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/-
Copyright (c) 2020 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.Order.Invertible
import Mathlib.Algebra.Order.Module.OrderedSMul
import Mathlib.Algebra.Order.Group.Instances
import Mathlib.LinearAlgebra.AffineSpace.Slope
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
import Mathlib.Tactic.FieldSimp
#align_import linear_algebra.affine_space.ordered from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
/-!
# Ordered modules as affine spaces
In this file we prove some theorems about `slope` and `lineMap` in the case when the module `E`
acting on the codomain `PE` of a function is an ordered module over its domain `k`. We also prove
inequalities that can be used to link convexity of a function on an interval to monotonicity of the
slope, see section docstring below for details.
## Implementation notes
We do not introduce the notion of ordered affine spaces (yet?). Instead, we prove various theorems
for an ordered module interpreted as an affine space.
## Tags
affine space, ordered module, slope
-/
open AffineMap
variable {k E PE : Type*}
/-!
### Monotonicity of `lineMap`
In this section we prove that `lineMap a b r` is monotone (strictly or not) in its arguments if
other arguments belong to specific domains.
-/
section OrderedRing
variable [OrderedRing k] [OrderedAddCommGroup E] [Module k E] [OrderedSMul k E]
variable {a a' b b' : E} {r r' : k}
| Mathlib/LinearAlgebra/AffineSpace/Ordered.lean | 52 | 54 | theorem lineMap_mono_left (ha : a ≤ a') (hr : r ≤ 1) : lineMap a b r ≤ lineMap a' b r := by |
simp only [lineMap_apply_module]
exact add_le_add_right (smul_le_smul_of_nonneg_left ha (sub_nonneg.2 hr)) _
|
/-
Copyright (c) 2018 Guy Leroy. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sangwoo Jo (aka Jason), Guy Leroy, Johannes Hölzl, Mario Carneiro
-/
import Mathlib.Algebra.Group.Commute.Units
import Mathlib.Algebra.Group.Int
import Mathlib.Algebra.GroupWithZero.Semiconj
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Order.Bounds.Basic
#align_import data.int.gcd from "leanprover-community/mathlib"@"47a1a73351de8dd6c8d3d32b569c8e434b03ca47"
/-!
# Extended GCD and divisibility over ℤ
## Main definitions
* Given `x y : ℕ`, `xgcd x y` computes the pair of integers `(a, b)` such that
`gcd x y = x * a + y * b`. `gcdA x y` and `gcdB x y` are defined to be `a` and `b`,
respectively.
## Main statements
* `gcd_eq_gcd_ab`: Bézout's lemma, given `x y : ℕ`, `gcd x y = x * gcdA x y + y * gcdB x y`.
## Tags
Bézout's lemma, Bezout's lemma
-/
/-! ### Extended Euclidean algorithm -/
namespace Nat
/-- Helper function for the extended GCD algorithm (`Nat.xgcd`). -/
def xgcdAux : ℕ → ℤ → ℤ → ℕ → ℤ → ℤ → ℕ × ℤ × ℤ
| 0, _, _, r', s', t' => (r', s', t')
| succ k, s, t, r', s', t' =>
let q := r' / succ k
xgcdAux (r' % succ k) (s' - q * s) (t' - q * t) (succ k) s t
termination_by k => k
decreasing_by exact mod_lt _ <| (succ_pos _).gt
#align nat.xgcd_aux Nat.xgcdAux
@[simp]
| Mathlib/Data/Int/GCD.lean | 48 | 48 | theorem xgcd_zero_left {s t r' s' t'} : xgcdAux 0 s t r' s' t' = (r', s', t') := by | simp [xgcdAux]
|
/-
Copyright (c) 2020 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Sébastien Gouëzel
-/
import Mathlib.MeasureTheory.Measure.Haar.InnerProductSpace
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import measure_theory.measure.haar.normed_space from "leanprover-community/mathlib"@"b84aee748341da06a6d78491367e2c0e9f15e8a5"
/-!
# Basic properties of Haar measures on real vector spaces
-/
noncomputable section
open scoped NNReal ENNReal Pointwise Topology
open Inv Set Function MeasureTheory.Measure Filter
open FiniteDimensional
namespace MeasureTheory
namespace Measure
/- The instance `MeasureTheory.Measure.IsAddHaarMeasure.noAtoms` applies in particular to show that
an additive Haar measure on a nontrivial finite-dimensional real vector space has no atom. -/
example {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [Nontrivial E] [FiniteDimensional ℝ E]
[MeasurableSpace E] [BorelSpace E] (μ : Measure E) [IsAddHaarMeasure μ] : NoAtoms μ := by
infer_instance
section ContinuousLinearEquiv
variable {𝕜 G H : Type*} [MeasurableSpace G] [MeasurableSpace H] [NontriviallyNormedField 𝕜]
[TopologicalSpace G] [TopologicalSpace H] [AddCommGroup G] [AddCommGroup H]
[TopologicalAddGroup G] [TopologicalAddGroup H] [Module 𝕜 G] [Module 𝕜 H] (μ : Measure G)
[IsAddHaarMeasure μ] [BorelSpace G] [BorelSpace H] [T2Space H]
instance MapContinuousLinearEquiv.isAddHaarMeasure (e : G ≃L[𝕜] H) : IsAddHaarMeasure (μ.map e) :=
e.toAddEquiv.isAddHaarMeasure_map _ e.continuous e.symm.continuous
#align measure_theory.measure.map_continuous_linear_equiv.is_add_haar_measure MeasureTheory.Measure.MapContinuousLinearEquiv.isAddHaarMeasure
variable [CompleteSpace 𝕜] [T2Space G] [FiniteDimensional 𝕜 G] [ContinuousSMul 𝕜 G]
[ContinuousSMul 𝕜 H]
instance MapLinearEquiv.isAddHaarMeasure (e : G ≃ₗ[𝕜] H) : IsAddHaarMeasure (μ.map e) :=
MapContinuousLinearEquiv.isAddHaarMeasure _ e.toContinuousLinearEquiv
#align measure_theory.measure.map_linear_equiv.is_add_haar_measure MeasureTheory.Measure.MapLinearEquiv.isAddHaarMeasure
end ContinuousLinearEquiv
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [MeasurableSpace E] [BorelSpace E]
[FiniteDimensional ℝ E] (μ : Measure E) [IsAddHaarMeasure μ] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F]
variable {s : Set E}
/-- The integral of `f (R • x)` with respect to an additive Haar measure is a multiple of the
integral of `f`. The formula we give works even when `f` is not integrable or `R = 0`
thanks to the convention that a non-integrable function has integral zero. -/
theorem integral_comp_smul (f : E → F) (R : ℝ) :
∫ x, f (R • x) ∂μ = |(R ^ finrank ℝ E)⁻¹| • ∫ x, f x ∂μ := by
by_cases hF : CompleteSpace F; swap
· simp [integral, hF]
rcases eq_or_ne R 0 with (rfl | hR)
· simp only [zero_smul, integral_const]
rcases Nat.eq_zero_or_pos (finrank ℝ E) with (hE | hE)
· have : Subsingleton E := finrank_zero_iff.1 hE
have : f = fun _ => f 0 := by ext x; rw [Subsingleton.elim x 0]
conv_rhs => rw [this]
simp only [hE, pow_zero, inv_one, abs_one, one_smul, integral_const]
· have : Nontrivial E := finrank_pos_iff.1 hE
simp only [zero_pow hE.ne', measure_univ_of_isAddLeftInvariant, ENNReal.top_toReal, zero_smul,
inv_zero, abs_zero]
· calc
(∫ x, f (R • x) ∂μ) = ∫ y, f y ∂Measure.map (fun x => R • x) μ :=
(integral_map_equiv (Homeomorph.smul (isUnit_iff_ne_zero.2 hR).unit).toMeasurableEquiv
f).symm
_ = |(R ^ finrank ℝ E)⁻¹| • ∫ x, f x ∂μ := by
simp only [map_addHaar_smul μ hR, integral_smul_measure, ENNReal.toReal_ofReal, abs_nonneg]
#align measure_theory.measure.integral_comp_smul MeasureTheory.Measure.integral_comp_smul
/-- The integral of `f (R • x)` with respect to an additive Haar measure is a multiple of the
integral of `f`. The formula we give works even when `f` is not integrable or `R = 0`
thanks to the convention that a non-integrable function has integral zero. -/
theorem integral_comp_smul_of_nonneg (f : E → F) (R : ℝ) {hR : 0 ≤ R} :
∫ x, f (R • x) ∂μ = (R ^ finrank ℝ E)⁻¹ • ∫ x, f x ∂μ := by
rw [integral_comp_smul μ f R, abs_of_nonneg (inv_nonneg.2 (pow_nonneg hR _))]
#align measure_theory.measure.integral_comp_smul_of_nonneg MeasureTheory.Measure.integral_comp_smul_of_nonneg
/-- The integral of `f (R⁻¹ • x)` with respect to an additive Haar measure is a multiple of the
integral of `f`. The formula we give works even when `f` is not integrable or `R = 0`
thanks to the convention that a non-integrable function has integral zero. -/
| Mathlib/MeasureTheory/Measure/Haar/NormedSpace.lean | 97 | 99 | theorem integral_comp_inv_smul (f : E → F) (R : ℝ) :
∫ x, f (R⁻¹ • x) ∂μ = |R ^ finrank ℝ E| • ∫ x, f x ∂μ := by |
rw [integral_comp_smul μ f R⁻¹, inv_pow, inv_inv]
|
/-
Copyright (c) 2021 Markus Himmel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Markus Himmel
-/
import Mathlib.Algebra.Category.ModuleCat.EpiMono
import Mathlib.Algebra.Category.ModuleCat.Kernels
import Mathlib.CategoryTheory.Subobject.WellPowered
import Mathlib.CategoryTheory.Subobject.Limits
#align_import algebra.category.Module.subobject from "leanprover-community/mathlib"@"6d584f1709bedbed9175bd9350df46599bdd7213"
/-!
# Subobjects in the category of `R`-modules
We construct an explicit order isomorphism between the categorical subobjects of an `R`-module `M`
and its submodules. This immediately implies that the category of `R`-modules is well-powered.
-/
open CategoryTheory
open CategoryTheory.Subobject
open CategoryTheory.Limits
open ModuleCat
universe v u
namespace ModuleCat
set_option linter.uppercaseLean3 false -- `Module`
variable {R : Type u} [Ring R] (M : ModuleCat.{v} R)
/-- The categorical subobjects of a module `M` are in one-to-one correspondence with its
submodules. -/
noncomputable def subobjectModule : Subobject M ≃o Submodule R M :=
OrderIso.symm
{ invFun := fun S => LinearMap.range S.arrow
toFun := fun N => Subobject.mk (↾N.subtype)
right_inv := fun S => Eq.symm (by
fapply eq_mk_of_comm
· apply LinearEquiv.toModuleIso'Left
apply LinearEquiv.ofBijective (LinearMap.codRestrict (LinearMap.range S.arrow) S.arrow _)
constructor
· simp [← LinearMap.ker_eq_bot, LinearMap.ker_codRestrict]
rw [ker_eq_bot_of_mono]
· rw [← LinearMap.range_eq_top, LinearMap.range_codRestrict, Submodule.comap_subtype_self]
exact LinearMap.mem_range_self _
· apply LinearMap.ext
intro x
rfl)
left_inv := fun N => by
-- Porting note: The type of `↾N.subtype` was ambiguous. Not entirely sure, I made the right
-- choice here
convert congr_arg LinearMap.range
(underlyingIso_arrow (↾N.subtype : of R { x // x ∈ N } ⟶ M)) using 1
· have :
-- Porting note: added the `.toLinearEquiv.toLinearMap`
(underlyingIso (↾N.subtype : of R _ ⟶ M)).inv =
(underlyingIso (↾N.subtype : of R _ ⟶ M)).symm.toLinearEquiv.toLinearMap := by
apply LinearMap.ext
intro x
rfl
rw [this, comp_def, LinearEquiv.range_comp]
· exact (Submodule.range_subtype _).symm
map_rel_iff' := fun {S T} => by
refine ⟨fun h => ?_, fun h => mk_le_mk_of_comm (↟(Submodule.inclusion h)) rfl⟩
convert LinearMap.range_comp_le_range (ofMkLEMk _ _ h) (↾T.subtype)
· simpa only [← comp_def, ofMkLEMk_comp] using (Submodule.range_subtype _).symm
· exact (Submodule.range_subtype _).symm }
#align Module.subobject_Module ModuleCat.subobjectModule
instance wellPowered_moduleCat : WellPowered (ModuleCat.{v} R) :=
⟨fun M => ⟨⟨_, ⟨(subobjectModule M).toEquiv⟩⟩⟩⟩
#align Module.well_powered_Module ModuleCat.wellPowered_moduleCat
attribute [local instance] hasKernels_moduleCat
/-- Bundle an element `m : M` such that `f m = 0` as a term of `kernelSubobject f`. -/
noncomputable def toKernelSubobject {M N : ModuleCat.{v} R} {f : M ⟶ N} :
LinearMap.ker f →ₗ[R] kernelSubobject f :=
(kernelSubobjectIso f ≪≫ ModuleCat.kernelIsoKer f).inv
#align Module.to_kernel_subobject ModuleCat.toKernelSubobject
@[simp]
theorem toKernelSubobject_arrow {M N : ModuleCat R} {f : M ⟶ N} (x : LinearMap.ker f) :
(kernelSubobject f).arrow (toKernelSubobject x) = x.1 := by
-- Porting note: The whole proof was just `simp [toKernelSubobject]`.
suffices ((arrow ((kernelSubobject f))) ∘ (kernelSubobjectIso f ≪≫ kernelIsoKer f).inv) x = x by
convert this
rw [Iso.trans_inv, ← coe_comp, Category.assoc]
simp only [Category.assoc, kernelSubobject_arrow', kernelIsoKer_inv_kernel_ι]
aesop_cat
#align Module.to_kernel_subobject_arrow ModuleCat.toKernelSubobject_arrow
/-- An extensionality lemma showing that two elements of a cokernel by an image
are equal if they differ by an element of the image.
The application is for homology:
two elements in homology are equal if they differ by a boundary.
-/
-- Porting note (#11215): TODO compiler complains that this is marked with `@[ext]`.
-- Should this be changed?
-- @[ext] this is no longer an ext lemma under the current interpretation see eg
-- the conversation beginning at
-- https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/
-- Goal.20state.20not.20updating.2C.20bugs.2C.20etc.2E/near/338456803
| Mathlib/Algebra/Category/ModuleCat/Subobject.lean | 111 | 120 | theorem cokernel_π_imageSubobject_ext {L M N : ModuleCat.{v} R} (f : L ⟶ M) [HasImage f]
(g : (imageSubobject f : ModuleCat.{v} R) ⟶ N) [HasCokernel g] {x y : N} (l : L)
(w : x = y + g (factorThruImageSubobject f l)) : cokernel.π g x = cokernel.π g y := by |
subst w
-- Porting note: The proof from here used to just be `simp`.
simp only [map_add, add_right_eq_self]
change ((cokernel.π g) ∘ (g) ∘ (factorThruImageSubobject f)) l = 0
rw [← coe_comp, ← coe_comp, Category.assoc]
simp only [cokernel.condition, comp_zero]
rfl
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Kevin Buzzard, Yury Kudryashov
-/
import Mathlib.Algebra.Module.Equiv
import Mathlib.Algebra.Module.Submodule.Basic
import Mathlib.Algebra.PUnitInstances
import Mathlib.Data.Set.Subsingleton
#align_import algebra.module.submodule.lattice from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
/-!
# The lattice structure on `Submodule`s
This file defines the lattice structure on submodules, `Submodule.CompleteLattice`, with `⊥`
defined as `{0}` and `⊓` defined as intersection of the underlying carrier.
If `p` and `q` are submodules of a module, `p ≤ q` means that `p ⊆ q`.
Many results about operations on this lattice structure are defined in `LinearAlgebra/Basic.lean`,
most notably those which use `span`.
## Implementation notes
This structure should match the `AddSubmonoid.CompleteLattice` structure, and we should try
to unify the APIs where possible.
-/
universe v
variable {R S M : Type*}
section AddCommMonoid
variable [Semiring R] [Semiring S] [AddCommMonoid M] [Module R M] [Module S M]
variable [SMul S R] [IsScalarTower S R M]
variable {p q : Submodule R M}
namespace Submodule
/-!
## Bottom element of a submodule
-/
/-- The set `{0}` is the bottom element of the lattice of submodules. -/
instance : Bot (Submodule R M) :=
⟨{ (⊥ : AddSubmonoid M) with
carrier := {0}
smul_mem' := by simp }⟩
instance inhabited' : Inhabited (Submodule R M) :=
⟨⊥⟩
#align submodule.inhabited' Submodule.inhabited'
@[simp]
theorem bot_coe : ((⊥ : Submodule R M) : Set M) = {0} :=
rfl
#align submodule.bot_coe Submodule.bot_coe
@[simp]
theorem bot_toAddSubmonoid : (⊥ : Submodule R M).toAddSubmonoid = ⊥ :=
rfl
#align submodule.bot_to_add_submonoid Submodule.bot_toAddSubmonoid
@[simp]
lemma bot_toAddSubgroup {R M} [Ring R] [AddCommGroup M] [Module R M] :
(⊥ : Submodule R M).toAddSubgroup = ⊥ := rfl
variable (R) in
@[simp]
theorem mem_bot {x : M} : x ∈ (⊥ : Submodule R M) ↔ x = 0 :=
Set.mem_singleton_iff
#align submodule.mem_bot Submodule.mem_bot
instance uniqueBot : Unique (⊥ : Submodule R M) :=
⟨inferInstance, fun x ↦ Subtype.ext <| (mem_bot R).1 x.mem⟩
#align submodule.unique_bot Submodule.uniqueBot
instance : OrderBot (Submodule R M) where
bot := ⊥
bot_le p x := by simp (config := { contextual := true }) [zero_mem]
protected theorem eq_bot_iff (p : Submodule R M) : p = ⊥ ↔ ∀ x ∈ p, x = (0 : M) :=
⟨fun h ↦ h.symm ▸ fun _ hx ↦ (mem_bot R).mp hx,
fun h ↦ eq_bot_iff.mpr fun x hx ↦ (mem_bot R).mpr (h x hx)⟩
#align submodule.eq_bot_iff Submodule.eq_bot_iff
@[ext high]
protected theorem bot_ext (x y : (⊥ : Submodule R M)) : x = y := by
rcases x with ⟨x, xm⟩; rcases y with ⟨y, ym⟩; congr
rw [(Submodule.eq_bot_iff _).mp rfl x xm]
rw [(Submodule.eq_bot_iff _).mp rfl y ym]
#align submodule.bot_ext Submodule.bot_ext
protected theorem ne_bot_iff (p : Submodule R M) : p ≠ ⊥ ↔ ∃ x ∈ p, x ≠ (0 : M) := by
simp only [ne_eq, p.eq_bot_iff, not_forall, exists_prop]
#align submodule.ne_bot_iff Submodule.ne_bot_iff
theorem nonzero_mem_of_bot_lt {p : Submodule R M} (bot_lt : ⊥ < p) : ∃ a : p, a ≠ 0 :=
let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp bot_lt.ne'
⟨⟨b, hb₁⟩, hb₂ ∘ congr_arg Subtype.val⟩
#align submodule.nonzero_mem_of_bot_lt Submodule.nonzero_mem_of_bot_lt
theorem exists_mem_ne_zero_of_ne_bot {p : Submodule R M} (h : p ≠ ⊥) : ∃ b : M, b ∈ p ∧ b ≠ 0 :=
let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp h
⟨b, hb₁, hb₂⟩
#align submodule.exists_mem_ne_zero_of_ne_bot Submodule.exists_mem_ne_zero_of_ne_bot
-- FIXME: we default PUnit to PUnit.{1} here without the explicit universe annotation
/-- The bottom submodule is linearly equivalent to punit as an `R`-module. -/
@[simps]
def botEquivPUnit : (⊥ : Submodule R M) ≃ₗ[R] PUnit.{v+1} where
toFun _ := PUnit.unit
invFun _ := 0
map_add' _ _ := rfl
map_smul' _ _ := rfl
left_inv _ := Subsingleton.elim _ _
right_inv _ := rfl
#align submodule.bot_equiv_punit Submodule.botEquivPUnit
theorem subsingleton_iff_eq_bot : Subsingleton p ↔ p = ⊥ := by
rw [subsingleton_iff, Submodule.eq_bot_iff]
refine ⟨fun h x hx ↦ by simpa using h ⟨x, hx⟩ ⟨0, p.zero_mem⟩,
fun h ⟨x, hx⟩ ⟨y, hy⟩ ↦ by simp [h x hx, h y hy]⟩
theorem eq_bot_of_subsingleton [Subsingleton p] : p = ⊥ :=
subsingleton_iff_eq_bot.mp inferInstance
#align submodule.eq_bot_of_subsingleton Submodule.eq_bot_of_subsingleton
| Mathlib/Algebra/Module/Submodule/Lattice.lean | 131 | 132 | theorem nontrivial_iff_ne_bot : Nontrivial p ↔ p ≠ ⊥ := by |
rw [iff_not_comm, not_nontrivial_iff_subsingleton, subsingleton_iff_eq_bot]
|
/-
Copyright (c) 2015 Microsoft Corporation. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Leonardo de Moura, Jeremy Avigad, Mario Carneiro
-/
import Mathlib.Algebra.BigOperators.Ring.List
import Mathlib.Data.Nat.Prime
import Mathlib.Data.List.Prime
import Mathlib.Data.List.Sort
import Mathlib.Data.List.Chain
#align_import data.nat.factors from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab"
/-!
# Prime numbers
This file deals with the factors of natural numbers.
## Important declarations
- `Nat.factors n`: the prime factorization of `n`
- `Nat.factors_unique`: uniqueness of the prime factorisation
-/
open Bool Subtype
open Nat
namespace Nat
attribute [instance 0] instBEqNat
/-- `factors n` is the prime factorization of `n`, listed in increasing order. -/
def factors : ℕ → List ℕ
| 0 => []
| 1 => []
| k + 2 =>
let m := minFac (k + 2)
m :: factors ((k + 2) / m)
decreasing_by show (k + 2) / m < (k + 2); exact factors_lemma
#align nat.factors Nat.factors
@[simp]
theorem factors_zero : factors 0 = [] := by rw [factors]
#align nat.factors_zero Nat.factors_zero
@[simp]
theorem factors_one : factors 1 = [] := by rw [factors]
#align nat.factors_one Nat.factors_one
@[simp]
theorem factors_two : factors 2 = [2] := by simp [factors]
theorem prime_of_mem_factors {n : ℕ} : ∀ {p : ℕ}, (h : p ∈ factors n) → Prime p := by
match n with
| 0 => simp
| 1 => simp
| k + 2 =>
intro p h
let m := minFac (k + 2)
have : (k + 2) / m < (k + 2) := factors_lemma
have h₁ : p = m ∨ p ∈ factors ((k + 2) / m) :=
List.mem_cons.1 (by rwa [factors] at h)
exact Or.casesOn h₁ (fun h₂ => h₂.symm ▸ minFac_prime (by simp)) prime_of_mem_factors
#align nat.prime_of_mem_factors Nat.prime_of_mem_factors
theorem pos_of_mem_factors {n p : ℕ} (h : p ∈ factors n) : 0 < p :=
Prime.pos (prime_of_mem_factors h)
#align nat.pos_of_mem_factors Nat.pos_of_mem_factors
theorem prod_factors : ∀ {n}, n ≠ 0 → List.prod (factors n) = n
| 0 => by simp
| 1 => by simp
| k + 2 => fun _ =>
let m := minFac (k + 2)
have : (k + 2) / m < (k + 2) := factors_lemma
show (factors (k + 2)).prod = (k + 2) by
have h₁ : (k + 2) / m ≠ 0 := fun h => by
have : (k + 2) = 0 * m := (Nat.div_eq_iff_eq_mul_left (minFac_pos _) (minFac_dvd _)).1 h
rw [zero_mul] at this; exact (show k + 2 ≠ 0 by simp) this
rw [factors, List.prod_cons, prod_factors h₁, Nat.mul_div_cancel' (minFac_dvd _)]
#align nat.prod_factors Nat.prod_factors
theorem factors_prime {p : ℕ} (hp : Nat.Prime p) : p.factors = [p] := by
have : p = p - 2 + 2 := (tsub_eq_iff_eq_add_of_le hp.two_le).mp rfl
rw [this, Nat.factors]
simp only [Eq.symm this]
have : Nat.minFac p = p := (Nat.prime_def_minFac.mp hp).2
simp only [this, Nat.factors, Nat.div_self (Nat.Prime.pos hp)]
#align nat.factors_prime Nat.factors_prime
theorem factors_chain {n : ℕ} :
∀ {a}, (∀ p, Prime p → p ∣ n → a ≤ p) → List.Chain (· ≤ ·) a (factors n) := by
match n with
| 0 => simp
| 1 => simp
| k + 2 =>
intro a h
let m := minFac (k + 2)
have : (k + 2) / m < (k + 2) := factors_lemma
rw [factors]
refine List.Chain.cons ((le_minFac.2 h).resolve_left (by simp)) (factors_chain ?_)
exact fun p pp d => minFac_le_of_dvd pp.two_le (d.trans <| div_dvd_of_dvd <| minFac_dvd _)
#align nat.factors_chain Nat.factors_chain
theorem factors_chain_2 (n) : List.Chain (· ≤ ·) 2 (factors n) :=
factors_chain fun _ pp _ => pp.two_le
#align nat.factors_chain_2 Nat.factors_chain_2
theorem factors_chain' (n) : List.Chain' (· ≤ ·) (factors n) :=
@List.Chain'.tail _ _ (_ :: _) (factors_chain_2 _)
#align nat.factors_chain' Nat.factors_chain'
theorem factors_sorted (n : ℕ) : List.Sorted (· ≤ ·) (factors n) :=
List.chain'_iff_pairwise.1 (factors_chain' _)
#align nat.factors_sorted Nat.factors_sorted
/-- `factors` can be constructed inductively by extracting `minFac`, for sufficiently large `n`. -/
theorem factors_add_two (n : ℕ) :
factors (n + 2) = minFac (n + 2) :: factors ((n + 2) / minFac (n + 2)) := by rw [factors]
#align nat.factors_add_two Nat.factors_add_two
@[simp]
theorem factors_eq_nil (n : ℕ) : n.factors = [] ↔ n = 0 ∨ n = 1 := by
constructor <;> intro h
· rcases n with (_ | _ | n)
· exact Or.inl rfl
· exact Or.inr rfl
· rw [factors] at h
injection h
· rcases h with (rfl | rfl)
· exact factors_zero
· exact factors_one
#align nat.factors_eq_nil Nat.factors_eq_nil
open scoped List in
| Mathlib/Data/Nat/Factors.lean | 138 | 139 | theorem eq_of_perm_factors {a b : ℕ} (ha : a ≠ 0) (hb : b ≠ 0) (h : a.factors ~ b.factors) :
a = b := by | simpa [prod_factors ha, prod_factors hb] using List.Perm.prod_eq h
|
/-
Copyright (c) 2021 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import Mathlib.RingTheory.RingHomProperties
import Mathlib.RingTheory.IntegralClosure
#align_import ring_theory.ring_hom.integral from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0"
/-!
# The meta properties of integral ring homomorphisms.
-/
namespace RingHom
open scoped TensorProduct
open TensorProduct Algebra.TensorProduct
theorem isIntegral_stableUnderComposition : StableUnderComposition fun f => f.IsIntegral := by
introv R hf hg; exact hf.trans _ _ hg
#align ring_hom.is_integral_stable_under_composition RingHom.isIntegral_stableUnderComposition
theorem isIntegral_respectsIso : RespectsIso fun f => f.IsIntegral := by
apply isIntegral_stableUnderComposition.respectsIso
introv x
rw [← e.apply_symm_apply x]
apply RingHom.isIntegralElem_map
#align ring_hom.is_integral_respects_iso RingHom.isIntegral_respectsIso
| Mathlib/RingTheory/RingHom/Integral.lean | 35 | 41 | theorem isIntegral_stableUnderBaseChange : StableUnderBaseChange fun f => f.IsIntegral := by |
refine StableUnderBaseChange.mk _ isIntegral_respectsIso ?_
introv h x
refine TensorProduct.induction_on x ?_ ?_ ?_
· apply isIntegral_zero
· intro x y; exact IsIntegral.tmul x (h y)
· intro x y hx hy; exact IsIntegral.add hx hy
|
/-
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
-/
import Mathlib.Algebra.MonoidAlgebra.Support
import Mathlib.Algebra.Polynomial.Basic
import Mathlib.Algebra.Regular.Basic
import Mathlib.Data.Nat.Choose.Sum
#align_import data.polynomial.coeff from "leanprover-community/mathlib"@"2651125b48fc5c170ab1111afd0817c903b1fc6c"
/-!
# Theory of univariate polynomials
The theorems include formulas for computing coefficients, such as
`coeff_add`, `coeff_sum`, `coeff_mul`
-/
set_option linter.uppercaseLean3 false
noncomputable section
open Finsupp Finset AddMonoidAlgebra
open Polynomial
namespace Polynomial
universe u v
variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ}
variable [Semiring R] {p q r : R[X]}
section Coeff
@[simp]
theorem coeff_add (p q : R[X]) (n : ℕ) : coeff (p + q) n = coeff p n + coeff q n := by
rcases p with ⟨⟩
rcases q with ⟨⟩
simp_rw [← ofFinsupp_add, coeff]
exact Finsupp.add_apply _ _ _
#align polynomial.coeff_add Polynomial.coeff_add
set_option linter.deprecated false in
@[simp]
theorem coeff_bit0 (p : R[X]) (n : ℕ) : coeff (bit0 p) n = bit0 (coeff p n) := by simp [bit0]
#align polynomial.coeff_bit0 Polynomial.coeff_bit0
@[simp]
theorem coeff_smul [SMulZeroClass S R] (r : S) (p : R[X]) (n : ℕ) :
coeff (r • p) n = r • coeff p n := by
rcases p with ⟨⟩
simp_rw [← ofFinsupp_smul, coeff]
exact Finsupp.smul_apply _ _ _
#align polynomial.coeff_smul Polynomial.coeff_smul
theorem support_smul [SMulZeroClass S R] (r : S) (p : R[X]) :
support (r • p) ⊆ support p := by
intro i hi
simp? [mem_support_iff] at hi ⊢ says simp only [mem_support_iff, coeff_smul, ne_eq] at hi ⊢
contrapose! hi
simp [hi]
#align polynomial.support_smul Polynomial.support_smul
open scoped Pointwise in
| Mathlib/Algebra/Polynomial/Coeff.lean | 69 | 74 | theorem card_support_mul_le : (p * q).support.card ≤ p.support.card * q.support.card := by |
calc (p * q).support.card
_ = (p.toFinsupp * q.toFinsupp).support.card := by rw [← support_toFinsupp, toFinsupp_mul]
_ ≤ (p.toFinsupp.support + q.toFinsupp.support).card :=
Finset.card_le_card (AddMonoidAlgebra.support_mul p.toFinsupp q.toFinsupp)
_ ≤ p.support.card * q.support.card := Finset.card_image₂_le ..
|
/-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.MeasureTheory.Covering.VitaliFamily
import Mathlib.MeasureTheory.Measure.Regular
import Mathlib.MeasureTheory.Function.AEMeasurableOrder
import Mathlib.MeasureTheory.Integral.Lebesgue
import Mathlib.MeasureTheory.Integral.Average
import Mathlib.MeasureTheory.Decomposition.Lebesgue
#align_import measure_theory.covering.differentiation from "leanprover-community/mathlib"@"57ac39bd365c2f80589a700f9fbb664d3a1a30c2"
/-!
# Differentiation of measures
On a second countable metric space with a measure `μ`, consider a Vitali family (i.e., for each `x`
one has a family of sets shrinking to `x`, with a good behavior with respect to covering theorems).
Consider also another measure `ρ`. Then, for almost every `x`, the ratio `ρ a / μ a` converges when
`a` shrinks to `x` along the Vitali family, towards the Radon-Nikodym derivative of `ρ` with
respect to `μ`. This is the main theorem on differentiation of measures.
This theorem is proved in this file, under the name `VitaliFamily.ae_tendsto_rnDeriv`. Note that,
almost surely, `μ a` is eventually positive and finite (see
`VitaliFamily.ae_eventually_measure_pos` and `VitaliFamily.eventually_measure_lt_top`), so the
ratio really makes sense.
For concrete applications, one needs concrete instances of Vitali families, as provided for instance
by `Besicovitch.vitaliFamily` (for balls) or by `Vitali.vitaliFamily` (for doubling measures).
Specific applications to Lebesgue density points and the Lebesgue differentiation theorem are also
derived:
* `VitaliFamily.ae_tendsto_measure_inter_div` states that, for almost every point `x ∈ s`,
then `μ (s ∩ a) / μ a` tends to `1` as `a` shrinks to `x` along a Vitali family.
* `VitaliFamily.ae_tendsto_average_norm_sub` states that, for almost every point `x`, then the
average of `y ↦ ‖f y - f x‖` on `a` tends to `0` as `a` shrinks to `x` along a Vitali family.
## Sketch of proof
Let `v` be a Vitali family for `μ`. Assume for simplicity that `ρ` is absolutely continuous with
respect to `μ`, as the case of a singular measure is easier.
It is easy to see that a set `s` on which `liminf ρ a / μ a < q` satisfies `ρ s ≤ q * μ s`, by using
a disjoint subcovering provided by the definition of Vitali families. Similarly for the limsup.
It follows that a set on which `ρ a / μ a` oscillates has measure `0`, and therefore that
`ρ a / μ a` converges almost surely (`VitaliFamily.ae_tendsto_div`). Moreover, on a set where the
limit is close to a constant `c`, one gets `ρ s ∼ c μ s`, using again a covering lemma as above.
It follows that `ρ` is equal to `μ.withDensity (v.limRatio ρ x)`, where `v.limRatio ρ x` is the
limit of `ρ a / μ a` at `x` (which is well defined almost everywhere). By uniqueness of the
Radon-Nikodym derivative, one gets `v.limRatio ρ x = ρ.rnDeriv μ x` almost everywhere, completing
the proof.
There is a difficulty in this sketch: this argument works well when `v.limRatio ρ` is measurable,
but there is no guarantee that this is the case, especially if one doesn't make further assumptions
on the Vitali family. We use an indirect argument to show that `v.limRatio ρ` is always
almost everywhere measurable, again based on the disjoint subcovering argument
(see `VitaliFamily.exists_measurable_supersets_limRatio`), and then proceed as sketched above
but replacing `v.limRatio ρ` by a measurable version called `v.limRatioMeas ρ`.
## Counterexample
The standing assumption in this file is that spaces are second countable. Without this assumption,
measures may be zero locally but nonzero globally, which is not compatible with differentiation
theory (which deduces global information from local one). Here is an example displaying this
behavior.
Define a measure `μ` by `μ s = 0` if `s` is covered by countably many balls of radius `1`,
and `μ s = ∞` otherwise. This is indeed a countably additive measure, which is moreover
locally finite and doubling at small scales. It vanishes on every ball of radius `1`, so all the
quantities in differentiation theory (defined as ratios of measures as the radius tends to zero)
make no sense. However, the measure is not globally zero if the space is big enough.
## References
* [Herbert Federer, Geometric Measure Theory, Chapter 2.9][Federer1996]
-/
open MeasureTheory Metric Set Filter TopologicalSpace MeasureTheory.Measure
open scoped Filter ENNReal MeasureTheory NNReal Topology
variable {α : Type*} [MetricSpace α] {m0 : MeasurableSpace α} {μ : Measure α} (v : VitaliFamily μ)
{E : Type*} [NormedAddCommGroup E]
namespace VitaliFamily
/-- The limit along a Vitali family of `ρ a / μ a` where it makes sense, and garbage otherwise.
Do *not* use this definition: it is only a temporary device to show that this ratio tends almost
everywhere to the Radon-Nikodym derivative. -/
noncomputable def limRatio (ρ : Measure α) (x : α) : ℝ≥0∞ :=
limUnder (v.filterAt x) fun a => ρ a / μ a
#align vitali_family.lim_ratio VitaliFamily.limRatio
/-- For almost every point `x`, sufficiently small sets in a Vitali family around `x` have positive
measure. (This is a nontrivial result, following from the covering property of Vitali families). -/
| Mathlib/MeasureTheory/Covering/Differentiation.lean | 97 | 113 | theorem ae_eventually_measure_pos [SecondCountableTopology α] :
∀ᵐ x ∂μ, ∀ᶠ a in v.filterAt x, 0 < μ a := by |
set s := {x | ¬∀ᶠ a in v.filterAt x, 0 < μ a} with hs
simp (config := { zeta := false }) only [not_lt, not_eventually, nonpos_iff_eq_zero] at hs
change μ s = 0
let f : α → Set (Set α) := fun _ => {a | μ a = 0}
have h : v.FineSubfamilyOn f s := by
intro x hx ε εpos
rw [hs] at hx
simp only [frequently_filterAt_iff, exists_prop, gt_iff_lt, mem_setOf_eq] at hx
rcases hx ε εpos with ⟨a, a_sets, ax, μa⟩
exact ⟨a, ⟨a_sets, μa⟩, ax⟩
refine le_antisymm ?_ bot_le
calc
μ s ≤ ∑' x : h.index, μ (h.covering x) := h.measure_le_tsum
_ = ∑' x : h.index, 0 := by congr; ext1 x; exact h.covering_mem x.2
_ = 0 := by simp only [tsum_zero, add_zero]
|
/-
Copyright (c) 2021 Ivan Sadofschi Costa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ivan Sadofschi Costa
-/
import Mathlib.Data.Finsupp.Defs
#align_import data.finsupp.fin from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
/-!
# `cons` and `tail` for maps `Fin n →₀ M`
We interpret maps `Fin n →₀ M` as `n`-tuples of elements of `M`,
We define the following operations:
* `Finsupp.tail` : the tail of a map `Fin (n + 1) →₀ M`, i.e., its last `n` entries;
* `Finsupp.cons` : adding an element at the beginning of an `n`-tuple, to get an `n + 1`-tuple;
In this context, we prove some usual properties of `tail` and `cons`, analogous to those of
`Data.Fin.Tuple.Basic`.
-/
noncomputable section
namespace Finsupp
variable {n : ℕ} (i : Fin n) {M : Type*} [Zero M] (y : M) (t : Fin (n + 1) →₀ M) (s : Fin n →₀ M)
/-- `tail` for maps `Fin (n + 1) →₀ M`. See `Fin.tail` for more details. -/
def tail (s : Fin (n + 1) →₀ M) : Fin n →₀ M :=
Finsupp.equivFunOnFinite.symm (Fin.tail s)
#align finsupp.tail Finsupp.tail
/-- `cons` for maps `Fin n →₀ M`. See `Fin.cons` for more details. -/
def cons (y : M) (s : Fin n →₀ M) : Fin (n + 1) →₀ M :=
Finsupp.equivFunOnFinite.symm (Fin.cons y s : Fin (n + 1) → M)
#align finsupp.cons Finsupp.cons
theorem tail_apply : tail t i = t i.succ :=
rfl
#align finsupp.tail_apply Finsupp.tail_apply
@[simp]
theorem cons_zero : cons y s 0 = y :=
rfl
#align finsupp.cons_zero Finsupp.cons_zero
@[simp]
theorem cons_succ : cons y s i.succ = s i :=
-- Porting note: was Fin.cons_succ _ _ _
rfl
#align finsupp.cons_succ Finsupp.cons_succ
@[simp]
theorem tail_cons : tail (cons y s) = s :=
ext fun k => by simp only [tail_apply, cons_succ]
#align finsupp.tail_cons Finsupp.tail_cons
@[simp]
theorem cons_tail : cons (t 0) (tail t) = t := by
ext a
by_cases c_a : a = 0
· rw [c_a, cons_zero]
· rw [← Fin.succ_pred a c_a, cons_succ, ← tail_apply]
#align finsupp.cons_tail Finsupp.cons_tail
@[simp]
| Mathlib/Data/Finsupp/Fin.lean | 68 | 73 | theorem cons_zero_zero : cons 0 (0 : Fin n →₀ M) = 0 := by |
ext a
by_cases c : a = 0
· simp [c]
· rw [← Fin.succ_pred a c, cons_succ]
simp
|
/-
Copyright (c) 2024 Jeremy Tan. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Tan
-/
import Mathlib.Analysis.SpecialFunctions.Complex.LogBounds
/-!
# Complex arctangent
This file defines the complex arctangent `Complex.arctan` as
$$\arctan z = -\frac i2 \log \frac{1 + zi}{1 - zi}$$
and shows that it extends `Real.arctan` to the complex plane. Its Taylor series expansion
$$\arctan z = \frac{(-1)^n}{2n + 1} z^{2n + 1},\ |z|<1$$
is proved in `Complex.hasSum_arctan`.
-/
namespace Complex
open scoped Real
/-- The complex arctangent, defined via the complex logarithm. -/
noncomputable def arctan (z : ℂ) : ℂ := -I / 2 * log ((1 + z * I) / (1 - z * I))
theorem tan_arctan {z : ℂ} (h₁ : z ≠ I) (h₂ : z ≠ -I) : tan (arctan z) = z := by
unfold tan sin cos
rw [div_div_eq_mul_div, div_mul_cancel₀ _ two_ne_zero, ← div_mul_eq_mul_div,
-- multiply top and bottom by `exp (arctan z * I)`
← mul_div_mul_right _ _ (exp_ne_zero (arctan z * I)), sub_mul, add_mul,
← exp_add, neg_mul, add_left_neg, exp_zero, ← exp_add, ← two_mul]
have z₁ : 1 + z * I ≠ 0 := by
contrapose! h₁
rw [add_eq_zero_iff_neg_eq, ← div_eq_iff I_ne_zero, div_I, neg_one_mul, neg_neg] at h₁
exact h₁.symm
have z₂ : 1 - z * I ≠ 0 := by
contrapose! h₂
rw [sub_eq_zero, ← div_eq_iff I_ne_zero, div_I, one_mul] at h₂
exact h₂.symm
have key : exp (2 * (arctan z * I)) = (1 + z * I) / (1 - z * I) := by
rw [arctan, ← mul_rotate, ← mul_assoc,
show 2 * (I * (-I / 2)) = 1 by field_simp, one_mul, exp_log]
· exact div_ne_zero z₁ z₂
-- multiply top and bottom by `1 - z * I`
rw [key, ← mul_div_mul_right _ _ z₂, sub_mul, add_mul, div_mul_cancel₀ _ z₂, one_mul,
show _ / _ * I = -(I * I) * z by ring, I_mul_I, neg_neg, one_mul]
/-- `cos z` is nonzero when the bounds in `arctan_tan` are met (`z` lies in the vertical strip
`-π / 2 < z.re < π / 2` and `z ≠ π / 2`). -/
lemma cos_ne_zero_of_arctan_bounds {z : ℂ} (h₀ : z ≠ π / 2) (h₁ : -(π / 2) < z.re)
(h₂ : z.re ≤ π / 2) : cos z ≠ 0 := by
refine cos_ne_zero_iff.mpr (fun k ↦ ?_)
rw [ne_eq, ext_iff, not_and_or] at h₀ ⊢
norm_cast at h₀ ⊢
cases' h₀ with nr ni
· left; contrapose! nr
rw [nr, mul_div_assoc, neg_eq_neg_one_mul, mul_lt_mul_iff_of_pos_right (by positivity)] at h₁
rw [nr, ← one_mul (π / 2), mul_div_assoc, mul_le_mul_iff_of_pos_right (by positivity)] at h₂
norm_cast at h₁ h₂
change -1 < _ at h₁
rwa [show 2 * k + 1 = 1 by omega, Int.cast_one, one_mul] at nr
· exact Or.inr ni
| Mathlib/Analysis/SpecialFunctions/Complex/Arctan.lean | 64 | 77 | theorem arctan_tan {z : ℂ} (h₀ : z ≠ π / 2) (h₁ : -(π / 2) < z.re) (h₂ : z.re ≤ π / 2) :
arctan (tan z) = z := by |
have h := cos_ne_zero_of_arctan_bounds h₀ h₁ h₂
unfold arctan tan
-- multiply top and bottom by `cos z`
rw [← mul_div_mul_right (1 + _) _ h, add_mul, sub_mul, one_mul, ← mul_rotate, mul_div_cancel₀ _ h]
conv_lhs =>
enter [2, 1, 2]
rw [sub_eq_add_neg, ← neg_mul, ← sin_neg, ← cos_neg]
rw [← exp_mul_I, ← exp_mul_I, ← exp_sub, show z * I - -z * I = 2 * (I * z) by ring, log_exp,
show -I / 2 * (2 * (I * z)) = -(I * I) * z by ring, I_mul_I, neg_neg, one_mul]
all_goals set_option tactic.skipAssignedInstances false in norm_num
· rwa [← div_lt_iff' two_pos, neg_div]
· rwa [← le_div_iff' two_pos]
|
/-
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
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]
#align charmatrix_apply_nat_degree_le Matrix.charmatrix_apply_natDegree_le
variable (M)
theorem charpoly_sub_diagonal_degree_lt :
(M.charpoly - ∏ i : n, (X - C (M i i))).degree < ↑(Fintype.card n - 1) := by
rw [charpoly, det_apply', ← insert_erase (mem_univ (Equiv.refl n)),
sum_insert (not_mem_erase (Equiv.refl n) univ), add_comm]
simp only [charmatrix_apply_eq, one_mul, Equiv.Perm.sign_refl, id, Int.cast_one,
Units.val_one, add_sub_cancel_right, Equiv.coe_refl]
rw [← mem_degreeLT]
apply Submodule.sum_mem (degreeLT R (Fintype.card n - 1))
intro c hc; rw [← C_eq_intCast, C_mul']
apply Submodule.smul_mem (degreeLT R (Fintype.card n - 1)) ↑↑(Equiv.Perm.sign c)
rw [mem_degreeLT]
apply lt_of_le_of_lt degree_le_natDegree _
rw [Nat.cast_lt]
apply lt_of_le_of_lt _ (Equiv.Perm.fixed_point_card_lt_of_ne_one (ne_of_mem_erase hc))
apply le_trans (Polynomial.natDegree_prod_le univ fun i : n => charmatrix M (c i) i) _
rw [card_eq_sum_ones]; rw [sum_filter]; apply sum_le_sum
intros
apply charmatrix_apply_natDegree_le
#align matrix.charpoly_sub_diagonal_degree_lt Matrix.charpoly_sub_diagonal_degree_lt
| Mathlib/LinearAlgebra/Matrix/Charpoly/Coeff.lean | 81 | 86 | theorem charpoly_coeff_eq_prod_coeff_of_le {k : ℕ} (h : Fintype.card n - 1 ≤ k) :
M.charpoly.coeff k = (∏ i : n, (X - C (M i i))).coeff k := by |
apply eq_of_sub_eq_zero; rw [← coeff_sub]
apply Polynomial.coeff_eq_zero_of_degree_lt
apply lt_of_lt_of_le (charpoly_sub_diagonal_degree_lt M) ?_
rw [Nat.cast_le]; apply h
|
/-
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.Finset.Sum
import Mathlib.Data.Sum.Order
import Mathlib.Order.Interval.Finset.Defs
#align_import data.sum.interval from "leanprover-community/mathlib"@"48a058d7e39a80ed56858505719a0b2197900999"
/-!
# Finite intervals in a disjoint union
This file provides the `LocallyFiniteOrder` instance for the disjoint sum and linear sum of two
orders and calculates the cardinality of their finite intervals.
-/
open Function Sum
namespace Finset
variable {α₁ α₂ β₁ β₂ γ₁ γ₂ : Type*}
section SumLift₂
variable (f f₁ g₁ : α₁ → β₁ → Finset γ₁) (g f₂ g₂ : α₂ → β₂ → Finset γ₂)
/-- Lifts maps `α₁ → β₁ → Finset γ₁` and `α₂ → β₂ → Finset γ₂` to a map
`α₁ ⊕ α₂ → β₁ ⊕ β₂ → Finset (γ₁ ⊕ γ₂)`. Could be generalized to `Alternative` functors if we can
make sure to keep computability and universe polymorphism. -/
@[simp]
def sumLift₂ : ∀ (_ : Sum α₁ α₂) (_ : Sum β₁ β₂), Finset (Sum γ₁ γ₂)
| inl a, inl b => (f a b).map Embedding.inl
| inl _, inr _ => ∅
| inr _, inl _ => ∅
| inr a, inr b => (g a b).map Embedding.inr
#align finset.sum_lift₂ Finset.sumLift₂
variable {f f₁ g₁ g f₂ g₂} {a : Sum α₁ α₂} {b : Sum β₁ β₂} {c : Sum γ₁ γ₂}
theorem mem_sumLift₂ :
c ∈ sumLift₂ f g a b ↔
(∃ a₁ b₁ c₁, a = inl a₁ ∧ b = inl b₁ ∧ c = inl c₁ ∧ c₁ ∈ f a₁ b₁) ∨
∃ a₂ b₂ c₂, a = inr a₂ ∧ b = inr b₂ ∧ c = inr c₂ ∧ c₂ ∈ g a₂ b₂ := by
constructor
· cases' a with a a <;> cases' b with b b
· rw [sumLift₂, mem_map]
rintro ⟨c, hc, rfl⟩
exact Or.inl ⟨a, b, c, rfl, rfl, rfl, hc⟩
· refine fun h ↦ (not_mem_empty _ h).elim
· refine fun h ↦ (not_mem_empty _ h).elim
· rw [sumLift₂, mem_map]
rintro ⟨c, hc, rfl⟩
exact Or.inr ⟨a, b, c, rfl, rfl, rfl, hc⟩
· rintro (⟨a, b, c, rfl, rfl, rfl, h⟩ | ⟨a, b, c, rfl, rfl, rfl, h⟩) <;> exact mem_map_of_mem _ h
#align finset.mem_sum_lift₂ Finset.mem_sumLift₂
theorem inl_mem_sumLift₂ {c₁ : γ₁} :
inl c₁ ∈ sumLift₂ f g a b ↔ ∃ a₁ b₁, a = inl a₁ ∧ b = inl b₁ ∧ c₁ ∈ f a₁ b₁ := by
rw [mem_sumLift₂, or_iff_left]
· simp only [inl.injEq, exists_and_left, exists_eq_left']
rintro ⟨_, _, c₂, _, _, h, _⟩
exact inl_ne_inr h
#align finset.inl_mem_sum_lift₂ Finset.inl_mem_sumLift₂
theorem inr_mem_sumLift₂ {c₂ : γ₂} :
inr c₂ ∈ sumLift₂ f g a b ↔ ∃ a₂ b₂, a = inr a₂ ∧ b = inr b₂ ∧ c₂ ∈ g a₂ b₂ := by
rw [mem_sumLift₂, or_iff_right]
· simp only [inr.injEq, exists_and_left, exists_eq_left']
rintro ⟨_, _, c₂, _, _, h, _⟩
exact inr_ne_inl h
#align finset.inr_mem_sum_lift₂ Finset.inr_mem_sumLift₂
theorem sumLift₂_eq_empty :
sumLift₂ f g a b = ∅ ↔
(∀ a₁ b₁, a = inl a₁ → b = inl b₁ → f a₁ b₁ = ∅) ∧
∀ a₂ b₂, a = inr a₂ → b = inr b₂ → g a₂ b₂ = ∅ := by
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· constructor <;>
· rintro a b rfl rfl
exact map_eq_empty.1 h
cases a <;> cases b
· exact map_eq_empty.2 (h.1 _ _ rfl rfl)
· rfl
· rfl
· exact map_eq_empty.2 (h.2 _ _ rfl rfl)
#align finset.sum_lift₂_eq_empty Finset.sumLift₂_eq_empty
| Mathlib/Data/Sum/Interval.lean | 91 | 95 | theorem sumLift₂_nonempty :
(sumLift₂ f g a b).Nonempty ↔
(∃ a₁ b₁, a = inl a₁ ∧ b = inl b₁ ∧ (f a₁ b₁).Nonempty) ∨
∃ a₂ b₂, a = inr a₂ ∧ b = inr b₂ ∧ (g a₂ b₂).Nonempty := by |
simp only [nonempty_iff_ne_empty, Ne, sumLift₂_eq_empty, not_and_or, not_forall, exists_prop]
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Kenny Lau, Scott Morrison
-/
import Mathlib.Data.List.Chain
import Mathlib.Data.List.Enum
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Pairwise
import Mathlib.Data.List.Zip
#align_import data.list.range from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213"
/-!
# Ranges of naturals as lists
This file shows basic results about `List.iota`, `List.range`, `List.range'`
and defines `List.finRange`.
`finRange n` is the list of elements of `Fin n`.
`iota n = [n, n - 1, ..., 1]` and `range n = [0, ..., n - 1]` are basic list constructions used for
tactics. `range' a b = [a, ..., a + b - 1]` is there to help prove properties about them.
Actual maths should use `List.Ico` instead.
-/
set_option autoImplicit true
universe u
open Nat
namespace List
variable {α : Type u}
@[simp] theorem range'_one {step} : range' s 1 step = [s] := rfl
#align list.length_range' List.length_range'
#align list.range'_eq_nil List.range'_eq_nil
#align list.mem_range' List.mem_range'_1
#align list.map_add_range' List.map_add_range'
#align list.map_sub_range' List.map_sub_range'
#align list.chain_succ_range' List.chain_succ_range'
#align list.chain_lt_range' List.chain_lt_range'
theorem pairwise_lt_range' : ∀ s n (step := 1) (_ : 0 < step := by simp),
Pairwise (· < ·) (range' s n step)
| _, 0, _, _ => Pairwise.nil
| s, n + 1, _, h => chain_iff_pairwise.1 (chain_lt_range' s n h)
#align list.pairwise_lt_range' List.pairwise_lt_range'
theorem nodup_range' (s n : ℕ) (step := 1) (h : 0 < step := by simp) : Nodup (range' s n step) :=
(pairwise_lt_range' s n step h).imp _root_.ne_of_lt
#align list.nodup_range' List.nodup_range'
#align list.range'_append List.range'_append
#align list.range'_sublist_right List.range'_sublist_right
#align list.range'_subset_right List.range'_subset_right
#align list.nth_range' List.get?_range'
set_option linter.deprecated false in
@[simp]
theorem nthLe_range' {n m step} (i) (H : i < (range' n m step).length) :
nthLe (range' n m step) i H = n + step * i := get_range' i H
set_option linter.deprecated false in
theorem nthLe_range'_1 {n m} (i) (H : i < (range' n m).length) :
nthLe (range' n m) i H = n + i := by simp
#align list.nth_le_range' List.nthLe_range'_1
#align list.range'_concat List.range'_concat
#align list.range_core List.range.loop
#align list.range_core_range' List.range_loop_range'
#align list.range_eq_range' List.range_eq_range'
#align list.range_succ_eq_map List.range_succ_eq_map
#align list.range'_eq_map_range List.range'_eq_map_range
#align list.length_range List.length_range
#align list.range_eq_nil List.range_eq_nil
theorem pairwise_lt_range (n : ℕ) : Pairwise (· < ·) (range n) := by
simp (config := {decide := true}) only [range_eq_range', pairwise_lt_range']
#align list.pairwise_lt_range List.pairwise_lt_range
theorem pairwise_le_range (n : ℕ) : Pairwise (· ≤ ·) (range n) :=
Pairwise.imp (@le_of_lt ℕ _) (pairwise_lt_range _)
#align list.pairwise_le_range List.pairwise_le_range
theorem take_range (m n : ℕ) : take m (range n) = range (min m n) := by
apply List.ext_get
· simp
· simp (config := { contextual := true }) [← get_take, Nat.lt_min]
theorem nodup_range (n : ℕ) : Nodup (range n) := by
simp (config := {decide := true}) only [range_eq_range', nodup_range']
#align list.nodup_range List.nodup_range
#align list.range_sublist List.range_sublist
#align list.range_subset List.range_subset
#align list.mem_range List.mem_range
#align list.not_mem_range_self List.not_mem_range_self
#align list.self_mem_range_succ List.self_mem_range_succ
#align list.nth_range List.get?_range
#align list.range_succ List.range_succ
#align list.range_zero List.range_zero
| Mathlib/Data/List/Range.lean | 104 | 112 | theorem chain'_range_succ (r : ℕ → ℕ → Prop) (n : ℕ) :
Chain' r (range n.succ) ↔ ∀ m < n, r m m.succ := by |
rw [range_succ]
induction' n with n hn
· simp
· rw [range_succ]
simp only [append_assoc, singleton_append, chain'_append_cons_cons, chain'_singleton,
and_true_iff]
rw [hn, forall_lt_succ]
|
/-
Copyright (c) 2021 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import Mathlib.LinearAlgebra.Dimension.Finrank
import Mathlib.LinearAlgebra.InvariantBasisNumber
#align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5"
/-!
# Lemmas about rank and finrank in rings satisfying strong rank condition.
## Main statements
For modules over rings satisfying the rank condition
* `Basis.le_span`:
the cardinality of a basis is bounded by the cardinality of any spanning set
For modules over rings satisfying the strong rank condition
* `linearIndependent_le_span`:
For any linearly independent family `v : ι → M`
and any finite spanning set `w : Set M`,
the cardinality of `ι` is bounded by the cardinality of `w`.
* `linearIndependent_le_basis`:
If `b` is a basis for a module `M`,
and `s` is a linearly independent set,
then the cardinality of `s` is bounded by the cardinality of `b`.
For modules over rings with invariant basis number
(including all commutative rings and all noetherian rings)
* `mk_eq_mk_of_basis`: the dimension theorem, any two bases of the same vector space have the same
cardinality.
-/
noncomputable section
universe u v w w'
variable {R : Type u} {M : Type v} [Ring R] [AddCommGroup M] [Module R M]
variable {ι : Type w} {ι' : Type w'}
open Cardinal Basis Submodule Function Set
attribute [local instance] nontrivial_of_invariantBasisNumber
section InvariantBasisNumber
variable [InvariantBasisNumber R]
/-- The dimension theorem: if `v` and `v'` are two bases, their index types
have the same cardinalities. -/
| Mathlib/LinearAlgebra/Dimension/StrongRankCondition.lean | 58 | 83 | theorem mk_eq_mk_of_basis (v : Basis ι R M) (v' : Basis ι' R M) :
Cardinal.lift.{w'} #ι = Cardinal.lift.{w} #ι' := by |
classical
haveI := nontrivial_of_invariantBasisNumber R
cases fintypeOrInfinite ι
· -- `v` is a finite basis, so by `basis_finite_of_finite_spans` so is `v'`.
-- haveI : Finite (range v) := Set.finite_range v
haveI := basis_finite_of_finite_spans _ (Set.finite_range v) v.span_eq v'
cases nonempty_fintype ι'
-- We clean up a little:
rw [Cardinal.mk_fintype, Cardinal.mk_fintype]
simp only [Cardinal.lift_natCast, Cardinal.natCast_inj]
-- Now we can use invariant basis number to show they have the same cardinality.
apply card_eq_of_linearEquiv R
exact
(Finsupp.linearEquivFunOnFinite R R ι).symm.trans v.repr.symm ≪≫ₗ v'.repr ≪≫ₗ
Finsupp.linearEquivFunOnFinite R R ι'
· -- `v` is an infinite basis,
-- so by `infinite_basis_le_maximal_linearIndependent`, `v'` is at least as big,
-- and then applying `infinite_basis_le_maximal_linearIndependent` again
-- we see they have the same cardinality.
have w₁ := infinite_basis_le_maximal_linearIndependent' v _ v'.linearIndependent v'.maximal
rcases Cardinal.lift_mk_le'.mp w₁ with ⟨f⟩
haveI : Infinite ι' := Infinite.of_injective f f.2
have w₂ := infinite_basis_le_maximal_linearIndependent' v' _ v.linearIndependent v.maximal
exact le_antisymm w₁ w₂
|
/-
Copyright (c) 2018 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mitchell Rowett, Scott Morrison, Johan Commelin, Mario Carneiro,
Michael Howes
-/
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.Deprecated.Submonoid
#align_import deprecated.subgroup from "leanprover-community/mathlib"@"f93c11933efbc3c2f0299e47b8ff83e9b539cbf6"
/-!
# Unbundled subgroups (deprecated)
This file is deprecated, and is no longer imported by anything in mathlib other than other
deprecated files, and test files. You should not need to import it.
This file defines unbundled multiplicative and additive subgroups. Instead of using this file,
please use `Subgroup G` and `AddSubgroup A`, defined in `Mathlib.Algebra.Group.Subgroup.Basic`.
## Main definitions
`IsAddSubgroup (S : Set A)` : the predicate that `S` is the underlying subset of an additive
subgroup of `A`. The bundled variant `AddSubgroup A` should be used in preference to this.
`IsSubgroup (S : Set G)` : the predicate that `S` is the underlying subset of a subgroup
of `G`. The bundled variant `Subgroup G` should be used in preference to this.
## Tags
subgroup, subgroups, IsSubgroup
-/
open Set Function
variable {G : Type*} {H : Type*} {A : Type*} {a a₁ a₂ b c : G}
section Group
variable [Group G] [AddGroup A]
/-- `s` is an additive subgroup: a set containing 0 and closed under addition and negation. -/
structure IsAddSubgroup (s : Set A) extends IsAddSubmonoid s : Prop where
/-- The proposition that `s` is closed under negation. -/
neg_mem {a} : a ∈ s → -a ∈ s
#align is_add_subgroup IsAddSubgroup
/-- `s` is a subgroup: a set containing 1 and closed under multiplication and inverse. -/
@[to_additive]
structure IsSubgroup (s : Set G) extends IsSubmonoid s : Prop where
/-- The proposition that `s` is closed under inverse. -/
inv_mem {a} : a ∈ s → a⁻¹ ∈ s
#align is_subgroup IsSubgroup
@[to_additive]
| Mathlib/Deprecated/Subgroup.lean | 57 | 58 | theorem IsSubgroup.div_mem {s : Set G} (hs : IsSubgroup s) {x y : G} (hx : x ∈ s) (hy : y ∈ s) :
x / y ∈ s := by | simpa only [div_eq_mul_inv] using hs.mul_mem hx (hs.inv_mem hy)
|
/-
Copyright (c) 2021 Alex J. Best. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alex J. Best, Yaël Dillies
-/
import Mathlib.Algebra.Bounds
import Mathlib.Algebra.Order.Field.Basic -- Porting note: `LinearOrderedField`, etc
import Mathlib.Data.Set.Pointwise.SMul
#align_import algebra.order.pointwise from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
/-!
# Pointwise operations on ordered algebraic objects
This file contains lemmas about the effect of pointwise operations on sets with an order structure.
## TODO
`sSup (s • t) = sSup s • sSup t` and `sInf (s • t) = sInf s • sInf t` hold as well but
`CovariantClass` is currently not polymorphic enough to state it.
-/
open Function Set
open Pointwise
variable {α : Type*}
-- Porting note: Swapped the place of `CompleteLattice` and `ConditionallyCompleteLattice`
-- due to simpNF problem between `sSup_xx` `csSup_xx`.
section CompleteLattice
variable [CompleteLattice α]
section One
variable [One α]
@[to_additive (attr := simp)]
theorem sSup_one : sSup (1 : Set α) = 1 :=
sSup_singleton
#align Sup_zero sSup_zero
#align Sup_one sSup_one
@[to_additive (attr := simp)]
theorem sInf_one : sInf (1 : Set α) = 1 :=
sInf_singleton
#align Inf_zero sInf_zero
#align Inf_one sInf_one
end One
section Group
variable [Group α] [CovariantClass α α (· * ·) (· ≤ ·)] [CovariantClass α α (swap (· * ·)) (· ≤ ·)]
(s t : Set α)
@[to_additive]
theorem sSup_inv (s : Set α) : sSup s⁻¹ = (sInf s)⁻¹ := by
rw [← image_inv, sSup_image]
exact ((OrderIso.inv α).map_sInf _).symm
#align Sup_inv sSup_inv
#align Sup_neg sSup_neg
@[to_additive]
theorem sInf_inv (s : Set α) : sInf s⁻¹ = (sSup s)⁻¹ := by
rw [← image_inv, sInf_image]
exact ((OrderIso.inv α).map_sSup _).symm
#align Inf_inv sInf_inv
#align Inf_neg sInf_neg
@[to_additive]
theorem sSup_mul : sSup (s * t) = sSup s * sSup t :=
(sSup_image2_eq_sSup_sSup fun _ => (OrderIso.mulRight _).to_galoisConnection) fun _ =>
(OrderIso.mulLeft _).to_galoisConnection
#align Sup_mul sSup_mul
#align Sup_add sSup_add
@[to_additive]
theorem sInf_mul : sInf (s * t) = sInf s * sInf t :=
(sInf_image2_eq_sInf_sInf fun _ => (OrderIso.mulRight _).symm.to_galoisConnection) fun _ =>
(OrderIso.mulLeft _).symm.to_galoisConnection
#align Inf_mul sInf_mul
#align Inf_add sInf_add
@[to_additive]
| Mathlib/Algebra/Order/Pointwise.lean | 89 | 89 | theorem sSup_div : sSup (s / t) = sSup s / sInf t := by | simp_rw [div_eq_mul_inv, sSup_mul, sSup_inv]
|
/-
Copyright (c) 2022 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky
-/
import Mathlib.Data.List.Infix
#align_import data.list.rdrop from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2"
/-!
# Dropping or taking from lists on the right
Taking or removing element from the tail end of a list
## Main definitions
- `rdrop n`: drop `n : ℕ` elements from the tail
- `rtake n`: take `n : ℕ` elements from the tail
- `rdropWhile p`: remove all the elements from the tail of a list until it finds the first element
for which `p : α → Bool` returns false. This element and everything before is returned.
- `rtakeWhile p`: Returns the longest terminal segment of a list for which `p : α → Bool` returns
true.
## Implementation detail
The two predicate-based methods operate by performing the regular "from-left" operation on
`List.reverse`, followed by another `List.reverse`, so they are not the most performant.
The other two rely on `List.length l` so they still traverse the list twice. One could construct
another function that takes a `L : ℕ` and use `L - n`. Under a proof condition that
`L = l.length`, the function would do the right thing.
-/
-- Make sure we don't import algebra
assert_not_exists Monoid
variable {α : Type*} (p : α → Bool) (l : List α) (n : ℕ)
namespace List
/-- Drop `n` elements from the tail end of a list. -/
def rdrop : List α :=
l.take (l.length - n)
#align list.rdrop List.rdrop
@[simp]
| Mathlib/Data/List/DropRight.lean | 47 | 47 | theorem rdrop_nil : rdrop ([] : List α) n = [] := by | simp [rdrop]
|
/-
Copyright (c) 2024 Jana Göken. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Artur Szafarczyk, Suraj Krishna M S, Jean-Baptiste Stiegler, Isabelle Dubois,
Tomáš Jakl, Lorenzo Zanichelli, Alina Yan, Emilie Uthaiwat, Jana Göken,
Filippo A. E. Nuccio
-/
import Mathlib.Topology.Metrizable.Basic
import Mathlib.Topology.Algebra.GroupWithZero
import Mathlib.Topology.Instances.Real
/-!
# Ternary Cantor Set
This file defines the Cantor ternary set and proves a few properties.
## Main Definitions
* `preCantorSet n`: The order `n` pre-Cantor set, defined inductively as the union of the images
under the functions `(· / 3)` and `((2 + ·) / 3)`, with `preCantorSet 0 := Set.Icc 0 1`, i.e.
`preCantorSet 0` is the unit interval [0,1].
* `cantorSet`: The ternary Cantor set, defined as the intersection of all pre-Cantor sets.
-/
/-- The order `n` pre-Cantor set, defined starting from `[0, 1]` and successively removing the
middle third of each interval. Formally, the order `n + 1` pre-Cantor set is the
union of the images under the functions `(· / 3)` and `((2 + ·) / 3)` of `preCantorSet n`.
-/
def preCantorSet : ℕ → Set ℝ
| 0 => Set.Icc 0 1
| n + 1 => (· / 3) '' preCantorSet n ∪ (fun x ↦ (2 + x) / 3) '' preCantorSet n
@[simp] lemma preCantorSet_zero : preCantorSet 0 = Set.Icc 0 1 := rfl
@[simp] lemma preCantorSet_succ (n : ℕ) :
preCantorSet (n + 1) = (· / 3) '' preCantorSet n ∪ (fun x ↦ (2 + x) / 3) '' preCantorSet n :=
rfl
/-- The Cantor set is the subset of the unit interval obtained as the intersection of all
pre-Cantor sets. This means that the Cantor set is obtained by iteratively removing the
open middle third of each subinterval, starting from the unit interval `[0, 1]`.
-/
def cantorSet : Set ℝ := ⋂ n, preCantorSet n
/-!
## Simple Properties
-/
lemma quarters_mem_preCantorSet (n : ℕ) : 1/4 ∈ preCantorSet n ∧ 3/4 ∈ preCantorSet n := by
induction n with
| zero =>
simp only [preCantorSet_zero, inv_nonneg]
refine ⟨⟨ ?_, ?_⟩, ?_, ?_⟩ <;> norm_num
| succ n ih =>
apply And.intro
· -- goal: 1 / 4 ∈ preCantorSet (n + 1)
-- follows by the inductive hyphothesis, since 3 / 4 ∈ preCantorSet n
exact Or.inl ⟨3 / 4, ih.2, by norm_num⟩
· -- goal: 3 / 4 ∈ preCantorSet (n + 1)
-- follows by the inductive hyphothesis, since 1 / 4 ∈ preCantorSet n
exact Or.inr ⟨1 / 4, ih.1, by norm_num⟩
lemma quarter_mem_preCantorSet (n : ℕ) : 1/4 ∈ preCantorSet n := (quarters_mem_preCantorSet n).1
theorem quarter_mem_cantorSet : 1/4 ∈ cantorSet :=
Set.mem_iInter.mpr quarter_mem_preCantorSet
lemma zero_mem_preCantorSet (n : ℕ) : 0 ∈ preCantorSet n := by
induction n with
| zero =>
simp [preCantorSet]
| succ n ih =>
exact Or.inl ⟨0, ih, by simp only [zero_div]⟩
| Mathlib/Topology/Instances/CantorSet.lean | 75 | 75 | theorem zero_mem_cantorSet : 0 ∈ cantorSet := by | simp [cantorSet, zero_mem_preCantorSet]
|
/-
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.Finsupp.Defs
#align_import data.finsupp.indicator from "leanprover-community/mathlib"@"842328d9df7e96fd90fc424e115679c15fb23a71"
/-!
# Building finitely supported functions off finsets
This file defines `Finsupp.indicator` to help create finsupps from finsets.
## Main declarations
* `Finsupp.indicator`: Turns a map from a `Finset` into a `Finsupp` from the entire type.
-/
noncomputable section
open Finset Function
variable {ι α : Type*}
namespace Finsupp
variable [Zero α] {s : Finset ι} (f : ∀ i ∈ s, α) {i : ι}
/-- Create an element of `ι →₀ α` from a finset `s` and a function `f` defined on this finset. -/
def indicator (s : Finset ι) (f : ∀ i ∈ s, α) : ι →₀ α where
toFun i :=
haveI := Classical.decEq ι
if H : i ∈ s then f i H else 0
support :=
haveI := Classical.decEq α
(s.attach.filter fun i : s => f i.1 i.2 ≠ 0).map (Embedding.subtype _)
mem_support_toFun i := by
classical simp
#align finsupp.indicator Finsupp.indicator
theorem indicator_of_mem (hi : i ∈ s) (f : ∀ i ∈ s, α) : indicator s f i = f i hi :=
@dif_pos _ (id _) hi _ _ _
#align finsupp.indicator_of_mem Finsupp.indicator_of_mem
theorem indicator_of_not_mem (hi : i ∉ s) (f : ∀ i ∈ s, α) : indicator s f i = 0 :=
@dif_neg _ (id _) hi _ _ _
#align finsupp.indicator_of_not_mem Finsupp.indicator_of_not_mem
variable (s i)
@[simp]
theorem indicator_apply [DecidableEq ι] : indicator s f i = if hi : i ∈ s then f i hi else 0 := by
simp only [indicator, ne_eq, coe_mk]
congr
#align finsupp.indicator_apply Finsupp.indicator_apply
theorem indicator_injective : Injective fun f : ∀ i ∈ s, α => indicator s f := by
intro a b h
ext i hi
rw [← indicator_of_mem hi a, ← indicator_of_mem hi b]
exact DFunLike.congr_fun h i
#align finsupp.indicator_injective Finsupp.indicator_injective
| Mathlib/Data/Finsupp/Indicator.lean | 66 | 70 | theorem support_indicator_subset : ((indicator s f).support : Set ι) ⊆ s := by |
intro i hi
rw [mem_coe, mem_support_iff] at hi
by_contra h
exact hi (indicator_of_not_mem h _)
|
/-
Copyright (c) 2019 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Data.Rat.Denumerable
import Mathlib.Data.Set.Pointwise.Interval
import Mathlib.SetTheory.Cardinal.Continuum
#align_import data.real.cardinality from "leanprover-community/mathlib"@"7e7aaccf9b0182576cabdde36cf1b5ad3585b70d"
/-!
# The cardinality of the reals
This file shows that the real numbers have cardinality continuum, i.e. `#ℝ = 𝔠`.
We show that `#ℝ ≤ 𝔠` by noting that every real number is determined by a Cauchy-sequence of the
form `ℕ → ℚ`, which has cardinality `𝔠`. To show that `#ℝ ≥ 𝔠` we define an injection from
`{0, 1} ^ ℕ` to `ℝ` with `f ↦ Σ n, f n * (1 / 3) ^ n`.
We conclude that all intervals with distinct endpoints have cardinality continuum.
## Main definitions
* `Cardinal.cantorFunction` is the function that sends `f` in `{0, 1} ^ ℕ` to `ℝ` by
`f ↦ Σ' n, f n * (1 / 3) ^ n`
## Main statements
* `Cardinal.mk_real : #ℝ = 𝔠`: the reals have cardinality continuum.
* `Cardinal.not_countable_real`: the universal set of real numbers is not countable.
We can use this same proof to show that all the other sets in this file are not countable.
* 8 lemmas of the form `mk_Ixy_real` for `x,y ∈ {i,o,c}` state that intervals on the reals
have cardinality continuum.
## Notation
* `𝔠` : notation for `Cardinal.Continuum` in locale `Cardinal`, defined in `SetTheory.Continuum`.
## Tags
continuum, cardinality, reals, cardinality of the reals
-/
open Nat Set
open Cardinal
noncomputable section
namespace Cardinal
variable {c : ℝ} {f g : ℕ → Bool} {n : ℕ}
/-- The body of the sum in `cantorFunction`.
`cantorFunctionAux c f n = c ^ n` if `f n = true`;
`cantorFunctionAux c f n = 0` if `f n = false`. -/
def cantorFunctionAux (c : ℝ) (f : ℕ → Bool) (n : ℕ) : ℝ :=
cond (f n) (c ^ n) 0
#align cardinal.cantor_function_aux Cardinal.cantorFunctionAux
@[simp]
theorem cantorFunctionAux_true (h : f n = true) : cantorFunctionAux c f n = c ^ n := by
simp [cantorFunctionAux, h]
#align cardinal.cantor_function_aux_tt Cardinal.cantorFunctionAux_true
@[simp]
theorem cantorFunctionAux_false (h : f n = false) : cantorFunctionAux c f n = 0 := by
simp [cantorFunctionAux, h]
#align cardinal.cantor_function_aux_ff Cardinal.cantorFunctionAux_false
theorem cantorFunctionAux_nonneg (h : 0 ≤ c) : 0 ≤ cantorFunctionAux c f n := by
cases h' : f n <;> simp [h']
apply pow_nonneg h
#align cardinal.cantor_function_aux_nonneg Cardinal.cantorFunctionAux_nonneg
theorem cantorFunctionAux_eq (h : f n = g n) :
cantorFunctionAux c f n = cantorFunctionAux c g n := by simp [cantorFunctionAux, h]
#align cardinal.cantor_function_aux_eq Cardinal.cantorFunctionAux_eq
theorem cantorFunctionAux_zero (f : ℕ → Bool) : cantorFunctionAux c f 0 = cond (f 0) 1 0 := by
cases h : f 0 <;> simp [h]
#align cardinal.cantor_function_aux_zero Cardinal.cantorFunctionAux_zero
| Mathlib/Data/Real/Cardinality.lean | 86 | 90 | theorem cantorFunctionAux_succ (f : ℕ → Bool) :
(fun n => cantorFunctionAux c f (n + 1)) = fun n =>
c * cantorFunctionAux c (fun n => f (n + 1)) n := by |
ext n
cases h : f (n + 1) <;> simp [h, _root_.pow_succ']
|
/-
Copyright (c) 2019 Minchao Wu. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Minchao Wu, Chris Hughes, Mantas Bakšys
-/
import Mathlib.Data.List.Basic
import Mathlib.Order.MinMax
import Mathlib.Order.WithBot
#align_import data.list.min_max from "leanprover-community/mathlib"@"6d0adfa76594f304b4650d098273d4366edeb61b"
/-!
# Minimum and maximum of lists
## Main definitions
The main definitions are `argmax`, `argmin`, `minimum` and `maximum` for lists.
`argmax f l` returns `some a`, where `a` of `l` that maximises `f a`. If there are `a b` such that
`f a = f b`, it returns whichever of `a` or `b` comes first in the list.
`argmax f [] = none`
`minimum l` returns a `WithTop α`, the smallest element of `l` for nonempty lists, and `⊤` for
`[]`
-/
namespace List
variable {α β : Type*}
section ArgAux
variable (r : α → α → Prop) [DecidableRel r] {l : List α} {o : Option α} {a m : α}
/-- Auxiliary definition for `argmax` and `argmin`. -/
def argAux (a : Option α) (b : α) : Option α :=
Option.casesOn a (some b) fun c => if r b c then some b else some c
#align list.arg_aux List.argAux
@[simp]
theorem foldl_argAux_eq_none : l.foldl (argAux r) o = none ↔ l = [] ∧ o = none :=
List.reverseRecOn l (by simp) fun tl hd => by
simp only [foldl_append, foldl_cons, argAux, foldl_nil, append_eq_nil, and_false, false_and,
iff_false]; cases foldl (argAux r) o tl <;> simp; try split_ifs <;> simp
#align list.foldl_arg_aux_eq_none List.foldl_argAux_eq_none
private theorem foldl_argAux_mem (l) : ∀ a m : α, m ∈ foldl (argAux r) (some a) l → m ∈ a :: l :=
List.reverseRecOn l (by simp [eq_comm])
(by
intro tl hd ih a m
simp only [foldl_append, foldl_cons, foldl_nil, argAux]
cases hf : foldl (argAux r) (some a) tl
· simp (config := { contextual := true })
· dsimp only
split_ifs
· simp (config := { contextual := true })
· -- `finish [ih _ _ hf]` closes this goal
simp only [List.mem_cons] at ih
rcases ih _ _ hf with rfl | H
· simp (config := { contextual := true }) only [Option.mem_def, Option.some.injEq,
find?, eq_comm, mem_cons, mem_append, mem_singleton, true_or, implies_true]
· simp (config := { contextual := true }) [@eq_comm _ _ m, H])
@[simp]
theorem argAux_self (hr₀ : Irreflexive r) (a : α) : argAux r (some a) a = a :=
if_neg <| hr₀ _
#align list.arg_aux_self List.argAux_self
| Mathlib/Data/List/MinMax.lean | 69 | 86 | theorem not_of_mem_foldl_argAux (hr₀ : Irreflexive r) (hr₁ : Transitive r) :
∀ {a m : α} {o : Option α}, a ∈ l → m ∈ foldl (argAux r) o l → ¬r a m := by |
induction' l using List.reverseRecOn with tl a ih
· simp
intro b m o hb ho
rw [foldl_append, foldl_cons, foldl_nil, argAux] at ho
cases' hf : foldl (argAux r) o tl with c
· rw [hf] at ho
rw [foldl_argAux_eq_none] at hf
simp_all [hf.1, hf.2, hr₀ _]
rw [hf, Option.mem_def] at ho
dsimp only at ho
split_ifs at ho with hac <;> cases' mem_append.1 hb with h h <;>
injection ho with ho <;> subst ho
· exact fun hba => ih h hf (hr₁ hba hac)
· simp_all [hr₀ _]
· exact ih h hf
· simp_all
|
/-
Copyright (c) 2021 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import Mathlib.LinearAlgebra.TensorAlgebra.Basic
import Mathlib.LinearAlgebra.TensorPower
#align_import linear_algebra.tensor_algebra.to_tensor_power from "leanprover-community/mathlib"@"d97a0c9f7a7efe6d76d652c5a6b7c9c634b70e0a"
/-!
# Tensor algebras as direct sums of tensor powers
In this file we show that `TensorAlgebra R M` is isomorphic to a direct sum of tensor powers, as
`TensorAlgebra.equivDirectSum`.
-/
suppress_compilation
open scoped DirectSum TensorProduct
variable {R M : Type*} [CommSemiring R] [AddCommMonoid M] [Module R M]
namespace TensorPower
/-- The canonical embedding from a tensor power to the tensor algebra -/
def toTensorAlgebra {n} : ⨂[R]^n M →ₗ[R] TensorAlgebra R M :=
PiTensorProduct.lift (TensorAlgebra.tprod R M n)
#align tensor_power.to_tensor_algebra TensorPower.toTensorAlgebra
@[simp]
theorem toTensorAlgebra_tprod {n} (x : Fin n → M) :
TensorPower.toTensorAlgebra (PiTensorProduct.tprod R x) = TensorAlgebra.tprod R M n x :=
PiTensorProduct.lift.tprod _
#align tensor_power.to_tensor_algebra_tprod TensorPower.toTensorAlgebra_tprod
@[simp]
theorem toTensorAlgebra_gOne :
TensorPower.toTensorAlgebra (@GradedMonoid.GOne.one _ (fun n => ⨂[R]^n M) _ _) = 1 :=
TensorPower.toTensorAlgebra_tprod _
#align tensor_power.to_tensor_algebra_ghas_one TensorPower.toTensorAlgebra_gOne
@[simp]
| Mathlib/LinearAlgebra/TensorAlgebra/ToTensorPower.lean | 44 | 64 | theorem toTensorAlgebra_gMul {i j} (a : (⨂[R]^i) M) (b : (⨂[R]^j) M) :
TensorPower.toTensorAlgebra (@GradedMonoid.GMul.mul _ (fun n => ⨂[R]^n M) _ _ _ _ a b) =
TensorPower.toTensorAlgebra a * TensorPower.toTensorAlgebra b := by |
-- change `a` and `b` to `tprod R a` and `tprod R b`
rw [TensorPower.gMul_eq_coe_linearMap, ← LinearMap.compr₂_apply, ← @LinearMap.mul_apply' R, ←
LinearMap.compl₂_apply, ← LinearMap.comp_apply]
refine LinearMap.congr_fun (LinearMap.congr_fun ?_ a) b
clear! a b
ext (a b)
-- Porting note: pulled the next two lines out of the long `simp only` below.
simp only [LinearMap.compMultilinearMap_apply]
rw [LinearMap.compr₂_apply, ← gMul_eq_coe_linearMap]
simp only [LinearMap.compr₂_apply, LinearMap.mul_apply', LinearMap.compl₂_apply,
LinearMap.comp_apply, LinearMap.compMultilinearMap_apply, PiTensorProduct.lift.tprod,
TensorPower.tprod_mul_tprod, TensorPower.toTensorAlgebra_tprod, TensorAlgebra.tprod_apply, ←
gMul_eq_coe_linearMap]
refine Eq.trans ?_ List.prod_append
congr
-- Porting note: `erw` for `Function.comp`
erw [← List.map_ofFn _ (TensorAlgebra.ι R), ← List.map_ofFn _ (TensorAlgebra.ι R), ←
List.map_ofFn _ (TensorAlgebra.ι R), ← List.map_append, List.ofFn_fin_append]
|
/-
Copyright (c) 2021 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov, Alex Kontorovich
-/
import Mathlib.Order.Filter.Bases
#align_import order.filter.pi from "leanprover-community/mathlib"@"ce64cd319bb6b3e82f31c2d38e79080d377be451"
/-!
# (Co)product of a family of filters
In this file we define two filters on `Π i, α i` and prove some basic properties of these filters.
* `Filter.pi (f : Π i, Filter (α i))` to be the maximal filter on `Π i, α i` such that
`∀ i, Filter.Tendsto (Function.eval i) (Filter.pi f) (f i)`. It is defined as
`Π i, Filter.comap (Function.eval i) (f i)`. This is a generalization of `Filter.prod` to indexed
products.
* `Filter.coprodᵢ (f : Π i, Filter (α i))`: a generalization of `Filter.coprod`; it is the supremum
of `comap (eval i) (f i)`.
-/
open Set Function
open scoped Classical
open Filter
namespace Filter
variable {ι : Type*} {α : ι → Type*} {f f₁ f₂ : (i : ι) → Filter (α i)} {s : (i : ι) → Set (α i)}
{p : ∀ i, α i → Prop}
section Pi
/-- The product of an indexed family of filters. -/
def pi (f : ∀ i, Filter (α i)) : Filter (∀ i, α i) :=
⨅ i, comap (eval i) (f i)
#align filter.pi Filter.pi
instance pi.isCountablyGenerated [Countable ι] [∀ i, IsCountablyGenerated (f i)] :
IsCountablyGenerated (pi f) :=
iInf.isCountablyGenerated _
#align filter.pi.is_countably_generated Filter.pi.isCountablyGenerated
theorem tendsto_eval_pi (f : ∀ i, Filter (α i)) (i : ι) : Tendsto (eval i) (pi f) (f i) :=
tendsto_iInf' i tendsto_comap
#align filter.tendsto_eval_pi Filter.tendsto_eval_pi
theorem tendsto_pi {β : Type*} {m : β → ∀ i, α i} {l : Filter β} :
Tendsto m l (pi f) ↔ ∀ i, Tendsto (fun x => m x i) l (f i) := by
simp only [pi, tendsto_iInf, tendsto_comap_iff]; rfl
#align filter.tendsto_pi Filter.tendsto_pi
/-- If a function tends to a product `Filter.pi f` of filters, then its `i`-th component tends to
`f i`. See also `Filter.Tendsto.apply_nhds` for the special case of converging to a point in a
product of topological spaces. -/
alias ⟨Tendsto.apply, _⟩ := tendsto_pi
theorem le_pi {g : Filter (∀ i, α i)} : g ≤ pi f ↔ ∀ i, Tendsto (eval i) g (f i) :=
tendsto_pi
#align filter.le_pi Filter.le_pi
@[mono]
theorem pi_mono (h : ∀ i, f₁ i ≤ f₂ i) : pi f₁ ≤ pi f₂ :=
iInf_mono fun i => comap_mono <| h i
#align filter.pi_mono Filter.pi_mono
theorem mem_pi_of_mem (i : ι) {s : Set (α i)} (hs : s ∈ f i) : eval i ⁻¹' s ∈ pi f :=
mem_iInf_of_mem i <| preimage_mem_comap hs
#align filter.mem_pi_of_mem Filter.mem_pi_of_mem
| Mathlib/Order/Filter/Pi.lean | 74 | 77 | theorem pi_mem_pi {I : Set ι} (hI : I.Finite) (h : ∀ i ∈ I, s i ∈ f i) : I.pi s ∈ pi f := by |
rw [pi_def, biInter_eq_iInter]
refine mem_iInf_of_iInter hI (fun i => ?_) Subset.rfl
exact preimage_mem_comap (h i i.2)
|
/-
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.FieldTheory.RatFunc.Basic
import Mathlib.RingTheory.EuclideanDomain
import Mathlib.RingTheory.Localization.FractionRing
import Mathlib.RingTheory.Polynomial.Content
/-!
# Generalities on the polynomial structure of rational functions
## Main definitions
- `RatFunc.C` is the constant polynomial
- `RatFunc.X` is the indeterminate
- `RatFunc.eval` evaluates a rational function given a value for the indeterminate
-/
noncomputable section
universe u
variable {K : Type u}
namespace RatFunc
section Eval
open scoped Classical
open scoped nonZeroDivisors Polynomial
open RatFunc
/-! ### Polynomial structure: `C`, `X`, `eval` -/
section Domain
variable [CommRing K] [IsDomain K]
/-- `RatFunc.C a` is the constant rational function `a`. -/
def C : K →+* RatFunc K := algebraMap _ _
set_option linter.uppercaseLean3 false in #align ratfunc.C RatFunc.C
@[simp]
theorem algebraMap_eq_C : algebraMap K (RatFunc K) = C :=
rfl
set_option linter.uppercaseLean3 false in #align ratfunc.algebra_map_eq_C RatFunc.algebraMap_eq_C
@[simp]
theorem algebraMap_C (a : K) : algebraMap K[X] (RatFunc K) (Polynomial.C a) = C a :=
rfl
set_option linter.uppercaseLean3 false in #align ratfunc.algebra_map_C RatFunc.algebraMap_C
@[simp]
theorem algebraMap_comp_C : (algebraMap K[X] (RatFunc K)).comp Polynomial.C = C :=
rfl
set_option linter.uppercaseLean3 false in #align ratfunc.algebra_map_comp_C RatFunc.algebraMap_comp_C
theorem smul_eq_C_mul (r : K) (x : RatFunc K) : r • x = C r * x := by
rw [Algebra.smul_def, algebraMap_eq_C]
set_option linter.uppercaseLean3 false in #align ratfunc.smul_eq_C_mul RatFunc.smul_eq_C_mul
/-- `RatFunc.X` is the polynomial variable (aka indeterminate). -/
def X : RatFunc K :=
algebraMap K[X] (RatFunc K) Polynomial.X
set_option linter.uppercaseLean3 false in #align ratfunc.X RatFunc.X
@[simp]
theorem algebraMap_X : algebraMap K[X] (RatFunc K) Polynomial.X = X :=
rfl
set_option linter.uppercaseLean3 false in #align ratfunc.algebra_map_X RatFunc.algebraMap_X
end Domain
section Field
variable [Field K]
@[simp]
theorem num_C (c : K) : num (C c) = Polynomial.C c :=
num_algebraMap _
set_option linter.uppercaseLean3 false in #align ratfunc.num_C RatFunc.num_C
@[simp]
theorem denom_C (c : K) : denom (C c) = 1 :=
denom_algebraMap _
set_option linter.uppercaseLean3 false in #align ratfunc.denom_C RatFunc.denom_C
@[simp]
theorem num_X : num (X : RatFunc K) = Polynomial.X :=
num_algebraMap _
set_option linter.uppercaseLean3 false in #align ratfunc.num_X RatFunc.num_X
@[simp]
theorem denom_X : denom (X : RatFunc K) = 1 :=
denom_algebraMap _
set_option linter.uppercaseLean3 false in #align ratfunc.denom_X RatFunc.denom_X
theorem X_ne_zero : (X : RatFunc K) ≠ 0 :=
RatFunc.algebraMap_ne_zero Polynomial.X_ne_zero
set_option linter.uppercaseLean3 false in #align ratfunc.X_ne_zero RatFunc.X_ne_zero
variable {L : Type u} [Field L]
/-- Evaluate a rational function `p` given a ring hom `f` from the scalar field
to the target and a value `x` for the variable in the target.
Fractions are reduced by clearing common denominators before evaluating:
`eval id 1 ((X^2 - 1) / (X - 1)) = eval id 1 (X + 1) = 2`, not `0 / 0 = 0`.
-/
def eval (f : K →+* L) (a : L) (p : RatFunc K) : L :=
(num p).eval₂ f a / (denom p).eval₂ f a
#align ratfunc.eval RatFunc.eval
variable {f : K →+* L} {a : L}
theorem eval_eq_zero_of_eval₂_denom_eq_zero {x : RatFunc K}
(h : Polynomial.eval₂ f a (denom x) = 0) : eval f a x = 0 := by rw [eval, h, div_zero]
#align ratfunc.eval_eq_zero_of_eval₂_denom_eq_zero RatFunc.eval_eq_zero_of_eval₂_denom_eq_zero
theorem eval₂_denom_ne_zero {x : RatFunc K} (h : eval f a x ≠ 0) :
Polynomial.eval₂ f a (denom x) ≠ 0 :=
mt eval_eq_zero_of_eval₂_denom_eq_zero h
#align ratfunc.eval₂_denom_ne_zero RatFunc.eval₂_denom_ne_zero
variable (f a)
@[simp]
theorem eval_C {c : K} : eval f a (C c) = f c := by simp [eval]
set_option linter.uppercaseLean3 false in #align ratfunc.eval_C RatFunc.eval_C
@[simp]
theorem eval_X : eval f a X = a := by simp [eval]
set_option linter.uppercaseLean3 false in #align ratfunc.eval_X RatFunc.eval_X
@[simp]
| Mathlib/FieldTheory/RatFunc/AsPolynomial.lean | 139 | 139 | theorem eval_zero : eval f a 0 = 0 := by | simp [eval]
|
/-
Copyright (c) 2019 Michael Howes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Michael Howes, Newell Jensen
-/
import Mathlib.GroupTheory.FreeGroup.Basic
import Mathlib.GroupTheory.QuotientGroup
#align_import group_theory.presented_group from "leanprover-community/mathlib"@"d90e4e186f1d18e375dcd4e5b5f6364b01cb3e46"
/-!
# Defining a group given by generators and relations
Given a subset `rels` of relations of the free group on a type `α`, this file constructs the group
given by generators `x : α` and relations `r ∈ rels`.
## Main definitions
* `PresentedGroup rels`: the quotient group of the free group on a type `α` by a subset `rels` of
relations of the free group on `α`.
* `of`: The canonical map from `α` to a presented group with generators `α`.
* `toGroup f`: the canonical group homomorphism `PresentedGroup rels → G`, given a function
`f : α → G` from a type `α` to a group `G` which satisfies the relations `rels`.
## Tags
generators, relations, group presentations
-/
variable {α : Type*}
/-- Given a set of relations, `rels`, over a type `α`, `PresentedGroup` constructs the group with
generators `x : α` and relations `rels` as a quotient of `FreeGroup α`. -/
def PresentedGroup (rels : Set (FreeGroup α)) :=
FreeGroup α ⧸ Subgroup.normalClosure rels
#align presented_group PresentedGroup
namespace PresentedGroup
instance (rels : Set (FreeGroup α)) : Group (PresentedGroup rels) :=
QuotientGroup.Quotient.group _
/-- `of` is the canonical map from `α` to a presented group with generators `x : α`. The term `x` is
mapped to the equivalence class of the image of `x` in `FreeGroup α`. -/
def of {rels : Set (FreeGroup α)} (x : α) : PresentedGroup rels :=
QuotientGroup.mk (FreeGroup.of x)
#align presented_group.of PresentedGroup.of
/-- The generators of a presented group generate the presented group. That is, the subgroup closure
of the set of generators equals `⊤`. -/
@[simp]
theorem closure_range_of (rels : Set (FreeGroup α)) :
Subgroup.closure (Set.range (PresentedGroup.of : α → PresentedGroup rels)) = ⊤ := by
have : (PresentedGroup.of : α → PresentedGroup rels) = QuotientGroup.mk' _ ∘ FreeGroup.of := rfl
rw [this, Set.range_comp, ← MonoidHom.map_closure (QuotientGroup.mk' _),
FreeGroup.closure_range_of, ← MonoidHom.range_eq_map]
exact MonoidHom.range_top_of_surjective _ (QuotientGroup.mk'_surjective _)
section ToGroup
/-
Presented groups satisfy a universal property. If `G` is a group and `f : α → G` is a map such that
the images of `f` satisfy all the given relations, then `f` extends uniquely to a group homomorphism
from `PresentedGroup rels` to `G`.
-/
variable {G : Type*} [Group G] {f : α → G} {rels : Set (FreeGroup α)}
local notation "F" => FreeGroup.lift f
-- Porting note: `F` has been expanded, because `F r = 1` produces a sorry.
variable (h : ∀ r ∈ rels, FreeGroup.lift f r = 1)
theorem closure_rels_subset_ker : Subgroup.normalClosure rels ≤ MonoidHom.ker F :=
Subgroup.normalClosure_le_normal fun x w ↦ (MonoidHom.mem_ker _).2 (h x w)
#align presented_group.closure_rels_subset_ker PresentedGroup.closure_rels_subset_ker
theorem to_group_eq_one_of_mem_closure : ∀ x ∈ Subgroup.normalClosure rels, F x = 1 :=
fun _ w ↦ (MonoidHom.mem_ker _).1 <| closure_rels_subset_ker h w
#align presented_group.to_group_eq_one_of_mem_closure PresentedGroup.to_group_eq_one_of_mem_closure
/-- The extension of a map `f : α → G` that satisfies the given relations to a group homomorphism
from `PresentedGroup rels → G`. -/
def toGroup : PresentedGroup rels →* G :=
QuotientGroup.lift (Subgroup.normalClosure rels) F (to_group_eq_one_of_mem_closure h)
#align presented_group.to_group PresentedGroup.toGroup
@[simp]
theorem toGroup.of {x : α} : toGroup h (of x) = f x :=
FreeGroup.lift.of
#align presented_group.to_group.of PresentedGroup.toGroup.of
| Mathlib/GroupTheory/PresentedGroup.lean | 93 | 97 | theorem toGroup.unique (g : PresentedGroup rels →* G)
(hg : ∀ x : α, g (PresentedGroup.of x) = f x) : ∀ {x}, g x = toGroup h x := by |
intro x
refine QuotientGroup.induction_on x ?_
exact fun _ ↦ FreeGroup.lift.unique (g.comp (QuotientGroup.mk' _)) hg
|
/-
Copyright (c) 2022 Bolton Bailey. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bolton Bailey, Patrick Stevens, Thomas Browning
-/
import Mathlib.Data.Nat.Choose.Central
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Data.Nat.Multiplicity
#align_import data.nat.choose.factorization from "leanprover-community/mathlib"@"dc9db541168768af03fe228703e758e649afdbfc"
/-!
# Factorization of Binomial Coefficients
This file contains a few results on the multiplicity of prime factors within certain size
bounds in binomial coefficients. These include:
* `Nat.factorization_choose_le_log`: a logarithmic upper bound on the multiplicity of a prime in
a binomial coefficient.
* `Nat.factorization_choose_le_one`: Primes above `sqrt n` appear at most once
in the factorization of `n` choose `k`.
* `Nat.factorization_centralBinom_of_two_mul_self_lt_three_mul`: Primes from `2 * n / 3` to `n`
do not appear in the factorization of the `n`th central binomial coefficient.
* `Nat.factorization_choose_eq_zero_of_lt`: Primes greater than `n` do not
appear in the factorization of `n` choose `k`.
These results appear in the [Erdős proof of Bertrand's postulate](aigner1999proofs).
-/
namespace Nat
variable {p n k : ℕ}
/-- A logarithmic upper bound on the multiplicity of a prime in a binomial coefficient. -/
| Mathlib/Data/Nat/Choose/Factorization.lean | 36 | 45 | theorem factorization_choose_le_log : (choose n k).factorization p ≤ log p n := by |
by_cases h : (choose n k).factorization p = 0
· simp [h]
have hp : p.Prime := Not.imp_symm (choose n k).factorization_eq_zero_of_non_prime h
have hkn : k ≤ n := by
refine le_of_not_lt fun hnk => h ?_
simp [choose_eq_zero_of_lt hnk]
rw [factorization_def _ hp, @padicValNat_def _ ⟨hp⟩ _ (choose_pos hkn)]
simp only [hp.multiplicity_choose hkn (lt_add_one _), PartENat.get_natCast]
exact (Finset.card_filter_le _ _).trans (le_of_eq (Nat.card_Ico _ _))
|
/-
Copyright (c) 2023 Xavier Roblot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Xavier Roblot
-/
import Mathlib.NumberTheory.NumberField.Embeddings
#align_import number_theory.number_field.units from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
/-!
# Units of a number field
We prove some basic results on the group `(𝓞 K)ˣ` of units of the ring of integers `𝓞 K` of a number
field `K` and its torsion subgroup.
## Main definition
* `NumberField.Units.torsion`: the torsion subgroup of a number field.
## Main results
* `NumberField.isUnit_iff_norm`: an algebraic integer `x : 𝓞 K` is a unit if and only if
`|norm ℚ x| = 1`.
* `NumberField.Units.mem_torsion`: a unit `x : (𝓞 K)ˣ` is torsion iff `w x = 1` for all infinite
places `w` of `K`.
## Tags
number field, units
-/
open scoped NumberField
noncomputable section
open NumberField Units
section Rat
theorem Rat.RingOfIntegers.isUnit_iff {x : 𝓞 ℚ} : IsUnit x ↔ (x : ℚ) = 1 ∨ (x : ℚ) = -1 := by
simp_rw [(isUnit_map_iff (Rat.ringOfIntegersEquiv : 𝓞 ℚ →+* ℤ) x).symm, Int.isUnit_iff,
RingEquiv.coe_toRingHom, RingEquiv.map_eq_one_iff, RingEquiv.map_eq_neg_one_iff, ←
Subtype.coe_injective.eq_iff]; rfl
#align rat.ring_of_integers.is_unit_iff Rat.RingOfIntegers.isUnit_iff
end Rat
variable (K : Type*) [Field K]
section IsUnit
variable {K}
theorem NumberField.isUnit_iff_norm [NumberField K] {x : 𝓞 K} :
IsUnit x ↔ |(RingOfIntegers.norm ℚ x : ℚ)| = 1 := by
convert (RingOfIntegers.isUnit_norm ℚ (F := K)).symm
rw [← abs_one, abs_eq_abs, ← Rat.RingOfIntegers.isUnit_iff]
#align is_unit_iff_norm NumberField.isUnit_iff_norm
end IsUnit
namespace NumberField.Units
section coe
instance : CoeHTC (𝓞 K)ˣ K :=
⟨fun x => algebraMap _ K (Units.val x)⟩
theorem coe_injective : Function.Injective ((↑) : (𝓞 K)ˣ → K) :=
RingOfIntegers.coe_injective.comp Units.ext
variable {K}
theorem coe_coe (u : (𝓞 K)ˣ) : ((u : 𝓞 K) : K) = (u : K) := rfl
theorem coe_mul (x y : (𝓞 K)ˣ) : ((x * y : (𝓞 K)ˣ) : K) = (x : K) * (y : K) := rfl
| Mathlib/NumberTheory/NumberField/Units/Basic.lean | 78 | 79 | theorem coe_pow (x : (𝓞 K)ˣ) (n : ℕ) : ((x ^ n : (𝓞 K)ˣ) : K) = (x : K) ^ n := by |
rw [← map_pow, ← val_pow_eq_pow_val]
|
/-
Copyright (c) 2024 David Loeffler. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Loeffler
-/
import Mathlib.NumberTheory.ZetaValues
import Mathlib.NumberTheory.LSeries.RiemannZeta
/-!
# Special values of Hurwitz and Riemann zeta functions
This file gives the formula for `ζ (2 * k)`, for `k` a non-zero integer, in terms of Bernoulli
numbers. More generally, we give formulae for any Hurwitz zeta functions at any (strictly) negative
integer in terms of Bernoulli polynomials.
(Note that most of the actual work for these formulae is done elsewhere, in
`Mathlib.NumberTheory.ZetaValues`. This file has only those results which really need the
definition of Hurwitz zeta and related functions, rather than working directly with the defining
sums in the convergence range.)
## Main results
- `hurwitzZeta_neg_nat`: for `k : ℕ` with `k ≠ 0`, and any `x ∈ ℝ / ℤ`, the special value
`hurwitzZeta x (-k)` is equal to `-(Polynomial.bernoulli (k + 1) x) / (k + 1)`.
- `riemannZeta_neg_nat_eq_bernoulli` : for any `k ∈ ℕ` we have the formula
`riemannZeta (-k) = (-1) ^ k * bernoulli (k + 1) / (k + 1)`
- `riemannZeta_two_mul_nat`: formula for `ζ(2 * k)` for `k ∈ ℕ, k ≠ 0` in terms of Bernoulli
numbers
## TODO
* Extend to cover Dirichlet L-functions.
* The formulae are correct for `s = 0` as well, but we do not prove this case, since this requires
Fourier series which are only conditionally convergent, which is difficult to approach using the
methods in the library at the present time (May 2024).
-/
open Complex Real Set
open scoped Nat
namespace HurwitzZeta
variable {k : ℕ} {x : ℝ}
/-- Express the value of `cosZeta` at a positive even integer as a value
of the Bernoulli polynomial. -/
| Mathlib/NumberTheory/LSeries/HurwitzZetaValues.lean | 49 | 67 | theorem cosZeta_two_mul_nat (hk : k ≠ 0) (hx : x ∈ Icc 0 1) :
cosZeta x (2 * k) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k) / 2 / (2 * k)! *
((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by |
rw [← (hasSum_nat_cosZeta x (?_ : 1 < re (2 * k))).tsum_eq]
refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_cos hk hx).tsum_eq).trans ?_
· rw [ofReal_tsum]
refine tsum_congr fun n ↦ ?_
rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc,
← Nat.cast_ofNat (R := ℂ), ← Nat.cast_mul, cpow_natCast, ofReal_pow, ofReal_natCast]
· simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat,
ofReal_neg, ofReal_one]
congr 1
have : (Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ) = _ :=
(Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm
rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe]
apply Polynomial.map_aeval_eq_aeval_map
simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq]
· rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, natCast_re, Nat.cast_lt]
omega
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Kenny Lau, Scott Morrison, Alex Keizer
-/
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.fin_range from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
/-!
# Lists of elements of `Fin n`
This file develops some results on `finRange n`.
-/
universe u
namespace List
variable {α : Type u}
@[simp]
| Mathlib/Data/List/FinRange.lean | 25 | 27 | theorem map_coe_finRange (n : ℕ) : ((finRange n) : List (Fin n)).map (Fin.val) = List.range n := by |
simp_rw [finRange, map_pmap, pmap_eq_map]
exact List.map_id _
|
/-
Copyright (c) 2015, 2017 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Robert Y. Lewis, Johannes Hölzl, Mario Carneiro, Sébastien Gouëzel
-/
import Mathlib.Topology.MetricSpace.PseudoMetric
/-!
## Cauchy sequences in (pseudo-)metric spaces
Various results on Cauchy sequences in (pseudo-)metric spaces, including
* `Metric.complete_of_cauchySeq_tendsto` A pseudo-metric space is complete iff each Cauchy sequences
converges to some limit point.
* `cauchySeq_bdd`: a Cauchy sequence on the natural numbers is bounded
* various characterisation of Cauchy and uniformly Cauchy sequences
## Tags
metric, pseudo_metric, Cauchy sequence
-/
open Filter
open scoped Uniformity Topology
universe u v w
variable {α : Type u} {β : Type v} {X ι : Type*}
variable [PseudoMetricSpace α]
/-- A very useful criterion to show that a space is complete is to show that all sequences
which satisfy a bound of the form `dist (u n) (u m) < B N` for all `n m ≥ N` are
converging. This is often applied for `B N = 2^{-N}`, i.e., with a very fast convergence to
`0`, which makes it possible to use arguments of converging series, while this is impossible
to do in general for arbitrary Cauchy sequences. -/
theorem Metric.complete_of_convergent_controlled_sequences (B : ℕ → Real) (hB : ∀ n, 0 < B n)
(H : ∀ u : ℕ → α, (∀ N n m : ℕ, N ≤ n → N ≤ m → dist (u n) (u m) < B N) →
∃ x, Tendsto u atTop (𝓝 x)) :
CompleteSpace α :=
UniformSpace.complete_of_convergent_controlled_sequences
(fun n => { p : α × α | dist p.1 p.2 < B n }) (fun n => dist_mem_uniformity <| hB n) H
#align metric.complete_of_convergent_controlled_sequences Metric.complete_of_convergent_controlled_sequences
/-- A pseudo-metric space is complete iff every Cauchy sequence converges. -/
theorem Metric.complete_of_cauchySeq_tendsto :
(∀ u : ℕ → α, CauchySeq u → ∃ a, Tendsto u atTop (𝓝 a)) → CompleteSpace α :=
EMetric.complete_of_cauchySeq_tendsto
#align metric.complete_of_cauchy_seq_tendsto Metric.complete_of_cauchySeq_tendsto
section CauchySeq
variable [Nonempty β] [SemilatticeSup β]
/-- In a pseudometric space, Cauchy sequences are characterized by the fact that, eventually,
the distance between its elements is arbitrarily small -/
-- Porting note: @[nolint ge_or_gt] doesn't exist
theorem Metric.cauchySeq_iff {u : β → α} :
CauchySeq u ↔ ∀ ε > 0, ∃ N, ∀ m ≥ N, ∀ n ≥ N, dist (u m) (u n) < ε :=
uniformity_basis_dist.cauchySeq_iff
#align metric.cauchy_seq_iff Metric.cauchySeq_iff
/-- A variation around the pseudometric characterization of Cauchy sequences -/
theorem Metric.cauchySeq_iff' {u : β → α} :
CauchySeq u ↔ ∀ ε > 0, ∃ N, ∀ n ≥ N, dist (u n) (u N) < ε :=
uniformity_basis_dist.cauchySeq_iff'
#align metric.cauchy_seq_iff' Metric.cauchySeq_iff'
-- see Note [nolint_ge]
/-- In a pseudometric space, uniform Cauchy sequences are characterized by the fact that,
eventually, the distance between all its elements is uniformly, arbitrarily small. -/
-- Porting note: no attr @[nolint ge_or_gt]
| Mathlib/Topology/MetricSpace/Cauchy.lean | 72 | 91 | theorem Metric.uniformCauchySeqOn_iff {γ : Type*} {F : β → γ → α} {s : Set γ} :
UniformCauchySeqOn F atTop s ↔ ∀ ε > (0 : ℝ),
∃ N : β, ∀ m ≥ N, ∀ n ≥ N, ∀ x ∈ s, dist (F m x) (F n x) < ε := by |
constructor
· intro h ε hε
let u := { a : α × α | dist a.fst a.snd < ε }
have hu : u ∈ 𝓤 α := Metric.mem_uniformity_dist.mpr ⟨ε, hε, by simp [u]⟩
rw [← @Filter.eventually_atTop_prod_self' _ _ _ fun m =>
∀ x ∈ s, dist (F m.fst x) (F m.snd x) < ε]
specialize h u hu
rw [prod_atTop_atTop_eq] at h
exact h.mono fun n h x hx => h x hx
· intro h u hu
rcases Metric.mem_uniformity_dist.mp hu with ⟨ε, hε, hab⟩
rcases h ε hε with ⟨N, hN⟩
rw [prod_atTop_atTop_eq, eventually_atTop]
use (N, N)
intro b hb x hx
rcases hb with ⟨hbl, hbr⟩
exact hab (hN b.fst hbl.ge b.snd hbr.ge x hx)
|
/-
Copyright (c) 2019 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin
-/
import Mathlib.Data.Multiset.Nodup
import Mathlib.Data.List.NatAntidiagonal
#align_import data.multiset.nat_antidiagonal from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
/-!
# Antidiagonals in ℕ × ℕ as multisets
This file defines the antidiagonals of ℕ × ℕ as multisets: the `n`-th antidiagonal is the multiset
of pairs `(i, j)` such that `i + j = n`. This is useful for polynomial multiplication and more
generally for sums going from `0` to `n`.
## Notes
This refines file `Data.List.NatAntidiagonal` and is further refined by file
`Data.Finset.NatAntidiagonal`.
-/
namespace Multiset
namespace Nat
/-- The antidiagonal of a natural number `n` is
the multiset of pairs `(i, j)` such that `i + j = n`. -/
def antidiagonal (n : ℕ) : Multiset (ℕ × ℕ) :=
List.Nat.antidiagonal n
#align multiset.nat.antidiagonal Multiset.Nat.antidiagonal
/-- A pair (i, j) is contained in the antidiagonal of `n` if and only if `i + j = n`. -/
@[simp]
theorem mem_antidiagonal {n : ℕ} {x : ℕ × ℕ} : x ∈ antidiagonal n ↔ x.1 + x.2 = n := by
rw [antidiagonal, mem_coe, List.Nat.mem_antidiagonal]
#align multiset.nat.mem_antidiagonal Multiset.Nat.mem_antidiagonal
/-- The cardinality of the antidiagonal of `n` is `n+1`. -/
@[simp]
theorem card_antidiagonal (n : ℕ) : card (antidiagonal n) = n + 1 := by
rw [antidiagonal, coe_card, List.Nat.length_antidiagonal]
#align multiset.nat.card_antidiagonal Multiset.Nat.card_antidiagonal
/-- The antidiagonal of `0` is the list `[(0, 0)]` -/
@[simp]
theorem antidiagonal_zero : antidiagonal 0 = {(0, 0)} :=
rfl
#align multiset.nat.antidiagonal_zero Multiset.Nat.antidiagonal_zero
/-- The antidiagonal of `n` does not contain duplicate entries. -/
@[simp]
theorem nodup_antidiagonal (n : ℕ) : Nodup (antidiagonal n) :=
coe_nodup.2 <| List.Nat.nodup_antidiagonal n
#align multiset.nat.nodup_antidiagonal Multiset.Nat.nodup_antidiagonal
@[simp]
theorem antidiagonal_succ {n : ℕ} :
antidiagonal (n + 1) = (0, n + 1) ::ₘ (antidiagonal n).map (Prod.map Nat.succ id) := by
simp only [antidiagonal, List.Nat.antidiagonal_succ, map_coe, cons_coe]
#align multiset.nat.antidiagonal_succ Multiset.Nat.antidiagonal_succ
| Mathlib/Data/Multiset/NatAntidiagonal.lean | 64 | 67 | theorem antidiagonal_succ' {n : ℕ} :
antidiagonal (n + 1) = (n + 1, 0) ::ₘ (antidiagonal n).map (Prod.map id Nat.succ) := by |
rw [antidiagonal, List.Nat.antidiagonal_succ', ← coe_add, add_comm, antidiagonal, map_coe,
coe_add, List.singleton_append, cons_coe]
|
/-
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.Abelian
import Mathlib.Algebra.Lie.IdealOperations
import Mathlib.Order.Hom.Basic
#align_import algebra.lie.solvable from "leanprover-community/mathlib"@"a50170a88a47570ed186b809ca754110590f9476"
/-!
# Solvable Lie algebras
Like groups, Lie algebras admit a natural concept of solvability. We define this here via the
derived series and prove some related results. We also define the radical of a Lie algebra and
prove that it is solvable when the Lie algebra is Noetherian.
## Main definitions
* `LieAlgebra.derivedSeriesOfIdeal`
* `LieAlgebra.derivedSeries`
* `LieAlgebra.IsSolvable`
* `LieAlgebra.isSolvableAdd`
* `LieAlgebra.radical`
* `LieAlgebra.radicalIsSolvable`
* `LieAlgebra.derivedLengthOfIdeal`
* `LieAlgebra.derivedLength`
* `LieAlgebra.derivedAbelianOfIdeal`
## Tags
lie algebra, derived series, derived length, solvable, radical
-/
universe u v w w₁ w₂
variable (R : Type u) (L : Type v) (M : Type w) {L' : Type w₁}
variable [CommRing R] [LieRing L] [LieAlgebra R L] [LieRing L'] [LieAlgebra R L']
variable (I J : LieIdeal R L) {f : L' →ₗ⁅R⁆ L}
namespace LieAlgebra
/-- A generalisation of the derived series of a Lie algebra, whose zeroth term is a specified ideal.
It can be more convenient to work with this generalisation when considering the derived series of
an ideal since it provides a type-theoretic expression of the fact that the terms of the ideal's
derived series are also ideals of the enclosing algebra.
See also `LieIdeal.derivedSeries_eq_derivedSeriesOfIdeal_comap` and
`LieIdeal.derivedSeries_eq_derivedSeriesOfIdeal_map` below. -/
def derivedSeriesOfIdeal (k : ℕ) : LieIdeal R L → LieIdeal R L :=
(fun I => ⁅I, I⁆)^[k]
#align lie_algebra.derived_series_of_ideal LieAlgebra.derivedSeriesOfIdeal
@[simp]
theorem derivedSeriesOfIdeal_zero : derivedSeriesOfIdeal R L 0 I = I :=
rfl
#align lie_algebra.derived_series_of_ideal_zero LieAlgebra.derivedSeriesOfIdeal_zero
@[simp]
theorem derivedSeriesOfIdeal_succ (k : ℕ) :
derivedSeriesOfIdeal R L (k + 1) I =
⁅derivedSeriesOfIdeal R L k I, derivedSeriesOfIdeal R L k I⁆ :=
Function.iterate_succ_apply' (fun I => ⁅I, I⁆) k I
#align lie_algebra.derived_series_of_ideal_succ LieAlgebra.derivedSeriesOfIdeal_succ
/-- The derived series of Lie ideals of a Lie algebra. -/
abbrev derivedSeries (k : ℕ) : LieIdeal R L :=
derivedSeriesOfIdeal R L k ⊤
#align lie_algebra.derived_series LieAlgebra.derivedSeries
theorem derivedSeries_def (k : ℕ) : derivedSeries R L k = derivedSeriesOfIdeal R L k ⊤ :=
rfl
#align lie_algebra.derived_series_def LieAlgebra.derivedSeries_def
variable {R L}
local notation "D" => derivedSeriesOfIdeal R L
theorem derivedSeriesOfIdeal_add (k l : ℕ) : D (k + l) I = D k (D l I) := by
induction' k with k ih
· rw [Nat.zero_add, derivedSeriesOfIdeal_zero]
· rw [Nat.succ_add k l, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ, ih]
#align lie_algebra.derived_series_of_ideal_add LieAlgebra.derivedSeriesOfIdeal_add
@[mono]
| Mathlib/Algebra/Lie/Solvable.lean | 89 | 97 | theorem derivedSeriesOfIdeal_le {I J : LieIdeal R L} {k l : ℕ} (h₁ : I ≤ J) (h₂ : l ≤ k) :
D k I ≤ D l J := by |
revert l; induction' k with k ih <;> intro l h₂
· rw [le_zero_iff] at h₂; rw [h₂, derivedSeriesOfIdeal_zero]; exact h₁
· have h : l = k.succ ∨ l ≤ k := by rwa [le_iff_eq_or_lt, Nat.lt_succ_iff] at h₂
cases' h with h h
· rw [h, derivedSeriesOfIdeal_succ, derivedSeriesOfIdeal_succ]
exact LieSubmodule.mono_lie _ _ _ _ (ih (le_refl k)) (ih (le_refl k))
· rw [derivedSeriesOfIdeal_succ]; exact le_trans (LieSubmodule.lie_le_left _ _) (ih h)
|
/-
Copyright (c) 2021 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov, Alistair Tucker, Wen Yang
-/
import Mathlib.Order.Interval.Set.Image
import Mathlib.Order.CompleteLatticeIntervals
import Mathlib.Topology.Order.DenselyOrdered
import Mathlib.Topology.Order.Monotone
#align_import topology.algebra.order.intermediate_value from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
/-!
# Intermediate Value Theorem
In this file we prove the Intermediate Value Theorem: if `f : α → β` is a function defined on a
connected set `s` that takes both values `≤ a` and values `≥ a` on `s`, then it is equal to `a` at
some point of `s`. We also prove that intervals in a dense conditionally complete order are
preconnected and any preconnected set is an interval. Then we specialize IVT to functions continuous
on intervals.
## Main results
* `IsPreconnected_I??` : all intervals `I??` are preconnected,
* `IsPreconnected.intermediate_value`, `intermediate_value_univ` : Intermediate Value Theorem for
connected sets and connected spaces, respectively;
* `intermediate_value_Icc`, `intermediate_value_Icc'`: Intermediate Value Theorem for functions
on closed intervals.
### Miscellaneous facts
* `IsClosed.Icc_subset_of_forall_mem_nhdsWithin` : “Continuous induction” principle;
if `s ∩ [a, b]` is closed, `a ∈ s`, and for each `x ∈ [a, b) ∩ s` some of its right neighborhoods
is included `s`, then `[a, b] ⊆ s`.
* `IsClosed.Icc_subset_of_forall_exists_gt`, `IsClosed.mem_of_ge_of_forall_exists_gt` : two
other versions of the “continuous induction” principle.
* `ContinuousOn.StrictMonoOn_of_InjOn_Ioo` :
Every continuous injective `f : (a, b) → δ` is strictly monotone
or antitone (increasing or decreasing).
## Tags
intermediate value theorem, connected space, connected set
-/
open Filter OrderDual TopologicalSpace Function Set
open Topology Filter
universe u v w
/-!
### Intermediate value theorem on a (pre)connected space
In this section we prove the following theorem (see `IsPreconnected.intermediate_value₂`): if `f`
and `g` are two functions continuous on a preconnected set `s`, `f a ≤ g a` at some `a ∈ s` and
`g b ≤ f b` at some `b ∈ s`, then `f c = g c` at some `c ∈ s`. We prove several versions of this
statement, including the classical IVT that corresponds to a constant function `g`.
-/
section
variable {X : Type u} {α : Type v} [TopologicalSpace X] [LinearOrder α] [TopologicalSpace α]
[OrderClosedTopology α]
/-- Intermediate value theorem for two functions: if `f` and `g` are two continuous functions
on a preconnected space and `f a ≤ g a` and `g b ≤ f b`, then for some `x` we have `f x = g x`. -/
| Mathlib/Topology/Order/IntermediateValue.lean | 70 | 75 | theorem intermediate_value_univ₂ [PreconnectedSpace X] {a b : X} {f g : X → α} (hf : Continuous f)
(hg : Continuous g) (ha : f a ≤ g a) (hb : g b ≤ f b) : ∃ x, f x = g x := by |
obtain ⟨x, _, hfg, hgf⟩ : (univ ∩ { x | f x ≤ g x ∧ g x ≤ f x }).Nonempty :=
isPreconnected_closed_iff.1 PreconnectedSpace.isPreconnected_univ _ _ (isClosed_le hf hg)
(isClosed_le hg hf) (fun _ _ => le_total _ _) ⟨a, trivial, ha⟩ ⟨b, trivial, hb⟩
exact ⟨x, le_antisymm hfg hgf⟩
|
/-
Copyright (c) 2021 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import Mathlib.Algebra.CharP.ExpChar
import Mathlib.GroupTheory.OrderOfElement
#align_import algebra.char_p.two from "leanprover-community/mathlib"@"7f1ba1a333d66eed531ecb4092493cd1b6715450"
/-!
# Lemmas about rings of characteristic two
This file contains results about `CharP R 2`, in the `CharTwo` namespace.
The lemmas in this file with a `_sq` suffix are just special cases of the `_pow_char` lemmas
elsewhere, with a shorter name for ease of discovery, and no need for a `[Fact (Prime 2)]` argument.
-/
variable {R ι : Type*}
namespace CharTwo
section Semiring
variable [Semiring R] [CharP R 2]
theorem two_eq_zero : (2 : R) = 0 := by rw [← Nat.cast_two, CharP.cast_eq_zero]
#align char_two.two_eq_zero CharTwo.two_eq_zero
@[simp]
theorem add_self_eq_zero (x : R) : x + x = 0 := by rw [← two_smul R x, two_eq_zero, zero_smul]
#align char_two.add_self_eq_zero CharTwo.add_self_eq_zero
set_option linter.deprecated false in
@[simp]
theorem bit0_eq_zero : (bit0 : R → R) = 0 := by
funext
exact add_self_eq_zero _
#align char_two.bit0_eq_zero CharTwo.bit0_eq_zero
set_option linter.deprecated false in
theorem bit0_apply_eq_zero (x : R) : (bit0 x : R) = 0 := by simp
#align char_two.bit0_apply_eq_zero CharTwo.bit0_apply_eq_zero
set_option linter.deprecated false in
@[simp]
theorem bit1_eq_one : (bit1 : R → R) = 1 := by
funext
simp [bit1]
#align char_two.bit1_eq_one CharTwo.bit1_eq_one
set_option linter.deprecated false in
theorem bit1_apply_eq_one (x : R) : (bit1 x : R) = 1 := by simp
#align char_two.bit1_apply_eq_one CharTwo.bit1_apply_eq_one
end Semiring
section Ring
variable [Ring R] [CharP R 2]
@[simp]
theorem neg_eq (x : R) : -x = x := by
rw [neg_eq_iff_add_eq_zero, ← two_smul R x, two_eq_zero, zero_smul]
#align char_two.neg_eq CharTwo.neg_eq
theorem neg_eq' : Neg.neg = (id : R → R) :=
funext neg_eq
#align char_two.neg_eq' CharTwo.neg_eq'
@[simp]
theorem sub_eq_add (x y : R) : x - y = x + y := by rw [sub_eq_add_neg, neg_eq]
#align char_two.sub_eq_add CharTwo.sub_eq_add
theorem sub_eq_add' : HSub.hSub = ((· + ·) : R → R → R) :=
funext fun x => funext fun y => sub_eq_add x y
#align char_two.sub_eq_add' CharTwo.sub_eq_add'
end Ring
section CommSemiring
variable [CommSemiring R] [CharP R 2]
theorem add_sq (x y : R) : (x + y) ^ 2 = x ^ 2 + y ^ 2 :=
add_pow_char _ _ _
#align char_two.add_sq CharTwo.add_sq
theorem add_mul_self (x y : R) : (x + y) * (x + y) = x * x + y * y := by
rw [← pow_two, ← pow_two, ← pow_two, add_sq]
#align char_two.add_mul_self CharTwo.add_mul_self
theorem list_sum_sq (l : List R) : l.sum ^ 2 = (l.map (· ^ 2)).sum :=
list_sum_pow_char _ _
#align char_two.list_sum_sq CharTwo.list_sum_sq
| Mathlib/Algebra/CharP/Two.lean | 99 | 100 | theorem list_sum_mul_self (l : List R) : l.sum * l.sum = (List.map (fun x => x * x) l).sum := by |
simp_rw [← pow_two, list_sum_sq]
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne, Sébastien Gouëzel,
Rémy Degenne, David Loeffler
-/
import Mathlib.Analysis.SpecialFunctions.Complex.Log
#align_import analysis.special_functions.pow.complex from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8"
/-! # Power function on `ℂ`
We construct the power functions `x ^ y`, where `x` and `y` are complex numbers.
-/
open scoped Classical
open Real Topology Filter ComplexConjugate Finset Set
namespace Complex
/-- The complex power function `x ^ y`, given by `x ^ y = exp(y log x)` (where `log` is the
principal determination of the logarithm), unless `x = 0` where one sets `0 ^ 0 = 1` and
`0 ^ y = 0` for `y ≠ 0`. -/
noncomputable def cpow (x y : ℂ) : ℂ :=
if x = 0 then if y = 0 then 1 else 0 else exp (log x * y)
#align complex.cpow Complex.cpow
noncomputable instance : Pow ℂ ℂ :=
⟨cpow⟩
@[simp]
theorem cpow_eq_pow (x y : ℂ) : cpow x y = x ^ y :=
rfl
#align complex.cpow_eq_pow Complex.cpow_eq_pow
theorem cpow_def (x y : ℂ) : x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) :=
rfl
#align complex.cpow_def Complex.cpow_def
theorem cpow_def_of_ne_zero {x : ℂ} (hx : x ≠ 0) (y : ℂ) : x ^ y = exp (log x * y) :=
if_neg hx
#align complex.cpow_def_of_ne_zero Complex.cpow_def_of_ne_zero
@[simp]
| Mathlib/Analysis/SpecialFunctions/Pow/Complex.lean | 45 | 45 | theorem cpow_zero (x : ℂ) : x ^ (0 : ℂ) = 1 := by | simp [cpow_def]
|
/-
Copyright (c) 2014 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Yury Kudryashov, Neil Strickland
-/
import Mathlib.Algebra.Ring.Semiconj
import Mathlib.Algebra.Ring.Units
import Mathlib.Algebra.Group.Commute.Defs
import Mathlib.Data.Bracket
#align_import algebra.ring.commute from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025"
/-!
# Semirings and rings
This file gives lemmas about semirings, rings and domains.
This is analogous to `Mathlib.Algebra.Group.Basic`,
the difference being that the former is about `+` and `*` separately, while
the present file is about their interaction.
For the definitions of semirings and rings see `Mathlib.Algebra.Ring.Defs`.
-/
universe u v w x
variable {α : Type u} {β : Type v} {γ : Type w} {R : Type x}
open Function
namespace Commute
@[simp]
theorem add_right [Distrib R] {a b c : R} : Commute a b → Commute a c → Commute a (b + c) :=
SemiconjBy.add_right
#align commute.add_right Commute.add_rightₓ
-- for some reason mathport expected `Semiring` instead of `Distrib`?
@[simp]
theorem add_left [Distrib R] {a b c : R} : Commute a c → Commute b c → Commute (a + b) c :=
SemiconjBy.add_left
#align commute.add_left Commute.add_leftₓ
-- for some reason mathport expected `Semiring` instead of `Distrib`?
section deprecated
set_option linter.deprecated false
@[deprecated]
theorem bit0_right [Distrib R] {x y : R} (h : Commute x y) : Commute x (bit0 y) :=
h.add_right h
#align commute.bit0_right Commute.bit0_right
@[deprecated]
theorem bit0_left [Distrib R] {x y : R} (h : Commute x y) : Commute (bit0 x) y :=
h.add_left h
#align commute.bit0_left Commute.bit0_left
@[deprecated]
theorem bit1_right [NonAssocSemiring R] {x y : R} (h : Commute x y) : Commute x (bit1 y) :=
h.bit0_right.add_right (Commute.one_right x)
#align commute.bit1_right Commute.bit1_right
@[deprecated]
theorem bit1_left [NonAssocSemiring R] {x y : R} (h : Commute x y) : Commute (bit1 x) y :=
h.bit0_left.add_left (Commute.one_left y)
#align commute.bit1_left Commute.bit1_left
end deprecated
/-- Representation of a difference of two squares of commuting elements as a product. -/
| Mathlib/Algebra/Ring/Commute.lean | 72 | 74 | theorem mul_self_sub_mul_self_eq [NonUnitalNonAssocRing R] {a b : R} (h : Commute a b) :
a * a - b * b = (a + b) * (a - b) := by |
rw [add_mul, mul_sub, mul_sub, h.eq, sub_add_sub_cancel]
|
/-
Copyright (c) 2024 Emilie Burgun. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Emilie Burgun
-/
import Mathlib.Algebra.Group.Commute.Basic
import Mathlib.GroupTheory.GroupAction.Basic
import Mathlib.Dynamics.PeriodicPts
import Mathlib.Data.Set.Pointwise.SMul
/-!
# Properties of `fixedPoints` and `fixedBy`
This module contains some useful properties of `MulAction.fixedPoints` and `MulAction.fixedBy`
that don't directly belong to `Mathlib.GroupTheory.GroupAction.Basic`.
## Main theorems
* `MulAction.fixedBy_mul`: `fixedBy α (g * h) ⊆ fixedBy α g ∪ fixedBy α h`
* `MulAction.fixedBy_conj` and `MulAction.smul_fixedBy`: the pointwise group action of `h` on
`fixedBy α g` is equal to the `fixedBy` set of the conjugation of `h` with `g`
(`fixedBy α (h * g * h⁻¹)`).
* `MulAction.set_mem_fixedBy_of_movedBy_subset` shows that if a set `s` is a superset of
`(fixedBy α g)ᶜ`, then the group action of `g` cannot send elements of `s` outside of `s`.
This is expressed as `s ∈ fixedBy (Set α) g`, and `MulAction.set_mem_fixedBy_iff` allows one
to convert the relationship back to `g • x ∈ s ↔ x ∈ s`.
* `MulAction.not_commute_of_disjoint_smul_movedBy` allows one to prove that `g` and `h`
do not commute from the disjointness of the `(fixedBy α g)ᶜ` set and `h • (fixedBy α g)ᶜ`,
which is a property used in the proof of Rubin's theorem.
The theorems above are also available for `AddAction`.
## Pointwise group action and `fixedBy (Set α) g`
Since `fixedBy α g = { x | g • x = x }` by definition, properties about the pointwise action of
a set `s : Set α` can be expressed using `fixedBy (Set α) g`.
To properly use theorems using `fixedBy (Set α) g`, you should `open Pointwise` in your file.
`s ∈ fixedBy (Set α) g` means that `g • s = s`, which is equivalent to say that
`∀ x, g • x ∈ s ↔ x ∈ s` (the translation can be done using `MulAction.set_mem_fixedBy_iff`).
`s ∈ fixedBy (Set α) g` is a weaker statement than `s ⊆ fixedBy α g`: the latter requires that
all points in `s` are fixed by `g`, whereas the former only requires that `g • x ∈ s`.
-/
namespace MulAction
open Pointwise
variable {α : Type*}
variable {G : Type*} [Group G] [MulAction G α]
variable {M : Type*} [Monoid M] [MulAction M α]
section FixedPoints
variable (α) in
/-- In a multiplicative group action, the points fixed by `g` are also fixed by `g⁻¹` -/
@[to_additive (attr := simp)
"In an additive group action, the points fixed by `g` are also fixed by `g⁻¹`"]
theorem fixedBy_inv (g : G) : fixedBy α g⁻¹ = fixedBy α g := by
ext
rw [mem_fixedBy, mem_fixedBy, inv_smul_eq_iff, eq_comm]
@[to_additive]
theorem smul_mem_fixedBy_iff_mem_fixedBy {a : α} {g : G} :
g • a ∈ fixedBy α g ↔ a ∈ fixedBy α g := by
rw [mem_fixedBy, smul_left_cancel_iff]
rfl
@[to_additive]
theorem smul_inv_mem_fixedBy_iff_mem_fixedBy {a : α} {g : G} :
g⁻¹ • a ∈ fixedBy α g ↔ a ∈ fixedBy α g := by
rw [← fixedBy_inv, smul_mem_fixedBy_iff_mem_fixedBy, fixedBy_inv]
@[to_additive minimalPeriod_eq_one_iff_fixedBy]
theorem minimalPeriod_eq_one_iff_fixedBy {a : α} {g : G} :
Function.minimalPeriod (fun x => g • x) a = 1 ↔ a ∈ fixedBy α g :=
Function.minimalPeriod_eq_one_iff_isFixedPt
variable (α) in
@[to_additive]
theorem fixedBy_subset_fixedBy_zpow (g : G) (j : ℤ) :
fixedBy α g ⊆ fixedBy α (g ^ j) := by
intro a a_in_fixedBy
rw [mem_fixedBy, zpow_smul_eq_iff_minimalPeriod_dvd,
minimalPeriod_eq_one_iff_fixedBy.mpr a_in_fixedBy, Nat.cast_one]
exact one_dvd j
variable (M α) in
@[to_additive (attr := simp)]
theorem fixedBy_one_eq_univ : fixedBy α (1 : M) = Set.univ :=
Set.eq_univ_iff_forall.mpr <| one_smul M
variable (α) in
@[to_additive]
theorem fixedBy_mul (m₁ m₂ : M) : fixedBy α m₁ ∩ fixedBy α m₂ ⊆ fixedBy α (m₁ * m₂) := by
intro a ⟨h₁, h₂⟩
rw [mem_fixedBy, mul_smul, h₂, h₁]
variable (α) in
@[to_additive]
theorem smul_fixedBy (g h: G) :
h • fixedBy α g = fixedBy α (h * g * h⁻¹) := by
ext a
simp_rw [Set.mem_smul_set_iff_inv_smul_mem, mem_fixedBy, mul_smul, smul_eq_iff_eq_inv_smul h]
end FixedPoints
section Pointwise
/-!
### `fixedBy` sets of the pointwise group action
The theorems below need the `Pointwise` scoped to be opened (using `open Pointwise`)
to be used effectively.
-/
/--
If a set `s : Set α` is in `fixedBy (Set α) g`, then all points of `s` will stay in `s` after being
moved by `g`.
-/
@[to_additive "If a set `s : Set α` is in `fixedBy (Set α) g`, then all points of `s` will stay in
`s` after being moved by `g`."]
| Mathlib/GroupTheory/GroupAction/FixedPoints.lean | 124 | 126 | theorem set_mem_fixedBy_iff (s : Set α) (g : G) :
s ∈ fixedBy (Set α) g ↔ ∀ x, g • x ∈ s ↔ x ∈ s := by |
simp_rw [mem_fixedBy, ← eq_inv_smul_iff, Set.ext_iff, Set.mem_inv_smul_set_iff, Iff.comm]
|
/-
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.Bind
#align_import data.multiset.fold from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
/-!
# The fold operation for a commutative associative operation over a multiset.
-/
namespace Multiset
variable {α β : Type*}
/-! ### fold -/
section Fold
variable (op : α → α → α) [hc : Std.Commutative op] [ha : Std.Associative op]
local notation a " * " b => op a b
/-- `fold op b s` folds a commutative associative operation `op` over
the multiset `s`. -/
def fold : α → Multiset α → α :=
foldr op (left_comm _ hc.comm ha.assoc)
#align multiset.fold Multiset.fold
theorem fold_eq_foldr (b : α) (s : Multiset α) :
fold op b s = foldr op (left_comm _ hc.comm ha.assoc) b s :=
rfl
#align multiset.fold_eq_foldr Multiset.fold_eq_foldr
@[simp]
theorem coe_fold_r (b : α) (l : List α) : fold op b l = l.foldr op b :=
rfl
#align multiset.coe_fold_r Multiset.coe_fold_r
theorem coe_fold_l (b : α) (l : List α) : fold op b l = l.foldl op b :=
(coe_foldr_swap op _ b l).trans <| by simp [hc.comm]
#align multiset.coe_fold_l Multiset.coe_fold_l
theorem fold_eq_foldl (b : α) (s : Multiset α) :
fold op b s = foldl op (right_comm _ hc.comm ha.assoc) b s :=
Quot.inductionOn s fun _ => coe_fold_l _ _ _
#align multiset.fold_eq_foldl Multiset.fold_eq_foldl
@[simp]
theorem fold_zero (b : α) : (0 : Multiset α).fold op b = b :=
rfl
#align multiset.fold_zero Multiset.fold_zero
@[simp]
theorem fold_cons_left : ∀ (b a : α) (s : Multiset α), (a ::ₘ s).fold op b = a * s.fold op b :=
foldr_cons _ _
#align multiset.fold_cons_left Multiset.fold_cons_left
theorem fold_cons_right (b a : α) (s : Multiset α) : (a ::ₘ s).fold op b = s.fold op b * a := by
simp [hc.comm]
#align multiset.fold_cons_right Multiset.fold_cons_right
| Mathlib/Data/Multiset/Fold.lean | 67 | 68 | theorem fold_cons'_right (b a : α) (s : Multiset α) : (a ::ₘ s).fold op b = s.fold op (b * a) := by |
rw [fold_eq_foldl, foldl_cons, ← fold_eq_foldl]
|
/-
Copyright (c) 2021 Frédéric Dupuis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Frédéric Dupuis
-/
import Mathlib.Algebra.Group.Subgroup.Basic
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Star.Pi
#align_import algebra.star.self_adjoint from "leanprover-community/mathlib"@"a6ece35404f60597c651689c1b46ead86de5ac1b"
/-!
# Self-adjoint, skew-adjoint and normal elements of a star additive group
This file defines `selfAdjoint R` (resp. `skewAdjoint R`), where `R` is a star additive group,
as the additive subgroup containing the elements that satisfy `star x = x` (resp. `star x = -x`).
This includes, for instance, (skew-)Hermitian operators on Hilbert spaces.
We also define `IsStarNormal R`, a `Prop` that states that an element `x` satisfies
`star x * x = x * star x`.
## Implementation notes
* When `R` is a `StarModule R₂ R`, then `selfAdjoint R` has a natural
`Module (selfAdjoint R₂) (selfAdjoint R)` structure. However, doing this literally would be
undesirable since in the main case of interest (`R₂ = ℂ`) we want `Module ℝ (selfAdjoint R)`
and not `Module (selfAdjoint ℂ) (selfAdjoint R)`. We solve this issue by adding the typeclass
`[TrivialStar R₃]`, of which `ℝ` is an instance (registered in `Data/Real/Basic`), and then
add a `[Module R₃ (selfAdjoint R)]` instance whenever we have
`[Module R₃ R] [TrivialStar R₃]`. (Another approach would have been to define
`[StarInvariantScalars R₃ R]` to express the fact that `star (x • v) = x • star v`, but
this typeclass would have the disadvantage of taking two type arguments.)
## TODO
* Define `IsSkewAdjoint` to match `IsSelfAdjoint`.
* Define `fun z x => z * x * star z` (i.e. conjugation by `z`) as a monoid action of `R` on `R`
(similar to the existing `ConjAct` for groups), and then state the fact that `selfAdjoint R` is
invariant under it.
-/
open Function
variable {R A : Type*}
/-- An element is self-adjoint if it is equal to its star. -/
def IsSelfAdjoint [Star R] (x : R) : Prop :=
star x = x
#align is_self_adjoint IsSelfAdjoint
/-- An element of a star monoid is normal if it commutes with its adjoint. -/
@[mk_iff]
class IsStarNormal [Mul R] [Star R] (x : R) : Prop where
/-- A normal element of a star monoid commutes with its adjoint. -/
star_comm_self : Commute (star x) x
#align is_star_normal IsStarNormal
export IsStarNormal (star_comm_self)
theorem star_comm_self' [Mul R] [Star R] (x : R) [IsStarNormal x] : star x * x = x * star x :=
IsStarNormal.star_comm_self
#align star_comm_self' star_comm_self'
namespace IsSelfAdjoint
-- named to match `Commute.allₓ`
/-- All elements are self-adjoint when `star` is trivial. -/
theorem all [Star R] [TrivialStar R] (r : R) : IsSelfAdjoint r :=
star_trivial _
#align is_self_adjoint.all IsSelfAdjoint.all
theorem star_eq [Star R] {x : R} (hx : IsSelfAdjoint x) : star x = x :=
hx
#align is_self_adjoint.star_eq IsSelfAdjoint.star_eq
theorem _root_.isSelfAdjoint_iff [Star R] {x : R} : IsSelfAdjoint x ↔ star x = x :=
Iff.rfl
#align is_self_adjoint_iff isSelfAdjoint_iff
@[simp]
| Mathlib/Algebra/Star/SelfAdjoint.lean | 82 | 83 | theorem star_iff [InvolutiveStar R] {x : R} : IsSelfAdjoint (star x) ↔ IsSelfAdjoint x := by |
simpa only [IsSelfAdjoint, star_star] using eq_comm
|
/-
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
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
#align simple_graph.dart_edge_eq_iff SimpleGraph.dart_edge_eq_iff
| Mathlib/Combinatorics/SimpleGraph/Dart.lean | 112 | 115 | theorem dart_edge_eq_mk'_iff :
∀ {d : G.Dart} {p : V × V}, d.edge = Sym2.mk p ↔ d.toProd = p ∨ d.toProd = p.swap := by |
rintro ⟨p, h⟩
apply Sym2.mk_eq_mk_iff
|
/-
Copyright (c) 2018 Mitchell Rowett. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mitchell Rowett, Scott Morrison
-/
import Mathlib.Algebra.Quotient
import Mathlib.Algebra.Group.Subgroup.Actions
import Mathlib.Algebra.Group.Subgroup.MulOpposite
import Mathlib.GroupTheory.GroupAction.Basic
import Mathlib.SetTheory.Cardinal.Finite
#align_import group_theory.coset from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
/-!
# Cosets
This file develops the basic theory of left and right cosets.
When `G` is a group and `a : G`, `s : Set G`, with `open scoped Pointwise` we can write:
* the left coset of `s` by `a` as `a • s`
* the right coset of `s` by `a` as `MulOpposite.op a • s` (or `op a • s` with `open MulOpposite`)
If instead `G` is an additive group, we can write (with `open scoped Pointwise` still)
* the left coset of `s` by `a` as `a +ᵥ s`
* the right coset of `s` by `a` as `AddOpposite.op a +ᵥ s` (or `op a • s` with `open AddOpposite`)
## Main definitions
* `QuotientGroup.quotient s`: the quotient type representing the left cosets with respect to a
subgroup `s`, for an `AddGroup` this is `QuotientAddGroup.quotient s`.
* `QuotientGroup.mk`: the canonical map from `α` to `α/s` for a subgroup `s` of `α`, for an
`AddGroup` this is `QuotientAddGroup.mk`.
* `Subgroup.leftCosetEquivSubgroup`: the natural bijection between a left coset and the subgroup,
for an `AddGroup` this is `AddSubgroup.leftCosetEquivAddSubgroup`.
## Notation
* `G ⧸ H` is the quotient of the (additive) group `G` by the (additive) subgroup `H`
## TODO
Properly merge with pointwise actions on sets, by renaming and deduplicating lemmas as appropriate.
-/
open Function MulOpposite Set
open scoped Pointwise
variable {α : Type*}
#align left_coset HSMul.hSMul
#align left_add_coset HVAdd.hVAdd
#noalign right_coset
#noalign right_add_coset
section CosetMul
variable [Mul α]
@[to_additive mem_leftAddCoset]
theorem mem_leftCoset {s : Set α} {x : α} (a : α) (hxS : x ∈ s) : a * x ∈ a • s :=
mem_image_of_mem (fun b : α => a * b) hxS
#align mem_left_coset mem_leftCoset
#align mem_left_add_coset mem_leftAddCoset
@[to_additive mem_rightAddCoset]
theorem mem_rightCoset {s : Set α} {x : α} (a : α) (hxS : x ∈ s) : x * a ∈ op a • s :=
mem_image_of_mem (fun b : α => b * a) hxS
#align mem_right_coset mem_rightCoset
#align mem_right_add_coset mem_rightAddCoset
/-- Equality of two left cosets `a * s` and `b * s`. -/
@[to_additive LeftAddCosetEquivalence "Equality of two left cosets `a + s` and `b + s`."]
def LeftCosetEquivalence (s : Set α) (a b : α) :=
a • s = b • s
#align left_coset_equivalence LeftCosetEquivalence
#align left_add_coset_equivalence LeftAddCosetEquivalence
@[to_additive leftAddCosetEquivalence_rel]
theorem leftCosetEquivalence_rel (s : Set α) : Equivalence (LeftCosetEquivalence s) :=
@Equivalence.mk _ (LeftCosetEquivalence s) (fun _ => rfl) Eq.symm Eq.trans
#align left_coset_equivalence_rel leftCosetEquivalence_rel
#align left_add_coset_equivalence_rel leftAddCosetEquivalence_rel
/-- Equality of two right cosets `s * a` and `s * b`. -/
@[to_additive RightAddCosetEquivalence "Equality of two right cosets `s + a` and `s + b`."]
def RightCosetEquivalence (s : Set α) (a b : α) :=
op a • s = op b • s
#align right_coset_equivalence RightCosetEquivalence
#align right_add_coset_equivalence RightAddCosetEquivalence
@[to_additive rightAddCosetEquivalence_rel]
theorem rightCosetEquivalence_rel (s : Set α) : Equivalence (RightCosetEquivalence s) :=
@Equivalence.mk _ (RightCosetEquivalence s) (fun _a => rfl) Eq.symm Eq.trans
#align right_coset_equivalence_rel rightCosetEquivalence_rel
#align right_add_coset_equivalence_rel rightAddCosetEquivalence_rel
end CosetMul
section CosetSemigroup
variable [Semigroup α]
@[to_additive leftAddCoset_assoc]
theorem leftCoset_assoc (s : Set α) (a b : α) : a • (b • s) = (a * b) • s := by
simp [← image_smul, (image_comp _ _ _).symm, Function.comp, mul_assoc]
#align left_coset_assoc leftCoset_assoc
#align left_add_coset_assoc leftAddCoset_assoc
@[to_additive rightAddCoset_assoc]
| Mathlib/GroupTheory/Coset.lean | 111 | 112 | theorem rightCoset_assoc (s : Set α) (a b : α) : op b • op a • s = op (a * b) • s := by |
simp [← image_smul, (image_comp _ _ _).symm, Function.comp, mul_assoc]
|
/-
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.Finsupp.Defs
#align_import data.finsupp.indicator from "leanprover-community/mathlib"@"842328d9df7e96fd90fc424e115679c15fb23a71"
/-!
# Building finitely supported functions off finsets
This file defines `Finsupp.indicator` to help create finsupps from finsets.
## Main declarations
* `Finsupp.indicator`: Turns a map from a `Finset` into a `Finsupp` from the entire type.
-/
noncomputable section
open Finset Function
variable {ι α : Type*}
namespace Finsupp
variable [Zero α] {s : Finset ι} (f : ∀ i ∈ s, α) {i : ι}
/-- Create an element of `ι →₀ α` from a finset `s` and a function `f` defined on this finset. -/
def indicator (s : Finset ι) (f : ∀ i ∈ s, α) : ι →₀ α where
toFun i :=
haveI := Classical.decEq ι
if H : i ∈ s then f i H else 0
support :=
haveI := Classical.decEq α
(s.attach.filter fun i : s => f i.1 i.2 ≠ 0).map (Embedding.subtype _)
mem_support_toFun i := by
classical simp
#align finsupp.indicator Finsupp.indicator
theorem indicator_of_mem (hi : i ∈ s) (f : ∀ i ∈ s, α) : indicator s f i = f i hi :=
@dif_pos _ (id _) hi _ _ _
#align finsupp.indicator_of_mem Finsupp.indicator_of_mem
theorem indicator_of_not_mem (hi : i ∉ s) (f : ∀ i ∈ s, α) : indicator s f i = 0 :=
@dif_neg _ (id _) hi _ _ _
#align finsupp.indicator_of_not_mem Finsupp.indicator_of_not_mem
variable (s i)
@[simp]
| Mathlib/Data/Finsupp/Indicator.lean | 54 | 56 | theorem indicator_apply [DecidableEq ι] : indicator s f i = if hi : i ∈ s then f i hi else 0 := by |
simp only [indicator, ne_eq, coe_mk]
congr
|
/-
Copyright (c) 2021 Jireh Loreaux. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jireh Loreaux
-/
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
import Mathlib.Analysis.LocallyConvex.Barrelled
import Mathlib.Topology.Baire.CompleteMetrizable
#align_import analysis.normed_space.banach_steinhaus from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# The Banach-Steinhaus theorem: Uniform Boundedness Principle
Herein we prove the Banach-Steinhaus theorem for normed spaces: any collection of bounded linear
maps from a Banach space into a normed space which is pointwise bounded is uniformly bounded.
Note that we prove the more general version about barrelled spaces in
`Analysis.LocallyConvex.Barrelled`, and the usual version below is indeed deduced from the
more general setup.
-/
open Set
variable {E F 𝕜 𝕜₂ : Type*} [SeminormedAddCommGroup E] [SeminormedAddCommGroup F]
[NontriviallyNormedField 𝕜] [NontriviallyNormedField 𝕜₂] [NormedSpace 𝕜 E] [NormedSpace 𝕜₂ F]
{σ₁₂ : 𝕜 →+* 𝕜₂} [RingHomIsometric σ₁₂]
/-- This is the standard Banach-Steinhaus theorem, or Uniform Boundedness Principle.
If a family of continuous linear maps from a Banach space into a normed space is pointwise
bounded, then the norms of these linear maps are uniformly bounded.
See also `WithSeminorms.banach_steinhaus` for the general statement in barrelled spaces. -/
| Mathlib/Analysis/NormedSpace/BanachSteinhaus.lean | 34 | 38 | theorem banach_steinhaus {ι : Type*} [CompleteSpace E] {g : ι → E →SL[σ₁₂] F}
(h : ∀ x, ∃ C, ∀ i, ‖g i x‖ ≤ C) : ∃ C', ∀ i, ‖g i‖ ≤ C' := by |
rw [show (∃ C, ∀ i, ‖g i‖ ≤ C) ↔ _ from (NormedSpace.equicontinuous_TFAE g).out 5 2]
refine (norm_withSeminorms 𝕜₂ F).banach_steinhaus (fun _ x ↦ ?_)
simpa [bddAbove_def, forall_mem_range] using h x
|
/-
Copyright (c) 2023 Peter Nelson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Peter Nelson
-/
import Mathlib.SetTheory.Cardinal.Finite
#align_import data.set.ncard from "leanprover-community/mathlib"@"74c2af38a828107941029b03839882c5c6f87a04"
/-!
# Noncomputable Set Cardinality
We define the cardinality of set `s` as a term `Set.encard s : ℕ∞` and a term `Set.ncard s : ℕ`.
The latter takes the junk value of zero if `s` is infinite. Both functions are noncomputable, and
are defined in terms of `PartENat.card` (which takes a type as its argument); this file can be seen
as an API for the same function in the special case where the type is a coercion of a `Set`,
allowing for smoother interactions with the `Set` API.
`Set.encard` never takes junk values, so is more mathematically natural than `Set.ncard`, even
though it takes values in a less convenient type. It is probably the right choice in settings where
one is concerned with the cardinalities of sets that may or may not be infinite.
`Set.ncard` has a nicer codomain, but when using it, `Set.Finite` hypotheses are normally needed to
make sure its values are meaningful. More generally, `Set.ncard` is intended to be used over the
obvious alternative `Finset.card` when finiteness is 'propositional' rather than 'structural'.
When working with sets that are finite by virtue of their definition, then `Finset.card` probably
makes more sense. One setting where `Set.ncard` works nicely is in a type `α` with `[Finite α]`,
where every set is automatically finite. In this setting, we use default arguments and a simple
tactic so that finiteness goals are discharged automatically in `Set.ncard` theorems.
## Main Definitions
* `Set.encard s` is the cardinality of the set `s` as an extended natural number, with value `⊤` if
`s` is infinite.
* `Set.ncard s` is the cardinality of the set `s` as a natural number, provided `s` is Finite.
If `s` is Infinite, then `Set.ncard s = 0`.
* `toFinite_tac` is a tactic that tries to synthesize a `Set.Finite s` argument with
`Set.toFinite`. This will work for `s : Set α` where there is a `Finite α` instance.
## Implementation Notes
The theorems in this file are very similar to those in `Data.Finset.Card`, but with `Set` operations
instead of `Finset`. We first prove all the theorems for `Set.encard`, and then derive most of the
`Set.ncard` results as a consequence. Things are done this way to avoid reliance on the `Finset` API
for theorems about infinite sets, and to allow for a refactor that removes or modifies `Set.ncard`
in the future.
Nearly all the theorems for `Set.ncard` require finiteness of one or more of their arguments. We
provide this assumption with a default argument of the form `(hs : s.Finite := by toFinite_tac)`,
where `toFinite_tac` will find an `s.Finite` term in the cases where `s` is a set in a `Finite`
type.
Often, where there are two set arguments `s` and `t`, the finiteness of one follows from the other
in the context of the theorem, in which case we only include the ones that are needed, and derive
the other inside the proof. A few of the theorems, such as `ncard_union_le` do not require
finiteness arguments; they are true by coincidence due to junk values.
-/
namespace Set
variable {α β : Type*} {s t : Set α}
/-- The cardinality of a set as a term in `ℕ∞` -/
noncomputable def encard (s : Set α) : ℕ∞ := PartENat.withTopEquiv (PartENat.card s)
@[simp] theorem encard_univ_coe (s : Set α) : encard (univ : Set s) = encard s := by
rw [encard, encard, PartENat.card_congr (Equiv.Set.univ ↑s)]
theorem encard_univ (α : Type*) :
encard (univ : Set α) = PartENat.withTopEquiv (PartENat.card α) := by
rw [encard, PartENat.card_congr (Equiv.Set.univ α)]
| Mathlib/Data/Set/Card.lean | 73 | 76 | theorem Finite.encard_eq_coe_toFinset_card (h : s.Finite) : s.encard = h.toFinset.card := by |
have := h.fintype
rw [encard, PartENat.card_eq_coe_fintype_card,
PartENat.withTopEquiv_natCast, toFinite_toFinset, toFinset_card]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot
-/
import Mathlib.GroupTheory.GroupAction.ConjAct
import Mathlib.GroupTheory.GroupAction.Quotient
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.Topology.Algebra.Monoid
import Mathlib.Topology.Algebra.Constructions
#align_import topology.algebra.group.basic from "leanprover-community/mathlib"@"3b1890e71632be9e3b2086ab512c3259a7e9a3ef"
/-!
# Topological groups
This file defines the following typeclasses:
* `TopologicalGroup`, `TopologicalAddGroup`: multiplicative and additive topological groups,
i.e., groups with continuous `(*)` and `(⁻¹)` / `(+)` and `(-)`;
* `ContinuousSub G` means that `G` has a continuous subtraction operation.
There is an instance deducing `ContinuousSub` from `TopologicalGroup` but we use a separate
typeclass because, e.g., `ℕ` and `ℝ≥0` have continuous subtraction but are not additive groups.
We also define `Homeomorph` versions of several `Equiv`s: `Homeomorph.mulLeft`,
`Homeomorph.mulRight`, `Homeomorph.inv`, and prove a few facts about neighbourhood filters in
groups.
## Tags
topological space, group, topological group
-/
open scoped Classical
open Set Filter TopologicalSpace Function Topology Pointwise MulOpposite
universe u v w x
variable {G : Type w} {H : Type x} {α : Type u} {β : Type v}
section ContinuousMulGroup
/-!
### Groups with continuous multiplication
In this section we prove a few statements about groups with continuous `(*)`.
-/
variable [TopologicalSpace G] [Group G] [ContinuousMul G]
/-- Multiplication from the left in a topological group as a homeomorphism. -/
@[to_additive "Addition from the left in a topological additive group as a homeomorphism."]
protected def Homeomorph.mulLeft (a : G) : G ≃ₜ G :=
{ Equiv.mulLeft a with
continuous_toFun := continuous_const.mul continuous_id
continuous_invFun := continuous_const.mul continuous_id }
#align homeomorph.mul_left Homeomorph.mulLeft
#align homeomorph.add_left Homeomorph.addLeft
@[to_additive (attr := simp)]
theorem Homeomorph.coe_mulLeft (a : G) : ⇑(Homeomorph.mulLeft a) = (a * ·) :=
rfl
#align homeomorph.coe_mul_left Homeomorph.coe_mulLeft
#align homeomorph.coe_add_left Homeomorph.coe_addLeft
@[to_additive]
theorem Homeomorph.mulLeft_symm (a : G) : (Homeomorph.mulLeft a).symm = Homeomorph.mulLeft a⁻¹ := by
ext
rfl
#align homeomorph.mul_left_symm Homeomorph.mulLeft_symm
#align homeomorph.add_left_symm Homeomorph.addLeft_symm
@[to_additive]
lemma isOpenMap_mul_left (a : G) : IsOpenMap (a * ·) := (Homeomorph.mulLeft a).isOpenMap
#align is_open_map_mul_left isOpenMap_mul_left
#align is_open_map_add_left isOpenMap_add_left
@[to_additive IsOpen.left_addCoset]
theorem IsOpen.leftCoset {U : Set G} (h : IsOpen U) (x : G) : IsOpen (x • U) :=
isOpenMap_mul_left x _ h
#align is_open.left_coset IsOpen.leftCoset
#align is_open.left_add_coset IsOpen.left_addCoset
@[to_additive]
lemma isClosedMap_mul_left (a : G) : IsClosedMap (a * ·) := (Homeomorph.mulLeft a).isClosedMap
#align is_closed_map_mul_left isClosedMap_mul_left
#align is_closed_map_add_left isClosedMap_add_left
@[to_additive IsClosed.left_addCoset]
theorem IsClosed.leftCoset {U : Set G} (h : IsClosed U) (x : G) : IsClosed (x • U) :=
isClosedMap_mul_left x _ h
#align is_closed.left_coset IsClosed.leftCoset
#align is_closed.left_add_coset IsClosed.left_addCoset
/-- Multiplication from the right in a topological group as a homeomorphism. -/
@[to_additive "Addition from the right in a topological additive group as a homeomorphism."]
protected def Homeomorph.mulRight (a : G) : G ≃ₜ G :=
{ Equiv.mulRight a with
continuous_toFun := continuous_id.mul continuous_const
continuous_invFun := continuous_id.mul continuous_const }
#align homeomorph.mul_right Homeomorph.mulRight
#align homeomorph.add_right Homeomorph.addRight
@[to_additive (attr := simp)]
lemma Homeomorph.coe_mulRight (a : G) : ⇑(Homeomorph.mulRight a) = (· * a) := rfl
#align homeomorph.coe_mul_right Homeomorph.coe_mulRight
#align homeomorph.coe_add_right Homeomorph.coe_addRight
@[to_additive]
| Mathlib/Topology/Algebra/Group/Basic.lean | 114 | 117 | theorem Homeomorph.mulRight_symm (a : G) :
(Homeomorph.mulRight a).symm = Homeomorph.mulRight a⁻¹ := by |
ext
rfl
|
/-
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, Floris van Doorn, Mario Carneiro
-/
import Batteries.Tactic.Init
import Batteries.Tactic.Alias
import Batteries.Tactic.Lint.Misc
instance {f : α → β} [DecidablePred p] : DecidablePred (p ∘ f) :=
inferInstanceAs <| DecidablePred fun x => p (f x)
@[deprecated] alias proofIrrel := proof_irrel
/-! ## id -/
theorem Function.id_def : @id α = fun x => x := rfl
/-! ## exists and forall -/
alias ⟨forall_not_of_not_exists, not_exists_of_forall_not⟩ := not_exists
/-! ## decidable -/
protected alias ⟨Decidable.exists_not_of_not_forall, _⟩ := Decidable.not_forall
/-! ## classical logic -/
namespace Classical
alias ⟨exists_not_of_not_forall, _⟩ := not_forall
end Classical
/-! ## equality -/
theorem heq_iff_eq : HEq a b ↔ a = b := ⟨eq_of_heq, heq_of_eq⟩
@[simp] theorem eq_rec_constant {α : Sort _} {a a' : α} {β : Sort _} (y : β) (h : a = a') :
(@Eq.rec α a (fun α _ => β) y a' h) = y := by cases h; rfl
theorem congrArg₂ (f : α → β → γ) {x x' : α} {y y' : β}
(hx : x = x') (hy : y = y') : f x y = f x' y' := by subst hx hy; rfl
theorem congrFun₂ {β : α → Sort _} {γ : ∀ a, β a → Sort _}
{f g : ∀ a b, γ a b} (h : f = g) (a : α) (b : β a) :
f a b = g a b :=
congrFun (congrFun h _) _
theorem congrFun₃ {β : α → Sort _} {γ : ∀ a, β a → Sort _} {δ : ∀ a b, γ a b → Sort _}
{f g : ∀ a b c, δ a b c} (h : f = g) (a : α) (b : β a) (c : γ a b) :
f a b c = g a b c :=
congrFun₂ (congrFun h _) _ _
theorem funext₂ {β : α → Sort _} {γ : ∀ a, β a → Sort _}
{f g : ∀ a b, γ a b} (h : ∀ a b, f a b = g a b) : f = g :=
funext fun _ => funext <| h _
theorem funext₃ {β : α → Sort _} {γ : ∀ a, β a → Sort _} {δ : ∀ a b, γ a b → Sort _}
{f g : ∀ a b c, δ a b c} (h : ∀ a b c, f a b c = g a b c) : f = g :=
funext fun _ => funext₂ <| h _
theorem Function.funext_iff {β : α → Sort u} {f₁ f₂ : ∀ x : α, β x} : f₁ = f₂ ↔ ∀ a, f₁ a = f₂ a :=
⟨congrFun, funext⟩
theorem ne_of_apply_ne {α β : Sort _} (f : α → β) {x y : α} : f x ≠ f y → x ≠ y :=
mt <| congrArg _
protected theorem Eq.congr (h₁ : x₁ = y₁) (h₂ : x₂ = y₂) : x₁ = x₂ ↔ y₁ = y₂ := by
subst h₁; subst h₂; rfl
theorem Eq.congr_left {x y z : α} (h : x = y) : x = z ↔ y = z := by rw [h]
| .lake/packages/batteries/Batteries/Logic.lean | 74 | 74 | theorem Eq.congr_right {x y z : α} (h : x = y) : z = x ↔ z = y := by | rw [h]
|
/-
Copyright (c) 2023 Mark Andrew Gerads. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mark Andrew Gerads, Junyan Xu, Eric Wieser
-/
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Tactic.Ring
#align_import data.nat.hyperoperation from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
/-!
# Hyperoperation sequence
This file defines the Hyperoperation sequence.
`hyperoperation 0 m k = k + 1`
`hyperoperation 1 m k = m + k`
`hyperoperation 2 m k = m * k`
`hyperoperation 3 m k = m ^ k`
`hyperoperation (n + 3) m 0 = 1`
`hyperoperation (n + 1) m (k + 1) = hyperoperation n m (hyperoperation (n + 1) m k)`
## References
* <https://en.wikipedia.org/wiki/Hyperoperation>
## Tags
hyperoperation
-/
/-- Implementation of the hyperoperation sequence
where `hyperoperation n m k` is the `n`th hyperoperation between `m` and `k`.
-/
def hyperoperation : ℕ → ℕ → ℕ → ℕ
| 0, _, k => k + 1
| 1, m, 0 => m
| 2, _, 0 => 0
| _ + 3, _, 0 => 1
| n + 1, m, k + 1 => hyperoperation n m (hyperoperation (n + 1) m k)
#align hyperoperation hyperoperation
-- Basic hyperoperation lemmas
@[simp]
theorem hyperoperation_zero (m : ℕ) : hyperoperation 0 m = Nat.succ :=
funext fun k => by rw [hyperoperation, Nat.succ_eq_add_one]
#align hyperoperation_zero hyperoperation_zero
theorem hyperoperation_ge_three_eq_one (n m : ℕ) : hyperoperation (n + 3) m 0 = 1 := by
rw [hyperoperation]
#align hyperoperation_ge_three_eq_one hyperoperation_ge_three_eq_one
theorem hyperoperation_recursion (n m k : ℕ) :
hyperoperation (n + 1) m (k + 1) = hyperoperation n m (hyperoperation (n + 1) m k) := by
rw [hyperoperation]
#align hyperoperation_recursion hyperoperation_recursion
-- Interesting hyperoperation lemmas
@[simp]
theorem hyperoperation_one : hyperoperation 1 = (· + ·) := by
ext m k
induction' k with bn bih
· rw [Nat.add_zero m, hyperoperation]
· rw [hyperoperation_recursion, bih, hyperoperation_zero]
exact Nat.add_assoc m bn 1
#align hyperoperation_one hyperoperation_one
@[simp]
theorem hyperoperation_two : hyperoperation 2 = (· * ·) := by
ext m k
induction' k with bn bih
· rw [hyperoperation]
exact (Nat.mul_zero m).symm
· rw [hyperoperation_recursion, hyperoperation_one, bih]
-- Porting note: was `ring`
dsimp only
nth_rewrite 1 [← mul_one m]
rw [← mul_add, add_comm]
#align hyperoperation_two hyperoperation_two
@[simp]
theorem hyperoperation_three : hyperoperation 3 = (· ^ ·) := by
ext m k
induction' k with bn bih
· rw [hyperoperation_ge_three_eq_one]
exact (pow_zero m).symm
· rw [hyperoperation_recursion, hyperoperation_two, bih]
exact (pow_succ' m bn).symm
#align hyperoperation_three hyperoperation_three
theorem hyperoperation_ge_two_eq_self (n m : ℕ) : hyperoperation (n + 2) m 1 = m := by
induction' n with nn nih
· rw [hyperoperation_two]
ring
· rw [hyperoperation_recursion, hyperoperation_ge_three_eq_one, nih]
#align hyperoperation_ge_two_eq_self hyperoperation_ge_two_eq_self
theorem hyperoperation_two_two_eq_four (n : ℕ) : hyperoperation (n + 1) 2 2 = 4 := by
induction' n with nn nih
· rw [hyperoperation_one]
· rw [hyperoperation_recursion, hyperoperation_ge_two_eq_self, nih]
#align hyperoperation_two_two_eq_four hyperoperation_two_two_eq_four
| Mathlib/Data/Nat/Hyperoperation.lean | 104 | 113 | theorem hyperoperation_ge_three_one (n : ℕ) : ∀ k : ℕ, hyperoperation (n + 3) 1 k = 1 := by |
induction' n with nn nih
· intro k
rw [hyperoperation_three]
dsimp
rw [one_pow]
· intro k
cases k
· rw [hyperoperation_ge_three_eq_one]
· rw [hyperoperation_recursion, nih]
|
/-
Copyright (c) 2021 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yaël Dillies
-/
import Mathlib.Analysis.Normed.Group.Basic
import Mathlib.Topology.MetricSpace.Thickening
import Mathlib.Topology.MetricSpace.IsometricSMul
#align_import analysis.normed.group.pointwise from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328"
/-!
# Properties of pointwise addition of sets in normed groups
We explore the relationships between pointwise addition of sets in normed groups, and the norm.
Notably, we show that the sum of bounded sets remain bounded.
-/
open Metric Set Pointwise Topology
variable {E : Type*}
section SeminormedGroup
variable [SeminormedGroup E] {ε δ : ℝ} {s t : Set E} {x y : E}
-- note: we can't use `LipschitzOnWith.isBounded_image2` here without adding `[IsometricSMul E E]`
@[to_additive]
theorem Bornology.IsBounded.mul (hs : IsBounded s) (ht : IsBounded t) : IsBounded (s * t) := by
obtain ⟨Rs, hRs⟩ : ∃ R, ∀ x ∈ s, ‖x‖ ≤ R := hs.exists_norm_le'
obtain ⟨Rt, hRt⟩ : ∃ R, ∀ x ∈ t, ‖x‖ ≤ R := ht.exists_norm_le'
refine isBounded_iff_forall_norm_le'.2 ⟨Rs + Rt, ?_⟩
rintro z ⟨x, hx, y, hy, rfl⟩
exact norm_mul_le_of_le (hRs x hx) (hRt y hy)
#align metric.bounded.mul Bornology.IsBounded.mul
#align metric.bounded.add Bornology.IsBounded.add
@[to_additive]
theorem Bornology.IsBounded.of_mul (hst : IsBounded (s * t)) : IsBounded s ∨ IsBounded t :=
AntilipschitzWith.isBounded_of_image2_left _ (fun x => (isometry_mul_right x).antilipschitz) hst
#align metric.bounded.of_mul Bornology.IsBounded.of_mul
#align metric.bounded.of_add Bornology.IsBounded.of_add
@[to_additive]
| Mathlib/Analysis/Normed/Group/Pointwise.lean | 46 | 48 | theorem Bornology.IsBounded.inv : IsBounded s → IsBounded s⁻¹ := by |
simp_rw [isBounded_iff_forall_norm_le', ← image_inv, forall_mem_image, norm_inv']
exact id
|
/-
Copyright (c) 2023 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Order.Filter.CountableInter
/-!
# Filters with countable intersections and countable separating families
In this file we prove some facts about a filter with countable intersections property on a type with
a countable family of sets that separates points of the space. The main use case is the
`MeasureTheory.ae` filter and a space with countably generated σ-algebra but lemmas apply,
e.g., to the `residual` filter and a T₀ topological space with second countable topology.
To avoid repetition of lemmas for different families of separating sets (measurable sets, open sets,
closed sets), all theorems in this file take a predicate `p : Set α → Prop` as an argument and prove
existence of a countable separating family satisfying this predicate by searching for a
`HasCountableSeparatingOn` typeclass instance.
## Main definitions
- `HasCountableSeparatingOn α p t`: a typeclass saying that there exists a countable set family
`S : Set (Set α)` such that all `s ∈ S` satisfy the predicate `p` and any two distinct points
`x y ∈ t`, `x ≠ y`, can be separated by a set `s ∈ S`. For technical reasons, we formulate the
latter property as "for all `x y ∈ t`, if `x ∈ s ↔ y ∈ s` for all `s ∈ S`, then `x = y`".
This typeclass is used in all lemmas in this file to avoid repeating them for open sets, closed
sets, and measurable sets.
### Main results
#### Filters supported on a (sub)singleton
Let `l : Filter α` be a filter with countable intersections property. Let `p : Set α → Prop` be a
property such that there exists a countable family of sets satisfying `p` and separating points of
`α`. Then `l` is supported on a subsingleton: there exists a subsingleton `t` such that
`t ∈ l`.
We formalize various versions of this theorem in
`Filter.exists_subset_subsingleton_mem_of_forall_separating`,
`Filter.exists_mem_singleton_mem_of_mem_of_nonempty_of_forall_separating`,
`Filter.exists_singleton_mem_of_mem_of_forall_separating`,
`Filter.exists_subsingleton_mem_of_forall_separating`, and
`Filter.exists_singleton_mem_of_forall_separating`.
#### Eventually constant functions
Consider a function `f : α → β`, a filter `l` with countable intersections property, and a countable
separating family of sets of `β`. Suppose that for every `U` from the family, either
`∀ᶠ x in l, f x ∈ U` or `∀ᶠ x in l, f x ∉ U`. Then `f` is eventually constant along `l`.
We formalize three versions of this theorem in
`Filter.exists_mem_eventuallyEq_const_of_eventually_mem_of_forall_separating`,
`Filter.exists_eventuallyEq_const_of_eventually_mem_of_forall_separating`, and
`Filer.exists_eventuallyEq_const_of_forall_separating`.
#### Eventually equal functions
Two functions are equal along a filter with countable intersections property if the preimages of all
sets from a countable separating family of sets are equal along the filter.
We formalize several versions of this theorem in
`Filter.of_eventually_mem_of_forall_separating_mem_iff`, `Filter.of_forall_separating_mem_iff`,
`Filter.of_eventually_mem_of_forall_separating_preimage`, and
`Filter.of_forall_separating_preimage`.
## Keywords
filter, countable
-/
set_option autoImplicit true
open Function Set Filter
/-- We say that a type `α` has a *countable separating family of sets* satisfying a predicate
`p : Set α → Prop` on a set `t` if there exists a countable family of sets `S : Set (Set α)` such
that all sets `s ∈ S` satisfy `p` and any two distinct points `x y ∈ t`, `x ≠ y`, can be separated
by `s ∈ S`: there exists `s ∈ S` such that exactly one of `x` and `y` belongs to `s`.
E.g., if `α` is a `T₀` topological space with second countable topology, then it has a countable
separating family of open sets and a countable separating family of closed sets.
-/
class HasCountableSeparatingOn (α : Type*) (p : Set α → Prop) (t : Set α) : Prop where
exists_countable_separating : ∃ S : Set (Set α), S.Countable ∧ (∀ s ∈ S, p s) ∧
∀ x ∈ t, ∀ y ∈ t, (∀ s ∈ S, x ∈ s ↔ y ∈ s) → x = y
theorem exists_countable_separating (α : Type*) (p : Set α → Prop) (t : Set α)
[h : HasCountableSeparatingOn α p t] :
∃ S : Set (Set α), S.Countable ∧ (∀ s ∈ S, p s) ∧
∀ x ∈ t, ∀ y ∈ t, (∀ s ∈ S, x ∈ s ↔ y ∈ s) → x = y :=
h.1
theorem exists_nonempty_countable_separating (α : Type*) {p : Set α → Prop} {s₀} (hp : p s₀)
(t : Set α) [HasCountableSeparatingOn α p t] :
∃ S : Set (Set α), S.Nonempty ∧ S.Countable ∧ (∀ s ∈ S, p s) ∧
∀ x ∈ t, ∀ y ∈ t, (∀ s ∈ S, x ∈ s ↔ y ∈ s) → x = y :=
let ⟨S, hSc, hSp, hSt⟩ := exists_countable_separating α p t
⟨insert s₀ S, insert_nonempty _ _, hSc.insert _, forall_insert_of_forall hSp hp,
fun x hx y hy hxy ↦ hSt x hx y hy <| forall_of_forall_insert hxy⟩
| Mathlib/Order/Filter/CountableSeparatingOn.lean | 103 | 109 | theorem exists_seq_separating (α : Type*) {p : Set α → Prop} {s₀} (hp : p s₀) (t : Set α)
[HasCountableSeparatingOn α p t] :
∃ S : ℕ → Set α, (∀ n, p (S n)) ∧ ∀ x ∈ t, ∀ y ∈ t, (∀ n, x ∈ S n ↔ y ∈ S n) → x = y := by |
rcases exists_nonempty_countable_separating α hp t with ⟨S, hSne, hSc, hS⟩
rcases hSc.exists_eq_range hSne with ⟨S, rfl⟩
use S
simpa only [forall_mem_range] using hS
|
/-
Copyright (c) 2022 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import Mathlib.RingTheory.FiniteType
#align_import ring_theory.rees_algebra from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
/-!
# Rees algebra
The Rees algebra of an ideal `I` is the subalgebra `R[It]` of `R[t]` defined as `R[It] = ⨁ₙ Iⁿ tⁿ`.
This is used to prove the Artin-Rees lemma, and will potentially enable us to calculate some
blowup in the future.
## Main definition
- `reesAlgebra` : The Rees algebra of an ideal `I`, defined as a subalgebra of `R[X]`.
- `adjoin_monomial_eq_reesAlgebra` : The Rees algebra is generated by the degree one elements.
- `reesAlgebra.fg` : The Rees algebra of a f.g. ideal is of finite type. In particular, this
implies that the rees algebra over a noetherian ring is still noetherian.
-/
universe u v
variable {R M : Type u} [CommRing R] [AddCommGroup M] [Module R M] (I : Ideal R)
open Polynomial
open Polynomial
/-- The Rees algebra of an ideal `I`, defined as the subalgebra of `R[X]` whose `i`-th coefficient
falls in `I ^ i`. -/
def reesAlgebra : Subalgebra R R[X] where
carrier := { f | ∀ i, f.coeff i ∈ I ^ i }
mul_mem' hf hg i := by
rw [coeff_mul]
apply Ideal.sum_mem
rintro ⟨j, k⟩ e
rw [← Finset.mem_antidiagonal.mp e, pow_add]
exact Ideal.mul_mem_mul (hf j) (hg k)
one_mem' i := by
rw [coeff_one]
split_ifs with h
· subst h
simp
· simp
add_mem' hf hg i := by
rw [coeff_add]
exact Ideal.add_mem _ (hf i) (hg i)
zero_mem' i := Ideal.zero_mem _
algebraMap_mem' r i := by
rw [algebraMap_apply, coeff_C]
split_ifs with h
· subst h
simp
· simp
#align rees_algebra reesAlgebra
theorem mem_reesAlgebra_iff (f : R[X]) : f ∈ reesAlgebra I ↔ ∀ i, f.coeff i ∈ I ^ i :=
Iff.rfl
#align mem_rees_algebra_iff mem_reesAlgebra_iff
theorem mem_reesAlgebra_iff_support (f : R[X]) :
f ∈ reesAlgebra I ↔ ∀ i ∈ f.support, f.coeff i ∈ I ^ i := by
apply forall_congr'
intro a
rw [mem_support_iff, Iff.comm, Classical.imp_iff_right_iff, Ne, ← imp_iff_not_or]
exact fun e => e.symm ▸ (I ^ a).zero_mem
#align mem_rees_algebra_iff_support mem_reesAlgebra_iff_support
theorem reesAlgebra.monomial_mem {I : Ideal R} {i : ℕ} {r : R} :
monomial i r ∈ reesAlgebra I ↔ r ∈ I ^ i := by
simp (config := { contextual := true }) [mem_reesAlgebra_iff_support, coeff_monomial, ←
imp_iff_not_or]
#align rees_algebra.monomial_mem reesAlgebra.monomial_mem
| Mathlib/RingTheory/ReesAlgebra.lean | 82 | 95 | theorem monomial_mem_adjoin_monomial {I : Ideal R} {n : ℕ} {r : R} (hr : r ∈ I ^ n) :
monomial n r ∈ Algebra.adjoin R (Submodule.map (monomial 1 : R →ₗ[R] R[X]) I : Set R[X]) := by |
induction' n with n hn generalizing r
· exact Subalgebra.algebraMap_mem _ _
· rw [pow_succ'] at hr
apply Submodule.smul_induction_on
-- Porting note: did not need help with motive previously
(p := fun r => (monomial (Nat.succ n)) r ∈ Algebra.adjoin R (Submodule.map (monomial 1) I)) hr
· intro r hr s hs
rw [Nat.succ_eq_one_add, smul_eq_mul, ← monomial_mul_monomial]
exact Subalgebra.mul_mem _ (Algebra.subset_adjoin (Set.mem_image_of_mem _ hr)) (hn hs)
· intro x y hx hy
rw [monomial_add]
exact Subalgebra.add_mem _ hx hy
|
/-
Copyright (c) 2022 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yury Kudryashov
-/
import Mathlib.Order.ConditionallyCompleteLattice.Basic
#align_import order.monotone.extension from "leanprover-community/mathlib"@"422e70f7ce183d2900c586a8cda8381e788a0c62"
/-!
# Extension of a monotone function from a set to the whole space
In this file we prove that if a function is monotone and is bounded on a set `s`, then it admits a
monotone extension to the whole space.
-/
open Set
variable {α β : Type*} [LinearOrder α] [ConditionallyCompleteLinearOrder β] {f : α → β} {s : Set α}
{a b : α}
/-- If a function is monotone and is bounded on a set `s`, then it admits a monotone extension to
the whole space. -/
| Mathlib/Order/Monotone/Extension.lean | 25 | 48 | theorem MonotoneOn.exists_monotone_extension (h : MonotoneOn f s) (hl : BddBelow (f '' s))
(hu : BddAbove (f '' s)) : ∃ g : α → β, Monotone g ∧ EqOn f g s := by |
classical
/- The extension is defined by `f x = f a` for `x ≤ a`, and `f x` is the supremum of the values
of `f` to the left of `x` for `x ≥ a`. -/
rcases hl with ⟨a, ha⟩
have hu' : ∀ x, BddAbove (f '' (Iic x ∩ s)) := fun x =>
hu.mono (image_subset _ inter_subset_right)
let g : α → β := fun x => if Disjoint (Iic x) s then a else sSup (f '' (Iic x ∩ s))
have hgs : EqOn f g s := by
intro x hx
simp only [g]
have : IsGreatest (Iic x ∩ s) x := ⟨⟨right_mem_Iic, hx⟩, fun y hy => hy.1⟩
rw [if_neg this.nonempty.not_disjoint,
((h.mono inter_subset_right).map_isGreatest this).csSup_eq]
refine ⟨g, fun x y hxy => ?_, hgs⟩
by_cases hx : Disjoint (Iic x) s <;> by_cases hy : Disjoint (Iic y) s <;>
simp only [g, if_pos, if_neg, not_false_iff, *, refl]
· rcases not_disjoint_iff_nonempty_inter.1 hy with ⟨z, hz⟩
exact le_csSup_of_le (hu' _) (mem_image_of_mem _ hz) (ha <| mem_image_of_mem _ hz.2)
· exact (hx <| hy.mono_left <| Iic_subset_Iic.2 hxy).elim
· rw [not_disjoint_iff_nonempty_inter] at hx hy
refine csSup_le_csSup (hu' _) (hx.image _) (image_subset _ ?_)
exact inter_subset_inter_left _ (Iic_subset_Iic.2 hxy)
|
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yury Kudryashov
-/
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Topology.Algebra.InfiniteSum.Order
import Mathlib.Topology.Instances.Real
import Mathlib.Topology.Instances.ENNReal
#align_import topology.algebra.infinite_sum.real from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd"
/-!
# Infinite sum in the reals
This file provides lemmas about Cauchy sequences in terms of infinite sums and infinite sums valued
in the reals.
-/
open Filter Finset NNReal Topology
variable {α β : Type*} [PseudoMetricSpace α] {f : ℕ → α} {a : α}
/-- If the distance between consecutive points of a sequence is estimated by a summable series,
then the original sequence is a Cauchy sequence. -/
| Mathlib/Topology/Algebra/InfiniteSum/Real.lean | 26 | 31 | theorem cauchySeq_of_dist_le_of_summable (d : ℕ → ℝ) (hf : ∀ n, dist (f n) (f n.succ) ≤ d n)
(hd : Summable d) : CauchySeq f := by |
lift d to ℕ → ℝ≥0 using fun n ↦ dist_nonneg.trans (hf n)
apply cauchySeq_of_edist_le_of_summable d (α := α) (f := f)
· exact_mod_cast hf
· exact_mod_cast hd
|
/-
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.Topology.Algebra.UniformConvergence
#align_import topology.algebra.module.strong_topology from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95"
/-!
# Strong topologies on the space of continuous linear maps
In this file, we define the strong topologies on `E →L[𝕜] F` associated with a family
`𝔖 : Set (Set E)` to be the topology of uniform convergence on the elements of `𝔖` (also called
the topology of `𝔖`-convergence).
The lemma `UniformOnFun.continuousSMul_of_image_bounded` tells us that this is a
vector space topology if the continuous linear image of any element of `𝔖` is bounded (in the sense
of `Bornology.IsVonNBounded`).
We then declare an instance for the case where `𝔖` is exactly the set of all bounded subsets of
`E`, giving us the so-called "topology of uniform convergence on bounded sets" (or "topology of
bounded convergence"), which coincides with the operator norm topology in the case of
`NormedSpace`s.
Other useful examples include the weak-* topology (when `𝔖` is the set of finite sets or the set
of singletons) and the topology of compact convergence (when `𝔖` is the set of relatively compact
sets).
## Main definitions
* `UniformConvergenceCLM` is a type synonym for `E →SL[σ] F` equipped with the `𝔖`-topology.
* `UniformConvergenceCLM.instTopologicalSpace` is the topology mentioned above for an arbitrary `𝔖`.
* `ContinuousLinearMap.topologicalSpace` is the topology of bounded convergence. This is
declared as an instance.
## Main statements
* `UniformConvergenceCLM.instTopologicalAddGroup` and
`UniformConvergenceCLM.instContinuousSMul` show that the strong topology
makes `E →L[𝕜] F` a topological vector space, with the assumptions on `𝔖` mentioned above.
* `ContinuousLinearMap.topologicalAddGroup` and
`ContinuousLinearMap.continuousSMul` register these facts as instances for the special
case of bounded convergence.
## References
* [N. Bourbaki, *Topological Vector Spaces*][bourbaki1987]
## TODO
* Add convergence on compact subsets
## Tags
uniform convergence, bounded convergence
-/
open scoped Topology UniformConvergence
section General
/-! ### 𝔖-Topologies -/
variable {𝕜₁ 𝕜₂ : Type*} [NormedField 𝕜₁] [NormedField 𝕜₂] (σ : 𝕜₁ →+* 𝕜₂) {E E' F F' : Type*}
[AddCommGroup E] [Module 𝕜₁ E] [AddCommGroup E'] [Module ℝ E'] [AddCommGroup F] [Module 𝕜₂ F]
[AddCommGroup F'] [Module ℝ F'] [TopologicalSpace E] [TopologicalSpace E'] (F)
/-- Given `E` and `F` two topological vector spaces and `𝔖 : Set (Set E)`, then
`UniformConvergenceCLM σ F 𝔖` is a type synonym of `E →SL[σ] F` equipped with the "topology of
uniform convergence on the elements of `𝔖`".
If the continuous linear image of any element of `𝔖` is bounded, this makes `E →SL[σ] F` a
topological vector space. -/
@[nolint unusedArguments]
def UniformConvergenceCLM [TopologicalSpace F] [TopologicalAddGroup F] (_ : Set (Set E)) :=
E →SL[σ] F
namespace UniformConvergenceCLM
instance instFunLike [TopologicalSpace F] [TopologicalAddGroup F]
(𝔖 : Set (Set E)) : FunLike (UniformConvergenceCLM σ F 𝔖) E F :=
ContinuousLinearMap.funLike
instance instContinuousSemilinearMapClass [TopologicalSpace F] [TopologicalAddGroup F]
(𝔖 : Set (Set E)) : ContinuousSemilinearMapClass (UniformConvergenceCLM σ F 𝔖) σ E F :=
ContinuousLinearMap.continuousSemilinearMapClass
instance instTopologicalSpace [TopologicalSpace F] [TopologicalAddGroup F] (𝔖 : Set (Set E)) :
TopologicalSpace (UniformConvergenceCLM σ F 𝔖) :=
(@UniformOnFun.topologicalSpace E F (TopologicalAddGroup.toUniformSpace F) 𝔖).induced
(DFunLike.coe : (UniformConvergenceCLM σ F 𝔖) → (E →ᵤ[𝔖] F))
#align continuous_linear_map.strong_topology UniformConvergenceCLM.instTopologicalSpace
theorem topologicalSpace_eq [UniformSpace F] [UniformAddGroup F] (𝔖 : Set (Set E)) :
instTopologicalSpace σ F 𝔖 = TopologicalSpace.induced DFunLike.coe
(UniformOnFun.topologicalSpace E F 𝔖) := by
rw [instTopologicalSpace]
congr
exact UniformAddGroup.toUniformSpace_eq
/-- The uniform structure associated with `ContinuousLinearMap.strongTopology`. We make sure
that this has nice definitional properties. -/
instance instUniformSpace [UniformSpace F] [UniformAddGroup F]
(𝔖 : Set (Set E)) : UniformSpace (UniformConvergenceCLM σ F 𝔖) :=
UniformSpace.replaceTopology
((UniformOnFun.uniformSpace E F 𝔖).comap
(DFunLike.coe : (UniformConvergenceCLM σ F 𝔖) → (E →ᵤ[𝔖] F)))
(by rw [UniformConvergenceCLM.instTopologicalSpace, UniformAddGroup.toUniformSpace_eq]; rfl)
#align continuous_linear_map.strong_uniformity UniformConvergenceCLM.instUniformSpace
| Mathlib/Topology/Algebra/Module/StrongTopology.lean | 113 | 115 | theorem uniformSpace_eq [UniformSpace F] [UniformAddGroup F] (𝔖 : Set (Set E)) :
instUniformSpace σ F 𝔖 = UniformSpace.comap DFunLike.coe (UniformOnFun.uniformSpace E F 𝔖) := by |
rw [instUniformSpace, UniformSpace.replaceTopology_eq]
|
/-
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.Algebra.Order.Monoid.Unbundled.MinMax
import Mathlib.Algebra.Order.Monoid.WithTop
import Mathlib.Data.Finset.Image
import Mathlib.Data.Multiset.Fold
#align_import data.finset.fold from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
/-!
# The fold operation for a commutative associative operation over a finset.
-/
-- TODO:
-- assert_not_exists OrderedCommMonoid
assert_not_exists MonoidWithZero
namespace Finset
open Multiset
variable {α β γ : Type*}
/-! ### fold -/
section Fold
variable (op : β → β → β) [hc : Std.Commutative op] [ha : Std.Associative op]
local notation a " * " b => op a b
/-- `fold op b f s` folds the commutative associative operation `op` over the
`f`-image of `s`, i.e. `fold (+) b f {1,2,3} = f 1 + f 2 + f 3 + b`. -/
def fold (b : β) (f : α → β) (s : Finset α) : β :=
(s.1.map f).fold op b
#align finset.fold Finset.fold
variable {op} {f : α → β} {b : β} {s : Finset α} {a : α}
@[simp]
theorem fold_empty : (∅ : Finset α).fold op b f = b :=
rfl
#align finset.fold_empty Finset.fold_empty
@[simp]
theorem fold_cons (h : a ∉ s) : (cons a s h).fold op b f = f a * s.fold op b f := by
dsimp only [fold]
rw [cons_val, Multiset.map_cons, fold_cons_left]
#align finset.fold_cons Finset.fold_cons
@[simp]
theorem fold_insert [DecidableEq α] (h : a ∉ s) :
(insert a s).fold op b f = f a * s.fold op b f := by
unfold fold
rw [insert_val, ndinsert_of_not_mem h, Multiset.map_cons, fold_cons_left]
#align finset.fold_insert Finset.fold_insert
@[simp]
theorem fold_singleton : ({a} : Finset α).fold op b f = f a * b :=
rfl
#align finset.fold_singleton Finset.fold_singleton
@[simp]
theorem fold_map {g : γ ↪ α} {s : Finset γ} : (s.map g).fold op b f = s.fold op b (f ∘ g) := by
simp only [fold, map, Multiset.map_map]
#align finset.fold_map Finset.fold_map
@[simp]
theorem fold_image [DecidableEq α] {g : γ → α} {s : Finset γ}
(H : ∀ x ∈ s, ∀ y ∈ s, g x = g y → x = y) : (s.image g).fold op b f = s.fold op b (f ∘ g) := by
simp only [fold, image_val_of_injOn H, Multiset.map_map]
#align finset.fold_image Finset.fold_image
@[congr]
theorem fold_congr {g : α → β} (H : ∀ x ∈ s, f x = g x) : s.fold op b f = s.fold op b g := by
rw [fold, fold, map_congr rfl H]
#align finset.fold_congr Finset.fold_congr
theorem fold_op_distrib {f g : α → β} {b₁ b₂ : β} :
(s.fold op (b₁ * b₂) fun x => f x * g x) = s.fold op b₁ f * s.fold op b₂ g := by
simp only [fold, fold_distrib]
#align finset.fold_op_distrib Finset.fold_op_distrib
theorem fold_const [hd : Decidable (s = ∅)] (c : β) (h : op c (op b c) = op b c) :
Finset.fold op b (fun _ => c) s = if s = ∅ then b else op b c := by
classical
induction' s using Finset.induction_on with x s hx IH generalizing hd
· simp
· simp only [Finset.fold_insert hx, IH, if_false, Finset.insert_ne_empty]
split_ifs
· rw [hc.comm]
· exact h
#align finset.fold_const Finset.fold_const
theorem fold_hom {op' : γ → γ → γ} [Std.Commutative op'] [Std.Associative op'] {m : β → γ}
(hm : ∀ x y, m (op x y) = op' (m x) (m y)) :
(s.fold op' (m b) fun x => m (f x)) = m (s.fold op b f) := by
rw [fold, fold, ← Multiset.fold_hom op hm, Multiset.map_map]
simp only [Function.comp_apply]
#align finset.fold_hom Finset.fold_hom
theorem fold_disjUnion {s₁ s₂ : Finset α} {b₁ b₂ : β} (h) :
(s₁.disjUnion s₂ h).fold op (b₁ * b₂) f = s₁.fold op b₁ f * s₂.fold op b₂ f :=
(congr_arg _ <| Multiset.map_add _ _ _).trans (Multiset.fold_add _ _ _ _ _)
#align finset.fold_disj_union Finset.fold_disjUnion
theorem fold_disjiUnion {ι : Type*} {s : Finset ι} {t : ι → Finset α} {b : ι → β} {b₀ : β} (h) :
(s.disjiUnion t h).fold op (s.fold op b₀ b) f = s.fold op b₀ fun i => (t i).fold op (b i) f :=
(congr_arg _ <| Multiset.map_bind _ _ _).trans (Multiset.fold_bind _ _ _ _ _)
#align finset.fold_disj_Union Finset.fold_disjiUnion
theorem fold_union_inter [DecidableEq α] {s₁ s₂ : Finset α} {b₁ b₂ : β} :
((s₁ ∪ s₂).fold op b₁ f * (s₁ ∩ s₂).fold op b₂ f) = s₁.fold op b₂ f * s₂.fold op b₁ f := by
unfold fold
rw [← fold_add op, ← Multiset.map_add, union_val, inter_val, union_add_inter, Multiset.map_add,
hc.comm, fold_add]
#align finset.fold_union_inter Finset.fold_union_inter
@[simp]
| Mathlib/Data/Finset/Fold.lean | 124 | 129 | theorem fold_insert_idem [DecidableEq α] [hi : Std.IdempotentOp op] :
(insert a s).fold op b f = f a * s.fold op b f := by |
by_cases h : a ∈ s
· rw [← insert_erase h]
simp [← ha.assoc, hi.idempotent]
· apply fold_insert h
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne, Benjamin Davidson
-/
import Mathlib.Analysis.SpecialFunctions.Complex.Arg
import Mathlib.Analysis.SpecialFunctions.Log.Basic
#align_import analysis.special_functions.complex.log from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# The complex `log` function
Basic properties, relationship with `exp`.
-/
noncomputable section
namespace Complex
open Set Filter Bornology
open scoped Real Topology ComplexConjugate
/-- Inverse of the `exp` function. Returns values such that `(log x).im > - π` and `(log x).im ≤ π`.
`log 0 = 0`-/
-- Porting note: @[pp_nodot] does not exist in mathlib4
noncomputable def log (x : ℂ) : ℂ :=
x.abs.log + arg x * I
#align complex.log Complex.log
theorem log_re (x : ℂ) : x.log.re = x.abs.log := by simp [log]
#align complex.log_re Complex.log_re
theorem log_im (x : ℂ) : x.log.im = x.arg := by simp [log]
#align complex.log_im Complex.log_im
theorem neg_pi_lt_log_im (x : ℂ) : -π < (log x).im := by simp only [log_im, neg_pi_lt_arg]
#align complex.neg_pi_lt_log_im Complex.neg_pi_lt_log_im
theorem log_im_le_pi (x : ℂ) : (log x).im ≤ π := by simp only [log_im, arg_le_pi]
#align complex.log_im_le_pi Complex.log_im_le_pi
| Mathlib/Analysis/SpecialFunctions/Complex/Log.lean | 45 | 49 | theorem exp_log {x : ℂ} (hx : x ≠ 0) : exp (log x) = x := by |
rw [log, exp_add_mul_I, ← ofReal_sin, sin_arg, ← ofReal_cos, cos_arg hx, ← ofReal_exp,
Real.exp_log (abs.pos hx), mul_add, ofReal_div, ofReal_div,
mul_div_cancel₀ _ (ofReal_ne_zero.2 <| abs.ne_zero hx), ← mul_assoc,
mul_div_cancel₀ _ (ofReal_ne_zero.2 <| abs.ne_zero hx), re_add_im]
|
/-
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]
| Mathlib/GroupTheory/Perm/Cycle/Factors.lean | 65 | 70 | 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⟩
|
/-
Copyright (c) 2024 Thomas Browning. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Thomas Browning
-/
import Mathlib.GroupTheory.Perm.Cycle.Type
import Mathlib.Algebra.GroupPower.IterateHom
import Mathlib.GroupTheory.OrderOfElement
/-!
# Fixed-point-free automorphisms
This file defines fixed-point-free automorphisms and proves some basic properties.
An automorphism `φ` of a group `G` is fixed-point-free if `1 : G` is the only fixed point of `φ`.
-/
namespace MonoidHom
variable {G : Type*}
section Definitions
variable (φ : G → G)
/-- A function `φ : G → G` is fixed-point-free if `1 : G` is the only fixed point of `φ`. -/
def FixedPointFree [One G] := ∀ g, φ g = g → g = 1
/-- The commutator map `g ↦ g / φ g`. If `φ g = h * g * h⁻¹`, then `g / φ g` is exactly the
commutator `[g, h] = g * h * g⁻¹ * h⁻¹`. -/
def commutatorMap [Div G] (g : G) := g / φ g
@[simp] theorem commutatorMap_apply [Div G] (g : G) : commutatorMap φ g = g / φ g := rfl
end Definitions
namespace FixedPointFree
-- todo: refactor Mathlib/Algebra/GroupPower/IterateHom to generalize φ to MonoidHomClass
variable [Group G] {φ : G →* G} (hφ : FixedPointFree φ)
theorem commutatorMap_injective : Function.Injective (commutatorMap φ) := by
refine fun x y h ↦ inv_mul_eq_one.mp <| hφ _ ?_
rwa [map_mul, map_inv, eq_inv_mul_iff_mul_eq, ← mul_assoc, ← eq_div_iff_mul_eq', ← division_def]
variable [Finite G]
theorem commutatorMap_surjective : Function.Surjective (commutatorMap φ) :=
Finite.surjective_of_injective hφ.commutatorMap_injective
theorem prod_pow_eq_one {n : ℕ} (hn : φ^[n] = _root_.id) (g : G) :
((List.range n).map (fun k ↦ φ^[k] g)).prod = 1 := by
obtain ⟨g, rfl⟩ := commutatorMap_surjective hφ g
simp only [commutatorMap_apply, iterate_map_div, ← Function.iterate_succ_apply]
rw [List.prod_range_div', Function.iterate_zero_apply, hn, Function.id_def, div_self']
theorem coe_eq_inv_of_sq_eq_one (h2 : φ^[2] = _root_.id) : ⇑φ = (·⁻¹) := by
ext g
have key : 1 * g * φ g = 1 := hφ.prod_pow_eq_one h2 g
rwa [one_mul, ← inv_eq_iff_mul_eq_one, eq_comm] at key
section Involutive
variable (h2 : Function.Involutive φ)
theorem coe_eq_inv_of_involutive : ⇑φ = (·⁻¹) :=
coe_eq_inv_of_sq_eq_one hφ (funext h2)
theorem commute_all_of_involutive (g h : G) : Commute g h := by
have key := map_mul φ g h
rwa [hφ.coe_eq_inv_of_involutive h2, inv_eq_iff_eq_inv, mul_inv_rev, inv_inv, inv_inv] at key
/-- If a finite group admits a fixed-point-free involution, then it is commutative. -/
def commGroupOfInvolutive : CommGroup G := .mk (hφ.commute_all_of_involutive h2)
theorem orderOf_ne_two_of_involutive (g : G) : orderOf g ≠ 2 := by
intro hg
have key : φ g = g := by
rw [hφ.coe_eq_inv_of_involutive h2, inv_eq_iff_mul_eq_one, ← sq, ← hg, pow_orderOf_eq_one]
rw [hφ g key, orderOf_one] at hg
contradiction
| Mathlib/GroupTheory/FixedPointFree.lean | 83 | 88 | theorem odd_card_of_involutive : Odd (Nat.card G) := by |
have := Fintype.ofFinite G
by_contra h
rw [← Nat.even_iff_not_odd, even_iff_two_dvd, Nat.card_eq_fintype_card] at h
obtain ⟨g, hg⟩ := exists_prime_orderOf_dvd_card 2 h
exact hφ.orderOf_ne_two_of_involutive h2 g hg
|
/-
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.MeasureTheory.Measure.MeasureSpaceDef
#align_import measure_theory.measure.ae_disjoint from "leanprover-community/mathlib"@"bc7d81beddb3d6c66f71449c5bc76c38cb77cf9e"
/-!
# Almost everywhere disjoint sets
We say that sets `s` and `t` are `μ`-a.e. disjoint (see `MeasureTheory.AEDisjoint`) if their
intersection has measure zero. This assumption can be used instead of `Disjoint` in most theorems in
measure theory.
-/
open Set Function
namespace MeasureTheory
variable {ι α : Type*} {m : MeasurableSpace α} (μ : Measure α)
/-- Two sets are said to be `μ`-a.e. disjoint if their intersection has measure zero. -/
def AEDisjoint (s t : Set α) :=
μ (s ∩ t) = 0
#align measure_theory.ae_disjoint MeasureTheory.AEDisjoint
variable {μ} {s t u v : Set α}
/-- If `s : ι → Set α` is a countable family of pairwise a.e. disjoint sets, then there exists a
family of measurable null sets `t i` such that `s i \ t i` are pairwise disjoint. -/
| Mathlib/MeasureTheory/Measure/AEDisjoint.lean | 34 | 46 | theorem exists_null_pairwise_disjoint_diff [Countable ι] {s : ι → Set α}
(hd : Pairwise (AEDisjoint μ on s)) : ∃ t : ι → Set α, (∀ i, MeasurableSet (t i)) ∧
(∀ i, μ (t i) = 0) ∧ Pairwise (Disjoint on fun i => s i \ t i) := by |
refine ⟨fun i => toMeasurable μ (s i ∩ ⋃ j ∈ ({i}ᶜ : Set ι), s j), fun i =>
measurableSet_toMeasurable _ _, fun i => ?_, ?_⟩
· simp only [measure_toMeasurable, inter_iUnion]
exact (measure_biUnion_null_iff <| to_countable _).2 fun j hj => hd (Ne.symm hj)
· simp only [Pairwise, disjoint_left, onFun, mem_diff, not_and, and_imp, Classical.not_not]
intro i j hne x hi hU hj
replace hU : x ∉ s i ∩ iUnion fun j ↦ iUnion fun _ ↦ s j :=
fun h ↦ hU (subset_toMeasurable _ _ h)
simp only [mem_inter_iff, mem_iUnion, not_and, not_exists] at hU
exact (hU hi j hne.symm hj).elim
|
/-
Copyright (c) 2020 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.Algebra.Associated
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.Algebra.Order.Group.Abs
import Mathlib.Algebra.Ring.Divisibility.Basic
#align_import ring_theory.prime from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab"
/-!
# Prime elements in rings
This file contains lemmas about prime elements of commutative rings.
-/
section CancelCommMonoidWithZero
variable {R : Type*} [CancelCommMonoidWithZero R]
open Finset
/-- If `x * y = a * ∏ i ∈ s, p i` where `p i` is always prime, then
`x` and `y` can both be written as a divisor of `a` multiplied by
a product over a subset of `s` -/
theorem mul_eq_mul_prime_prod {α : Type*} [DecidableEq α] {x y a : R} {s : Finset α} {p : α → R}
(hp : ∀ i ∈ s, Prime (p i)) (hx : x * y = a * ∏ i ∈ s, p i) :
∃ (t u : Finset α) (b c : R),
t ∪ u = s ∧ Disjoint t u ∧ a = b * c ∧ (x = b * ∏ i ∈ t, p i) ∧ y = c * ∏ i ∈ u, p i := by
induction' s using Finset.induction with i s his ih generalizing x y a
· exact ⟨∅, ∅, x, y, by simp [hx]⟩
· rw [prod_insert his, ← mul_assoc] at hx
have hpi : Prime (p i) := hp i (mem_insert_self _ _)
rcases ih (fun i hi ↦ hp i (mem_insert_of_mem hi)) hx with
⟨t, u, b, c, htus, htu, hbc, rfl, rfl⟩
have hit : i ∉ t := fun hit ↦ his (htus ▸ mem_union_left _ hit)
have hiu : i ∉ u := fun hiu ↦ his (htus ▸ mem_union_right _ hiu)
obtain ⟨d, rfl⟩ | ⟨d, rfl⟩ : p i ∣ b ∨ p i ∣ c := hpi.dvd_or_dvd ⟨a, by rw [← hbc, mul_comm]⟩
· rw [mul_assoc, mul_comm a, mul_right_inj' hpi.ne_zero] at hbc
exact ⟨insert i t, u, d, c, by rw [insert_union, htus], disjoint_insert_left.2 ⟨hiu, htu⟩, by
simp [hbc, prod_insert hit, mul_assoc, mul_comm, mul_left_comm]⟩
· rw [← mul_assoc, mul_right_comm b, mul_left_inj' hpi.ne_zero] at hbc
exact ⟨t, insert i u, b, d, by rw [union_insert, htus], disjoint_insert_right.2 ⟨hit, htu⟩, by
simp [← hbc, prod_insert hiu, mul_assoc, mul_comm, mul_left_comm]⟩
#align mul_eq_mul_prime_prod mul_eq_mul_prime_prod
/-- If `x * y = a * p ^ n` where `p` is prime, then `x` and `y` can both be written
as the product of a power of `p` and a divisor of `a`. -/
| Mathlib/RingTheory/Prime.lean | 51 | 56 | theorem mul_eq_mul_prime_pow {x y a p : R} {n : ℕ} (hp : Prime p) (hx : x * y = a * p ^ n) :
∃ (i j : ℕ) (b c : R), i + j = n ∧ a = b * c ∧ x = b * p ^ i ∧ y = c * p ^ j := by |
rcases mul_eq_mul_prime_prod (fun _ _ ↦ hp)
(show x * y = a * (range n).prod fun _ ↦ p by simpa) with
⟨t, u, b, c, htus, htu, rfl, rfl, rfl⟩
exact ⟨t.card, u.card, b, c, by rw [← card_union_of_disjoint htu, htus, card_range], by simp⟩
|
/-
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.Grothendieck
import Mathlib.CategoryTheory.Sites.Pretopology
import Mathlib.CategoryTheory.Limits.Lattice
import Mathlib.Topology.Sets.Opens
#align_import category_theory.sites.spaces from "leanprover-community/mathlib"@"b6fa3beb29f035598cf0434d919694c5e98091eb"
/-!
# Grothendieck topology on a topological space
Define the Grothendieck topology and the pretopology associated to a topological space, and show
that the pretopology induces the topology.
The covering (pre)sieves on `X` are those for which the union of domains contains `X`.
## Tags
site, Grothendieck topology, space
## References
* [nLab, *Grothendieck topology*](https://ncatlab.org/nlab/show/Grothendieck+topology)
* [S. MacLane, I. Moerdijk, *Sheaves in Geometry and Logic*][MM92]
## Implementation notes
We define the two separately, rather than defining the Grothendieck topology as that generated
by the pretopology for the purpose of having nice definitional properties for the sieves.
-/
universe u
namespace Opens
variable (T : Type u) [TopologicalSpace T]
open CategoryTheory TopologicalSpace CategoryTheory.Limits
/-- The Grothendieck topology associated to a topological space. -/
def grothendieckTopology : GrothendieckTopology (Opens T) where
sieves X S := ∀ x ∈ X, ∃ (U : _) (f : U ⟶ X), S f ∧ x ∈ U
top_mem' X x hx := ⟨_, 𝟙 _, trivial, hx⟩
pullback_stable' X Y S f hf y hy := by
rcases hf y (f.le hy) with ⟨U, g, hg, hU⟩
refine ⟨U ⊓ Y, homOfLE inf_le_right, ?_, hU, hy⟩
apply S.downward_closed hg (homOfLE inf_le_left)
transitive' X S hS R hR x hx := by
rcases hS x hx with ⟨U, f, hf, hU⟩
rcases hR hf _ hU with ⟨V, g, hg, hV⟩
exact ⟨_, g ≫ f, hg, hV⟩
#align opens.grothendieck_topology Opens.grothendieckTopology
/-- The Grothendieck pretopology associated to a topological space. -/
def pretopology : Pretopology (Opens T) where
coverings X R := ∀ x ∈ X, ∃ (U : _) (f : U ⟶ X), R f ∧ x ∈ U
has_isos X Y f i x hx := ⟨_, _, Presieve.singleton_self _, (inv f).le hx⟩
pullbacks X Y f S hS x hx := by
rcases hS _ (f.le hx) with ⟨U, g, hg, hU⟩
refine ⟨_, _, Presieve.pullbackArrows.mk _ _ hg, ?_⟩
have : U ⊓ Y ≤ pullback g f :=
leOfHom (pullback.lift (homOfLE inf_le_left) (homOfLE inf_le_right) rfl)
apply this ⟨hU, hx⟩
transitive X S Ti hS hTi x hx := by
rcases hS x hx with ⟨U, f, hf, hU⟩
rcases hTi f hf x hU with ⟨V, g, hg, hV⟩
exact ⟨_, _, ⟨_, g, f, hf, hg, rfl⟩, hV⟩
#align opens.pretopology Opens.pretopology
/-- The pretopology associated to a space is the largest pretopology that
generates the Grothendieck topology associated to the space. -/
@[simp]
| Mathlib/CategoryTheory/Sites/Spaces.lean | 78 | 86 | theorem pretopology_ofGrothendieck :
Pretopology.ofGrothendieck _ (Opens.grothendieckTopology T) = Opens.pretopology T := by |
apply le_antisymm
· intro X R hR x hx
rcases hR x hx with ⟨U, f, ⟨V, g₁, g₂, hg₂, _⟩, hU⟩
exact ⟨V, g₂, hg₂, g₁.le hU⟩
· intro X R hR x hx
rcases hR x hx with ⟨U, f, hf, hU⟩
exact ⟨U, f, Sieve.le_generate R U hf, hU⟩
|
/-
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.PiL2
import Mathlib.LinearAlgebra.Matrix.ZPow
#align_import linear_algebra.matrix.hermitian from "leanprover-community/mathlib"@"caa58cbf5bfb7f81ccbaca4e8b8ac4bc2b39cc1c"
/-! # Hermitian matrices
This file defines hermitian matrices and some basic results about them.
See also `IsSelfAdjoint`, which generalizes this definition to other star rings.
## Main definition
* `Matrix.IsHermitian` : a matrix `A : Matrix n n α` is hermitian if `Aᴴ = A`.
## Tags
self-adjoint matrix, hermitian matrix
-/
namespace Matrix
variable {α β : Type*} {m n : Type*} {A : Matrix n n α}
open scoped Matrix
local notation "⟪" x ", " y "⟫" => @inner α _ _ x y
section Star
variable [Star α] [Star β]
/-- A matrix is hermitian if it is equal to its conjugate transpose. On the reals, this definition
captures symmetric matrices. -/
def IsHermitian (A : Matrix n n α) : Prop := Aᴴ = A
#align matrix.is_hermitian Matrix.IsHermitian
instance (A : Matrix n n α) [Decidable (Aᴴ = A)] : Decidable (IsHermitian A) :=
inferInstanceAs <| Decidable (_ = _)
theorem IsHermitian.eq {A : Matrix n n α} (h : A.IsHermitian) : Aᴴ = A := h
#align matrix.is_hermitian.eq Matrix.IsHermitian.eq
protected theorem IsHermitian.isSelfAdjoint {A : Matrix n n α} (h : A.IsHermitian) :
IsSelfAdjoint A := h
#align matrix.is_hermitian.is_self_adjoint Matrix.IsHermitian.isSelfAdjoint
-- @[ext] -- Porting note: incorrect ext, not a structure or a lemma proving x = y
theorem IsHermitian.ext {A : Matrix n n α} : (∀ i j, star (A j i) = A i j) → A.IsHermitian := by
intro h; ext i j; exact h i j
#align matrix.is_hermitian.ext Matrix.IsHermitian.ext
theorem IsHermitian.apply {A : Matrix n n α} (h : A.IsHermitian) (i j : n) : star (A j i) = A i j :=
congr_fun (congr_fun h _) _
#align matrix.is_hermitian.apply Matrix.IsHermitian.apply
theorem IsHermitian.ext_iff {A : Matrix n n α} : A.IsHermitian ↔ ∀ i j, star (A j i) = A i j :=
⟨IsHermitian.apply, IsHermitian.ext⟩
#align matrix.is_hermitian.ext_iff Matrix.IsHermitian.ext_iff
@[simp]
theorem IsHermitian.map {A : Matrix n n α} (h : A.IsHermitian) (f : α → β)
(hf : Function.Semiconj f star star) : (A.map f).IsHermitian :=
(conjTranspose_map f hf).symm.trans <| h.eq.symm ▸ rfl
#align matrix.is_hermitian.map Matrix.IsHermitian.map
theorem IsHermitian.transpose {A : Matrix n n α} (h : A.IsHermitian) : Aᵀ.IsHermitian := by
rw [IsHermitian, conjTranspose, transpose_map]
exact congr_arg Matrix.transpose h
#align matrix.is_hermitian.transpose Matrix.IsHermitian.transpose
@[simp]
theorem isHermitian_transpose_iff (A : Matrix n n α) : Aᵀ.IsHermitian ↔ A.IsHermitian :=
⟨by intro h; rw [← transpose_transpose A]; exact IsHermitian.transpose h, IsHermitian.transpose⟩
#align matrix.is_hermitian_transpose_iff Matrix.isHermitian_transpose_iff
theorem IsHermitian.conjTranspose {A : Matrix n n α} (h : A.IsHermitian) : Aᴴ.IsHermitian :=
h.transpose.map _ fun _ => rfl
#align matrix.is_hermitian.conj_transpose Matrix.IsHermitian.conjTranspose
@[simp]
theorem IsHermitian.submatrix {A : Matrix n n α} (h : A.IsHermitian) (f : m → n) :
(A.submatrix f f).IsHermitian := (conjTranspose_submatrix _ _ _).trans (h.symm ▸ rfl)
#align matrix.is_hermitian.submatrix Matrix.IsHermitian.submatrix
@[simp]
theorem isHermitian_submatrix_equiv {A : Matrix n n α} (e : m ≃ n) :
(A.submatrix e e).IsHermitian ↔ A.IsHermitian :=
⟨fun h => by simpa using h.submatrix e.symm, fun h => h.submatrix _⟩
#align matrix.is_hermitian_submatrix_equiv Matrix.isHermitian_submatrix_equiv
end Star
section InvolutiveStar
variable [InvolutiveStar α]
@[simp]
theorem isHermitian_conjTranspose_iff (A : Matrix n n α) : Aᴴ.IsHermitian ↔ A.IsHermitian :=
IsSelfAdjoint.star_iff
#align matrix.is_hermitian_conj_transpose_iff Matrix.isHermitian_conjTranspose_iff
/-- A block matrix `A.from_blocks B C D` is hermitian,
if `A` and `D` are hermitian and `Bᴴ = C`. -/
| Mathlib/LinearAlgebra/Matrix/Hermitian.lean | 112 | 117 | theorem IsHermitian.fromBlocks {A : Matrix m m α} {B : Matrix m n α} {C : Matrix n m α}
{D : Matrix n n α} (hA : A.IsHermitian) (hBC : Bᴴ = C) (hD : D.IsHermitian) :
(A.fromBlocks B C D).IsHermitian := by |
have hCB : Cᴴ = B := by rw [← hBC, conjTranspose_conjTranspose]
unfold Matrix.IsHermitian
rw [fromBlocks_conjTranspose, hBC, hCB, hA, hD]
|
/-
Copyright (c) 2021 Jireh Loreaux. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jireh Loreaux
-/
import Mathlib.Algebra.Algebra.Quasispectrum
import Mathlib.FieldTheory.IsAlgClosed.Spectrum
import Mathlib.Analysis.Complex.Liouville
import Mathlib.Analysis.Complex.Polynomial
import Mathlib.Analysis.Analytic.RadiusLiminf
import Mathlib.Topology.Algebra.Module.CharacterSpace
import Mathlib.Analysis.NormedSpace.Exponential
import Mathlib.Analysis.NormedSpace.UnitizationL1
#align_import analysis.normed_space.spectrum from "leanprover-community/mathlib"@"d608fc5d4e69d4cc21885913fb573a88b0deb521"
/-!
# The spectrum of elements in a complete normed algebra
This file contains the basic theory for the resolvent and spectrum of a Banach algebra.
## Main definitions
* `spectralRadius : ℝ≥0∞`: supremum of `‖k‖₊` for all `k ∈ spectrum 𝕜 a`
* `NormedRing.algEquivComplexOfComplete`: **Gelfand-Mazur theorem** For a complex
Banach division algebra, the natural `algebraMap ℂ A` is an algebra isomorphism whose inverse
is given by selecting the (unique) element of `spectrum ℂ a`
## Main statements
* `spectrum.isOpen_resolventSet`: the resolvent set is open.
* `spectrum.isClosed`: the spectrum is closed.
* `spectrum.subset_closedBall_norm`: the spectrum is a subset of closed disk of radius
equal to the norm.
* `spectrum.isCompact`: the spectrum is compact.
* `spectrum.spectralRadius_le_nnnorm`: the spectral radius is bounded above by the norm.
* `spectrum.hasDerivAt_resolvent`: the resolvent function is differentiable on the resolvent set.
* `spectrum.pow_nnnorm_pow_one_div_tendsto_nhds_spectralRadius`: Gelfand's formula for the
spectral radius in Banach algebras over `ℂ`.
* `spectrum.nonempty`: the spectrum of any element in a complex Banach algebra is nonempty.
## TODO
* compute all derivatives of `resolvent a`.
-/
open scoped ENNReal NNReal
open NormedSpace -- For `NormedSpace.exp`.
/-- The *spectral radius* is the supremum of the `nnnorm` (`‖·‖₊`) of elements in the spectrum,
coerced into an element of `ℝ≥0∞`. Note that it is possible for `spectrum 𝕜 a = ∅`. In this
case, `spectralRadius a = 0`. It is also possible that `spectrum 𝕜 a` be unbounded (though
not for Banach algebras, see `spectrum.isBounded`, below). In this case,
`spectralRadius a = ∞`. -/
noncomputable def spectralRadius (𝕜 : Type*) {A : Type*} [NormedField 𝕜] [Ring A] [Algebra 𝕜 A]
(a : A) : ℝ≥0∞ :=
⨆ k ∈ spectrum 𝕜 a, ‖k‖₊
#align spectral_radius spectralRadius
variable {𝕜 : Type*} {A : Type*}
namespace spectrum
section SpectrumCompact
open Filter
variable [NormedField 𝕜] [NormedRing A] [NormedAlgebra 𝕜 A]
local notation "σ" => spectrum 𝕜
local notation "ρ" => resolventSet 𝕜
local notation "↑ₐ" => algebraMap 𝕜 A
@[simp]
theorem SpectralRadius.of_subsingleton [Subsingleton A] (a : A) : spectralRadius 𝕜 a = 0 := by
simp [spectralRadius]
#align spectrum.spectral_radius.of_subsingleton spectrum.SpectralRadius.of_subsingleton
@[simp]
| Mathlib/Analysis/NormedSpace/Spectrum.lean | 84 | 86 | theorem spectralRadius_zero : spectralRadius 𝕜 (0 : A) = 0 := by |
nontriviality A
simp [spectralRadius]
|
/-
Copyright (c) 2021 Hunter Monroe. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Hunter Monroe, Kyle Miller
-/
import Mathlib.Combinatorics.SimpleGraph.Dart
import Mathlib.Data.FunLike.Fintype
/-!
# Maps between graphs
This file defines two functions and three structures relating graphs.
The structures directly correspond to the classification of functions as
injective, surjective and bijective, and have corresponding notation.
## Main definitions
* `SimpleGraph.map`: the graph obtained by pushing the adjacency relation through
an injective function between vertex types.
* `SimpleGraph.comap`: the graph obtained by pulling the adjacency relation behind
an arbitrary function between vertex types.
* `SimpleGraph.induce`: the subgraph induced by the given vertex set, a wrapper around `comap`.
* `SimpleGraph.spanningCoe`: the supergraph without any additional edges, a wrapper around `map`.
* `SimpleGraph.Hom`, `G →g H`: a graph homomorphism from `G` to `H`.
* `SimpleGraph.Embedding`, `G ↪g H`: a graph embedding of `G` in `H`.
* `SimpleGraph.Iso`, `G ≃g H`: a graph isomorphism between `G` and `H`.
Note that a graph embedding is a stronger notion than an injective graph homomorphism,
since its image is an induced subgraph.
## Implementation notes
Morphisms of graphs are abbreviations for `RelHom`, `RelEmbedding` and `RelIso`.
To make use of pre-existing simp lemmas, definitions involving morphisms are
abbreviations as well.
-/
open Function
namespace SimpleGraph
variable {V W X : Type*} (G : SimpleGraph V) (G' : SimpleGraph W) {u v : V}
/-! ## Map and comap -/
/-- Given an injective function, there is a covariant induced map on graphs by pushing forward
the adjacency relation.
This is injective (see `SimpleGraph.map_injective`). -/
protected def map (f : V ↪ W) (G : SimpleGraph V) : SimpleGraph W where
Adj := Relation.Map G.Adj f f
symm a b := by -- Porting note: `obviously` used to handle this
rintro ⟨v, w, h, rfl, rfl⟩
use w, v, h.symm, rfl
loopless a := by -- Porting note: `obviously` used to handle this
rintro ⟨v, w, h, rfl, h'⟩
exact h.ne (f.injective h'.symm)
#align simple_graph.map SimpleGraph.map
instance instDecidableMapAdj {f : V ↪ W} {a b} [Decidable (Relation.Map G.Adj f f a b)] :
Decidable ((G.map f).Adj a b) := ‹Decidable (Relation.Map G.Adj f f a b)›
#align simple_graph.decidable_map SimpleGraph.instDecidableMapAdj
@[simp]
theorem map_adj (f : V ↪ W) (G : SimpleGraph V) (u v : W) :
(G.map f).Adj u v ↔ ∃ u' v' : V, G.Adj u' v' ∧ f u' = u ∧ f v' = v :=
Iff.rfl
#align simple_graph.map_adj SimpleGraph.map_adj
lemma map_adj_apply {G : SimpleGraph V} {f : V ↪ W} {a b : V} :
(G.map f).Adj (f a) (f b) ↔ G.Adj a b := by simp
#align simple_graph.map_adj_apply SimpleGraph.map_adj_apply
| Mathlib/Combinatorics/SimpleGraph/Maps.lean | 76 | 78 | theorem map_monotone (f : V ↪ W) : Monotone (SimpleGraph.map f) := by |
rintro G G' h _ _ ⟨u, v, ha, rfl, rfl⟩
exact ⟨_, _, h ha, rfl, rfl⟩
|
/-
Copyright (c) 2023 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Dynamics.Ergodic.Ergodic
import Mathlib.MeasureTheory.Function.AEEqFun
/-!
# Functions invariant under (quasi)ergodic map
In this file we prove that an a.e. strongly measurable function `g : α → X`
that is a.e. invariant under a (quasi)ergodic map is a.e. equal to a constant.
We prove several versions of this statement with slightly different measurability assumptions.
We also formulate a version for `MeasureTheory.AEEqFun` functions
with all a.e. equalities replaced with equalities in the quotient space.
-/
open Function Set Filter MeasureTheory Topology TopologicalSpace
variable {α X : Type*} [MeasurableSpace α] {μ : MeasureTheory.Measure α}
/-- Let `f : α → α` be a (quasi)ergodic map. Let `g : α → X` is a null-measurable function
from `α` to a nonempty space with a countable family of measurable sets
separating points of a set `s` such that `f x ∈ s` for a.e. `x`.
If `g` that is a.e.-invariant under `f`, then `g` is a.e. constant. -/
theorem QuasiErgodic.ae_eq_const_of_ae_eq_comp_of_ae_range₀ [Nonempty X] [MeasurableSpace X]
{s : Set X} [MeasurableSpace.CountablySeparated s] {f : α → α} {g : α → X}
(h : QuasiErgodic f μ) (hs : ∀ᵐ x ∂μ, g x ∈ s) (hgm : NullMeasurable g μ)
(hg_eq : g ∘ f =ᵐ[μ] g) :
∃ c, g =ᵐ[μ] const α c := by
refine exists_eventuallyEq_const_of_eventually_mem_of_forall_separating MeasurableSet hs ?_
refine fun U hU ↦ h.ae_mem_or_ae_nmem₀ (s := g ⁻¹' U) (hgm hU) ?_b
refine (hg_eq.mono fun x hx ↦ ?_).set_eq
rw [← preimage_comp, mem_preimage, mem_preimage, hx]
section CountableSeparatingOnUniv
variable [Nonempty X] [MeasurableSpace X] [MeasurableSpace.CountablySeparated X]
{f : α → α} {g : α → X}
/-- Let `f : α → α` be a (pre)ergodic map.
Let `g : α → X` be a measurable function from `α` to a nonempty measurable space
with a countable family of measurable sets separating the points of `X`.
If `g` is invariant under `f`, then `g` is a.e. constant. -/
theorem PreErgodic.ae_eq_const_of_ae_eq_comp (h : PreErgodic f μ) (hgm : Measurable g)
(hg_eq : g ∘ f = g) : ∃ c, g =ᵐ[μ] const α c :=
exists_eventuallyEq_const_of_forall_separating MeasurableSet fun U hU ↦
h.ae_mem_or_ae_nmem (s := g ⁻¹' U) (hgm hU) <| by rw [← preimage_comp, hg_eq]
/-- Let `f : α → α` be a quasi ergodic map.
Let `g : α → X` be a null-measurable function from `α` to a nonempty measurable space
with a countable family of measurable sets separating the points of `X`.
If `g` is a.e.-invariant under `f`, then `g` is a.e. constant. -/
theorem QuasiErgodic.ae_eq_const_of_ae_eq_comp₀ (h : QuasiErgodic f μ) (hgm : NullMeasurable g μ)
(hg_eq : g ∘ f =ᵐ[μ] g) : ∃ c, g =ᵐ[μ] const α c :=
h.ae_eq_const_of_ae_eq_comp_of_ae_range₀ (s := univ) univ_mem hgm hg_eq
/-- Let `f : α → α` be an ergodic map.
Let `g : α → X` be a null-measurable function from `α` to a nonempty measurable space
with a countable family of measurable sets separating the points of `X`.
If `g` is a.e.-invariant under `f`, then `g` is a.e. constant. -/
theorem Ergodic.ae_eq_const_of_ae_eq_comp₀ (h : Ergodic f μ) (hgm : NullMeasurable g μ)
(hg_eq : g ∘ f =ᵐ[μ] g) : ∃ c, g =ᵐ[μ] const α c :=
h.quasiErgodic.ae_eq_const_of_ae_eq_comp₀ hgm hg_eq
end CountableSeparatingOnUniv
variable [TopologicalSpace X] [MetrizableSpace X] [Nonempty X] {f : α → α}
namespace QuasiErgodic
/-- Let `f : α → α` be a quasi ergodic map.
Let `g : α → X` be an a.e. strongly measurable function
from `α` to a nonempty metrizable topological space.
If `g` is a.e.-invariant under `f`, then `g` is a.e. constant. -/
| Mathlib/Dynamics/Ergodic/Function.lean | 77 | 82 | theorem ae_eq_const_of_ae_eq_comp_ae {g : α → X} (h : QuasiErgodic f μ)
(hgm : AEStronglyMeasurable g μ) (hg_eq : g ∘ f =ᵐ[μ] g) : ∃ c, g =ᵐ[μ] const α c := by |
borelize X
rcases hgm.isSeparable_ae_range with ⟨t, ht, hgt⟩
haveI := ht.secondCountableTopology
exact h.ae_eq_const_of_ae_eq_comp_of_ae_range₀ hgt hgm.aemeasurable.nullMeasurable hg_eq
|
/-
Copyright (c) 2024 Judith Ludwig, Christian Merten. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Judith Ludwig, Christian Merten
-/
import Mathlib.RingTheory.AdicCompletion.Basic
import Mathlib.RingTheory.AdicCompletion.Algebra
import Mathlib.Algebra.DirectSum.Basic
/-!
# Functoriality of adic completions
In this file we establish functorial properties of the adic completion.
## Main definitions
- `LinearMap.adicCauchy I f`: the linear map on `I`-adic cauchy sequences induced by `f`
- `LinearMap.adicCompletion I f`: the linear map on `I`-adic completions induced by `f`
## Main results
- `sumEquivOfFintype`: adic completion commutes with finite sums
- `piEquivOfFintype`: adic completion commutes with finite products
-/
variable {R : Type*} [CommRing R] (I : Ideal R)
variable {M : Type*} [AddCommGroup M] [Module R M]
variable {N : Type*} [AddCommGroup N] [Module R N]
variable {P : Type*} [AddCommGroup P] [Module R P]
variable {T : Type*} [AddCommGroup T] [Module (AdicCompletion I R) T]
namespace LinearMap
/-- `R`-linear version of `reduceModIdeal`. -/
private def reduceModIdealAux (f : M →ₗ[R] N) :
M ⧸ (I • ⊤ : Submodule R M) →ₗ[R] N ⧸ (I • ⊤ : Submodule R N) :=
Submodule.mapQ (I • ⊤ : Submodule R M) (I • ⊤ : Submodule R N) f
(fun x hx ↦ by
refine Submodule.smul_induction_on hx (fun r hr x _ ↦ ?_) (fun x y hx hy ↦ ?_)
· simp [Submodule.smul_mem_smul hr Submodule.mem_top]
· simp [Submodule.add_mem _ hx hy])
@[local simp]
private theorem reduceModIdealAux_apply (f : M →ₗ[R] N) (x : M) :
(f.reduceModIdealAux I) (Submodule.Quotient.mk (p := (I • ⊤ : Submodule R M)) x) =
Submodule.Quotient.mk (p := (I • ⊤ : Submodule R N)) (f x) :=
rfl
/-- The induced linear map on the quotients mod `I • ⊤`. -/
def reduceModIdeal (f : M →ₗ[R] N) :
M ⧸ (I • ⊤ : Submodule R M) →ₗ[R ⧸ I] N ⧸ (I • ⊤ : Submodule R N) where
toFun := f.reduceModIdealAux I
map_add' := by simp
map_smul' r x := by
refine Quotient.inductionOn' r (fun r ↦ ?_)
refine Quotient.inductionOn' x (fun x ↦ ?_)
simp only [Submodule.Quotient.mk''_eq_mk, Ideal.Quotient.mk_eq_mk, Module.Quotient.mk_smul_mk,
Submodule.Quotient.mk_smul, LinearMapClass.map_smul, reduceModIdealAux_apply]
rfl
@[simp]
theorem reduceModIdeal_apply (f : M →ₗ[R] N) (x : M) :
(f.reduceModIdeal I) (Submodule.Quotient.mk (p := (I • ⊤ : Submodule R M)) x) =
Submodule.Quotient.mk (p := (I • ⊤ : Submodule R N)) (f x) :=
rfl
end LinearMap
namespace AdicCompletion
open LinearMap
| Mathlib/RingTheory/AdicCompletion/Functoriality.lean | 74 | 78 | theorem transitionMap_comp_reduceModIdeal (f : M →ₗ[R] N) {m n : ℕ}
(hmn : m ≤ n) : transitionMap I N hmn ∘ₗ f.reduceModIdeal (I ^ n) =
(f.reduceModIdeal (I ^ m) : _ →ₗ[R] _) ∘ₗ transitionMap I M hmn := by |
ext x
simp
|
/-
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.Finset.Prod
import Mathlib.Data.Set.Finite
#align_import data.finset.n_ary from "leanprover-community/mathlib"@"eba7871095e834365616b5e43c8c7bb0b37058d0"
/-!
# N-ary images of finsets
This file defines `Finset.image₂`, the binary image of finsets. This is the finset version of
`Set.image2`. This is mostly useful to define pointwise operations.
## Notes
This file is very similar to `Data.Set.NAry`, `Order.Filter.NAry` and `Data.Option.NAry`. Please
keep them in sync.
We do not define `Finset.image₃` as its only purpose would be to prove properties of `Finset.image₂`
and `Set.image2` already fulfills this task.
-/
open Function Set
variable {α α' β β' γ γ' δ δ' ε ε' ζ ζ' ν : Type*}
namespace Finset
variable [DecidableEq α'] [DecidableEq β'] [DecidableEq γ] [DecidableEq γ'] [DecidableEq δ]
[DecidableEq δ'] [DecidableEq ε] [DecidableEq ε'] {f f' : α → β → γ} {g g' : α → β → γ → δ}
{s s' : Finset α} {t t' : Finset β} {u u' : Finset γ} {a a' : α} {b b' : β} {c : γ}
/-- The image of a binary function `f : α → β → γ` as a function `Finset α → Finset β → Finset γ`.
Mathematically this should be thought of as the image of the corresponding function `α × β → γ`. -/
def image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) : Finset γ :=
(s ×ˢ t).image <| uncurry f
#align finset.image₂ Finset.image₂
@[simp]
theorem mem_image₂ : c ∈ image₂ f s t ↔ ∃ a ∈ s, ∃ b ∈ t, f a b = c := by
simp [image₂, and_assoc]
#align finset.mem_image₂ Finset.mem_image₂
@[simp, norm_cast]
theorem coe_image₂ (f : α → β → γ) (s : Finset α) (t : Finset β) :
(image₂ f s t : Set γ) = Set.image2 f s t :=
Set.ext fun _ => mem_image₂
#align finset.coe_image₂ Finset.coe_image₂
theorem card_image₂_le (f : α → β → γ) (s : Finset α) (t : Finset β) :
(image₂ f s t).card ≤ s.card * t.card :=
card_image_le.trans_eq <| card_product _ _
#align finset.card_image₂_le Finset.card_image₂_le
theorem card_image₂_iff :
(image₂ f s t).card = s.card * t.card ↔ (s ×ˢ t : Set (α × β)).InjOn fun x => f x.1 x.2 := by
rw [← card_product, ← coe_product]
exact card_image_iff
#align finset.card_image₂_iff Finset.card_image₂_iff
theorem card_image₂ (hf : Injective2 f) (s : Finset α) (t : Finset β) :
(image₂ f s t).card = s.card * t.card :=
(card_image_of_injective _ hf.uncurry).trans <| card_product _ _
#align finset.card_image₂ Finset.card_image₂
theorem mem_image₂_of_mem (ha : a ∈ s) (hb : b ∈ t) : f a b ∈ image₂ f s t :=
mem_image₂.2 ⟨a, ha, b, hb, rfl⟩
#align finset.mem_image₂_of_mem Finset.mem_image₂_of_mem
theorem mem_image₂_iff (hf : Injective2 f) : f a b ∈ image₂ f s t ↔ a ∈ s ∧ b ∈ t := by
rw [← mem_coe, coe_image₂, mem_image2_iff hf, mem_coe, mem_coe]
#align finset.mem_image₂_iff Finset.mem_image₂_iff
theorem image₂_subset (hs : s ⊆ s') (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s' t' := by
rw [← coe_subset, coe_image₂, coe_image₂]
exact image2_subset hs ht
#align finset.image₂_subset Finset.image₂_subset
theorem image₂_subset_left (ht : t ⊆ t') : image₂ f s t ⊆ image₂ f s t' :=
image₂_subset Subset.rfl ht
#align finset.image₂_subset_left Finset.image₂_subset_left
theorem image₂_subset_right (hs : s ⊆ s') : image₂ f s t ⊆ image₂ f s' t :=
image₂_subset hs Subset.rfl
#align finset.image₂_subset_right Finset.image₂_subset_right
theorem image_subset_image₂_left (hb : b ∈ t) : s.image (fun a => f a b) ⊆ image₂ f s t :=
image_subset_iff.2 fun _ ha => mem_image₂_of_mem ha hb
#align finset.image_subset_image₂_left Finset.image_subset_image₂_left
theorem image_subset_image₂_right (ha : a ∈ s) : t.image (fun b => f a b) ⊆ image₂ f s t :=
image_subset_iff.2 fun _ => mem_image₂_of_mem ha
#align finset.image_subset_image₂_right Finset.image_subset_image₂_right
theorem forall_image₂_iff {p : γ → Prop} :
(∀ z ∈ image₂ f s t, p z) ↔ ∀ x ∈ s, ∀ y ∈ t, p (f x y) := by
simp_rw [← mem_coe, coe_image₂, forall_image2_iff]
#align finset.forall_image₂_iff Finset.forall_image₂_iff
@[simp]
theorem image₂_subset_iff : image₂ f s t ⊆ u ↔ ∀ x ∈ s, ∀ y ∈ t, f x y ∈ u :=
forall_image₂_iff
#align finset.image₂_subset_iff Finset.image₂_subset_iff
| Mathlib/Data/Finset/NAry.lean | 108 | 109 | theorem image₂_subset_iff_left : image₂ f s t ⊆ u ↔ ∀ a ∈ s, (t.image fun b => f a b) ⊆ u := by |
simp_rw [image₂_subset_iff, image_subset_iff]
|
/-
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.Init.Function
#align_import data.option.n_ary from "leanprover-community/mathlib"@"995b47e555f1b6297c7cf16855f1023e355219fb"
/-!
# Binary map of options
This file defines the binary map of `Option`. This is mostly useful to define pointwise operations
on intervals.
## Main declarations
* `Option.map₂`: Binary map of options.
## Notes
This file is very similar to the n-ary section of `Mathlib.Data.Set.Basic`, to
`Mathlib.Data.Finset.NAry` and to `Mathlib.Order.Filter.NAry`. Please keep them in sync.
(porting note - only some of these may exist right now!)
We do not define `Option.map₃` as its only purpose so far would be to prove properties of
`Option.map₂` and casing already fulfills this task.
-/
universe u
open Function
namespace Option
variable {α β γ δ : Type*} {f : α → β → γ} {a : Option α} {b : Option β} {c : Option γ}
/-- The image of a binary function `f : α → β → γ` as a function `Option α → Option β → Option γ`.
Mathematically this should be thought of as the image of the corresponding function `α × β → γ`. -/
def map₂ (f : α → β → γ) (a : Option α) (b : Option β) : Option γ :=
a.bind fun a => b.map <| f a
#align option.map₂ Option.map₂
/-- `Option.map₂` in terms of monadic operations. Note that this can't be taken as the definition
because of the lack of universe polymorphism. -/
theorem map₂_def {α β γ : Type u} (f : α → β → γ) (a : Option α) (b : Option β) :
map₂ f a b = f <$> a <*> b := by
cases a <;> rfl
#align option.map₂_def Option.map₂_def
-- Porting note (#10618): In Lean3, was `@[simp]` but now `simp` can prove it
theorem map₂_some_some (f : α → β → γ) (a : α) (b : β) : map₂ f (some a) (some b) = f a b := rfl
#align option.map₂_some_some Option.map₂_some_some
theorem map₂_coe_coe (f : α → β → γ) (a : α) (b : β) : map₂ f a b = f a b := rfl
#align option.map₂_coe_coe Option.map₂_coe_coe
@[simp]
theorem map₂_none_left (f : α → β → γ) (b : Option β) : map₂ f none b = none := rfl
#align option.map₂_none_left Option.map₂_none_left
@[simp]
theorem map₂_none_right (f : α → β → γ) (a : Option α) : map₂ f a none = none := by cases a <;> rfl
#align option.map₂_none_right Option.map₂_none_right
@[simp]
theorem map₂_coe_left (f : α → β → γ) (a : α) (b : Option β) : map₂ f a b = b.map fun b => f a b :=
rfl
#align option.map₂_coe_left Option.map₂_coe_left
-- Porting note: This proof was `rfl` in Lean3, but now is not.
@[simp]
theorem map₂_coe_right (f : α → β → γ) (a : Option α) (b : β) :
map₂ f a b = a.map fun a => f a b := by cases a <;> rfl
#align option.map₂_coe_right Option.map₂_coe_right
-- Porting note: Removed the `@[simp]` tag as membership of an `Option` is no-longer simp-normal.
theorem mem_map₂_iff {c : γ} : c ∈ map₂ f a b ↔ ∃ a' b', a' ∈ a ∧ b' ∈ b ∧ f a' b' = c := by
simp [map₂, bind_eq_some]
#align option.mem_map₂_iff Option.mem_map₂_iff
@[simp]
theorem map₂_eq_none_iff : map₂ f a b = none ↔ a = none ∨ b = none := by
cases a <;> cases b <;> simp
#align option.map₂_eq_none_iff Option.map₂_eq_none_iff
| Mathlib/Data/Option/NAry.lean | 87 | 88 | theorem map₂_swap (f : α → β → γ) (a : Option α) (b : Option β) :
map₂ f a b = map₂ (fun a b => f b a) b a := by | cases a <;> cases b <;> 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 standard maps associated to the product of manifolds
This file contains results about smoothness of standard maps associated to products of manifolds
- if `f` and `g` are smooth, so is their point-wise product.
- the component projections from a product of manifolds are smooth.
- functions into a product (*pi type*) are smooth iff their components are
-/
open Set Function Filter ChartedSpace SmoothManifoldWithCorners
open scoped Topology 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 a 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'']
-- declare a smooth manifold `N` over the pair `(F, G)`.
{F : Type*}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [TopologicalSpace G]
{J : ModelWithCorners 𝕜 F G} {N : Type*} [TopologicalSpace N] [ChartedSpace G N]
[SmoothManifoldWithCorners J N]
-- declare a smooth manifold `N'` over the pair `(F', G')`.
{F' : Type*}
[NormedAddCommGroup F'] [NormedSpace 𝕜 F'] {G' : Type*} [TopologicalSpace G']
{J' : ModelWithCorners 𝕜 F' G'} {N' : Type*} [TopologicalSpace N'] [ChartedSpace G' N']
[SmoothManifoldWithCorners J' N']
-- F₁, F₂, F₃, F₄ are normed spaces
{F₁ : Type*}
[NormedAddCommGroup F₁] [NormedSpace 𝕜 F₁] {F₂ : Type*} [NormedAddCommGroup F₂]
[NormedSpace 𝕜 F₂] {F₃ : Type*} [NormedAddCommGroup F₃] [NormedSpace 𝕜 F₃] {F₄ : Type*}
[NormedAddCommGroup F₄] [NormedSpace 𝕜 F₄]
-- declare functions, sets, points and smoothness indices
{e : PartialHomeomorph M H}
{e' : PartialHomeomorph M' H'} {f f₁ : M → M'} {s s₁ t : Set M} {x : M} {m n : ℕ∞}
variable {I I'}
section ProdMk
| Mathlib/Geometry/Manifold/ContMDiff/Product.lean | 59 | 63 | theorem ContMDiffWithinAt.prod_mk {f : M → M'} {g : M → N'} (hf : ContMDiffWithinAt I I' n f s x)
(hg : ContMDiffWithinAt I J' n g s x) :
ContMDiffWithinAt I (I'.prod J') n (fun x => (f x, g x)) s x := by |
rw [contMDiffWithinAt_iff] at *
exact ⟨hf.1.prod hg.1, hf.2.prod hg.2⟩
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro, Patrick Massot, Yury Kudryashov, Rémy Degenne
-/
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Order.Hom.Set
#align_import data.set.intervals.order_iso from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105"
/-!
# Lemmas about images of intervals under order isomorphisms.
-/
open Set
namespace OrderIso
section Preorder
variable {α β : Type*} [Preorder α] [Preorder β]
@[simp]
theorem preimage_Iic (e : α ≃o β) (b : β) : e ⁻¹' Iic b = Iic (e.symm b) := by
ext x
simp [← e.le_iff_le]
#align order_iso.preimage_Iic OrderIso.preimage_Iic
@[simp]
theorem preimage_Ici (e : α ≃o β) (b : β) : e ⁻¹' Ici b = Ici (e.symm b) := by
ext x
simp [← e.le_iff_le]
#align order_iso.preimage_Ici OrderIso.preimage_Ici
@[simp]
| Mathlib/Order/Interval/Set/OrderIso.lean | 36 | 38 | theorem preimage_Iio (e : α ≃o β) (b : β) : e ⁻¹' Iio b = Iio (e.symm b) := by |
ext x
simp [← e.lt_iff_lt]
|
/-
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.Fin.Tuple.Basic
import Mathlib.Data.List.Join
#align_import data.list.of_fn from "leanprover-community/mathlib"@"bf27744463e9620ca4e4ebe951fe83530ae6949b"
/-!
# Lists from functions
Theorems and lemmas for dealing with `List.ofFn`, which converts a function on `Fin n` to a list
of length `n`.
## Main Statements
The main statements pertain to lists generated using `List.ofFn`
- `List.length_ofFn`, which tells us the length of such a list
- `List.get?_ofFn`, which tells us the nth element of such a list
- `List.equivSigmaTuple`, which is an `Equiv` between lists and the functions that generate them
via `List.ofFn`.
-/
universe u
variable {α : Type u}
open Nat
namespace List
#noalign list.length_of_fn_aux
@[simp]
theorem length_ofFn_go {n} (f : Fin n → α) (i j h) : length (ofFn.go f i j h) = i := by
induction i generalizing j <;> simp_all [ofFn.go]
/-- The length of a list converted from a function is the size of the domain. -/
@[simp]
theorem length_ofFn {n} (f : Fin n → α) : length (ofFn f) = n := by
simp [ofFn, length_ofFn_go]
#align list.length_of_fn List.length_ofFn
#noalign list.nth_of_fn_aux
theorem get_ofFn_go {n} (f : Fin n → α) (i j h) (k) (hk) :
get (ofFn.go f i j h) ⟨k, hk⟩ = f ⟨j + k, by simp at hk; omega⟩ := by
let i+1 := i
cases k <;> simp [ofFn.go, get_ofFn_go (i := i)]
congr 2; omega
-- Porting note (#10756): new theorem
@[simp]
theorem get_ofFn {n} (f : Fin n → α) (i) : get (ofFn f) i = f (Fin.cast (by simp) i) := by
cases i; simp [ofFn, get_ofFn_go]
/-- The `n`th element of a list -/
@[simp]
theorem get?_ofFn {n} (f : Fin n → α) (i) : get? (ofFn f) i = ofFnNthVal f i :=
if h : i < (ofFn f).length
then by
rw [get?_eq_get h, get_ofFn]
· simp only [length_ofFn] at h; simp [ofFnNthVal, h]
else by
rw [ofFnNthVal, dif_neg] <;>
simpa using h
#align list.nth_of_fn List.get?_ofFn
set_option linter.deprecated false in
@[deprecated get_ofFn (since := "2023-01-17")]
theorem nthLe_ofFn {n} (f : Fin n → α) (i : Fin n) :
nthLe (ofFn f) i ((length_ofFn f).symm ▸ i.2) = f i := by
simp [nthLe]
#align list.nth_le_of_fn List.nthLe_ofFn
set_option linter.deprecated false in
@[simp, deprecated get_ofFn (since := "2023-01-17")]
theorem nthLe_ofFn' {n} (f : Fin n → α) {i : ℕ} (h : i < (ofFn f).length) :
nthLe (ofFn f) i h = f ⟨i, length_ofFn f ▸ h⟩ :=
nthLe_ofFn f ⟨i, length_ofFn f ▸ h⟩
#align list.nth_le_of_fn' List.nthLe_ofFn'
@[simp]
theorem map_ofFn {β : Type*} {n : ℕ} (f : Fin n → α) (g : α → β) :
map g (ofFn f) = ofFn (g ∘ f) :=
ext_get (by simp) fun i h h' => by simp
#align list.map_of_fn List.map_ofFn
-- Porting note: we don't have Array' in mathlib4
-- /-- Arrays converted to lists are the same as `of_fn` on the indexing function of the array. -/
-- theorem array_eq_of_fn {n} (a : Array' n α) : a.toList = ofFn a.read :=
-- by
-- suffices ∀ {m h l}, DArray.revIterateAux a (fun i => cons) m h l =
-- ofFnAux (DArray.read a) m h l
-- from this
-- intros; induction' m with m IH generalizing l; · rfl
-- simp only [DArray.revIterateAux, of_fn_aux, IH]
-- #align list.array_eq_of_fn List.array_eq_of_fn
@[congr]
| Mathlib/Data/List/OfFn.lean | 105 | 108 | theorem ofFn_congr {m n : ℕ} (h : m = n) (f : Fin m → α) :
ofFn f = ofFn fun i : Fin n => f (Fin.cast h.symm i) := by |
subst h
simp_rw [Fin.cast_refl, id]
|
/-
Copyright (c) 2024 Antoine Chambert-Loir. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Antoine Chambert-Loir
-/
import Mathlib.Data.Setoid.Partition
import Mathlib.GroupTheory.GroupAction.Basic
import Mathlib.GroupTheory.GroupAction.Pointwise
import Mathlib.GroupTheory.GroupAction.SubMulAction
/-! # Blocks
Given `SMul G X`, an action of a type `G` on a type `X`, we define
- the predicate `IsBlock G B` states that `B : Set X` is a block,
which means that the sets `g • B`, for `g ∈ G`, are equal or disjoint.
- a bunch of lemmas that give examples of “trivial” blocks : ⊥, ⊤, singletons,
and non trivial blocks: orbit of the group, orbit of a normal subgroup…
The non-existence of nontrivial blocks is the definition of primitive actions.
## References
We follow [wieland1964].
-/
open scoped BigOperators Pointwise
namespace MulAction
section orbits
variable {G : Type*} [Group G] {X : Type*} [MulAction G X]
theorem orbit.eq_or_disjoint (a b : X) :
orbit G a = orbit G b ∨ Disjoint (orbit G a) (orbit G b) := by
apply (em (Disjoint (orbit G a) (orbit G b))).symm.imp _ id
simp (config := { contextual := true })
only [Set.not_disjoint_iff, ← orbit_eq_iff, forall_exists_index, and_imp, eq_comm, implies_true]
theorem orbit.pairwiseDisjoint :
(Set.range fun x : X => orbit G x).PairwiseDisjoint id := by
rintro s ⟨x, rfl⟩ t ⟨y, rfl⟩ h
contrapose! h
exact (orbit.eq_or_disjoint x y).resolve_right h
/-- Orbits of an element form a partition -/
theorem IsPartition.of_orbits :
Setoid.IsPartition (Set.range fun a : X => orbit G a) := by
apply orbit.pairwiseDisjoint.isPartition_of_exists_of_ne_empty
· intro x
exact ⟨_, ⟨x, rfl⟩, mem_orbit_self x⟩
· rintro ⟨a, ha : orbit G a = ∅⟩
exact (MulAction.orbit_nonempty a).ne_empty ha
end orbits
section SMul
variable (G : Type*) {X : Type*} [SMul G X]
-- Change terminology : is_fully_invariant ?
/-- For `SMul G X`, a fixed block is a `Set X` which is fully invariant:
`g • B = B` for all `g : G` -/
def IsFixedBlock (B : Set X) := ∀ g : G, g • B = B
/-- For `SMul G X`, an invariant block is a `Set X` which is stable:
`g • B ⊆ B` for all `g : G` -/
def IsInvariantBlock (B : Set X) := ∀ g : G, g • B ⊆ B
/-- A trivial block is a `Set X` which is either a subsingleton or ⊤
(it is not necessarily a block…) -/
def IsTrivialBlock (B : Set X) := B.Subsingleton ∨ B = ⊤
/-- `For SMul G X`, a block is a `Set X` whose translates are pairwise disjoint -/
def IsBlock (B : Set X) := (Set.range fun g : G => g • B).PairwiseDisjoint id
variable {G}
/-- A set B is a block iff for all g, g',
the sets g • B and g' • B are either equal or disjoint -/
theorem IsBlock.def {B : Set X} :
IsBlock G B ↔ ∀ g g' : G, g • B = g' • B ∨ Disjoint (g • B) (g' • B) := by
apply Set.pairwiseDisjoint_range_iff
/-- Alternate definition of a block -/
theorem IsBlock.mk_notempty {B : Set X} :
IsBlock G B ↔ ∀ g g' : G, g • B ∩ g' • B ≠ ∅ → g • B = g' • B := by
simp_rw [IsBlock.def, or_iff_not_imp_right, Set.disjoint_iff_inter_eq_empty]
/-- A fixed block is a block -/
theorem IsFixedBlock.isBlock {B : Set X} (hfB : IsFixedBlock G B) :
IsBlock G B := by
simp [IsBlock.def, hfB _]
variable (X)
/-- The empty set is a block -/
theorem isBlock_empty : IsBlock G (⊥ : Set X) := by
simp [IsBlock.def, Set.bot_eq_empty, Set.smul_set_empty]
variable {X}
theorem isBlock_singleton (a : X) : IsBlock G ({a} : Set X) := by
simp [IsBlock.def, Classical.or_iff_not_imp_left]
/-- Subsingletons are (trivial) blocks -/
theorem isBlock_subsingleton {B : Set X} (hB : B.Subsingleton) :
IsBlock G B :=
hB.induction_on (isBlock_empty _) isBlock_singleton
end SMul
section Group
variable {G : Type*} [Group G] {X : Type*} [MulAction G X]
theorem IsBlock.smul_eq_or_disjoint {B : Set X} (hB : IsBlock G B) (g : G) :
g • B = B ∨ Disjoint (g • B) B := by
rw [IsBlock.def] at hB
simpa only [one_smul] using hB g 1
| Mathlib/GroupTheory/GroupAction/Blocks.lean | 126 | 139 | theorem IsBlock.def_one {B : Set X} :
IsBlock G B ↔ ∀ g : G, g • B = B ∨ Disjoint (g • B) B := by |
refine ⟨IsBlock.smul_eq_or_disjoint, ?_⟩
rw [IsBlock.def]
intro hB g g'
apply (hB (g'⁻¹ * g)).imp
· rw [← smul_smul, ← eq_inv_smul_iff, inv_inv]
exact id
· intro h
rw [Set.disjoint_iff] at h ⊢
rintro x hx
suffices g'⁻¹ • x ∈ (g'⁻¹ * g) • B ∩ B by apply h this
simp only [Set.mem_inter_iff, ← Set.mem_smul_set_iff_inv_smul_mem, ← smul_smul, smul_inv_smul]
exact hx
|
/-
Copyright (c) 2022 Joseph Myers. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joseph Myers, Heather Macbeth
-/
import Mathlib.Analysis.InnerProductSpace.GramSchmidtOrtho
import Mathlib.LinearAlgebra.Orientation
#align_import analysis.inner_product_space.orientation from "leanprover-community/mathlib"@"bd65478311e4dfd41f48bf38c7e3b02fb75d0163"
/-!
# Orientations of real inner product spaces.
This file provides definitions and proves lemmas about orientations of real inner product spaces.
## Main definitions
* `OrthonormalBasis.adjustToOrientation` takes an orthonormal basis and an orientation, and
returns an orthonormal basis with that orientation: either the original orthonormal basis, or one
constructed by negating a single (arbitrary) basis vector.
* `Orientation.finOrthonormalBasis` is an orthonormal basis, indexed by `Fin n`, with the given
orientation.
* `Orientation.volumeForm` is a nonvanishing top-dimensional alternating form on an oriented real
inner product space, uniquely defined by compatibility with the orientation and inner product
structure.
## Main theorems
* `Orientation.volumeForm_apply_le` states that the result of applying the volume form to a set of
`n` vectors, where `n` is the dimension the inner product space, is bounded by the product of the
lengths of the vectors.
* `Orientation.abs_volumeForm_apply_of_pairwise_orthogonal` states that the result of applying the
volume form to a set of `n` orthogonal vectors, where `n` is the dimension the inner product
space, is equal up to sign to the product of the lengths of the vectors.
-/
noncomputable section
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
open FiniteDimensional
open scoped RealInnerProductSpace
namespace OrthonormalBasis
variable {ι : Type*} [Fintype ι] [DecidableEq ι] [ne : Nonempty ι] (e f : OrthonormalBasis ι ℝ E)
(x : Orientation ℝ E ι)
/-- The change-of-basis matrix between two orthonormal bases with the same orientation has
determinant 1. -/
theorem det_to_matrix_orthonormalBasis_of_same_orientation
(h : e.toBasis.orientation = f.toBasis.orientation) : e.toBasis.det f = 1 := by
apply (e.det_to_matrix_orthonormalBasis_real f).resolve_right
have : 0 < e.toBasis.det f := by
rw [e.toBasis.orientation_eq_iff_det_pos] at h
simpa using h
linarith
#align orthonormal_basis.det_to_matrix_orthonormal_basis_of_same_orientation OrthonormalBasis.det_to_matrix_orthonormalBasis_of_same_orientation
/-- The change-of-basis matrix between two orthonormal bases with the opposite orientations has
determinant -1. -/
theorem det_to_matrix_orthonormalBasis_of_opposite_orientation
(h : e.toBasis.orientation ≠ f.toBasis.orientation) : e.toBasis.det f = -1 := by
contrapose! h
simp [e.toBasis.orientation_eq_iff_det_pos,
(e.det_to_matrix_orthonormalBasis_real f).resolve_right h]
#align orthonormal_basis.det_to_matrix_orthonormal_basis_of_opposite_orientation OrthonormalBasis.det_to_matrix_orthonormalBasis_of_opposite_orientation
variable {e f}
/-- Two orthonormal bases with the same orientation determine the same "determinant" top-dimensional
form on `E`, and conversely. -/
theorem same_orientation_iff_det_eq_det :
e.toBasis.det = f.toBasis.det ↔ e.toBasis.orientation = f.toBasis.orientation := by
constructor
· intro h
dsimp [Basis.orientation]
congr
· intro h
rw [e.toBasis.det.eq_smul_basis_det f.toBasis]
simp [e.det_to_matrix_orthonormalBasis_of_same_orientation f h]
#align orthonormal_basis.same_orientation_iff_det_eq_det OrthonormalBasis.same_orientation_iff_det_eq_det
variable (e f)
/-- Two orthonormal bases with opposite orientations determine opposite "determinant"
top-dimensional forms on `E`. -/
theorem det_eq_neg_det_of_opposite_orientation (h : e.toBasis.orientation ≠ f.toBasis.orientation) :
e.toBasis.det = -f.toBasis.det := by
rw [e.toBasis.det.eq_smul_basis_det f.toBasis]
-- Porting note: added `neg_one_smul` with explicit type
simp [e.det_to_matrix_orthonormalBasis_of_opposite_orientation f h,
neg_one_smul ℝ (M := E [⋀^ι]→ₗ[ℝ] ℝ)]
#align orthonormal_basis.det_eq_neg_det_of_opposite_orientation OrthonormalBasis.det_eq_neg_det_of_opposite_orientation
section AdjustToOrientation
/-- `OrthonormalBasis.adjustToOrientation`, applied to an orthonormal basis, preserves the
property of orthonormality. -/
theorem orthonormal_adjustToOrientation : Orthonormal ℝ (e.toBasis.adjustToOrientation x) := by
apply e.orthonormal.orthonormal_of_forall_eq_or_eq_neg
simpa using e.toBasis.adjustToOrientation_apply_eq_or_eq_neg x
#align orthonormal_basis.orthonormal_adjust_to_orientation OrthonormalBasis.orthonormal_adjustToOrientation
/-- Given an orthonormal basis and an orientation, return an orthonormal basis giving that
orientation: either the original basis, or one constructed by negating a single (arbitrary) basis
vector. -/
def adjustToOrientation : OrthonormalBasis ι ℝ E :=
(e.toBasis.adjustToOrientation x).toOrthonormalBasis (e.orthonormal_adjustToOrientation x)
#align orthonormal_basis.adjust_to_orientation OrthonormalBasis.adjustToOrientation
theorem toBasis_adjustToOrientation :
(e.adjustToOrientation x).toBasis = e.toBasis.adjustToOrientation x :=
(e.toBasis.adjustToOrientation x).toBasis_toOrthonormalBasis _
#align orthonormal_basis.to_basis_adjust_to_orientation OrthonormalBasis.toBasis_adjustToOrientation
/-- `adjustToOrientation` gives an orthonormal basis with the required orientation. -/
@[simp]
theorem orientation_adjustToOrientation : (e.adjustToOrientation x).toBasis.orientation = x := by
rw [e.toBasis_adjustToOrientation]
exact e.toBasis.orientation_adjustToOrientation x
#align orthonormal_basis.orientation_adjust_to_orientation OrthonormalBasis.orientation_adjustToOrientation
/-- Every basis vector from `adjustToOrientation` is either that from the original basis or its
negation. -/
| Mathlib/Analysis/InnerProductSpace/Orientation.lean | 129 | 132 | theorem adjustToOrientation_apply_eq_or_eq_neg (i : ι) :
e.adjustToOrientation x i = e i ∨ e.adjustToOrientation x i = -e i := by |
simpa [← e.toBasis_adjustToOrientation] using
e.toBasis.adjustToOrientation_apply_eq_or_eq_neg x i
|
/-
Copyright (c) 2021 Kexing Ying. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kexing Ying
-/
import Mathlib.MeasureTheory.Measure.Sub
import Mathlib.MeasureTheory.Decomposition.SignedHahn
import Mathlib.MeasureTheory.Function.AEEqOfIntegral
#align_import measure_theory.decomposition.lebesgue from "leanprover-community/mathlib"@"b2ff9a3d7a15fd5b0f060b135421d6a89a999c2f"
/-!
# Lebesgue decomposition
This file proves the Lebesgue decomposition theorem. The Lebesgue decomposition theorem states that,
given two σ-finite measures `μ` and `ν`, there exists a σ-finite measure `ξ` and a measurable
function `f` such that `μ = ξ + fν` and `ξ` is mutually singular with respect to `ν`.
The Lebesgue decomposition provides the Radon-Nikodym theorem readily.
## Main definitions
* `MeasureTheory.Measure.HaveLebesgueDecomposition` : A pair of measures `μ` and `ν` is said
to `HaveLebesgueDecomposition` if there exist a measure `ξ` and a measurable function `f`,
such that `ξ` is mutually singular with respect to `ν` and `μ = ξ + ν.withDensity f`
* `MeasureTheory.Measure.singularPart` : If a pair of measures `HaveLebesgueDecomposition`,
then `singularPart` chooses the measure from `HaveLebesgueDecomposition`, otherwise it
returns the zero measure.
* `MeasureTheory.Measure.rnDeriv`: If a pair of measures
`HaveLebesgueDecomposition`, then `rnDeriv` chooses the measurable function from
`HaveLebesgueDecomposition`, otherwise it returns the zero function.
## Main results
* `MeasureTheory.Measure.haveLebesgueDecomposition_of_sigmaFinite` :
the Lebesgue decomposition theorem.
* `MeasureTheory.Measure.eq_singularPart` : Given measures `μ` and `ν`, if `s` is a measure
mutually singular to `ν` and `f` is a measurable function such that `μ = s + fν`, then
`s = μ.singularPart ν`.
* `MeasureTheory.Measure.eq_rnDeriv` : Given measures `μ` and `ν`, if `s` is a
measure mutually singular to `ν` and `f` is a measurable function such that `μ = s + fν`,
then `f = μ.rnDeriv ν`.
## Tags
Lebesgue decomposition theorem
-/
open scoped MeasureTheory NNReal ENNReal
open Set
namespace MeasureTheory
namespace Measure
variable {α β : Type*} {m : MeasurableSpace α} {μ ν : Measure α}
/-- A pair of measures `μ` and `ν` is said to `HaveLebesgueDecomposition` if there exists a
measure `ξ` and a measurable function `f`, such that `ξ` is mutually singular with respect to
`ν` and `μ = ξ + ν.withDensity f`. -/
class HaveLebesgueDecomposition (μ ν : Measure α) : Prop where
lebesgue_decomposition :
∃ p : Measure α × (α → ℝ≥0∞), Measurable p.2 ∧ p.1 ⟂ₘ ν ∧ μ = p.1 + ν.withDensity p.2
#align measure_theory.measure.have_lebesgue_decomposition MeasureTheory.Measure.HaveLebesgueDecomposition
#align measure_theory.measure.have_lebesgue_decomposition.lebesgue_decomposition MeasureTheory.Measure.HaveLebesgueDecomposition.lebesgue_decomposition
open Classical in
/-- If a pair of measures `HaveLebesgueDecomposition`, then `singularPart` chooses the
measure from `HaveLebesgueDecomposition`, otherwise it returns the zero measure. For sigma-finite
measures, `μ = μ.singularPart ν + ν.withDensity (μ.rnDeriv ν)`. -/
noncomputable irreducible_def singularPart (μ ν : Measure α) : Measure α :=
if h : HaveLebesgueDecomposition μ ν then (Classical.choose h.lebesgue_decomposition).1 else 0
#align measure_theory.measure.singular_part MeasureTheory.Measure.singularPart
open Classical in
/-- If a pair of measures `HaveLebesgueDecomposition`, then `rnDeriv` chooses the
measurable function from `HaveLebesgueDecomposition`, otherwise it returns the zero function.
For sigma-finite measures, `μ = μ.singularPart ν + ν.withDensity (μ.rnDeriv ν)`. -/
noncomputable irreducible_def rnDeriv (μ ν : Measure α) : α → ℝ≥0∞ :=
if h : HaveLebesgueDecomposition μ ν then (Classical.choose h.lebesgue_decomposition).2 else 0
#align measure_theory.measure.rn_deriv MeasureTheory.Measure.rnDeriv
section ByDefinition
theorem haveLebesgueDecomposition_spec (μ ν : Measure α) [h : HaveLebesgueDecomposition μ ν] :
Measurable (μ.rnDeriv ν) ∧
μ.singularPart ν ⟂ₘ ν ∧ μ = μ.singularPart ν + ν.withDensity (μ.rnDeriv ν) := by
rw [singularPart, rnDeriv, dif_pos h, dif_pos h]
exact Classical.choose_spec h.lebesgue_decomposition
#align measure_theory.measure.have_lebesgue_decomposition_spec MeasureTheory.Measure.haveLebesgueDecomposition_spec
lemma rnDeriv_of_not_haveLebesgueDecomposition (h : ¬ HaveLebesgueDecomposition μ ν) :
μ.rnDeriv ν = 0 := by
rw [rnDeriv, dif_neg h]
lemma singularPart_of_not_haveLebesgueDecomposition (h : ¬ HaveLebesgueDecomposition μ ν) :
μ.singularPart ν = 0 := by
rw [singularPart, dif_neg h]
@[measurability]
theorem measurable_rnDeriv (μ ν : Measure α) : Measurable <| μ.rnDeriv ν := by
by_cases h : HaveLebesgueDecomposition μ ν
· exact (haveLebesgueDecomposition_spec μ ν).1
· rw [rnDeriv_of_not_haveLebesgueDecomposition h]
exact measurable_zero
#align measure_theory.measure.measurable_rn_deriv MeasureTheory.Measure.measurable_rnDeriv
| Mathlib/MeasureTheory/Decomposition/Lebesgue.lean | 109 | 113 | theorem mutuallySingular_singularPart (μ ν : Measure α) : μ.singularPart ν ⟂ₘ ν := by |
by_cases h : HaveLebesgueDecomposition μ ν
· exact (haveLebesgueDecomposition_spec μ ν).2.1
· rw [singularPart_of_not_haveLebesgueDecomposition h]
exact MutuallySingular.zero_left
|
/-
Copyright (c) 2022 Yuyang Zhao. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yuyang Zhao
-/
import Batteries.Classes.Order
namespace Batteries.PairingHeapImp
/--
A `Heap` is the nodes of the pairing heap.
Each node have two pointers: `child` going to the first child of this node,
and `sibling` goes to the next sibling of this tree.
So it actually encodes a forest where each node has children
`node.child`, `node.child.sibling`, `node.child.sibling.sibling`, etc.
Each edge in this forest denotes a `le a b` relation that has been checked, so
the root is smaller than everything else under it.
-/
inductive Heap (α : Type u) where
/-- An empty forest, which has depth `0`. -/
| nil : Heap α
/-- A forest consists of a root `a`, a forest `child` elements greater than `a`,
and another forest `sibling`. -/
| node (a : α) (child sibling : Heap α) : Heap α
deriving Repr
/-- `O(n)`. The number of elements in the heap. -/
def Heap.size : Heap α → Nat
| .nil => 0
| .node _ c s => c.size + 1 + s.size
/-- A node containing a single element `a`. -/
def Heap.singleton (a : α) : Heap α := .node a .nil .nil
/-- `O(1)`. Is the heap empty? -/
def Heap.isEmpty : Heap α → Bool
| .nil => true
| _ => false
/-- `O(1)`. Merge two heaps. Ignore siblings. -/
@[specialize] def Heap.merge (le : α → α → Bool) : Heap α → Heap α → Heap α
| .nil, .nil => .nil
| .nil, .node a₂ c₂ _ => .node a₂ c₂ .nil
| .node a₁ c₁ _, .nil => .node a₁ c₁ .nil
| .node a₁ c₁ _, .node a₂ c₂ _ =>
if le a₁ a₂ then .node a₁ (.node a₂ c₂ c₁) .nil else .node a₂ (.node a₁ c₁ c₂) .nil
/-- Auxiliary for `Heap.deleteMin`: merge the forest in pairs. -/
@[specialize] def Heap.combine (le : α → α → Bool) : Heap α → Heap α
| h₁@(.node _ _ h₂@(.node _ _ s)) => merge le (merge le h₁ h₂) (s.combine le)
| h => h
/-- `O(1)`. Get the smallest element in the heap, including the passed in value `a`. -/
@[inline] def Heap.headD (a : α) : Heap α → α
| .nil => a
| .node a _ _ => a
/-- `O(1)`. Get the smallest element in the heap, if it has an element. -/
@[inline] def Heap.head? : Heap α → Option α
| .nil => none
| .node a _ _ => some a
/-- Amortized `O(log n)`. Find and remove the the minimum element from the heap. -/
@[inline] def Heap.deleteMin (le : α → α → Bool) : Heap α → Option (α × Heap α)
| .nil => none
| .node a c _ => (a, combine le c)
/-- Amortized `O(log n)`. Get the tail of the pairing heap after removing the minimum element. -/
@[inline] def Heap.tail? (le : α → α → Bool) (h : Heap α) : Option (Heap α) :=
deleteMin le h |>.map (·.snd)
/-- Amortized `O(log n)`. Remove the minimum element of the heap. -/
@[inline] def Heap.tail (le : α → α → Bool) (h : Heap α) : Heap α :=
tail? le h |>.getD .nil
/-- A predicate says there is no more than one tree. -/
inductive Heap.NoSibling : Heap α → Prop
/-- An empty heap is no more than one tree. -/
| nil : NoSibling .nil
/-- Or there is exactly one tree. -/
| node (a c) : NoSibling (.node a c .nil)
instance : Decidable (Heap.NoSibling s) :=
match s with
| .nil => isTrue .nil
| .node a c .nil => isTrue (.node a c)
| .node _ _ (.node _ _ _) => isFalse nofun
theorem Heap.noSibling_merge (le) (s₁ s₂ : Heap α) :
(s₁.merge le s₂).NoSibling := by
unfold merge
(split <;> try split) <;> constructor
theorem Heap.noSibling_combine (le) (s : Heap α) :
(s.combine le).NoSibling := by
unfold combine; split
· exact noSibling_merge _ _ _
· match s with
| nil | node _ _ nil => constructor
| node _ _ (node _ _ s) => rename_i h; exact (h _ _ _ _ _ rfl).elim
theorem Heap.noSibling_deleteMin {s : Heap α} (eq : s.deleteMin le = some (a, s')) :
s'.NoSibling := by
cases s with cases eq | node a c => exact noSibling_combine _ _
theorem Heap.noSibling_tail? {s : Heap α} : s.tail? le = some s' →
s'.NoSibling := by
simp only [Heap.tail?]; intro eq
match eq₂ : s.deleteMin le, eq with
| some (a, tl), rfl => exact noSibling_deleteMin eq₂
theorem Heap.noSibling_tail (le) (s : Heap α) : (s.tail le).NoSibling := by
simp only [Heap.tail]
match eq : s.tail? le with
| none => cases s with cases eq | nil => constructor
| some tl => exact Heap.noSibling_tail? eq
theorem Heap.size_merge_node (le) (a₁ : α) (c₁ s₁ : Heap α) (a₂ : α) (c₂ s₂ : Heap α) :
(merge le (.node a₁ c₁ s₁) (.node a₂ c₂ s₂)).size = c₁.size + c₂.size + 2 := by
unfold merge; dsimp; split <;> simp_arith [size]
theorem Heap.size_merge (le) {s₁ s₂ : Heap α} (h₁ : s₁.NoSibling) (h₂ : s₂.NoSibling) :
(merge le s₁ s₂).size = s₁.size + s₂.size := by
match h₁, h₂ with
| .nil, .nil | .nil, .node _ _ | .node _ _, .nil => simp [size]
| .node _ _, .node _ _ => unfold merge; dsimp; split <;> simp_arith [size]
| .lake/packages/batteries/Batteries/Data/PairingHeap.lean | 129 | 136 | theorem Heap.size_combine (le) (s : Heap α) :
(s.combine le).size = s.size := by |
unfold combine; split
· rename_i a₁ c₁ a₂ c₂ s
rw [size_merge le (noSibling_merge _ _ _) (noSibling_combine _ _),
size_merge_node, size_combine le s]
simp_arith [size]
· rfl
|
/-
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.Algebra.Group.Defs
import Mathlib.Control.Functor
#align_import control.applicative from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025"
/-!
# `applicative` instances
This file provides `Applicative` instances for concrete functors:
* `id`
* `Functor.comp`
* `Functor.const`
* `Functor.add_const`
-/
universe u v w
section Lemmas
open Function
variable {F : Type u → Type v}
variable [Applicative F] [LawfulApplicative F]
variable {α β γ σ : Type u}
theorem Applicative.map_seq_map (f : α → β → γ) (g : σ → β) (x : F α) (y : F σ) :
f <$> x <*> g <$> y = ((· ∘ g) ∘ f) <$> x <*> y := by
simp [flip, functor_norm]
#align applicative.map_seq_map Applicative.map_seq_map
| Mathlib/Control/Applicative.lean | 36 | 37 | theorem Applicative.pure_seq_eq_map' (f : α → β) : ((pure f : F (α → β)) <*> ·) = (f <$> ·) := by |
ext; simp [functor_norm]
|
/-
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]
| Mathlib/Data/Finset/Option.lean | 98 | 99 | theorem mem_eraseNone {s : Finset (Option α)} {x : α} : x ∈ eraseNone s ↔ some x ∈ s := by |
simp [eraseNone]
|
/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yury Kudryashov
-/
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.NormedSpace.FiniteDimension
#align_import analysis.calculus.bump_function_inner from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
/-!
# Infinitely smooth "bump" functions
A smooth bump function is an infinitely smooth function `f : E → ℝ` supported on a ball
that is equal to `1` on a ball of smaller radius.
These functions have many uses in real analysis. E.g.,
- they can be used to construct a smooth partition of unity which is a very useful tool;
- they can be used to approximate a continuous function by infinitely smooth functions.
There are two classes of spaces where bump functions are guaranteed to exist:
inner product spaces and finite dimensional spaces.
In this file we define a typeclass `HasContDiffBump`
saying that a normed space has a family of smooth bump functions with certain properties.
We also define a structure `ContDiffBump` that holds the center and radii of the balls from above.
An element `f : ContDiffBump c` can be coerced to a function which is an infinitely smooth function
such that
- `f` is equal to `1` in `Metric.closedBall c f.rIn`;
- `support f = Metric.ball c f.rOut`;
- `0 ≤ f x ≤ 1` for all `x`.
## Main Definitions
- `ContDiffBump (c : E)`: a structure holding data needed to construct
an infinitely smooth bump function.
- `ContDiffBumpBase (E : Type*)`: a family of infinitely smooth bump functions
that can be used to construct coercion of a `ContDiffBump (c : E)`
to a function.
- `HasContDiffBump (E : Type*)`: a typeclass saying that `E` has a `ContDiffBumpBase`.
Two instances of this typeclass (for inner product spaces and for finite dimensional spaces)
are provided elsewhere.
## Keywords
smooth function, smooth bump function
-/
noncomputable section
open Function Set Filter
open scoped Topology Filter
variable {E X : Type*}
/-- `f : ContDiffBump c`, where `c` is a point in a normed vector space, is a
bundled smooth function such that
- `f` is equal to `1` in `Metric.closedBall c f.rIn`;
- `support f = Metric.ball c f.rOut`;
- `0 ≤ f x ≤ 1` for all `x`.
The structure `ContDiffBump` contains the data required to construct the function:
real numbers `rIn`, `rOut`, and proofs of `0 < rIn < rOut`. The function itself is available through
`CoeFun` when the space is nice enough, i.e., satisfies the `HasContDiffBump` typeclass. -/
structure ContDiffBump (c : E) where
/-- real numbers `0 < rIn < rOut` -/
(rIn rOut : ℝ)
rIn_pos : 0 < rIn
rIn_lt_rOut : rIn < rOut
#align cont_diff_bump ContDiffBump
#align cont_diff_bump.r ContDiffBump.rIn
set_option linter.uppercaseLean3 false in
#align cont_diff_bump.R ContDiffBump.rOut
#align cont_diff_bump.r_pos ContDiffBump.rIn_pos
set_option linter.uppercaseLean3 false in
#align cont_diff_bump.r_lt_R ContDiffBump.rIn_lt_rOut
/-- The base function from which one will construct a family of bump functions. One could
add more properties if they are useful and satisfied in the examples of inner product spaces
and finite dimensional vector spaces, notably derivative norm control in terms of `R - 1`.
TODO: do we ever need `f x = 1 ↔ ‖x‖ ≤ 1`? -/
-- Porting note(#5171): linter not yet ported; was @[nolint has_nonempty_instance]
structure ContDiffBumpBase (E : Type*) [NormedAddCommGroup E] [NormedSpace ℝ E] where
/-- The function underlying this family of bump functions -/
toFun : ℝ → E → ℝ
mem_Icc : ∀ (R : ℝ) (x : E), toFun R x ∈ Icc (0 : ℝ) 1
symmetric : ∀ (R : ℝ) (x : E), toFun R (-x) = toFun R x
smooth : ContDiffOn ℝ ⊤ (uncurry toFun) (Ioi (1 : ℝ) ×ˢ (univ : Set E))
eq_one : ∀ R : ℝ, 1 < R → ∀ x : E, ‖x‖ ≤ 1 → toFun R x = 1
support : ∀ R : ℝ, 1 < R → Function.support (toFun R) = Metric.ball (0 : E) R
#align cont_diff_bump_base ContDiffBumpBase
/-- A class registering that a real vector space admits bump functions. This will be instantiated
first for inner product spaces, and then for finite-dimensional normed spaces.
We use a specific class instead of `Nonempty (ContDiffBumpBase E)` for performance reasons. -/
class HasContDiffBump (E : Type*) [NormedAddCommGroup E] [NormedSpace ℝ E] : Prop where
out : Nonempty (ContDiffBumpBase E)
#align has_cont_diff_bump HasContDiffBump
/-- In a space with `C^∞` bump functions, register some function that will be used as a basis
to construct bump functions of arbitrary size around any point. -/
def someContDiffBumpBase (E : Type*) [NormedAddCommGroup E] [NormedSpace ℝ E]
[hb : HasContDiffBump E] : ContDiffBumpBase E :=
Nonempty.some hb.out
#align some_cont_diff_bump_base someContDiffBumpBase
namespace ContDiffBump
theorem rOut_pos {c : E} (f : ContDiffBump c) : 0 < f.rOut :=
f.rIn_pos.trans f.rIn_lt_rOut
set_option linter.uppercaseLean3 false in
#align cont_diff_bump.R_pos ContDiffBump.rOut_pos
| Mathlib/Analysis/Calculus/BumpFunction/Basic.lean | 118 | 120 | theorem one_lt_rOut_div_rIn {c : E} (f : ContDiffBump c) : 1 < f.rOut / f.rIn := by |
rw [one_lt_div f.rIn_pos]
exact f.rIn_lt_rOut
|
/-
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
-/
import Mathlib.Algebra.Polynomial.Basic
import Mathlib.RingTheory.Ideal.Basic
#align_import data.polynomial.induction from "leanprover-community/mathlib"@"63417e01fbc711beaf25fa73b6edb395c0cfddd0"
/-!
# Induction on polynomials
This file contains lemmas dealing with different flavours of induction on polynomials.
See also `Data/Polynomial/Inductions.lean` (with an `s`!).
The main result is `Polynomial.induction_on`.
-/
noncomputable section
open Finsupp Finset
namespace Polynomial
open Polynomial
universe u v w x y z
variable {R : Type u} {S : Type v} {T : Type w} {ι : Type x} {k : Type y} {A : Type z} {a b : R}
{m n : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
@[elab_as_elim]
protected theorem induction_on {M : R[X] → Prop} (p : R[X]) (h_C : ∀ a, M (C a))
(h_add : ∀ p q, M p → M q → M (p + q))
(h_monomial : ∀ (n : ℕ) (a : R), M (C a * X ^ n) → M (C a * X ^ (n + 1))) : M p := by
have A : ∀ {n : ℕ} {a}, M (C a * X ^ n) := by
intro n a
induction' n with n ih
· rw [pow_zero, mul_one]; exact h_C a
· exact h_monomial _ _ ih
have B : ∀ s : Finset ℕ, M (s.sum fun n : ℕ => C (p.coeff n) * X ^ n) := by
apply Finset.induction
· convert h_C 0
exact C_0.symm
· intro n s ns ih
rw [sum_insert ns]
exact h_add _ _ A ih
rw [← sum_C_mul_X_pow_eq p, Polynomial.sum]
exact B (support p)
#align polynomial.induction_on Polynomial.induction_on
/-- To prove something about polynomials,
it suffices to show the condition is closed under taking sums,
and it holds for monomials.
-/
@[elab_as_elim]
protected theorem induction_on' {M : R[X] → Prop} (p : R[X]) (h_add : ∀ p q, M p → M q → M (p + q))
(h_monomial : ∀ (n : ℕ) (a : R), M (monomial n a)) : M p :=
Polynomial.induction_on p (h_monomial 0) h_add fun n a _h =>
by rw [C_mul_X_pow_eq_monomial]; exact h_monomial _ _
#align polynomial.induction_on' Polynomial.induction_on'
open Submodule Polynomial Set
variable {f : R[X]} {I : Ideal R[X]}
/-- If the coefficients of a polynomial belong to an ideal, then that ideal contains
the ideal spanned by the coefficients of the polynomial. -/
theorem span_le_of_C_coeff_mem (cf : ∀ i : ℕ, C (f.coeff i) ∈ I) :
Ideal.span { g | ∃ i, g = C (f.coeff i) } ≤ I := by
simp only [@eq_comm _ _ (C _)]
exact (Ideal.span_le.trans range_subset_iff).mpr cf
set_option linter.uppercaseLean3 false in
#align polynomial.span_le_of_C_coeff_mem Polynomial.span_le_of_C_coeff_mem
| Mathlib/Algebra/Polynomial/Induction.lean | 82 | 94 | theorem mem_span_C_coeff : f ∈ Ideal.span { g : R[X] | ∃ i : ℕ, g = C (coeff f i) } := by |
let p := Ideal.span { g : R[X] | ∃ i : ℕ, g = C (coeff f i) }
nth_rw 1 [(sum_C_mul_X_pow_eq f).symm]
refine Submodule.sum_mem _ fun n _hn => ?_
dsimp
have : C (coeff f n) ∈ p := by
apply subset_span
rw [mem_setOf_eq]
use n
have : monomial n (1 : R) • C (coeff f n) ∈ p := p.smul_mem _ this
convert this using 1
simp only [monomial_mul_C, one_mul, smul_eq_mul]
rw [← C_mul_X_pow_eq_monomial]
|
/-
Copyright (c) 2021 Rémy Degenne. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Zhouhang Zhou, Yury Kudryashov
-/
import Mathlib.MeasureTheory.Function.L1Space
import Mathlib.Analysis.NormedSpace.IndicatorFunction
#align_import measure_theory.integral.integrable_on from "leanprover-community/mathlib"@"8b8ba04e2f326f3f7cf24ad129beda58531ada61"
/-! # Functions integrable on a set and at a filter
We define `IntegrableOn f s μ := Integrable f (μ.restrict s)` and prove theorems like
`integrableOn_union : IntegrableOn f (s ∪ t) μ ↔ IntegrableOn f s μ ∧ IntegrableOn f t μ`.
Next we define a predicate `IntegrableAtFilter (f : α → E) (l : Filter α) (μ : Measure α)`
saying that `f` is integrable at some set `s ∈ l` and prove that a measurable function is integrable
at `l` with respect to `μ` provided that `f` is bounded above at `l ⊓ ae μ` and `μ` is finite
at `l`.
-/
noncomputable section
open Set Filter TopologicalSpace MeasureTheory Function
open scoped Classical Topology Interval Filter ENNReal MeasureTheory
variable {α β E F : Type*} [MeasurableSpace α]
section
variable [TopologicalSpace β] {l l' : Filter α} {f g : α → β} {μ ν : Measure α}
/-- A function `f` is strongly measurable at a filter `l` w.r.t. a measure `μ` if it is
ae strongly measurable w.r.t. `μ.restrict s` for some `s ∈ l`. -/
def StronglyMeasurableAtFilter (f : α → β) (l : Filter α) (μ : Measure α := by volume_tac) :=
∃ s ∈ l, AEStronglyMeasurable f (μ.restrict s)
#align strongly_measurable_at_filter StronglyMeasurableAtFilter
@[simp]
theorem stronglyMeasurableAt_bot {f : α → β} : StronglyMeasurableAtFilter f ⊥ μ :=
⟨∅, mem_bot, by simp⟩
#align strongly_measurable_at_bot stronglyMeasurableAt_bot
protected theorem StronglyMeasurableAtFilter.eventually (h : StronglyMeasurableAtFilter f l μ) :
∀ᶠ s in l.smallSets, AEStronglyMeasurable f (μ.restrict s) :=
(eventually_smallSets' fun _ _ => AEStronglyMeasurable.mono_set).2 h
#align strongly_measurable_at_filter.eventually StronglyMeasurableAtFilter.eventually
protected theorem StronglyMeasurableAtFilter.filter_mono (h : StronglyMeasurableAtFilter f l μ)
(h' : l' ≤ l) : StronglyMeasurableAtFilter f l' μ :=
let ⟨s, hsl, hs⟩ := h
⟨s, h' hsl, hs⟩
#align strongly_measurable_at_filter.filter_mono StronglyMeasurableAtFilter.filter_mono
protected theorem MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter
(h : AEStronglyMeasurable f μ) : StronglyMeasurableAtFilter f l μ :=
⟨univ, univ_mem, by rwa [Measure.restrict_univ]⟩
#align measure_theory.ae_strongly_measurable.strongly_measurable_at_filter MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter
theorem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem {s}
(h : AEStronglyMeasurable f (μ.restrict s)) (hl : s ∈ l) : StronglyMeasurableAtFilter f l μ :=
⟨s, hl, h⟩
#align ae_strongly_measurable.strongly_measurable_at_filter_of_mem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem
protected theorem MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter
(h : StronglyMeasurable f) : StronglyMeasurableAtFilter f l μ :=
h.aestronglyMeasurable.stronglyMeasurableAtFilter
#align measure_theory.strongly_measurable.strongly_measurable_at_filter MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter
end
namespace MeasureTheory
section NormedAddCommGroup
theorem hasFiniteIntegral_restrict_of_bounded [NormedAddCommGroup E] {f : α → E} {s : Set α}
{μ : Measure α} {C} (hs : μ s < ∞) (hf : ∀ᵐ x ∂μ.restrict s, ‖f x‖ ≤ C) :
HasFiniteIntegral f (μ.restrict s) :=
haveI : IsFiniteMeasure (μ.restrict s) := ⟨by rwa [Measure.restrict_apply_univ]⟩
hasFiniteIntegral_of_bounded hf
#align measure_theory.has_finite_integral_restrict_of_bounded MeasureTheory.hasFiniteIntegral_restrict_of_bounded
variable [NormedAddCommGroup E] {f g : α → E} {s t : Set α} {μ ν : Measure α}
/-- A function is `IntegrableOn` a set `s` if it is almost everywhere strongly measurable on `s`
and if the integral of its pointwise norm over `s` is less than infinity. -/
def IntegrableOn (f : α → E) (s : Set α) (μ : Measure α := by volume_tac) : Prop :=
Integrable f (μ.restrict s)
#align measure_theory.integrable_on MeasureTheory.IntegrableOn
theorem IntegrableOn.integrable (h : IntegrableOn f s μ) : Integrable f (μ.restrict s) :=
h
#align measure_theory.integrable_on.integrable MeasureTheory.IntegrableOn.integrable
@[simp]
| Mathlib/MeasureTheory/Integral/IntegrableOn.lean | 99 | 99 | theorem integrableOn_empty : IntegrableOn f ∅ μ := by | simp [IntegrableOn, integrable_zero_measure]
|
/-
Copyright (c) 2024 María Inés de Frutos-Fernández. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: María Inés de Frutos-Fernández
-/
import Mathlib.Analysis.Normed.Field.Basic
import Mathlib.RingTheory.Valuation.RankOne
import Mathlib.Topology.Algebra.Valuation
/-!
# Correspondence between nontrivial nonarchimedean norms and rank one valuations
Nontrivial nonarchimedean norms correspond to rank one valuations.
## Main Definitions
* `NormedField.toValued` : the valued field structure on a nonarchimedean normed field `K`,
determined by the norm.
* `Valued.toNormedField` : the normed field structure determined by a rank one valuation.
## Tags
norm, nonarchimedean, nontrivial, valuation, rank one
-/
noncomputable section
open Filter Set Valuation
open scoped NNReal
variable {K : Type*} [hK : NormedField K] (h : IsNonarchimedean (norm : K → ℝ))
namespace NormedField
/-- The valuation on a nonarchimedean normed field `K` defined as `nnnorm`. -/
def valuation : Valuation K ℝ≥0 where
toFun := nnnorm
map_zero' := nnnorm_zero
map_one' := nnnorm_one
map_mul' := nnnorm_mul
map_add_le_max' := h
theorem valuation_apply (x : K) : valuation h x = ‖x‖₊ := rfl
/-- The valued field structure on a nonarchimedean normed field `K`, determined by the norm. -/
def toValued : Valued K ℝ≥0 :=
{ hK.toUniformSpace,
@NonUnitalNormedRing.toNormedAddCommGroup K _ with
v := valuation h
is_topological_valuation := fun U => by
rw [Metric.mem_nhds_iff]
exact ⟨fun ⟨ε, hε, h⟩ =>
⟨Units.mk0 ⟨ε, le_of_lt hε⟩ (ne_of_gt hε), fun x hx ↦ h (mem_ball_zero_iff.mpr hx)⟩,
fun ⟨ε, hε⟩ => ⟨(ε : ℝ), NNReal.coe_pos.mpr (Units.zero_lt _),
fun x hx ↦ hε (mem_ball_zero_iff.mp hx)⟩⟩ }
end NormedField
namespace Valued
variable {L : Type*} [Field L] {Γ₀ : Type*} [LinearOrderedCommGroupWithZero Γ₀]
[val : Valued L Γ₀] [hv : RankOne val.v]
/-- The norm function determined by a rank one valuation on a field `L`. -/
def norm : L → ℝ := fun x : L => hv.hom (Valued.v x)
theorem norm_nonneg (x : L) : 0 ≤ norm x := by simp only [norm, NNReal.zero_le_coe]
| Mathlib/Topology/Algebra/NormedValued.lean | 70 | 72 | theorem norm_add_le (x y : L) : norm (x + y) ≤ max (norm x) (norm y) := by |
simp only [norm, NNReal.coe_le_coe, le_max_iff, StrictMono.le_iff_le hv.strictMono]
exact le_max_iff.mp (Valuation.map_add_le_max' val.v _ _)
|
/-
Copyright (c) 2022 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn
-/
import Mathlib.MeasureTheory.Integral.Bochner
import Mathlib.MeasureTheory.Group.Measure
#align_import measure_theory.group.integration from "leanprover-community/mathlib"@"ec247d43814751ffceb33b758e8820df2372bf6f"
/-!
# Bochner Integration on Groups
We develop properties of integrals with a group as domain.
This file contains properties about integrability and Bochner integration.
-/
namespace MeasureTheory
open Measure TopologicalSpace
open scoped ENNReal
variable {𝕜 M α G E F : Type*} [MeasurableSpace G]
variable [NormedAddCommGroup E] [NormedSpace ℝ E] [CompleteSpace E] [NormedAddCommGroup F]
variable {μ : Measure G} {f : G → E} {g : G}
section MeasurableInv
variable [Group G] [MeasurableInv G]
@[to_additive]
theorem Integrable.comp_inv [IsInvInvariant μ] {f : G → F} (hf : Integrable f μ) :
Integrable (fun t => f t⁻¹) μ :=
(hf.mono_measure (map_inv_eq_self μ).le).comp_measurable measurable_inv
#align measure_theory.integrable.comp_inv MeasureTheory.Integrable.comp_inv
#align measure_theory.integrable.comp_neg MeasureTheory.Integrable.comp_neg
@[to_additive]
theorem integral_inv_eq_self (f : G → E) (μ : Measure G) [IsInvInvariant μ] :
∫ x, f x⁻¹ ∂μ = ∫ x, f x ∂μ := by
have h : MeasurableEmbedding fun x : G => x⁻¹ := (MeasurableEquiv.inv G).measurableEmbedding
rw [← h.integral_map, map_inv_eq_self]
#align measure_theory.integral_inv_eq_self MeasureTheory.integral_inv_eq_self
#align measure_theory.integral_neg_eq_self MeasureTheory.integral_neg_eq_self
end MeasurableInv
section MeasurableMul
variable [Group G] [MeasurableMul G]
/-- Translating a function by left-multiplication does not change its integral with respect to a
left-invariant measure. -/
@[to_additive
"Translating a function by left-addition does not change its integral with respect to a
left-invariant measure."] -- Porting note: was `@[simp]`
theorem integral_mul_left_eq_self [IsMulLeftInvariant μ] (f : G → E) (g : G) :
(∫ x, f (g * x) ∂μ) = ∫ x, f x ∂μ := by
have h_mul : MeasurableEmbedding fun x => g * x := (MeasurableEquiv.mulLeft g).measurableEmbedding
rw [← h_mul.integral_map, map_mul_left_eq_self]
#align measure_theory.integral_mul_left_eq_self MeasureTheory.integral_mul_left_eq_self
#align measure_theory.integral_add_left_eq_self MeasureTheory.integral_add_left_eq_self
/-- Translating a function by right-multiplication does not change its integral with respect to a
right-invariant measure. -/
@[to_additive
"Translating a function by right-addition does not change its integral with respect to a
right-invariant measure."] -- Porting note: was `@[simp]`
| Mathlib/MeasureTheory/Group/Integral.lean | 70 | 74 | theorem integral_mul_right_eq_self [IsMulRightInvariant μ] (f : G → E) (g : G) :
(∫ x, f (x * g) ∂μ) = ∫ x, f x ∂μ := by |
have h_mul : MeasurableEmbedding fun x => x * g :=
(MeasurableEquiv.mulRight g).measurableEmbedding
rw [← h_mul.integral_map, map_mul_right_eq_self]
|
/-
Copyright (c) 2022 Bolton Bailey. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Bolton Bailey, Chris Hughes, Abhimanyu Pallavi Sudhir, Jean Lo, Calle Sönne
-/
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.Data.Int.Log
#align_import analysis.special_functions.log.base from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
/-!
# Real logarithm base `b`
In this file we define `Real.logb` to be the logarithm of a real number in a given base `b`. We
define this as the division of the natural logarithms of the argument and the base, so that we have
a globally defined function with `logb b 0 = 0`, `logb b (-x) = logb b x` `logb 0 x = 0` and
`logb (-b) x = logb b x`.
We prove some basic properties of this function and its relation to `rpow`.
## Tags
logarithm, continuity
-/
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {b x y : ℝ}
/-- The real logarithm in a given base. As with the natural logarithm, we define `logb b x` to
be `logb b |x|` for `x < 0`, and `0` for `x = 0`. -/
-- @[pp_nodot] -- Porting note: removed
noncomputable def logb (b x : ℝ) : ℝ :=
log x / log b
#align real.logb Real.logb
theorem log_div_log : log x / log b = logb b x :=
rfl
#align real.log_div_log Real.log_div_log
@[simp]
theorem logb_zero : logb b 0 = 0 := by simp [logb]
#align real.logb_zero Real.logb_zero
@[simp]
theorem logb_one : logb b 1 = 0 := by simp [logb]
#align real.logb_one Real.logb_one
@[simp]
lemma logb_self_eq_one (hb : 1 < b) : logb b b = 1 :=
div_self (log_pos hb).ne'
lemma logb_self_eq_one_iff : logb b b = 1 ↔ b ≠ 0 ∧ b ≠ 1 ∧ b ≠ -1 :=
Iff.trans ⟨fun h h' => by simp [logb, h'] at h, div_self⟩ log_ne_zero
@[simp]
theorem logb_abs (x : ℝ) : logb b |x| = logb b x := by rw [logb, logb, log_abs]
#align real.logb_abs Real.logb_abs
@[simp]
theorem logb_neg_eq_logb (x : ℝ) : logb b (-x) = logb b x := by
rw [← logb_abs x, ← logb_abs (-x), abs_neg]
#align real.logb_neg_eq_logb Real.logb_neg_eq_logb
theorem logb_mul (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x * y) = logb b x + logb b y := by
simp_rw [logb, log_mul hx hy, add_div]
#align real.logb_mul Real.logb_mul
theorem logb_div (hx : x ≠ 0) (hy : y ≠ 0) : logb b (x / y) = logb b x - logb b y := by
simp_rw [logb, log_div hx hy, sub_div]
#align real.logb_div Real.logb_div
@[simp]
theorem logb_inv (x : ℝ) : logb b x⁻¹ = -logb b x := by simp [logb, neg_div]
#align real.logb_inv Real.logb_inv
theorem inv_logb (a b : ℝ) : (logb a b)⁻¹ = logb b a := by simp_rw [logb, inv_div]
#align real.inv_logb Real.inv_logb
theorem inv_logb_mul_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) :
(logb (a * b) c)⁻¹ = (logb a c)⁻¹ + (logb b c)⁻¹ := by
simp_rw [inv_logb]; exact logb_mul h₁ h₂
#align real.inv_logb_mul_base Real.inv_logb_mul_base
theorem inv_logb_div_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) :
(logb (a / b) c)⁻¹ = (logb a c)⁻¹ - (logb b c)⁻¹ := by
simp_rw [inv_logb]; exact logb_div h₁ h₂
#align real.inv_logb_div_base Real.inv_logb_div_base
theorem logb_mul_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) :
logb (a * b) c = ((logb a c)⁻¹ + (logb b c)⁻¹)⁻¹ := by rw [← inv_logb_mul_base h₁ h₂ c, inv_inv]
#align real.logb_mul_base Real.logb_mul_base
| Mathlib/Analysis/SpecialFunctions/Log/Base.lean | 101 | 102 | theorem logb_div_base {a b : ℝ} (h₁ : a ≠ 0) (h₂ : b ≠ 0) (c : ℝ) :
logb (a / b) c = ((logb a c)⁻¹ - (logb b c)⁻¹)⁻¹ := by | rw [← inv_logb_div_base h₁ h₂ c, inv_inv]
|
/-
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.Fintype.List
#align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49"
/-!
# Cycles of a list
Lists have an equivalence relation of whether they are rotational permutations of one another.
This relation is defined as `IsRotated`.
Based on this, we define the quotient of lists by the rotation relation, called `Cycle`.
We also define a representation of concrete cycles, available when viewing them in a goal state or
via `#eval`, when over representable types. For example, the cycle `(2 1 4 3)` will be shown
as `c[2, 1, 4, 3]`. Two equal cycles may be printed differently if their internal representation
is different.
-/
assert_not_exists MonoidWithZero
namespace List
variable {α : Type*} [DecidableEq α]
/-- Return the `z` such that `x :: z :: _` appears in `xs`, or `default` if there is no such `z`. -/
def nextOr : ∀ (_ : List α) (_ _ : α), α
| [], _, default => default
| [_], _, default => default
-- Handles the not-found and the wraparound case
| y :: z :: xs, x, default => if x = y then z else nextOr (z :: xs) x default
#align list.next_or List.nextOr
@[simp]
theorem nextOr_nil (x d : α) : nextOr [] x d = d :=
rfl
#align list.next_or_nil List.nextOr_nil
@[simp]
theorem nextOr_singleton (x y d : α) : nextOr [y] x d = d :=
rfl
#align list.next_or_singleton List.nextOr_singleton
@[simp]
theorem nextOr_self_cons_cons (xs : List α) (x y d : α) : nextOr (x :: y :: xs) x d = y :=
if_pos rfl
#align list.next_or_self_cons_cons List.nextOr_self_cons_cons
theorem nextOr_cons_of_ne (xs : List α) (y x d : α) (h : x ≠ y) :
nextOr (y :: xs) x d = nextOr xs x d := by
cases' xs with z zs
· rfl
· exact if_neg h
#align list.next_or_cons_of_ne List.nextOr_cons_of_ne
/-- `nextOr` does not depend on the default value, if the next value appears. -/
| Mathlib/Data/List/Cycle.lean | 62 | 73 | theorem nextOr_eq_nextOr_of_mem_of_ne (xs : List α) (x d d' : α) (x_mem : x ∈ xs)
(x_ne : x ≠ xs.getLast (ne_nil_of_mem x_mem)) : nextOr xs x d = nextOr xs x d' := by |
induction' xs with y ys IH
· cases x_mem
cases' ys with z zs
· simp at x_mem x_ne
contradiction
by_cases h : x = y
· rw [h, nextOr_self_cons_cons, nextOr_self_cons_cons]
· rw [nextOr, nextOr, IH]
· simpa [h] using x_mem
· simpa using x_ne
|
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel
-/
import Mathlib.Analysis.Calculus.FDeriv.Equiv
import Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn
#align_import analysis.calculus.inverse from "leanprover-community/mathlib"@"2c1d8ca2812b64f88992a5294ea3dba144755cd1"
/-!
# Inverse function theorem
In this file we prove the inverse function theorem. It says that if a map `f : E → F`
has an invertible strict derivative `f'` at `a`, then it is locally invertible,
and the inverse function has derivative `f' ⁻¹`.
We define `HasStrictFDerivAt.toPartialHomeomorph` that repacks a function `f`
with a `hf : HasStrictFDerivAt f f' a`, `f' : E ≃L[𝕜] F`, into a `PartialHomeomorph`.
The `toFun` of this `PartialHomeomorph` is defeq to `f`, so one can apply theorems
about `PartialHomeomorph` to `hf.toPartialHomeomorph f`, and get statements about `f`.
Then we define `HasStrictFDerivAt.localInverse` to be the `invFun` of this `PartialHomeomorph`,
and prove two versions of the inverse function theorem:
* `HasStrictFDerivAt.to_localInverse`: if `f` has an invertible derivative `f'` at `a` in the
strict sense (`hf`), then `hf.localInverse f f' a` has derivative `f'.symm` at `f a` in the
strict sense;
* `HasStrictFDerivAt.to_local_left_inverse`: if `f` has an invertible derivative `f'` at `a` in
the strict sense and `g` is locally left inverse to `f` near `a`, then `g` has derivative
`f'.symm` at `f a` in the strict sense.
Some related theorems, providing the derivative and higher regularity assuming that we already know
the inverse function, are formulated in the `Analysis/Calculus/FDeriv` and `Analysis/Calculus/Deriv`
folders, and in `ContDiff.lean`.
## Tags
derivative, strictly differentiable, continuously differentiable, smooth, inverse function
-/
open Function Set Filter Metric
open scoped Topology Classical NNReal
noncomputable 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 {ε : ℝ}
open Asymptotics Filter Metric Set
open ContinuousLinearMap (id)
/-!
### Inverse function theorem
Let `f : E → F` be a map defined on a complete vector
space `E`. Assume that `f` has an invertible derivative `f' : E ≃L[𝕜] F` at `a : E` in the strict
sense. Then `f` approximates `f'` in the sense of `ApproximatesLinearOn` on an open neighborhood
of `a`, and we can apply `ApproximatesLinearOn.toPartialHomeomorph` to construct the inverse
function. -/
namespace HasStrictFDerivAt
/-- If `f` has derivative `f'` at `a` in the strict sense and `c > 0`, then `f` approximates `f'`
with constant `c` on some neighborhood of `a`. -/
theorem approximates_deriv_on_nhds {f : E → F} {f' : E →L[𝕜] F} {a : E}
(hf : HasStrictFDerivAt f f' a) {c : ℝ≥0} (hc : Subsingleton E ∨ 0 < c) :
∃ s ∈ 𝓝 a, ApproximatesLinearOn f f' s c := by
cases' hc with hE hc
· refine ⟨univ, IsOpen.mem_nhds isOpen_univ trivial, fun x _ y _ => ?_⟩
simp [@Subsingleton.elim E hE x y]
have := hf.def hc
rw [nhds_prod_eq, Filter.Eventually, mem_prod_same_iff] at this
rcases this with ⟨s, has, hs⟩
exact ⟨s, has, fun x hx y hy => hs (mk_mem_prod hx hy)⟩
#align has_strict_fderiv_at.approximates_deriv_on_nhds HasStrictFDerivAt.approximates_deriv_on_nhds
theorem map_nhds_eq_of_surj [CompleteSpace E] [CompleteSpace F] {f : E → F} {f' : E →L[𝕜] F} {a : E}
(hf : HasStrictFDerivAt f (f' : E →L[𝕜] F) a) (h : LinearMap.range f' = ⊤) :
map f (𝓝 a) = 𝓝 (f a) := by
let f'symm := f'.nonlinearRightInverseOfSurjective h
set c : ℝ≥0 := f'symm.nnnorm⁻¹ / 2 with hc
have f'symm_pos : 0 < f'symm.nnnorm := f'.nonlinearRightInverseOfSurjective_nnnorm_pos h
have cpos : 0 < c := by simp [hc, half_pos, inv_pos, f'symm_pos]
obtain ⟨s, s_nhds, hs⟩ : ∃ s ∈ 𝓝 a, ApproximatesLinearOn f f' s c :=
hf.approximates_deriv_on_nhds (Or.inr cpos)
apply hs.map_nhds_eq f'symm s_nhds (Or.inr (NNReal.half_lt_self _))
simp [ne_of_gt f'symm_pos]
#align has_strict_fderiv_at.map_nhds_eq_of_surj HasStrictFDerivAt.map_nhds_eq_of_surj
variable [CompleteSpace E] {f : E → F} {f' : E ≃L[𝕜] F} {a : E}
| Mathlib/Analysis/Calculus/InverseFunctionTheorem/FDeriv.lean | 101 | 108 | theorem approximates_deriv_on_open_nhds (hf : HasStrictFDerivAt f (f' : E →L[𝕜] F) a) :
∃ s : Set E, a ∈ s ∧ IsOpen s ∧
ApproximatesLinearOn f (f' : E →L[𝕜] F) s (‖(f'.symm : F →L[𝕜] E)‖₊⁻¹ / 2) := by |
simp only [← and_assoc]
refine ((nhds_basis_opens a).exists_iff fun s t => ApproximatesLinearOn.mono_set).1 ?_
exact
hf.approximates_deriv_on_nhds <|
f'.subsingleton_or_nnnorm_symm_pos.imp id fun hf' => half_pos <| inv_pos.2 hf'
|
/-
Copyright (c) 2021 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Ring.Invertible
import Mathlib.Data.Nat.Cast.Order
#align_import algebra.order.invertible from "leanprover-community/mathlib"@"ee0c179cd3c8a45aa5bffbf1b41d8dbede452865"
/-!
# Lemmas about `invOf` in ordered (semi)rings.
-/
variable {α : Type*} [LinearOrderedSemiring α] {a : α}
@[simp]
theorem invOf_pos [Invertible a] : 0 < ⅟ a ↔ 0 < a :=
haveI : 0 < a * ⅟ a := by simp only [mul_invOf_self, zero_lt_one]
⟨fun h => pos_of_mul_pos_left this h.le, fun h => pos_of_mul_pos_right this h.le⟩
#align inv_of_pos invOf_pos
@[simp]
theorem invOf_nonpos [Invertible a] : ⅟ a ≤ 0 ↔ a ≤ 0 := by simp only [← not_lt, invOf_pos]
#align inv_of_nonpos invOf_nonpos
@[simp]
| Mathlib/Algebra/Order/Invertible.lean | 29 | 31 | theorem invOf_nonneg [Invertible a] : 0 ≤ ⅟ a ↔ 0 ≤ a :=
haveI : 0 < a * ⅟ a := by | simp only [mul_invOf_self, zero_lt_one]
⟨fun h => (pos_of_mul_pos_left this h).le, fun h => (pos_of_mul_pos_right this h).le⟩
|
/-
Copyright (c) 2023 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.Algebra.Lie.CartanSubalgebra
import Mathlib.Algebra.Lie.Weights.Basic
/-!
# Weights and roots of Lie modules and Lie algebras with respect to Cartan subalgebras
Given a Lie algebra `L` which is not necessarily nilpotent, it may be useful to study its
representations by restricting them to a nilpotent subalgebra (e.g., a Cartan subalgebra). In the
particular case when we view `L` as a module over itself via the adjoint action, the weight spaces
of `L` restricted to a nilpotent subalgebra are known as root spaces.
Basic definitions and properties of the above ideas are provided in this file.
## Main definitions
* `LieAlgebra.rootSpace`
* `LieAlgebra.corootSpace`
* `LieAlgebra.rootSpaceWeightSpaceProduct`
* `LieAlgebra.rootSpaceProduct`
* `LieAlgebra.zeroRootSubalgebra_eq_iff_is_cartan`
-/
suppress_compilation
open Set
variable {R L : Type*} [CommRing R] [LieRing L] [LieAlgebra R L]
(H : LieSubalgebra R L) [LieAlgebra.IsNilpotent R H]
{M : Type*} [AddCommGroup M] [Module R M] [LieRingModule L M] [LieModule R L M]
namespace LieAlgebra
open scoped TensorProduct
open TensorProduct.LieModule LieModule
/-- Given a nilpotent Lie subalgebra `H ⊆ L`, the root space of a map `χ : H → R` is the weight
space of `L` regarded as a module of `H` via the adjoint action. -/
abbrev rootSpace (χ : H → R) : LieSubmodule R H L :=
weightSpace L χ
#align lie_algebra.root_space LieAlgebra.rootSpace
theorem zero_rootSpace_eq_top_of_nilpotent [IsNilpotent R L] :
rootSpace (⊤ : LieSubalgebra R L) 0 = ⊤ :=
zero_weightSpace_eq_top_of_nilpotent L
#align lie_algebra.zero_root_space_eq_top_of_nilpotent LieAlgebra.zero_rootSpace_eq_top_of_nilpotent
@[simp]
theorem rootSpace_comap_eq_weightSpace (χ : H → R) :
(rootSpace H χ).comap H.incl' = weightSpace H χ :=
comap_weightSpace_eq_of_injective Subtype.coe_injective
#align lie_algebra.root_space_comap_eq_weight_space LieAlgebra.rootSpace_comap_eq_weightSpace
variable {H}
| Mathlib/Algebra/Lie/Weights/Cartan.lean | 61 | 69 | theorem lie_mem_weightSpace_of_mem_weightSpace {χ₁ χ₂ : H → R} {x : L} {m : M}
(hx : x ∈ rootSpace H χ₁) (hm : m ∈ weightSpace M χ₂) : ⁅x, m⁆ ∈ weightSpace M (χ₁ + χ₂) := by |
rw [weightSpace, LieSubmodule.mem_iInf]
intro y
replace hx : x ∈ weightSpaceOf L (χ₁ y) y := by
rw [rootSpace, weightSpace, LieSubmodule.mem_iInf] at hx; exact hx y
replace hm : m ∈ weightSpaceOf M (χ₂ y) y := by
rw [weightSpace, LieSubmodule.mem_iInf] at hm; exact hm y
exact lie_mem_maxGenEigenspace_toEnd hx hm
|
/-
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]
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]
set_option linter.uppercaseLean3 false in
#align polynomial.content_C Polynomial.content_C
@[simp]
theorem content_zero : content (0 : R[X]) = 0 := by rw [← C_0, content_C, normalize_zero]
#align polynomial.content_zero Polynomial.content_zero
@[simp]
theorem content_one : content (1 : R[X]) = 1 := by rw [← C_1, content_C, normalize_one]
#align polynomial.content_one Polynomial.content_one
theorem content_X_mul {p : R[X]} : content (X * p) = content p := by
rw [content, content, Finset.gcd_def, Finset.gcd_def]
refine congr rfl ?_
have h : (X * p).support = p.support.map ⟨Nat.succ, Nat.succ_injective⟩ := by
ext a
simp only [exists_prop, Finset.mem_map, Function.Embedding.coeFn_mk, Ne, mem_support_iff]
cases' a with a
· simp [coeff_X_mul_zero, Nat.succ_ne_zero]
rw [mul_comm, coeff_mul_X]
constructor
· intro h
use a
· rintro ⟨b, ⟨h1, h2⟩⟩
rw [← Nat.succ_injective h2]
apply h1
rw [h]
simp only [Finset.map_val, Function.comp_apply, Function.Embedding.coeFn_mk, Multiset.map_map]
refine congr (congr rfl ?_) rfl
ext a
rw [mul_comm]
simp [coeff_mul_X]
set_option linter.uppercaseLean3 false in
#align polynomial.content_X_mul Polynomial.content_X_mul
@[simp]
theorem content_X_pow {k : ℕ} : content ((X : R[X]) ^ k) = 1 := by
induction' k with k hi
· simp
rw [pow_succ', content_X_mul, hi]
set_option linter.uppercaseLean3 false in
#align polynomial.content_X_pow Polynomial.content_X_pow
@[simp]
theorem content_X : content (X : R[X]) = 1 := by rw [← mul_one X, content_X_mul, content_one]
set_option linter.uppercaseLean3 false in
#align polynomial.content_X Polynomial.content_X
| Mathlib/RingTheory/Polynomial/Content.lean | 146 | 149 | theorem content_C_mul (r : R) (p : R[X]) : (C r * p).content = normalize r * p.content := by |
by_cases h0 : r = 0; · simp [h0]
rw [content]; rw [content]; rw [← Finset.gcd_mul_left]
refine congr (congr rfl ?_) ?_ <;> ext <;> simp [h0, mem_support_iff]
|
/-
Copyright (c) 2021 Patrick Stevens. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Patrick Stevens, Thomas Browning
-/
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Tactic.Ring
import Mathlib.Tactic.Linarith
#align_import data.nat.choose.central from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
/-!
# Central binomial coefficients
This file proves properties of the central binomial coefficients (that is, `Nat.choose (2 * n) n`).
## Main definition and results
* `Nat.centralBinom`: the central binomial coefficient, `(2 * n).choose n`.
* `Nat.succ_mul_centralBinom_succ`: the inductive relationship between successive central binomial
coefficients.
* `Nat.four_pow_lt_mul_centralBinom`: an exponential lower bound on the central binomial
coefficient.
* `succ_dvd_centralBinom`: The result that `n+1 ∣ n.centralBinom`, ensuring that the explicit
definition of the Catalan numbers is integer-valued.
-/
namespace Nat
/-- The central binomial coefficient, `Nat.choose (2 * n) n`.
-/
def centralBinom (n : ℕ) :=
(2 * n).choose n
#align nat.central_binom Nat.centralBinom
theorem centralBinom_eq_two_mul_choose (n : ℕ) : centralBinom n = (2 * n).choose n :=
rfl
#align nat.central_binom_eq_two_mul_choose Nat.centralBinom_eq_two_mul_choose
theorem centralBinom_pos (n : ℕ) : 0 < centralBinom n :=
choose_pos (Nat.le_mul_of_pos_left _ zero_lt_two)
#align nat.central_binom_pos Nat.centralBinom_pos
theorem centralBinom_ne_zero (n : ℕ) : centralBinom n ≠ 0 :=
(centralBinom_pos n).ne'
#align nat.central_binom_ne_zero Nat.centralBinom_ne_zero
@[simp]
theorem centralBinom_zero : centralBinom 0 = 1 :=
choose_zero_right _
#align nat.central_binom_zero Nat.centralBinom_zero
/-- The central binomial coefficient is the largest binomial coefficient.
-/
theorem choose_le_centralBinom (r n : ℕ) : choose (2 * n) r ≤ centralBinom n :=
calc
(2 * n).choose r ≤ (2 * n).choose (2 * n / 2) := choose_le_middle r (2 * n)
_ = (2 * n).choose n := by rw [Nat.mul_div_cancel_left n zero_lt_two]
#align nat.choose_le_central_binom Nat.choose_le_centralBinom
theorem two_le_centralBinom (n : ℕ) (n_pos : 0 < n) : 2 ≤ centralBinom n :=
calc
2 ≤ 2 * n := Nat.le_mul_of_pos_right _ n_pos
_ = (2 * n).choose 1 := (choose_one_right (2 * n)).symm
_ ≤ centralBinom n := choose_le_centralBinom 1 n
#align nat.two_le_central_binom Nat.two_le_centralBinom
/-- An inductive property of the central binomial coefficient.
-/
theorem succ_mul_centralBinom_succ (n : ℕ) :
(n + 1) * centralBinom (n + 1) = 2 * (2 * n + 1) * centralBinom n :=
calc
(n + 1) * (2 * (n + 1)).choose (n + 1) = (2 * n + 2).choose (n + 1) * (n + 1) := mul_comm _ _
_ = (2 * n + 1).choose n * (2 * n + 2) := by rw [choose_succ_right_eq, choose_mul_succ_eq]
_ = 2 * ((2 * n + 1).choose n * (n + 1)) := by ring
_ = 2 * ((2 * n + 1).choose n * (2 * n + 1 - n)) := by rw [two_mul n, add_assoc,
Nat.add_sub_cancel_left]
_ = 2 * ((2 * n).choose n * (2 * n + 1)) := by rw [choose_mul_succ_eq]
_ = 2 * (2 * n + 1) * (2 * n).choose n := by rw [mul_assoc, mul_comm (2 * n + 1)]
#align nat.succ_mul_central_binom_succ Nat.succ_mul_centralBinom_succ
/-- An exponential lower bound on the central binomial coefficient.
This bound is of interest because it appears in
[Tochiori's refinement of Erdős's proof of Bertrand's postulate](tochiori_bertrand).
-/
| Mathlib/Data/Nat/Choose/Central.lean | 88 | 98 | theorem four_pow_lt_mul_centralBinom (n : ℕ) (n_big : 4 ≤ n) : 4 ^ n < n * centralBinom n := by |
induction' n using Nat.strong_induction_on with n IH
rcases lt_trichotomy n 4 with (hn | rfl | hn)
· clear IH; exact False.elim ((not_lt.2 n_big) hn)
· norm_num [centralBinom, choose]
obtain ⟨n, rfl⟩ : ∃ m, n = m + 1 := Nat.exists_eq_succ_of_ne_zero (Nat.not_eq_zero_of_lt hn)
calc
4 ^ (n + 1) < 4 * (n * centralBinom n) := lt_of_eq_of_lt pow_succ' <|
(mul_lt_mul_left <| zero_lt_four' ℕ).mpr (IH n n.lt_succ_self (Nat.le_of_lt_succ hn))
_ ≤ 2 * (2 * n + 1) * centralBinom n := by rw [← mul_assoc]; linarith
_ = (n + 1) * centralBinom (n + 1) := (succ_mul_centralBinom_succ n).symm
|
/-
Copyright (c) 2022 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky
-/
import Mathlib.Algebra.Polynomial.Taylor
import Mathlib.FieldTheory.RatFunc.AsPolynomial
#align_import field_theory.laurent from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
/-!
# Laurent expansions of rational functions
## Main declarations
* `RatFunc.laurent`: the Laurent expansion of the rational function `f` at `r`, as an `AlgHom`.
* `RatFunc.laurent_injective`: the Laurent expansion at `r` is unique
## Implementation details
Implemented as the quotient of two Taylor expansions, over domains.
An auxiliary definition is provided first to make the construction of the `AlgHom` easier,
which works on `CommRing` which are not necessarily domains.
-/
universe u
namespace RatFunc
noncomputable section
open Polynomial
open scoped Classical nonZeroDivisors Polynomial
variable {R : Type u} [CommRing R] [hdomain : IsDomain R] (r s : R) (p q : R[X]) (f : RatFunc R)
theorem taylor_mem_nonZeroDivisors (hp : p ∈ R[X]⁰) : taylor r p ∈ R[X]⁰ := by
rw [mem_nonZeroDivisors_iff]
intro x hx
have : x = taylor (r - r) x := by simp
rwa [this, sub_eq_add_neg, ← taylor_taylor, ← taylor_mul,
LinearMap.map_eq_zero_iff _ (taylor_injective _), mul_right_mem_nonZeroDivisors_eq_zero_iff hp,
LinearMap.map_eq_zero_iff _ (taylor_injective _)] at hx
#align ratfunc.taylor_mem_non_zero_divisors RatFunc.taylor_mem_nonZeroDivisors
/-- The Laurent expansion of rational functions about a value.
Auxiliary definition, usage when over integral domains should prefer `RatFunc.laurent`. -/
def laurentAux : RatFunc R →+* RatFunc R :=
RatFunc.mapRingHom
( { toFun := taylor r
map_add' := map_add (taylor r)
map_mul' := taylor_mul _
map_zero' := map_zero (taylor r)
map_one' := taylor_one r } : R[X] →+* R[X])
(taylor_mem_nonZeroDivisors _)
#align ratfunc.laurent_aux RatFunc.laurentAux
theorem laurentAux_ofFractionRing_mk (q : R[X]⁰) :
laurentAux r (ofFractionRing (Localization.mk p q)) =
ofFractionRing (.mk (taylor r p) ⟨taylor r q, taylor_mem_nonZeroDivisors r q q.prop⟩) :=
map_apply_ofFractionRing_mk _ _ _ _
#align ratfunc.laurent_aux_of_fraction_ring_mk RatFunc.laurentAux_ofFractionRing_mk
theorem laurentAux_div :
laurentAux r (algebraMap _ _ p / algebraMap _ _ q) =
algebraMap _ _ (taylor r p) / algebraMap _ _ (taylor r q) :=
-- Porting note: added `by exact taylor_mem_nonZeroDivisors r`
map_apply_div _ (by exact taylor_mem_nonZeroDivisors r) _ _
#align ratfunc.laurent_aux_div RatFunc.laurentAux_div
@[simp]
theorem laurentAux_algebraMap : laurentAux r (algebraMap _ _ p) = algebraMap _ _ (taylor r p) := by
rw [← mk_one, ← mk_one, mk_eq_div, laurentAux_div, mk_eq_div, taylor_one, map_one, map_one]
#align ratfunc.laurent_aux_algebra_map RatFunc.laurentAux_algebraMap
/-- The Laurent expansion of rational functions about a value. -/
def laurent : RatFunc R →ₐ[R] RatFunc R :=
RatFunc.mapAlgHom (.ofLinearMap (taylor r) (taylor_one _) (taylor_mul _))
(taylor_mem_nonZeroDivisors _)
#align ratfunc.laurent RatFunc.laurent
theorem laurent_div :
laurent r (algebraMap _ _ p / algebraMap _ _ q) =
algebraMap _ _ (taylor r p) / algebraMap _ _ (taylor r q) :=
laurentAux_div r p q
#align ratfunc.laurent_div RatFunc.laurent_div
@[simp]
theorem laurent_algebraMap : laurent r (algebraMap _ _ p) = algebraMap _ _ (taylor r p) :=
laurentAux_algebraMap _ _
#align ratfunc.laurent_algebra_map RatFunc.laurent_algebraMap
@[simp]
theorem laurent_X : laurent r X = X + C r := by
rw [← algebraMap_X, laurent_algebraMap, taylor_X, _root_.map_add, algebraMap_C]
set_option linter.uppercaseLean3 false in
#align ratfunc.laurent_X RatFunc.laurent_X
@[simp]
theorem laurent_C (x : R) : laurent r (C x) = C x := by
rw [← algebraMap_C, laurent_algebraMap, taylor_C]
set_option linter.uppercaseLean3 false in
#align ratfunc.laurent_C RatFunc.laurent_C
@[simp]
| Mathlib/FieldTheory/Laurent.lean | 108 | 108 | theorem laurent_at_zero : laurent 0 f = f := by | induction f using RatFunc.induction_on; simp
|
/-
Copyright (c) 2020 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker, Alexey Soloyev, Junyan Xu, Kamila Szewczyk
-/
import Mathlib.Data.Real.Irrational
import Mathlib.Data.Nat.Fib.Basic
import Mathlib.Data.Fin.VecNotation
import Mathlib.Algebra.LinearRecurrence
import Mathlib.Tactic.NormNum.NatFib
import Mathlib.Tactic.NormNum.Prime
#align_import data.real.golden_ratio from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
/-!
# The golden ratio and its conjugate
This file defines the golden ratio `φ := (1 + √5)/2` and its conjugate
`ψ := (1 - √5)/2`, which are the two real roots of `X² - X - 1`.
Along with various computational facts about them, we prove their
irrationality, and we link them to the Fibonacci sequence by proving
Binet's formula.
-/
noncomputable section
open Polynomial
/-- The golden ratio `φ := (1 + √5)/2`. -/
abbrev goldenRatio : ℝ := (1 + √5) / 2
#align golden_ratio goldenRatio
/-- The conjugate of the golden ratio `ψ := (1 - √5)/2`. -/
abbrev goldenConj : ℝ := (1 - √5) / 2
#align golden_conj goldenConj
@[inherit_doc goldenRatio] scoped[goldenRatio] notation "φ" => goldenRatio
@[inherit_doc goldenConj] scoped[goldenRatio] notation "ψ" => goldenConj
open Real goldenRatio
/-- The inverse of the golden ratio is the opposite of its conjugate. -/
theorem inv_gold : φ⁻¹ = -ψ := by
have : 1 + √5 ≠ 0 := ne_of_gt (add_pos (by norm_num) <| Real.sqrt_pos.mpr (by norm_num))
field_simp [sub_mul, mul_add]
norm_num
#align inv_gold inv_gold
/-- The opposite of the golden ratio is the inverse of its conjugate. -/
theorem inv_goldConj : ψ⁻¹ = -φ := by
rw [inv_eq_iff_eq_inv, ← neg_inv, ← neg_eq_iff_eq_neg]
exact inv_gold.symm
#align inv_gold_conj inv_goldConj
@[simp]
theorem gold_mul_goldConj : φ * ψ = -1 := by
field_simp
rw [← sq_sub_sq]
norm_num
#align gold_mul_gold_conj gold_mul_goldConj
@[simp]
theorem goldConj_mul_gold : ψ * φ = -1 := by
rw [mul_comm]
exact gold_mul_goldConj
#align gold_conj_mul_gold goldConj_mul_gold
@[simp]
theorem gold_add_goldConj : φ + ψ = 1 := by
rw [goldenRatio, goldenConj]
ring
#align gold_add_gold_conj gold_add_goldConj
theorem one_sub_goldConj : 1 - φ = ψ := by
linarith [gold_add_goldConj]
#align one_sub_gold_conj one_sub_goldConj
theorem one_sub_gold : 1 - ψ = φ := by
linarith [gold_add_goldConj]
#align one_sub_gold one_sub_gold
@[simp]
| Mathlib/Data/Real/GoldenRatio.lean | 84 | 84 | theorem gold_sub_goldConj : φ - ψ = √5 := by | ring
|
/-
Copyright (c) 2021 Andrew Yang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Andrew Yang
-/
import Mathlib.CategoryTheory.GlueData
import Mathlib.Topology.Category.TopCat.Limits.Pullbacks
import Mathlib.Topology.Category.TopCat.Opens
import Mathlib.Tactic.Generalize
import Mathlib.CategoryTheory.Elementwise
#align_import topology.gluing from "leanprover-community/mathlib"@"178a32653e369dce2da68dc6b2694e385d484ef1"
/-!
# Gluing Topological spaces
Given a family of gluing data (see `Mathlib/CategoryTheory/GlueData.lean`), we can then glue them
together.
The construction should be "sealed" and considered as a black box, while only using the API
provided.
## Main definitions
* `TopCat.GlueData`: A structure containing the family of gluing data.
* `CategoryTheory.GlueData.glued`: The glued topological space.
This is defined as the multicoequalizer of `∐ V i j ⇉ ∐ U i`, so that the general colimit API
can be used.
* `CategoryTheory.GlueData.ι`: The immersion `ι i : U i ⟶ glued` for each `i : ι`.
* `TopCat.GlueData.Rel`: A relation on `Σ i, D.U i` defined by `⟨i, x⟩ ~ ⟨j, y⟩` iff
`⟨i, x⟩ = ⟨j, y⟩` or `t i j x = y`. See `TopCat.GlueData.ι_eq_iff_rel`.
* `TopCat.GlueData.mk`: A constructor of `GlueData` whose conditions are stated in terms of
elements rather than subobjects and pullbacks.
* `TopCat.GlueData.ofOpenSubsets`: Given a family of open sets, we may glue them into a new
topological space. This new space embeds into the original space, and is homeomorphic to it if
the given family is an open cover (`TopCat.GlueData.openCoverGlueHomeo`).
## Main results
* `TopCat.GlueData.isOpen_iff`: A set in `glued` is open iff its preimage along each `ι i` is
open.
* `TopCat.GlueData.ι_jointly_surjective`: The `ι i`s are jointly surjective.
* `TopCat.GlueData.rel_equiv`: `Rel` is an equivalence relation.
* `TopCat.GlueData.ι_eq_iff_rel`: `ι i x = ι j y ↔ ⟨i, x⟩ ~ ⟨j, y⟩`.
* `TopCat.GlueData.image_inter`: The intersection of the images of `U i` and `U j` in `glued` is
`V i j`.
* `TopCat.GlueData.preimage_range`: The preimage of the image of `U i` in `U j` is `V i j`.
* `TopCat.GlueData.preimage_image_eq_image`: The preimage of the image of some `U ⊆ U i` is
given by XXX.
* `TopCat.GlueData.ι_openEmbedding`: Each of the `ι i`s are open embeddings.
-/
noncomputable section
open TopologicalSpace CategoryTheory
universe v u
open CategoryTheory.Limits
namespace TopCat
/-- A family of gluing data consists of
1. An index type `J`
2. An object `U i` for each `i : J`.
3. An object `V i j` for each `i j : J`.
(Note that this is `J × J → TopCat` rather than `J → J → TopCat` to connect to the
limits library easier.)
4. An open embedding `f i j : V i j ⟶ U i` for each `i j : ι`.
5. A transition map `t i j : V i j ⟶ V j i` for each `i j : ι`.
such that
6. `f i i` is an isomorphism.
7. `t i i` is the identity.
8. `V i j ×[U i] V i k ⟶ V i j ⟶ V j i` factors through `V j k ×[U j] V j i ⟶ V j i` via some
`t' : V i j ×[U i] V i k ⟶ V j k ×[U j] V j i`.
(This merely means that `V i j ∩ V i k ⊆ t i j ⁻¹' (V j i ∩ V j k)`.)
9. `t' i j k ≫ t' j k i ≫ t' k i j = 𝟙 _`.
We can then glue the topological spaces `U i` together by identifying `V i j` with `V j i`, such
that the `U i`'s are open subspaces of the glued space.
Most of the times it would be easier to use the constructor `TopCat.GlueData.mk'` where the
conditions are stated in a less categorical way.
-/
-- porting note (#5171): removed @[nolint has_nonempty_instance]
structure GlueData extends GlueData TopCat where
f_open : ∀ i j, OpenEmbedding (f i j)
f_mono := fun i j => (TopCat.mono_iff_injective _).mpr (f_open i j).toEmbedding.inj
set_option linter.uppercaseLean3 false in
#align Top.glue_data TopCat.GlueData
namespace GlueData
variable (D : GlueData.{u})
local notation "𝖣" => D.toGlueData
theorem π_surjective : Function.Surjective 𝖣.π :=
(TopCat.epi_iff_surjective 𝖣.π).mp inferInstance
set_option linter.uppercaseLean3 false in
#align Top.glue_data.π_surjective TopCat.GlueData.π_surjective
| Mathlib/Topology/Gluing.lean | 104 | 115 | theorem isOpen_iff (U : Set 𝖣.glued) : IsOpen U ↔ ∀ i, IsOpen (𝖣.ι i ⁻¹' U) := by |
delta CategoryTheory.GlueData.ι
simp_rw [← Multicoequalizer.ι_sigmaπ 𝖣.diagram]
rw [← (homeoOfIso (Multicoequalizer.isoCoequalizer 𝖣.diagram).symm).isOpen_preimage]
rw [coequalizer_isOpen_iff]
dsimp only [GlueData.diagram_l, GlueData.diagram_left, GlueData.diagram_r, GlueData.diagram_right,
parallelPair_obj_one]
rw [colimit_isOpen_iff.{_,u}] -- Porting note: changed `.{u}` to `.{_,u}`. fun fact: the proof
-- breaks down if this `rw` is merged with the `rw` above.
constructor
· intro h j; exact h ⟨j⟩
· intro h j; cases j; apply h
|
/-
Copyright (c) 2020 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import Mathlib.Logic.Function.Iterate
import Mathlib.Order.Monotone.Basic
#align_import order.iterate from "leanprover-community/mathlib"@"2258b40dacd2942571c8ce136215350c702dc78f"
/-!
# Inequalities on iterates
In this file we prove some inequalities comparing `f^[n] x` and `g^[n] x` where `f` and `g` are
two self-maps that commute with each other.
Current selection of inequalities is motivated by formalization of the rotation number of
a circle homeomorphism.
-/
open Function
open Function (Commute)
namespace Monotone
variable {α : Type*} [Preorder α] {f : α → α} {x y : ℕ → α}
/-!
### Comparison of two sequences
If $f$ is a monotone function, then $∀ k, x_{k+1} ≤ f(x_k)$ implies that $x_k$ grows slower than
$f^k(x_0)$, and similarly for the reversed inequalities. If $x_k$ and $y_k$ are two sequences such
that $x_{k+1} ≤ f(x_k)$ and $y_{k+1} ≥ f(y_k)$ for all $k < n$, then $x_0 ≤ y_0$ implies
$x_n ≤ y_n$, see `Monotone.seq_le_seq`.
If some of the inequalities in this lemma are strict, then we have $x_n < y_n$. The rest of the
lemmas in this section formalize this fact for different inequalities made strict.
-/
| Mathlib/Order/Iterate.lean | 42 | 48 | theorem seq_le_seq (hf : Monotone f) (n : ℕ) (h₀ : x 0 ≤ y 0) (hx : ∀ k < n, x (k + 1) ≤ f (x k))
(hy : ∀ k < n, f (y k) ≤ y (k + 1)) : x n ≤ y n := by |
induction' n with n ihn
· exact h₀
· refine (hx _ n.lt_succ_self).trans ((hf <| ihn ?_ ?_).trans (hy _ n.lt_succ_self))
· exact fun k hk => hx _ (hk.trans n.lt_succ_self)
· exact fun k hk => hy _ (hk.trans n.lt_succ_self)
|
/-
Copyright (c) 2022 Xavier Roblot. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Xavier Roblot
-/
import Mathlib.Algebra.Module.Zlattice.Basic
import Mathlib.NumberTheory.NumberField.Embeddings
import Mathlib.NumberTheory.NumberField.FractionalIdeal
#align_import number_theory.number_field.canonical_embedding from "leanprover-community/mathlib"@"60da01b41bbe4206f05d34fd70c8dd7498717a30"
/-!
# Canonical embedding of a number field
The canonical embedding of a number field `K` of degree `n` is the ring homomorphism
`K →+* ℂ^n` that sends `x ∈ K` to `(φ_₁(x),...,φ_n(x))` where the `φ_i`'s are the complex
embeddings of `K`. Note that we do not choose an ordering of the embeddings, but instead map `K`
into the type `(K →+* ℂ) → ℂ` of `ℂ`-vectors indexed by the complex embeddings.
## Main definitions and results
* `NumberField.canonicalEmbedding`: the ring homomorphism `K →+* ((K →+* ℂ) → ℂ)` defined by
sending `x : K` to the vector `(φ x)` indexed by `φ : K →+* ℂ`.
* `NumberField.canonicalEmbedding.integerLattice.inter_ball_finite`: the intersection of the
image of the ring of integers by the canonical embedding and any ball centered at `0` of finite
radius is finite.
* `NumberField.mixedEmbedding`: the ring homomorphism from `K →+* ({ w // IsReal w } → ℝ) ×
({ w // IsComplex w } → ℂ)` that sends `x ∈ K` to `(φ_w x)_w` where `φ_w` is the embedding
associated to the infinite place `w`. In particular, if `w` is real then `φ_w : K →+* ℝ` and, if
`w` is complex, `φ_w` is an arbitrary choice between the two complex embeddings defining the place
`w`.
## Tags
number field, infinite places
-/
variable (K : Type*) [Field K]
namespace NumberField.canonicalEmbedding
open NumberField
/-- The canonical embedding of a number field `K` of degree `n` into `ℂ^n`. -/
def _root_.NumberField.canonicalEmbedding : K →+* ((K →+* ℂ) → ℂ) := Pi.ringHom fun φ => φ
theorem _root_.NumberField.canonicalEmbedding_injective [NumberField K] :
Function.Injective (NumberField.canonicalEmbedding K) := RingHom.injective _
variable {K}
@[simp]
theorem apply_at (φ : K →+* ℂ) (x : K) : (NumberField.canonicalEmbedding K x) φ = φ x := rfl
open scoped ComplexConjugate
/-- The image of `canonicalEmbedding` lives in the `ℝ`-submodule of the `x ∈ ((K →+* ℂ) → ℂ)` such
that `conj x_φ = x_(conj φ)` for all `∀ φ : K →+* ℂ`. -/
theorem conj_apply {x : ((K →+* ℂ) → ℂ)} (φ : K →+* ℂ)
(hx : x ∈ Submodule.span ℝ (Set.range (canonicalEmbedding K))) :
conj (x φ) = x (ComplexEmbedding.conjugate φ) := by
refine Submodule.span_induction hx ?_ ?_ (fun _ _ hx hy => ?_) (fun a _ hx => ?_)
· rintro _ ⟨x, rfl⟩
rw [apply_at, apply_at, ComplexEmbedding.conjugate_coe_eq]
· rw [Pi.zero_apply, Pi.zero_apply, map_zero]
· rw [Pi.add_apply, Pi.add_apply, map_add, hx, hy]
· rw [Pi.smul_apply, Complex.real_smul, map_mul, Complex.conj_ofReal]
exact congrArg ((a : ℂ) * ·) hx
theorem nnnorm_eq [NumberField K] (x : K) :
‖canonicalEmbedding K x‖₊ = Finset.univ.sup (fun φ : K →+* ℂ => ‖φ x‖₊) := by
simp_rw [Pi.nnnorm_def, apply_at]
| Mathlib/NumberTheory/NumberField/CanonicalEmbedding/Basic.lean | 76 | 85 | theorem norm_le_iff [NumberField K] (x : K) (r : ℝ) :
‖canonicalEmbedding K x‖ ≤ r ↔ ∀ φ : K →+* ℂ, ‖φ x‖ ≤ r := by |
obtain hr | hr := lt_or_le r 0
· obtain ⟨φ⟩ := (inferInstance : Nonempty (K →+* ℂ))
refine iff_of_false ?_ ?_
· exact (hr.trans_le (norm_nonneg _)).not_le
· exact fun h => hr.not_le (le_trans (norm_nonneg _) (h φ))
· lift r to NNReal using hr
simp_rw [← coe_nnnorm, nnnorm_eq, NNReal.coe_le_coe, Finset.sup_le_iff, Finset.mem_univ,
forall_true_left]
|
/-
Copyright (c) 2020 Yury G. Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury G. Kudryashov
-/
import Mathlib.Analysis.Convex.Function
import Mathlib.Analysis.Convex.StrictConvexSpace
import Mathlib.MeasureTheory.Function.AEEqOfIntegral
import Mathlib.MeasureTheory.Integral.Average
#align_import analysis.convex.integral from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Jensen's inequality for integrals
In this file we prove several forms of Jensen's inequality for integrals.
- for convex sets: `Convex.average_mem`, `Convex.set_average_mem`, `Convex.integral_mem`;
- for convex functions: `ConvexOn.average_mem_epigraph`, `ConvexOn.map_average_le`,
`ConvexOn.set_average_mem_epigraph`, `ConvexOn.map_set_average_le`, `ConvexOn.map_integral_le`;
- for strictly convex sets: `StrictConvex.ae_eq_const_or_average_mem_interior`;
- for a closed ball in a strictly convex normed space:
`ae_eq_const_or_norm_integral_lt_of_norm_le_const`;
- for strictly convex functions: `StrictConvexOn.ae_eq_const_or_map_average_lt`.
## TODO
- Use a typeclass for strict convexity of a closed ball.
## Tags
convex, integral, center mass, average value, Jensen's inequality
-/
open MeasureTheory MeasureTheory.Measure Metric Set Filter TopologicalSpace Function
open scoped Topology ENNReal Convex
variable {α E F : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E]
[CompleteSpace E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {μ : Measure α}
{s : Set E} {t : Set α} {f : α → E} {g : E → ℝ} {C : ℝ}
/-!
### Non-strict Jensen's inequality
-/
/-- If `μ` is a probability measure on `α`, `s` is a convex closed set in `E`, and `f` is an
integrable function sending `μ`-a.e. points to `s`, then the expected value of `f` belongs to `s`:
`∫ x, f x ∂μ ∈ s`. See also `Convex.sum_mem` for a finite sum version of this lemma. -/
| Mathlib/Analysis/Convex/Integral.lean | 56 | 81 | theorem Convex.integral_mem [IsProbabilityMeasure μ] (hs : Convex ℝ s) (hsc : IsClosed s)
(hf : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ) : (∫ x, f x ∂μ) ∈ s := by |
borelize E
rcases hfi.aestronglyMeasurable with ⟨g, hgm, hfg⟩
haveI : SeparableSpace (range g ∩ s : Set E) :=
(hgm.isSeparable_range.mono inter_subset_left).separableSpace
obtain ⟨y₀, h₀⟩ : (range g ∩ s).Nonempty := by
rcases (hf.and hfg).exists with ⟨x₀, h₀⟩
exact ⟨f x₀, by simp only [h₀.2, mem_range_self], h₀.1⟩
rw [integral_congr_ae hfg]; rw [integrable_congr hfg] at hfi
have hg : ∀ᵐ x ∂μ, g x ∈ closure (range g ∩ s) := by
filter_upwards [hfg.rw (fun _ y => y ∈ s) hf] with x hx
apply subset_closure
exact ⟨mem_range_self _, hx⟩
set G : ℕ → SimpleFunc α E := SimpleFunc.approxOn _ hgm.measurable (range g ∩ s) y₀ h₀
have : Tendsto (fun n => (G n).integral μ) atTop (𝓝 <| ∫ x, g x ∂μ) :=
tendsto_integral_approxOn_of_measurable hfi _ hg _ (integrable_const _)
refine hsc.mem_of_tendsto this (eventually_of_forall fun n => hs.sum_mem ?_ ?_ ?_)
· exact fun _ _ => ENNReal.toReal_nonneg
· rw [← ENNReal.toReal_sum, (G n).sum_range_measure_preimage_singleton, measure_univ,
ENNReal.one_toReal]
exact fun _ _ => measure_ne_top _ _
· simp only [SimpleFunc.mem_range, forall_mem_range]
intro x
apply (range g).inter_subset_right
exact SimpleFunc.approxOn_mem hgm.measurable h₀ _ _
|
/-
Copyright (c) 2021 Frédéric Dupuis. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Frédéric Dupuis
-/
import Mathlib.Analysis.Normed.Group.Hom
import Mathlib.Analysis.NormedSpace.Basic
import Mathlib.Analysis.NormedSpace.LinearIsometry
import Mathlib.Algebra.Star.SelfAdjoint
import Mathlib.Algebra.Star.Subalgebra
import Mathlib.Algebra.Star.Unitary
import Mathlib.Topology.Algebra.Module.Star
#align_import analysis.normed_space.star.basic from "leanprover-community/mathlib"@"aa6669832974f87406a3d9d70fc5707a60546207"
/-!
# Normed star rings and algebras
A normed star group is a normed group with a compatible `star` which is isometric.
A C⋆-ring is a normed star group that is also a ring and that verifies the stronger
condition `‖x⋆ * x‖ = ‖x‖^2` for all `x`. If a C⋆-ring is also a star algebra, then it is a
C⋆-algebra.
To get a C⋆-algebra `E` over field `𝕜`, use
`[NormedField 𝕜] [StarRing 𝕜] [NormedRing E] [StarRing E] [CstarRing E]
[NormedAlgebra 𝕜 E] [StarModule 𝕜 E]`.
## TODO
- Show that `‖x⋆ * x‖ = ‖x‖^2` is equivalent to `‖x⋆ * x‖ = ‖x⋆‖ * ‖x‖`, which is used as the
definition of C*-algebras in some sources (e.g. Wikipedia).
-/
open Topology
local postfix:max "⋆" => star
/-- A normed star group is a normed group with a compatible `star` which is isometric. -/
class NormedStarGroup (E : Type*) [SeminormedAddCommGroup E] [StarAddMonoid E] : Prop where
norm_star : ∀ x : E, ‖x⋆‖ = ‖x‖
#align normed_star_group NormedStarGroup
export NormedStarGroup (norm_star)
attribute [simp] norm_star
variable {𝕜 E α : Type*}
section NormedStarGroup
variable [SeminormedAddCommGroup E] [StarAddMonoid E] [NormedStarGroup E]
@[simp]
theorem nnnorm_star (x : E) : ‖star x‖₊ = ‖x‖₊ :=
Subtype.ext <| norm_star _
#align nnnorm_star nnnorm_star
/-- The `star` map in a normed star group is a normed group homomorphism. -/
def starNormedAddGroupHom : NormedAddGroupHom E E :=
{ starAddEquiv with bound' := ⟨1, fun _ => le_trans (norm_star _).le (one_mul _).symm.le⟩ }
#align star_normed_add_group_hom starNormedAddGroupHom
/-- The `star` map in a normed star group is an isometry -/
theorem star_isometry : Isometry (star : E → E) :=
show Isometry starAddEquiv from
AddMonoidHomClass.isometry_of_norm starAddEquiv (show ∀ x, ‖x⋆‖ = ‖x‖ from norm_star)
#align star_isometry star_isometry
instance (priority := 100) NormedStarGroup.to_continuousStar : ContinuousStar E :=
⟨star_isometry.continuous⟩
#align normed_star_group.to_has_continuous_star NormedStarGroup.to_continuousStar
end NormedStarGroup
instance RingHomIsometric.starRingEnd [NormedCommRing E] [StarRing E] [NormedStarGroup E] :
RingHomIsometric (starRingEnd E) :=
⟨@norm_star _ _ _ _⟩
#align ring_hom_isometric.star_ring_end RingHomIsometric.starRingEnd
/-- A C*-ring is a normed star ring that satisfies the stronger condition `‖x⋆ * x‖ = ‖x‖^2`
for every `x`. -/
class CstarRing (E : Type*) [NonUnitalNormedRing E] [StarRing E] : Prop where
norm_star_mul_self : ∀ {x : E}, ‖x⋆ * x‖ = ‖x‖ * ‖x‖
#align cstar_ring CstarRing
instance : CstarRing ℝ where norm_star_mul_self {x} := by simp only [star, id, norm_mul]
namespace CstarRing
section NonUnital
variable [NonUnitalNormedRing E] [StarRing E] [CstarRing E]
-- see Note [lower instance priority]
/-- In a C*-ring, star preserves the norm. -/
instance (priority := 100) to_normedStarGroup : NormedStarGroup E :=
⟨by
intro x
by_cases htriv : x = 0
· simp only [htriv, star_zero]
· have hnt : 0 < ‖x‖ := norm_pos_iff.mpr htriv
have hnt_star : 0 < ‖x⋆‖ :=
norm_pos_iff.mpr ((AddEquiv.map_ne_zero_iff starAddEquiv (M := E)).mpr htriv)
have h₁ :=
calc
‖x‖ * ‖x‖ = ‖x⋆ * x‖ := norm_star_mul_self.symm
_ ≤ ‖x⋆‖ * ‖x‖ := norm_mul_le _ _
have h₂ :=
calc
‖x⋆‖ * ‖x⋆‖ = ‖x * x⋆‖ := by rw [← norm_star_mul_self, star_star]
_ ≤ ‖x‖ * ‖x⋆‖ := norm_mul_le _ _
exact le_antisymm (le_of_mul_le_mul_right h₂ hnt_star) (le_of_mul_le_mul_right h₁ hnt)⟩
#align cstar_ring.to_normed_star_group CstarRing.to_normedStarGroup
| Mathlib/Analysis/NormedSpace/Star/Basic.lean | 118 | 120 | theorem norm_self_mul_star {x : E} : ‖x * x⋆‖ = ‖x‖ * ‖x‖ := by |
nth_rw 1 [← star_star x]
simp only [norm_star_mul_self, norm_star]
|
/-
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.Fintype.Perm
import Mathlib.GroupTheory.Perm.Finite
import Mathlib.GroupTheory.Perm.List
#align_import group_theory.perm.cycle.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
/-!
# Cycles of a permutation
This file starts the theory of cycles in permutations.
## Main definitions
In the following, `f : Equiv.Perm β`.
* `Equiv.Perm.SameCycle`: `f.SameCycle x y` when `x` and `y` are in the same cycle of `f`.
* `Equiv.Perm.IsCycle`: `f` is a cycle if any two nonfixed points of `f` are related by repeated
applications of `f`, and `f` is not the identity.
* `Equiv.Perm.IsCycleOn`: `f` is a cycle on a set `s` when any two points of `s` are related by
repeated applications of `f`.
## Notes
`Equiv.Perm.IsCycle` and `Equiv.Perm.IsCycleOn` are different in three ways:
* `IsCycle` is about the entire type while `IsCycleOn` is restricted to a set.
* `IsCycle` forbids the identity while `IsCycleOn` allows it (if `s` is a subsingleton).
* `IsCycleOn` forbids fixed points on `s` (if `s` is nontrivial), while `IsCycle` allows them.
-/
open Equiv Function Finset
variable {ι α β : Type*}
namespace Equiv.Perm
/-! ### `SameCycle` -/
section SameCycle
variable {f g : Perm α} {p : α → Prop} {x y z : α}
/-- The equivalence relation indicating that two points are in the same cycle of a permutation. -/
def SameCycle (f : Perm α) (x y : α) : Prop :=
∃ i : ℤ, (f ^ i) x = y
#align equiv.perm.same_cycle Equiv.Perm.SameCycle
@[refl]
theorem SameCycle.refl (f : Perm α) (x : α) : SameCycle f x x :=
⟨0, rfl⟩
#align equiv.perm.same_cycle.refl Equiv.Perm.SameCycle.refl
theorem SameCycle.rfl : SameCycle f x x :=
SameCycle.refl _ _
#align equiv.perm.same_cycle.rfl Equiv.Perm.SameCycle.rfl
protected theorem _root_.Eq.sameCycle (h : x = y) (f : Perm α) : f.SameCycle x y := by rw [h]
#align eq.same_cycle Eq.sameCycle
@[symm]
theorem SameCycle.symm : SameCycle f x y → SameCycle f y x := fun ⟨i, hi⟩ =>
⟨-i, by rw [zpow_neg, ← hi, inv_apply_self]⟩
#align equiv.perm.same_cycle.symm Equiv.Perm.SameCycle.symm
theorem sameCycle_comm : SameCycle f x y ↔ SameCycle f y x :=
⟨SameCycle.symm, SameCycle.symm⟩
#align equiv.perm.same_cycle_comm Equiv.Perm.sameCycle_comm
@[trans]
theorem SameCycle.trans : SameCycle f x y → SameCycle f y z → SameCycle f x z :=
fun ⟨i, hi⟩ ⟨j, hj⟩ => ⟨j + i, by rw [zpow_add, mul_apply, hi, hj]⟩
#align equiv.perm.same_cycle.trans Equiv.Perm.SameCycle.trans
variable (f) in
theorem SameCycle.equivalence : Equivalence (SameCycle f) :=
⟨SameCycle.refl f, SameCycle.symm, SameCycle.trans⟩
/-- The setoid defined by the `SameCycle` relation. -/
def SameCycle.setoid (f : Perm α) : Setoid α where
iseqv := SameCycle.equivalence f
@[simp]
theorem sameCycle_one : SameCycle 1 x y ↔ x = y := by simp [SameCycle]
#align equiv.perm.same_cycle_one Equiv.Perm.sameCycle_one
@[simp]
theorem sameCycle_inv : SameCycle f⁻¹ x y ↔ SameCycle f x y :=
(Equiv.neg _).exists_congr_left.trans <| by simp [SameCycle]
#align equiv.perm.same_cycle_inv Equiv.Perm.sameCycle_inv
alias ⟨SameCycle.of_inv, SameCycle.inv⟩ := sameCycle_inv
#align equiv.perm.same_cycle.of_inv Equiv.Perm.SameCycle.of_inv
#align equiv.perm.same_cycle.inv Equiv.Perm.SameCycle.inv
@[simp]
theorem sameCycle_conj : SameCycle (g * f * g⁻¹) x y ↔ SameCycle f (g⁻¹ x) (g⁻¹ y) :=
exists_congr fun i => by simp [conj_zpow, eq_inv_iff_eq]
#align equiv.perm.same_cycle_conj Equiv.Perm.sameCycle_conj
theorem SameCycle.conj : SameCycle f x y → SameCycle (g * f * g⁻¹) (g x) (g y) := by
simp [sameCycle_conj]
#align equiv.perm.same_cycle.conj Equiv.Perm.SameCycle.conj
theorem SameCycle.apply_eq_self_iff : SameCycle f x y → (f x = x ↔ f y = y) := fun ⟨i, hi⟩ => by
rw [← hi, ← mul_apply, ← zpow_one_add, add_comm, zpow_add_one, mul_apply,
(f ^ i).injective.eq_iff]
#align equiv.perm.same_cycle.apply_eq_self_iff Equiv.Perm.SameCycle.apply_eq_self_iff
theorem SameCycle.eq_of_left (h : SameCycle f x y) (hx : IsFixedPt f x) : x = y :=
let ⟨_, hn⟩ := h
(hx.perm_zpow _).eq.symm.trans hn
#align equiv.perm.same_cycle.eq_of_left Equiv.Perm.SameCycle.eq_of_left
theorem SameCycle.eq_of_right (h : SameCycle f x y) (hy : IsFixedPt f y) : x = y :=
h.eq_of_left <| h.apply_eq_self_iff.2 hy
#align equiv.perm.same_cycle.eq_of_right Equiv.Perm.SameCycle.eq_of_right
@[simp]
theorem sameCycle_apply_left : SameCycle f (f x) y ↔ SameCycle f x y :=
(Equiv.addRight 1).exists_congr_left.trans <| by
simp [zpow_sub, SameCycle, Int.add_neg_one, Function.comp]
#align equiv.perm.same_cycle_apply_left Equiv.Perm.sameCycle_apply_left
@[simp]
| Mathlib/GroupTheory/Perm/Cycle/Basic.lean | 132 | 133 | theorem sameCycle_apply_right : SameCycle f x (f y) ↔ SameCycle f x y := by |
rw [sameCycle_comm, sameCycle_apply_left, sameCycle_comm]
|
/-
Copyright (c) 2022 Thomas Browning. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Thomas Browning
-/
import Mathlib.Algebra.Group.ConjFinite
import Mathlib.GroupTheory.Abelianization
import Mathlib.GroupTheory.GroupAction.ConjAct
import Mathlib.GroupTheory.GroupAction.Quotient
import Mathlib.GroupTheory.Index
import Mathlib.GroupTheory.SpecificGroups.Dihedral
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.LinearCombination
import Mathlib.Tactic.Qify
#align_import group_theory.commuting_probability from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
/-!
# Commuting Probability
This file introduces the commuting probability of finite groups.
## Main definitions
* `commProb`: The commuting probability of a finite type with a multiplication operation.
## Todo
* Neumann's theorem.
-/
noncomputable section
open scoped Classical
open Fintype
variable (M : Type*) [Mul M]
/-- The commuting probability of a finite type with a multiplication operation. -/
def commProb : ℚ :=
Nat.card { p : M × M // Commute p.1 p.2 } / (Nat.card M : ℚ) ^ 2
#align comm_prob commProb
theorem commProb_def :
commProb M = Nat.card { p : M × M // Commute p.1 p.2 } / (Nat.card M : ℚ) ^ 2 :=
rfl
#align comm_prob_def commProb_def
theorem commProb_prod (M' : Type*) [Mul M'] : commProb (M × M') = commProb M * commProb M' := by
simp_rw [commProb_def, div_mul_div_comm, Nat.card_prod, Nat.cast_mul, mul_pow, ← Nat.cast_mul,
← Nat.card_prod, Commute, SemiconjBy, Prod.ext_iff]
congr 2
exact Nat.card_congr ⟨fun x => ⟨⟨⟨x.1.1.1, x.1.2.1⟩, x.2.1⟩, ⟨⟨x.1.1.2, x.1.2.2⟩, x.2.2⟩⟩,
fun x => ⟨⟨⟨x.1.1.1, x.2.1.1⟩, ⟨x.1.1.2, x.2.1.2⟩⟩, ⟨x.1.2, x.2.2⟩⟩, fun x => rfl, fun x => rfl⟩
theorem commProb_pi {α : Type*} (i : α → Type*) [Fintype α] [∀ a, Mul (i a)] :
commProb (∀ a, i a) = ∏ a, commProb (i a) := by
simp_rw [commProb_def, Finset.prod_div_distrib, Finset.prod_pow, ← Nat.cast_prod,
← Nat.card_pi, Commute, SemiconjBy, Function.funext_iff]
congr 2
exact Nat.card_congr ⟨fun x a => ⟨⟨x.1.1 a, x.1.2 a⟩, x.2 a⟩, fun x => ⟨⟨fun a => (x a).1.1,
fun a => (x a).1.2⟩, fun a => (x a).2⟩, fun x => rfl, fun x => rfl⟩
theorem commProb_function {α β : Type*} [Fintype α] [Mul β] :
commProb (α → β) = (commProb β) ^ Fintype.card α := by
rw [commProb_pi, Finset.prod_const, Finset.card_univ]
@[simp]
theorem commProb_eq_zero_of_infinite [Infinite M] : commProb M = 0 :=
div_eq_zero_iff.2 (Or.inl (Nat.cast_eq_zero.2 Nat.card_eq_zero_of_infinite))
variable [Finite M]
theorem commProb_pos [h : Nonempty M] : 0 < commProb M :=
h.elim fun x ↦
div_pos (Nat.cast_pos.mpr (Finite.card_pos_iff.mpr ⟨⟨(x, x), rfl⟩⟩))
(pow_pos (Nat.cast_pos.mpr Finite.card_pos) 2)
#align comm_prob_pos commProb_pos
theorem commProb_le_one : commProb M ≤ 1 := by
refine div_le_one_of_le ?_ (sq_nonneg (Nat.card M : ℚ))
rw [← Nat.cast_pow, Nat.cast_le, sq, ← Nat.card_prod]
apply Finite.card_subtype_le
#align comm_prob_le_one commProb_le_one
variable {M}
theorem commProb_eq_one_iff [h : Nonempty M] :
commProb M = 1 ↔ Commutative ((· * ·) : M → M → M) := by
haveI := Fintype.ofFinite M
rw [commProb, ← Set.coe_setOf, Nat.card_eq_fintype_card, Nat.card_eq_fintype_card]
rw [div_eq_one_iff_eq, ← Nat.cast_pow, Nat.cast_inj, sq, ← card_prod,
set_fintype_card_eq_univ_iff, Set.eq_univ_iff_forall]
· exact ⟨fun h x y ↦ h (x, y), fun h x ↦ h x.1 x.2⟩
· exact pow_ne_zero 2 (Nat.cast_ne_zero.mpr card_ne_zero)
#align comm_prob_eq_one_iff commProb_eq_one_iff
variable (G : Type*) [Group G]
| Mathlib/GroupTheory/CommutingProbability.lean | 98 | 102 | theorem commProb_def' : commProb G = Nat.card (ConjClasses G) / Nat.card G := by |
rw [commProb, card_comm_eq_card_conjClasses_mul_card, Nat.cast_mul, sq]
by_cases h : (Nat.card G : ℚ) = 0
· rw [h, zero_mul, div_zero, div_zero]
· exact mul_div_mul_right _ _ h
|
/-
Copyright (c) 2018 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Johannes Hölzl, Rémy Degenne
-/
import Mathlib.Order.Filter.Cofinite
import Mathlib.Order.Hom.CompleteLattice
#align_import order.liminf_limsup from "leanprover-community/mathlib"@"ffde2d8a6e689149e44fd95fa862c23a57f8c780"
/-!
# liminfs and limsups of functions and filters
Defines the liminf/limsup of a function taking values in a conditionally complete lattice, with
respect to an arbitrary filter.
We define `limsSup f` (`limsInf f`) where `f` is a filter taking values in a conditionally complete
lattice. `limsSup f` is the smallest element `a` such that, eventually, `u ≤ a` (and vice versa for
`limsInf f`). To work with the Limsup along a function `u` use `limsSup (map u f)`.
Usually, one defines the Limsup as `inf (sup s)` where the Inf is taken over all sets in the filter.
For instance, in ℕ along a function `u`, this is `inf_n (sup_{k ≥ n} u k)` (and the latter quantity
decreases with `n`, so this is in fact a limit.). There is however a difficulty: it is well possible
that `u` is not bounded on the whole space, only eventually (think of `limsup (fun x ↦ 1/x)` on ℝ.
Then there is no guarantee that the quantity above really decreases (the value of the `sup`
beforehand is not really well defined, as one can not use ∞), so that the Inf could be anything.
So one can not use this `inf sup ...` definition in conditionally complete lattices, and one has
to use a less tractable definition.
In conditionally complete lattices, the definition is only useful for filters which are eventually
bounded above (otherwise, the Limsup would morally be +∞, which does not belong to the space) and
which are frequently bounded below (otherwise, the Limsup would morally be -∞, which is not in the
space either). We start with definitions of these concepts for arbitrary filters, before turning to
the definitions of Limsup and Liminf.
In complete lattices, however, it coincides with the `Inf Sup` definition.
-/
set_option autoImplicit true
open Filter Set Function
variable {α β γ ι ι' : Type*}
namespace Filter
section Relation
/-- `f.IsBounded (≺)`: the filter `f` is eventually bounded w.r.t. the relation `≺`, i.e.
eventually, it is bounded by some uniform bound.
`r` will be usually instantiated with `≤` or `≥`. -/
def IsBounded (r : α → α → Prop) (f : Filter α) :=
∃ b, ∀ᶠ x in f, r x b
#align filter.is_bounded Filter.IsBounded
/-- `f.IsBoundedUnder (≺) u`: the image of the filter `f` under `u` is eventually bounded w.r.t.
the relation `≺`, i.e. eventually, it is bounded by some uniform bound. -/
def IsBoundedUnder (r : α → α → Prop) (f : Filter β) (u : β → α) :=
(map u f).IsBounded r
#align filter.is_bounded_under Filter.IsBoundedUnder
variable {r : α → α → Prop} {f g : Filter α}
/-- `f` is eventually bounded if and only if, there exists an admissible set on which it is
bounded. -/
theorem isBounded_iff : f.IsBounded r ↔ ∃ s ∈ f.sets, ∃ b, s ⊆ { x | r x b } :=
Iff.intro (fun ⟨b, hb⟩ => ⟨{ a | r a b }, hb, b, Subset.refl _⟩) fun ⟨_, hs, b, hb⟩ =>
⟨b, mem_of_superset hs hb⟩
#align filter.is_bounded_iff Filter.isBounded_iff
/-- A bounded function `u` is in particular eventually bounded. -/
theorem isBoundedUnder_of {f : Filter β} {u : β → α} : (∃ b, ∀ x, r (u x) b) → f.IsBoundedUnder r u
| ⟨b, hb⟩ => ⟨b, show ∀ᶠ x in f, r (u x) b from eventually_of_forall hb⟩
#align filter.is_bounded_under_of Filter.isBoundedUnder_of
theorem isBounded_bot : IsBounded r ⊥ ↔ Nonempty α := by simp [IsBounded, exists_true_iff_nonempty]
#align filter.is_bounded_bot Filter.isBounded_bot
theorem isBounded_top : IsBounded r ⊤ ↔ ∃ t, ∀ x, r x t := by simp [IsBounded, eq_univ_iff_forall]
#align filter.is_bounded_top Filter.isBounded_top
| Mathlib/Order/LiminfLimsup.lean | 83 | 84 | theorem isBounded_principal (s : Set α) : IsBounded r (𝓟 s) ↔ ∃ t, ∀ x ∈ s, r x t := by |
simp [IsBounded, subset_def]
|
/-
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
theorem nat_rawCast_0 : (Nat.rawCast 0 : R) = 0 := by simp
| Mathlib/Tactic/Ring/RingNF.lean | 121 | 121 | theorem nat_rawCast_1 : (Nat.rawCast 1 : R) = 1 := by | simp
|
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