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/-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Jakob von Raumer
-/
import Mathlib.CategoryTheory.Limits.Shapes.FiniteProducts
import Mathlib.CategoryTheory.Limits.Shapes.BinaryProducts
import Mathlib.CategoryTheory.Limits.Shapes.Kernels
#align_import category_theory.limits.shapes.biproducts from "leanprover-community/mathlib"@"ac3ae212f394f508df43e37aa093722fa9b65d31"
/-!
# Biproducts and binary biproducts
We introduce the notion of (finite) biproducts and binary biproducts.
These are slightly unusual relative to the other shapes in the library,
as they are simultaneously limits and colimits.
(Zero objects are similar; they are "biterminal".)
For results about biproducts in preadditive categories see
`CategoryTheory.Preadditive.Biproducts`.
In a category with zero morphisms, we model the (binary) biproduct of `P Q : C`
using a `BinaryBicone`, which has a cone point `X`,
and morphisms `fst : X ⟶ P`, `snd : X ⟶ Q`, `inl : P ⟶ X` and `inr : X ⟶ Q`,
such that `inl ≫ fst = 𝟙 P`, `inl ≫ snd = 0`, `inr ≫ fst = 0`, and `inr ≫ snd = 𝟙 Q`.
Such a `BinaryBicone` is a biproduct if the cone is a limit cone, and the cocone is a colimit
cocone.
For biproducts indexed by a `Fintype J`, a `bicone` again consists of a cone point `X`
and morphisms `π j : X ⟶ F j` and `ι j : F j ⟶ X` for each `j`,
such that `ι j ≫ π j'` is the identity when `j = j'` and zero otherwise.
## Notation
As `⊕` is already taken for the sum of types, we introduce the notation `X ⊞ Y` for
a binary biproduct. We introduce `⨁ f` for the indexed biproduct.
## Implementation notes
Prior to leanprover-community/mathlib#14046,
`HasFiniteBiproducts` required a `DecidableEq` instance on the indexing type.
As this had no pay-off (everything about limits is non-constructive in mathlib),
and occasional cost
(constructing decidability instances appropriate for constructions involving the indexing type),
we made everything classical.
-/
noncomputable section
universe w w' v u
open CategoryTheory
open CategoryTheory.Functor
open scoped Classical
namespace CategoryTheory
namespace Limits
variable {J : Type w}
universe uC' uC uD' uD
variable {C : Type uC} [Category.{uC'} C] [HasZeroMorphisms C]
variable {D : Type uD} [Category.{uD'} D] [HasZeroMorphisms D]
/-- A `c : Bicone F` is:
* an object `c.pt` and
* morphisms `π j : pt ⟶ F j` and `ι j : F j ⟶ pt` for each `j`,
* such that `ι j ≫ π j'` is the identity when `j = j'` and zero otherwise.
-/
-- @[nolint has_nonempty_instance] Porting note (#5171): removed
structure Bicone (F : J → C) where
pt : C
π : ∀ j, pt ⟶ F j
ι : ∀ j, F j ⟶ pt
ι_π : ∀ j j', ι j ≫ π j' =
if h : j = j' then eqToHom (congrArg F h) else 0 := by aesop
#align category_theory.limits.bicone CategoryTheory.Limits.Bicone
set_option linter.uppercaseLean3 false in
#align category_theory.limits.bicone_X CategoryTheory.Limits.Bicone.pt
attribute [inherit_doc Bicone] Bicone.pt Bicone.π Bicone.ι Bicone.ι_π
@[reassoc (attr := simp)]
theorem bicone_ι_π_self {F : J → C} (B : Bicone F) (j : J) : B.ι j ≫ B.π j = 𝟙 (F j) := by
simpa using B.ι_π j j
#align category_theory.limits.bicone_ι_π_self CategoryTheory.Limits.bicone_ι_π_self
@[reassoc (attr := simp)]
theorem bicone_ι_π_ne {F : J → C} (B : Bicone F) {j j' : J} (h : j ≠ j') : B.ι j ≫ B.π j' = 0 := by
simpa [h] using B.ι_π j j'
#align category_theory.limits.bicone_ι_π_ne CategoryTheory.Limits.bicone_ι_π_ne
variable {F : J → C}
/-- A bicone morphism between two bicones for the same diagram is a morphism of the bicone points
which commutes with the cone and cocone legs. -/
structure BiconeMorphism {F : J → C} (A B : Bicone F) where
/-- A morphism between the two vertex objects of the bicones -/
hom : A.pt ⟶ B.pt
/-- The triangle consisting of the two natural transformations and `hom` commutes -/
wπ : ∀ j : J, hom ≫ B.π j = A.π j := by aesop_cat
/-- The triangle consisting of the two natural transformations and `hom` commutes -/
wι : ∀ j : J, A.ι j ≫ hom = B.ι j := by aesop_cat
attribute [reassoc (attr := simp)] BiconeMorphism.wι
attribute [reassoc (attr := simp)] BiconeMorphism.wπ
/-- The category of bicones on a given diagram. -/
@[simps]
instance Bicone.category : Category (Bicone F) where
Hom A B := BiconeMorphism A B
comp f g := { hom := f.hom ≫ g.hom }
id B := { hom := 𝟙 B.pt }
-- Porting note: if we do not have `simps` automatically generate the lemma for simplifying
-- the `hom` field of a category, we need to write the `ext` lemma in terms of the categorical
-- morphism, rather than the underlying structure.
@[ext]
| Mathlib/CategoryTheory/Limits/Shapes/Biproducts.lean | 122 | 125 | theorem BiconeMorphism.ext {c c' : Bicone F} (f g : c ⟶ c') (w : f.hom = g.hom) : f = g := by |
cases f
cases g
congr
|
/-
Copyright (c) 2021 Anatole Dedecker. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anatole Dedecker, Eric Wieser
-/
import Mathlib.Analysis.Analytic.Basic
import Mathlib.Analysis.Complex.Basic
import Mathlib.Analysis.Normed.Field.InfiniteSum
import Mathlib.Data.Nat.Choose.Cast
import Mathlib.Data.Finset.NoncommProd
import Mathlib.Topology.Algebra.Algebra
#align_import analysis.normed_space.exponential from "leanprover-community/mathlib"@"62748956a1ece9b26b33243e2e3a2852176666f5"
/-!
# Exponential in a Banach algebra
In this file, we define `exp 𝕂 : 𝔸 → 𝔸`, the exponential map in a topological algebra `𝔸` over a
field `𝕂`.
While for most interesting results we need `𝔸` to be normed algebra, we do not require this in the
definition in order to make `exp` independent of a particular choice of norm. The definition also
does not require that `𝔸` be complete, but we need to assume it for most results.
We then prove some basic results, but we avoid importing derivatives here to minimize dependencies.
Results involving derivatives and comparisons with `Real.exp` and `Complex.exp` can be found in
`Analysis.SpecialFunctions.Exponential`.
## Main results
We prove most result for an arbitrary field `𝕂`, and then specialize to `𝕂 = ℝ` or `𝕂 = ℂ`.
### General case
- `NormedSpace.exp_add_of_commute_of_mem_ball` : if `𝕂` has characteristic zero,
then given two commuting elements `x` and `y` in the disk of convergence, we have
`exp 𝕂 (x+y) = (exp 𝕂 x) * (exp 𝕂 y)`
- `NormedSpace.exp_add_of_mem_ball` : if `𝕂` has characteristic zero and `𝔸` is commutative,
then given two elements `x` and `y` in the disk of convergence, we have
`exp 𝕂 (x+y) = (exp 𝕂 x) * (exp 𝕂 y)`
- `NormedSpace.exp_neg_of_mem_ball` : if `𝕂` has characteristic zero and `𝔸` is a division ring,
then given an element `x` in the disk of convergence, we have `exp 𝕂 (-x) = (exp 𝕂 x)⁻¹`.
### `𝕂 = ℝ` or `𝕂 = ℂ`
- `expSeries_radius_eq_top` : the `FormalMultilinearSeries` defining `exp 𝕂` has infinite
radius of convergence
- `NormedSpace.exp_add_of_commute` : given two commuting elements `x` and `y`, we have
`exp 𝕂 (x+y) = (exp 𝕂 x) * (exp 𝕂 y)`
- `NormedSpace.exp_add` : if `𝔸` is commutative, then we have `exp 𝕂 (x+y) = (exp 𝕂 x) * (exp 𝕂 y)`
for any `x` and `y`
- `NormedSpace.exp_neg` : if `𝔸` is a division ring, then we have `exp 𝕂 (-x) = (exp 𝕂 x)⁻¹`.
- `exp_sum_of_commute` : the analogous result to `NormedSpace.exp_add_of_commute` for `Finset.sum`.
- `exp_sum` : the analogous result to `NormedSpace.exp_add` for `Finset.sum`.
- `NormedSpace.exp_nsmul` : repeated addition in the domain corresponds to
repeated multiplication in the codomain.
- `NormedSpace.exp_zsmul` : repeated addition in the domain corresponds to
repeated multiplication in the codomain.
### Other useful compatibility results
- `NormedSpace.exp_eq_exp` : if `𝔸` is a normed algebra over two fields `𝕂` and `𝕂'`,
then `exp 𝕂 = exp 𝕂' 𝔸`
### Notes
We put nearly all the statements in this file in the `NormedSpace` namespace,
to avoid collisions with the `Real` or `Complex` namespaces.
As of 2023-11-16 due to bad instances in Mathlib
```
import Mathlib
open Real
#time example (x : ℝ) : 0 < exp x := exp_pos _ -- 250ms
#time example (x : ℝ) : 0 < Real.exp x := exp_pos _ -- 2ms
```
This is because `exp x` tries the `NormedSpace.exp` function defined here,
and generates a slow coercion search from `Real` to `Type`, to fit the first argument here.
We will resolve this slow coercion separately,
but we want to move `exp` out of the root namespace in any case to avoid this ambiguity.
In the long term is may be possible to replace `Real.exp` and `Complex.exp` with this one.
-/
namespace NormedSpace
open Filter RCLike ContinuousMultilinearMap NormedField Asymptotics
open scoped Nat Topology ENNReal
section TopologicalAlgebra
variable (𝕂 𝔸 : Type*) [Field 𝕂] [Ring 𝔸] [Algebra 𝕂 𝔸] [TopologicalSpace 𝔸] [TopologicalRing 𝔸]
/-- `expSeries 𝕂 𝔸` is the `FormalMultilinearSeries` whose `n`-th term is the map
`(xᵢ) : 𝔸ⁿ ↦ (1/n! : 𝕂) • ∏ xᵢ`. Its sum is the exponential map `exp 𝕂 : 𝔸 → 𝔸`. -/
def expSeries : FormalMultilinearSeries 𝕂 𝔸 𝔸 := fun n =>
(n !⁻¹ : 𝕂) • ContinuousMultilinearMap.mkPiAlgebraFin 𝕂 n 𝔸
#align exp_series NormedSpace.expSeries
variable {𝔸}
/-- `exp 𝕂 : 𝔸 → 𝔸` is the exponential map determined by the action of `𝕂` on `𝔸`.
It is defined as the sum of the `FormalMultilinearSeries` `expSeries 𝕂 𝔸`.
Note that when `𝔸 = Matrix n n 𝕂`, this is the **Matrix Exponential**; see
[`Analysis.NormedSpace.MatrixExponential`](./MatrixExponential) for lemmas specific to that
case. -/
noncomputable def exp (x : 𝔸) : 𝔸 :=
(expSeries 𝕂 𝔸).sum x
#align exp NormedSpace.exp
variable {𝕂}
| Mathlib/Analysis/NormedSpace/Exponential.lean | 119 | 120 | theorem expSeries_apply_eq (x : 𝔸) (n : ℕ) :
(expSeries 𝕂 𝔸 n fun _ => x) = (n !⁻¹ : 𝕂) • x ^ n := by | simp [expSeries]
|
/-
Copyright (c) 2022 Niels Voss. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Niels Voss
-/
import Mathlib.FieldTheory.Finite.Basic
import Mathlib.Order.Filter.Cofinite
#align_import number_theory.fermat_psp from "leanprover-community/mathlib"@"c0439b4877c24a117bfdd9e32faf62eee9b115eb"
/-!
# Fermat Pseudoprimes
In this file we define Fermat pseudoprimes: composite numbers that pass the Fermat primality test.
A natural number `n` passes the Fermat primality test to base `b` (and is therefore deemed a
"probable prime") if `n` divides `b ^ (n - 1) - 1`. `n` is a Fermat pseudoprime to base `b` if `n`
is a composite number that passes the Fermat primality test to base `b` and is coprime with `b`.
Fermat pseudoprimes can also be seen as composite numbers for which Fermat's little theorem holds
true.
Numbers which are Fermat pseudoprimes to all bases are known as Carmichael numbers (not yet defined
in this file).
## Main Results
The main definitions for this file are
- `Nat.ProbablePrime`: A number `n` is a probable prime to base `b` if it passes the Fermat
primality test; that is, if `n` divides `b ^ (n - 1) - 1`
- `Nat.FermatPsp`: A number `n` is a pseudoprime to base `b` if it is a probable prime to base `b`,
is composite, and is coprime with `b` (this last condition is automatically true if `n` divides
`b ^ (n - 1) - 1`, but some sources include it in the definition).
Note that all composite numbers are pseudoprimes to base 0 and 1, and that the definition of
`Nat.ProbablePrime` in this file implies that all numbers are probable primes to bases 0 and 1, and
that 0 and 1 are probable primes to any base.
The main theorems are
- `Nat.exists_infinite_pseudoprimes`: there are infinite pseudoprimes to any base `b ≥ 1`
-/
namespace Nat
/--
`n` is a probable prime to base `b` if `n` passes the Fermat primality test; that is, `n` divides
`b ^ (n - 1) - 1`.
This definition implies that all numbers are probable primes to base 0 or 1, and that 0 and 1 are
probable primes to any base.
-/
def ProbablePrime (n b : ℕ) : Prop :=
n ∣ b ^ (n - 1) - 1
#align fermat_psp.probable_prime Nat.ProbablePrime
/--
`n` is a Fermat pseudoprime to base `b` if `n` is a probable prime to base `b` and is composite. By
this definition, all composite natural numbers are pseudoprimes to base 0 and 1. This definition
also permits `n` to be less than `b`, so that 4 is a pseudoprime to base 5, for example.
-/
def FermatPsp (n b : ℕ) : Prop :=
ProbablePrime n b ∧ ¬n.Prime ∧ 1 < n
#align fermat_psp Nat.FermatPsp
instance decidableProbablePrime (n b : ℕ) : Decidable (ProbablePrime n b) :=
Nat.decidable_dvd _ _
#align fermat_psp.decidable_probable_prime Nat.decidableProbablePrime
instance decidablePsp (n b : ℕ) : Decidable (FermatPsp n b) :=
And.decidable
#align fermat_psp.decidable_psp Nat.decidablePsp
/-- If `n` passes the Fermat primality test to base `b`, then `n` is coprime with `b`, assuming that
`n` and `b` are both positive.
-/
theorem coprime_of_probablePrime {n b : ℕ} (h : ProbablePrime n b) (h₁ : 1 ≤ n) (h₂ : 1 ≤ b) :
Nat.Coprime n b := by
by_cases h₃ : 2 ≤ n
· -- To prove that `n` is coprime with `b`, we need to show that for all prime factors of `n`,
-- we can derive a contradiction if `n` divides `b`.
apply Nat.coprime_of_dvd
-- If `k` is a prime number that divides both `n` and `b`, then we know that `n = m * k` and
-- `b = j * k` for some natural numbers `m` and `j`. We substitute these into the hypothesis.
rintro k hk ⟨m, rfl⟩ ⟨j, rfl⟩
-- Because prime numbers do not divide 1, it suffices to show that `k ∣ 1` to prove a
-- contradiction
apply Nat.Prime.not_dvd_one hk
-- Since `n` divides `b ^ (n - 1) - 1`, `k` also divides `b ^ (n - 1) - 1`
replace h := dvd_of_mul_right_dvd h
-- Because `k` divides `b ^ (n - 1) - 1`, if we can show that `k` also divides `b ^ (n - 1)`,
-- then we know `k` divides 1.
rw [Nat.dvd_add_iff_right h, Nat.sub_add_cancel (Nat.one_le_pow _ _ h₂)]
-- Since `k` divides `b`, `k` also divides any power of `b` except `b ^ 0`. Therefore, it
-- suffices to show that `n - 1` isn't zero. However, we know that `n - 1` isn't zero because we
-- assumed `2 ≤ n` when doing `by_cases`.
refine dvd_of_mul_right_dvd (dvd_pow_self (k * j) ?_)
omega
-- If `n = 1`, then it follows trivially that `n` is coprime with `b`.
· rw [show n = 1 by omega]
norm_num
#align fermat_psp.coprime_of_probable_prime Nat.coprime_of_probablePrime
theorem probablePrime_iff_modEq (n : ℕ) {b : ℕ} (h : 1 ≤ b) :
ProbablePrime n b ↔ b ^ (n - 1) ≡ 1 [MOD n] := by
have : 1 ≤ b ^ (n - 1) := one_le_pow_of_one_le h (n - 1)
-- For exact mod_cast
rw [Nat.ModEq.comm]
constructor
· intro h₁
apply Nat.modEq_of_dvd
exact mod_cast h₁
· intro h₁
exact mod_cast Nat.ModEq.dvd h₁
#align fermat_psp.probable_prime_iff_modeq Nat.probablePrime_iff_modEq
/-- If `n` is a Fermat pseudoprime to base `b`, then `n` is coprime with `b`, assuming that `b` is
positive.
This lemma is a small wrapper based on `coprime_of_probablePrime`
-/
| Mathlib/NumberTheory/FermatPsp.lean | 120 | 122 | theorem coprime_of_fermatPsp {n b : ℕ} (h : FermatPsp n b) (h₁ : 1 ≤ b) : Nat.Coprime n b := by |
rcases h with ⟨hp, _, hn₂⟩
exact coprime_of_probablePrime hp (by omega) h₁
|
/-
Copyright (c) 2022 Cuma Kökmen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Cuma Kökmen, Yury Kudryashov
-/
import Mathlib.MeasureTheory.Constructions.Prod.Integral
import Mathlib.MeasureTheory.Integral.CircleIntegral
#align_import measure_theory.integral.torus_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
/-!
# Integral over a torus in `ℂⁿ`
In this file we define the integral of a function `f : ℂⁿ → E` over a torus
`{z : ℂⁿ | ∀ i, z i ∈ Metric.sphere (c i) (R i)}`. In order to do this, we define
`torusMap (c : ℂⁿ) (R θ : ℝⁿ)` to be the point in `ℂⁿ` given by $z_k=c_k+R_ke^{θ_ki}$,
where $i$ is the imaginary unit, then define `torusIntegral f c R` as the integral over
the cube $[0, (fun _ ↦ 2π)] = \{θ\|∀ k, 0 ≤ θ_k ≤ 2π\}$ of the Jacobian of the
`torusMap` multiplied by `f (torusMap c R θ)`.
We also define a predicate saying that `f ∘ torusMap c R` is integrable on the cube
`[0, (fun _ ↦ 2π)]`.
## Main definitions
* `torusMap c R`: the generalized multidimensional exponential map from `ℝⁿ` to `ℂⁿ` that sends
$θ=(θ_0,…,θ_{n-1})$ to $z=(z_0,…,z_{n-1})$, where $z_k= c_k + R_ke^{θ_k i}$;
* `TorusIntegrable f c R`: a function `f : ℂⁿ → E` is integrable over the generalized torus
with center `c : ℂⁿ` and radius `R : ℝⁿ` if `f ∘ torusMap c R` is integrable on the
closed cube `Icc (0 : ℝⁿ) (fun _ ↦ 2 * π)`;
* `torusIntegral f c R`: the integral of a function `f : ℂⁿ → E` over a torus with
center `c ∈ ℂⁿ` and radius `R ∈ ℝⁿ` defined as
$\iiint_{[0, 2 * π]} (∏_{k = 1}^{n} i R_k e^{θ_k * i}) • f (c + Re^{θ_k i})\,dθ_0…dθ_{k-1}$.
## Main statements
* `torusIntegral_dim0`, `torusIntegral_dim1`, `torusIntegral_succ`: formulas for `torusIntegral`
in cases of dimension `0`, `1`, and `n + 1`.
## Notations
- `ℝ⁰`, `ℝ¹`, `ℝⁿ`, `ℝⁿ⁺¹`: local notation for `Fin 0 → ℝ`, `Fin 1 → ℝ`, `Fin n → ℝ`, and
`Fin (n + 1) → ℝ`, respectively;
- `ℂ⁰`, `ℂ¹`, `ℂⁿ`, `ℂⁿ⁺¹`: local notation for `Fin 0 → ℂ`, `Fin 1 → ℂ`, `Fin n → ℂ`, and
`Fin (n + 1) → ℂ`, respectively;
- `∯ z in T(c, R), f z`: notation for `torusIntegral f c R`;
- `∮ z in C(c, R), f z`: notation for `circleIntegral f c R`, defined elsewhere;
- `∏ k, f k`: notation for `Finset.prod`, defined elsewhere;
- `π`: notation for `Real.pi`, defined elsewhere.
## Tags
integral, torus
-/
variable {n : ℕ}
variable {E : Type*} [NormedAddCommGroup E]
noncomputable section
open Complex Set MeasureTheory Function Filter TopologicalSpace
open scoped Real
-- Porting note: notation copied from `./DivergenceTheorem`
local macro:arg t:term:max noWs "ⁿ⁺¹" : term => `(Fin (n + 1) → $t)
local macro:arg t:term:max noWs "ⁿ" : term => `(Fin n → $t)
local macro:arg t:term:max noWs "⁰" : term => `(Fin 0 → $t)
local macro:arg t:term:max noWs "¹" : term => `(Fin 1 → $t)
/-!
### `torusMap`, a parametrization of a torus
-/
/-- The n dimensional exponential map $θ_i ↦ c + R e^{θ_i*I}, θ ∈ ℝⁿ$ representing
a torus in `ℂⁿ` with center `c ∈ ℂⁿ` and generalized radius `R ∈ ℝⁿ`, so we can adjust
it to every n axis. -/
def torusMap (c : ℂⁿ) (R : ℝⁿ) : ℝⁿ → ℂⁿ := fun θ i => c i + R i * exp (θ i * I)
#align torus_map torusMap
theorem torusMap_sub_center (c : ℂⁿ) (R : ℝⁿ) (θ : ℝⁿ) : torusMap c R θ - c = torusMap 0 R θ := by
ext1 i; simp [torusMap]
#align torus_map_sub_center torusMap_sub_center
theorem torusMap_eq_center_iff {c : ℂⁿ} {R : ℝⁿ} {θ : ℝⁿ} : torusMap c R θ = c ↔ R = 0 := by
simp [funext_iff, torusMap, exp_ne_zero]
#align torus_map_eq_center_iff torusMap_eq_center_iff
@[simp]
theorem torusMap_zero_radius (c : ℂⁿ) : torusMap c 0 = const ℝⁿ c :=
funext fun _ ↦ torusMap_eq_center_iff.2 rfl
#align torus_map_zero_radius torusMap_zero_radius
/-!
### Integrability of a function on a generalized torus
-/
/-- A function `f : ℂⁿ → E` is integrable on the generalized torus if the function
`f ∘ torusMap c R θ` is integrable on `Icc (0 : ℝⁿ) (fun _ ↦ 2 * π)`. -/
def TorusIntegrable (f : ℂⁿ → E) (c : ℂⁿ) (R : ℝⁿ) : Prop :=
IntegrableOn (fun θ : ℝⁿ => f (torusMap c R θ)) (Icc (0 : ℝⁿ) fun _ => 2 * π) volume
#align torus_integrable TorusIntegrable
namespace TorusIntegrable
-- Porting note (#11215): TODO: restore notation; `neg`, `add` etc fail if I use notation here
variable {f g : (Fin n → ℂ) → E} {c : Fin n → ℂ} {R : Fin n → ℝ}
/-- Constant functions are torus integrable -/
| Mathlib/MeasureTheory/Integral/TorusIntegral.lean | 113 | 114 | theorem torusIntegrable_const (a : E) (c : ℂⁿ) (R : ℝⁿ) : TorusIntegrable (fun _ => a) c R := by |
simp [TorusIntegrable, measure_Icc_lt_top]
|
/-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import Mathlib.Geometry.RingedSpace.PresheafedSpace
import Mathlib.CategoryTheory.Limits.Final
import Mathlib.Topology.Sheaves.Stalks
#align_import algebraic_geometry.stalks from "leanprover-community/mathlib"@"d39590fc8728fbf6743249802486f8c91ffe07bc"
/-!
# Stalks for presheaved spaces
This file lifts constructions of stalks and pushforwards of stalks to work with
the category of presheafed spaces. Additionally, we prove that restriction of
presheafed spaces does not change the stalks.
-/
noncomputable section
universe v u v' u'
open Opposite CategoryTheory CategoryTheory.Category CategoryTheory.Functor CategoryTheory.Limits
AlgebraicGeometry TopologicalSpace
variable {C : Type u} [Category.{v} C] [HasColimits C]
-- Porting note: no tidy tactic
-- attribute [local tidy] tactic.auto_cases_opens
-- this could be replaced by
-- attribute [local aesop safe cases (rule_sets := [CategoryTheory])] Opens
-- but it doesn't appear to be needed here.
open TopCat.Presheaf
namespace AlgebraicGeometry.PresheafedSpace
/-- The stalk at `x` of a `PresheafedSpace`.
-/
abbrev stalk (X : PresheafedSpace C) (x : X) : C :=
X.presheaf.stalk x
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk AlgebraicGeometry.PresheafedSpace.stalk
/-- A morphism of presheafed spaces induces a morphism of stalks.
-/
def stalkMap {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (x : X) :
Y.stalk (α.base x) ⟶ X.stalk x :=
(stalkFunctor C (α.base x)).map α.c ≫ X.presheaf.stalkPushforward C α.base x
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map AlgebraicGeometry.PresheafedSpace.stalkMap
@[elementwise, reassoc]
theorem stalkMap_germ {X Y : PresheafedSpace.{_, _, v} C} (α : X ⟶ Y) (U : Opens Y)
(x : (Opens.map α.base).obj U) :
Y.presheaf.germ ⟨α.base x.1, x.2⟩ ≫ stalkMap α ↑x = α.c.app (op U) ≫ X.presheaf.germ x := by
rw [stalkMap, stalkFunctor_map_germ_assoc, stalkPushforward_germ]
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.stalk_map_germ AlgebraicGeometry.PresheafedSpace.stalkMap_germ
@[simp, elementwise, reassoc]
theorem stalkMap_germ' {X Y : PresheafedSpace.{_, _, v} C}
(α : X ⟶ Y) (U : Opens Y) (x : X) (hx : α.base x ∈ U) :
Y.presheaf.germ ⟨α.base x, hx⟩ ≫ stalkMap α x = α.c.app (op U) ≫
X.presheaf.germ (U := (Opens.map α.base).obj U) ⟨x, hx⟩ :=
PresheafedSpace.stalkMap_germ α U ⟨x, hx⟩
section Restrict
/-- For an open embedding `f : U ⟶ X` and a point `x : U`, we get an isomorphism between the stalk
of `X` at `f x` and the stalk of the restriction of `X` along `f` at t `x`.
-/
def restrictStalkIso {U : TopCat} (X : PresheafedSpace.{_, _, v} C) {f : U ⟶ (X : TopCat.{v})}
(h : OpenEmbedding f) (x : U) : (X.restrict h).stalk x ≅ X.stalk (f x) :=
haveI := initial_of_adjunction (h.isOpenMap.adjunctionNhds x)
Final.colimitIso (h.isOpenMap.functorNhds x).op ((OpenNhds.inclusion (f x)).op ⋙ X.presheaf)
-- As a left adjoint, the functor `h.is_open_map.functor_nhds x` is initial.
-- Typeclass resolution knows that the opposite of an initial functor is final. The result
-- follows from the general fact that postcomposing with a final functor doesn't change colimits.
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.restrict_stalk_iso AlgebraicGeometry.PresheafedSpace.restrictStalkIso
-- Porting note (#11119): removed `simp` attribute, for left hand side is not in simple normal form.
@[elementwise, reassoc]
theorem restrictStalkIso_hom_eq_germ {U : TopCat} (X : PresheafedSpace.{_, _, v} C)
{f : U ⟶ (X : TopCat.{v})} (h : OpenEmbedding f) (V : Opens U) (x : U) (hx : x ∈ V) :
(X.restrict h).presheaf.germ ⟨x, hx⟩ ≫ (restrictStalkIso X h x).hom =
X.presheaf.germ ⟨f x, show f x ∈ h.isOpenMap.functor.obj V from ⟨x, hx, rfl⟩⟩ :=
colimit.ι_pre ((OpenNhds.inclusion (f x)).op ⋙ X.presheaf) (h.isOpenMap.functorNhds x).op
(op ⟨V, hx⟩)
set_option linter.uppercaseLean3 false in
#align algebraic_geometry.PresheafedSpace.restrict_stalk_iso_hom_eq_germ AlgebraicGeometry.PresheafedSpace.restrictStalkIso_hom_eq_germ
-- We intentionally leave `simp` off the lemmas generated by `elementwise` and `reassoc`,
-- as the simpNF linter claims they never apply.
@[simp, elementwise, reassoc]
| Mathlib/Geometry/RingedSpace/Stalks.lean | 99 | 104 | theorem restrictStalkIso_inv_eq_germ {U : TopCat} (X : PresheafedSpace.{_, _, v} C)
{f : U ⟶ (X : TopCat.{v})} (h : OpenEmbedding f) (V : Opens U) (x : U) (hx : x ∈ V) :
X.presheaf.germ ⟨f x, show f x ∈ h.isOpenMap.functor.obj V from ⟨x, hx, rfl⟩⟩ ≫
(restrictStalkIso X h x).inv =
(X.restrict h).presheaf.germ ⟨x, hx⟩ := by |
rw [← restrictStalkIso_hom_eq_germ, Category.assoc, Iso.hom_inv_id, Category.comp_id]
|
/-
Copyright (c) 2021 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Batteries.Data.UnionFind.Basic
namespace Batteries.UnionFind
@[simp] theorem arr_empty : empty.arr = #[] := rfl
@[simp] theorem parent_empty : empty.parent a = a := rfl
@[simp] theorem rank_empty : empty.rank a = 0 := rfl
@[simp] theorem rootD_empty : empty.rootD a = a := rfl
@[simp] theorem arr_push {m : UnionFind} : m.push.arr = m.arr.push ⟨m.arr.size, 0⟩ := rfl
@[simp] theorem parentD_push {arr : Array UFNode} :
parentD (arr.push ⟨arr.size, 0⟩) a = parentD arr a := by
simp [parentD]; split <;> split <;> try simp [Array.get_push, *]
· next h1 h2 =>
simp [Nat.lt_succ] at h1 h2
exact Nat.le_antisymm h2 h1
· next h1 h2 => cases h1 (Nat.lt_succ_of_lt h2)
@[simp] theorem parent_push {m : UnionFind} : m.push.parent a = m.parent a := by simp [parent]
@[simp] theorem rankD_push {arr : Array UFNode} :
rankD (arr.push ⟨arr.size, 0⟩) a = rankD arr a := by
simp [rankD]; split <;> split <;> try simp [Array.get_push, *]
next h1 h2 => cases h1 (Nat.lt_succ_of_lt h2)
@[simp] theorem rank_push {m : UnionFind} : m.push.rank a = m.rank a := by simp [rank]
@[simp] theorem rankMax_push {m : UnionFind} : m.push.rankMax = m.rankMax := by simp [rankMax]
@[simp] theorem root_push {self : UnionFind} : self.push.rootD x = self.rootD x :=
rootD_ext fun _ => parent_push
@[simp] theorem arr_link : (link self x y yroot).arr = linkAux self.arr x y := rfl
theorem parentD_linkAux {self} {x y : Fin self.size} :
parentD (linkAux self x y) i =
if x.1 = y then
parentD self i
else
if (self.get y).rank < (self.get x).rank then
if y = i then x else parentD self i
else
if x = i then y else parentD self i := by
dsimp only [linkAux]; split <;> [rfl; split] <;> [rw [parentD_set]; split] <;> rw [parentD_set]
split <;> [(subst i; rwa [if_neg, parentD_eq]); rw [parentD_set]]
theorem parent_link {self} {x y : Fin self.size} (yroot) {i} :
(link self x y yroot).parent i =
if x.1 = y then
self.parent i
else
if self.rank y < self.rank x then
if y = i then x else self.parent i
else
if x = i then y else self.parent i := by
simp [rankD_eq]; exact parentD_linkAux
theorem root_link {self : UnionFind} {x y : Fin self.size}
(xroot : self.parent x = x) (yroot : self.parent y = y) :
∃ r, (r = x ∨ r = y) ∧ ∀ i,
(link self x y yroot).rootD i =
if self.rootD i = x ∨ self.rootD i = y then r.1 else self.rootD i := by
if h : x.1 = y then
refine ⟨x, .inl rfl, fun i => ?_⟩
rw [rootD_ext (m2 := self) (fun _ => by rw [parent_link, if_pos h])]
split <;> [obtain _ | _ := ‹_› <;> simp [*]; rfl]
else
have {x y : Fin self.size}
(xroot : self.parent x = x) (yroot : self.parent y = y) {m : UnionFind}
(hm : ∀ i, m.parent i = if y = i then x.1 else self.parent i) :
∃ r, (r = x ∨ r = y) ∧ ∀ i,
m.rootD i = if self.rootD i = x ∨ self.rootD i = y then r.1 else self.rootD i := by
let rec go (i) :
m.rootD i = if self.rootD i = x ∨ self.rootD i = y then x.1 else self.rootD i := by
if h : m.parent i = i then
rw [rootD_eq_self.2 h]; rw [hm i] at h; split at h
· rw [if_pos, h]; simp [← h, rootD_eq_self, xroot]
· rw [rootD_eq_self.2 ‹_›]; split <;> [skip; rfl]
next h' => exact h'.resolve_right (Ne.symm ‹_›)
else
have _ := Nat.sub_lt_sub_left (m.lt_rankMax i) (m.rank_lt h)
rw [← rootD_parent, go (m.parent i)]
rw [hm i]; split <;> [subst i; rw [rootD_parent]]
simp [rootD_eq_self.2 xroot, rootD_eq_self.2 yroot]
termination_by m.rankMax - m.rank i
exact ⟨x, .inl rfl, go⟩
if hr : self.rank y < self.rank x then
exact this xroot yroot fun i => by simp [parent_link, h, hr]
else
simpa (config := {singlePass := true}) [or_comm] using
this yroot xroot fun i => by simp [parent_link, h, hr]
nonrec theorem Equiv.rfl : Equiv self a a := rfl
theorem Equiv.symm : Equiv self a b → Equiv self b a := .symm
theorem Equiv.trans : Equiv self a b → Equiv self b c → Equiv self a c := .trans
@[simp] theorem equiv_empty : Equiv empty a b ↔ a = b := by simp [Equiv]
@[simp] theorem equiv_push : Equiv self.push a b ↔ Equiv self a b := by simp [Equiv]
@[simp] theorem equiv_rootD : Equiv self (self.rootD a) a := by simp [Equiv, rootD_rootD]
@[simp] theorem equiv_rootD_l : Equiv self (self.rootD a) b ↔ Equiv self a b := by
simp [Equiv, rootD_rootD]
@[simp] theorem equiv_rootD_r : Equiv self a (self.rootD b) ↔ Equiv self a b := by
simp [Equiv, rootD_rootD]
| .lake/packages/batteries/Batteries/Data/UnionFind/Lemmas.lean | 113 | 113 | theorem equiv_find : Equiv (self.find x).1 a b ↔ Equiv self a b := by | simp [Equiv, find_root_1]
|
/-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import Mathlib.SetTheory.Game.State
#align_import set_theory.game.domineering from "leanprover-community/mathlib"@"b134b2f5cf6dd25d4bbfd3c498b6e36c11a17225"
/-!
# Domineering as a combinatorial game.
We define the game of Domineering, played on a chessboard of arbitrary shape
(possibly even disconnected).
Left moves by placing a domino vertically, while Right moves by placing a domino horizontally.
This is only a fragment of a full development;
in order to successfully analyse positions we would need some more theorems.
Most importantly, we need a general statement that allows us to discard irrelevant moves.
Specifically to domineering, we need the fact that
disjoint parts of the chessboard give sums of games.
-/
namespace SetTheory
namespace PGame
namespace Domineering
open Function
/-- The equivalence `(x, y) ↦ (x, y+1)`. -/
@[simps!]
def shiftUp : ℤ × ℤ ≃ ℤ × ℤ :=
(Equiv.refl ℤ).prodCongr (Equiv.addRight (1 : ℤ))
#align pgame.domineering.shift_up SetTheory.PGame.Domineering.shiftUp
/-- The equivalence `(x, y) ↦ (x+1, y)`. -/
@[simps!]
def shiftRight : ℤ × ℤ ≃ ℤ × ℤ :=
(Equiv.addRight (1 : ℤ)).prodCongr (Equiv.refl ℤ)
#align pgame.domineering.shift_right SetTheory.PGame.Domineering.shiftRight
/-- A Domineering board is an arbitrary finite subset of `ℤ × ℤ`. -/
-- Porting note: reducibility cannot be `local`. For now there are no dependents of this file so
-- being globally reducible is fine.
abbrev Board :=
Finset (ℤ × ℤ)
#align pgame.domineering.board SetTheory.PGame.Domineering.Board
/-- Left can play anywhere that a square and the square below it are open. -/
def left (b : Board) : Finset (ℤ × ℤ) :=
b ∩ b.map shiftUp
#align pgame.domineering.left SetTheory.PGame.Domineering.left
/-- Right can play anywhere that a square and the square to the left are open. -/
def right (b : Board) : Finset (ℤ × ℤ) :=
b ∩ b.map shiftRight
#align pgame.domineering.right SetTheory.PGame.Domineering.right
theorem mem_left {b : Board} (x : ℤ × ℤ) : x ∈ left b ↔ x ∈ b ∧ (x.1, x.2 - 1) ∈ b :=
Finset.mem_inter.trans (and_congr Iff.rfl Finset.mem_map_equiv)
#align pgame.domineering.mem_left SetTheory.PGame.Domineering.mem_left
theorem mem_right {b : Board} (x : ℤ × ℤ) : x ∈ right b ↔ x ∈ b ∧ (x.1 - 1, x.2) ∈ b :=
Finset.mem_inter.trans (and_congr Iff.rfl Finset.mem_map_equiv)
#align pgame.domineering.mem_right SetTheory.PGame.Domineering.mem_right
/-- After Left moves, two vertically adjacent squares are removed from the board. -/
def moveLeft (b : Board) (m : ℤ × ℤ) : Board :=
(b.erase m).erase (m.1, m.2 - 1)
#align pgame.domineering.move_left SetTheory.PGame.Domineering.moveLeft
/-- After Left moves, two horizontally adjacent squares are removed from the board. -/
def moveRight (b : Board) (m : ℤ × ℤ) : Board :=
(b.erase m).erase (m.1 - 1, m.2)
#align pgame.domineering.move_right SetTheory.PGame.Domineering.moveRight
theorem fst_pred_mem_erase_of_mem_right {b : Board} {m : ℤ × ℤ} (h : m ∈ right b) :
(m.1 - 1, m.2) ∈ b.erase m := by
rw [mem_right] at h
apply Finset.mem_erase_of_ne_of_mem _ h.2
exact ne_of_apply_ne Prod.fst (pred_ne_self m.1)
#align pgame.domineering.fst_pred_mem_erase_of_mem_right SetTheory.PGame.Domineering.fst_pred_mem_erase_of_mem_right
| Mathlib/SetTheory/Game/Domineering.lean | 86 | 90 | theorem snd_pred_mem_erase_of_mem_left {b : Board} {m : ℤ × ℤ} (h : m ∈ left b) :
(m.1, m.2 - 1) ∈ b.erase m := by |
rw [mem_left] at h
apply Finset.mem_erase_of_ne_of_mem _ h.2
exact ne_of_apply_ne Prod.snd (pred_ne_self m.2)
|
/-
Copyright (c) 2023 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Joseph Myers
-/
import Mathlib.Analysis.InnerProductSpace.Orthogonal
import Mathlib.Analysis.Normed.Group.AddTorsor
#align_import geometry.euclidean.basic from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
/-!
# Perpendicular bisector of a segment
We define `AffineSubspace.perpBisector p₁ p₂` to be the perpendicular bisector of the segment
`[p₁, p₂]`, as a bundled affine subspace. We also prove that a point belongs to the perpendicular
bisector if and only if it is equidistant from `p₁` and `p₂`, as well as a few linear equations that
define this subspace.
## Keywords
euclidean geometry, perpendicular, perpendicular bisector, line segment bisector, equidistant
-/
open Set
open scoped RealInnerProductSpace
variable {V P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
variable [NormedAddTorsor V P]
noncomputable section
namespace AffineSubspace
variable {c c₁ c₂ p₁ p₂ : P}
/-- Perpendicular bisector of a segment in a Euclidean affine space. -/
def perpBisector (p₁ p₂ : P) : AffineSubspace ℝ P :=
.comap ((AffineEquiv.vaddConst ℝ (midpoint ℝ p₁ p₂)).symm : P →ᵃ[ℝ] V) <|
(LinearMap.ker (innerₛₗ ℝ (p₂ -ᵥ p₁))).toAffineSubspace
/-- A point `c` belongs the perpendicular bisector of `[p₁, p₂] iff `p₂ -ᵥ p₁` is orthogonal to
`c -ᵥ midpoint ℝ p₁ p₂`. -/
theorem mem_perpBisector_iff_inner_eq_zero' :
c ∈ perpBisector p₁ p₂ ↔ ⟪p₂ -ᵥ p₁, c -ᵥ midpoint ℝ p₁ p₂⟫ = 0 :=
Iff.rfl
/-- A point `c` belongs the perpendicular bisector of `[p₁, p₂] iff `c -ᵥ midpoint ℝ p₁ p₂` is
orthogonal to `p₂ -ᵥ p₁`. -/
theorem mem_perpBisector_iff_inner_eq_zero :
c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ midpoint ℝ p₁ p₂, p₂ -ᵥ p₁⟫ = 0 :=
inner_eq_zero_symm
theorem mem_perpBisector_iff_inner_pointReflection_vsub_eq_zero :
c ∈ perpBisector p₁ p₂ ↔ ⟪Equiv.pointReflection c p₁ -ᵥ p₂, p₂ -ᵥ p₁⟫ = 0 := by
rw [mem_perpBisector_iff_inner_eq_zero, Equiv.pointReflection_apply,
vsub_midpoint, invOf_eq_inv, ← smul_add, real_inner_smul_left, vadd_vsub_assoc]
simp
theorem mem_perpBisector_pointReflection_iff_inner_eq_zero :
c ∈ perpBisector p₁ (Equiv.pointReflection p₂ p₁) ↔ ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ = 0 := by
rw [mem_perpBisector_iff_inner_eq_zero, midpoint_pointReflection_right,
Equiv.pointReflection_apply, vadd_vsub_assoc, inner_add_right, add_self_eq_zero,
← neg_eq_zero, ← inner_neg_right, neg_vsub_eq_vsub_rev]
theorem midpoint_mem_perpBisector (p₁ p₂ : P) :
midpoint ℝ p₁ p₂ ∈ perpBisector p₁ p₂ := by
simp [mem_perpBisector_iff_inner_eq_zero]
theorem perpBisector_nonempty : (perpBisector p₁ p₂ : Set P).Nonempty :=
⟨_, midpoint_mem_perpBisector _ _⟩
@[simp]
theorem direction_perpBisector (p₁ p₂ : P) :
(perpBisector p₁ p₂).direction = (ℝ ∙ (p₂ -ᵥ p₁))ᗮ := by
erw [perpBisector, comap_symm, map_direction, Submodule.map_id,
Submodule.toAffineSubspace_direction]
ext x
exact Submodule.mem_orthogonal_singleton_iff_inner_right.symm
| Mathlib/Geometry/Euclidean/PerpBisector.lean | 80 | 84 | theorem mem_perpBisector_iff_inner_eq_inner :
c ∈ perpBisector p₁ p₂ ↔ ⟪c -ᵥ p₁, p₂ -ᵥ p₁⟫ = ⟪c -ᵥ p₂, p₁ -ᵥ p₂⟫ := by |
rw [Iff.comm, mem_perpBisector_iff_inner_eq_zero, ← add_neg_eq_zero, ← inner_neg_right,
neg_vsub_eq_vsub_rev, ← inner_add_left, vsub_midpoint, invOf_eq_inv, ← smul_add,
real_inner_smul_left]; simp
|
/-
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.Algebra.QuadraticDiscriminant
import Mathlib.Analysis.Convex.SpecificFunctions.Deriv
import Mathlib.Analysis.SpecialFunctions.Pow.Complex
#align_import analysis.special_functions.trigonometric.complex from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92"
/-!
# Complex trigonometric functions
Basic facts and derivatives for the complex trigonometric functions.
Several facts about the real trigonometric functions have the proofs deferred here, rather than
`Analysis.SpecialFunctions.Trigonometric.Basic`,
as they are most easily proved by appealing to the corresponding fact for complex trigonometric
functions, or require additional imports which are not available in that file.
-/
noncomputable section
namespace Complex
open Set Filter
open scoped Real
theorem cos_eq_zero_iff {θ : ℂ} : cos θ = 0 ↔ ∃ k : ℤ, θ = (2 * k + 1) * π / 2 := by
have h : (exp (θ * I) + exp (-θ * I)) / 2 = 0 ↔ exp (2 * θ * I) = -1 := by
rw [@div_eq_iff _ _ (exp (θ * I) + exp (-θ * I)) 2 0 two_ne_zero, zero_mul,
add_eq_zero_iff_eq_neg, neg_eq_neg_one_mul, ← div_eq_iff (exp_ne_zero _), ← exp_sub]
ring_nf
rw [cos, h, ← exp_pi_mul_I, exp_eq_exp_iff_exists_int, mul_right_comm]
refine exists_congr fun x => ?_
refine (iff_of_eq <| congr_arg _ ?_).trans (mul_right_inj' <| mul_ne_zero two_ne_zero I_ne_zero)
field_simp; ring
#align complex.cos_eq_zero_iff Complex.cos_eq_zero_iff
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Complex.lean | 43 | 44 | theorem cos_ne_zero_iff {θ : ℂ} : cos θ ≠ 0 ↔ ∀ k : ℤ, θ ≠ (2 * k + 1) * π / 2 := by |
rw [← not_exists, not_iff_not, cos_eq_zero_iff]
|
/-
Copyright (c) 2022 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation
#align_import linear_algebra.clifford_algebra.fold from "leanprover-community/mathlib"@"446eb51ce0a90f8385f260d2b52e760e2004246b"
/-!
# Recursive computation rules for the Clifford algebra
This file provides API for a special case `CliffordAlgebra.foldr` of the universal property
`CliffordAlgebra.lift` with `A = Module.End R N` for some arbitrary module `N`. This specialization
resembles the `list.foldr` operation, allowing a bilinear map to be "folded" along the generators.
For convenience, this file also provides `CliffordAlgebra.foldl`, implemented via
`CliffordAlgebra.reverse`
## Main definitions
* `CliffordAlgebra.foldr`: a computation rule for building linear maps out of the clifford
algebra starting on the right, analogous to using `list.foldr` on the generators.
* `CliffordAlgebra.foldl`: a computation rule for building linear maps out of the clifford
algebra starting on the left, analogous to using `list.foldl` on the generators.
## Main statements
* `CliffordAlgebra.right_induction`: an induction rule that adds generators from the right.
* `CliffordAlgebra.left_induction`: an induction rule that adds generators from the left.
-/
universe u1 u2 u3
variable {R M N : Type*}
variable [CommRing R] [AddCommGroup M] [AddCommGroup N]
variable [Module R M] [Module R N]
variable (Q : QuadraticForm R M)
namespace CliffordAlgebra
section Foldr
/-- Fold a bilinear map along the generators of a term of the clifford algebra, with the rule
given by `foldr Q f hf n (ι Q m * x) = f m (foldr Q f hf n x)`.
For example, `foldr f hf n (r • ι R u + ι R v * ι R w) = r • f u n + f v (f w n)`. -/
def foldr (f : M →ₗ[R] N →ₗ[R] N) (hf : ∀ m x, f m (f m x) = Q m • x) :
N →ₗ[R] CliffordAlgebra Q →ₗ[R] N :=
(CliffordAlgebra.lift Q ⟨f, fun v => LinearMap.ext <| hf v⟩).toLinearMap.flip
#align clifford_algebra.foldr CliffordAlgebra.foldr
@[simp]
theorem foldr_ι (f : M →ₗ[R] N →ₗ[R] N) (hf) (n : N) (m : M) : foldr Q f hf n (ι Q m) = f m n :=
LinearMap.congr_fun (lift_ι_apply _ _ _) n
#align clifford_algebra.foldr_ι CliffordAlgebra.foldr_ι
@[simp]
theorem foldr_algebraMap (f : M →ₗ[R] N →ₗ[R] N) (hf) (n : N) (r : R) :
foldr Q f hf n (algebraMap R _ r) = r • n :=
LinearMap.congr_fun (AlgHom.commutes _ r) n
#align clifford_algebra.foldr_algebra_map CliffordAlgebra.foldr_algebraMap
@[simp]
theorem foldr_one (f : M →ₗ[R] N →ₗ[R] N) (hf) (n : N) : foldr Q f hf n 1 = n :=
LinearMap.congr_fun (AlgHom.map_one _) n
#align clifford_algebra.foldr_one CliffordAlgebra.foldr_one
@[simp]
theorem foldr_mul (f : M →ₗ[R] N →ₗ[R] N) (hf) (n : N) (a b : CliffordAlgebra Q) :
foldr Q f hf n (a * b) = foldr Q f hf (foldr Q f hf n b) a :=
LinearMap.congr_fun (AlgHom.map_mul _ _ _) n
#align clifford_algebra.foldr_mul CliffordAlgebra.foldr_mul
/-- This lemma demonstrates the origin of the `foldr` name. -/
| Mathlib/LinearAlgebra/CliffordAlgebra/Fold.lean | 77 | 81 | theorem foldr_prod_map_ι (l : List M) (f : M →ₗ[R] N →ₗ[R] N) (hf) (n : N) :
foldr Q f hf n (l.map <| ι Q).prod = List.foldr (fun m n => f m n) n l := by |
induction' l with hd tl ih
· rw [List.map_nil, List.prod_nil, List.foldr_nil, foldr_one]
· rw [List.map_cons, List.prod_cons, List.foldr_cons, foldr_mul, foldr_ι, ih]
|
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenny Lau, Yury Kudryashov
-/
import Mathlib.Algebra.Algebra.Hom
import Mathlib.Algebra.Module.Prod
#align_import algebra.algebra.prod from "leanprover-community/mathlib"@"28aa996fc6fb4317f0083c4e6daf79878d81be33"
/-!
# The R-algebra structure on products of R-algebras
The R-algebra structure on `(i : I) → A i` when each `A i` is an R-algebra.
## Main definitions
* `Prod.algebra`
* `AlgHom.fst`
* `AlgHom.snd`
* `AlgHom.prod`
-/
variable {R A B C : Type*}
variable [CommSemiring R]
variable [Semiring A] [Algebra R A] [Semiring B] [Algebra R B] [Semiring C] [Algebra R C]
namespace Prod
variable (R A B)
open Algebra
instance algebra : Algebra R (A × B) :=
{ Prod.instModule,
RingHom.prod (algebraMap R A) (algebraMap R B) with
commutes' := by
rintro r ⟨a, b⟩
dsimp
rw [commutes r a, commutes r b]
smul_def' := by
rintro r ⟨a, b⟩
dsimp
rw [Algebra.smul_def r a, Algebra.smul_def r b] }
#align prod.algebra Prod.algebra
variable {R A B}
@[simp]
theorem algebraMap_apply (r : R) : algebraMap R (A × B) r = (algebraMap R A r, algebraMap R B r) :=
rfl
#align prod.algebra_map_apply Prod.algebraMap_apply
end Prod
namespace AlgHom
variable (R A B)
/-- First projection as `AlgHom`. -/
def fst : A × B →ₐ[R] A :=
{ RingHom.fst A B with commutes' := fun _r => rfl }
#align alg_hom.fst AlgHom.fst
/-- Second projection as `AlgHom`. -/
def snd : A × B →ₐ[R] B :=
{ RingHom.snd A B with commutes' := fun _r => rfl }
#align alg_hom.snd AlgHom.snd
variable {R A B}
/-- The `Pi.prod` of two morphisms is a morphism. -/
@[simps!]
def prod (f : A →ₐ[R] B) (g : A →ₐ[R] C) : A →ₐ[R] B × C :=
{ f.toRingHom.prod g.toRingHom with
commutes' := fun r => by
simp only [toRingHom_eq_coe, RingHom.toFun_eq_coe, RingHom.prod_apply, coe_toRingHom,
commutes, Prod.algebraMap_apply] }
#align alg_hom.prod AlgHom.prod
theorem coe_prod (f : A →ₐ[R] B) (g : A →ₐ[R] C) : ⇑(f.prod g) = Pi.prod f g :=
rfl
#align alg_hom.coe_prod AlgHom.coe_prod
@[simp]
theorem fst_prod (f : A →ₐ[R] B) (g : A →ₐ[R] C) : (fst R B C).comp (prod f g) = f := by ext; rfl
#align alg_hom.fst_prod AlgHom.fst_prod
@[simp]
| Mathlib/Algebra/Algebra/Prod.lean | 91 | 91 | theorem snd_prod (f : A →ₐ[R] B) (g : A →ₐ[R] C) : (snd R B C).comp (prod f g) = g := by | ext; rfl
|
/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro
-/
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Algebra.Order.Group.Int
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Algebra.Ring.Rat
import Mathlib.Data.PNat.Defs
#align_import data.rat.lemmas from "leanprover-community/mathlib"@"550b58538991c8977703fdeb7c9d51a5aa27df11"
/-!
# Further lemmas for the Rational Numbers
-/
namespace Rat
open Rat
theorem num_dvd (a) {b : ℤ} (b0 : b ≠ 0) : (a /. b).num ∣ a := by
cases' e : a /. b with n d h c
rw [Rat.mk'_eq_divInt, divInt_eq_iff b0 (mod_cast h)] at e
refine Int.natAbs_dvd.1 <| Int.dvd_natAbs.1 <| Int.natCast_dvd_natCast.2 <|
c.dvd_of_dvd_mul_right ?_
have := congr_arg Int.natAbs e
simp only [Int.natAbs_mul, Int.natAbs_ofNat] at this; simp [this]
#align rat.num_dvd Rat.num_dvd
theorem den_dvd (a b : ℤ) : ((a /. b).den : ℤ) ∣ b := by
by_cases b0 : b = 0; · simp [b0]
cases' e : a /. b with n d h c
rw [mk'_eq_divInt, divInt_eq_iff b0 (ne_of_gt (Int.natCast_pos.2 (Nat.pos_of_ne_zero h)))] at e
refine Int.dvd_natAbs.1 <| Int.natCast_dvd_natCast.2 <| c.symm.dvd_of_dvd_mul_left ?_
rw [← Int.natAbs_mul, ← Int.natCast_dvd_natCast, Int.dvd_natAbs, ← e]; simp
#align rat.denom_dvd Rat.den_dvd
theorem num_den_mk {q : ℚ} {n d : ℤ} (hd : d ≠ 0) (qdf : q = n /. d) :
∃ c : ℤ, n = c * q.num ∧ d = c * q.den := by
obtain rfl | hn := eq_or_ne n 0
· simp [qdf]
have : q.num * d = n * ↑q.den := by
refine (divInt_eq_iff ?_ hd).mp ?_
· exact Int.natCast_ne_zero.mpr (Rat.den_nz _)
· rwa [num_divInt_den]
have hqdn : q.num ∣ n := by
rw [qdf]
exact Rat.num_dvd _ hd
refine ⟨n / q.num, ?_, ?_⟩
· rw [Int.ediv_mul_cancel hqdn]
· refine Int.eq_mul_div_of_mul_eq_mul_of_dvd_left ?_ hqdn this
rw [qdf]
exact Rat.num_ne_zero.2 ((divInt_ne_zero hd).mpr hn)
#align rat.num_denom_mk Rat.num_den_mk
#noalign rat.mk_pnat_num
#noalign rat.mk_pnat_denom
theorem num_mk (n d : ℤ) : (n /. d).num = d.sign * n / n.gcd d := by
have (m : ℕ) : Int.natAbs (m + 1) = m + 1 := by
rw [← Nat.cast_one, ← Nat.cast_add, Int.natAbs_cast]
rcases d with ((_ | _) | _) <;>
rw [← Int.div_eq_ediv_of_dvd] <;>
simp [divInt, mkRat, Rat.normalize, Nat.succPNat, Int.sign, Int.gcd,
Int.zero_ediv, Int.ofNat_dvd_left, Nat.gcd_dvd_left, this]
#align rat.num_mk Rat.num_mk
theorem den_mk (n d : ℤ) : (n /. d).den = if d = 0 then 1 else d.natAbs / n.gcd d := by
have (m : ℕ) : Int.natAbs (m + 1) = m + 1 := by
rw [← Nat.cast_one, ← Nat.cast_add, Int.natAbs_cast]
rcases d with ((_ | _) | _) <;>
simp [divInt, mkRat, Rat.normalize, Nat.succPNat, Int.sign, Int.gcd,
if_neg (Nat.cast_add_one_ne_zero _), this]
#align rat.denom_mk Rat.den_mk
#noalign rat.mk_pnat_denom_dvd
theorem add_den_dvd (q₁ q₂ : ℚ) : (q₁ + q₂).den ∣ q₁.den * q₂.den := by
rw [add_def, normalize_eq]
apply Nat.div_dvd_of_dvd
apply Nat.gcd_dvd_right
#align rat.add_denom_dvd Rat.add_den_dvd
theorem mul_den_dvd (q₁ q₂ : ℚ) : (q₁ * q₂).den ∣ q₁.den * q₂.den := by
rw [mul_def, normalize_eq]
apply Nat.div_dvd_of_dvd
apply Nat.gcd_dvd_right
#align rat.mul_denom_dvd Rat.mul_den_dvd
theorem mul_num (q₁ q₂ : ℚ) :
(q₁ * q₂).num = q₁.num * q₂.num / Nat.gcd (q₁.num * q₂.num).natAbs (q₁.den * q₂.den) := by
rw [mul_def, normalize_eq]
#align rat.mul_num Rat.mul_num
theorem mul_den (q₁ q₂ : ℚ) :
(q₁ * q₂).den =
q₁.den * q₂.den / Nat.gcd (q₁.num * q₂.num).natAbs (q₁.den * q₂.den) := by
rw [mul_def, normalize_eq]
#align rat.mul_denom Rat.mul_den
| Mathlib/Data/Rat/Lemmas.lean | 104 | 106 | theorem mul_self_num (q : ℚ) : (q * q).num = q.num * q.num := by |
rw [mul_num, Int.natAbs_mul, Nat.Coprime.gcd_eq_one, Int.ofNat_one, Int.ediv_one]
exact (q.reduced.mul_right q.reduced).mul (q.reduced.mul_right q.reduced)
|
/-
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, David Loeffler
-/
import Mathlib.Analysis.Calculus.MeanValue
import Mathlib.Analysis.Convex.Slope
/-!
# Convexity of functions and derivatives
Here we relate convexity of functions `ℝ → ℝ` to properties of their derivatives.
## Main results
* `MonotoneOn.convexOn_of_deriv`, `convexOn_of_deriv2_nonneg` : if the derivative of a function
is increasing or its second derivative is nonnegative, then the original function is convex.
* `ConvexOn.monotoneOn_deriv`: if a function is convex and differentiable, then its derivative is
monotone.
-/
open Metric Set Asymptotics ContinuousLinearMap Filter
open scoped Classical Topology NNReal
/-!
## Monotonicity of `f'` implies convexity of `f`
-/
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, is differentiable on its interior,
and `f'` is monotone on the interior, then `f` is convex on `D`. -/
theorem MonotoneOn.convexOn_of_deriv {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf' : DifferentiableOn ℝ f (interior D))
(hf'_mono : MonotoneOn (deriv f) (interior D)) : ConvexOn ℝ D f :=
convexOn_of_slope_mono_adjacent hD
(by
intro x y z hx hz hxy hyz
-- First we prove some trivial inclusions
have hxzD : Icc x z ⊆ D := hD.ordConnected.out hx hz
have hxyD : Icc x y ⊆ D := (Icc_subset_Icc_right hyz.le).trans hxzD
have hxyD' : Ioo x y ⊆ interior D :=
subset_sUnion_of_mem ⟨isOpen_Ioo, Ioo_subset_Icc_self.trans hxyD⟩
have hyzD : Icc y z ⊆ D := (Icc_subset_Icc_left hxy.le).trans hxzD
have hyzD' : Ioo y z ⊆ interior D :=
subset_sUnion_of_mem ⟨isOpen_Ioo, Ioo_subset_Icc_self.trans hyzD⟩
-- Then we apply MVT to both `[x, y]` and `[y, z]`
obtain ⟨a, ⟨hxa, hay⟩, ha⟩ : ∃ a ∈ Ioo x y, deriv f a = (f y - f x) / (y - x) :=
exists_deriv_eq_slope f hxy (hf.mono hxyD) (hf'.mono hxyD')
obtain ⟨b, ⟨hyb, hbz⟩, hb⟩ : ∃ b ∈ Ioo y z, deriv f b = (f z - f y) / (z - y) :=
exists_deriv_eq_slope f hyz (hf.mono hyzD) (hf'.mono hyzD')
rw [← ha, ← hb]
exact hf'_mono (hxyD' ⟨hxa, hay⟩) (hyzD' ⟨hyb, hbz⟩) (hay.trans hyb).le)
#align monotone_on.convex_on_of_deriv MonotoneOn.convexOn_of_deriv
/-- If a function `f` is continuous on a convex set `D ⊆ ℝ`, is differentiable on its interior,
and `f'` is antitone on the interior, then `f` is concave on `D`. -/
| Mathlib/Analysis/Convex/Deriv.lean | 57 | 62 | theorem AntitoneOn.concaveOn_of_deriv {D : Set ℝ} (hD : Convex ℝ D) {f : ℝ → ℝ}
(hf : ContinuousOn f D) (hf' : DifferentiableOn ℝ f (interior D))
(h_anti : AntitoneOn (deriv f) (interior D)) : ConcaveOn ℝ D f :=
haveI : MonotoneOn (deriv (-f)) (interior D) := by |
simpa only [← deriv.neg] using h_anti.neg
neg_convexOn_iff.mp (this.convexOn_of_deriv hD hf.neg hf'.neg)
|
/-
Copyright (c) 2019 Yury Kudriashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudriashov
-/
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
import Mathlib.Analysis.Convex.Hull
import Mathlib.LinearAlgebra.AffineSpace.Basis
#align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
/-!
# Convex combinations
This file defines convex combinations of points in a vector space.
## Main declarations
* `Finset.centerMass`: Center of mass of a finite family of points.
## Implementation notes
We divide by the sum of the weights in the definition of `Finset.centerMass` because of the way
mathematical arguments go: one doesn't change weights, but merely adds some. This also makes a few
lemmas unconditional on the sum of the weights being `1`.
-/
open Set Function
open scoped Classical
open Pointwise
universe u u'
variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E]
[AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α]
[OrderedSMul R α] {s : Set E}
/-- Center of mass of a finite collection of points with prescribed weights.
Note that we require neither `0 ≤ w i` nor `∑ w = 1`. -/
def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E :=
(∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i
#align finset.center_mass Finset.centerMass
variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E)
open Finset
theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by
simp only [centerMass, sum_empty, smul_zero]
#align finset.center_mass_empty Finset.centerMass_empty
theorem Finset.centerMass_pair (hne : i ≠ j) :
({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by
simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul]
#align finset.center_mass_pair Finset.centerMass_pair
variable {w}
theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) :
(insert i t).centerMass w z =
(w i / (w i + ∑ j ∈ t, w j)) • z i +
((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by
simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul]
congr 2
rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div]
#align finset.center_mass_insert Finset.centerMass_insert
theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by
rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul]
#align finset.center_mass_singleton Finset.centerMass_singleton
@[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by
simp [centerMass, inv_neg]
lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R]
[IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) :
t.centerMass (c • w) z = t.centerMass w z := by
simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc]
theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) :
t.centerMass w z = ∑ i ∈ t, w i • z i := by
simp only [Finset.centerMass, hw, inv_one, one_smul]
#align finset.center_mass_eq_of_sum_1 Finset.centerMass_eq_of_sum_1
theorem Finset.centerMass_smul : (t.centerMass w fun i => c • z i) = c • t.centerMass w z := by
simp only [Finset.centerMass, Finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc]
#align finset.center_mass_smul Finset.centerMass_smul
/-- A convex combination of two centers of mass is a center of mass as well. This version
deals with two different index types. -/
| Mathlib/Analysis/Convex/Combination.lean | 93 | 100 | theorem Finset.centerMass_segment' (s : Finset ι) (t : Finset ι') (ws : ι → R) (zs : ι → E)
(wt : ι' → R) (zt : ι' → E) (hws : ∑ i ∈ s, ws i = 1) (hwt : ∑ i ∈ t, wt i = 1) (a b : R)
(hab : a + b = 1) : a • s.centerMass ws zs + b • t.centerMass wt zt = (s.disjSum t).centerMass
(Sum.elim (fun i => a * ws i) fun j => b * wt j) (Sum.elim zs zt) := by |
rw [s.centerMass_eq_of_sum_1 _ hws, t.centerMass_eq_of_sum_1 _ hwt, smul_sum, smul_sum, ←
Finset.sum_sum_elim, Finset.centerMass_eq_of_sum_1]
· congr with ⟨⟩ <;> simp only [Sum.elim_inl, Sum.elim_inr, mul_smul]
· rw [sum_sum_elim, ← mul_sum, ← mul_sum, hws, hwt, mul_one, mul_one, hab]
|
/-
Copyright (c) 2020 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import Mathlib.Algebra.Group.Defs
#align_import algebra.invertible from "leanprover-community/mathlib"@"722b3b152ddd5e0cf21c0a29787c76596cb6b422"
/-!
# Invertible elements
This file defines a typeclass `Invertible a` for elements `a` with a two-sided
multiplicative inverse.
The intent of the typeclass is to provide a way to write e.g. `⅟2` in a ring
like `ℤ[1/2]` where some inverses exist but there is no general `⁻¹` operator;
or to specify that a field has characteristic `≠ 2`.
It is the `Type`-valued analogue to the `Prop`-valued `IsUnit`.
For constructions of the invertible element given a characteristic, see
`Algebra/CharP/Invertible` and other lemmas in that file.
## Notation
* `⅟a` is `Invertible.invOf a`, the inverse of `a`
## Implementation notes
The `Invertible` class lives in `Type`, not `Prop`, to make computation easier.
If multiplication is associative, `Invertible` is a subsingleton anyway.
The `simp` normal form tries to normalize `⅟a` to `a ⁻¹`. Otherwise, it pushes
`⅟` inside the expression as much as possible.
Since `Invertible a` is not a `Prop` (but it is a `Subsingleton`), we have to be careful about
coherence issues: we should avoid having multiple non-defeq instances for `Invertible a` in the
same context. This file plays it safe and uses `def` rather than `instance` for most definitions,
users can choose which instances to use at the point of use.
For example, here's how you can use an `Invertible 1` instance:
```lean
variable {α : Type*} [Monoid α]
def something_that_needs_inverses (x : α) [Invertible x] := sorry
section
attribute [local instance] invertibleOne
def something_one := something_that_needs_inverses 1
end
```
### Typeclass search vs. unification for `simp` lemmas
Note that since typeclass search searches the local context first, an instance argument like
`[Invertible a]` might sometimes be filled by a different term than the one we'd find by
unification (i.e., the one that's used as an implicit argument to `⅟`).
This can cause issues with `simp`. Therefore, some lemmas are duplicated, with the `@[simp]`
versions using unification and the user-facing ones using typeclass search.
Since unification can make backwards rewriting (e.g. `rw [← mylemma]`) impractical, we still want
the instance-argument versions; therefore the user-facing versions retain the instance arguments
and the original lemma name, whereas the `@[simp]`/unification ones acquire a `'` at the end of
their name.
We modify this file according to the above pattern only as needed; therefore, most `@[simp]` lemmas
here are not part of such a duplicate pair. This is not (yet) intended as a permanent solution.
See Zulip: [https://leanprover.zulipchat.com/#narrow/stream/287929-mathlib4/topic/Invertible.201.20simps/near/320558233]
## Tags
invertible, inverse element, invOf, a half, one half, a third, one third, ½, ⅓
-/
assert_not_exists MonoidWithZero
assert_not_exists DenselyOrdered
universe u
variable {α : Type u}
/-- `Invertible a` gives a two-sided multiplicative inverse of `a`. -/
class Invertible [Mul α] [One α] (a : α) : Type u where
/-- The inverse of an `Invertible` element -/
invOf : α
/-- `invOf a` is a left inverse of `a` -/
invOf_mul_self : invOf * a = 1
/-- `invOf a` is a right inverse of `a` -/
mul_invOf_self : a * invOf = 1
#align invertible Invertible
/-- The inverse of an `Invertible` element -/
prefix:max
"⅟" =>-- This notation has the same precedence as `Inv.inv`.
Invertible.invOf
@[simp]
theorem invOf_mul_self' [Mul α] [One α] (a : α) {_ : Invertible a} : ⅟ a * a = 1 :=
Invertible.invOf_mul_self
theorem invOf_mul_self [Mul α] [One α] (a : α) [Invertible a] : ⅟ a * a = 1 :=
Invertible.invOf_mul_self
#align inv_of_mul_self invOf_mul_self
@[simp]
theorem mul_invOf_self' [Mul α] [One α] (a : α) {_ : Invertible a} : a * ⅟ a = 1 :=
Invertible.mul_invOf_self
theorem mul_invOf_self [Mul α] [One α] (a : α) [Invertible a] : a * ⅟ a = 1 :=
Invertible.mul_invOf_self
#align mul_inv_of_self mul_invOf_self
@[simp]
theorem invOf_mul_self_assoc' [Monoid α] (a b : α) {_ : Invertible a} : ⅟ a * (a * b) = b := by
rw [← mul_assoc, invOf_mul_self, one_mul]
theorem invOf_mul_self_assoc [Monoid α] (a b : α) [Invertible a] : ⅟ a * (a * b) = b := by
rw [← mul_assoc, invOf_mul_self, one_mul]
#align inv_of_mul_self_assoc invOf_mul_self_assoc
@[simp]
theorem mul_invOf_self_assoc' [Monoid α] (a b : α) {_ : Invertible a} : a * (⅟ a * b) = b := by
rw [← mul_assoc, mul_invOf_self, one_mul]
theorem mul_invOf_self_assoc [Monoid α] (a b : α) [Invertible a] : a * (⅟ a * b) = b := by
rw [← mul_assoc, mul_invOf_self, one_mul]
#align mul_inv_of_self_assoc mul_invOf_self_assoc
@[simp]
theorem mul_invOf_mul_self_cancel' [Monoid α] (a b : α) {_ : Invertible b} : a * ⅟ b * b = a := by
simp [mul_assoc]
theorem mul_invOf_mul_self_cancel [Monoid α] (a b : α) [Invertible b] : a * ⅟ b * b = a := by
simp [mul_assoc]
#align mul_inv_of_mul_self_cancel mul_invOf_mul_self_cancel
@[simp]
theorem mul_mul_invOf_self_cancel' [Monoid α] (a b : α) {_ : Invertible b} : a * b * ⅟ b = a := by
simp [mul_assoc]
| Mathlib/Algebra/Group/Invertible/Defs.lean | 144 | 145 | theorem mul_mul_invOf_self_cancel [Monoid α] (a b : α) [Invertible b] : a * b * ⅟ b = a := by |
simp [mul_assoc]
|
/-
Copyright (c) 2023 David Loeffler. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: David Loeffler
-/
import Mathlib.Analysis.Convolution
import Mathlib.Analysis.SpecialFunctions.Trigonometric.EulerSineProd
import Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup
import Mathlib.Analysis.Analytic.IsolatedZeros
import Mathlib.Analysis.Complex.CauchyIntegral
#align_import analysis.special_functions.gamma.beta from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090"
/-!
# The Beta function, and further properties of the Gamma function
In this file we define the Beta integral, relate Beta and Gamma functions, and prove some
refined properties of the Gamma function using these relations.
## Results on the Beta function
* `Complex.betaIntegral`: the Beta function `Β(u, v)`, where `u`, `v` are complex with positive
real part.
* `Complex.Gamma_mul_Gamma_eq_betaIntegral`: the formula
`Gamma u * Gamma v = Gamma (u + v) * betaIntegral u v`.
## Results on the Gamma function
* `Complex.Gamma_ne_zero`: for all `s : ℂ` with `s ∉ {-n : n ∈ ℕ}` we have `Γ s ≠ 0`.
* `Complex.GammaSeq_tendsto_Gamma`: for all `s`, the limit as `n → ∞` of the sequence
`n ↦ n ^ s * n! / (s * (s + 1) * ... * (s + n))` is `Γ(s)`.
* `Complex.Gamma_mul_Gamma_one_sub`: Euler's reflection formula
`Gamma s * Gamma (1 - s) = π / sin π s`.
* `Complex.differentiable_one_div_Gamma`: the function `1 / Γ(s)` is differentiable everywhere.
* `Complex.Gamma_mul_Gamma_add_half`: Legendre's duplication formula
`Gamma s * Gamma (s + 1 / 2) = Gamma (2 * s) * 2 ^ (1 - 2 * s) * √π`.
* `Real.Gamma_ne_zero`, `Real.GammaSeq_tendsto_Gamma`,
`Real.Gamma_mul_Gamma_one_sub`, `Real.Gamma_mul_Gamma_add_half`: real versions of the above.
-/
noncomputable section
set_option linter.uppercaseLean3 false
open Filter intervalIntegral Set Real MeasureTheory
open scoped Nat Topology Real
section BetaIntegral
/-! ## The Beta function -/
namespace Complex
/-- The Beta function `Β (u, v)`, defined as `∫ x:ℝ in 0..1, x ^ (u - 1) * (1 - x) ^ (v - 1)`. -/
noncomputable def betaIntegral (u v : ℂ) : ℂ :=
∫ x : ℝ in (0)..1, (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1)
#align complex.beta_integral Complex.betaIntegral
/-- Auxiliary lemma for `betaIntegral_convergent`, showing convergence at the left endpoint. -/
theorem betaIntegral_convergent_left {u : ℂ} (hu : 0 < re u) (v : ℂ) :
IntervalIntegrable (fun x =>
(x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 (1 / 2) := by
apply IntervalIntegrable.mul_continuousOn
· refine intervalIntegral.intervalIntegrable_cpow' ?_
rwa [sub_re, one_re, ← zero_sub, sub_lt_sub_iff_right]
· apply ContinuousAt.continuousOn
intro x hx
rw [uIcc_of_le (by positivity : (0 : ℝ) ≤ 1 / 2)] at hx
apply ContinuousAt.cpow
· exact (continuous_const.sub continuous_ofReal).continuousAt
· exact continuousAt_const
· norm_cast
exact ofReal_mem_slitPlane.2 <| by linarith only [hx.2]
#align complex.beta_integral_convergent_left Complex.betaIntegral_convergent_left
/-- The Beta integral is convergent for all `u, v` of positive real part. -/
theorem betaIntegral_convergent {u v : ℂ} (hu : 0 < re u) (hv : 0 < re v) :
IntervalIntegrable (fun x =>
(x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1) : ℝ → ℂ) volume 0 1 := by
refine (betaIntegral_convergent_left hu v).trans ?_
rw [IntervalIntegrable.iff_comp_neg]
convert ((betaIntegral_convergent_left hv u).comp_add_right 1).symm using 1
· ext1 x
conv_lhs => rw [mul_comm]
congr 2 <;> · push_cast; ring
· norm_num
· norm_num
#align complex.beta_integral_convergent Complex.betaIntegral_convergent
theorem betaIntegral_symm (u v : ℂ) : betaIntegral v u = betaIntegral u v := by
rw [betaIntegral, betaIntegral]
have := intervalIntegral.integral_comp_mul_add (a := 0) (b := 1) (c := -1)
(fun x : ℝ => (x : ℂ) ^ (u - 1) * (1 - (x : ℂ)) ^ (v - 1)) neg_one_lt_zero.ne 1
rw [inv_neg, inv_one, neg_one_smul, ← intervalIntegral.integral_symm] at this
simp? at this says
simp only [neg_mul, one_mul, ofReal_add, ofReal_neg, ofReal_one, sub_add_cancel_right, neg_neg,
mul_one, add_left_neg, mul_zero, zero_add] at this
conv_lhs at this => arg 1; intro x; rw [add_comm, ← sub_eq_add_neg, mul_comm]
exact this
#align complex.beta_integral_symm Complex.betaIntegral_symm
| Mathlib/Analysis/SpecialFunctions/Gamma/Beta.lean | 105 | 111 | theorem betaIntegral_eval_one_right {u : ℂ} (hu : 0 < re u) : betaIntegral u 1 = 1 / u := by |
simp_rw [betaIntegral, sub_self, cpow_zero, mul_one]
rw [integral_cpow (Or.inl _)]
· rw [ofReal_zero, ofReal_one, one_cpow, zero_cpow, sub_zero, sub_add_cancel]
rw [sub_add_cancel]
contrapose! hu; rw [hu, zero_re]
· rwa [sub_re, one_re, ← sub_pos, sub_neg_eq_add, sub_add_cancel]
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Patrick Stevens
-/
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.BigOperators.NatAntidiagonal
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Ring
#align_import data.nat.choose.sum from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
/-!
# Sums of binomial coefficients
This file includes variants of the binomial theorem and other results on sums of binomial
coefficients. Theorems whose proofs depend on such sums may also go in this file for import
reasons.
-/
open Nat
open Finset
variable {R : Type*}
namespace Commute
variable [Semiring R] {x y : R}
/-- A version of the **binomial theorem** for commuting elements in noncommutative semirings. -/
theorem add_pow (h : Commute x y) (n : ℕ) :
(x + y) ^ n = ∑ m ∈ range (n + 1), x ^ m * y ^ (n - m) * choose n m := by
let t : ℕ → ℕ → R := fun n m ↦ x ^ m * y ^ (n - m) * choose n m
change (x + y) ^ n = ∑ m ∈ range (n + 1), t n m
have h_first : ∀ n, t n 0 = y ^ n := fun n ↦ by
simp only [t, choose_zero_right, _root_.pow_zero, Nat.cast_one, mul_one, one_mul, tsub_zero]
have h_last : ∀ n, t n n.succ = 0 := fun n ↦ by
simp only [t, ge_iff_le, choose_succ_self, cast_zero, mul_zero]
have h_middle :
∀ n i : ℕ, i ∈ range n.succ → (t n.succ ∘ Nat.succ) i =
x * t n i + y * t n i.succ := by
intro n i h_mem
have h_le : i ≤ n := Nat.le_of_lt_succ (mem_range.mp h_mem)
dsimp only [t]
rw [Function.comp_apply, choose_succ_succ, Nat.cast_add, mul_add]
congr 1
· rw [pow_succ' x, succ_sub_succ, mul_assoc, mul_assoc, mul_assoc]
· rw [← mul_assoc y, ← mul_assoc y, (h.symm.pow_right i.succ).eq]
by_cases h_eq : i = n
· rw [h_eq, choose_succ_self, Nat.cast_zero, mul_zero, mul_zero]
· rw [succ_sub (lt_of_le_of_ne h_le h_eq)]
rw [pow_succ' y, mul_assoc, mul_assoc, mul_assoc, mul_assoc]
induction' n with n ih
· rw [_root_.pow_zero, sum_range_succ, range_zero, sum_empty, zero_add]
dsimp only [t]
rw [_root_.pow_zero, _root_.pow_zero, choose_self, Nat.cast_one, mul_one, mul_one]
· rw [sum_range_succ', h_first]
erw [sum_congr rfl (h_middle n), sum_add_distrib, add_assoc]
rw [pow_succ' (x + y), ih, add_mul, mul_sum, mul_sum]
congr 1
rw [sum_range_succ', sum_range_succ, h_first, h_last, mul_zero, add_zero, _root_.pow_succ']
#align commute.add_pow Commute.add_pow
/-- A version of `Commute.add_pow` that avoids ℕ-subtraction by summing over the antidiagonal and
also with the binomial coefficient applied via scalar action of ℕ. -/
theorem add_pow' (h : Commute x y) (n : ℕ) :
(x + y) ^ n = ∑ m ∈ antidiagonal n, choose n m.fst • (x ^ m.fst * y ^ m.snd) := by
simp_rw [Finset.Nat.sum_antidiagonal_eq_sum_range_succ fun m p ↦ choose n m • (x ^ m * y ^ p),
_root_.nsmul_eq_mul, cast_comm, h.add_pow]
#align commute.add_pow' Commute.add_pow'
end Commute
/-- The **binomial theorem** -/
theorem add_pow [CommSemiring R] (x y : R) (n : ℕ) :
(x + y) ^ n = ∑ m ∈ range (n + 1), x ^ m * y ^ (n - m) * choose n m :=
(Commute.all x y).add_pow n
#align add_pow add_pow
namespace Nat
/-- The sum of entries in a row of Pascal's triangle -/
| Mathlib/Data/Nat/Choose/Sum.lean | 89 | 91 | theorem sum_range_choose (n : ℕ) : (∑ m ∈ range (n + 1), choose n m) = 2 ^ n := by |
have := (add_pow 1 1 n).symm
simpa [one_add_one_eq_two] using this
|
/-
Copyright (c) 2023 Felix Weilacher. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Felix Weilacher
-/
import Mathlib.Topology.MetricSpace.PiNat
#align_import topology.metric_space.cantor_scheme from "leanprover-community/mathlib"@"49b7f94aab3a3bdca1f9f34c5d818afb253b3993"
/-!
# (Topological) Schemes and their induced maps
In topology, and especially descriptive set theory, one often constructs functions `(ℕ → β) → α`,
where α is some topological space and β is a discrete space, as an appropriate limit of some map
`List β → Set α`. We call the latter type of map a "`β`-scheme on `α`".
This file develops the basic, abstract theory of these schemes and the functions they induce.
## Main Definitions
* `CantorScheme.inducedMap A` : The aforementioned "limit" of a scheme `A : List β → Set α`.
This is a partial function from `ℕ → β` to `a`,
implemented here as an object of type `Σ s : Set (ℕ → β), s → α`.
That is, `(inducedMap A).1` is the domain and `(inducedMap A).2` is the function.
## Implementation Notes
We consider end-appending to be the fundamental way to build lists (say on `β`) inductively,
as this interacts better with the topology on `ℕ → β`.
As a result, functions like `List.get?` or `Stream'.take` do not have their intended meaning
in this file. See instead `PiNat.res`.
## References
* [kechris1995] (Chapters 6-7)
## Tags
scheme, cantor scheme, lusin scheme, approximation.
-/
namespace CantorScheme
open List Function Filter Set PiNat
open scoped Classical
open Topology
variable {β α : Type*} (A : List β → Set α)
/-- From a `β`-scheme on `α` `A`, we define a partial function from `(ℕ → β)` to `α`
which sends each infinite sequence `x` to an element of the intersection along the
branch corresponding to `x`, if it exists.
We call this the map induced by the scheme. -/
noncomputable def inducedMap : Σs : Set (ℕ → β), s → α :=
⟨fun x => Set.Nonempty (⋂ n : ℕ, A (res x n)), fun x => x.property.some⟩
#align cantor_scheme.induced_map CantorScheme.inducedMap
section Topology
/-- A scheme is antitone if each set contains its children. -/
protected def Antitone : Prop :=
∀ l : List β, ∀ a : β, A (a :: l) ⊆ A l
#align cantor_scheme.antitone CantorScheme.Antitone
/-- A useful strengthening of being antitone is to require that each set contains
the closure of each of its children. -/
def ClosureAntitone [TopologicalSpace α] : Prop :=
∀ l : List β, ∀ a : β, closure (A (a :: l)) ⊆ A l
#align cantor_scheme.closure_antitone CantorScheme.ClosureAntitone
/-- A scheme is disjoint if the children of each set of pairwise disjoint. -/
protected def Disjoint : Prop :=
∀ l : List β, Pairwise fun a b => Disjoint (A (a :: l)) (A (b :: l))
#align cantor_scheme.disjoint CantorScheme.Disjoint
variable {A}
/-- If `x` is in the domain of the induced map of a scheme `A`,
its image under this map is in each set along the corresponding branch. -/
theorem map_mem (x : (inducedMap A).1) (n : ℕ) : (inducedMap A).2 x ∈ A (res x n) := by
have := x.property.some_mem
rw [mem_iInter] at this
exact this n
#align cantor_scheme.map_mem CantorScheme.map_mem
protected theorem ClosureAntitone.antitone [TopologicalSpace α] (hA : ClosureAntitone A) :
CantorScheme.Antitone A := fun l a => subset_closure.trans (hA l a)
#align cantor_scheme.closure_antitone.antitone CantorScheme.ClosureAntitone.antitone
protected theorem Antitone.closureAntitone [TopologicalSpace α] (hanti : CantorScheme.Antitone A)
(hclosed : ∀ l, IsClosed (A l)) : ClosureAntitone A := fun _ _ =>
(hclosed _).closure_eq.subset.trans (hanti _ _)
#align cantor_scheme.antitone.closure_antitone CantorScheme.Antitone.closureAntitone
/-- A scheme where the children of each set are pairwise disjoint induces an injective map. -/
theorem Disjoint.map_injective (hA : CantorScheme.Disjoint A) : Injective (inducedMap A).2 := by
rintro ⟨x, hx⟩ ⟨y, hy⟩ hxy
refine Subtype.coe_injective (res_injective ?_)
dsimp
ext n : 1
induction' n with n ih; · simp
simp only [res_succ, cons.injEq]
refine ⟨?_, ih⟩
contrapose hA
simp only [CantorScheme.Disjoint, _root_.Pairwise, Ne, not_forall, exists_prop]
refine ⟨res x n, _, _, hA, ?_⟩
rw [not_disjoint_iff]
refine ⟨(inducedMap A).2 ⟨x, hx⟩, ?_, ?_⟩
· rw [← res_succ]
apply map_mem
rw [hxy, ih, ← res_succ]
apply map_mem
#align cantor_scheme.disjoint.map_injective CantorScheme.Disjoint.map_injective
end Topology
section Metric
variable [PseudoMetricSpace α]
/-- A scheme on a metric space has vanishing diameter if diameter approaches 0 along each branch. -/
def VanishingDiam : Prop :=
∀ x : ℕ → β, Tendsto (fun n : ℕ => EMetric.diam (A (res x n))) atTop (𝓝 0)
#align cantor_scheme.vanishing_diam CantorScheme.VanishingDiam
variable {A}
| Mathlib/Topology/MetricSpace/CantorScheme.lean | 131 | 144 | theorem VanishingDiam.dist_lt (hA : VanishingDiam A) (ε : ℝ) (ε_pos : 0 < ε) (x : ℕ → β) :
∃ n : ℕ, ∀ (y) (_ : y ∈ A (res x n)) (z) (_ : z ∈ A (res x n)), dist y z < ε := by |
specialize hA x
rw [ENNReal.tendsto_atTop_zero] at hA
cases' hA (ENNReal.ofReal (ε / 2)) (by
simp only [gt_iff_lt, ENNReal.ofReal_pos]
linarith) with n hn
use n
intro y hy z hz
rw [← ENNReal.ofReal_lt_ofReal_iff ε_pos, ← edist_dist]
apply lt_of_le_of_lt (EMetric.edist_le_diam_of_mem hy hz)
apply lt_of_le_of_lt (hn _ (le_refl _))
rw [ENNReal.ofReal_lt_ofReal_iff ε_pos]
linarith
|
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.Algebra.Algebra.Subalgebra.Basic
import Mathlib.Data.Set.UnionLift
#align_import algebra.algebra.subalgebra.basic from "leanprover-community/mathlib"@"b915e9392ecb2a861e1e766f0e1df6ac481188ca"
/-!
# Subalgebras and directed Unions of sets
## Main results
* `Subalgebra.coe_iSup_of_directed`: a directed supremum consists of the union of the algebras
* `Subalgebra.iSupLift`: define an algebra homomorphism on a directed supremum of subalgebras by
defining it on each subalgebra, and proving that it agrees on the intersection of subalgebras.
-/
namespace Subalgebra
open Algebra
variable {R A B : Type*} [CommSemiring R] [Semiring A] [Algebra R A] [Semiring B] [Algebra R B]
variable (S : Subalgebra R A)
variable {ι : Type*} [Nonempty ι] {K : ι → Subalgebra R A} (dir : Directed (· ≤ ·) K)
theorem coe_iSup_of_directed : ↑(iSup K) = ⋃ i, (K i : Set A) :=
let s : Subalgebra R A :=
{ __ := Subsemiring.copy _ _ (Subsemiring.coe_iSup_of_directed dir).symm
algebraMap_mem' := fun _ ↦ Set.mem_iUnion.2
⟨Classical.arbitrary ι, Subalgebra.algebraMap_mem _ _⟩ }
have : iSup K = s := le_antisymm
(iSup_le fun i ↦ le_iSup (fun i ↦ (K i : Set A)) i) (Set.iUnion_subset fun _ ↦ le_iSup K _)
this.symm ▸ rfl
#align subalgebra.coe_supr_of_directed Subalgebra.coe_iSup_of_directed
variable (K)
variable (f : ∀ i, K i →ₐ[R] B) (hf : ∀ (i j : ι) (h : K i ≤ K j), f i = (f j).comp (inclusion h))
(T : Subalgebra R A) (hT : T = iSup K)
-- Porting note (#11215): TODO: turn `hT` into an assumption `T ≤ iSup K`.
-- That's what `Set.iUnionLift` needs
-- Porting note: the proofs of `map_{zero,one,add,mul}` got a bit uglier, probably unification trbls
/-- Define an algebra homomorphism on a directed supremum of subalgebras by defining
it on each subalgebra, and proving that it agrees on the intersection of subalgebras. -/
noncomputable def iSupLift : ↥T →ₐ[R] B :=
{ toFun := Set.iUnionLift (fun i => ↑(K i)) (fun i x => f i x)
(fun i j x hxi hxj => by
let ⟨k, hik, hjk⟩ := dir i j
dsimp
rw [hf i k hik, hf j k hjk]
rfl)
T (by rw [hT, coe_iSup_of_directed dir])
map_one' := by apply Set.iUnionLift_const _ (fun _ => 1) <;> simp
map_zero' := by dsimp; apply Set.iUnionLift_const _ (fun _ => 0) <;> simp
map_mul' := by
subst hT; dsimp
apply Set.iUnionLift_binary (coe_iSup_of_directed dir) dir _ (fun _ => (· * ·))
on_goal 3 => rw [coe_iSup_of_directed dir]
all_goals simp
map_add' := by
subst hT; dsimp
apply Set.iUnionLift_binary (coe_iSup_of_directed dir) dir _ (fun _ => (· + ·))
on_goal 3 => rw [coe_iSup_of_directed dir]
all_goals simp
commutes' := fun r => by
dsimp
apply Set.iUnionLift_const _ (fun _ => algebraMap R _ r) <;> simp }
#align subalgebra.supr_lift Subalgebra.iSupLift
variable {K dir f hf T hT}
@[simp]
theorem iSupLift_inclusion {i : ι} (x : K i) (h : K i ≤ T) :
iSupLift K dir f hf T hT (inclusion h x) = f i x := by
dsimp [iSupLift, inclusion]
rw [Set.iUnionLift_inclusion]
#align subalgebra.supr_lift_inclusion Subalgebra.iSupLift_inclusion
@[simp]
theorem iSupLift_comp_inclusion {i : ι} (h : K i ≤ T) :
(iSupLift K dir f hf T hT).comp (inclusion h) = f i := by ext; simp
#align subalgebra.supr_lift_comp_inclusion Subalgebra.iSupLift_comp_inclusion
@[simp]
| Mathlib/Algebra/Algebra/Subalgebra/Directed.lean | 90 | 93 | theorem iSupLift_mk {i : ι} (x : K i) (hx : (x : A) ∈ T) :
iSupLift K dir f hf T hT ⟨x, hx⟩ = f i x := by |
dsimp [iSupLift, inclusion]
rw [Set.iUnionLift_mk]
|
/-
Copyright (c) 2020 Adam Topaz. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Adam Topaz
-/
import Mathlib.CategoryTheory.Monad.Types
import Mathlib.CategoryTheory.Monad.Limits
import Mathlib.CategoryTheory.Equivalence
import Mathlib.Topology.Category.CompHaus.Basic
import Mathlib.Topology.Category.Profinite.Basic
import Mathlib.Data.Set.Constructions
#align_import topology.category.Compactum from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
/-!
# Compacta and Compact Hausdorff Spaces
Recall that, given a monad `M` on `Type*`, an *algebra* for `M` consists of the following data:
- A type `X : Type*`
- A "structure" map `M X → X`.
This data must also satisfy a distributivity and unit axiom, and algebras for `M` form a category
in an evident way.
See the file `CategoryTheory.Monad.Algebra` for a general version, as well as the following link.
https://ncatlab.org/nlab/show/monad
This file proves the equivalence between the category of *compact Hausdorff topological spaces*
and the category of algebras for the *ultrafilter monad*.
## Notation:
Here are the main objects introduced in this file.
- `Compactum` is the type of compacta, which we define as algebras for the ultrafilter monad.
- `compactumToCompHaus` is the functor `Compactum ⥤ CompHaus`. Here `CompHaus` is the usual
category of compact Hausdorff spaces.
- `compactumToCompHaus.isEquivalence` is a term of type `IsEquivalence compactumToCompHaus`.
The proof of this equivalence is a bit technical. But the idea is quite simply that the structure
map `Ultrafilter X → X` for an algebra `X` of the ultrafilter monad should be considered as the map
sending an ultrafilter to its limit in `X`. The topology on `X` is then defined by mimicking the
characterization of open sets in terms of ultrafilters.
Any `X : Compactum` is endowed with a coercion to `Type*`, as well as the following instances:
- `TopologicalSpace X`.
- `CompactSpace X`.
- `T2Space X`.
Any morphism `f : X ⟶ Y` of is endowed with a coercion to a function `X → Y`, which is shown to
be continuous in `continuous_of_hom`.
The function `Compactum.ofTopologicalSpace` can be used to construct a `Compactum` from a
topological space which satisfies `CompactSpace` and `T2Space`.
We also add wrappers around structures which already exist. Here are the main ones, all in the
`Compactum` namespace:
- `forget : Compactum ⥤ Type*` is the forgetful functor, which induces a `ConcreteCategory`
instance for `Compactum`.
- `free : Type* ⥤ Compactum` is the left adjoint to `forget`, and the adjunction is in `adj`.
- `str : Ultrafilter X → X` is the structure map for `X : Compactum`.
The notation `X.str` is preferred.
- `join : Ultrafilter (Ultrafilter X) → Ultrafilter X` is the monadic join for `X : Compactum`.
Again, the notation `X.join` is preferred.
- `incl : X → Ultrafilter X` is the unit for `X : Compactum`. The notation `X.incl` is preferred.
## References
- E. Manes, Algebraic Theories, Graduate Texts in Mathematics 26, Springer-Verlag, 1976.
- https://ncatlab.org/nlab/show/ultrafilter
-/
-- Porting note: "Compactum" is already upper case
set_option linter.uppercaseLean3 false
universe u
open CategoryTheory Filter Ultrafilter TopologicalSpace CategoryTheory.Limits FiniteInter
open scoped Classical
open Topology
local notation "β" => ofTypeMonad Ultrafilter
/-- The type `Compactum` of Compacta, defined as algebras for the ultrafilter monad. -/
def Compactum :=
Monad.Algebra β deriving Category, Inhabited
#align Compactum Compactum
namespace Compactum
/-- The forgetful functor to Type* -/
def forget : Compactum ⥤ Type* :=
Monad.forget _ --deriving CreatesLimits, Faithful
-- Porting note: deriving fails, adding manually. Note `CreatesLimits` now noncomputable
#align Compactum.forget Compactum.forget
instance : forget.Faithful :=
show (Monad.forget _).Faithful from inferInstance
noncomputable instance : CreatesLimits forget :=
show CreatesLimits <| Monad.forget _ from inferInstance
/-- The "free" Compactum functor. -/
def free : Type* ⥤ Compactum :=
Monad.free _
#align Compactum.free Compactum.free
/-- The adjunction between `free` and `forget`. -/
def adj : free ⊣ forget :=
Monad.adj _
#align Compactum.adj Compactum.adj
-- Basic instances
instance : ConcreteCategory Compactum where forget := forget
-- Porting note: changed from forget to X.A
instance : CoeSort Compactum Type* :=
⟨fun X => X.A⟩
instance {X Y : Compactum} : CoeFun (X ⟶ Y) fun _ => X → Y :=
⟨fun f => f.f⟩
instance : HasLimits Compactum :=
hasLimits_of_hasLimits_createsLimits forget
/-- The structure map for a compactum, essentially sending an ultrafilter to its limit. -/
def str (X : Compactum) : Ultrafilter X → X :=
X.a
#align Compactum.str Compactum.str
/-- The monadic join. -/
def join (X : Compactum) : Ultrafilter (Ultrafilter X) → Ultrafilter X :=
(β ).μ.app _
#align Compactum.join Compactum.join
/-- The inclusion of `X` into `Ultrafilter X`. -/
def incl (X : Compactum) : X → Ultrafilter X :=
(β ).η.app _
#align Compactum.incl Compactum.incl
@[simp]
theorem str_incl (X : Compactum) (x : X) : X.str (X.incl x) = x := by
change ((β ).η.app _ ≫ X.a) _ = _
rw [Monad.Algebra.unit]
rfl
#align Compactum.str_incl Compactum.str_incl
@[simp]
| Mathlib/Topology/Category/Compactum.lean | 150 | 154 | theorem str_hom_commute (X Y : Compactum) (f : X ⟶ Y) (xs : Ultrafilter X) :
f (X.str xs) = Y.str (map f xs) := by |
change (X.a ≫ f.f) _ = _
rw [← f.h]
rfl
|
/-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.Analysis.RCLike.Basic
import Mathlib.Analysis.NormedSpace.OperatorNorm.Basic
import Mathlib.Analysis.NormedSpace.Pointwise
#align_import analysis.normed_space.is_R_or_C from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b"
/-!
# Normed spaces over R or C
This file is about results on normed spaces over the fields `ℝ` and `ℂ`.
## Main definitions
None.
## Main theorems
* `ContinuousLinearMap.opNorm_bound_of_ball_bound`: A bound on the norms of values of a linear
map in a ball yields a bound on the operator norm.
## Notes
This file exists mainly to avoid importing `RCLike` in the main normed space theory files.
-/
open Metric
variable {𝕜 : Type*} [RCLike 𝕜] {E : Type*} [NormedAddCommGroup E]
theorem RCLike.norm_coe_norm {z : E} : ‖(‖z‖ : 𝕜)‖ = ‖z‖ := by simp
#align is_R_or_C.norm_coe_norm RCLike.norm_coe_norm
variable [NormedSpace 𝕜 E]
/-- Lemma to normalize a vector in a normed space `E` over either `ℂ` or `ℝ` to unit length. -/
@[simp]
theorem norm_smul_inv_norm {x : E} (hx : x ≠ 0) : ‖(‖x‖⁻¹ : 𝕜) • x‖ = 1 := by
have : ‖x‖ ≠ 0 := by simp [hx]
field_simp [norm_smul]
#align norm_smul_inv_norm norm_smul_inv_norm
/-- Lemma to normalize a vector in a normed space `E` over either `ℂ` or `ℝ` to length `r`. -/
theorem norm_smul_inv_norm' {r : ℝ} (r_nonneg : 0 ≤ r) {x : E} (hx : x ≠ 0) :
‖((r : 𝕜) * (‖x‖ : 𝕜)⁻¹) • x‖ = r := by
have : ‖x‖ ≠ 0 := by simp [hx]
field_simp [norm_smul, r_nonneg, rclike_simps]
#align norm_smul_inv_norm' norm_smul_inv_norm'
| Mathlib/Analysis/NormedSpace/RCLike.lean | 55 | 75 | theorem LinearMap.bound_of_sphere_bound {r : ℝ} (r_pos : 0 < r) (c : ℝ) (f : E →ₗ[𝕜] 𝕜)
(h : ∀ z ∈ sphere (0 : E) r, ‖f z‖ ≤ c) (z : E) : ‖f z‖ ≤ c / r * ‖z‖ := by |
by_cases z_zero : z = 0
· rw [z_zero]
simp only [LinearMap.map_zero, norm_zero, mul_zero]
exact le_rfl
set z₁ := ((r : 𝕜) * (‖z‖ : 𝕜)⁻¹) • z with hz₁
have norm_f_z₁ : ‖f z₁‖ ≤ c := by
apply h
rw [mem_sphere_zero_iff_norm]
exact norm_smul_inv_norm' r_pos.le z_zero
have r_ne_zero : (r : 𝕜) ≠ 0 := RCLike.ofReal_ne_zero.mpr r_pos.ne'
have eq : f z = ‖z‖ / r * f z₁ := by
rw [hz₁, LinearMap.map_smul, smul_eq_mul]
rw [← mul_assoc, ← mul_assoc, div_mul_cancel₀ _ r_ne_zero, mul_inv_cancel, one_mul]
simp only [z_zero, RCLike.ofReal_eq_zero, norm_eq_zero, Ne, not_false_iff]
rw [eq, norm_mul, norm_div, RCLike.norm_coe_norm, RCLike.norm_of_nonneg r_pos.le,
div_mul_eq_mul_div, div_mul_eq_mul_div, mul_comm]
apply div_le_div _ _ r_pos rfl.ge
· exact mul_nonneg ((norm_nonneg _).trans norm_f_z₁) (norm_nonneg z)
apply mul_le_mul norm_f_z₁ rfl.le (norm_nonneg z) ((norm_nonneg _).trans norm_f_z₁)
|
/-
Copyright (c) 2022 Pierre-Alexandre Bazin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Pierre-Alexandre Bazin
-/
import Mathlib.LinearAlgebra.DFinsupp
import Mathlib.RingTheory.Ideal.Operations
#align_import ring_theory.coprime.ideal from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e"
/-!
# An additional lemma about coprime ideals
This lemma generalises `exists_sum_eq_one_iff_pairwise_coprime` to the case of non-principal ideals.
It is on a separate file due to import requirements.
-/
namespace Ideal
variable {ι R : Type*} [CommSemiring R]
/-- A finite family of ideals is pairwise coprime (that is, any two of them generate the whole ring)
iff when taking all the possible intersections of all but one of these ideals, the resulting family
of ideals still generate the whole ring.
For example with three ideals : `I ⊔ J = I ⊔ K = J ⊔ K = ⊤ ↔ (I ⊓ J) ⊔ (I ⊓ K) ⊔ (J ⊓ K) = ⊤`.
When ideals are all of the form `I i = R ∙ s i`, this is equivalent to the
`exists_sum_eq_one_iff_pairwise_coprime` lemma. -/
| Mathlib/RingTheory/Coprime/Ideal.lean | 31 | 112 | theorem iSup_iInf_eq_top_iff_pairwise {t : Finset ι} (h : t.Nonempty) (I : ι → Ideal R) :
(⨆ i ∈ t, ⨅ (j) (_ : j ∈ t) (_ : j ≠ i), I j) = ⊤ ↔
(t : Set ι).Pairwise fun i j => I i ⊔ I j = ⊤ := by |
haveI : DecidableEq ι := Classical.decEq ι
rw [eq_top_iff_one, Submodule.mem_iSup_finset_iff_exists_sum]
refine h.cons_induction ?_ ?_ <;> clear t h
· simp only [Finset.sum_singleton, Finset.coe_singleton, Set.pairwise_singleton, iff_true_iff]
refine fun a => ⟨fun i => if h : i = a then ⟨1, ?_⟩ else 0, ?_⟩
· simp [h]
· simp only [dif_pos, dif_ctx_congr, Submodule.coe_mk, eq_self_iff_true]
intro a t hat h ih
rw [Finset.coe_cons,
Set.pairwise_insert_of_symmetric fun i j (h : I i ⊔ I j = ⊤) ↦ (sup_comm _ _).trans h]
constructor
· rintro ⟨μ, hμ⟩
rw [Finset.sum_cons] at hμ
-- Porting note: `refine` yields goals in a different order than in lean3.
refine ⟨ih.mp ⟨Pi.single h.choose ⟨μ a, ?a1⟩ + fun i => ⟨μ i, ?a2⟩, ?a3⟩, fun b hb ab => ?a4⟩
case a1 =>
have := Submodule.coe_mem (μ a)
rw [mem_iInf] at this ⊢
--for some reason `simp only [mem_iInf]` times out
intro i
specialize this i
rw [mem_iInf, mem_iInf] at this ⊢
intro hi _
apply this (Finset.subset_cons _ hi)
rintro rfl
exact hat hi
case a2 =>
have := Submodule.coe_mem (μ i)
simp only [mem_iInf] at this ⊢
intro j hj ij
exact this _ (Finset.subset_cons _ hj) ij
case a3 =>
rw [← @if_pos _ _ h.choose_spec R (μ a) 0, ← Finset.sum_pi_single', ← Finset.sum_add_distrib]
at hμ
convert hμ
rename_i i _
rw [Pi.add_apply, Submodule.coe_add, Submodule.coe_mk]
by_cases hi : i = h.choose
· rw [hi, Pi.single_eq_same, Pi.single_eq_same, Submodule.coe_mk]
· rw [Pi.single_eq_of_ne hi, Pi.single_eq_of_ne hi, Submodule.coe_zero]
case a4 =>
rw [eq_top_iff_one, Submodule.mem_sup]
rw [add_comm] at hμ
refine ⟨_, ?_, _, ?_, hμ⟩
· refine sum_mem _ fun x hx => ?_
have := Submodule.coe_mem (μ x)
simp only [mem_iInf] at this
apply this _ (Finset.mem_cons_self _ _)
rintro rfl
exact hat hx
· have := Submodule.coe_mem (μ a)
simp only [mem_iInf] at this
exact this _ (Finset.subset_cons _ hb) ab.symm
· rintro ⟨hs, Hb⟩
obtain ⟨μ, hμ⟩ := ih.mpr hs
have := sup_iInf_eq_top fun b hb => Hb b hb (ne_of_mem_of_not_mem hb hat).symm
rw [eq_top_iff_one, Submodule.mem_sup] at this
obtain ⟨u, hu, v, hv, huv⟩ := this
refine ⟨fun i => if hi : i = a then ⟨v, ?_⟩ else ⟨u * μ i, ?_⟩, ?_⟩
· simp only [mem_iInf] at hv ⊢
intro j hj ij
rw [Finset.mem_cons, ← hi] at hj
exact hv _ (hj.resolve_left ij)
· have := Submodule.coe_mem (μ i)
simp only [mem_iInf] at this ⊢
intro j hj ij
rcases Finset.mem_cons.mp hj with (rfl | hj)
· exact mul_mem_right _ _ hu
· exact mul_mem_left _ _ (this _ hj ij)
· dsimp only
rw [Finset.sum_cons, dif_pos rfl, add_comm]
rw [← mul_one u] at huv
rw [← huv, ← hμ, Finset.mul_sum]
congr 1
apply Finset.sum_congr rfl
intro j hj
rw [dif_neg]
rintro rfl
exact hat hj
|
/-
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.Basic
import Mathlib.GroupTheory.Perm.Sign
import Mathlib.Logic.Equiv.Defs
#align_import logic.equiv.fintype from "leanprover-community/mathlib"@"9407b03373c8cd201df99d6bc5514fc2db44054f"
/-! # Equivalence between fintypes
This file contains some basic results on equivalences where one or both
sides of the equivalence are `Fintype`s.
# Main definitions
- `Function.Embedding.toEquivRange`: computably turn an embedding of a
fintype into an `Equiv` of the domain to its range
- `Equiv.Perm.viaFintypeEmbedding : Perm α → (α ↪ β) → Perm β` extends the domain of
a permutation, fixing everything outside the range of the embedding
# Implementation details
- `Function.Embedding.toEquivRange` uses a computable inverse, but one that has poor
computational performance, since it operates by exhaustive search over the input `Fintype`s.
-/
section Fintype
variable {α β : Type*} [Fintype α] [DecidableEq β] (e : Equiv.Perm α) (f : α ↪ β)
/-- Computably turn an embedding `f : α ↪ β` into an equiv `α ≃ Set.range f`,
if `α` is a `Fintype`. Has poor computational performance, due to exhaustive searching in
constructed inverse. When a better inverse is known, use `Equiv.ofLeftInverse'` or
`Equiv.ofLeftInverse` instead. This is the computable version of `Equiv.ofInjective`.
-/
def Function.Embedding.toEquivRange : α ≃ Set.range f :=
⟨fun a => ⟨f a, Set.mem_range_self a⟩, f.invOfMemRange, fun _ => by simp, fun _ => by simp⟩
#align function.embedding.to_equiv_range Function.Embedding.toEquivRange
@[simp]
theorem Function.Embedding.toEquivRange_apply (a : α) :
f.toEquivRange a = ⟨f a, Set.mem_range_self a⟩ :=
rfl
#align function.embedding.to_equiv_range_apply Function.Embedding.toEquivRange_apply
@[simp]
theorem Function.Embedding.toEquivRange_symm_apply_self (a : α) :
f.toEquivRange.symm ⟨f a, Set.mem_range_self a⟩ = a := by simp [Equiv.symm_apply_eq]
#align function.embedding.to_equiv_range_symm_apply_self Function.Embedding.toEquivRange_symm_apply_self
theorem Function.Embedding.toEquivRange_eq_ofInjective :
f.toEquivRange = Equiv.ofInjective f f.injective := by
ext
simp
#align function.embedding.to_equiv_range_eq_of_injective Function.Embedding.toEquivRange_eq_ofInjective
/-- Extend the domain of `e : Equiv.Perm α`, mapping it through `f : α ↪ β`.
Everything outside of `Set.range f` is kept fixed. Has poor computational performance,
due to exhaustive searching in constructed inverse due to using `Function.Embedding.toEquivRange`.
When a better `α ≃ Set.range f` is known, use `Equiv.Perm.viaSetRange`.
When `[Fintype α]` is not available, a noncomputable version is available as
`Equiv.Perm.viaEmbedding`.
-/
def Equiv.Perm.viaFintypeEmbedding : Equiv.Perm β :=
e.extendDomain f.toEquivRange
#align equiv.perm.via_fintype_embedding Equiv.Perm.viaFintypeEmbedding
@[simp]
theorem Equiv.Perm.viaFintypeEmbedding_apply_image (a : α) :
e.viaFintypeEmbedding f (f a) = f (e a) := by
rw [Equiv.Perm.viaFintypeEmbedding]
convert Equiv.Perm.extendDomain_apply_image e (Function.Embedding.toEquivRange f) a
#align equiv.perm.via_fintype_embedding_apply_image Equiv.Perm.viaFintypeEmbedding_apply_image
| Mathlib/Logic/Equiv/Fintype.lean | 78 | 82 | theorem Equiv.Perm.viaFintypeEmbedding_apply_mem_range {b : β} (h : b ∈ Set.range f) :
e.viaFintypeEmbedding f b = f (e (f.invOfMemRange ⟨b, h⟩)) := by |
simp only [viaFintypeEmbedding, Function.Embedding.invOfMemRange]
rw [Equiv.Perm.extendDomain_apply_subtype]
congr
|
/-
Copyright (c) 2020 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import Mathlib.Algebra.Field.Opposite
import Mathlib.Algebra.Group.Invertible.Defs
import Mathlib.Algebra.Ring.Aut
import Mathlib.Algebra.Ring.CompTypeclasses
import Mathlib.Algebra.Field.Opposite
import Mathlib.Algebra.Group.Invertible.Defs
import Mathlib.Data.NNRat.Defs
import Mathlib.Data.Rat.Cast.Defs
import Mathlib.Data.SetLike.Basic
import Mathlib.GroupTheory.GroupAction.Opposite
#align_import algebra.star.basic from "leanprover-community/mathlib"@"31c24aa72e7b3e5ed97a8412470e904f82b81004"
/-!
# Star monoids, rings, and modules
We introduce the basic algebraic notions of star monoids, star rings, and star modules.
A star algebra is simply a star ring that is also a star module.
These are implemented as "mixin" typeclasses, so to summon a star ring (for example)
one needs to write `(R : Type*) [Ring R] [StarRing R]`.
This avoids difficulties with diamond inheritance.
For now we simply do not introduce notations,
as different users are expected to feel strongly about the relative merits of
`r^*`, `r†`, `rᘁ`, and so on.
Our star rings are actually star non-unital, non-associative, semirings, but of course we can prove
`star_neg : star (-r) = - star r` when the underlying semiring is a ring.
-/
assert_not_exists Finset
assert_not_exists Subgroup
universe u v w
open MulOpposite
open scoped NNRat
/-- Notation typeclass (with no default notation!) for an algebraic structure with a star operation.
-/
class Star (R : Type u) where
star : R → R
#align has_star Star
-- https://github.com/leanprover/lean4/issues/2096
compile_def% Star.star
variable {R : Type u}
export Star (star)
/-- A star operation (e.g. complex conjugate).
-/
add_decl_doc star
/-- `StarMemClass S G` states `S` is a type of subsets `s ⊆ G` closed under star. -/
class StarMemClass (S R : Type*) [Star R] [SetLike S R] : Prop where
/-- Closure under star. -/
star_mem : ∀ {s : S} {r : R}, r ∈ s → star r ∈ s
#align star_mem_class StarMemClass
export StarMemClass (star_mem)
attribute [aesop safe apply (rule_sets := [SetLike])] star_mem
namespace StarMemClass
variable {S : Type w} [Star R] [SetLike S R] [hS : StarMemClass S R] (s : S)
instance instStar : Star s where
star r := ⟨star (r : R), star_mem r.prop⟩
@[simp] lemma coe_star (x : s) : star x = star (x : R) := rfl
end StarMemClass
/-- Typeclass for a star operation with is involutive.
-/
class InvolutiveStar (R : Type u) extends Star R where
/-- Involutive condition. -/
star_involutive : Function.Involutive star
#align has_involutive_star InvolutiveStar
export InvolutiveStar (star_involutive)
@[simp]
theorem star_star [InvolutiveStar R] (r : R) : star (star r) = r :=
star_involutive _
#align star_star star_star
theorem star_injective [InvolutiveStar R] : Function.Injective (star : R → R) :=
Function.Involutive.injective star_involutive
#align star_injective star_injective
@[simp]
theorem star_inj [InvolutiveStar R] {x y : R} : star x = star y ↔ x = y :=
star_injective.eq_iff
#align star_inj star_inj
/-- `star` as an equivalence when it is involutive. -/
protected def Equiv.star [InvolutiveStar R] : Equiv.Perm R :=
star_involutive.toPerm _
#align equiv.star Equiv.star
theorem eq_star_of_eq_star [InvolutiveStar R] {r s : R} (h : r = star s) : s = star r := by
simp [h]
#align eq_star_of_eq_star eq_star_of_eq_star
theorem eq_star_iff_eq_star [InvolutiveStar R] {r s : R} : r = star s ↔ s = star r :=
⟨eq_star_of_eq_star, eq_star_of_eq_star⟩
#align eq_star_iff_eq_star eq_star_iff_eq_star
theorem star_eq_iff_star_eq [InvolutiveStar R] {r s : R} : star r = s ↔ star s = r :=
eq_comm.trans <| eq_star_iff_eq_star.trans eq_comm
#align star_eq_iff_star_eq star_eq_iff_star_eq
/-- Typeclass for a trivial star operation. This is mostly meant for `ℝ`.
-/
class TrivialStar (R : Type u) [Star R] : Prop where
/-- Condition that star is trivial-/
star_trivial : ∀ r : R, star r = r
#align has_trivial_star TrivialStar
export TrivialStar (star_trivial)
attribute [simp] star_trivial
/-- A `*`-magma is a magma `R` with an involutive operation `star`
such that `star (r * s) = star s * star r`.
-/
class StarMul (R : Type u) [Mul R] extends InvolutiveStar R where
/-- `star` skew-distributes over multiplication. -/
star_mul : ∀ r s : R, star (r * s) = star s * star r
#align star_semigroup StarMul
export StarMul (star_mul)
attribute [simp 900] star_mul
section StarMul
variable [Mul R] [StarMul R]
theorem star_star_mul (x y : R) : star (star x * y) = star y * x := by rw [star_mul, star_star]
#align star_star_mul star_star_mul
theorem star_mul_star (x y : R) : star (x * star y) = y * star x := by rw [star_mul, star_star]
#align star_mul_star star_mul_star
@[simp]
| Mathlib/Algebra/Star/Basic.lean | 157 | 159 | theorem semiconjBy_star_star_star {x y z : R} :
SemiconjBy (star x) (star z) (star y) ↔ SemiconjBy x y z := by |
simp_rw [SemiconjBy, ← star_mul, star_inj, eq_comm]
|
/-
Copyright (c) 2021 Jon Eugster. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jon Eugster, Eric Wieser
-/
import Mathlib.Algebra.CharP.Defs
import Mathlib.Algebra.FreeAlgebra
import Mathlib.RingTheory.Localization.FractionRing
#align_import algebra.char_p.algebra from "leanprover-community/mathlib"@"96782a2d6dcded92116d8ac9ae48efb41d46a27c"
/-!
# Characteristics of algebras
In this file we describe the characteristic of `R`-algebras.
In particular we are interested in the characteristic of free algebras over `R`
and the fraction field `FractionRing R`.
## Main results
- `charP_of_injective_algebraMap` If `R →+* A` is an injective algebra map
then `A` has the same characteristic as `R`.
Instances constructed from this result:
- Any `FreeAlgebra R X` has the same characteristic as `R`.
- The `FractionRing R` of an integral domain `R` has the same characteristic as `R`.
-/
/-- If a ring homomorphism `R →+* A` is injective then `A` has the same characteristic as `R`. -/
| Mathlib/Algebra/CharP/Algebra.lean | 34 | 37 | theorem charP_of_injective_ringHom {R A : Type*} [NonAssocSemiring R] [NonAssocSemiring A]
{f : R →+* A} (h : Function.Injective f) (p : ℕ) [CharP R p] : CharP A p where
cast_eq_zero_iff' x := by |
rw [← CharP.cast_eq_zero_iff R p x, ← map_natCast f x, map_eq_zero_iff f h]
|
/-
Copyright (c) 2019 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen, Eric Wieser
-/
import Mathlib.Data.Matrix.Basic
/-!
# Row and column matrices
This file provides results about row and column matrices
## Main definitions
* `Matrix.row r : Matrix Unit n α`: a matrix with a single row
* `Matrix.col c : Matrix m Unit α`: a matrix with a single column
* `Matrix.updateRow M i r`: update the `i`th row of `M` to `r`
* `Matrix.updateCol M j c`: update the `j`th column of `M` to `c`
-/
variable {l m n o : Type*}
universe u v w
variable {R : Type*} {α : Type v} {β : Type w}
namespace Matrix
/-- `Matrix.col u` is the column matrix whose entries are given by `u`. -/
def col (w : m → α) : Matrix m Unit α :=
of fun x _ => w x
#align matrix.col Matrix.col
-- TODO: set as an equation lemma for `col`, see mathlib4#3024
@[simp]
theorem col_apply (w : m → α) (i j) : col w i j = w i :=
rfl
#align matrix.col_apply Matrix.col_apply
/-- `Matrix.row u` is the row matrix whose entries are given by `u`. -/
def row (v : n → α) : Matrix Unit n α :=
of fun _ y => v y
#align matrix.row Matrix.row
-- TODO: set as an equation lemma for `row`, see mathlib4#3024
@[simp]
theorem row_apply (v : n → α) (i j) : row v i j = v j :=
rfl
#align matrix.row_apply Matrix.row_apply
theorem col_injective : Function.Injective (col : (m → α) → _) :=
fun _x _y h => funext fun i => congr_fun₂ h i ()
@[simp] theorem col_inj {v w : m → α} : col v = col w ↔ v = w := col_injective.eq_iff
@[simp] theorem col_zero [Zero α] : col (0 : m → α) = 0 := rfl
@[simp] theorem col_eq_zero [Zero α] (v : m → α) : col v = 0 ↔ v = 0 := col_inj
@[simp]
theorem col_add [Add α] (v w : m → α) : col (v + w) = col v + col w := by
ext
rfl
#align matrix.col_add Matrix.col_add
@[simp]
theorem col_smul [SMul R α] (x : R) (v : m → α) : col (x • v) = x • col v := by
ext
rfl
#align matrix.col_smul Matrix.col_smul
theorem row_injective : Function.Injective (row : (n → α) → _) :=
fun _x _y h => funext fun j => congr_fun₂ h () j
@[simp] theorem row_inj {v w : n → α} : row v = row w ↔ v = w := row_injective.eq_iff
@[simp] theorem row_zero [Zero α] : row (0 : n → α) = 0 := rfl
@[simp] theorem row_eq_zero [Zero α] (v : n → α) : row v = 0 ↔ v = 0 := row_inj
@[simp]
theorem row_add [Add α] (v w : m → α) : row (v + w) = row v + row w := by
ext
rfl
#align matrix.row_add Matrix.row_add
@[simp]
theorem row_smul [SMul R α] (x : R) (v : m → α) : row (x • v) = x • row v := by
ext
rfl
#align matrix.row_smul Matrix.row_smul
@[simp]
theorem transpose_col (v : m → α) : (Matrix.col v)ᵀ = Matrix.row v := by
ext
rfl
#align matrix.transpose_col Matrix.transpose_col
@[simp]
theorem transpose_row (v : m → α) : (Matrix.row v)ᵀ = Matrix.col v := by
ext
rfl
#align matrix.transpose_row Matrix.transpose_row
@[simp]
theorem conjTranspose_col [Star α] (v : m → α) : (col v)ᴴ = row (star v) := by
ext
rfl
#align matrix.conj_transpose_col Matrix.conjTranspose_col
@[simp]
| Mathlib/Data/Matrix/RowCol.lean | 112 | 114 | theorem conjTranspose_row [Star α] (v : m → α) : (row v)ᴴ = col (star v) := by |
ext
rfl
|
/-
Copyright (c) 2022 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import Mathlib.CategoryTheory.Idempotents.Basic
import Mathlib.CategoryTheory.Preadditive.AdditiveFunctor
import Mathlib.CategoryTheory.Equivalence
#align_import category_theory.idempotents.karoubi from "leanprover-community/mathlib"@"200eda15d8ff5669854ff6bcc10aaf37cb70498f"
/-!
# The Karoubi envelope of a category
In this file, we define the Karoubi envelope `Karoubi C` of a category `C`.
## Main constructions and definitions
- `Karoubi C` is the Karoubi envelope of a category `C`: it is an idempotent
complete category. It is also preadditive when `C` is preadditive.
- `toKaroubi C : C ⥤ Karoubi C` is a fully faithful functor, which is an equivalence
(`toKaroubiIsEquivalence`) when `C` is idempotent complete.
-/
noncomputable section
open CategoryTheory.Category CategoryTheory.Preadditive CategoryTheory.Limits BigOperators
namespace CategoryTheory
variable (C : Type*) [Category C]
namespace Idempotents
-- porting note (#5171): removed @[nolint has_nonempty_instance]
/-- In a preadditive category `C`, when an object `X` decomposes as `X ≅ P ⨿ Q`, one may
consider `P` as a direct factor of `X` and up to unique isomorphism, it is determined by the
obvious idempotent `X ⟶ P ⟶ X` which is the projection onto `P` with kernel `Q`. More generally,
one may define a formal direct factor of an object `X : C` : it consists of an idempotent
`p : X ⟶ X` which is thought as the "formal image" of `p`. The type `Karoubi C` shall be the
type of the objects of the karoubi envelope of `C`. It makes sense for any category `C`. -/
structure Karoubi where
/-- an object of the underlying category -/
X : C
/-- an endomorphism of the object -/
p : X ⟶ X
/-- the condition that the given endomorphism is an idempotent -/
idem : p ≫ p = p := by aesop_cat
#align category_theory.idempotents.karoubi CategoryTheory.Idempotents.Karoubi
namespace Karoubi
variable {C}
attribute [reassoc (attr := simp)] idem
@[ext]
theorem ext {P Q : Karoubi C} (h_X : P.X = Q.X) (h_p : P.p ≫ eqToHom h_X = eqToHom h_X ≫ Q.p) :
P = Q := by
cases P
cases Q
dsimp at h_X h_p
subst h_X
simpa only [mk.injEq, heq_eq_eq, true_and, eqToHom_refl, comp_id, id_comp] using h_p
#align category_theory.idempotents.karoubi.ext CategoryTheory.Idempotents.Karoubi.ext
/-- A morphism `P ⟶ Q` in the category `Karoubi C` is a morphism in the underlying category
`C` which satisfies a relation, which in the preadditive case, expresses that it induces a
map between the corresponding "formal direct factors" and that it vanishes on the complement
formal direct factor. -/
@[ext]
structure Hom (P Q : Karoubi C) where
/-- a morphism between the underlying objects -/
f : P.X ⟶ Q.X
/-- compatibility of the given morphism with the given idempotents -/
comm : f = P.p ≫ f ≫ Q.p := by aesop_cat
#align category_theory.idempotents.karoubi.hom CategoryTheory.Idempotents.Karoubi.Hom
instance [Preadditive C] (P Q : Karoubi C) : Inhabited (Hom P Q) :=
⟨⟨0, by rw [zero_comp, comp_zero]⟩⟩
@[reassoc (attr := simp)]
theorem p_comp {P Q : Karoubi C} (f : Hom P Q) : P.p ≫ f.f = f.f := by rw [f.comm, ← assoc, P.idem]
#align category_theory.idempotents.karoubi.p_comp CategoryTheory.Idempotents.Karoubi.p_comp
@[reassoc (attr := simp)]
theorem comp_p {P Q : Karoubi C} (f : Hom P Q) : f.f ≫ Q.p = f.f := by
rw [f.comm, assoc, assoc, Q.idem]
#align category_theory.idempotents.karoubi.comp_p CategoryTheory.Idempotents.Karoubi.comp_p
@[reassoc]
theorem p_comm {P Q : Karoubi C} (f : Hom P Q) : P.p ≫ f.f = f.f ≫ Q.p := by rw [p_comp, comp_p]
#align category_theory.idempotents.karoubi.p_comm CategoryTheory.Idempotents.Karoubi.p_comm
theorem comp_proof {P Q R : Karoubi C} (g : Hom Q R) (f : Hom P Q) :
f.f ≫ g.f = P.p ≫ (f.f ≫ g.f) ≫ R.p := by rw [assoc, comp_p, ← assoc, p_comp]
#align category_theory.idempotents.karoubi.comp_proof CategoryTheory.Idempotents.Karoubi.comp_proof
/-- The category structure on the karoubi envelope of a category. -/
instance : Category (Karoubi C) where
Hom := Karoubi.Hom
id P := ⟨P.p, by repeat' rw [P.idem]⟩
comp f g := ⟨f.f ≫ g.f, Karoubi.comp_proof g f⟩
@[simp]
| Mathlib/CategoryTheory/Idempotents/Karoubi.lean | 108 | 112 | theorem hom_ext_iff {P Q : Karoubi C} {f g : P ⟶ Q} : f = g ↔ f.f = g.f := by |
constructor
· intro h
rw [h]
· apply Hom.ext
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Floris van Doorn, Violeta Hernández Palacios
-/
import Mathlib.SetTheory.Ordinal.Basic
import Mathlib.Data.Nat.SuccPred
#align_import set_theory.ordinal.arithmetic from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7"
/-!
# Ordinal arithmetic
Ordinals have an addition (corresponding to disjoint union) that turns them into an additive
monoid, and a multiplication (corresponding to the lexicographic order on the product) that turns
them into a monoid. One can also define correspondingly a subtraction, a division, a successor
function, a power function and a logarithm function.
We also define limit ordinals and prove the basic induction principle on ordinals separating
successor ordinals and limit ordinals, in `limitRecOn`.
## Main definitions and results
* `o₁ + o₂` is the order on the disjoint union of `o₁` and `o₂` obtained by declaring that
every element of `o₁` is smaller than every element of `o₂`.
* `o₁ - o₂` is the unique ordinal `o` such that `o₂ + o = o₁`, when `o₂ ≤ o₁`.
* `o₁ * o₂` is the lexicographic order on `o₂ × o₁`.
* `o₁ / o₂` is the ordinal `o` such that `o₁ = o₂ * o + o'` with `o' < o₂`. We also define the
divisibility predicate, and a modulo operation.
* `Order.succ o = o + 1` is the successor of `o`.
* `pred o` if the predecessor of `o`. If `o` is not a successor, we set `pred o = o`.
We discuss the properties of casts of natural numbers of and of `ω` with respect to these
operations.
Some properties of the operations are also used to discuss general tools on ordinals:
* `IsLimit o`: an ordinal is a limit ordinal if it is neither `0` nor a successor.
* `limitRecOn` is the main induction principle of ordinals: if one can prove a property by
induction at successor ordinals and at limit ordinals, then it holds for all ordinals.
* `IsNormal`: a function `f : Ordinal → Ordinal` satisfies `IsNormal` if it is strictly increasing
and order-continuous, i.e., the image `f o` of a limit ordinal `o` is the sup of `f a` for
`a < o`.
* `enumOrd`: enumerates an unbounded set of ordinals by the ordinals themselves.
* `sup`, `lsub`: the supremum / least strict upper bound of an indexed family of ordinals in
`Type u`, as an ordinal in `Type u`.
* `bsup`, `blsub`: the supremum / least strict upper bound of a set of ordinals indexed by ordinals
less than a given ordinal `o`.
Various other basic arithmetic results are given in `Principal.lean` instead.
-/
assert_not_exists Field
assert_not_exists Module
noncomputable section
open Function Cardinal Set Equiv Order
open scoped Classical
open Cardinal Ordinal
universe u v w
namespace Ordinal
variable {α : Type*} {β : Type*} {γ : Type*} {r : α → α → Prop} {s : β → β → Prop}
{t : γ → γ → Prop}
/-! ### Further properties of addition on ordinals -/
@[simp]
theorem lift_add (a b : Ordinal.{v}) : lift.{u} (a + b) = lift.{u} a + lift.{u} b :=
Quotient.inductionOn₂ a b fun ⟨_α, _r, _⟩ ⟨_β, _s, _⟩ =>
Quotient.sound
⟨(RelIso.preimage Equiv.ulift _).trans
(RelIso.sumLexCongr (RelIso.preimage Equiv.ulift _) (RelIso.preimage Equiv.ulift _)).symm⟩
#align ordinal.lift_add Ordinal.lift_add
@[simp]
| Mathlib/SetTheory/Ordinal/Arithmetic.lean | 81 | 83 | theorem lift_succ (a : Ordinal.{v}) : lift.{u} (succ a) = succ (lift.{u} a) := by |
rw [← add_one_eq_succ, lift_add, lift_one]
rfl
|
/-
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.BigOperators.Group.Finset
import Mathlib.Data.Finsupp.Defs
import Mathlib.Data.Finset.Pairwise
#align_import data.finsupp.big_operators from "leanprover-community/mathlib"@"59694bd07f0a39c5beccba34bd9f413a160782bf"
/-!
# Sums of collections of Finsupp, and their support
This file provides results about the `Finsupp.support` of sums of collections of `Finsupp`,
including sums of `List`, `Multiset`, and `Finset`.
The support of the sum is a subset of the union of the supports:
* `List.support_sum_subset`
* `Multiset.support_sum_subset`
* `Finset.support_sum_subset`
The support of the sum of pairwise disjoint finsupps is equal to the union of the supports
* `List.support_sum_eq`
* `Multiset.support_sum_eq`
* `Finset.support_sum_eq`
Member in the support of the indexed union over a collection iff
it is a member of the support of a member of the collection:
* `List.mem_foldr_sup_support_iff`
* `Multiset.mem_sup_map_support_iff`
* `Finset.mem_sup_support_iff`
-/
variable {ι M : Type*} [DecidableEq ι]
| Mathlib/Data/Finsupp/BigOperators.lean | 39 | 45 | theorem List.support_sum_subset [AddMonoid M] (l : List (ι →₀ M)) :
l.sum.support ⊆ l.foldr (Finsupp.support · ⊔ ·) ∅ := by |
induction' l with hd tl IH
· simp
· simp only [List.sum_cons, Finset.union_comm]
refine Finsupp.support_add.trans (Finset.union_subset_union ?_ IH)
rfl
|
/-
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.Algebra.Order.Ring.Nat
import Mathlib.Data.List.Chain
#align_import data.bool.count from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
/-!
# List of booleans
In this file we prove lemmas about the number of `false`s and `true`s in a list of booleans. First
we prove that the number of `false`s plus the number of `true` equals the length of the list. Then
we prove that in a list with alternating `true`s and `false`s, the number of `true`s differs from
the number of `false`s by at most one. We provide several versions of these statements.
-/
namespace List
@[simp]
| Mathlib/Data/Bool/Count.lean | 24 | 29 | theorem count_not_add_count (l : List Bool) (b : Bool) : count (!b) l + count b l = length l := by |
-- Porting note: Proof re-written
-- Old proof: simp only [length_eq_countP_add_countP (Eq (!b)), Bool.not_not_eq, count]
simp only [length_eq_countP_add_countP (· == !b), count, add_right_inj]
suffices (fun x => x == b) = (fun a => decide ¬(a == !b) = true) by rw [this]
ext x; cases x <;> cases b <;> rfl
|
/-
Copyright (c) 2021 Anne Baanen. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Anne Baanen
-/
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.LinearAlgebra.FreeModule.PID
import Mathlib.LinearAlgebra.Matrix.AbsoluteValue
import Mathlib.NumberTheory.ClassNumber.AdmissibleAbsoluteValue
import Mathlib.RingTheory.ClassGroup
import Mathlib.RingTheory.DedekindDomain.IntegralClosure
import Mathlib.RingTheory.Norm
#align_import number_theory.class_number.finite from "leanprover-community/mathlib"@"ea0bcd84221246c801a6f8fbe8a4372f6d04b176"
/-!
# Class numbers of global fields
In this file, we use the notion of "admissible absolute value" to prove
finiteness of the class group for number fields and function fields.
## Main definitions
- `ClassGroup.fintypeOfAdmissibleOfAlgebraic`: if `R` has an admissible absolute value,
its integral closure has a finite class group
-/
open scoped nonZeroDivisors
namespace ClassGroup
open Ring
section EuclideanDomain
variable {R S : Type*} (K L : Type*) [EuclideanDomain R] [CommRing S] [IsDomain S]
variable [Field K] [Field L]
variable [Algebra R K] [IsFractionRing R K]
variable [Algebra K L] [FiniteDimensional K L] [IsSeparable K L]
variable [algRL : Algebra R L] [IsScalarTower R K L]
variable [Algebra R S] [Algebra S L]
variable [ist : IsScalarTower R S L] [iic : IsIntegralClosure S R L]
variable (abv : AbsoluteValue R ℤ)
variable {ι : Type*} [DecidableEq ι] [Fintype ι] (bS : Basis ι R S)
/-- If `b` is an `R`-basis of `S` of cardinality `n`, then `normBound abv b` is an integer
such that for every `R`-integral element `a : S` with coordinates `≤ y`,
we have algebra.norm a ≤ norm_bound abv b * y ^ n`. (See also `norm_le` and `norm_lt`). -/
noncomputable def normBound : ℤ :=
let n := Fintype.card ι
let i : ι := Nonempty.some bS.index_nonempty
let m : ℤ :=
Finset.max'
(Finset.univ.image fun ijk : ι × ι × ι =>
abv (Algebra.leftMulMatrix bS (bS ijk.1) ijk.2.1 ijk.2.2))
⟨_, Finset.mem_image.mpr ⟨⟨i, i, i⟩, Finset.mem_univ _, rfl⟩⟩
Nat.factorial n • (n • m) ^ n
#align class_group.norm_bound ClassGroup.normBound
theorem normBound_pos : 0 < normBound abv bS := by
obtain ⟨i, j, k, hijk⟩ : ∃ i j k, Algebra.leftMulMatrix bS (bS i) j k ≠ 0 := by
by_contra! h
obtain ⟨i⟩ := bS.index_nonempty
apply bS.ne_zero i
apply
(injective_iff_map_eq_zero (Algebra.leftMulMatrix bS)).mp (Algebra.leftMulMatrix_injective bS)
ext j k
simp [h, DMatrix.zero_apply]
simp only [normBound, Algebra.smul_def, eq_natCast]
apply mul_pos (Int.natCast_pos.mpr (Nat.factorial_pos _))
refine pow_pos (mul_pos (Int.natCast_pos.mpr (Fintype.card_pos_iff.mpr ⟨i⟩)) ?_) _
refine lt_of_lt_of_le (abv.pos hijk) (Finset.le_max' _ _ ?_)
exact Finset.mem_image.mpr ⟨⟨i, j, k⟩, Finset.mem_univ _, rfl⟩
#align class_group.norm_bound_pos ClassGroup.normBound_pos
/-- If the `R`-integral element `a : S` has coordinates `≤ y` with respect to some basis `b`,
its norm is less than `normBound abv b * y ^ dim S`. -/
| Mathlib/NumberTheory/ClassNumber/Finite.lean | 76 | 86 | theorem norm_le (a : S) {y : ℤ} (hy : ∀ k, abv (bS.repr a k) ≤ y) :
abv (Algebra.norm R a) ≤ normBound abv bS * y ^ Fintype.card ι := by |
conv_lhs => rw [← bS.sum_repr a]
rw [Algebra.norm_apply, ← LinearMap.det_toMatrix bS]
simp only [Algebra.norm_apply, AlgHom.map_sum, AlgHom.map_smul, map_sum,
map_smul, Algebra.toMatrix_lmul_eq, normBound, smul_mul_assoc, ← mul_pow]
convert Matrix.det_sum_smul_le Finset.univ _ hy using 3
· rw [Finset.card_univ, smul_mul_assoc, mul_comm]
· intro i j k
apply Finset.le_max'
exact Finset.mem_image.mpr ⟨⟨i, j, k⟩, Finset.mem_univ _, rfl⟩
|
/-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import Mathlib.Data.List.Lattice
import Mathlib.Data.List.Range
import Mathlib.Data.Bool.Basic
#align_import data.list.intervals from "leanprover-community/mathlib"@"7b78d1776212a91ecc94cf601f83bdcc46b04213"
/-!
# Intervals in ℕ
This file defines intervals of naturals. `List.Ico m n` is the list of integers greater than `m`
and strictly less than `n`.
## TODO
- Define `Ioo` and `Icc`, state basic lemmas about them.
- Also do the versions for integers?
- One could generalise even further, defining 'locally finite partial orders', for which
`Set.Ico a b` is `[Finite]`, and 'locally finite total orders', for which there is a list model.
- Once the above is done, get rid of `Data.Int.range` (and maybe `List.range'`?).
-/
open Nat
namespace List
/-- `Ico n m` is the list of natural numbers `n ≤ x < m`.
(Ico stands for "interval, closed-open".)
See also `Data/Set/Intervals.lean` for `Set.Ico`, modelling intervals in general preorders, and
`Multiset.Ico` and `Finset.Ico` for `n ≤ x < m` as a multiset or as a finset.
-/
def Ico (n m : ℕ) : List ℕ :=
range' n (m - n)
#align list.Ico List.Ico
namespace Ico
theorem zero_bot (n : ℕ) : Ico 0 n = range n := by rw [Ico, Nat.sub_zero, range_eq_range']
#align list.Ico.zero_bot List.Ico.zero_bot
@[simp]
theorem length (n m : ℕ) : length (Ico n m) = m - n := by
dsimp [Ico]
simp [length_range', autoParam]
#align list.Ico.length List.Ico.length
theorem pairwise_lt (n m : ℕ) : Pairwise (· < ·) (Ico n m) := by
dsimp [Ico]
simp [pairwise_lt_range', autoParam]
#align list.Ico.pairwise_lt List.Ico.pairwise_lt
theorem nodup (n m : ℕ) : Nodup (Ico n m) := by
dsimp [Ico]
simp [nodup_range', autoParam]
#align list.Ico.nodup List.Ico.nodup
@[simp]
| Mathlib/Data/List/Intervals.lean | 62 | 69 | theorem mem {n m l : ℕ} : l ∈ Ico n m ↔ n ≤ l ∧ l < m := by |
suffices n ≤ l ∧ l < n + (m - n) ↔ n ≤ l ∧ l < m by simp [Ico, this]
rcases le_total n m with hnm | hmn
· rw [Nat.add_sub_cancel' hnm]
· rw [Nat.sub_eq_zero_iff_le.mpr hmn, Nat.add_zero]
exact
and_congr_right fun hnl =>
Iff.intro (fun hln => (not_le_of_gt hln hnl).elim) fun hlm => lt_of_lt_of_le hlm hmn
|
/-
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.Logic.Basic
import Mathlib.Tactic.Convert
import Mathlib.Tactic.SplitIfs
#align_import logic.lemmas from "leanprover-community/mathlib"@"2ed7e4aec72395b6a7c3ac4ac7873a7a43ead17c"
/-!
# More basic logic properties
A few more logic lemmas. These are in their own file, rather than `Logic.Basic`, because it is
convenient to be able to use the `split_ifs` tactic.
## Implementation notes
We spell those lemmas out with `dite` and `ite` rather than the `if then else` notation because this
would result in less delta-reduced statements.
-/
protected alias ⟨HEq.eq, Eq.heq⟩ := heq_iff_eq
#align heq.eq HEq.eq
#align eq.heq Eq.heq
variable {α : Sort*} {p q r : Prop} [Decidable p] [Decidable q] {a b c : α}
theorem dite_dite_distrib_left {a : p → α} {b : ¬p → q → α} {c : ¬p → ¬q → α} :
(dite p a fun hp ↦ dite q (b hp) (c hp)) =
dite q (fun hq ↦ (dite p a) fun hp ↦ b hp hq) fun hq ↦ (dite p a) fun hp ↦ c hp hq := by
split_ifs <;> rfl
#align dite_dite_distrib_left dite_dite_distrib_left
| Mathlib/Logic/Lemmas.lean | 34 | 37 | theorem dite_dite_distrib_right {a : p → q → α} {b : p → ¬q → α} {c : ¬p → α} :
dite p (fun hp ↦ dite q (a hp) (b hp)) c =
dite q (fun hq ↦ dite p (fun hp ↦ a hp hq) c) fun hq ↦ dite p (fun hp ↦ b hp hq) c := by |
split_ifs <;> rfl
|
/-
Copyright (c) 2014 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Jeremy Avigad
-/
import Mathlib.Algebra.Order.Ring.Nat
#align_import data.nat.dist from "leanprover-community/mathlib"@"d50b12ae8e2bd910d08a94823976adae9825718b"
/-!
# Distance function on ℕ
This file defines a simple distance function on naturals from truncated subtraction.
-/
namespace Nat
/-- Distance (absolute value of difference) between natural numbers. -/
def dist (n m : ℕ) :=
n - m + (m - n)
#align nat.dist Nat.dist
-- Should be aligned to `Nat.dist.eq_def`, but that is generated on demand and isn't present yet.
#noalign nat.dist.def
| Mathlib/Data/Nat/Dist.lean | 27 | 27 | theorem dist_comm (n m : ℕ) : dist n m = dist m n := by | simp [dist, add_comm]
|
/-
Copyright (c) 2022 Eric Wieser. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Eric Wieser
-/
import Mathlib.Data.DFinsupp.Order
#align_import data.dfinsupp.multiset from "leanprover-community/mathlib"@"442a83d738cb208d3600056c489be16900ba701d"
/-!
# Equivalence between `Multiset` and `ℕ`-valued finitely supported functions
This defines `DFinsupp.toMultiset` the equivalence between `Π₀ a : α, ℕ` and `Multiset α`, along
with `Multiset.toDFinsupp` the reverse equivalence.
-/
open Function
variable {α : Type*} {β : α → Type*}
namespace DFinsupp
/-- Non-dependent special case of `DFinsupp.addZeroClass` to help typeclass search. -/
instance addZeroClass' {β} [AddZeroClass β] : AddZeroClass (Π₀ _ : α, β) :=
@DFinsupp.addZeroClass α (fun _ ↦ β) _
#align dfinsupp.add_zero_class' DFinsupp.addZeroClass'
variable [DecidableEq α] {s t : Multiset α}
/-- A DFinsupp version of `Finsupp.toMultiset`. -/
def toMultiset : (Π₀ _ : α, ℕ) →+ Multiset α :=
DFinsupp.sumAddHom fun a : α ↦ Multiset.replicateAddMonoidHom a
#align dfinsupp.to_multiset DFinsupp.toMultiset
@[simp]
theorem toMultiset_single (a : α) (n : ℕ) :
toMultiset (DFinsupp.single a n) = Multiset.replicate n a :=
DFinsupp.sumAddHom_single _ _ _
#align dfinsupp.to_multiset_single DFinsupp.toMultiset_single
end DFinsupp
namespace Multiset
variable [DecidableEq α] {s t : Multiset α}
/-- A DFinsupp version of `Multiset.toFinsupp`. -/
def toDFinsupp : Multiset α →+ Π₀ _ : α, ℕ where
toFun s :=
{ toFun := fun n ↦ s.count n
support' := Trunc.mk ⟨s, fun i ↦ (em (i ∈ s)).imp_right Multiset.count_eq_zero_of_not_mem⟩ }
map_zero' := rfl
map_add' _ _ := DFinsupp.ext fun _ ↦ Multiset.count_add _ _ _
#align multiset.to_dfinsupp Multiset.toDFinsupp
@[simp]
theorem toDFinsupp_apply (s : Multiset α) (a : α) : Multiset.toDFinsupp s a = s.count a :=
rfl
#align multiset.to_dfinsupp_apply Multiset.toDFinsupp_apply
@[simp]
theorem toDFinsupp_support (s : Multiset α) : s.toDFinsupp.support = s.toFinset :=
Finset.filter_true_of_mem fun _ hx ↦ count_ne_zero.mpr <| Multiset.mem_toFinset.1 hx
#align multiset.to_dfinsupp_support Multiset.toDFinsupp_support
@[simp]
theorem toDFinsupp_replicate (a : α) (n : ℕ) :
toDFinsupp (Multiset.replicate n a) = DFinsupp.single a n := by
ext i
dsimp [toDFinsupp]
simp [count_replicate, eq_comm]
#align multiset.to_dfinsupp_replicate Multiset.toDFinsupp_replicate
@[simp]
theorem toDFinsupp_singleton (a : α) : toDFinsupp {a} = DFinsupp.single a 1 := by
rw [← replicate_one, toDFinsupp_replicate]
#align multiset.to_dfinsupp_singleton Multiset.toDFinsupp_singleton
/-- `Multiset.toDFinsupp` as an `AddEquiv`. -/
@[simps! apply symm_apply]
def equivDFinsupp : Multiset α ≃+ Π₀ _ : α, ℕ :=
AddMonoidHom.toAddEquiv Multiset.toDFinsupp DFinsupp.toMultiset (by ext; simp) (by ext; simp)
#align multiset.equiv_dfinsupp Multiset.equivDFinsupp
@[simp]
theorem toDFinsupp_toMultiset (s : Multiset α) : DFinsupp.toMultiset (Multiset.toDFinsupp s) = s :=
equivDFinsupp.symm_apply_apply s
#align multiset.to_dfinsupp_to_multiset Multiset.toDFinsupp_toMultiset
theorem toDFinsupp_injective : Injective (toDFinsupp : Multiset α → Π₀ _a, ℕ) :=
equivDFinsupp.injective
#align multiset.to_dfinsupp_injective Multiset.toDFinsupp_injective
@[simp]
theorem toDFinsupp_inj : toDFinsupp s = toDFinsupp t ↔ s = t :=
toDFinsupp_injective.eq_iff
#align multiset.to_dfinsupp_inj Multiset.toDFinsupp_inj
@[simp]
| Mathlib/Data/DFinsupp/Multiset.lean | 100 | 101 | theorem toDFinsupp_le_toDFinsupp : toDFinsupp s ≤ toDFinsupp t ↔ s ≤ t := by |
simp [Multiset.le_iff_count, DFinsupp.le_def]
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Johan Commelin, Mario Carneiro
-/
import Mathlib.Algebra.MvPolynomial.Basic
#align_import data.mv_polynomial.rename from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
/-!
# Renaming variables of polynomials
This file establishes the `rename` operation on multivariate polynomials,
which modifies the set of variables.
## Main declarations
* `MvPolynomial.rename`
* `MvPolynomial.renameEquiv`
## Notation
As in other polynomial files, we typically use the notation:
+ `σ τ α : Type*` (indexing the variables)
+ `R S : Type*` `[CommSemiring R]` `[CommSemiring S]` (the coefficients)
+ `s : σ →₀ ℕ`, a function from `σ` to `ℕ` which is zero away from a finite set.
This will give rise to a monomial in `MvPolynomial σ R` which mathematicians might call `X^s`
+ `r : R` elements of the coefficient ring
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : MvPolynomial σ α`
-/
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
variable {σ τ α R S : Type*} [CommSemiring R] [CommSemiring S]
namespace MvPolynomial
section Rename
/-- Rename all the variables in a multivariable polynomial. -/
def rename (f : σ → τ) : MvPolynomial σ R →ₐ[R] MvPolynomial τ R :=
aeval (X ∘ f)
#align mv_polynomial.rename MvPolynomial.rename
theorem rename_C (f : σ → τ) (r : R) : rename f (C r) = C r :=
eval₂_C _ _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.rename_C MvPolynomial.rename_C
@[simp]
theorem rename_X (f : σ → τ) (i : σ) : rename f (X i : MvPolynomial σ R) = X (f i) :=
eval₂_X _ _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.rename_X MvPolynomial.rename_X
theorem map_rename (f : R →+* S) (g : σ → τ) (p : MvPolynomial σ R) :
map f (rename g p) = rename g (map f p) := by
apply MvPolynomial.induction_on p
(fun a => by simp only [map_C, rename_C])
(fun p q hp hq => by simp only [hp, hq, AlgHom.map_add, RingHom.map_add]) fun p n hp => by
simp only [hp, rename_X, map_X, RingHom.map_mul, AlgHom.map_mul]
#align mv_polynomial.map_rename MvPolynomial.map_rename
@[simp]
theorem rename_rename (f : σ → τ) (g : τ → α) (p : MvPolynomial σ R) :
rename g (rename f p) = rename (g ∘ f) p :=
show rename g (eval₂ C (X ∘ f) p) = _ by
simp only [rename, aeval_eq_eval₂Hom]
-- Porting note: the Lean 3 proof of this was very fragile and included a nonterminal `simp`.
-- Hopefully this is less prone to breaking
rw [eval₂_comp_left (eval₂Hom (algebraMap R (MvPolynomial α R)) (X ∘ g)) C (X ∘ f) p]
simp only [(· ∘ ·), eval₂Hom_X']
refine eval₂Hom_congr ?_ rfl rfl
ext1; simp only [comp_apply, RingHom.coe_comp, eval₂Hom_C]
#align mv_polynomial.rename_rename MvPolynomial.rename_rename
@[simp]
theorem rename_id (p : MvPolynomial σ R) : rename id p = p :=
eval₂_eta p
#align mv_polynomial.rename_id MvPolynomial.rename_id
theorem rename_monomial (f : σ → τ) (d : σ →₀ ℕ) (r : R) :
rename f (monomial d r) = monomial (d.mapDomain f) r := by
rw [rename, aeval_monomial, monomial_eq (s := Finsupp.mapDomain f d),
Finsupp.prod_mapDomain_index]
· rfl
· exact fun n => pow_zero _
· exact fun n i₁ i₂ => pow_add _ _ _
#align mv_polynomial.rename_monomial MvPolynomial.rename_monomial
| Mathlib/Algebra/MvPolynomial/Rename.lean | 102 | 106 | theorem rename_eq (f : σ → τ) (p : MvPolynomial σ R) :
rename f p = Finsupp.mapDomain (Finsupp.mapDomain f) p := by |
simp only [rename, aeval_def, eval₂, Finsupp.mapDomain, algebraMap_eq, comp_apply,
X_pow_eq_monomial, ← monomial_finsupp_sum_index]
rfl
|
/-
Copyright (c) 2022 Jujian Zhang. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jujian Zhang
-/
import Mathlib.CategoryTheory.Preadditive.Injective
import Mathlib.Algebra.Category.ModuleCat.EpiMono
import Mathlib.RingTheory.Ideal.Basic
import Mathlib.LinearAlgebra.LinearPMap
import Mathlib.Logic.Equiv.TransferInstance
#align_import algebra.module.injective from "leanprover-community/mathlib"@"f8d8465c3c392a93b9ed226956e26dee00975946"
/-!
# Injective modules
## Main definitions
* `Module.Injective`: an `R`-module `Q` is injective if and only if every injective `R`-linear
map descends to a linear map to `Q`, i.e. in the following diagram, if `f` is injective then there
is an `R`-linear map `h : Y ⟶ Q` such that `g = h ∘ f`
```
X --- f ---> Y
|
| g
v
Q
```
* `Module.Baer`: an `R`-module `Q` satisfies Baer's criterion if any `R`-linear map from an
`Ideal R` extends to an `R`-linear map `R ⟶ Q`
## Main statements
* `Module.Baer.injective`: an `R`-module is injective if it is Baer.
-/
noncomputable section
universe u v v'
variable (R : Type u) [Ring R] (Q : Type v) [AddCommGroup Q] [Module R Q]
/--
An `R`-module `Q` is injective if and only if every injective `R`-linear map descends to a linear
map to `Q`, i.e. in the following diagram, if `f` is injective then there is an `R`-linear map
`h : Y ⟶ Q` such that `g = h ∘ f`
```
X --- f ---> Y
|
| g
v
Q
```
-/
@[mk_iff] class Module.Injective : Prop where
out : ∀ ⦃X Y : Type v⦄ [AddCommGroup X] [AddCommGroup Y] [Module R X] [Module R Y]
(f : X →ₗ[R] Y) (_ : Function.Injective f) (g : X →ₗ[R] Q),
∃ h : Y →ₗ[R] Q, ∀ x, h (f x) = g x
#align module.injective Module.Injective
theorem Module.injective_object_of_injective_module [inj : Module.Injective R Q] :
CategoryTheory.Injective (ModuleCat.of R Q) where
factors g f m :=
have ⟨l, h⟩ := inj.out f ((ModuleCat.mono_iff_injective f).mp m) g
⟨l, LinearMap.ext h⟩
#align module.injective_object_of_injective_module Module.injective_object_of_injective_module
theorem Module.injective_module_of_injective_object
[inj : CategoryTheory.Injective <| ModuleCat.of R Q] :
Module.Injective R Q where
out X Y _ _ _ _ f hf g := by
have : CategoryTheory.Mono (ModuleCat.ofHom f) := (ModuleCat.mono_iff_injective _).mpr hf
obtain ⟨l, rfl⟩ := inj.factors (ModuleCat.ofHom g) (ModuleCat.ofHom f)
exact ⟨l, fun _ ↦ rfl⟩
#align module.injective_module_of_injective_object Module.injective_module_of_injective_object
theorem Module.injective_iff_injective_object :
Module.Injective R Q ↔
CategoryTheory.Injective (ModuleCat.of R Q) :=
⟨fun _ => injective_object_of_injective_module R Q,
fun _ => injective_module_of_injective_object R Q⟩
#align module.injective_iff_injective_object Module.injective_iff_injective_object
/-- An `R`-module `Q` satisfies Baer's criterion if any `R`-linear map from an `Ideal R` extends to
an `R`-linear map `R ⟶ Q`-/
def Module.Baer : Prop :=
∀ (I : Ideal R) (g : I →ₗ[R] Q), ∃ g' : R →ₗ[R] Q, ∀ (x : R) (mem : x ∈ I), g' x = g ⟨x, mem⟩
set_option linter.uppercaseLean3 false in
#align module.Baer Module.Baer
namespace Module.Baer
variable {R Q} {M N : Type*} [AddCommGroup M] [AddCommGroup N]
variable [Module R M] [Module R N] (i : M →ₗ[R] N) (f : M →ₗ[R] Q)
/-- If we view `M` as a submodule of `N` via the injective linear map `i : M ↪ N`, then a submodule
between `M` and `N` is a submodule `N'` of `N`. To prove Baer's criterion, we need to consider
pairs of `(N', f')` such that `M ≤ N' ≤ N` and `f'` extends `f`. -/
structure ExtensionOf extends LinearPMap R N Q where
le : LinearMap.range i ≤ domain
is_extension : ∀ m : M, f m = toLinearPMap ⟨i m, le ⟨m, rfl⟩⟩
set_option linter.uppercaseLean3 false in
#align module.Baer.extension_of Module.Baer.ExtensionOf
section Ext
variable {i f}
@[ext]
| Mathlib/Algebra/Module/Injective.lean | 112 | 119 | theorem ExtensionOf.ext {a b : ExtensionOf i f} (domain_eq : a.domain = b.domain)
(to_fun_eq :
∀ ⦃x : a.domain⦄ ⦃y : b.domain⦄, (x : N) = y → a.toLinearPMap x = b.toLinearPMap y) :
a = b := by |
rcases a with ⟨a, a_le, e1⟩
rcases b with ⟨b, b_le, e2⟩
congr
exact LinearPMap.ext domain_eq to_fun_eq
|
/-
Copyright (c) 2022 Jireh Loreaux. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jireh Loreaux
-/
import Mathlib.Analysis.NormedSpace.Star.Spectrum
import Mathlib.Analysis.Normed.Group.Quotient
import Mathlib.Analysis.NormedSpace.Algebra
import Mathlib.Topology.ContinuousFunction.Units
import Mathlib.Topology.ContinuousFunction.Compact
import Mathlib.Topology.Algebra.Algebra
import Mathlib.Topology.ContinuousFunction.Ideals
import Mathlib.Topology.ContinuousFunction.StoneWeierstrass
#align_import analysis.normed_space.star.gelfand_duality from "leanprover-community/mathlib"@"e65771194f9e923a70dfb49b6ca7be6e400d8b6f"
/-!
# Gelfand Duality
The `gelfandTransform` is an algebra homomorphism from a topological `𝕜`-algebra `A` to
`C(characterSpace 𝕜 A, 𝕜)`. In the case where `A` is a commutative complex Banach algebra, then
the Gelfand transform is actually spectrum-preserving (`spectrum.gelfandTransform_eq`). Moreover,
when `A` is a commutative C⋆-algebra over `ℂ`, then the Gelfand transform is a surjective isometry,
and even an equivalence between C⋆-algebras.
Consider the contravariant functors between compact Hausdorff spaces and commutative unital
C⋆algebras `F : Cpct → CommCStarAlg := X ↦ C(X, ℂ)` and
`G : CommCStarAlg → Cpct := A → characterSpace ℂ A` whose actions on morphisms are given by
`WeakDual.CharacterSpace.compContinuousMap` and `ContinuousMap.compStarAlgHom'`, respectively.
Then `η₁ : id → F ∘ G := gelfandStarTransform` and
`η₂ : id → G ∘ F := WeakDual.CharacterSpace.homeoEval` are the natural isomorphisms implementing
**Gelfand Duality**, i.e., the (contravariant) equivalence of these categories.
## Main definitions
* `Ideal.toCharacterSpace` : constructs an element of the character space from a maximal ideal in
a commutative complex Banach algebra
* `WeakDual.CharacterSpace.compContinuousMap`: The functorial map taking `ψ : A →⋆ₐ[𝕜] B` to a
continuous function `characterSpace 𝕜 B → characterSpace 𝕜 A` given by pre-composition with `ψ`.
## Main statements
* `spectrum.gelfandTransform_eq` : the Gelfand transform is spectrum-preserving when the algebra is
a commutative complex Banach algebra.
* `gelfandTransform_isometry` : the Gelfand transform is an isometry when the algebra is a
commutative (unital) C⋆-algebra over `ℂ`.
* `gelfandTransform_bijective` : the Gelfand transform is bijective when the algebra is a
commutative (unital) C⋆-algebra over `ℂ`.
* `gelfandStarTransform_naturality`: The `gelfandStarTransform` is a natural isomorphism
* `WeakDual.CharacterSpace.homeoEval_naturality`: This map implements a natural isomorphism
## TODO
* After defining the category of commutative unital C⋆-algebras, bundle the existing unbundled
**Gelfand duality** into an actual equivalence (duality) of categories associated to the
functors `C(·, ℂ)` and `characterSpace ℂ ·` and the natural isomorphisms `gelfandStarTransform`
and `WeakDual.CharacterSpace.homeoEval`.
## Tags
Gelfand transform, character space, C⋆-algebra
-/
open WeakDual
open scoped NNReal
section ComplexBanachAlgebra
open Ideal
variable {A : Type*} [NormedCommRing A] [NormedAlgebra ℂ A] [CompleteSpace A] (I : Ideal A)
[Ideal.IsMaximal I]
/-- Every maximal ideal in a commutative complex Banach algebra gives rise to a character on that
algebra. In particular, the character, which may be identified as an algebra homomorphism due to
`WeakDual.CharacterSpace.equivAlgHom`, is given by the composition of the quotient map and
the Gelfand-Mazur isomorphism `NormedRing.algEquivComplexOfComplete`. -/
noncomputable def Ideal.toCharacterSpace : characterSpace ℂ A :=
CharacterSpace.equivAlgHom.symm <|
((NormedRing.algEquivComplexOfComplete
(letI := Quotient.field I; isUnit_iff_ne_zero (G₀ := A ⧸ I))).symm : A ⧸ I →ₐ[ℂ] ℂ).comp <|
Quotient.mkₐ ℂ I
#align ideal.to_character_space Ideal.toCharacterSpace
theorem Ideal.toCharacterSpace_apply_eq_zero_of_mem {a : A} (ha : a ∈ I) :
I.toCharacterSpace a = 0 := by
unfold Ideal.toCharacterSpace
simp only [CharacterSpace.equivAlgHom_symm_coe, AlgHom.coe_comp, AlgHom.coe_coe,
Quotient.mkₐ_eq_mk, Function.comp_apply, NormedRing.algEquivComplexOfComplete_symm_apply]
simp_rw [Quotient.eq_zero_iff_mem.mpr ha, spectrum.zero_eq]
exact Set.eq_of_mem_singleton (Set.singleton_nonempty (0 : ℂ)).some_mem
#align ideal.to_character_space_apply_eq_zero_of_mem Ideal.toCharacterSpace_apply_eq_zero_of_mem
/-- If `a : A` is not a unit, then some character takes the value zero at `a`. This is equivalent
to `gelfandTransform ℂ A a` takes the value zero at some character. -/
theorem WeakDual.CharacterSpace.exists_apply_eq_zero {a : A} (ha : ¬IsUnit a) :
∃ f : characterSpace ℂ A, f a = 0 := by
obtain ⟨M, hM, haM⟩ := (span {a}).exists_le_maximal (span_singleton_ne_top ha)
exact
⟨M.toCharacterSpace,
M.toCharacterSpace_apply_eq_zero_of_mem
(haM (mem_span_singleton.mpr ⟨1, (mul_one a).symm⟩))⟩
#align weak_dual.character_space.exists_apply_eq_zero WeakDual.CharacterSpace.exists_apply_eq_zero
| Mathlib/Analysis/NormedSpace/Star/GelfandDuality.lean | 108 | 115 | theorem WeakDual.CharacterSpace.mem_spectrum_iff_exists {a : A} {z : ℂ} :
z ∈ spectrum ℂ a ↔ ∃ f : characterSpace ℂ A, f a = z := by |
refine ⟨fun hz => ?_, ?_⟩
· obtain ⟨f, hf⟩ := WeakDual.CharacterSpace.exists_apply_eq_zero hz
simp only [map_sub, sub_eq_zero, AlgHomClass.commutes] at hf
exact ⟨_, hf.symm⟩
· rintro ⟨f, rfl⟩
exact AlgHom.apply_mem_spectrum f a
|
/-
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.Finsupp
import Mathlib.Data.Finsupp.Order
import Mathlib.Order.Interval.Finset.Basic
#align_import data.finsupp.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
/-!
# Finite intervals of finitely supported functions
This file provides the `LocallyFiniteOrder` instance for `ι →₀ α` when `α` itself is locally
finite and calculates the cardinality of its finite intervals.
## Main declarations
* `Finsupp.rangeSingleton`: Postcomposition with `Singleton.singleton` on `Finset` as a
`Finsupp`.
* `Finsupp.rangeIcc`: Postcomposition with `Finset.Icc` as a `Finsupp`.
Both these definitions use the fact that `0 = {0}` to ensure that the resulting function is finitely
supported.
-/
noncomputable section
open Finset Finsupp Function
open scoped Classical
open Pointwise
variable {ι α : Type*}
namespace Finsupp
section RangeSingleton
variable [Zero α] {f : ι →₀ α} {i : ι} {a : α}
/-- Pointwise `Singleton.singleton` bundled as a `Finsupp`. -/
@[simps]
def rangeSingleton (f : ι →₀ α) : ι →₀ Finset α where
toFun i := {f i}
support := f.support
mem_support_toFun i := by
rw [← not_iff_not, not_mem_support_iff, not_ne_iff]
exact singleton_injective.eq_iff.symm
#align finsupp.range_singleton Finsupp.rangeSingleton
theorem mem_rangeSingleton_apply_iff : a ∈ f.rangeSingleton i ↔ a = f i :=
mem_singleton
#align finsupp.mem_range_singleton_apply_iff Finsupp.mem_rangeSingleton_apply_iff
end RangeSingleton
section RangeIcc
variable [Zero α] [PartialOrder α] [LocallyFiniteOrder α] {f g : ι →₀ α} {i : ι} {a : α}
/-- Pointwise `Finset.Icc` bundled as a `Finsupp`. -/
@[simps toFun]
def rangeIcc (f g : ι →₀ α) : ι →₀ Finset α where
toFun i := Icc (f i) (g i)
support :=
-- Porting note: Not needed (due to open scoped Classical), in mathlib3 too
-- haveI := Classical.decEq ι
f.support ∪ g.support
mem_support_toFun i := by
rw [mem_union, ← not_iff_not, not_or, not_mem_support_iff, not_mem_support_iff, not_ne_iff]
exact Icc_eq_singleton_iff.symm
#align finsupp.range_Icc Finsupp.rangeIcc
-- Porting note: Added as alternative to rangeIcc_toFun to be used in proof of card_Icc
lemma coe_rangeIcc (f g : ι →₀ α) : rangeIcc f g i = Icc (f i) (g i) := rfl
@[simp]
theorem rangeIcc_support (f g : ι →₀ α) :
(rangeIcc f g).support = f.support ∪ g.support := rfl
#align finsupp.range_Icc_support Finsupp.rangeIcc_support
theorem mem_rangeIcc_apply_iff : a ∈ f.rangeIcc g i ↔ f i ≤ a ∧ a ≤ g i := mem_Icc
#align finsupp.mem_range_Icc_apply_iff Finsupp.mem_rangeIcc_apply_iff
end RangeIcc
section PartialOrder
variable [PartialOrder α] [Zero α] [LocallyFiniteOrder α] (f g : ι →₀ α)
instance instLocallyFiniteOrder : LocallyFiniteOrder (ι →₀ α) :=
-- Porting note: Not needed (due to open scoped Classical), in mathlib3 too
-- haveI := Classical.decEq ι
-- haveI := Classical.decEq α
LocallyFiniteOrder.ofIcc (ι →₀ α) (fun f g => (f.support ∪ g.support).finsupp <| f.rangeIcc g)
fun f g x => by
refine
(mem_finsupp_iff_of_support_subset <| Finset.subset_of_eq <| rangeIcc_support _ _).trans ?_
simp_rw [mem_rangeIcc_apply_iff]
exact forall_and
theorem Icc_eq : Icc f g = (f.support ∪ g.support).finsupp (f.rangeIcc g) := rfl
#align finsupp.Icc_eq Finsupp.Icc_eq
-- Porting note: removed [DecidableEq ι]
theorem card_Icc : (Icc f g).card = ∏ i ∈ f.support ∪ g.support, (Icc (f i) (g i)).card := by
simp_rw [Icc_eq, card_finsupp, coe_rangeIcc]
#align finsupp.card_Icc Finsupp.card_Icc
-- Porting note: removed [DecidableEq ι]
theorem card_Ico : (Ico f g).card = (∏ i ∈ f.support ∪ g.support, (Icc (f i) (g i)).card) - 1 := by
rw [card_Ico_eq_card_Icc_sub_one, card_Icc]
#align finsupp.card_Ico Finsupp.card_Ico
-- Porting note: removed [DecidableEq ι]
| Mathlib/Data/Finsupp/Interval.lean | 118 | 119 | theorem card_Ioc : (Ioc f g).card = (∏ i ∈ f.support ∪ g.support, (Icc (f i) (g i)).card) - 1 := by |
rw [card_Ioc_eq_card_Icc_sub_one, card_Icc]
|
/-
Copyright (c) 2021 Yakov Pechersky. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yakov Pechersky
-/
import Mathlib.Algebra.Order.Group.Nat
import Mathlib.Data.List.Rotate
import Mathlib.GroupTheory.Perm.Support
#align_import group_theory.perm.list from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
/-!
# Permutations from a list
A list `l : List α` can be interpreted as an `Equiv.Perm α` where each element in the list
is permuted to the next one, defined as `formPerm`. When we have that `Nodup l`,
we prove that `Equiv.Perm.support (formPerm l) = l.toFinset`, and that
`formPerm l` is rotationally invariant, in `formPerm_rotate`.
When there are duplicate elements in `l`, how and in what arrangement with respect to the other
elements they appear in the list determines the formed permutation.
This is because `List.formPerm` is implemented as a product of `Equiv.swap`s.
That means that presence of a sublist of two adjacent duplicates like `[..., x, x, ...]`
will produce the same permutation as if the adjacent duplicates were not present.
The `List.formPerm` definition is meant to primarily be used with `Nodup l`, so that
the resulting permutation is cyclic (if `l` has at least two elements).
The presence of duplicates in a particular placement can lead `List.formPerm` to produce a
nontrivial permutation that is noncyclic.
-/
namespace List
variable {α β : Type*}
section FormPerm
variable [DecidableEq α] (l : List α)
open Equiv Equiv.Perm
/-- A list `l : List α` can be interpreted as an `Equiv.Perm α` where each element in the list
is permuted to the next one, defined as `formPerm`. When we have that `Nodup l`,
we prove that `Equiv.Perm.support (formPerm l) = l.toFinset`, and that
`formPerm l` is rotationally invariant, in `formPerm_rotate`.
-/
def formPerm : Equiv.Perm α :=
(zipWith Equiv.swap l l.tail).prod
#align list.form_perm List.formPerm
@[simp]
theorem formPerm_nil : formPerm ([] : List α) = 1 :=
rfl
#align list.form_perm_nil List.formPerm_nil
@[simp]
theorem formPerm_singleton (x : α) : formPerm [x] = 1 :=
rfl
#align list.form_perm_singleton List.formPerm_singleton
@[simp]
theorem formPerm_cons_cons (x y : α) (l : List α) :
formPerm (x :: y :: l) = swap x y * formPerm (y :: l) :=
prod_cons
#align list.form_perm_cons_cons List.formPerm_cons_cons
theorem formPerm_pair (x y : α) : formPerm [x, y] = swap x y :=
rfl
#align list.form_perm_pair List.formPerm_pair
theorem mem_or_mem_of_zipWith_swap_prod_ne : ∀ {l l' : List α} {x : α},
(zipWith swap l l').prod x ≠ x → x ∈ l ∨ x ∈ l'
| [], _, _ => by simp
| _, [], _ => by simp
| a::l, b::l', x => fun hx ↦
if h : (zipWith swap l l').prod x = x then
(eq_or_eq_of_swap_apply_ne_self (by simpa [h] using hx)).imp
(by rintro rfl; exact .head _) (by rintro rfl; exact .head _)
else
(mem_or_mem_of_zipWith_swap_prod_ne h).imp (.tail _) (.tail _)
theorem zipWith_swap_prod_support' (l l' : List α) :
{ x | (zipWith swap l l').prod x ≠ x } ≤ l.toFinset ⊔ l'.toFinset := fun _ h ↦ by
simpa using mem_or_mem_of_zipWith_swap_prod_ne h
#align list.zip_with_swap_prod_support' List.zipWith_swap_prod_support'
theorem zipWith_swap_prod_support [Fintype α] (l l' : List α) :
(zipWith swap l l').prod.support ≤ l.toFinset ⊔ l'.toFinset := by
intro x hx
have hx' : x ∈ { x | (zipWith swap l l').prod x ≠ x } := by simpa using hx
simpa using zipWith_swap_prod_support' _ _ hx'
#align list.zip_with_swap_prod_support List.zipWith_swap_prod_support
theorem support_formPerm_le' : { x | formPerm l x ≠ x } ≤ l.toFinset := by
refine (zipWith_swap_prod_support' l l.tail).trans ?_
simpa [Finset.subset_iff] using tail_subset l
#align list.support_form_perm_le' List.support_formPerm_le'
theorem support_formPerm_le [Fintype α] : support (formPerm l) ≤ l.toFinset := by
intro x hx
have hx' : x ∈ { x | formPerm l x ≠ x } := by simpa using hx
simpa using support_formPerm_le' _ hx'
#align list.support_form_perm_le List.support_formPerm_le
variable {l} {x : α}
| Mathlib/GroupTheory/Perm/List.lean | 108 | 109 | theorem mem_of_formPerm_apply_ne (h : l.formPerm x ≠ x) : x ∈ l := by |
simpa [or_iff_left_of_imp mem_of_mem_tail] using mem_or_mem_of_zipWith_swap_prod_ne h
|
/-
Copyright (c) 2023 Antoine Chambert-Loir. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Antoine Chambert-Loir
-/
import Mathlib.Algebra.Exact
import Mathlib.RingTheory.TensorProduct.Basic
/-! # Right-exactness properties of tensor product
## Modules
* `LinearMap.rTensor_surjective` asserts that when one tensors
a surjective map on the right, one still gets a surjective linear map.
More generally, `LinearMap.rTensor_range` computes the range of
`LinearMap.rTensor`
* `LinearMap.lTensor_surjective` asserts that when one tensors
a surjective map on the left, one still gets a surjective linear map.
More generally, `LinearMap.lTensor_range` computes the range of
`LinearMap.lTensor`
* `TensorProduct.rTensor_exact` says that when one tensors a short exact
sequence on the right, one still gets a short exact sequence
(right-exactness of `TensorProduct.rTensor`),
and `rTensor.equiv` gives the LinearEquiv that follows from this
combined with `LinearMap.rTensor_surjective`.
* `TensorProduct.lTensor_exact` says that when one tensors a short exact
sequence on the left, one still gets a short exact sequence
(right-exactness of `TensorProduct.rTensor`)
and `lTensor.equiv` gives the LinearEquiv that follows from this
combined with `LinearMap.lTensor_surjective`.
* For `N : Submodule R M`, `LinearMap.exact_subtype_mkQ N` says that
the inclusion of the submodule and the quotient map form an exact pair,
and `lTensor_mkQ` compute `ker (lTensor Q (N.mkQ))` and similarly for `rTensor_mkQ`
* `TensorProduct.map_ker` computes the kernel of `TensorProduct.map f g'`
in the presence of two short exact sequences.
The proofs are those of [bourbaki1989] (chap. 2, §3, n°6)
## Algebras
In the case of a tensor product of algebras, these results can be particularized
to compute some kernels.
* `Algebra.TensorProduct.ker_map` computes the kernel of `Algebra.TensorProduct.map f g`
* `Algebra.TensorProduct.lTensor_ker` and `Algebra.TensorProduct.rTensor_ker`
compute the kernels of `Algebra.TensorProduct.map f id` and `Algebra.TensorProduct.map id g`
## Note on implementation
* All kernels are computed by applying the first isomorphism theorem and
establishing some isomorphisms.
* The proofs are essentially done twice,
once for `lTensor` and then for `rTensor`.
It is possible to apply `TensorProduct.flip` to deduce one of them
from the other.
However, this approach will lead to different isomorphisms,
and it is not quicker.
* The proofs of `Ideal.map_includeLeft_eq` and `Ideal.map_includeRight_eq`
could be easier if `I ⊗[R] B` was naturally an `A ⊗[R] B` module,
and the map to `A ⊗[R] B` was known to be linear.
This depends on the B-module structure on a tensor product
whose use rapidly conflicts with everything…
## TODO
* Treat the noncommutative case
* Treat the case of modules over semirings
(For a possible definition of an exact sequence of commutative semigroups, see
[Grillet-1969b], Pierre-Antoine Grillet,
*The tensor product of commutative semigroups*,
Trans. Amer. Math. Soc. 138 (1969), 281-293, doi:10.1090/S0002-9947-1969-0237688-1 .)
-/
section Modules
open TensorProduct LinearMap
section Semiring
variable {R : Type*} [CommSemiring R] {M N P Q: Type*}
[AddCommMonoid M] [AddCommMonoid N] [AddCommMonoid P] [AddCommMonoid Q]
[Module R M] [Module R N] [Module R P] [Module R Q]
{f : M →ₗ[R] N} (g : N →ₗ[R] P)
lemma le_comap_range_lTensor (q : Q) :
LinearMap.range g ≤ (LinearMap.range (lTensor Q g)).comap (TensorProduct.mk R Q P q) := by
rintro x ⟨n, rfl⟩
exact ⟨q ⊗ₜ[R] n, rfl⟩
lemma le_comap_range_rTensor (q : Q) :
LinearMap.range g ≤ (LinearMap.range (rTensor Q g)).comap
((TensorProduct.mk R P Q).flip q) := by
rintro x ⟨n, rfl⟩
exact ⟨n ⊗ₜ[R] q, rfl⟩
variable (Q) {g}
/-- If `g` is surjective, then `lTensor Q g` is surjective -/
theorem LinearMap.lTensor_surjective (hg : Function.Surjective g) :
Function.Surjective (lTensor Q g) := by
intro z
induction z using TensorProduct.induction_on with
| zero => exact ⟨0, map_zero _⟩
| tmul q p =>
obtain ⟨n, rfl⟩ := hg p
exact ⟨q ⊗ₜ[R] n, rfl⟩
| add x y hx hy =>
obtain ⟨x, rfl⟩ := hx
obtain ⟨y, rfl⟩ := hy
exact ⟨x + y, map_add _ _ _⟩
theorem LinearMap.lTensor_range :
range (lTensor Q g) =
range (lTensor Q (Submodule.subtype (range g))) := by
have : g = (Submodule.subtype _).comp g.rangeRestrict := rfl
nth_rewrite 1 [this]
rw [lTensor_comp]
apply range_comp_of_range_eq_top
rw [range_eq_top]
apply lTensor_surjective
rw [← range_eq_top, range_rangeRestrict]
/-- If `g` is surjective, then `rTensor Q g` is surjective -/
| Mathlib/LinearAlgebra/TensorProduct/RightExactness.lean | 136 | 147 | theorem LinearMap.rTensor_surjective (hg : Function.Surjective g) :
Function.Surjective (rTensor Q g) := by |
intro z
induction z using TensorProduct.induction_on with
| zero => exact ⟨0, map_zero _⟩
| tmul p q =>
obtain ⟨n, rfl⟩ := hg p
exact ⟨n ⊗ₜ[R] q, rfl⟩
| add x y hx hy =>
obtain ⟨x, rfl⟩ := hx
obtain ⟨y, rfl⟩ := hy
exact ⟨x + y, map_add _ _ _⟩
|
/-
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.TensorProduct.Basic
import Mathlib.Algebra.Module.ULift
#align_import ring_theory.is_tensor_product from "leanprover-community/mathlib"@"c4926d76bb9c5a4a62ed2f03d998081786132105"
/-!
# The characteristic predicate of tensor product
## Main definitions
- `IsTensorProduct`: A predicate on `f : M₁ →ₗ[R] M₂ →ₗ[R] M` expressing that `f` realizes `M` as
the tensor product of `M₁ ⊗[R] M₂`. This is defined by requiring the lift `M₁ ⊗[R] M₂ → M` to be
bijective.
- `IsBaseChange`: A predicate on an `R`-algebra `S` and a map `f : M →ₗ[R] N` with `N` being an
`S`-module, expressing that `f` realizes `N` as the base change of `M` along `R → S`.
- `Algebra.IsPushout`: A predicate on the following diagram of scalar towers
```
R → S
↓ ↓
R' → S'
```
asserting that is a pushout diagram (i.e. `S' = S ⊗[R] R'`)
## Main results
- `TensorProduct.isBaseChange`: `S ⊗[R] M` is the base change of `M` along `R → S`.
-/
universe u v₁ v₂ v₃ v₄
open TensorProduct
section IsTensorProduct
variable {R : Type*} [CommSemiring R]
variable {M₁ M₂ M M' : Type*}
variable [AddCommMonoid M₁] [AddCommMonoid M₂] [AddCommMonoid M] [AddCommMonoid M']
variable [Module R M₁] [Module R M₂] [Module R M] [Module R M']
variable (f : M₁ →ₗ[R] M₂ →ₗ[R] M)
variable {N₁ N₂ N : Type*} [AddCommMonoid N₁] [AddCommMonoid N₂] [AddCommMonoid N]
variable [Module R N₁] [Module R N₂] [Module R N]
variable {g : N₁ →ₗ[R] N₂ →ₗ[R] N}
/-- Given a bilinear map `f : M₁ →ₗ[R] M₂ →ₗ[R] M`, `IsTensorProduct f` means that
`M` is the tensor product of `M₁` and `M₂` via `f`.
This is defined by requiring the lift `M₁ ⊗[R] M₂ → M` to be bijective.
-/
def IsTensorProduct : Prop :=
Function.Bijective (TensorProduct.lift f)
#align is_tensor_product IsTensorProduct
variable (R M N) {f}
theorem TensorProduct.isTensorProduct : IsTensorProduct (TensorProduct.mk R M N) := by
delta IsTensorProduct
convert_to Function.Bijective (LinearMap.id : M ⊗[R] N →ₗ[R] M ⊗[R] N) using 2
· apply TensorProduct.ext'
simp
· exact Function.bijective_id
#align tensor_product.is_tensor_product TensorProduct.isTensorProduct
variable {R M N}
/-- If `M` is the tensor product of `M₁` and `M₂`, it is linearly equivalent to `M₁ ⊗[R] M₂`. -/
@[simps! apply]
noncomputable def IsTensorProduct.equiv (h : IsTensorProduct f) : M₁ ⊗[R] M₂ ≃ₗ[R] M :=
LinearEquiv.ofBijective _ h
#align is_tensor_product.equiv IsTensorProduct.equiv
@[simp]
theorem IsTensorProduct.equiv_toLinearMap (h : IsTensorProduct f) :
h.equiv.toLinearMap = TensorProduct.lift f :=
rfl
#align is_tensor_product.equiv_to_linear_map IsTensorProduct.equiv_toLinearMap
@[simp]
theorem IsTensorProduct.equiv_symm_apply (h : IsTensorProduct f) (x₁ : M₁) (x₂ : M₂) :
h.equiv.symm (f x₁ x₂) = x₁ ⊗ₜ x₂ := by
apply h.equiv.injective
refine (h.equiv.apply_symm_apply _).trans ?_
simp
#align is_tensor_product.equiv_symm_apply IsTensorProduct.equiv_symm_apply
/-- If `M` is the tensor product of `M₁` and `M₂`, we may lift a bilinear map `M₁ →ₗ[R] M₂ →ₗ[R] M'`
to a `M →ₗ[R] M'`. -/
noncomputable def IsTensorProduct.lift (h : IsTensorProduct f) (f' : M₁ →ₗ[R] M₂ →ₗ[R] M') :
M →ₗ[R] M' :=
(TensorProduct.lift f').comp h.equiv.symm.toLinearMap
#align is_tensor_product.lift IsTensorProduct.lift
| Mathlib/RingTheory/IsTensorProduct.lean | 97 | 100 | theorem IsTensorProduct.lift_eq (h : IsTensorProduct f) (f' : M₁ →ₗ[R] M₂ →ₗ[R] M') (x₁ : M₁)
(x₂ : M₂) : h.lift f' (f x₁ x₂) = f' x₁ x₂ := by |
delta IsTensorProduct.lift
simp
|
/-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Data.Sigma.Lex
import Mathlib.Order.BoundedOrder
import Mathlib.Mathport.Notation
import Mathlib.Data.Sigma.Basic
#align_import data.sigma.order from "leanprover-community/mathlib"@"1fc36cc9c8264e6e81253f88be7fb2cb6c92d76a"
/-!
# Orders on a sigma type
This file defines two orders on a sigma type:
* The disjoint sum of orders. `a` is less `b` iff `a` and `b` are in the same summand and `a` is
less than `b` there.
* The lexicographical order. `a` is less than `b` if its summand is strictly less than the summand
of `b` or they are in the same summand and `a` is less than `b` there.
We make the disjoint sum of orders the default set of instances. The lexicographic order goes on a
type synonym.
## Notation
* `_root_.Lex (Sigma α)`: Sigma type equipped with the lexicographic order.
Type synonym of `Σ i, α i`.
## See also
Related files are:
* `Data.Finset.CoLex`: Colexicographic order on finite sets.
* `Data.List.Lex`: Lexicographic order on lists.
* `Data.Pi.Lex`: Lexicographic order on `Πₗ i, α i`.
* `Data.PSigma.Order`: Lexicographic order on `Σₗ' i, α i`. Basically a twin of this file.
* `Data.Prod.Lex`: Lexicographic order on `α × β`.
## TODO
Upgrade `Equiv.sigma_congr_left`, `Equiv.sigma_congr`, `Equiv.sigma_assoc`,
`Equiv.sigma_prod_of_equiv`, `Equiv.sigma_equiv_prod`, ... to order isomorphisms.
-/
namespace Sigma
variable {ι : Type*} {α : ι → Type*}
/-! ### Disjoint sum of orders on `Sigma` -/
-- Porting note: I made this `le` instead of `LE` because the output type is `Prop`
/-- Disjoint sum of orders. `⟨i, a⟩ ≤ ⟨j, b⟩` iff `i = j` and `a ≤ b`. -/
protected inductive le [∀ i, LE (α i)] : ∀ _a _b : Σ i, α i, Prop
| fiber (i : ι) (a b : α i) : a ≤ b → Sigma.le ⟨i, a⟩ ⟨i, b⟩
#align sigma.le Sigma.le
/-- Disjoint sum of orders. `⟨i, a⟩ < ⟨j, b⟩` iff `i = j` and `a < b`. -/
protected inductive lt [∀ i, LT (α i)] : ∀ _a _b : Σi, α i, Prop
| fiber (i : ι) (a b : α i) : a < b → Sigma.lt ⟨i, a⟩ ⟨i, b⟩
#align sigma.lt Sigma.lt
protected instance LE [∀ i, LE (α i)] : LE (Σi, α i) where
le := Sigma.le
protected instance LT [∀ i, LT (α i)] : LT (Σi, α i) where
lt := Sigma.lt
@[simp]
theorem mk_le_mk_iff [∀ i, LE (α i)] {i : ι} {a b : α i} : (⟨i, a⟩ : Sigma α) ≤ ⟨i, b⟩ ↔ a ≤ b :=
⟨fun ⟨_, _, _, h⟩ => h, Sigma.le.fiber _ _ _⟩
#align sigma.mk_le_mk_iff Sigma.mk_le_mk_iff
@[simp]
theorem mk_lt_mk_iff [∀ i, LT (α i)] {i : ι} {a b : α i} : (⟨i, a⟩ : Sigma α) < ⟨i, b⟩ ↔ a < b :=
⟨fun ⟨_, _, _, h⟩ => h, Sigma.lt.fiber _ _ _⟩
#align sigma.mk_lt_mk_iff Sigma.mk_lt_mk_iff
| Mathlib/Data/Sigma/Order.lean | 79 | 86 | theorem le_def [∀ i, LE (α i)] {a b : Σi, α i} : a ≤ b ↔ ∃ h : a.1 = b.1, h.rec a.2 ≤ b.2 := by |
constructor
· rintro ⟨i, a, b, h⟩
exact ⟨rfl, h⟩
· obtain ⟨i, a⟩ := a
obtain ⟨j, b⟩ := b
rintro ⟨rfl : i = j, h⟩
exact le.fiber _ _ _ h
|
/-
Copyright (c) 2019 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison
-/
import Mathlib.Algebra.Group.Pi.Basic
import Mathlib.CategoryTheory.Limits.Shapes.Products
import Mathlib.CategoryTheory.Limits.Shapes.Images
import Mathlib.CategoryTheory.IsomorphismClasses
import Mathlib.CategoryTheory.Limits.Shapes.ZeroObjects
#align_import category_theory.limits.shapes.zero_morphisms from "leanprover-community/mathlib"@"f7707875544ef1f81b32cb68c79e0e24e45a0e76"
/-!
# Zero morphisms and zero objects
A category "has zero morphisms" if there is a designated "zero morphism" in each morphism space,
and compositions of zero morphisms with anything give the zero morphism. (Notice this is extra
structure, not merely a property.)
A category "has a zero object" if it has an object which is both initial and terminal. Having a
zero object provides zero morphisms, as the unique morphisms factoring through the zero object.
## References
* https://en.wikipedia.org/wiki/Zero_morphism
* [F. Borceux, *Handbook of Categorical Algebra 2*][borceux-vol2]
-/
noncomputable section
universe v u
universe v' u'
open CategoryTheory
open CategoryTheory.Category
open scoped Classical
namespace CategoryTheory.Limits
variable (C : Type u) [Category.{v} C]
variable (D : Type u') [Category.{v'} D]
/-- A category "has zero morphisms" if there is a designated "zero morphism" in each morphism space,
and compositions of zero morphisms with anything give the zero morphism. -/
class HasZeroMorphisms where
/-- Every morphism space has zero -/
[zero : ∀ X Y : C, Zero (X ⟶ Y)]
/-- `f` composed with `0` is `0` -/
comp_zero : ∀ {X Y : C} (f : X ⟶ Y) (Z : C), f ≫ (0 : Y ⟶ Z) = (0 : X ⟶ Z) := by aesop_cat
/-- `0` composed with `f` is `0` -/
zero_comp : ∀ (X : C) {Y Z : C} (f : Y ⟶ Z), (0 : X ⟶ Y) ≫ f = (0 : X ⟶ Z) := by aesop_cat
#align category_theory.limits.has_zero_morphisms CategoryTheory.Limits.HasZeroMorphisms
#align category_theory.limits.has_zero_morphisms.comp_zero' CategoryTheory.Limits.HasZeroMorphisms.comp_zero
#align category_theory.limits.has_zero_morphisms.zero_comp' CategoryTheory.Limits.HasZeroMorphisms.zero_comp
attribute [instance] HasZeroMorphisms.zero
variable {C}
@[simp]
theorem comp_zero [HasZeroMorphisms C] {X Y : C} {f : X ⟶ Y} {Z : C} :
f ≫ (0 : Y ⟶ Z) = (0 : X ⟶ Z) :=
HasZeroMorphisms.comp_zero f Z
#align category_theory.limits.comp_zero CategoryTheory.Limits.comp_zero
@[simp]
theorem zero_comp [HasZeroMorphisms C] {X : C} {Y Z : C} {f : Y ⟶ Z} :
(0 : X ⟶ Y) ≫ f = (0 : X ⟶ Z) :=
HasZeroMorphisms.zero_comp X f
#align category_theory.limits.zero_comp CategoryTheory.Limits.zero_comp
instance hasZeroMorphismsPEmpty : HasZeroMorphisms (Discrete PEmpty) where
zero := by aesop_cat
#align category_theory.limits.has_zero_morphisms_pempty CategoryTheory.Limits.hasZeroMorphismsPEmpty
instance hasZeroMorphismsPUnit : HasZeroMorphisms (Discrete PUnit) where
zero X Y := by repeat (constructor)
#align category_theory.limits.has_zero_morphisms_punit CategoryTheory.Limits.hasZeroMorphismsPUnit
namespace HasZeroMorphisms
/-- This lemma will be immediately superseded by `ext`, below. -/
private theorem ext_aux (I J : HasZeroMorphisms C)
(w : ∀ X Y : C, (I.zero X Y).zero = (J.zero X Y).zero) : I = J := by
have : I.zero = J.zero := by
funext X Y
specialize w X Y
apply congrArg Zero.mk w
cases I; cases J
congr
· apply proof_irrel_heq
· apply proof_irrel_heq
-- Porting note: private def; no align
/-- If you're tempted to use this lemma "in the wild", you should probably
carefully consider whether you've made a mistake in allowing two
instances of `HasZeroMorphisms` to exist at all.
See, particularly, the note on `zeroMorphismsOfZeroObject` below.
-/
theorem ext (I J : HasZeroMorphisms C) : I = J := by
apply ext_aux
intro X Y
have : (I.zero X Y).zero ≫ (J.zero Y Y).zero = (I.zero X Y).zero := by
apply I.zero_comp X (J.zero Y Y).zero
have that : (I.zero X Y).zero ≫ (J.zero Y Y).zero = (J.zero X Y).zero := by
apply J.comp_zero (I.zero X Y).zero Y
rw [← this, ← that]
#align category_theory.limits.has_zero_morphisms.ext CategoryTheory.Limits.HasZeroMorphisms.ext
instance : Subsingleton (HasZeroMorphisms C) :=
⟨ext⟩
end HasZeroMorphisms
open Opposite HasZeroMorphisms
instance hasZeroMorphismsOpposite [HasZeroMorphisms C] : HasZeroMorphisms Cᵒᵖ where
zero X Y := ⟨(0 : unop Y ⟶ unop X).op⟩
comp_zero f Z := congr_arg Quiver.Hom.op (HasZeroMorphisms.zero_comp (unop Z) f.unop)
zero_comp X {Y Z} (f : Y ⟶ Z) :=
congrArg Quiver.Hom.op (HasZeroMorphisms.comp_zero f.unop (unop X))
#align category_theory.limits.has_zero_morphisms_opposite CategoryTheory.Limits.hasZeroMorphismsOpposite
section
variable [HasZeroMorphisms C]
@[simp] lemma op_zero (X Y : C) : (0 : X ⟶ Y).op = 0 := rfl
#align category_theory.op_zero CategoryTheory.Limits.op_zero
@[simp] lemma unop_zero (X Y : Cᵒᵖ) : (0 : X ⟶ Y).unop = 0 := rfl
#align category_theory.unop_zero CategoryTheory.Limits.unop_zero
theorem zero_of_comp_mono {X Y Z : C} {f : X ⟶ Y} (g : Y ⟶ Z) [Mono g] (h : f ≫ g = 0) : f = 0 := by
rw [← zero_comp, cancel_mono] at h
exact h
#align category_theory.limits.zero_of_comp_mono CategoryTheory.Limits.zero_of_comp_mono
| Mathlib/CategoryTheory/Limits/Shapes/ZeroMorphisms.lean | 145 | 147 | theorem zero_of_epi_comp {X Y Z : C} (f : X ⟶ Y) {g : Y ⟶ Z} [Epi f] (h : f ≫ g = 0) : g = 0 := by |
rw [← comp_zero, cancel_epi] at h
exact h
|
/-
Copyright (c) 2021 Heather Macbeth. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Heather Macbeth
-/
import Mathlib.Analysis.MeanInequalities
import Mathlib.Analysis.MeanInequalitiesPow
import Mathlib.Analysis.SpecialFunctions.Pow.Continuity
import Mathlib.Data.Set.Image
import Mathlib.Topology.Algebra.Order.LiminfLimsup
#align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4"
/-!
# ℓp space
This file describes properties of elements `f` of a pi-type `∀ i, E i` with finite "norm",
defined for `p : ℝ≥0∞` as the size of the support of `f` if `p=0`, `(∑' a, ‖f a‖^p) ^ (1/p)` for
`0 < p < ∞` and `⨆ a, ‖f a‖` for `p=∞`.
The Prop-valued `Memℓp f p` states that a function `f : ∀ i, E i` has finite norm according
to the above definition; that is, `f` has finite support if `p = 0`, `Summable (fun a ↦ ‖f a‖^p)` if
`0 < p < ∞`, and `BddAbove (norm '' (Set.range f))` if `p = ∞`.
The space `lp E p` is the subtype of elements of `∀ i : α, E i` which satisfy `Memℓp f p`. For
`1 ≤ p`, the "norm" is genuinely a norm and `lp` is a complete metric space.
## Main definitions
* `Memℓp f p` : property that the function `f` satisfies, as appropriate, `f` finitely supported
if `p = 0`, `Summable (fun a ↦ ‖f a‖^p)` if `0 < p < ∞`, and `BddAbove (norm '' (Set.range f))` if
`p = ∞`.
* `lp E p` : elements of `∀ i : α, E i` such that `Memℓp f p`. Defined as an `AddSubgroup` of
a type synonym `PreLp` for `∀ i : α, E i`, and equipped with a `NormedAddCommGroup` structure.
Under appropriate conditions, this is also equipped with the instances `lp.normedSpace`,
`lp.completeSpace`. For `p=∞`, there is also `lp.inftyNormedRing`,
`lp.inftyNormedAlgebra`, `lp.inftyStarRing` and `lp.inftyCstarRing`.
## Main results
* `Memℓp.of_exponent_ge`: For `q ≤ p`, a function which is `Memℓp` for `q` is also `Memℓp` for `p`.
* `lp.memℓp_of_tendsto`, `lp.norm_le_of_tendsto`: A pointwise limit of functions in `lp`, all with
`lp` norm `≤ C`, is itself in `lp` and has `lp` norm `≤ C`.
* `lp.tsum_mul_le_mul_norm`: basic form of Hölder's inequality
## Implementation
Since `lp` is defined as an `AddSubgroup`, dot notation does not work. Use `lp.norm_neg f` to
say that `‖-f‖ = ‖f‖`, instead of the non-working `f.norm_neg`.
## TODO
* More versions of Hölder's inequality (for example: the case `p = 1`, `q = ∞`; a version for normed
rings which has `‖∑' i, f i * g i‖` rather than `∑' i, ‖f i‖ * g i‖` on the RHS; a version for
three exponents satisfying `1 / r = 1 / p + 1 / q`)
-/
noncomputable section
open scoped NNReal ENNReal Function
variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)]
/-!
### `Memℓp` predicate
-/
/-- The property that `f : ∀ i : α, E i`
* is finitely supported, if `p = 0`, or
* admits an upper bound for `Set.range (fun i ↦ ‖f i‖)`, if `p = ∞`, or
* has the series `∑' i, ‖f i‖ ^ p` be summable, if `0 < p < ∞`. -/
def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop :=
if p = 0 then Set.Finite { i | f i ≠ 0 }
else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖)
else Summable fun i => ‖f i‖ ^ p.toReal
#align mem_ℓp Memℓp
theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by
dsimp [Memℓp]
rw [if_pos rfl]
#align mem_ℓp_zero_iff memℓp_zero_iff
theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 :=
memℓp_zero_iff.2 hf
#align mem_ℓp_zero memℓp_zero
theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by
dsimp [Memℓp]
rw [if_neg ENNReal.top_ne_zero, if_pos rfl]
#align mem_ℓp_infty_iff memℓp_infty_iff
theorem memℓp_infty {f : ∀ i, E i} (hf : BddAbove (Set.range fun i => ‖f i‖)) : Memℓp f ∞ :=
memℓp_infty_iff.2 hf
#align mem_ℓp_infty memℓp_infty
theorem memℓp_gen_iff (hp : 0 < p.toReal) {f : ∀ i, E i} :
Memℓp f p ↔ Summable fun i => ‖f i‖ ^ p.toReal := by
rw [ENNReal.toReal_pos_iff] at hp
dsimp [Memℓp]
rw [if_neg hp.1.ne', if_neg hp.2.ne]
#align mem_ℓp_gen_iff memℓp_gen_iff
| Mathlib/Analysis/NormedSpace/lpSpace.lean | 106 | 114 | theorem memℓp_gen {f : ∀ i, E i} (hf : Summable fun i => ‖f i‖ ^ p.toReal) : Memℓp f p := by |
rcases p.trichotomy with (rfl | rfl | hp)
· apply memℓp_zero
have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf
exact (Set.Finite.of_summable_const (by norm_num) H).subset (Set.subset_univ _)
· apply memℓp_infty
have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf
simpa using ((Set.Finite.of_summable_const (by norm_num) H).image fun i => ‖f i‖).bddAbove
exact (memℓp_gen_iff hp).2 hf
|
/-
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.AlgebraMap
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.Algebra.Polynomial.Monic
#align_import data.polynomial.integral_normalization from "leanprover-community/mathlib"@"6f401acf4faec3ab9ab13a42789c4f68064a61cd"
/-!
# Theory of monic polynomials
We define `integralNormalization`, which relate arbitrary polynomials to monic ones.
-/
open Polynomial
namespace Polynomial
universe u v y
variable {R : Type u} {S : Type v} {a b : R} {m n : ℕ} {ι : Type y}
section IntegralNormalization
section Semiring
variable [Semiring R]
/-- If `f : R[X]` is a nonzero polynomial with root `z`, `integralNormalization f` is
a monic polynomial with root `leadingCoeff f * z`.
Moreover, `integralNormalization 0 = 0`.
-/
noncomputable def integralNormalization (f : R[X]) : R[X] :=
∑ i ∈ f.support,
monomial i (if f.degree = i then 1 else coeff f i * f.leadingCoeff ^ (f.natDegree - 1 - i))
#align polynomial.integral_normalization Polynomial.integralNormalization
@[simp]
theorem integralNormalization_zero : integralNormalization (0 : R[X]) = 0 := by
simp [integralNormalization]
#align polynomial.integral_normalization_zero Polynomial.integralNormalization_zero
theorem integralNormalization_coeff {f : R[X]} {i : ℕ} :
(integralNormalization f).coeff i =
if f.degree = i then 1 else coeff f i * f.leadingCoeff ^ (f.natDegree - 1 - i) := by
have : f.coeff i = 0 → f.degree ≠ i := fun hc hd => coeff_ne_zero_of_eq_degree hd hc
simp (config := { contextual := true }) [integralNormalization, coeff_monomial, this,
mem_support_iff]
#align polynomial.integral_normalization_coeff Polynomial.integralNormalization_coeff
theorem integralNormalization_support {f : R[X]} :
(integralNormalization f).support ⊆ f.support := by
intro
simp (config := { contextual := true }) [integralNormalization, coeff_monomial, mem_support_iff]
#align polynomial.integral_normalization_support Polynomial.integralNormalization_support
theorem integralNormalization_coeff_degree {f : R[X]} {i : ℕ} (hi : f.degree = i) :
(integralNormalization f).coeff i = 1 := by rw [integralNormalization_coeff, if_pos hi]
#align polynomial.integral_normalization_coeff_degree Polynomial.integralNormalization_coeff_degree
theorem integralNormalization_coeff_natDegree {f : R[X]} (hf : f ≠ 0) :
(integralNormalization f).coeff (natDegree f) = 1 :=
integralNormalization_coeff_degree (degree_eq_natDegree hf)
#align polynomial.integral_normalization_coeff_nat_degree Polynomial.integralNormalization_coeff_natDegree
theorem integralNormalization_coeff_ne_degree {f : R[X]} {i : ℕ} (hi : f.degree ≠ i) :
coeff (integralNormalization f) i = coeff f i * f.leadingCoeff ^ (f.natDegree - 1 - i) := by
rw [integralNormalization_coeff, if_neg hi]
#align polynomial.integral_normalization_coeff_ne_degree Polynomial.integralNormalization_coeff_ne_degree
theorem integralNormalization_coeff_ne_natDegree {f : R[X]} {i : ℕ} (hi : i ≠ natDegree f) :
coeff (integralNormalization f) i = coeff f i * f.leadingCoeff ^ (f.natDegree - 1 - i) :=
integralNormalization_coeff_ne_degree (degree_ne_of_natDegree_ne hi.symm)
#align polynomial.integral_normalization_coeff_ne_nat_degree Polynomial.integralNormalization_coeff_ne_natDegree
theorem monic_integralNormalization {f : R[X]} (hf : f ≠ 0) : Monic (integralNormalization f) :=
monic_of_degree_le f.natDegree
(Finset.sup_le fun i h =>
WithBot.coe_le_coe.2 <| le_natDegree_of_mem_supp i <| integralNormalization_support h)
(integralNormalization_coeff_natDegree hf)
#align polynomial.monic_integral_normalization Polynomial.monic_integralNormalization
end Semiring
section IsDomain
variable [Ring R] [IsDomain R]
@[simp]
| Mathlib/RingTheory/Polynomial/IntegralNormalization.lean | 95 | 102 | theorem support_integralNormalization {f : R[X]} :
(integralNormalization f).support = f.support := by |
by_cases hf : f = 0; · simp [hf]
ext i
refine ⟨fun h => integralNormalization_support h, ?_⟩
simp only [integralNormalization_coeff, mem_support_iff]
intro hfi
split_ifs with hi <;> simp [hf, hfi, hi]
|
/-
Copyright (c) 2021 Jannis Limperg. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jannis Limperg, Asta Halkjær From
-/
import Aesop.Nanos
import Aesop.Util.UnionFind
import Aesop.Util.UnorderedArraySet
import Batteries.Data.String
import Batteries.Lean.Expr
import Batteries.Lean.Meta.DiscrTree
import Batteries.Lean.PersistentHashSet
import Lean.Meta.Tactic.TryThis
open Lean
open Lean.Meta Lean.Elab.Tactic
namespace Aesop.Array
| .lake/packages/aesop/Aesop/Util/Basic.lean | 21 | 24 | theorem size_modify (a : Array α) (i : Nat) (f : α → α) :
(a.modify i f).size = a.size := by |
simp only [Array.modify, Id.run, Array.modifyM]
split <;> simp
|
/-
Copyright (c) 2021 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Scott Morrison, Adam Topaz
-/
import Mathlib.AlgebraicTopology.SimplexCategory
import Mathlib.CategoryTheory.Comma.Arrow
import Mathlib.CategoryTheory.Limits.FunctorCategory
import Mathlib.CategoryTheory.Opposites
#align_import algebraic_topology.simplicial_object from "leanprover-community/mathlib"@"5ed51dc37c6b891b79314ee11a50adc2b1df6fd6"
/-!
# Simplicial objects in a category.
A simplicial object in a category `C` is a `C`-valued presheaf on `SimplexCategory`.
(Similarly a cosimplicial object is functor `SimplexCategory ⥤ C`.)
Use the notation `X _[n]` in the `Simplicial` locale to obtain the `n`-th term of a
(co)simplicial object `X`, where `n` is a natural number.
-/
open Opposite
open CategoryTheory
open CategoryTheory.Limits
universe v u v' u'
namespace CategoryTheory
variable (C : Type u) [Category.{v} C]
-- porting note (#5171): removed @[nolint has_nonempty_instance]
/-- The category of simplicial objects valued in a category `C`.
This is the category of contravariant functors from `SimplexCategory` to `C`. -/
def SimplicialObject :=
SimplexCategoryᵒᵖ ⥤ C
#align category_theory.simplicial_object CategoryTheory.SimplicialObject
@[simps!]
instance : Category (SimplicialObject C) := by
dsimp only [SimplicialObject]
infer_instance
namespace SimplicialObject
set_option quotPrecheck false in
/-- `X _[n]` denotes the `n`th-term of the simplicial object X -/
scoped[Simplicial]
notation3:1000 X " _[" n "]" =>
(X : CategoryTheory.SimplicialObject _).obj (Opposite.op (SimplexCategory.mk n))
open Simplicial
instance {J : Type v} [SmallCategory J] [HasLimitsOfShape J C] :
HasLimitsOfShape J (SimplicialObject C) := by
dsimp [SimplicialObject]
infer_instance
instance [HasLimits C] : HasLimits (SimplicialObject C) :=
⟨inferInstance⟩
instance {J : Type v} [SmallCategory J] [HasColimitsOfShape J C] :
HasColimitsOfShape J (SimplicialObject C) := by
dsimp [SimplicialObject]
infer_instance
instance [HasColimits C] : HasColimits (SimplicialObject C) :=
⟨inferInstance⟩
variable {C}
-- Porting note (#10688): added to ease automation
@[ext]
lemma hom_ext {X Y : SimplicialObject C} (f g : X ⟶ Y)
(h : ∀ (n : SimplexCategoryᵒᵖ), f.app n = g.app n) : f = g :=
NatTrans.ext _ _ (by ext; apply h)
variable (X : SimplicialObject C)
/-- Face maps for a simplicial object. -/
def δ {n} (i : Fin (n + 2)) : X _[n + 1] ⟶ X _[n] :=
X.map (SimplexCategory.δ i).op
#align category_theory.simplicial_object.δ CategoryTheory.SimplicialObject.δ
/-- Degeneracy maps for a simplicial object. -/
def σ {n} (i : Fin (n + 1)) : X _[n] ⟶ X _[n + 1] :=
X.map (SimplexCategory.σ i).op
#align category_theory.simplicial_object.σ CategoryTheory.SimplicialObject.σ
/-- Isomorphisms from identities in ℕ. -/
def eqToIso {n m : ℕ} (h : n = m) : X _[n] ≅ X _[m] :=
X.mapIso (CategoryTheory.eqToIso (by congr))
#align category_theory.simplicial_object.eq_to_iso CategoryTheory.SimplicialObject.eqToIso
@[simp]
| Mathlib/AlgebraicTopology/SimplicialObject.lean | 100 | 102 | theorem eqToIso_refl {n : ℕ} (h : n = n) : X.eqToIso h = Iso.refl _ := by |
ext
simp [eqToIso]
|
/-
Copyright (c) 2018 . All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Thomas Browning
-/
import Mathlib.Data.ZMod.Basic
import Mathlib.GroupTheory.Index
import Mathlib.GroupTheory.GroupAction.ConjAct
import Mathlib.GroupTheory.GroupAction.Quotient
import Mathlib.GroupTheory.Perm.Cycle.Type
import Mathlib.GroupTheory.SpecificGroups.Cyclic
import Mathlib.Tactic.IntervalCases
#align_import group_theory.p_group from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
/-!
# p-groups
This file contains a proof that if `G` is a `p`-group acting on a finite set `α`,
then the number of fixed points of the action is congruent mod `p` to the cardinality of `α`.
It also contains proofs of some corollaries of this lemma about existence of fixed points.
-/
open Fintype MulAction
variable (p : ℕ) (G : Type*) [Group G]
/-- A p-group is a group in which every element has prime power order -/
def IsPGroup : Prop :=
∀ g : G, ∃ k : ℕ, g ^ p ^ k = 1
#align is_p_group IsPGroup
variable {p} {G}
namespace IsPGroup
theorem iff_orderOf [hp : Fact p.Prime] : IsPGroup p G ↔ ∀ g : G, ∃ k : ℕ, orderOf g = p ^ k :=
forall_congr' fun g =>
⟨fun ⟨k, hk⟩ =>
Exists.imp (fun _ h => h.right)
((Nat.dvd_prime_pow hp.out).mp (orderOf_dvd_of_pow_eq_one hk)),
Exists.imp fun k hk => by rw [← hk, pow_orderOf_eq_one]⟩
#align is_p_group.iff_order_of IsPGroup.iff_orderOf
theorem of_card [Fintype G] {n : ℕ} (hG : card G = p ^ n) : IsPGroup p G := fun g =>
⟨n, by rw [← hG, pow_card_eq_one]⟩
#align is_p_group.of_card IsPGroup.of_card
theorem of_bot : IsPGroup p (⊥ : Subgroup G) :=
of_card (by rw [← Nat.card_eq_fintype_card, Subgroup.card_bot, pow_zero])
#align is_p_group.of_bot IsPGroup.of_bot
theorem iff_card [Fact p.Prime] [Fintype G] : IsPGroup p G ↔ ∃ n : ℕ, card G = p ^ n := by
have hG : card G ≠ 0 := card_ne_zero
refine ⟨fun h => ?_, fun ⟨n, hn⟩ => of_card hn⟩
suffices ∀ q ∈ Nat.factors (card G), q = p by
use (card G).factors.length
rw [← List.prod_replicate, ← List.eq_replicate_of_mem this, Nat.prod_factors hG]
intro q hq
obtain ⟨hq1, hq2⟩ := (Nat.mem_factors hG).mp hq
haveI : Fact q.Prime := ⟨hq1⟩
obtain ⟨g, hg⟩ := exists_prime_orderOf_dvd_card q hq2
obtain ⟨k, hk⟩ := (iff_orderOf.mp h) g
exact (hq1.pow_eq_iff.mp (hg.symm.trans hk).symm).1.symm
#align is_p_group.iff_card IsPGroup.iff_card
alias ⟨exists_card_eq, _⟩ := iff_card
section GIsPGroup
variable (hG : IsPGroup p G)
theorem of_injective {H : Type*} [Group H] (ϕ : H →* G) (hϕ : Function.Injective ϕ) :
IsPGroup p H := by
simp_rw [IsPGroup, ← hϕ.eq_iff, ϕ.map_pow, ϕ.map_one]
exact fun h => hG (ϕ h)
#align is_p_group.of_injective IsPGroup.of_injective
theorem to_subgroup (H : Subgroup G) : IsPGroup p H :=
hG.of_injective H.subtype Subtype.coe_injective
#align is_p_group.to_subgroup IsPGroup.to_subgroup
| Mathlib/GroupTheory/PGroup.lean | 84 | 87 | theorem of_surjective {H : Type*} [Group H] (ϕ : G →* H) (hϕ : Function.Surjective ϕ) :
IsPGroup p H := by |
refine fun h => Exists.elim (hϕ h) fun g hg => Exists.imp (fun k hk => ?_) (hG g)
rw [← hg, ← ϕ.map_pow, hk, ϕ.map_one]
|
/-
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.Analysis.RCLike.Basic
import Mathlib.Dynamics.BirkhoffSum.Average
/-!
# Birkhoff average in a normed space
In this file we prove some lemmas about the Birkhoff average (`birkhoffAverage`)
of a function which takes values in a normed space over `ℝ` or `ℂ`.
At the time of writing, all lemmas in this file
are motivated by the proof of the von Neumann Mean Ergodic Theorem,
see `LinearIsometry.tendsto_birkhoffAverage_orthogonalProjection`.
-/
open Function Set Filter
open scoped Topology ENNReal Uniformity
section
variable {α E : Type*}
/-- The Birkhoff averages of a function `g` over the orbit of a fixed point `x` of `f`
tend to `g x` as `N → ∞`. In fact, they are equal to `g x` for all `N ≠ 0`,
see `Function.IsFixedPt.birkhoffAverage_eq`.
TODO: add a version for a periodic orbit. -/
theorem Function.IsFixedPt.tendsto_birkhoffAverage
(R : Type*) [DivisionSemiring R] [CharZero R]
[AddCommMonoid E] [TopologicalSpace E] [Module R E]
{f : α → α} {x : α} (h : f.IsFixedPt x) (g : α → E) :
Tendsto (birkhoffAverage R f g · x) atTop (𝓝 (g x)) :=
tendsto_const_nhds.congr' <| (eventually_ne_atTop 0).mono fun _n hn ↦
(h.birkhoffAverage_eq R g hn).symm
variable [NormedAddCommGroup E]
theorem dist_birkhoffSum_apply_birkhoffSum (f : α → α) (g : α → E) (n : ℕ) (x : α) :
dist (birkhoffSum f g n (f x)) (birkhoffSum f g n x) = dist (g (f^[n] x)) (g x) := by
simp only [dist_eq_norm, birkhoffSum_apply_sub_birkhoffSum]
theorem dist_birkhoffSum_birkhoffSum_le (f : α → α) (g : α → E) (n : ℕ) (x y : α) :
dist (birkhoffSum f g n x) (birkhoffSum f g n y) ≤
∑ k ∈ Finset.range n, dist (g (f^[k] x)) (g (f^[k] y)) :=
dist_sum_sum_le _ _ _
variable (𝕜 : Type*) [RCLike 𝕜] [Module 𝕜 E] [BoundedSMul 𝕜 E]
theorem dist_birkhoffAverage_birkhoffAverage (f : α → α) (g : α → E) (n : ℕ) (x y : α) :
dist (birkhoffAverage 𝕜 f g n x) (birkhoffAverage 𝕜 f g n y) =
dist (birkhoffSum f g n x) (birkhoffSum f g n y) / n := by
simp [birkhoffAverage, dist_smul₀, div_eq_inv_mul]
theorem dist_birkhoffAverage_birkhoffAverage_le (f : α → α) (g : α → E) (n : ℕ) (x y : α) :
dist (birkhoffAverage 𝕜 f g n x) (birkhoffAverage 𝕜 f g n y) ≤
(∑ k ∈ Finset.range n, dist (g (f^[k] x)) (g (f^[k] y))) / n :=
(dist_birkhoffAverage_birkhoffAverage _ _ _ _ _ _).trans_le <| by
gcongr; apply dist_birkhoffSum_birkhoffSum_le
theorem dist_birkhoffAverage_apply_birkhoffAverage (f : α → α) (g : α → E) (n : ℕ) (x : α) :
dist (birkhoffAverage 𝕜 f g n (f x)) (birkhoffAverage 𝕜 f g n x) =
dist (g (f^[n] x)) (g x) / n := by
simp [dist_birkhoffAverage_birkhoffAverage, dist_birkhoffSum_apply_birkhoffSum]
/-- If a function `g` is bounded along the positive orbit of `x` under `f`,
then the difference between Birkhoff averages of `g`
along the orbit of `f x` and along the orbit of `x`
tends to zero.
See also `tendsto_birkhoffAverage_apply_sub_birkhoffAverage'`. -/
| Mathlib/Dynamics/BirkhoffSum/NormedSpace.lean | 75 | 84 | theorem tendsto_birkhoffAverage_apply_sub_birkhoffAverage {f : α → α} {g : α → E} {x : α}
(h : Bornology.IsBounded (range (g <| f^[·] x))) :
Tendsto (fun n ↦ birkhoffAverage 𝕜 f g n (f x) - birkhoffAverage 𝕜 f g n x) atTop (𝓝 0) := by |
rcases Metric.isBounded_range_iff.1 h with ⟨C, hC⟩
have : Tendsto (fun n : ℕ ↦ C / n) atTop (𝓝 0) :=
tendsto_const_nhds.div_atTop tendsto_natCast_atTop_atTop
refine squeeze_zero_norm (fun n ↦ ?_) this
rw [← dist_eq_norm, dist_birkhoffAverage_apply_birkhoffAverage]
gcongr
exact hC n 0
|
/-
Copyright (c) 2019 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Mario Carneiro
-/
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Algebra.Order.Group.Int
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Algebra.Ring.Rat
import Mathlib.Data.PNat.Defs
#align_import data.rat.lemmas from "leanprover-community/mathlib"@"550b58538991c8977703fdeb7c9d51a5aa27df11"
/-!
# Further lemmas for the Rational Numbers
-/
namespace Rat
open Rat
theorem num_dvd (a) {b : ℤ} (b0 : b ≠ 0) : (a /. b).num ∣ a := by
cases' e : a /. b with n d h c
rw [Rat.mk'_eq_divInt, divInt_eq_iff b0 (mod_cast h)] at e
refine Int.natAbs_dvd.1 <| Int.dvd_natAbs.1 <| Int.natCast_dvd_natCast.2 <|
c.dvd_of_dvd_mul_right ?_
have := congr_arg Int.natAbs e
simp only [Int.natAbs_mul, Int.natAbs_ofNat] at this; simp [this]
#align rat.num_dvd Rat.num_dvd
theorem den_dvd (a b : ℤ) : ((a /. b).den : ℤ) ∣ b := by
by_cases b0 : b = 0; · simp [b0]
cases' e : a /. b with n d h c
rw [mk'_eq_divInt, divInt_eq_iff b0 (ne_of_gt (Int.natCast_pos.2 (Nat.pos_of_ne_zero h)))] at e
refine Int.dvd_natAbs.1 <| Int.natCast_dvd_natCast.2 <| c.symm.dvd_of_dvd_mul_left ?_
rw [← Int.natAbs_mul, ← Int.natCast_dvd_natCast, Int.dvd_natAbs, ← e]; simp
#align rat.denom_dvd Rat.den_dvd
theorem num_den_mk {q : ℚ} {n d : ℤ} (hd : d ≠ 0) (qdf : q = n /. d) :
∃ c : ℤ, n = c * q.num ∧ d = c * q.den := by
obtain rfl | hn := eq_or_ne n 0
· simp [qdf]
have : q.num * d = n * ↑q.den := by
refine (divInt_eq_iff ?_ hd).mp ?_
· exact Int.natCast_ne_zero.mpr (Rat.den_nz _)
· rwa [num_divInt_den]
have hqdn : q.num ∣ n := by
rw [qdf]
exact Rat.num_dvd _ hd
refine ⟨n / q.num, ?_, ?_⟩
· rw [Int.ediv_mul_cancel hqdn]
· refine Int.eq_mul_div_of_mul_eq_mul_of_dvd_left ?_ hqdn this
rw [qdf]
exact Rat.num_ne_zero.2 ((divInt_ne_zero hd).mpr hn)
#align rat.num_denom_mk Rat.num_den_mk
#noalign rat.mk_pnat_num
#noalign rat.mk_pnat_denom
theorem num_mk (n d : ℤ) : (n /. d).num = d.sign * n / n.gcd d := by
have (m : ℕ) : Int.natAbs (m + 1) = m + 1 := by
rw [← Nat.cast_one, ← Nat.cast_add, Int.natAbs_cast]
rcases d with ((_ | _) | _) <;>
rw [← Int.div_eq_ediv_of_dvd] <;>
simp [divInt, mkRat, Rat.normalize, Nat.succPNat, Int.sign, Int.gcd,
Int.zero_ediv, Int.ofNat_dvd_left, Nat.gcd_dvd_left, this]
#align rat.num_mk Rat.num_mk
theorem den_mk (n d : ℤ) : (n /. d).den = if d = 0 then 1 else d.natAbs / n.gcd d := by
have (m : ℕ) : Int.natAbs (m + 1) = m + 1 := by
rw [← Nat.cast_one, ← Nat.cast_add, Int.natAbs_cast]
rcases d with ((_ | _) | _) <;>
simp [divInt, mkRat, Rat.normalize, Nat.succPNat, Int.sign, Int.gcd,
if_neg (Nat.cast_add_one_ne_zero _), this]
#align rat.denom_mk Rat.den_mk
#noalign rat.mk_pnat_denom_dvd
theorem add_den_dvd (q₁ q₂ : ℚ) : (q₁ + q₂).den ∣ q₁.den * q₂.den := by
rw [add_def, normalize_eq]
apply Nat.div_dvd_of_dvd
apply Nat.gcd_dvd_right
#align rat.add_denom_dvd Rat.add_den_dvd
theorem mul_den_dvd (q₁ q₂ : ℚ) : (q₁ * q₂).den ∣ q₁.den * q₂.den := by
rw [mul_def, normalize_eq]
apply Nat.div_dvd_of_dvd
apply Nat.gcd_dvd_right
#align rat.mul_denom_dvd Rat.mul_den_dvd
theorem mul_num (q₁ q₂ : ℚ) :
(q₁ * q₂).num = q₁.num * q₂.num / Nat.gcd (q₁.num * q₂.num).natAbs (q₁.den * q₂.den) := by
rw [mul_def, normalize_eq]
#align rat.mul_num Rat.mul_num
| Mathlib/Data/Rat/Lemmas.lean | 98 | 101 | theorem mul_den (q₁ q₂ : ℚ) :
(q₁ * q₂).den =
q₁.den * q₂.den / Nat.gcd (q₁.num * q₂.num).natAbs (q₁.den * q₂.den) := by |
rw [mul_def, normalize_eq]
|
/-
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
-/
import Mathlib.Analysis.SpecialFunctions.Exp
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Analysis.NormedSpace.Real
#align_import analysis.special_functions.log.basic from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
/-!
# Real logarithm
In this file we define `Real.log` to be the logarithm of a real number. As usual, we extend it from
its domain `(0, +∞)` to a globally defined function. We choose to do it so that `log 0 = 0` and
`log (-x) = log x`.
We prove some basic properties of this function and show that it is continuous.
## Tags
logarithm, continuity
-/
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {x y : ℝ}
/-- The real logarithm function, equal to the inverse of the exponential for `x > 0`,
to `log |x|` for `x < 0`, and to `0` for `0`. We use this unconventional extension to
`(-∞, 0]` as it gives the formula `log (x * y) = log x + log y` for all nonzero `x` and `y`, and
the derivative of `log` is `1/x` away from `0`. -/
-- @[pp_nodot] -- Porting note: removed
noncomputable def log (x : ℝ) : ℝ :=
if hx : x = 0 then 0 else expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩
#align real.log Real.log
theorem log_of_ne_zero (hx : x ≠ 0) : log x = expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ :=
dif_neg hx
#align real.log_of_ne_zero Real.log_of_ne_zero
theorem log_of_pos (hx : 0 < x) : log x = expOrderIso.symm ⟨x, hx⟩ := by
rw [log_of_ne_zero hx.ne']
congr
exact abs_of_pos hx
#align real.log_of_pos Real.log_of_pos
theorem exp_log_eq_abs (hx : x ≠ 0) : exp (log x) = |x| := by
rw [log_of_ne_zero hx, ← coe_expOrderIso_apply, OrderIso.apply_symm_apply, Subtype.coe_mk]
#align real.exp_log_eq_abs Real.exp_log_eq_abs
theorem exp_log (hx : 0 < x) : exp (log x) = x := by
rw [exp_log_eq_abs hx.ne']
exact abs_of_pos hx
#align real.exp_log Real.exp_log
theorem exp_log_of_neg (hx : x < 0) : exp (log x) = -x := by
rw [exp_log_eq_abs (ne_of_lt hx)]
exact abs_of_neg hx
#align real.exp_log_of_neg Real.exp_log_of_neg
theorem le_exp_log (x : ℝ) : x ≤ exp (log x) := by
by_cases h_zero : x = 0
· rw [h_zero, log, dif_pos rfl, exp_zero]
exact zero_le_one
· rw [exp_log_eq_abs h_zero]
exact le_abs_self _
#align real.le_exp_log Real.le_exp_log
@[simp]
theorem log_exp (x : ℝ) : log (exp x) = x :=
exp_injective <| exp_log (exp_pos x)
#align real.log_exp Real.log_exp
theorem surjOn_log : SurjOn log (Ioi 0) univ := fun x _ => ⟨exp x, exp_pos x, log_exp x⟩
#align real.surj_on_log Real.surjOn_log
theorem log_surjective : Surjective log := fun x => ⟨exp x, log_exp x⟩
#align real.log_surjective Real.log_surjective
@[simp]
theorem range_log : range log = univ :=
log_surjective.range_eq
#align real.range_log Real.range_log
@[simp]
theorem log_zero : log 0 = 0 :=
dif_pos rfl
#align real.log_zero Real.log_zero
@[simp]
theorem log_one : log 1 = 0 :=
exp_injective <| by rw [exp_log zero_lt_one, exp_zero]
#align real.log_one Real.log_one
@[simp]
| Mathlib/Analysis/SpecialFunctions/Log/Basic.lean | 104 | 107 | theorem log_abs (x : ℝ) : log |x| = log x := by |
by_cases h : x = 0
· simp [h]
· rw [← exp_eq_exp, exp_log_eq_abs h, exp_log_eq_abs (abs_pos.2 h).ne', abs_abs]
|
/-
Copyright (c) 2020 Kenji Nakagawa. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kenji Nakagawa, Anne Baanen, Filippo A. E. Nuccio
-/
import Mathlib.Algebra.Algebra.Subalgebra.Pointwise
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Maximal
import Mathlib.AlgebraicGeometry.PrimeSpectrum.Noetherian
import Mathlib.RingTheory.ChainOfDivisors
import Mathlib.RingTheory.DedekindDomain.Basic
import Mathlib.RingTheory.FractionalIdeal.Operations
#align_import ring_theory.dedekind_domain.ideal from "leanprover-community/mathlib"@"2bbc7e3884ba234309d2a43b19144105a753292e"
/-!
# Dedekind domains and ideals
In this file, we show a ring is a Dedekind domain iff all fractional ideals are invertible.
Then we prove some results on the unique factorization monoid structure of the ideals.
## Main definitions
- `IsDedekindDomainInv` alternatively defines a Dedekind domain as an integral domain where
every nonzero fractional ideal is invertible.
- `isDedekindDomainInv_iff` shows that this does note depend on the choice of field of
fractions.
- `IsDedekindDomain.HeightOneSpectrum` defines the type of nonzero prime ideals of `R`.
## Main results:
- `isDedekindDomain_iff_isDedekindDomainInv`
- `Ideal.uniqueFactorizationMonoid`
## Implementation notes
The definitions that involve a field of fractions choose a canonical field of fractions,
but are independent of that choice. The `..._iff` lemmas express this independence.
Often, definitions assume that Dedekind domains are not fields. We found it more practical
to add a `(h : ¬ IsField A)` assumption whenever this is explicitly needed.
## References
* [D. Marcus, *Number Fields*][marcus1977number]
* [J.W.S. Cassels, A. Frölich, *Algebraic Number Theory*][cassels1967algebraic]
* [J. Neukirch, *Algebraic Number Theory*][Neukirch1992]
## Tags
dedekind domain, dedekind ring
-/
variable (R A K : Type*) [CommRing R] [CommRing A] [Field K]
open scoped nonZeroDivisors Polynomial
section Inverse
namespace FractionalIdeal
variable {R₁ : Type*} [CommRing R₁] [IsDomain R₁] [Algebra R₁ K] [IsFractionRing R₁ K]
variable {I J : FractionalIdeal R₁⁰ K}
noncomputable instance : Inv (FractionalIdeal R₁⁰ K) := ⟨fun I => 1 / I⟩
theorem inv_eq : I⁻¹ = 1 / I := rfl
#align fractional_ideal.inv_eq FractionalIdeal.inv_eq
theorem inv_zero' : (0 : FractionalIdeal R₁⁰ K)⁻¹ = 0 := div_zero
#align fractional_ideal.inv_zero' FractionalIdeal.inv_zero'
theorem inv_nonzero {J : FractionalIdeal R₁⁰ K} (h : J ≠ 0) :
J⁻¹ = ⟨(1 : FractionalIdeal R₁⁰ K) / J, fractional_div_of_nonzero h⟩ := div_nonzero h
#align fractional_ideal.inv_nonzero FractionalIdeal.inv_nonzero
theorem coe_inv_of_nonzero {J : FractionalIdeal R₁⁰ K} (h : J ≠ 0) :
(↑J⁻¹ : Submodule R₁ K) = IsLocalization.coeSubmodule K ⊤ / (J : Submodule R₁ K) := by
simp_rw [inv_nonzero _ h, coe_one, coe_mk, IsLocalization.coeSubmodule_top]
#align fractional_ideal.coe_inv_of_nonzero FractionalIdeal.coe_inv_of_nonzero
variable {K}
theorem mem_inv_iff (hI : I ≠ 0) {x : K} : x ∈ I⁻¹ ↔ ∀ y ∈ I, x * y ∈ (1 : FractionalIdeal R₁⁰ K) :=
mem_div_iff_of_nonzero hI
#align fractional_ideal.mem_inv_iff FractionalIdeal.mem_inv_iff
theorem inv_anti_mono (hI : I ≠ 0) (hJ : J ≠ 0) (hIJ : I ≤ J) : J⁻¹ ≤ I⁻¹ := by
-- Porting note: in Lean3, introducing `x` would just give `x ∈ J⁻¹ → x ∈ I⁻¹`, but
-- in Lean4, it goes all the way down to the subtypes
intro x
simp only [val_eq_coe, mem_coe, mem_inv_iff hJ, mem_inv_iff hI]
exact fun h y hy => h y (hIJ hy)
#align fractional_ideal.inv_anti_mono FractionalIdeal.inv_anti_mono
theorem le_self_mul_inv {I : FractionalIdeal R₁⁰ K} (hI : I ≤ (1 : FractionalIdeal R₁⁰ K)) :
I ≤ I * I⁻¹ :=
le_self_mul_one_div hI
#align fractional_ideal.le_self_mul_inv FractionalIdeal.le_self_mul_inv
variable (K)
theorem coe_ideal_le_self_mul_inv (I : Ideal R₁) :
(I : FractionalIdeal R₁⁰ K) ≤ I * (I : FractionalIdeal R₁⁰ K)⁻¹ :=
le_self_mul_inv coeIdeal_le_one
#align fractional_ideal.coe_ideal_le_self_mul_inv FractionalIdeal.coe_ideal_le_self_mul_inv
/-- `I⁻¹` is the inverse of `I` if `I` has an inverse. -/
| Mathlib/RingTheory/DedekindDomain/Ideal.lean | 108 | 122 | theorem right_inverse_eq (I J : FractionalIdeal R₁⁰ K) (h : I * J = 1) : J = I⁻¹ := by |
have hI : I ≠ 0 := ne_zero_of_mul_eq_one I J h
suffices h' : I * (1 / I) = 1 from
congr_arg Units.inv <| @Units.ext _ _ (Units.mkOfMulEqOne _ _ h) (Units.mkOfMulEqOne _ _ h') rfl
apply le_antisymm
· apply mul_le.mpr _
intro x hx y hy
rw [mul_comm]
exact (mem_div_iff_of_nonzero hI).mp hy x hx
rw [← h]
apply mul_left_mono I
apply (le_div_iff_of_nonzero hI).mpr _
intro y hy x hx
rw [mul_comm]
exact mul_mem_mul hx hy
|
/-
Copyright (c) 2022 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.RingTheory.TensorProduct.Basic
#align_import algebra.module.bimodule from "leanprover-community/mathlib"@"58cef51f7a819e7227224461e392dee423302f2d"
/-!
# Bimodules
One frequently encounters situations in which several sets of scalars act on a single space, subject
to compatibility condition(s). A distinguished instance of this is the theory of bimodules: one has
two rings `R`, `S` acting on an additive group `M`, with `R` acting covariantly ("on the left")
and `S` acting contravariantly ("on the right"). The compatibility condition is just:
`(r • m) • s = r • (m • s)` for all `r : R`, `s : S`, `m : M`.
This situation can be set up in Mathlib as:
```lean
variable (R S M : Type*) [Ring R] [Ring S]
variable [AddCommGroup M] [Module R M] [Module Sᵐᵒᵖ M] [SMulCommClass R Sᵐᵒᵖ M]
```
The key fact is:
```lean
example : Module (R ⊗[ℕ] Sᵐᵒᵖ) M := TensorProduct.Algebra.module
```
Note that the corresponding result holds for the canonically isomorphic ring `R ⊗[ℤ] Sᵐᵒᵖ` but it is
preferable to use the `R ⊗[ℕ] Sᵐᵒᵖ` instance since it works without additive inverses.
Bimodules are thus just a special case of `Module`s and most of their properties follow from the
theory of `Module`s. In particular a two-sided Submodule of a bimodule is simply a term of type
`Submodule (R ⊗[ℕ] Sᵐᵒᵖ) M`.
This file is a place to collect results which are specific to bimodules.
## Main definitions
* `Subbimodule.mk`
* `Subbimodule.smul_mem`
* `Subbimodule.smul_mem'`
* `Subbimodule.toSubmodule`
* `Subbimodule.toSubmodule'`
## Implementation details
For many definitions and lemmas it is preferable to set things up without opposites, i.e., as:
`[Module S M] [SMulCommClass R S M]` rather than `[Module Sᵐᵒᵖ M] [SMulCommClass R Sᵐᵒᵖ M]`.
The corresponding results for opposites then follow automatically and do not require taking
advantage of the fact that `(Sᵐᵒᵖ)ᵐᵒᵖ` is defeq to `S`.
## TODO
Develop the theory of two-sided ideals, which have type `Submodule (R ⊗[ℕ] Rᵐᵒᵖ) R`.
-/
open TensorProduct
attribute [local instance] TensorProduct.Algebra.module
namespace Subbimodule
section Algebra
variable {R A B M : Type*}
variable [CommSemiring R] [AddCommMonoid M] [Module R M]
variable [Semiring A] [Semiring B] [Module A M] [Module B M]
variable [Algebra R A] [Algebra R B]
variable [IsScalarTower R A M] [IsScalarTower R B M]
variable [SMulCommClass A B M]
/-- A constructor for a subbimodule which demands closure under the two sets of scalars
individually, rather than jointly via their tensor product.
Note that `R` plays no role but it is convenient to make this generalisation to support the cases
`R = ℕ` and `R = ℤ` which both show up naturally. See also `Subbimodule.baseChange`. -/
@[simps]
def mk (p : AddSubmonoid M) (hA : ∀ (a : A) {m : M}, m ∈ p → a • m ∈ p)
(hB : ∀ (b : B) {m : M}, m ∈ p → b • m ∈ p) : Submodule (A ⊗[R] B) M :=
{ p with
carrier := p
smul_mem' := fun ab m =>
TensorProduct.induction_on ab (fun _ => by simpa only [zero_smul] using p.zero_mem)
(fun a b hm => by simpa only [TensorProduct.Algebra.smul_def] using hA a (hB b hm))
fun z w hz hw hm => by simpa only [add_smul] using p.add_mem (hz hm) (hw hm) }
#align subbimodule.mk Subbimodule.mk
theorem smul_mem (p : Submodule (A ⊗[R] B) M) (a : A) {m : M} (hm : m ∈ p) : a • m ∈ p := by
suffices a • m = a ⊗ₜ[R] (1 : B) • m by exact this.symm ▸ p.smul_mem _ hm
simp [TensorProduct.Algebra.smul_def]
#align subbimodule.smul_mem Subbimodule.smul_mem
| Mathlib/Algebra/Module/Bimodule.lean | 95 | 97 | theorem smul_mem' (p : Submodule (A ⊗[R] B) M) (b : B) {m : M} (hm : m ∈ p) : b • m ∈ p := by |
suffices b • m = (1 : A) ⊗ₜ[R] b • m by exact this.symm ▸ p.smul_mem _ hm
simp [TensorProduct.Algebra.smul_def]
|
/-
Copyright (c) 2018 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro, Johannes Hölzl
-/
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Function.SimpleFunc
import Mathlib.MeasureTheory.Measure.MutuallySingular
import Mathlib.MeasureTheory.Measure.Count
import Mathlib.Topology.IndicatorConstPointwise
import Mathlib.MeasureTheory.Constructions.BorelSpace.Real
#align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
/-!
# Lower Lebesgue integral for `ℝ≥0∞`-valued functions
We define the lower Lebesgue integral of an `ℝ≥0∞`-valued function.
## Notation
We introduce the following notation for the lower Lebesgue integral of a function `f : α → ℝ≥0∞`.
* `∫⁻ x, f x ∂μ`: integral of a function `f : α → ℝ≥0∞` with respect to a measure `μ`;
* `∫⁻ x, f x`: integral of a function `f : α → ℝ≥0∞` with respect to the canonical measure
`volume` on `α`;
* `∫⁻ x in s, f x ∂μ`: integral of a function `f : α → ℝ≥0∞` over a set `s` with respect
to a measure `μ`, defined as `∫⁻ x, f x ∂(μ.restrict s)`;
* `∫⁻ x in s, f x`: integral of a function `f : α → ℝ≥0∞` over a set `s` with respect
to the canonical measure `volume`, defined as `∫⁻ x, f x ∂(volume.restrict s)`.
-/
assert_not_exists NormedSpace
set_option autoImplicit true
noncomputable section
open Set hiding restrict restrict_apply
open Filter ENNReal
open Function (support)
open scoped Classical
open Topology NNReal ENNReal MeasureTheory
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
variable {α β γ δ : Type*}
section Lintegral
open SimpleFunc
variable {m : MeasurableSpace α} {μ ν : Measure α}
/-- The **lower Lebesgue integral** of a function `f` with respect to a measure `μ`. -/
irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ :=
⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ
#align measure_theory.lintegral MeasureTheory.lintegral
/-! In the notation for integrals, an expression like `∫⁻ x, g ‖x‖ ∂μ` will not be parsed correctly,
and needs parentheses. We do not set the binding power of `r` to `0`, because then
`∫⁻ x, f x = 0` will be parsed incorrectly. -/
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r
theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ = f.lintegral μ := by
rw [MeasureTheory.lintegral]
exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl)
(le_iSup₂_of_le f le_rfl le_rfl)
#align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral
@[mono]
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 90 | 93 | theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄
(hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by |
rw [lintegral, lintegral]
exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩
|
/-
Copyright (c) 2022 Yuma Mizuno. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yuma Mizuno, Junyan Xu
-/
import Mathlib.CategoryTheory.PathCategory
import Mathlib.CategoryTheory.Functor.FullyFaithful
import Mathlib.CategoryTheory.Bicategory.Free
import Mathlib.CategoryTheory.Bicategory.LocallyDiscrete
#align_import category_theory.bicategory.coherence from "leanprover-community/mathlib"@"f187f1074fa1857c94589cc653c786cadc4c35ff"
/-!
# The coherence theorem for bicategories
In this file, we prove the coherence theorem for bicategories, stated in the following form: the
free bicategory over any quiver is locally thin.
The proof is almost the same as the proof of the coherence theorem for monoidal categories that
has been previously formalized in mathlib, which is based on the proof described by Ilya Beylin
and Peter Dybjer. The idea is to view a path on a quiver as a normal form of a 1-morphism in the
free bicategory on the same quiver. A normalization procedure is then described by
`normalize : Pseudofunctor (FreeBicategory B) (LocallyDiscrete (Paths B))`, which is a
pseudofunctor from the free bicategory to the locally discrete bicategory on the path category.
It turns out that this pseudofunctor is locally an equivalence of categories, and the coherence
theorem follows immediately from this fact.
## Main statements
* `locally_thin` : the free bicategory is locally thin, that is, there is at most one
2-morphism between two fixed 1-morphisms.
## References
* [Ilya Beylin and Peter Dybjer, Extracting a proof of coherence for monoidal categories from a
proof of normalization for monoids][beylin1996]
-/
open Quiver (Path)
open Quiver.Path
namespace CategoryTheory
open Bicategory Category
universe v u
namespace FreeBicategory
variable {B : Type u} [Quiver.{v + 1} B]
/-- Auxiliary definition for `inclusionPath`. -/
@[simp]
def inclusionPathAux {a : B} : ∀ {b : B}, Path a b → Hom a b
| _, nil => Hom.id a
| _, cons p f => (inclusionPathAux p).comp (Hom.of f)
#align category_theory.free_bicategory.inclusion_path_aux CategoryTheory.FreeBicategory.inclusionPathAux
/- Porting note: Since the following instance was removed when porting
`CategoryTheory.Bicategory.Free`, we add it locally here. -/
/-- Category structure on `Hom a b`. In this file, we will use `Hom a b` for `a b : B`
(precisely, `FreeBicategory.Hom a b`) instead of the definitionally equal expression
`a ⟶ b` for `a b : FreeBicategory B`. The main reason is that we have to annoyingly write
`@Quiver.Hom (FreeBicategory B) _ a b` to get the latter expression when given `a b : B`. -/
local instance homCategory' (a b : B) : Category (Hom a b) :=
homCategory a b
/-- The discrete category on the paths includes into the category of 1-morphisms in the free
bicategory.
-/
def inclusionPath (a b : B) : Discrete (Path.{v + 1} a b) ⥤ Hom a b :=
Discrete.functor inclusionPathAux
#align category_theory.free_bicategory.inclusion_path CategoryTheory.FreeBicategory.inclusionPath
/-- The inclusion from the locally discrete bicategory on the path category into the free bicategory
as a prelax functor. This will be promoted to a pseudofunctor after proving the coherence theorem.
See `inclusion`.
-/
def preinclusion (B : Type u) [Quiver.{v + 1} B] :
PrelaxFunctor (LocallyDiscrete (Paths B)) (FreeBicategory B) where
obj a := a.as
map := @fun a b f => (@inclusionPath B _ a.as b.as).obj f
map₂ η := (inclusionPath _ _).map η
#align category_theory.free_bicategory.preinclusion CategoryTheory.FreeBicategory.preinclusion
@[simp]
theorem preinclusion_obj (a : B) : (preinclusion B).obj ⟨a⟩ = a :=
rfl
#align category_theory.free_bicategory.preinclusion_obj CategoryTheory.FreeBicategory.preinclusion_obj
@[simp]
| Mathlib/CategoryTheory/Bicategory/Coherence.lean | 94 | 98 | theorem preinclusion_map₂ {a b : B} (f g : Discrete (Path.{v + 1} a b)) (η : f ⟶ g) :
(preinclusion B).map₂ η = eqToHom (congr_arg _ (Discrete.ext _ _ (Discrete.eq_of_hom η))) := by |
rcases η with ⟨⟨⟩⟩
cases Discrete.ext _ _ (by assumption)
convert (inclusionPath a b).map_id _
|
/-
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. -/
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
#align mk_eq_mk_of_basis mk_eq_mk_of_basis
/-- Given two bases indexed by `ι` and `ι'` of an `R`-module, where `R` satisfies the invariant
basis number property, an equiv `ι ≃ ι'`. -/
def Basis.indexEquiv (v : Basis ι R M) (v' : Basis ι' R M) : ι ≃ ι' :=
(Cardinal.lift_mk_eq'.1 <| mk_eq_mk_of_basis v v').some
#align basis.index_equiv Basis.indexEquiv
theorem mk_eq_mk_of_basis' {ι' : Type w} (v : Basis ι R M) (v' : Basis ι' R M) : #ι = #ι' :=
Cardinal.lift_inj.1 <| mk_eq_mk_of_basis v v'
#align mk_eq_mk_of_basis' mk_eq_mk_of_basis'
end InvariantBasisNumber
section RankCondition
variable [RankCondition R]
/-- An auxiliary lemma for `Basis.le_span`.
If `R` satisfies the rank condition,
then for any finite basis `b : Basis ι R M`,
and any finite spanning set `w : Set M`,
the cardinality of `ι` is bounded by the cardinality of `w`.
-/
theorem Basis.le_span'' {ι : Type*} [Fintype ι] (b : Basis ι R M) {w : Set M} [Fintype w]
(s : span R w = ⊤) : Fintype.card ι ≤ Fintype.card w := by
-- We construct a surjective linear map `(w → R) →ₗ[R] (ι → R)`,
-- by expressing a linear combination in `w` as a linear combination in `ι`.
fapply card_le_of_surjective' R
· exact b.repr.toLinearMap.comp (Finsupp.total w M R (↑))
· apply Surjective.comp (g := b.repr.toLinearMap)
· apply LinearEquiv.surjective
rw [← LinearMap.range_eq_top, Finsupp.range_total]
simpa using s
#align basis.le_span'' Basis.le_span''
/--
Another auxiliary lemma for `Basis.le_span`, which does not require assuming the basis is finite,
but still assumes we have a finite spanning set.
-/
| Mathlib/LinearAlgebra/Dimension/StrongRankCondition.lean | 125 | 132 | theorem basis_le_span' {ι : Type*} (b : Basis ι R M) {w : Set M} [Fintype w] (s : span R w = ⊤) :
#ι ≤ Fintype.card w := by |
haveI := nontrivial_of_invariantBasisNumber R
haveI := basis_finite_of_finite_spans w (toFinite _) s b
cases nonempty_fintype ι
rw [Cardinal.mk_fintype ι]
simp only [Cardinal.natCast_le]
exact Basis.le_span'' b s
|
/-
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
-/
import Mathlib.MeasureTheory.OuterMeasure.OfFunction
import Mathlib.MeasureTheory.PiSystem
/-!
# The Caratheodory σ-algebra of an outer measure
Given an outer measure `m`, the Carathéodory-measurable sets are the sets `s` such that
for all sets `t` we have `m t = m (t ∩ s) + m (t \ s)`. This forms a measurable space.
## Main definitions and statements
* `caratheodory` is the Carathéodory-measurable space of an outer measure.
## References
* <https://en.wikipedia.org/wiki/Outer_measure>
* <https://en.wikipedia.org/wiki/Carath%C3%A9odory%27s_criterion>
## Tags
Carathéodory-measurable, Carathéodory's criterion
-/
#align_import measure_theory.measure.outer_measure from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55"
noncomputable section
open Set Function Filter
open scoped Classical NNReal Topology ENNReal
namespace MeasureTheory
namespace OuterMeasure
section CaratheodoryMeasurable
universe u
variable {α : Type u} (m : OuterMeasure α)
attribute [local simp] Set.inter_comm Set.inter_left_comm Set.inter_assoc
variable {s s₁ s₂ : Set α}
/-- A set `s` is Carathéodory-measurable for an outer measure `m` if for all sets `t` we have
`m t = m (t ∩ s) + m (t \ s)`. -/
def IsCaratheodory (s : Set α) : Prop :=
∀ t, m t = m (t ∩ s) + m (t \ s)
#align measure_theory.outer_measure.is_caratheodory MeasureTheory.OuterMeasure.IsCaratheodory
theorem isCaratheodory_iff_le' {s : Set α} :
IsCaratheodory m s ↔ ∀ t, m (t ∩ s) + m (t \ s) ≤ m t :=
forall_congr' fun _ => le_antisymm_iff.trans <| and_iff_right <| measure_le_inter_add_diff _ _ _
#align measure_theory.outer_measure.is_caratheodory_iff_le' MeasureTheory.OuterMeasure.isCaratheodory_iff_le'
@[simp]
| Mathlib/MeasureTheory/OuterMeasure/Caratheodory.lean | 62 | 62 | theorem isCaratheodory_empty : IsCaratheodory m ∅ := by | simp [IsCaratheodory, m.empty, diff_empty]
|
/-
Copyright (c) 2023 Chris Birkbeck. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Birkbeck, Ruben Van de Velde
-/
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Shift
import Mathlib.Analysis.Calculus.IteratedDeriv.Defs
/-!
# One-dimensional iterated derivatives
This file contains a number of further results on `iteratedDerivWithin` that need more imports
than are available in `Mathlib/Analysis/Calculus/IteratedDeriv/Defs.lean`.
-/
variable
{𝕜 : Type*} [NontriviallyNormedField 𝕜]
{F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
{R : Type*} [Semiring R] [Module R F] [SMulCommClass 𝕜 R F] [ContinuousConstSMul R F]
{n : ℕ} {x : 𝕜} {s : Set 𝕜} (hx : x ∈ s) (h : UniqueDiffOn 𝕜 s) {f g : 𝕜 → F}
theorem iteratedDerivWithin_add (hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) :
iteratedDerivWithin n (f + g) s x =
iteratedDerivWithin n f s x + iteratedDerivWithin n g s x := by
simp_rw [iteratedDerivWithin, iteratedFDerivWithin_add_apply hf hg h hx,
ContinuousMultilinearMap.add_apply]
theorem iteratedDerivWithin_congr (hfg : Set.EqOn f g s) :
Set.EqOn (iteratedDerivWithin n f s) (iteratedDerivWithin n g s) s := by
induction n generalizing f g with
| zero => rwa [iteratedDerivWithin_zero]
| succ n IH =>
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [iteratedDerivWithin_succ this, iteratedDerivWithin_succ this]
exact derivWithin_congr (IH hfg) (IH hfg hy)
theorem iteratedDerivWithin_const_add (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c + f z) s x = iteratedDerivWithin n f s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
exact derivWithin_const_add (h.uniqueDiffWithinAt hy) _
theorem iteratedDerivWithin_const_neg (hn : 0 < n) (c : F) :
iteratedDerivWithin n (fun z => c - f z) s x = iteratedDerivWithin n (fun z => -f z) s x := by
obtain ⟨n, rfl⟩ := n.exists_eq_succ_of_ne_zero hn.ne'
rw [iteratedDerivWithin_succ' h hx, iteratedDerivWithin_succ' h hx]
refine iteratedDerivWithin_congr h ?_ hx
intro y hy
have : UniqueDiffWithinAt 𝕜 s y := h.uniqueDiffWithinAt hy
rw [derivWithin.neg this]
exact derivWithin_const_sub this _
| Mathlib/Analysis/Calculus/IteratedDeriv/Lemmas.lean | 58 | 62 | theorem iteratedDerivWithin_const_smul (c : R) (hf : ContDiffOn 𝕜 n f s) :
iteratedDerivWithin n (c • f) s x = c • iteratedDerivWithin n f s x := by |
simp_rw [iteratedDerivWithin]
rw [iteratedFDerivWithin_const_smul_apply hf h hx]
simp only [ContinuousMultilinearMap.smul_apply]
|
/-
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.Analysis.Calculus.BumpFunction.Basic
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
#align_import analysis.calculus.bump_function_inner from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
/-!
# Normed bump function
In this file we define `ContDiffBump.normed f μ` to be the bump function `f` normalized so that
`∫ x, f.normed μ x ∂μ = 1` and prove some properties of this function.
-/
noncomputable section
open Function Filter Set Metric MeasureTheory FiniteDimensional Measure
open scoped Topology
namespace ContDiffBump
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [HasContDiffBump E]
[MeasurableSpace E] {c : E} (f : ContDiffBump c) {x : E} {n : ℕ∞} {μ : Measure E}
/-- A bump function normed so that `∫ x, f.normed μ x ∂μ = 1`. -/
protected def normed (μ : Measure E) : E → ℝ := fun x => f x / ∫ x, f x ∂μ
#align cont_diff_bump.normed ContDiffBump.normed
theorem normed_def {μ : Measure E} (x : E) : f.normed μ x = f x / ∫ x, f x ∂μ :=
rfl
#align cont_diff_bump.normed_def ContDiffBump.normed_def
theorem nonneg_normed (x : E) : 0 ≤ f.normed μ x :=
div_nonneg f.nonneg <| integral_nonneg f.nonneg'
#align cont_diff_bump.nonneg_normed ContDiffBump.nonneg_normed
theorem contDiff_normed {n : ℕ∞} : ContDiff ℝ n (f.normed μ) :=
f.contDiff.div_const _
#align cont_diff_bump.cont_diff_normed ContDiffBump.contDiff_normed
theorem continuous_normed : Continuous (f.normed μ) :=
f.continuous.div_const _
#align cont_diff_bump.continuous_normed ContDiffBump.continuous_normed
theorem normed_sub (x : E) : f.normed μ (c - x) = f.normed μ (c + x) := by
simp_rw [f.normed_def, f.sub]
#align cont_diff_bump.normed_sub ContDiffBump.normed_sub
theorem normed_neg (f : ContDiffBump (0 : E)) (x : E) : f.normed μ (-x) = f.normed μ x := by
simp_rw [f.normed_def, f.neg]
#align cont_diff_bump.normed_neg ContDiffBump.normed_neg
variable [BorelSpace E] [FiniteDimensional ℝ E] [IsLocallyFiniteMeasure μ]
protected theorem integrable : Integrable f μ :=
f.continuous.integrable_of_hasCompactSupport f.hasCompactSupport
#align cont_diff_bump.integrable ContDiffBump.integrable
protected theorem integrable_normed : Integrable (f.normed μ) μ :=
f.integrable.div_const _
#align cont_diff_bump.integrable_normed ContDiffBump.integrable_normed
variable [μ.IsOpenPosMeasure]
theorem integral_pos : 0 < ∫ x, f x ∂μ := by
refine (integral_pos_iff_support_of_nonneg f.nonneg' f.integrable).mpr ?_
rw [f.support_eq]
exact measure_ball_pos μ c f.rOut_pos
#align cont_diff_bump.integral_pos ContDiffBump.integral_pos
theorem integral_normed : ∫ x, f.normed μ x ∂μ = 1 := by
simp_rw [ContDiffBump.normed, div_eq_mul_inv, mul_comm (f _), ← smul_eq_mul, integral_smul]
exact inv_mul_cancel f.integral_pos.ne'
#align cont_diff_bump.integral_normed ContDiffBump.integral_normed
theorem support_normed_eq : Function.support (f.normed μ) = Metric.ball c f.rOut := by
unfold ContDiffBump.normed
rw [support_div, f.support_eq, support_const f.integral_pos.ne', inter_univ]
#align cont_diff_bump.support_normed_eq ContDiffBump.support_normed_eq
theorem tsupport_normed_eq : tsupport (f.normed μ) = Metric.closedBall c f.rOut := by
rw [tsupport, f.support_normed_eq, closure_ball _ f.rOut_pos.ne']
#align cont_diff_bump.tsupport_normed_eq ContDiffBump.tsupport_normed_eq
theorem hasCompactSupport_normed : HasCompactSupport (f.normed μ) := by
simp only [HasCompactSupport, f.tsupport_normed_eq (μ := μ), isCompact_closedBall]
#align cont_diff_bump.has_compact_support_normed ContDiffBump.hasCompactSupport_normed
theorem tendsto_support_normed_smallSets {ι} {φ : ι → ContDiffBump c} {l : Filter ι}
(hφ : Tendsto (fun i => (φ i).rOut) l (𝓝 0)) :
Tendsto (fun i => Function.support fun x => (φ i).normed μ x) l (𝓝 c).smallSets := by
simp_rw [NormedAddCommGroup.tendsto_nhds_zero, Real.norm_eq_abs,
abs_eq_self.mpr (φ _).rOut_pos.le] at hφ
rw [nhds_basis_ball.smallSets.tendsto_right_iff]
refine fun ε hε ↦ (hφ ε hε).mono fun i hi ↦ ?_
rw [(φ i).support_normed_eq]
exact ball_subset_ball hi.le
#align cont_diff_bump.tendsto_support_normed_small_sets ContDiffBump.tendsto_support_normed_smallSets
variable (μ)
| Mathlib/Analysis/Calculus/BumpFunction/Normed.lean | 106 | 108 | theorem integral_normed_smul {X} [NormedAddCommGroup X] [NormedSpace ℝ X]
[CompleteSpace X] (z : X) : ∫ x, f.normed μ x • z ∂μ = z := by |
simp_rw [integral_smul_const, f.integral_normed (μ := μ), one_smul]
|
/-
Copyright (c) 2024 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Antoine Chambert-Loir, Oliver Nash
-/
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Identities
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.RingTheory.Polynomial.Nilpotent
import Mathlib.RingTheory.Polynomial.Tower
/-!
# Newton-Raphson method
Given a single-variable polynomial `P` with derivative `P'`, Newton's method concerns iteration of
the rational map: `x ↦ x - P(x) / P'(x)`.
Over a field it can serve as a root-finding algorithm. It is also useful tool in certain proofs
such as Hensel's lemma and Jordan-Chevalley decomposition.
## Main definitions / results:
* `Polynomial.newtonMap`: the map `x ↦ x - P(x) / P'(x)`, where `P'` is the derivative of the
polynomial `P`.
* `Polynomial.isFixedPt_newtonMap_of_isUnit_iff`: `x` is a fixed point for Newton iteration iff
it is a root of `P` (provided `P'(x)` is a unit).
* `Polynomial.exists_unique_nilpotent_sub_and_aeval_eq_zero`: if `x` is almost a root of `P` in the
sense that `P(x)` is nilpotent (and `P'(x)` is a unit) then we may write `x` as a sum
`x = n + r` where `n` is nilpotent and `r` is a root of `P`. This can be used to prove the
Jordan-Chevalley decomposition of linear endomorphims.
-/
open Set Function
noncomputable section
namespace Polynomial
variable {R S : Type*} [CommRing R] [CommRing S] [Algebra R S] (P : R[X]) {x : S}
/-- Given a single-variable polynomial `P` with derivative `P'`, this is the map:
`x ↦ x - P(x) / P'(x)`. When `P'(x)` is not a unit we use a junk-value pattern and send `x ↦ x`. -/
def newtonMap (x : S) : S :=
x - (Ring.inverse <| aeval x (derivative P)) * aeval x P
theorem newtonMap_apply :
P.newtonMap x = x - (Ring.inverse <| aeval x (derivative P)) * (aeval x P) :=
rfl
variable {P}
theorem newtonMap_apply_of_isUnit (h : IsUnit <| aeval x (derivative P)) :
P.newtonMap x = x - h.unit⁻¹ * aeval x P := by
simp [newtonMap_apply, Ring.inverse, h]
| Mathlib/Dynamics/Newton.lean | 57 | 59 | theorem newtonMap_apply_of_not_isUnit (h : ¬ (IsUnit <| aeval x (derivative P))) :
P.newtonMap x = x := by |
simp [newtonMap_apply, Ring.inverse, h]
|
/-
Copyright (c) 2021 Oliver Nash. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Oliver Nash
-/
import Mathlib.LinearAlgebra.AffineSpace.Basis
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
#align_import linear_algebra.affine_space.matrix from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
/-!
# Matrix results for barycentric co-ordinates
Results about the matrix of barycentric co-ordinates for a family of points in an affine space, with
respect to some affine basis.
-/
open Affine Matrix
open Set
universe u₁ u₂ u₃ u₄
variable {ι : Type u₁} {k : Type u₂} {V : Type u₃} {P : Type u₄}
variable [AddCommGroup V] [AffineSpace V P]
namespace AffineBasis
section Ring
variable [Ring k] [Module k V] (b : AffineBasis ι k P)
/-- Given an affine basis `p`, and a family of points `q : ι' → P`, this is the matrix whose
rows are the barycentric coordinates of `q` with respect to `p`.
It is an affine equivalent of `Basis.toMatrix`. -/
noncomputable def toMatrix {ι' : Type*} (q : ι' → P) : Matrix ι' ι k :=
fun i j => b.coord j (q i)
#align affine_basis.to_matrix AffineBasis.toMatrix
@[simp]
theorem toMatrix_apply {ι' : Type*} (q : ι' → P) (i : ι') (j : ι) :
b.toMatrix q i j = b.coord j (q i) := rfl
#align affine_basis.to_matrix_apply AffineBasis.toMatrix_apply
@[simp]
theorem toMatrix_self [DecidableEq ι] : b.toMatrix b = (1 : Matrix ι ι k) := by
ext i j
rw [toMatrix_apply, coord_apply, Matrix.one_eq_pi_single, Pi.single_apply]
#align affine_basis.to_matrix_self AffineBasis.toMatrix_self
variable {ι' : Type*}
| Mathlib/LinearAlgebra/AffineSpace/Matrix.lean | 55 | 56 | theorem toMatrix_row_sum_one [Fintype ι] (q : ι' → P) (i : ι') : ∑ j, b.toMatrix q i j = 1 := by |
simp
|
/-
Copyright (c) 2023 Antoine Chambert-Loir. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Antoine Chambert-Loir
-/
import Mathlib.Algebra.Exact
import Mathlib.RingTheory.TensorProduct.Basic
/-! # Right-exactness properties of tensor product
## Modules
* `LinearMap.rTensor_surjective` asserts that when one tensors
a surjective map on the right, one still gets a surjective linear map.
More generally, `LinearMap.rTensor_range` computes the range of
`LinearMap.rTensor`
* `LinearMap.lTensor_surjective` asserts that when one tensors
a surjective map on the left, one still gets a surjective linear map.
More generally, `LinearMap.lTensor_range` computes the range of
`LinearMap.lTensor`
* `TensorProduct.rTensor_exact` says that when one tensors a short exact
sequence on the right, one still gets a short exact sequence
(right-exactness of `TensorProduct.rTensor`),
and `rTensor.equiv` gives the LinearEquiv that follows from this
combined with `LinearMap.rTensor_surjective`.
* `TensorProduct.lTensor_exact` says that when one tensors a short exact
sequence on the left, one still gets a short exact sequence
(right-exactness of `TensorProduct.rTensor`)
and `lTensor.equiv` gives the LinearEquiv that follows from this
combined with `LinearMap.lTensor_surjective`.
* For `N : Submodule R M`, `LinearMap.exact_subtype_mkQ N` says that
the inclusion of the submodule and the quotient map form an exact pair,
and `lTensor_mkQ` compute `ker (lTensor Q (N.mkQ))` and similarly for `rTensor_mkQ`
* `TensorProduct.map_ker` computes the kernel of `TensorProduct.map f g'`
in the presence of two short exact sequences.
The proofs are those of [bourbaki1989] (chap. 2, §3, n°6)
## Algebras
In the case of a tensor product of algebras, these results can be particularized
to compute some kernels.
* `Algebra.TensorProduct.ker_map` computes the kernel of `Algebra.TensorProduct.map f g`
* `Algebra.TensorProduct.lTensor_ker` and `Algebra.TensorProduct.rTensor_ker`
compute the kernels of `Algebra.TensorProduct.map f id` and `Algebra.TensorProduct.map id g`
## Note on implementation
* All kernels are computed by applying the first isomorphism theorem and
establishing some isomorphisms.
* The proofs are essentially done twice,
once for `lTensor` and then for `rTensor`.
It is possible to apply `TensorProduct.flip` to deduce one of them
from the other.
However, this approach will lead to different isomorphisms,
and it is not quicker.
* The proofs of `Ideal.map_includeLeft_eq` and `Ideal.map_includeRight_eq`
could be easier if `I ⊗[R] B` was naturally an `A ⊗[R] B` module,
and the map to `A ⊗[R] B` was known to be linear.
This depends on the B-module structure on a tensor product
whose use rapidly conflicts with everything…
## TODO
* Treat the noncommutative case
* Treat the case of modules over semirings
(For a possible definition of an exact sequence of commutative semigroups, see
[Grillet-1969b], Pierre-Antoine Grillet,
*The tensor product of commutative semigroups*,
Trans. Amer. Math. Soc. 138 (1969), 281-293, doi:10.1090/S0002-9947-1969-0237688-1 .)
-/
section Modules
open TensorProduct LinearMap
section Semiring
variable {R : Type*} [CommSemiring R] {M N P Q: Type*}
[AddCommMonoid M] [AddCommMonoid N] [AddCommMonoid P] [AddCommMonoid Q]
[Module R M] [Module R N] [Module R P] [Module R Q]
{f : M →ₗ[R] N} (g : N →ₗ[R] P)
lemma le_comap_range_lTensor (q : Q) :
LinearMap.range g ≤ (LinearMap.range (lTensor Q g)).comap (TensorProduct.mk R Q P q) := by
rintro x ⟨n, rfl⟩
exact ⟨q ⊗ₜ[R] n, rfl⟩
lemma le_comap_range_rTensor (q : Q) :
LinearMap.range g ≤ (LinearMap.range (rTensor Q g)).comap
((TensorProduct.mk R P Q).flip q) := by
rintro x ⟨n, rfl⟩
exact ⟨n ⊗ₜ[R] q, rfl⟩
variable (Q) {g}
/-- If `g` is surjective, then `lTensor Q g` is surjective -/
theorem LinearMap.lTensor_surjective (hg : Function.Surjective g) :
Function.Surjective (lTensor Q g) := by
intro z
induction z using TensorProduct.induction_on with
| zero => exact ⟨0, map_zero _⟩
| tmul q p =>
obtain ⟨n, rfl⟩ := hg p
exact ⟨q ⊗ₜ[R] n, rfl⟩
| add x y hx hy =>
obtain ⟨x, rfl⟩ := hx
obtain ⟨y, rfl⟩ := hy
exact ⟨x + y, map_add _ _ _⟩
theorem LinearMap.lTensor_range :
range (lTensor Q g) =
range (lTensor Q (Submodule.subtype (range g))) := by
have : g = (Submodule.subtype _).comp g.rangeRestrict := rfl
nth_rewrite 1 [this]
rw [lTensor_comp]
apply range_comp_of_range_eq_top
rw [range_eq_top]
apply lTensor_surjective
rw [← range_eq_top, range_rangeRestrict]
/-- If `g` is surjective, then `rTensor Q g` is surjective -/
theorem LinearMap.rTensor_surjective (hg : Function.Surjective g) :
Function.Surjective (rTensor Q g) := by
intro z
induction z using TensorProduct.induction_on with
| zero => exact ⟨0, map_zero _⟩
| tmul p q =>
obtain ⟨n, rfl⟩ := hg p
exact ⟨n ⊗ₜ[R] q, rfl⟩
| add x y hx hy =>
obtain ⟨x, rfl⟩ := hx
obtain ⟨y, rfl⟩ := hy
exact ⟨x + y, map_add _ _ _⟩
| Mathlib/LinearAlgebra/TensorProduct/RightExactness.lean | 149 | 158 | theorem LinearMap.rTensor_range :
range (rTensor Q g) =
range (rTensor Q (Submodule.subtype (range g))) := by |
have : g = (Submodule.subtype _).comp g.rangeRestrict := rfl
nth_rewrite 1 [this]
rw [rTensor_comp]
apply range_comp_of_range_eq_top
rw [range_eq_top]
apply rTensor_surjective
rw [← range_eq_top, range_rangeRestrict]
|
/-
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.CategoryTheory.Abelian.Basic
import Mathlib.CategoryTheory.Preadditive.Opposite
import Mathlib.CategoryTheory.Limits.Opposites
#align_import category_theory.abelian.opposite from "leanprover-community/mathlib"@"a5ff45a1c92c278b03b52459a620cfd9c49ebc80"
/-!
# The opposite of an abelian category is abelian.
-/
noncomputable section
namespace CategoryTheory
open CategoryTheory.Limits
variable (C : Type*) [Category C] [Abelian C]
-- Porting note: these local instances do not seem to be necessary
--attribute [local instance]
-- hasFiniteLimits_of_hasEqualizers_and_finite_products
-- hasFiniteColimits_of_hasCoequalizers_and_finite_coproducts
-- Abelian.hasFiniteBiproducts
instance : Abelian Cᵒᵖ := by
-- Porting note: priorities of `Abelian.has_kernels` and `Abelian.has_cokernels` have
-- been set to 90 in `Abelian.Basic` in order to prevent a timeout here
exact {
normalMonoOfMono := fun f => normalMonoOfNormalEpiUnop _ (normalEpiOfEpi f.unop)
normalEpiOfEpi := fun f => normalEpiOfNormalMonoUnop _ (normalMonoOfMono f.unop) }
section
variable {C}
variable {X Y : C} (f : X ⟶ Y) {A B : Cᵒᵖ} (g : A ⟶ B)
-- TODO: Generalize (this will work whenever f has a cokernel)
-- (The abelian case is probably sufficient for most applications.)
/-- The kernel of `f.op` is the opposite of `cokernel f`. -/
@[simps]
def kernelOpUnop : (kernel f.op).unop ≅ cokernel f where
hom := (kernel.lift f.op (cokernel.π f).op <| by simp [← op_comp]).unop
inv :=
cokernel.desc f (kernel.ι f.op).unop <| by
rw [← f.unop_op, ← unop_comp, f.unop_op]
simp
hom_inv_id := by
rw [← unop_id, ← (cokernel.desc f _ _).unop_op, ← unop_comp]
congr 1
ext
simp [← op_comp]
inv_hom_id := by
ext
simp [← unop_comp]
#align category_theory.kernel_op_unop CategoryTheory.kernelOpUnop
-- TODO: Generalize (this will work whenever f has a kernel)
-- (The abelian case is probably sufficient for most applications.)
/-- The cokernel of `f.op` is the opposite of `kernel f`. -/
@[simps]
def cokernelOpUnop : (cokernel f.op).unop ≅ kernel f where
hom :=
kernel.lift f (cokernel.π f.op).unop <| by
rw [← f.unop_op, ← unop_comp, f.unop_op]
simp
inv := (cokernel.desc f.op (kernel.ι f).op <| by simp [← op_comp]).unop
hom_inv_id := by
rw [← unop_id, ← (kernel.lift f _ _).unop_op, ← unop_comp]
congr 1
ext
simp [← op_comp]
inv_hom_id := by
ext
simp [← unop_comp]
#align category_theory.cokernel_op_unop CategoryTheory.cokernelOpUnop
/-- The kernel of `g.unop` is the opposite of `cokernel g`. -/
@[simps!]
def kernelUnopOp : Opposite.op (kernel g.unop) ≅ cokernel g :=
(cokernelOpUnop g.unop).op
#align category_theory.kernel_unop_op CategoryTheory.kernelUnopOp
/-- The cokernel of `g.unop` is the opposite of `kernel g`. -/
@[simps!]
def cokernelUnopOp : Opposite.op (cokernel g.unop) ≅ kernel g :=
(kernelOpUnop g.unop).op
#align category_theory.cokernel_unop_op CategoryTheory.cokernelUnopOp
| Mathlib/CategoryTheory/Abelian/Opposite.lean | 95 | 98 | theorem cokernel.π_op :
(cokernel.π f.op).unop =
(cokernelOpUnop f).hom ≫ kernel.ι f ≫ eqToHom (Opposite.unop_op _).symm := by |
simp [cokernelOpUnop]
|
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Yakov Pechersky
-/
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Zip
import Mathlib.Data.Nat.Defs
import Mathlib.Data.List.Infix
#align_import data.list.rotate from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
/-!
# List rotation
This file proves basic results about `List.rotate`, the list rotation.
## Main declarations
* `List.IsRotated l₁ l₂`: States that `l₁` is a rotated version of `l₂`.
* `List.cyclicPermutations l`: The list of all cyclic permutants of `l`, up to the length of `l`.
## Tags
rotated, rotation, permutation, cycle
-/
universe u
variable {α : Type u}
open Nat Function
namespace List
| Mathlib/Data/List/Rotate.lean | 37 | 37 | theorem rotate_mod (l : List α) (n : ℕ) : l.rotate (n % l.length) = l.rotate n := by | simp [rotate]
|
/-
Copyright (c) 2022 Joël Riou. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Joël Riou
-/
import Mathlib.AlgebraicTopology.SimplicialObject
import Mathlib.CategoryTheory.Limits.Shapes.Products
#align_import algebraic_topology.split_simplicial_object from "leanprover-community/mathlib"@"dd1f8496baa505636a82748e6b652165ea888733"
/-!
# Split simplicial objects
In this file, we introduce the notion of split simplicial object.
If `C` is a category that has finite coproducts, a splitting
`s : Splitting X` of a simplicial object `X` in `C` consists
of the datum of a sequence of objects `s.N : ℕ → C` (which
we shall refer to as "nondegenerate simplices") and a
sequence of morphisms `s.ι n : s.N n → X _[n]` that have
the property that a certain canonical map identifies `X _[n]`
with the coproduct of objects `s.N i` indexed by all possible
epimorphisms `[n] ⟶ [i]` in `SimplexCategory`. (We do not
assume that the morphisms `s.ι n` are monomorphisms: in the
most common categories, this would be a consequence of the
axioms.)
Simplicial objects equipped with a splitting form a category
`SimplicialObject.Split C`.
## References
* [Stacks: Splitting simplicial objects] https://stacks.math.columbia.edu/tag/017O
-/
noncomputable section
open CategoryTheory CategoryTheory.Category CategoryTheory.Limits Opposite SimplexCategory
open Simplicial
universe u
variable {C : Type*} [Category C]
namespace SimplicialObject
namespace Splitting
/-- The index set which appears in the definition of split simplicial objects. -/
def IndexSet (Δ : SimplexCategoryᵒᵖ) :=
ΣΔ' : SimplexCategoryᵒᵖ, { α : Δ.unop ⟶ Δ'.unop // Epi α }
#align simplicial_object.splitting.index_set SimplicialObject.Splitting.IndexSet
namespace IndexSet
/-- The element in `Splitting.IndexSet Δ` attached to an epimorphism `f : Δ ⟶ Δ'`. -/
@[simps]
def mk {Δ Δ' : SimplexCategory} (f : Δ ⟶ Δ') [Epi f] : IndexSet (op Δ) :=
⟨op Δ', f, inferInstance⟩
#align simplicial_object.splitting.index_set.mk SimplicialObject.Splitting.IndexSet.mk
variable {Δ : SimplexCategoryᵒᵖ} (A : IndexSet Δ)
/-- The epimorphism in `SimplexCategory` associated to `A : Splitting.IndexSet Δ` -/
def e :=
A.2.1
#align simplicial_object.splitting.index_set.e SimplicialObject.Splitting.IndexSet.e
instance : Epi A.e :=
A.2.2
theorem ext' : A = ⟨A.1, ⟨A.e, A.2.2⟩⟩ := rfl
#align simplicial_object.splitting.index_set.ext' SimplicialObject.Splitting.IndexSet.ext'
theorem ext (A₁ A₂ : IndexSet Δ) (h₁ : A₁.1 = A₂.1) (h₂ : A₁.e ≫ eqToHom (by rw [h₁]) = A₂.e) :
A₁ = A₂ := by
rcases A₁ with ⟨Δ₁, ⟨α₁, hα₁⟩⟩
rcases A₂ with ⟨Δ₂, ⟨α₂, hα₂⟩⟩
simp only at h₁
subst h₁
simp only [eqToHom_refl, comp_id, IndexSet.e] at h₂
simp only [h₂]
#align simplicial_object.splitting.index_set.ext SimplicialObject.Splitting.IndexSet.ext
instance : Fintype (IndexSet Δ) :=
Fintype.ofInjective
(fun A =>
⟨⟨A.1.unop.len, Nat.lt_succ_iff.mpr (len_le_of_epi (inferInstance : Epi A.e))⟩,
A.e.toOrderHom⟩ :
IndexSet Δ → Sigma fun k : Fin (Δ.unop.len + 1) => Fin (Δ.unop.len + 1) → Fin (k + 1))
(by
rintro ⟨Δ₁, α₁⟩ ⟨Δ₂, α₂⟩ h₁
induction' Δ₁ using Opposite.rec with Δ₁
induction' Δ₂ using Opposite.rec with Δ₂
simp only [unop_op, Sigma.mk.inj_iff, Fin.mk.injEq] at h₁
have h₂ : Δ₁ = Δ₂ := by
ext1
simpa only [Fin.mk_eq_mk] using h₁.1
subst h₂
refine ext _ _ rfl ?_
ext : 2
exact eq_of_heq h₁.2)
variable (Δ)
/-- The distinguished element in `Splitting.IndexSet Δ` which corresponds to the
identity of `Δ`. -/
@[simps]
def id : IndexSet Δ :=
⟨Δ, ⟨𝟙 _, by infer_instance⟩⟩
#align simplicial_object.splitting.index_set.id SimplicialObject.Splitting.IndexSet.id
instance : Inhabited (IndexSet Δ) :=
⟨id Δ⟩
variable {Δ}
/-- The condition that an element `Splitting.IndexSet Δ` is the distinguished
element `Splitting.IndexSet.Id Δ`. -/
@[simp]
def EqId : Prop :=
A = id _
#align simplicial_object.splitting.index_set.eq_id SimplicialObject.Splitting.IndexSet.EqId
theorem eqId_iff_eq : A.EqId ↔ A.1 = Δ := by
constructor
· intro h
dsimp at h
rw [h]
rfl
· intro h
rcases A with ⟨_, ⟨f, hf⟩⟩
simp only at h
subst h
refine ext _ _ rfl ?_
haveI := hf
simp only [eqToHom_refl, comp_id]
exact eq_id_of_epi f
#align simplicial_object.splitting.index_set.eq_id_iff_eq SimplicialObject.Splitting.IndexSet.eqId_iff_eq
| Mathlib/AlgebraicTopology/SplitSimplicialObject.lean | 143 | 151 | theorem eqId_iff_len_eq : A.EqId ↔ A.1.unop.len = Δ.unop.len := by |
rw [eqId_iff_eq]
constructor
· intro h
rw [h]
· intro h
rw [← unop_inj_iff]
ext
exact h
|
/-
Copyright (c) 2019 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Yourong Zang
-/
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Analysis.Calculus.Deriv.Linear
import Mathlib.Analysis.Complex.Conformal
import Mathlib.Analysis.Calculus.Conformal.NormedSpace
#align_import analysis.complex.real_deriv from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
/-! # Real differentiability of complex-differentiable functions
`HasDerivAt.real_of_complex` expresses that, if a function on `ℂ` is differentiable (over `ℂ`),
then its restriction to `ℝ` is differentiable over `ℝ`, with derivative the real part of the
complex derivative.
`DifferentiableAt.conformalAt` states that a real-differentiable function with a nonvanishing
differential from the complex plane into an arbitrary complex-normed space is conformal at a point
if it's holomorphic at that point. This is a version of Cauchy-Riemann equations.
`conformalAt_iff_differentiableAt_or_differentiableAt_comp_conj` proves that a real-differential
function with a nonvanishing differential between the complex plane is conformal at a point if and
only if it's holomorphic or antiholomorphic at that point.
## TODO
* The classical form of Cauchy-Riemann equations
* On a connected open set `u`, a function which is `ConformalAt` each point is either holomorphic
throughout or antiholomorphic throughout.
## Warning
We do NOT require conformal functions to be orientation-preserving in this file.
-/
section RealDerivOfComplex
/-! ### Differentiability of the restriction to `ℝ` of complex functions -/
open Complex
variable {e : ℂ → ℂ} {e' : ℂ} {z : ℝ}
/-- If a complex function is differentiable at a real point, then the induced real function is also
differentiable at this point, with a derivative equal to the real part of the complex derivative. -/
theorem HasStrictDerivAt.real_of_complex (h : HasStrictDerivAt e e' z) :
HasStrictDerivAt (fun x : ℝ => (e x).re) e'.re z := by
have A : HasStrictFDerivAt ((↑) : ℝ → ℂ) ofRealCLM z := ofRealCLM.hasStrictFDerivAt
have B :
HasStrictFDerivAt e ((ContinuousLinearMap.smulRight 1 e' : ℂ →L[ℂ] ℂ).restrictScalars ℝ)
(ofRealCLM z) :=
h.hasStrictFDerivAt.restrictScalars ℝ
have C : HasStrictFDerivAt re reCLM (e (ofRealCLM z)) := reCLM.hasStrictFDerivAt
-- Porting note: this should be by:
-- simpa using (C.comp z (B.comp z A)).hasStrictDerivAt
-- but for some reason simp can not use `ContinuousLinearMap.comp_apply`
convert (C.comp z (B.comp z A)).hasStrictDerivAt
rw [ContinuousLinearMap.comp_apply, ContinuousLinearMap.comp_apply]
simp
#align has_strict_deriv_at.real_of_complex HasStrictDerivAt.real_of_complex
/-- If a complex function `e` is differentiable at a real point, then the function `ℝ → ℝ` given by
the real part of `e` is also differentiable at this point, with a derivative equal to the real part
of the complex derivative. -/
theorem HasDerivAt.real_of_complex (h : HasDerivAt e e' z) :
HasDerivAt (fun x : ℝ => (e x).re) e'.re z := by
have A : HasFDerivAt ((↑) : ℝ → ℂ) ofRealCLM z := ofRealCLM.hasFDerivAt
have B :
HasFDerivAt e ((ContinuousLinearMap.smulRight 1 e' : ℂ →L[ℂ] ℂ).restrictScalars ℝ)
(ofRealCLM z) :=
h.hasFDerivAt.restrictScalars ℝ
have C : HasFDerivAt re reCLM (e (ofRealCLM z)) := reCLM.hasFDerivAt
-- Porting note: this should be by:
-- simpa using (C.comp z (B.comp z A)).hasStrictDerivAt
-- but for some reason simp can not use `ContinuousLinearMap.comp_apply`
convert (C.comp z (B.comp z A)).hasDerivAt
rw [ContinuousLinearMap.comp_apply, ContinuousLinearMap.comp_apply]
simp
#align has_deriv_at.real_of_complex HasDerivAt.real_of_complex
theorem ContDiffAt.real_of_complex {n : ℕ∞} (h : ContDiffAt ℂ n e z) :
ContDiffAt ℝ n (fun x : ℝ => (e x).re) z := by
have A : ContDiffAt ℝ n ((↑) : ℝ → ℂ) z := ofRealCLM.contDiff.contDiffAt
have B : ContDiffAt ℝ n e z := h.restrict_scalars ℝ
have C : ContDiffAt ℝ n re (e z) := reCLM.contDiff.contDiffAt
exact C.comp z (B.comp z A)
#align cont_diff_at.real_of_complex ContDiffAt.real_of_complex
theorem ContDiff.real_of_complex {n : ℕ∞} (h : ContDiff ℂ n e) :
ContDiff ℝ n fun x : ℝ => (e x).re :=
contDiff_iff_contDiffAt.2 fun _ => h.contDiffAt.real_of_complex
#align cont_diff.real_of_complex ContDiff.real_of_complex
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E]
theorem HasStrictDerivAt.complexToReal_fderiv' {f : ℂ → E} {x : ℂ} {f' : E}
(h : HasStrictDerivAt f f' x) :
HasStrictFDerivAt f (reCLM.smulRight f' + I • imCLM.smulRight f') x := by
simpa only [Complex.restrictScalars_one_smulRight'] using
h.hasStrictFDerivAt.restrictScalars ℝ
#align has_strict_deriv_at.complex_to_real_fderiv' HasStrictDerivAt.complexToReal_fderiv'
theorem HasDerivAt.complexToReal_fderiv' {f : ℂ → E} {x : ℂ} {f' : E} (h : HasDerivAt f f' x) :
HasFDerivAt f (reCLM.smulRight f' + I • imCLM.smulRight f') x := by
simpa only [Complex.restrictScalars_one_smulRight'] using h.hasFDerivAt.restrictScalars ℝ
#align has_deriv_at.complex_to_real_fderiv' HasDerivAt.complexToReal_fderiv'
| Mathlib/Analysis/Complex/RealDeriv.lean | 111 | 115 | theorem HasDerivWithinAt.complexToReal_fderiv' {f : ℂ → E} {s : Set ℂ} {x : ℂ} {f' : E}
(h : HasDerivWithinAt f f' s x) :
HasFDerivWithinAt f (reCLM.smulRight f' + I • imCLM.smulRight f') s x := by |
simpa only [Complex.restrictScalars_one_smulRight'] using
h.hasFDerivWithinAt.restrictScalars ℝ
|
/-
Copyright (c) 2014 Parikshit Khanna. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Parikshit Khanna, Jeremy Avigad, Leonardo de Moura, Floris van Doorn, Mario Carneiro
-/
import Mathlib.Data.List.Basic
#align_import data.list.count from "leanprover-community/mathlib"@"65a1391a0106c9204fe45bc73a039f056558cb83"
/-!
# Counting in lists
This file proves basic properties of `List.countP` and `List.count`, which count the number of
elements of a list satisfying a predicate and equal to a given element respectively. Their
definitions can be found in `Batteries.Data.List.Basic`.
-/
assert_not_exists Set.range
assert_not_exists GroupWithZero
assert_not_exists Ring
open Nat
variable {α : Type*} {l : List α}
namespace List
section CountP
variable (p q : α → Bool)
#align list.countp_nil List.countP_nil
#align list.countp_cons_of_pos List.countP_cons_of_pos
#align list.countp_cons_of_neg List.countP_cons_of_neg
#align list.countp_cons List.countP_cons
#align list.length_eq_countp_add_countp List.length_eq_countP_add_countP
#align list.countp_eq_length_filter List.countP_eq_length_filter
#align list.countp_le_length List.countP_le_length
#align list.countp_append List.countP_append
#align list.countp_pos List.countP_pos
#align list.countp_eq_zero List.countP_eq_zero
#align list.countp_eq_length List.countP_eq_length
| Mathlib/Data/List/Count.lean | 54 | 57 | theorem length_filter_lt_length_iff_exists (l) :
length (filter p l) < length l ↔ ∃ x ∈ l, ¬p x := by |
simpa [length_eq_countP_add_countP p l, countP_eq_length_filter] using
countP_pos (fun x => ¬p x) (l := l)
|
/-
Copyright (c) 2019 Jan-David Salchow. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jan-David Salchow, Sébastien Gouëzel, Jean Lo
-/
import Mathlib.Analysis.NormedSpace.OperatorNorm.Bilinear
import Mathlib.Analysis.NormedSpace.OperatorNorm.NNNorm
import Mathlib.Analysis.NormedSpace.Span
/-!
# Operator norm for maps on normed spaces
This file contains statements about operator norm for which it really matters that the
underlying space has a norm (rather than just a seminorm).
-/
suppress_compilation
open Bornology
open Filter hiding map_smul
open scoped Classical NNReal Topology Uniformity
-- the `ₗ` subscript variables are for special cases about linear (as opposed to semilinear) maps
variable {𝕜 𝕜₂ 𝕜₃ E Eₗ F Fₗ G Gₗ 𝓕 : Type*}
section Normed
variable [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G]
[NormedAddCommGroup Fₗ]
open Metric ContinuousLinearMap
section
variable [NontriviallyNormedField 𝕜] [NontriviallyNormedField 𝕜₂] [NontriviallyNormedField 𝕜₃]
[NormedSpace 𝕜 E] [NormedSpace 𝕜₂ F] [NormedSpace 𝕜₃ G] [NormedSpace 𝕜 Fₗ] (c : 𝕜)
{σ₁₂ : 𝕜 →+* 𝕜₂} {σ₂₃ : 𝕜₂ →+* 𝕜₃} (f g : E →SL[σ₁₂] F) (x y z : E)
namespace LinearMap
theorem bound_of_shell [RingHomIsometric σ₁₂] (f : E →ₛₗ[σ₁₂] F) {ε C : ℝ} (ε_pos : 0 < ε) {c : 𝕜}
(hc : 1 < ‖c‖) (hf : ∀ x, ε / ‖c‖ ≤ ‖x‖ → ‖x‖ < ε → ‖f x‖ ≤ C * ‖x‖) (x : E) :
‖f x‖ ≤ C * ‖x‖ := by
by_cases hx : x = 0; · simp [hx]
exact SemilinearMapClass.bound_of_shell_semi_normed f ε_pos hc hf (norm_ne_zero_iff.2 hx)
#align linear_map.bound_of_shell LinearMap.bound_of_shell
/-- `LinearMap.bound_of_ball_bound'` is a version of this lemma over a field satisfying `RCLike`
that produces a concrete bound.
-/
| Mathlib/Analysis/NormedSpace/OperatorNorm/NormedSpace.lean | 52 | 64 | theorem bound_of_ball_bound {r : ℝ} (r_pos : 0 < r) (c : ℝ) (f : E →ₗ[𝕜] Fₗ)
(h : ∀ z ∈ Metric.ball (0 : E) r, ‖f z‖ ≤ c) : ∃ C, ∀ z : E, ‖f z‖ ≤ C * ‖z‖ := by |
cases' @NontriviallyNormedField.non_trivial 𝕜 _ with k hk
use c * (‖k‖ / r)
intro z
refine bound_of_shell _ r_pos hk (fun x hko hxo => ?_) _
calc
‖f x‖ ≤ c := h _ (mem_ball_zero_iff.mpr hxo)
_ ≤ c * (‖x‖ * ‖k‖ / r) := le_mul_of_one_le_right ?_ ?_
_ = _ := by ring
· exact le_trans (norm_nonneg _) (h 0 (by simp [r_pos]))
· rw [div_le_iff (zero_lt_one.trans hk)] at hko
exact (one_le_div r_pos).mpr hko
|
/-
Copyright (c) 2016 Jeremy Avigad. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Jeremy Avigad
-/
import Mathlib.Data.Int.Bitwise
import Mathlib.Data.Int.Order.Lemmas
import Mathlib.Data.Set.Function
import Mathlib.Order.Interval.Set.Basic
#align_import data.int.lemmas from "leanprover-community/mathlib"@"09597669f02422ed388036273d8848119699c22f"
/-!
# Miscellaneous lemmas about the integers
This file contains lemmas about integers, which require further imports than
`Data.Int.Basic` or `Data.Int.Order`.
-/
open Nat
namespace Int
theorem le_natCast_sub (m n : ℕ) : (m - n : ℤ) ≤ ↑(m - n : ℕ) := by
by_cases h : m ≥ n
· exact le_of_eq (Int.ofNat_sub h).symm
· simp [le_of_not_ge h, ofNat_le]
#align int.le_coe_nat_sub Int.le_natCast_sub
/-! ### `succ` and `pred` -/
-- Porting note (#10618): simp can prove this @[simp]
theorem succ_natCast_pos (n : ℕ) : 0 < (n : ℤ) + 1 :=
lt_add_one_iff.mpr (by simp)
#align int.succ_coe_nat_pos Int.succ_natCast_pos
/-! ### `natAbs` -/
variable {a b : ℤ} {n : ℕ}
theorem natAbs_eq_iff_sq_eq {a b : ℤ} : a.natAbs = b.natAbs ↔ a ^ 2 = b ^ 2 := by
rw [sq, sq]
exact natAbs_eq_iff_mul_self_eq
#align int.nat_abs_eq_iff_sq_eq Int.natAbs_eq_iff_sq_eq
| Mathlib/Data/Int/Lemmas.lean | 50 | 52 | theorem natAbs_lt_iff_sq_lt {a b : ℤ} : a.natAbs < b.natAbs ↔ a ^ 2 < b ^ 2 := by |
rw [sq, sq]
exact natAbs_lt_iff_mul_self_lt
|
/-
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.Quaternion
import Mathlib.Tactic.Ring
#align_import algebra.quaternion_basis from "leanprover-community/mathlib"@"3aa5b8a9ed7a7cabd36e6e1d022c9858ab8a8c2d"
/-!
# Basis on a quaternion-like algebra
## Main definitions
* `QuaternionAlgebra.Basis A c₁ c₂`: a basis for a subspace of an `R`-algebra `A` that has the
same algebra structure as `ℍ[R,c₁,c₂]`.
* `QuaternionAlgebra.Basis.self R`: the canonical basis for `ℍ[R,c₁,c₂]`.
* `QuaternionAlgebra.Basis.compHom b f`: transform a basis `b` by an AlgHom `f`.
* `QuaternionAlgebra.lift`: Define an `AlgHom` out of `ℍ[R,c₁,c₂]` by its action on the basis
elements `i`, `j`, and `k`. In essence, this is a universal property. Analogous to `Complex.lift`,
but takes a bundled `QuaternionAlgebra.Basis` instead of just a `Subtype` as the amount of
data / proves is non-negligible.
-/
open Quaternion
namespace QuaternionAlgebra
/-- A quaternion basis contains the information both sufficient and necessary to construct an
`R`-algebra homomorphism from `ℍ[R,c₁,c₂]` to `A`; or equivalently, a surjective
`R`-algebra homomorphism from `ℍ[R,c₁,c₂]` to an `R`-subalgebra of `A`.
Note that for definitional convenience, `k` is provided as a field even though `i_mul_j` fully
determines it. -/
structure Basis {R : Type*} (A : Type*) [CommRing R] [Ring A] [Algebra R A] (c₁ c₂ : R) where
(i j k : A)
i_mul_i : i * i = c₁ • (1 : A)
j_mul_j : j * j = c₂ • (1 : A)
i_mul_j : i * j = k
j_mul_i : j * i = -k
#align quaternion_algebra.basis QuaternionAlgebra.Basis
variable {R : Type*} {A B : Type*} [CommRing R] [Ring A] [Ring B] [Algebra R A] [Algebra R B]
variable {c₁ c₂ : R}
namespace Basis
/-- Since `k` is redundant, it is not necessary to show `q₁.k = q₂.k` when showing `q₁ = q₂`. -/
@[ext]
protected theorem ext ⦃q₁ q₂ : Basis A c₁ c₂⦄ (hi : q₁.i = q₂.i) (hj : q₁.j = q₂.j) : q₁ = q₂ := by
cases q₁; rename_i q₁_i_mul_j _
cases q₂; rename_i q₂_i_mul_j _
congr
rw [← q₁_i_mul_j, ← q₂_i_mul_j]
congr
#align quaternion_algebra.basis.ext QuaternionAlgebra.Basis.ext
variable (R)
/-- There is a natural quaternionic basis for the `QuaternionAlgebra`. -/
@[simps i j k]
protected def self : Basis ℍ[R,c₁,c₂] c₁ c₂ where
i := ⟨0, 1, 0, 0⟩
i_mul_i := by ext <;> simp
j := ⟨0, 0, 1, 0⟩
j_mul_j := by ext <;> simp
k := ⟨0, 0, 0, 1⟩
i_mul_j := by ext <;> simp
j_mul_i := by ext <;> simp
#align quaternion_algebra.basis.self QuaternionAlgebra.Basis.self
variable {R}
instance : Inhabited (Basis ℍ[R,c₁,c₂] c₁ c₂) :=
⟨Basis.self R⟩
variable (q : Basis A c₁ c₂)
attribute [simp] i_mul_i j_mul_j i_mul_j j_mul_i
@[simp]
theorem i_mul_k : q.i * q.k = c₁ • q.j := by
rw [← i_mul_j, ← mul_assoc, i_mul_i, smul_mul_assoc, one_mul]
#align quaternion_algebra.basis.i_mul_k QuaternionAlgebra.Basis.i_mul_k
@[simp]
| Mathlib/Algebra/QuaternionBasis.lean | 89 | 90 | theorem k_mul_i : q.k * q.i = -c₁ • q.j := by |
rw [← i_mul_j, mul_assoc, j_mul_i, mul_neg, i_mul_k, neg_smul]
|
/-
Copyright (c) 2020 Johan Commelin. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johan Commelin, Eric Wieser
-/
import Mathlib.Algebra.DirectSum.Internal
import Mathlib.Algebra.GradedMonoid
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Equiv
import Mathlib.Algebra.MvPolynomial.Variables
import Mathlib.RingTheory.MvPolynomial.WeightedHomogeneous
import Mathlib.Algebra.Polynomial.Roots
#align_import ring_theory.mv_polynomial.homogeneous from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
/-!
# Homogeneous polynomials
A multivariate polynomial `φ` is homogeneous of degree `n`
if all monomials occurring in `φ` have degree `n`.
## Main definitions/lemmas
* `IsHomogeneous φ n`: a predicate that asserts that `φ` is homogeneous of degree `n`.
* `homogeneousSubmodule σ R n`: the submodule of homogeneous polynomials of degree `n`.
* `homogeneousComponent n`: the additive morphism that projects polynomials onto
their summand that is homogeneous of degree `n`.
* `sum_homogeneousComponent`: every polynomial is the sum of its homogeneous components.
-/
namespace MvPolynomial
variable {σ : Type*} {τ : Type*} {R : Type*} {S : Type*}
/-
TODO
* show that `MvPolynomial σ R ≃ₐ[R] ⨁ i, homogeneousSubmodule σ R i`
-/
/-- The degree of a monomial. -/
def degree (d : σ →₀ ℕ) := ∑ i ∈ d.support, d i
theorem weightedDegree_one (d : σ →₀ ℕ) :
weightedDegree 1 d = degree d := by
simp [weightedDegree, degree, Finsupp.total, Finsupp.sum]
/-- A multivariate polynomial `φ` is homogeneous of degree `n`
if all monomials occurring in `φ` have degree `n`. -/
def IsHomogeneous [CommSemiring R] (φ : MvPolynomial σ R) (n : ℕ) :=
IsWeightedHomogeneous 1 φ n
#align mv_polynomial.is_homogeneous MvPolynomial.IsHomogeneous
variable [CommSemiring R]
theorem weightedTotalDegree_one (φ : MvPolynomial σ R) :
weightedTotalDegree (1 : σ → ℕ) φ = φ.totalDegree := by
simp only [totalDegree, weightedTotalDegree, weightedDegree, LinearMap.toAddMonoidHom_coe,
Finsupp.total, Pi.one_apply, Finsupp.coe_lsum, LinearMap.coe_smulRight, LinearMap.id_coe,
id, Algebra.id.smul_eq_mul, mul_one]
variable (σ R)
/-- The submodule of homogeneous `MvPolynomial`s of degree `n`. -/
def homogeneousSubmodule (n : ℕ) : Submodule R (MvPolynomial σ R) where
carrier := { x | x.IsHomogeneous n }
smul_mem' r a ha c hc := by
rw [coeff_smul] at hc
apply ha
intro h
apply hc
rw [h]
exact smul_zero r
zero_mem' d hd := False.elim (hd <| coeff_zero _)
add_mem' {a b} ha hb c hc := by
rw [coeff_add] at hc
obtain h | h : coeff c a ≠ 0 ∨ coeff c b ≠ 0 := by
contrapose! hc
simp only [hc, add_zero]
· exact ha h
· exact hb h
#align mv_polynomial.homogeneous_submodule MvPolynomial.homogeneousSubmodule
@[simp]
lemma weightedHomogeneousSubmodule_one (n : ℕ) :
weightedHomogeneousSubmodule R 1 n = homogeneousSubmodule σ R n := rfl
variable {σ R}
@[simp]
theorem mem_homogeneousSubmodule [CommSemiring R] (n : ℕ) (p : MvPolynomial σ R) :
p ∈ homogeneousSubmodule σ R n ↔ p.IsHomogeneous n := Iff.rfl
#align mv_polynomial.mem_homogeneous_submodule MvPolynomial.mem_homogeneousSubmodule
variable (σ R)
/-- While equal, the former has a convenient definitional reduction. -/
theorem homogeneousSubmodule_eq_finsupp_supported [CommSemiring R] (n : ℕ) :
homogeneousSubmodule σ R n = Finsupp.supported _ R { d | degree d = n } := by
simp_rw [← weightedDegree_one]
exact weightedHomogeneousSubmodule_eq_finsupp_supported R 1 n
#align mv_polynomial.homogeneous_submodule_eq_finsupp_supported MvPolynomial.homogeneousSubmodule_eq_finsupp_supported
variable {σ R}
theorem homogeneousSubmodule_mul [CommSemiring R] (m n : ℕ) :
homogeneousSubmodule σ R m * homogeneousSubmodule σ R n ≤ homogeneousSubmodule σ R (m + n) :=
weightedHomogeneousSubmodule_mul 1 m n
#align mv_polynomial.homogeneous_submodule_mul MvPolynomial.homogeneousSubmodule_mul
section
variable [CommSemiring R]
theorem isHomogeneous_monomial {d : σ →₀ ℕ} (r : R) {n : ℕ} (hn : degree d = n) :
IsHomogeneous (monomial d r) n := by
simp_rw [← weightedDegree_one] at hn
exact isWeightedHomogeneous_monomial 1 d r hn
#align mv_polynomial.is_homogeneous_monomial MvPolynomial.isHomogeneous_monomial
variable (σ)
theorem totalDegree_zero_iff_isHomogeneous {p : MvPolynomial σ R} :
p.totalDegree = 0 ↔ IsHomogeneous p 0 := by
rw [← weightedTotalDegree_one,
← isWeightedHomogeneous_zero_iff_weightedTotalDegree_eq_zero, IsHomogeneous]
alias ⟨isHomogeneous_of_totalDegree_zero, _⟩ := totalDegree_zero_iff_isHomogeneous
#align mv_polynomial.is_homogeneous_of_total_degree_zero MvPolynomial.isHomogeneous_of_totalDegree_zero
theorem isHomogeneous_C (r : R) : IsHomogeneous (C r : MvPolynomial σ R) 0 := by
apply isHomogeneous_monomial
simp only [degree, Finsupp.zero_apply, Finset.sum_const_zero]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.is_homogeneous_C MvPolynomial.isHomogeneous_C
variable (R)
theorem isHomogeneous_zero (n : ℕ) : IsHomogeneous (0 : MvPolynomial σ R) n :=
(homogeneousSubmodule σ R n).zero_mem
#align mv_polynomial.is_homogeneous_zero MvPolynomial.isHomogeneous_zero
theorem isHomogeneous_one : IsHomogeneous (1 : MvPolynomial σ R) 0 :=
isHomogeneous_C _ _
#align mv_polynomial.is_homogeneous_one MvPolynomial.isHomogeneous_one
variable {σ}
| Mathlib/RingTheory/MvPolynomial/Homogeneous.lean | 150 | 153 | theorem isHomogeneous_X (i : σ) : IsHomogeneous (X i : MvPolynomial σ R) 1 := by |
apply isHomogeneous_monomial
rw [degree, Finsupp.support_single_ne_zero _ one_ne_zero, Finset.sum_singleton]
exact Finsupp.single_eq_same
|
/-
Copyright (c) 2023 Alex Keizer. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Alex Keizer
-/
import Mathlib.Data.Vector.Basic
import Mathlib.Data.Vector.Snoc
/-!
This file establishes a set of normalization lemmas for `map`/`mapAccumr` operations on vectors
-/
set_option autoImplicit true
namespace Vector
/-!
## Fold nested `mapAccumr`s into one
-/
section Fold
section Unary
variable (xs : Vector α n) (f₁ : β → σ₁ → σ₁ × γ) (f₂ : α → σ₂ → σ₂ × β)
@[simp]
theorem mapAccumr_mapAccumr :
mapAccumr f₁ (mapAccumr f₂ xs s₂).snd s₁
= let m := (mapAccumr (fun x s =>
let r₂ := f₂ x s.snd
let r₁ := f₁ r₂.snd s.fst
((r₁.fst, r₂.fst), r₁.snd)
) xs (s₁, s₂))
(m.fst.fst, m.snd) := by
induction xs using Vector.revInductionOn generalizing s₁ s₂ <;> simp_all
@[simp]
theorem mapAccumr_map (f₂ : α → β) :
(mapAccumr f₁ (map f₂ xs) s) = (mapAccumr (fun x s => f₁ (f₂ x) s) xs s) := by
induction xs using Vector.revInductionOn generalizing s <;> simp_all
@[simp]
theorem map_mapAccumr (f₁ : β → γ) :
(map f₁ (mapAccumr f₂ xs s).snd) = (mapAccumr (fun x s =>
let r := (f₂ x s); (r.fst, f₁ r.snd)
) xs s).snd := by
induction xs using Vector.revInductionOn generalizing s <;> simp_all
@[simp]
theorem map_map (f₁ : β → γ) (f₂ : α → β) :
map f₁ (map f₂ xs) = map (fun x => f₁ <| f₂ x) xs := by
induction xs <;> simp_all
end Unary
section Binary
variable (xs : Vector α n) (ys : Vector β n)
@[simp]
theorem mapAccumr₂_mapAccumr_left (f₁ : γ → β → σ₁ → σ₁ × ζ) (f₂ : α → σ₂ → σ₂ × γ) :
(mapAccumr₂ f₁ (mapAccumr f₂ xs s₂).snd ys s₁)
= let m := (mapAccumr₂ (fun x y s =>
let r₂ := f₂ x s.snd
let r₁ := f₁ r₂.snd y s.fst
((r₁.fst, r₂.fst), r₁.snd)
) xs ys (s₁, s₂))
(m.fst.fst, m.snd) := by
induction xs, ys using Vector.revInductionOn₂ generalizing s₁ s₂ <;> simp_all
@[simp]
| Mathlib/Data/Vector/MapLemmas.lean | 71 | 73 | theorem map₂_map_left (f₁ : γ → β → ζ) (f₂ : α → γ) :
map₂ f₁ (map f₂ xs) ys = map₂ (fun x y => f₁ (f₂ x) y) xs ys := by |
induction xs, ys using Vector.revInductionOn₂ <;> simp_all
|
/-
Copyright (c) 2020 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel, Floris van Doorn
-/
import Mathlib.Geometry.Manifold.ContMDiff.Basic
/-!
## Smoothness of charts and local structomorphisms
We show that the model with corners, charts, extended charts and their inverses are smooth,
and that local structomorphisms are smooth with smooth inverses.
-/
open Set ChartedSpace SmoothManifoldWithCorners
open scoped Manifold
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
-- declare a smooth manifold `M` over the pair `(E, H)`.
{E : Type*}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
{I : ModelWithCorners 𝕜 E H} {M : Type*} [TopologicalSpace M] [ChartedSpace H M]
[SmoothManifoldWithCorners I M]
-- declare a smooth manifold `M'` over the pair `(E', H')`.
{E' : Type*}
[NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H']
{I' : ModelWithCorners 𝕜 E' H'} {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M']
[SmoothManifoldWithCorners I' M']
-- declare functions, sets, points and smoothness indices
{e : PartialHomeomorph M H} {x : M} {m n : ℕ∞}
/-! ### Atlas members are smooth -/
section Atlas
theorem contMDiff_model : ContMDiff I 𝓘(𝕜, E) n I := by
intro x
refine (contMDiffAt_iff _ _).mpr ⟨I.continuousAt, ?_⟩
simp only [mfld_simps]
refine contDiffWithinAt_id.congr_of_eventuallyEq ?_ ?_
· exact Filter.eventuallyEq_of_mem self_mem_nhdsWithin fun x₂ => I.right_inv
simp_rw [Function.comp_apply, I.left_inv, Function.id_def]
#align cont_mdiff_model contMDiff_model
| Mathlib/Geometry/Manifold/ContMDiff/Atlas.lean | 45 | 49 | theorem contMDiffOn_model_symm : ContMDiffOn 𝓘(𝕜, E) I n I.symm (range I) := by |
rw [contMDiffOn_iff]
refine ⟨I.continuousOn_symm, fun x y => ?_⟩
simp only [mfld_simps]
exact contDiffOn_id.congr fun x' => I.right_inv
|
/-
Copyright (c) 2021 Yaël Dillies. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yaël Dillies
-/
import Mathlib.Order.Interval.Finset.Nat
#align_import data.fin.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
/-!
# Finite intervals in `Fin n`
This file proves that `Fin n` is a `LocallyFiniteOrder` and calculates the cardinality of its
intervals as Finsets and Fintypes.
-/
assert_not_exists MonoidWithZero
namespace Fin
variable {n : ℕ} (a b : Fin n)
@[simp, norm_cast]
theorem coe_sup : ↑(a ⊔ b) = (a ⊔ b : ℕ) := rfl
#align fin.coe_sup Fin.coe_sup
@[simp, norm_cast]
theorem coe_inf : ↑(a ⊓ b) = (a ⊓ b : ℕ) := rfl
#align fin.coe_inf Fin.coe_inf
@[simp, norm_cast]
theorem coe_max : ↑(max a b) = (max a b : ℕ) := rfl
#align fin.coe_max Fin.coe_max
@[simp, norm_cast]
theorem coe_min : ↑(min a b) = (min a b : ℕ) := rfl
#align fin.coe_min Fin.coe_min
end Fin
open Finset Fin Function
namespace Fin
variable (n : ℕ)
instance instLocallyFiniteOrder : LocallyFiniteOrder (Fin n) :=
OrderIso.locallyFiniteOrder Fin.orderIsoSubtype
instance instLocallyFiniteOrderBot : LocallyFiniteOrderBot (Fin n) :=
OrderIso.locallyFiniteOrderBot Fin.orderIsoSubtype
instance instLocallyFiniteOrderTop : ∀ n, LocallyFiniteOrderTop (Fin n)
| 0 => IsEmpty.toLocallyFiniteOrderTop
| _ + 1 => inferInstance
variable {n} (a b : Fin n)
theorem Icc_eq_finset_subtype : Icc a b = (Icc (a : ℕ) b).fin n :=
rfl
#align fin.Icc_eq_finset_subtype Fin.Icc_eq_finset_subtype
theorem Ico_eq_finset_subtype : Ico a b = (Ico (a : ℕ) b).fin n :=
rfl
#align fin.Ico_eq_finset_subtype Fin.Ico_eq_finset_subtype
theorem Ioc_eq_finset_subtype : Ioc a b = (Ioc (a : ℕ) b).fin n :=
rfl
#align fin.Ioc_eq_finset_subtype Fin.Ioc_eq_finset_subtype
theorem Ioo_eq_finset_subtype : Ioo a b = (Ioo (a : ℕ) b).fin n :=
rfl
#align fin.Ioo_eq_finset_subtype Fin.Ioo_eq_finset_subtype
theorem uIcc_eq_finset_subtype : uIcc a b = (uIcc (a : ℕ) b).fin n := rfl
#align fin.uIcc_eq_finset_subtype Fin.uIcc_eq_finset_subtype
@[simp]
theorem map_valEmbedding_Icc : (Icc a b).map Fin.valEmbedding = Icc ↑a ↑b := by
simp [Icc_eq_finset_subtype, Finset.fin, Finset.map_map, Icc_filter_lt_of_lt_right]
#align fin.map_subtype_embedding_Icc Fin.map_valEmbedding_Icc
@[simp]
theorem map_valEmbedding_Ico : (Ico a b).map Fin.valEmbedding = Ico ↑a ↑b := by
simp [Ico_eq_finset_subtype, Finset.fin, Finset.map_map]
#align fin.map_subtype_embedding_Ico Fin.map_valEmbedding_Ico
@[simp]
theorem map_valEmbedding_Ioc : (Ioc a b).map Fin.valEmbedding = Ioc ↑a ↑b := by
simp [Ioc_eq_finset_subtype, Finset.fin, Finset.map_map, Ioc_filter_lt_of_lt_right]
#align fin.map_subtype_embedding_Ioc Fin.map_valEmbedding_Ioc
@[simp]
theorem map_valEmbedding_Ioo : (Ioo a b).map Fin.valEmbedding = Ioo ↑a ↑b := by
simp [Ioo_eq_finset_subtype, Finset.fin, Finset.map_map]
#align fin.map_subtype_embedding_Ioo Fin.map_valEmbedding_Ioo
@[simp]
theorem map_subtype_embedding_uIcc : (uIcc a b).map valEmbedding = uIcc ↑a ↑b :=
map_valEmbedding_Icc _ _
#align fin.map_subtype_embedding_uIcc Fin.map_subtype_embedding_uIcc
@[simp]
theorem card_Icc : (Icc a b).card = b + 1 - a := by
rw [← Nat.card_Icc, ← map_valEmbedding_Icc, card_map]
#align fin.card_Icc Fin.card_Icc
@[simp]
theorem card_Ico : (Ico a b).card = b - a := by
rw [← Nat.card_Ico, ← map_valEmbedding_Ico, card_map]
#align fin.card_Ico Fin.card_Ico
@[simp]
theorem card_Ioc : (Ioc a b).card = b - a := by
rw [← Nat.card_Ioc, ← map_valEmbedding_Ioc, card_map]
#align fin.card_Ioc Fin.card_Ioc
@[simp]
theorem card_Ioo : (Ioo a b).card = b - a - 1 := by
rw [← Nat.card_Ioo, ← map_valEmbedding_Ioo, card_map]
#align fin.card_Ioo Fin.card_Ioo
@[simp]
theorem card_uIcc : (uIcc a b).card = (b - a : ℤ).natAbs + 1 := by
rw [← Nat.card_uIcc, ← map_subtype_embedding_uIcc, card_map]
#align fin.card_uIcc Fin.card_uIcc
-- Porting note (#10618): simp can prove this
-- @[simp]
theorem card_fintypeIcc : Fintype.card (Set.Icc a b) = b + 1 - a := by
rw [← card_Icc, Fintype.card_ofFinset]
#align fin.card_fintype_Icc Fin.card_fintypeIcc
-- Porting note (#10618): simp can prove this
-- @[simp]
| Mathlib/Order/Interval/Finset/Fin.lean | 136 | 137 | theorem card_fintypeIco : Fintype.card (Set.Ico a b) = b - a := by |
rw [← card_Ico, Fintype.card_ofFinset]
|
/-
Copyright (c) 2018 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Aaron Anderson, Yakov Pechersky
-/
import Mathlib.Algebra.Group.Commute.Basic
import Mathlib.Data.Fintype.Card
import Mathlib.GroupTheory.Perm.Basic
#align_import group_theory.perm.support from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
/-!
# support of a permutation
## Main definitions
In the following, `f g : Equiv.Perm α`.
* `Equiv.Perm.Disjoint`: two permutations `f` and `g` are `Disjoint` if every element is fixed
either by `f`, or by `g`.
Equivalently, `f` and `g` are `Disjoint` iff their `support` are disjoint.
* `Equiv.Perm.IsSwap`: `f = swap x y` for `x ≠ y`.
* `Equiv.Perm.support`: the elements `x : α` that are not fixed by `f`.
Assume `α` is a Fintype:
* `Equiv.Perm.fixed_point_card_lt_of_ne_one f` says that `f` has
strictly less than `Fintype.card α - 1` fixed points, unless `f = 1`.
(Equivalently, `f.support` has at least 2 elements.)
-/
open Equiv Finset
namespace Equiv.Perm
variable {α : Type*}
section Disjoint
/-- Two permutations `f` and `g` are `Disjoint` if their supports are disjoint, i.e.,
every element is fixed either by `f`, or by `g`. -/
def Disjoint (f g : Perm α) :=
∀ x, f x = x ∨ g x = x
#align equiv.perm.disjoint Equiv.Perm.Disjoint
variable {f g h : Perm α}
@[symm]
theorem Disjoint.symm : Disjoint f g → Disjoint g f := by simp only [Disjoint, or_comm, imp_self]
#align equiv.perm.disjoint.symm Equiv.Perm.Disjoint.symm
theorem Disjoint.symmetric : Symmetric (@Disjoint α) := fun _ _ => Disjoint.symm
#align equiv.perm.disjoint.symmetric Equiv.Perm.Disjoint.symmetric
instance : IsSymm (Perm α) Disjoint :=
⟨Disjoint.symmetric⟩
theorem disjoint_comm : Disjoint f g ↔ Disjoint g f :=
⟨Disjoint.symm, Disjoint.symm⟩
#align equiv.perm.disjoint_comm Equiv.Perm.disjoint_comm
theorem Disjoint.commute (h : Disjoint f g) : Commute f g :=
Equiv.ext fun x =>
(h x).elim
(fun hf =>
(h (g x)).elim (fun hg => by simp [mul_apply, hf, hg]) fun hg => by
simp [mul_apply, hf, g.injective hg])
fun hg =>
(h (f x)).elim (fun hf => by simp [mul_apply, f.injective hf, hg]) fun hf => by
simp [mul_apply, hf, hg]
#align equiv.perm.disjoint.commute Equiv.Perm.Disjoint.commute
@[simp]
theorem disjoint_one_left (f : Perm α) : Disjoint 1 f := fun _ => Or.inl rfl
#align equiv.perm.disjoint_one_left Equiv.Perm.disjoint_one_left
@[simp]
theorem disjoint_one_right (f : Perm α) : Disjoint f 1 := fun _ => Or.inr rfl
#align equiv.perm.disjoint_one_right Equiv.Perm.disjoint_one_right
theorem disjoint_iff_eq_or_eq : Disjoint f g ↔ ∀ x : α, f x = x ∨ g x = x :=
Iff.rfl
#align equiv.perm.disjoint_iff_eq_or_eq Equiv.Perm.disjoint_iff_eq_or_eq
@[simp]
theorem disjoint_refl_iff : Disjoint f f ↔ f = 1 := by
refine ⟨fun h => ?_, fun h => h.symm ▸ disjoint_one_left 1⟩
ext x
cases' h x with hx hx <;> simp [hx]
#align equiv.perm.disjoint_refl_iff Equiv.Perm.disjoint_refl_iff
theorem Disjoint.inv_left (h : Disjoint f g) : Disjoint f⁻¹ g := by
intro x
rw [inv_eq_iff_eq, eq_comm]
exact h x
#align equiv.perm.disjoint.inv_left Equiv.Perm.Disjoint.inv_left
theorem Disjoint.inv_right (h : Disjoint f g) : Disjoint f g⁻¹ :=
h.symm.inv_left.symm
#align equiv.perm.disjoint.inv_right Equiv.Perm.Disjoint.inv_right
@[simp]
| Mathlib/GroupTheory/Perm/Support.lean | 104 | 106 | theorem disjoint_inv_left_iff : Disjoint f⁻¹ g ↔ Disjoint f g := by |
refine ⟨fun h => ?_, Disjoint.inv_left⟩
convert h.inv_left
|
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.NumberTheory.Zsqrtd.GaussianInt
import Mathlib.NumberTheory.LegendreSymbol.Basic
import Mathlib.Analysis.Normed.Field.Basic
#align_import number_theory.zsqrtd.quadratic_reciprocity from "leanprover-community/mathlib"@"5b2fe80501ff327b9109fb09b7cc8c325cd0d7d9"
/-!
# Facts about the gaussian integers relying on quadratic reciprocity.
## Main statements
`prime_iff_mod_four_eq_three_of_nat_prime`
A prime natural number is prime in `ℤ[i]` if and only if it is `3` mod `4`
-/
open Zsqrtd Complex
open scoped ComplexConjugate
local notation "ℤ[i]" => GaussianInt
namespace GaussianInt
open PrincipalIdealRing
theorem mod_four_eq_three_of_nat_prime_of_prime (p : ℕ) [hp : Fact p.Prime]
(hpi : Prime (p : ℤ[i])) : p % 4 = 3 :=
hp.1.eq_two_or_odd.elim
(fun hp2 =>
absurd hpi
(mt irreducible_iff_prime.2 fun ⟨_, h⟩ => by
have := h ⟨1, 1⟩ ⟨1, -1⟩ (hp2.symm ▸ rfl)
rw [← norm_eq_one_iff, ← norm_eq_one_iff] at this
exact absurd this (by decide)))
fun hp1 =>
by_contradiction fun hp3 : p % 4 ≠ 3 => by
have hp41 : p % 4 = 1 := by
rw [← Nat.mod_mul_left_mod p 2 2, show 2 * 2 = 4 from rfl] at hp1
have := Nat.mod_lt p (show 0 < 4 by decide)
revert this hp3 hp1
generalize p % 4 = m
intros; interval_cases m <;> simp_all -- Porting note (#11043): was `decide!`
let ⟨k, hk⟩ := (ZMod.exists_sq_eq_neg_one_iff (p := p)).2 <| by rw [hp41]; decide
obtain ⟨k, k_lt_p, rfl⟩ : ∃ (k' : ℕ) (_ : k' < p), (k' : ZMod p) = k := by
exact ⟨k.val, k.val_lt, ZMod.natCast_zmod_val k⟩
have hpk : p ∣ k ^ 2 + 1 := by
rw [pow_two, ← CharP.cast_eq_zero_iff (ZMod p) p, Nat.cast_add, Nat.cast_mul, Nat.cast_one,
← hk, add_left_neg]
have hkmul : (k ^ 2 + 1 : ℤ[i]) = ⟨k, 1⟩ * ⟨k, -1⟩ := by ext <;> simp [sq]
have hkltp : 1 + k * k < p * p :=
calc
1 + k * k ≤ k + k * k := by
apply add_le_add_right
exact (Nat.pos_of_ne_zero fun (hk0 : k = 0) => by clear_aux_decl; simp_all [pow_succ'])
_ = k * (k + 1) := by simp [add_comm, mul_add]
_ < p * p := mul_lt_mul k_lt_p k_lt_p (Nat.succ_pos _) (Nat.zero_le _)
have hpk₁ : ¬(p : ℤ[i]) ∣ ⟨k, -1⟩ := fun ⟨x, hx⟩ =>
lt_irrefl (p * x : ℤ[i]).norm.natAbs <|
calc
(norm (p * x : ℤ[i])).natAbs = (Zsqrtd.norm ⟨k, -1⟩).natAbs := by rw [hx]
_ < (norm (p : ℤ[i])).natAbs := by simpa [add_comm, Zsqrtd.norm] using hkltp
_ ≤ (norm (p * x : ℤ[i])).natAbs :=
norm_le_norm_mul_left _ fun hx0 =>
show (-1 : ℤ) ≠ 0 by decide <| by simpa [hx0] using congr_arg Zsqrtd.im hx
have hpk₂ : ¬(p : ℤ[i]) ∣ ⟨k, 1⟩ := fun ⟨x, hx⟩ =>
lt_irrefl (p * x : ℤ[i]).norm.natAbs <|
calc
(norm (p * x : ℤ[i])).natAbs = (Zsqrtd.norm ⟨k, 1⟩).natAbs := by rw [hx]
_ < (norm (p : ℤ[i])).natAbs := by simpa [add_comm, Zsqrtd.norm] using hkltp
_ ≤ (norm (p * x : ℤ[i])).natAbs :=
norm_le_norm_mul_left _ fun hx0 =>
show (1 : ℤ) ≠ 0 by decide <| by simpa [hx0] using congr_arg Zsqrtd.im hx
obtain ⟨y, hy⟩ := hpk
have := hpi.2.2 ⟨k, 1⟩ ⟨k, -1⟩ ⟨y, by rw [← hkmul, ← Nat.cast_mul p, ← hy]; simp⟩
clear_aux_decl
tauto
#align gaussian_int.mod_four_eq_three_of_nat_prime_of_prime GaussianInt.mod_four_eq_three_of_nat_prime_of_prime
| Mathlib/NumberTheory/Zsqrtd/QuadraticReciprocity.lean | 86 | 93 | theorem prime_of_nat_prime_of_mod_four_eq_three (p : ℕ) [hp : Fact p.Prime] (hp3 : p % 4 = 3) :
Prime (p : ℤ[i]) :=
irreducible_iff_prime.1 <|
by_contradiction fun hpi =>
let ⟨a, b, hab⟩ := sq_add_sq_of_nat_prime_of_not_irreducible p hpi
have : ∀ a b : ZMod 4, a ^ 2 + b ^ 2 ≠ (p : ZMod 4) := by |
erw [← ZMod.natCast_mod p 4, hp3]; decide
this a b (hab ▸ by simp)
|
/-
Copyright (c) 2017 Scott Morrison. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Scott Morrison, Adam Topaz
-/
import Mathlib.CategoryTheory.ConcreteCategory.Basic
import Mathlib.CategoryTheory.Limits.Preserves.Basic
import Mathlib.CategoryTheory.Limits.TypesFiltered
import Mathlib.CategoryTheory.Limits.Yoneda
import Mathlib.Tactic.ApplyFun
#align_import category_theory.limits.concrete_category from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395"
/-!
# Facts about (co)limits of functors into concrete categories
-/
universe t w v u r
open CategoryTheory
namespace CategoryTheory.Limits
attribute [local instance] ConcreteCategory.instFunLike ConcreteCategory.hasCoeToSort
section Limits
/-- If a functor `G : J ⥤ C` to a concrete category has a limit and that `forget C`
is corepresentable, then `G ⋙ forget C).sections` is small. -/
lemma Concrete.small_sections_of_hasLimit
{C : Type u} [Category.{v} C] [ConcreteCategory.{v} C]
[(forget C).Corepresentable] {J : Type w} [Category.{t} J] (G : J ⥤ C) [HasLimit G] :
Small.{v} (G ⋙ forget C).sections := by
rw [← Types.hasLimit_iff_small_sections]
infer_instance
variable {C : Type u} [Category.{v} C] [ConcreteCategory.{max w v} C] {J : Type w} [Category.{t} J]
(F : J ⥤ C) [PreservesLimit F (forget C)]
theorem Concrete.to_product_injective_of_isLimit {D : Cone F} (hD : IsLimit D) :
Function.Injective fun (x : D.pt) (j : J) => D.π.app j x := by
let E := (forget C).mapCone D
let hE : IsLimit E := isLimitOfPreserves _ hD
let G := Types.limitCone.{w, v} (F ⋙ forget C)
let hG := Types.limitConeIsLimit.{w, v} (F ⋙ forget C)
let T : E.pt ≅ G.pt := hE.conePointUniqueUpToIso hG
change Function.Injective (T.hom ≫ fun x j => G.π.app j x)
have h : Function.Injective T.hom := by
intro a b h
suffices T.inv (T.hom a) = T.inv (T.hom b) by simpa
rw [h]
suffices Function.Injective fun (x : G.pt) j => G.π.app j x by exact this.comp h
apply Subtype.ext
#align category_theory.limits.concrete.to_product_injective_of_is_limit CategoryTheory.Limits.Concrete.to_product_injective_of_isLimit
theorem Concrete.isLimit_ext {D : Cone F} (hD : IsLimit D) (x y : D.pt) :
(∀ j, D.π.app j x = D.π.app j y) → x = y := fun h =>
Concrete.to_product_injective_of_isLimit _ hD (funext h)
#align category_theory.limits.concrete.is_limit_ext CategoryTheory.Limits.Concrete.isLimit_ext
theorem Concrete.limit_ext [HasLimit F] (x y : ↑(limit F)) :
(∀ j, limit.π F j x = limit.π F j y) → x = y :=
Concrete.isLimit_ext F (limit.isLimit _) _ _
#align category_theory.limits.concrete.limit_ext CategoryTheory.Limits.Concrete.limit_ext
end Limits
section Colimits
section
variable {C : Type u} [Category.{v} C] [ConcreteCategory.{t} C] {J : Type w} [Category.{r} J]
(F : J ⥤ C) [PreservesColimit F (forget C)]
| Mathlib/CategoryTheory/Limits/ConcreteCategory.lean | 76 | 83 | theorem Concrete.from_union_surjective_of_isColimit {D : Cocone F} (hD : IsColimit D) :
let ff : (Σj : J, F.obj j) → D.pt := fun a => D.ι.app a.1 a.2
Function.Surjective ff := by |
intro ff x
let E : Cocone (F ⋙ forget C) := (forget C).mapCocone D
let hE : IsColimit E := isColimitOfPreserves (forget C) hD
obtain ⟨j, y, hy⟩ := Types.jointly_surjective_of_isColimit hE x
exact ⟨⟨j, y⟩, hy⟩
|
/-
Copyright (c) 2022 Antoine Labelle. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Antoine Labelle
-/
import Mathlib.RepresentationTheory.Basic
import Mathlib.RepresentationTheory.FdRep
#align_import representation_theory.invariants from "leanprover-community/mathlib"@"55b3f8206b8596db8bb1804d8a92814a0b6670c9"
/-!
# Subspace of invariants a group representation
This file introduces the subspace of invariants of a group representation
and proves basic results about it.
The main tool used is the average of all elements of the group, seen as an element of
`MonoidAlgebra k G`. The action of this special element gives a projection onto the
subspace of invariants.
In order for the definition of the average element to make sense, we need to assume for most of the
results that the order of `G` is invertible in `k` (e. g. `k` has characteristic `0`).
-/
suppress_compilation
open MonoidAlgebra
open Representation
namespace GroupAlgebra
variable (k G : Type*) [CommSemiring k] [Group G]
variable [Fintype G] [Invertible (Fintype.card G : k)]
/-- The average of all elements of the group `G`, considered as an element of `MonoidAlgebra k G`.
-/
noncomputable def average : MonoidAlgebra k G :=
⅟ (Fintype.card G : k) • ∑ g : G, of k G g
#align group_algebra.average GroupAlgebra.average
/-- `average k G` is invariant under left multiplication by elements of `G`.
-/
@[simp]
theorem mul_average_left (g : G) : ↑(Finsupp.single g 1) * average k G = average k G := by
simp only [mul_one, Finset.mul_sum, Algebra.mul_smul_comm, average, MonoidAlgebra.of_apply,
Finset.sum_congr, MonoidAlgebra.single_mul_single]
set f : G → MonoidAlgebra k G := fun x => Finsupp.single x 1
show ⅟ (Fintype.card G : k) • ∑ x : G, f (g * x) = ⅟ (Fintype.card G : k) • ∑ x : G, f x
rw [Function.Bijective.sum_comp (Group.mulLeft_bijective g) _]
#align group_algebra.mul_average_left GroupAlgebra.mul_average_left
/-- `average k G` is invariant under right multiplication by elements of `G`.
-/
@[simp]
theorem mul_average_right (g : G) : average k G * ↑(Finsupp.single g 1) = average k G := by
simp only [mul_one, Finset.sum_mul, Algebra.smul_mul_assoc, average, MonoidAlgebra.of_apply,
Finset.sum_congr, MonoidAlgebra.single_mul_single]
set f : G → MonoidAlgebra k G := fun x => Finsupp.single x 1
show ⅟ (Fintype.card G : k) • ∑ x : G, f (x * g) = ⅟ (Fintype.card G : k) • ∑ x : G, f x
rw [Function.Bijective.sum_comp (Group.mulRight_bijective g) _]
#align group_algebra.mul_average_right GroupAlgebra.mul_average_right
end GroupAlgebra
namespace Representation
section Invariants
open GroupAlgebra
variable {k G V : Type*} [CommSemiring k] [Group G] [AddCommMonoid V] [Module k V]
variable (ρ : Representation k G V)
/-- The subspace of invariants, consisting of the vectors fixed by all elements of `G`.
-/
def invariants : Submodule k V where
carrier := setOf fun v => ∀ g : G, ρ g v = v
zero_mem' g := by simp only [map_zero]
add_mem' hv hw g := by simp only [hv g, hw g, map_add]
smul_mem' r v hv g := by simp only [hv g, LinearMap.map_smulₛₗ, RingHom.id_apply]
#align representation.invariants Representation.invariants
@[simp]
theorem mem_invariants (v : V) : v ∈ invariants ρ ↔ ∀ g : G, ρ g v = v := by rfl
#align representation.mem_invariants Representation.mem_invariants
theorem invariants_eq_inter : (invariants ρ).carrier = ⋂ g : G, Function.fixedPoints (ρ g) := by
ext; simp [Function.IsFixedPt]
#align representation.invariants_eq_inter Representation.invariants_eq_inter
theorem invariants_eq_top [ρ.IsTrivial] :
invariants ρ = ⊤ :=
eq_top_iff.2 (fun x _ g => ρ.apply_eq_self g x)
variable [Fintype G] [Invertible (Fintype.card G : k)]
/-- The action of `average k G` gives a projection map onto the subspace of invariants.
-/
@[simp]
noncomputable def averageMap : V →ₗ[k] V :=
asAlgebraHom ρ (average k G)
#align representation.average_map Representation.averageMap
/-- The `averageMap` sends elements of `V` to the subspace of invariants.
-/
theorem averageMap_invariant (v : V) : averageMap ρ v ∈ invariants ρ := fun g => by
rw [averageMap, ← asAlgebraHom_single_one, ← LinearMap.mul_apply, ← map_mul (asAlgebraHom ρ),
mul_average_left]
#align representation.average_map_invariant Representation.averageMap_invariant
/-- The `averageMap` acts as the identity on the subspace of invariants.
-/
| Mathlib/RepresentationTheory/Invariants.lean | 112 | 114 | theorem averageMap_id (v : V) (hv : v ∈ invariants ρ) : averageMap ρ v = v := by |
rw [mem_invariants] at hv
simp [average, map_sum, hv, Finset.card_univ, nsmul_eq_smul_cast k _ v, smul_smul]
|
/-
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.Analysis.Calculus.BumpFunction.Basic
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
#align_import analysis.calculus.bump_function_inner from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
/-!
# Normed bump function
In this file we define `ContDiffBump.normed f μ` to be the bump function `f` normalized so that
`∫ x, f.normed μ x ∂μ = 1` and prove some properties of this function.
-/
noncomputable section
open Function Filter Set Metric MeasureTheory FiniteDimensional Measure
open scoped Topology
namespace ContDiffBump
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] [HasContDiffBump E]
[MeasurableSpace E] {c : E} (f : ContDiffBump c) {x : E} {n : ℕ∞} {μ : Measure E}
/-- A bump function normed so that `∫ x, f.normed μ x ∂μ = 1`. -/
protected def normed (μ : Measure E) : E → ℝ := fun x => f x / ∫ x, f x ∂μ
#align cont_diff_bump.normed ContDiffBump.normed
theorem normed_def {μ : Measure E} (x : E) : f.normed μ x = f x / ∫ x, f x ∂μ :=
rfl
#align cont_diff_bump.normed_def ContDiffBump.normed_def
theorem nonneg_normed (x : E) : 0 ≤ f.normed μ x :=
div_nonneg f.nonneg <| integral_nonneg f.nonneg'
#align cont_diff_bump.nonneg_normed ContDiffBump.nonneg_normed
theorem contDiff_normed {n : ℕ∞} : ContDiff ℝ n (f.normed μ) :=
f.contDiff.div_const _
#align cont_diff_bump.cont_diff_normed ContDiffBump.contDiff_normed
theorem continuous_normed : Continuous (f.normed μ) :=
f.continuous.div_const _
#align cont_diff_bump.continuous_normed ContDiffBump.continuous_normed
theorem normed_sub (x : E) : f.normed μ (c - x) = f.normed μ (c + x) := by
simp_rw [f.normed_def, f.sub]
#align cont_diff_bump.normed_sub ContDiffBump.normed_sub
theorem normed_neg (f : ContDiffBump (0 : E)) (x : E) : f.normed μ (-x) = f.normed μ x := by
simp_rw [f.normed_def, f.neg]
#align cont_diff_bump.normed_neg ContDiffBump.normed_neg
variable [BorelSpace E] [FiniteDimensional ℝ E] [IsLocallyFiniteMeasure μ]
protected theorem integrable : Integrable f μ :=
f.continuous.integrable_of_hasCompactSupport f.hasCompactSupport
#align cont_diff_bump.integrable ContDiffBump.integrable
protected theorem integrable_normed : Integrable (f.normed μ) μ :=
f.integrable.div_const _
#align cont_diff_bump.integrable_normed ContDiffBump.integrable_normed
variable [μ.IsOpenPosMeasure]
theorem integral_pos : 0 < ∫ x, f x ∂μ := by
refine (integral_pos_iff_support_of_nonneg f.nonneg' f.integrable).mpr ?_
rw [f.support_eq]
exact measure_ball_pos μ c f.rOut_pos
#align cont_diff_bump.integral_pos ContDiffBump.integral_pos
theorem integral_normed : ∫ x, f.normed μ x ∂μ = 1 := by
simp_rw [ContDiffBump.normed, div_eq_mul_inv, mul_comm (f _), ← smul_eq_mul, integral_smul]
exact inv_mul_cancel f.integral_pos.ne'
#align cont_diff_bump.integral_normed ContDiffBump.integral_normed
theorem support_normed_eq : Function.support (f.normed μ) = Metric.ball c f.rOut := by
unfold ContDiffBump.normed
rw [support_div, f.support_eq, support_const f.integral_pos.ne', inter_univ]
#align cont_diff_bump.support_normed_eq ContDiffBump.support_normed_eq
theorem tsupport_normed_eq : tsupport (f.normed μ) = Metric.closedBall c f.rOut := by
rw [tsupport, f.support_normed_eq, closure_ball _ f.rOut_pos.ne']
#align cont_diff_bump.tsupport_normed_eq ContDiffBump.tsupport_normed_eq
theorem hasCompactSupport_normed : HasCompactSupport (f.normed μ) := by
simp only [HasCompactSupport, f.tsupport_normed_eq (μ := μ), isCompact_closedBall]
#align cont_diff_bump.has_compact_support_normed ContDiffBump.hasCompactSupport_normed
theorem tendsto_support_normed_smallSets {ι} {φ : ι → ContDiffBump c} {l : Filter ι}
(hφ : Tendsto (fun i => (φ i).rOut) l (𝓝 0)) :
Tendsto (fun i => Function.support fun x => (φ i).normed μ x) l (𝓝 c).smallSets := by
simp_rw [NormedAddCommGroup.tendsto_nhds_zero, Real.norm_eq_abs,
abs_eq_self.mpr (φ _).rOut_pos.le] at hφ
rw [nhds_basis_ball.smallSets.tendsto_right_iff]
refine fun ε hε ↦ (hφ ε hε).mono fun i hi ↦ ?_
rw [(φ i).support_normed_eq]
exact ball_subset_ball hi.le
#align cont_diff_bump.tendsto_support_normed_small_sets ContDiffBump.tendsto_support_normed_smallSets
variable (μ)
theorem integral_normed_smul {X} [NormedAddCommGroup X] [NormedSpace ℝ X]
[CompleteSpace X] (z : X) : ∫ x, f.normed μ x • z ∂μ = z := by
simp_rw [integral_smul_const, f.integral_normed (μ := μ), one_smul]
#align cont_diff_bump.integral_normed_smul ContDiffBump.integral_normed_smul
| Mathlib/Analysis/Calculus/BumpFunction/Normed.lean | 111 | 115 | theorem measure_closedBall_le_integral : (μ (closedBall c f.rIn)).toReal ≤ ∫ x, f x ∂μ := by | calc
(μ (closedBall c f.rIn)).toReal = ∫ x in closedBall c f.rIn, 1 ∂μ := by simp
_ = ∫ x in closedBall c f.rIn, f x ∂μ := setIntegral_congr measurableSet_closedBall
(fun x hx ↦ (one_of_mem_closedBall f hx).symm)
_ ≤ ∫ x, f x ∂μ := setIntegral_le_integral f.integrable (eventually_of_forall (fun x ↦ f.nonneg))
|
/-
Copyright (c) 2022 Junyan Xu. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Damiano Testa, Junyan Xu
-/
import Mathlib.Data.DFinsupp.Basic
#align_import data.dfinsupp.ne_locus from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
/-!
# Locus of unequal values of finitely supported dependent functions
Let `N : α → Type*` be a type family, assume that `N a` has a `0` for all `a : α` and let
`f g : Π₀ a, N a` be finitely supported dependent functions.
## Main definition
* `DFinsupp.neLocus f g : Finset α`, the finite subset of `α` where `f` and `g` differ.
In the case in which `N a` is an additive group for all `a`, `DFinsupp.neLocus f g` coincides with
`DFinsupp.support (f - g)`.
-/
variable {α : Type*} {N : α → Type*}
namespace DFinsupp
variable [DecidableEq α]
section NHasZero
variable [∀ a, DecidableEq (N a)] [∀ a, Zero (N a)] (f g : Π₀ a, N a)
/-- Given two finitely supported functions `f g : α →₀ N`, `Finsupp.neLocus f g` is the `Finset`
where `f` and `g` differ. This generalizes `(f - g).support` to situations without subtraction. -/
def neLocus (f g : Π₀ a, N a) : Finset α :=
(f.support ∪ g.support).filter fun x ↦ f x ≠ g x
#align dfinsupp.ne_locus DFinsupp.neLocus
@[simp]
theorem mem_neLocus {f g : Π₀ a, N a} {a : α} : a ∈ f.neLocus g ↔ f a ≠ g a := by
simpa only [neLocus, Finset.mem_filter, Finset.mem_union, mem_support_iff,
and_iff_right_iff_imp] using Ne.ne_or_ne _
#align dfinsupp.mem_ne_locus DFinsupp.mem_neLocus
theorem not_mem_neLocus {f g : Π₀ a, N a} {a : α} : a ∉ f.neLocus g ↔ f a = g a :=
mem_neLocus.not.trans not_ne_iff
#align dfinsupp.not_mem_ne_locus DFinsupp.not_mem_neLocus
@[simp]
theorem coe_neLocus : ↑(f.neLocus g) = { x | f x ≠ g x } :=
Set.ext fun _x ↦ mem_neLocus
#align dfinsupp.coe_ne_locus DFinsupp.coe_neLocus
@[simp]
theorem neLocus_eq_empty {f g : Π₀ a, N a} : f.neLocus g = ∅ ↔ f = g :=
⟨fun h ↦
ext fun a ↦ not_not.mp (mem_neLocus.not.mp (Finset.eq_empty_iff_forall_not_mem.mp h a)),
fun h ↦ h ▸ by simp only [neLocus, Ne, eq_self_iff_true, not_true, Finset.filter_False]⟩
#align dfinsupp.ne_locus_eq_empty DFinsupp.neLocus_eq_empty
@[simp]
theorem nonempty_neLocus_iff {f g : Π₀ a, N a} : (f.neLocus g).Nonempty ↔ f ≠ g :=
Finset.nonempty_iff_ne_empty.trans neLocus_eq_empty.not
#align dfinsupp.nonempty_ne_locus_iff DFinsupp.nonempty_neLocus_iff
theorem neLocus_comm : f.neLocus g = g.neLocus f := by
simp_rw [neLocus, Finset.union_comm, ne_comm]
#align dfinsupp.ne_locus_comm DFinsupp.neLocus_comm
@[simp]
theorem neLocus_zero_right : f.neLocus 0 = f.support := by
ext
rw [mem_neLocus, mem_support_iff, coe_zero, Pi.zero_apply]
#align dfinsupp.ne_locus_zero_right DFinsupp.neLocus_zero_right
@[simp]
theorem neLocus_zero_left : (0 : Π₀ a, N a).neLocus f = f.support :=
(neLocus_comm _ _).trans (neLocus_zero_right _)
#align dfinsupp.ne_locus_zero_left DFinsupp.neLocus_zero_left
end NHasZero
section NeLocusAndMaps
variable {M P : α → Type*} [∀ a, Zero (N a)] [∀ a, Zero (M a)] [∀ a, Zero (P a)]
theorem subset_mapRange_neLocus [∀ a, DecidableEq (N a)] [∀ a, DecidableEq (M a)] (f g : Π₀ a, N a)
{F : ∀ a, N a → M a} (F0 : ∀ a, F a 0 = 0) :
(f.mapRange F F0).neLocus (g.mapRange F F0) ⊆ f.neLocus g := fun a ↦ by
simpa only [mem_neLocus, mapRange_apply, not_imp_not] using congr_arg (F a)
#align dfinsupp.subset_map_range_ne_locus DFinsupp.subset_mapRange_neLocus
| Mathlib/Data/DFinsupp/NeLocus.lean | 94 | 99 | theorem zipWith_neLocus_eq_left [∀ a, DecidableEq (N a)] [∀ a, DecidableEq (P a)]
{F : ∀ a, M a → N a → P a} (F0 : ∀ a, F a 0 0 = 0) (f : Π₀ a, M a) (g₁ g₂ : Π₀ a, N a)
(hF : ∀ a f, Function.Injective fun g ↦ F a f g) :
(zipWith F F0 f g₁).neLocus (zipWith F F0 f g₂) = g₁.neLocus g₂ := by |
ext a
simpa only [mem_neLocus] using (hF a _).ne_iff
|
/-
Copyright (c) 2022 Sébastien Gouëzel. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Sébastien Gouëzel
-/
import Mathlib.Analysis.SpecialFunctions.Gamma.Basic
import Mathlib.Analysis.SpecialFunctions.PolarCoord
import Mathlib.Analysis.Convex.Complex
#align_import analysis.special_functions.gaussian from "leanprover-community/mathlib"@"7982767093ae38cba236487f9c9dd9cd99f63c16"
/-!
# Gaussian integral
We prove various versions of the formula for the Gaussian integral:
* `integral_gaussian`: for real `b` we have `∫ x:ℝ, exp (-b * x^2) = √(π / b)`.
* `integral_gaussian_complex`: for complex `b` with `0 < re b` we have
`∫ x:ℝ, exp (-b * x^2) = (π / b) ^ (1 / 2)`.
* `integral_gaussian_Ioi` and `integral_gaussian_complex_Ioi`: variants for integrals over `Ioi 0`.
* `Complex.Gamma_one_half_eq`: the formula `Γ (1 / 2) = √π`.
-/
noncomputable section
open Real Set MeasureTheory Filter Asymptotics
open scoped Real Topology
open Complex hiding exp abs_of_nonneg
| Mathlib/Analysis/SpecialFunctions/Gaussian/GaussianIntegral.lean | 31 | 43 | theorem exp_neg_mul_rpow_isLittleO_exp_neg {p b : ℝ} (hb : 0 < b) (hp : 1 < p) :
(fun x : ℝ => exp (- b * x ^ p)) =o[atTop] fun x : ℝ => exp (-x) := by |
rw [isLittleO_exp_comp_exp_comp]
suffices Tendsto (fun x => x * (b * x ^ (p - 1) + -1)) atTop atTop by
refine Tendsto.congr' ?_ this
refine eventuallyEq_of_mem (Ioi_mem_atTop (0 : ℝ)) (fun x hx => ?_)
rw [mem_Ioi] at hx
rw [rpow_sub_one hx.ne']
field_simp [hx.ne']
ring
apply Tendsto.atTop_mul_atTop tendsto_id
refine tendsto_atTop_add_const_right atTop (-1 : ℝ) ?_
exact Tendsto.const_mul_atTop hb (tendsto_rpow_atTop (by linarith))
|
/-
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. -/
| Mathlib/Analysis/InnerProductSpace/Orientation.lean | 54 | 60 | 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
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Johan Commelin, Mario Carneiro
-/
import Mathlib.Algebra.MvPolynomial.Basic
#align_import data.mv_polynomial.rename from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
/-!
# Renaming variables of polynomials
This file establishes the `rename` operation on multivariate polynomials,
which modifies the set of variables.
## Main declarations
* `MvPolynomial.rename`
* `MvPolynomial.renameEquiv`
## Notation
As in other polynomial files, we typically use the notation:
+ `σ τ α : Type*` (indexing the variables)
+ `R S : Type*` `[CommSemiring R]` `[CommSemiring S]` (the coefficients)
+ `s : σ →₀ ℕ`, a function from `σ` to `ℕ` which is zero away from a finite set.
This will give rise to a monomial in `MvPolynomial σ R` which mathematicians might call `X^s`
+ `r : R` elements of the coefficient ring
+ `i : σ`, with corresponding monomial `X i`, often denoted `X_i` by mathematicians
+ `p : MvPolynomial σ α`
-/
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
variable {σ τ α R S : Type*} [CommSemiring R] [CommSemiring S]
namespace MvPolynomial
section Rename
/-- Rename all the variables in a multivariable polynomial. -/
def rename (f : σ → τ) : MvPolynomial σ R →ₐ[R] MvPolynomial τ R :=
aeval (X ∘ f)
#align mv_polynomial.rename MvPolynomial.rename
theorem rename_C (f : σ → τ) (r : R) : rename f (C r) = C r :=
eval₂_C _ _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.rename_C MvPolynomial.rename_C
@[simp]
theorem rename_X (f : σ → τ) (i : σ) : rename f (X i : MvPolynomial σ R) = X (f i) :=
eval₂_X _ _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.rename_X MvPolynomial.rename_X
| Mathlib/Algebra/MvPolynomial/Rename.lean | 67 | 72 | theorem map_rename (f : R →+* S) (g : σ → τ) (p : MvPolynomial σ R) :
map f (rename g p) = rename g (map f p) := by |
apply MvPolynomial.induction_on p
(fun a => by simp only [map_C, rename_C])
(fun p q hp hq => by simp only [hp, hq, AlgHom.map_add, RingHom.map_add]) fun p n hp => by
simp only [hp, rename_X, map_X, RingHom.map_mul, AlgHom.map_mul]
|
/-
Copyright (c) 2021 Mario Carneiro. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Mario Carneiro
-/
import Mathlib.Init.Data.Nat.Notation
import Mathlib.Init.Order.Defs
set_option autoImplicit true
structure UFModel (n) where
parent : Fin n → Fin n
rank : Nat → Nat
rank_lt : ∀ i, (parent i).1 ≠ i → rank i < rank (parent i)
namespace UFModel
def empty : UFModel 0 where
parent i := i.elim0
rank _ := 0
rank_lt i := i.elim0
def push {n} (m : UFModel n) (k) (le : n ≤ k) : UFModel k where
parent i :=
if h : i < n then
let ⟨a, h'⟩ := m.parent ⟨i, h⟩
⟨a, Nat.lt_of_lt_of_le h' le⟩
else i
rank i := if i < n then m.rank i else 0
rank_lt i := by
simp; split <;> rename_i h
· simp [(m.parent ⟨i, h⟩).2, h]; exact m.rank_lt _
· nofun
def setParent {n} (m : UFModel n) (x y : Fin n) (h : m.rank x < m.rank y) : UFModel n where
parent i := if x.1 = i then y else m.parent i
rank := m.rank
rank_lt i := by
simp; split <;> rename_i h'
· rw [← h']; exact fun _ ↦ h
· exact m.rank_lt i
def setParentBump {n} (m : UFModel n) (x y : Fin n)
(H : m.rank x ≤ m.rank y) (hroot : (m.parent y).1 = y) : UFModel n where
parent i := if x.1 = i then y else m.parent i
rank i := if y.1 = i ∧ m.rank x = m.rank y then m.rank y + 1 else m.rank i
rank_lt i := by
simp; split <;>
(rename_i h₁; (try simp [h₁]); split <;> rename_i h₂ <;>
(intro h; try simp [h] at h₂ <;> simp [h₁, h₂, h]))
· simp [← h₁]; split <;> rename_i h₃
· rw [h₃]; apply Nat.lt_succ_self
· exact Nat.lt_of_le_of_ne H h₃
· have := Fin.eq_of_val_eq h₂.1; subst this
simp [hroot] at h
· have := m.rank_lt i h
split <;> rename_i h₃
· rw [h₃.1]; exact Nat.lt_succ_of_lt this
· exact this
end UFModel
structure UFNode (α : Type*) where
parent : Nat
value : α
rank : Nat
inductive UFModel.Agrees (arr : Array α) (f : α → β) : ∀ {n}, (Fin n → β) → Prop
| mk : Agrees arr f fun i ↦ f (arr.get i)
namespace UFModel.Agrees
theorem mk' {arr : Array α} {f : α → β} {n} {g : Fin n → β} (e : n = arr.size)
(H : ∀ i h₁ h₂, f (arr.get ⟨i, h₁⟩) = g ⟨i, h₂⟩) : Agrees arr f g := by
cases e
have : (fun i ↦ f (arr.get i)) = g := by funext ⟨i, h⟩; apply H
cases this; constructor
| Mathlib/Data/UnionFind.lean | 79 | 80 | theorem size_eq {arr : Array α} {m : Fin n → β} (H : Agrees arr f m) : n = arr.size := by |
cases H; rfl
|
/-
Copyright (c) 2019 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes, Junyan Xu, Yury Kudryashov
-/
import Mathlib.Analysis.Complex.Liouville
import Mathlib.Analysis.Calculus.Deriv.Polynomial
import Mathlib.FieldTheory.PolynomialGaloisGroup
import Mathlib.Topology.Algebra.Polynomial
#align_import analysis.complex.polynomial from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3"
/-!
# The fundamental theorem of algebra
This file proves that every nonconstant complex polynomial has a root using Liouville's theorem.
As a consequence, the complex numbers are algebraically closed.
We also provide some specific results about the Galois groups of ℚ-polynomials with specific numbers
of non-real roots.
We also show that an irreducible real polynomial has degree at most two.
-/
open Polynomial Bornology Complex
open scoped ComplexConjugate
namespace Complex
/-- **Fundamental theorem of algebra**: every non constant complex polynomial
has a root -/
theorem exists_root {f : ℂ[X]} (hf : 0 < degree f) : ∃ z : ℂ, IsRoot f z := by
by_contra! hf'
/- Since `f` has no roots, `f⁻¹` is differentiable. And since `f` is a polynomial, it tends to
infinity at infinity, thus `f⁻¹` tends to zero at infinity. By Liouville's theorem, `f⁻¹ = 0`. -/
have (z : ℂ) : (f.eval z)⁻¹ = 0 :=
(f.differentiable.inv hf').apply_eq_of_tendsto_cocompact z <|
Metric.cobounded_eq_cocompact (α := ℂ) ▸ (Filter.tendsto_inv₀_cobounded.comp <| by
simpa only [tendsto_norm_atTop_iff_cobounded]
using f.tendsto_norm_atTop hf tendsto_norm_cobounded_atTop)
-- Thus `f = 0`, contradicting the fact that `0 < degree f`.
obtain rfl : f = C 0 := Polynomial.funext fun z ↦ inv_injective <| by simp [this]
simp at hf
#align complex.exists_root Complex.exists_root
instance isAlgClosed : IsAlgClosed ℂ :=
IsAlgClosed.of_exists_root _ fun _p _ hp => Complex.exists_root <| degree_pos_of_irreducible hp
#align complex.is_alg_closed Complex.isAlgClosed
end Complex
namespace Polynomial.Gal
section Rationals
theorem splits_ℚ_ℂ {p : ℚ[X]} : Fact (p.Splits (algebraMap ℚ ℂ)) :=
⟨IsAlgClosed.splits_codomain p⟩
#align polynomial.gal.splits_ℚ_ℂ Polynomial.Gal.splits_ℚ_ℂ
attribute [local instance] splits_ℚ_ℂ
attribute [local ext] Complex.ext
/-- The number of complex roots equals the number of real roots plus
the number of roots not fixed by complex conjugation (i.e. with some imaginary component). -/
| Mathlib/Analysis/Complex/Polynomial.lean | 67 | 120 | theorem card_complex_roots_eq_card_real_add_card_not_gal_inv (p : ℚ[X]) :
(p.rootSet ℂ).toFinset.card =
(p.rootSet ℝ).toFinset.card +
(galActionHom p ℂ (restrict p ℂ
(AlgEquiv.restrictScalars ℚ Complex.conjAe))).support.card := by |
by_cases hp : p = 0
· haveI : IsEmpty (p.rootSet ℂ) := by rw [hp, rootSet_zero]; infer_instance
simp_rw [(galActionHom p ℂ _).support.eq_empty_of_isEmpty, hp, rootSet_zero,
Set.toFinset_empty, Finset.card_empty]
have inj : Function.Injective (IsScalarTower.toAlgHom ℚ ℝ ℂ) := (algebraMap ℝ ℂ).injective
rw [← Finset.card_image_of_injective _ Subtype.coe_injective, ←
Finset.card_image_of_injective _ inj]
let a : Finset ℂ := ?_
on_goal 1 => let b : Finset ℂ := ?_
on_goal 1 => let c : Finset ℂ := ?_
-- Porting note: was
-- change a.card = b.card + c.card
suffices a.card = b.card + c.card by exact this
have ha : ∀ z : ℂ, z ∈ a ↔ aeval z p = 0 := by
intro z; rw [Set.mem_toFinset, mem_rootSet_of_ne hp]
have hb : ∀ z : ℂ, z ∈ b ↔ aeval z p = 0 ∧ z.im = 0 := by
intro z
simp_rw [b, Finset.mem_image, Set.mem_toFinset, mem_rootSet_of_ne hp]
constructor
· rintro ⟨w, hw, rfl⟩
exact ⟨by rw [aeval_algHom_apply, hw, AlgHom.map_zero], rfl⟩
· rintro ⟨hz1, hz2⟩
have key : IsScalarTower.toAlgHom ℚ ℝ ℂ z.re = z := by
ext
· rfl
· rw [hz2]; rfl
exact ⟨z.re, inj (by rwa [← aeval_algHom_apply, key, AlgHom.map_zero]), key⟩
have hc0 :
∀ w : p.rootSet ℂ, galActionHom p ℂ (restrict p ℂ (Complex.conjAe.restrictScalars ℚ)) w = w ↔
w.val.im = 0 := by
intro w
rw [Subtype.ext_iff, galActionHom_restrict]
exact Complex.conj_eq_iff_im
have hc : ∀ z : ℂ, z ∈ c ↔ aeval z p = 0 ∧ z.im ≠ 0 := by
intro z
simp_rw [c, Finset.mem_image]
constructor
· rintro ⟨w, hw, rfl⟩
exact ⟨(mem_rootSet.mp w.2).2, mt (hc0 w).mpr (Equiv.Perm.mem_support.mp hw)⟩
· rintro ⟨hz1, hz2⟩
exact ⟨⟨z, mem_rootSet.mpr ⟨hp, hz1⟩⟩, Equiv.Perm.mem_support.mpr (mt (hc0 _).mp hz2), rfl⟩
rw [← Finset.card_union_of_disjoint]
· apply congr_arg Finset.card
simp_rw [Finset.ext_iff, Finset.mem_union, ha, hb, hc]
tauto
· rw [Finset.disjoint_left]
intro z
rw [hb, hc]
tauto
|
/-
Copyright (c) 2020 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Topology.UniformSpace.CompleteSeparated
import Mathlib.Topology.EMetricSpace.Lipschitz
import Mathlib.Topology.MetricSpace.Basic
import Mathlib.Topology.MetricSpace.Bounded
#align_import topology.metric_space.antilipschitz from "leanprover-community/mathlib"@"c8f305514e0d47dfaa710f5a52f0d21b588e6328"
/-!
# Antilipschitz functions
We say that a map `f : α → β` between two (extended) metric spaces is
`AntilipschitzWith K`, `K ≥ 0`, if for all `x, y` we have `edist x y ≤ K * edist (f x) (f y)`.
For a metric space, the latter inequality is equivalent to `dist x y ≤ K * dist (f x) (f y)`.
## Implementation notes
The parameter `K` has type `ℝ≥0`. This way we avoid conjunction in the definition and have
coercions both to `ℝ` and `ℝ≥0∞`. We do not require `0 < K` in the definition, mostly because
we do not have a `posreal` type.
-/
variable {α β γ : Type*}
open scoped NNReal ENNReal Uniformity Topology
open Set Filter Bornology
/-- We say that `f : α → β` is `AntilipschitzWith K` if for any two points `x`, `y` we have
`edist x y ≤ K * edist (f x) (f y)`. -/
def AntilipschitzWith [PseudoEMetricSpace α] [PseudoEMetricSpace β] (K : ℝ≥0) (f : α → β) :=
∀ x y, edist x y ≤ K * edist (f x) (f y)
#align antilipschitz_with AntilipschitzWith
theorem AntilipschitzWith.edist_lt_top [PseudoEMetricSpace α] [PseudoMetricSpace β] {K : ℝ≥0}
{f : α → β} (h : AntilipschitzWith K f) (x y : α) : edist x y < ⊤ :=
(h x y).trans_lt <| ENNReal.mul_lt_top ENNReal.coe_ne_top (edist_ne_top _ _)
#align antilipschitz_with.edist_lt_top AntilipschitzWith.edist_lt_top
theorem AntilipschitzWith.edist_ne_top [PseudoEMetricSpace α] [PseudoMetricSpace β] {K : ℝ≥0}
{f : α → β} (h : AntilipschitzWith K f) (x y : α) : edist x y ≠ ⊤ :=
(h.edist_lt_top x y).ne
#align antilipschitz_with.edist_ne_top AntilipschitzWith.edist_ne_top
section Metric
variable [PseudoMetricSpace α] [PseudoMetricSpace β] {K : ℝ≥0} {f : α → β}
| Mathlib/Topology/MetricSpace/Antilipschitz.lean | 53 | 56 | theorem antilipschitzWith_iff_le_mul_nndist :
AntilipschitzWith K f ↔ ∀ x y, nndist x y ≤ K * nndist (f x) (f y) := by |
simp only [AntilipschitzWith, edist_nndist]
norm_cast
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl, Sébastien Gouëzel, Yury Kudryashov
-/
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.Matrix.Diagonal
import Mathlib.LinearAlgebra.Matrix.Transvection
import Mathlib.MeasureTheory.Group.LIntegral
import Mathlib.MeasureTheory.Integral.Marginal
import Mathlib.MeasureTheory.Measure.Stieltjes
import Mathlib.MeasureTheory.Measure.Haar.OfBasis
#align_import measure_theory.measure.lebesgue.basic from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
/-!
# Lebesgue measure on the real line and on `ℝⁿ`
We show that the Lebesgue measure on the real line (constructed as a particular case of additive
Haar measure on inner product spaces) coincides with the Stieltjes measure associated
to the function `x ↦ x`. We deduce properties of this measure on `ℝ`, and then of the product
Lebesgue measure on `ℝⁿ`. In particular, we prove that they are translation invariant.
We show that, on `ℝⁿ`, a linear map acts on Lebesgue measure by rescaling it through the absolute
value of its determinant, in `Real.map_linearMap_volume_pi_eq_smul_volume_pi`.
More properties of the Lebesgue measure are deduced from this in
`Mathlib/MeasureTheory/Measure/Lebesgue/EqHaar.lean`, where they are proved more generally for any
additive Haar measure on a finite-dimensional real vector space.
-/
assert_not_exists MeasureTheory.integral
noncomputable section
open scoped Classical
open Set Filter MeasureTheory MeasureTheory.Measure TopologicalSpace
open ENNReal (ofReal)
open scoped ENNReal NNReal Topology
/-!
### Definition of the Lebesgue measure and lengths of intervals
-/
namespace Real
variable {ι : Type*} [Fintype ι]
/-- The volume on the real line (as a particular case of the volume on a finite-dimensional
inner product space) coincides with the Stieltjes measure coming from the identity function. -/
theorem volume_eq_stieltjes_id : (volume : Measure ℝ) = StieltjesFunction.id.measure := by
haveI : IsAddLeftInvariant StieltjesFunction.id.measure :=
⟨fun a =>
Eq.symm <|
Real.measure_ext_Ioo_rat fun p q => by
simp only [Measure.map_apply (measurable_const_add a) measurableSet_Ioo,
sub_sub_sub_cancel_right, StieltjesFunction.measure_Ioo, StieltjesFunction.id_leftLim,
StieltjesFunction.id_apply, id, preimage_const_add_Ioo]⟩
have A : StieltjesFunction.id.measure (stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped = 1 := by
change StieltjesFunction.id.measure (parallelepiped (stdOrthonormalBasis ℝ ℝ)) = 1
rcases parallelepiped_orthonormalBasis_one_dim (stdOrthonormalBasis ℝ ℝ) with (H | H) <;>
simp only [H, StieltjesFunction.measure_Icc, StieltjesFunction.id_apply, id, tsub_zero,
StieltjesFunction.id_leftLim, sub_neg_eq_add, zero_add, ENNReal.ofReal_one]
conv_rhs =>
rw [addHaarMeasure_unique StieltjesFunction.id.measure
(stdOrthonormalBasis ℝ ℝ).toBasis.parallelepiped, A]
simp only [volume, Basis.addHaar, one_smul]
#align real.volume_eq_stieltjes_id Real.volume_eq_stieltjes_id
theorem volume_val (s) : volume s = StieltjesFunction.id.measure s := by
simp [volume_eq_stieltjes_id]
#align real.volume_val Real.volume_val
@[simp]
theorem volume_Ico {a b : ℝ} : volume (Ico a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ico Real.volume_Ico
@[simp]
theorem volume_Icc {a b : ℝ} : volume (Icc a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Icc Real.volume_Icc
@[simp]
theorem volume_Ioo {a b : ℝ} : volume (Ioo a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ioo Real.volume_Ioo
@[simp]
theorem volume_Ioc {a b : ℝ} : volume (Ioc a b) = ofReal (b - a) := by simp [volume_val]
#align real.volume_Ioc Real.volume_Ioc
-- @[simp] -- Porting note (#10618): simp can prove this
theorem volume_singleton {a : ℝ} : volume ({a} : Set ℝ) = 0 := by simp [volume_val]
#align real.volume_singleton Real.volume_singleton
-- @[simp] -- Porting note (#10618): simp can prove this, after mathlib4#4628
| Mathlib/MeasureTheory/Measure/Lebesgue/Basic.lean | 100 | 104 | theorem volume_univ : volume (univ : Set ℝ) = ∞ :=
ENNReal.eq_top_of_forall_nnreal_le fun r =>
calc
(r : ℝ≥0∞) = volume (Icc (0 : ℝ) r) := by | simp
_ ≤ volume univ := measure_mono (subset_univ _)
|
/-
Copyright (c) 2020 Fox Thomson. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Fox Thomson
-/
import Mathlib.Computability.DFA
import Mathlib.Data.Fintype.Powerset
#align_import computability.NFA from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
/-!
# Nondeterministic Finite Automata
This file contains the definition of a Nondeterministic Finite Automaton (NFA), a state machine
which determines whether a string (implemented as a list over an arbitrary alphabet) is in a regular
set by evaluating the string over every possible path.
We show that DFA's are equivalent to NFA's however the construction from NFA to DFA uses an
exponential number of states.
Note that this definition allows for Automaton with infinite states; a `Fintype` instance must be
supplied for true NFA's.
-/
open Set
open Computability
universe u v
-- Porting note: Required as `NFA` is used in mathlib3
set_option linter.uppercaseLean3 false
/-- An NFA is a set of states (`σ`), a transition function from state to state labelled by the
alphabet (`step`), a set of starting states (`start`) and a set of acceptance states (`accept`).
Note the transition function sends a state to a `Set` of states. These are the states that it
may be sent to. -/
structure NFA (α : Type u) (σ : Type v) where
step : σ → α → Set σ
start : Set σ
accept : Set σ
#align NFA NFA
variable {α : Type u} {σ σ' : Type v} (M : NFA α σ)
namespace NFA
instance : Inhabited (NFA α σ) :=
⟨NFA.mk (fun _ _ => ∅) ∅ ∅⟩
/-- `M.stepSet S a` is the union of `M.step s a` for all `s ∈ S`. -/
def stepSet (S : Set σ) (a : α) : Set σ :=
⋃ s ∈ S, M.step s a
#align NFA.step_set NFA.stepSet
theorem mem_stepSet (s : σ) (S : Set σ) (a : α) : s ∈ M.stepSet S a ↔ ∃ t ∈ S, s ∈ M.step t a := by
simp [stepSet]
#align NFA.mem_step_set NFA.mem_stepSet
@[simp]
theorem stepSet_empty (a : α) : M.stepSet ∅ a = ∅ := by simp [stepSet]
#align NFA.step_set_empty NFA.stepSet_empty
/-- `M.evalFrom S x` computes all possible paths though `M` with input `x` starting at an element
of `S`. -/
def evalFrom (start : Set σ) : List α → Set σ :=
List.foldl M.stepSet start
#align NFA.eval_from NFA.evalFrom
@[simp]
theorem evalFrom_nil (S : Set σ) : M.evalFrom S [] = S :=
rfl
#align NFA.eval_from_nil NFA.evalFrom_nil
@[simp]
theorem evalFrom_singleton (S : Set σ) (a : α) : M.evalFrom S [a] = M.stepSet S a :=
rfl
#align NFA.eval_from_singleton NFA.evalFrom_singleton
@[simp]
theorem evalFrom_append_singleton (S : Set σ) (x : List α) (a : α) :
M.evalFrom S (x ++ [a]) = M.stepSet (M.evalFrom S x) a := by
simp only [evalFrom, List.foldl_append, List.foldl_cons, List.foldl_nil]
#align NFA.eval_from_append_singleton NFA.evalFrom_append_singleton
/-- `M.eval x` computes all possible paths though `M` with input `x` starting at an element of
`M.start`. -/
def eval : List α → Set σ :=
M.evalFrom M.start
#align NFA.eval NFA.eval
@[simp]
theorem eval_nil : M.eval [] = M.start :=
rfl
#align NFA.eval_nil NFA.eval_nil
@[simp]
theorem eval_singleton (a : α) : M.eval [a] = M.stepSet M.start a :=
rfl
#align NFA.eval_singleton NFA.eval_singleton
@[simp]
theorem eval_append_singleton (x : List α) (a : α) : M.eval (x ++ [a]) = M.stepSet (M.eval x) a :=
evalFrom_append_singleton _ _ _ _
#align NFA.eval_append_singleton NFA.eval_append_singleton
/-- `M.accepts` is the language of `x` such that there is an accept state in `M.eval x`. -/
def accepts : Language α := {x | ∃ S ∈ M.accept, S ∈ M.eval x}
#align NFA.accepts NFA.accepts
| Mathlib/Computability/NFA.lean | 108 | 109 | theorem mem_accepts {x : List α} : x ∈ M.accepts ↔ ∃ S ∈ M.accept, S ∈ M.evalFrom M.start x := by |
rfl
|
/-
Copyright (c) 2022 Kyle Miller. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kyle Miller, Vincent Beffara
-/
import Mathlib.Combinatorics.SimpleGraph.Connectivity
import Mathlib.Data.Nat.Lattice
#align_import combinatorics.simple_graph.metric from "leanprover-community/mathlib"@"352ecfe114946c903338006dd3287cb5a9955ff2"
/-!
# Graph metric
This module defines the `SimpleGraph.dist` function, which takes
pairs of vertices to the length of the shortest walk between them.
## Main definitions
- `SimpleGraph.dist` is the graph metric.
## Todo
- Provide an additional computable version of `SimpleGraph.dist`
for when `G` is connected.
- Evaluate `Nat` vs `ENat` for the codomain of `dist`, or potentially
having an additional `edist` when the objects under consideration are
disconnected graphs.
- When directed graphs exist, a directed notion of distance,
likely `ENat`-valued.
## Tags
graph metric, distance
-/
namespace SimpleGraph
variable {V : Type*} (G : SimpleGraph V)
/-! ## Metric -/
/-- The distance between two vertices is the length of the shortest walk between them.
If no such walk exists, this uses the junk value of `0`. -/
noncomputable def dist (u v : V) : ℕ :=
sInf (Set.range (Walk.length : G.Walk u v → ℕ))
#align simple_graph.dist SimpleGraph.dist
variable {G}
protected theorem Reachable.exists_walk_of_dist {u v : V} (hr : G.Reachable u v) :
∃ p : G.Walk u v, p.length = G.dist u v :=
Nat.sInf_mem (Set.range_nonempty_iff_nonempty.mpr hr)
#align simple_graph.reachable.exists_walk_of_dist SimpleGraph.Reachable.exists_walk_of_dist
protected theorem Connected.exists_walk_of_dist (hconn : G.Connected) (u v : V) :
∃ p : G.Walk u v, p.length = G.dist u v :=
(hconn u v).exists_walk_of_dist
#align simple_graph.connected.exists_walk_of_dist SimpleGraph.Connected.exists_walk_of_dist
theorem dist_le {u v : V} (p : G.Walk u v) : G.dist u v ≤ p.length :=
Nat.sInf_le ⟨p, rfl⟩
#align simple_graph.dist_le SimpleGraph.dist_le
@[simp]
theorem dist_eq_zero_iff_eq_or_not_reachable {u v : V} :
G.dist u v = 0 ↔ u = v ∨ ¬G.Reachable u v := by simp [dist, Nat.sInf_eq_zero, Reachable]
#align simple_graph.dist_eq_zero_iff_eq_or_not_reachable SimpleGraph.dist_eq_zero_iff_eq_or_not_reachable
theorem dist_self {v : V} : dist G v v = 0 := by simp
#align simple_graph.dist_self SimpleGraph.dist_self
protected theorem Reachable.dist_eq_zero_iff {u v : V} (hr : G.Reachable u v) :
G.dist u v = 0 ↔ u = v := by simp [hr]
#align simple_graph.reachable.dist_eq_zero_iff SimpleGraph.Reachable.dist_eq_zero_iff
protected theorem Reachable.pos_dist_of_ne {u v : V} (h : G.Reachable u v) (hne : u ≠ v) :
0 < G.dist u v :=
Nat.pos_of_ne_zero (by simp [h, hne])
#align simple_graph.reachable.pos_dist_of_ne SimpleGraph.Reachable.pos_dist_of_ne
protected theorem Connected.dist_eq_zero_iff (hconn : G.Connected) {u v : V} :
G.dist u v = 0 ↔ u = v := by simp [hconn u v]
#align simple_graph.connected.dist_eq_zero_iff SimpleGraph.Connected.dist_eq_zero_iff
protected theorem Connected.pos_dist_of_ne {u v : V} (hconn : G.Connected) (hne : u ≠ v) :
0 < G.dist u v :=
Nat.pos_of_ne_zero (by intro h; exact False.elim (hne (hconn.dist_eq_zero_iff.mp h)))
#align simple_graph.connected.pos_dist_of_ne SimpleGraph.Connected.pos_dist_of_ne
theorem dist_eq_zero_of_not_reachable {u v : V} (h : ¬G.Reachable u v) : G.dist u v = 0 := by
simp [h]
#align simple_graph.dist_eq_zero_of_not_reachable SimpleGraph.dist_eq_zero_of_not_reachable
theorem nonempty_of_pos_dist {u v : V} (h : 0 < G.dist u v) :
(Set.univ : Set (G.Walk u v)).Nonempty := by
simpa [Set.range_nonempty_iff_nonempty, Set.nonempty_iff_univ_nonempty] using
Nat.nonempty_of_pos_sInf h
#align simple_graph.nonempty_of_pos_dist SimpleGraph.nonempty_of_pos_dist
protected theorem Connected.dist_triangle (hconn : G.Connected) {u v w : V} :
G.dist u w ≤ G.dist u v + G.dist v w := by
obtain ⟨p, hp⟩ := hconn.exists_walk_of_dist u v
obtain ⟨q, hq⟩ := hconn.exists_walk_of_dist v w
rw [← hp, ← hq, ← Walk.length_append]
apply dist_le
#align simple_graph.connected.dist_triangle SimpleGraph.Connected.dist_triangle
private theorem dist_comm_aux {u v : V} (h : G.Reachable u v) : G.dist u v ≤ G.dist v u := by
obtain ⟨p, hp⟩ := h.symm.exists_walk_of_dist
rw [← hp, ← Walk.length_reverse]
apply dist_le
| Mathlib/Combinatorics/SimpleGraph/Metric.lean | 118 | 122 | theorem dist_comm {u v : V} : G.dist u v = G.dist v u := by |
by_cases h : G.Reachable u v
· apply le_antisymm (dist_comm_aux h) (dist_comm_aux h.symm)
· have h' : ¬G.Reachable v u := fun h' => absurd h'.symm h
simp [h, h', dist_eq_zero_of_not_reachable]
|
/-
Copyright (c) 2014 Floris van Doorn. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Floris van Doorn, Jeremy Avigad
-/
import Mathlib.Algebra.Order.Ring.Nat
#align_import data.nat.dist from "leanprover-community/mathlib"@"d50b12ae8e2bd910d08a94823976adae9825718b"
/-!
# Distance function on ℕ
This file defines a simple distance function on naturals from truncated subtraction.
-/
namespace Nat
/-- Distance (absolute value of difference) between natural numbers. -/
def dist (n m : ℕ) :=
n - m + (m - n)
#align nat.dist Nat.dist
-- Should be aligned to `Nat.dist.eq_def`, but that is generated on demand and isn't present yet.
#noalign nat.dist.def
theorem dist_comm (n m : ℕ) : dist n m = dist m n := by simp [dist, add_comm]
#align nat.dist_comm Nat.dist_comm
@[simp]
theorem dist_self (n : ℕ) : dist n n = 0 := by simp [dist, tsub_self]
#align nat.dist_self Nat.dist_self
theorem eq_of_dist_eq_zero {n m : ℕ} (h : dist n m = 0) : n = m :=
have : n - m = 0 := Nat.eq_zero_of_add_eq_zero_right h
have : n ≤ m := tsub_eq_zero_iff_le.mp this
have : m - n = 0 := Nat.eq_zero_of_add_eq_zero_left h
have : m ≤ n := tsub_eq_zero_iff_le.mp this
le_antisymm ‹n ≤ m› ‹m ≤ n›
#align nat.eq_of_dist_eq_zero Nat.eq_of_dist_eq_zero
| Mathlib/Data/Nat/Dist.lean | 42 | 42 | theorem dist_eq_zero {n m : ℕ} (h : n = m) : dist n m = 0 := by | rw [h, dist_self]
|
/-
Copyright (c) 2023 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Patrick Massot
-/
import Mathlib.LinearAlgebra.Basis
import Mathlib.LinearAlgebra.Dual
import Mathlib.Data.Fin.FlagRange
/-!
# Flag of submodules defined by a basis
In this file we define `Basis.flag b k`, where `b : Basis (Fin n) R M`, `k : Fin (n + 1)`,
to be the subspace spanned by the first `k` vectors of the basis `b`.
We also prove some lemmas about this definition.
-/
open Set Submodule
namespace Basis
section Semiring
variable {R M : Type*} [Semiring R] [AddCommMonoid M] [Module R M] {n : ℕ}
/-- The subspace spanned by the first `k` vectors of the basis `b`. -/
def flag (b : Basis (Fin n) R M) (k : Fin (n + 1)) : Submodule R M :=
.span R <| b '' {i | i.castSucc < k}
@[simp]
| Mathlib/LinearAlgebra/Basis/Flag.lean | 32 | 32 | theorem flag_zero (b : Basis (Fin n) R M) : b.flag 0 = ⊥ := by | simp [flag]
|
/-
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.MFDeriv.SpecificFunctions
/-!
# Differentiability of models with corners and (extended) charts
In this file, we analyse the differentiability of charts, models with corners and extended charts.
We show that
* models with corners are differentiable
* charts are differentiable on their source
* `mdifferentiableOn_extChartAt`: `extChartAt` is differentiable on its source
Suppose a partial homeomorphism `e` is differentiable. This file shows
* `PartialHomeomorph.MDifferentiable.mfderiv`: its derivative is a continuous linear equivalence
* `PartialHomeomorph.MDifferentiable.mfderiv_bijective`: its derivative is bijective;
there are also spelling with trivial kernel and full range
In particular, (extended) charts have bijective differential.
## Tags
charts, differentiable, bijective
-/
noncomputable section
open scoped Manifold
open Bundle Set Topology
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
{E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H]
(I : ModelWithCorners 𝕜 E H) {M : Type*} [TopologicalSpace M] [ChartedSpace H M]
{E' : Type*} [NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H']
(I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M']
{E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E''] {H'' : Type*} [TopologicalSpace H'']
(I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*} [TopologicalSpace M''] [ChartedSpace H'' M'']
section ModelWithCorners
namespace ModelWithCorners
/-! #### Model with corners -/
protected theorem hasMFDerivAt {x} : HasMFDerivAt I 𝓘(𝕜, E) I x (ContinuousLinearMap.id _ _) :=
⟨I.continuousAt, (hasFDerivWithinAt_id _ _).congr' I.rightInvOn (mem_range_self _)⟩
#align model_with_corners.has_mfderiv_at ModelWithCorners.hasMFDerivAt
protected theorem hasMFDerivWithinAt {s x} :
HasMFDerivWithinAt I 𝓘(𝕜, E) I s x (ContinuousLinearMap.id _ _) :=
I.hasMFDerivAt.hasMFDerivWithinAt
#align model_with_corners.has_mfderiv_within_at ModelWithCorners.hasMFDerivWithinAt
protected theorem mdifferentiableWithinAt {s x} : MDifferentiableWithinAt I 𝓘(𝕜, E) I s x :=
I.hasMFDerivWithinAt.mdifferentiableWithinAt
#align model_with_corners.mdifferentiable_within_at ModelWithCorners.mdifferentiableWithinAt
protected theorem mdifferentiableAt {x} : MDifferentiableAt I 𝓘(𝕜, E) I x :=
I.hasMFDerivAt.mdifferentiableAt
#align model_with_corners.mdifferentiable_at ModelWithCorners.mdifferentiableAt
protected theorem mdifferentiableOn {s} : MDifferentiableOn I 𝓘(𝕜, E) I s := fun _ _ =>
I.mdifferentiableWithinAt
#align model_with_corners.mdifferentiable_on ModelWithCorners.mdifferentiableOn
protected theorem mdifferentiable : MDifferentiable I 𝓘(𝕜, E) I := fun _ => I.mdifferentiableAt
#align model_with_corners.mdifferentiable ModelWithCorners.mdifferentiable
theorem hasMFDerivWithinAt_symm {x} (hx : x ∈ range I) :
HasMFDerivWithinAt 𝓘(𝕜, E) I I.symm (range I) x (ContinuousLinearMap.id _ _) :=
⟨I.continuousWithinAt_symm,
(hasFDerivWithinAt_id _ _).congr' (fun _y hy => I.rightInvOn hy.1) ⟨hx, mem_range_self _⟩⟩
#align model_with_corners.has_mfderiv_within_at_symm ModelWithCorners.hasMFDerivWithinAt_symm
theorem mdifferentiableOn_symm : MDifferentiableOn 𝓘(𝕜, E) I I.symm (range I) := fun _x hx =>
(I.hasMFDerivWithinAt_symm hx).mdifferentiableWithinAt
#align model_with_corners.mdifferentiable_on_symm ModelWithCorners.mdifferentiableOn_symm
end ModelWithCorners
end ModelWithCorners
section Charts
variable [SmoothManifoldWithCorners I M] [SmoothManifoldWithCorners I' M']
[SmoothManifoldWithCorners I'' M''] {e : PartialHomeomorph M H}
| Mathlib/Geometry/Manifold/MFDeriv/Atlas.lean | 89 | 106 | theorem mdifferentiableAt_atlas (h : e ∈ atlas H M) {x : M} (hx : x ∈ e.source) :
MDifferentiableAt I I e x := by |
rw [mdifferentiableAt_iff]
refine ⟨(e.continuousOn x hx).continuousAt (e.open_source.mem_nhds hx), ?_⟩
have mem :
I ((chartAt H x : M → H) x) ∈ I.symm ⁻¹' ((chartAt H x).symm ≫ₕ e).source ∩ range I := by
simp only [hx, mfld_simps]
have : (chartAt H x).symm.trans e ∈ contDiffGroupoid ∞ I :=
HasGroupoid.compatible (chart_mem_atlas H x) h
have A :
ContDiffOn 𝕜 ∞ (I ∘ (chartAt H x).symm.trans e ∘ I.symm)
(I.symm ⁻¹' ((chartAt H x).symm.trans e).source ∩ range I) :=
this.1
have B := A.differentiableOn le_top (I ((chartAt H x : M → H) x)) mem
simp only [mfld_simps] at B
rw [inter_comm, differentiableWithinAt_inter] at B
· simpa only [mfld_simps]
· apply IsOpen.mem_nhds ((PartialHomeomorph.open_source _).preimage I.continuous_symm) mem.1
|
/-
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.LinearAlgebra.Matrix.ToLin
import Mathlib.LinearAlgebra.Quotient
import Mathlib.RingTheory.Ideal.Maps
import Mathlib.RingTheory.Nilpotent.Defs
#align_import ring_theory.nilpotent from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff"
/-!
# Nilpotent elements
This file contains results about nilpotent elements that involve ring theory.
-/
universe u v
open Function Set
variable {R S : Type*} {x y : R}
theorem RingHom.ker_isRadical_iff_reduced_of_surjective {S F} [CommSemiring R] [CommRing S]
[FunLike F R S] [RingHomClass F R S] {f : F} (hf : Function.Surjective f) :
(RingHom.ker f).IsRadical ↔ IsReduced S := by
simp_rw [isReduced_iff, hf.forall, IsNilpotent, ← map_pow, ← RingHom.mem_ker]
rfl
#align ring_hom.ker_is_radical_iff_reduced_of_surjective RingHom.ker_isRadical_iff_reduced_of_surjective
| Mathlib/RingTheory/Nilpotent/Lemmas.lean | 32 | 35 | theorem isRadical_iff_span_singleton [CommSemiring R] :
IsRadical y ↔ (Ideal.span ({y} : Set R)).IsRadical := by |
simp_rw [IsRadical, ← Ideal.mem_span_singleton]
exact forall_swap.trans (forall_congr' fun r => exists_imp.symm)
|
/-
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.Pow.Complex
import Qq
#align_import analysis.special_functions.pow.real from "leanprover-community/mathlib"@"4fa54b337f7d52805480306db1b1439c741848c8"
/-! # Power function on `ℝ`
We construct the power functions `x ^ y`, where `x` and `y` are real numbers.
-/
noncomputable section
open scoped Classical
open Real ComplexConjugate
open Finset Set
/-
## Definitions
-/
namespace Real
variable {x y z : ℝ}
/-- The real power function `x ^ y`, defined as the real part of the complex power function.
For `x > 0`, it is equal to `exp (y log x)`. For `x = 0`, one sets `0 ^ 0=1` and `0 ^ y=0` for
`y ≠ 0`. For `x < 0`, the definition is somewhat arbitrary as it depends on the choice of a complex
determination of the logarithm. With our conventions, it is equal to `exp (y log x) cos (π y)`. -/
noncomputable def rpow (x y : ℝ) :=
((x : ℂ) ^ (y : ℂ)).re
#align real.rpow Real.rpow
noncomputable instance : Pow ℝ ℝ := ⟨rpow⟩
@[simp]
theorem rpow_eq_pow (x y : ℝ) : rpow x y = x ^ y := rfl
#align real.rpow_eq_pow Real.rpow_eq_pow
theorem rpow_def (x y : ℝ) : x ^ y = ((x : ℂ) ^ (y : ℂ)).re := rfl
#align real.rpow_def Real.rpow_def
theorem rpow_def_of_nonneg {x : ℝ} (hx : 0 ≤ x) (y : ℝ) :
x ^ y = if x = 0 then if y = 0 then 1 else 0 else exp (log x * y) := by
simp only [rpow_def, Complex.cpow_def]; split_ifs <;>
simp_all [(Complex.ofReal_log hx).symm, -Complex.ofReal_mul, -RCLike.ofReal_mul,
(Complex.ofReal_mul _ _).symm, Complex.exp_ofReal_re, Complex.ofReal_eq_zero]
#align real.rpow_def_of_nonneg Real.rpow_def_of_nonneg
| Mathlib/Analysis/SpecialFunctions/Pow/Real.lean | 56 | 57 | theorem rpow_def_of_pos {x : ℝ} (hx : 0 < x) (y : ℝ) : x ^ y = exp (log x * y) := by |
rw [rpow_def_of_nonneg (le_of_lt hx), if_neg (ne_of_gt hx)]
|
/-
Copyright (c) 2021 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov
-/
import Mathlib.Analysis.BoxIntegral.Partition.Split
import Mathlib.Analysis.NormedSpace.OperatorNorm.Mul
#align_import analysis.box_integral.partition.additive from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
/-!
# Box additive functions
We say that a function `f : Box ι → M` from boxes in `ℝⁿ` to a commutative additive monoid `M` is
*box additive* on subboxes of `I₀ : WithTop (Box ι)` if for any box `J`, `↑J ≤ I₀`, and a partition
`π` of `J`, `f J = ∑ J' ∈ π.boxes, f J'`. We use `I₀ : WithTop (Box ι)` instead of `I₀ : Box ι` to
use the same definition for functions box additive on subboxes of a box and for functions box
additive on all boxes.
Examples of box-additive functions include the measure of a box and the integral of a fixed
integrable function over a box.
In this file we define box-additive functions and prove that a function such that
`f J = f (J ∩ {x | x i < y}) + f (J ∩ {x | y ≤ x i})` is box-additive.
## Tags
rectangular box, additive function
-/
noncomputable section
open scoped Classical
open Function Set
namespace BoxIntegral
variable {ι M : Type*} {n : ℕ}
/-- A function on `Box ι` is called box additive if for every box `J` and a partition `π` of `J`
we have `f J = ∑ Ji ∈ π.boxes, f Ji`. A function is called box additive on subboxes of `I : Box ι`
if the same property holds for `J ≤ I`. We formalize these two notions in the same definition
using `I : WithBot (Box ι)`: the value `I = ⊤` corresponds to functions box additive on the whole
space. -/
structure BoxAdditiveMap (ι M : Type*) [AddCommMonoid M] (I : WithTop (Box ι)) where
/-- The function underlying this additive map. -/
toFun : Box ι → M
sum_partition_boxes' : ∀ J : Box ι, ↑J ≤ I → ∀ π : Prepartition J, π.IsPartition →
∑ Ji ∈ π.boxes, toFun Ji = toFun J
#align box_integral.box_additive_map BoxIntegral.BoxAdditiveMap
/-- A function on `Box ι` is called box additive if for every box `J` and a partition `π` of `J`
we have `f J = ∑ Ji ∈ π.boxes, f Ji`. -/
scoped notation:25 ι " →ᵇᵃ " M => BoxIntegral.BoxAdditiveMap ι M ⊤
@[inherit_doc] scoped notation:25 ι " →ᵇᵃ[" I "] " M => BoxIntegral.BoxAdditiveMap ι M I
namespace BoxAdditiveMap
open Box Prepartition Finset
variable {N : Type*} [AddCommMonoid M] [AddCommMonoid N] {I₀ : WithTop (Box ι)} {I J : Box ι}
{i : ι}
instance : FunLike (ι →ᵇᵃ[I₀] M) (Box ι) M where
coe := toFun
coe_injective' f g h := by cases f; cases g; congr
initialize_simps_projections BoxIntegral.BoxAdditiveMap (toFun → apply)
#noalign box_integral.box_additive_map.to_fun_eq_coe
@[simp]
theorem coe_mk (f h) : ⇑(mk f h : ι →ᵇᵃ[I₀] M) = f := rfl
#align box_integral.box_additive_map.coe_mk BoxIntegral.BoxAdditiveMap.coe_mk
theorem coe_injective : Injective fun (f : ι →ᵇᵃ[I₀] M) x => f x :=
DFunLike.coe_injective
#align box_integral.box_additive_map.coe_injective BoxIntegral.BoxAdditiveMap.coe_injective
-- Porting note (#10618): was @[simp], now can be proved by `simp`
theorem coe_inj {f g : ι →ᵇᵃ[I₀] M} : (f : Box ι → M) = g ↔ f = g := DFunLike.coe_fn_eq
#align box_integral.box_additive_map.coe_inj BoxIntegral.BoxAdditiveMap.coe_inj
theorem sum_partition_boxes (f : ι →ᵇᵃ[I₀] M) (hI : ↑I ≤ I₀) {π : Prepartition I}
(h : π.IsPartition) : ∑ J ∈ π.boxes, f J = f I :=
f.sum_partition_boxes' I hI π h
#align box_integral.box_additive_map.sum_partition_boxes BoxIntegral.BoxAdditiveMap.sum_partition_boxes
@[simps (config := .asFn)]
instance : Zero (ι →ᵇᵃ[I₀] M) :=
⟨⟨0, fun _ _ _ _ => sum_const_zero⟩⟩
instance : Inhabited (ι →ᵇᵃ[I₀] M) :=
⟨0⟩
instance : Add (ι →ᵇᵃ[I₀] M) :=
⟨fun f g =>
⟨f + g, fun I hI π hπ => by
simp only [Pi.add_apply, sum_add_distrib, sum_partition_boxes _ hI hπ]⟩⟩
instance {R} [Monoid R] [DistribMulAction R M] : SMul R (ι →ᵇᵃ[I₀] M) :=
⟨fun r f =>
⟨r • (f : Box ι → M), fun I hI π hπ => by
simp only [Pi.smul_apply, ← smul_sum, sum_partition_boxes _ hI hπ]⟩⟩
instance : AddCommMonoid (ι →ᵇᵃ[I₀] M) :=
Function.Injective.addCommMonoid _ coe_injective rfl (fun _ _ => rfl) fun _ _ => rfl
@[simp]
| Mathlib/Analysis/BoxIntegral/Partition/Additive.lean | 113 | 115 | theorem map_split_add (f : ι →ᵇᵃ[I₀] M) (hI : ↑I ≤ I₀) (i : ι) (x : ℝ) :
(I.splitLower i x).elim' 0 f + (I.splitUpper i x).elim' 0 f = f I := by |
rw [← f.sum_partition_boxes hI (isPartitionSplit I i x), sum_split_boxes]
|
/-
Copyright (c) 2022 Violeta Hernández Palacios. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Violeta Hernández Palacios
-/
import Mathlib.SetTheory.Ordinal.FixedPoint
#align_import set_theory.ordinal.principal from "leanprover-community/mathlib"@"31b269b60935483943542d547a6dd83a66b37dc7"
/-!
### Principal ordinals
We define principal or indecomposable ordinals, and we prove the standard properties about them.
### Main definitions and results
* `Principal`: A principal or indecomposable ordinal under some binary operation. We include 0 and
any other typically excluded edge cases for simplicity.
* `unbounded_principal`: Principal ordinals are unbounded.
* `principal_add_iff_zero_or_omega_opow`: The main characterization theorem for additive principal
ordinals.
* `principal_mul_iff_le_two_or_omega_opow_opow`: The main characterization theorem for
multiplicative principal ordinals.
### Todo
* Prove that exponential principal ordinals are 0, 1, 2, ω, or epsilon numbers, i.e. fixed points
of `fun x ↦ ω ^ x`.
-/
universe u v w
noncomputable section
open Order
namespace Ordinal
-- Porting note: commented out, doesn't seem necessary
--local infixr:0 "^" => @pow Ordinal Ordinal Ordinal.hasPow
/-! ### Principal ordinals -/
/-- An ordinal `o` is said to be principal or indecomposable under an operation when the set of
ordinals less than it is closed under that operation. In standard mathematical usage, this term is
almost exclusively used for additive and multiplicative principal ordinals.
For simplicity, we break usual convention and regard 0 as principal. -/
def Principal (op : Ordinal → Ordinal → Ordinal) (o : Ordinal) : Prop :=
∀ ⦃a b⦄, a < o → b < o → op a b < o
#align ordinal.principal Ordinal.Principal
theorem principal_iff_principal_swap {op : Ordinal → Ordinal → Ordinal} {o : Ordinal} :
Principal op o ↔ Principal (Function.swap op) o := by
constructor <;> exact fun h a b ha hb => h hb ha
#align ordinal.principal_iff_principal_swap Ordinal.principal_iff_principal_swap
theorem principal_zero {op : Ordinal → Ordinal → Ordinal} : Principal op 0 := fun a _ h =>
(Ordinal.not_lt_zero a h).elim
#align ordinal.principal_zero Ordinal.principal_zero
@[simp]
theorem principal_one_iff {op : Ordinal → Ordinal → Ordinal} : Principal op 1 ↔ op 0 0 = 0 := by
refine ⟨fun h => ?_, fun h a b ha hb => ?_⟩
· rw [← lt_one_iff_zero]
exact h zero_lt_one zero_lt_one
· rwa [lt_one_iff_zero, ha, hb] at *
#align ordinal.principal_one_iff Ordinal.principal_one_iff
theorem Principal.iterate_lt {op : Ordinal → Ordinal → Ordinal} {a o : Ordinal} (hao : a < o)
(ho : Principal op o) (n : ℕ) : (op a)^[n] a < o := by
induction' n with n hn
· rwa [Function.iterate_zero]
· rw [Function.iterate_succ']
exact ho hao hn
#align ordinal.principal.iterate_lt Ordinal.Principal.iterate_lt
| Mathlib/SetTheory/Ordinal/Principal.lean | 77 | 81 | theorem op_eq_self_of_principal {op : Ordinal → Ordinal → Ordinal} {a o : Ordinal.{u}} (hao : a < o)
(H : IsNormal (op a)) (ho : Principal op o) (ho' : IsLimit o) : op a o = o := by |
refine le_antisymm ?_ (H.self_le _)
rw [← IsNormal.bsup_eq.{u, u} H ho', bsup_le_iff]
exact fun b hbo => (ho hao hbo).le
|
/-
Copyright (c) 2017 Johannes Hölzl. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Johannes Hölzl
-/
import Mathlib.Data.Matrix.Basis
import Mathlib.LinearAlgebra.Basis
import Mathlib.LinearAlgebra.Pi
#align_import linear_algebra.std_basis from "leanprover-community/mathlib"@"13bce9a6b6c44f6b4c91ac1c1d2a816e2533d395"
/-!
# The standard basis
This file defines the standard basis `Pi.basis (s : ∀ j, Basis (ι j) R (M j))`,
which is the `Σ j, ι j`-indexed basis of `Π j, M j`. The basis vectors are given by
`Pi.basis s ⟨j, i⟩ j' = LinearMap.stdBasis R M j' (s j) i = if j = j' then s i else 0`.
The standard basis on `R^η`, i.e. `η → R` is called `Pi.basisFun`.
To give a concrete example, `LinearMap.stdBasis R (fun (i : Fin 3) ↦ R) i 1`
gives the `i`th unit basis vector in `R³`, and `Pi.basisFun R (Fin 3)` proves
this is a basis over `Fin 3 → R`.
## Main definitions
- `LinearMap.stdBasis R M`: if `x` is a basis vector of `M i`, then
`LinearMap.stdBasis R M i x` is the `i`th standard basis vector of `Π i, M i`.
- `Pi.basis s`: given a basis `s i` for each `M i`, the standard basis on `Π i, M i`
- `Pi.basisFun R η`: the standard basis on `R^η`, i.e. `η → R`, given by
`Pi.basisFun R η i j = if i = j then 1 else 0`.
- `Matrix.stdBasis R n m`: the standard basis on `Matrix n m R`, given by
`Matrix.stdBasis R n m (i, j) i' j' = if (i, j) = (i', j') then 1 else 0`.
-/
open Function Set Submodule
namespace LinearMap
variable (R : Type*) {ι : Type*} [Semiring R] (φ : ι → Type*) [∀ i, AddCommMonoid (φ i)]
[∀ i, Module R (φ i)] [DecidableEq ι]
/-- The standard basis of the product of `φ`. -/
def stdBasis : ∀ i : ι, φ i →ₗ[R] ∀ i, φ i :=
single
#align linear_map.std_basis LinearMap.stdBasis
theorem stdBasis_apply (i : ι) (b : φ i) : stdBasis R φ i b = update (0 : (a : ι) → φ a) i b :=
rfl
#align linear_map.std_basis_apply LinearMap.stdBasis_apply
@[simp]
| Mathlib/LinearAlgebra/StdBasis.lean | 55 | 57 | theorem stdBasis_apply' (i i' : ι) : (stdBasis R (fun _x : ι => R) i) 1 i' = ite (i = i') 1 0 := by |
rw [LinearMap.stdBasis_apply, Function.update_apply, Pi.zero_apply]
congr 1; rw [eq_iff_iff, eq_comm]
|
/-
Copyright (c) 2018 Kenny Lau. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Riccardo Brasca
-/
import Mathlib.Algebra.Algebra.Prod
import Mathlib.Algebra.Algebra.Subalgebra.Basic
#align_import algebra.algebra.subalgebra.basic from "leanprover-community/mathlib"@"b915e9392ecb2a861e1e766f0e1df6ac481188ca"
/-!
# Products of subalgebras
In this file we define the product of two subalgebras as a subalgebra of the product algebra.
## Main definitions
* `Subalgebra.prod`: the product of two subalgebras.
-/
namespace Subalgebra
open Algebra
variable {R A B : Type*} [CommSemiring R] [Semiring A] [Algebra R A] [Semiring B] [Algebra R B]
variable (S : Subalgebra R A) (S₁ : Subalgebra R B)
/-- The product of two subalgebras is a subalgebra. -/
def prod : Subalgebra R (A × B) :=
{ S.toSubsemiring.prod S₁.toSubsemiring with
carrier := S ×ˢ S₁
algebraMap_mem' := fun _ => ⟨algebraMap_mem _ _, algebraMap_mem _ _⟩ }
#align subalgebra.prod Subalgebra.prod
@[simp]
theorem coe_prod : (prod S S₁ : Set (A × B)) = (S : Set A) ×ˢ (S₁ : Set B) :=
rfl
#align subalgebra.coe_prod Subalgebra.coe_prod
open Subalgebra in
theorem prod_toSubmodule : toSubmodule (S.prod S₁) = (toSubmodule S).prod (toSubmodule S₁) := rfl
#align subalgebra.prod_to_submodule Subalgebra.prod_toSubmodule
@[simp]
theorem mem_prod {S : Subalgebra R A} {S₁ : Subalgebra R B} {x : A × B} :
x ∈ prod S S₁ ↔ x.1 ∈ S ∧ x.2 ∈ S₁ := Set.mem_prod
#align subalgebra.mem_prod Subalgebra.mem_prod
@[simp]
| Mathlib/Algebra/Algebra/Subalgebra/Prod.lean | 51 | 51 | theorem prod_top : (prod ⊤ ⊤ : Subalgebra R (A × B)) = ⊤ := by | ext; simp
|
/-
Copyright (c) 2023 Chris Hughes. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Chris Hughes
-/
import Mathlib.GroupTheory.CoprodI
import Mathlib.GroupTheory.Coprod.Basic
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.GroupTheory.Complement
/-!
## Pushouts of Monoids and Groups
This file defines wide pushouts of monoids and groups and proves some properties
of the amalgamated product of groups (i.e. the special case where all the maps
in the diagram are injective).
## Main definitions
- `Monoid.PushoutI`: the pushout of a diagram of monoids indexed by a type `ι`
- `Monoid.PushoutI.base`: the map from the amalgamating monoid to the pushout
- `Monoid.PushoutI.of`: the map from each Monoid in the family to the pushout
- `Monoid.PushoutI.lift`: the universal property used to define homomorphisms out of the pushout.
- `Monoid.PushoutI.NormalWord`: a normal form for words in the pushout
- `Monoid.PushoutI.of_injective`: if all the maps in the diagram are injective in a pushout of
groups then so is `of`
- `Monoid.PushoutI.Reduced.eq_empty_of_mem_range`: For any word `w` in the coproduct,
if `w` is reduced (i.e none its letters are in the image of the base monoid), and nonempty, then
`w` itself is not in the image of the base monoid.
## References
* The normal form theorem follows these [notes](https://webspace.maths.qmul.ac.uk/i.m.chiswell/ggt/lecture_notes/lecture2.pdf)
from Queen Mary University
## Tags
amalgamated product, pushout, group
-/
namespace Monoid
open CoprodI Subgroup Coprod Function List
variable {ι : Type*} {G : ι → Type*} {H : Type*} {K : Type*} [Monoid K]
/-- The relation we quotient by to form the pushout -/
def PushoutI.con [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) :
Con (Coprod (CoprodI G) H) :=
conGen (fun x y : Coprod (CoprodI G) H =>
∃ i x', x = inl (of (φ i x')) ∧ y = inr x')
/-- The indexed pushout of monoids, which is the pushout in the category of monoids,
or the category of groups. -/
def PushoutI [∀ i, Monoid (G i)] [Monoid H] (φ : ∀ i, H →* G i) : Type _ :=
(PushoutI.con φ).Quotient
namespace PushoutI
section Monoid
variable [∀ i, Monoid (G i)] [Monoid H] {φ : ∀ i, H →* G i}
protected instance mul : Mul (PushoutI φ) := by
delta PushoutI; infer_instance
protected instance one : One (PushoutI φ) := by
delta PushoutI; infer_instance
instance monoid : Monoid (PushoutI φ) :=
{ Con.monoid _ with
toMul := PushoutI.mul
toOne := PushoutI.one }
/-- The map from each indexing group into the pushout -/
def of (i : ι) : G i →* PushoutI φ :=
(Con.mk' _).comp <| inl.comp CoprodI.of
variable (φ) in
/-- The map from the base monoid into the pushout -/
def base : H →* PushoutI φ :=
(Con.mk' _).comp inr
theorem of_comp_eq_base (i : ι) : (of i).comp (φ i) = (base φ) := by
ext x
apply (Con.eq _).2
refine ConGen.Rel.of _ _ ?_
simp only [MonoidHom.comp_apply, Set.mem_iUnion, Set.mem_range]
exact ⟨_, _, rfl, rfl⟩
variable (φ) in
| Mathlib/GroupTheory/PushoutI.lean | 96 | 97 | theorem of_apply_eq_base (i : ι) (x : H) : of i (φ i x) = base φ x := by |
rw [← MonoidHom.comp_apply, of_comp_eq_base]
|
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