Finsupp.support_single_ne_zero _ (one_ne_zero' ℕ)]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.vars_X MvPolynomial.vars_X
theorem mem_vars (i : σ) : i ∈ p.vars ↔ ∃ d ∈ p.support, i ∈ d.support := by
classical simp only [vars_def, Multiset.mem_toFinset, mem_degrees, mem_support_iff, exists_prop]
#align mv_polynomial.mem_vars MvPolynomial.mem_vars
theorem mem_support_not_mem_vars_zero {f : MvPolynomial σ R} {x : σ →₀ ℕ} (H : x ∈ f.support)
{v : σ} (h : v ∉ vars f) : x v = 0 := by
contrapose! h
exact (mem_vars v).mpr ⟨x, H, Finsupp.mem_support_iff.mpr h⟩
#align mv_polynomial.mem_support_not_mem_vars_zero MvPolynomial.mem_support_not_mem_vars_zero
theorem vars_add_subset [DecidableEq σ] (p q : MvPolynomial σ R) :
(p + q).vars ⊆ p.vars ∪ q.vars := by
intro x hx
simp only [vars_def, Finset.mem_union, Multiset.mem_toFinset] at hx ⊢
simpa using Multiset.mem_of_le (degrees_add _ _) hx
#align mv_polynomial.vars_add_subset MvPolynomial.vars_add_subset
theorem vars_add_of_disjoint [DecidableEq σ] (h : Disjoint p.vars q.vars) :
(p + q).vars = p.vars ∪ q.vars := by
refine (vars_add_subset p q).antisymm fun x hx => ?_
simp only [vars_def, Multiset.disjoint_toFinset] at h hx ⊢
rwa [degrees_add_of_disjoint h, Multiset.toFinset_union]
#align mv_polynomial.vars_add_of_disjoint MvPolynomial.vars_add_of_disjoint
section Mul
theorem vars_mul [DecidableEq σ] (φ ψ : MvPolynomial σ R) : (φ * ψ).vars ⊆ φ.vars ∪ ψ.vars := by
simp_rw [vars_def, ← Multiset.toFinset_add, Multiset.toFinset_subset]
exact Multiset.subset_of_le (degrees_mul φ ψ)
#align mv_polynomial.vars_mul MvPolynomial.vars_mul
@[simp]
theorem vars_one : (1 : MvPolynomial σ R).vars = ∅ :=
vars_C
#align mv_polynomial.vars_one MvPolynomial.vars_one
theorem vars_pow (φ : MvPolynomial σ R) (n : ℕ) : (φ ^ n).vars ⊆ φ.vars := by
classical
induction' n with n ih
· simp
· rw [pow_succ']
apply Finset.Subset.trans (vars_mul _ _)
exact Finset.union_subset (Finset.Subset.refl _) ih
#align mv_polynomial.vars_pow MvPolynomial.vars_pow
| Mathlib/Algebra/MvPolynomial/Variables.lean | 146 | 154 | theorem vars_prod {ι : Type*} [DecidableEq σ] {s : Finset ι} (f : ι → MvPolynomial σ R) :
(∏ i ∈ s, f i).vars ⊆ s.biUnion fun i => (f i).vars := by |
classical
induction s using Finset.induction_on with
| empty => simp
| insert hs hsub =>
simp only [hs, Finset.biUnion_insert, Finset.prod_insert, not_false_iff]
apply Finset.Subset.trans (vars_mul _ _)
exact Finset.union_subset_union (Finset.Subset.refl _) hsub
| 0.0625 |
import Mathlib.Algebra.Group.Center
import Mathlib.Data.Int.Cast.Lemmas
#align_import group_theory.subsemigroup.center from "leanprover-community/mathlib"@"1ac8d4304efba9d03fa720d06516fac845aa5353"
variable {M : Type*}
namespace Set
variable (M)
@[simp]
theorem natCast_mem_center [NonAssocSemiring M] (n : ℕ) : (n : M) ∈ Set.center M where
comm _:= by rw [Nat.commute_cast]
left_assoc _ _ := by
induction n with
| zero => rw [Nat.cast_zero, zero_mul, zero_mul, zero_mul]
| succ n ihn => rw [Nat.cast_succ, add_mul, one_mul, ihn, add_mul, add_mul, one_mul]
mid_assoc _ _ := by
induction n with
| zero => rw [Nat.cast_zero, zero_mul, mul_zero, zero_mul]
| succ n ihn => rw [Nat.cast_succ, add_mul, mul_add, add_mul, ihn, mul_add, one_mul, mul_one]
right_assoc _ _ := by
induction n with
| zero => rw [Nat.cast_zero, mul_zero, mul_zero, mul_zero]
| succ n ihn => rw [Nat.cast_succ, mul_add, ihn, mul_add, mul_add, mul_one, mul_one]
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem ofNat_mem_center [NonAssocSemiring M] (n : ℕ) [n.AtLeastTwo] :
(no_index (OfNat.ofNat n)) ∈ Set.center M :=
natCast_mem_center M n
@[simp]
theorem intCast_mem_center [NonAssocRing M] (n : ℤ) : (n : M) ∈ Set.center M where
comm _ := by rw [Int.commute_cast]
left_assoc _ _ := match n with
| (n : ℕ) => by rw [Int.cast_natCast, (natCast_mem_center _ n).left_assoc _ _]
| Int.negSucc n => by
rw [Int.cast_negSucc, Nat.cast_add, Nat.cast_one, neg_add_rev, add_mul, add_mul, add_mul,
neg_mul, one_mul, neg_mul 1, one_mul, ← neg_mul, add_right_inj, neg_mul,
(natCast_mem_center _ n).left_assoc _ _, neg_mul, neg_mul]
mid_assoc _ _ := match n with
| (n : ℕ) => by rw [Int.cast_natCast, (natCast_mem_center _ n).mid_assoc _ _]
| Int.negSucc n => by
simp only [Int.cast_negSucc, Nat.cast_add, Nat.cast_one, neg_add_rev]
rw [add_mul, mul_add, add_mul, mul_add, neg_mul, one_mul]
rw [neg_mul, mul_neg, mul_one, mul_neg, neg_mul, neg_mul]
rw [(natCast_mem_center _ n).mid_assoc _ _]
simp only [mul_neg]
right_assoc _ _ := match n with
| (n : ℕ) => by rw [Int.cast_natCast, (natCast_mem_center _ n).right_assoc _ _]
| Int.negSucc n => by
simp only [Int.cast_negSucc, Nat.cast_add, Nat.cast_one, neg_add_rev]
rw [mul_add, mul_add, mul_add, mul_neg, mul_one, mul_neg, mul_neg, mul_one, mul_neg,
add_right_inj, (natCast_mem_center _ n).right_assoc _ _, mul_neg, mul_neg]
variable {M}
@[simp]
| Mathlib/Algebra/Ring/Center.lean | 72 | 77 | theorem add_mem_center [Distrib M] {a b : M} (ha : a ∈ Set.center M) (hb : b ∈ Set.center M) :
a + b ∈ Set.center M where
comm _ := by | rw [add_mul, mul_add, ha.comm, hb.comm]
left_assoc _ _ := by rw [add_mul, ha.left_assoc, hb.left_assoc, ← add_mul, ← add_mul]
mid_assoc _ _ := by rw [mul_add, add_mul, ha.mid_assoc, hb.mid_assoc, ← mul_add, ← add_mul]
right_assoc _ _ := by rw [mul_add, ha.right_assoc, hb.right_assoc, ← mul_add, ← mul_add]
| 0.0625 |
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Data.Fintype.Basic
import Mathlib.Data.Int.GCD
import Mathlib.RingTheory.Coprime.Basic
#align_import ring_theory.coprime.lemmas from "leanprover-community/mathlib"@"509de852e1de55e1efa8eacfa11df0823f26f226"
universe u v
section RelPrime
variable {α I} [CommMonoid α] [DecompositionMonoid α] {x y z : α} {s : I → α} {t : Finset I}
theorem IsRelPrime.prod_left : (∀ i ∈ t, IsRelPrime (s i) x) → IsRelPrime (∏ i ∈ t, s i) x := by
classical
refine Finset.induction_on t (fun _ ↦ isRelPrime_one_left) fun b t hbt ih H ↦ ?_
rw [Finset.prod_insert hbt]
rw [Finset.forall_mem_insert] at H
exact H.1.mul_left (ih H.2)
theorem IsRelPrime.prod_right : (∀ i ∈ t, IsRelPrime x (s i)) → IsRelPrime x (∏ i ∈ t, s i) := by
simpa only [isRelPrime_comm] using IsRelPrime.prod_left (α := α)
theorem IsRelPrime.prod_left_iff : IsRelPrime (∏ i ∈ t, s i) x ↔ ∀ i ∈ t, IsRelPrime (s i) x := by
classical
refine Finset.induction_on t (iff_of_true isRelPrime_one_left fun _ ↦ by simp) fun b t hbt ih ↦ ?_
rw [Finset.prod_insert hbt, IsRelPrime.mul_left_iff, ih, Finset.forall_mem_insert]
theorem IsRelPrime.prod_right_iff : IsRelPrime x (∏ i ∈ t, s i) ↔ ∀ i ∈ t, IsRelPrime x (s i) := by
simpa only [isRelPrime_comm] using IsRelPrime.prod_left_iff (α := α)
theorem IsRelPrime.of_prod_left (H1 : IsRelPrime (∏ i ∈ t, s i) x) (i : I) (hit : i ∈ t) :
IsRelPrime (s i) x :=
IsRelPrime.prod_left_iff.1 H1 i hit
theorem IsRelPrime.of_prod_right (H1 : IsRelPrime x (∏ i ∈ t, s i)) (i : I) (hit : i ∈ t) :
IsRelPrime x (s i) :=
IsRelPrime.prod_right_iff.1 H1 i hit
theorem Finset.prod_dvd_of_isRelPrime :
(t : Set I).Pairwise (IsRelPrime on s) → (∀ i ∈ t, s i ∣ z) → (∏ x ∈ t, s x) ∣ z := by
classical
exact Finset.induction_on t (fun _ _ ↦ one_dvd z)
(by
intro a r har ih Hs Hs1
rw [Finset.prod_insert har]
have aux1 : a ∈ (↑(insert a r) : Set I) := Finset.mem_insert_self a r
refine
(IsRelPrime.prod_right fun i hir ↦
Hs aux1 (Finset.mem_insert_of_mem hir) <| by
rintro rfl
exact har hir).mul_dvd
(Hs1 a aux1) (ih (Hs.mono ?_) fun i hi ↦ Hs1 i <| Finset.mem_insert_of_mem hi)
simp only [Finset.coe_insert, Set.subset_insert])
theorem Fintype.prod_dvd_of_isRelPrime [Fintype I] (Hs : Pairwise (IsRelPrime on s))
(Hs1 : ∀ i, s i ∣ z) : (∏ x, s x) ∣ z :=
Finset.prod_dvd_of_isRelPrime (Hs.set_pairwise _) fun i _ ↦ Hs1 i
| Mathlib/RingTheory/Coprime/Lemmas.lean | 281 | 289 | theorem pairwise_isRelPrime_iff_isRelPrime_prod [DecidableEq I] :
Pairwise (IsRelPrime on fun i : t ↦ s i) ↔ ∀ i ∈ t, IsRelPrime (s i) (∏ j ∈ t \ {i}, s j) := by |
refine ⟨fun hp i hi ↦ IsRelPrime.prod_right_iff.mpr fun j hj ↦ ?_, fun hp ↦ ?_⟩
· rw [Finset.mem_sdiff, Finset.mem_singleton] at hj
obtain ⟨hj, ji⟩ := hj
exact @hp ⟨i, hi⟩ ⟨j, hj⟩ fun h ↦ ji (congrArg Subtype.val h).symm
· rintro ⟨i, hi⟩ ⟨j, hj⟩ h
apply IsRelPrime.prod_right_iff.mp (hp i hi)
exact Finset.mem_sdiff.mpr ⟨hj, fun f ↦ h <| Subtype.ext (Finset.mem_singleton.mp f).symm⟩
| 0.0625 |
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