Context stringlengths 285 6.98k | file_name stringlengths 21 79 | start int64 14 184 | end int64 18 184 | theorem stringlengths 25 1.34k | proof stringlengths 5 3.43k |
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/-
Copyright (c) 2020 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.RingTheory.Nilpotent.Basic
import Mathlib.RingTheory.UniqueFactorizationDomain
#align_import algebra.squarefree from "leanprover-community/mathlib"@"00d163e35035c3577c1c79fa53b68de17781ffc1"
/-!
# Squarefree elements of monoids
An element of a monoid is squarefree when it is not divisible by any squares
except the squares of units.
Results about squarefree natural numbers are proved in `Data.Nat.Squarefree`.
## Main Definitions
- `Squarefree r` indicates that `r` is only divisible by `x * x` if `x` is a unit.
## Main Results
- `multiplicity.squarefree_iff_multiplicity_le_one`: `x` is `Squarefree` iff for every `y`, either
`multiplicity y x ≤ 1` or `IsUnit y`.
- `UniqueFactorizationMonoid.squarefree_iff_nodup_factors`: A nonzero element `x` of a unique
factorization monoid is squarefree iff `factors x` has no duplicate factors.
## Tags
squarefree, multiplicity
-/
variable {R : Type*}
/-- An element of a monoid is squarefree if the only squares that
divide it are the squares of units. -/
def Squarefree [Monoid R] (r : R) : Prop :=
∀ x : R, x * x ∣ r → IsUnit x
#align squarefree Squarefree
theorem IsRelPrime.of_squarefree_mul [CommMonoid R] {m n : R} (h : Squarefree (m * n)) :
IsRelPrime m n := fun c hca hcb ↦ h c (mul_dvd_mul hca hcb)
@[simp]
theorem IsUnit.squarefree [CommMonoid R] {x : R} (h : IsUnit x) : Squarefree x := fun _ hdvd =>
isUnit_of_mul_isUnit_left (isUnit_of_dvd_unit hdvd h)
#align is_unit.squarefree IsUnit.squarefree
-- @[simp] -- Porting note (#10618): simp can prove this
theorem squarefree_one [CommMonoid R] : Squarefree (1 : R) :=
isUnit_one.squarefree
#align squarefree_one squarefree_one
@[simp]
theorem not_squarefree_zero [MonoidWithZero R] [Nontrivial R] : ¬Squarefree (0 : R) := by
erw [not_forall]
exact ⟨0, by simp⟩
#align not_squarefree_zero not_squarefree_zero
| Mathlib/Algebra/Squarefree/Basic.lean | 60 | 63 | theorem Squarefree.ne_zero [MonoidWithZero R] [Nontrivial R] {m : R} (hm : Squarefree (m : R)) :
m ≠ 0 := by |
rintro rfl
exact not_squarefree_zero hm
|
/-
Copyright (c) 2022 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Data.Set.Image
import Mathlib.Data.Set.Lattice
#align_import data.set.sigma from "leanprover-community/mathlib"@"2258b40dacd2942571c8ce136215350c702dc78f"
/-!
# Sets in sigma types
This file defines `Set.sigma`, the indexed sum of sets.
-/
namespace Set
variable {ι ι' : Type*} {α β : ι → Type*} {s s₁ s₂ : Set ι} {t t₁ t₂ : ∀ i, Set (α i)}
{u : Set (Σ i, α i)} {x : Σ i, α i} {i j : ι} {a : α i}
@[simp]
theorem range_sigmaMk (i : ι) : range (Sigma.mk i : α i → Sigma α) = Sigma.fst ⁻¹' {i} := by
apply Subset.antisymm
· rintro _ ⟨b, rfl⟩
simp
· rintro ⟨x, y⟩ (rfl | _)
exact mem_range_self y
#align set.range_sigma_mk Set.range_sigmaMk
| Mathlib/Data/Set/Sigma.lean | 31 | 34 | theorem preimage_image_sigmaMk_of_ne (h : i ≠ j) (s : Set (α j)) :
Sigma.mk i ⁻¹' (Sigma.mk j '' s) = ∅ := by |
ext x
simp [h.symm]
|
/-
Copyright (c) 2019 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Sébastien Gouëzel, Yury Kudryashov
-/
import Mathlib.Analysis.Calculus.FDeriv.Basic
#align_import analysis.calculus.fderiv.comp from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
/-!
# The derivative of a composition (chain rule)
For detailed documentation of the Fréchet derivative,
see the module docstring of `Analysis/Calculus/FDeriv/Basic.lean`.
This file contains the usual formulas (and existence assertions) for the derivative of
composition of functions (the chain rule).
-/
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Filter Asymptotics ENNReal
noncomputable section
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G']
variable {f f₀ f₁ g : E → F}
variable {f' f₀' f₁' g' : E →L[𝕜] F}
variable (e : E →L[𝕜] F)
variable {x : E}
variable {s t : Set E}
variable {L L₁ L₂ : Filter E}
section Composition
/-!
### Derivative of the composition of two functions
For composition lemmas, we put `x` explicit to help the elaborator, as otherwise Lean tends to
get confused since there are too many possibilities for composition. -/
variable (x)
| Mathlib/Analysis/Calculus/FDeriv/Comp.lean | 53 | 59 | theorem HasFDerivAtFilter.comp {g : F → G} {g' : F →L[𝕜] G} {L' : Filter F}
(hg : HasFDerivAtFilter g g' (f x) L') (hf : HasFDerivAtFilter f f' x L) (hL : Tendsto f L L') :
HasFDerivAtFilter (g ∘ f) (g'.comp f') x L := by |
let eq₁ := (g'.isBigO_comp _ _).trans_isLittleO hf.isLittleO
let eq₂ := (hg.isLittleO.comp_tendsto hL).trans_isBigO hf.isBigO_sub
refine .of_isLittleO <| eq₂.triangle <| eq₁.congr_left fun x' => ?_
simp
|
/-
Copyright (c) 2023 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Data.Finset.Lattice
#align_import order.irreducible from "leanprover-community/mathlib"@"bf2428c9486c407ca38b5b3fb10b87dad0bc99fa"
/-!
# Irreducible and prime elements in an order
This file defines irreducible and prime elements in an order and shows that in a well-founded
lattice every element decomposes as a supremum of irreducible elements.
An element is sup-irreducible (resp. inf-irreducible) if it isn't `⊥` and can't be written as the
supremum of any strictly smaller elements. An element is sup-prime (resp. inf-prime) if it isn't `⊥`
and is greater than the supremum of any two elements less than it.
Primality implies irreducibility in general. The converse only holds in distributive lattices.
Both hold for all (non-minimal) elements in a linear order.
## Main declarations
* `SupIrred a`: Sup-irreducibility, `a` isn't minimal and `a = b ⊔ c → a = b ∨ a = c`
* `InfIrred a`: Inf-irreducibility, `a` isn't maximal and `a = b ⊓ c → a = b ∨ a = c`
* `SupPrime a`: Sup-primality, `a` isn't minimal and `a ≤ b ⊔ c → a ≤ b ∨ a ≤ c`
* `InfIrred a`: Inf-primality, `a` isn't maximal and `a ≥ b ⊓ c → a ≥ b ∨ a ≥ c`
* `exists_supIrred_decomposition`/`exists_infIrred_decomposition`: Decomposition into irreducibles
in a well-founded semilattice.
-/
open Finset OrderDual
variable {ι α : Type*}
/-! ### Irreducible and prime elements -/
section SemilatticeSup
variable [SemilatticeSup α] {a b c : α}
/-- A sup-irreducible element is a non-bottom element which isn't the supremum of anything smaller.
-/
def SupIrred (a : α) : Prop :=
¬IsMin a ∧ ∀ ⦃b c⦄, b ⊔ c = a → b = a ∨ c = a
#align sup_irred SupIrred
/-- A sup-prime element is a non-bottom element which isn't less than the supremum of anything
smaller. -/
def SupPrime (a : α) : Prop :=
¬IsMin a ∧ ∀ ⦃b c⦄, a ≤ b ⊔ c → a ≤ b ∨ a ≤ c
#align sup_prime SupPrime
theorem SupIrred.not_isMin (ha : SupIrred a) : ¬IsMin a :=
ha.1
#align sup_irred.not_is_min SupIrred.not_isMin
theorem SupPrime.not_isMin (ha : SupPrime a) : ¬IsMin a :=
ha.1
#align sup_prime.not_is_min SupPrime.not_isMin
theorem IsMin.not_supIrred (ha : IsMin a) : ¬SupIrred a := fun h => h.1 ha
#align is_min.not_sup_irred IsMin.not_supIrred
theorem IsMin.not_supPrime (ha : IsMin a) : ¬SupPrime a := fun h => h.1 ha
#align is_min.not_sup_prime IsMin.not_supPrime
@[simp]
theorem not_supIrred : ¬SupIrred a ↔ IsMin a ∨ ∃ b c, b ⊔ c = a ∧ b < a ∧ c < a := by
rw [SupIrred, not_and_or]
push_neg
rw [exists₂_congr]
simp (config := { contextual := true }) [@eq_comm _ _ a]
#align not_sup_irred not_supIrred
@[simp]
theorem not_supPrime : ¬SupPrime a ↔ IsMin a ∨ ∃ b c, a ≤ b ⊔ c ∧ ¬a ≤ b ∧ ¬a ≤ c := by
rw [SupPrime, not_and_or]; push_neg; rfl
#align not_sup_prime not_supPrime
protected theorem SupPrime.supIrred : SupPrime a → SupIrred a :=
And.imp_right fun h b c ha => by simpa [← ha] using h ha.ge
#align sup_prime.sup_irred SupPrime.supIrred
theorem SupPrime.le_sup (ha : SupPrime a) : a ≤ b ⊔ c ↔ a ≤ b ∨ a ≤ c :=
⟨fun h => ha.2 h, fun h => h.elim le_sup_of_le_left le_sup_of_le_right⟩
#align sup_prime.le_sup SupPrime.le_sup
variable [OrderBot α] {s : Finset ι} {f : ι → α}
@[simp]
theorem not_supIrred_bot : ¬SupIrred (⊥ : α) :=
isMin_bot.not_supIrred
#align not_sup_irred_bot not_supIrred_bot
@[simp]
theorem not_supPrime_bot : ¬SupPrime (⊥ : α) :=
isMin_bot.not_supPrime
#align not_sup_prime_bot not_supPrime_bot
theorem SupIrred.ne_bot (ha : SupIrred a) : a ≠ ⊥ := by rintro rfl; exact not_supIrred_bot ha
#align sup_irred.ne_bot SupIrred.ne_bot
theorem SupPrime.ne_bot (ha : SupPrime a) : a ≠ ⊥ := by rintro rfl; exact not_supPrime_bot ha
#align sup_prime.ne_bot SupPrime.ne_bot
theorem SupIrred.finset_sup_eq (ha : SupIrred a) (h : s.sup f = a) : ∃ i ∈ s, f i = a := by
classical
induction' s using Finset.induction with i s _ ih
· simpa [ha.ne_bot] using h.symm
simp only [exists_prop, exists_mem_insert] at ih ⊢
rw [sup_insert] at h
exact (ha.2 h).imp_right ih
#align sup_irred.finset_sup_eq SupIrred.finset_sup_eq
| Mathlib/Order/Irreducible.lean | 119 | 123 | theorem SupPrime.le_finset_sup (ha : SupPrime a) : a ≤ s.sup f ↔ ∃ i ∈ s, a ≤ f i := by |
classical
induction' s using Finset.induction with i s _ ih
· simp [ha.ne_bot]
· simp only [exists_prop, exists_mem_insert, sup_insert, ha.le_sup, ih]
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Johannes Hölzl, Scott Morrison, Jens Wagemaker, Johan Commelin
-/
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Algebra.Polynomial.Div
#align_import data.polynomial.ring_division from "leanprover-community/mathlib"@"8efcf8022aac8e01df8d302dcebdbc25d6a886c8"
/-!
# Theory of univariate polynomials
We prove basic results about univariate polynomials.
-/
noncomputable section
open Polynomial
open Finset
namespace Polynomial
universe u v w z
variable {R : Type u} {S : Type v} {T : Type w} {a b : R} {n : ℕ}
section CommRing
variable [CommRing R] {p q : R[X]}
section
variable [Semiring S]
theorem natDegree_pos_of_aeval_root [Algebra R S] {p : R[X]} (hp : p ≠ 0) {z : S}
(hz : aeval z p = 0) (inj : ∀ x : R, algebraMap R S x = 0 → x = 0) : 0 < p.natDegree :=
natDegree_pos_of_eval₂_root hp (algebraMap R S) hz inj
#align polynomial.nat_degree_pos_of_aeval_root Polynomial.natDegree_pos_of_aeval_root
theorem degree_pos_of_aeval_root [Algebra R S] {p : R[X]} (hp : p ≠ 0) {z : S} (hz : aeval z p = 0)
(inj : ∀ x : R, algebraMap R S x = 0 → x = 0) : 0 < p.degree :=
natDegree_pos_iff_degree_pos.mp (natDegree_pos_of_aeval_root hp hz inj)
#align polynomial.degree_pos_of_aeval_root Polynomial.degree_pos_of_aeval_root
theorem modByMonic_eq_of_dvd_sub (hq : q.Monic) {p₁ p₂ : R[X]} (h : q ∣ p₁ - p₂) :
p₁ %ₘ q = p₂ %ₘ q := by
nontriviality R
obtain ⟨f, sub_eq⟩ := h
refine (div_modByMonic_unique (p₂ /ₘ q + f) _ hq ⟨?_, degree_modByMonic_lt _ hq⟩).2
rw [sub_eq_iff_eq_add.mp sub_eq, mul_add, ← add_assoc, modByMonic_add_div _ hq, add_comm]
#align polynomial.mod_by_monic_eq_of_dvd_sub Polynomial.modByMonic_eq_of_dvd_sub
| Mathlib/Algebra/Polynomial/RingDivision.lean | 58 | 69 | theorem add_modByMonic (p₁ p₂ : R[X]) : (p₁ + p₂) %ₘ q = p₁ %ₘ q + p₂ %ₘ q := by |
by_cases hq : q.Monic
· cases' subsingleton_or_nontrivial R with hR hR
· simp only [eq_iff_true_of_subsingleton]
· exact
(div_modByMonic_unique (p₁ /ₘ q + p₂ /ₘ q) _ hq
⟨by
rw [mul_add, add_left_comm, add_assoc, modByMonic_add_div _ hq, ← add_assoc,
add_comm (q * _), modByMonic_add_div _ hq],
(degree_add_le _ _).trans_lt
(max_lt (degree_modByMonic_lt _ hq) (degree_modByMonic_lt _ hq))⟩).2
· simp_rw [modByMonic_eq_of_not_monic _ hq]
|
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import Mathlib.Data.Sign
import Mathlib.Topology.Order.Basic
#align_import topology.instances.sign from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
/-!
# Topology on `SignType`
This file gives `SignType` the discrete topology, and proves continuity results for `SignType.sign`
in an `OrderTopology`.
-/
instance : TopologicalSpace SignType :=
⊥
instance : DiscreteTopology SignType :=
⟨rfl⟩
variable {α : Type*} [Zero α] [TopologicalSpace α]
section PartialOrder
variable [PartialOrder α] [DecidableRel ((· < ·) : α → α → Prop)] [OrderTopology α]
theorem continuousAt_sign_of_pos {a : α} (h : 0 < a) : ContinuousAt SignType.sign a := by
refine (continuousAt_const : ContinuousAt (fun _ => (1 : SignType)) a).congr ?_
rw [Filter.EventuallyEq, eventually_nhds_iff]
exact ⟨{ x | 0 < x }, fun x hx => (sign_pos hx).symm, isOpen_lt' 0, h⟩
#align continuous_at_sign_of_pos continuousAt_sign_of_pos
theorem continuousAt_sign_of_neg {a : α} (h : a < 0) : ContinuousAt SignType.sign a := by
refine (continuousAt_const : ContinuousAt (fun x => (-1 : SignType)) a).congr ?_
rw [Filter.EventuallyEq, eventually_nhds_iff]
exact ⟨{ x | x < 0 }, fun x hx => (sign_neg hx).symm, isOpen_gt' 0, h⟩
#align continuous_at_sign_of_neg continuousAt_sign_of_neg
end PartialOrder
section LinearOrder
variable [LinearOrder α] [OrderTopology α]
| Mathlib/Topology/Instances/Sign.lean | 50 | 53 | theorem continuousAt_sign_of_ne_zero {a : α} (h : a ≠ 0) : ContinuousAt SignType.sign a := by |
rcases h.lt_or_lt with (h_neg | h_pos)
· exact continuousAt_sign_of_neg h_neg
· exact continuousAt_sign_of_pos h_pos
|
/-
Copyright (c) 2022 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.ModelTheory.Quotients
import Mathlib.Order.Filter.Germ
import Mathlib.Order.Filter.Ultrafilter
#align_import model_theory.ultraproducts from "leanprover-community/mathlib"@"f1ae620609496a37534c2ab3640b641d5be8b6f0"
/-! # Ultraproducts and Łoś's Theorem
## Main Definitions
* `FirstOrder.Language.Ultraproduct.Structure` is the ultraproduct structure on `Filter.Product`.
## Main Results
* Łoś's Theorem: `FirstOrder.Language.Ultraproduct.sentence_realize`. An ultraproduct models a
sentence `φ` if and only if the set of structures in the product that model `φ` is in the
ultrafilter.
## Tags
ultraproduct, Los's theorem
-/
universe u v
variable {α : Type*} (M : α → Type*) (u : Ultrafilter α)
open FirstOrder Filter
open Filter
namespace FirstOrder
namespace Language
open Structure
variable {L : Language.{u, v}} [∀ a, L.Structure (M a)]
namespace Ultraproduct
instance setoidPrestructure : L.Prestructure ((u : Filter α).productSetoid M) :=
{ (u : Filter α).productSetoid M with
toStructure :=
{ funMap := fun {n} f x a => funMap f fun i => x i a
RelMap := fun {n} r x => ∀ᶠ a : α in u, RelMap r fun i => x i a }
fun_equiv := fun {n} f x y xy => by
refine mem_of_superset (iInter_mem.2 xy) fun a ha => ?_
simp only [Set.mem_iInter, Set.mem_setOf_eq] at ha
simp only [Set.mem_setOf_eq, ha]
rel_equiv := fun {n} r x y xy => by
rw [← iff_eq_eq]
refine ⟨fun hx => ?_, fun hy => ?_⟩
· refine mem_of_superset (inter_mem hx (iInter_mem.2 xy)) ?_
rintro a ⟨ha1, ha2⟩
simp only [Set.mem_iInter, Set.mem_setOf_eq] at *
rw [← funext ha2]
exact ha1
· refine mem_of_superset (inter_mem hy (iInter_mem.2 xy)) ?_
rintro a ⟨ha1, ha2⟩
simp only [Set.mem_iInter, Set.mem_setOf_eq] at *
rw [funext ha2]
exact ha1 }
#align first_order.language.ultraproduct.setoid_prestructure FirstOrder.Language.Ultraproduct.setoidPrestructure
variable {M} {u}
instance «structure» : L.Structure ((u : Filter α).Product M) :=
Language.quotientStructure
set_option linter.uppercaseLean3 false in
#align first_order.language.ultraproduct.Structure FirstOrder.Language.Ultraproduct.structure
| Mathlib/ModelTheory/Ultraproducts.lean | 77 | 80 | theorem funMap_cast {n : ℕ} (f : L.Functions n) (x : Fin n → ∀ a, M a) :
(funMap f fun i => (x i : (u : Filter α).Product M)) =
(fun a => funMap f fun i => x i a : (u : Filter α).Product M) := by |
apply funMap_quotient_mk'
|
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import Mathlib.Geometry.Euclidean.Sphere.Basic
#align_import geometry.euclidean.sphere.second_inter from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
/-!
# Second intersection of a sphere and a line
This file defines and proves basic results about the second intersection of a sphere with a line
through a point on that sphere.
## Main definitions
* `EuclideanGeometry.Sphere.secondInter` is the second intersection of a sphere with a line
through a point on that sphere.
-/
noncomputable section
open RealInnerProductSpace
namespace EuclideanGeometry
variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P]
/-- The second intersection of a sphere with a line through a point on that sphere; that point
if it is the only point of intersection of the line with the sphere. The intended use of this
definition is when `p ∈ s`; the definition does not use `s.radius`, so in general it returns
the second intersection with the sphere through `p` and with center `s.center`. -/
def Sphere.secondInter (s : Sphere P) (p : P) (v : V) : P :=
(-2 * ⟪v, p -ᵥ s.center⟫ / ⟪v, v⟫) • v +ᵥ p
#align euclidean_geometry.sphere.second_inter EuclideanGeometry.Sphere.secondInter
/-- The distance between `secondInter` and the center equals the distance between the original
point and the center. -/
@[simp]
theorem Sphere.secondInter_dist (s : Sphere P) (p : P) (v : V) :
dist (s.secondInter p v) s.center = dist p s.center := by
rw [Sphere.secondInter]
by_cases hv : v = 0; · simp [hv]
rw [dist_smul_vadd_eq_dist _ _ hv]
exact Or.inr rfl
#align euclidean_geometry.sphere.second_inter_dist EuclideanGeometry.Sphere.secondInter_dist
/-- The point given by `secondInter` lies on the sphere. -/
@[simp]
theorem Sphere.secondInter_mem {s : Sphere P} {p : P} (v : V) : s.secondInter p v ∈ s ↔ p ∈ s := by
simp_rw [mem_sphere, Sphere.secondInter_dist]
#align euclidean_geometry.sphere.second_inter_mem EuclideanGeometry.Sphere.secondInter_mem
variable (V)
/-- If the vector is zero, `secondInter` gives the original point. -/
@[simp]
theorem Sphere.secondInter_zero (s : Sphere P) (p : P) : s.secondInter p (0 : V) = p := by
simp [Sphere.secondInter]
#align euclidean_geometry.sphere.second_inter_zero EuclideanGeometry.Sphere.secondInter_zero
variable {V}
/-- The point given by `secondInter` equals the original point if and only if the line is
orthogonal to the radius vector. -/
| Mathlib/Geometry/Euclidean/Sphere/SecondInter.lean | 70 | 78 | theorem Sphere.secondInter_eq_self_iff {s : Sphere P} {p : P} {v : V} :
s.secondInter p v = p ↔ ⟪v, p -ᵥ s.center⟫ = 0 := by |
refine ⟨fun hp => ?_, fun hp => ?_⟩
· by_cases hv : v = 0
· simp [hv]
rwa [Sphere.secondInter, eq_comm, eq_vadd_iff_vsub_eq, vsub_self, eq_comm, smul_eq_zero,
or_iff_left hv, div_eq_zero_iff, inner_self_eq_zero, or_iff_left hv, mul_eq_zero,
or_iff_right (by norm_num : (-2 : ℝ) ≠ 0)] at hp
· rw [Sphere.secondInter, hp, mul_zero, zero_div, zero_smul, zero_vadd]
|
/-
Copyright (c) 2020 Aaron Anderson, Jalex Stark. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson, Jalex Stark
-/
import Mathlib.Algebra.Polynomial.Expand
import Mathlib.Algebra.Polynomial.Laurent
import Mathlib.LinearAlgebra.Matrix.Charpoly.Basic
import Mathlib.LinearAlgebra.Matrix.Reindex
import Mathlib.RingTheory.Polynomial.Nilpotent
#align_import linear_algebra.matrix.charpoly.coeff from "leanprover-community/mathlib"@"9745b093210e9dac443af24da9dba0f9e2b6c912"
/-!
# Characteristic polynomials
We give methods for computing coefficients of the characteristic polynomial.
## Main definitions
- `Matrix.charpoly_degree_eq_dim` proves that the degree of the characteristic polynomial
over a nonzero ring is the dimension of the matrix
- `Matrix.det_eq_sign_charpoly_coeff` proves that the determinant is the constant term of the
characteristic polynomial, up to sign.
- `Matrix.trace_eq_neg_charpoly_coeff` proves that the trace is the negative of the (d-1)th
coefficient of the characteristic polynomial, where d is the dimension of the matrix.
For a nonzero ring, this is the second-highest coefficient.
- `Matrix.charpolyRev` the reverse of the characteristic polynomial.
- `Matrix.reverse_charpoly` characterises the reverse of the characteristic polynomial.
-/
noncomputable section
-- porting note: whenever there was `∏ i : n, X - C (M i i)`, I replaced it with
-- `∏ i : n, (X - C (M i i))`, since otherwise Lean would parse as `(∏ i : n, X) - C (M i i)`
universe u v w z
open Finset Matrix Polynomial
variable {R : Type u} [CommRing R]
variable {n G : Type v} [DecidableEq n] [Fintype n]
variable {α β : Type v} [DecidableEq α]
variable {M : Matrix n n R}
namespace Matrix
theorem charmatrix_apply_natDegree [Nontrivial R] (i j : n) :
(charmatrix M i j).natDegree = ite (i = j) 1 0 := by
by_cases h : i = j <;> simp [h, ← degree_eq_iff_natDegree_eq_of_pos (Nat.succ_pos 0)]
#align charmatrix_apply_nat_degree Matrix.charmatrix_apply_natDegree
| Mathlib/LinearAlgebra/Matrix/Charpoly/Coeff.lean | 54 | 56 | theorem charmatrix_apply_natDegree_le (i j : n) :
(charmatrix M i j).natDegree ≤ ite (i = j) 1 0 := by |
split_ifs with h <;> simp [h, natDegree_X_le]
|
/-
Copyright (c) 2022 Antoine Labelle. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Antoine Labelle
-/
import Mathlib.RepresentationTheory.FdRep
import Mathlib.LinearAlgebra.Trace
import Mathlib.RepresentationTheory.Invariants
#align_import representation_theory.character from "leanprover-community/mathlib"@"55b3f8206b8596db8bb1804d8a92814a0b6670c9"
/-!
# Characters of representations
This file introduces characters of representation and proves basic lemmas about how characters
behave under various operations on representations.
A key result is the orthogonality of characters for irreducible representations of finite group
over an algebraically closed field whose characteristic doesn't divide the order of the group. It
is the theorem `char_orthonormal`
# Implementation notes
Irreducible representations are implemented categorically, using the `Simple` class defined in
`Mathlib.CategoryTheory.Simple`
# TODO
* Once we have the monoidal closed structure on `FdRep k G` and a better API for the rigid
structure, `char_dual` and `char_linHom` should probably be stated in terms of `Vᘁ` and `ihom V W`.
-/
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]
/-- The character of a representation `V : FdRep k G` is the function associating to `g : G` the
trace of the linear map `V.ρ 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
/-- The character is multiplicative under the tensor product. -/
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)
#align fdRep.char_tensor FdRep.char_tensor
-- Porting note: adding variant of `char_tensor` to make the simp-set confluent
@[simp]
| Mathlib/RepresentationTheory/Character.lean | 70 | 74 | theorem char_tensor' (V W : FdRep k G) :
character (Action.FunctorCategoryEquivalence.inverse.obj
(Action.FunctorCategoryEquivalence.functor.obj V ⊗
Action.FunctorCategoryEquivalence.functor.obj W)) = V.character * W.character := by |
simp [← char_tensor]
|
/-
Copyright (c) 2022 Violeta Hernández. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Violeta Hernández
-/
import Mathlib.Data.Finsupp.Basic
import Mathlib.Data.List.AList
#align_import data.finsupp.alist from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf"
/-!
# Connections between `Finsupp` and `AList`
## Main definitions
* `Finsupp.toAList`
* `AList.lookupFinsupp`: converts an association list into a finitely supported function
via `AList.lookup`, sending absent keys to zero.
-/
namespace Finsupp
variable {α M : Type*} [Zero M]
/-- Produce an association list for the finsupp over its support using choice. -/
@[simps]
noncomputable def toAList (f : α →₀ M) : AList fun _x : α => M :=
⟨f.graph.toList.map Prod.toSigma,
by
rw [List.NodupKeys, List.keys, List.map_map, Prod.fst_comp_toSigma, List.nodup_map_iff_inj_on]
· rintro ⟨b, m⟩ hb ⟨c, n⟩ hc (rfl : b = c)
rw [Finset.mem_toList, Finsupp.mem_graph_iff] at hb hc
dsimp at hb hc
rw [← hc.1, hb.1]
· apply Finset.nodup_toList⟩
#align finsupp.to_alist Finsupp.toAList
@[simp]
theorem toAList_keys_toFinset [DecidableEq α] (f : α →₀ M) :
f.toAList.keys.toFinset = f.support := by
ext
simp [toAList, AList.mem_keys, AList.keys, List.keys]
#align finsupp.to_alist_keys_to_finset Finsupp.toAList_keys_toFinset
@[simp]
theorem mem_toAlist {f : α →₀ M} {x : α} : x ∈ f.toAList ↔ f x ≠ 0 := by
classical rw [AList.mem_keys, ← List.mem_toFinset, toAList_keys_toFinset, mem_support_iff]
#align finsupp.mem_to_alist Finsupp.mem_toAlist
end Finsupp
namespace AList
variable {α M : Type*} [Zero M]
open List
/-- Converts an association list into a finitely supported function via `AList.lookup`, sending
absent keys to zero. -/
noncomputable def lookupFinsupp (l : AList fun _x : α => M) : α →₀ M where
support := by
haveI := Classical.decEq α; haveI := Classical.decEq M
exact (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset
toFun a :=
haveI := Classical.decEq α
(l.lookup a).getD 0
mem_support_toFun a := by
classical
simp_rw [@mem_toFinset _ _, List.mem_keys, List.mem_filter, ← mem_lookup_iff]
cases lookup a l <;> simp
#align alist.lookup_finsupp AList.lookupFinsupp
@[simp]
theorem lookupFinsupp_apply [DecidableEq α] (l : AList fun _x : α => M) (a : α) :
l.lookupFinsupp a = (l.lookup a).getD 0 := by
convert rfl; congr
#align alist.lookup_finsupp_apply AList.lookupFinsupp_apply
@[simp]
theorem lookupFinsupp_support [DecidableEq α] [DecidableEq M] (l : AList fun _x : α => M) :
l.lookupFinsupp.support = (l.1.filter fun x => Sigma.snd x ≠ 0).keys.toFinset := by
convert rfl; congr
· apply Subsingleton.elim
· funext; congr
#align alist.lookup_finsupp_support AList.lookupFinsupp_support
theorem lookupFinsupp_eq_iff_of_ne_zero [DecidableEq α] {l : AList fun _x : α => M} {a : α} {x : M}
(hx : x ≠ 0) : l.lookupFinsupp a = x ↔ x ∈ l.lookup a := by
rw [lookupFinsupp_apply]
cases' lookup a l with m <;> simp [hx.symm]
#align alist.lookup_finsupp_eq_iff_of_ne_zero AList.lookupFinsupp_eq_iff_of_ne_zero
theorem lookupFinsupp_eq_zero_iff [DecidableEq α] {l : AList fun _x : α => M} {a : α} :
l.lookupFinsupp a = 0 ↔ a ∉ l ∨ (0 : M) ∈ l.lookup a := by
rw [lookupFinsupp_apply, ← lookup_eq_none]
cases' lookup a l with m <;> simp
#align alist.lookup_finsupp_eq_zero_iff AList.lookupFinsupp_eq_zero_iff
@[simp]
theorem empty_lookupFinsupp : lookupFinsupp (∅ : AList fun _x : α => M) = 0 := by
classical
ext
simp
#align alist.empty_lookup_finsupp AList.empty_lookupFinsupp
@[simp]
theorem insert_lookupFinsupp [DecidableEq α] (l : AList fun _x : α => M) (a : α) (m : M) :
(l.insert a m).lookupFinsupp = l.lookupFinsupp.update a m := by
ext b
by_cases h : b = a <;> simp [h]
#align alist.insert_lookup_finsupp AList.insert_lookupFinsupp
@[simp]
| Mathlib/Data/Finsupp/AList.lean | 116 | 120 | theorem singleton_lookupFinsupp (a : α) (m : M) :
(singleton a m).lookupFinsupp = Finsupp.single a m := by |
classical
-- porting note (#10745): was `simp [← AList.insert_empty]` but timeout issues
simp only [← AList.insert_empty, insert_lookupFinsupp, empty_lookupFinsupp, Finsupp.zero_update]
|
/-
Copyright (c) 2021 Alex Zhao. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alex Zhao
-/
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Data.Nat.ModEq
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Zify
#align_import number_theory.frobenius_number from "leanprover-community/mathlib"@"1126441d6bccf98c81214a0780c73d499f6721fe"
/-!
# Frobenius Number in Two Variables
In this file we first define a predicate for Frobenius numbers, then solve the 2-variable variant
of this problem.
## Theorem Statement
Given a finite set of relatively prime integers all greater than 1, their Frobenius number is the
largest positive integer that cannot be expressed as a sum of nonnegative multiples of these
integers. Here we show the Frobenius number of two relatively prime integers `m` and `n` greater
than 1 is `m * n - m - n`. This result is also known as the Chicken McNugget Theorem.
## Implementation Notes
First we define Frobenius numbers in general using `IsGreatest` and `AddSubmonoid.closure`. Then
we proceed to compute the Frobenius number of `m` and `n`.
For the upper bound, we begin with an auxiliary lemma showing `m * n` is not attainable, then show
`m * n - m - n` is not attainable. Then for the construction, we create a `k_1` which is `k mod n`
and `0 mod m`, then show it is at most `k`. Then `k_1` is a multiple of `m`, so `(k-k_1)`
is a multiple of n, and we're done.
## Tags
frobenius number, chicken mcnugget, chinese remainder theorem, add_submonoid.closure
-/
open Nat
/-- A natural number `n` is the **Frobenius number** of a set of natural numbers `s` if it is an
upper bound on the complement of the additive submonoid generated by `s`.
In other words, it is the largest number that can not be expressed as a sum of numbers in `s`. -/
def FrobeniusNumber (n : ℕ) (s : Set ℕ) : Prop :=
IsGreatest { k | k ∉ AddSubmonoid.closure s } n
#align is_frobenius_number FrobeniusNumber
variable {m n : ℕ}
/-- The **Chicken McNugget theorem** stating that the Frobenius number
of positive numbers `m` and `n` is `m * n - m - n`. -/
| Mathlib/NumberTheory/FrobeniusNumber.lean | 55 | 82 | theorem frobeniusNumber_pair (cop : Coprime m n) (hm : 1 < m) (hn : 1 < n) :
FrobeniusNumber (m * n - m - n) {m, n} := by |
simp_rw [FrobeniusNumber, AddSubmonoid.mem_closure_pair]
have hmn : m + n ≤ m * n := add_le_mul hm hn
constructor
· push_neg
intro a b h
apply cop.mul_add_mul_ne_mul (add_one_ne_zero a) (add_one_ne_zero b)
simp only [Nat.sub_sub, smul_eq_mul] at h
zify [hmn] at h ⊢
rw [← sub_eq_zero] at h ⊢
rw [← h]
ring
· intro k hk
dsimp at hk
contrapose! hk
let x := chineseRemainder cop 0 k
have hx : x.val < m * n := chineseRemainder_lt_mul cop 0 k (ne_bot_of_gt hm) (ne_bot_of_gt hn)
suffices key : x.1 ≤ k by
obtain ⟨a, ha⟩ := modEq_zero_iff_dvd.mp x.2.1
obtain ⟨b, hb⟩ := (modEq_iff_dvd' key).mp x.2.2
exact ⟨a, b, by rw [mul_comm, ← ha, mul_comm, ← hb, Nat.add_sub_of_le key]⟩
refine ModEq.le_of_lt_add x.2.2 (lt_of_le_of_lt ?_ (add_lt_add_right hk n))
rw [Nat.sub_add_cancel (le_tsub_of_add_le_left hmn)]
exact
ModEq.le_of_lt_add
(x.2.1.trans (modEq_zero_iff_dvd.mpr (Nat.dvd_sub' (dvd_mul_right m n) dvd_rfl)).symm)
(lt_of_lt_of_le hx le_tsub_add)
|
/-
Copyright (c) 2023 Alex Keizer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alex Keizer
-/
import Mathlib.Data.Vector.Basic
import Mathlib.Data.Vector.Snoc
/-!
This file establishes a set of normalization lemmas for `map`/`mapAccumr` operations on vectors
-/
set_option autoImplicit true
namespace Vector
/-!
## Fold nested `mapAccumr`s into one
-/
section Fold
section Unary
variable (xs : Vector α n) (f₁ : β → σ₁ → σ₁ × γ) (f₂ : α → σ₂ → σ₂ × β)
@[simp]
theorem mapAccumr_mapAccumr :
mapAccumr f₁ (mapAccumr f₂ xs s₂).snd s₁
= let m := (mapAccumr (fun x s =>
let r₂ := f₂ x s.snd
let r₁ := f₁ r₂.snd s.fst
((r₁.fst, r₂.fst), r₁.snd)
) xs (s₁, s₂))
(m.fst.fst, m.snd) := by
induction xs using Vector.revInductionOn generalizing s₁ s₂ <;> simp_all
@[simp]
theorem mapAccumr_map (f₂ : α → β) :
(mapAccumr f₁ (map f₂ xs) s) = (mapAccumr (fun x s => f₁ (f₂ x) s) xs s) := by
induction xs using Vector.revInductionOn generalizing s <;> simp_all
@[simp]
theorem map_mapAccumr (f₁ : β → γ) :
(map f₁ (mapAccumr f₂ xs s).snd) = (mapAccumr (fun x s =>
let r := (f₂ x s); (r.fst, f₁ r.snd)
) xs s).snd := by
induction xs using Vector.revInductionOn generalizing s <;> simp_all
@[simp]
theorem map_map (f₁ : β → γ) (f₂ : α → β) :
map f₁ (map f₂ xs) = map (fun x => f₁ <| f₂ x) xs := by
induction xs <;> simp_all
end Unary
section Binary
variable (xs : Vector α n) (ys : Vector β n)
@[simp]
| Mathlib/Data/Vector/MapLemmas.lean | 60 | 68 | theorem mapAccumr₂_mapAccumr_left (f₁ : γ → β → σ₁ → σ₁ × ζ) (f₂ : α → σ₂ → σ₂ × γ) :
(mapAccumr₂ f₁ (mapAccumr f₂ xs s₂).snd ys s₁)
= let m := (mapAccumr₂ (fun x y s =>
let r₂ := f₂ x s.snd
let r₁ := f₁ r₂.snd y s.fst
((r₁.fst, r₂.fst), r₁.snd)
) xs ys (s₁, s₂))
(m.fst.fst, m.snd) := by |
induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all
|
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Yury Kudryashov
-/
import Mathlib.Algebra.Algebra.Defs
import Mathlib.Algebra.Algebra.NonUnitalHom
import Mathlib.Algebra.GroupPower.IterateHom
import Mathlib.LinearAlgebra.TensorProduct.Basic
#align_import algebra.algebra.bilinear from "leanprover-community/mathlib"@"657df4339ae6ceada048c8a2980fb10e393143ec"
/-!
# Facts about algebras involving bilinear maps and tensor products
We move a few basic statements about algebras out of `Algebra.Algebra.Basic`,
in order to avoid importing `LinearAlgebra.BilinearMap` and
`LinearAlgebra.TensorProduct` unnecessarily.
-/
open TensorProduct Module
namespace LinearMap
section NonUnitalNonAssoc
variable (R A : Type*) [CommSemiring R] [NonUnitalNonAssocSemiring A] [Module R A]
[SMulCommClass R A A] [IsScalarTower R A A]
/-- The multiplication in a non-unital non-associative algebra is a bilinear map.
A weaker version of this for semirings exists as `AddMonoidHom.mul`. -/
def mul : A →ₗ[R] A →ₗ[R] A :=
LinearMap.mk₂ R (· * ·) add_mul smul_mul_assoc mul_add mul_smul_comm
#align linear_map.mul LinearMap.mul
/-- The multiplication map on a non-unital algebra, as an `R`-linear map from `A ⊗[R] A` to `A`. -/
noncomputable def mul' : A ⊗[R] A →ₗ[R] A :=
TensorProduct.lift (mul R A)
#align linear_map.mul' LinearMap.mul'
variable {A}
/-- The multiplication on the left in a non-unital algebra is a linear map. -/
def mulLeft (a : A) : A →ₗ[R] A :=
mul R A a
#align linear_map.mul_left LinearMap.mulLeft
/-- The multiplication on the right in an algebra is a linear map. -/
def mulRight (a : A) : A →ₗ[R] A :=
(mul R A).flip a
#align linear_map.mul_right LinearMap.mulRight
/-- Simultaneous multiplication on the left and right is a linear map. -/
def mulLeftRight (ab : A × A) : A →ₗ[R] A :=
(mulRight R ab.snd).comp (mulLeft R ab.fst)
#align linear_map.mul_left_right LinearMap.mulLeftRight
@[simp]
theorem mulLeft_toAddMonoidHom (a : A) : (mulLeft R a : A →+ A) = AddMonoidHom.mulLeft a :=
rfl
#align linear_map.mul_left_to_add_monoid_hom LinearMap.mulLeft_toAddMonoidHom
@[simp]
theorem mulRight_toAddMonoidHom (a : A) : (mulRight R a : A →+ A) = AddMonoidHom.mulRight a :=
rfl
#align linear_map.mul_right_to_add_monoid_hom LinearMap.mulRight_toAddMonoidHom
variable {R}
@[simp]
theorem mul_apply' (a b : A) : mul R A a b = a * b :=
rfl
#align linear_map.mul_apply' LinearMap.mul_apply'
@[simp]
theorem mulLeft_apply (a b : A) : mulLeft R a b = a * b :=
rfl
#align linear_map.mul_left_apply LinearMap.mulLeft_apply
@[simp]
theorem mulRight_apply (a b : A) : mulRight R a b = b * a :=
rfl
#align linear_map.mul_right_apply LinearMap.mulRight_apply
@[simp]
theorem mulLeftRight_apply (a b x : A) : mulLeftRight R (a, b) x = a * x * b :=
rfl
#align linear_map.mul_left_right_apply LinearMap.mulLeftRight_apply
@[simp]
theorem mul'_apply {a b : A} : mul' R A (a ⊗ₜ b) = a * b :=
rfl
#align linear_map.mul'_apply LinearMap.mul'_apply
@[simp]
theorem mulLeft_zero_eq_zero : mulLeft R (0 : A) = 0 :=
(mul R A).map_zero
#align linear_map.mul_left_zero_eq_zero LinearMap.mulLeft_zero_eq_zero
@[simp]
theorem mulRight_zero_eq_zero : mulRight R (0 : A) = 0 :=
(mul R A).flip.map_zero
#align linear_map.mul_right_zero_eq_zero LinearMap.mulRight_zero_eq_zero
end NonUnitalNonAssoc
section NonUnital
variable (R A : Type*) [CommSemiring R] [NonUnitalSemiring A] [Module R A] [SMulCommClass R A A]
[IsScalarTower R A A]
/-- The multiplication in a non-unital algebra is a bilinear map.
A weaker version of this for non-unital non-associative algebras exists as `LinearMap.mul`. -/
def _root_.NonUnitalAlgHom.lmul : A →ₙₐ[R] End R A :=
{ mul R A with
map_mul' := by
intro a b
ext c
exact mul_assoc a b c
map_zero' := by
ext a
exact zero_mul a }
#align non_unital_alg_hom.lmul NonUnitalAlgHom.lmul
variable {R A}
@[simp]
theorem _root_.NonUnitalAlgHom.coe_lmul_eq_mul : ⇑(NonUnitalAlgHom.lmul R A) = mul R A :=
rfl
#align non_unital_alg_hom.coe_lmul_eq_mul NonUnitalAlgHom.coe_lmul_eq_mul
theorem commute_mulLeft_right (a b : A) : Commute (mulLeft R a) (mulRight R b) := by
ext c
exact (mul_assoc a c b).symm
#align linear_map.commute_mul_left_right LinearMap.commute_mulLeft_right
@[simp]
theorem mulLeft_mul (a b : A) : mulLeft R (a * b) = (mulLeft R a).comp (mulLeft R b) := by
ext
simp only [mulLeft_apply, comp_apply, mul_assoc]
#align linear_map.mul_left_mul LinearMap.mulLeft_mul
@[simp]
| Mathlib/Algebra/Algebra/Bilinear.lean | 146 | 148 | theorem mulRight_mul (a b : A) : mulRight R (a * b) = (mulRight R b).comp (mulRight R a) := by |
ext
simp only [mulRight_apply, comp_apply, mul_assoc]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Yury Kudryashov
-/
import Mathlib.Algebra.BigOperators.WithTop
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Data.ENNReal.Basic
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
/-!
# Properties of addition, multiplication and subtraction on extended non-negative real numbers
In this file we prove elementary properties of algebraic operations on `ℝ≥0∞`, including addition,
multiplication, natural powers and truncated subtraction, as well as how these interact with the
order structure on `ℝ≥0∞`. Notably excluded from this list are inversion and division, the
definitions and properties of which can be found in `Data.ENNReal.Inv`.
Note: the definitions of the operations included in this file can be found in `Data.ENNReal.Basic`.
-/
open Set NNReal ENNReal
namespace ENNReal
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
section Mul
-- Porting note (#11215): TODO: generalize to `WithTop`
@[mono, gcongr]
theorem mul_lt_mul (ac : a < c) (bd : b < d) : a * b < c * d := by
rcases lt_iff_exists_nnreal_btwn.1 ac with ⟨a', aa', a'c⟩
lift a to ℝ≥0 using ne_top_of_lt aa'
rcases lt_iff_exists_nnreal_btwn.1 bd with ⟨b', bb', b'd⟩
lift b to ℝ≥0 using ne_top_of_lt bb'
norm_cast at *
calc
↑(a * b) < ↑(a' * b') := coe_lt_coe.2 (mul_lt_mul₀ aa' bb')
_ ≤ c * d := mul_le_mul' a'c.le b'd.le
#align ennreal.mul_lt_mul ENNReal.mul_lt_mul
-- TODO: generalize to `CovariantClass α α (· * ·) (· ≤ ·)`
theorem mul_left_mono : Monotone (a * ·) := fun _ _ => mul_le_mul' le_rfl
#align ennreal.mul_left_mono ENNReal.mul_left_mono
-- TODO: generalize to `CovariantClass α α (swap (· * ·)) (· ≤ ·)`
theorem mul_right_mono : Monotone (· * a) := fun _ _ h => mul_le_mul' h le_rfl
#align ennreal.mul_right_mono ENNReal.mul_right_mono
-- Porting note (#11215): TODO: generalize to `WithTop`
theorem pow_strictMono : ∀ {n : ℕ}, n ≠ 0 → StrictMono fun x : ℝ≥0∞ => x ^ n
| 0, h => absurd rfl h
| 1, _ => by simpa only [pow_one] using strictMono_id
| n + 2, _ => fun x y h ↦ by
simp_rw [pow_succ _ (n + 1)]; exact mul_lt_mul (pow_strictMono n.succ_ne_zero h) h
#align ennreal.pow_strict_mono ENNReal.pow_strictMono
@[gcongr] protected theorem pow_lt_pow_left (h : a < b) {n : ℕ} (hn : n ≠ 0) :
a ^ n < b ^ n :=
ENNReal.pow_strictMono hn h
theorem max_mul : max a b * c = max (a * c) (b * c) := mul_right_mono.map_max
#align ennreal.max_mul ENNReal.max_mul
theorem mul_max : a * max b c = max (a * b) (a * c) := mul_left_mono.map_max
#align ennreal.mul_max ENNReal.mul_max
-- Porting note (#11215): TODO: generalize to `WithTop`
| Mathlib/Data/ENNReal/Operations.lean | 71 | 77 | theorem mul_left_strictMono (h0 : a ≠ 0) (hinf : a ≠ ∞) : StrictMono (a * ·) := by |
lift a to ℝ≥0 using hinf
rw [coe_ne_zero] at h0
intro x y h
contrapose! h
simpa only [← mul_assoc, ← coe_mul, inv_mul_cancel h0, coe_one, one_mul]
using mul_le_mul_left' h (↑a⁻¹)
|
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Mario Carneiro, Sean Leather
-/
import Mathlib.Data.Finset.Card
#align_import data.finset.option from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0"
/-!
# Finite sets in `Option α`
In this file we define
* `Option.toFinset`: construct an empty or singleton `Finset α` from an `Option α`;
* `Finset.insertNone`: given `s : Finset α`, lift it to a finset on `Option α` using `Option.some`
and then insert `Option.none`;
* `Finset.eraseNone`: given `s : Finset (Option α)`, returns `t : Finset α` such that
`x ∈ t ↔ some x ∈ s`.
Then we prove some basic lemmas about these definitions.
## Tags
finset, option
-/
variable {α β : Type*}
open Function
namespace Option
/-- Construct an empty or singleton finset from an `Option` -/
def toFinset (o : Option α) : Finset α :=
o.elim ∅ singleton
#align option.to_finset Option.toFinset
@[simp]
theorem toFinset_none : none.toFinset = (∅ : Finset α) :=
rfl
#align option.to_finset_none Option.toFinset_none
@[simp]
theorem toFinset_some {a : α} : (some a).toFinset = {a} :=
rfl
#align option.to_finset_some Option.toFinset_some
@[simp]
theorem mem_toFinset {a : α} {o : Option α} : a ∈ o.toFinset ↔ a ∈ o := by
cases o <;> simp [eq_comm]
#align option.mem_to_finset Option.mem_toFinset
theorem card_toFinset (o : Option α) : o.toFinset.card = o.elim 0 1 := by cases o <;> rfl
#align option.card_to_finset Option.card_toFinset
end Option
namespace Finset
/-- Given a finset on `α`, lift it to being a finset on `Option α`
using `Option.some` and then insert `Option.none`. -/
def insertNone : Finset α ↪o Finset (Option α) :=
(OrderEmbedding.ofMapLEIff fun s => cons none (s.map Embedding.some) <| by simp) fun s t => by
rw [le_iff_subset, cons_subset_cons, map_subset_map, le_iff_subset]
#align finset.insert_none Finset.insertNone
@[simp]
theorem mem_insertNone {s : Finset α} : ∀ {o : Option α}, o ∈ insertNone s ↔ ∀ a ∈ o, a ∈ s
| none => iff_of_true (Multiset.mem_cons_self _ _) fun a h => by cases h
| some a => Multiset.mem_cons.trans <| by simp
#align finset.mem_insert_none Finset.mem_insertNone
lemma forall_mem_insertNone {s : Finset α} {p : Option α → Prop} :
(∀ a ∈ insertNone s, p a) ↔ p none ∧ ∀ a ∈ s, p a := by simp [Option.forall]
theorem some_mem_insertNone {s : Finset α} {a : α} : some a ∈ insertNone s ↔ a ∈ s := by simp
#align finset.some_mem_insert_none Finset.some_mem_insertNone
lemma none_mem_insertNone {s : Finset α} : none ∈ insertNone s := by simp
@[aesop safe apply (rule_sets := [finsetNonempty])]
lemma insertNone_nonempty {s : Finset α} : insertNone s |>.Nonempty := ⟨none, none_mem_insertNone⟩
@[simp]
theorem card_insertNone (s : Finset α) : s.insertNone.card = s.card + 1 := by simp [insertNone]
#align finset.card_insert_none Finset.card_insertNone
/-- Given `s : Finset (Option α)`, `eraseNone s : Finset α` is the set of `x : α` such that
`some x ∈ s`. -/
def eraseNone : Finset (Option α) →o Finset α :=
(Finset.mapEmbedding (Equiv.optionIsSomeEquiv α).toEmbedding).toOrderHom.comp
⟨Finset.subtype _, subtype_mono⟩
#align finset.erase_none Finset.eraseNone
@[simp]
theorem mem_eraseNone {s : Finset (Option α)} {x : α} : x ∈ eraseNone s ↔ some x ∈ s := by
simp [eraseNone]
#align finset.mem_erase_none Finset.mem_eraseNone
lemma forall_mem_eraseNone {s : Finset (Option α)} {p : Option α → Prop} :
(∀ a ∈ eraseNone s, p a) ↔ ∀ a : α, (a : Option α) ∈ s → p a := by simp [Option.forall]
| Mathlib/Data/Finset/Option.lean | 105 | 108 | theorem eraseNone_eq_biUnion [DecidableEq α] (s : Finset (Option α)) :
eraseNone s = s.biUnion Option.toFinset := by |
ext
simp
|
/-
Copyright (c) 2018 Reid Barton. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Reid Barton
-/
import Mathlib.Topology.Bases
import Mathlib.Topology.DenseEmbedding
#align_import topology.stone_cech from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
/-! # Stone-Čech compactification
Construction of the Stone-Čech compactification using ultrafilters.
Parts of the formalization are based on "Ultrafilters and Topology"
by Marius Stekelenburg, particularly section 5.
-/
noncomputable section
open Filter Set
open Topology
universe u v
section Ultrafilter
/- The set of ultrafilters on α carries a natural topology which makes
it the Stone-Čech compactification of α (viewed as a discrete space). -/
/-- Basis for the topology on `Ultrafilter α`. -/
def ultrafilterBasis (α : Type u) : Set (Set (Ultrafilter α)) :=
range fun s : Set α => { u | s ∈ u }
#align ultrafilter_basis ultrafilterBasis
variable {α : Type u}
instance Ultrafilter.topologicalSpace : TopologicalSpace (Ultrafilter α) :=
TopologicalSpace.generateFrom (ultrafilterBasis α)
#align ultrafilter.topological_space Ultrafilter.topologicalSpace
theorem ultrafilterBasis_is_basis : TopologicalSpace.IsTopologicalBasis (ultrafilterBasis α) :=
⟨by
rintro _ ⟨a, rfl⟩ _ ⟨b, rfl⟩ u ⟨ua, ub⟩
refine ⟨_, ⟨a ∩ b, rfl⟩, inter_mem ua ub, fun v hv => ⟨?_, ?_⟩⟩ <;> apply mem_of_superset hv <;>
simp [inter_subset_right],
eq_univ_of_univ_subset <| subset_sUnion_of_mem <| ⟨univ, eq_univ_of_forall fun u => univ_mem⟩,
rfl⟩
#align ultrafilter_basis_is_basis ultrafilterBasis_is_basis
/-- The basic open sets for the topology on ultrafilters are open. -/
theorem ultrafilter_isOpen_basic (s : Set α) : IsOpen { u : Ultrafilter α | s ∈ u } :=
ultrafilterBasis_is_basis.isOpen ⟨s, rfl⟩
#align ultrafilter_is_open_basic ultrafilter_isOpen_basic
/-- The basic open sets for the topology on ultrafilters are also closed. -/
theorem ultrafilter_isClosed_basic (s : Set α) : IsClosed { u : Ultrafilter α | s ∈ u } := by
rw [← isOpen_compl_iff]
convert ultrafilter_isOpen_basic sᶜ using 1
ext u
exact Ultrafilter.compl_mem_iff_not_mem.symm
#align ultrafilter_is_closed_basic ultrafilter_isClosed_basic
/-- Every ultrafilter `u` on `Ultrafilter α` converges to a unique
point of `Ultrafilter α`, namely `joinM u`. -/
theorem ultrafilter_converges_iff {u : Ultrafilter (Ultrafilter α)} {x : Ultrafilter α} :
↑u ≤ 𝓝 x ↔ x = joinM u := by
rw [eq_comm, ← Ultrafilter.coe_le_coe]
change ↑u ≤ 𝓝 x ↔ ∀ s ∈ x, { v : Ultrafilter α | s ∈ v } ∈ u
simp only [TopologicalSpace.nhds_generateFrom, le_iInf_iff, ultrafilterBasis, le_principal_iff,
mem_setOf_eq]
constructor
· intro h a ha
exact h _ ⟨ha, a, rfl⟩
· rintro h a ⟨xi, a, rfl⟩
exact h _ xi
#align ultrafilter_converges_iff ultrafilter_converges_iff
instance ultrafilter_compact : CompactSpace (Ultrafilter α) :=
⟨isCompact_iff_ultrafilter_le_nhds.mpr fun f _ =>
⟨joinM f, trivial, ultrafilter_converges_iff.mpr rfl⟩⟩
#align ultrafilter_compact ultrafilter_compact
instance Ultrafilter.t2Space : T2Space (Ultrafilter α) :=
t2_iff_ultrafilter.mpr @fun x y f fx fy =>
have hx : x = joinM f := ultrafilter_converges_iff.mp fx
have hy : y = joinM f := ultrafilter_converges_iff.mp fy
hx.trans hy.symm
#align ultrafilter.t2_space Ultrafilter.t2Space
instance : TotallyDisconnectedSpace (Ultrafilter α) := by
rw [totallyDisconnectedSpace_iff_connectedComponent_singleton]
intro A
simp only [Set.eq_singleton_iff_unique_mem, mem_connectedComponent, true_and_iff]
intro B hB
rw [← Ultrafilter.coe_le_coe]
intro s hs
rw [connectedComponent_eq_iInter_isClopen, Set.mem_iInter] at hB
let Z := { F : Ultrafilter α | s ∈ F }
have hZ : IsClopen Z := ⟨ultrafilter_isClosed_basic s, ultrafilter_isOpen_basic s⟩
exact hB ⟨Z, hZ, hs⟩
@[simp] theorem Ultrafilter.tendsto_pure_self (b : Ultrafilter α) : Tendsto pure b (𝓝 b) := by
rw [Tendsto, ← coe_map, ultrafilter_converges_iff]
ext s
change s ∈ b ↔ {t | s ∈ t} ∈ map pure b
simp_rw [mem_map, preimage_setOf_eq, mem_pure, setOf_mem_eq]
| Mathlib/Topology/StoneCech.lean | 110 | 117 | theorem ultrafilter_comap_pure_nhds (b : Ultrafilter α) : comap pure (𝓝 b) ≤ b := by |
rw [TopologicalSpace.nhds_generateFrom]
simp only [comap_iInf, comap_principal]
intro s hs
rw [← le_principal_iff]
refine iInf_le_of_le { u | s ∈ u } ?_
refine iInf_le_of_le ⟨hs, ⟨s, rfl⟩⟩ ?_
exact principal_mono.2 fun a => id
|
/-
Copyright (c) 2023 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Patrick Massot
-/
import Mathlib.LinearAlgebra.Basis
import Mathlib.LinearAlgebra.Dual
import Mathlib.Data.Fin.FlagRange
/-!
# Flag of submodules defined by a basis
In this file we define `Basis.flag b k`, where `b : Basis (Fin n) R M`, `k : Fin (n + 1)`,
to be the subspace spanned by the first `k` vectors of the basis `b`.
We also prove some lemmas about this definition.
-/
open Set Submodule
namespace Basis
section Semiring
variable {R M : Type*} [Semiring R] [AddCommMonoid M] [Module R M] {n : ℕ}
/-- The subspace spanned by the first `k` vectors of the basis `b`. -/
def flag (b : Basis (Fin n) R M) (k : Fin (n + 1)) : Submodule R M :=
.span R <| b '' {i | i.castSucc < k}
@[simp]
theorem flag_zero (b : Basis (Fin n) R M) : b.flag 0 = ⊥ := by simp [flag]
@[simp]
| Mathlib/LinearAlgebra/Basis/Flag.lean | 35 | 36 | theorem flag_last (b : Basis (Fin n) R M) : b.flag (.last n) = ⊤ := by |
simp [flag, Fin.castSucc_lt_last]
|
/-
Copyright (c) 2022 Eric Rodriguez. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Rodriguez, Eric Wieser
-/
import Mathlib.Data.List.Chain
#align_import data.list.destutter from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213"
/-!
# Destuttering of Lists
This file proves theorems about `List.destutter` (in `Data.List.Defs`), which greedily removes all
non-related items that are adjacent in a list, e.g. `[2, 2, 3, 3, 2].destutter (≠) = [2, 3, 2]`.
Note that we make no guarantees of being the longest sublist with this property; e.g.,
`[123, 1, 2, 5, 543, 1000].destutter (<) = [123, 543, 1000]`, but a longer ascending chain could be
`[1, 2, 5, 543, 1000]`.
## Main statements
* `List.destutter_sublist`: `l.destutter` is a sublist of `l`.
* `List.destutter_is_chain'`: `l.destutter` satisfies `Chain' R`.
* Analogies of these theorems for `List.destutter'`, which is the `destutter` equivalent of `Chain`.
## Tags
adjacent, chain, duplicates, remove, list, stutter, destutter
-/
variable {α : Type*} (l : List α) (R : α → α → Prop) [DecidableRel R] {a b : α}
namespace List
@[simp]
theorem destutter'_nil : destutter' R a [] = [a] :=
rfl
#align list.destutter'_nil List.destutter'_nil
theorem destutter'_cons :
(b :: l).destutter' R a = if R a b then a :: destutter' R b l else destutter' R a l :=
rfl
#align list.destutter'_cons List.destutter'_cons
variable {R}
@[simp]
| Mathlib/Data/List/Destutter.lean | 48 | 49 | theorem destutter'_cons_pos (h : R b a) : (a :: l).destutter' R b = b :: l.destutter' R a := by |
rw [destutter', if_pos h]
|
/-
Copyright (c) 2018 Sean Leather. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sean Leather, Mario Carneiro
-/
import Mathlib.Data.List.AList
import Mathlib.Data.Finset.Sigma
import Mathlib.Data.Part
#align_import data.finmap from "leanprover-community/mathlib"@"cea83e192eae2d368ab2b500a0975667da42c920"
/-!
# Finite maps over `Multiset`
-/
universe u v w
open List
variable {α : Type u} {β : α → Type v}
/-! ### Multisets of sigma types-/
namespace Multiset
/-- Multiset of keys of an association multiset. -/
def keys (s : Multiset (Sigma β)) : Multiset α :=
s.map Sigma.fst
#align multiset.keys Multiset.keys
@[simp]
theorem coe_keys {l : List (Sigma β)} : keys (l : Multiset (Sigma β)) = (l.keys : Multiset α) :=
rfl
#align multiset.coe_keys Multiset.coe_keys
-- Porting note: Fixed Nodupkeys -> NodupKeys
/-- `NodupKeys s` means that `s` has no duplicate keys. -/
def NodupKeys (s : Multiset (Sigma β)) : Prop :=
Quot.liftOn s List.NodupKeys fun _ _ p => propext <| perm_nodupKeys p
#align multiset.nodupkeys Multiset.NodupKeys
@[simp]
theorem coe_nodupKeys {l : List (Sigma β)} : @NodupKeys α β l ↔ l.NodupKeys :=
Iff.rfl
#align multiset.coe_nodupkeys Multiset.coe_nodupKeys
lemma nodup_keys {m : Multiset (Σ a, β a)} : m.keys.Nodup ↔ m.NodupKeys := by
rcases m with ⟨l⟩; rfl
alias ⟨_, NodupKeys.nodup_keys⟩ := nodup_keys
protected lemma NodupKeys.nodup {m : Multiset (Σ a, β a)} (h : m.NodupKeys) : m.Nodup :=
h.nodup_keys.of_map _
end Multiset
/-! ### Finmap -/
/-- `Finmap β` is the type of finite maps over a multiset. It is effectively
a quotient of `AList β` by permutation of the underlying list. -/
structure Finmap (β : α → Type v) : Type max u v where
/-- The underlying `Multiset` of a `Finmap` -/
entries : Multiset (Sigma β)
/-- There are no duplicate keys in `entries` -/
nodupKeys : entries.NodupKeys
#align finmap Finmap
/-- The quotient map from `AList` to `Finmap`. -/
def AList.toFinmap (s : AList β) : Finmap β :=
⟨s.entries, s.nodupKeys⟩
#align alist.to_finmap AList.toFinmap
local notation:arg "⟦" a "⟧" => AList.toFinmap a
theorem AList.toFinmap_eq {s₁ s₂ : AList β} :
toFinmap s₁ = toFinmap s₂ ↔ s₁.entries ~ s₂.entries := by
cases s₁
cases s₂
simp [AList.toFinmap]
#align alist.to_finmap_eq AList.toFinmap_eq
@[simp]
theorem AList.toFinmap_entries (s : AList β) : ⟦s⟧.entries = s.entries :=
rfl
#align alist.to_finmap_entries AList.toFinmap_entries
/-- Given `l : List (Sigma β)`, create a term of type `Finmap β` by removing
entries with duplicate keys. -/
def List.toFinmap [DecidableEq α] (s : List (Sigma β)) : Finmap β :=
s.toAList.toFinmap
#align list.to_finmap List.toFinmap
namespace Finmap
open AList
lemma nodup_entries (f : Finmap β) : f.entries.Nodup := f.nodupKeys.nodup
/-! ### Lifting from AList -/
/-- Lift a permutation-respecting function on `AList` to `Finmap`. -/
-- @[elab_as_elim] Porting note: we can't add `elab_as_elim` attr in this type
def liftOn {γ} (s : Finmap β) (f : AList β → γ)
(H : ∀ a b : AList β, a.entries ~ b.entries → f a = f b) : γ := by
refine
(Quotient.liftOn s.entries
(fun (l : List (Sigma β)) => (⟨_, fun nd => f ⟨l, nd⟩⟩ : Part γ))
(fun l₁ l₂ p => Part.ext' (perm_nodupKeys p) ?_) : Part γ).get ?_
· exact fun h1 h2 => H _ _ p
· have := s.nodupKeys
-- Porting note: `revert` required because `rcases` behaves differently
revert this
rcases s.entries with ⟨l⟩
exact id
#align finmap.lift_on Finmap.liftOn
@[simp]
theorem liftOn_toFinmap {γ} (s : AList β) (f : AList β → γ) (H) : liftOn ⟦s⟧ f H = f s := by
cases s
rfl
#align finmap.lift_on_to_finmap Finmap.liftOn_toFinmap
/-- Lift a permutation-respecting function on 2 `AList`s to 2 `Finmap`s. -/
-- @[elab_as_elim] Porting note: we can't add `elab_as_elim` attr in this type
def liftOn₂ {γ} (s₁ s₂ : Finmap β) (f : AList β → AList β → γ)
(H : ∀ a₁ b₁ a₂ b₂ : AList β,
a₁.entries ~ a₂.entries → b₁.entries ~ b₂.entries → f a₁ b₁ = f a₂ b₂) : γ :=
liftOn s₁ (fun l₁ => liftOn s₂ (f l₁) fun b₁ b₂ p => H _ _ _ _ (Perm.refl _) p) fun a₁ a₂ p => by
have H' : f a₁ = f a₂ := funext fun _ => H _ _ _ _ p (Perm.refl _)
simp only [H']
#align finmap.lift_on₂ Finmap.liftOn₂
@[simp]
| Mathlib/Data/Finmap.lean | 134 | 136 | theorem liftOn₂_toFinmap {γ} (s₁ s₂ : AList β) (f : AList β → AList β → γ) (H) :
liftOn₂ ⟦s₁⟧ ⟦s₂⟧ f H = f s₁ s₂ := by |
cases s₁; cases s₂; rfl
|
/-
Copyright (c) 2020 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon
-/
import Mathlib.Topology.Basic
import Mathlib.Order.UpperLower.Basic
import Mathlib.Order.OmegaCompletePartialOrder
#align_import topology.omega_complete_partial_order from "leanprover-community/mathlib"@"2705404e701abc6b3127da906f40bae062a169c9"
/-!
# Scott Topological Spaces
A type of topological spaces whose notion
of continuity is equivalent to continuity in ωCPOs.
## Reference
* https://ncatlab.org/nlab/show/Scott+topology
-/
open Set OmegaCompletePartialOrder
open scoped Classical
universe u
-- "Scott", "ωSup"
set_option linter.uppercaseLean3 false
namespace Scott
/-- `x` is an `ω`-Sup of a chain `c` if it is the least upper bound of the range of `c`. -/
def IsωSup {α : Type u} [Preorder α] (c : Chain α) (x : α) : Prop :=
(∀ i, c i ≤ x) ∧ ∀ y, (∀ i, c i ≤ y) → x ≤ y
#align Scott.is_ωSup Scott.IsωSup
theorem isωSup_iff_isLUB {α : Type u} [Preorder α] {c : Chain α} {x : α} :
IsωSup c x ↔ IsLUB (range c) x := by
simp [IsωSup, IsLUB, IsLeast, upperBounds, lowerBounds]
#align Scott.is_ωSup_iff_is_lub Scott.isωSup_iff_isLUB
variable (α : Type u) [OmegaCompletePartialOrder α]
/-- The characteristic function of open sets is monotone and preserves
the limits of chains. -/
def IsOpen (s : Set α) : Prop :=
Continuous' fun x ↦ x ∈ s
#align Scott.is_open Scott.IsOpen
theorem isOpen_univ : IsOpen α univ :=
⟨fun _ _ _ _ ↦ mem_univ _, @CompleteLattice.top_continuous α Prop _ _⟩
#align Scott.is_open_univ Scott.isOpen_univ
theorem IsOpen.inter (s t : Set α) : IsOpen α s → IsOpen α t → IsOpen α (s ∩ t) :=
CompleteLattice.inf_continuous'
#align Scott.is_open.inter Scott.IsOpen.inter
theorem isOpen_sUnion (s : Set (Set α)) (hs : ∀ t ∈ s, IsOpen α t) : IsOpen α (⋃₀ s) := by
simp only [IsOpen] at hs ⊢
convert CompleteLattice.sSup_continuous' (setOf ⁻¹' s) hs
simp only [sSup_apply, setOf_bijective.surjective.exists, exists_prop, mem_preimage,
SetCoe.exists, iSup_Prop_eq, mem_setOf_eq, mem_sUnion]
#align Scott.is_open_sUnion Scott.isOpen_sUnion
theorem IsOpen.isUpperSet {s : Set α} (hs : IsOpen α s) : IsUpperSet s := hs.fst
end Scott
/-- A Scott topological space is defined on preorders
such that their open sets, seen as a function `α → Prop`,
preserves the joins of ω-chains -/
abbrev Scott (α : Type u) := α
#align Scott Scott
instance Scott.topologicalSpace (α : Type u) [OmegaCompletePartialOrder α] :
TopologicalSpace (Scott α) where
IsOpen := Scott.IsOpen α
isOpen_univ := Scott.isOpen_univ α
isOpen_inter := Scott.IsOpen.inter α
isOpen_sUnion := Scott.isOpen_sUnion α
#align Scott.topological_space Scott.topologicalSpace
section notBelow
variable {α : Type*} [OmegaCompletePartialOrder α] (y : Scott α)
/-- `notBelow` is an open set in `Scott α` used
to prove the monotonicity of continuous functions -/
def notBelow :=
{ x | ¬x ≤ y }
#align not_below notBelow
theorem notBelow_isOpen : IsOpen (notBelow y) := by
have h : Monotone (notBelow y) := fun x z hle ↦ mt hle.trans
refine ⟨h, fun c ↦ eq_of_forall_ge_iff fun z ↦ ?_⟩
simp only [ωSup_le_iff, notBelow, mem_setOf_eq, le_Prop_eq, OrderHom.coe_mk, Chain.map_coe,
Function.comp_apply, exists_imp, not_forall]
#align not_below_is_open notBelow_isOpen
end notBelow
open Scott hiding IsOpen
open OmegaCompletePartialOrder
theorem isωSup_ωSup {α} [OmegaCompletePartialOrder α] (c : Chain α) : IsωSup c (ωSup c) := by
constructor
· apply le_ωSup
· apply ωSup_le
#align is_ωSup_ωSup isωSup_ωSup
| Mathlib/Topology/OmegaCompletePartialOrder.lean | 116 | 129 | theorem scottContinuous_of_continuous {α β} [OmegaCompletePartialOrder α]
[OmegaCompletePartialOrder β] (f : Scott α → Scott β) (hf : Continuous f) :
OmegaCompletePartialOrder.Continuous' f := by |
have h : Monotone f := fun x y h ↦ by
have hf : IsUpperSet {x | ¬f x ≤ f y} := ((notBelow_isOpen (f y)).preimage hf).isUpperSet
simpa only [mem_setOf_eq, le_refl, not_true, imp_false, not_not] using hf h
refine ⟨h, fun c ↦ eq_of_forall_ge_iff fun z ↦ ?_⟩
rcases (notBelow_isOpen z).preimage hf with ⟨hf, hf'⟩
specialize hf' c
simp only [OrderHom.coe_mk, mem_preimage, notBelow, mem_setOf_eq] at hf'
rw [← not_iff_not]
simp only [ωSup_le_iff, hf', ωSup, iSup, sSup, mem_range, Chain.map_coe, Function.comp_apply,
eq_iff_iff, not_forall, OrderHom.coe_mk]
tauto
|
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.Algebra.CharP.Two
import Mathlib.Algebra.CharP.Reduced
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Polynomial.RingDivision
import Mathlib.GroupTheory.SpecificGroups.Cyclic
import Mathlib.NumberTheory.Divisors
import Mathlib.RingTheory.IntegralDomain
import Mathlib.Tactic.Zify
#align_import ring_theory.roots_of_unity.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f"
/-!
# Roots of unity and primitive roots of unity
We define roots of unity in the context of an arbitrary commutative monoid,
as a subgroup of the group of units. We also define a predicate `IsPrimitiveRoot` on commutative
monoids, expressing that an element is a primitive root of unity.
## Main definitions
* `rootsOfUnity n M`, for `n : ℕ+` is the subgroup of the units of a commutative monoid `M`
consisting of elements `x` that satisfy `x ^ n = 1`.
* `IsPrimitiveRoot ζ k`: an element `ζ` is a primitive `k`-th root of unity if `ζ ^ k = 1`,
and if `l` satisfies `ζ ^ l = 1` then `k ∣ l`.
* `primitiveRoots k R`: the finset of primitive `k`-th roots of unity in an integral domain `R`.
* `IsPrimitiveRoot.autToPow`: the monoid hom that takes an automorphism of a ring to the power
it sends that specific primitive root, as a member of `(ZMod n)ˣ`.
## Main results
* `rootsOfUnity.isCyclic`: the roots of unity in an integral domain form a cyclic group.
* `IsPrimitiveRoot.zmodEquivZPowers`: `ZMod k` is equivalent to
the subgroup generated by a primitive `k`-th root of unity.
* `IsPrimitiveRoot.zpowers_eq`: in an integral domain, the subgroup generated by
a primitive `k`-th root of unity is equal to the `k`-th roots of unity.
* `IsPrimitiveRoot.card_primitiveRoots`: if an integral domain
has a primitive `k`-th root of unity, then it has `φ k` of them.
## Implementation details
It is desirable that `rootsOfUnity` is a subgroup,
and it will mainly be applied to rings (e.g. the ring of integers in a number field) and fields.
We therefore implement it as a subgroup of the units of a commutative monoid.
We have chosen to define `rootsOfUnity n` for `n : ℕ+`, instead of `n : ℕ`,
because almost all lemmas need the positivity assumption,
and in particular the type class instances for `Fintype` and `IsCyclic`.
On the other hand, for primitive roots of unity, it is desirable to have a predicate
not just on units, but directly on elements of the ring/field.
For example, we want to say that `exp (2 * pi * I / n)` is a primitive `n`-th root of unity
in the complex numbers, without having to turn that number into a unit first.
This creates a little bit of friction, but lemmas like `IsPrimitiveRoot.isUnit` and
`IsPrimitiveRoot.coe_units_iff` should provide the necessary glue.
-/
open scoped Classical Polynomial
noncomputable section
open Polynomial
open Finset
variable {M N G R S F : Type*}
variable [CommMonoid M] [CommMonoid N] [DivisionCommMonoid G]
section rootsOfUnity
variable {k l : ℕ+}
/-- `rootsOfUnity k M` is the subgroup of elements `m : Mˣ` that satisfy `m ^ k = 1`. -/
def rootsOfUnity (k : ℕ+) (M : Type*) [CommMonoid M] : Subgroup Mˣ where
carrier := {ζ | ζ ^ (k : ℕ) = 1}
one_mem' := one_pow _
mul_mem' _ _ := by simp_all only [Set.mem_setOf_eq, mul_pow, one_mul]
inv_mem' _ := by simp_all only [Set.mem_setOf_eq, inv_pow, inv_one]
#align roots_of_unity rootsOfUnity
@[simp]
theorem mem_rootsOfUnity (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ ζ ^ (k : ℕ) = 1 :=
Iff.rfl
#align mem_roots_of_unity mem_rootsOfUnity
| Mathlib/RingTheory/RootsOfUnity/Basic.lean | 93 | 94 | theorem mem_rootsOfUnity' (k : ℕ+) (ζ : Mˣ) : ζ ∈ rootsOfUnity k M ↔ (ζ : M) ^ (k : ℕ) = 1 := by |
rw [mem_rootsOfUnity]; norm_cast
|
/-
Copyright (c) 2022 Eric Rodriguez. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Rodriguez
-/
import Mathlib.Algebra.IsPrimePow
import Mathlib.SetTheory.Cardinal.Ordinal
import Mathlib.Tactic.WLOG
#align_import set_theory.cardinal.divisibility from "leanprover-community/mathlib"@"ea050b44c0f9aba9d16a948c7cc7d2e7c8493567"
/-!
# Cardinal Divisibility
We show basic results about divisibility in the cardinal numbers. This relation can be characterised
in the following simple way: if `a` and `b` are both less than `ℵ₀`, then `a ∣ b` iff they are
divisible as natural numbers. If `b` is greater than `ℵ₀`, then `a ∣ b` iff `a ≤ b`. This
furthermore shows that all infinite cardinals are prime; recall that `a * b = max a b` if
`ℵ₀ ≤ a * b`; therefore `a ∣ b * c = a ∣ max b c` and therefore clearly either `a ∣ b` or `a ∣ c`.
Note furthermore that no infinite cardinal is irreducible
(`Cardinal.not_irreducible_of_aleph0_le`), showing that the cardinal numbers do not form a
`CancelCommMonoidWithZero`.
## Main results
* `Cardinal.prime_of_aleph0_le`: a `Cardinal` is prime if it is infinite.
* `Cardinal.is_prime_iff`: a `Cardinal` is prime iff it is infinite or a prime natural number.
* `Cardinal.isPrimePow_iff`: a `Cardinal` is a prime power iff it is infinite or a natural number
which is itself a prime power.
-/
namespace Cardinal
open Cardinal
universe u
variable {a b : Cardinal.{u}} {n m : ℕ}
@[simp]
theorem isUnit_iff : IsUnit a ↔ a = 1 := by
refine
⟨fun h => ?_, by
rintro rfl
exact isUnit_one⟩
rcases eq_or_ne a 0 with (rfl | ha)
· exact (not_isUnit_zero h).elim
rw [isUnit_iff_forall_dvd] at h
cases' h 1 with t ht
rw [eq_comm, mul_eq_one_iff'] at ht
· exact ht.1
· exact one_le_iff_ne_zero.mpr ha
· apply one_le_iff_ne_zero.mpr
intro h
rw [h, mul_zero] at ht
exact zero_ne_one ht
#align cardinal.is_unit_iff Cardinal.isUnit_iff
instance : Unique Cardinal.{u}ˣ where
default := 1
uniq a := Units.val_eq_one.mp <| isUnit_iff.mp a.isUnit
theorem le_of_dvd : ∀ {a b : Cardinal}, b ≠ 0 → a ∣ b → a ≤ b
| a, x, b0, ⟨b, hab⟩ => by
simpa only [hab, mul_one] using
mul_le_mul_left' (one_le_iff_ne_zero.2 fun h : b = 0 => b0 (by rwa [h, mul_zero] at hab)) a
#align cardinal.le_of_dvd Cardinal.le_of_dvd
theorem dvd_of_le_of_aleph0_le (ha : a ≠ 0) (h : a ≤ b) (hb : ℵ₀ ≤ b) : a ∣ b :=
⟨b, (mul_eq_right hb h ha).symm⟩
#align cardinal.dvd_of_le_of_aleph_0_le Cardinal.dvd_of_le_of_aleph0_le
@[simp]
theorem prime_of_aleph0_le (ha : ℵ₀ ≤ a) : Prime a := by
refine ⟨(aleph0_pos.trans_le ha).ne', ?_, fun b c hbc => ?_⟩
· rw [isUnit_iff]
exact (one_lt_aleph0.trans_le ha).ne'
rcases eq_or_ne (b * c) 0 with hz | hz
· rcases mul_eq_zero.mp hz with (rfl | rfl) <;> simp
wlog h : c ≤ b
· cases le_total c b <;> [solve_by_elim; rw [or_comm]]
apply_assumption
assumption'
all_goals rwa [mul_comm]
left
have habc := le_of_dvd hz hbc
rwa [mul_eq_max' <| ha.trans <| habc, max_def', if_pos h] at hbc
#align cardinal.prime_of_aleph_0_le Cardinal.prime_of_aleph0_le
theorem not_irreducible_of_aleph0_le (ha : ℵ₀ ≤ a) : ¬Irreducible a := by
rw [irreducible_iff, not_and_or]
refine Or.inr fun h => ?_
simpa [mul_aleph0_eq ha, isUnit_iff, (one_lt_aleph0.trans_le ha).ne', one_lt_aleph0.ne'] using
h a ℵ₀
#align cardinal.not_irreducible_of_aleph_0_le Cardinal.not_irreducible_of_aleph0_le
@[simp, norm_cast]
| Mathlib/SetTheory/Cardinal/Divisibility.lean | 100 | 108 | theorem nat_coe_dvd_iff : (n : Cardinal) ∣ m ↔ n ∣ m := by |
refine ⟨?_, fun ⟨h, ht⟩ => ⟨h, mod_cast ht⟩⟩
rintro ⟨k, hk⟩
have : ↑m < ℵ₀ := nat_lt_aleph0 m
rw [hk, mul_lt_aleph0_iff] at this
rcases this with (h | h | ⟨-, hk'⟩)
iterate 2 simp only [h, mul_zero, zero_mul, Nat.cast_eq_zero] at hk; simp [hk]
lift k to ℕ using hk'
exact ⟨k, mod_cast hk⟩
|
/-
Copyright (c) 2014 Parikshit Khanna. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Parikshit Khanna, Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Mario Carneiro
-/
import Mathlib.Data.List.Join
#align_import data.list.permutation from "leanprover-community/mathlib"@"dd71334db81d0bd444af1ee339a29298bef40734"
/-!
# Permutations of a list
In this file we prove properties about `List.Permutations`, a list of all permutations of a list. It
is defined in `Data.List.Defs`.
## Order of the permutations
Designed for performance, the order in which the permutations appear in `List.Permutations` is
rather intricate and not very amenable to induction. That's why we also provide `List.Permutations'`
as a less efficient but more straightforward way of listing permutations.
### `List.Permutations`
TODO. In the meantime, you can try decrypting the docstrings.
### `List.Permutations'`
The list of partitions is built by recursion. The permutations of `[]` are `[[]]`. Then, the
permutations of `a :: l` are obtained by taking all permutations of `l` in order and adding `a` in
all positions. Hence, to build `[0, 1, 2, 3].permutations'`, it does
* `[[]]`
* `[[3]]`
* `[[2, 3], [3, 2]]]`
* `[[1, 2, 3], [2, 1, 3], [2, 3, 1], [1, 3, 2], [3, 1, 2], [3, 2, 1]]`
* `[[0, 1, 2, 3], [1, 0, 2, 3], [1, 2, 0, 3], [1, 2, 3, 0],`
`[0, 2, 1, 3], [2, 0, 1, 3], [2, 1, 0, 3], [2, 1, 3, 0],`
`[0, 2, 3, 1], [2, 0, 3, 1], [2, 3, 0, 1], [2, 3, 1, 0],`
`[0, 1, 3, 2], [1, 0, 3, 2], [1, 3, 0, 2], [1, 3, 2, 0],`
`[0, 3, 1, 2], [3, 0, 1, 2], [3, 1, 0, 2], [3, 1, 2, 0],`
`[0, 3, 2, 1], [3, 0, 2, 1], [3, 2, 0, 1], [3, 2, 1, 0]]`
## TODO
Show that `l.Nodup → l.permutations.Nodup`. See `Data.Fintype.List`.
-/
-- Make sure we don't import algebra
assert_not_exists Monoid
open Nat
variable {α β : Type*}
namespace List
theorem permutationsAux2_fst (t : α) (ts : List α) (r : List β) :
∀ (ys : List α) (f : List α → β), (permutationsAux2 t ts r ys f).1 = ys ++ ts
| [], f => rfl
| y :: ys, f => by simp [permutationsAux2, permutationsAux2_fst t _ _ ys]
#align list.permutations_aux2_fst List.permutationsAux2_fst
@[simp]
theorem permutationsAux2_snd_nil (t : α) (ts : List α) (r : List β) (f : List α → β) :
(permutationsAux2 t ts r [] f).2 = r :=
rfl
#align list.permutations_aux2_snd_nil List.permutationsAux2_snd_nil
@[simp]
theorem permutationsAux2_snd_cons (t : α) (ts : List α) (r : List β) (y : α) (ys : List α)
(f : List α → β) :
(permutationsAux2 t ts r (y :: ys) f).2 =
f (t :: y :: ys ++ ts) :: (permutationsAux2 t ts r ys fun x : List α => f (y :: x)).2 := by
simp [permutationsAux2, permutationsAux2_fst t _ _ ys]
#align list.permutations_aux2_snd_cons List.permutationsAux2_snd_cons
/-- The `r` argument to `permutationsAux2` is the same as appending. -/
theorem permutationsAux2_append (t : α) (ts : List α) (r : List β) (ys : List α) (f : List α → β) :
(permutationsAux2 t ts nil ys f).2 ++ r = (permutationsAux2 t ts r ys f).2 := by
induction ys generalizing f <;> simp [*]
#align list.permutations_aux2_append List.permutationsAux2_append
/-- The `ts` argument to `permutationsAux2` can be folded into the `f` argument. -/
theorem permutationsAux2_comp_append {t : α} {ts ys : List α} {r : List β} (f : List α → β) :
((permutationsAux2 t [] r ys) fun x => f (x ++ ts)).2 = (permutationsAux2 t ts r ys f).2 := by
induction' ys with ys_hd _ ys_ih generalizing f
· simp
· simp [ys_ih fun xs => f (ys_hd :: xs)]
#align list.permutations_aux2_comp_append List.permutationsAux2_comp_append
theorem map_permutationsAux2' {α' β'} (g : α → α') (g' : β → β') (t : α) (ts ys : List α)
(r : List β) (f : List α → β) (f' : List α' → β') (H : ∀ a, g' (f a) = f' (map g a)) :
map g' (permutationsAux2 t ts r ys f).2 =
(permutationsAux2 (g t) (map g ts) (map g' r) (map g ys) f').2 := by
induction' ys with ys_hd _ ys_ih generalizing f f'
· simp
· simp only [map, permutationsAux2_snd_cons, cons_append, cons.injEq]
rw [ys_ih, permutationsAux2_fst]
· refine ⟨?_, rfl⟩
simp only [← map_cons, ← map_append]; apply H
· intro a; apply H
#align list.map_permutations_aux2' List.map_permutationsAux2'
/-- The `f` argument to `permutationsAux2` when `r = []` can be eliminated. -/
| Mathlib/Data/List/Permutation.lean | 104 | 108 | theorem map_permutationsAux2 (t : α) (ts : List α) (ys : List α) (f : List α → β) :
(permutationsAux2 t ts [] ys id).2.map f = (permutationsAux2 t ts [] ys f).2 := by |
rw [map_permutationsAux2' id, map_id, map_id]
· rfl
simp
|
/-
Copyright (c) 2023 Scott Carnahan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Carnahan
-/
import Mathlib.Algebra.Group.NatPowAssoc
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Induction
import Mathlib.Algebra.Polynomial.Eval
/-!
# Scalar-multiple polynomial evaluation
This file defines polynomial evaluation via scalar multiplication. Our polynomials have
coefficients in a semiring `R`, and we evaluate at a weak form of `R`-algebra, namely an additive
commutative monoid with an action of `R` and a notion of natural number power. This
is a generalization of `Algebra.Polynomial.Eval`.
## Main definitions
* `Polynomial.smeval`: function for evaluating a polynomial with coefficients in a `Semiring`
`R` at an element `x` of an `AddCommMonoid` `S` that has natural number powers and an `R`-action.
* `smeval.linearMap`: the `smeval` function as an `R`-linear map, when `S` is an `R`-module.
* `smeval.algebraMap`: the `smeval` function as an `R`-algebra map, when `S` is an `R`-algebra.
## Main results
* `smeval_monomial`: monomials evaluate as we expect.
* `smeval_add`, `smeval_smul`: linearity of evaluation, given an `R`-module.
* `smeval_mul`, `smeval_comp`: multiplicativity of evaluation, given power-associativity.
* `eval₂_eq_smeval`, `leval_eq_smeval.linearMap`, `aeval = smeval.algebraMap`, etc.: comparisons
## To do
* `smeval_neg` and `smeval_intCast` for `R` a ring and `S` an `AddCommGroup`.
* Nonunital evaluation for polynomials with vanishing constant term for `Pow S ℕ+` (different file?)
-/
namespace Polynomial
section MulActionWithZero
variable {R : Type*} [Semiring R] (r : R) (p : R[X]) {S : Type*} [AddCommMonoid S] [Pow S ℕ]
[MulActionWithZero R S] (x : S)
/-- Scalar multiplication together with taking a natural number power. -/
def smul_pow : ℕ → R → S := fun n r => r • x^n
/-- Evaluate a polynomial `p` in the scalar semiring `R` at an element `x` in the target `S` using
scalar multiple `R`-action. -/
irreducible_def smeval : S := p.sum (smul_pow x)
theorem smeval_eq_sum : p.smeval x = p.sum (smul_pow x) := by rw [smeval_def]
@[simp]
theorem smeval_C : (C r).smeval x = r • x ^ 0 := by
simp only [smeval_eq_sum, smul_pow, zero_smul, sum_C_index]
@[simp]
theorem smeval_monomial (n : ℕ) :
(monomial n r).smeval x = r • x ^ n := by
simp only [smeval_eq_sum, smul_pow, zero_smul, sum_monomial_index]
theorem eval_eq_smeval : p.eval r = p.smeval r := by
rw [eval_eq_sum, smeval_eq_sum]
rfl
theorem eval₂_eq_smeval (R : Type*) [Semiring R] {S : Type*} [Semiring S] (f : R →+* S) (p : R[X])
(x: S) : letI : Module R S := RingHom.toModule f
p.eval₂ f x = p.smeval x := by
letI : Module R S := RingHom.toModule f
rw [smeval_eq_sum, eval₂_eq_sum]
rfl
variable (R)
@[simp]
theorem smeval_zero : (0 : R[X]).smeval x = 0 := by
simp only [smeval_eq_sum, smul_pow, sum_zero_index]
@[simp]
theorem smeval_one : (1 : R[X]).smeval x = 1 • x ^ 0 := by
rw [← C_1, smeval_C]
simp only [Nat.cast_one, one_smul]
@[simp]
| Mathlib/Algebra/Polynomial/Smeval.lean | 88 | 90 | theorem smeval_X :
(X : R[X]).smeval x = x ^ 1 := by |
simp only [smeval_eq_sum, smul_pow, zero_smul, sum_X_index, one_smul]
|
/-
Copyright (c) 2023 Yuma Mizuno. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yuma Mizuno
-/
import Mathlib.Tactic.CategoryTheory.Coherence
import Mathlib.CategoryTheory.Bicategory.Coherence
/-!
# Adjunctions in bicategories
For 1-morphisms `f : a ⟶ b` and `g : b ⟶ a` in a bicategory, an adjunction between `f` and `g`
consists of a pair of 2-morphism `η : 𝟙 a ⟶ f ≫ g` and `ε : g ≫ f ⟶ 𝟙 b` satisfying the triangle
identities. The 2-morphism `η` is called the unit and `ε` is called the counit.
## Main definitions
* `Bicategory.Adjunction`: adjunctions between two 1-morphisms.
* `Bicategory.Equivalence`: adjoint equivalences between two objects.
* `Bicategory.mkOfAdjointifyCounit`: construct an adjoint equivalence from 2-isomorphisms
`η : 𝟙 a ≅ f ≫ g` and `ε : g ≫ f ≅ 𝟙 b`, by upgrading `ε` to a counit.
## Implementation notes
The computation of 2-morphisms in the proof is done using `calc` blocks. Typically,
the LHS and the RHS in each step of `calc` are related by simple rewriting up to associators
and unitors. So the proof for each step should be of the form `rw [...]; coherence`. In practice,
our proofs look like `rw [...]; simp [bicategoricalComp]; coherence`. The `simp` is not strictly
necessary, but it speeds up the proof and allow us to avoid increasing the `maxHeartbeats`.
The speedup is probably due to reducing the length of the expression e.g. by absorbing
identity maps or applying the pentagon relation. Such a hack may not be necessary if the
coherence tactic is improved. One possible way would be to perform such a simplification in the
preprocessing of the coherence tactic.
## Todo
* `Bicategory.mkOfAdjointifyUnit`: construct an adjoint equivalence from 2-isomorphisms
`η : 𝟙 a ≅ f ≫ g` and `ε : g ≫ f ≅ 𝟙 b`, by upgrading `η` to a unit.
-/
namespace CategoryTheory
namespace Bicategory
open Category
open scoped Bicategory
open Mathlib.Tactic.BicategoryCoherence (bicategoricalComp bicategoricalIsoComp)
universe w v u
variable {B : Type u} [Bicategory.{w, v} B] {a b c : B} {f : a ⟶ b} {g : b ⟶ a}
/-- The 2-morphism defined by the following pasting diagram:
```
a －－－－－－ ▸ a
＼ η ◥ ＼
f ＼ g ／ ＼ f
◢ ／ ε ◢
b －－－－－－ ▸ b
```
-/
def leftZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) :=
η ▷ f ⊗≫ f ◁ ε
/-- The 2-morphism defined by the following pasting diagram:
```
a －－－－－－ ▸ a
◥ ＼ η ◥
g ／ ＼ f ／ g
／ ε ◢ ／
b －－－－－－ ▸ b
```
-/
def rightZigzag (η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) :=
g ◁ η ⊗≫ ε ▷ g
| Mathlib/CategoryTheory/Bicategory/Adjunction.lean | 79 | 91 | theorem rightZigzag_idempotent_of_left_triangle
(η : 𝟙 a ⟶ f ≫ g) (ε : g ≫ f ⟶ 𝟙 b) (h : leftZigzag η ε = (λ_ _).hom ≫ (ρ_ _).inv) :
rightZigzag η ε ⊗≫ rightZigzag η ε = rightZigzag η ε := by |
dsimp only [rightZigzag]
calc
_ = g ◁ η ⊗≫ ((ε ▷ g ▷ 𝟙 a) ≫ (𝟙 b ≫ g) ◁ η) ⊗≫ ε ▷ g := by
simp [bicategoricalComp]; coherence
_ = 𝟙 _ ⊗≫ g ◁ (η ▷ 𝟙 a ≫ (f ≫ g) ◁ η) ⊗≫ (ε ▷ (g ≫ f) ≫ 𝟙 b ◁ ε) ▷ g ⊗≫ 𝟙 _ := by
rw [← whisker_exchange]; simp [bicategoricalComp]; coherence
_ = g ◁ η ⊗≫ g ◁ leftZigzag η ε ▷ g ⊗≫ ε ▷ g := by
rw [← whisker_exchange, ← whisker_exchange]; simp [leftZigzag, bicategoricalComp]; coherence
_ = g ◁ η ⊗≫ ε ▷ g := by
rw [h]; simp [bicategoricalComp]; coherence
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.Set.Lattice
#align_import data.semiquot from "leanprover-community/mathlib"@"09597669f02422ed388036273d8848119699c22f"
/-! # Semiquotients
A data type for semiquotients, which are classically equivalent to
nonempty sets, but are useful for programming; the idea is that
a semiquotient set `S` represents some (particular but unknown)
element of `S`. This can be used to model nondeterministic functions,
which return something in a range of values (represented by the
predicate `S`) but are not completely determined.
-/
/-- A member of `Semiquot α` is classically a nonempty `Set α`,
and in the VM is represented by an element of `α`; the relation
between these is that the VM element is required to be a member
of the set `s`. The specific element of `s` that the VM computes
is hidden by a quotient construction, allowing for the representation
of nondeterministic functions. -/
-- Porting note: removed universe parameter
structure Semiquot (α : Type*) where mk' ::
/-- Set containing some element of `α`-/
s : Set α
/-- Assertion of non-emptiness via `Trunc`-/
val : Trunc s
#align semiquot Semiquot
namespace Semiquot
variable {α : Type*} {β : Type*}
instance : Membership α (Semiquot α) :=
⟨fun a q => a ∈ q.s⟩
/-- Construct a `Semiquot α` from `h : a ∈ s` where `s : Set α`. -/
def mk {a : α} {s : Set α} (h : a ∈ s) : Semiquot α :=
⟨s, Trunc.mk ⟨a, h⟩⟩
#align semiquot.mk Semiquot.mk
| Mathlib/Data/Semiquot.lean | 47 | 50 | theorem ext_s {q₁ q₂ : Semiquot α} : q₁ = q₂ ↔ q₁.s = q₂.s := by |
refine ⟨congr_arg _, fun h => ?_⟩
cases' q₁ with _ v₁; cases' q₂ with _ v₂; congr
exact Subsingleton.helim (congrArg Trunc (congrArg Set.Elem h)) v₁ v₂
|
/-
Copyright (c) 2017 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.Multiset.Dedup
#align_import data.multiset.finset_ops from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0"
/-!
# Preparations for defining operations on `Finset`.
The operations here ignore multiplicities,
and preparatory for defining the corresponding operations on `Finset`.
-/
namespace Multiset
open List
variable {α : Type*} [DecidableEq α] {s : Multiset α}
/-! ### finset insert -/
/-- `ndinsert a s` is the lift of the list `insert` operation. This operation
does not respect multiplicities, unlike `cons`, but it is suitable as
an insert operation on `Finset`. -/
def ndinsert (a : α) (s : Multiset α) : Multiset α :=
Quot.liftOn s (fun l => (l.insert a : Multiset α)) fun _ _ p => Quot.sound (p.insert a)
#align multiset.ndinsert Multiset.ndinsert
@[simp]
theorem coe_ndinsert (a : α) (l : List α) : ndinsert a l = (insert a l : List α) :=
rfl
#align multiset.coe_ndinsert Multiset.coe_ndinsert
@[simp, nolint simpNF] -- Porting note (#10675): dsimp can not prove this
theorem ndinsert_zero (a : α) : ndinsert a 0 = {a} :=
rfl
#align multiset.ndinsert_zero Multiset.ndinsert_zero
@[simp]
theorem ndinsert_of_mem {a : α} {s : Multiset α} : a ∈ s → ndinsert a s = s :=
Quot.inductionOn s fun _ h => congr_arg ((↑) : List α → Multiset α) <| insert_of_mem h
#align multiset.ndinsert_of_mem Multiset.ndinsert_of_mem
@[simp]
theorem ndinsert_of_not_mem {a : α} {s : Multiset α} : a ∉ s → ndinsert a s = a ::ₘ s :=
Quot.inductionOn s fun _ h => congr_arg ((↑) : List α → Multiset α) <| insert_of_not_mem h
#align multiset.ndinsert_of_not_mem Multiset.ndinsert_of_not_mem
@[simp]
theorem mem_ndinsert {a b : α} {s : Multiset α} : a ∈ ndinsert b s ↔ a = b ∨ a ∈ s :=
Quot.inductionOn s fun _ => mem_insert_iff
#align multiset.mem_ndinsert Multiset.mem_ndinsert
@[simp]
theorem le_ndinsert_self (a : α) (s : Multiset α) : s ≤ ndinsert a s :=
Quot.inductionOn s fun _ => (sublist_insert _ _).subperm
#align multiset.le_ndinsert_self Multiset.le_ndinsert_self
-- Porting note: removing @[simp], simp can prove it
theorem mem_ndinsert_self (a : α) (s : Multiset α) : a ∈ ndinsert a s :=
mem_ndinsert.2 (Or.inl rfl)
#align multiset.mem_ndinsert_self Multiset.mem_ndinsert_self
theorem mem_ndinsert_of_mem {a b : α} {s : Multiset α} (h : a ∈ s) : a ∈ ndinsert b s :=
mem_ndinsert.2 (Or.inr h)
#align multiset.mem_ndinsert_of_mem Multiset.mem_ndinsert_of_mem
@[simp]
theorem length_ndinsert_of_mem {a : α} {s : Multiset α} (h : a ∈ s) :
card (ndinsert a s) = card s := by simp [h]
#align multiset.length_ndinsert_of_mem Multiset.length_ndinsert_of_mem
@[simp]
| Mathlib/Data/Multiset/FinsetOps.lean | 79 | 80 | theorem length_ndinsert_of_not_mem {a : α} {s : Multiset α} (h : a ∉ s) :
card (ndinsert a s) = card s + 1 := by | simp [h]
|
/-
Copyright (c) 2021 Yaël Dillies, Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies, Bhavik Mehta
-/
import Mathlib.Analysis.Convex.Topology
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.Analysis.Seminorm
import Mathlib.Analysis.LocallyConvex.Bounded
import Mathlib.Analysis.RCLike.Basic
#align_import analysis.convex.gauge from "leanprover-community/mathlib"@"373b03b5b9d0486534edbe94747f23cb3712f93d"
/-!
# The Minkowski functional
This file defines the Minkowski functional, aka gauge.
The Minkowski functional of a set `s` is the function which associates each point to how much you
need to scale `s` for `x` to be inside it. When `s` is symmetric, convex and absorbent, its gauge is
a seminorm. Reciprocally, any seminorm arises as the gauge of some set, namely its unit ball. This
induces the equivalence of seminorms and locally convex topological vector spaces.
## Main declarations
For a real vector space,
* `gauge`: Aka Minkowski functional. `gauge s x` is the least (actually, an infimum) `r` such
that `x ∈ r • s`.
* `gaugeSeminorm`: The Minkowski functional as a seminorm, when `s` is symmetric, convex and
absorbent.
## References
* [H. H. Schaefer, *Topological Vector Spaces*][schaefer1966]
## Tags
Minkowski functional, gauge
-/
open NormedField Set
open scoped Pointwise Topology NNReal
noncomputable section
variable {𝕜 E F : Type*}
section AddCommGroup
variable [AddCommGroup E] [Module ℝ E]
/-- The Minkowski functional. Given a set `s` in a real vector space, `gauge s` is the functional
which sends `x : E` to the smallest `r : ℝ` such that `x` is in `s` scaled by `r`. -/
def gauge (s : Set E) (x : E) : ℝ :=
sInf { r : ℝ | 0 < r ∧ x ∈ r • s }
#align gauge gauge
variable {s t : Set E} {x : E} {a : ℝ}
theorem gauge_def : gauge s x = sInf ({ r ∈ Set.Ioi (0 : ℝ) | x ∈ r • s }) :=
rfl
#align gauge_def gauge_def
/-- An alternative definition of the gauge using scalar multiplication on the element rather than on
the set. -/
theorem gauge_def' : gauge s x = sInf {r ∈ Set.Ioi (0 : ℝ) | r⁻¹ • x ∈ s} := by
congrm sInf {r | ?_}
exact and_congr_right fun hr => mem_smul_set_iff_inv_smul_mem₀ hr.ne' _ _
#align gauge_def' gauge_def'
private theorem gauge_set_bddBelow : BddBelow { r : ℝ | 0 < r ∧ x ∈ r • s } :=
⟨0, fun _ hr => hr.1.le⟩
/-- If the given subset is `Absorbent` then the set we take an infimum over in `gauge` is nonempty,
which is useful for proving many properties about the gauge. -/
theorem Absorbent.gauge_set_nonempty (absorbs : Absorbent ℝ s) :
{ r : ℝ | 0 < r ∧ x ∈ r • s }.Nonempty :=
let ⟨r, hr₁, hr₂⟩ := (absorbs x).exists_pos
⟨r, hr₁, hr₂ r (Real.norm_of_nonneg hr₁.le).ge rfl⟩
#align absorbent.gauge_set_nonempty Absorbent.gauge_set_nonempty
theorem gauge_mono (hs : Absorbent ℝ s) (h : s ⊆ t) : gauge t ≤ gauge s := fun _ =>
csInf_le_csInf gauge_set_bddBelow hs.gauge_set_nonempty fun _ hr => ⟨hr.1, smul_set_mono h hr.2⟩
#align gauge_mono gauge_mono
theorem exists_lt_of_gauge_lt (absorbs : Absorbent ℝ s) (h : gauge s x < a) :
∃ b, 0 < b ∧ b < a ∧ x ∈ b • s := by
obtain ⟨b, ⟨hb, hx⟩, hba⟩ := exists_lt_of_csInf_lt absorbs.gauge_set_nonempty h
exact ⟨b, hb, hba, hx⟩
#align exists_lt_of_gauge_lt exists_lt_of_gauge_lt
/-- The gauge evaluated at `0` is always zero (mathematically this requires `0` to be in the set `s`
but, the real infimum of the empty set in Lean being defined as `0`, it holds unconditionally). -/
@[simp]
theorem gauge_zero : gauge s 0 = 0 := by
rw [gauge_def']
by_cases h : (0 : E) ∈ s
· simp only [smul_zero, sep_true, h, csInf_Ioi]
· simp only [smul_zero, sep_false, h, Real.sInf_empty]
#align gauge_zero gauge_zero
@[simp]
theorem gauge_zero' : gauge (0 : Set E) = 0 := by
ext x
rw [gauge_def']
obtain rfl | hx := eq_or_ne x 0
· simp only [csInf_Ioi, mem_zero, Pi.zero_apply, eq_self_iff_true, sep_true, smul_zero]
· simp only [mem_zero, Pi.zero_apply, inv_eq_zero, smul_eq_zero]
convert Real.sInf_empty
exact eq_empty_iff_forall_not_mem.2 fun r hr => hr.2.elim (ne_of_gt hr.1) hx
#align gauge_zero' gauge_zero'
@[simp]
theorem gauge_empty : gauge (∅ : Set E) = 0 := by
ext
simp only [gauge_def', Real.sInf_empty, mem_empty_iff_false, Pi.zero_apply, sep_false]
#align gauge_empty gauge_empty
| Mathlib/Analysis/Convex/Gauge.lean | 119 | 121 | theorem gauge_of_subset_zero (h : s ⊆ 0) : gauge s = 0 := by |
obtain rfl | rfl := subset_singleton_iff_eq.1 h
exacts [gauge_empty, gauge_zero']
|
/-
Copyright (c) 2014 Robert Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Lewis, Leonardo de Moura, Johannes Hölzl, Mario Carneiro
-/
import Mathlib.Algebra.Field.Defs
import Mathlib.Algebra.GroupWithZero.Units.Lemmas
import Mathlib.Algebra.Ring.Commute
import Mathlib.Algebra.Ring.Invertible
import Mathlib.Order.Synonym
#align_import algebra.field.basic from "leanprover-community/mathlib"@"05101c3df9d9cfe9430edc205860c79b6d660102"
/-!
# Lemmas about division (semi)rings and (semi)fields
-/
open Function OrderDual Set
universe u
variable {α β K : Type*}
section DivisionSemiring
variable [DivisionSemiring α] {a b c d : α}
theorem add_div (a b c : α) : (a + b) / c = a / c + b / c := by simp_rw [div_eq_mul_inv, add_mul]
#align add_div add_div
@[field_simps]
theorem div_add_div_same (a b c : α) : a / c + b / c = (a + b) / c :=
(add_div _ _ _).symm
#align div_add_div_same div_add_div_same
theorem same_add_div (h : b ≠ 0) : (b + a) / b = 1 + a / b := by rw [← div_self h, add_div]
#align same_add_div same_add_div
theorem div_add_same (h : b ≠ 0) : (a + b) / b = a / b + 1 := by rw [← div_self h, add_div]
#align div_add_same div_add_same
theorem one_add_div (h : b ≠ 0) : 1 + a / b = (b + a) / b :=
(same_add_div h).symm
#align one_add_div one_add_div
theorem div_add_one (h : b ≠ 0) : a / b + 1 = (a + b) / b :=
(div_add_same h).symm
#align div_add_one div_add_one
/-- See `inv_add_inv` for the more convenient version when `K` is commutative. -/
theorem inv_add_inv' (ha : a ≠ 0) (hb : b ≠ 0) :
a⁻¹ + b⁻¹ = a⁻¹ * (a + b) * b⁻¹ :=
let _ := invertibleOfNonzero ha; let _ := invertibleOfNonzero hb; invOf_add_invOf a b
theorem one_div_mul_add_mul_one_div_eq_one_div_add_one_div (ha : a ≠ 0) (hb : b ≠ 0) :
1 / a * (a + b) * (1 / b) = 1 / a + 1 / b := by
simpa only [one_div] using (inv_add_inv' ha hb).symm
#align one_div_mul_add_mul_one_div_eq_one_div_add_one_div one_div_mul_add_mul_one_div_eq_one_div_add_one_div
theorem add_div_eq_mul_add_div (a b : α) (hc : c ≠ 0) : a + b / c = (a * c + b) / c :=
(eq_div_iff_mul_eq hc).2 <| by rw [right_distrib, div_mul_cancel₀ _ hc]
#align add_div_eq_mul_add_div add_div_eq_mul_add_div
@[field_simps]
theorem add_div' (a b c : α) (hc : c ≠ 0) : b + a / c = (b * c + a) / c := by
rw [add_div, mul_div_cancel_right₀ _ hc]
#align add_div' add_div'
@[field_simps]
theorem div_add' (a b c : α) (hc : c ≠ 0) : a / c + b = (a + b * c) / c := by
rwa [add_comm, add_div', add_comm]
#align div_add' div_add'
protected theorem Commute.div_add_div (hbc : Commute b c) (hbd : Commute b d) (hb : b ≠ 0)
(hd : d ≠ 0) : a / b + c / d = (a * d + b * c) / (b * d) := by
rw [add_div, mul_div_mul_right _ b hd, hbc.eq, hbd.eq, mul_div_mul_right c d hb]
#align commute.div_add_div Commute.div_add_div
protected theorem Commute.one_div_add_one_div (hab : Commute a b) (ha : a ≠ 0) (hb : b ≠ 0) :
1 / a + 1 / b = (a + b) / (a * b) := by
rw [(Commute.one_right a).div_add_div hab ha hb, one_mul, mul_one, add_comm]
#align commute.one_div_add_one_div Commute.one_div_add_one_div
protected theorem Commute.inv_add_inv (hab : Commute a b) (ha : a ≠ 0) (hb : b ≠ 0) :
a⁻¹ + b⁻¹ = (a + b) / (a * b) := by
rw [inv_eq_one_div, inv_eq_one_div, hab.one_div_add_one_div ha hb]
#align commute.inv_add_inv Commute.inv_add_inv
end DivisionSemiring
section DivisionMonoid
variable [DivisionMonoid K] [HasDistribNeg K] {a b : K}
theorem one_div_neg_one_eq_neg_one : (1 : K) / -1 = -1 :=
have : -1 * -1 = (1 : K) := by rw [neg_mul_neg, one_mul]
Eq.symm (eq_one_div_of_mul_eq_one_right this)
#align one_div_neg_one_eq_neg_one one_div_neg_one_eq_neg_one
theorem one_div_neg_eq_neg_one_div (a : K) : 1 / -a = -(1 / a) :=
calc
1 / -a = 1 / (-1 * a) := by rw [neg_eq_neg_one_mul]
_ = 1 / a * (1 / -1) := by rw [one_div_mul_one_div_rev]
_ = 1 / a * -1 := by rw [one_div_neg_one_eq_neg_one]
_ = -(1 / a) := by rw [mul_neg, mul_one]
#align one_div_neg_eq_neg_one_div one_div_neg_eq_neg_one_div
| Mathlib/Algebra/Field/Basic.lean | 109 | 114 | theorem div_neg_eq_neg_div (a b : K) : b / -a = -(b / a) :=
calc
b / -a = b * (1 / -a) := by | rw [← inv_eq_one_div, division_def]
_ = b * -(1 / a) := by rw [one_div_neg_eq_neg_one_div]
_ = -(b * (1 / a)) := by rw [neg_mul_eq_mul_neg]
_ = -(b / a) := by rw [mul_one_div]
|
/-
Copyright (c) 2023 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Heather Macbeth
-/
import Mathlib.MeasureTheory.Constructions.Pi
import Mathlib.MeasureTheory.Integral.Lebesgue
/-!
# Marginals of multivariate functions
In this file, we define a convenient way to compute integrals of multivariate functions, especially
if you want to write expressions where you integrate only over some of the variables that the
function depends on. This is common in induction arguments involving integrals of multivariate
functions.
This constructions allows working with iterated integrals and applying Tonelli's theorem
and Fubini's theorem, without using measurable equivalences by changing the representation of your
space (e.g. `((ι ⊕ ι') → ℝ) ≃ (ι → ℝ) × (ι' → ℝ)`).
## Main Definitions
* Assume that `∀ i : ι, π i` is a product of measurable spaces with measures `μ i` on `π i`,
`f : (∀ i, π i) → ℝ≥0∞` is a function and `s : Finset ι`.
Then `lmarginal μ s f` or `∫⋯∫⁻_s, f ∂μ` is the function that integrates `f`
over all variables in `s`. It returns a function that still takes the same variables as `f`,
but is constant in the variables in `s`. Mathematically, if `s = {i₁, ..., iₖ}`,
then `lmarginal μ s f` is the expression
$$
\vec{x}\mapsto \int\!\!\cdots\!\!\int f(\vec{x}[\vec{y}])dy_{i_1}\cdots dy_{i_k}.
$$
where $\vec{x}[\vec{y}]$ is the vector $\vec{x}$ with $x_{i_j}$ replaced by $y_{i_j}$ for all
$1 \le j \le k$.
If `f` is the distribution of a random variable, this is the marginal distribution of all
variables not in `s` (but not the most general notion, since we only consider product measures
here).
Note that the notation `∫⋯∫⁻_s, f ∂μ` is not a binder, and returns a function.
## Main Results
* `lmarginal_union` is the analogue of Tonelli's theorem for iterated integrals. It states that
for measurable functions `f` and disjoint finsets `s` and `t` we have
`∫⋯∫⁻_s ∪ t, f ∂μ = ∫⋯∫⁻_s, ∫⋯∫⁻_t, f ∂μ ∂μ`.
## Implementation notes
The function `f` can have an arbitrary product as its domain (even infinite products), but the
set `s` of integration variables is a `Finset`. We are assuming that the function `f` is measurable
for most of this file. Note that asking whether it is `AEMeasurable` is not even well-posed,
since there is no well-behaved measure on the domain of `f`.
## Todo
* Define the marginal function for functions taking values in a Banach space.
-/
open scoped Classical ENNReal
open Set Function Equiv Finset
noncomputable section
namespace MeasureTheory
section LMarginal
variable {δ δ' : Type*} {π : δ → Type*} [∀ x, MeasurableSpace (π x)]
variable {μ : ∀ i, Measure (π i)} [∀ i, SigmaFinite (μ i)] [DecidableEq δ]
variable {s t : Finset δ} {f g : (∀ i, π i) → ℝ≥0∞} {x y : ∀ i, π i} {i : δ}
/-- Integrate `f(x₁,…,xₙ)` over all variables `xᵢ` where `i ∈ s`. Return a function in the
remaining variables (it will be constant in the `xᵢ` for `i ∈ s`).
This is the marginal distribution of all variables not in `s` when the considered measure
is the product measure. -/
def lmarginal (μ : ∀ i, Measure (π i)) (s : Finset δ) (f : (∀ i, π i) → ℝ≥0∞)
(x : ∀ i, π i) : ℝ≥0∞ :=
∫⁻ y : ∀ i : s, π i, f (updateFinset x s y) ∂Measure.pi fun i : s => μ i
-- Note: this notation is not a binder. This is more convenient since it returns a function.
@[inherit_doc]
notation "∫⋯∫⁻_" s ", " f " ∂" μ:70 => lmarginal μ s f
@[inherit_doc]
notation "∫⋯∫⁻_" s ", " f => lmarginal (fun _ ↦ volume) s f
variable (μ)
theorem _root_.Measurable.lmarginal (hf : Measurable f) : Measurable (∫⋯∫⁻_s, f ∂μ) := by
refine Measurable.lintegral_prod_right ?_
refine hf.comp ?_
rw [measurable_pi_iff]; intro i
by_cases hi : i ∈ s
· simp [hi, updateFinset]
exact measurable_pi_iff.1 measurable_snd _
· simp [hi, updateFinset]
exact measurable_pi_iff.1 measurable_fst _
@[simp] theorem lmarginal_empty (f : (∀ i, π i) → ℝ≥0∞) : ∫⋯∫⁻_∅, f ∂μ = f := by
ext1 x
simp_rw [lmarginal, Measure.pi_of_empty fun i : (∅ : Finset δ) => μ i]
apply lintegral_dirac'
exact Subsingleton.measurable
/-- The marginal distribution is independent of the variables in `s`. -/
theorem lmarginal_congr {x y : ∀ i, π i} (f : (∀ i, π i) → ℝ≥0∞)
(h : ∀ i ∉ s, x i = y i) :
(∫⋯∫⁻_s, f ∂μ) x = (∫⋯∫⁻_s, f ∂μ) y := by
dsimp [lmarginal, updateFinset_def]; rcongr; exact h _ ‹_›
| Mathlib/MeasureTheory/Integral/Marginal.lean | 110 | 116 | theorem lmarginal_update_of_mem {i : δ} (hi : i ∈ s)
(f : (∀ i, π i) → ℝ≥0∞) (x : ∀ i, π i) (y : π i) :
(∫⋯∫⁻_s, f ∂μ) (Function.update x i y) = (∫⋯∫⁻_s, f ∂μ) x := by |
apply lmarginal_congr
intro j hj
have : j ≠ i := by rintro rfl; exact hj hi
apply update_noteq this
|
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Anne Baanen
-/
import Mathlib.LinearAlgebra.Dimension.Basic
import Mathlib.SetTheory.Cardinal.ToNat
#align_import linear_algebra.finrank from "leanprover-community/mathlib"@"347636a7a80595d55bedf6e6fbd996a3c39da69a"
/-!
# Finite dimension of vector spaces
Definition of the rank of a module, or dimension of a vector space, as a natural number.
## Main definitions
Defined is `FiniteDimensional.finrank`, the dimension of a finite dimensional space, returning a
`Nat`, as opposed to `Module.rank`, which returns a `Cardinal`. When the space has infinite
dimension, its `finrank` is by convention set to `0`.
The definition of `finrank` does not assume a `FiniteDimensional` instance, but lemmas might.
Import `LinearAlgebra.FiniteDimensional` to get access to these additional lemmas.
Formulas for the dimension are given for linear equivs, in `LinearEquiv.finrank_eq`.
## Implementation notes
Most results are deduced from the corresponding results for the general dimension (as a cardinal),
in `Dimension.lean`. Not all results have been ported yet.
You should not assume that there has been any effort to state lemmas as generally as possible.
-/
universe u v w
open Cardinal Submodule Module Function
variable {R : Type u} {M : Type v} {N : Type w}
variable [Ring R] [AddCommGroup M] [Module R M] [AddCommGroup N] [Module R N]
namespace FiniteDimensional
section Ring
/-- The rank of a module as a natural number.
Defined by convention to be `0` if the space has infinite rank.
For a vector space `M` over a field `R`, this is the same as the finite dimension
of `M` over `R`.
-/
noncomputable def finrank (R M : Type*) [Semiring R] [AddCommGroup M] [Module R M] : ℕ :=
Cardinal.toNat (Module.rank R M)
#align finite_dimensional.finrank FiniteDimensional.finrank
theorem finrank_eq_of_rank_eq {n : ℕ} (h : Module.rank R M = ↑n) : finrank R M = n := by
apply_fun toNat at h
rw [toNat_natCast] at h
exact mod_cast h
#align finite_dimensional.finrank_eq_of_rank_eq FiniteDimensional.finrank_eq_of_rank_eq
lemma rank_eq_one_iff_finrank_eq_one : Module.rank R M = 1 ↔ finrank R M = 1 :=
Cardinal.toNat_eq_one.symm
/-- This is like `rank_eq_one_iff_finrank_eq_one` but works for `2`, `3`, `4`, ... -/
lemma rank_eq_ofNat_iff_finrank_eq_ofNat (n : ℕ) [Nat.AtLeastTwo n] :
Module.rank R M = OfNat.ofNat n ↔ finrank R M = OfNat.ofNat n :=
Cardinal.toNat_eq_ofNat.symm
theorem finrank_le_of_rank_le {n : ℕ} (h : Module.rank R M ≤ ↑n) : finrank R M ≤ n := by
rwa [← Cardinal.toNat_le_iff_le_of_lt_aleph0, toNat_natCast] at h
· exact h.trans_lt (nat_lt_aleph0 n)
· exact nat_lt_aleph0 n
#align finite_dimensional.finrank_le_of_rank_le FiniteDimensional.finrank_le_of_rank_le
theorem finrank_lt_of_rank_lt {n : ℕ} (h : Module.rank R M < ↑n) : finrank R M < n := by
rwa [← Cardinal.toNat_lt_iff_lt_of_lt_aleph0, toNat_natCast] at h
· exact h.trans (nat_lt_aleph0 n)
· exact nat_lt_aleph0 n
#align finite_dimensional.finrank_lt_of_rank_lt FiniteDimensional.finrank_lt_of_rank_lt
theorem lt_rank_of_lt_finrank {n : ℕ} (h : n < finrank R M) : ↑n < Module.rank R M := by
rwa [← Cardinal.toNat_lt_iff_lt_of_lt_aleph0, toNat_natCast]
· exact nat_lt_aleph0 n
· contrapose! h
rw [finrank, Cardinal.toNat_apply_of_aleph0_le h]
exact n.zero_le
#align finite_dimensional.rank_lt_of_finrank_lt FiniteDimensional.lt_rank_of_lt_finrank
| Mathlib/LinearAlgebra/Dimension/Finrank.lean | 92 | 93 | theorem one_lt_rank_of_one_lt_finrank (h : 1 < finrank R M) : 1 < Module.rank R M := by |
simpa using lt_rank_of_lt_finrank h
|
/-
Copyright (c) 2020 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers
-/
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Data.Fintype.BigOperators
import Mathlib.LinearAlgebra.AffineSpace.AffineMap
import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.Tactic.FinCases
#align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
/-!
# Affine combinations of points
This file defines affine combinations of points.
## Main definitions
* `weightedVSubOfPoint` is a general weighted combination of
subtractions with an explicit base point, yielding a vector.
* `weightedVSub` uses an arbitrary choice of base point and is intended
to be used when the sum of weights is 0, in which case the result is
independent of the choice of base point.
* `affineCombination` adds the weighted combination to the arbitrary
base point, yielding a point rather than a vector, and is intended
to be used when the sum of weights is 1, in which case the result is
independent of the choice of base point.
These definitions are for sums over a `Finset`; versions for a
`Fintype` may be obtained using `Finset.univ`, while versions for a
`Finsupp` may be obtained using `Finsupp.support`.
## References
* https://en.wikipedia.org/wiki/Affine_space
-/
noncomputable section
open Affine
namespace Finset
theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by
ext x
fin_cases x <;> simp
#align finset.univ_fin2 Finset.univ_fin2
variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [S : AffineSpace V P]
variable {ι : Type*} (s : Finset ι)
variable {ι₂ : Type*} (s₂ : Finset ι₂)
/-- A weighted sum of the results of subtracting a base point from the
given points, as a linear map on the weights. The main cases of
interest are where the sum of the weights is 0, in which case the sum
is independent of the choice of base point, and where the sum of the
weights is 1, in which case the sum added to the base point is
independent of the choice of base point. -/
def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V :=
∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b)
#align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint
@[simp]
theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) :
s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by
simp [weightedVSubOfPoint, LinearMap.sum_apply]
#align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply
/-- The value of `weightedVSubOfPoint`, where the given points are equal. -/
@[simp (high)]
theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) :
s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by
rw [weightedVSubOfPoint_apply, sum_smul]
#align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const
/-- `weightedVSubOfPoint` gives equal results for two families of weights and two families of
points that are equal on `s`. -/
theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) :
s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by
simp_rw [weightedVSubOfPoint_apply]
refine sum_congr rfl fun i hi => ?_
rw [hw i hi, hp i hi]
#align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr
/-- Given a family of points, if we use a member of the family as a base point, the
`weightedVSubOfPoint` does not depend on the value of the weights at this point. -/
theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k)
(hw : ∀ i, i ≠ j → w₁ i = w₂ i) :
s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by
simp only [Finset.weightedVSubOfPoint_apply]
congr
ext i
rcases eq_or_ne i j with h | h
· simp [h]
· simp [hw i h]
#align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq
/-- The weighted sum is independent of the base point when the sum of
the weights is 0. -/
| Mathlib/LinearAlgebra/AffineSpace/Combination.lean | 109 | 118 | theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by |
apply eq_of_sub_eq_zero
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib]
conv_lhs =>
congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, zero_smul]
|
/-
Copyright (c) 2019 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Kenny Lau
-/
import Mathlib.RingTheory.DiscreteValuationRing.Basic
import Mathlib.RingTheory.MvPowerSeries.Inverse
import Mathlib.RingTheory.PowerSeries.Basic
import Mathlib.RingTheory.PowerSeries.Order
#align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60"
/-! # Formal power series - Inverses
If the constant coefficient of a formal (univariate) power series is invertible,
then this formal power series is invertible.
(See the discussion in `Mathlib.RingTheory.MvPowerSeries.Inverse` for
the construction.)
Formal (univariate) power series over a local ring form a local ring.
Formal (univariate) power series over a field form a discrete valuation ring, and a normalization
monoid. The definition `residueFieldOfPowerSeries` provides the isomorphism between the residue
field of `k⟦X⟧` and `k`, when `k` is a field.
-/
noncomputable section
open Polynomial
open Finset (antidiagonal mem_antidiagonal)
namespace PowerSeries
open Finsupp (single)
variable {R : Type*}
section Ring
variable [Ring R]
/-- Auxiliary function used for computing inverse of a power series -/
protected def inv.aux : R → R⟦X⟧ → R⟦X⟧ :=
MvPowerSeries.inv.aux
#align power_series.inv.aux PowerSeries.inv.aux
| Mathlib/RingTheory/PowerSeries/Inverse.lean | 54 | 81 | theorem coeff_inv_aux (n : ℕ) (a : R) (φ : R⟦X⟧) :
coeff R n (inv.aux a φ) =
if n = 0 then a
else
-a *
∑ x ∈ antidiagonal n,
if x.2 < n then coeff R x.1 φ * coeff R x.2 (inv.aux a φ) else 0 := by |
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [coeff, inv.aux, MvPowerSeries.coeff_inv_aux]
simp only [Finsupp.single_eq_zero]
split_ifs; · rfl
congr 1
symm
apply Finset.sum_nbij' (fun (a, b) ↦ (single () a, single () b))
fun (f, g) ↦ (f (), g ())
· aesop
· aesop
· aesop
· aesop
· rintro ⟨i, j⟩ _hij
obtain H | H := le_or_lt n j
· aesop
rw [if_pos H, if_pos]
· rfl
refine ⟨?_, fun hh ↦ H.not_le ?_⟩
· rintro ⟨⟩
simpa [Finsupp.single_eq_same] using le_of_lt H
· simpa [Finsupp.single_eq_same] using hh ()
|
/-
Copyright (c) 2022 Violeta Hernández Palacios. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Violeta Hernández Palacios
-/
import Mathlib.SetTheory.Game.Ordinal
import Mathlib.SetTheory.Ordinal.NaturalOps
#align_import set_theory.game.birthday from "leanprover-community/mathlib"@"a347076985674932c0e91da09b9961ed0a79508c"
/-!
# Birthdays of games
The birthday of a game is an ordinal that represents at which "step" the game was constructed. We
define it recursively as the least ordinal larger than the birthdays of its left and right games. We
prove the basic properties about these.
# Main declarations
- `SetTheory.PGame.birthday`: The birthday of a pre-game.
# Todo
- Define the birthdays of `SetTheory.Game`s and `Surreal`s.
- Characterize the birthdays of basic arithmetical operations.
-/
universe u
open Ordinal
namespace SetTheory
open scoped NaturalOps PGame
namespace PGame
/-- The birthday of a pre-game is inductively defined as the least strict upper bound of the
birthdays of its left and right games. It may be thought as the "step" in which a certain game is
constructed. -/
noncomputable def birthday : PGame.{u} → Ordinal.{u}
| ⟨_, _, xL, xR⟩ =>
max (lsub.{u, u} fun i => birthday (xL i)) (lsub.{u, u} fun i => birthday (xR i))
#align pgame.birthday SetTheory.PGame.birthday
theorem birthday_def (x : PGame) :
birthday x =
max (lsub.{u, u} fun i => birthday (x.moveLeft i))
(lsub.{u, u} fun i => birthday (x.moveRight i)) := by
cases x; rw [birthday]; rfl
#align pgame.birthday_def SetTheory.PGame.birthday_def
theorem birthday_moveLeft_lt {x : PGame} (i : x.LeftMoves) :
(x.moveLeft i).birthday < x.birthday := by
cases x; rw [birthday]; exact lt_max_of_lt_left (lt_lsub _ i)
#align pgame.birthday_move_left_lt SetTheory.PGame.birthday_moveLeft_lt
theorem birthday_moveRight_lt {x : PGame} (i : x.RightMoves) :
(x.moveRight i).birthday < x.birthday := by
cases x; rw [birthday]; exact lt_max_of_lt_right (lt_lsub _ i)
#align pgame.birthday_move_right_lt SetTheory.PGame.birthday_moveRight_lt
theorem lt_birthday_iff {x : PGame} {o : Ordinal} :
o < x.birthday ↔
(∃ i : x.LeftMoves, o ≤ (x.moveLeft i).birthday) ∨
∃ i : x.RightMoves, o ≤ (x.moveRight i).birthday := by
constructor
· rw [birthday_def]
intro h
cases' lt_max_iff.1 h with h' h'
· left
rwa [lt_lsub_iff] at h'
· right
rwa [lt_lsub_iff] at h'
· rintro (⟨i, hi⟩ | ⟨i, hi⟩)
· exact hi.trans_lt (birthday_moveLeft_lt i)
· exact hi.trans_lt (birthday_moveRight_lt i)
#align pgame.lt_birthday_iff SetTheory.PGame.lt_birthday_iff
theorem Relabelling.birthday_congr : ∀ {x y : PGame.{u}}, x ≡r y → birthday x = birthday y
| ⟨xl, xr, xL, xR⟩, ⟨yl, yr, yL, yR⟩, r => by
unfold birthday
congr 1
all_goals
apply lsub_eq_of_range_eq.{u, u, u}
ext i; constructor
all_goals rintro ⟨j, rfl⟩
· exact ⟨_, (r.moveLeft j).birthday_congr.symm⟩
· exact ⟨_, (r.moveLeftSymm j).birthday_congr⟩
· exact ⟨_, (r.moveRight j).birthday_congr.symm⟩
· exact ⟨_, (r.moveRightSymm j).birthday_congr⟩
termination_by x y => (x, y)
#align pgame.relabelling.birthday_congr SetTheory.PGame.Relabelling.birthday_congr
@[simp]
theorem birthday_eq_zero {x : PGame} :
birthday x = 0 ↔ IsEmpty x.LeftMoves ∧ IsEmpty x.RightMoves := by
rw [birthday_def, max_eq_zero, lsub_eq_zero_iff, lsub_eq_zero_iff]
#align pgame.birthday_eq_zero SetTheory.PGame.birthday_eq_zero
@[simp]
theorem birthday_zero : birthday 0 = 0 := by simp [inferInstanceAs (IsEmpty PEmpty)]
#align pgame.birthday_zero SetTheory.PGame.birthday_zero
@[simp]
theorem birthday_one : birthday 1 = 1 := by rw [birthday_def]; simp
#align pgame.birthday_one SetTheory.PGame.birthday_one
@[simp]
| Mathlib/SetTheory/Game/Birthday.lean | 111 | 111 | theorem birthday_star : birthday star = 1 := by | rw [birthday_def]; simp
|
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Kenny Lau, Robert Y. Lewis
-/
import Mathlib.Algebra.Group.Defs
#align_import group_theory.eckmann_hilton from "leanprover-community/mathlib"@"41cf0cc2f528dd40a8f2db167ea4fb37b8fde7f3"
/-!
# Eckmann-Hilton argument
The Eckmann-Hilton argument says that if a type carries two monoid structures that distribute
over one another, then they are equal, and in addition commutative.
The main application lies in proving that higher homotopy groups (`πₙ` for `n ≥ 2`) are commutative.
## Main declarations
* `EckmannHilton.commMonoid`: If a type carries a unital magma structure that distributes
over a unital binary operation, then the magma is a commutative monoid.
* `EckmannHilton.commGroup`: If a type carries a group structure that distributes
over a unital binary operation, then the group is commutative.
-/
universe u
namespace EckmannHilton
variable {X : Type u}
/-- Local notation for `m a b`. -/
local notation a " <" m:51 "> " b => m a b
/-- `IsUnital m e` expresses that `e : X` is a left and right unit
for the binary operation `m : X → X → X`. -/
structure IsUnital (m : X → X → X) (e : X) extends Std.LawfulIdentity m e : Prop
#align eckmann_hilton.is_unital EckmannHilton.IsUnital
@[to_additive EckmannHilton.AddZeroClass.IsUnital]
theorem MulOneClass.isUnital [_G : MulOneClass X] : IsUnital (· * ·) (1 : X) :=
IsUnital.mk { left_id := MulOneClass.one_mul,
right_id := MulOneClass.mul_one }
#align eckmann_hilton.mul_one_class.is_unital EckmannHilton.MulOneClass.isUnital
#align eckmann_hilton.add_zero_class.is_unital EckmannHilton.AddZeroClass.IsUnital
variable {m₁ m₂ : X → X → X} {e₁ e₂ : X}
variable (h₁ : IsUnital m₁ e₁) (h₂ : IsUnital m₂ e₂)
variable (distrib : ∀ a b c d, ((a <m₂> b) <m₁> c <m₂> d) = (a <m₁> c) <m₂> b <m₁> d)
/-- If a type carries two unital binary operations that distribute over each other,
then they have the same unit elements.
In fact, the two operations are the same, and give a commutative monoid structure,
see `eckmann_hilton.CommMonoid`. -/
| Mathlib/GroupTheory/EckmannHilton.lean | 56 | 57 | theorem one : e₁ = e₂ := by |
simpa only [h₁.left_id, h₁.right_id, h₂.left_id, h₂.right_id] using distrib e₂ e₁ e₁ e₂
|
/-
Copyright (c) 2021 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Batteries.Data.Array.Lemmas
import Batteries.Tactic.Lint.Misc
namespace Batteries
/-- Union-find node type -/
structure UFNode where
/-- Parent of node -/
parent : Nat
/-- Rank of node -/
rank : Nat
namespace UnionFind
/-- Panic with return value -/
def panicWith (v : α) (msg : String) : α := @panic α ⟨v⟩ msg
@[simp] theorem panicWith_eq (v : α) (msg) : panicWith v msg = v := rfl
/-- Parent of a union-find node, defaults to self when the node is a root -/
def parentD (arr : Array UFNode) (i : Nat) : Nat :=
if h : i < arr.size then (arr.get ⟨i, h⟩).parent else i
/-- Rank of a union-find node, defaults to 0 when the node is a root -/
def rankD (arr : Array UFNode) (i : Nat) : Nat :=
if h : i < arr.size then (arr.get ⟨i, h⟩).rank else 0
theorem parentD_eq {arr : Array UFNode} {i} : parentD arr i.1 = (arr.get i).parent := dif_pos _
theorem parentD_eq' {arr : Array UFNode} {i} (h) :
parentD arr i = (arr.get ⟨i, h⟩).parent := dif_pos _
theorem rankD_eq {arr : Array UFNode} {i} : rankD arr i.1 = (arr.get i).rank := dif_pos _
theorem rankD_eq' {arr : Array UFNode} {i} (h) : rankD arr i = (arr.get ⟨i, h⟩).rank := dif_pos _
theorem parentD_of_not_lt : ¬i < arr.size → parentD arr i = i := (dif_neg ·)
theorem lt_of_parentD : parentD arr i ≠ i → i < arr.size :=
Decidable.not_imp_comm.1 parentD_of_not_lt
theorem parentD_set {arr : Array UFNode} {x v i} :
parentD (arr.set x v) i = if x.1 = i then v.parent else parentD arr i := by
rw [parentD]; simp [Array.get_eq_getElem, parentD]
split <;> [split <;> simp [Array.get_set, *]; split <;> [(subst i; cases ‹¬_› x.2); rfl]]
theorem rankD_set {arr : Array UFNode} {x v i} :
rankD (arr.set x v) i = if x.1 = i then v.rank else rankD arr i := by
rw [rankD]; simp [Array.get_eq_getElem, rankD]
split <;> [split <;> simp [Array.get_set, *]; split <;> [(subst i; cases ‹¬_› x.2); rfl]]
end UnionFind
open UnionFind
/-- ### Union-find data structure
The `UnionFind` structure is an implementation of disjoint-set data structure
that uses path compression to make the primary operations run in amortized
nearly linear time. The nodes of a `UnionFind` structure `s` are natural
numbers smaller than `s.size`. The structure associates with a canonical
representative from its equivalence class. The structure can be extended
using the `push` operation and equivalence classes can be updated using the
`union` operation.
The main operations for `UnionFind` are:
* `empty`/`mkEmpty` are used to create a new empty structure.
* `size` returns the size of the data structure.
* `push` adds a new node to a structure, unlinked to any other node.
* `union` links two nodes of the data structure, joining their equivalence
classes, and performs path compression.
* `find` returns the canonical representative of a node and updates the data
structure using path compression.
* `root` returns the canonical representative of a node without altering the
data structure.
* `checkEquiv` checks whether two nodes have the same canonical representative
and updates the structure using path compression.
Most use cases should prefer `find` over `root` to benefit from the speedup from path-compression.
The main operations use `Fin s.size` to represent nodes of the union-find structure.
Some alternatives are provided:
* `unionN`, `findN`, `rootN`, `checkEquivN` use `Fin n` with a proof that `n = s.size`.
* `union!`, `find!`, `root!`, `checkEquiv!` use `Nat` and panic when the indices are out of bounds.
* `findD`, `rootD`, `checkEquivD` use `Nat` and treat out of bound indices as isolated nodes.
The noncomputable relation `UnionFind.Equiv` is provided to use the equivalence relation from a
`UnionFind` structure in the context of proofs.
-/
structure UnionFind where
/-- Array of union-find nodes -/
arr : Array UFNode
/-- Validity for parent nodes -/
parentD_lt : ∀ {i}, i < arr.size → parentD arr i < arr.size
/-- Validity for rank -/
rankD_lt : ∀ {i}, parentD arr i ≠ i → rankD arr i < rankD arr (parentD arr i)
namespace UnionFind
/-- Size of union-find structure. -/
@[inline] abbrev size (self : UnionFind) := self.arr.size
/-- Create an empty union-find structure with specific capacity -/
def mkEmpty (c : Nat) : UnionFind where
arr := Array.mkEmpty c
parentD_lt := nofun
rankD_lt := nofun
/-- Empty union-find structure -/
def empty := mkEmpty 0
instance : EmptyCollection UnionFind := ⟨.empty⟩
/-- Parent of union-find node -/
abbrev parent (self : UnionFind) (i : Nat) : Nat := parentD self.arr i
theorem parent'_lt (self : UnionFind) (i : Fin self.size) :
(self.arr.get i).parent < self.size := by
simp only [← parentD_eq, parentD_lt, Fin.is_lt, Array.data_length]
theorem parent_lt (self : UnionFind) (i : Nat) : self.parent i < self.size ↔ i < self.size := by
simp only [parentD]; split <;> simp only [*, parent'_lt]
/-- Rank of union-find node -/
abbrev rank (self : UnionFind) (i : Nat) : Nat := rankD self.arr i
| .lake/packages/batteries/Batteries/Data/UnionFind/Basic.lean | 134 | 135 | theorem rank_lt {self : UnionFind} {i : Nat} : self.parent i ≠ i →
self.rank i < self.rank (self.parent i) := by | simpa only [rank] using self.rankD_lt
|
/-
Copyright (c) 2021 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Algebra.Polynomial.HasseDeriv
#align_import data.polynomial.taylor from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
/-!
# Taylor expansions of polynomials
## Main declarations
* `Polynomial.taylor`: the Taylor expansion of the polynomial `f` at `r`
* `Polynomial.taylor_coeff`: the `k`th coefficient of `taylor r f` is
`(Polynomial.hasseDeriv k f).eval r`
* `Polynomial.eq_zero_of_hasseDeriv_eq_zero`:
the identity principle: a polynomial is 0 iff all its Hasse derivatives are zero
-/
noncomputable section
namespace Polynomial
open Polynomial
variable {R : Type*} [Semiring R] (r : R) (f : R[X])
/-- The Taylor expansion of a polynomial `f` at `r`. -/
def taylor (r : R) : R[X] →ₗ[R] R[X] where
toFun f := f.comp (X + C r)
map_add' f g := add_comp
map_smul' c f := by simp only [smul_eq_C_mul, C_mul_comp, RingHom.id_apply]
#align polynomial.taylor Polynomial.taylor
theorem taylor_apply : taylor r f = f.comp (X + C r) :=
rfl
#align polynomial.taylor_apply Polynomial.taylor_apply
@[simp]
theorem taylor_X : taylor r X = X + C r := by simp only [taylor_apply, X_comp]
set_option linter.uppercaseLean3 false in
#align polynomial.taylor_X Polynomial.taylor_X
@[simp]
theorem taylor_C (x : R) : taylor r (C x) = C x := by simp only [taylor_apply, C_comp]
set_option linter.uppercaseLean3 false in
#align polynomial.taylor_C Polynomial.taylor_C
@[simp]
theorem taylor_zero' : taylor (0 : R) = LinearMap.id := by
ext
simp only [taylor_apply, add_zero, comp_X, _root_.map_zero, LinearMap.id_comp,
Function.comp_apply, LinearMap.coe_comp]
#align polynomial.taylor_zero' Polynomial.taylor_zero'
theorem taylor_zero (f : R[X]) : taylor 0 f = f := by rw [taylor_zero', LinearMap.id_apply]
#align polynomial.taylor_zero Polynomial.taylor_zero
@[simp]
theorem taylor_one : taylor r (1 : R[X]) = C 1 := by rw [← C_1, taylor_C]
#align polynomial.taylor_one Polynomial.taylor_one
@[simp]
theorem taylor_monomial (i : ℕ) (k : R) : taylor r (monomial i k) = C k * (X + C r) ^ i := by
simp [taylor_apply]
#align polynomial.taylor_monomial Polynomial.taylor_monomial
/-- The `k`th coefficient of `Polynomial.taylor r f` is `(Polynomial.hasseDeriv k f).eval r`. -/
theorem taylor_coeff (n : ℕ) : (taylor r f).coeff n = (hasseDeriv n f).eval r :=
show (lcoeff R n).comp (taylor r) f = (leval r).comp (hasseDeriv n) f by
congr 1; clear! f; ext i
simp only [leval_apply, mul_one, one_mul, eval_monomial, LinearMap.comp_apply, coeff_C_mul,
hasseDeriv_monomial, taylor_apply, monomial_comp, C_1, (commute_X (C r)).add_pow i,
map_sum]
simp only [lcoeff_apply, ← C_eq_natCast, mul_assoc, ← C_pow, ← C_mul, coeff_mul_C,
(Nat.cast_commute _ _).eq, coeff_X_pow, boole_mul, Finset.sum_ite_eq, Finset.mem_range]
split_ifs with h; · rfl
push_neg at h; rw [Nat.choose_eq_zero_of_lt h, Nat.cast_zero, mul_zero]
#align polynomial.taylor_coeff Polynomial.taylor_coeff
@[simp]
| Mathlib/Algebra/Polynomial/Taylor.lean | 88 | 89 | theorem taylor_coeff_zero : (taylor r f).coeff 0 = f.eval r := by |
rw [taylor_coeff, hasseDeriv_zero, LinearMap.id_apply]
|
/-
Copyright (c) 2019 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen, Eric Wieser
-/
import Mathlib.Data.Matrix.Basic
/-!
# Row and column matrices
This file provides results about row and column matrices
## Main definitions
* `Matrix.row r : Matrix Unit n α`: a matrix with a single row
* `Matrix.col c : Matrix m Unit α`: a matrix with a single column
* `Matrix.updateRow M i r`: update the `i`th row of `M` to `r`
* `Matrix.updateCol M j c`: update the `j`th column of `M` to `c`
-/
variable {l m n o : Type*}
universe u v w
variable {R : Type*} {α : Type v} {β : Type w}
namespace Matrix
/-- `Matrix.col u` is the column matrix whose entries are given by `u`. -/
def col (w : m → α) : Matrix m Unit α :=
of fun x _ => w x
#align matrix.col Matrix.col
-- TODO: set as an equation lemma for `col`, see mathlib4#3024
@[simp]
theorem col_apply (w : m → α) (i j) : col w i j = w i :=
rfl
#align matrix.col_apply Matrix.col_apply
/-- `Matrix.row u` is the row matrix whose entries are given by `u`. -/
def row (v : n → α) : Matrix Unit n α :=
of fun _ y => v y
#align matrix.row Matrix.row
-- TODO: set as an equation lemma for `row`, see mathlib4#3024
@[simp]
theorem row_apply (v : n → α) (i j) : row v i j = v j :=
rfl
#align matrix.row_apply Matrix.row_apply
theorem col_injective : Function.Injective (col : (m → α) → _) :=
fun _x _y h => funext fun i => congr_fun₂ h i ()
@[simp] theorem col_inj {v w : m → α} : col v = col w ↔ v = w := col_injective.eq_iff
@[simp] theorem col_zero [Zero α] : col (0 : m → α) = 0 := rfl
@[simp] theorem col_eq_zero [Zero α] (v : m → α) : col v = 0 ↔ v = 0 := col_inj
@[simp]
theorem col_add [Add α] (v w : m → α) : col (v + w) = col v + col w := by
ext
rfl
#align matrix.col_add Matrix.col_add
@[simp]
theorem col_smul [SMul R α] (x : R) (v : m → α) : col (x • v) = x • col v := by
ext
rfl
#align matrix.col_smul Matrix.col_smul
theorem row_injective : Function.Injective (row : (n → α) → _) :=
fun _x _y h => funext fun j => congr_fun₂ h () j
@[simp] theorem row_inj {v w : n → α} : row v = row w ↔ v = w := row_injective.eq_iff
@[simp] theorem row_zero [Zero α] : row (0 : n → α) = 0 := rfl
@[simp] theorem row_eq_zero [Zero α] (v : n → α) : row v = 0 ↔ v = 0 := row_inj
@[simp]
theorem row_add [Add α] (v w : m → α) : row (v + w) = row v + row w := by
ext
rfl
#align matrix.row_add Matrix.row_add
@[simp]
theorem row_smul [SMul R α] (x : R) (v : m → α) : row (x • v) = x • row v := by
ext
rfl
#align matrix.row_smul Matrix.row_smul
@[simp]
theorem transpose_col (v : m → α) : (Matrix.col v)ᵀ = Matrix.row v := by
ext
rfl
#align matrix.transpose_col Matrix.transpose_col
@[simp]
| Mathlib/Data/Matrix/RowCol.lean | 100 | 102 | theorem transpose_row (v : m → α) : (Matrix.row v)ᵀ = Matrix.col v := by |
ext
rfl
|
/-
Copyright (c) 2022 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
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⟩
/-! ### clamp -/
@[simp] theorem coe_clamp (n m : Nat) : (clamp n m : Nat) = min n m := rfl
/-! ### enum/list -/
@[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]
/-! ### foldl -/
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]
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 _)]
theorem foldl_loop (f : α → Fin (n+1) → α) (x) (h : m < n+1) :
foldl.loop (n+1) f x m = foldl.loop n (fun x i => f x i.succ) (f x ⟨m, h⟩) m := by
if h' : m < n then
rw [foldl_loop_lt _ _ h, foldl_loop_lt _ _ h', foldl_loop]; rfl
else
cases Nat.le_antisymm (Nat.le_of_lt_succ h) (Nat.not_lt.1 h')
rw [foldl_loop_lt, foldl_loop_eq, foldl_loop_eq]
termination_by n - m
@[simp] theorem foldl_zero (f : α → Fin 0 → α) (x) : foldl 0 f x = x := by simp [foldl, foldl.loop]
theorem foldl_succ (f : α → Fin (n+1) → α) (x) :
foldl (n+1) f x = foldl n (fun x i => f x i.succ) (f x 0) := foldl_loop ..
theorem foldl_succ_last (f : α → Fin (n+1) → α) (x) :
foldl (n+1) f x = f (foldl n (f · ·.castSucc) x) (last n) := by
rw [foldl_succ]
induction n generalizing x with
| zero => simp [foldl_succ, Fin.last]
| succ n ih => rw [foldl_succ, ih (f · ·.succ), foldl_succ]; simp [succ_castSucc]
theorem foldl_eq_foldl_list (f : α → Fin n → α) (x) : foldl n f x = (list n).foldl f x := by
induction n generalizing x with
| zero => rw [foldl_zero, list_zero, List.foldl_nil]
| succ n ih => rw [foldl_succ, ih, list_succ, List.foldl_cons, List.foldl_map]
/-! ### foldr -/
unseal foldr.loop in
theorem foldr_loop_zero (f : Fin n → α → α) (x) : foldr.loop n f ⟨0, Nat.zero_le _⟩ x = x :=
rfl
unseal foldr.loop in
theorem foldr_loop_succ (f : Fin n → α → α) (x) (h : m < n) :
foldr.loop n f ⟨m+1, h⟩ x = foldr.loop n f ⟨m, Nat.le_of_lt h⟩ (f ⟨m, h⟩ x) :=
rfl
| .lake/packages/batteries/Batteries/Data/Fin/Lemmas.lean | 103 | 108 | theorem foldr_loop (f : Fin (n+1) → α → α) (x) (h : m+1 ≤ n+1) :
foldr.loop (n+1) f ⟨m+1, h⟩ x =
f 0 (foldr.loop n (fun i => f i.succ) ⟨m, Nat.le_of_succ_le_succ h⟩ x) := by |
induction m generalizing x with
| zero => simp [foldr_loop_zero, foldr_loop_succ]
| succ m ih => rw [foldr_loop_succ, ih, foldr_loop_succ, Fin.succ]
|
/-
Copyright (c) 2022 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Topology.MetricSpace.HausdorffDistance
#align_import topology.metric_space.pi_nat from "leanprover-community/mathlib"@"49b7f94aab3a3bdca1f9f34c5d818afb253b3993"
/-!
# Topological study of spaces `Π (n : ℕ), E n`
When `E n` are topological spaces, the space `Π (n : ℕ), E n` is naturally a topological space
(with the product topology). When `E n` are uniform spaces, it also inherits a uniform structure.
However, it does not inherit a canonical metric space structure of the `E n`. Nevertheless, one
can put a noncanonical metric space structure (or rather, several of them). This is done in this
file.
## Main definitions and results
One can define a combinatorial distance on `Π (n : ℕ), E n`, as follows:
* `PiNat.cylinder x n` is the set of points `y` with `x i = y i` for `i < n`.
* `PiNat.firstDiff x y` is the first index at which `x i ≠ y i`.
* `PiNat.dist x y` is equal to `(1/2) ^ (firstDiff x y)`. It defines a distance
on `Π (n : ℕ), E n`, compatible with the topology when the `E n` have the discrete topology.
* `PiNat.metricSpace`: the metric space structure, given by this distance. Not registered as an
instance. This space is a complete metric space.
* `PiNat.metricSpaceOfDiscreteUniformity`: the same metric space structure, but adjusting the
uniformity defeqness when the `E n` already have the discrete uniformity. Not registered as an
instance
* `PiNat.metricSpaceNatNat`: the particular case of `ℕ → ℕ`, not registered as an instance.
These results are used to construct continuous functions on `Π n, E n`:
* `PiNat.exists_retraction_of_isClosed`: given a nonempty closed subset `s` of `Π (n : ℕ), E n`,
there exists a retraction onto `s`, i.e., a continuous map from the whole space to `s`
restricting to the identity on `s`.
* `exists_nat_nat_continuous_surjective_of_completeSpace`: given any nonempty complete metric
space with second-countable topology, there exists a continuous surjection from `ℕ → ℕ` onto
this space.
One can also put distances on `Π (i : ι), E i` when the spaces `E i` are metric spaces (not discrete
in general), and `ι` is countable.
* `PiCountable.dist` is the distance on `Π i, E i` given by
`dist x y = ∑' i, min (1/2)^(encode i) (dist (x i) (y i))`.
* `PiCountable.metricSpace` is the corresponding metric space structure, adjusted so that
the uniformity is definitionally the product uniformity. Not registered as an instance.
-/
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
/-! ### The firstDiff function -/
/-- In a product space `Π n, E n`, then `firstDiff x y` is the first index at which `x` and `y`
differ. If `x = y`, then by convention we set `firstDiff x x = 0`. -/
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
/-! ### Cylinders -/
/-- In a product space `Π n, E n`, the cylinder set of length `n` around `x`, denoted
`cylinder x n`, is the set of sequences `y` that coincide with `x` on the first `n` symbols, i.e.,
such that `y i = x i` for all `i < n`.
-/
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
| Mathlib/Topology/MetricSpace/PiNat.lean | 131 | 131 | theorem self_mem_cylinder (x : ∀ n, E n) (n : ℕ) : x ∈ cylinder x n := by | simp
|
/-
Copyright (c) 2020 Kyle Miller. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kyle Miller
-/
import Mathlib.Combinatorics.SimpleGraph.Basic
/-!
# Darts in graphs
A `Dart` or half-edge or bond in a graph is an ordered pair of adjacent vertices, regarded as an
oriented edge. This file defines darts and proves some of their basic properties.
-/
namespace SimpleGraph
variable {V : Type*} (G : SimpleGraph V)
/-- A `Dart` is an oriented edge, implemented as an ordered pair of adjacent vertices.
This terminology comes from combinatorial maps, and they are also known as "half-edges"
or "bonds." -/
structure Dart extends V × V where
adj : G.Adj fst snd
deriving DecidableEq
#align simple_graph.dart SimpleGraph.Dart
initialize_simps_projections Dart (+toProd, -fst, -snd)
attribute [simp] Dart.adj
variable {G}
theorem Dart.ext_iff (d₁ d₂ : G.Dart) : d₁ = d₂ ↔ d₁.toProd = d₂.toProd := by
cases d₁; cases d₂; simp
#align simple_graph.dart.ext_iff SimpleGraph.Dart.ext_iff
@[ext]
theorem Dart.ext (d₁ d₂ : G.Dart) (h : d₁.toProd = d₂.toProd) : d₁ = d₂ :=
(Dart.ext_iff d₁ d₂).mpr h
#align simple_graph.dart.ext SimpleGraph.Dart.ext
-- Porting note: deleted `Dart.fst` and `Dart.snd` since they are now invalid declaration names,
-- even though there is not actually a `SimpleGraph.Dart.fst` or `SimpleGraph.Dart.snd`.
theorem Dart.toProd_injective : Function.Injective (Dart.toProd : G.Dart → V × V) :=
Dart.ext
#align simple_graph.dart.to_prod_injective SimpleGraph.Dart.toProd_injective
instance Dart.fintype [Fintype V] [DecidableRel G.Adj] : Fintype G.Dart :=
Fintype.ofEquiv (Σ v, G.neighborSet v)
{ toFun := fun s => ⟨(s.fst, s.snd), s.snd.property⟩
invFun := fun d => ⟨d.fst, d.snd, d.adj⟩
left_inv := fun s => by ext <;> simp
right_inv := fun d => by ext <;> simp }
#align simple_graph.dart.fintype SimpleGraph.Dart.fintype
/-- The edge associated to the dart. -/
def Dart.edge (d : G.Dart) : Sym2 V :=
Sym2.mk d.toProd
#align simple_graph.dart.edge SimpleGraph.Dart.edge
@[simp]
theorem Dart.edge_mk {p : V × V} (h : G.Adj p.1 p.2) : (Dart.mk p h).edge = Sym2.mk p :=
rfl
#align simple_graph.dart.edge_mk SimpleGraph.Dart.edge_mk
@[simp]
theorem Dart.edge_mem (d : G.Dart) : d.edge ∈ G.edgeSet :=
d.adj
#align simple_graph.dart.edge_mem SimpleGraph.Dart.edge_mem
/-- The dart with reversed orientation from a given dart. -/
@[simps]
def Dart.symm (d : G.Dart) : G.Dart :=
⟨d.toProd.swap, G.symm d.adj⟩
#align simple_graph.dart.symm SimpleGraph.Dart.symm
@[simp]
theorem Dart.symm_mk {p : V × V} (h : G.Adj p.1 p.2) : (Dart.mk p h).symm = Dart.mk p.swap h.symm :=
rfl
#align simple_graph.dart.symm_mk SimpleGraph.Dart.symm_mk
@[simp]
theorem Dart.edge_symm (d : G.Dart) : d.symm.edge = d.edge :=
Sym2.mk_prod_swap_eq
#align simple_graph.dart.edge_symm SimpleGraph.Dart.edge_symm
@[simp]
theorem Dart.edge_comp_symm : Dart.edge ∘ Dart.symm = (Dart.edge : G.Dart → Sym2 V) :=
funext Dart.edge_symm
#align simple_graph.dart.edge_comp_symm SimpleGraph.Dart.edge_comp_symm
@[simp]
theorem Dart.symm_symm (d : G.Dart) : d.symm.symm = d :=
Dart.ext _ _ <| Prod.swap_swap _
#align simple_graph.dart.symm_symm SimpleGraph.Dart.symm_symm
@[simp]
theorem Dart.symm_involutive : Function.Involutive (Dart.symm : G.Dart → G.Dart) :=
Dart.symm_symm
#align simple_graph.dart.symm_involutive SimpleGraph.Dart.symm_involutive
theorem Dart.symm_ne (d : G.Dart) : d.symm ≠ d :=
ne_of_apply_ne (Prod.snd ∘ Dart.toProd) d.adj.ne
#align simple_graph.dart.symm_ne SimpleGraph.Dart.symm_ne
| Mathlib/Combinatorics/SimpleGraph/Dart.lean | 107 | 109 | theorem dart_edge_eq_iff : ∀ d₁ d₂ : G.Dart, d₁.edge = d₂.edge ↔ d₁ = d₂ ∨ d₁ = d₂.symm := by |
rintro ⟨p, hp⟩ ⟨q, hq⟩
simp
|
/-
Copyright (c) 2014 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Algebra.Group.Support
import Mathlib.Algebra.Order.Monoid.WithTop
import Mathlib.Data.Nat.Cast.Field
#align_import algebra.char_zero.lemmas from "leanprover-community/mathlib"@"acee671f47b8e7972a1eb6f4eed74b4b3abce829"
/-!
# Characteristic zero (additional theorems)
A ring `R` is called of characteristic zero if every natural number `n` is non-zero when considered
as an element of `R`. Since this definition doesn't mention the multiplicative structure of `R`
except for the existence of `1` in this file characteristic zero is defined for additive monoids
with `1`.
## Main statements
* Characteristic zero implies that the additive monoid is infinite.
-/
open Function Set
namespace Nat
variable {R : Type*} [AddMonoidWithOne R] [CharZero R]
/-- `Nat.cast` as an embedding into monoids of characteristic `0`. -/
@[simps]
def castEmbedding : ℕ ↪ R :=
⟨Nat.cast, cast_injective⟩
#align nat.cast_embedding Nat.castEmbedding
#align nat.cast_embedding_apply Nat.castEmbedding_apply
@[simp]
theorem cast_pow_eq_one {R : Type*} [Semiring R] [CharZero R] (q : ℕ) (n : ℕ) (hn : n ≠ 0) :
(q : R) ^ n = 1 ↔ q = 1 := by
rw [← cast_pow, cast_eq_one]
exact pow_eq_one_iff hn
#align nat.cast_pow_eq_one Nat.cast_pow_eq_one
@[simp, norm_cast]
theorem cast_div_charZero {k : Type*} [DivisionSemiring k] [CharZero k] {m n : ℕ} (n_dvd : n ∣ m) :
((m / n : ℕ) : k) = m / n := by
rcases eq_or_ne n 0 with (rfl | hn)
· simp
· exact cast_div n_dvd (cast_ne_zero.2 hn)
#align nat.cast_div_char_zero Nat.cast_div_charZero
end Nat
section AddMonoidWithOne
variable {α M : Type*} [AddMonoidWithOne M] [CharZero M] {n : ℕ}
instance CharZero.NeZero.two : NeZero (2 : M) :=
⟨by
have : ((2 : ℕ) : M) ≠ 0 := Nat.cast_ne_zero.2 (by decide)
rwa [Nat.cast_two] at this⟩
#align char_zero.ne_zero.two CharZero.NeZero.two
namespace Function
lemma support_natCast (hn : n ≠ 0) : support (n : α → M) = univ :=
support_const <| Nat.cast_ne_zero.2 hn
#align function.support_nat_cast Function.support_natCast
@[deprecated (since := "2024-04-17")]
alias support_nat_cast := support_natCast
lemma mulSupport_natCast (hn : n ≠ 1) : mulSupport (n : α → M) = univ :=
mulSupport_const <| Nat.cast_ne_one.2 hn
#align function.mul_support_nat_cast Function.mulSupport_natCast
@[deprecated (since := "2024-04-17")]
alias mulSupport_nat_cast := mulSupport_natCast
end Function
end AddMonoidWithOne
section
variable {R : Type*} [NonAssocSemiring R] [NoZeroDivisors R] [CharZero R] {a : R}
@[simp]
theorem add_self_eq_zero {a : R} : a + a = 0 ↔ a = 0 := by
simp only [(two_mul a).symm, mul_eq_zero, two_ne_zero, false_or_iff]
#align add_self_eq_zero add_self_eq_zero
set_option linter.deprecated false
@[simp]
theorem bit0_eq_zero {a : R} : bit0 a = 0 ↔ a = 0 :=
add_self_eq_zero
#align bit0_eq_zero bit0_eq_zero
@[simp]
theorem zero_eq_bit0 {a : R} : 0 = bit0 a ↔ a = 0 := by
rw [eq_comm]
exact bit0_eq_zero
#align zero_eq_bit0 zero_eq_bit0
theorem bit0_ne_zero : bit0 a ≠ 0 ↔ a ≠ 0 :=
bit0_eq_zero.not
#align bit0_ne_zero bit0_ne_zero
theorem zero_ne_bit0 : 0 ≠ bit0 a ↔ a ≠ 0 :=
zero_eq_bit0.not
#align zero_ne_bit0 zero_ne_bit0
end
section
variable {R : Type*} [NonAssocRing R] [NoZeroDivisors R] [CharZero R]
@[simp] theorem neg_eq_self_iff {a : R} : -a = a ↔ a = 0 :=
neg_eq_iff_add_eq_zero.trans add_self_eq_zero
#align neg_eq_self_iff neg_eq_self_iff
@[simp] theorem eq_neg_self_iff {a : R} : a = -a ↔ a = 0 :=
eq_neg_iff_add_eq_zero.trans add_self_eq_zero
#align eq_neg_self_iff eq_neg_self_iff
| Mathlib/Algebra/CharZero/Lemmas.lean | 127 | 129 | theorem nat_mul_inj {n : ℕ} {a b : R} (h : (n : R) * a = (n : R) * b) : n = 0 ∨ a = b := by |
rw [← sub_eq_zero, ← mul_sub, mul_eq_zero, sub_eq_zero] at h
exact mod_cast h
|
/-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Algebra.Lie.Submodule
#align_import algebra.lie.ideal_operations from "leanprover-community/mathlib"@"8983bec7cdf6cb2dd1f21315c8a34ab00d7b2f6d"
/-!
# Ideal operations for Lie algebras
Given a Lie module `M` over a Lie algebra `L`, there is a natural action of the Lie ideals of `L`
on the Lie submodules of `M`. In the special case that `M = L` with the adjoint action, this
provides a pairing of Lie ideals which is especially important. For example, it can be used to
define solvability / nilpotency of a Lie algebra via the derived / lower-central series.
## Main definitions
* `LieSubmodule.hasBracket`
* `LieSubmodule.lieIdeal_oper_eq_linear_span`
* `LieIdeal.map_bracket_le`
* `LieIdeal.comap_bracket_le`
## Notation
Given a Lie module `M` over a Lie algebra `L`, together with a Lie submodule `N ⊆ M` and a Lie
ideal `I ⊆ L`, we introduce the notation `⁅I, N⁆` for the Lie submodule of `M` corresponding to
the action defined in this file.
## Tags
lie algebra, ideal operation
-/
universe u v w w₁ w₂
namespace LieSubmodule
variable {R : Type u} {L : Type v} {M : Type w} {M₂ : 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 M₂] [Module R M₂] [LieRingModule L M₂] [LieModule R L M₂]
variable (N N' : LieSubmodule R L M) (I J : LieIdeal R L) (N₂ : LieSubmodule R L M₂)
section LieIdealOperations
/-- Given a Lie module `M` over a Lie algebra `L`, the set of Lie ideals of `L` acts on the set
of submodules of `M`. -/
instance hasBracket : Bracket (LieIdeal R L) (LieSubmodule R L M) :=
⟨fun I N => lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m }⟩
#align lie_submodule.has_bracket LieSubmodule.hasBracket
theorem lieIdeal_oper_eq_span :
⁅I, N⁆ = lieSpan R L { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } :=
rfl
#align lie_submodule.lie_ideal_oper_eq_span LieSubmodule.lieIdeal_oper_eq_span
/-- See also `LieSubmodule.lieIdeal_oper_eq_linear_span'` and
`LieSubmodule.lieIdeal_oper_eq_tensor_map_range`. -/
| Mathlib/Algebra/Lie/IdealOperations.lean | 62 | 81 | theorem lieIdeal_oper_eq_linear_span :
(↑⁅I, N⁆ : Submodule R M) =
Submodule.span R { m | ∃ (x : I) (n : N), ⁅(x : L), (n : M)⁆ = m } := by |
apply le_antisymm
· let s := { m : M | ∃ (x : ↥I) (n : ↥N), ⁅(x : L), (n : M)⁆ = m }
have aux : ∀ (y : L), ∀ m' ∈ Submodule.span R s, ⁅y, m'⁆ ∈ Submodule.span R s := by
intro y m' hm'
refine Submodule.span_induction (R := R) (M := M) (s := s)
(p := fun m' ↦ ⁅y, m'⁆ ∈ Submodule.span R s) hm' ?_ ?_ ?_ ?_
· rintro m'' ⟨x, n, hm''⟩; rw [← hm'', leibniz_lie]
refine Submodule.add_mem _ ?_ ?_ <;> apply Submodule.subset_span
· use ⟨⁅y, ↑x⁆, I.lie_mem x.property⟩, n
· use x, ⟨⁅y, ↑n⁆, N.lie_mem n.property⟩
· simp only [lie_zero, Submodule.zero_mem]
· intro m₁ m₂ hm₁ hm₂; rw [lie_add]; exact Submodule.add_mem _ hm₁ hm₂
· intro t m'' hm''; rw [lie_smul]; exact Submodule.smul_mem _ t hm''
change _ ≤ ({ Submodule.span R s with lie_mem := fun hm' => aux _ _ hm' } : LieSubmodule R L M)
rw [lieIdeal_oper_eq_span, lieSpan_le]
exact Submodule.subset_span
· rw [lieIdeal_oper_eq_span]; apply submodule_span_le_lieSpan
|
/-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Algebra.Lie.BaseChange
import Mathlib.Algebra.Lie.Solvable
import Mathlib.Algebra.Lie.Quotient
import Mathlib.Algebra.Lie.Normalizer
import Mathlib.LinearAlgebra.Eigenspace.Basic
import Mathlib.Order.Filter.AtTopBot
import Mathlib.RingTheory.Artinian
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.Tactic.Monotonicity
#align_import algebra.lie.nilpotent from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1"
/-!
# Nilpotent Lie algebras
Like groups, Lie algebras admit a natural concept of nilpotency. More generally, any Lie module
carries a natural concept of nilpotency. We define these here via the lower central series.
## Main definitions
* `LieModule.lowerCentralSeries`
* `LieModule.IsNilpotent`
## Tags
lie algebra, lower central series, nilpotent
-/
universe u v w w₁ w₂
section NilpotentModules
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 (k : ℕ) (N : LieSubmodule R L M)
namespace LieSubmodule
/-- A generalisation of the lower central series. The zeroth term is a specified Lie submodule of
a Lie module. In the case when we specify the top ideal `⊤` of the Lie algebra, regarded as a Lie
module over itself, we get the usual lower central series of a Lie algebra.
It can be more convenient to work with this generalisation when considering the lower central series
of a Lie submodule, regarded as a Lie module in its own right, since it provides a type-theoretic
expression of the fact that the terms of the Lie submodule's lower central series are also Lie
submodules of the enclosing Lie module.
See also `LieSubmodule.lowerCentralSeries_eq_lcs_comap` and
`LieSubmodule.lowerCentralSeries_map_eq_lcs` below, as well as `LieSubmodule.ucs`. -/
def lcs : LieSubmodule R L M → LieSubmodule R L M :=
(fun N => ⁅(⊤ : LieIdeal R L), N⁆)^[k]
#align lie_submodule.lcs LieSubmodule.lcs
@[simp]
theorem lcs_zero (N : LieSubmodule R L M) : N.lcs 0 = N :=
rfl
#align lie_submodule.lcs_zero LieSubmodule.lcs_zero
@[simp]
theorem lcs_succ : N.lcs (k + 1) = ⁅(⊤ : LieIdeal R L), N.lcs k⁆ :=
Function.iterate_succ_apply' (fun N' => ⁅⊤, N'⁆) k N
#align lie_submodule.lcs_succ LieSubmodule.lcs_succ
@[simp]
lemma lcs_sup {N₁ N₂ : LieSubmodule R L M} {k : ℕ} :
(N₁ ⊔ N₂).lcs k = N₁.lcs k ⊔ N₂.lcs k := by
induction' k with k ih
· simp
· simp only [LieSubmodule.lcs_succ, ih, LieSubmodule.lie_sup]
end LieSubmodule
namespace LieModule
variable (R L M)
/-- The lower central series of Lie submodules of a Lie module. -/
def lowerCentralSeries : LieSubmodule R L M :=
(⊤ : LieSubmodule R L M).lcs k
#align lie_module.lower_central_series LieModule.lowerCentralSeries
@[simp]
theorem lowerCentralSeries_zero : lowerCentralSeries R L M 0 = ⊤ :=
rfl
#align lie_module.lower_central_series_zero LieModule.lowerCentralSeries_zero
@[simp]
theorem lowerCentralSeries_succ :
lowerCentralSeries R L M (k + 1) = ⁅(⊤ : LieIdeal R L), lowerCentralSeries R L M k⁆ :=
(⊤ : LieSubmodule R L M).lcs_succ k
#align lie_module.lower_central_series_succ LieModule.lowerCentralSeries_succ
end LieModule
namespace LieSubmodule
open LieModule
theorem lcs_le_self : N.lcs k ≤ N := by
induction' k with k ih
· simp
· simp only [lcs_succ]
exact (LieSubmodule.mono_lie_right _ _ ⊤ ih).trans (N.lie_le_right ⊤)
#align lie_submodule.lcs_le_self LieSubmodule.lcs_le_self
| Mathlib/Algebra/Lie/Nilpotent.lean | 112 | 119 | theorem lowerCentralSeries_eq_lcs_comap : lowerCentralSeries R L N k = (N.lcs k).comap N.incl := by |
induction' k with k ih
· simp
· simp only [lcs_succ, lowerCentralSeries_succ] at ih ⊢
have : N.lcs k ≤ N.incl.range := by
rw [N.range_incl]
apply lcs_le_self
rw [ih, LieSubmodule.comap_bracket_eq _ _ N.incl N.ker_incl this]
|
/-
Copyright (c) 2021 Noam Atar. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Noam Atar
-/
import Mathlib.Order.Ideal
import Mathlib.Order.PFilter
#align_import order.prime_ideal from "leanprover-community/mathlib"@"740acc0e6f9adf4423f92a485d0456fc271482da"
/-!
# Prime ideals
## Main definitions
Throughout this file, `P` is at least a preorder, but some sections require more
structure, such as a bottom element, a top element, or a join-semilattice structure.
- `Order.Ideal.PrimePair`: A pair of an `Order.Ideal` and an `Order.PFilter` which form a partition
of `P`. This is useful as giving the data of a prime ideal is the same as giving the data of a
prime filter.
- `Order.Ideal.IsPrime`: a predicate for prime ideals. Dual to the notion of a prime filter.
- `Order.PFilter.IsPrime`: a predicate for prime filters. Dual to the notion of a prime ideal.
## References
- <https://en.wikipedia.org/wiki/Ideal_(order_theory)>
## Tags
ideal, prime
-/
open Order.PFilter
namespace Order
variable {P : Type*}
namespace Ideal
/-- A pair of an `Order.Ideal` and an `Order.PFilter` which form a partition of `P`.
-/
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure PrimePair (P : Type*) [Preorder P] where
I : Ideal P
F : PFilter P
isCompl_I_F : IsCompl (I : Set P) F
#align order.ideal.prime_pair Order.Ideal.PrimePair
namespace PrimePair
variable [Preorder P] (IF : PrimePair P)
theorem compl_I_eq_F : (IF.I : Set P)ᶜ = IF.F :=
IF.isCompl_I_F.compl_eq
set_option linter.uppercaseLean3 false in
#align order.ideal.prime_pair.compl_I_eq_F Order.Ideal.PrimePair.compl_I_eq_F
theorem compl_F_eq_I : (IF.F : Set P)ᶜ = IF.I :=
IF.isCompl_I_F.eq_compl.symm
set_option linter.uppercaseLean3 false in
#align order.ideal.prime_pair.compl_F_eq_I Order.Ideal.PrimePair.compl_F_eq_I
theorem I_isProper : IsProper IF.I := by
cases' IF.F.nonempty with w h
apply isProper_of_not_mem (_ : w ∉ IF.I)
rwa [← IF.compl_I_eq_F] at h
set_option linter.uppercaseLean3 false in
#align order.ideal.prime_pair.I_is_proper Order.Ideal.PrimePair.I_isProper
protected theorem disjoint : Disjoint (IF.I : Set P) IF.F :=
IF.isCompl_I_F.disjoint
#align order.ideal.prime_pair.disjoint Order.Ideal.PrimePair.disjoint
theorem I_union_F : (IF.I : Set P) ∪ IF.F = Set.univ :=
IF.isCompl_I_F.sup_eq_top
set_option linter.uppercaseLean3 false in
#align order.ideal.prime_pair.I_union_F Order.Ideal.PrimePair.I_union_F
theorem F_union_I : (IF.F : Set P) ∪ IF.I = Set.univ :=
IF.isCompl_I_F.symm.sup_eq_top
set_option linter.uppercaseLean3 false in
#align order.ideal.prime_pair.F_union_I Order.Ideal.PrimePair.F_union_I
end PrimePair
/-- An ideal `I` is prime if its complement is a filter.
-/
@[mk_iff]
class IsPrime [Preorder P] (I : Ideal P) extends IsProper I : Prop where
compl_filter : IsPFilter (I : Set P)ᶜ
#align order.ideal.is_prime Order.Ideal.IsPrime
section Preorder
variable [Preorder P]
/-- Create an element of type `Order.Ideal.PrimePair` from an ideal satisfying the predicate
`Order.Ideal.IsPrime`. -/
def IsPrime.toPrimePair {I : Ideal P} (h : IsPrime I) : PrimePair P :=
{ I
F := h.compl_filter.toPFilter
isCompl_I_F := isCompl_compl }
#align order.ideal.is_prime.to_prime_pair Order.Ideal.IsPrime.toPrimePair
| Mathlib/Order/PrimeIdeal.lean | 110 | 114 | theorem PrimePair.I_isPrime (IF : PrimePair P) : IsPrime IF.I :=
{ IF.I_isProper with
compl_filter := by |
rw [IF.compl_I_eq_F]
exact IF.F.isPFilter }
|
/-
Copyright (c) 2019 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.List.Perm
import Mathlib.Data.List.Range
#align_import data.list.sublists from "leanprover-community/mathlib"@"ccad6d5093bd2f5c6ca621fc74674cce51355af6"
/-! # sublists
`List.Sublists` gives a list of all (not necessarily contiguous) sublists of a list.
This file contains basic results on this function.
-/
/-
Porting note: various auxiliary definitions such as `sublists'_aux` were left out of the port
because they were only used to prove properties of `sublists`, and these proofs have changed.
-/
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
open Nat
namespace List
/-! ### sublists -/
@[simp]
theorem sublists'_nil : sublists' (@nil α) = [[]] :=
rfl
#align list.sublists'_nil List.sublists'_nil
@[simp]
theorem sublists'_singleton (a : α) : sublists' [a] = [[], [a]] :=
rfl
#align list.sublists'_singleton List.sublists'_singleton
#noalign list.map_sublists'_aux
#noalign list.sublists'_aux_append
#noalign list.sublists'_aux_eq_sublists'
-- Porting note: Not the same as `sublists'_aux` from Lean3
/-- Auxiliary helper definition for `sublists'` -/
def sublists'Aux (a : α) (r₁ r₂ : List (List α)) : List (List α) :=
r₁.foldl (init := r₂) fun r l => r ++ [a :: l]
#align list.sublists'_aux List.sublists'Aux
theorem sublists'Aux_eq_array_foldl (a : α) : ∀ (r₁ r₂ : List (List α)),
sublists'Aux a r₁ r₂ = ((r₁.toArray).foldl (init := r₂.toArray)
(fun r l => r.push (a :: l))).toList := by
intro r₁ r₂
rw [sublists'Aux, Array.foldl_eq_foldl_data]
have := List.foldl_hom Array.toList (fun r l => r.push (a :: l))
(fun r l => r ++ [a :: l]) r₁ r₂.toArray (by simp)
simpa using this
theorem sublists'_eq_sublists'Aux (l : List α) :
sublists' l = l.foldr (fun a r => sublists'Aux a r r) [[]] := by
simp only [sublists', sublists'Aux_eq_array_foldl]
rw [← List.foldr_hom Array.toList]
· rfl
· intros _ _; congr <;> simp
theorem sublists'Aux_eq_map (a : α) (r₁ : List (List α)) : ∀ (r₂ : List (List α)),
sublists'Aux a r₁ r₂ = r₂ ++ map (cons a) r₁ :=
List.reverseRecOn r₁ (fun _ => by simp [sublists'Aux]) fun r₁ l ih r₂ => by
rw [map_append, map_singleton, ← append_assoc, ← ih, sublists'Aux, foldl_append, foldl]
simp [sublists'Aux]
-- Porting note: simp can prove `sublists'_singleton`
@[simp 900]
theorem sublists'_cons (a : α) (l : List α) :
sublists' (a :: l) = sublists' l ++ map (cons a) (sublists' l) := by
simp [sublists'_eq_sublists'Aux, foldr_cons, sublists'Aux_eq_map]
#align list.sublists'_cons List.sublists'_cons
@[simp]
theorem mem_sublists' {s t : List α} : s ∈ sublists' t ↔ s <+ t := by
induction' t with a t IH generalizing s
· simp only [sublists'_nil, mem_singleton]
exact ⟨fun h => by rw [h], eq_nil_of_sublist_nil⟩
simp only [sublists'_cons, mem_append, IH, mem_map]
constructor <;> intro h
· rcases h with (h | ⟨s, h, rfl⟩)
· exact sublist_cons_of_sublist _ h
· exact h.cons_cons _
· cases' h with _ _ _ h s _ _ h
· exact Or.inl h
· exact Or.inr ⟨s, h, rfl⟩
#align list.mem_sublists' List.mem_sublists'
@[simp]
theorem length_sublists' : ∀ l : List α, length (sublists' l) = 2 ^ length l
| [] => rfl
| a :: l => by
simp_arith only [sublists'_cons, length_append, length_sublists' l,
length_map, length, Nat.pow_succ']
#align list.length_sublists' List.length_sublists'
@[simp]
theorem sublists_nil : sublists (@nil α) = [[]] :=
rfl
#align list.sublists_nil List.sublists_nil
@[simp]
theorem sublists_singleton (a : α) : sublists [a] = [[], [a]] :=
rfl
#align list.sublists_singleton List.sublists_singleton
-- Porting note: Not the same as `sublists_aux` from Lean3
/-- Auxiliary helper function for `sublists` -/
def sublistsAux (a : α) (r : List (List α)) : List (List α) :=
r.foldl (init := []) fun r l => r ++ [l, a :: l]
#align list.sublists_aux List.sublistsAux
| Mathlib/Data/List/Sublists.lean | 120 | 129 | theorem sublistsAux_eq_array_foldl :
sublistsAux = fun (a : α) (r : List (List α)) =>
(r.toArray.foldl (init := #[])
fun r l => (r.push l).push (a :: l)).toList := by |
funext a r
simp only [sublistsAux, Array.foldl_eq_foldl_data, Array.mkEmpty]
have := foldl_hom Array.toList (fun r l => (r.push l).push (a :: l))
(fun (r : List (List α)) l => r ++ [l, a :: l]) r #[]
(by simp)
simpa using this
|
/-
Copyright (c) 2020 Bhavik Mehta. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bhavik Mehta
-/
import Mathlib.CategoryTheory.Sites.IsSheafFor
import Mathlib.CategoryTheory.Limits.Shapes.Types
import Mathlib.Tactic.ApplyFun
#align_import category_theory.sites.sheaf_of_types from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
/-!
# The equalizer diagram sheaf condition for a presieve
In `Mathlib/CategoryTheory/Sites/IsSheafFor.lean` it is defined what it means for a presheaf to be a
sheaf *for* a particular presieve. In this file we provide equivalent conditions in terms of
equalizer diagrams.
* In `Equalizer.Presieve.sheaf_condition`, the sheaf condition at a presieve is shown to be
equivalent to that of https://stacks.math.columbia.edu/tag/00VM (and combined with
`isSheaf_pretopology`, this shows the notions of `IsSheaf` are exactly equivalent.)
* In `Equalizer.Sieve.equalizer_sheaf_condition`, the sheaf condition at a sieve is shown to be
equivalent to that of Equation (3) p. 122 in Maclane-Moerdijk [MM92].
## References
* [MM92]: *Sheaves in geometry and logic*, Saunders MacLane, and Ieke Moerdijk:
Chapter III, Section 4.
* https://stacks.math.columbia.edu/tag/00VL (sheaves on a pretopology or site)
-/
universe w v u
namespace CategoryTheory
open Opposite CategoryTheory Category Limits Sieve
namespace Equalizer
variable {C : Type u} [Category.{v} C] (P : Cᵒᵖ ⥤ Type max v u) {X : C} (R : Presieve X)
(S : Sieve X)
noncomputable section
/--
The middle object of the fork diagram given in Equation (3) of [MM92], as well as the fork diagram
of <https://stacks.math.columbia.edu/tag/00VM>.
-/
def FirstObj : Type max v u :=
∏ᶜ fun f : ΣY, { f : Y ⟶ X // R f } => P.obj (op f.1)
#align category_theory.equalizer.first_obj CategoryTheory.Equalizer.FirstObj
variable {P R}
-- Porting note (#10688): added to ease automation
@[ext]
lemma FirstObj.ext (z₁ z₂ : FirstObj P R) (h : ∀ (Y : C) (f : Y ⟶ X)
(hf : R f), (Pi.π _ ⟨Y, f, hf⟩ : FirstObj P R ⟶ _) z₁ =
(Pi.π _ ⟨Y, f, hf⟩ : FirstObj P R ⟶ _) z₂) : z₁ = z₂ := by
apply Limits.Types.limit_ext
rintro ⟨⟨Y, f, hf⟩⟩
exact h Y f hf
variable (P R)
/-- Show that `FirstObj` is isomorphic to `FamilyOfElements`. -/
@[simps]
def firstObjEqFamily : FirstObj P R ≅ R.FamilyOfElements P where
hom t Y f hf := Pi.π (fun f : ΣY, { f : Y ⟶ X // R f } => P.obj (op f.1)) ⟨_, _, hf⟩ t
inv := Pi.lift fun f x => x _ f.2.2
#align category_theory.equalizer.first_obj_eq_family CategoryTheory.Equalizer.firstObjEqFamily
instance : Inhabited (FirstObj P (⊥ : Presieve X)) :=
(firstObjEqFamily P _).toEquiv.inhabited
-- Porting note: was not needed in mathlib
instance : Inhabited (FirstObj P ((⊥ : Sieve X) : Presieve X)) :=
(inferInstance : Inhabited (FirstObj P (⊥ : Presieve X)))
/--
The left morphism of the fork diagram given in Equation (3) of [MM92], as well as the fork diagram
of <https://stacks.math.columbia.edu/tag/00VM>.
-/
def forkMap : P.obj (op X) ⟶ FirstObj P R :=
Pi.lift fun f => P.map f.2.1.op
#align category_theory.equalizer.fork_map CategoryTheory.Equalizer.forkMap
/-!
This section establishes the equivalence between the sheaf condition of Equation (3) [MM92] and
the definition of `IsSheafFor`.
-/
namespace Sieve
/-- The rightmost object of the fork diagram of Equation (3) [MM92], which contains the data used
to check a family is compatible.
-/
def SecondObj : Type max v u :=
∏ᶜ fun f : Σ(Y Z : _) (_ : Z ⟶ Y), { f' : Y ⟶ X // S f' } => P.obj (op f.2.1)
#align category_theory.equalizer.sieve.second_obj CategoryTheory.Equalizer.Sieve.SecondObj
variable {P S}
-- Porting note (#10688): added to ease automation
@[ext]
lemma SecondObj.ext (z₁ z₂ : SecondObj P S) (h : ∀ (Y Z : C) (g : Z ⟶ Y) (f : Y ⟶ X)
(hf : S.arrows f), (Pi.π _ ⟨Y, Z, g, f, hf⟩ : SecondObj P S ⟶ _) z₁ =
(Pi.π _ ⟨Y, Z, g, f, hf⟩ : SecondObj P S ⟶ _) z₂) : z₁ = z₂ := by
apply Limits.Types.limit_ext
rintro ⟨⟨Y, Z, g, f, hf⟩⟩
apply h
variable (P S)
/-- The map `p` of Equations (3,4) [MM92]. -/
def firstMap : FirstObj P (S : Presieve X) ⟶ SecondObj P S :=
Pi.lift fun fg =>
Pi.π _ (⟨_, _, S.downward_closed fg.2.2.2.2 fg.2.2.1⟩ : ΣY, { f : Y ⟶ X // S f })
#align category_theory.equalizer.sieve.first_map CategoryTheory.Equalizer.Sieve.firstMap
instance : Inhabited (SecondObj P (⊥ : Sieve X)) :=
⟨firstMap _ _ default⟩
/-- The map `a` of Equations (3,4) [MM92]. -/
def secondMap : FirstObj P (S : Presieve X) ⟶ SecondObj P S :=
Pi.lift fun fg => Pi.π _ ⟨_, fg.2.2.2⟩ ≫ P.map fg.2.2.1.op
#align category_theory.equalizer.sieve.second_map CategoryTheory.Equalizer.Sieve.secondMap
| Mathlib/CategoryTheory/Sites/EqualizerSheafCondition.lean | 133 | 135 | theorem w : forkMap P (S : Presieve X) ≫ firstMap P S = forkMap P S ≫ secondMap P S := by |
ext
simp [firstMap, secondMap, forkMap]
|
/-
Copyright (c) 2014 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad
-/
import Mathlib.Init.Function
import Mathlib.Init.Order.Defs
#align_import data.bool.basic from "leanprover-community/mathlib"@"c4658a649d216f57e99621708b09dcb3dcccbd23"
/-!
# Booleans
This file proves various trivial lemmas about booleans and their
relation to decidable propositions.
## Tags
bool, boolean, Bool, De Morgan
-/
namespace Bool
@[deprecated (since := "2024-06-07")] alias decide_True := decide_true_eq_true
#align bool.to_bool_true decide_true_eq_true
@[deprecated (since := "2024-06-07")] alias decide_False := decide_false_eq_false
#align bool.to_bool_false decide_false_eq_false
#align bool.to_bool_coe Bool.decide_coe
@[deprecated (since := "2024-06-07")] alias coe_decide := decide_eq_true_iff
#align bool.coe_to_bool decide_eq_true_iff
@[deprecated decide_eq_true_iff (since := "2024-06-07")]
alias of_decide_iff := decide_eq_true_iff
#align bool.of_to_bool_iff decide_eq_true_iff
#align bool.tt_eq_to_bool_iff true_eq_decide_iff
#align bool.ff_eq_to_bool_iff false_eq_decide_iff
@[deprecated (since := "2024-06-07")] alias decide_not := decide_not
#align bool.to_bool_not decide_not
#align bool.to_bool_and Bool.decide_and
#align bool.to_bool_or Bool.decide_or
#align bool.to_bool_eq decide_eq_decide
@[deprecated (since := "2024-06-07")] alias not_false' := false_ne_true
#align bool.not_ff Bool.false_ne_true
@[deprecated (since := "2024-06-07")] alias eq_iff_eq_true_iff := eq_iff_iff
#align bool.default_bool Bool.default_bool
| Mathlib/Data/Bool/Basic.lean | 57 | 57 | theorem dichotomy (b : Bool) : b = false ∨ b = true := by | cases b <;> simp
|
/-
Copyright (c) 2022 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Order.Interval.Set.OrdConnectedComponent
import Mathlib.Topology.Order.Basic
#align_import topology.algebra.order.t5 from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
/-!
# Linear order is a completely normal Hausdorff topological space
In this file we prove that a linear order with order topology is a completely normal Hausdorff
topological space.
-/
open Filter Set Function OrderDual Topology Interval
variable {X : Type*} [LinearOrder X] [TopologicalSpace X] [OrderTopology X] {a b c : X}
{s t : Set X}
namespace Set
@[simp]
theorem ordConnectedComponent_mem_nhds : ordConnectedComponent s a ∈ 𝓝 a ↔ s ∈ 𝓝 a := by
refine ⟨fun h => mem_of_superset h ordConnectedComponent_subset, fun h => ?_⟩
rcases exists_Icc_mem_subset_of_mem_nhds h with ⟨b, c, ha, ha', hs⟩
exact mem_of_superset ha' (subset_ordConnectedComponent ha hs)
#align set.ord_connected_component_mem_nhds Set.ordConnectedComponent_mem_nhds
theorem compl_section_ordSeparatingSet_mem_nhdsWithin_Ici (hd : Disjoint s (closure t))
(ha : a ∈ s) : (ordConnectedSection (ordSeparatingSet s t))ᶜ ∈ 𝓝[≥] a := by
have hmem : tᶜ ∈ 𝓝[≥] a := by
refine mem_nhdsWithin_of_mem_nhds ?_
rw [← mem_interior_iff_mem_nhds, interior_compl]
exact disjoint_left.1 hd ha
rcases exists_Icc_mem_subset_of_mem_nhdsWithin_Ici hmem with ⟨b, hab, hmem', hsub⟩
by_cases H : Disjoint (Icc a b) (ordConnectedSection <| ordSeparatingSet s t)
· exact mem_of_superset hmem' (disjoint_left.1 H)
· simp only [Set.disjoint_left, not_forall, Classical.not_not] at H
rcases H with ⟨c, ⟨hac, hcb⟩, hc⟩
have hsub' : Icc a b ⊆ ordConnectedComponent tᶜ a :=
subset_ordConnectedComponent (left_mem_Icc.2 hab) hsub
have hd : Disjoint s (ordConnectedSection (ordSeparatingSet s t)) :=
disjoint_left_ordSeparatingSet.mono_right ordConnectedSection_subset
replace hac : a < c := hac.lt_of_ne <| Ne.symm <| ne_of_mem_of_not_mem hc <|
disjoint_left.1 hd ha
refine mem_of_superset (Ico_mem_nhdsWithin_Ici (left_mem_Ico.2 hac)) fun x hx hx' => ?_
refine hx.2.ne (eq_of_mem_ordConnectedSection_of_uIcc_subset hx' hc ?_)
refine subset_inter (subset_iUnion₂_of_subset a ha ?_) ?_
· exact OrdConnected.uIcc_subset inferInstance (hsub' ⟨hx.1, hx.2.le.trans hcb⟩)
(hsub' ⟨hac.le, hcb⟩)
· rcases mem_iUnion₂.1 (ordConnectedSection_subset hx').2 with ⟨y, hyt, hxy⟩
refine subset_iUnion₂_of_subset y hyt (OrdConnected.uIcc_subset inferInstance hxy ?_)
refine subset_ordConnectedComponent left_mem_uIcc hxy ?_
suffices c < y by
rw [uIcc_of_ge (hx.2.trans this).le]
exact ⟨hx.2.le, this.le⟩
refine lt_of_not_le fun hyc => ?_
have hya : y < a := not_le.1 fun hay => hsub ⟨hay, hyc.trans hcb⟩ hyt
exact hxy (Icc_subset_uIcc ⟨hya.le, hx.1⟩) ha
#align set.compl_section_ord_separating_set_mem_nhds_within_Ici Set.compl_section_ordSeparatingSet_mem_nhdsWithin_Ici
theorem compl_section_ordSeparatingSet_mem_nhdsWithin_Iic (hd : Disjoint s (closure t))
(ha : a ∈ s) : (ordConnectedSection <| ordSeparatingSet s t)ᶜ ∈ 𝓝[≤] a := by
have hd' : Disjoint (ofDual ⁻¹' s) (closure <| ofDual ⁻¹' t) := hd
have ha' : toDual a ∈ ofDual ⁻¹' s := ha
simpa only [dual_ordSeparatingSet, dual_ordConnectedSection] using
compl_section_ordSeparatingSet_mem_nhdsWithin_Ici hd' ha'
#align set.compl_section_ord_separating_set_mem_nhds_within_Iic Set.compl_section_ordSeparatingSet_mem_nhdsWithin_Iic
| Mathlib/Topology/Order/T5.lean | 74 | 79 | theorem compl_section_ordSeparatingSet_mem_nhds (hd : Disjoint s (closure t)) (ha : a ∈ s) :
(ordConnectedSection <| ordSeparatingSet s t)ᶜ ∈ 𝓝 a := by |
rw [← nhds_left_sup_nhds_right, mem_sup]
exact
⟨compl_section_ordSeparatingSet_mem_nhdsWithin_Iic hd ha,
compl_section_ordSeparatingSet_mem_nhdsWithin_Ici hd ha⟩
|
/-
Copyright (c) 2020 Aaron Anderson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Aaron Anderson
-/
import Mathlib.Algebra.GCDMonoid.Finset
import Mathlib.Algebra.Polynomial.CancelLeads
import Mathlib.Algebra.Polynomial.EraseLead
import Mathlib.Algebra.Polynomial.FieldDivision
#align_import ring_theory.polynomial.content from "leanprover-community/mathlib"@"7a030ab8eb5d99f05a891dccc49c5b5b90c947d3"
/-!
# GCD structures on polynomials
Definitions and basic results about polynomials over GCD domains, particularly their contents
and primitive polynomials.
## Main Definitions
Let `p : R[X]`.
- `p.content` is the `gcd` of the coefficients of `p`.
- `p.IsPrimitive` indicates that `p.content = 1`.
## Main Results
- `Polynomial.content_mul`:
If `p q : R[X]`, then `(p * q).content = p.content * q.content`.
- `Polynomial.NormalizedGcdMonoid`:
The polynomial ring of a GCD domain is itself a GCD domain.
-/
namespace Polynomial
open Polynomial
section Primitive
variable {R : Type*} [CommSemiring R]
/-- A polynomial is primitive when the only constant polynomials dividing it are units -/
def IsPrimitive (p : R[X]) : Prop :=
∀ r : R, C r ∣ p → IsUnit r
#align polynomial.is_primitive Polynomial.IsPrimitive
theorem isPrimitive_iff_isUnit_of_C_dvd {p : R[X]} : p.IsPrimitive ↔ ∀ r : R, C r ∣ p → IsUnit r :=
Iff.rfl
set_option linter.uppercaseLean3 false in
#align polynomial.is_primitive_iff_is_unit_of_C_dvd Polynomial.isPrimitive_iff_isUnit_of_C_dvd
@[simp]
theorem isPrimitive_one : IsPrimitive (1 : R[X]) := fun _ h =>
isUnit_C.mp (isUnit_of_dvd_one h)
#align polynomial.is_primitive_one Polynomial.isPrimitive_one
theorem Monic.isPrimitive {p : R[X]} (hp : p.Monic) : p.IsPrimitive := by
rintro r ⟨q, h⟩
exact isUnit_of_mul_eq_one r (q.coeff p.natDegree) (by rwa [← coeff_C_mul, ← h])
#align polynomial.monic.is_primitive Polynomial.Monic.isPrimitive
theorem IsPrimitive.ne_zero [Nontrivial R] {p : R[X]} (hp : p.IsPrimitive) : p ≠ 0 := by
rintro rfl
exact (hp 0 (dvd_zero (C 0))).ne_zero rfl
#align polynomial.is_primitive.ne_zero Polynomial.IsPrimitive.ne_zero
theorem isPrimitive_of_dvd {p q : R[X]} (hp : IsPrimitive p) (hq : q ∣ p) : IsPrimitive q :=
fun a ha => isPrimitive_iff_isUnit_of_C_dvd.mp hp a (dvd_trans ha hq)
#align polynomial.is_primitive_of_dvd Polynomial.isPrimitive_of_dvd
end Primitive
variable {R : Type*} [CommRing R] [IsDomain R]
section NormalizedGCDMonoid
variable [NormalizedGCDMonoid R]
/-- `p.content` is the `gcd` of the coefficients of `p`. -/
def content (p : R[X]) : R :=
p.support.gcd p.coeff
#align polynomial.content Polynomial.content
theorem content_dvd_coeff {p : R[X]} (n : ℕ) : p.content ∣ p.coeff n := by
by_cases h : n ∈ p.support
· apply Finset.gcd_dvd h
rw [mem_support_iff, Classical.not_not] at h
rw [h]
apply dvd_zero
#align polynomial.content_dvd_coeff Polynomial.content_dvd_coeff
@[simp]
| Mathlib/RingTheory/Polynomial/Content.lean | 92 | 97 | theorem content_C {r : R} : (C r).content = normalize r := by |
rw [content]
by_cases h0 : r = 0
· simp [h0]
have h : (C r).support = {0} := support_monomial _ h0
simp [h]
|
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Mario Carneiro, Sean Leather
-/
import Mathlib.Data.Finset.Card
#align_import data.finset.option from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0"
/-!
# Finite sets in `Option α`
In this file we define
* `Option.toFinset`: construct an empty or singleton `Finset α` from an `Option α`;
* `Finset.insertNone`: given `s : Finset α`, lift it to a finset on `Option α` using `Option.some`
and then insert `Option.none`;
* `Finset.eraseNone`: given `s : Finset (Option α)`, returns `t : Finset α` such that
`x ∈ t ↔ some x ∈ s`.
Then we prove some basic lemmas about these definitions.
## Tags
finset, option
-/
variable {α β : Type*}
open Function
namespace Option
/-- Construct an empty or singleton finset from an `Option` -/
def toFinset (o : Option α) : Finset α :=
o.elim ∅ singleton
#align option.to_finset Option.toFinset
@[simp]
theorem toFinset_none : none.toFinset = (∅ : Finset α) :=
rfl
#align option.to_finset_none Option.toFinset_none
@[simp]
theorem toFinset_some {a : α} : (some a).toFinset = {a} :=
rfl
#align option.to_finset_some Option.toFinset_some
@[simp]
theorem mem_toFinset {a : α} {o : Option α} : a ∈ o.toFinset ↔ a ∈ o := by
cases o <;> simp [eq_comm]
#align option.mem_to_finset Option.mem_toFinset
| Mathlib/Data/Finset/Option.lean | 55 | 55 | theorem card_toFinset (o : Option α) : o.toFinset.card = o.elim 0 1 := by | cases o <;> rfl
|
/-
Copyright (c) 2021 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import Mathlib.NumberTheory.ClassNumber.AdmissibleAbs
import Mathlib.NumberTheory.ClassNumber.Finite
import Mathlib.NumberTheory.NumberField.Discriminant
#align_import number_theory.number_field.class_number from "leanprover-community/mathlib"@"d0259b01c82eed3f50390a60404c63faf9e60b1f"
/-!
# Class numbers of number fields
This file defines the class number of a number field as the (finite) cardinality of
the class group of its ring of integers. It also proves some elementary results
on the class number.
## Main definitions
- `NumberField.classNumber`: the class number of a number field is the (finite)
cardinality of the class group of its ring of integers
-/
namespace NumberField
variable (K : Type*) [Field K] [NumberField K]
namespace RingOfIntegers
noncomputable instance instFintypeClassGroup : Fintype (ClassGroup (𝓞 K)) :=
ClassGroup.fintypeOfAdmissibleOfFinite ℚ K AbsoluteValue.absIsAdmissible
end RingOfIntegers
/-- The class number of a number field is the (finite) cardinality of the class group. -/
noncomputable def classNumber : ℕ :=
Fintype.card (ClassGroup (𝓞 K))
#align number_field.class_number NumberField.classNumber
variable {K}
/-- The class number of a number field is `1` iff the ring of integers is a PID. -/
theorem classNumber_eq_one_iff : classNumber K = 1 ↔ IsPrincipalIdealRing (𝓞 K) :=
card_classGroup_eq_one_iff
#align number_field.class_number_eq_one_iff NumberField.classNumber_eq_one_iff
open FiniteDimensional NumberField.InfinitePlace
open scoped nonZeroDivisors Real
| Mathlib/NumberTheory/NumberField/ClassNumber.lean | 52 | 75 | theorem exists_ideal_in_class_of_norm_le (C : ClassGroup (𝓞 K)) :
∃ I : (Ideal (𝓞 K))⁰, ClassGroup.mk0 I = C ∧
Ideal.absNorm (I : Ideal (𝓞 K)) ≤ (4 / π) ^ NrComplexPlaces K *
((finrank ℚ K).factorial / (finrank ℚ K) ^ (finrank ℚ K) * Real.sqrt |discr K|) := by |
obtain ⟨J, hJ⟩ := ClassGroup.mk0_surjective C⁻¹
obtain ⟨_, ⟨a, ha, rfl⟩, h_nz, h_nm⟩ :=
exists_ne_zero_mem_ideal_of_norm_le_mul_sqrt_discr K (FractionalIdeal.mk0 K J)
obtain ⟨I₀, hI⟩ := Ideal.dvd_iff_le.mpr ((Ideal.span_singleton_le_iff_mem J).mpr (by convert ha))
have : I₀ ≠ 0 := by
contrapose! h_nz
rw [h_nz, mul_zero, show 0 = (⊥ : Ideal (𝓞 K)) by rfl, Ideal.span_singleton_eq_bot] at hI
rw [Algebra.linearMap_apply, hI, map_zero]
let I := (⟨I₀, mem_nonZeroDivisors_iff_ne_zero.mpr this⟩ : (Ideal (𝓞 K))⁰)
refine ⟨I, ?_, ?_⟩
· suffices ClassGroup.mk0 I = (ClassGroup.mk0 J)⁻¹ by rw [this, hJ, inv_inv]
exact ClassGroup.mk0_eq_mk0_inv_iff.mpr ⟨a, Subtype.coe_ne_coe.1 h_nz, by rw [mul_comm, hI]⟩
· rw [← FractionalIdeal.absNorm_span_singleton (𝓞 K), Algebra.linearMap_apply,
← FractionalIdeal.coeIdeal_span_singleton, FractionalIdeal.coeIdeal_absNorm, hI, map_mul,
Nat.cast_mul, Rat.cast_mul, show Ideal.absNorm I₀ = Ideal.absNorm (I : Ideal (𝓞 K)) by rfl,
Rat.cast_natCast, Rat.cast_natCast, FractionalIdeal.coe_mk0,
FractionalIdeal.coeIdeal_absNorm, Rat.cast_natCast, mul_div_assoc, mul_assoc, mul_assoc]
at h_nm
refine le_of_mul_le_mul_of_pos_left h_nm ?_
exact Nat.cast_pos.mpr <| Nat.pos_of_ne_zero <| Ideal.absNorm_ne_zero_of_nonZeroDivisors J
|
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Robert Y. Lewis
-/
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.MvPolynomial.Variables
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Expand
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.ZMod.Basic
#align_import ring_theory.witt_vector.witt_polynomial from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395"
/-!
# Witt polynomials
To endow `WittVector p R` with a ring structure,
we need to study the so-called Witt polynomials.
Fix a base value `p : ℕ`.
The `p`-adic Witt polynomials are an infinite family of polynomials
indexed by a natural number `n`, taking values in an arbitrary ring `R`.
The variables of these polynomials are represented by natural numbers.
The variable set of the `n`th Witt polynomial contains at most `n+1` elements `{0, ..., n}`,
with exactly these variables when `R` has characteristic `0`.
These polynomials are used to define the addition and multiplication operators
on the type of Witt vectors. (While this type itself is not complicated,
the ring operations are what make it interesting.)
When the base `p` is invertible in `R`, the `p`-adic Witt polynomials
form a basis for `MvPolynomial ℕ R`, equivalent to the standard basis.
## Main declarations
* `WittPolynomial p R n`: the `n`-th Witt polynomial, viewed as polynomial over the ring `R`
* `xInTermsOfW p R n`: if `p` is invertible, the polynomial `X n` is contained in the subalgebra
generated by the Witt polynomials. `xInTermsOfW p R n` is the explicit polynomial,
which upon being bound to the Witt polynomials yields `X n`.
* `bind₁_wittPolynomial_xInTermsOfW`: the proof of the claim that
`bind₁ (xInTermsOfW p R) (W_ R n) = X n`
* `bind₁_xInTermsOfW_wittPolynomial`: the converse of the above statement
## Notation
In this file we use the following notation
* `p` is a natural number, typically assumed to be prime.
* `R` and `S` are commutative rings
* `W n` (and `W_ R n` when the ring needs to be explicit) denotes the `n`th Witt polynomial
## References
* [Hazewinkel, *Witt Vectors*][Haze09]
* [Commelin and Lewis, *Formalizing the Ring of Witt Vectors*][CL21]
-/
open MvPolynomial
open Finset hiding map
open Finsupp (single)
--attribute [-simp] coe_eval₂_hom
variable (p : ℕ)
variable (R : Type*) [CommRing R] [DecidableEq R]
/-- `wittPolynomial p R n` is the `n`-th Witt polynomial
with respect to a prime `p` with coefficients in a commutative ring `R`.
It is defined as:
`∑_{i ≤ n} p^i X_i^{p^{n-i}} ∈ R[X_0, X_1, X_2, …]`. -/
noncomputable def wittPolynomial (n : ℕ) : MvPolynomial ℕ R :=
∑ i ∈ range (n + 1), monomial (single i (p ^ (n - i))) ((p : R) ^ i)
#align witt_polynomial wittPolynomial
| Mathlib/RingTheory/WittVector/WittPolynomial.lean | 81 | 86 | theorem wittPolynomial_eq_sum_C_mul_X_pow (n : ℕ) :
wittPolynomial p R n = ∑ i ∈ range (n + 1), C ((p : R) ^ i) * X i ^ p ^ (n - i) := by |
apply sum_congr rfl
rintro i -
rw [monomial_eq, Finsupp.prod_single_index]
rw [pow_zero]
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Chris Hughes, Floris van Doorn, Yaël Dillies
-/
import Mathlib.Data.Nat.Defs
import Mathlib.Tactic.GCongr.Core
import Mathlib.Tactic.Common
import Mathlib.Tactic.Monotonicity.Attr
#align_import data.nat.factorial.basic from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105"
/-!
# Factorial and variants
This file defines the factorial, along with the ascending and descending variants.
## Main declarations
* `Nat.factorial`: The factorial.
* `Nat.ascFactorial`: The ascending factorial. It is the product of natural numbers from `n` to
`n + k - 1`.
* `Nat.descFactorial`: The descending factorial. It is the product of natural numbers from
`n - k + 1` to `n`.
-/
namespace Nat
/-- `Nat.factorial n` is the factorial of `n`. -/
def factorial : ℕ → ℕ
| 0 => 1
| succ n => succ n * factorial n
#align nat.factorial Nat.factorial
/-- factorial notation `n!` -/
scoped notation:10000 n "!" => Nat.factorial n
section Factorial
variable {m n : ℕ}
@[simp] theorem factorial_zero : 0! = 1 :=
rfl
#align nat.factorial_zero Nat.factorial_zero
theorem factorial_succ (n : ℕ) : (n + 1)! = (n + 1) * n ! :=
rfl
#align nat.factorial_succ Nat.factorial_succ
@[simp] theorem factorial_one : 1! = 1 :=
rfl
#align nat.factorial_one Nat.factorial_one
@[simp] theorem factorial_two : 2! = 2 :=
rfl
#align nat.factorial_two Nat.factorial_two
theorem mul_factorial_pred (hn : 0 < n) : n * (n - 1)! = n ! :=
Nat.sub_add_cancel (Nat.succ_le_of_lt hn) ▸ rfl
#align nat.mul_factorial_pred Nat.mul_factorial_pred
theorem factorial_pos : ∀ n, 0 < n !
| 0 => Nat.zero_lt_one
| succ n => Nat.mul_pos (succ_pos _) (factorial_pos n)
#align nat.factorial_pos Nat.factorial_pos
theorem factorial_ne_zero (n : ℕ) : n ! ≠ 0 :=
ne_of_gt (factorial_pos _)
#align nat.factorial_ne_zero Nat.factorial_ne_zero
theorem factorial_dvd_factorial {m n} (h : m ≤ n) : m ! ∣ n ! := by
induction' h with n _ ih
· exact Nat.dvd_refl _
· exact Nat.dvd_trans ih (Nat.dvd_mul_left _ _)
#align nat.factorial_dvd_factorial Nat.factorial_dvd_factorial
theorem dvd_factorial : ∀ {m n}, 0 < m → m ≤ n → m ∣ n !
| succ _, _, _, h => Nat.dvd_trans (Nat.dvd_mul_right _ _) (factorial_dvd_factorial h)
#align nat.dvd_factorial Nat.dvd_factorial
@[mono, gcongr]
theorem factorial_le {m n} (h : m ≤ n) : m ! ≤ n ! :=
le_of_dvd (factorial_pos _) (factorial_dvd_factorial h)
#align nat.factorial_le Nat.factorial_le
theorem factorial_mul_pow_le_factorial : ∀ {m n : ℕ}, m ! * (m + 1) ^ n ≤ (m + n)!
| m, 0 => by simp
| m, n + 1 => by
rw [← Nat.add_assoc, factorial_succ, Nat.mul_comm (_ + 1), Nat.pow_succ, ← Nat.mul_assoc]
exact Nat.mul_le_mul factorial_mul_pow_le_factorial (succ_le_succ (le_add_right _ _))
#align nat.factorial_mul_pow_le_factorial Nat.factorial_mul_pow_le_factorial
theorem factorial_lt (hn : 0 < n) : n ! < m ! ↔ n < m := by
refine ⟨fun h => not_le.mp fun hmn => Nat.not_le_of_lt h (factorial_le hmn), fun h => ?_⟩
have : ∀ {n}, 0 < n → n ! < (n + 1)! := by
intro k hk
rw [factorial_succ, succ_mul, Nat.lt_add_left_iff_pos]
exact Nat.mul_pos hk k.factorial_pos
induction' h with k hnk ih generalizing hn
· exact this hn
· exact lt_trans (ih hn) $ this <| lt_trans hn <| lt_of_succ_le hnk
#align nat.factorial_lt Nat.factorial_lt
@[gcongr]
lemma factorial_lt_of_lt {m n : ℕ} (hn : 0 < n) (h : n < m) : n ! < m ! := (factorial_lt hn).mpr h
@[simp] lemma one_lt_factorial : 1 < n ! ↔ 1 < n := factorial_lt Nat.one_pos
#align nat.one_lt_factorial Nat.one_lt_factorial
@[simp]
| Mathlib/Data/Nat/Factorial/Basic.lean | 113 | 118 | theorem factorial_eq_one : n ! = 1 ↔ n ≤ 1 := by |
constructor
· intro h
rw [← not_lt, ← one_lt_factorial, h]
apply lt_irrefl
· rintro (_|_|_) <;> rfl
|
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Patrick Massot, Eric Wieser, Yaël Dillies
-/
import Mathlib.Analysis.NormedSpace.Basic
import Mathlib.Topology.Algebra.Module.Basic
#align_import analysis.normed_space.basic from "leanprover-community/mathlib"@"bc91ed7093bf098d253401e69df601fc33dde156"
/-!
# Basic facts about real (semi)normed spaces
In this file we prove some theorems about (semi)normed spaces over real numberes.
## Main results
- `closure_ball`, `frontier_ball`, `interior_closedBall`, `frontier_closedBall`, `interior_sphere`,
`frontier_sphere`: formulas for the closure/interior/frontier
of nontrivial balls and spheres in a real seminormed space;
- `interior_closedBall'`, `frontier_closedBall'`, `interior_sphere'`, `frontier_sphere'`:
similar lemmas assuming that the ambient space is separated and nontrivial instead of `r ≠ 0`.
-/
open Metric Set Function Filter
open scoped NNReal Topology
/-- If `E` is a nontrivial topological module over `ℝ`, then `E` has no isolated points.
This is a particular case of `Module.punctured_nhds_neBot`. -/
instance Real.punctured_nhds_module_neBot {E : Type*} [AddCommGroup E] [TopologicalSpace E]
[ContinuousAdd E] [Nontrivial E] [Module ℝ E] [ContinuousSMul ℝ E] (x : E) : NeBot (𝓝[≠] x) :=
Module.punctured_nhds_neBot ℝ E x
#align real.punctured_nhds_module_ne_bot Real.punctured_nhds_module_neBot
section Seminormed
variable {E : Type*} [SeminormedAddCommGroup E] [NormedSpace ℝ E]
| Mathlib/Analysis/NormedSpace/Real.lean | 40 | 43 | theorem inv_norm_smul_mem_closed_unit_ball (x : E) :
‖x‖⁻¹ • x ∈ closedBall (0 : E) 1 := by |
simp only [mem_closedBall_zero_iff, norm_smul, norm_inv, norm_norm, ← div_eq_inv_mul,
div_self_le_one]
|
/-
Copyright (c) 2020 Damiano Testa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa, Alex Meiburg
-/
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.Polynomial.Degree.Lemmas
#align_import data.polynomial.erase_lead from "leanprover-community/mathlib"@"fa256f00ce018e7b40e1dc756e403c86680bf448"
/-!
# Erase the leading term of a univariate polynomial
## Definition
* `eraseLead f`: the polynomial `f - leading term of f`
`eraseLead` serves as reduction step in an induction, shaving off one monomial from a polynomial.
The definition is set up so that it does not mention subtraction in the definition,
and thus works for polynomials over semirings as well as rings.
-/
noncomputable section
open Polynomial
open Polynomial Finset
namespace Polynomial
variable {R : Type*} [Semiring R] {f : R[X]}
/-- `eraseLead f` for a polynomial `f` is the polynomial obtained by
subtracting from `f` the leading term of `f`. -/
def eraseLead (f : R[X]) : R[X] :=
Polynomial.erase f.natDegree f
#align polynomial.erase_lead Polynomial.eraseLead
section EraseLead
theorem eraseLead_support (f : R[X]) : f.eraseLead.support = f.support.erase f.natDegree := by
simp only [eraseLead, support_erase]
#align polynomial.erase_lead_support Polynomial.eraseLead_support
theorem eraseLead_coeff (i : ℕ) :
f.eraseLead.coeff i = if i = f.natDegree then 0 else f.coeff i := by
simp only [eraseLead, coeff_erase]
#align polynomial.erase_lead_coeff Polynomial.eraseLead_coeff
@[simp]
theorem eraseLead_coeff_natDegree : f.eraseLead.coeff f.natDegree = 0 := by simp [eraseLead_coeff]
#align polynomial.erase_lead_coeff_nat_degree Polynomial.eraseLead_coeff_natDegree
theorem eraseLead_coeff_of_ne (i : ℕ) (hi : i ≠ f.natDegree) : f.eraseLead.coeff i = f.coeff i := by
simp [eraseLead_coeff, hi]
#align polynomial.erase_lead_coeff_of_ne Polynomial.eraseLead_coeff_of_ne
@[simp]
theorem eraseLead_zero : eraseLead (0 : R[X]) = 0 := by simp only [eraseLead, erase_zero]
#align polynomial.erase_lead_zero Polynomial.eraseLead_zero
@[simp]
theorem eraseLead_add_monomial_natDegree_leadingCoeff (f : R[X]) :
f.eraseLead + monomial f.natDegree f.leadingCoeff = f :=
(add_comm _ _).trans (f.monomial_add_erase _)
#align polynomial.erase_lead_add_monomial_nat_degree_leading_coeff Polynomial.eraseLead_add_monomial_natDegree_leadingCoeff
@[simp]
theorem eraseLead_add_C_mul_X_pow (f : R[X]) :
f.eraseLead + C f.leadingCoeff * X ^ f.natDegree = f := by
rw [C_mul_X_pow_eq_monomial, eraseLead_add_monomial_natDegree_leadingCoeff]
set_option linter.uppercaseLean3 false in
#align polynomial.erase_lead_add_C_mul_X_pow Polynomial.eraseLead_add_C_mul_X_pow
@[simp]
theorem self_sub_monomial_natDegree_leadingCoeff {R : Type*} [Ring R] (f : R[X]) :
f - monomial f.natDegree f.leadingCoeff = f.eraseLead :=
(eq_sub_iff_add_eq.mpr (eraseLead_add_monomial_natDegree_leadingCoeff f)).symm
#align polynomial.self_sub_monomial_nat_degree_leading_coeff Polynomial.self_sub_monomial_natDegree_leadingCoeff
@[simp]
theorem self_sub_C_mul_X_pow {R : Type*} [Ring R] (f : R[X]) :
f - C f.leadingCoeff * X ^ f.natDegree = f.eraseLead := by
rw [C_mul_X_pow_eq_monomial, self_sub_monomial_natDegree_leadingCoeff]
set_option linter.uppercaseLean3 false in
#align polynomial.self_sub_C_mul_X_pow Polynomial.self_sub_C_mul_X_pow
| Mathlib/Algebra/Polynomial/EraseLead.lean | 89 | 92 | theorem eraseLead_ne_zero (f0 : 2 ≤ f.support.card) : eraseLead f ≠ 0 := by |
rw [Ne, ← card_support_eq_zero, eraseLead_support]
exact
(zero_lt_one.trans_le <| (tsub_le_tsub_right f0 1).trans Finset.pred_card_le_card_erase).ne.symm
|
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.RingTheory.WittVector.IsPoly
#align_import ring_theory.witt_vector.mul_p from "leanprover-community/mathlib"@"7abfbc92eec87190fba3ed3d5ec58e7c167e7144"
/-!
## Multiplication by `n` in the ring of Witt vectors
In this file we show that multiplication by `n` in the ring of Witt vectors
is a polynomial function. We then use this fact to show that the composition of Frobenius
and Verschiebung is equal to multiplication by `p`.
### Main declarations
* `mulN_isPoly`: multiplication by `n` is a polynomial function
## References
* [Hazewinkel, *Witt Vectors*][Haze09]
* [Commelin and Lewis, *Formalizing the Ring of Witt Vectors*][CL21]
-/
namespace WittVector
variable {p : ℕ} {R : Type*} [hp : Fact p.Prime] [CommRing R]
local notation "𝕎" => WittVector p -- type as `\bbW`
open MvPolynomial
noncomputable section
variable (p)
/-- `wittMulN p n` is the family of polynomials that computes
the coefficients of `x * n` in terms of the coefficients of the Witt vector `x`. -/
noncomputable def wittMulN : ℕ → ℕ → MvPolynomial ℕ ℤ
| 0 => 0
| n + 1 => fun k => bind₁ (Function.uncurry <| ![wittMulN n, X]) (wittAdd p k)
#align witt_vector.witt_mul_n WittVector.wittMulN
variable {p}
theorem mulN_coeff (n : ℕ) (x : 𝕎 R) (k : ℕ) :
(x * n).coeff k = aeval x.coeff (wittMulN p n k) := by
induction' n with n ih generalizing k
· simp only [Nat.zero_eq, Nat.cast_zero, mul_zero, zero_coeff, wittMulN,
AlgHom.map_zero, Pi.zero_apply]
· rw [wittMulN, Nat.cast_add, Nat.cast_one, mul_add, mul_one, aeval_bind₁, add_coeff]
apply eval₂Hom_congr (RingHom.ext_int _ _) _ rfl
ext1 ⟨b, i⟩
fin_cases b
· simp [Function.uncurry, Matrix.cons_val_zero, ih]
· simp [Function.uncurry, Matrix.cons_val_one, Matrix.head_cons, aeval_X]
#align witt_vector.mul_n_coeff WittVector.mulN_coeff
variable (p)
/-- Multiplication by `n` is a polynomial function. -/
@[is_poly]
theorem mulN_isPoly (n : ℕ) : IsPoly p fun R _Rcr x => x * n :=
⟨⟨wittMulN p n, fun R _Rcr x => by funext k; exact mulN_coeff n x k⟩⟩
#align witt_vector.mul_n_is_poly WittVector.mulN_isPoly
@[simp]
| Mathlib/RingTheory/WittVector/MulP.lean | 72 | 80 | theorem bind₁_wittMulN_wittPolynomial (n k : ℕ) :
bind₁ (wittMulN p n) (wittPolynomial p ℤ k) = n * wittPolynomial p ℤ k := by |
induction' n with n ih
· simp [wittMulN, Nat.cast_zero, zero_mul, bind₁_zero_wittPolynomial]
· rw [wittMulN, ← bind₁_bind₁, wittAdd, wittStructureInt_prop]
simp only [AlgHom.map_add, Nat.cast_succ, bind₁_X_right]
rw [add_mul, one_mul, bind₁_rename, bind₁_rename]
simp only [ih, Function.uncurry, Function.comp, bind₁_X_left, AlgHom.id_apply,
Matrix.cons_val_zero, Matrix.head_cons, Matrix.cons_val_one]
|
/-
Copyright (c) 2022 Alexander Bentkamp. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alexander Bentkamp
-/
import Mathlib.Analysis.InnerProductSpace.Spectrum
import Mathlib.Data.Matrix.Rank
import Mathlib.LinearAlgebra.Matrix.Diagonal
import Mathlib.LinearAlgebra.Matrix.Hermitian
#align_import linear_algebra.matrix.spectrum from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
/-! # Spectral theory of hermitian matrices
This file proves the spectral theorem for matrices. The proof of the spectral theorem is based on
the spectral theorem for linear maps (`LinearMap.IsSymmetric.eigenvectorBasis_apply_self_apply`).
## Tags
spectral theorem, diagonalization theorem-/
namespace Matrix
variable {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n]
variable {A : Matrix n n 𝕜}
namespace IsHermitian
section DecidableEq
variable [DecidableEq n]
variable (hA : A.IsHermitian)
/-- The eigenvalues of a hermitian matrix, indexed by `Fin (Fintype.card n)` where `n` is the index
type of the matrix. -/
noncomputable def eigenvalues₀ : Fin (Fintype.card n) → ℝ :=
(isHermitian_iff_isSymmetric.1 hA).eigenvalues finrank_euclideanSpace
#align matrix.is_hermitian.eigenvalues₀ Matrix.IsHermitian.eigenvalues₀
/-- The eigenvalues of a hermitian matrix, reusing the index `n` of the matrix entries. -/
noncomputable def eigenvalues : n → ℝ := fun i =>
hA.eigenvalues₀ <| (Fintype.equivOfCardEq (Fintype.card_fin _)).symm i
#align matrix.is_hermitian.eigenvalues Matrix.IsHermitian.eigenvalues
/-- A choice of an orthonormal basis of eigenvectors of a hermitian matrix. -/
noncomputable def eigenvectorBasis : OrthonormalBasis n 𝕜 (EuclideanSpace 𝕜 n) :=
((isHermitian_iff_isSymmetric.1 hA).eigenvectorBasis finrank_euclideanSpace).reindex
(Fintype.equivOfCardEq (Fintype.card_fin _))
#align matrix.is_hermitian.eigenvector_basis Matrix.IsHermitian.eigenvectorBasis
lemma mulVec_eigenvectorBasis (j : n) :
A *ᵥ ⇑(hA.eigenvectorBasis j) = (hA.eigenvalues j) • ⇑(hA.eigenvectorBasis j) := by
simpa only [eigenvectorBasis, OrthonormalBasis.reindex_apply, toEuclideanLin_apply,
RCLike.real_smul_eq_coe_smul (K := 𝕜)] using
congr(⇑$((isHermitian_iff_isSymmetric.1 hA).apply_eigenvectorBasis
finrank_euclideanSpace ((Fintype.equivOfCardEq (Fintype.card_fin _)).symm j)))
/-- Unitary matrix whose columns are `Matrix.IsHermitian.eigenvectorBasis`. -/
noncomputable def eigenvectorUnitary {𝕜 : Type*} [RCLike 𝕜] {n : Type*}
[Fintype n]{A : Matrix n n 𝕜} [DecidableEq n] (hA : Matrix.IsHermitian A) :
Matrix.unitaryGroup n 𝕜 :=
⟨(EuclideanSpace.basisFun n 𝕜).toBasis.toMatrix (hA.eigenvectorBasis).toBasis,
(EuclideanSpace.basisFun n 𝕜).toMatrix_orthonormalBasis_mem_unitary (eigenvectorBasis hA)⟩
#align matrix.is_hermitian.eigenvector_matrix Matrix.IsHermitian.eigenvectorUnitary
lemma eigenvectorUnitary_coe {𝕜 : Type*} [RCLike 𝕜] {n : Type*} [Fintype n]
{A : Matrix n n 𝕜} [DecidableEq n] (hA : Matrix.IsHermitian A) :
eigenvectorUnitary hA =
(EuclideanSpace.basisFun n 𝕜).toBasis.toMatrix (hA.eigenvectorBasis).toBasis :=
rfl
@[simp]
theorem eigenvectorUnitary_apply (i j : n) :
eigenvectorUnitary hA i j = ⇑(hA.eigenvectorBasis j) i :=
rfl
#align matrix.is_hermitian.eigenvector_matrix_apply Matrix.IsHermitian.eigenvectorUnitary_apply
| Mathlib/LinearAlgebra/Matrix/Spectrum.lean | 78 | 80 | theorem eigenvectorUnitary_mulVec (j : n) :
eigenvectorUnitary hA *ᵥ Pi.single j 1 = ⇑(hA.eigenvectorBasis j) := by |
simp only [mulVec_single, eigenvectorUnitary_apply, mul_one]
|
/-
Copyright (c) 2019 Reid Barton. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot
-/
import Mathlib.Topology.Separation
import Mathlib.Topology.Bases
#align_import topology.dense_embedding from "leanprover-community/mathlib"@"148aefbd371a25f1cff33c85f20c661ce3155def"
/-!
# Dense embeddings
This file defines three properties of functions:
* `DenseRange f` means `f` has dense image;
* `DenseInducing i` means `i` is also `Inducing`, namely it induces the topology on its codomain;
* `DenseEmbedding e` means `e` is further an `Embedding`, namely it is injective and `Inducing`.
The main theorem `continuous_extend` gives a criterion for a function
`f : X → Z` to a T₃ space Z to extend along a dense embedding
`i : X → Y` to a continuous function `g : Y → Z`. Actually `i` only
has to be `DenseInducing` (not necessarily injective).
-/
noncomputable section
open Set Filter
open scoped Topology
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
/-- `i : α → β` is "dense inducing" if it has dense range and the topology on `α`
is the one induced by `i` from the topology on `β`. -/
structure DenseInducing [TopologicalSpace α] [TopologicalSpace β] (i : α → β)
extends Inducing i : Prop where
/-- The range of a dense inducing map is a dense set. -/
protected dense : DenseRange i
#align dense_inducing DenseInducing
namespace DenseInducing
variable [TopologicalSpace α] [TopologicalSpace β]
variable {i : α → β} (di : DenseInducing i)
theorem nhds_eq_comap (di : DenseInducing i) : ∀ a : α, 𝓝 a = comap i (𝓝 <| i a) :=
di.toInducing.nhds_eq_comap
#align dense_inducing.nhds_eq_comap DenseInducing.nhds_eq_comap
protected theorem continuous (di : DenseInducing i) : Continuous i :=
di.toInducing.continuous
#align dense_inducing.continuous DenseInducing.continuous
theorem closure_range : closure (range i) = univ :=
di.dense.closure_range
#align dense_inducing.closure_range DenseInducing.closure_range
protected theorem preconnectedSpace [PreconnectedSpace α] (di : DenseInducing i) :
PreconnectedSpace β :=
di.dense.preconnectedSpace di.continuous
#align dense_inducing.preconnected_space DenseInducing.preconnectedSpace
| Mathlib/Topology/DenseEmbedding.lean | 65 | 72 | theorem closure_image_mem_nhds {s : Set α} {a : α} (di : DenseInducing i) (hs : s ∈ 𝓝 a) :
closure (i '' s) ∈ 𝓝 (i a) := by |
rw [di.nhds_eq_comap a, ((nhds_basis_opens _).comap _).mem_iff] at hs
rcases hs with ⟨U, ⟨haU, hUo⟩, sub : i ⁻¹' U ⊆ s⟩
refine mem_of_superset (hUo.mem_nhds haU) ?_
calc
U ⊆ closure (i '' (i ⁻¹' U)) := di.dense.subset_closure_image_preimage_of_isOpen hUo
_ ⊆ closure (i '' s) := closure_mono (image_subset i sub)
|
/-
Copyright (c) 2020 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
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"
/-!
# Group action on rings applied to polynomials
This file contains instances and definitions relating `MulSemiringAction` to `Polynomial`.
-/
variable (M : Type*) [Monoid M]
open Polynomial
namespace Polynomial
variable (R : Type*) [Semiring R]
variable {M}
-- Porting note: changed `(· • ·) m` to `HSMul.hSMul m`
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]
#align polynomial.smul_eq_map Polynomial.smul_eq_map
variable (M)
noncomputable instance [MulSemiringAction M R] : MulSemiringAction M R[X] :=
{ Polynomial.distribMulAction with
smul_one := fun m ↦
smul_eq_map R m ▸ Polynomial.map_one (MulSemiringAction.toRingHom M R m)
smul_mul := fun m _ _ ↦
smul_eq_map R m ▸ Polynomial.map_mul (MulSemiringAction.toRingHom M R m) }
variable {M R}
variable [MulSemiringAction M R]
@[simp]
theorem smul_X (m : M) : (m • X : R[X]) = X :=
(smul_eq_map R m).symm ▸ map_X _
set_option linter.uppercaseLean3 false in
#align polynomial.smul_X Polynomial.smul_X
variable (S : Type*) [CommSemiring S] [MulSemiringAction M S]
theorem smul_eval_smul (m : M) (f : S[X]) (x : S) : (m • f).eval (m • x) = m • f.eval x :=
Polynomial.induction_on f (fun r ↦ by rw [smul_C, eval_C, eval_C])
(fun f g ihf ihg ↦ by rw [smul_add, eval_add, ihf, ihg, eval_add, smul_add]) fun n r _ ↦ by
rw [smul_mul', smul_pow', smul_C, smul_X, eval_mul, eval_C, eval_pow, eval_X, eval_mul, eval_C,
eval_pow, eval_X, smul_mul', smul_pow']
#align polynomial.smul_eval_smul Polynomial.smul_eval_smul
variable (G : Type*) [Group G]
| Mathlib/Algebra/Polynomial/GroupRingAction.lean | 71 | 73 | theorem eval_smul' [MulSemiringAction G S] (g : G) (f : S[X]) (x : S) :
f.eval (g • x) = g • (g⁻¹ • f).eval x := by |
rw [← smul_eval_smul, smul_inv_smul]
|
/-
Copyright (c) 2021 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky
-/
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Data.List.MinMax
import Mathlib.Algebra.Tropical.Basic
import Mathlib.Order.ConditionallyCompleteLattice.Finset
#align_import algebra.tropical.big_operators from "leanprover-community/mathlib"@"d6fad0e5bf2d6f48da9175d25c3dc5706b3834ce"
/-!
# Tropicalization of finitary operations
This file provides the "big-op" or notation-based finitary operations on tropicalized types.
This allows easy conversion between sums to Infs and prods to sums. Results here are important
for expressing that evaluation of tropical polynomials are the minimum over a finite piecewise
collection of linear functions.
## Main declarations
* `untrop_sum`
## Implementation notes
No concrete (semi)ring is used here, only ones with inferrable order/lattice structure, to support
`Real`, `Rat`, `EReal`, and others (`ERat` is not yet defined).
Minima over `List α` are defined as producing a value in `WithTop α` so proofs about lists do not
directly transfer to minima over multisets or finsets.
-/
variable {R S : Type*}
open Tropical Finset
theorem List.trop_sum [AddMonoid R] (l : List R) : trop l.sum = List.prod (l.map trop) := by
induction' l with hd tl IH
· simp
· simp [← IH]
#align list.trop_sum List.trop_sum
theorem Multiset.trop_sum [AddCommMonoid R] (s : Multiset R) :
trop s.sum = Multiset.prod (s.map trop) :=
Quotient.inductionOn s (by simpa using List.trop_sum)
#align multiset.trop_sum Multiset.trop_sum
theorem trop_sum [AddCommMonoid R] (s : Finset S) (f : S → R) :
trop (∑ i ∈ s, f i) = ∏ i ∈ s, trop (f i) := by
convert Multiset.trop_sum (s.val.map f)
simp only [Multiset.map_map, Function.comp_apply]
rfl
#align trop_sum trop_sum
theorem List.untrop_prod [AddMonoid R] (l : List (Tropical R)) :
untrop l.prod = List.sum (l.map untrop) := by
induction' l with hd tl IH
· simp
· simp [← IH]
#align list.untrop_prod List.untrop_prod
theorem Multiset.untrop_prod [AddCommMonoid R] (s : Multiset (Tropical R)) :
untrop s.prod = Multiset.sum (s.map untrop) :=
Quotient.inductionOn s (by simpa using List.untrop_prod)
#align multiset.untrop_prod Multiset.untrop_prod
theorem untrop_prod [AddCommMonoid R] (s : Finset S) (f : S → Tropical R) :
untrop (∏ i ∈ s, f i) = ∑ i ∈ s, untrop (f i) := by
convert Multiset.untrop_prod (s.val.map f)
simp only [Multiset.map_map, Function.comp_apply]
rfl
#align untrop_prod untrop_prod
-- Porting note: replaced `coe` with `WithTop.some` in statement
theorem List.trop_minimum [LinearOrder R] (l : List R) :
trop l.minimum = List.sum (l.map (trop ∘ WithTop.some)) := by
induction' l with hd tl IH
· simp
· simp [List.minimum_cons, ← IH]
#align list.trop_minimum List.trop_minimum
theorem Multiset.trop_inf [LinearOrder R] [OrderTop R] (s : Multiset R) :
trop s.inf = Multiset.sum (s.map trop) := by
induction' s using Multiset.induction with s x IH
· simp
· simp [← IH]
#align multiset.trop_inf Multiset.trop_inf
theorem Finset.trop_inf [LinearOrder R] [OrderTop R] (s : Finset S) (f : S → R) :
trop (s.inf f) = ∑ i ∈ s, trop (f i) := by
convert Multiset.trop_inf (s.val.map f)
simp only [Multiset.map_map, Function.comp_apply]
rfl
#align finset.trop_inf Finset.trop_inf
| Mathlib/Algebra/Tropical/BigOperators.lean | 99 | 103 | theorem trop_sInf_image [ConditionallyCompleteLinearOrder R] (s : Finset S) (f : S → WithTop R) :
trop (sInf (f '' s)) = ∑ i ∈ s, trop (f i) := by |
rcases s.eq_empty_or_nonempty with (rfl | h)
· simp only [Set.image_empty, coe_empty, sum_empty, WithTop.sInf_empty, trop_top]
rw [← inf'_eq_csInf_image _ h, inf'_eq_inf, s.trop_inf]
|
/-
Copyright (c) 2021 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky
-/
import Mathlib.Data.List.Cycle
import Mathlib.GroupTheory.Perm.Cycle.Type
import Mathlib.GroupTheory.Perm.List
#align_import group_theory.perm.cycle.concrete from "leanprover-community/mathlib"@"00638177efd1b2534fc5269363ebf42a7871df9a"
/-!
# Properties of cyclic permutations constructed from lists/cycles
In the following, `{α : Type*} [Fintype α] [DecidableEq α]`.
## Main definitions
* `Cycle.formPerm`: the cyclic permutation created by looping over a `Cycle α`
* `Equiv.Perm.toList`: the list formed by iterating application of a permutation
* `Equiv.Perm.toCycle`: the cycle formed by iterating application of a permutation
* `Equiv.Perm.isoCycle`: the equivalence between cyclic permutations `f : Perm α`
and the terms of `Cycle α` that correspond to them
* `Equiv.Perm.isoCycle'`: the same equivalence as `Equiv.Perm.isoCycle`
but with evaluation via choosing over fintypes
* The notation `c[1, 2, 3]` to emulate notation of cyclic permutations `(1 2 3)`
* A `Repr` instance for any `Perm α`, by representing the `Finset` of
`Cycle α` that correspond to the cycle factors.
## Main results
* `List.isCycle_formPerm`: a nontrivial list without duplicates, when interpreted as
a permutation, is cyclic
* `Equiv.Perm.IsCycle.existsUnique_cycle`: there is only one nontrivial `Cycle α`
corresponding to each cyclic `f : Perm α`
## Implementation details
The forward direction of `Equiv.Perm.isoCycle'` uses `Fintype.choose` of the uniqueness
result, relying on the `Fintype` instance of a `Cycle.nodup` subtype.
It is unclear if this works faster than the `Equiv.Perm.toCycle`, which relies
on recursion over `Finset.univ`.
Running `#eval` on even a simple noncyclic permutation `c[(1 : Fin 7), 2, 3] * c[0, 5]`
to show it takes a long time. TODO: is this because computing the cycle factors is slow?
-/
open Equiv Equiv.Perm List
variable {α : Type*}
namespace List
variable [DecidableEq α] {l l' : List α}
theorem formPerm_disjoint_iff (hl : Nodup l) (hl' : Nodup l') (hn : 2 ≤ l.length)
(hn' : 2 ≤ l'.length) : Perm.Disjoint (formPerm l) (formPerm l') ↔ l.Disjoint l' := by
rw [disjoint_iff_eq_or_eq, List.Disjoint]
constructor
· rintro h x hx hx'
specialize h x
rw [formPerm_apply_mem_eq_self_iff _ hl _ hx, formPerm_apply_mem_eq_self_iff _ hl' _ hx'] at h
omega
· intro h x
by_cases hx : x ∈ l
on_goal 1 => by_cases hx' : x ∈ l'
· exact (h hx hx').elim
all_goals have := formPerm_eq_self_of_not_mem _ _ ‹_›; tauto
#align list.form_perm_disjoint_iff List.formPerm_disjoint_iff
theorem isCycle_formPerm (hl : Nodup l) (hn : 2 ≤ l.length) : IsCycle (formPerm l) := by
cases' l with x l
· set_option tactic.skipAssignedInstances false in norm_num at hn
induction' l with y l generalizing x
· set_option tactic.skipAssignedInstances false in norm_num at hn
· use x
constructor
· rwa [formPerm_apply_mem_ne_self_iff _ hl _ (mem_cons_self _ _)]
· intro w hw
have : w ∈ x::y::l := mem_of_formPerm_ne_self _ _ hw
obtain ⟨k, hk⟩ := get_of_mem this
use k
rw [← hk]
simp only [zpow_natCast, formPerm_pow_apply_head _ _ hl k, Nat.mod_eq_of_lt k.isLt]
#align list.is_cycle_form_perm List.isCycle_formPerm
theorem pairwise_sameCycle_formPerm (hl : Nodup l) (hn : 2 ≤ l.length) :
Pairwise l.formPerm.SameCycle l :=
Pairwise.imp_mem.mpr
(pairwise_of_forall fun _ _ hx hy =>
(isCycle_formPerm hl hn).sameCycle ((formPerm_apply_mem_ne_self_iff _ hl _ hx).mpr hn)
((formPerm_apply_mem_ne_self_iff _ hl _ hy).mpr hn))
#align list.pairwise_same_cycle_form_perm List.pairwise_sameCycle_formPerm
theorem cycleOf_formPerm (hl : Nodup l) (hn : 2 ≤ l.length) (x) :
cycleOf l.attach.formPerm x = l.attach.formPerm :=
have hn : 2 ≤ l.attach.length := by rwa [← length_attach] at hn
have hl : l.attach.Nodup := by rwa [← nodup_attach] at hl
(isCycle_formPerm hl hn).cycleOf_eq
((formPerm_apply_mem_ne_self_iff _ hl _ (mem_attach _ _)).mpr hn)
#align list.cycle_of_form_perm List.cycleOf_formPerm
theorem cycleType_formPerm (hl : Nodup l) (hn : 2 ≤ l.length) :
cycleType l.attach.formPerm = {l.length} := by
rw [← length_attach] at hn
rw [← nodup_attach] at hl
rw [cycleType_eq [l.attach.formPerm]]
· simp only [map, Function.comp_apply]
rw [support_formPerm_of_nodup _ hl, card_toFinset, dedup_eq_self.mpr hl]
· simp
· intro x h
simp [h, Nat.succ_le_succ_iff] at hn
· simp
· simpa using isCycle_formPerm hl hn
· simp
#align list.cycle_type_form_perm List.cycleType_formPerm
| Mathlib/GroupTheory/Perm/Cycle/Concrete.lean | 120 | 123 | theorem formPerm_apply_mem_eq_next (hl : Nodup l) (x : α) (hx : x ∈ l) :
formPerm l x = next l x hx := by |
obtain ⟨k, rfl⟩ := get_of_mem hx
rw [next_get _ hl, formPerm_apply_get _ hl]
|
/-
Copyright (c) 2019 Yury Kudriashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudriashov
-/
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
import Mathlib.Analysis.Convex.Hull
import Mathlib.LinearAlgebra.AffineSpace.Basis
#align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
/-!
# Convex combinations
This file defines convex combinations of points in a vector space.
## Main declarations
* `Finset.centerMass`: Center of mass of a finite family of points.
## Implementation notes
We divide by the sum of the weights in the definition of `Finset.centerMass` because of the way
mathematical arguments go: one doesn't change weights, but merely adds some. This also makes a few
lemmas unconditional on the sum of the weights being `1`.
-/
open Set Function
open scoped Classical
open Pointwise
universe u u'
variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E]
[AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α]
[OrderedSMul R α] {s : Set E}
/-- Center of mass of a finite collection of points with prescribed weights.
Note that we require neither `0 ≤ w i` nor `∑ w = 1`. -/
def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E :=
(∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i
#align finset.center_mass Finset.centerMass
variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E)
open Finset
theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by
simp only [centerMass, sum_empty, smul_zero]
#align finset.center_mass_empty Finset.centerMass_empty
theorem Finset.centerMass_pair (hne : i ≠ j) :
({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by
simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul]
#align finset.center_mass_pair Finset.centerMass_pair
variable {w}
theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) :
(insert i t).centerMass w z =
(w i / (w i + ∑ j ∈ t, w j)) • z i +
((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by
simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul]
congr 2
rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div]
#align finset.center_mass_insert Finset.centerMass_insert
| Mathlib/Analysis/Convex/Combination.lean | 70 | 71 | theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by |
rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul]
|
/-
Copyright (c) 2022 Junyan Xu. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Junyan Xu
-/
import Mathlib.Data.DFinsupp.WellFounded
import Mathlib.Data.Finsupp.Lex
#align_import data.finsupp.well_founded from "leanprover-community/mathlib"@"5fd3186f1ec30a75d5f65732e3ce5e623382556f"
/-!
# Well-foundedness of the lexicographic and product orders on `Finsupp`
`Finsupp.Lex.wellFounded` and the two variants that follow it essentially say that if `(· > ·)` is
a well order on `α`, `(· < ·)` is well-founded on `N`, and `0` is a bottom element in `N`, then the
lexicographic `(· < ·)` is well-founded on `α →₀ N`.
`Finsupp.Lex.wellFoundedLT_of_finite` says that if `α` is finite and equipped with a linear order
and `(· < ·)` is well-founded on `N`, then the lexicographic `(· < ·)` is well-founded on `α →₀ N`.
`Finsupp.wellFoundedLT` and `wellFoundedLT_of_finite` state the same results for the product
order `(· < ·)`, but without the ordering conditions on `α`.
All results are transferred from `DFinsupp` via `Finsupp.toDFinsupp`.
-/
variable {α N : Type*}
namespace Finsupp
variable [Zero N] {r : α → α → Prop} {s : N → N → Prop} (hbot : ∀ ⦃n⦄, ¬s n 0)
(hs : WellFounded s)
/-- Transferred from `DFinsupp.Lex.acc`. See the top of that file for an explanation for the
appearance of the relation `rᶜ ⊓ (≠)`. -/
| Mathlib/Data/Finsupp/WellFounded.lean | 37 | 42 | theorem Lex.acc (x : α →₀ N) (h : ∀ a ∈ x.support, Acc (rᶜ ⊓ (· ≠ ·)) a) :
Acc (Finsupp.Lex r s) x := by |
rw [lex_eq_invImage_dfinsupp_lex]
classical
refine InvImage.accessible toDFinsupp (DFinsupp.Lex.acc (fun _ => hbot) (fun _ => hs) _ ?_)
simpa only [toDFinsupp_support] using h
|
/-
Copyright (c) 2022 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Order.Interval.Set.OrdConnected
import Mathlib.Data.Set.Lattice
#align_import data.set.intervals.ord_connected_component from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
/-!
# Order connected components of a set
In this file we define `Set.ordConnectedComponent s x` to be the set of `y` such that
`Set.uIcc x y ⊆ s` and prove some basic facts about this definition. At the moment of writing,
this construction is used only to prove that any linear order with order topology is a T₅ space,
so we only add API needed for this lemma.
-/
open Interval Function OrderDual
namespace Set
variable {α : Type*} [LinearOrder α] {s t : Set α} {x y z : α}
/-- Order-connected component of a point `x` in a set `s`. It is defined as the set of `y` such that
`Set.uIcc x y ⊆ s`. Note that it is empty if and only if `x ∉ s`. -/
def ordConnectedComponent (s : Set α) (x : α) : Set α :=
{ y | [[x, y]] ⊆ s }
#align set.ord_connected_component Set.ordConnectedComponent
theorem mem_ordConnectedComponent : y ∈ ordConnectedComponent s x ↔ [[x, y]] ⊆ s :=
Iff.rfl
#align set.mem_ord_connected_component Set.mem_ordConnectedComponent
theorem dual_ordConnectedComponent :
ordConnectedComponent (ofDual ⁻¹' s) (toDual x) = ofDual ⁻¹' ordConnectedComponent s x :=
ext <| (Surjective.forall toDual.surjective).2 fun x => by
rw [mem_ordConnectedComponent, dual_uIcc]
rfl
#align set.dual_ord_connected_component Set.dual_ordConnectedComponent
theorem ordConnectedComponent_subset : ordConnectedComponent s x ⊆ s := fun _ hy =>
hy right_mem_uIcc
#align set.ord_connected_component_subset Set.ordConnectedComponent_subset
theorem subset_ordConnectedComponent {t} [h : OrdConnected s] (hs : x ∈ s) (ht : s ⊆ t) :
s ⊆ ordConnectedComponent t x := fun _ hy => (h.uIcc_subset hs hy).trans ht
#align set.subset_ord_connected_component Set.subset_ordConnectedComponent
@[simp]
theorem self_mem_ordConnectedComponent : x ∈ ordConnectedComponent s x ↔ x ∈ s := by
rw [mem_ordConnectedComponent, uIcc_self, singleton_subset_iff]
#align set.self_mem_ord_connected_component Set.self_mem_ordConnectedComponent
@[simp]
theorem nonempty_ordConnectedComponent : (ordConnectedComponent s x).Nonempty ↔ x ∈ s :=
⟨fun ⟨_, hy⟩ => hy <| left_mem_uIcc, fun h => ⟨x, self_mem_ordConnectedComponent.2 h⟩⟩
#align set.nonempty_ord_connected_component Set.nonempty_ordConnectedComponent
@[simp]
theorem ordConnectedComponent_eq_empty : ordConnectedComponent s x = ∅ ↔ x ∉ s := by
rw [← not_nonempty_iff_eq_empty, nonempty_ordConnectedComponent]
#align set.ord_connected_component_eq_empty Set.ordConnectedComponent_eq_empty
@[simp]
theorem ordConnectedComponent_empty : ordConnectedComponent ∅ x = ∅ :=
ordConnectedComponent_eq_empty.2 (not_mem_empty x)
#align set.ord_connected_component_empty Set.ordConnectedComponent_empty
@[simp]
theorem ordConnectedComponent_univ : ordConnectedComponent univ x = univ := by
simp [ordConnectedComponent]
#align set.ord_connected_component_univ Set.ordConnectedComponent_univ
| Mathlib/Order/Interval/Set/OrdConnectedComponent.lean | 77 | 79 | theorem ordConnectedComponent_inter (s t : Set α) (x : α) :
ordConnectedComponent (s ∩ t) x = ordConnectedComponent s x ∩ ordConnectedComponent t x := by |
simp [ordConnectedComponent, setOf_and]
|
/-
Copyright (c) 2022 Daniel Roca González. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Daniel Roca González
-/
import Mathlib.Analysis.InnerProductSpace.Dual
#align_import analysis.inner_product_space.lax_milgram from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
/-!
# The Lax-Milgram Theorem
We consider a Hilbert space `V` over `ℝ`
equipped with a bounded bilinear form `B : V →L[ℝ] V →L[ℝ] ℝ`.
Recall that a bilinear form `B : V →L[ℝ] V →L[ℝ] ℝ` is *coercive*
iff `∃ C, (0 < C) ∧ ∀ u, C * ‖u‖ * ‖u‖ ≤ B u u`.
Under the hypothesis that `B` is coercive we prove the Lax-Milgram theorem:
that is, the map `InnerProductSpace.continuousLinearMapOfBilin` from
`Analysis.InnerProductSpace.Dual` can be upgraded to a continuous equivalence
`IsCoercive.continuousLinearEquivOfBilin : V ≃L[ℝ] V`.
## References
* We follow the notes of Peter Howard's Spring 2020 *M612: Partial Differential Equations* lecture,
see[howard]
## Tags
dual, Lax-Milgram
-/
noncomputable section
open RCLike LinearMap ContinuousLinearMap InnerProductSpace
open LinearMap (ker range)
open RealInnerProductSpace NNReal
universe u
namespace IsCoercive
variable {V : Type u} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [CompleteSpace V]
variable {B : V →L[ℝ] V →L[ℝ] ℝ}
local postfix:1024 "♯" => @continuousLinearMapOfBilin ℝ V _ _ _ _
theorem bounded_below (coercive : IsCoercive B) : ∃ C, 0 < C ∧ ∀ v, C * ‖v‖ ≤ ‖B♯ v‖ := by
rcases coercive with ⟨C, C_ge_0, coercivity⟩
refine ⟨C, C_ge_0, ?_⟩
intro v
by_cases h : 0 < ‖v‖
· refine (mul_le_mul_right h).mp ?_
calc
C * ‖v‖ * ‖v‖ ≤ B v v := coercivity v
_ = ⟪B♯ v, v⟫_ℝ := (continuousLinearMapOfBilin_apply B v v).symm
_ ≤ ‖B♯ v‖ * ‖v‖ := real_inner_le_norm (B♯ v) v
· have : v = 0 := by simpa using h
simp [this]
#align is_coercive.bounded_below IsCoercive.bounded_below
| Mathlib/Analysis/InnerProductSpace/LaxMilgram.lean | 65 | 71 | theorem antilipschitz (coercive : IsCoercive B) : ∃ C : ℝ≥0, 0 < C ∧ AntilipschitzWith C B♯ := by |
rcases coercive.bounded_below with ⟨C, C_pos, below_bound⟩
refine ⟨C⁻¹.toNNReal, Real.toNNReal_pos.mpr (inv_pos.mpr C_pos), ?_⟩
refine ContinuousLinearMap.antilipschitz_of_bound B♯ ?_
simp_rw [Real.coe_toNNReal', max_eq_left_of_lt (inv_pos.mpr C_pos), ←
inv_mul_le_iff (inv_pos.mpr C_pos)]
simpa using below_bound
|
/-
Copyright (c) 2022 Yuyang Zhao. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yuyang Zhao
-/
import Mathlib.Algebra.Algebra.Tower
import Mathlib.Algebra.MvPolynomial.Basic
#align_import ring_theory.mv_polynomial.tower from "leanprover-community/mathlib"@"bb168510ef455e9280a152e7f31673cabd3d7496"
/-!
# Algebra towers for multivariate polynomial
This file proves some basic results about the algebra tower structure for the type
`MvPolynomial σ R`.
This structure itself is provided elsewhere as `MvPolynomial.isScalarTower`
When you update this file, you can also try to make a corresponding update in
`RingTheory.Polynomial.Tower`.
-/
variable (R A B : Type*) {σ : Type*}
namespace MvPolynomial
section Semiring
variable [CommSemiring R] [CommSemiring A] [CommSemiring B]
variable [Algebra R A] [Algebra A B] [Algebra R B]
variable [IsScalarTower R A B]
variable {R B}
| Mathlib/RingTheory/MvPolynomial/Tower.lean | 35 | 37 | theorem aeval_map_algebraMap (x : σ → B) (p : MvPolynomial σ R) :
aeval x (map (algebraMap R A) p) = aeval x p := by |
rw [aeval_def, aeval_def, eval₂_map, IsScalarTower.algebraMap_eq R A B]
|
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Algebra.Group.Pi.Lemmas
import Mathlib.Algebra.Module.Defs
import Mathlib.GroupTheory.Abelianization
import Mathlib.GroupTheory.FreeGroup.Basic
#align_import group_theory.free_abelian_group from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
/-!
# Free abelian groups
The free abelian group on a type `α`, defined as the abelianisation of
the free group on `α`.
The free abelian group on `α` can be abstractly defined as the left adjoint of the
forgetful functor from abelian groups to types. Alternatively, one could define
it as the functions `α → ℤ` which send all but finitely many `(a : α)` to `0`,
under pointwise addition. In this file, it is defined as the abelianisation
of the free group on `α`. All the constructions and theorems required to show
the adjointness of the construction and the forgetful functor are proved in this
file, but the category-theoretic adjunction statement is in
`Algebra.Category.Group.Adjunctions`.
## Main definitions
Here we use the following variables: `(α β : Type*) (A : Type*) [AddCommGroup A]`
* `FreeAbelianGroup α` : the free abelian group on a type `α`. As an abelian
group it is `α →₀ ℤ`, the functions from `α` to `ℤ` such that all but finitely
many elements get mapped to zero, however this is not how it is implemented.
* `lift f : FreeAbelianGroup α →+ A` : the group homomorphism induced
by the map `f : α → A`.
* `map (f : α → β) : FreeAbelianGroup α →+ FreeAbelianGroup β` : functoriality
of `FreeAbelianGroup`.
* `instance [Monoid α] : Semigroup (FreeAbelianGroup α)`
* `instance [CommMonoid α] : CommRing (FreeAbelianGroup α)`
It has been suggested that we would be better off refactoring this file
and using `Finsupp` instead.
## Implementation issues
The definition is `def FreeAbelianGroup : Type u := Additive <| Abelianization <| FreeGroup α`.
Chris Hughes has suggested that this all be rewritten in terms of `Finsupp`.
Johan Commelin has written all the API relating the definition to `Finsupp`
in the lean-liquid repo.
The lemmas `map_pure`, `map_of`, `map_zero`, `map_add`, `map_neg` and `map_sub`
are proved about the `Functor.map` `<$>` construction, and need `α` and `β` to
be in the same universe. But
`FreeAbelianGroup.map (f : α → β)` is defined to be the `AddGroup`
homomorphism `FreeAbelianGroup α →+ FreeAbelianGroup β` (with `α` and `β` now
allowed to be in different universes), so `(map f).map_add`
etc can be used to prove that `FreeAbelianGroup.map` preserves addition. The
functions `map_id`, `map_id_apply`, `map_comp`, `map_comp_apply` and `map_of_apply`
are about `FreeAbelianGroup.map`.
-/
universe u v
variable (α : Type u)
/-- The free abelian group on a type. -/
def FreeAbelianGroup : Type u :=
Additive <| Abelianization <| FreeGroup α
#align free_abelian_group FreeAbelianGroup
-- FIXME: this is super broken, because the functions have type `Additive .. → ..`
-- instead of `FreeAbelianGroup α → ..` and those are not defeq!
instance FreeAbelianGroup.addCommGroup : AddCommGroup (FreeAbelianGroup α) :=
@Additive.addCommGroup _ <| Abelianization.commGroup _
instance : Inhabited (FreeAbelianGroup α) :=
⟨0⟩
instance [IsEmpty α] : Unique (FreeAbelianGroup α) := by unfold FreeAbelianGroup; infer_instance
variable {α}
namespace FreeAbelianGroup
/-- The canonical map from `α` to `FreeAbelianGroup α`. -/
def of (x : α) : FreeAbelianGroup α :=
Abelianization.of <| FreeGroup.of x
#align free_abelian_group.of FreeAbelianGroup.of
/-- The map `FreeAbelianGroup α →+ A` induced by a map of types `α → A`. -/
def lift {β : Type v} [AddCommGroup β] : (α → β) ≃ (FreeAbelianGroup α →+ β) :=
(@FreeGroup.lift _ (Multiplicative β) _).trans <|
(@Abelianization.lift _ _ (Multiplicative β) _).trans MonoidHom.toAdditive
#align free_abelian_group.lift FreeAbelianGroup.lift
namespace lift
variable {β : Type v} [AddCommGroup β] (f : α → β)
open FreeAbelianGroup
-- Porting note: needed to add `(β := Multiplicative β)` and `using 1`.
@[simp]
protected theorem of (x : α) : lift f (of x) = f x := by
convert Abelianization.lift.of
(FreeGroup.lift f (β := Multiplicative β)) (FreeGroup.of x) using 1
exact (FreeGroup.lift.of (β := Multiplicative β)).symm
#align free_abelian_group.lift.of FreeAbelianGroup.lift.of
protected theorem unique (g : FreeAbelianGroup α →+ β) (hg : ∀ x, g (of x) = f x) {x} :
g x = lift f x :=
DFunLike.congr_fun (lift.symm_apply_eq.mp (funext hg : g ∘ of = f)) _
#align free_abelian_group.lift.unique FreeAbelianGroup.lift.unique
/-- See note [partially-applied ext lemmas]. -/
@[ext high]
protected theorem ext (g h : FreeAbelianGroup α →+ β) (H : ∀ x, g (of x) = h (of x)) : g = h :=
lift.symm.injective <| funext H
#align free_abelian_group.lift.ext FreeAbelianGroup.lift.ext
| Mathlib/GroupTheory/FreeAbelianGroup.lean | 129 | 135 | theorem map_hom {α β γ} [AddCommGroup β] [AddCommGroup γ] (a : FreeAbelianGroup α) (f : α → β)
(g : β →+ γ) : g (lift f a) = lift (g ∘ f) a := by |
show (g.comp (lift f)) a = lift (g ∘ f) a
apply lift.unique
intro a
show g ((lift f) (of a)) = g (f a)
simp only [(· ∘ ·), lift.of]
|
/-
Copyright (c) 2022 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker
-/
import Mathlib.Analysis.Convex.Topology
#align_import topology.algebra.module.locally_convex from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Locally convex topological modules
A `LocallyConvexSpace` is a topological semimodule over an ordered semiring in which any point
admits a neighborhood basis made of convex sets, or equivalently, in which convex neighborhoods of
a point form a neighborhood basis at that point.
In a module, this is equivalent to `0` satisfying such properties.
## Main results
- `locallyConvexSpace_iff_zero` : in a module, local convexity at zero gives
local convexity everywhere
- `WithSeminorms.locallyConvexSpace` : a topology generated by a family of seminorms is locally
convex (in `Analysis.LocallyConvex.WithSeminorms`)
- `NormedSpace.locallyConvexSpace` : a normed space is locally convex
(in `Analysis.LocallyConvex.WithSeminorms`)
## TODO
- define a structure `LocallyConvexFilterBasis`, extending `ModuleFilterBasis`, for filter
bases generating a locally convex topology
-/
open TopologicalSpace Filter Set
open Topology Pointwise
section Semimodule
/-- A `LocallyConvexSpace` is a topological semimodule over an ordered semiring in which convex
neighborhoods of a point form a neighborhood basis at that point. -/
class LocallyConvexSpace (𝕜 E : Type*) [OrderedSemiring 𝕜] [AddCommMonoid E] [Module 𝕜 E]
[TopologicalSpace E] : Prop where
convex_basis : ∀ x : E, (𝓝 x).HasBasis (fun s : Set E => s ∈ 𝓝 x ∧ Convex 𝕜 s) id
#align locally_convex_space LocallyConvexSpace
variable (𝕜 E : Type*) [OrderedSemiring 𝕜] [AddCommMonoid E] [Module 𝕜 E] [TopologicalSpace E]
theorem locallyConvexSpace_iff :
LocallyConvexSpace 𝕜 E ↔ ∀ x : E, (𝓝 x).HasBasis (fun s : Set E => s ∈ 𝓝 x ∧ Convex 𝕜 s) id :=
⟨@LocallyConvexSpace.convex_basis _ _ _ _ _ _, LocallyConvexSpace.mk⟩
#align locally_convex_space_iff locallyConvexSpace_iff
theorem LocallyConvexSpace.ofBases {ι : Type*} (b : E → ι → Set E) (p : E → ι → Prop)
(hbasis : ∀ x : E, (𝓝 x).HasBasis (p x) (b x)) (hconvex : ∀ x i, p x i → Convex 𝕜 (b x i)) :
LocallyConvexSpace 𝕜 E :=
⟨fun x =>
(hbasis x).to_hasBasis
(fun i hi => ⟨b x i, ⟨⟨(hbasis x).mem_of_mem hi, hconvex x i hi⟩, le_refl (b x i)⟩⟩)
fun s hs =>
⟨(hbasis x).index s hs.1, ⟨(hbasis x).property_index hs.1, (hbasis x).set_index_subset hs.1⟩⟩⟩
#align locally_convex_space.of_bases LocallyConvexSpace.ofBases
theorem LocallyConvexSpace.convex_basis_zero [LocallyConvexSpace 𝕜 E] :
(𝓝 0 : Filter E).HasBasis (fun s => s ∈ (𝓝 0 : Filter E) ∧ Convex 𝕜 s) id :=
LocallyConvexSpace.convex_basis 0
#align locally_convex_space.convex_basis_zero LocallyConvexSpace.convex_basis_zero
theorem locallyConvexSpace_iff_exists_convex_subset :
LocallyConvexSpace 𝕜 E ↔ ∀ x : E, ∀ U ∈ 𝓝 x, ∃ S ∈ 𝓝 x, Convex 𝕜 S ∧ S ⊆ U :=
(locallyConvexSpace_iff 𝕜 E).trans (forall_congr' fun _ => hasBasis_self)
#align locally_convex_space_iff_exists_convex_subset locallyConvexSpace_iff_exists_convex_subset
end Semimodule
section Module
variable (𝕜 E : Type*) [OrderedSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E]
[TopologicalAddGroup E]
| Mathlib/Topology/Algebra/Module/LocallyConvex.lean | 83 | 89 | theorem LocallyConvexSpace.ofBasisZero {ι : Type*} (b : ι → Set E) (p : ι → Prop)
(hbasis : (𝓝 0).HasBasis p b) (hconvex : ∀ i, p i → Convex 𝕜 (b i)) :
LocallyConvexSpace 𝕜 E := by |
refine LocallyConvexSpace.ofBases 𝕜 E (fun (x : E) (i : ι) => (x + ·) '' b i) (fun _ => p)
(fun x => ?_) fun x i hi => (hconvex i hi).translate x
rw [← map_add_left_nhds_zero]
exact hbasis.map _
|
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Data.Complex.Exponential
import Mathlib.Data.Complex.Module
import Mathlib.RingTheory.Polynomial.Chebyshev
#align_import analysis.special_functions.trigonometric.chebyshev from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1"
/-!
# Multiple angle formulas in terms of Chebyshev polynomials
This file gives the trigonometric characterizations of Chebyshev polynomials, for both the real
(`Real.cos`) and complex (`Complex.cos`) cosine.
-/
set_option linter.uppercaseLean3 false
namespace Polynomial.Chebyshev
open Polynomial
variable {R A : Type*} [CommRing R] [CommRing A] [Algebra R A]
@[simp]
theorem aeval_T (x : A) (n : ℤ) : aeval x (T R n) = (T A n).eval x := by
rw [aeval_def, eval₂_eq_eval_map, map_T]
#align polynomial.chebyshev.aeval_T Polynomial.Chebyshev.aeval_T
@[simp]
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Chebyshev.lean | 34 | 35 | theorem aeval_U (x : A) (n : ℤ) : aeval x (U R n) = (U A n).eval x := by |
rw [aeval_def, eval₂_eq_eval_map, map_U]
|
/-
Copyright (c) 2023 Scott Carnahan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Carnahan
-/
import Mathlib.GroupTheory.GroupAction.Prod
import Mathlib.Algebra.Ring.Int
import Mathlib.Data.Nat.Cast.Basic
/-!
# Typeclasses for power-associative structures
In this file we define power-associativity for algebraic structures with a multiplication operation.
The class is a Prop-valued mixin named `NatPowAssoc`.
## Results
- `npow_add` a defining property: `x ^ (k + n) = x ^ k * x ^ n`
- `npow_one` a defining property: `x ^ 1 = x`
- `npow_assoc` strictly positive powers of an element have associative multiplication.
- `npow_comm` `x ^ m * x ^ n = x ^ n * x ^ m` for strictly positive `m` and `n`.
- `npow_mul` `x ^ (m * n) = (x ^ m) ^ n` for strictly positive `m` and `n`.
- `npow_eq_pow` monoid exponentiation coincides with semigroup exponentiation.
## Instances
We also produce the following instances:
- `NatPowAssoc` for Monoids, Pi types and products.
## Todo
* to_additive?
-/
assert_not_exists DenselyOrdered
variable {M : Type*}
/-- A mixin for power-associative multiplication. -/
class NatPowAssoc (M : Type*) [MulOneClass M] [Pow M ℕ] : Prop where
/-- Multiplication is power-associative. -/
protected npow_add : ∀ (k n: ℕ) (x : M), x ^ (k + n) = x ^ k * x ^ n
/-- Exponent zero is one. -/
protected npow_zero : ∀ (x : M), x ^ 0 = 1
/-- Exponent one is identity. -/
protected npow_one : ∀ (x : M), x ^ 1 = x
section MulOneClass
variable [MulOneClass M] [Pow M ℕ] [NatPowAssoc M]
theorem npow_add (k n : ℕ) (x : M) : x ^ (k + n) = x ^ k * x ^ n :=
NatPowAssoc.npow_add k n x
@[simp]
theorem npow_zero (x : M) : x ^ 0 = 1 :=
NatPowAssoc.npow_zero x
@[simp]
theorem npow_one (x : M) : x ^ 1 = x :=
NatPowAssoc.npow_one x
| Mathlib/Algebra/Group/NatPowAssoc.lean | 65 | 67 | theorem npow_mul_assoc (k m n : ℕ) (x : M) :
(x ^ k * x ^ m) * x ^ n = x ^ k * (x ^ m * x ^ n) := by |
simp only [← npow_add, add_assoc]
|
/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Patrick Massot, Casper Putz, Anne Baanen
-/
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
#align_import linear_algebra.matrix.reindex from "leanprover-community/mathlib"@"1cfdf5f34e1044ecb65d10be753008baaf118edf"
/-!
# Changing the index type of a matrix
This file concerns the map `Matrix.reindex`, mapping a `m` by `n` matrix
to an `m'` by `n'` matrix, as long as `m ≃ m'` and `n ≃ n'`.
## Main definitions
* `Matrix.reindexLinearEquiv R A`: `Matrix.reindex` is an `R`-linear equivalence between
`A`-matrices.
* `Matrix.reindexAlgEquiv R`: `Matrix.reindex` is an `R`-algebra equivalence between `R`-matrices.
## Tags
matrix, reindex
-/
namespace Matrix
open Equiv Matrix
variable {l m n o : Type*} {l' m' n' o' : Type*} {m'' n'' : Type*}
variable (R A : Type*)
section AddCommMonoid
variable [Semiring R] [AddCommMonoid A] [Module R A]
/-- The natural map that reindexes a matrix's rows and columns with equivalent types,
`Matrix.reindex`, is a linear equivalence. -/
def reindexLinearEquiv (eₘ : m ≃ m') (eₙ : n ≃ n') : Matrix m n A ≃ₗ[R] Matrix m' n' A :=
{ reindex eₘ eₙ with
map_add' := fun _ _ => rfl
map_smul' := fun _ _ => rfl }
#align matrix.reindex_linear_equiv Matrix.reindexLinearEquiv
@[simp]
theorem reindexLinearEquiv_apply (eₘ : m ≃ m') (eₙ : n ≃ n') (M : Matrix m n A) :
reindexLinearEquiv R A eₘ eₙ M = reindex eₘ eₙ M :=
rfl
#align matrix.reindex_linear_equiv_apply Matrix.reindexLinearEquiv_apply
@[simp]
theorem reindexLinearEquiv_symm (eₘ : m ≃ m') (eₙ : n ≃ n') :
(reindexLinearEquiv R A eₘ eₙ).symm = reindexLinearEquiv R A eₘ.symm eₙ.symm :=
rfl
#align matrix.reindex_linear_equiv_symm Matrix.reindexLinearEquiv_symm
@[simp]
theorem reindexLinearEquiv_refl_refl :
reindexLinearEquiv R A (Equiv.refl m) (Equiv.refl n) = LinearEquiv.refl R _ :=
LinearEquiv.ext fun _ => rfl
#align matrix.reindex_linear_equiv_refl_refl Matrix.reindexLinearEquiv_refl_refl
theorem reindexLinearEquiv_trans (e₁ : m ≃ m') (e₂ : n ≃ n') (e₁' : m' ≃ m'') (e₂' : n' ≃ n'') :
(reindexLinearEquiv R A e₁ e₂).trans (reindexLinearEquiv R A e₁' e₂') =
(reindexLinearEquiv R A (e₁.trans e₁') (e₂.trans e₂') : _ ≃ₗ[R] _) := by
ext
rfl
#align matrix.reindex_linear_equiv_trans Matrix.reindexLinearEquiv_trans
| Mathlib/LinearAlgebra/Matrix/Reindex.lean | 73 | 77 | theorem reindexLinearEquiv_comp (e₁ : m ≃ m') (e₂ : n ≃ n') (e₁' : m' ≃ m'') (e₂' : n' ≃ n'') :
reindexLinearEquiv R A e₁' e₂' ∘ reindexLinearEquiv R A e₁ e₂ =
reindexLinearEquiv R A (e₁.trans e₁') (e₂.trans e₂') := by |
rw [← reindexLinearEquiv_trans]
rfl
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.Data.Nat.ModEq
import Mathlib.Tactic.Abel
import Mathlib.Tactic.GCongr.Core
#align_import data.int.modeq from "leanprover-community/mathlib"@"47a1a73351de8dd6c8d3d32b569c8e434b03ca47"
/-!
# Congruences modulo an integer
This file defines the equivalence relation `a ≡ b [ZMOD n]` on the integers, similarly to how
`Data.Nat.ModEq` defines them for the natural numbers. The notation is short for `n.ModEq a b`,
which is defined to be `a % n = b % n` for integers `a b n`.
## Tags
modeq, congruence, mod, MOD, modulo, integers
-/
namespace Int
/-- `a ≡ b [ZMOD n]` when `a % n = b % n`. -/
def ModEq (n a b : ℤ) :=
a % n = b % n
#align int.modeq Int.ModEq
@[inherit_doc]
notation:50 a " ≡ " b " [ZMOD " n "]" => ModEq n a b
variable {m n a b c d : ℤ}
-- Porting note: This instance should be derivable automatically
instance : Decidable (ModEq n a b) := decEq (a % n) (b % n)
namespace ModEq
@[refl, simp]
protected theorem refl (a : ℤ) : a ≡ a [ZMOD n] :=
@rfl _ _
#align int.modeq.refl Int.ModEq.refl
protected theorem rfl : a ≡ a [ZMOD n] :=
ModEq.refl _
#align int.modeq.rfl Int.ModEq.rfl
instance : IsRefl _ (ModEq n) :=
⟨ModEq.refl⟩
@[symm]
protected theorem symm : a ≡ b [ZMOD n] → b ≡ a [ZMOD n] :=
Eq.symm
#align int.modeq.symm Int.ModEq.symm
@[trans]
protected theorem trans : a ≡ b [ZMOD n] → b ≡ c [ZMOD n] → a ≡ c [ZMOD n] :=
Eq.trans
#align int.modeq.trans Int.ModEq.trans
instance : IsTrans ℤ (ModEq n) where
trans := @Int.ModEq.trans n
protected theorem eq : a ≡ b [ZMOD n] → a % n = b % n := id
#align int.modeq.eq Int.ModEq.eq
end ModEq
theorem modEq_comm : a ≡ b [ZMOD n] ↔ b ≡ a [ZMOD n] := ⟨ModEq.symm, ModEq.symm⟩
#align int.modeq_comm Int.modEq_comm
theorem natCast_modEq_iff {a b n : ℕ} : a ≡ b [ZMOD n] ↔ a ≡ b [MOD n] := by
unfold ModEq Nat.ModEq; rw [← Int.ofNat_inj]; simp [natCast_mod]
#align int.coe_nat_modeq_iff Int.natCast_modEq_iff
| Mathlib/Data/Int/ModEq.lean | 81 | 82 | theorem modEq_zero_iff_dvd : a ≡ 0 [ZMOD n] ↔ n ∣ a := by |
rw [ModEq, zero_emod, dvd_iff_emod_eq_zero]
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Anne Baanen
-/
import Mathlib.Tactic.Ring.Basic
import Mathlib.Tactic.TryThis
import Mathlib.Tactic.Conv
import Mathlib.Util.Qq
/-!
# `ring_nf` tactic
A tactic which uses `ring` to rewrite expressions. This can be used non-terminally to normalize
ring expressions in the goal such as `⊢ P (x + x + x)` ~> `⊢ P (x * 3)`, as well as being able to
prove some equations that `ring` cannot because they involve ring reasoning inside a subterm,
such as `sin (x + y) + sin (y + x) = 2 * sin (x + y)`.
-/
set_option autoImplicit true
-- In this file we would like to be able to use multi-character auto-implicits.
set_option relaxedAutoImplicit true
namespace Mathlib.Tactic
open Lean hiding Rat
open Qq Meta
namespace Ring
/-- True if this represents an atomic expression. -/
def ExBase.isAtom : ExBase sα a → Bool
| .atom _ => true
| _ => false
/-- True if this represents an atomic expression. -/
def ExProd.isAtom : ExProd sα a → Bool
| .mul va₁ (.const 1 _) (.const 1 _) => va₁.isAtom
| _ => false
/-- True if this represents an atomic expression. -/
def ExSum.isAtom : ExSum sα a → Bool
| .add va₁ va₂ => match va₂ with -- FIXME: this takes a while to compile as one match
| .zero => va₁.isAtom
| _ => false
| _ => false
end Ring
namespace RingNF
open Ring
/-- The normalization style for `ring_nf`. -/
inductive RingMode where
/-- Sum-of-products form, like `x + x * y * 2 + z ^ 2`. -/
| SOP
/-- Raw form: the representation `ring` uses internally. -/
| raw
deriving Inhabited, BEq, Repr
/-- Configuration for `ring_nf`. -/
structure Config where
/-- the reducibility setting to use when comparing atoms for defeq -/
red := TransparencyMode.reducible
/-- if true, atoms inside ring expressions will be reduced recursively -/
recursive := true
/-- The normalization style. -/
mode := RingMode.SOP
deriving Inhabited, BEq, Repr
/-- Function elaborating `RingNF.Config`. -/
declare_config_elab elabConfig Config
/-- The read-only state of the `RingNF` monad. -/
structure Context where
/-- A basically empty simp context, passed to the `simp` traversal in `RingNF.rewrite`. -/
ctx : Simp.Context
/-- A cleanup routine, which simplifies normalized polynomials to a more human-friendly
format. -/
simp : Simp.Result → SimpM Simp.Result
/-- The monad for `RingNF` contains, in addition to the `AtomM` state,
a simp context for the main traversal and a simp function (which has another simp context)
to simplify normalized polynomials. -/
abbrev M := ReaderT Context AtomM
/--
A tactic in the `RingNF.M` monad which will simplify expression `parent` to a normal form.
* `root`: true if this is a direct call to the function.
`RingNF.M.run` sets this to `false` in recursive mode.
-/
def rewrite (parent : Expr) (root := true) : M Simp.Result :=
fun nctx rctx s ↦ do
let pre : Simp.Simproc := fun e =>
try
guard <| root || parent != e -- recursion guard
let e ← withReducible <| whnf e
guard e.isApp -- all interesting ring expressions are applications
let ⟨u, α, e⟩ ← inferTypeQ' e
let sα ← synthInstanceQ (q(CommSemiring $α) : Q(Type u))
let c ← mkCache sα
let ⟨a, _, pa⟩ ← match ← isAtomOrDerivable sα c e rctx s with
| none => eval sα c e rctx s -- `none` indicates that `eval` will find something algebraic.
| some none => failure -- No point rewriting atoms
| some (some r) => pure r -- Nothing algebraic for `eval` to use, but `norm_num` simplifies.
let r ← nctx.simp { expr := a, proof? := pa }
if ← withReducible <| isDefEq r.expr e then return .done { expr := r.expr }
pure (.done r)
catch _ => pure <| .continue
let post := Simp.postDefault #[]
(·.1) <$> Simp.main parent nctx.ctx (methods := { pre, post })
variable [CommSemiring R]
theorem add_assoc_rev (a b c : R) : a + (b + c) = a + b + c := (add_assoc ..).symm
theorem mul_assoc_rev (a b c : R) : a * (b * c) = a * b * c := (mul_assoc ..).symm
theorem mul_neg {R} [Ring R] (a b : R) : a * -b = -(a * b) := by simp
theorem add_neg {R} [Ring R] (a b : R) : a + -b = a - b := (sub_eq_add_neg ..).symm
| Mathlib/Tactic/Ring/RingNF.lean | 120 | 120 | theorem nat_rawCast_0 : (Nat.rawCast 0 : R) = 0 := by | simp
|
/-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Justus Springer
-/
import Mathlib.Order.CompleteLattice
import Mathlib.Data.Finset.Lattice
import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks
import Mathlib.CategoryTheory.Category.Preorder
import Mathlib.CategoryTheory.Limits.Shapes.Products
import Mathlib.CategoryTheory.Limits.Shapes.FiniteLimits
#align_import category_theory.limits.lattice from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395"
/-!
# Limits in lattice categories are given by infimums and supremums.
-/
universe w u
open CategoryTheory
open CategoryTheory.Limits
namespace CategoryTheory.Limits.CompleteLattice
section Semilattice
variable {α : Type u}
variable {J : Type w} [SmallCategory J] [FinCategory J]
/-- The limit cone over any functor from a finite diagram into a `SemilatticeInf` with `OrderTop`.
-/
def finiteLimitCone [SemilatticeInf α] [OrderTop α] (F : J ⥤ α) : LimitCone F where
cone :=
{ pt := Finset.univ.inf F.obj
π := { app := fun j => homOfLE (Finset.inf_le (Fintype.complete _)) } }
isLimit := { lift := fun s => homOfLE (Finset.le_inf fun j _ => (s.π.app j).down.down) }
#align category_theory.limits.complete_lattice.finite_limit_cone CategoryTheory.Limits.CompleteLattice.finiteLimitCone
/--
The colimit cocone over any functor from a finite diagram into a `SemilatticeSup` with `OrderBot`.
-/
def finiteColimitCocone [SemilatticeSup α] [OrderBot α] (F : J ⥤ α) : ColimitCocone F where
cocone :=
{ pt := Finset.univ.sup F.obj
ι := { app := fun i => homOfLE (Finset.le_sup (Fintype.complete _)) } }
isColimit := { desc := fun s => homOfLE (Finset.sup_le fun j _ => (s.ι.app j).down.down) }
#align category_theory.limits.complete_lattice.finite_colimit_cocone CategoryTheory.Limits.CompleteLattice.finiteColimitCocone
-- see Note [lower instance priority]
instance (priority := 100) hasFiniteLimits_of_semilatticeInf_orderTop [SemilatticeInf α]
[OrderTop α] : HasFiniteLimits α := ⟨by
intro J 𝒥₁ 𝒥₂
exact { has_limit := fun F => HasLimit.mk (finiteLimitCone F) }⟩
#align category_theory.limits.complete_lattice.has_finite_limits_of_semilattice_inf_order_top CategoryTheory.Limits.CompleteLattice.hasFiniteLimits_of_semilatticeInf_orderTop
-- see Note [lower instance priority]
instance (priority := 100) hasFiniteColimits_of_semilatticeSup_orderBot [SemilatticeSup α]
[OrderBot α] : HasFiniteColimits α := ⟨by
intro J 𝒥₁ 𝒥₂
exact { has_colimit := fun F => HasColimit.mk (finiteColimitCocone F) }⟩
#align category_theory.limits.complete_lattice.has_finite_colimits_of_semilattice_sup_order_bot CategoryTheory.Limits.CompleteLattice.hasFiniteColimits_of_semilatticeSup_orderBot
/-- The limit of a functor from a finite diagram into a `SemilatticeInf` with `OrderTop` is the
infimum of the objects in the image.
-/
theorem finite_limit_eq_finset_univ_inf [SemilatticeInf α] [OrderTop α] (F : J ⥤ α) :
limit F = Finset.univ.inf F.obj :=
(IsLimit.conePointUniqueUpToIso (limit.isLimit F) (finiteLimitCone F).isLimit).to_eq
#align category_theory.limits.complete_lattice.finite_limit_eq_finset_univ_inf CategoryTheory.Limits.CompleteLattice.finite_limit_eq_finset_univ_inf
/-- The colimit of a functor from a finite diagram into a `SemilatticeSup` with `OrderBot`
is the supremum of the objects in the image.
-/
theorem finite_colimit_eq_finset_univ_sup [SemilatticeSup α] [OrderBot α] (F : J ⥤ α) :
colimit F = Finset.univ.sup F.obj :=
(IsColimit.coconePointUniqueUpToIso (colimit.isColimit F) (finiteColimitCocone F).isColimit).to_eq
#align category_theory.limits.complete_lattice.finite_colimit_eq_finset_univ_sup CategoryTheory.Limits.CompleteLattice.finite_colimit_eq_finset_univ_sup
/--
A finite product in the category of a `SemilatticeInf` with `OrderTop` is the same as the infimum.
-/
theorem finite_product_eq_finset_inf [SemilatticeInf α] [OrderTop α] {ι : Type u} [Fintype ι]
(f : ι → α) : ∏ᶜ f = Fintype.elems.inf f := by
trans
· exact
(IsLimit.conePointUniqueUpToIso (limit.isLimit _)
(finiteLimitCone (Discrete.functor f)).isLimit).to_eq
change Finset.univ.inf (f ∘ discreteEquiv.toEmbedding) = Fintype.elems.inf f
simp only [← Finset.inf_map, Finset.univ_map_equiv_to_embedding]
rfl
#align category_theory.limits.complete_lattice.finite_product_eq_finset_inf CategoryTheory.Limits.CompleteLattice.finite_product_eq_finset_inf
/-- A finite coproduct in the category of a `SemilatticeSup` with `OrderBot` is the same as the
supremum.
-/
| Mathlib/CategoryTheory/Limits/Lattice.lean | 99 | 107 | theorem finite_coproduct_eq_finset_sup [SemilatticeSup α] [OrderBot α] {ι : Type u} [Fintype ι]
(f : ι → α) : ∐ f = Fintype.elems.sup f := by |
trans
· exact
(IsColimit.coconePointUniqueUpToIso (colimit.isColimit _)
(finiteColimitCocone (Discrete.functor f)).isColimit).to_eq
change Finset.univ.sup (f ∘ discreteEquiv.toEmbedding) = Fintype.elems.sup f
simp only [← Finset.sup_map, Finset.univ_map_equiv_to_embedding]
rfl
|
/-
Copyright (c) 2022 Felix Weilacher. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Felix Weilacher
-/
import Mathlib.Topology.Separation
/-!
# Perfect Sets
In this file we define perfect subsets of a topological space, and prove some basic properties,
including a version of the Cantor-Bendixson Theorem.
## Main Definitions
* `Perfect C`: A set `C` is perfect, meaning it is closed and every point of it
is an accumulation point of itself.
* `PerfectSpace X`: A topological space `X` is perfect if its universe is a perfect set.
## Main Statements
* `Perfect.splitting`: A perfect nonempty set contains two disjoint perfect nonempty subsets.
The main inductive step in the construction of an embedding from the Cantor space to a
perfect nonempty complete metric space.
* `exists_countable_union_perfect_of_isClosed`: One version of the **Cantor-Bendixson Theorem**:
A closed set in a second countable space can be written as the union of a countable set and a
perfect set.
## Implementation Notes
We do not require perfect sets to be nonempty.
We define a nonstandard predicate, `Preperfect`, which drops the closed-ness requirement
from the definition of perfect. In T1 spaces, this is equivalent to having a perfect closure,
see `preperfect_iff_perfect_closure`.
## See also
`Mathlib.Topology.MetricSpace.Perfect`, for properties of perfect sets in metric spaces,
namely Polish spaces.
## References
* [kechris1995] (Chapters 6-7)
## Tags
accumulation point, perfect set, cantor-bendixson.
-/
open Topology Filter Set TopologicalSpace
section Basic
variable {α : Type*} [TopologicalSpace α] {C : Set α}
/-- If `x` is an accumulation point of a set `C` and `U` is a neighborhood of `x`,
then `x` is an accumulation point of `U ∩ C`. -/
theorem AccPt.nhds_inter {x : α} {U : Set α} (h_acc : AccPt x (𝓟 C)) (hU : U ∈ 𝓝 x) :
AccPt x (𝓟 (U ∩ C)) := by
have : 𝓝[≠] x ≤ 𝓟 U := by
rw [le_principal_iff]
exact mem_nhdsWithin_of_mem_nhds hU
rw [AccPt, ← inf_principal, ← inf_assoc, inf_of_le_left this]
exact h_acc
#align acc_pt.nhds_inter AccPt.nhds_inter
/-- A set `C` is preperfect if all of its points are accumulation points of itself.
If `C` is nonempty and `α` is a T1 space, this is equivalent to the closure of `C` being perfect.
See `preperfect_iff_perfect_closure`. -/
def Preperfect (C : Set α) : Prop :=
∀ x ∈ C, AccPt x (𝓟 C)
#align preperfect Preperfect
/-- A set `C` is called perfect if it is closed and all of its
points are accumulation points of itself.
Note that we do not require `C` to be nonempty. -/
@[mk_iff perfect_def]
structure Perfect (C : Set α) : Prop where
closed : IsClosed C
acc : Preperfect C
#align perfect Perfect
theorem preperfect_iff_nhds : Preperfect C ↔ ∀ x ∈ C, ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by
simp only [Preperfect, accPt_iff_nhds]
#align preperfect_iff_nhds preperfect_iff_nhds
section PerfectSpace
variable (α)
/--
A topological space `X` is said to be perfect if its universe is a perfect set.
Equivalently, this means that `𝓝[≠] x ≠ ⊥` for every point `x : X`.
-/
@[mk_iff perfectSpace_def]
class PerfectSpace : Prop :=
univ_preperfect : Preperfect (Set.univ : Set α)
theorem PerfectSpace.univ_perfect [PerfectSpace α] : Perfect (Set.univ : Set α) :=
⟨isClosed_univ, PerfectSpace.univ_preperfect⟩
end PerfectSpace
section Preperfect
/-- The intersection of a preperfect set and an open set is preperfect. -/
theorem Preperfect.open_inter {U : Set α} (hC : Preperfect C) (hU : IsOpen U) :
Preperfect (U ∩ C) := by
rintro x ⟨xU, xC⟩
apply (hC _ xC).nhds_inter
exact hU.mem_nhds xU
#align preperfect.open_inter Preperfect.open_inter
/-- The closure of a preperfect set is perfect.
For a converse, see `preperfect_iff_perfect_closure`. -/
theorem Preperfect.perfect_closure (hC : Preperfect C) : Perfect (closure C) := by
constructor; · exact isClosed_closure
intro x hx
by_cases h : x ∈ C <;> apply AccPt.mono _ (principal_mono.mpr subset_closure)
· exact hC _ h
have : {x}ᶜ ∩ C = C := by simp [h]
rw [AccPt, nhdsWithin, inf_assoc, inf_principal, this]
rw [closure_eq_cluster_pts] at hx
exact hx
#align preperfect.perfect_closure Preperfect.perfect_closure
/-- In a T1 space, being preperfect is equivalent to having perfect closure. -/
theorem preperfect_iff_perfect_closure [T1Space α] : Preperfect C ↔ Perfect (closure C) := by
constructor <;> intro h
· exact h.perfect_closure
intro x xC
have H : AccPt x (𝓟 (closure C)) := h.acc _ (subset_closure xC)
rw [accPt_iff_frequently] at *
have : ∀ y, y ≠ x ∧ y ∈ closure C → ∃ᶠ z in 𝓝 y, z ≠ x ∧ z ∈ C := by
rintro y ⟨hyx, yC⟩
simp only [← mem_compl_singleton_iff, and_comm, ← frequently_nhdsWithin_iff,
hyx.nhdsWithin_compl_singleton, ← mem_closure_iff_frequently]
exact yC
rw [← frequently_frequently_nhds]
exact H.mono this
#align preperfect_iff_perfect_closure preperfect_iff_perfect_closure
| Mathlib/Topology/Perfect.lean | 147 | 153 | theorem Perfect.closure_nhds_inter {U : Set α} (hC : Perfect C) (x : α) (xC : x ∈ C) (xU : x ∈ U)
(Uop : IsOpen U) : Perfect (closure (U ∩ C)) ∧ (closure (U ∩ C)).Nonempty := by |
constructor
· apply Preperfect.perfect_closure
exact hC.acc.open_inter Uop
apply Nonempty.closure
exact ⟨x, ⟨xU, xC⟩⟩
|
/-
Copyright (c) 2017 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura
-/
import Mathlib.Init.Logic
import Mathlib.Tactic.AdaptationNote
import Mathlib.Tactic.Coe
/-!
# Lemmas about booleans
These are the lemmas about booleans which were present in core Lean 3. See also
the file Mathlib.Data.Bool.Basic which contains lemmas about booleans from
mathlib 3.
-/
set_option autoImplicit true
-- We align Lean 3 lemmas with lemmas in `Init.SimpLemmas` in Lean 4.
#align band_self Bool.and_self
#align band_tt Bool.and_true
#align band_ff Bool.and_false
#align tt_band Bool.true_and
#align ff_band Bool.false_and
#align bor_self Bool.or_self
#align bor_tt Bool.or_true
#align bor_ff Bool.or_false
#align tt_bor Bool.true_or
#align ff_bor Bool.false_or
#align bnot_bnot Bool.not_not
namespace Bool
#align bool.cond_tt Bool.cond_true
#align bool.cond_ff Bool.cond_false
#align cond_a_a Bool.cond_self
attribute [simp] xor_self
#align bxor_self Bool.xor_self
#align bxor_tt Bool.xor_true
#align bxor_ff Bool.xor_false
#align tt_bxor Bool.true_xor
#align ff_bxor Bool.false_xor
theorem true_eq_false_eq_False : ¬true = false := by decide
#align tt_eq_ff_eq_false Bool.true_eq_false_eq_False
| Mathlib/Init/Data/Bool/Lemmas.lean | 51 | 51 | theorem false_eq_true_eq_False : ¬false = true := by | decide
|
/-
Copyright (c) 2018 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.NormedSpace.lpSpace
import Mathlib.Topology.Sets.Compacts
#align_import topology.metric_space.kuratowski from "leanprover-community/mathlib"@"95d4f6586d313c8c28e00f36621d2a6a66893aa6"
/-!
# The Kuratowski embedding
Any separable metric space can be embedded isometrically in `ℓ^∞(ℕ, ℝ)`.
Any partially defined Lipschitz map into `ℓ^∞` can be extended to the whole space.
-/
noncomputable section
set_option linter.uppercaseLean3 false
open Set Metric TopologicalSpace NNReal ENNReal lp Function
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
namespace KuratowskiEmbedding
/-! ### Any separable metric space can be embedded isometrically in ℓ^∞(ℕ, ℝ) -/
variable {f g : ℓ^∞(ℕ)} {n : ℕ} {C : ℝ} [MetricSpace α] (x : ℕ → α) (a b : α)
/-- A metric space can be embedded in `l^∞(ℝ)` via the distances to points in
a fixed countable set, if this set is dense. This map is given in `kuratowskiEmbedding`,
without density assumptions. -/
def embeddingOfSubset : ℓ^∞(ℕ) :=
⟨fun n => dist a (x n) - dist (x 0) (x n), by
apply memℓp_infty
use dist a (x 0)
rintro - ⟨n, rfl⟩
exact abs_dist_sub_le _ _ _⟩
#align Kuratowski_embedding.embedding_of_subset KuratowskiEmbedding.embeddingOfSubset
theorem embeddingOfSubset_coe : embeddingOfSubset x a n = dist a (x n) - dist (x 0) (x n) :=
rfl
#align Kuratowski_embedding.embedding_of_subset_coe KuratowskiEmbedding.embeddingOfSubset_coe
/-- The embedding map is always a semi-contraction. -/
theorem embeddingOfSubset_dist_le (a b : α) :
dist (embeddingOfSubset x a) (embeddingOfSubset x b) ≤ dist a b := by
refine lp.norm_le_of_forall_le dist_nonneg fun n => ?_
simp only [lp.coeFn_sub, Pi.sub_apply, embeddingOfSubset_coe, Real.dist_eq]
convert abs_dist_sub_le a b (x n) using 2
ring
#align Kuratowski_embedding.embedding_of_subset_dist_le KuratowskiEmbedding.embeddingOfSubset_dist_le
/-- When the reference set is dense, the embedding map is an isometry on its image. -/
theorem embeddingOfSubset_isometry (H : DenseRange x) : Isometry (embeddingOfSubset x) := by
refine Isometry.of_dist_eq fun a b => ?_
refine (embeddingOfSubset_dist_le x a b).antisymm (le_of_forall_pos_le_add fun e epos => ?_)
-- First step: find n with dist a (x n) < e
rcases Metric.mem_closure_range_iff.1 (H a) (e / 2) (half_pos epos) with ⟨n, hn⟩
-- Second step: use the norm control at index n to conclude
have C : dist b (x n) - dist a (x n) = embeddingOfSubset x b n - embeddingOfSubset x a n := by
simp only [embeddingOfSubset_coe, sub_sub_sub_cancel_right]
have :=
calc
dist a b ≤ dist a (x n) + dist (x n) b := dist_triangle _ _ _
_ = 2 * dist a (x n) + (dist b (x n) - dist a (x n)) := by simp [dist_comm]; ring
_ ≤ 2 * dist a (x n) + |dist b (x n) - dist a (x n)| := by
apply_rules [add_le_add_left, le_abs_self]
_ ≤ 2 * (e / 2) + |embeddingOfSubset x b n - embeddingOfSubset x a n| := by
rw [C]
apply_rules [add_le_add, mul_le_mul_of_nonneg_left, hn.le, le_refl]
norm_num
_ ≤ 2 * (e / 2) + dist (embeddingOfSubset x b) (embeddingOfSubset x a) := by
have : |embeddingOfSubset x b n - embeddingOfSubset x a n| ≤
dist (embeddingOfSubset x b) (embeddingOfSubset x a) := by
simp only [dist_eq_norm]
exact lp.norm_apply_le_norm ENNReal.top_ne_zero
(embeddingOfSubset x b - embeddingOfSubset x a) n
nlinarith
_ = dist (embeddingOfSubset x b) (embeddingOfSubset x a) + e := by ring
simpa [dist_comm] using this
#align Kuratowski_embedding.embedding_of_subset_isometry KuratowskiEmbedding.embeddingOfSubset_isometry
/-- Every separable metric space embeds isometrically in `ℓ^∞(ℕ)`. -/
| Mathlib/Topology/MetricSpace/Kuratowski.lean | 91 | 102 | theorem exists_isometric_embedding (α : Type u) [MetricSpace α] [SeparableSpace α] :
∃ f : α → ℓ^∞(ℕ), Isometry f := by |
rcases (univ : Set α).eq_empty_or_nonempty with h | h
· use fun _ => 0; intro x; exact absurd h (Nonempty.ne_empty ⟨x, mem_univ x⟩)
· -- We construct a map x : ℕ → α with dense image
rcases h with ⟨basepoint⟩
haveI : Inhabited α := ⟨basepoint⟩
have : ∃ s : Set α, s.Countable ∧ Dense s := exists_countable_dense α
rcases this with ⟨S, ⟨S_countable, S_dense⟩⟩
rcases Set.countable_iff_exists_subset_range.1 S_countable with ⟨x, x_range⟩
-- Use embeddingOfSubset to construct the desired isometry
exact ⟨embeddingOfSubset x, embeddingOfSubset_isometry x (S_dense.mono x_range)⟩
|
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Algebra.Group.Submonoid.Membership
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Ring.Action.Subobjects
import Mathlib.Algebra.Ring.Equiv
import Mathlib.Algebra.Ring.Prod
import Mathlib.Data.Set.Finite
import Mathlib.GroupTheory.Submonoid.Centralizer
import Mathlib.RingTheory.NonUnitalSubsemiring.Basic
#align_import ring_theory.subsemiring.basic from "leanprover-community/mathlib"@"b915e9392ecb2a861e1e766f0e1df6ac481188ca"
/-!
# Bundled subsemirings
We define bundled subsemirings and some standard constructions: `CompleteLattice` structure,
`Subtype` and `inclusion` ring homomorphisms, subsemiring `map`, `comap` and range (`rangeS`) of
a `RingHom` etc.
-/
universe u v w
section AddSubmonoidWithOneClass
/-- `AddSubmonoidWithOneClass S R` says `S` is a type of subsets `s ≤ R` that contain `0`, `1`,
and are closed under `(+)` -/
class AddSubmonoidWithOneClass (S R : Type*) [AddMonoidWithOne R]
[SetLike S R] extends AddSubmonoidClass S R, OneMemClass S R : Prop
#align add_submonoid_with_one_class AddSubmonoidWithOneClass
variable {S R : Type*} [AddMonoidWithOne R] [SetLike S R] (s : S)
@[aesop safe apply (rule_sets := [SetLike])]
theorem natCast_mem [AddSubmonoidWithOneClass S R] (n : ℕ) : (n : R) ∈ s := by
induction n <;> simp [zero_mem, add_mem, one_mem, *]
#align nat_cast_mem natCast_mem
#align coe_nat_mem natCast_mem
-- 2024-04-05
@[deprecated] alias coe_nat_mem := natCast_mem
@[aesop safe apply (rule_sets := [SetLike])]
lemma ofNat_mem [AddSubmonoidWithOneClass S R] (s : S) (n : ℕ) [n.AtLeastTwo] :
no_index (OfNat.ofNat n) ∈ s := by
rw [← Nat.cast_eq_ofNat]; exact natCast_mem s n
instance (priority := 74) AddSubmonoidWithOneClass.toAddMonoidWithOne
[AddSubmonoidWithOneClass S R] : AddMonoidWithOne s :=
{ AddSubmonoidClass.toAddMonoid s with
one := ⟨_, one_mem s⟩
natCast := fun n => ⟨n, natCast_mem s n⟩
natCast_zero := Subtype.ext Nat.cast_zero
natCast_succ := fun _ => Subtype.ext (Nat.cast_succ _) }
#align add_submonoid_with_one_class.to_add_monoid_with_one AddSubmonoidWithOneClass.toAddMonoidWithOne
end AddSubmonoidWithOneClass
variable {R : Type u} {S : Type v} {T : Type w} [NonAssocSemiring R] (M : Submonoid R)
section SubsemiringClass
/-- `SubsemiringClass S R` states that `S` is a type of subsets `s ⊆ R` that
are both a multiplicative and an additive submonoid. -/
class SubsemiringClass (S : Type*) (R : Type u) [NonAssocSemiring R]
[SetLike S R] extends SubmonoidClass S R, AddSubmonoidClass S R : Prop
#align subsemiring_class SubsemiringClass
-- See note [lower instance priority]
instance (priority := 100) SubsemiringClass.addSubmonoidWithOneClass (S : Type*)
(R : Type u) [NonAssocSemiring R] [SetLike S R] [h : SubsemiringClass S R] :
AddSubmonoidWithOneClass S R :=
{ h with }
#align subsemiring_class.add_submonoid_with_one_class SubsemiringClass.addSubmonoidWithOneClass
variable [SetLike S R] [hSR : SubsemiringClass S R] (s : S)
namespace SubsemiringClass
-- Prefer subclasses of `NonAssocSemiring` over subclasses of `SubsemiringClass`.
/-- A subsemiring of a `NonAssocSemiring` inherits a `NonAssocSemiring` structure -/
instance (priority := 75) toNonAssocSemiring : NonAssocSemiring s :=
Subtype.coe_injective.nonAssocSemiring (↑) rfl rfl (fun _ _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) fun _ => rfl
#align subsemiring_class.to_non_assoc_semiring SubsemiringClass.toNonAssocSemiring
instance nontrivial [Nontrivial R] : Nontrivial s :=
nontrivial_of_ne 0 1 fun H => zero_ne_one (congr_arg Subtype.val H)
#align subsemiring_class.nontrivial SubsemiringClass.nontrivial
instance noZeroDivisors [NoZeroDivisors R] : NoZeroDivisors s :=
Subtype.coe_injective.noZeroDivisors _ rfl fun _ _ => rfl
#align subsemiring_class.no_zero_divisors SubsemiringClass.noZeroDivisors
/-- The natural ring hom from a subsemiring of semiring `R` to `R`. -/
def subtype : s →+* R :=
{ SubmonoidClass.subtype s, AddSubmonoidClass.subtype s with toFun := (↑) }
#align subsemiring_class.subtype SubsemiringClass.subtype
@[simp]
theorem coe_subtype : (subtype s : s → R) = ((↑) : s → R) :=
rfl
#align subsemiring_class.coe_subtype SubsemiringClass.coe_subtype
-- Prefer subclasses of `Semiring` over subclasses of `SubsemiringClass`.
/-- A subsemiring of a `Semiring` is a `Semiring`. -/
instance (priority := 75) toSemiring {R} [Semiring R] [SetLike S R] [SubsemiringClass S R] :
Semiring s :=
Subtype.coe_injective.semiring (↑) rfl rfl (fun _ _ => rfl) (fun _ _ => rfl) (fun _ _ => rfl)
(fun _ _ => rfl) fun _ => rfl
#align subsemiring_class.to_semiring SubsemiringClass.toSemiring
@[simp, norm_cast]
| Mathlib/Algebra/Ring/Subsemiring/Basic.lean | 118 | 122 | theorem coe_pow {R} [Semiring R] [SetLike S R] [SubsemiringClass S R] (x : s) (n : ℕ) :
((x ^ n : s) : R) = (x : R) ^ n := by |
induction' n with n ih
· simp
· simp [pow_succ, ih]
|
/-
Copyright (c) 2020 Fox Thomson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Fox Thomson, Martin Dvorak
-/
import Mathlib.Algebra.Order.Kleene
import Mathlib.Algebra.Ring.Hom.Defs
import Mathlib.Data.List.Join
import Mathlib.Data.Set.Lattice
import Mathlib.Tactic.DeriveFintype
#align_import computability.language from "leanprover-community/mathlib"@"a239cd3e7ac2c7cde36c913808f9d40c411344f6"
/-!
# Languages
This file contains the definition and operations on formal languages over an alphabet.
Note that "strings" are implemented as lists over the alphabet.
Union and concatenation define a [Kleene algebra](https://en.wikipedia.org/wiki/Kleene_algebra)
over the languages.
In addition to that, we define a reversal of a language and prove that it behaves well
with respect to other language operations.
-/
open List Set Computability
universe v
variable {α β γ : Type*}
/-- A language is a set of strings over an alphabet. -/
def Language (α) :=
Set (List α)
#align language Language
instance : Membership (List α) (Language α) := ⟨Set.Mem⟩
instance : Singleton (List α) (Language α) := ⟨Set.singleton⟩
instance : Insert (List α) (Language α) := ⟨Set.insert⟩
instance : CompleteAtomicBooleanAlgebra (Language α) := Set.completeAtomicBooleanAlgebra
namespace Language
variable {l m : Language α} {a b x : List α}
-- Porting note: `reducible` attribute cannot be local.
-- attribute [local reducible] Language
/-- Zero language has no elements. -/
instance : Zero (Language α) :=
⟨(∅ : Set _)⟩
/-- `1 : Language α` contains only one element `[]`. -/
instance : One (Language α) :=
⟨{[]}⟩
instance : Inhabited (Language α) := ⟨(∅ : Set _)⟩
/-- The sum of two languages is their union. -/
instance : Add (Language α) :=
⟨((· ∪ ·) : Set (List α) → Set (List α) → Set (List α))⟩
/-- The product of two languages `l` and `m` is the language made of the strings `x ++ y` where
`x ∈ l` and `y ∈ m`. -/
instance : Mul (Language α) :=
⟨image2 (· ++ ·)⟩
theorem zero_def : (0 : Language α) = (∅ : Set _) :=
rfl
#align language.zero_def Language.zero_def
theorem one_def : (1 : Language α) = ({[]} : Set (List α)) :=
rfl
#align language.one_def Language.one_def
theorem add_def (l m : Language α) : l + m = (l ∪ m : Set (List α)) :=
rfl
#align language.add_def Language.add_def
theorem mul_def (l m : Language α) : l * m = image2 (· ++ ·) l m :=
rfl
#align language.mul_def Language.mul_def
/-- The Kleene star of a language `L` is the set of all strings which can be written by
concatenating strings from `L`. -/
instance : KStar (Language α) := ⟨fun l ↦ {x | ∃ L : List (List α), x = L.join ∧ ∀ y ∈ L, y ∈ l}⟩
lemma kstar_def (l : Language α) : l∗ = {x | ∃ L : List (List α), x = L.join ∧ ∀ y ∈ L, y ∈ l} :=
rfl
#align language.kstar_def Language.kstar_def
-- Porting note: `reducible` attribute cannot be local,
-- so this new theorem is required in place of `Set.ext`.
@[ext]
theorem ext {l m : Language α} (h : ∀ (x : List α), x ∈ l ↔ x ∈ m) : l = m :=
Set.ext h
@[simp]
theorem not_mem_zero (x : List α) : x ∉ (0 : Language α) :=
id
#align language.not_mem_zero Language.not_mem_zero
@[simp]
| Mathlib/Computability/Language.lean | 104 | 104 | theorem mem_one (x : List α) : x ∈ (1 : Language α) ↔ x = [] := by | rfl
|
/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Floris van Doorn
-/
import Mathlib.Geometry.Manifold.ContMDiff.Basic
/-!
## Smoothness of charts and local structomorphisms
We show that the model with corners, charts, extended charts and their inverses are smooth,
and that local structomorphisms are smooth with smooth inverses.
-/
open Set ChartedSpace SmoothManifoldWithCorners
open scoped Manifold
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
-- declare a smooth manifold `M` over the pair `(E, H)`.
{E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
{I : ModelWithCorners 𝕜 E H} {M : Type*} [TopologicalSpace M] [ChartedSpace H M]
[SmoothManifoldWithCorners I M]
-- declare a smooth manifold `M'` over the pair `(E', H')`.
{E' : Type*}
[NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H']
{I' : ModelWithCorners 𝕜 E' H'} {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M']
[SmoothManifoldWithCorners I' M']
-- declare functions, sets, points and smoothness indices
{e : PartialHomeomorph M H} {x : M} {m n : ℕ∞}
/-! ### Atlas members are smooth -/
section Atlas
| Mathlib/Geometry/Manifold/ContMDiff/Atlas.lean | 36 | 42 | theorem contMDiff_model : ContMDiff I 𝓘(𝕜, E) n I := by |
intro x
refine (contMDiffAt_iff _ _).mpr ⟨I.continuousAt, ?_⟩
simp only [mfld_simps]
refine contDiffWithinAt_id.congr_of_eventuallyEq ?_ ?_
· exact Filter.eventuallyEq_of_mem self_mem_nhdsWithin fun x₂ => I.right_inv
simp_rw [Function.comp_apply, I.left_inv, Function.id_def]
|
/-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad
-/
import Mathlib.Algebra.Order.Ring.Abs
#align_import data.int.order.units from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105"
/-!
# Lemmas about units in `ℤ`, which interact with the order structure.
-/
namespace Int
theorem isUnit_iff_abs_eq {x : ℤ} : IsUnit x ↔ abs x = 1 := by
rw [isUnit_iff_natAbs_eq, abs_eq_natAbs, ← Int.ofNat_one, natCast_inj]
#align int.is_unit_iff_abs_eq Int.isUnit_iff_abs_eq
theorem isUnit_sq {a : ℤ} (ha : IsUnit a) : a ^ 2 = 1 := by rw [sq, isUnit_mul_self ha]
#align int.is_unit_sq Int.isUnit_sq
@[simp]
theorem units_sq (u : ℤˣ) : u ^ 2 = 1 := by
rw [Units.ext_iff, Units.val_pow_eq_pow_val, Units.val_one, isUnit_sq u.isUnit]
#align int.units_sq Int.units_sq
alias units_pow_two := units_sq
#align int.units_pow_two Int.units_pow_two
@[simp]
| Mathlib/Data/Int/Order/Units.lean | 33 | 33 | theorem units_mul_self (u : ℤˣ) : u * u = 1 := by | rw [← sq, units_sq]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Johan Commelin, Mario Carneiro
-/
import Mathlib.Algebra.MonoidAlgebra.Degree
import Mathlib.Algebra.MvPolynomial.Rename
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
#align_import data.mv_polynomial.variables from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
/-!
# Degrees of polynomials
This file establishes many results about the degree of a multivariate polynomial.
The *degree set* of a polynomial $P \in R[X]$ is a `Multiset` containing, for each $x$ in the
variable set, $n$ copies of $x$, where $n$ is the maximum number of copies of $x$ appearing in a
monomial of $P$.
## Main declarations
* `MvPolynomial.degrees p` : the multiset of variables representing the union of the multisets
corresponding to each non-zero monomial in `p`.
For example if `7 ≠ 0` in `R` and `p = x²y+7y³` then `degrees p = {x, x, y, y, y}`
* `MvPolynomial.degreeOf n p : ℕ` : the total degree of `p` with respect to the variable `n`.
For example if `p = x⁴y+yz` then `degreeOf y p = 1`.
* `MvPolynomial.totalDegree p : ℕ` :
the max of the sizes of the multisets `s` whose monomials `X^s` occur in `p`.
For example if `p = x⁴y+yz` then `totalDegree p = 5`.
## Notation
As in other polynomial files, we typically use the notation:
+ `σ τ : Type*` (indexing the variables)
+ `R : Type*` `[CommSemiring R]` (the coefficients)
+ `s : σ →₀ ℕ`, a function from `σ` to `ℕ` which is zero away from a finite set.
This will give rise to a monomial in `MvPolynomial σ R` which mathematicians might call `X^s`
+ `r : R`
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : MvPolynomial σ R`
-/
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 Degrees
/-! ### `degrees` -/
/-- The maximal degrees of each variable in a multi-variable polynomial, expressed as a multiset.
(For example, `degrees (x^2 * y + y^3)` would be `{x, x, y, y, y}`.)
-/
def degrees (p : MvPolynomial σ R) : Multiset σ :=
letI := Classical.decEq σ
p.support.sup fun s : σ →₀ ℕ => toMultiset s
#align mv_polynomial.degrees MvPolynomial.degrees
theorem degrees_def [DecidableEq σ] (p : MvPolynomial σ R) :
p.degrees = p.support.sup fun s : σ →₀ ℕ => Finsupp.toMultiset s := by rw [degrees]; convert rfl
#align mv_polynomial.degrees_def MvPolynomial.degrees_def
theorem degrees_monomial (s : σ →₀ ℕ) (a : R) : degrees (monomial s a) ≤ toMultiset s := by
classical
refine (supDegree_single s a).trans_le ?_
split_ifs
exacts [bot_le, le_rfl]
#align mv_polynomial.degrees_monomial MvPolynomial.degrees_monomial
theorem degrees_monomial_eq (s : σ →₀ ℕ) (a : R) (ha : a ≠ 0) :
degrees (monomial s a) = toMultiset s := by
classical
exact (supDegree_single s a).trans (if_neg ha)
#align mv_polynomial.degrees_monomial_eq MvPolynomial.degrees_monomial_eq
theorem degrees_C (a : R) : degrees (C a : MvPolynomial σ R) = 0 :=
Multiset.le_zero.1 <| degrees_monomial _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.degrees_C MvPolynomial.degrees_C
theorem degrees_X' (n : σ) : degrees (X n : MvPolynomial σ R) ≤ {n} :=
le_trans (degrees_monomial _ _) <| le_of_eq <| toMultiset_single _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.degrees_X' MvPolynomial.degrees_X'
@[simp]
theorem degrees_X [Nontrivial R] (n : σ) : degrees (X n : MvPolynomial σ R) = {n} :=
(degrees_monomial_eq _ (1 : R) one_ne_zero).trans (toMultiset_single _ _)
set_option linter.uppercaseLean3 false in
#align mv_polynomial.degrees_X MvPolynomial.degrees_X
@[simp]
theorem degrees_zero : degrees (0 : MvPolynomial σ R) = 0 := by
rw [← C_0]
exact degrees_C 0
#align mv_polynomial.degrees_zero MvPolynomial.degrees_zero
@[simp]
theorem degrees_one : degrees (1 : MvPolynomial σ R) = 0 :=
degrees_C 1
#align mv_polynomial.degrees_one MvPolynomial.degrees_one
theorem degrees_add [DecidableEq σ] (p q : MvPolynomial σ R) :
(p + q).degrees ≤ p.degrees ⊔ q.degrees := by
simp_rw [degrees_def]; exact supDegree_add_le
#align mv_polynomial.degrees_add MvPolynomial.degrees_add
theorem degrees_sum {ι : Type*} [DecidableEq σ] (s : Finset ι) (f : ι → MvPolynomial σ R) :
(∑ i ∈ s, f i).degrees ≤ s.sup fun i => (f i).degrees := by
simp_rw [degrees_def]; exact supDegree_sum_le
#align mv_polynomial.degrees_sum MvPolynomial.degrees_sum
theorem degrees_mul (p q : MvPolynomial σ R) : (p * q).degrees ≤ p.degrees + q.degrees := by
classical
simp_rw [degrees_def]
exact supDegree_mul_le (map_add _)
#align mv_polynomial.degrees_mul MvPolynomial.degrees_mul
| Mathlib/Algebra/MvPolynomial/Degrees.lean | 144 | 146 | theorem degrees_prod {ι : Type*} (s : Finset ι) (f : ι → MvPolynomial σ R) :
(∏ i ∈ s, f i).degrees ≤ ∑ i ∈ s, (f i).degrees := by |
classical exact supDegree_prod_le (map_zero _) (map_add _)
|
/-
Copyright (c) 2017 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon
-/
import Mathlib.Data.PFunctor.Univariate.Basic
#align_import data.pfunctor.univariate.M from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
/-!
# M-types
M types are potentially infinite tree-like structures. They are defined
as the greatest fixpoint of a polynomial functor.
-/
universe u v w
open Nat Function
open List
variable (F : PFunctor.{u})
-- Porting note: the ♯ tactic is never used
-- local prefix:0 "♯" => cast (by first |simp [*]|cc|solve_by_elim)
namespace PFunctor
namespace Approx
/-- `CofixA F n` is an `n` level approximation of an M-type -/
inductive CofixA : ℕ → Type u
| continue : CofixA 0
| intro {n} : ∀ a, (F.B a → CofixA n) → CofixA (succ n)
#align pfunctor.approx.cofix_a PFunctor.Approx.CofixA
/-- default inhabitant of `CofixA` -/
protected def CofixA.default [Inhabited F.A] : ∀ n, CofixA F n
| 0 => CofixA.continue
| succ n => CofixA.intro default fun _ => CofixA.default n
#align pfunctor.approx.cofix_a.default PFunctor.Approx.CofixA.default
instance [Inhabited F.A] {n} : Inhabited (CofixA F n) :=
⟨CofixA.default F n⟩
theorem cofixA_eq_zero : ∀ x y : CofixA F 0, x = y
| CofixA.continue, CofixA.continue => rfl
#align pfunctor.approx.cofix_a_eq_zero PFunctor.Approx.cofixA_eq_zero
variable {F}
/-- The label of the root of the tree for a non-trivial
approximation of the cofix of a pfunctor.
-/
def head' : ∀ {n}, CofixA F (succ n) → F.A
| _, CofixA.intro i _ => i
#align pfunctor.approx.head' PFunctor.Approx.head'
/-- for a non-trivial approximation, return all the subtrees of the root -/
def children' : ∀ {n} (x : CofixA F (succ n)), F.B (head' x) → CofixA F n
| _, CofixA.intro _ f => f
#align pfunctor.approx.children' PFunctor.Approx.children'
theorem approx_eta {n : ℕ} (x : CofixA F (n + 1)) : x = CofixA.intro (head' x) (children' x) := by
cases x; rfl
#align pfunctor.approx.approx_eta PFunctor.Approx.approx_eta
/-- Relation between two approximations of the cofix of a pfunctor
that state they both contain the same data until one of them is truncated -/
inductive Agree : ∀ {n : ℕ}, CofixA F n → CofixA F (n + 1) → Prop
| continu (x : CofixA F 0) (y : CofixA F 1) : Agree x y
| intro {n} {a} (x : F.B a → CofixA F n) (x' : F.B a → CofixA F (n + 1)) :
(∀ i : F.B a, Agree (x i) (x' i)) → Agree (CofixA.intro a x) (CofixA.intro a x')
#align pfunctor.approx.agree PFunctor.Approx.Agree
/-- Given an infinite series of approximations `approx`,
`AllAgree approx` states that they are all consistent with each other.
-/
def AllAgree (x : ∀ n, CofixA F n) :=
∀ n, Agree (x n) (x (succ n))
#align pfunctor.approx.all_agree PFunctor.Approx.AllAgree
@[simp]
theorem agree_trival {x : CofixA F 0} {y : CofixA F 1} : Agree x y := by constructor
#align pfunctor.approx.agree_trival PFunctor.Approx.agree_trival
theorem agree_children {n : ℕ} (x : CofixA F (succ n)) (y : CofixA F (succ n + 1)) {i j}
(h₀ : HEq i j) (h₁ : Agree x y) : Agree (children' x i) (children' y j) := by
cases' h₁ with _ _ _ _ _ _ hagree; cases h₀
apply hagree
#align pfunctor.approx.agree_children PFunctor.Approx.agree_children
/-- `truncate a` turns `a` into a more limited approximation -/
def truncate : ∀ {n : ℕ}, CofixA F (n + 1) → CofixA F n
| 0, CofixA.intro _ _ => CofixA.continue
| succ _, CofixA.intro i f => CofixA.intro i <| truncate ∘ f
#align pfunctor.approx.truncate PFunctor.Approx.truncate
theorem truncate_eq_of_agree {n : ℕ} (x : CofixA F n) (y : CofixA F (succ n)) (h : Agree x y) :
truncate y = x := by
induction n <;> cases x <;> cases y
· rfl
· -- cases' h with _ _ _ _ _ h₀ h₁
cases h
simp only [truncate, Function.comp, true_and_iff, eq_self_iff_true, heq_iff_eq]
-- Porting note: used to be `ext y`
rename_i n_ih a f y h₁
suffices (fun x => truncate (y x)) = f
by simp [this]
funext y
apply n_ih
apply h₁
#align pfunctor.approx.truncate_eq_of_agree PFunctor.Approx.truncate_eq_of_agree
variable {X : Type w}
variable (f : X → F X)
/-- `sCorec f i n` creates an approximation of height `n`
of the final coalgebra of `f` -/
def sCorec : X → ∀ n, CofixA F n
| _, 0 => CofixA.continue
| j, succ _ => CofixA.intro (f j).1 fun i => sCorec ((f j).2 i) _
#align pfunctor.approx.s_corec PFunctor.Approx.sCorec
| Mathlib/Data/PFunctor/Univariate/M.lean | 128 | 134 | theorem P_corec (i : X) (n : ℕ) : Agree (sCorec f i n) (sCorec f i (succ n)) := by |
induction' n with n n_ih generalizing i
constructor
cases' f i with y g
constructor
introv
apply n_ih
|
/-
Copyright (c) 2022 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky, Floris van Doorn
-/
import Mathlib.Data.PNat.Basic
#align_import data.pnat.find from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
/-!
# Explicit least witnesses to existentials on positive natural numbers
Implemented via calling out to `Nat.find`.
-/
namespace PNat
variable {p q : ℕ+ → Prop} [DecidablePred p] [DecidablePred q] (h : ∃ n, p n)
instance decidablePredExistsNat : DecidablePred fun n' : ℕ => ∃ (n : ℕ+) (_ : n' = n), p n :=
fun n' =>
decidable_of_iff' (∃ h : 0 < n', p ⟨n', h⟩) <|
Subtype.exists.trans <| by
simp_rw [mk_coe, @exists_comm (_ < _) (_ = _), exists_prop, exists_eq_left']
#align pnat.decidable_pred_exists_nat PNat.decidablePredExistsNat
/-- The `PNat` version of `Nat.findX` -/
protected def findX : { n // p n ∧ ∀ m : ℕ+, m < n → ¬p m } := by
have : ∃ (n' : ℕ) (n : ℕ+) (_ : n' = n), p n := Exists.elim h fun n hn => ⟨n, n, rfl, hn⟩
have n := Nat.findX this
refine ⟨⟨n, ?_⟩, ?_, fun m hm pm => ?_⟩
· obtain ⟨n', hn', -⟩ := n.prop.1
rw [hn']
exact n'.prop
· obtain ⟨n', hn', pn'⟩ := n.prop.1
simpa [hn', Subtype.coe_eta] using pn'
· exact n.prop.2 m hm ⟨m, rfl, pm⟩
#align pnat.find_x PNat.findX
/-- If `p` is a (decidable) predicate on `ℕ+` and `hp : ∃ (n : ℕ+), p n` is a proof that
there exists some positive natural number satisfying `p`, then `PNat.find hp` is the
smallest positive natural number satisfying `p`. Note that `PNat.find` is protected,
meaning that you can't just write `find`, even if the `PNat` namespace is open.
The API for `PNat.find` is:
* `PNat.find_spec` is the proof that `PNat.find hp` satisfies `p`.
* `PNat.find_min` is the proof that if `m < PNat.find hp` then `m` does not satisfy `p`.
* `PNat.find_min'` is the proof that if `m` does satisfy `p` then `PNat.find hp ≤ m`.
-/
protected def find : ℕ+ :=
PNat.findX h
#align pnat.find PNat.find
protected theorem find_spec : p (PNat.find h) :=
(PNat.findX h).prop.left
#align pnat.find_spec PNat.find_spec
protected theorem find_min : ∀ {m : ℕ+}, m < PNat.find h → ¬p m :=
@(PNat.findX h).prop.right
#align pnat.find_min PNat.find_min
protected theorem find_min' {m : ℕ+} (hm : p m) : PNat.find h ≤ m :=
le_of_not_lt fun l => PNat.find_min h l hm
#align pnat.find_min' PNat.find_min'
variable {n m : ℕ+}
theorem find_eq_iff : PNat.find h = m ↔ p m ∧ ∀ n < m, ¬p n := by
constructor
· rintro rfl
exact ⟨PNat.find_spec h, fun _ => PNat.find_min h⟩
· rintro ⟨hm, hlt⟩
exact le_antisymm (PNat.find_min' h hm) (not_lt.1 <| imp_not_comm.1 (hlt _) <| PNat.find_spec h)
#align pnat.find_eq_iff PNat.find_eq_iff
@[simp]
theorem find_lt_iff (n : ℕ+) : PNat.find h < n ↔ ∃ m < n, p m :=
⟨fun h2 => ⟨PNat.find h, h2, PNat.find_spec h⟩, fun ⟨_, hmn, hm⟩ =>
(PNat.find_min' h hm).trans_lt hmn⟩
#align pnat.find_lt_iff PNat.find_lt_iff
@[simp]
theorem find_le_iff (n : ℕ+) : PNat.find h ≤ n ↔ ∃ m ≤ n, p m := by
simp only [exists_prop, ← lt_add_one_iff, find_lt_iff]
#align pnat.find_le_iff PNat.find_le_iff
@[simp]
theorem le_find_iff (n : ℕ+) : n ≤ PNat.find h ↔ ∀ m < n, ¬p m := by
simp only [← not_lt, find_lt_iff, not_exists, not_and]
#align pnat.le_find_iff PNat.le_find_iff
@[simp]
theorem lt_find_iff (n : ℕ+) : n < PNat.find h ↔ ∀ m ≤ n, ¬p m := by
simp only [← add_one_le_iff, le_find_iff, add_le_add_iff_right]
#align pnat.lt_find_iff PNat.lt_find_iff
@[simp]
| Mathlib/Data/PNat/Find.lean | 101 | 101 | theorem find_eq_one : PNat.find h = 1 ↔ p 1 := by | simp [find_eq_iff]
|
/-
Copyright (c) 2020 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau
-/
import Mathlib.Algebra.Algebra.Tower
import Mathlib.Algebra.Module.BigOperators
import Mathlib.LinearAlgebra.Basis
#align_import ring_theory.algebra_tower from "leanprover-community/mathlib"@"94825b2b0b982306be14d891c4f063a1eca4f370"
/-!
# Towers of algebras
We set up the basic theory of algebra towers.
An algebra tower A/S/R is expressed by having instances of `Algebra A S`,
`Algebra R S`, `Algebra R A` and `IsScalarTower R S A`, the later asserting the
compatibility condition `(r • s) • a = r • (s • a)`.
In `FieldTheory/Tower.lean` we use this to prove the tower law for finite extensions,
that if `R` and `S` are both fields, then `[A:R] = [A:S] [S:A]`.
In this file we prepare the main lemma:
if `{bi | i ∈ I}` is an `R`-basis of `S` and `{cj | j ∈ J}` is an `S`-basis
of `A`, then `{bi cj | i ∈ I, j ∈ J}` is an `R`-basis of `A`. This statement does not require the
base rings to be a field, so we also generalize the lemma to rings in this file.
-/
open Pointwise
universe u v w u₁
variable (R : Type u) (S : Type v) (A : Type w) (B : Type u₁)
namespace IsScalarTower
section Semiring
variable [CommSemiring R] [CommSemiring S] [Semiring A] [Semiring B]
variable [Algebra R S] [Algebra S A] [Algebra S B] [Algebra R A] [Algebra R B]
variable [IsScalarTower R S A] [IsScalarTower R S B]
/-- Suppose that `R → S → A` is a tower of algebras.
If an element `r : R` is invertible in `S`, then it is invertible in `A`. -/
def Invertible.algebraTower (r : R) [Invertible (algebraMap R S r)] :
Invertible (algebraMap R A r) :=
Invertible.copy (Invertible.map (algebraMap S A) (algebraMap R S r)) (algebraMap R A r)
(IsScalarTower.algebraMap_apply R S A r)
#align is_scalar_tower.invertible.algebra_tower IsScalarTower.Invertible.algebraTower
/-- A natural number that is invertible when coerced to `R` is also invertible
when coerced to any `R`-algebra. -/
def invertibleAlgebraCoeNat (n : ℕ) [inv : Invertible (n : R)] : Invertible (n : A) :=
haveI : Invertible (algebraMap ℕ R n) := inv
Invertible.algebraTower ℕ R A n
#align is_scalar_tower.invertible_algebra_coe_nat IsScalarTower.invertibleAlgebraCoeNat
end Semiring
section CommSemiring
variable [CommSemiring R] [CommSemiring A] [CommSemiring B]
variable [Algebra R A] [Algebra A B] [Algebra R B] [IsScalarTower R A B]
end CommSemiring
end IsScalarTower
section AlgebraMapCoeffs
variable {R} {ι M : Type*} [CommSemiring R] [Semiring A] [AddCommMonoid M]
variable [Algebra R A] [Module A M] [Module R M] [IsScalarTower R A M]
variable (b : Basis ι R M) (h : Function.Bijective (algebraMap R A))
/-- If `R` and `A` have a bijective `algebraMap R A` and act identically on `M`,
then a basis for `M` as `R`-module is also a basis for `M` as `R'`-module. -/
@[simps! repr_apply_support_val repr_apply_toFun]
noncomputable def Basis.algebraMapCoeffs : Basis ι A M :=
b.mapCoeffs (RingEquiv.ofBijective _ h) fun c x => by simp
#align basis.algebra_map_coeffs Basis.algebraMapCoeffs
#noalign Basis.algebraMapCoeffs_repr_symm_apply -- failed simpNF linter
theorem Basis.algebraMapCoeffs_apply (i : ι) : b.algebraMapCoeffs A h i = b i :=
b.mapCoeffs_apply _ _ _
#align basis.algebra_map_coeffs_apply Basis.algebraMapCoeffs_apply
@[simp]
theorem Basis.coe_algebraMapCoeffs : (b.algebraMapCoeffs A h : ι → M) = b :=
b.coe_mapCoeffs _ _
#align basis.coe_algebra_map_coeffs Basis.coe_algebraMapCoeffs
end AlgebraMapCoeffs
section Semiring
open Finsupp
open scoped Classical
universe v₁ w₁
variable {R S A}
variable [Semiring R] [Semiring S] [AddCommMonoid A]
variable [Module R S] [Module S A] [Module R A] [IsScalarTower R S A]
| Mathlib/RingTheory/AlgebraTower.lean | 108 | 121 | theorem linearIndependent_smul {ι : Type v₁} {b : ι → S} {ι' : Type w₁} {c : ι' → A}
(hb : LinearIndependent R b) (hc : LinearIndependent S c) :
LinearIndependent R fun p : ι × ι' => b p.1 • c p.2 := by |
rw [linearIndependent_iff'] at hb hc; rw [linearIndependent_iff'']; rintro s g hg hsg ⟨i, k⟩
by_cases hik : (i, k) ∈ s
· have h1 : ∑ i ∈ s.image Prod.fst ×ˢ s.image Prod.snd, g i • b i.1 • c i.2 = 0 := by
rw [← hsg]
exact
(Finset.sum_subset Finset.subset_product fun p _ hp =>
show g p • b p.1 • c p.2 = 0 by rw [hg p hp, zero_smul]).symm
rw [Finset.sum_product_right] at h1
simp_rw [← smul_assoc, ← Finset.sum_smul] at h1
exact hb _ _ (hc _ _ h1 k (Finset.mem_image_of_mem _ hik)) i (Finset.mem_image_of_mem _ hik)
exact hg _ hik
|
/-
Copyright (c) 2020 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou
-/
import Mathlib.Algebra.Group.Pi.Lemmas
import Mathlib.Algebra.Group.Support
#align_import algebra.indicator_function from "leanprover-community/mathlib"@"2445c98ae4b87eabebdde552593519b9b6dc350c"
/-!
# Indicator function
- `Set.indicator (s : Set α) (f : α → β) (a : α)` is `f a` if `a ∈ s` and is `0` otherwise.
- `Set.mulIndicator (s : Set α) (f : α → β) (a : α)` is `f a` if `a ∈ s` and is `1` otherwise.
## Implementation note
In mathematics, an indicator function or a characteristic function is a function
used to indicate membership of an element in a set `s`,
having the value `1` for all elements of `s` and the value `0` otherwise.
But since it is usually used to restrict a function to a certain set `s`,
we let the indicator function take the value `f x` for some function `f`, instead of `1`.
If the usual indicator function is needed, just set `f` to be the constant function `fun _ ↦ 1`.
The indicator function is implemented non-computably, to avoid having to pass around `Decidable`
arguments. This is in contrast with the design of `Pi.single` or `Set.piecewise`.
## Tags
indicator, characteristic
-/
assert_not_exists MonoidWithZero
open Function
variable {α β ι M N : Type*}
namespace Set
section One
variable [One M] [One N] {s t : Set α} {f g : α → M} {a : α}
/-- `Set.mulIndicator s f a` is `f a` if `a ∈ s`, `1` otherwise. -/
@[to_additive "`Set.indicator s f a` is `f a` if `a ∈ s`, `0` otherwise."]
noncomputable def mulIndicator (s : Set α) (f : α → M) (x : α) : M :=
haveI := Classical.decPred (· ∈ s)
if x ∈ s then f x else 1
#align set.mul_indicator Set.mulIndicator
@[to_additive (attr := simp)]
theorem piecewise_eq_mulIndicator [DecidablePred (· ∈ s)] : s.piecewise f 1 = s.mulIndicator f :=
funext fun _ => @if_congr _ _ _ _ (id _) _ _ _ _ Iff.rfl rfl rfl
#align set.piecewise_eq_mul_indicator Set.piecewise_eq_mulIndicator
#align set.piecewise_eq_indicator Set.piecewise_eq_indicator
-- Porting note: needed unfold for mulIndicator
@[to_additive]
theorem mulIndicator_apply (s : Set α) (f : α → M) (a : α) [Decidable (a ∈ s)] :
mulIndicator s f a = if a ∈ s then f a else 1 := by
unfold mulIndicator
congr
#align set.mul_indicator_apply Set.mulIndicator_apply
#align set.indicator_apply Set.indicator_apply
@[to_additive (attr := simp)]
theorem mulIndicator_of_mem (h : a ∈ s) (f : α → M) : mulIndicator s f a = f a :=
if_pos h
#align set.mul_indicator_of_mem Set.mulIndicator_of_mem
#align set.indicator_of_mem Set.indicator_of_mem
@[to_additive (attr := simp)]
theorem mulIndicator_of_not_mem (h : a ∉ s) (f : α → M) : mulIndicator s f a = 1 :=
if_neg h
#align set.mul_indicator_of_not_mem Set.mulIndicator_of_not_mem
#align set.indicator_of_not_mem Set.indicator_of_not_mem
@[to_additive]
theorem mulIndicator_eq_one_or_self (s : Set α) (f : α → M) (a : α) :
mulIndicator s f a = 1 ∨ mulIndicator s f a = f a := by
by_cases h : a ∈ s
· exact Or.inr (mulIndicator_of_mem h f)
· exact Or.inl (mulIndicator_of_not_mem h f)
#align set.mul_indicator_eq_one_or_self Set.mulIndicator_eq_one_or_self
#align set.indicator_eq_zero_or_self Set.indicator_eq_zero_or_self
@[to_additive (attr := simp)]
theorem mulIndicator_apply_eq_self : s.mulIndicator f a = f a ↔ a ∉ s → f a = 1 :=
letI := Classical.dec (a ∈ s)
ite_eq_left_iff.trans (by rw [@eq_comm _ (f a)])
#align set.mul_indicator_apply_eq_self Set.mulIndicator_apply_eq_self
#align set.indicator_apply_eq_self Set.indicator_apply_eq_self
@[to_additive (attr := simp)]
theorem mulIndicator_eq_self : s.mulIndicator f = f ↔ mulSupport f ⊆ s := by
simp only [funext_iff, subset_def, mem_mulSupport, mulIndicator_apply_eq_self, not_imp_comm]
#align set.mul_indicator_eq_self Set.mulIndicator_eq_self
#align set.indicator_eq_self Set.indicator_eq_self
@[to_additive]
theorem mulIndicator_eq_self_of_superset (h1 : s.mulIndicator f = f) (h2 : s ⊆ t) :
t.mulIndicator f = f := by
rw [mulIndicator_eq_self] at h1 ⊢
exact Subset.trans h1 h2
#align set.mul_indicator_eq_self_of_superset Set.mulIndicator_eq_self_of_superset
#align set.indicator_eq_self_of_superset Set.indicator_eq_self_of_superset
@[to_additive (attr := simp)]
theorem mulIndicator_apply_eq_one : mulIndicator s f a = 1 ↔ a ∈ s → f a = 1 :=
letI := Classical.dec (a ∈ s)
ite_eq_right_iff
#align set.mul_indicator_apply_eq_one Set.mulIndicator_apply_eq_one
#align set.indicator_apply_eq_zero Set.indicator_apply_eq_zero
@[to_additive (attr := simp)]
theorem mulIndicator_eq_one : (mulIndicator s f = fun x => 1) ↔ Disjoint (mulSupport f) s := by
simp only [funext_iff, mulIndicator_apply_eq_one, Set.disjoint_left, mem_mulSupport,
not_imp_not]
#align set.mul_indicator_eq_one Set.mulIndicator_eq_one
#align set.indicator_eq_zero Set.indicator_eq_zero
@[to_additive (attr := simp)]
theorem mulIndicator_eq_one' : mulIndicator s f = 1 ↔ Disjoint (mulSupport f) s :=
mulIndicator_eq_one
#align set.mul_indicator_eq_one' Set.mulIndicator_eq_one'
#align set.indicator_eq_zero' Set.indicator_eq_zero'
@[to_additive]
| Mathlib/Algebra/Group/Indicator.lean | 131 | 132 | theorem mulIndicator_apply_ne_one {a : α} : s.mulIndicator f a ≠ 1 ↔ a ∈ s ∩ mulSupport f := by |
simp only [Ne, mulIndicator_apply_eq_one, Classical.not_imp, mem_inter_iff, mem_mulSupport]
|
/-
Copyright (c) 2024 Josha Dekker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Josha Dekker, Devon Tuma, Kexing Ying
-/
import Mathlib.Probability.Notation
import Mathlib.Probability.Density
import Mathlib.Probability.ConditionalProbability
import Mathlib.Probability.ProbabilityMassFunction.Constructions
/-!
# Uniform distributions and probability mass functions
This file defines two related notions of uniform distributions, which will be unified in the future.
# Uniform distributions
Defines the uniform distribution for any set with finite measure.
## Main definitions
* `IsUniform X s ℙ μ` : A random variable `X` has uniform distribution on `s` under `ℙ` if the
push-forward measure agrees with the rescaled restricted measure `μ`.
# Uniform probability mass functions
This file defines a number of uniform `PMF` distributions from various inputs,
uniformly drawing from the corresponding object.
## Main definitions
`PMF.uniformOfFinset` gives each element in the set equal probability,
with `0` probability for elements not in the set.
`PMF.uniformOfFintype` gives all elements equal probability,
equal to the inverse of the size of the `Fintype`.
`PMF.ofMultiset` draws randomly from the given `Multiset`, treating duplicate values as distinct.
Each probability is given by the count of the element divided by the size of the `Multiset`
# To Do:
* Refactor the `PMF` definitions to come from a `uniformMeasure` on a `Finset`/`Fintype`/`Multiset`.
-/
open scoped Classical MeasureTheory NNReal ENNReal
-- TODO: We can't `open ProbabilityTheory` without opening the `ProbabilityTheory` locale :(
open TopologicalSpace MeasureTheory.Measure PMF
noncomputable section
namespace MeasureTheory
variable {E : Type*} [MeasurableSpace E] {m : Measure E} {μ : Measure E}
namespace pdf
variable {Ω : Type*}
variable {_ : MeasurableSpace Ω} {ℙ : Measure Ω}
/-- A random variable `X` has uniform distribution on `s` if its push-forward measure is
`(μ s)⁻¹ • μ.restrict s`. -/
def IsUniform (X : Ω → E) (s : Set E) (ℙ : Measure Ω) (μ : Measure E := by volume_tac) :=
map X ℙ = ProbabilityTheory.cond μ s
#align measure_theory.pdf.is_uniform MeasureTheory.pdf.IsUniform
namespace IsUniform
| Mathlib/Probability/Distributions/Uniform.lean | 66 | 75 | theorem aemeasurable {X : Ω → E} {s : Set E} (hns : μ s ≠ 0) (hnt : μ s ≠ ∞)
(hu : IsUniform X s ℙ μ) : AEMeasurable X ℙ := by |
dsimp [IsUniform, ProbabilityTheory.cond] at hu
by_contra h
rw [map_of_not_aemeasurable h] at hu
apply zero_ne_one' ℝ≥0∞
calc
0 = (0 : Measure E) Set.univ := rfl
_ = _ := by rw [hu, smul_apply, restrict_apply MeasurableSet.univ,
Set.univ_inter, smul_eq_mul, ENNReal.inv_mul_cancel hns hnt]
|
/-
Copyright (c) 2023 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import Mathlib.RingTheory.Localization.Module
import Mathlib.RingTheory.Norm
import Mathlib.RingTheory.Discriminant
#align_import ring_theory.localization.norm from "leanprover-community/mathlib"@"2e59a6de168f95d16b16d217b808a36290398c0a"
/-!
# Field/algebra norm / trace and localization
This file contains results on the combination of `IsLocalization` and `Algebra.norm`,
`Algebra.trace` and `Algebra.discr`.
## Main results
* `Algebra.norm_localization`: let `S` be an extension of `R` and `Rₘ Sₘ` be localizations at `M`
of `R S` respectively. Then the norm of `a : Sₘ` over `Rₘ` is the norm of `a : S` over `R`
if `S` is free as `R`-module.
* `Algebra.trace_localization`: let `S` be an extension of `R` and `Rₘ Sₘ` be localizations at `M`
of `R S` respectively. Then the trace of `a : Sₘ` over `Rₘ` is the trace of `a : S` over `R`
if `S` is free as `R`-module.
* `Algebra.discr_localizationLocalization`: let `S` be an extension of `R` and `Rₘ Sₘ` be
localizations at `M` of `R S` respectively. Let `b` be a `R`-basis of `S`. Then discriminant of
the `Rₘ`-basis of `Sₘ` induced by `b` is the discriminant of `b`.
## Tags
field norm, algebra norm, localization
-/
open scoped nonZeroDivisors
variable (R : Type*) {S : Type*} [CommRing R] [CommRing S] [Algebra R S]
variable {Rₘ Sₘ : Type*} [CommRing Rₘ] [Algebra R Rₘ] [CommRing Sₘ] [Algebra S Sₘ]
variable (M : Submonoid R)
variable [IsLocalization M Rₘ] [IsLocalization (Algebra.algebraMapSubmonoid S M) Sₘ]
variable [Algebra Rₘ Sₘ] [Algebra R Sₘ] [IsScalarTower R Rₘ Sₘ] [IsScalarTower R S Sₘ]
open Algebra
| Mathlib/RingTheory/Localization/NormTrace.lean | 50 | 56 | theorem Algebra.map_leftMulMatrix_localization {ι : Type*} [Fintype ι] [DecidableEq ι]
(b : Basis ι R S) (a : S) :
(algebraMap R Rₘ).mapMatrix (leftMulMatrix b a) =
leftMulMatrix (b.localizationLocalization Rₘ M Sₘ) (algebraMap S Sₘ a) := by |
ext i j
simp only [Matrix.map_apply, RingHom.mapMatrix_apply, leftMulMatrix_eq_repr_mul, ← map_mul,
Basis.localizationLocalization_apply, Basis.localizationLocalization_repr_algebraMap]
|
/-
Copyright (c) 2018 Robert Y. Lewis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Robert Y. Lewis
-/
import Mathlib.RingTheory.Valuation.Basic
import Mathlib.NumberTheory.Padics.PadicNorm
import Mathlib.Analysis.Normed.Field.Basic
#align_import number_theory.padics.padic_numbers from "leanprover-community/mathlib"@"b9b2114f7711fec1c1e055d507f082f8ceb2c3b7"
/-!
# p-adic numbers
This file defines the `p`-adic numbers (rationals) `ℚ_[p]` as
the completion of `ℚ` with respect to the `p`-adic norm.
We show that the `p`-adic norm on `ℚ` extends to `ℚ_[p]`, that `ℚ` is embedded in `ℚ_[p]`,
and that `ℚ_[p]` is Cauchy complete.
## Important definitions
* `Padic` : the type of `p`-adic numbers
* `padicNormE` : the rational valued `p`-adic norm on `ℚ_[p]`
* `Padic.addValuation` : the additive `p`-adic valuation on `ℚ_[p]`, with values in `WithTop ℤ`
## Notation
We introduce the notation `ℚ_[p]` for the `p`-adic numbers.
## Implementation notes
Much, but not all, of this file assumes that `p` is prime. This assumption is inferred automatically
by taking `[Fact p.Prime]` as a type class argument.
We use the same concrete Cauchy sequence construction that is used to construct `ℝ`.
`ℚ_[p]` inherits a field structure from this construction.
The extension of the norm on `ℚ` to `ℚ_[p]` is *not* analogous to extending the absolute value to
`ℝ` and hence the proof that `ℚ_[p]` is complete is different from the proof that ℝ is complete.
A small special-purpose simplification tactic, `padic_index_simp`, is used to manipulate sequence
indices in the proof that the norm extends.
`padicNormE` is the rational-valued `p`-adic norm on `ℚ_[p]`.
To instantiate `ℚ_[p]` as a normed field, we must cast this into an `ℝ`-valued norm.
The `ℝ`-valued norm, using notation `‖ ‖` from normed spaces,
is the canonical representation of this norm.
`simp` prefers `padicNorm` to `padicNormE` when possible.
Since `padicNormE` and `‖ ‖` have different types, `simp` does not rewrite one to the other.
Coercions from `ℚ` to `ℚ_[p]` are set up to work with the `norm_cast` tactic.
## References
* [F. Q. Gouvêa, *p-adic numbers*][gouvea1997]
* [R. Y. Lewis, *A formal proof of Hensel's lemma over the p-adic integers*][lewis2019]
* <https://en.wikipedia.org/wiki/P-adic_number>
## Tags
p-adic, p adic, padic, norm, valuation, cauchy, completion, p-adic completion
-/
noncomputable section
open scoped Classical
open Nat multiplicity padicNorm CauSeq CauSeq.Completion Metric
/-- The type of Cauchy sequences of rationals with respect to the `p`-adic norm. -/
abbrev PadicSeq (p : ℕ) :=
CauSeq _ (padicNorm p)
#align padic_seq PadicSeq
namespace PadicSeq
section
variable {p : ℕ} [Fact p.Prime]
/-- The `p`-adic norm of the entries of a nonzero Cauchy sequence of rationals is eventually
constant. -/
theorem stationary {f : CauSeq ℚ (padicNorm p)} (hf : ¬f ≈ 0) :
∃ N, ∀ m n, N ≤ m → N ≤ n → padicNorm p (f n) = padicNorm p (f m) :=
have : ∃ ε > 0, ∃ N1, ∀ j ≥ N1, ε ≤ padicNorm p (f j) :=
CauSeq.abv_pos_of_not_limZero <| not_limZero_of_not_congr_zero hf
let ⟨ε, hε, N1, hN1⟩ := this
let ⟨N2, hN2⟩ := CauSeq.cauchy₂ f hε
⟨max N1 N2, fun n m hn hm ↦ by
have : padicNorm p (f n - f m) < ε := hN2 _ (max_le_iff.1 hn).2 _ (max_le_iff.1 hm).2
have : padicNorm p (f n - f m) < padicNorm p (f n) :=
lt_of_lt_of_le this <| hN1 _ (max_le_iff.1 hn).1
have : padicNorm p (f n - f m) < max (padicNorm p (f n)) (padicNorm p (f m)) :=
lt_max_iff.2 (Or.inl this)
by_contra hne
rw [← padicNorm.neg (f m)] at hne
have hnam := add_eq_max_of_ne hne
rw [padicNorm.neg, max_comm] at hnam
rw [← hnam, sub_eq_add_neg, add_comm] at this
apply _root_.lt_irrefl _ this⟩
#align padic_seq.stationary PadicSeq.stationary
/-- For all `n ≥ stationaryPoint f hf`, the `p`-adic norm of `f n` is the same. -/
def stationaryPoint {f : PadicSeq p} (hf : ¬f ≈ 0) : ℕ :=
Classical.choose <| stationary hf
#align padic_seq.stationary_point PadicSeq.stationaryPoint
theorem stationaryPoint_spec {f : PadicSeq p} (hf : ¬f ≈ 0) :
∀ {m n},
stationaryPoint hf ≤ m → stationaryPoint hf ≤ n → padicNorm p (f n) = padicNorm p (f m) :=
@(Classical.choose_spec <| stationary hf)
#align padic_seq.stationary_point_spec PadicSeq.stationaryPoint_spec
/-- Since the norm of the entries of a Cauchy sequence is eventually stationary,
we can lift the norm to sequences. -/
def norm (f : PadicSeq p) : ℚ :=
if hf : f ≈ 0 then 0 else padicNorm p (f (stationaryPoint hf))
#align padic_seq.norm PadicSeq.norm
| Mathlib/NumberTheory/Padics/PadicNumbers.lean | 121 | 135 | theorem norm_zero_iff (f : PadicSeq p) : f.norm = 0 ↔ f ≈ 0 := by |
constructor
· intro h
by_contra hf
unfold norm at h
split_ifs at h
· contradiction
apply hf
intro ε hε
exists stationaryPoint hf
intro j hj
have heq := stationaryPoint_spec hf le_rfl hj
simpa [h, heq]
· intro h
simp [norm, h]
|
/-
Copyright (c) 2021 Hanting Zhang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Hanting Zhang
-/
import Mathlib.Analysis.SpecialFunctions.Integrals
#align_import data.real.pi.wallis from "leanprover-community/mathlib"@"980755c33b9168bc82f774f665eaa27878140fac"
/-! # The Wallis formula for Pi
This file establishes the Wallis product for `π` (`Real.tendsto_prod_pi_div_two`). Our proof is
largely about analyzing the behaviour of the sequence `∫ x in 0..π, sin x ^ n` as `n → ∞`.
See: https://en.wikipedia.org/wiki/Wallis_product
The proof can be broken down into two pieces. The first step (carried out in
`Analysis.SpecialFunctions.Integrals`) is to use repeated integration by parts to obtain an
explicit formula for this integral, which is rational if `n` is odd and a rational multiple of `π`
if `n` is even.
The second step, carried out here, is to estimate the ratio
`∫ (x : ℝ) in 0..π, sin x ^ (2 * k + 1) / ∫ (x : ℝ) in 0..π, sin x ^ (2 * k)` and prove that
it converges to one using the squeeze theorem. The final product for `π` is obtained after some
algebraic manipulation.
## Main statements
* `Real.Wallis.W`: the product of the first `k` terms in Wallis' formula for `π`.
* `Real.Wallis.W_eq_integral_sin_pow_div_integral_sin_pow`: express `W n` as a ratio of integrals.
* `Real.Wallis.W_le` and `Real.Wallis.le_W`: upper and lower bounds for `W n`.
* `Real.tendsto_prod_pi_div_two`: the Wallis product formula.
-/
open scoped Real Topology Nat
open Filter Finset intervalIntegral
namespace Real
namespace Wallis
set_option linter.uppercaseLean3 false
/-- The product of the first `k` terms in Wallis' formula for `π`. -/
noncomputable def W (k : ℕ) : ℝ :=
∏ i ∈ range k, (2 * i + 2) / (2 * i + 1) * ((2 * i + 2) / (2 * i + 3))
#align real.wallis.W Real.Wallis.W
theorem W_succ (k : ℕ) :
W (k + 1) = W k * ((2 * k + 2) / (2 * k + 1) * ((2 * k + 2) / (2 * k + 3))) :=
prod_range_succ _ _
#align real.wallis.W_succ Real.Wallis.W_succ
theorem W_pos (k : ℕ) : 0 < W k := by
induction' k with k hk
· unfold W; simp
· rw [W_succ]
refine mul_pos hk (mul_pos (div_pos ?_ ?_) (div_pos ?_ ?_)) <;> positivity
#align real.wallis.W_pos Real.Wallis.W_pos
theorem W_eq_factorial_ratio (n : ℕ) :
W n = 2 ^ (4 * n) * n ! ^ 4 / ((2 * n)! ^ 2 * (2 * n + 1)) := by
induction' n with n IH
· simp only [W, prod_range_zero, Nat.factorial_zero, mul_zero, pow_zero,
algebraMap.coe_one, one_pow, mul_one, algebraMap.coe_zero, zero_add, div_self, Ne,
one_ne_zero, not_false_iff]
norm_num
· unfold W at IH ⊢
rw [prod_range_succ, IH, _root_.div_mul_div_comm, _root_.div_mul_div_comm]
refine (div_eq_div_iff ?_ ?_).mpr ?_
any_goals exact ne_of_gt (by positivity)
simp_rw [Nat.mul_succ, Nat.factorial_succ, pow_succ]
push_cast
ring_nf
#align real.wallis.W_eq_factorial_ratio Real.Wallis.W_eq_factorial_ratio
theorem W_eq_integral_sin_pow_div_integral_sin_pow (k : ℕ) : (π / 2)⁻¹ * W k =
(∫ x : ℝ in (0)..π, sin x ^ (2 * k + 1)) / ∫ x : ℝ in (0)..π, sin x ^ (2 * k) := by
rw [integral_sin_pow_even, integral_sin_pow_odd, mul_div_mul_comm, ← prod_div_distrib, inv_div]
simp_rw [div_div_div_comm, div_div_eq_mul_div, mul_div_assoc]
rfl
#align real.wallis.W_eq_integral_sin_pow_div_integral_sin_pow Real.Wallis.W_eq_integral_sin_pow_div_integral_sin_pow
| Mathlib/Data/Real/Pi/Wallis.lean | 85 | 88 | theorem W_le (k : ℕ) : W k ≤ π / 2 := by |
rw [← div_le_one pi_div_two_pos, div_eq_inv_mul]
rw [W_eq_integral_sin_pow_div_integral_sin_pow, div_le_one (integral_sin_pow_pos _)]
apply integral_sin_pow_succ_le
|
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Yaël Dillies
-/
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Data.Finset.NoncommProd
import Mathlib.Data.Fintype.Perm
import Mathlib.Data.Int.ModEq
import Mathlib.GroupTheory.Perm.List
import Mathlib.GroupTheory.Perm.Sign
import Mathlib.Logic.Equiv.Fintype
import Mathlib.GroupTheory.Perm.Cycle.Basic
#align_import group_theory.perm.cycle.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
/-!
# Cycle factors of a permutation
Let `β` be a `Fintype` and `f : Equiv.Perm β`.
* `Equiv.Perm.cycleOf`: `f.cycleOf x` is the cycle of `f` that `x` belongs to.
* `Equiv.Perm.cycleFactors`: `f.cycleFactors` is a list of disjoint cyclic permutations
that multiply to `f`.
-/
open Equiv Function Finset
variable {ι α β : Type*}
namespace Equiv.Perm
/-!
### `cycleOf`
-/
section CycleOf
variable [DecidableEq α] [Fintype α] {f g : Perm α} {x y : α}
/-- `f.cycleOf x` is the cycle of the permutation `f` to which `x` belongs. -/
def cycleOf (f : Perm α) (x : α) : Perm α :=
ofSubtype (subtypePerm f fun _ => sameCycle_apply_right.symm : Perm { y // SameCycle f x y })
#align equiv.perm.cycle_of Equiv.Perm.cycleOf
theorem cycleOf_apply (f : Perm α) (x y : α) :
cycleOf f x y = if SameCycle f x y then f y else y := by
dsimp only [cycleOf]
split_ifs with h
· apply ofSubtype_apply_of_mem
exact h
· apply ofSubtype_apply_of_not_mem
exact h
#align equiv.perm.cycle_of_apply Equiv.Perm.cycleOf_apply
theorem cycleOf_inv (f : Perm α) (x : α) : (cycleOf f x)⁻¹ = cycleOf f⁻¹ x :=
Equiv.ext fun y => by
rw [inv_eq_iff_eq, cycleOf_apply, cycleOf_apply]
split_ifs <;> simp_all [sameCycle_inv, sameCycle_inv_apply_right]
#align equiv.perm.cycle_of_inv Equiv.Perm.cycleOf_inv
@[simp]
theorem cycleOf_pow_apply_self (f : Perm α) (x : α) : ∀ n : ℕ, (cycleOf f x ^ n) x = (f ^ n) x := by
intro n
induction' n with n hn
· rfl
· rw [pow_succ', mul_apply, cycleOf_apply, hn, if_pos, pow_succ', mul_apply]
exact ⟨n, rfl⟩
#align equiv.perm.cycle_of_pow_apply_self Equiv.Perm.cycleOf_pow_apply_self
@[simp]
theorem cycleOf_zpow_apply_self (f : Perm α) (x : α) :
∀ n : ℤ, (cycleOf f x ^ n) x = (f ^ n) x := by
intro z
induction' z with z hz
· exact cycleOf_pow_apply_self f x z
· rw [zpow_negSucc, ← inv_pow, cycleOf_inv, zpow_negSucc, ← inv_pow, cycleOf_pow_apply_self]
#align equiv.perm.cycle_of_zpow_apply_self Equiv.Perm.cycleOf_zpow_apply_self
theorem SameCycle.cycleOf_apply : SameCycle f x y → cycleOf f x y = f y :=
ofSubtype_apply_of_mem _
#align equiv.perm.same_cycle.cycle_of_apply Equiv.Perm.SameCycle.cycleOf_apply
theorem cycleOf_apply_of_not_sameCycle : ¬SameCycle f x y → cycleOf f x y = y :=
ofSubtype_apply_of_not_mem _
#align equiv.perm.cycle_of_apply_of_not_same_cycle Equiv.Perm.cycleOf_apply_of_not_sameCycle
theorem SameCycle.cycleOf_eq (h : SameCycle f x y) : cycleOf f x = cycleOf f y := by
ext z
rw [Equiv.Perm.cycleOf_apply]
split_ifs with hz
· exact (h.symm.trans hz).cycleOf_apply.symm
· exact (cycleOf_apply_of_not_sameCycle (mt h.trans hz)).symm
#align equiv.perm.same_cycle.cycle_of_eq Equiv.Perm.SameCycle.cycleOf_eq
@[simp]
theorem cycleOf_apply_apply_zpow_self (f : Perm α) (x : α) (k : ℤ) :
cycleOf f x ((f ^ k) x) = (f ^ (k + 1) : Perm α) x := by
rw [SameCycle.cycleOf_apply]
· rw [add_comm, zpow_add, zpow_one, mul_apply]
· exact ⟨k, rfl⟩
#align equiv.perm.cycle_of_apply_apply_zpow_self Equiv.Perm.cycleOf_apply_apply_zpow_self
@[simp]
theorem cycleOf_apply_apply_pow_self (f : Perm α) (x : α) (k : ℕ) :
cycleOf f x ((f ^ k) x) = (f ^ (k + 1) : Perm α) x := by
convert cycleOf_apply_apply_zpow_self f x k using 1
#align equiv.perm.cycle_of_apply_apply_pow_self Equiv.Perm.cycleOf_apply_apply_pow_self
@[simp]
| Mathlib/GroupTheory/Perm/Cycle/Factors.lean | 113 | 114 | theorem cycleOf_apply_apply_self (f : Perm α) (x : α) : cycleOf f x (f x) = f (f x) := by |
convert cycleOf_apply_apply_pow_self f x 1 using 1
|
/-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Data.Multiset.Basic
#align_import data.multiset.range from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
/-! # `Multiset.range n` gives `{0, 1, ..., n-1}` as a multiset. -/
open List Nat
namespace Multiset
-- range
/-- `range n` is the multiset lifted from the list `range n`,
that is, the set `{0, 1, ..., n-1}`. -/
def range (n : ℕ) : Multiset ℕ :=
List.range n
#align multiset.range Multiset.range
theorem coe_range (n : ℕ) : ↑(List.range n) = range n :=
rfl
#align multiset.coe_range Multiset.coe_range
@[simp]
theorem range_zero : range 0 = 0 :=
rfl
#align multiset.range_zero Multiset.range_zero
@[simp]
theorem range_succ (n : ℕ) : range (succ n) = n ::ₘ range n := by
rw [range, List.range_succ, ← coe_add, add_comm]; rfl
#align multiset.range_succ Multiset.range_succ
@[simp]
theorem card_range (n : ℕ) : card (range n) = n :=
length_range _
#align multiset.card_range Multiset.card_range
theorem range_subset {m n : ℕ} : range m ⊆ range n ↔ m ≤ n :=
List.range_subset
#align multiset.range_subset Multiset.range_subset
@[simp]
theorem mem_range {m n : ℕ} : m ∈ range n ↔ m < n :=
List.mem_range
#align multiset.mem_range Multiset.mem_range
-- Porting note (#10618): removing @[simp], `simp` can prove it
theorem not_mem_range_self {n : ℕ} : n ∉ range n :=
List.not_mem_range_self
#align multiset.not_mem_range_self Multiset.not_mem_range_self
theorem self_mem_range_succ (n : ℕ) : n ∈ range (n + 1) :=
List.self_mem_range_succ n
#align multiset.self_mem_range_succ Multiset.self_mem_range_succ
theorem range_add (a b : ℕ) : range (a + b) = range a + (range b).map (a + ·) :=
congr_arg ((↑) : List ℕ → Multiset ℕ) (List.range_add _ _)
#align multiset.range_add Multiset.range_add
theorem range_disjoint_map_add (a : ℕ) (m : Multiset ℕ) :
(range a).Disjoint (m.map (a + ·)) := by
intro x hxa hxb
rw [range, mem_coe, List.mem_range] at hxa
obtain ⟨c, _, rfl⟩ := mem_map.1 hxb
exact (Nat.le_add_right _ _).not_lt hxa
#align multiset.range_disjoint_map_add Multiset.range_disjoint_map_add
| Mathlib/Data/Multiset/Range.lean | 73 | 75 | theorem range_add_eq_union (a b : ℕ) : range (a + b) = range a ∪ (range b).map (a + ·) := by |
rw [range_add, add_eq_union_iff_disjoint]
apply range_disjoint_map_add
|
/-
Copyright (c) 2021 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import Mathlib.Algebra.Order.EuclideanAbsoluteValue
import Mathlib.Algebra.Order.Group.Basic
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Polynomial.FieldDivision
#align_import data.polynomial.degree.card_pow_degree from "leanprover-community/mathlib"@"85d9f2189d9489f9983c0d01536575b0233bd305"
/-!
# Absolute value on polynomials over a finite field.
Let `𝔽_q` be a finite field of cardinality `q`, then the map sending a polynomial `p`
to `q ^ degree p` (where `q ^ degree 0 = 0`) is an absolute value.
## Main definitions
* `Polynomial.cardPowDegree` is an absolute value on `𝔽_q[t]`, the ring of
polynomials over a finite field of cardinality `q`, mapping a polynomial `p`
to `q ^ degree p` (where `q ^ degree 0 = 0`)
## Main results
* `Polynomial.cardPowDegree_isEuclidean`: `cardPowDegree` respects the
Euclidean domain structure on the ring of polynomials
-/
namespace Polynomial
variable {Fq : Type*} [Field Fq] [Fintype Fq]
open AbsoluteValue
open Polynomial
/-- `cardPowDegree` is the absolute value on `𝔽_q[t]` sending `f` to `q ^ degree f`.
`cardPowDegree 0` is defined to be `0`. -/
noncomputable def cardPowDegree : AbsoluteValue Fq[X] ℤ :=
have card_pos : 0 < Fintype.card Fq := Fintype.card_pos_iff.mpr inferInstance
have pow_pos : ∀ n, 0 < (Fintype.card Fq : ℤ) ^ n := fun n =>
pow_pos (Int.natCast_pos.mpr card_pos) n
letI := Classical.decEq Fq;
{ toFun := fun p => if p = 0 then 0 else (Fintype.card Fq : ℤ) ^ p.natDegree
nonneg' := fun p => by
dsimp
split_ifs
· rfl
exact pow_nonneg (Int.ofNat_zero_le _) _
eq_zero' := fun p =>
ite_eq_left_iff.trans <|
⟨fun h => by
contrapose! h
exact ⟨h, (pow_pos _).ne'⟩, absurd⟩
add_le' := fun p q => by
by_cases hp : p = 0; · simp [hp]
by_cases hq : q = 0; · simp [hq]
by_cases hpq : p + q = 0
· simp only [hpq, hp, hq, eq_self_iff_true, if_true, if_false]
exact add_nonneg (pow_pos _).le (pow_pos _).le
simp only [hpq, hp, hq, if_false]
refine le_trans (pow_le_pow_right (by omega) (Polynomial.natDegree_add_le _ _)) ?_
refine
le_trans (le_max_iff.mpr ?_)
(max_le_add_of_nonneg (pow_nonneg (by omega) _) (pow_nonneg (by omega) _))
exact (max_choice p.natDegree q.natDegree).imp (fun h => by rw [h]) fun h => by rw [h]
map_mul' := fun p q => by
by_cases hp : p = 0; · simp [hp]
by_cases hq : q = 0; · simp [hq]
have hpq : p * q ≠ 0 := mul_ne_zero hp hq
simp only [hpq, hp, hq, eq_self_iff_true, if_true, if_false, Polynomial.natDegree_mul hp hq,
pow_add] }
#align polynomial.card_pow_degree Polynomial.cardPowDegree
| Mathlib/Algebra/Polynomial/Degree/CardPowDegree.lean | 79 | 83 | theorem cardPowDegree_apply [DecidableEq Fq] (p : Fq[X]) :
cardPowDegree p = if p = 0 then 0 else (Fintype.card Fq : ℤ) ^ natDegree p := by |
rw [cardPowDegree]
dsimp
convert rfl
|
/-
Copyright (c) 2021 David Wärn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Wärn, Scott Morrison
-/
import Mathlib.Data.Opposite
import Mathlib.Tactic.Cases
#align_import combinatorics.quiver.basic from "leanprover-community/mathlib"@"56adee5b5eef9e734d82272918300fca4f3e7cef"
/-!
# Quivers
This module defines quivers. A quiver on a type `V` of vertices assigns to every
pair `a b : V` of vertices a type `a ⟶ b` of arrows from `a` to `b`. This
is a very permissive notion of directed graph.
## Implementation notes
Currently `Quiver` is defined with `Hom : V → V → Sort v`.
This is different from the category theory setup,
where we insist that morphisms live in some `Type`.
There's some balance here: it's nice to allow `Prop` to ensure there are no multiple arrows,
but it is also results in error-prone universe signatures when constraints require a `Type`.
-/
open Opposite
-- We use the same universe order as in category theory.
-- See note [CategoryTheory universes]
universe v v₁ v₂ u u₁ u₂
/-- A quiver `G` on a type `V` of vertices assigns to every pair `a b : V` of vertices
a type `a ⟶ b` of arrows from `a` to `b`.
For graphs with no repeated edges, one can use `Quiver.{0} V`, which ensures
`a ⟶ b : Prop`. For multigraphs, one can use `Quiver.{v+1} V`, which ensures
`a ⟶ b : Type v`.
Because `Category` will later extend this class, we call the field `Hom`.
Except when constructing instances, you should rarely see this, and use the `⟶` notation instead.
-/
class Quiver (V : Type u) where
/-- The type of edges/arrows/morphisms between a given source and target. -/
Hom : V → V → Sort v
#align quiver Quiver
#align quiver.hom Quiver.Hom
/--
Notation for the type of edges/arrows/morphisms between a given source and target
in a quiver or category.
-/
infixr:10 " ⟶ " => Quiver.Hom
/-- A morphism of quivers. As we will later have categorical functors extend this structure,
we call it a `Prefunctor`. -/
structure Prefunctor (V : Type u₁) [Quiver.{v₁} V] (W : Type u₂) [Quiver.{v₂} W] where
/-- The action of a (pre)functor on vertices/objects. -/
obj : V → W
/-- The action of a (pre)functor on edges/arrows/morphisms. -/
map : ∀ {X Y : V}, (X ⟶ Y) → (obj X ⟶ obj Y)
#align prefunctor Prefunctor
namespace Prefunctor
-- Porting note: added during port.
-- These lemmas can not be `@[simp]` because after `whnfR` they have a variable on the LHS.
-- Nevertheless they are sometimes useful when building functors.
lemma mk_obj {V W : Type*} [Quiver V] [Quiver W] {obj : V → W} {map} {X : V} :
(Prefunctor.mk obj map).obj X = obj X := rfl
lemma mk_map {V W : Type*} [Quiver V] [Quiver W] {obj : V → W} {map} {X Y : V} {f : X ⟶ Y} :
(Prefunctor.mk obj map).map f = map f := rfl
@[ext]
theorem ext {V : Type u} [Quiver.{v₁} V] {W : Type u₂} [Quiver.{v₂} W] {F G : Prefunctor V W}
(h_obj : ∀ X, F.obj X = G.obj X)
(h_map : ∀ (X Y : V) (f : X ⟶ Y),
F.map f = Eq.recOn (h_obj Y).symm (Eq.recOn (h_obj X).symm (G.map f))) : F = G := by
cases' F with F_obj _
cases' G with G_obj _
obtain rfl : F_obj = G_obj := by
ext X
apply h_obj
congr
funext X Y f
simpa using h_map X Y f
#align prefunctor.ext Prefunctor.ext
/-- The identity morphism between quivers. -/
@[simps]
def id (V : Type*) [Quiver V] : Prefunctor V V where
obj := fun X => X
map f := f
#align prefunctor.id Prefunctor.id
#align prefunctor.id_obj Prefunctor.id_obj
#align prefunctor.id_map Prefunctor.id_map
instance (V : Type*) [Quiver V] : Inhabited (Prefunctor V V) :=
⟨id V⟩
/-- Composition of morphisms between quivers. -/
@[simps]
def comp {U : Type*} [Quiver U] {V : Type*} [Quiver V] {W : Type*} [Quiver W]
(F : Prefunctor U V) (G : Prefunctor V W) : Prefunctor U W where
obj X := G.obj (F.obj X)
map f := G.map (F.map f)
#align prefunctor.comp Prefunctor.comp
#align prefunctor.comp_obj Prefunctor.comp_obj
#align prefunctor.comp_map Prefunctor.comp_map
@[simp]
theorem comp_id {U V : Type*} [Quiver U] [Quiver V] (F : Prefunctor U V) :
F.comp (id _) = F := rfl
#align prefunctor.comp_id Prefunctor.comp_id
@[simp]
theorem id_comp {U V : Type*} [Quiver U] [Quiver V] (F : Prefunctor U V) :
(id _).comp F = F := rfl
#align prefunctor.id_comp Prefunctor.id_comp
@[simp]
theorem comp_assoc {U V W Z : Type*} [Quiver U] [Quiver V] [Quiver W] [Quiver Z]
(F : Prefunctor U V) (G : Prefunctor V W) (H : Prefunctor W Z) :
(F.comp G).comp H = F.comp (G.comp H) :=
rfl
#align prefunctor.comp_assoc Prefunctor.comp_assoc
/-- Notation for a prefunctor between quivers. -/
infixl:50 " ⥤q " => Prefunctor
/-- Notation for composition of prefunctors. -/
infixl:60 " ⋙q " => Prefunctor.comp
/-- Notation for the identity prefunctor on a quiver. -/
notation "𝟭q" => id
| Mathlib/Combinatorics/Quiver/Basic.lean | 138 | 140 | theorem congr_map {U V : Type*} [Quiver U] [Quiver V] (F : U ⥤q V) {X Y : U} {f g : X ⟶ Y}
(h : f = g) : F.map f = F.map g := by |
rw [h]
|
/-
Copyright (c) 2022 Jireh Loreaux. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jireh Loreaux
-/
import Mathlib.Algebra.Group.Subsemigroup.Basic
#align_import group_theory.subsemigroup.membership from "leanprover-community/mathlib"@"6cb77a8eaff0ddd100e87b1591c6d3ad319514ff"
/-!
# Subsemigroups: membership criteria
In this file we prove various facts about membership in a subsemigroup.
The intent is to mimic `GroupTheory/Submonoid/Membership`, but currently this file is mostly a
stub and only provides rudimentary support.
* `mem_iSup_of_directed`, `coe_iSup_of_directed`, `mem_sSup_of_directed_on`,
`coe_sSup_of_directed_on`: the supremum of a directed collection of subsemigroup is their union.
## TODO
* Define the `FreeSemigroup` generated by a set. This might require some rather substantial
additions to low-level API. For example, developing the subtype of nonempty lists, then defining
a product on nonempty lists, powers where the exponent is a positive natural, et cetera.
Another option would be to define the `FreeSemigroup` as the subsemigroup (pushed to be a
semigroup) of the `FreeMonoid` consisting of non-identity elements.
## Tags
subsemigroup
-/
assert_not_exists MonoidWithZero
variable {ι : Sort*} {M A B : Type*}
section NonAssoc
variable [Mul M]
open Set
namespace Subsemigroup
-- TODO: this section can be generalized to `[MulMemClass B M] [CompleteLattice B]`
-- such that `complete_lattice.le` coincides with `set_like.le`
@[to_additive]
theorem mem_iSup_of_directed {S : ι → Subsemigroup M} (hS : Directed (· ≤ ·) S) {x : M} :
(x ∈ ⨆ i, S i) ↔ ∃ i, x ∈ S i := by
refine ⟨?_, fun ⟨i, hi⟩ ↦ le_iSup S i hi⟩
suffices x ∈ closure (⋃ i, (S i : Set M)) → ∃ i, x ∈ S i by
simpa only [closure_iUnion, closure_eq (S _)] using this
refine fun hx ↦ closure_induction hx (fun y hy ↦ mem_iUnion.mp hy) ?_
rintro x y ⟨i, hi⟩ ⟨j, hj⟩
rcases hS i j with ⟨k, hki, hkj⟩
exact ⟨k, (S k).mul_mem (hki hi) (hkj hj)⟩
#align subsemigroup.mem_supr_of_directed Subsemigroup.mem_iSup_of_directed
#align add_subsemigroup.mem_supr_of_directed AddSubsemigroup.mem_iSup_of_directed
@[to_additive]
theorem coe_iSup_of_directed {S : ι → Subsemigroup M} (hS : Directed (· ≤ ·) S) :
((⨆ i, S i : Subsemigroup M) : Set M) = ⋃ i, S i :=
Set.ext fun x => by simp [mem_iSup_of_directed hS]
#align subsemigroup.coe_supr_of_directed Subsemigroup.coe_iSup_of_directed
#align add_subsemigroup.coe_supr_of_directed AddSubsemigroup.coe_iSup_of_directed
@[to_additive]
theorem mem_sSup_of_directed_on {S : Set (Subsemigroup M)} (hS : DirectedOn (· ≤ ·) S) {x : M} :
x ∈ sSup S ↔ ∃ s ∈ S, x ∈ s := by
simp only [sSup_eq_iSup', mem_iSup_of_directed hS.directed_val, SetCoe.exists, Subtype.coe_mk,
exists_prop]
#align subsemigroup.mem_Sup_of_directed_on Subsemigroup.mem_sSup_of_directed_on
#align add_subsemigroup.mem_Sup_of_directed_on AddSubsemigroup.mem_sSup_of_directed_on
@[to_additive]
theorem coe_sSup_of_directed_on {S : Set (Subsemigroup M)} (hS : DirectedOn (· ≤ ·) S) :
(↑(sSup S) : Set M) = ⋃ s ∈ S, ↑s :=
Set.ext fun x => by simp [mem_sSup_of_directed_on hS]
#align subsemigroup.coe_Sup_of_directed_on Subsemigroup.coe_sSup_of_directed_on
#align add_subsemigroup.coe_Sup_of_directed_on AddSubsemigroup.coe_sSup_of_directed_on
@[to_additive]
theorem mem_sup_left {S T : Subsemigroup M} : ∀ {x : M}, x ∈ S → x ∈ S ⊔ T := by
have : S ≤ S ⊔ T := le_sup_left
tauto
#align subsemigroup.mem_sup_left Subsemigroup.mem_sup_left
#align add_subsemigroup.mem_sup_left AddSubsemigroup.mem_sup_left
@[to_additive]
theorem mem_sup_right {S T : Subsemigroup M} : ∀ {x : M}, x ∈ T → x ∈ S ⊔ T := by
have : T ≤ S ⊔ T := le_sup_right
tauto
#align subsemigroup.mem_sup_right Subsemigroup.mem_sup_right
#align add_subsemigroup.mem_sup_right AddSubsemigroup.mem_sup_right
@[to_additive]
theorem mul_mem_sup {S T : Subsemigroup M} {x y : M} (hx : x ∈ S) (hy : y ∈ T) : x * y ∈ S ⊔ T :=
mul_mem (mem_sup_left hx) (mem_sup_right hy)
#align subsemigroup.mul_mem_sup Subsemigroup.mul_mem_sup
#align add_subsemigroup.add_mem_sup AddSubsemigroup.add_mem_sup
@[to_additive]
theorem mem_iSup_of_mem {S : ι → Subsemigroup M} (i : ι) : ∀ {x : M}, x ∈ S i → x ∈ iSup S := by
have : S i ≤ iSup S := le_iSup _ _
tauto
#align subsemigroup.mem_supr_of_mem Subsemigroup.mem_iSup_of_mem
#align add_subsemigroup.mem_supr_of_mem AddSubsemigroup.mem_iSup_of_mem
@[to_additive]
| Mathlib/Algebra/Group/Subsemigroup/Membership.lean | 109 | 112 | theorem mem_sSup_of_mem {S : Set (Subsemigroup M)} {s : Subsemigroup M} (hs : s ∈ S) :
∀ {x : M}, x ∈ s → x ∈ sSup S := by |
have : s ≤ sSup S := le_sSup hs
tauto
|
/-
Copyright (c) 2022 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Batteries.Data.Rat.Basic
import Batteries.Tactic.SeqFocus
/-! # Additional lemmas about the Rational Numbers -/
namespace Rat
theorem ext : {p q : Rat} → p.num = q.num → p.den = q.den → p = q
| ⟨_,_,_,_⟩, ⟨_,_,_,_⟩, rfl, rfl => rfl
@[simp] theorem mk_den_one {r : Int} :
⟨r, 1, Nat.one_ne_zero, (Nat.coprime_one_right _)⟩ = (r : Rat) := rfl
@[simp] theorem zero_num : (0 : Rat).num = 0 := rfl
@[simp] theorem zero_den : (0 : Rat).den = 1 := rfl
@[simp] theorem one_num : (1 : Rat).num = 1 := rfl
@[simp] theorem one_den : (1 : Rat).den = 1 := rfl
@[simp] theorem maybeNormalize_eq {num den g} (den_nz reduced) :
maybeNormalize num den g den_nz reduced =
{ num := num.div g, den := den / g, den_nz, reduced } := by
unfold maybeNormalize; split
· subst g; simp
· rfl
theorem normalize.reduced' {num : Int} {den g : Nat} (den_nz : den ≠ 0)
(e : g = num.natAbs.gcd den) : (num / g).natAbs.Coprime (den / g) := by
rw [← Int.div_eq_ediv_of_dvd (e ▸ Int.ofNat_dvd_left.2 (Nat.gcd_dvd_left ..))]
exact normalize.reduced den_nz e
theorem normalize_eq {num den} (den_nz) : normalize num den den_nz =
{ num := num / num.natAbs.gcd den
den := den / num.natAbs.gcd den
den_nz := normalize.den_nz den_nz rfl
reduced := normalize.reduced' den_nz rfl } := by
simp only [normalize, maybeNormalize_eq,
Int.div_eq_ediv_of_dvd (Int.ofNat_dvd_left.2 (Nat.gcd_dvd_left ..))]
@[simp] theorem normalize_zero (nz) : normalize 0 d nz = 0 := by
simp [normalize, Int.zero_div, Int.natAbs_zero, Nat.div_self (Nat.pos_of_ne_zero nz)]; rfl
theorem mk_eq_normalize (num den nz c) : ⟨num, den, nz, c⟩ = normalize num den nz := by
simp [normalize_eq, c.gcd_eq_one]
theorem normalize_self (r : Rat) : normalize r.num r.den r.den_nz = r := (mk_eq_normalize ..).symm
theorem normalize_mul_left {a : Nat} (d0 : d ≠ 0) (a0 : a ≠ 0) :
normalize (↑a * n) (a * d) (Nat.mul_ne_zero a0 d0) = normalize n d d0 := by
simp [normalize_eq, mk'.injEq, Int.natAbs_mul, Nat.gcd_mul_left,
Nat.mul_div_mul_left _ _ (Nat.pos_of_ne_zero a0), Int.ofNat_mul,
Int.mul_ediv_mul_of_pos _ _ (Int.ofNat_pos.2 <| Nat.pos_of_ne_zero a0)]
| .lake/packages/batteries/Batteries/Data/Rat/Lemmas.lean | 58 | 60 | theorem normalize_mul_right {a : Nat} (d0 : d ≠ 0) (a0 : a ≠ 0) :
normalize (n * a) (d * a) (Nat.mul_ne_zero d0 a0) = normalize n d d0 := by |
rw [← normalize_mul_left (d0 := d0) a0]; congr 1 <;> [apply Int.mul_comm; apply Nat.mul_comm]
|
/-
Copyright (c) 2021 Gabriel Moise. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Gabriel Moise, Yaël Dillies, Kyle Miller
-/
import Mathlib.Combinatorics.SimpleGraph.Finite
import Mathlib.Data.Finset.Sym
import Mathlib.Data.Matrix.Basic
#align_import combinatorics.simple_graph.inc_matrix from "leanprover-community/mathlib"@"bb168510ef455e9280a152e7f31673cabd3d7496"
/-!
# Incidence matrix of a simple graph
This file defines the unoriented incidence matrix of a simple graph.
## Main definitions
* `SimpleGraph.incMatrix`: `G.incMatrix R` is the incidence matrix of `G` over the ring `R`.
## Main results
* `SimpleGraph.incMatrix_mul_transpose_diag`: The diagonal entries of the product of
`G.incMatrix R` and its transpose are the degrees of the vertices.
* `SimpleGraph.incMatrix_mul_transpose`: Gives a complete description of the product of
`G.incMatrix R` and its transpose; the diagonal is the degrees of each vertex, and the
off-diagonals are 1 or 0 depending on whether or not the vertices are adjacent.
* `SimpleGraph.incMatrix_transpose_mul_diag`: The diagonal entries of the product of the
transpose of `G.incMatrix R` and `G.inc_matrix R` are `2` or `0` depending on whether or
not the unordered pair is an edge of `G`.
## Implementation notes
The usual definition of an incidence matrix has one row per vertex and one column per edge.
However, this definition has columns indexed by all of `Sym2 α`, where `α` is the vertex type.
This appears not to change the theory, and for simple graphs it has the nice effect that every
incidence matrix for each `SimpleGraph α` has the same type.
## TODO
* Define the oriented incidence matrices for oriented graphs.
* Define the graph Laplacian of a simple graph using the oriented incidence matrix from an
arbitrary orientation of a simple graph.
-/
open Finset Matrix SimpleGraph Sym2
open Matrix
namespace SimpleGraph
variable (R : Type*) {α : Type*} (G : SimpleGraph α)
/-- `G.incMatrix R` is the `α × Sym2 α` matrix whose `(a, e)`-entry is `1` if `e` is incident to
`a` and `0` otherwise. -/
noncomputable def incMatrix [Zero R] [One R] : Matrix α (Sym2 α) R := fun a =>
(G.incidenceSet a).indicator 1
#align simple_graph.inc_matrix SimpleGraph.incMatrix
variable {R}
theorem incMatrix_apply [Zero R] [One R] {a : α} {e : Sym2 α} :
G.incMatrix R a e = (G.incidenceSet a).indicator 1 e :=
rfl
#align simple_graph.inc_matrix_apply SimpleGraph.incMatrix_apply
/-- Entries of the incidence matrix can be computed given additional decidable instances. -/
theorem incMatrix_apply' [Zero R] [One R] [DecidableEq α] [DecidableRel G.Adj] {a : α}
{e : Sym2 α} : G.incMatrix R a e = if e ∈ G.incidenceSet a then 1 else 0 := by
unfold incMatrix Set.indicator
convert rfl
#align simple_graph.inc_matrix_apply' SimpleGraph.incMatrix_apply'
section MulZeroOneClass
variable [MulZeroOneClass R] {a b : α} {e : Sym2 α}
theorem incMatrix_apply_mul_incMatrix_apply : G.incMatrix R a e * G.incMatrix R b e =
(G.incidenceSet a ∩ G.incidenceSet b).indicator 1 e := by
classical simp only [incMatrix, Set.indicator_apply, ite_zero_mul_ite_zero, Pi.one_apply, mul_one,
Set.mem_inter_iff]
#align simple_graph.inc_matrix_apply_mul_inc_matrix_apply SimpleGraph.incMatrix_apply_mul_incMatrix_apply
| Mathlib/Combinatorics/SimpleGraph/IncMatrix.lean | 85 | 89 | theorem incMatrix_apply_mul_incMatrix_apply_of_not_adj (hab : a ≠ b) (h : ¬G.Adj a b) :
G.incMatrix R a e * G.incMatrix R b e = 0 := by |
rw [incMatrix_apply_mul_incMatrix_apply, Set.indicator_of_not_mem]
rw [G.incidenceSet_inter_incidenceSet_of_not_adj h hab]
exact Set.not_mem_empty e
|
/-
Copyright (c) 2020 Zhouhang Zhou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Yury Kudryashov
-/
import Mathlib.Order.Filter.AtTopBot
#align_import order.filter.indicator_function from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
/-!
# Indicator function and filters
Properties of additive and multiplicative indicator functions involving `=ᶠ` and `≤ᶠ`.
## Tags
indicator, characteristic, filter
-/
variable {α β M E : Type*}
open Set Filter
section One
variable [One M] {s t : Set α} {f g : α → M} {a : α} {l : Filter α}
@[to_additive]
theorem mulIndicator_eventuallyEq (hf : f =ᶠ[l ⊓ 𝓟 s] g) (hs : s =ᶠ[l] t) :
mulIndicator s f =ᶠ[l] mulIndicator t g :=
(eventually_inf_principal.1 hf).mp <| hs.mem_iff.mono fun x hst hfg =>
by_cases
(fun hxs : x ∈ s => by simp only [*, hst.1 hxs, mulIndicator_of_mem])
(fun hxs => by simp only [mulIndicator_of_not_mem, hxs, mt hst.2 hxs, not_false_eq_true])
#align indicator_eventually_eq indicator_eventuallyEq
end One
section Monoid
variable [Monoid M] {s t : Set α} {f g : α → M} {a : α} {l : Filter α}
@[to_additive]
theorem mulIndicator_union_eventuallyEq (h : ∀ᶠ a in l, a ∉ s ∩ t) :
mulIndicator (s ∪ t) f =ᶠ[l] mulIndicator s f * mulIndicator t f :=
h.mono fun _a ha => mulIndicator_union_of_not_mem_inter ha _
#align indicator_union_eventually_eq indicator_union_eventuallyEq
end Monoid
section Order
variable [One β] [Preorder β] {s t : Set α} {f g : α → β} {a : α} {l : Filter α}
@[to_additive]
theorem mulIndicator_eventuallyLE_mulIndicator (h : f ≤ᶠ[l ⊓ 𝓟 s] g) :
mulIndicator s f ≤ᶠ[l] mulIndicator s g :=
(eventually_inf_principal.1 h).mono fun _ => mulIndicator_rel_mulIndicator le_rfl
#align indicator_eventually_le_indicator indicator_eventuallyLE_indicator
end Order
@[to_additive]
theorem Monotone.mulIndicator_eventuallyEq_iUnion {ι} [Preorder ι] [One β] (s : ι → Set α)
(hs : Monotone s) (f : α → β) (a : α) :
(fun i => mulIndicator (s i) f a) =ᶠ[atTop] fun _ ↦ mulIndicator (⋃ i, s i) f a := by
classical exact hs.piecewise_eventually_eq_iUnion f 1 a
@[to_additive]
theorem Monotone.tendsto_mulIndicator {ι} [Preorder ι] [One β] (s : ι → Set α) (hs : Monotone s)
(f : α → β) (a : α) :
Tendsto (fun i => mulIndicator (s i) f a) atTop (pure <| mulIndicator (⋃ i, s i) f a) :=
tendsto_pure.2 <| hs.mulIndicator_eventuallyEq_iUnion s f a
#align monotone.tendsto_indicator Monotone.tendsto_indicator
@[to_additive]
theorem Antitone.mulIndicator_eventuallyEq_iInter {ι} [Preorder ι] [One β] (s : ι → Set α)
(hs : Antitone s) (f : α → β) (a : α) :
(fun i => mulIndicator (s i) f a) =ᶠ[atTop] fun _ ↦ mulIndicator (⋂ i, s i) f a := by
classical exact hs.piecewise_eventually_eq_iInter f 1 a
@[to_additive]
theorem Antitone.tendsto_mulIndicator {ι} [Preorder ι] [One β] (s : ι → Set α) (hs : Antitone s)
(f : α → β) (a : α) :
Tendsto (fun i => mulIndicator (s i) f a) atTop (pure <| mulIndicator (⋂ i, s i) f a) :=
tendsto_pure.2 <| hs.mulIndicator_eventuallyEq_iInter s f a
#align antitone.tendsto_indicator Antitone.tendsto_indicator
@[to_additive]
| Mathlib/Order/Filter/IndicatorFunction.lean | 89 | 94 | theorem mulIndicator_biUnion_finset_eventuallyEq {ι} [One β] (s : ι → Set α) (f : α → β) (a : α) :
(fun n : Finset ι => mulIndicator (⋃ i ∈ n, s i) f a) =ᶠ[atTop]
fun _ ↦ mulIndicator (iUnion s) f a := by |
rw [iUnion_eq_iUnion_finset s]
apply Monotone.mulIndicator_eventuallyEq_iUnion
exact fun _ _ ↦ biUnion_subset_biUnion_left
|
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