Context stringlengths 57 6.04k | file_name stringlengths 21 79 | start int64 14 1.49k | end int64 18 1.5k | theorem stringlengths 25 1.55k | proof stringlengths 5 7.36k | eval_complexity float64 0 1 |
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import Mathlib.Analysis.SpecialFunctions.Pow.Real
#align_import analysis.special_functions.log.monotone from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8"
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {x y : ℝ}
theorem log_mul_self_monotoneOn : MonotoneOn (fun x : ℝ => log x * x) { x | 1 ≤ x } := by
-- TODO: can be strengthened to exp (-1) ≤ x
simp only [MonotoneOn, mem_setOf_eq]
intro x hex y hey hxy
have y_pos : 0 < y := lt_of_lt_of_le zero_lt_one hey
gcongr
rwa [le_log_iff_exp_le y_pos, Real.exp_zero]
#align real.log_mul_self_monotone_on Real.log_mul_self_monotoneOn
theorem log_div_self_antitoneOn : AntitoneOn (fun x : ℝ => log x / x) { x | exp 1 ≤ x } := by
simp only [AntitoneOn, mem_setOf_eq]
intro x hex y hey hxy
have x_pos : 0 < x := (exp_pos 1).trans_le hex
have y_pos : 0 < y := (exp_pos 1).trans_le hey
have hlogx : 1 ≤ log x := by rwa [le_log_iff_exp_le x_pos]
have hyx : 0 ≤ y / x - 1 := by rwa [le_sub_iff_add_le, le_div_iff x_pos, zero_add, one_mul]
rw [div_le_iff y_pos, ← sub_le_sub_iff_right (log x)]
calc
log y - log x = log (y / x) := by rw [log_div y_pos.ne' x_pos.ne']
_ ≤ y / x - 1 := log_le_sub_one_of_pos (div_pos y_pos x_pos)
_ ≤ log x * (y / x - 1) := le_mul_of_one_le_left hyx hlogx
_ = log x / x * y - log x := by ring
#align real.log_div_self_antitone_on Real.log_div_self_antitoneOn
theorem log_div_self_rpow_antitoneOn {a : ℝ} (ha : 0 < a) :
AntitoneOn (fun x : ℝ => log x / x ^ a) { x | exp (1 / a) ≤ x } := by
simp only [AntitoneOn, mem_setOf_eq]
intro x hex y _ hxy
have x_pos : 0 < x := lt_of_lt_of_le (exp_pos (1 / a)) hex
have y_pos : 0 < y := by linarith
have x_nonneg : 0 ≤ x := le_trans (le_of_lt (exp_pos (1 / a))) hex
have y_nonneg : 0 ≤ y := by linarith
nth_rw 1 [← rpow_one y]
nth_rw 1 [← rpow_one x]
rw [← div_self (ne_of_lt ha).symm, div_eq_mul_one_div a a, rpow_mul y_nonneg, rpow_mul x_nonneg,
log_rpow (rpow_pos_of_pos y_pos a), log_rpow (rpow_pos_of_pos x_pos a), mul_div_assoc,
mul_div_assoc, mul_le_mul_left (one_div_pos.mpr ha)]
refine log_div_self_antitoneOn ?_ ?_ ?_
· simp only [Set.mem_setOf_eq]
convert rpow_le_rpow _ hex (le_of_lt ha) using 1
· rw [← exp_mul]
simp only [Real.exp_eq_exp]
field_simp [(ne_of_lt ha).symm]
exact le_of_lt (exp_pos (1 / a))
· simp only [Set.mem_setOf_eq]
convert rpow_le_rpow _ (_root_.trans hex hxy) (le_of_lt ha) using 1
· rw [← exp_mul]
simp only [Real.exp_eq_exp]
field_simp [(ne_of_lt ha).symm]
exact le_of_lt (exp_pos (1 / a))
gcongr
#align real.log_div_self_rpow_antitone_on Real.log_div_self_rpow_antitoneOn
| Mathlib/Analysis/SpecialFunctions/Log/Monotone.lean | 85 | 88 | theorem log_div_sqrt_antitoneOn : AntitoneOn (fun x : ℝ => log x / √x) { x | exp 2 ≤ x } := by |
simp_rw [sqrt_eq_rpow]
convert @log_div_self_rpow_antitoneOn (1 / 2) (by norm_num)
norm_num
| 0 |
import Mathlib.CategoryTheory.Balanced
import Mathlib.CategoryTheory.LiftingProperties.Basic
#align_import category_theory.limits.shapes.strong_epi from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
universe v u
namespace CategoryTheory
variable {C : Type u} [Category.{v} C]
variable {P Q : C}
class StrongEpi (f : P ⟶ Q) : Prop where
epi : Epi f
llp : ∀ ⦃X Y : C⦄ (z : X ⟶ Y) [Mono z], HasLiftingProperty f z
#align category_theory.strong_epi CategoryTheory.StrongEpi
#align category_theory.strong_epi.epi CategoryTheory.StrongEpi.epi
theorem StrongEpi.mk' {f : P ⟶ Q} [Epi f]
(hf : ∀ (X Y : C) (z : X ⟶ Y)
(_ : Mono z) (u : P ⟶ X) (v : Q ⟶ Y) (sq : CommSq u f z v), sq.HasLift) :
StrongEpi f :=
{ epi := inferInstance
llp := fun {X Y} z hz => ⟨fun {u v} sq => hf X Y z hz u v sq⟩ }
#align category_theory.strong_epi.mk' CategoryTheory.StrongEpi.mk'
class StrongMono (f : P ⟶ Q) : Prop where
mono : Mono f
rlp : ∀ ⦃X Y : C⦄ (z : X ⟶ Y) [Epi z], HasLiftingProperty z f
#align category_theory.strong_mono CategoryTheory.StrongMono
theorem StrongMono.mk' {f : P ⟶ Q} [Mono f]
(hf : ∀ (X Y : C) (z : X ⟶ Y) (_ : Epi z) (u : X ⟶ P)
(v : Y ⟶ Q) (sq : CommSq u z f v), sq.HasLift) : StrongMono f where
mono := inferInstance
rlp := fun {X Y} z hz => ⟨fun {u v} sq => hf X Y z hz u v sq⟩
#align category_theory.strong_mono.mk' CategoryTheory.StrongMono.mk'
attribute [instance 100] StrongEpi.llp
attribute [instance 100] StrongMono.rlp
instance (priority := 100) epi_of_strongEpi (f : P ⟶ Q) [StrongEpi f] : Epi f :=
StrongEpi.epi
#align category_theory.epi_of_strong_epi CategoryTheory.epi_of_strongEpi
instance (priority := 100) mono_of_strongMono (f : P ⟶ Q) [StrongMono f] : Mono f :=
StrongMono.mono
#align category_theory.mono_of_strong_mono CategoryTheory.mono_of_strongMono
section
variable {R : C} (f : P ⟶ Q) (g : Q ⟶ R)
theorem strongEpi_comp [StrongEpi f] [StrongEpi g] : StrongEpi (f ≫ g) :=
{ epi := epi_comp _ _
llp := by
intros
infer_instance }
#align category_theory.strong_epi_comp CategoryTheory.strongEpi_comp
theorem strongMono_comp [StrongMono f] [StrongMono g] : StrongMono (f ≫ g) :=
{ mono := mono_comp _ _
rlp := by
intros
infer_instance }
#align category_theory.strong_mono_comp CategoryTheory.strongMono_comp
| Mathlib/CategoryTheory/Limits/Shapes/StrongEpi.lean | 114 | 123 | theorem strongEpi_of_strongEpi [StrongEpi (f ≫ g)] : StrongEpi g :=
{ epi := epi_of_epi f g
llp := fun {X Y} z _ => by
constructor
intro u v sq
have h₀ : (f ≫ u) ≫ z = (f ≫ g) ≫ v := by | simp only [Category.assoc, sq.w]
exact
CommSq.HasLift.mk'
⟨(CommSq.mk h₀).lift, by
simp only [← cancel_mono z, Category.assoc, CommSq.fac_right, sq.w], by simp⟩ }
| 0 |
import Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1
#align_import measure_theory.function.conditional_expectation.basic from "leanprover-community/mathlib"@"d8bbb04e2d2a44596798a9207ceefc0fb236e41e"
open TopologicalSpace MeasureTheory.Lp Filter
open scoped ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α F F' 𝕜 : Type*} {p : ℝ≥0∞} [RCLike 𝕜]
-- 𝕜 for ℝ or ℂ
-- F for a Lp submodule
[NormedAddCommGroup F]
[NormedSpace 𝕜 F]
-- F' for integrals on a Lp submodule
[NormedAddCommGroup F']
[NormedSpace 𝕜 F'] [NormedSpace ℝ F'] [CompleteSpace F']
open scoped Classical
variable {m m0 : MeasurableSpace α} {μ : Measure α} {f g : α → F'} {s : Set α}
noncomputable irreducible_def condexp (m : MeasurableSpace α) {m0 : MeasurableSpace α}
(μ : Measure α) (f : α → F') : α → F' :=
if hm : m ≤ m0 then
if h : SigmaFinite (μ.trim hm) ∧ Integrable f μ then
if StronglyMeasurable[m] f then f
else (@aestronglyMeasurable'_condexpL1 _ _ _ _ _ m m0 μ hm h.1 _).mk
(@condexpL1 _ _ _ _ _ _ _ hm μ h.1 f)
else 0
else 0
#align measure_theory.condexp MeasureTheory.condexp
-- We define notation `μ[f|m]` for the conditional expectation of `f` with respect to `m`.
scoped notation μ "[" f "|" m "]" => MeasureTheory.condexp m μ f
theorem condexp_of_not_le (hm_not : ¬m ≤ m0) : μ[f|m] = 0 := by rw [condexp, dif_neg hm_not]
#align measure_theory.condexp_of_not_le MeasureTheory.condexp_of_not_le
theorem condexp_of_not_sigmaFinite (hm : m ≤ m0) (hμm_not : ¬SigmaFinite (μ.trim hm)) :
μ[f|m] = 0 := by rw [condexp, dif_pos hm, dif_neg]; push_neg; exact fun h => absurd h hμm_not
#align measure_theory.condexp_of_not_sigma_finite MeasureTheory.condexp_of_not_sigmaFinite
theorem condexp_of_sigmaFinite (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] :
μ[f|m] =
if Integrable f μ then
if StronglyMeasurable[m] f then f
else aestronglyMeasurable'_condexpL1.mk (condexpL1 hm μ f)
else 0 := by
rw [condexp, dif_pos hm]
simp only [hμm, Ne, true_and_iff]
by_cases hf : Integrable f μ
· rw [dif_pos hf, if_pos hf]
· rw [dif_neg hf, if_neg hf]
#align measure_theory.condexp_of_sigma_finite MeasureTheory.condexp_of_sigmaFinite
theorem condexp_of_stronglyMeasurable (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] {f : α → F'}
(hf : StronglyMeasurable[m] f) (hfi : Integrable f μ) : μ[f|m] = f := by
rw [condexp_of_sigmaFinite hm, if_pos hfi, if_pos hf]
#align measure_theory.condexp_of_strongly_measurable MeasureTheory.condexp_of_stronglyMeasurable
theorem condexp_const (hm : m ≤ m0) (c : F') [IsFiniteMeasure μ] :
μ[fun _ : α => c|m] = fun _ => c :=
condexp_of_stronglyMeasurable hm (@stronglyMeasurable_const _ _ m _ _) (integrable_const c)
#align measure_theory.condexp_const MeasureTheory.condexp_const
theorem condexp_ae_eq_condexpL1 (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] (f : α → F') :
μ[f|m] =ᵐ[μ] condexpL1 hm μ f := by
rw [condexp_of_sigmaFinite hm]
by_cases hfi : Integrable f μ
· rw [if_pos hfi]
by_cases hfm : StronglyMeasurable[m] f
· rw [if_pos hfm]
exact (condexpL1_of_aestronglyMeasurable' (StronglyMeasurable.aeStronglyMeasurable' hfm)
hfi).symm
· rw [if_neg hfm]
exact (AEStronglyMeasurable'.ae_eq_mk aestronglyMeasurable'_condexpL1).symm
rw [if_neg hfi, condexpL1_undef hfi]
exact (coeFn_zero _ _ _).symm
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1 MeasureTheory.condexp_ae_eq_condexpL1
theorem condexp_ae_eq_condexpL1CLM (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hf : Integrable f μ) :
μ[f|m] =ᵐ[μ] condexpL1CLM F' hm μ (hf.toL1 f) := by
refine (condexp_ae_eq_condexpL1 hm f).trans (eventually_of_forall fun x => ?_)
rw [condexpL1_eq hf]
set_option linter.uppercaseLean3 false in
#align measure_theory.condexp_ae_eq_condexp_L1_clm MeasureTheory.condexp_ae_eq_condexpL1CLM
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 159 | 165 | theorem condexp_undef (hf : ¬Integrable f μ) : μ[f|m] = 0 := by |
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm]
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hμm]
haveI : SigmaFinite (μ.trim hm) := hμm
rw [condexp_of_sigmaFinite, if_neg hf]
| 0 |
import Mathlib.Analysis.Quaternion
import Mathlib.Analysis.NormedSpace.Exponential
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Series
#align_import analysis.normed_space.quaternion_exponential from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open scoped Quaternion Nat
open NormedSpace
namespace Quaternion
@[simp, norm_cast]
theorem exp_coe (r : ℝ) : exp ℝ (r : ℍ[ℝ]) = ↑(exp ℝ r) :=
(map_exp ℝ (algebraMap ℝ ℍ[ℝ]) (continuous_algebraMap _ _) _).symm
#align quaternion.exp_coe Quaternion.exp_coe
theorem expSeries_even_of_imaginary {q : Quaternion ℝ} (hq : q.re = 0) (n : ℕ) :
expSeries ℝ (Quaternion ℝ) (2 * n) (fun _ => q) =
↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n) / (2 * n)!) := by
rw [expSeries_apply_eq]
have hq2 : q ^ 2 = -normSq q := sq_eq_neg_normSq.mpr hq
letI k : ℝ := ↑(2 * n)!
calc
k⁻¹ • q ^ (2 * n) = k⁻¹ • (-normSq q) ^ n := by rw [pow_mul, hq2]
_ = k⁻¹ • ↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n)) := ?_
_ = ↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n) / k) := ?_
· congr 1
rw [neg_pow, normSq_eq_norm_mul_self, pow_mul, sq]
push_cast
rfl
· rw [← coe_mul_eq_smul, div_eq_mul_inv]
norm_cast
ring_nf
theorem expSeries_odd_of_imaginary {q : Quaternion ℝ} (hq : q.re = 0) (n : ℕ) :
expSeries ℝ (Quaternion ℝ) (2 * n + 1) (fun _ => q) =
(((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n + 1) / (2 * n + 1)!) / ‖q‖) • q := by
rw [expSeries_apply_eq]
obtain rfl | hq0 := eq_or_ne q 0
· simp
have hq2 : q ^ 2 = -normSq q := sq_eq_neg_normSq.mpr hq
have hqn := norm_ne_zero_iff.mpr hq0
let k : ℝ := ↑(2 * n + 1)!
calc
k⁻¹ • q ^ (2 * n + 1) = k⁻¹ • ((-normSq q) ^ n * q) := by rw [pow_succ, pow_mul, hq2]
_ = k⁻¹ • ((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n)) • q := ?_
_ = ((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n + 1) / k / ‖q‖) • q := ?_
· congr 1
rw [neg_pow, normSq_eq_norm_mul_self, pow_mul, sq, ← coe_mul_eq_smul]
norm_cast
· rw [smul_smul]
congr 1
simp_rw [pow_succ, mul_div_assoc, div_div_cancel_left' hqn]
ring
theorem hasSum_expSeries_of_imaginary {q : Quaternion ℝ} (hq : q.re = 0) {c s : ℝ}
(hc : HasSum (fun n => (-1 : ℝ) ^ n * ‖q‖ ^ (2 * n) / (2 * n)!) c)
(hs : HasSum (fun n => (-1 : ℝ) ^ n * ‖q‖ ^ (2 * n + 1) / (2 * n + 1)!) s) :
HasSum (fun n => expSeries ℝ (Quaternion ℝ) n fun _ => q) (↑c + (s / ‖q‖) • q) := by
replace hc := hasSum_coe.mpr hc
replace hs := (hs.div_const ‖q‖).smul_const q
refine HasSum.even_add_odd ?_ ?_
· convert hc using 1
ext n : 1
rw [expSeries_even_of_imaginary hq]
· convert hs using 1
ext n : 1
rw [expSeries_odd_of_imaginary hq]
#align quaternion.has_sum_exp_series_of_imaginary Quaternion.hasSum_expSeries_of_imaginary
| Mathlib/Analysis/NormedSpace/QuaternionExponential.lean | 98 | 103 | theorem exp_of_re_eq_zero (q : Quaternion ℝ) (hq : q.re = 0) :
exp ℝ q = ↑(Real.cos ‖q‖) + (Real.sin ‖q‖ / ‖q‖) • q := by |
rw [exp_eq_tsum]
refine HasSum.tsum_eq ?_
simp_rw [← expSeries_apply_eq]
exact hasSum_expSeries_of_imaginary hq (Real.hasSum_cos _) (Real.hasSum_sin _)
| 0 |
import Mathlib.Analysis.Analytic.Constructions
import Mathlib.Analysis.Calculus.Dslope
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Analysis.Analytic.Uniqueness
#align_import analysis.analytic.isolated_zeros from "leanprover-community/mathlib"@"a3209ddf94136d36e5e5c624b10b2a347cc9d090"
open scoped Classical
open Filter Function Nat FormalMultilinearSeries EMetric Set
open scoped Topology
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {s : E} {p q : FormalMultilinearSeries 𝕜 𝕜 E} {f g : 𝕜 → E} {n : ℕ} {z z₀ : 𝕜}
namespace HasFPowerSeriesAt
| Mathlib/Analysis/Analytic/IsolatedZeros.lean | 69 | 80 | theorem has_fpower_series_dslope_fslope (hp : HasFPowerSeriesAt f p z₀) :
HasFPowerSeriesAt (dslope f z₀) p.fslope z₀ := by |
have hpd : deriv f z₀ = p.coeff 1 := hp.deriv
have hp0 : p.coeff 0 = f z₀ := hp.coeff_zero 1
simp only [hasFPowerSeriesAt_iff, apply_eq_pow_smul_coeff, coeff_fslope] at hp ⊢
refine hp.mono fun x hx => ?_
by_cases h : x = 0
· convert hasSum_single (α := E) 0 _ <;> intros <;> simp [*]
· have hxx : ∀ n : ℕ, x⁻¹ * x ^ (n + 1) = x ^ n := fun n => by field_simp [h, _root_.pow_succ]
suffices HasSum (fun n => x⁻¹ • x ^ (n + 1) • p.coeff (n + 1)) (x⁻¹ • (f (z₀ + x) - f z₀)) by
simpa [dslope, slope, h, smul_smul, hxx] using this
simpa [hp0] using ((hasSum_nat_add_iff' 1).mpr hx).const_smul x⁻¹
| 0 |
import Mathlib.Data.Stream.Init
import Mathlib.Tactic.Common
#align_import data.seq.computation from "leanprover-community/mathlib"@"1f0096e6caa61e9c849ec2adbd227e960e9dff58"
open Function
universe u v w
def Computation (α : Type u) : Type u :=
{ f : Stream' (Option α) // ∀ ⦃n a⦄, f n = some a → f (n + 1) = some a }
#align computation Computation
namespace Computation
variable {α : Type u} {β : Type v} {γ : Type w}
-- constructors
-- Porting note: `return` is reserved, so changed to `pure`
def pure (a : α) : Computation α :=
⟨Stream'.const (some a), fun _ _ => id⟩
#align computation.return Computation.pure
instance : CoeTC α (Computation α) :=
⟨pure⟩
-- note [use has_coe_t]
def think (c : Computation α) : Computation α :=
⟨Stream'.cons none c.1, fun n a h => by
cases' n with n
· contradiction
· exact c.2 h⟩
#align computation.think Computation.think
def thinkN (c : Computation α) : ℕ → Computation α
| 0 => c
| n + 1 => think (thinkN c n)
set_option linter.uppercaseLean3 false in
#align computation.thinkN Computation.thinkN
-- check for immediate result
def head (c : Computation α) : Option α :=
c.1.head
#align computation.head Computation.head
-- one step of computation
def tail (c : Computation α) : Computation α :=
⟨c.1.tail, fun _ _ h => c.2 h⟩
#align computation.tail Computation.tail
def empty (α) : Computation α :=
⟨Stream'.const none, fun _ _ => id⟩
#align computation.empty Computation.empty
instance : Inhabited (Computation α) :=
⟨empty _⟩
def runFor : Computation α → ℕ → Option α :=
Subtype.val
#align computation.run_for Computation.runFor
def destruct (c : Computation α) : Sum α (Computation α) :=
match c.1 0 with
| none => Sum.inr (tail c)
| some a => Sum.inl a
#align computation.destruct Computation.destruct
unsafe def run : Computation α → α
| c =>
match destruct c with
| Sum.inl a => a
| Sum.inr ca => run ca
#align computation.run Computation.run
| Mathlib/Data/Seq/Computation.lean | 114 | 123 | theorem destruct_eq_pure {s : Computation α} {a : α} : destruct s = Sum.inl a → s = pure a := by |
dsimp [destruct]
induction' f0 : s.1 0 with _ <;> intro h
· contradiction
· apply Subtype.eq
funext n
induction' n with n IH
· injection h with h'
rwa [h'] at f0
· exact s.2 IH
| 0 |
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.MvPolynomial.Basic
import Mathlib.Analysis.Analytic.Constructions
import Mathlib.Topology.Algebra.Module.FiniteDimension
variable {𝕜 E A B : Type*} [NontriviallyNormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E]
[CommSemiring A] {z : E} {s : Set E}
section Polynomial
open Polynomial
variable [NormedRing B] [NormedAlgebra 𝕜 B] [Algebra A B] {f : E → B}
| Mathlib/Analysis/Analytic/Polynomial.lean | 26 | 32 | theorem AnalyticAt.aeval_polynomial (hf : AnalyticAt 𝕜 f z) (p : A[X]) :
AnalyticAt 𝕜 (fun x ↦ aeval (f x) p) z := by |
refine p.induction_on (fun k ↦ ?_) (fun p q hp hq ↦ ?_) fun p i hp ↦ ?_
· simp_rw [aeval_C]; apply analyticAt_const
· simp_rw [aeval_add]; exact hp.add hq
· convert hp.mul hf
simp_rw [pow_succ, aeval_mul, ← mul_assoc, aeval_X]
| 0 |
import Mathlib.CategoryTheory.Filtered.Connected
import Mathlib.CategoryTheory.Limits.TypesFiltered
import Mathlib.CategoryTheory.Limits.Final
universe v₁ v₂ u₁ u₂
namespace CategoryTheory
open CategoryTheory.Limits CategoryTheory.Functor Opposite
section ArbitraryUniverses
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D] (F : C ⥤ D)
theorem Functor.final_of_isFiltered_structuredArrow [∀ d, IsFiltered (StructuredArrow d F)] :
Final F where
out _ := IsFiltered.isConnected _
theorem Functor.initial_of_isCofiltered_costructuredArrow
[∀ d, IsCofiltered (CostructuredArrow F d)] : Initial F where
out _ := IsCofiltered.isConnected _
| Mathlib/CategoryTheory/Filtered/Final.lean | 56 | 72 | theorem isFiltered_structuredArrow_of_isFiltered_of_exists [IsFilteredOrEmpty C]
(h₁ : ∀ d, ∃ c, Nonempty (d ⟶ F.obj c)) (h₂ : ∀ {d : D} {c : C} (s s' : d ⟶ F.obj c),
∃ (c' : C) (t : c ⟶ c'), s ≫ F.map t = s' ≫ F.map t) (d : D) :
IsFiltered (StructuredArrow d F) := by |
have : Nonempty (StructuredArrow d F) := by
obtain ⟨c, ⟨f⟩⟩ := h₁ d
exact ⟨.mk f⟩
suffices IsFilteredOrEmpty (StructuredArrow d F) from IsFiltered.mk
refine ⟨fun f g => ?_, fun f g η μ => ?_⟩
· obtain ⟨c, ⟨t, ht⟩⟩ := h₂ (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right))
(g.hom ≫ F.map (IsFiltered.rightToMax f.right g.right))
refine ⟨.mk (f.hom ≫ F.map (IsFiltered.leftToMax f.right g.right ≫ t)), ?_, ?_, trivial⟩
· exact StructuredArrow.homMk (IsFiltered.leftToMax _ _ ≫ t) rfl
· exact StructuredArrow.homMk (IsFiltered.rightToMax _ _ ≫ t) (by simpa using ht.symm)
· refine ⟨.mk (f.hom ≫ F.map (η.right ≫ IsFiltered.coeqHom η.right μ.right)),
StructuredArrow.homMk (IsFiltered.coeqHom η.right μ.right) (by simp), ?_⟩
simpa using IsFiltered.coeq_condition _ _
| 0 |
import Mathlib.Data.Finsupp.Defs
#align_import data.list.to_finsupp from "leanprover-community/mathlib"@"06a655b5fcfbda03502f9158bbf6c0f1400886f9"
namespace List
variable {M : Type*} [Zero M] (l : List M) [DecidablePred (getD l · 0 ≠ 0)] (n : ℕ)
def toFinsupp : ℕ →₀ M where
toFun i := getD l i 0
support := (Finset.range l.length).filter fun i => getD l i 0 ≠ 0
mem_support_toFun n := by
simp only [Ne, Finset.mem_filter, Finset.mem_range, and_iff_right_iff_imp]
contrapose!
exact getD_eq_default _ _
#align list.to_finsupp List.toFinsupp
@[norm_cast]
theorem coe_toFinsupp : (l.toFinsupp : ℕ → M) = (l.getD · 0) :=
rfl
#align list.coe_to_finsupp List.coe_toFinsupp
@[simp, norm_cast]
theorem toFinsupp_apply (i : ℕ) : (l.toFinsupp : ℕ → M) i = l.getD i 0 :=
rfl
#align list.to_finsupp_apply List.toFinsupp_apply
theorem toFinsupp_support :
l.toFinsupp.support = (Finset.range l.length).filter (getD l · 0 ≠ 0) :=
rfl
#align list.to_finsupp_support List.toFinsupp_support
theorem toFinsupp_apply_lt (hn : n < l.length) : l.toFinsupp n = l.get ⟨n, hn⟩ :=
getD_eq_get _ _ _
theorem toFinsupp_apply_fin (n : Fin l.length) : l.toFinsupp n = l.get n :=
getD_eq_get _ _ _
set_option linter.deprecated false in
@[deprecated (since := "2023-04-10")]
theorem toFinsupp_apply_lt' (hn : n < l.length) : l.toFinsupp n = l.nthLe n hn :=
getD_eq_get _ _ _
#align list.to_finsupp_apply_lt List.toFinsupp_apply_lt'
theorem toFinsupp_apply_le (hn : l.length ≤ n) : l.toFinsupp n = 0 :=
getD_eq_default _ _ hn
#align list.to_finsupp_apply_le List.toFinsupp_apply_le
@[simp]
theorem toFinsupp_nil [DecidablePred fun i => getD ([] : List M) i 0 ≠ 0] :
toFinsupp ([] : List M) = 0 := by
ext
simp
#align list.to_finsupp_nil List.toFinsupp_nil
theorem toFinsupp_singleton (x : M) [DecidablePred (getD [x] · 0 ≠ 0)] :
toFinsupp [x] = Finsupp.single 0 x := by
ext ⟨_ | i⟩ <;> simp [Finsupp.single_apply, (Nat.zero_lt_succ _).ne]
#align list.to_finsupp_singleton List.toFinsupp_singleton
@[simp]
theorem toFinsupp_cons_apply_zero (x : M) (xs : List M)
[DecidablePred (getD (x::xs) · 0 ≠ 0)] : (x::xs).toFinsupp 0 = x :=
rfl
#align list.to_finsupp_cons_apply_zero List.toFinsupp_cons_apply_zero
@[simp]
theorem toFinsupp_cons_apply_succ (x : M) (xs : List M) (n : ℕ)
[DecidablePred (getD (x::xs) · 0 ≠ 0)] [DecidablePred (getD xs · 0 ≠ 0)] :
(x::xs).toFinsupp n.succ = xs.toFinsupp n :=
rfl
#align list.to_finsupp_cons_apply_succ List.toFinsupp_cons_apply_succ
-- Porting note (#10756): new theorem
theorem toFinsupp_append {R : Type*} [AddZeroClass R] (l₁ l₂ : List R)
[DecidablePred (getD (l₁ ++ l₂) · 0 ≠ 0)] [DecidablePred (getD l₁ · 0 ≠ 0)]
[DecidablePred (getD l₂ · 0 ≠ 0)] :
toFinsupp (l₁ ++ l₂) =
toFinsupp l₁ + (toFinsupp l₂).embDomain (addLeftEmbedding l₁.length) := by
ext n
simp only [toFinsupp_apply, Finsupp.add_apply]
cases lt_or_le n l₁.length with
| inl h =>
rw [getD_append _ _ _ _ h, Finsupp.embDomain_notin_range, add_zero]
rintro ⟨k, rfl : length l₁ + k = n⟩
omega
| inr h =>
rcases Nat.exists_eq_add_of_le h with ⟨k, rfl⟩
rw [getD_append_right _ _ _ _ h, Nat.add_sub_cancel_left, getD_eq_default _ _ h, zero_add]
exact Eq.symm (Finsupp.embDomain_apply _ _ _)
theorem toFinsupp_cons_eq_single_add_embDomain {R : Type*} [AddZeroClass R] (x : R) (xs : List R)
[DecidablePred (getD (x::xs) · 0 ≠ 0)] [DecidablePred (getD xs · 0 ≠ 0)] :
toFinsupp (x::xs) =
Finsupp.single 0 x + (toFinsupp xs).embDomain ⟨Nat.succ, Nat.succ_injective⟩ := by
classical
convert toFinsupp_append [x] xs using 3
· exact (toFinsupp_singleton x).symm
· ext n
exact add_comm n 1
#align list.to_finsupp_cons_eq_single_add_emb_domain List.toFinsupp_cons_eq_single_add_embDomain
theorem toFinsupp_concat_eq_toFinsupp_add_single {R : Type*} [AddZeroClass R] (x : R) (xs : List R)
[DecidablePred fun i => getD (xs ++ [x]) i 0 ≠ 0] [DecidablePred fun i => getD xs i 0 ≠ 0] :
toFinsupp (xs ++ [x]) = toFinsupp xs + Finsupp.single xs.length x := by
classical rw [toFinsupp_append, toFinsupp_singleton, Finsupp.embDomain_single,
addLeftEmbedding_apply, add_zero]
#align list.to_finsupp_concat_eq_to_finsupp_add_single List.toFinsupp_concat_eq_toFinsupp_add_single
| Mathlib/Data/List/ToFinsupp.lean | 147 | 156 | theorem toFinsupp_eq_sum_map_enum_single {R : Type*} [AddMonoid R] (l : List R)
[DecidablePred (getD l · 0 ≠ 0)] :
toFinsupp l = (l.enum.map fun nr : ℕ × R => Finsupp.single nr.1 nr.2).sum := by |
/- Porting note (#11215): TODO: `induction` fails to substitute `l = []` in
`[DecidablePred (getD l · 0 ≠ 0)]`, so we manually do some `revert`/`intro` as a workaround -/
revert l; intro l
induction l using List.reverseRecOn with
| nil => exact toFinsupp_nil
| append_singleton x xs ih =>
classical simp [toFinsupp_concat_eq_toFinsupp_add_single, enum_append, ih]
| 0 |
import Mathlib.Algebra.Algebra.Spectrum
import Mathlib.LinearAlgebra.GeneralLinearGroup
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.RingTheory.Nilpotent.Basic
#align_import linear_algebra.eigenspace.basic from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1"
universe u v w
namespace Module
namespace End
open FiniteDimensional Set
variable {K R : Type v} {V M : Type w} [CommRing R] [AddCommGroup M] [Module R M] [Field K]
[AddCommGroup V] [Module K V]
def eigenspace (f : End R M) (μ : R) : Submodule R M :=
LinearMap.ker (f - algebraMap R (End R M) μ)
#align module.End.eigenspace Module.End.eigenspace
@[simp]
theorem eigenspace_zero (f : End R M) : f.eigenspace 0 = LinearMap.ker f := by simp [eigenspace]
#align module.End.eigenspace_zero Module.End.eigenspace_zero
def HasEigenvector (f : End R M) (μ : R) (x : M) : Prop :=
x ∈ eigenspace f μ ∧ x ≠ 0
#align module.End.has_eigenvector Module.End.HasEigenvector
def HasEigenvalue (f : End R M) (a : R) : Prop :=
eigenspace f a ≠ ⊥
#align module.End.has_eigenvalue Module.End.HasEigenvalue
def Eigenvalues (f : End R M) : Type _ :=
{ μ : R // f.HasEigenvalue μ }
#align module.End.eigenvalues Module.End.Eigenvalues
@[coe]
def Eigenvalues.val (f : Module.End R M) : Eigenvalues f → R := Subtype.val
instance Eigenvalues.instCoeOut {f : Module.End R M} : CoeOut (Eigenvalues f) R where
coe := Eigenvalues.val f
instance Eigenvalues.instDecidableEq [DecidableEq R] (f : Module.End R M) :
DecidableEq (Eigenvalues f) :=
inferInstanceAs (DecidableEq (Subtype (fun x : R => HasEigenvalue f x)))
theorem hasEigenvalue_of_hasEigenvector {f : End R M} {μ : R} {x : M} (h : HasEigenvector f μ x) :
HasEigenvalue f μ := by
rw [HasEigenvalue, Submodule.ne_bot_iff]
use x; exact h
#align module.End.has_eigenvalue_of_has_eigenvector Module.End.hasEigenvalue_of_hasEigenvector
theorem mem_eigenspace_iff {f : End R M} {μ : R} {x : M} : x ∈ eigenspace f μ ↔ f x = μ • x := by
rw [eigenspace, LinearMap.mem_ker, LinearMap.sub_apply, algebraMap_end_apply, sub_eq_zero]
#align module.End.mem_eigenspace_iff Module.End.mem_eigenspace_iff
theorem HasEigenvector.apply_eq_smul {f : End R M} {μ : R} {x : M} (hx : f.HasEigenvector μ x) :
f x = μ • x :=
mem_eigenspace_iff.mp hx.1
#align module.End.has_eigenvector.apply_eq_smul Module.End.HasEigenvector.apply_eq_smul
| Mathlib/LinearAlgebra/Eigenspace/Basic.lean | 113 | 115 | theorem HasEigenvector.pow_apply {f : End R M} {μ : R} {v : M} (hv : f.HasEigenvector μ v) (n : ℕ) :
(f ^ n) v = μ ^ n • v := by |
induction n <;> simp [*, pow_succ f, hv.apply_eq_smul, smul_smul, pow_succ' μ]
| 0 |
import Mathlib.Algebra.Group.Defs
import Mathlib.Algebra.Group.Prod
import Mathlib.Data.PNat.Basic
import Mathlib.GroupTheory.GroupAction.Prod
variable {M : Type*}
class PNatPowAssoc (M : Type*) [Mul M] [Pow M ℕ+] : Prop where
protected ppow_add : ∀ (k n : ℕ+) (x : M), x ^ (k + n) = x ^ k * x ^ n
protected ppow_one : ∀ (x : M), x ^ (1 : ℕ+) = x
section Mul
variable [Mul M] [Pow M ℕ+] [PNatPowAssoc M]
theorem ppow_add (k n : ℕ+) (x : M) : x ^ (k + n) = x ^ k * x ^ n :=
PNatPowAssoc.ppow_add k n x
@[simp]
theorem ppow_one (x : M) : x ^ (1 : ℕ+) = x :=
PNatPowAssoc.ppow_one x
theorem ppow_mul_assoc (k m n : ℕ+) (x : M) :
(x ^ k * x ^ m) * x ^ n = x ^ k * (x ^ m * x ^ n) := by
simp only [← ppow_add, add_assoc]
theorem ppow_mul_comm (m n : ℕ+) (x : M) :
x ^ m * x ^ n = x ^ n * x ^ m := by simp only [← ppow_add, add_comm]
| Mathlib/Algebra/Group/PNatPowAssoc.lean | 67 | 70 | theorem ppow_mul (x : M) (m n : ℕ+) : x ^ (m * n) = (x ^ m) ^ n := by |
refine PNat.recOn n ?_ fun k hk ↦ ?_
· rw [ppow_one, mul_one]
· rw [ppow_add, ppow_one, mul_add, ppow_add, mul_one, hk]
| 0 |
import Mathlib.Geometry.Manifold.MFDeriv.UniqueDifferential
import Mathlib.Geometry.Manifold.ContMDiffMap
#align_import geometry.manifold.cont_mdiff_mfderiv from "leanprover-community/mathlib"@"e473c3198bb41f68560cab68a0529c854b618833"
open Set Function Filter ChartedSpace SmoothManifoldWithCorners Bundle
open scoped Topology Manifold Bundle
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]
[Is : 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']
[I's : SmoothManifoldWithCorners I' M']
-- declare a smooth manifold `N` over the pair `(F, G)`.
{F : Type*}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type*} [TopologicalSpace G]
{J : ModelWithCorners 𝕜 F G} {N : Type*} [TopologicalSpace N] [ChartedSpace G N]
[Js : SmoothManifoldWithCorners J N]
-- declare a smooth manifold `N'` over the pair `(F', G')`.
{F' : Type*}
[NormedAddCommGroup F'] [NormedSpace 𝕜 F'] {G' : Type*} [TopologicalSpace G']
{J' : ModelWithCorners 𝕜 F' G'} {N' : Type*} [TopologicalSpace N'] [ChartedSpace G' N']
[J's : SmoothManifoldWithCorners J' N']
-- declare some additional normed spaces, used for fibers of vector bundles
{F₁ : Type*}
[NormedAddCommGroup F₁] [NormedSpace 𝕜 F₁] {F₂ : Type*} [NormedAddCommGroup F₂]
[NormedSpace 𝕜 F₂]
-- declare functions, sets, points and smoothness indices
{f f₁ : M → M'}
{s s₁ t : Set M} {x : M} {m n : ℕ∞}
-- Porting note: section about deducing differentiability from smoothness moved to
-- `Geometry.Manifold.MFDeriv.Basic`
section tangentMap
| Mathlib/Geometry/Manifold/ContMDiffMFDeriv.lean | 227 | 280 | theorem ContMDiffOn.continuousOn_tangentMapWithin_aux {f : H → H'} {s : Set H}
(hf : ContMDiffOn I I' n f s) (hn : 1 ≤ n) (hs : UniqueMDiffOn I s) :
ContinuousOn (tangentMapWithin I I' f s) (π E (TangentSpace I) ⁻¹' s) := by |
suffices h :
ContinuousOn
(fun p : H × E =>
(f p.fst,
(fderivWithin 𝕜 (writtenInExtChartAt I I' p.fst f) (I.symm ⁻¹' s ∩ range I)
((extChartAt I p.fst) p.fst) : E →L[𝕜] E') p.snd)) (Prod.fst ⁻¹' s) by
have A := (tangentBundleModelSpaceHomeomorph H I).continuous
rw [continuous_iff_continuousOn_univ] at A
have B :=
((tangentBundleModelSpaceHomeomorph H' I').symm.continuous.comp_continuousOn h).comp' A
have :
univ ∩ tangentBundleModelSpaceHomeomorph H I ⁻¹' (Prod.fst ⁻¹' s) =
π E (TangentSpace I) ⁻¹' s := by
ext ⟨x, v⟩; simp only [mfld_simps]
rw [this] at B
apply B.congr
rintro ⟨x, v⟩ hx
dsimp [tangentMapWithin]
ext; · rfl
simp only [mfld_simps]
apply congr_fun
apply congr_arg
rw [MDifferentiableWithinAt.mfderivWithin (hf.mdifferentiableOn hn x hx)]
rfl
suffices h :
ContinuousOn
(fun p : H × E =>
(fderivWithin 𝕜 (I' ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ range I) (I p.fst) : E →L[𝕜] E') p.snd)
(Prod.fst ⁻¹' s) by
dsimp [writtenInExtChartAt, extChartAt]
exact (ContinuousOn.comp hf.continuousOn continuous_fst.continuousOn Subset.rfl).prod h
suffices h : ContinuousOn (fderivWithin 𝕜 (I' ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ range I)) (I '' s) by
have C := ContinuousOn.comp h I.continuous_toFun.continuousOn Subset.rfl
have A : Continuous fun q : (E →L[𝕜] E') × E => q.1 q.2 :=
isBoundedBilinearMap_apply.continuous
have B :
ContinuousOn
(fun p : H × E => (fderivWithin 𝕜 (I' ∘ f ∘ I.symm) (I.symm ⁻¹' s ∩ range I) (I p.1), p.2))
(Prod.fst ⁻¹' s) := by
apply ContinuousOn.prod _ continuous_snd.continuousOn
refine C.comp continuousOn_fst ?_
exact preimage_mono (subset_preimage_image _ _)
exact A.comp_continuousOn B
rw [contMDiffOn_iff] at hf
let x : H := I.symm (0 : E)
let y : H' := I'.symm (0 : E')
have A := hf.2 x y
simp only [I.image_eq, inter_comm, mfld_simps] at A ⊢
apply A.continuousOn_fderivWithin _ hn
convert hs.uniqueDiffOn_target_inter x using 1
simp only [inter_comm, mfld_simps]
| 0 |
import Mathlib.RingTheory.Flat.Basic
import Mathlib.RingTheory.IsTensorProduct
import Mathlib.LinearAlgebra.TensorProduct.Tower
universe u v w t
open Function (Injective Surjective)
open LinearMap (lsmul rTensor lTensor)
open TensorProduct
namespace Module.Flat
section Composition
variable (R : Type u) (S : Type v) (M : Type w)
[CommRing R] [CommRing S] [Algebra R S]
[AddCommGroup M] [Module R M] [Module S M] [IsScalarTower R S M]
private noncomputable abbrev auxRightMul (I : Ideal R) : M ⊗[R] I →ₗ[S] M := by
letI i : M ⊗[R] I →ₗ[S] M ⊗[R] R := AlgebraTensorModule.map LinearMap.id I.subtype
letI e' : M ⊗[R] R →ₗ[S] M := AlgebraTensorModule.rid R S M
exact AlgebraTensorModule.rid R S M ∘ₗ i
private noncomputable abbrev J (I : Ideal R) : Ideal S := LinearMap.range (auxRightMul R S S I)
private noncomputable abbrev auxIso [Module.Flat R S] {I : Ideal R} :
S ⊗[R] I ≃ₗ[S] J R S I := by
apply LinearEquiv.ofInjective (auxRightMul R S S I)
simp only [LinearMap.coe_comp, LinearEquiv.coe_coe, EquivLike.comp_injective]
exact (Module.Flat.iff_lTensor_injective' R S).mp inferInstance I
private noncomputable abbrev auxLTensor [Module.Flat R S] (I : Ideal R) :
M ⊗[R] I →ₗ[S] M := by
letI e1 : M ⊗[R] I ≃ₗ[S] M ⊗[S] (S ⊗[R] I) :=
(AlgebraTensorModule.cancelBaseChange R S S M I).symm
letI e2 : M ⊗[S] (S ⊗[R] I) ≃ₗ[S] M ⊗[S] (J R S I) :=
TensorProduct.congr (LinearEquiv.refl S M) (auxIso R S)
letI e3 : M ⊗[S] (J R S I) →ₗ[S] M ⊗[S] S := lTensor M (J R S I).subtype
letI e4 : M ⊗[S] S →ₗ[S] M := TensorProduct.rid S M
exact e4 ∘ₗ e3 ∘ₗ (e1 ≪≫ₗ e2)
private lemma auxLTensor_eq [Module.Flat R S] {I : Ideal R} :
(auxLTensor R S M I : M ⊗[R] I →ₗ[R] M) =
TensorProduct.rid R M ∘ₗ lTensor M (I.subtype) := by
apply TensorProduct.ext'
intro m x
erw [TensorProduct.rid_tmul]
simp
| Mathlib/RingTheory/Flat/Stability.lean | 86 | 94 | theorem comp [Module.Flat R S] [Module.Flat S M] : Module.Flat R M := by |
rw [Module.Flat.iff_lTensor_injective']
intro I
rw [← EquivLike.comp_injective _ (TensorProduct.rid R M)]
haveI h : TensorProduct.rid R M ∘ lTensor M (Submodule.subtype I) =
TensorProduct.rid R M ∘ₗ lTensor M I.subtype := rfl
simp only [h, ← auxLTensor_eq R S M, LinearMap.coe_restrictScalars, LinearMap.coe_comp,
LinearEquiv.coe_coe, EquivLike.comp_injective, EquivLike.injective_comp]
exact (Module.Flat.iff_lTensor_injective' S M).mp inferInstance _
| 0 |
import Mathlib.CategoryTheory.Monoidal.Free.Basic
import Mathlib.CategoryTheory.Groupoid
import Mathlib.CategoryTheory.DiscreteCategory
#align_import category_theory.monoidal.free.coherence from "leanprover-community/mathlib"@"f187f1074fa1857c94589cc653c786cadc4c35ff"
universe u
namespace CategoryTheory
open MonoidalCategory
namespace FreeMonoidalCategory
variable {C : Type u}
section
variable (C)
-- porting note (#5171): removed @[nolint has_nonempty_instance]
inductive NormalMonoidalObject : Type u
| unit : NormalMonoidalObject
| tensor : NormalMonoidalObject → C → NormalMonoidalObject
#align category_theory.free_monoidal_category.normal_monoidal_object CategoryTheory.FreeMonoidalCategory.NormalMonoidalObject
end
local notation "F" => FreeMonoidalCategory
local notation "N" => Discrete ∘ NormalMonoidalObject
local infixr:10 " ⟶ᵐ " => Hom
-- Porting note: this was automatic in mathlib 3
instance (x y : N C) : Subsingleton (x ⟶ y) := Discrete.instSubsingletonDiscreteHom _ _
@[simp]
def inclusionObj : NormalMonoidalObject C → F C
| NormalMonoidalObject.unit => unit
| NormalMonoidalObject.tensor n a => tensor (inclusionObj n) (of a)
#align category_theory.free_monoidal_category.inclusion_obj CategoryTheory.FreeMonoidalCategory.inclusionObj
def inclusion : N C ⥤ F C :=
Discrete.functor inclusionObj
#align category_theory.free_monoidal_category.inclusion CategoryTheory.FreeMonoidalCategory.inclusion
@[simp]
theorem inclusion_obj (X : N C) :
inclusion.obj X = inclusionObj X.as :=
rfl
@[simp]
theorem inclusion_map {X Y : N C} (f : X ⟶ Y) :
inclusion.map f = eqToHom (congr_arg _ (Discrete.ext _ _ (Discrete.eq_of_hom f))) := by
rcases f with ⟨⟨⟩⟩
cases Discrete.ext _ _ (by assumption)
apply inclusion.map_id
def normalizeObj : F C → NormalMonoidalObject C → NormalMonoidalObject C
| unit, n => n
| of X, n => NormalMonoidalObject.tensor n X
| tensor X Y, n => normalizeObj Y (normalizeObj X n)
#align category_theory.free_monoidal_category.normalize_obj CategoryTheory.FreeMonoidalCategory.normalizeObj
@[simp]
theorem normalizeObj_unitor (n : NormalMonoidalObject C) : normalizeObj (𝟙_ (F C)) n = n :=
rfl
#align category_theory.free_monoidal_category.normalize_obj_unitor CategoryTheory.FreeMonoidalCategory.normalizeObj_unitor
@[simp]
theorem normalizeObj_tensor (X Y : F C) (n : NormalMonoidalObject C) :
normalizeObj (X ⊗ Y) n = normalizeObj Y (normalizeObj X n) :=
rfl
#align category_theory.free_monoidal_category.normalize_obj_tensor CategoryTheory.FreeMonoidalCategory.normalizeObj_tensor
def normalizeObj' (X : F C) : N C ⥤ N C := Discrete.functor fun n ↦ ⟨normalizeObj X n⟩
section
open Hom
@[simp]
def normalizeMapAux : ∀ {X Y : F C}, (X ⟶ᵐ Y) → (normalizeObj' X ⟶ normalizeObj' Y)
| _, _, Hom.id _ => 𝟙 _
| _, _, α_hom X Y Z => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, α_inv _ _ _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, l_hom _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, l_inv _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, ρ_hom _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, ρ_inv _ => by dsimp; exact Discrete.natTrans (fun _ => 𝟙 _)
| _, _, (@comp _ _ _ _ f g) => normalizeMapAux f ≫ normalizeMapAux g
| _, _, (@Hom.tensor _ T _ _ W f g) =>
Discrete.natTrans <| fun ⟨X⟩ => (normalizeMapAux g).app ⟨normalizeObj T X⟩ ≫
(normalizeObj' W).map ((normalizeMapAux f).app ⟨X⟩)
| _, _, (@Hom.whiskerLeft _ T _ W f) =>
Discrete.natTrans <| fun ⟨X⟩ => (normalizeMapAux f).app ⟨normalizeObj T X⟩
| _, _, (@Hom.whiskerRight _ T _ f W) =>
Discrete.natTrans <| fun X => (normalizeObj' W).map <| (normalizeMapAux f).app X
#align category_theory.free_monoidal_category.normalize_map_aux CategoryTheory.FreeMonoidalCategory.normalizeMapAux
end
section
variable (C)
@[simp]
def normalize : F C ⥤ N C ⥤ N C where
obj X := normalizeObj' X
map {X Y} := Quotient.lift normalizeMapAux (by aesop_cat)
#align category_theory.free_monoidal_category.normalize CategoryTheory.FreeMonoidalCategory.normalize
@[simp]
def normalize' : F C ⥤ N C ⥤ F C :=
normalize C ⋙ (whiskeringRight _ _ _).obj inclusion
#align category_theory.free_monoidal_category.normalize' CategoryTheory.FreeMonoidalCategory.normalize'
def fullNormalize : F C ⥤ N C where
obj X := ((normalize C).obj X).obj ⟨NormalMonoidalObject.unit⟩
map f := ((normalize C).map f).app ⟨NormalMonoidalObject.unit⟩
#align category_theory.free_monoidal_category.full_normalize CategoryTheory.FreeMonoidalCategory.fullNormalize
@[simp]
def tensorFunc : F C ⥤ N C ⥤ F C where
obj X := Discrete.functor fun n => inclusion.obj ⟨n⟩ ⊗ X
map f := Discrete.natTrans (fun n => _ ◁ f)
#align category_theory.free_monoidal_category.tensor_func CategoryTheory.FreeMonoidalCategory.tensorFunc
theorem tensorFunc_map_app {X Y : F C} (f : X ⟶ Y) (n) : ((tensorFunc C).map f).app n = _ ◁ f :=
rfl
#align category_theory.free_monoidal_category.tensor_func_map_app CategoryTheory.FreeMonoidalCategory.tensorFunc_map_app
| Mathlib/CategoryTheory/Monoidal/Free/Coherence.lean | 184 | 191 | theorem tensorFunc_obj_map (Z : F C) {n n' : N C} (f : n ⟶ n') :
((tensorFunc C).obj Z).map f = inclusion.map f ▷ Z := by |
cases n
cases n'
rcases f with ⟨⟨h⟩⟩
dsimp at h
subst h
simp
| 0 |
import Mathlib.Data.Nat.Multiplicity
import Mathlib.Data.ZMod.Algebra
import Mathlib.RingTheory.WittVector.Basic
import Mathlib.RingTheory.WittVector.IsPoly
import Mathlib.FieldTheory.Perfect
#align_import ring_theory.witt_vector.frobenius from "leanprover-community/mathlib"@"0723536a0522d24fc2f159a096fb3304bef77472"
namespace WittVector
variable {p : ℕ} {R S : Type*} [hp : Fact p.Prime] [CommRing R] [CommRing S]
local notation "𝕎" => WittVector p -- type as `\bbW`
noncomputable section
open MvPolynomial Finset
variable (p)
def frobeniusPolyRat (n : ℕ) : MvPolynomial ℕ ℚ :=
bind₁ (wittPolynomial p ℚ ∘ fun n => n + 1) (xInTermsOfW p ℚ n)
#align witt_vector.frobenius_poly_rat WittVector.frobeniusPolyRat
theorem bind₁_frobeniusPolyRat_wittPolynomial (n : ℕ) :
bind₁ (frobeniusPolyRat p) (wittPolynomial p ℚ n) = wittPolynomial p ℚ (n + 1) := by
delta frobeniusPolyRat
rw [← bind₁_bind₁, bind₁_xInTermsOfW_wittPolynomial, bind₁_X_right, Function.comp_apply]
#align witt_vector.bind₁_frobenius_poly_rat_witt_polynomial WittVector.bind₁_frobeniusPolyRat_wittPolynomial
private def pnat_multiplicity (n : ℕ+) : ℕ :=
(multiplicity p n).get <| multiplicity.finite_nat_iff.mpr <| ⟨ne_of_gt hp.1.one_lt, n.2⟩
local notation "v" => pnat_multiplicity
noncomputable def frobeniusPolyAux : ℕ → MvPolynomial ℕ ℤ
| n => X (n + 1) - ∑ i : Fin n, have _ := i.is_lt
∑ j ∈ range (p ^ (n - i)),
(((X (i : ℕ) ^ p) ^ (p ^ (n - (i : ℕ)) - (j + 1)) : MvPolynomial ℕ ℤ) *
(frobeniusPolyAux i) ^ (j + 1)) *
C (((p ^ (n - i)).choose (j + 1) / (p ^ (n - i - v p ⟨j + 1, Nat.succ_pos j⟩))
* ↑p ^ (j - v p ⟨j + 1, Nat.succ_pos j⟩) : ℕ) : ℤ)
#align witt_vector.frobenius_poly_aux WittVector.frobeniusPolyAux
theorem frobeniusPolyAux_eq (n : ℕ) :
frobeniusPolyAux p n =
X (n + 1) - ∑ i ∈ range n,
∑ j ∈ range (p ^ (n - i)),
(X i ^ p) ^ (p ^ (n - i) - (j + 1)) * frobeniusPolyAux p i ^ (j + 1) *
C ↑((p ^ (n - i)).choose (j + 1) / p ^ (n - i - v p ⟨j + 1, Nat.succ_pos j⟩) *
↑p ^ (j - v p ⟨j + 1, Nat.succ_pos j⟩) : ℕ) := by
rw [frobeniusPolyAux, ← Fin.sum_univ_eq_sum_range]
#align witt_vector.frobenius_poly_aux_eq WittVector.frobeniusPolyAux_eq
def frobeniusPoly (n : ℕ) : MvPolynomial ℕ ℤ :=
X n ^ p + C (p : ℤ) * frobeniusPolyAux p n
#align witt_vector.frobenius_poly WittVector.frobeniusPoly
| Mathlib/RingTheory/WittVector/Frobenius.lean | 123 | 127 | theorem map_frobeniusPoly.key₁ (n j : ℕ) (hj : j < p ^ n) :
p ^ (n - v p ⟨j + 1, j.succ_pos⟩) ∣ (p ^ n).choose (j + 1) := by |
apply multiplicity.pow_dvd_of_le_multiplicity
rw [hp.out.multiplicity_choose_prime_pow hj j.succ_ne_zero]
rfl
| 0 |
import Mathlib.Algebra.Ring.Idempotents
import Mathlib.Analysis.Normed.Group.Basic
import Mathlib.Order.Basic
import Mathlib.Tactic.NoncommRing
#align_import analysis.normed_space.M_structure from "leanprover-community/mathlib"@"d11893b411025250c8e61ff2f12ccbd7ee35ab15"
variable (X : Type*) [NormedAddCommGroup X]
variable {M : Type*} [Ring M] [Module M X]
-- Porting note: Mathlib3 uses names with uppercase 'L' for L-projections
set_option linter.uppercaseLean3 false
structure IsLprojection (P : M) : Prop where
proj : IsIdempotentElem P
Lnorm : ∀ x : X, ‖x‖ = ‖P • x‖ + ‖(1 - P) • x‖
#align is_Lprojection IsLprojection
structure IsMprojection (P : M) : Prop where
proj : IsIdempotentElem P
Mnorm : ∀ x : X, ‖x‖ = max ‖P • x‖ ‖(1 - P) • x‖
#align is_Mprojection IsMprojection
variable {X}
namespace IsLprojection
-- Porting note: The literature always uses uppercase 'L' for L-projections
theorem Lcomplement {P : M} (h : IsLprojection X P) : IsLprojection X (1 - P) :=
⟨h.proj.one_sub, fun x => by
rw [add_comm, sub_sub_cancel]
exact h.Lnorm x⟩
#align is_Lprojection.Lcomplement IsLprojection.Lcomplement
theorem Lcomplement_iff (P : M) : IsLprojection X P ↔ IsLprojection X (1 - P) :=
⟨Lcomplement, fun h => sub_sub_cancel 1 P ▸ h.Lcomplement⟩
#align is_Lprojection.Lcomplement_iff IsLprojection.Lcomplement_iff
theorem commute [FaithfulSMul M X] {P Q : M} (h₁ : IsLprojection X P) (h₂ : IsLprojection X Q) :
Commute P Q := by
have PR_eq_RPR : ∀ R : M, IsLprojection X R → P * R = R * P * R := fun R h₃ => by
-- Porting note: Needed to fix function, which changes indent of following lines
refine @eq_of_smul_eq_smul _ X _ _ _ _ fun x => by
rw [← norm_sub_eq_zero_iff]
have e1 : ‖R • x‖ ≥ ‖R • x‖ + 2 • ‖(P * R) • x - (R * P * R) • x‖ :=
calc
‖R • x‖ = ‖R • P • R • x‖ + ‖(1 - R) • P • R • x‖ +
(‖(R * R) • x - R • P • R • x‖ + ‖(1 - R) • (1 - P) • R • x‖) := by
rw [h₁.Lnorm, h₃.Lnorm, h₃.Lnorm ((1 - P) • R • x), sub_smul 1 P, one_smul, smul_sub,
mul_smul]
_ = ‖R • P • R • x‖ + ‖(1 - R) • P • R • x‖ +
(‖R • x - R • P • R • x‖ + ‖((1 - R) * R) • x - (1 - R) • P • R • x‖) := by
rw [h₃.proj.eq, sub_smul 1 P, one_smul, smul_sub, mul_smul]
_ = ‖R • P • R • x‖ + ‖(1 - R) • P • R • x‖ +
(‖R • x - R • P • R • x‖ + ‖(1 - R) • P • R • x‖) := by
rw [sub_mul, h₃.proj.eq, one_mul, sub_self, zero_smul, zero_sub, norm_neg]
_ = ‖R • P • R • x‖ + ‖R • x - R • P • R • x‖ + 2 • ‖(1 - R) • P • R • x‖ := by abel
_ ≥ ‖R • x‖ + 2 • ‖(P * R) • x - (R * P * R) • x‖ := by
rw [GE.ge]
have :=
add_le_add_right (norm_le_insert' (R • x) (R • P • R • x)) (2 • ‖(1 - R) • P • R • x‖)
simpa only [mul_smul, sub_smul, one_smul] using this
rw [GE.ge] at e1
-- Porting note: Bump index in nth_rewrite
nth_rewrite 2 [← add_zero ‖R • x‖] at e1
rw [add_le_add_iff_left, two_smul, ← two_mul] at e1
rw [le_antisymm_iff]
refine ⟨?_, norm_nonneg _⟩
rwa [← mul_zero (2 : ℝ), mul_le_mul_left (show (0 : ℝ) < 2 by norm_num)] at e1
have QP_eq_QPQ : Q * P = Q * P * Q := by
have e1 : P * (1 - Q) = P * (1 - Q) - (Q * P - Q * P * Q) :=
calc
P * (1 - Q) = (1 - Q) * P * (1 - Q) := by rw [PR_eq_RPR (1 - Q) h₂.Lcomplement]
_ = P * (1 - Q) - (Q * P - Q * P * Q) := by noncomm_ring
rwa [eq_sub_iff_add_eq, add_right_eq_self, sub_eq_zero] at e1
show P * Q = Q * P
rw [QP_eq_QPQ, PR_eq_RPR Q h₂]
#align is_Lprojection.commute IsLprojection.commute
| Mathlib/Analysis/NormedSpace/MStructure.lean | 147 | 162 | theorem mul [FaithfulSMul M X] {P Q : M} (h₁ : IsLprojection X P) (h₂ : IsLprojection X Q) :
IsLprojection X (P * Q) := by |
refine ⟨IsIdempotentElem.mul_of_commute (h₁.commute h₂) h₁.proj h₂.proj, ?_⟩
intro x
refine le_antisymm ?_ ?_
· calc
‖x‖ = ‖(P * Q) • x + (x - (P * Q) • x)‖ := by rw [add_sub_cancel ((P * Q) • x) x]
_ ≤ ‖(P * Q) • x‖ + ‖x - (P * Q) • x‖ := by apply norm_add_le
_ = ‖(P * Q) • x‖ + ‖(1 - P * Q) • x‖ := by rw [sub_smul, one_smul]
· calc
‖x‖ = ‖P • Q • x‖ + (‖Q • x - P • Q • x‖ + ‖x - Q • x‖) := by
rw [h₂.Lnorm x, h₁.Lnorm (Q • x), sub_smul, one_smul, sub_smul, one_smul, add_assoc]
_ ≥ ‖P • Q • x‖ + ‖Q • x - P • Q • x + (x - Q • x)‖ :=
((add_le_add_iff_left ‖P • Q • x‖).mpr (norm_add_le (Q • x - P • Q • x) (x - Q • x)))
_ = ‖(P * Q) • x‖ + ‖(1 - P * Q) • x‖ := by
rw [sub_add_sub_cancel', sub_smul, one_smul, mul_smul]
| 0 |
import Mathlib.LinearAlgebra.Dimension.Finite
import Mathlib.LinearAlgebra.Dimension.Constructions
open Cardinal Submodule Set FiniteDimensional
universe u v
section Module
variable {K : Type u} {V : Type v} [Ring K] [StrongRankCondition K] [AddCommGroup V] [Module K V]
noncomputable def Basis.ofRankEqZero [Module.Free K V] {ι : Type*} [IsEmpty ι]
(hV : Module.rank K V = 0) : Basis ι K V :=
haveI : Subsingleton V := by
obtain ⟨_, b⟩ := Module.Free.exists_basis (R := K) (M := V)
haveI := mk_eq_zero_iff.1 (hV ▸ b.mk_eq_rank'')
exact b.repr.toEquiv.subsingleton
Basis.empty _
#align basis.of_rank_eq_zero Basis.ofRankEqZero
@[simp]
theorem Basis.ofRankEqZero_apply [Module.Free K V] {ι : Type*} [IsEmpty ι]
(hV : Module.rank K V = 0) (i : ι) : Basis.ofRankEqZero hV i = 0 := rfl
#align basis.of_rank_eq_zero_apply Basis.ofRankEqZero_apply
| Mathlib/LinearAlgebra/Dimension/FreeAndStrongRankCondition.lean | 46 | 60 | theorem le_rank_iff_exists_linearIndependent [Module.Free K V] {c : Cardinal} :
c ≤ Module.rank K V ↔ ∃ s : Set V, #s = c ∧ LinearIndependent K ((↑) : s → V) := by |
haveI := nontrivial_of_invariantBasisNumber K
constructor
· intro h
obtain ⟨κ, t'⟩ := Module.Free.exists_basis (R := K) (M := V)
let t := t'.reindexRange
have : LinearIndependent K ((↑) : Set.range t' → V) := by
convert t.linearIndependent
ext; exact (Basis.reindexRange_apply _ _).symm
rw [← t.mk_eq_rank'', le_mk_iff_exists_subset] at h
rcases h with ⟨s, hst, hsc⟩
exact ⟨s, hsc, this.mono hst⟩
· rintro ⟨s, rfl, si⟩
exact si.cardinal_le_rank
| 0 |
import Mathlib.Data.ZMod.Quotient
#align_import group_theory.complement from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f"
open Set
open scoped Pointwise
namespace Subgroup
variable {G : Type*} [Group G] (H K : Subgroup G) (S T : Set G)
@[to_additive "`S` and `T` are complements if `(+) : S × T → G` is a bijection"]
def IsComplement : Prop :=
Function.Bijective fun x : S × T => x.1.1 * x.2.1
#align subgroup.is_complement Subgroup.IsComplement
#align add_subgroup.is_complement AddSubgroup.IsComplement
@[to_additive "`H` and `K` are complements if `(+) : H × K → G` is a bijection"]
abbrev IsComplement' :=
IsComplement (H : Set G) (K : Set G)
#align subgroup.is_complement' Subgroup.IsComplement'
#align add_subgroup.is_complement' AddSubgroup.IsComplement'
@[to_additive "The set of left-complements of `T : Set G`"]
def leftTransversals : Set (Set G) :=
{ S : Set G | IsComplement S T }
#align subgroup.left_transversals Subgroup.leftTransversals
#align add_subgroup.left_transversals AddSubgroup.leftTransversals
@[to_additive "The set of right-complements of `S : Set G`"]
def rightTransversals : Set (Set G) :=
{ T : Set G | IsComplement S T }
#align subgroup.right_transversals Subgroup.rightTransversals
#align add_subgroup.right_transversals AddSubgroup.rightTransversals
variable {H K S T}
@[to_additive]
theorem isComplement'_def : IsComplement' H K ↔ IsComplement (H : Set G) (K : Set G) :=
Iff.rfl
#align subgroup.is_complement'_def Subgroup.isComplement'_def
#align add_subgroup.is_complement'_def AddSubgroup.isComplement'_def
@[to_additive]
theorem isComplement_iff_existsUnique :
IsComplement S T ↔ ∀ g : G, ∃! x : S × T, x.1.1 * x.2.1 = g :=
Function.bijective_iff_existsUnique _
#align subgroup.is_complement_iff_exists_unique Subgroup.isComplement_iff_existsUnique
#align add_subgroup.is_complement_iff_exists_unique AddSubgroup.isComplement_iff_existsUnique
@[to_additive]
theorem IsComplement.existsUnique (h : IsComplement S T) (g : G) :
∃! x : S × T, x.1.1 * x.2.1 = g :=
isComplement_iff_existsUnique.mp h g
#align subgroup.is_complement.exists_unique Subgroup.IsComplement.existsUnique
#align add_subgroup.is_complement.exists_unique AddSubgroup.IsComplement.existsUnique
@[to_additive]
theorem IsComplement'.symm (h : IsComplement' H K) : IsComplement' K H := by
let ϕ : H × K ≃ K × H :=
Equiv.mk (fun x => ⟨x.2⁻¹, x.1⁻¹⟩) (fun x => ⟨x.2⁻¹, x.1⁻¹⟩)
(fun x => Prod.ext (inv_inv _) (inv_inv _)) fun x => Prod.ext (inv_inv _) (inv_inv _)
let ψ : G ≃ G := Equiv.mk (fun g : G => g⁻¹) (fun g : G => g⁻¹) inv_inv inv_inv
suffices hf : (ψ ∘ fun x : H × K => x.1.1 * x.2.1) = (fun x : K × H => x.1.1 * x.2.1) ∘ ϕ by
rw [isComplement'_def, IsComplement, ← Equiv.bijective_comp ϕ]
apply (congr_arg Function.Bijective hf).mp -- Porting note: This was a `rw` in mathlib3
rwa [ψ.comp_bijective]
exact funext fun x => mul_inv_rev _ _
#align subgroup.is_complement'.symm Subgroup.IsComplement'.symm
#align add_subgroup.is_complement'.symm AddSubgroup.IsComplement'.symm
@[to_additive]
theorem isComplement'_comm : IsComplement' H K ↔ IsComplement' K H :=
⟨IsComplement'.symm, IsComplement'.symm⟩
#align subgroup.is_complement'_comm Subgroup.isComplement'_comm
#align add_subgroup.is_complement'_comm AddSubgroup.isComplement'_comm
@[to_additive]
theorem isComplement_univ_singleton {g : G} : IsComplement (univ : Set G) {g} :=
⟨fun ⟨_, _, rfl⟩ ⟨_, _, rfl⟩ h => Prod.ext (Subtype.ext (mul_right_cancel h)) rfl, fun x =>
⟨⟨⟨x * g⁻¹, ⟨⟩⟩, g, rfl⟩, inv_mul_cancel_right x g⟩⟩
#align subgroup.is_complement_top_singleton Subgroup.isComplement_univ_singleton
#align add_subgroup.is_complement_top_singleton AddSubgroup.isComplement_univ_singleton
@[to_additive]
theorem isComplement_singleton_univ {g : G} : IsComplement ({g} : Set G) univ :=
⟨fun ⟨⟨_, rfl⟩, _⟩ ⟨⟨_, rfl⟩, _⟩ h => Prod.ext rfl (Subtype.ext (mul_left_cancel h)), fun x =>
⟨⟨⟨g, rfl⟩, g⁻¹ * x, ⟨⟩⟩, mul_inv_cancel_left g x⟩⟩
#align subgroup.is_complement_singleton_top Subgroup.isComplement_singleton_univ
#align add_subgroup.is_complement_singleton_top AddSubgroup.isComplement_singleton_univ
@[to_additive]
| Mathlib/GroupTheory/Complement.lean | 124 | 128 | theorem isComplement_singleton_left {g : G} : IsComplement {g} S ↔ S = univ := by |
refine
⟨fun h => top_le_iff.mp fun x _ => ?_, fun h => (congr_arg _ h).mpr isComplement_singleton_univ⟩
obtain ⟨⟨⟨z, rfl : z = g⟩, y, _⟩, hy⟩ := h.2 (g * x)
rwa [← mul_left_cancel hy]
| 0 |
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.Data.Complex.Orientation
import Mathlib.Tactic.LinearCombination
#align_import analysis.inner_product_space.two_dim from "leanprover-community/mathlib"@"cd8fafa2fac98e1a67097e8a91ad9901cfde48af"
noncomputable section
open scoped RealInnerProductSpace ComplexConjugate
open FiniteDimensional
lemma FiniteDimensional.of_fact_finrank_eq_two {K V : Type*} [DivisionRing K]
[AddCommGroup V] [Module K V] [Fact (finrank K V = 2)] : FiniteDimensional K V :=
.of_fact_finrank_eq_succ 1
attribute [local instance] FiniteDimensional.of_fact_finrank_eq_two
@[deprecated (since := "2024-02-02")]
alias FiniteDimensional.finiteDimensional_of_fact_finrank_eq_two :=
FiniteDimensional.of_fact_finrank_eq_two
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [Fact (finrank ℝ E = 2)]
(o : Orientation ℝ E (Fin 2))
namespace Orientation
irreducible_def areaForm : E →ₗ[ℝ] E →ₗ[ℝ] ℝ := by
let z : E [⋀^Fin 0]→ₗ[ℝ] ℝ ≃ₗ[ℝ] ℝ :=
AlternatingMap.constLinearEquivOfIsEmpty.symm
let y : E [⋀^Fin 1]→ₗ[ℝ] ℝ →ₗ[ℝ] E →ₗ[ℝ] ℝ :=
LinearMap.llcomp ℝ E (E [⋀^Fin 0]→ₗ[ℝ] ℝ) ℝ z ∘ₗ AlternatingMap.curryLeftLinearMap
exact y ∘ₗ AlternatingMap.curryLeftLinearMap (R' := ℝ) o.volumeForm
#align orientation.area_form Orientation.areaForm
local notation "ω" => o.areaForm
theorem areaForm_to_volumeForm (x y : E) : ω x y = o.volumeForm ![x, y] := by simp [areaForm]
#align orientation.area_form_to_volume_form Orientation.areaForm_to_volumeForm
@[simp]
theorem areaForm_apply_self (x : E) : ω x x = 0 := by
rw [areaForm_to_volumeForm]
refine o.volumeForm.map_eq_zero_of_eq ![x, x] ?_ (?_ : (0 : Fin 2) ≠ 1)
· simp
· norm_num
#align orientation.area_form_apply_self Orientation.areaForm_apply_self
theorem areaForm_swap (x y : E) : ω x y = -ω y x := by
simp only [areaForm_to_volumeForm]
convert o.volumeForm.map_swap ![y, x] (_ : (0 : Fin 2) ≠ 1)
· ext i
fin_cases i <;> rfl
· norm_num
#align orientation.area_form_swap Orientation.areaForm_swap
@[simp]
theorem areaForm_neg_orientation : (-o).areaForm = -o.areaForm := by
ext x y
simp [areaForm_to_volumeForm]
#align orientation.area_form_neg_orientation Orientation.areaForm_neg_orientation
def areaForm' : E →L[ℝ] E →L[ℝ] ℝ :=
LinearMap.toContinuousLinearMap
(↑(LinearMap.toContinuousLinearMap : (E →ₗ[ℝ] ℝ) ≃ₗ[ℝ] E →L[ℝ] ℝ) ∘ₗ o.areaForm)
#align orientation.area_form' Orientation.areaForm'
@[simp]
theorem areaForm'_apply (x : E) :
o.areaForm' x = LinearMap.toContinuousLinearMap (o.areaForm x) :=
rfl
#align orientation.area_form'_apply Orientation.areaForm'_apply
theorem abs_areaForm_le (x y : E) : |ω x y| ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.abs_volumeForm_apply_le ![x, y]
#align orientation.abs_area_form_le Orientation.abs_areaForm_le
theorem areaForm_le (x y : E) : ω x y ≤ ‖x‖ * ‖y‖ := by
simpa [areaForm_to_volumeForm, Fin.prod_univ_succ] using o.volumeForm_apply_le ![x, y]
#align orientation.area_form_le Orientation.areaForm_le
theorem abs_areaForm_of_orthogonal {x y : E} (h : ⟪x, y⟫ = 0) : |ω x y| = ‖x‖ * ‖y‖ := by
rw [o.areaForm_to_volumeForm, o.abs_volumeForm_apply_of_pairwise_orthogonal]
· simp [Fin.prod_univ_succ]
intro i j hij
fin_cases i <;> fin_cases j
· simp_all
· simpa using h
· simpa [real_inner_comm] using h
· simp_all
#align orientation.abs_area_form_of_orthogonal Orientation.abs_areaForm_of_orthogonal
theorem areaForm_map {F : Type*} [NormedAddCommGroup F] [InnerProductSpace ℝ F]
[hF : Fact (finrank ℝ F = 2)] (φ : E ≃ₗᵢ[ℝ] F) (x y : F) :
(Orientation.map (Fin 2) φ.toLinearEquiv o).areaForm x y =
o.areaForm (φ.symm x) (φ.symm y) := by
have : φ.symm ∘ ![x, y] = ![φ.symm x, φ.symm y] := by
ext i
fin_cases i <;> rfl
simp [areaForm_to_volumeForm, volumeForm_map, this]
#align orientation.area_form_map Orientation.areaForm_map
| Mathlib/Analysis/InnerProductSpace/TwoDim.lean | 172 | 180 | theorem areaForm_comp_linearIsometryEquiv (φ : E ≃ₗᵢ[ℝ] E)
(hφ : 0 < LinearMap.det (φ.toLinearEquiv : E →ₗ[ℝ] E)) (x y : E) :
o.areaForm (φ x) (φ y) = o.areaForm x y := by |
convert o.areaForm_map φ (φ x) (φ y)
· symm
rwa [← o.map_eq_iff_det_pos φ.toLinearEquiv] at hφ
rw [@Fact.out (finrank ℝ E = 2), Fintype.card_fin]
· simp
· simp
| 0 |
import Mathlib.LinearAlgebra.AffineSpace.AffineEquiv
#align_import linear_algebra.affine_space.affine_subspace from "leanprover-community/mathlib"@"e96bdfbd1e8c98a09ff75f7ac6204d142debc840"
noncomputable section
open Affine
open Set
section
variable (k : Type*) {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [AffineSpace V P]
def vectorSpan (s : Set P) : Submodule k V :=
Submodule.span k (s -ᵥ s)
#align vector_span vectorSpan
theorem vectorSpan_def (s : Set P) : vectorSpan k s = Submodule.span k (s -ᵥ s) :=
rfl
#align vector_span_def vectorSpan_def
theorem vectorSpan_mono {s₁ s₂ : Set P} (h : s₁ ⊆ s₂) : vectorSpan k s₁ ≤ vectorSpan k s₂ :=
Submodule.span_mono (vsub_self_mono h)
#align vector_span_mono vectorSpan_mono
variable (P)
@[simp]
theorem vectorSpan_empty : vectorSpan k (∅ : Set P) = (⊥ : Submodule k V) := by
rw [vectorSpan_def, vsub_empty, Submodule.span_empty]
#align vector_span_empty vectorSpan_empty
variable {P}
@[simp]
| Mathlib/LinearAlgebra/AffineSpace/AffineSubspace.lean | 86 | 86 | theorem vectorSpan_singleton (p : P) : vectorSpan k ({p} : Set P) = ⊥ := by | simp [vectorSpan_def]
| 0 |
import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Algebra.Order.Group.Indicator
import Mathlib.Order.LiminfLimsup
import Mathlib.Order.Filter.Archimedean
import Mathlib.Order.Filter.CountableInter
import Mathlib.Topology.Algebra.Group.Basic
import Mathlib.Data.Set.Lattice
import Mathlib.Topology.Order.Monotone
#align_import topology.algebra.order.liminf_limsup from "leanprover-community/mathlib"@"ce64cd319bb6b3e82f31c2d38e79080d377be451"
open Filter TopologicalSpace
open scoped Topology Classical
universe u v
variable {ι α β R S : Type*} {π : ι → Type*}
class BoundedLENhdsClass (α : Type*) [Preorder α] [TopologicalSpace α] : Prop where
isBounded_le_nhds (a : α) : (𝓝 a).IsBounded (· ≤ ·)
#align bounded_le_nhds_class BoundedLENhdsClass
class BoundedGENhdsClass (α : Type*) [Preorder α] [TopologicalSpace α] : Prop where
isBounded_ge_nhds (a : α) : (𝓝 a).IsBounded (· ≥ ·)
#align bounded_ge_nhds_class BoundedGENhdsClass
section Preorder
variable [Preorder α] [Preorder β] [TopologicalSpace α] [TopologicalSpace β]
section LiminfLimsup
section Monotone
variable {F : Filter ι} [NeBot F]
[ConditionallyCompleteLinearOrder R] [TopologicalSpace R] [OrderTopology R]
[ConditionallyCompleteLinearOrder S] [TopologicalSpace S] [OrderTopology S]
| Mathlib/Topology/Algebra/Order/LiminfLimsup.lean | 339 | 385 | theorem Antitone.map_limsSup_of_continuousAt {F : Filter R} [NeBot F] {f : R → S}
(f_decr : Antitone f) (f_cont : ContinuousAt f F.limsSup)
(bdd_above : F.IsBounded (· ≤ ·) := by | isBoundedDefault)
(bdd_below : F.IsBounded (· ≥ ·) := by isBoundedDefault) :
f F.limsSup = F.liminf f := by
have cobdd : F.IsCobounded (· ≤ ·) := bdd_below.isCobounded_flip
apply le_antisymm
· rw [limsSup, f_decr.map_sInf_of_continuousAt' f_cont bdd_above cobdd]
apply le_of_forall_lt
intro c hc
simp only [liminf, limsInf, eventually_map] at hc ⊢
obtain ⟨d, hd, h'd⟩ :=
exists_lt_of_lt_csSup (bdd_above.recOn fun x hx ↦ ⟨f x, Set.mem_image_of_mem f hx⟩) hc
apply lt_csSup_of_lt ?_ ?_ h'd
· exact (Antitone.isBoundedUnder_le_comp f_decr bdd_below).isCoboundedUnder_flip
· rcases hd with ⟨e, ⟨he, fe_eq_d⟩⟩
filter_upwards [he] with x hx using (fe_eq_d.symm ▸ f_decr hx)
· by_cases h' : ∃ c, c < F.limsSup ∧ Set.Ioo c F.limsSup = ∅
· rcases h' with ⟨c, c_lt, hc⟩
have B : ∃ᶠ n in F, F.limsSup ≤ n := by
apply (frequently_lt_of_lt_limsSup cobdd c_lt).mono
intro x hx
by_contra!
have : (Set.Ioo c F.limsSup).Nonempty := ⟨x, ⟨hx, this⟩⟩
simp only [hc, Set.not_nonempty_empty] at this
apply liminf_le_of_frequently_le _ (bdd_above.isBoundedUnder f_decr)
exact B.mono fun x hx ↦ f_decr hx
push_neg at h'
by_contra! H
have not_bot : ¬ IsBot F.limsSup := fun maybe_bot ↦
lt_irrefl (F.liminf f) <| lt_of_le_of_lt
(liminf_le_of_frequently_le (frequently_of_forall (fun r ↦ f_decr (maybe_bot r)))
(bdd_above.isBoundedUnder f_decr)) H
obtain ⟨l, l_lt, h'l⟩ :
∃ l < F.limsSup, Set.Ioc l F.limsSup ⊆ { x : R | f x < F.liminf f } := by
apply exists_Ioc_subset_of_mem_nhds ((tendsto_order.1 f_cont.tendsto).2 _ H)
simpa [IsBot] using not_bot
obtain ⟨m, l_m, m_lt⟩ : (Set.Ioo l F.limsSup).Nonempty := by
contrapose! h'
exact ⟨l, l_lt, h'⟩
have B : F.liminf f ≤ f m := by
apply liminf_le_of_frequently_le _ _
· apply (frequently_lt_of_lt_limsSup cobdd m_lt).mono
exact fun x hx ↦ f_decr hx.le
· exact IsBounded.isBoundedUnder f_decr bdd_above
have I : f m < F.liminf f := h'l ⟨l_m, m_lt.le⟩
exact lt_irrefl _ (B.trans_lt I)
| 0 |
import Mathlib.Topology.Separation
#align_import topology.shrinking_lemma from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
open Set Function
open scoped Classical
noncomputable section
variable {ι X : Type*} [TopologicalSpace X] [NormalSpace X]
namespace ShrinkingLemma
-- the trivial refinement needs `u` to be a covering
-- Porting note(#5171): this linter isn't ported yet. @[nolint has_nonempty_instance]
@[ext] structure PartialRefinement (u : ι → Set X) (s : Set X) where
toFun : ι → Set X
carrier : Set ι
protected isOpen : ∀ i, IsOpen (toFun i)
subset_iUnion : s ⊆ ⋃ i, toFun i
closure_subset : ∀ {i}, i ∈ carrier → closure (toFun i) ⊆ u i
apply_eq : ∀ {i}, i ∉ carrier → toFun i = u i
#align shrinking_lemma.partial_refinement ShrinkingLemma.PartialRefinement
namespace PartialRefinement
variable {u : ι → Set X} {s : Set X}
instance : CoeFun (PartialRefinement u s) fun _ => ι → Set X := ⟨toFun⟩
#align shrinking_lemma.partial_refinement.subset_Union ShrinkingLemma.PartialRefinement.subset_iUnion
#align shrinking_lemma.partial_refinement.closure_subset ShrinkingLemma.PartialRefinement.closure_subset
#align shrinking_lemma.partial_refinement.apply_eq ShrinkingLemma.PartialRefinement.apply_eq
#align shrinking_lemma.partial_refinement.is_open ShrinkingLemma.PartialRefinement.isOpen
protected theorem subset (v : PartialRefinement u s) (i : ι) : v i ⊆ u i :=
if h : i ∈ v.carrier then subset_closure.trans (v.closure_subset h) else (v.apply_eq h).le
#align shrinking_lemma.partial_refinement.subset ShrinkingLemma.PartialRefinement.subset
instance : PartialOrder (PartialRefinement u s) where
le v₁ v₂ := v₁.carrier ⊆ v₂.carrier ∧ ∀ i ∈ v₁.carrier, v₁ i = v₂ i
le_refl v := ⟨Subset.refl _, fun _ _ => rfl⟩
le_trans v₁ v₂ v₃ h₁₂ h₂₃ :=
⟨Subset.trans h₁₂.1 h₂₃.1, fun i hi => (h₁₂.2 i hi).trans (h₂₃.2 i <| h₁₂.1 hi)⟩
le_antisymm v₁ v₂ h₁₂ h₂₁ :=
have hc : v₁.carrier = v₂.carrier := Subset.antisymm h₁₂.1 h₂₁.1
PartialRefinement.ext _ _
(funext fun x =>
if hx : x ∈ v₁.carrier then h₁₂.2 _ hx
else (v₁.apply_eq hx).trans (Eq.symm <| v₂.apply_eq <| hc ▸ hx))
hc
theorem apply_eq_of_chain {c : Set (PartialRefinement u s)} (hc : IsChain (· ≤ ·) c) {v₁ v₂}
(h₁ : v₁ ∈ c) (h₂ : v₂ ∈ c) {i} (hi₁ : i ∈ v₁.carrier) (hi₂ : i ∈ v₂.carrier) :
v₁ i = v₂ i :=
(hc.total h₁ h₂).elim (fun hle => hle.2 _ hi₁) (fun hle => (hle.2 _ hi₂).symm)
#align shrinking_lemma.partial_refinement.apply_eq_of_chain ShrinkingLemma.PartialRefinement.apply_eq_of_chain
def chainSupCarrier (c : Set (PartialRefinement u s)) : Set ι :=
⋃ v ∈ c, carrier v
#align shrinking_lemma.partial_refinement.chain_Sup_carrier ShrinkingLemma.PartialRefinement.chainSupCarrier
def find (c : Set (PartialRefinement u s)) (ne : c.Nonempty) (i : ι) : PartialRefinement u s :=
if hi : ∃ v ∈ c, i ∈ carrier v then hi.choose else ne.some
#align shrinking_lemma.partial_refinement.find ShrinkingLemma.PartialRefinement.find
theorem find_mem {c : Set (PartialRefinement u s)} (i : ι) (ne : c.Nonempty) : find c ne i ∈ c := by
rw [find]
split_ifs with h
exacts [h.choose_spec.1, ne.some_mem]
#align shrinking_lemma.partial_refinement.find_mem ShrinkingLemma.PartialRefinement.find_mem
| Mathlib/Topology/ShrinkingLemma.lean | 124 | 132 | theorem mem_find_carrier_iff {c : Set (PartialRefinement u s)} {i : ι} (ne : c.Nonempty) :
i ∈ (find c ne i).carrier ↔ i ∈ chainSupCarrier c := by |
rw [find]
split_ifs with h
· have := h.choose_spec
exact iff_of_true this.2 (mem_iUnion₂.2 ⟨_, this.1, this.2⟩)
· push_neg at h
refine iff_of_false (h _ ne.some_mem) ?_
simpa only [chainSupCarrier, mem_iUnion₂, not_exists]
| 0 |
import Mathlib.MeasureTheory.Measure.Typeclasses
#align_import measure_theory.measure.sub from "leanprover-community/mathlib"@"562bbf524c595c153470e53d36c57b6f891cc480"
open Set
namespace MeasureTheory
namespace Measure
noncomputable instance instSub {α : Type*} [MeasurableSpace α] : Sub (Measure α) :=
⟨fun μ ν => sInf { τ | μ ≤ τ + ν }⟩
#align measure_theory.measure.has_sub MeasureTheory.Measure.instSub
variable {α : Type*} {m : MeasurableSpace α} {μ ν : Measure α} {s : Set α}
theorem sub_def : μ - ν = sInf { d | μ ≤ d + ν } := rfl
#align measure_theory.measure.sub_def MeasureTheory.Measure.sub_def
theorem sub_le_of_le_add {d} (h : μ ≤ d + ν) : μ - ν ≤ d :=
sInf_le h
#align measure_theory.measure.sub_le_of_le_add MeasureTheory.Measure.sub_le_of_le_add
theorem sub_eq_zero_of_le (h : μ ≤ ν) : μ - ν = 0 :=
nonpos_iff_eq_zero'.1 <| sub_le_of_le_add <| by rwa [zero_add]
#align measure_theory.measure.sub_eq_zero_of_le MeasureTheory.Measure.sub_eq_zero_of_le
theorem sub_le : μ - ν ≤ μ :=
sub_le_of_le_add <| Measure.le_add_right le_rfl
#align measure_theory.measure.sub_le MeasureTheory.Measure.sub_le
@[simp]
theorem sub_top : μ - ⊤ = 0 :=
sub_eq_zero_of_le le_top
#align measure_theory.measure.sub_top MeasureTheory.Measure.sub_top
@[simp]
theorem zero_sub : 0 - μ = 0 :=
sub_eq_zero_of_le μ.zero_le
#align measure_theory.measure.zero_sub MeasureTheory.Measure.zero_sub
@[simp]
theorem sub_self : μ - μ = 0 :=
sub_eq_zero_of_le le_rfl
#align measure_theory.measure.sub_self MeasureTheory.Measure.sub_self
theorem sub_apply [IsFiniteMeasure ν] (h₁ : MeasurableSet s) (h₂ : ν ≤ μ) :
(μ - ν) s = μ s - ν s := by
-- We begin by defining `measure_sub`, which will be equal to `(μ - ν)`.
let measure_sub : Measure α := MeasureTheory.Measure.ofMeasurable
(fun (t : Set α) (_ : MeasurableSet t) => μ t - ν t) (by simp)
(fun g h_meas h_disj ↦ by
simp only [measure_iUnion h_disj h_meas]
rw [ENNReal.tsum_sub _ (h₂ <| g ·)]
rw [← measure_iUnion h_disj h_meas]
apply measure_ne_top)
-- Now, we demonstrate `μ - ν = measure_sub`, and apply it.
have h_measure_sub_add : ν + measure_sub = μ := by
ext1 t h_t_measurable_set
simp only [Pi.add_apply, coe_add]
rw [MeasureTheory.Measure.ofMeasurable_apply _ h_t_measurable_set, add_comm,
tsub_add_cancel_of_le (h₂ t)]
have h_measure_sub_eq : μ - ν = measure_sub := by
rw [MeasureTheory.Measure.sub_def]
apply le_antisymm
· apply sInf_le
simp [le_refl, add_comm, h_measure_sub_add]
apply le_sInf
intro d h_d
rw [← h_measure_sub_add, mem_setOf_eq, add_comm d] at h_d
apply Measure.le_of_add_le_add_left h_d
rw [h_measure_sub_eq]
apply Measure.ofMeasurable_apply _ h₁
#align measure_theory.measure.sub_apply MeasureTheory.Measure.sub_apply
theorem sub_add_cancel_of_le [IsFiniteMeasure ν] (h₁ : ν ≤ μ) : μ - ν + ν = μ := by
ext1 s h_s_meas
rw [add_apply, sub_apply h_s_meas h₁, tsub_add_cancel_of_le (h₁ s)]
#align measure_theory.measure.sub_add_cancel_of_le MeasureTheory.Measure.sub_add_cancel_of_le
theorem restrict_sub_eq_restrict_sub_restrict (h_meas_s : MeasurableSet s) :
(μ - ν).restrict s = μ.restrict s - ν.restrict s := by
repeat rw [sub_def]
have h_nonempty : { d | μ ≤ d + ν }.Nonempty := ⟨μ, Measure.le_add_right le_rfl⟩
rw [restrict_sInf_eq_sInf_restrict h_nonempty h_meas_s]
apply le_antisymm
· refine sInf_le_sInf_of_forall_exists_le ?_
intro ν' h_ν'_in
rw [mem_setOf_eq] at h_ν'_in
refine ⟨ν'.restrict s, ?_, restrict_le_self⟩
refine ⟨ν' + (⊤ : Measure α).restrict sᶜ, ?_, ?_⟩
· rw [mem_setOf_eq, add_right_comm, Measure.le_iff]
intro t h_meas_t
repeat rw [← measure_inter_add_diff t h_meas_s]
refine add_le_add ?_ ?_
· rw [add_apply, add_apply]
apply le_add_right _
rw [← restrict_eq_self μ inter_subset_right,
← restrict_eq_self ν inter_subset_right]
apply h_ν'_in
· rw [add_apply, restrict_apply (h_meas_t.diff h_meas_s), diff_eq, inter_assoc, inter_self,
← add_apply]
have h_mu_le_add_top : μ ≤ ν' + ν + ⊤ := by simp only [add_top, le_top]
exact Measure.le_iff'.1 h_mu_le_add_top _
· ext1 t h_meas_t
simp [restrict_apply h_meas_t, restrict_apply (h_meas_t.inter h_meas_s), inter_assoc]
· refine sInf_le_sInf_of_forall_exists_le ?_
refine forall_mem_image.2 fun t h_t_in => ⟨t.restrict s, ?_, le_rfl⟩
rw [Set.mem_setOf_eq, ← restrict_add]
exact restrict_mono Subset.rfl h_t_in
#align measure_theory.measure.restrict_sub_eq_restrict_sub_restrict MeasureTheory.Measure.restrict_sub_eq_restrict_sub_restrict
| Mathlib/MeasureTheory/Measure/Sub.lean | 137 | 139 | theorem sub_apply_eq_zero_of_restrict_le_restrict (h_le : μ.restrict s ≤ ν.restrict s)
(h_meas_s : MeasurableSet s) : (μ - ν) s = 0 := by |
rw [← restrict_apply_self, restrict_sub_eq_restrict_sub_restrict, sub_eq_zero_of_le] <;> simp [*]
| 0 |
import Mathlib.Algebra.Order.Monoid.Unbundled.MinMax
import Mathlib.Algebra.Order.Monoid.WithTop
import Mathlib.Data.Finset.Image
import Mathlib.Data.Multiset.Fold
#align_import data.finset.fold from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
-- TODO:
-- assert_not_exists OrderedCommMonoid
assert_not_exists MonoidWithZero
namespace Finset
open Multiset
variable {α β γ : Type*}
section Fold
variable (op : β → β → β) [hc : Std.Commutative op] [ha : Std.Associative op]
local notation a " * " b => op a b
def fold (b : β) (f : α → β) (s : Finset α) : β :=
(s.1.map f).fold op b
#align finset.fold Finset.fold
variable {op} {f : α → β} {b : β} {s : Finset α} {a : α}
@[simp]
theorem fold_empty : (∅ : Finset α).fold op b f = b :=
rfl
#align finset.fold_empty Finset.fold_empty
@[simp]
theorem fold_cons (h : a ∉ s) : (cons a s h).fold op b f = f a * s.fold op b f := by
dsimp only [fold]
rw [cons_val, Multiset.map_cons, fold_cons_left]
#align finset.fold_cons Finset.fold_cons
@[simp]
theorem fold_insert [DecidableEq α] (h : a ∉ s) :
(insert a s).fold op b f = f a * s.fold op b f := by
unfold fold
rw [insert_val, ndinsert_of_not_mem h, Multiset.map_cons, fold_cons_left]
#align finset.fold_insert Finset.fold_insert
@[simp]
theorem fold_singleton : ({a} : Finset α).fold op b f = f a * b :=
rfl
#align finset.fold_singleton Finset.fold_singleton
@[simp]
theorem fold_map {g : γ ↪ α} {s : Finset γ} : (s.map g).fold op b f = s.fold op b (f ∘ g) := by
simp only [fold, map, Multiset.map_map]
#align finset.fold_map Finset.fold_map
@[simp]
theorem fold_image [DecidableEq α] {g : γ → α} {s : Finset γ}
(H : ∀ x ∈ s, ∀ y ∈ s, g x = g y → x = y) : (s.image g).fold op b f = s.fold op b (f ∘ g) := by
simp only [fold, image_val_of_injOn H, Multiset.map_map]
#align finset.fold_image Finset.fold_image
@[congr]
theorem fold_congr {g : α → β} (H : ∀ x ∈ s, f x = g x) : s.fold op b f = s.fold op b g := by
rw [fold, fold, map_congr rfl H]
#align finset.fold_congr Finset.fold_congr
theorem fold_op_distrib {f g : α → β} {b₁ b₂ : β} :
(s.fold op (b₁ * b₂) fun x => f x * g x) = s.fold op b₁ f * s.fold op b₂ g := by
simp only [fold, fold_distrib]
#align finset.fold_op_distrib Finset.fold_op_distrib
theorem fold_const [hd : Decidable (s = ∅)] (c : β) (h : op c (op b c) = op b c) :
Finset.fold op b (fun _ => c) s = if s = ∅ then b else op b c := by
classical
induction' s using Finset.induction_on with x s hx IH generalizing hd
· simp
· simp only [Finset.fold_insert hx, IH, if_false, Finset.insert_ne_empty]
split_ifs
· rw [hc.comm]
· exact h
#align finset.fold_const Finset.fold_const
theorem fold_hom {op' : γ → γ → γ} [Std.Commutative op'] [Std.Associative op'] {m : β → γ}
(hm : ∀ x y, m (op x y) = op' (m x) (m y)) :
(s.fold op' (m b) fun x => m (f x)) = m (s.fold op b f) := by
rw [fold, fold, ← Multiset.fold_hom op hm, Multiset.map_map]
simp only [Function.comp_apply]
#align finset.fold_hom Finset.fold_hom
theorem fold_disjUnion {s₁ s₂ : Finset α} {b₁ b₂ : β} (h) :
(s₁.disjUnion s₂ h).fold op (b₁ * b₂) f = s₁.fold op b₁ f * s₂.fold op b₂ f :=
(congr_arg _ <| Multiset.map_add _ _ _).trans (Multiset.fold_add _ _ _ _ _)
#align finset.fold_disj_union Finset.fold_disjUnion
theorem fold_disjiUnion {ι : Type*} {s : Finset ι} {t : ι → Finset α} {b : ι → β} {b₀ : β} (h) :
(s.disjiUnion t h).fold op (s.fold op b₀ b) f = s.fold op b₀ fun i => (t i).fold op (b i) f :=
(congr_arg _ <| Multiset.map_bind _ _ _).trans (Multiset.fold_bind _ _ _ _ _)
#align finset.fold_disj_Union Finset.fold_disjiUnion
theorem fold_union_inter [DecidableEq α] {s₁ s₂ : Finset α} {b₁ b₂ : β} :
((s₁ ∪ s₂).fold op b₁ f * (s₁ ∩ s₂).fold op b₂ f) = s₁.fold op b₂ f * s₂.fold op b₁ f := by
unfold fold
rw [← fold_add op, ← Multiset.map_add, union_val, inter_val, union_add_inter, Multiset.map_add,
hc.comm, fold_add]
#align finset.fold_union_inter Finset.fold_union_inter
@[simp]
theorem fold_insert_idem [DecidableEq α] [hi : Std.IdempotentOp op] :
(insert a s).fold op b f = f a * s.fold op b f := by
by_cases h : a ∈ s
· rw [← insert_erase h]
simp [← ha.assoc, hi.idempotent]
· apply fold_insert h
#align finset.fold_insert_idem Finset.fold_insert_idem
| Mathlib/Data/Finset/Fold.lean | 132 | 138 | theorem fold_image_idem [DecidableEq α] {g : γ → α} {s : Finset γ} [hi : Std.IdempotentOp op] :
(image g s).fold op b f = s.fold op b (f ∘ g) := by |
induction' s using Finset.cons_induction with x xs hx ih
· rw [fold_empty, image_empty, fold_empty]
· haveI := Classical.decEq γ
rw [fold_cons, cons_eq_insert, image_insert, fold_insert_idem, ih]
simp only [Function.comp_apply]
| 0 |
import Mathlib.Analysis.Analytic.Basic
import Mathlib.Analysis.SpecialFunctions.Pow.NNReal
#align_import analysis.analytic.radius_liminf from "leanprover-community/mathlib"@"0b9eaaa7686280fad8cce467f5c3c57ee6ce77f8"
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
open scoped Topology Classical NNReal ENNReal
open Filter Asymptotics
namespace FormalMultilinearSeries
variable (p : FormalMultilinearSeries 𝕜 E F)
| Mathlib/Analysis/Analytic/RadiusLiminf.lean | 35 | 61 | theorem radius_eq_liminf :
p.radius = liminf (fun n => (1 / (‖p n‖₊ ^ (1 / (n : ℝ)) : ℝ≥0) : ℝ≥0∞)) atTop := by |
-- Porting note: added type ascription to make elaborated statement match Lean 3 version
have :
∀ (r : ℝ≥0) {n : ℕ},
0 < n → ((r : ℝ≥0∞) ≤ 1 / ↑(‖p n‖₊ ^ (1 / (n : ℝ))) ↔ ‖p n‖₊ * r ^ n ≤ 1) := by
intro r n hn
have : 0 < (n : ℝ) := Nat.cast_pos.2 hn
conv_lhs =>
rw [one_div, ENNReal.le_inv_iff_mul_le, ← ENNReal.coe_mul, ENNReal.coe_le_one_iff, one_div, ←
NNReal.rpow_one r, ← mul_inv_cancel this.ne', NNReal.rpow_mul, ← NNReal.mul_rpow, ←
NNReal.one_rpow n⁻¹, NNReal.rpow_le_rpow_iff (inv_pos.2 this), mul_comm,
NNReal.rpow_natCast]
apply le_antisymm <;> refine ENNReal.le_of_forall_nnreal_lt fun r hr => ?_
· have := ((TFAE_exists_lt_isLittleO_pow (fun n => ‖p n‖ * r ^ n) 1).out 1 7).1
(p.isLittleO_of_lt_radius hr)
obtain ⟨a, ha, H⟩ := this
apply le_liminf_of_le
· infer_param
· rw [← eventually_map]
refine
H.mp ((eventually_gt_atTop 0).mono fun n hn₀ hn => (this _ hn₀).2 (NNReal.coe_le_coe.1 ?_))
push_cast
exact (le_abs_self _).trans (hn.trans (pow_le_one _ ha.1.le ha.2.le))
· refine p.le_radius_of_isBigO (IsBigO.of_bound 1 ?_)
refine (eventually_lt_of_lt_liminf hr).mp ((eventually_gt_atTop 0).mono fun n hn₀ hn => ?_)
simpa using NNReal.coe_le_coe.2 ((this _ hn₀).1 hn.le)
| 0 |
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.Range
#align_import data.list.indexes from "leanprover-community/mathlib"@"8631e2d5ea77f6c13054d9151d82b83069680cb1"
assert_not_exists MonoidWithZero
universe u v
open Function
namespace List
variable {α : Type u} {β : Type v}
section MapIdx
-- Porting note: Add back old definition because it's easier for writing proofs.
protected def oldMapIdxCore (f : ℕ → α → β) : ℕ → List α → List β
| _, [] => []
| k, a :: as => f k a :: List.oldMapIdxCore f (k + 1) as
protected def oldMapIdx (f : ℕ → α → β) (as : List α) : List β :=
List.oldMapIdxCore f 0 as
@[simp]
theorem mapIdx_nil {α β} (f : ℕ → α → β) : mapIdx f [] = [] :=
rfl
#align list.map_with_index_nil List.mapIdx_nil
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_eq (l : List α) (f : ℕ → α → β) (n : ℕ) :
l.oldMapIdxCore f n = l.oldMapIdx fun i a ↦ f (i + n) a := by
induction' l with hd tl hl generalizing f n
· rfl
· rw [List.oldMapIdx]
simp only [List.oldMapIdxCore, hl, Nat.add_left_comm, Nat.add_comm, Nat.add_zero]
#noalign list.map_with_index_core_eq
-- Porting note: convert new definition to old definition.
-- A few new theorems are added to achieve this
-- 1. Prove that `oldMapIdxCore f (l ++ [e]) = oldMapIdxCore f l ++ [f l.length e]`
-- 2. Prove that `oldMapIdx f (l ++ [e]) = oldMapIdx f l ++ [f l.length e]`
-- 3. Prove list induction using `∀ l e, p [] → (p l → p (l ++ [e])) → p l`
-- Porting note (#10756): new theorem.
theorem list_reverse_induction (p : List α → Prop) (base : p [])
(ind : ∀ (l : List α) (e : α), p l → p (l ++ [e])) : (∀ (l : List α), p l) := by
let q := fun l ↦ p (reverse l)
have pq : ∀ l, p (reverse l) → q l := by simp only [q, reverse_reverse]; intro; exact id
have qp : ∀ l, q (reverse l) → p l := by simp only [q, reverse_reverse]; intro; exact id
intro l
apply qp
generalize (reverse l) = l
induction' l with head tail ih
· apply pq; simp only [reverse_nil, base]
· apply pq; simp only [reverse_cons]; apply ind; apply qp; rw [reverse_reverse]; exact ih
-- Porting note (#10756): new theorem.
protected theorem oldMapIdxCore_append : ∀ (f : ℕ → α → β) (n : ℕ) (l₁ l₂ : List α),
List.oldMapIdxCore f n (l₁ ++ l₂) =
List.oldMapIdxCore f n l₁ ++ List.oldMapIdxCore f (n + l₁.length) l₂ := by
intros f n l₁ l₂
generalize e : (l₁ ++ l₂).length = len
revert n l₁ l₂
induction' len with len ih <;> intros n l₁ l₂ h
· have l₁_nil : l₁ = [] := by
cases l₁
· rfl
· contradiction
have l₂_nil : l₂ = [] := by
cases l₂
· rfl
· rw [List.length_append] at h; contradiction
simp only [l₁_nil, l₂_nil]; rfl
· cases' l₁ with head tail
· rfl
· simp only [List.oldMapIdxCore, List.append_eq, length_cons, cons_append,cons.injEq, true_and]
suffices n + Nat.succ (length tail) = n + 1 + tail.length by
rw [this]
apply ih (n + 1) _ _ _
simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h
simp only [length_append, h]
rw [Nat.add_assoc]; simp only [Nat.add_comm]
-- Porting note (#10756): new theorem.
protected theorem oldMapIdx_append : ∀ (f : ℕ → α → β) (l : List α) (e : α),
List.oldMapIdx f (l ++ [e]) = List.oldMapIdx f l ++ [f l.length e] := by
intros f l e
unfold List.oldMapIdx
rw [List.oldMapIdxCore_append f 0 l [e]]
simp only [Nat.zero_add]; rfl
-- Porting note (#10756): new theorem.
| Mathlib/Data/List/Indexes.lean | 109 | 129 | theorem mapIdxGo_append : ∀ (f : ℕ → α → β) (l₁ l₂ : List α) (arr : Array β),
mapIdx.go f (l₁ ++ l₂) arr = mapIdx.go f l₂ (List.toArray (mapIdx.go f l₁ arr)) := by |
intros f l₁ l₂ arr
generalize e : (l₁ ++ l₂).length = len
revert l₁ l₂ arr
induction' len with len ih <;> intros l₁ l₂ arr h
· have l₁_nil : l₁ = [] := by
cases l₁
· rfl
· contradiction
have l₂_nil : l₂ = [] := by
cases l₂
· rfl
· rw [List.length_append] at h; contradiction
rw [l₁_nil, l₂_nil]; simp only [mapIdx.go, Array.toList_eq, Array.toArray_data]
· cases' l₁ with head tail <;> simp only [mapIdx.go]
· simp only [nil_append, Array.toList_eq, Array.toArray_data]
· simp only [List.append_eq]
rw [ih]
· simp only [cons_append, length_cons, length_append, Nat.succ.injEq] at h
simp only [length_append, h]
| 0 |
import Mathlib.RingTheory.DedekindDomain.Ideal
import Mathlib.RingTheory.Valuation.ExtendToLocalization
import Mathlib.RingTheory.Valuation.ValuationSubring
import Mathlib.Topology.Algebra.ValuedField
import Mathlib.Algebra.Order.Group.TypeTags
#align_import ring_theory.dedekind_domain.adic_valuation from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open scoped Classical DiscreteValuation
open Multiplicative IsDedekindDomain
variable {R : Type*} [CommRing R] [IsDedekindDomain R] {K : Type*} [Field K]
[Algebra R K] [IsFractionRing R K] (v : HeightOneSpectrum R)
namespace IsDedekindDomain.HeightOneSpectrum
def intValuationDef (r : R) : ℤₘ₀ :=
if r = 0 then 0
else
↑(Multiplicative.ofAdd
(-(Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {r} : Ideal R)).factors : ℤ))
#align is_dedekind_domain.height_one_spectrum.int_valuation_def IsDedekindDomain.HeightOneSpectrum.intValuationDef
theorem intValuationDef_if_pos {r : R} (hr : r = 0) : v.intValuationDef r = 0 :=
if_pos hr
#align is_dedekind_domain.height_one_spectrum.int_valuation_def_if_pos IsDedekindDomain.HeightOneSpectrum.intValuationDef_if_pos
theorem intValuationDef_if_neg {r : R} (hr : r ≠ 0) :
v.intValuationDef r =
Multiplicative.ofAdd
(-(Associates.mk v.asIdeal).count (Associates.mk (Ideal.span {r} : Ideal R)).factors : ℤ) :=
if_neg hr
#align is_dedekind_domain.height_one_spectrum.int_valuation_def_if_neg IsDedekindDomain.HeightOneSpectrum.intValuationDef_if_neg
theorem int_valuation_ne_zero (x : R) (hx : x ≠ 0) : v.intValuationDef x ≠ 0 := by
rw [intValuationDef, if_neg hx]
exact WithZero.coe_ne_zero
#align is_dedekind_domain.height_one_spectrum.int_valuation_ne_zero IsDedekindDomain.HeightOneSpectrum.int_valuation_ne_zero
theorem int_valuation_ne_zero' (x : nonZeroDivisors R) : v.intValuationDef x ≠ 0 :=
v.int_valuation_ne_zero x (nonZeroDivisors.coe_ne_zero x)
#align is_dedekind_domain.height_one_spectrum.int_valuation_ne_zero' IsDedekindDomain.HeightOneSpectrum.int_valuation_ne_zero'
theorem int_valuation_zero_le (x : nonZeroDivisors R) : 0 < v.intValuationDef x := by
rw [v.intValuationDef_if_neg (nonZeroDivisors.coe_ne_zero x)]
exact WithZero.zero_lt_coe _
#align is_dedekind_domain.height_one_spectrum.int_valuation_zero_le IsDedekindDomain.HeightOneSpectrum.int_valuation_zero_le
theorem int_valuation_le_one (x : R) : v.intValuationDef x ≤ 1 := by
rw [intValuationDef]
by_cases hx : x = 0
· rw [if_pos hx]; exact WithZero.zero_le 1
· rw [if_neg hx, ← WithZero.coe_one, ← ofAdd_zero, WithZero.coe_le_coe, ofAdd_le,
Right.neg_nonpos_iff]
exact Int.natCast_nonneg _
#align is_dedekind_domain.height_one_spectrum.int_valuation_le_one IsDedekindDomain.HeightOneSpectrum.int_valuation_le_one
theorem int_valuation_lt_one_iff_dvd (r : R) :
v.intValuationDef r < 1 ↔ v.asIdeal ∣ Ideal.span {r} := by
rw [intValuationDef]
split_ifs with hr
· simp [hr]
· rw [← WithZero.coe_one, ← ofAdd_zero, WithZero.coe_lt_coe, ofAdd_lt, neg_lt_zero, ←
Int.ofNat_zero, Int.ofNat_lt, zero_lt_iff]
have h : (Ideal.span {r} : Ideal R) ≠ 0 := by
rw [Ne, Ideal.zero_eq_bot, Ideal.span_singleton_eq_bot]
exact hr
apply Associates.count_ne_zero_iff_dvd h (by apply v.irreducible)
#align is_dedekind_domain.height_one_spectrum.int_valuation_lt_one_iff_dvd IsDedekindDomain.HeightOneSpectrum.int_valuation_lt_one_iff_dvd
theorem int_valuation_le_pow_iff_dvd (r : R) (n : ℕ) :
v.intValuationDef r ≤ Multiplicative.ofAdd (-(n : ℤ)) ↔ v.asIdeal ^ n ∣ Ideal.span {r} := by
rw [intValuationDef]
split_ifs with hr
· simp_rw [hr, Ideal.dvd_span_singleton, zero_le', Submodule.zero_mem]
· rw [WithZero.coe_le_coe, ofAdd_le, neg_le_neg_iff, Int.ofNat_le, Ideal.dvd_span_singleton, ←
Associates.le_singleton_iff,
Associates.prime_pow_dvd_iff_le (Associates.mk_ne_zero'.mpr hr)
(by apply v.associates_irreducible)]
#align is_dedekind_domain.height_one_spectrum.int_valuation_le_pow_iff_dvd IsDedekindDomain.HeightOneSpectrum.int_valuation_le_pow_iff_dvd
theorem IntValuation.map_zero' : v.intValuationDef 0 = 0 :=
v.intValuationDef_if_pos (Eq.refl 0)
#align is_dedekind_domain.height_one_spectrum.int_valuation.map_zero' IsDedekindDomain.HeightOneSpectrum.IntValuation.map_zero'
| Mathlib/RingTheory/DedekindDomain/AdicValuation.lean | 156 | 160 | theorem IntValuation.map_one' : v.intValuationDef 1 = 1 := by |
rw [v.intValuationDef_if_neg (zero_ne_one.symm : (1 : R) ≠ 0), Ideal.span_singleton_one, ←
Ideal.one_eq_top, Associates.mk_one, Associates.factors_one,
Associates.count_zero (by apply v.associates_irreducible), Int.ofNat_zero, neg_zero, ofAdd_zero,
WithZero.coe_one]
| 0 |
import Mathlib.ModelTheory.ElementarySubstructures
#align_import model_theory.skolem from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042"
universe u v w w'
namespace FirstOrder
namespace Language
open Structure Cardinal
open Cardinal
variable (L : Language.{u, v}) {M : Type w} [Nonempty M] [L.Structure M]
@[simps]
def skolem₁ : Language :=
⟨fun n => L.BoundedFormula Empty (n + 1), fun _ => Empty⟩
#align first_order.language.skolem₁ FirstOrder.Language.skolem₁
#align first_order.language.skolem₁_functions FirstOrder.Language.skolem₁_Functions
variable {L}
| Mathlib/ModelTheory/Skolem.lean | 50 | 62 | theorem card_functions_sum_skolem₁ :
#(Σ n, (L.sum L.skolem₁).Functions n) = #(Σ n, L.BoundedFormula Empty (n + 1)) := by |
simp only [card_functions_sum, skolem₁_Functions, mk_sigma, sum_add_distrib']
conv_lhs => enter [2, 1, i]; rw [lift_id'.{u, v}]
rw [add_comm, add_eq_max, max_eq_left]
· refine sum_le_sum _ _ fun n => ?_
rw [← lift_le.{_, max u v}, lift_lift, lift_mk_le.{v}]
refine ⟨⟨fun f => (func f default).bdEqual (func f default), fun f g h => ?_⟩⟩
rcases h with ⟨rfl, ⟨rfl⟩⟩
rfl
· rw [← mk_sigma]
exact infinite_iff.1 (Infinite.of_injective (fun n => ⟨n, ⊥⟩) fun x y xy =>
(Sigma.mk.inj_iff.1 xy).1)
| 0 |
import Mathlib.Analysis.Quaternion
import Mathlib.Analysis.NormedSpace.Exponential
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Series
#align_import analysis.normed_space.quaternion_exponential from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open scoped Quaternion Nat
open NormedSpace
namespace Quaternion
@[simp, norm_cast]
theorem exp_coe (r : ℝ) : exp ℝ (r : ℍ[ℝ]) = ↑(exp ℝ r) :=
(map_exp ℝ (algebraMap ℝ ℍ[ℝ]) (continuous_algebraMap _ _) _).symm
#align quaternion.exp_coe Quaternion.exp_coe
theorem expSeries_even_of_imaginary {q : Quaternion ℝ} (hq : q.re = 0) (n : ℕ) :
expSeries ℝ (Quaternion ℝ) (2 * n) (fun _ => q) =
↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n) / (2 * n)!) := by
rw [expSeries_apply_eq]
have hq2 : q ^ 2 = -normSq q := sq_eq_neg_normSq.mpr hq
letI k : ℝ := ↑(2 * n)!
calc
k⁻¹ • q ^ (2 * n) = k⁻¹ • (-normSq q) ^ n := by rw [pow_mul, hq2]
_ = k⁻¹ • ↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n)) := ?_
_ = ↑((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n) / k) := ?_
· congr 1
rw [neg_pow, normSq_eq_norm_mul_self, pow_mul, sq]
push_cast
rfl
· rw [← coe_mul_eq_smul, div_eq_mul_inv]
norm_cast
ring_nf
| Mathlib/Analysis/NormedSpace/QuaternionExponential.lean | 59 | 78 | theorem expSeries_odd_of_imaginary {q : Quaternion ℝ} (hq : q.re = 0) (n : ℕ) :
expSeries ℝ (Quaternion ℝ) (2 * n + 1) (fun _ => q) =
(((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n + 1) / (2 * n + 1)!) / ‖q‖) • q := by |
rw [expSeries_apply_eq]
obtain rfl | hq0 := eq_or_ne q 0
· simp
have hq2 : q ^ 2 = -normSq q := sq_eq_neg_normSq.mpr hq
have hqn := norm_ne_zero_iff.mpr hq0
let k : ℝ := ↑(2 * n + 1)!
calc
k⁻¹ • q ^ (2 * n + 1) = k⁻¹ • ((-normSq q) ^ n * q) := by rw [pow_succ, pow_mul, hq2]
_ = k⁻¹ • ((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n)) • q := ?_
_ = ((-1 : ℝ) ^ n * ‖q‖ ^ (2 * n + 1) / k / ‖q‖) • q := ?_
· congr 1
rw [neg_pow, normSq_eq_norm_mul_self, pow_mul, sq, ← coe_mul_eq_smul]
norm_cast
· rw [smul_smul]
congr 1
simp_rw [pow_succ, mul_div_assoc, div_div_cancel_left' hqn]
ring
| 0 |
import Mathlib.Data.Fintype.Option
import Mathlib.Data.Fintype.Prod
import Mathlib.Data.Fintype.Pi
import Mathlib.Data.Vector.Basic
import Mathlib.Data.PFun
import Mathlib.Logic.Function.Iterate
import Mathlib.Order.Basic
import Mathlib.Tactic.ApplyFun
#align_import computability.turing_machine from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
assert_not_exists MonoidWithZero
open Relation
open Nat (iterate)
open Function (update iterate_succ iterate_succ_apply iterate_succ' iterate_succ_apply'
iterate_zero_apply)
namespace Turing
def BlankExtends {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop :=
∃ n, l₂ = l₁ ++ List.replicate n default
#align turing.blank_extends Turing.BlankExtends
@[refl]
theorem BlankExtends.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankExtends l l :=
⟨0, by simp⟩
#align turing.blank_extends.refl Turing.BlankExtends.refl
@[trans]
theorem BlankExtends.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} :
BlankExtends l₁ l₂ → BlankExtends l₂ l₃ → BlankExtends l₁ l₃ := by
rintro ⟨i, rfl⟩ ⟨j, rfl⟩
exact ⟨i + j, by simp [List.replicate_add]⟩
#align turing.blank_extends.trans Turing.BlankExtends.trans
theorem BlankExtends.below_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} :
BlankExtends l l₁ → BlankExtends l l₂ → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by
rintro ⟨i, rfl⟩ ⟨j, rfl⟩ h; use j - i
simp only [List.length_append, Nat.add_le_add_iff_left, List.length_replicate] at h
simp only [← List.replicate_add, Nat.add_sub_cancel' h, List.append_assoc]
#align turing.blank_extends.below_of_le Turing.BlankExtends.below_of_le
def BlankExtends.above {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} (h₁ : BlankExtends l l₁)
(h₂ : BlankExtends l l₂) : { l' // BlankExtends l₁ l' ∧ BlankExtends l₂ l' } :=
if h : l₁.length ≤ l₂.length then ⟨l₂, h₁.below_of_le h₂ h, BlankExtends.refl _⟩
else ⟨l₁, BlankExtends.refl _, h₂.below_of_le h₁ (le_of_not_ge h)⟩
#align turing.blank_extends.above Turing.BlankExtends.above
theorem BlankExtends.above_of_le {Γ} [Inhabited Γ] {l l₁ l₂ : List Γ} :
BlankExtends l₁ l → BlankExtends l₂ l → l₁.length ≤ l₂.length → BlankExtends l₁ l₂ := by
rintro ⟨i, rfl⟩ ⟨j, e⟩ h; use i - j
refine List.append_cancel_right (e.symm.trans ?_)
rw [List.append_assoc, ← List.replicate_add, Nat.sub_add_cancel]
apply_fun List.length at e
simp only [List.length_append, List.length_replicate] at e
rwa [← Nat.add_le_add_iff_left, e, Nat.add_le_add_iff_right]
#align turing.blank_extends.above_of_le Turing.BlankExtends.above_of_le
def BlankRel {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) : Prop :=
BlankExtends l₁ l₂ ∨ BlankExtends l₂ l₁
#align turing.blank_rel Turing.BlankRel
@[refl]
theorem BlankRel.refl {Γ} [Inhabited Γ] (l : List Γ) : BlankRel l l :=
Or.inl (BlankExtends.refl _)
#align turing.blank_rel.refl Turing.BlankRel.refl
@[symm]
theorem BlankRel.symm {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} : BlankRel l₁ l₂ → BlankRel l₂ l₁ :=
Or.symm
#align turing.blank_rel.symm Turing.BlankRel.symm
@[trans]
| Mathlib/Computability/TuringMachine.lean | 133 | 143 | theorem BlankRel.trans {Γ} [Inhabited Γ] {l₁ l₂ l₃ : List Γ} :
BlankRel l₁ l₂ → BlankRel l₂ l₃ → BlankRel l₁ l₃ := by |
rintro (h₁ | h₁) (h₂ | h₂)
· exact Or.inl (h₁.trans h₂)
· rcases le_total l₁.length l₃.length with h | h
· exact Or.inl (h₁.above_of_le h₂ h)
· exact Or.inr (h₂.above_of_le h₁ h)
· rcases le_total l₁.length l₃.length with h | h
· exact Or.inl (h₁.below_of_le h₂ h)
· exact Or.inr (h₂.below_of_le h₁ h)
· exact Or.inr (h₂.trans h₁)
| 0 |
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.LinearAlgebra.FreeModule.Finite.Basic
import Mathlib.LinearAlgebra.FreeModule.StrongRankCondition
import Mathlib.LinearAlgebra.Projection
import Mathlib.LinearAlgebra.SesquilinearForm
import Mathlib.RingTheory.TensorProduct.Basic
import Mathlib.RingTheory.Ideal.LocalRing
#align_import linear_algebra.dual from "leanprover-community/mathlib"@"b1c017582e9f18d8494e5c18602a8cb4a6f843ac"
noncomputable section
namespace Module
-- Porting note: max u v universe issues so name and specific below
universe uR uA uM uM' uM''
variable (R : Type uR) (A : Type uA) (M : Type uM)
variable [CommSemiring R] [AddCommMonoid M] [Module R M]
abbrev Dual :=
M →ₗ[R] R
#align module.dual Module.Dual
def dualPairing (R M) [CommSemiring R] [AddCommMonoid M] [Module R M] :
Module.Dual R M →ₗ[R] M →ₗ[R] R :=
LinearMap.id
#align module.dual_pairing Module.dualPairing
@[simp]
theorem dualPairing_apply (v x) : dualPairing R M v x = v x :=
rfl
#align module.dual_pairing_apply Module.dualPairing_apply
namespace Dual
instance : Inhabited (Dual R M) := ⟨0⟩
def eval : M →ₗ[R] Dual R (Dual R M) :=
LinearMap.flip LinearMap.id
#align module.dual.eval Module.Dual.eval
@[simp]
theorem eval_apply (v : M) (a : Dual R M) : eval R M v a = a v :=
rfl
#align module.dual.eval_apply Module.Dual.eval_apply
variable {R M} {M' : Type uM'}
variable [AddCommMonoid M'] [Module R M']
def transpose : (M →ₗ[R] M') →ₗ[R] Dual R M' →ₗ[R] Dual R M :=
(LinearMap.llcomp R M M' R).flip
#align module.dual.transpose Module.Dual.transpose
-- Porting note: with reducible def need to specify some parameters to transpose explicitly
theorem transpose_apply (u : M →ₗ[R] M') (l : Dual R M') : transpose (R := R) u l = l.comp u :=
rfl
#align module.dual.transpose_apply Module.Dual.transpose_apply
variable {M'' : Type uM''} [AddCommMonoid M''] [Module R M'']
-- Porting note: with reducible def need to specify some parameters to transpose explicitly
theorem transpose_comp (u : M' →ₗ[R] M'') (v : M →ₗ[R] M') :
transpose (R := R) (u.comp v) = (transpose (R := R) v).comp (transpose (R := R) u) :=
rfl
#align module.dual.transpose_comp Module.Dual.transpose_comp
end Dual
section Prod
variable (M' : Type uM') [AddCommMonoid M'] [Module R M']
@[simps!]
def dualProdDualEquivDual : (Module.Dual R M × Module.Dual R M') ≃ₗ[R] Module.Dual R (M × M') :=
LinearMap.coprodEquiv R
#align module.dual_prod_dual_equiv_dual Module.dualProdDualEquivDual
@[simp]
theorem dualProdDualEquivDual_apply (φ : Module.Dual R M) (ψ : Module.Dual R M') :
dualProdDualEquivDual R M M' (φ, ψ) = φ.coprod ψ :=
rfl
#align module.dual_prod_dual_equiv_dual_apply Module.dualProdDualEquivDual_apply
end Prod
end Module
namespace Basis
universe u v w
open Module Module.Dual Submodule LinearMap Cardinal Function
universe uR uM uK uV uι
variable {R : Type uR} {M : Type uM} {K : Type uK} {V : Type uV} {ι : Type uι}
section CommSemiring
variable [CommSemiring R] [AddCommMonoid M] [Module R M] [DecidableEq ι]
variable (b : Basis ι R M)
def toDual : M →ₗ[R] Module.Dual R M :=
b.constr ℕ fun v => b.constr ℕ fun w => if w = v then (1 : R) else 0
#align basis.to_dual Basis.toDual
theorem toDual_apply (i j : ι) : b.toDual (b i) (b j) = if i = j then 1 else 0 := by
erw [constr_basis b, constr_basis b]
simp only [eq_comm]
#align basis.to_dual_apply Basis.toDual_apply
@[simp]
| Mathlib/LinearAlgebra/Dual.lean | 309 | 316 | theorem toDual_total_left (f : ι →₀ R) (i : ι) :
b.toDual (Finsupp.total ι M R b f) (b i) = f i := by |
rw [Finsupp.total_apply, Finsupp.sum, _root_.map_sum, LinearMap.sum_apply]
simp_rw [LinearMap.map_smul, LinearMap.smul_apply, toDual_apply, smul_eq_mul, mul_boole,
Finset.sum_ite_eq']
split_ifs with h
· rfl
· rw [Finsupp.not_mem_support_iff.mp h]
| 0 |
import Mathlib.NumberTheory.ZetaValues
import Mathlib.NumberTheory.LSeries.RiemannZeta
open Complex Real Set
open scoped Nat
namespace HurwitzZeta
variable {k : ℕ} {x : ℝ}
theorem cosZeta_two_mul_nat (hk : k ≠ 0) (hx : x ∈ Icc 0 1) :
cosZeta x (2 * k) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k) / 2 / (2 * k)! *
((Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by
rw [← (hasSum_nat_cosZeta x (?_ : 1 < re (2 * k))).tsum_eq]
refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_cos hk hx).tsum_eq).trans ?_
· rw [ofReal_tsum]
refine tsum_congr fun n ↦ ?_
rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc,
← Nat.cast_ofNat (R := ℂ), ← Nat.cast_mul, cpow_natCast, ofReal_pow, ofReal_natCast]
· simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat,
ofReal_neg, ofReal_one]
congr 1
have : (Polynomial.bernoulli (2 * k)).map (algebraMap ℚ ℂ) = _ :=
(Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm
rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe]
apply Polynomial.map_aeval_eq_aeval_map
simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq]
· rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, natCast_re, Nat.cast_lt]
omega
| Mathlib/NumberTheory/LSeries/HurwitzZetaValues.lean | 76 | 97 | theorem sinZeta_two_mul_nat_add_one (hk : k ≠ 0) (hx : x ∈ Icc 0 1) :
sinZeta x (2 * k + 1) = (-1) ^ (k + 1) * (2 * π) ^ (2 * k + 1) / 2 / (2 * k + 1)! *
((Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ)).eval (x : ℂ) := by |
rw [← (hasSum_nat_sinZeta x (?_ : 1 < re (2 * k + 1))).tsum_eq]
refine Eq.trans ?_ <| (congr_arg ofReal' (hasSum_one_div_nat_pow_mul_sin hk hx).tsum_eq).trans ?_
· rw [ofReal_tsum]
refine tsum_congr fun n ↦ ?_
rw [mul_comm (1 / _), mul_one_div, ofReal_div, mul_assoc (2 * π), mul_comm x n, ← mul_assoc]
congr 1
rw [← Nat.cast_ofNat, ← Nat.cast_mul, ← Nat.cast_add_one, cpow_natCast, ofReal_pow,
ofReal_natCast]
· simp only [ofReal_mul, ofReal_div, ofReal_pow, ofReal_natCast, ofReal_ofNat,
ofReal_neg, ofReal_one]
congr 1
have : (Polynomial.bernoulli (2 * k + 1)).map (algebraMap ℚ ℂ) = _ :=
(Polynomial.map_map (algebraMap ℚ ℝ) ofReal _).symm
rw [this, ← ofReal_eq_coe, ← ofReal_eq_coe]
apply Polynomial.map_aeval_eq_aeval_map
simp only [Algebra.id.map_eq_id, RingHomCompTriple.comp_eq]
· rw [← Nat.cast_ofNat, ← Nat.cast_one, ← Nat.cast_mul, ← Nat.cast_add_one, natCast_re,
Nat.cast_lt, lt_add_iff_pos_left]
exact mul_pos two_pos (Nat.pos_of_ne_zero hk)
| 0 |
import Mathlib.Analysis.NormedSpace.AffineIsometry
import Mathlib.Topology.Algebra.ContinuousAffineMap
import Mathlib.Analysis.NormedSpace.OperatorNorm.NormedSpace
#align_import analysis.normed_space.continuous_affine_map from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3"
namespace ContinuousAffineMap
variable {𝕜 R V W W₂ P Q Q₂ : Type*}
variable [NormedAddCommGroup V] [MetricSpace P] [NormedAddTorsor V P]
variable [NormedAddCommGroup W] [MetricSpace Q] [NormedAddTorsor W Q]
variable [NormedAddCommGroup W₂] [MetricSpace Q₂] [NormedAddTorsor W₂ Q₂]
variable [NormedField R] [NormedSpace R V] [NormedSpace R W] [NormedSpace R W₂]
variable [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 V] [NormedSpace 𝕜 W] [NormedSpace 𝕜 W₂]
def contLinear (f : P →ᴬ[R] Q) : V →L[R] W :=
{ f.linear with
toFun := f.linear
cont := by rw [AffineMap.continuous_linear_iff]; exact f.cont }
#align continuous_affine_map.cont_linear ContinuousAffineMap.contLinear
@[simp]
theorem coe_contLinear (f : P →ᴬ[R] Q) : (f.contLinear : V → W) = f.linear :=
rfl
#align continuous_affine_map.coe_cont_linear ContinuousAffineMap.coe_contLinear
@[simp]
theorem coe_contLinear_eq_linear (f : P →ᴬ[R] Q) :
(f.contLinear : V →ₗ[R] W) = (f : P →ᵃ[R] Q).linear := by ext; rfl
#align continuous_affine_map.coe_cont_linear_eq_linear ContinuousAffineMap.coe_contLinear_eq_linear
@[simp]
theorem coe_mk_const_linear_eq_linear (f : P →ᵃ[R] Q) (h) :
((⟨f, h⟩ : P →ᴬ[R] Q).contLinear : V → W) = f.linear :=
rfl
#align continuous_affine_map.coe_mk_const_linear_eq_linear ContinuousAffineMap.coe_mk_const_linear_eq_linear
theorem coe_linear_eq_coe_contLinear (f : P →ᴬ[R] Q) :
((f : P →ᵃ[R] Q).linear : V → W) = (⇑f.contLinear : V → W) :=
rfl
#align continuous_affine_map.coe_linear_eq_coe_cont_linear ContinuousAffineMap.coe_linear_eq_coe_contLinear
@[simp]
theorem comp_contLinear (f : P →ᴬ[R] Q) (g : Q →ᴬ[R] Q₂) :
(g.comp f).contLinear = g.contLinear.comp f.contLinear :=
rfl
#align continuous_affine_map.comp_cont_linear ContinuousAffineMap.comp_contLinear
@[simp]
theorem map_vadd (f : P →ᴬ[R] Q) (p : P) (v : V) : f (v +ᵥ p) = f.contLinear v +ᵥ f p :=
f.map_vadd' p v
#align continuous_affine_map.map_vadd ContinuousAffineMap.map_vadd
@[simp]
theorem contLinear_map_vsub (f : P →ᴬ[R] Q) (p₁ p₂ : P) : f.contLinear (p₁ -ᵥ p₂) = f p₁ -ᵥ f p₂ :=
f.toAffineMap.linearMap_vsub p₁ p₂
#align continuous_affine_map.cont_linear_map_vsub ContinuousAffineMap.contLinear_map_vsub
@[simp]
theorem const_contLinear (q : Q) : (const R P q).contLinear = 0 :=
rfl
#align continuous_affine_map.const_cont_linear ContinuousAffineMap.const_contLinear
theorem contLinear_eq_zero_iff_exists_const (f : P →ᴬ[R] Q) :
f.contLinear = 0 ↔ ∃ q, f = const R P q := by
have h₁ : f.contLinear = 0 ↔ (f : P →ᵃ[R] Q).linear = 0 := by
refine ⟨fun h => ?_, fun h => ?_⟩ <;> ext
· rw [← coe_contLinear_eq_linear, h]; rfl
· rw [← coe_linear_eq_coe_contLinear, h]; rfl
have h₂ : ∀ q : Q, f = const R P q ↔ (f : P →ᵃ[R] Q) = AffineMap.const R P q := by
intro q
refine ⟨fun h => ?_, fun h => ?_⟩ <;> ext
· rw [h]; rfl
· rw [← coe_to_affineMap, h]; rfl
simp_rw [h₁, h₂]
exact (f : P →ᵃ[R] Q).linear_eq_zero_iff_exists_const
#align continuous_affine_map.cont_linear_eq_zero_iff_exists_const ContinuousAffineMap.contLinear_eq_zero_iff_exists_const
@[simp]
theorem to_affine_map_contLinear (f : V →L[R] W) : f.toContinuousAffineMap.contLinear = f := by
ext
rfl
#align continuous_affine_map.to_affine_map_cont_linear ContinuousAffineMap.to_affine_map_contLinear
@[simp]
theorem zero_contLinear : (0 : P →ᴬ[R] W).contLinear = 0 :=
rfl
#align continuous_affine_map.zero_cont_linear ContinuousAffineMap.zero_contLinear
@[simp]
theorem add_contLinear (f g : P →ᴬ[R] W) : (f + g).contLinear = f.contLinear + g.contLinear :=
rfl
#align continuous_affine_map.add_cont_linear ContinuousAffineMap.add_contLinear
@[simp]
theorem sub_contLinear (f g : P →ᴬ[R] W) : (f - g).contLinear = f.contLinear - g.contLinear :=
rfl
#align continuous_affine_map.sub_cont_linear ContinuousAffineMap.sub_contLinear
@[simp]
theorem neg_contLinear (f : P →ᴬ[R] W) : (-f).contLinear = -f.contLinear :=
rfl
#align continuous_affine_map.neg_cont_linear ContinuousAffineMap.neg_contLinear
@[simp]
theorem smul_contLinear (t : R) (f : P →ᴬ[R] W) : (t • f).contLinear = t • f.contLinear :=
rfl
#align continuous_affine_map.smul_cont_linear ContinuousAffineMap.smul_contLinear
| Mathlib/Analysis/NormedSpace/ContinuousAffineMap.lean | 148 | 151 | theorem decomp (f : V →ᴬ[R] W) : (f : V → W) = f.contLinear + Function.const V (f 0) := by |
rcases f with ⟨f, h⟩
rw [coe_mk_const_linear_eq_linear, coe_mk, f.decomp, Pi.add_apply, LinearMap.map_zero, zero_add,
← Function.const_def]
| 0 |
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Algebra.Order.Ring.Rat
import Mathlib.Data.Multiset.Sort
import Mathlib.Data.PNat.Basic
import Mathlib.Data.PNat.Interval
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.IntervalCases
#align_import number_theory.ADE_inequality from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
namespace ADEInequality
open Multiset
-- Porting note: ADE is a special name, exceptionally in upper case in Lean3
set_option linter.uppercaseLean3 false
def A' (q r : ℕ+) : Multiset ℕ+ :=
{1, q, r}
#align ADE_inequality.A' ADEInequality.A'
def A (r : ℕ+) : Multiset ℕ+ :=
A' 1 r
#align ADE_inequality.A ADEInequality.A
def D' (r : ℕ+) : Multiset ℕ+ :=
{2, 2, r}
#align ADE_inequality.D' ADEInequality.D'
def E' (r : ℕ+) : Multiset ℕ+ :=
{2, 3, r}
#align ADE_inequality.E' ADEInequality.E'
def E6 : Multiset ℕ+ :=
E' 3
#align ADE_inequality.E6 ADEInequality.E6
def E7 : Multiset ℕ+ :=
E' 4
#align ADE_inequality.E7 ADEInequality.E7
def E8 : Multiset ℕ+ :=
E' 5
#align ADE_inequality.E8 ADEInequality.E8
def sumInv (pqr : Multiset ℕ+) : ℚ :=
Multiset.sum (pqr.map fun (x : ℕ+) => x⁻¹)
#align ADE_inequality.sum_inv ADEInequality.sumInv
theorem sumInv_pqr (p q r : ℕ+) : sumInv {p, q, r} = (p : ℚ)⁻¹ + (q : ℚ)⁻¹ + (r : ℚ)⁻¹ := by
simp only [sumInv, add_zero, insert_eq_cons, add_assoc, map_cons, sum_cons,
map_singleton, sum_singleton]
#align ADE_inequality.sum_inv_pqr ADEInequality.sumInv_pqr
def Admissible (pqr : Multiset ℕ+) : Prop :=
(∃ q r, A' q r = pqr) ∨ (∃ r, D' r = pqr) ∨ E' 3 = pqr ∨ E' 4 = pqr ∨ E' 5 = pqr
#align ADE_inequality.admissible ADEInequality.Admissible
theorem admissible_A' (q r : ℕ+) : Admissible (A' q r) :=
Or.inl ⟨q, r, rfl⟩
#align ADE_inequality.admissible_A' ADEInequality.admissible_A'
theorem admissible_D' (n : ℕ+) : Admissible (D' n) :=
Or.inr <| Or.inl ⟨n, rfl⟩
#align ADE_inequality.admissible_D' ADEInequality.admissible_D'
theorem admissible_E'3 : Admissible (E' 3) :=
Or.inr <| Or.inr <| Or.inl rfl
#align ADE_inequality.admissible_E'3 ADEInequality.admissible_E'3
theorem admissible_E'4 : Admissible (E' 4) :=
Or.inr <| Or.inr <| Or.inr <| Or.inl rfl
#align ADE_inequality.admissible_E'4 ADEInequality.admissible_E'4
theorem admissible_E'5 : Admissible (E' 5) :=
Or.inr <| Or.inr <| Or.inr <| Or.inr rfl
#align ADE_inequality.admissible_E'5 ADEInequality.admissible_E'5
theorem admissible_E6 : Admissible E6 :=
admissible_E'3
#align ADE_inequality.admissible_E6 ADEInequality.admissible_E6
theorem admissible_E7 : Admissible E7 :=
admissible_E'4
#align ADE_inequality.admissible_E7 ADEInequality.admissible_E7
theorem admissible_E8 : Admissible E8 :=
admissible_E'5
#align ADE_inequality.admissible_E8 ADEInequality.admissible_E8
theorem Admissible.one_lt_sumInv {pqr : Multiset ℕ+} : Admissible pqr → 1 < sumInv pqr := by
rw [Admissible]
rintro (⟨p', q', H⟩ | ⟨n, H⟩ | H | H | H)
· rw [← H, A', sumInv_pqr, add_assoc]
simp only [lt_add_iff_pos_right, PNat.one_coe, inv_one, Nat.cast_one]
apply add_pos <;> simp only [PNat.pos, Nat.cast_pos, inv_pos]
· rw [← H, D', sumInv_pqr]
conv_rhs => simp only [OfNat.ofNat, PNat.mk_coe]
norm_num
all_goals
rw [← H, E', sumInv_pqr]
conv_rhs => simp only [OfNat.ofNat, PNat.mk_coe]
rfl
#align ADE_inequality.admissible.one_lt_sum_inv ADEInequality.Admissible.one_lt_sumInv
| Mathlib/NumberTheory/ADEInequality.lean | 175 | 195 | theorem lt_three {p q r : ℕ+} (hpq : p ≤ q) (hqr : q ≤ r) (H : 1 < sumInv {p, q, r}) : p < 3 := by |
have h3 : (0 : ℚ) < 3 := by norm_num
contrapose! H
rw [sumInv_pqr]
have h3q := H.trans hpq
have h3r := h3q.trans hqr
have hp: (p : ℚ)⁻¹ ≤ 3⁻¹ := by
rw [inv_le_inv _ h3]
· assumption_mod_cast
· norm_num
have hq: (q : ℚ)⁻¹ ≤ 3⁻¹ := by
rw [inv_le_inv _ h3]
· assumption_mod_cast
· norm_num
have hr: (r : ℚ)⁻¹ ≤ 3⁻¹ := by
rw [inv_le_inv _ h3]
· assumption_mod_cast
· norm_num
calc
(p : ℚ)⁻¹ + (q : ℚ)⁻¹ + (r : ℚ)⁻¹ ≤ 3⁻¹ + 3⁻¹ + 3⁻¹ := add_le_add (add_le_add hp hq) hr
_ = 1 := by norm_num
| 0 |
import Mathlib.Topology.EMetricSpace.Paracompact
import Mathlib.Topology.Instances.ENNReal
import Mathlib.Analysis.Convex.PartitionOfUnity
#align_import topology.metric_space.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Topology ENNReal NNReal Filter Set Function TopologicalSpace
variable {ι X : Type*}
namespace EMetric
variable [EMetricSpace X] {K : ι → Set X} {U : ι → Set X}
| Mathlib/Topology/MetricSpace/PartitionOfUnity.lean | 42 | 61 | theorem eventually_nhds_zero_forall_closedBall_subset (hK : ∀ i, IsClosed (K i))
(hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) :
∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, ∀ i, p.2 ∈ K i → closedBall p.2 p.1 ⊆ U i := by |
suffices ∀ i, x ∈ K i → ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, closedBall p.2 p.1 ⊆ U i by
apply mp_mem ((eventually_all_finite (hfin.point_finite x)).2 this)
(mp_mem (@tendsto_snd ℝ≥0∞ _ (𝓝 0) _ _ (hfin.iInter_compl_mem_nhds hK x)) _)
apply univ_mem'
rintro ⟨r, y⟩ hxy hyU i hi
simp only [mem_iInter, mem_compl_iff, not_imp_not, mem_preimage] at hxy
exact hyU _ (hxy _ hi)
intro i hi
rcases nhds_basis_closed_eball.mem_iff.1 ((hU i).mem_nhds <| hKU i hi) with ⟨R, hR₀, hR⟩
rcases ENNReal.lt_iff_exists_nnreal_btwn.mp hR₀ with ⟨r, hr₀, hrR⟩
filter_upwards [prod_mem_prod (eventually_lt_nhds hr₀)
(closedBall_mem_nhds x (tsub_pos_iff_lt.2 hrR))] with p hp z hz
apply hR
calc
edist z x ≤ edist z p.2 + edist p.2 x := edist_triangle _ _ _
_ ≤ p.1 + (R - p.1) := add_le_add hz <| le_trans hp.2 <| tsub_le_tsub_left hp.1.out.le _
_ = R := add_tsub_cancel_of_le (lt_trans (by exact hp.1) hrR).le
| 0 |
import Mathlib.Topology.LocalAtTarget
import Mathlib.AlgebraicGeometry.Morphisms.Basic
#align_import algebraic_geometry.morphisms.open_immersion from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace
universe u
namespace AlgebraicGeometry
variable {X Y Z : Scheme.{u}} (f : X ⟶ Y) (g : Y ⟶ Z)
theorem isOpenImmersion_iff_stalk {f : X ⟶ Y} : IsOpenImmersion f ↔
OpenEmbedding f.1.base ∧ ∀ x, IsIso (PresheafedSpace.stalkMap f.1 x) := by
constructor
· intro h; exact ⟨h.1, inferInstance⟩
· rintro ⟨h₁, h₂⟩; exact IsOpenImmersion.of_stalk_iso f h₁
#align algebraic_geometry.is_open_immersion_iff_stalk AlgebraicGeometry.isOpenImmersion_iff_stalk
instance isOpenImmersion_isStableUnderComposition :
MorphismProperty.IsStableUnderComposition @IsOpenImmersion where
comp_mem f g _ _ := LocallyRingedSpace.IsOpenImmersion.comp f g
#align algebraic_geometry.is_open_immersion_stable_under_composition AlgebraicGeometry.isOpenImmersion_isStableUnderComposition
theorem isOpenImmersion_respectsIso : MorphismProperty.RespectsIso @IsOpenImmersion := by
apply MorphismProperty.respectsIso_of_isStableUnderComposition
intro _ _ f (hf : IsIso f)
have : IsIso f := hf
infer_instance
#align algebraic_geometry.is_open_immersion_respects_iso AlgebraicGeometry.isOpenImmersion_respectsIso
| Mathlib/AlgebraicGeometry/Morphisms/OpenImmersion.lean | 53 | 74 | theorem isOpenImmersion_is_local_at_target : PropertyIsLocalAtTarget @IsOpenImmersion := by |
constructor
· exact isOpenImmersion_respectsIso
· intros; infer_instance
· intro X Y f 𝒰 H
rw [isOpenImmersion_iff_stalk]
constructor
· apply (openEmbedding_iff_openEmbedding_of_iSup_eq_top 𝒰.iSup_opensRange f.1.base.2).mpr
intro i
have := ((isOpenImmersion_respectsIso.arrow_iso_iff
(morphismRestrictOpensRange f (𝒰.map i))).mpr (H i)).1
erw [Arrow.mk_hom, morphismRestrict_val_base] at this
norm_cast
· intro x
have := Arrow.iso_w (morphismRestrictStalkMap
f (Scheme.Hom.opensRange (𝒰.map <| 𝒰.f <| f.1.base x)) ⟨x, 𝒰.Covers _⟩)
dsimp only [Arrow.mk_hom] at this
rw [this]
haveI : IsOpenImmersion (f ∣_ Scheme.Hom.opensRange (𝒰.map <| 𝒰.f <| f.1.base x)) :=
(isOpenImmersion_respectsIso.arrow_iso_iff
(morphismRestrictOpensRange f (𝒰.map _))).mpr (H _)
infer_instance
| 0 |
import Batteries.Data.RBMap.WF
namespace Batteries
namespace RBNode
open RBColor
attribute [simp] Path.fill
def OnRoot (p : α → Prop) : RBNode α → Prop
| nil => True
| node _ _ x _ => p x
namespace Path
@[inline] def fill' : RBNode α × Path α → RBNode α := fun (t, path) => path.fill t
| .lake/packages/batteries/Batteries/Data/RBMap/Alter.lean | 34 | 38 | theorem zoom_fill' (cut : α → Ordering) (t : RBNode α) (path : Path α) :
fill' (zoom cut t path) = path.fill t := by |
induction t generalizing path with
| nil => rfl
| node _ _ _ _ iha ihb => unfold zoom; split <;> [apply iha; apply ihb; rfl]
| 0 |
import Mathlib.Analysis.Calculus.FDeriv.Prod
#align_import analysis.calculus.fderiv.bilinear from "leanprover-community/mathlib"@"e3fb84046afd187b710170887195d50bada934ee"
open Filter Asymptotics ContinuousLinearMap Set Metric
open scoped Classical
open Topology NNReal Asymptotics ENNReal
noncomputable section
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {G' : Type*} [NormedAddCommGroup G'] [NormedSpace 𝕜 G']
variable {f f₀ f₁ g : E → F}
variable {f' f₀' f₁' g' : E →L[𝕜] F}
variable (e : E →L[𝕜] F)
variable {x : E}
variable {s t : Set E}
variable {L L₁ L₂ : Filter E}
section BilinearMap
variable {b : E × F → G} {u : Set (E × F)}
open NormedField
-- Porting note (#11215): TODO: rewrite/golf using analytic functions?
@[fun_prop]
| Mathlib/Analysis/Calculus/FDeriv/Bilinear.lean | 51 | 74 | theorem IsBoundedBilinearMap.hasStrictFDerivAt (h : IsBoundedBilinearMap 𝕜 b) (p : E × F) :
HasStrictFDerivAt b (h.deriv p) p := by |
simp only [HasStrictFDerivAt]
simp only [← map_add_left_nhds_zero (p, p), isLittleO_map]
set T := (E × F) × E × F
calc
_ = fun x ↦ h.deriv (x.1 - x.2) (x.2.1, x.1.2) := by
ext ⟨⟨x₁, y₁⟩, ⟨x₂, y₂⟩⟩
rcases p with ⟨x, y⟩
simp only [map_sub, deriv_apply, Function.comp_apply, Prod.mk_add_mk, h.add_right, h.add_left,
Prod.mk_sub_mk, h.map_sub_left, h.map_sub_right, sub_add_sub_cancel]
abel
-- _ =O[𝓝 (0 : T)] fun x ↦ ‖x.1 - x.2‖ * ‖(x.2.1, x.1.2)‖ :=
-- h.toContinuousLinearMap.deriv₂.isBoundedBilinearMap.isBigO_comp
-- _ = o[𝓝 0] fun x ↦ ‖x.1 - x.2‖ * 1 := _
_ =o[𝓝 (0 : T)] fun x ↦ x.1 - x.2 := by
-- TODO : add 2 `calc` steps instead of the next 3 lines
refine h.toContinuousLinearMap.deriv₂.isBoundedBilinearMap.isBigO_comp.trans_isLittleO ?_
suffices (fun x : T ↦ ‖x.1 - x.2‖ * ‖(x.2.1, x.1.2)‖) =o[𝓝 0] fun x ↦ ‖x.1 - x.2‖ * 1 by
simpa only [mul_one, isLittleO_norm_right] using this
refine (isBigO_refl _ _).mul_isLittleO ((isLittleO_one_iff _).2 ?_)
-- TODO: `continuity` fails
exact (continuous_snd.fst.prod_mk continuous_fst.snd).norm.tendsto' _ _ (by simp)
_ = _ := by simp [(· ∘ ·)]
| 0 |
import Mathlib.Tactic.ApplyFun
import Mathlib.Topology.UniformSpace.Basic
import Mathlib.Topology.Separation
#align_import topology.uniform_space.separation from "leanprover-community/mathlib"@"0c1f285a9f6e608ae2bdffa3f993eafb01eba829"
open Filter Set Function Topology Uniformity UniformSpace
open scoped Classical
noncomputable section
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
variable [UniformSpace α] [UniformSpace β] [UniformSpace γ]
instance (priority := 100) UniformSpace.to_regularSpace : RegularSpace α :=
.of_hasBasis
(fun _ ↦ nhds_basis_uniformity' uniformity_hasBasis_closed)
fun a _V hV ↦ isClosed_ball a hV.2
#align uniform_space.to_regular_space UniformSpace.to_regularSpace
#align separation_rel Inseparable
#noalign separated_equiv
#align separation_rel_iff_specializes specializes_iff_inseparable
#noalign separation_rel_iff_inseparable
theorem Filter.HasBasis.specializes_iff_uniformity {ι : Sort*} {p : ι → Prop} {s : ι → Set (α × α)}
(h : (𝓤 α).HasBasis p s) {x y : α} : x ⤳ y ↔ ∀ i, p i → (x, y) ∈ s i :=
(nhds_basis_uniformity h).specializes_iff
theorem Filter.HasBasis.inseparable_iff_uniformity {ι : Sort*} {p : ι → Prop} {s : ι → Set (α × α)}
(h : (𝓤 α).HasBasis p s) {x y : α} : Inseparable x y ↔ ∀ i, p i → (x, y) ∈ s i :=
specializes_iff_inseparable.symm.trans h.specializes_iff_uniformity
#align filter.has_basis.mem_separation_rel Filter.HasBasis.inseparable_iff_uniformity
theorem inseparable_iff_ker_uniformity {x y : α} : Inseparable x y ↔ (x, y) ∈ (𝓤 α).ker :=
(𝓤 α).basis_sets.inseparable_iff_uniformity
protected theorem Inseparable.nhds_le_uniformity {x y : α} (h : Inseparable x y) :
𝓝 (x, y) ≤ 𝓤 α := by
rw [h.prod rfl]
apply nhds_le_uniformity
theorem inseparable_iff_clusterPt_uniformity {x y : α} :
Inseparable x y ↔ ClusterPt (x, y) (𝓤 α) := by
refine ⟨fun h ↦ .of_nhds_le h.nhds_le_uniformity, fun h ↦ ?_⟩
simp_rw [uniformity_hasBasis_closed.inseparable_iff_uniformity, isClosed_iff_clusterPt]
exact fun U ⟨hU, hUc⟩ ↦ hUc _ <| h.mono <| le_principal_iff.2 hU
#align separated_space T0Space
theorem t0Space_iff_uniformity :
T0Space α ↔ ∀ x y, (∀ r ∈ 𝓤 α, (x, y) ∈ r) → x = y := by
simp only [t0Space_iff_inseparable, inseparable_iff_ker_uniformity, mem_ker, id]
#align separated_def t0Space_iff_uniformity
theorem t0Space_iff_uniformity' :
T0Space α ↔ Pairwise fun x y ↦ ∃ r ∈ 𝓤 α, (x, y) ∉ r := by
simp [t0Space_iff_not_inseparable, inseparable_iff_ker_uniformity]
#align separated_def' t0Space_iff_uniformity'
theorem t0Space_iff_ker_uniformity : T0Space α ↔ (𝓤 α).ker = diagonal α := by
simp_rw [t0Space_iff_uniformity, subset_antisymm_iff, diagonal_subset_iff, subset_def,
Prod.forall, Filter.mem_ker, mem_diagonal_iff, iff_self_and]
exact fun _ x s hs ↦ refl_mem_uniformity hs
#align separated_space_iff t0Space_iff_ker_uniformity
theorem eq_of_uniformity {α : Type*} [UniformSpace α] [T0Space α] {x y : α}
(h : ∀ {V}, V ∈ 𝓤 α → (x, y) ∈ V) : x = y :=
t0Space_iff_uniformity.mp ‹T0Space α› x y @h
#align eq_of_uniformity eq_of_uniformity
theorem eq_of_uniformity_basis {α : Type*} [UniformSpace α] [T0Space α] {ι : Sort*}
{p : ι → Prop} {s : ι → Set (α × α)} (hs : (𝓤 α).HasBasis p s) {x y : α}
(h : ∀ {i}, p i → (x, y) ∈ s i) : x = y :=
(hs.inseparable_iff_uniformity.2 @h).eq
#align eq_of_uniformity_basis eq_of_uniformity_basis
theorem eq_of_forall_symmetric {α : Type*} [UniformSpace α] [T0Space α] {x y : α}
(h : ∀ {V}, V ∈ 𝓤 α → SymmetricRel V → (x, y) ∈ V) : x = y :=
eq_of_uniformity_basis hasBasis_symmetric (by simpa)
#align eq_of_forall_symmetric eq_of_forall_symmetric
theorem eq_of_clusterPt_uniformity [T0Space α] {x y : α} (h : ClusterPt (x, y) (𝓤 α)) : x = y :=
(inseparable_iff_clusterPt_uniformity.2 h).eq
#align eq_of_cluster_pt_uniformity eq_of_clusterPt_uniformity
| Mathlib/Topology/UniformSpace/Separation.lean | 186 | 191 | theorem Filter.Tendsto.inseparable_iff_uniformity {l : Filter β} [NeBot l] {f g : β → α} {a b : α}
(ha : Tendsto f l (𝓝 a)) (hb : Tendsto g l (𝓝 b)) :
Inseparable a b ↔ Tendsto (fun x ↦ (f x, g x)) l (𝓤 α) := by |
refine ⟨fun h ↦ (ha.prod_mk_nhds hb).mono_right h.nhds_le_uniformity, fun h ↦ ?_⟩
rw [inseparable_iff_clusterPt_uniformity]
exact (ClusterPt.of_le_nhds (ha.prod_mk_nhds hb)).mono h
| 0 |
import Mathlib.RingTheory.AdjoinRoot
import Mathlib.FieldTheory.Minpoly.Field
import Mathlib.RingTheory.Polynomial.GaussLemma
#align_import field_theory.minpoly.is_integrally_closed from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open scoped Classical Polynomial
open Polynomial Set Function minpoly
namespace minpoly
variable {R S : Type*} [CommRing R] [CommRing S] [IsDomain R] [Algebra R S]
section
variable (K L : Type*) [Field K] [Algebra R K] [IsFractionRing R K] [CommRing L] [Nontrivial L]
[Algebra R L] [Algebra S L] [Algebra K L] [IsScalarTower R K L] [IsScalarTower R S L]
variable [IsIntegrallyClosed R]
theorem isIntegrallyClosed_eq_field_fractions [IsDomain S] {s : S} (hs : IsIntegral R s) :
minpoly K (algebraMap S L s) = (minpoly R s).map (algebraMap R K) := by
refine (eq_of_irreducible_of_monic ?_ ?_ ?_).symm
· exact ((monic hs).irreducible_iff_irreducible_map_fraction_map).1 (irreducible hs)
· rw [aeval_map_algebraMap, aeval_algebraMap_apply, aeval, map_zero]
· exact (monic hs).map _
#align minpoly.is_integrally_closed_eq_field_fractions minpoly.isIntegrallyClosed_eq_field_fractions
theorem isIntegrallyClosed_eq_field_fractions' [IsDomain S] [Algebra K S] [IsScalarTower R K S]
{s : S} (hs : IsIntegral R s) : minpoly K s = (minpoly R s).map (algebraMap R K) := by
let L := FractionRing S
rw [← isIntegrallyClosed_eq_field_fractions K L hs, algebraMap_eq (IsFractionRing.injective S L)]
#align minpoly.is_integrally_closed_eq_field_fractions' minpoly.isIntegrallyClosed_eq_field_fractions'
end
variable [IsDomain S] [NoZeroSMulDivisors R S]
variable [IsIntegrallyClosed R]
theorem isIntegrallyClosed_dvd {s : S} (hs : IsIntegral R s) {p : R[X]}
(hp : Polynomial.aeval s p = 0) : minpoly R s ∣ p := by
let K := FractionRing R
let L := FractionRing S
let _ : Algebra K L := FractionRing.liftAlgebra R L
have := FractionRing.isScalarTower_liftAlgebra R L
have : minpoly K (algebraMap S L s) ∣ map (algebraMap R K) (p %ₘ minpoly R s) := by
rw [map_modByMonic _ (minpoly.monic hs), modByMonic_eq_sub_mul_div]
· refine dvd_sub (minpoly.dvd K (algebraMap S L s) ?_) ?_
· rw [← map_aeval_eq_aeval_map, hp, map_zero]
rw [← IsScalarTower.algebraMap_eq, ← IsScalarTower.algebraMap_eq]
apply dvd_mul_of_dvd_left
rw [isIntegrallyClosed_eq_field_fractions K L hs]
exact Monic.map _ (minpoly.monic hs)
rw [isIntegrallyClosed_eq_field_fractions _ _ hs,
map_dvd_map (algebraMap R K) (IsFractionRing.injective R K) (minpoly.monic hs)] at this
rw [← modByMonic_eq_zero_iff_dvd (minpoly.monic hs)]
exact Polynomial.eq_zero_of_dvd_of_degree_lt this (degree_modByMonic_lt p <| minpoly.monic hs)
#align minpoly.is_integrally_closed_dvd minpoly.isIntegrallyClosed_dvd
theorem isIntegrallyClosed_dvd_iff {s : S} (hs : IsIntegral R s) (p : R[X]) :
Polynomial.aeval s p = 0 ↔ minpoly R s ∣ p :=
⟨fun hp => isIntegrallyClosed_dvd hs hp, fun hp => by
simpa only [RingHom.mem_ker, RingHom.coe_comp, coe_evalRingHom, coe_mapRingHom,
Function.comp_apply, eval_map, ← aeval_def] using
aeval_eq_zero_of_dvd_aeval_eq_zero hp (minpoly.aeval R s)⟩
#align minpoly.is_integrally_closed_dvd_iff minpoly.isIntegrallyClosed_dvd_iff
theorem ker_eval {s : S} (hs : IsIntegral R s) :
RingHom.ker ((Polynomial.aeval s).toRingHom : R[X] →+* S) =
Ideal.span ({minpoly R s} : Set R[X]) := by
ext p
simp_rw [RingHom.mem_ker, AlgHom.toRingHom_eq_coe, AlgHom.coe_toRingHom,
isIntegrallyClosed_dvd_iff hs, ← Ideal.mem_span_singleton]
#align minpoly.ker_eval minpoly.ker_eval
theorem IsIntegrallyClosed.degree_le_of_ne_zero {s : S} (hs : IsIntegral R s) {p : R[X]}
(hp0 : p ≠ 0) (hp : Polynomial.aeval s p = 0) : degree (minpoly R s) ≤ degree p := by
rw [degree_eq_natDegree (minpoly.ne_zero hs), degree_eq_natDegree hp0]
norm_cast
exact natDegree_le_of_dvd ((isIntegrallyClosed_dvd_iff hs _).mp hp) hp0
#align minpoly.is_integrally_closed.degree_le_of_ne_zero minpoly.IsIntegrallyClosed.degree_le_of_ne_zero
| Mathlib/FieldTheory/Minpoly/IsIntegrallyClosed.lean | 125 | 135 | theorem _root_.IsIntegrallyClosed.minpoly.unique {s : S} {P : R[X]} (hmo : P.Monic)
(hP : Polynomial.aeval s P = 0)
(Pmin : ∀ Q : R[X], Q.Monic → Polynomial.aeval s Q = 0 → degree P ≤ degree Q) :
P = minpoly R s := by |
have hs : IsIntegral R s := ⟨P, hmo, hP⟩
symm; apply eq_of_sub_eq_zero
by_contra hnz
refine IsIntegrallyClosed.degree_le_of_ne_zero hs hnz (by simp [hP]) |>.not_lt ?_
refine degree_sub_lt ?_ (ne_zero hs) ?_
· exact le_antisymm (min R s hmo hP) (Pmin (minpoly R s) (monic hs) (aeval R s))
· rw [(monic hs).leadingCoeff, hmo.leadingCoeff]
| 0 |
import Batteries.Data.HashMap.Basic
import Batteries.Data.Array.Lemmas
import Batteries.Data.Nat.Lemmas
namespace Batteries.HashMap
namespace Imp
attribute [-simp] Bool.not_eq_true
namespace Buckets
@[ext] protected theorem ext : ∀ {b₁ b₂ : Buckets α β}, b₁.1.data = b₂.1.data → b₁ = b₂
| ⟨⟨_⟩, _⟩, ⟨⟨_⟩, _⟩, rfl => rfl
theorem update_data (self : Buckets α β) (i d h) :
(self.update i d h).1.data = self.1.data.set i.toNat d := rfl
| .lake/packages/batteries/Batteries/Data/HashMap/WF.lean | 23 | 27 | theorem exists_of_update (self : Buckets α β) (i d h) :
∃ l₁ l₂, self.1.data = l₁ ++ self.1[i] :: l₂ ∧ List.length l₁ = i.toNat ∧
(self.update i d h).1.data = l₁ ++ d :: l₂ := by |
simp only [Array.data_length, Array.ugetElem_eq_getElem, Array.getElem_eq_data_get]
exact List.exists_of_set' h
| 0 |
import Mathlib.Analysis.Analytic.Basic
import Mathlib.Analysis.Analytic.Composition
import Mathlib.Analysis.Analytic.Linear
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Geometry.Manifold.ChartedSpace
import Mathlib.Analysis.NormedSpace.FiniteDimension
import Mathlib.Analysis.Calculus.ContDiff.Basic
#align_import geometry.manifold.smooth_manifold_with_corners from "leanprover-community/mathlib"@"ddec54a71a0dd025c05445d467f1a2b7d586a3ba"
noncomputable section
universe u v w u' v' w'
open Set Filter Function
open scoped Manifold Filter Topology
scoped[Manifold] notation "∞" => (⊤ : ℕ∞)
@[ext] -- Porting note(#5171): was nolint has_nonempty_instance
structure ModelWithCorners (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*)
[NormedAddCommGroup E] [NormedSpace 𝕜 E] (H : Type*) [TopologicalSpace H] extends
PartialEquiv H E where
source_eq : source = univ
unique_diff' : UniqueDiffOn 𝕜 toPartialEquiv.target
continuous_toFun : Continuous toFun := by continuity
continuous_invFun : Continuous invFun := by continuity
#align model_with_corners ModelWithCorners
attribute [simp, mfld_simps] ModelWithCorners.source_eq
def modelWithCornersSelf (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*)
[NormedAddCommGroup E] [NormedSpace 𝕜 E] : ModelWithCorners 𝕜 E E where
toPartialEquiv := PartialEquiv.refl E
source_eq := rfl
unique_diff' := uniqueDiffOn_univ
continuous_toFun := continuous_id
continuous_invFun := continuous_id
#align model_with_corners_self modelWithCornersSelf
@[inherit_doc] scoped[Manifold] notation "𝓘(" 𝕜 ", " E ")" => modelWithCornersSelf 𝕜 E
scoped[Manifold] notation "𝓘(" 𝕜 ")" => modelWithCornersSelf 𝕜 𝕜
section
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H)
namespace ModelWithCorners
@[coe] def toFun' (e : ModelWithCorners 𝕜 E H) : H → E := e.toFun
instance : CoeFun (ModelWithCorners 𝕜 E H) fun _ => H → E := ⟨toFun'⟩
protected def symm : PartialEquiv E H :=
I.toPartialEquiv.symm
#align model_with_corners.symm ModelWithCorners.symm
def Simps.apply (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*) [NormedAddCommGroup E]
[NormedSpace 𝕜 E] (H : Type*) [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) : H → E :=
I
#align model_with_corners.simps.apply ModelWithCorners.Simps.apply
def Simps.symm_apply (𝕜 : Type*) [NontriviallyNormedField 𝕜] (E : Type*) [NormedAddCommGroup E]
[NormedSpace 𝕜 E] (H : Type*) [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) : E → H :=
I.symm
#align model_with_corners.simps.symm_apply ModelWithCorners.Simps.symm_apply
initialize_simps_projections ModelWithCorners (toFun → apply, invFun → symm_apply)
-- Register a few lemmas to make sure that `simp` puts expressions in normal form
@[simp, mfld_simps]
theorem toPartialEquiv_coe : (I.toPartialEquiv : H → E) = I :=
rfl
#align model_with_corners.to_local_equiv_coe ModelWithCorners.toPartialEquiv_coe
@[simp, mfld_simps]
theorem mk_coe (e : PartialEquiv H E) (a b c d) :
((ModelWithCorners.mk e a b c d : ModelWithCorners 𝕜 E H) : H → E) = (e : H → E) :=
rfl
#align model_with_corners.mk_coe ModelWithCorners.mk_coe
@[simp, mfld_simps]
theorem toPartialEquiv_coe_symm : (I.toPartialEquiv.symm : E → H) = I.symm :=
rfl
#align model_with_corners.to_local_equiv_coe_symm ModelWithCorners.toPartialEquiv_coe_symm
@[simp, mfld_simps]
theorem mk_symm (e : PartialEquiv H E) (a b c d) :
(ModelWithCorners.mk e a b c d : ModelWithCorners 𝕜 E H).symm = e.symm :=
rfl
#align model_with_corners.mk_symm ModelWithCorners.mk_symm
@[continuity]
protected theorem continuous : Continuous I :=
I.continuous_toFun
#align model_with_corners.continuous ModelWithCorners.continuous
protected theorem continuousAt {x} : ContinuousAt I x :=
I.continuous.continuousAt
#align model_with_corners.continuous_at ModelWithCorners.continuousAt
protected theorem continuousWithinAt {s x} : ContinuousWithinAt I s x :=
I.continuousAt.continuousWithinAt
#align model_with_corners.continuous_within_at ModelWithCorners.continuousWithinAt
@[continuity]
theorem continuous_symm : Continuous I.symm :=
I.continuous_invFun
#align model_with_corners.continuous_symm ModelWithCorners.continuous_symm
theorem continuousAt_symm {x} : ContinuousAt I.symm x :=
I.continuous_symm.continuousAt
#align model_with_corners.continuous_at_symm ModelWithCorners.continuousAt_symm
theorem continuousWithinAt_symm {s x} : ContinuousWithinAt I.symm s x :=
I.continuous_symm.continuousWithinAt
#align model_with_corners.continuous_within_at_symm ModelWithCorners.continuousWithinAt_symm
theorem continuousOn_symm {s} : ContinuousOn I.symm s :=
I.continuous_symm.continuousOn
#align model_with_corners.continuous_on_symm ModelWithCorners.continuousOn_symm
@[simp, mfld_simps]
| Mathlib/Geometry/Manifold/SmoothManifoldWithCorners.lean | 256 | 258 | theorem target_eq : I.target = range (I : H → E) := by |
rw [← image_univ, ← I.source_eq]
exact I.image_source_eq_target.symm
| 0 |
import Mathlib.MeasureTheory.Group.GeometryOfNumbers
import Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls
import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.Basic
#align_import number_theory.number_field.canonical_embedding from "leanprover-community/mathlib"@"60da01b41bbe4206f05d34fd70c8dd7498717a30"
variable (K : Type*) [Field K]
namespace NumberField.mixedEmbedding
open NumberField NumberField.InfinitePlace FiniteDimensional
local notation "E" K =>
({w : InfinitePlace K // IsReal w} → ℝ) × ({w : InfinitePlace K // IsComplex w} → ℂ)
section convexBodyLT'
open Metric ENNReal NNReal
open scoped Classical
variable (f : InfinitePlace K → ℝ≥0) (w₀ : {w : InfinitePlace K // IsComplex w})
abbrev convexBodyLT' : Set (E K) :=
(Set.univ.pi (fun w : { w : InfinitePlace K // IsReal w } ↦ ball 0 (f w))) ×ˢ
(Set.univ.pi (fun w : { w : InfinitePlace K // IsComplex w } ↦
if w = w₀ then {x | |x.re| < 1 ∧ |x.im| < (f w : ℝ) ^ 2} else ball 0 (f w)))
theorem convexBodyLT'_mem {x : K} :
mixedEmbedding K x ∈ convexBodyLT' K f w₀ ↔
(∀ w : InfinitePlace K, w ≠ w₀ → w x < f w) ∧
|(w₀.val.embedding x).re| < 1 ∧ |(w₀.val.embedding x).im| < (f w₀: ℝ) ^ 2 := by
simp_rw [mixedEmbedding, RingHom.prod_apply, Set.mem_prod, Set.mem_pi, Set.mem_univ,
forall_true_left, Pi.ringHom_apply, apply_ite, mem_ball_zero_iff, ← Complex.norm_real,
embedding_of_isReal_apply, norm_embedding_eq, Subtype.forall, Set.mem_setOf_eq]
refine ⟨fun ⟨h₁, h₂⟩ ↦ ⟨fun w h_ne ↦ ?_, ?_⟩, fun ⟨h₁, h₂⟩ ↦ ⟨fun w hw ↦ ?_, fun w hw ↦ ?_⟩⟩
· by_cases hw : IsReal w
· exact norm_embedding_eq w _ ▸ h₁ w hw
· specialize h₂ w (not_isReal_iff_isComplex.mp hw)
rwa [if_neg (by exact Subtype.coe_ne_coe.1 h_ne)] at h₂
· simpa [if_true] using h₂ w₀.val w₀.prop
· exact h₁ w (ne_of_isReal_isComplex hw w₀.prop)
· by_cases h_ne : w = w₀
· simpa [h_ne]
· rw [if_neg (by exact Subtype.coe_ne_coe.1 h_ne)]
exact h₁ w h_ne
theorem convexBodyLT'_neg_mem (x : E K) (hx : x ∈ convexBodyLT' K f w₀) :
-x ∈ convexBodyLT' K f w₀ := by
simp [Set.mem_prod, Prod.fst_neg, Set.mem_pi, Set.mem_univ, Pi.neg_apply,
mem_ball_zero_iff, norm_neg, Real.norm_eq_abs, forall_true_left, Subtype.forall,
Prod.snd_neg, Complex.norm_eq_abs] at hx ⊢
convert hx using 3
split_ifs <;> simp
theorem convexBodyLT'_convex : Convex ℝ (convexBodyLT' K f w₀) := by
refine Convex.prod (convex_pi (fun _ _ => convex_ball _ _)) (convex_pi (fun _ _ => ?_))
split_ifs
· simp_rw [abs_lt]
refine Convex.inter ((convex_halfspace_re_gt _).inter (convex_halfspace_re_lt _))
((convex_halfspace_im_gt _).inter (convex_halfspace_im_lt _))
· exact convex_ball _ _
open MeasureTheory MeasureTheory.Measure
open scoped Classical
variable [NumberField K]
noncomputable abbrev convexBodyLT'Factor : ℝ≥0 :=
(2 : ℝ≥0) ^ (NrRealPlaces K + 2) * NNReal.pi ^ (NrComplexPlaces K - 1)
theorem convexBodyLT'Factor_ne_zero : convexBodyLT'Factor K ≠ 0 :=
mul_ne_zero (pow_ne_zero _ two_ne_zero) (pow_ne_zero _ pi_ne_zero)
theorem one_le_convexBodyLT'Factor : 1 ≤ convexBodyLT'Factor K :=
one_le_mul₀ (one_le_pow_of_one_le one_le_two _)
(one_le_pow_of_one_le (le_trans one_le_two Real.two_le_pi) _)
| Mathlib/NumberTheory/NumberField/CanonicalEmbedding/ConvexBody.lean | 221 | 266 | theorem convexBodyLT'_volume :
volume (convexBodyLT' K f w₀) = convexBodyLT'Factor K * ∏ w, (f w) ^ (mult w) := by |
have vol_box : ∀ B : ℝ≥0, volume {x : ℂ | |x.re| < 1 ∧ |x.im| < B^2} = 4*B^2 := by
intro B
rw [← (Complex.volume_preserving_equiv_real_prod.symm).measure_preimage]
· simp_rw [Set.preimage_setOf_eq, Complex.measurableEquivRealProd_symm_apply]
rw [show {a : ℝ × ℝ | |a.1| < 1 ∧ |a.2| < B ^ 2} =
Set.Ioo (-1:ℝ) (1:ℝ) ×ˢ Set.Ioo (- (B:ℝ) ^ 2) ((B:ℝ) ^ 2) by
ext; simp_rw [Set.mem_setOf_eq, Set.mem_prod, Set.mem_Ioo, abs_lt]]
simp_rw [volume_eq_prod, prod_prod, Real.volume_Ioo, sub_neg_eq_add, one_add_one_eq_two,
← two_mul, ofReal_mul zero_le_two, ofReal_pow (coe_nonneg B), ofReal_ofNat,
ofReal_coe_nnreal, ← mul_assoc, show (2:ℝ≥0∞) * 2 = 4 by norm_num]
· refine MeasurableSet.inter ?_ ?_
· exact measurableSet_lt (measurable_norm.comp Complex.measurable_re) measurable_const
· exact measurableSet_lt (measurable_norm.comp Complex.measurable_im) measurable_const
calc
_ = (∏ x : {w // InfinitePlace.IsReal w}, ENNReal.ofReal (2 * (f x.val))) *
((∏ x ∈ Finset.univ.erase w₀, ENNReal.ofReal (f x.val) ^ 2 * pi) *
(4 * (f w₀) ^ 2)) := by
simp_rw [volume_eq_prod, prod_prod, volume_pi, pi_pi, Real.volume_ball]
rw [← Finset.prod_erase_mul _ _ (Finset.mem_univ w₀)]
congr 2
· refine Finset.prod_congr rfl (fun w' hw' ↦ ?_)
rw [if_neg (Finset.ne_of_mem_erase hw'), Complex.volume_ball]
· simpa only [ite_true] using vol_box (f w₀)
_ = ((2 : ℝ≥0) ^ NrRealPlaces K *
(∏ x : {w // InfinitePlace.IsReal w}, ENNReal.ofReal (f x.val))) *
((∏ x ∈ Finset.univ.erase w₀, ENNReal.ofReal (f x.val) ^ 2) *
↑pi ^ (NrComplexPlaces K - 1) * (4 * (f w₀) ^ 2)) := by
simp_rw [ofReal_mul (by norm_num : 0 ≤ (2 : ℝ)), Finset.prod_mul_distrib, Finset.prod_const,
Finset.card_erase_of_mem (Finset.mem_univ _), Finset.card_univ, ofReal_ofNat,
ofReal_coe_nnreal, coe_ofNat]
_ = convexBodyLT'Factor K * (∏ x : {w // InfinitePlace.IsReal w}, ENNReal.ofReal (f x.val))
* (∏ x : {w // IsComplex w}, ENNReal.ofReal (f x.val) ^ 2) := by
rw [show (4 : ℝ≥0∞) = (2 : ℝ≥0) ^ 2 by norm_num, convexBodyLT'Factor, pow_add,
← Finset.prod_erase_mul _ _ (Finset.mem_univ w₀), ofReal_coe_nnreal]
simp_rw [coe_mul, ENNReal.coe_pow]
ring
_ = convexBodyLT'Factor K * ∏ w, (f w) ^ (mult w) := by
simp_rw [mult, pow_ite, pow_one, Finset.prod_ite, ofReal_coe_nnreal, not_isReal_iff_isComplex,
coe_mul, coe_finset_prod, ENNReal.coe_pow, mul_assoc]
congr 3
· refine (Finset.prod_subtype (Finset.univ.filter _) ?_ (fun w => (f w : ℝ≥0∞))).symm
exact fun _ => by simp only [Finset.mem_univ, forall_true_left, Finset.mem_filter, true_and]
· refine (Finset.prod_subtype (Finset.univ.filter _) ?_ (fun w => (f w : ℝ≥0∞) ^ 2)).symm
exact fun _ => by simp only [Finset.mem_univ, forall_true_left, Finset.mem_filter, true_and]
| 0 |
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.Mul
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctions.Pow.NNReal
#align_import analysis.mean_inequalities_pow from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f"
universe u v
open Finset
open scoped Classical
open NNReal ENNReal
noncomputable section
variable {ι : Type u} (s : Finset ι)
namespace Real
theorem pow_arith_mean_le_arith_mean_pow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i)
(hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (n : ℕ) :
(∑ i ∈ s, w i * z i) ^ n ≤ ∑ i ∈ s, w i * z i ^ n :=
(convexOn_pow n).map_sum_le hw hw' hz
#align real.pow_arith_mean_le_arith_mean_pow Real.pow_arith_mean_le_arith_mean_pow
theorem pow_arith_mean_le_arith_mean_pow_of_even (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i)
(hw' : ∑ i ∈ s, w i = 1) {n : ℕ} (hn : Even n) :
(∑ i ∈ s, w i * z i) ^ n ≤ ∑ i ∈ s, w i * z i ^ n :=
hn.convexOn_pow.map_sum_le hw hw' fun _ _ => Set.mem_univ _
#align real.pow_arith_mean_le_arith_mean_pow_of_even Real.pow_arith_mean_le_arith_mean_pow_of_even
| Mathlib/Analysis/MeanInequalitiesPow.lean | 72 | 86 | theorem pow_sum_div_card_le_sum_pow {f : ι → ℝ} (n : ℕ) (hf : ∀ a ∈ s, 0 ≤ f a) :
(∑ x ∈ s, f x) ^ (n + 1) / (s.card : ℝ) ^ n ≤ ∑ x ∈ s, f x ^ (n + 1) := by |
rcases s.eq_empty_or_nonempty with (rfl | hs)
· simp_rw [Finset.sum_empty, zero_pow n.succ_ne_zero, zero_div]; rfl
· have hs0 : 0 < (s.card : ℝ) := Nat.cast_pos.2 hs.card_pos
suffices (∑ x ∈ s, f x / s.card) ^ (n + 1) ≤ ∑ x ∈ s, f x ^ (n + 1) / s.card by
rwa [← Finset.sum_div, ← Finset.sum_div, div_pow, pow_succ (s.card : ℝ), ← div_div,
div_le_iff hs0, div_mul, div_self hs0.ne', div_one] at this
have :=
@ConvexOn.map_sum_le ℝ ℝ ℝ ι _ _ _ _ _ _ (Set.Ici 0) (fun x => x ^ (n + 1)) s
(fun _ => 1 / s.card) ((↑) ∘ f) (convexOn_pow (n + 1)) ?_ ?_ fun i hi =>
Set.mem_Ici.2 (hf i hi)
· simpa only [inv_mul_eq_div, one_div, Algebra.id.smul_eq_mul] using this
· simp only [one_div, inv_nonneg, Nat.cast_nonneg, imp_true_iff]
· simpa only [one_div, Finset.sum_const, nsmul_eq_mul] using mul_inv_cancel hs0.ne'
| 0 |
import Mathlib.Algebra.GCDMonoid.Basic
import Mathlib.Data.Multiset.FinsetOps
import Mathlib.Data.Multiset.Fold
#align_import algebra.gcd_monoid.multiset from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
namespace Multiset
variable {α : Type*} [CancelCommMonoidWithZero α] [NormalizedGCDMonoid α]
section gcd
def gcd (s : Multiset α) : α :=
s.fold GCDMonoid.gcd 0
#align multiset.gcd Multiset.gcd
@[simp]
theorem gcd_zero : (0 : Multiset α).gcd = 0 :=
fold_zero _ _
#align multiset.gcd_zero Multiset.gcd_zero
@[simp]
theorem gcd_cons (a : α) (s : Multiset α) : (a ::ₘ s).gcd = GCDMonoid.gcd a s.gcd :=
fold_cons_left _ _ _ _
#align multiset.gcd_cons Multiset.gcd_cons
@[simp]
theorem gcd_singleton {a : α} : ({a} : Multiset α).gcd = normalize a :=
(fold_singleton _ _ _).trans <| gcd_zero_right _
#align multiset.gcd_singleton Multiset.gcd_singleton
@[simp]
theorem gcd_add (s₁ s₂ : Multiset α) : (s₁ + s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd :=
Eq.trans (by simp [gcd]) (fold_add _ _ _ _ _)
#align multiset.gcd_add Multiset.gcd_add
theorem dvd_gcd {s : Multiset α} {a : α} : a ∣ s.gcd ↔ ∀ b ∈ s, a ∣ b :=
Multiset.induction_on s (by simp)
(by simp (config := { contextual := true }) [or_imp, forall_and, dvd_gcd_iff])
#align multiset.dvd_gcd Multiset.dvd_gcd
theorem gcd_dvd {s : Multiset α} {a : α} (h : a ∈ s) : s.gcd ∣ a :=
dvd_gcd.1 dvd_rfl _ h
#align multiset.gcd_dvd Multiset.gcd_dvd
theorem gcd_mono {s₁ s₂ : Multiset α} (h : s₁ ⊆ s₂) : s₂.gcd ∣ s₁.gcd :=
dvd_gcd.2 fun _ hb ↦ gcd_dvd (h hb)
#align multiset.gcd_mono Multiset.gcd_mono
@[simp 1100]
theorem normalize_gcd (s : Multiset α) : normalize s.gcd = s.gcd :=
Multiset.induction_on s (by simp) fun a s _ ↦ by simp
#align multiset.normalize_gcd Multiset.normalize_gcd
theorem gcd_eq_zero_iff (s : Multiset α) : s.gcd = 0 ↔ ∀ x : α, x ∈ s → x = 0 := by
constructor
· intro h x hx
apply eq_zero_of_zero_dvd
rw [← h]
apply gcd_dvd hx
· refine s.induction_on ?_ ?_
· simp
intro a s sgcd h
simp [h a (mem_cons_self a s), sgcd fun x hx ↦ h x (mem_cons_of_mem hx)]
#align multiset.gcd_eq_zero_iff Multiset.gcd_eq_zero_iff
theorem gcd_map_mul (a : α) (s : Multiset α) : (s.map (a * ·)).gcd = normalize a * s.gcd := by
refine s.induction_on ?_ fun b s ih ↦ ?_
· simp_rw [map_zero, gcd_zero, mul_zero]
· simp_rw [map_cons, gcd_cons, ← gcd_mul_left]
rw [ih]
apply ((normalize_associated a).mul_right _).gcd_eq_right
#align multiset.gcd_map_mul Multiset.gcd_map_mul
section
variable [DecidableEq α]
@[simp]
theorem gcd_dedup (s : Multiset α) : (dedup s).gcd = s.gcd :=
Multiset.induction_on s (by simp) fun a s IH ↦ by
by_cases h : a ∈ s <;> simp [IH, h]
unfold gcd
rw [← cons_erase h, fold_cons_left, ← gcd_assoc, gcd_same]
apply (associated_normalize _).gcd_eq_left
#align multiset.gcd_dedup Multiset.gcd_dedup
@[simp]
theorem gcd_ndunion (s₁ s₂ : Multiset α) : (ndunion s₁ s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := by
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add]
simp
#align multiset.gcd_ndunion Multiset.gcd_ndunion
@[simp]
theorem gcd_union (s₁ s₂ : Multiset α) : (s₁ ∪ s₂).gcd = GCDMonoid.gcd s₁.gcd s₂.gcd := by
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_add]
simp
#align multiset.gcd_union Multiset.gcd_union
@[simp]
theorem gcd_ndinsert (a : α) (s : Multiset α) : (ndinsert a s).gcd = GCDMonoid.gcd a s.gcd := by
rw [← gcd_dedup, dedup_ext.2, gcd_dedup, gcd_cons]
simp
#align multiset.gcd_ndinsert Multiset.gcd_ndinsert
end
theorem extract_gcd' (s t : Multiset α) (hs : ∃ x, x ∈ s ∧ x ≠ (0 : α))
(ht : s = t.map (s.gcd * ·)) : t.gcd = 1 :=
((@mul_right_eq_self₀ _ _ s.gcd _).1 <| by
conv_lhs => rw [← normalize_gcd, ← gcd_map_mul, ← ht]).resolve_right <| by
contrapose! hs
exact s.gcd_eq_zero_iff.1 hs
#align multiset.extract_gcd' Multiset.extract_gcd'
| Mathlib/Algebra/GCDMonoid/Multiset.lean | 240 | 254 | theorem extract_gcd (s : Multiset α) (hs : s ≠ 0) :
∃ t : Multiset α, s = t.map (s.gcd * ·) ∧ t.gcd = 1 := by |
classical
by_cases h : ∀ x ∈ s, x = (0 : α)
· use replicate (card s) 1
rw [map_replicate, eq_replicate, mul_one, s.gcd_eq_zero_iff.2 h, ← nsmul_singleton,
← gcd_dedup, dedup_nsmul (card_pos.2 hs).ne', dedup_singleton, gcd_singleton]
exact ⟨⟨rfl, h⟩, normalize_one⟩
· choose f hf using @gcd_dvd _ _ _ s
push_neg at h
refine ⟨s.pmap @f fun _ ↦ id, ?_, extract_gcd' s _ h ?_⟩ <;>
· rw [map_pmap]
conv_lhs => rw [← s.map_id, ← s.pmap_eq_map _ _ fun _ ↦ id]
congr with (x hx)
rw [id, ← hf hx]
| 0 |
import Mathlib.Analysis.SpecialFunctions.Integrals
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
import Mathlib.MeasureTheory.Integral.Layercake
#align_import analysis.special_functions.japanese_bracket from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped NNReal Filter Topology ENNReal
open Asymptotics Filter Set Real MeasureTheory FiniteDimensional
variable {E : Type*} [NormedAddCommGroup E]
theorem sqrt_one_add_norm_sq_le (x : E) : √((1 : ℝ) + ‖x‖ ^ 2) ≤ 1 + ‖x‖ := by
rw [sqrt_le_left (by positivity)]
simp [add_sq]
#align sqrt_one_add_norm_sq_le sqrt_one_add_norm_sq_le
theorem one_add_norm_le_sqrt_two_mul_sqrt (x : E) :
(1 : ℝ) + ‖x‖ ≤ √2 * √(1 + ‖x‖ ^ 2) := by
rw [← sqrt_mul zero_le_two]
have := sq_nonneg (‖x‖ - 1)
apply le_sqrt_of_sq_le
linarith
#align one_add_norm_le_sqrt_two_mul_sqrt one_add_norm_le_sqrt_two_mul_sqrt
theorem rpow_neg_one_add_norm_sq_le {r : ℝ} (x : E) (hr : 0 < r) :
((1 : ℝ) + ‖x‖ ^ 2) ^ (-r / 2) ≤ (2 : ℝ) ^ (r / 2) * (1 + ‖x‖) ^ (-r) :=
calc
((1 : ℝ) + ‖x‖ ^ 2) ^ (-r / 2)
= (2 : ℝ) ^ (r / 2) * ((√2 * √((1 : ℝ) + ‖x‖ ^ 2)) ^ r)⁻¹ := by
rw [rpow_div_two_eq_sqrt, rpow_div_two_eq_sqrt, mul_rpow, mul_inv, rpow_neg,
mul_inv_cancel_left₀] <;> positivity
_ ≤ (2 : ℝ) ^ (r / 2) * ((1 + ‖x‖) ^ r)⁻¹ := by
gcongr
apply one_add_norm_le_sqrt_two_mul_sqrt
_ = (2 : ℝ) ^ (r / 2) * (1 + ‖x‖) ^ (-r) := by rw [rpow_neg]; positivity
#align rpow_neg_one_add_norm_sq_le rpow_neg_one_add_norm_sq_le
theorem le_rpow_one_add_norm_iff_norm_le {r t : ℝ} (hr : 0 < r) (ht : 0 < t) (x : E) :
t ≤ (1 + ‖x‖) ^ (-r) ↔ ‖x‖ ≤ t ^ (-r⁻¹) - 1 := by
rw [le_sub_iff_add_le', neg_inv]
exact (Real.le_rpow_inv_iff_of_neg (by positivity) ht (neg_lt_zero.mpr hr)).symm
#align le_rpow_one_add_norm_iff_norm_le le_rpow_one_add_norm_iff_norm_le
variable (E)
theorem closedBall_rpow_sub_one_eq_empty_aux {r t : ℝ} (hr : 0 < r) (ht : 1 < t) :
Metric.closedBall (0 : E) (t ^ (-r⁻¹) - 1) = ∅ := by
rw [Metric.closedBall_eq_empty, sub_neg]
exact Real.rpow_lt_one_of_one_lt_of_neg ht (by simp only [hr, Right.neg_neg_iff, inv_pos])
#align closed_ball_rpow_sub_one_eq_empty_aux closedBall_rpow_sub_one_eq_empty_aux
variable [NormedSpace ℝ E] [FiniteDimensional ℝ E]
variable {E}
| Mathlib/Analysis/SpecialFunctions/JapaneseBracket.lean | 79 | 95 | theorem finite_integral_rpow_sub_one_pow_aux {r : ℝ} (n : ℕ) (hnr : (n : ℝ) < r) :
(∫⁻ x : ℝ in Ioc 0 1, ENNReal.ofReal ((x ^ (-r⁻¹) - 1) ^ n)) < ∞ := by |
have hr : 0 < r := lt_of_le_of_lt n.cast_nonneg hnr
have h_int : ∀ x : ℝ, x ∈ Ioc (0 : ℝ) 1 →
ENNReal.ofReal ((x ^ (-r⁻¹) - 1) ^ n) ≤ ENNReal.ofReal (x ^ (-(r⁻¹ * n))) := fun x hx ↦ by
apply ENNReal.ofReal_le_ofReal
rw [← neg_mul, rpow_mul hx.1.le, rpow_natCast]
refine pow_le_pow_left ?_ (by simp only [sub_le_self_iff, zero_le_one]) n
rw [le_sub_iff_add_le', add_zero]
refine Real.one_le_rpow_of_pos_of_le_one_of_nonpos hx.1 hx.2 ?_
rw [Right.neg_nonpos_iff, inv_nonneg]
exact hr.le
refine lt_of_le_of_lt (set_lintegral_mono' measurableSet_Ioc h_int) ?_
refine IntegrableOn.set_lintegral_lt_top ?_
rw [← intervalIntegrable_iff_integrableOn_Ioc_of_le zero_le_one]
apply intervalIntegral.intervalIntegrable_rpow'
rwa [neg_lt_neg_iff, inv_mul_lt_iff' hr, one_mul]
| 0 |
import Mathlib.Data.Finset.Image
import Mathlib.Data.Multiset.Pi
#align_import data.finset.pi from "leanprover-community/mathlib"@"b2c89893177f66a48daf993b7ba5ef7cddeff8c9"
namespace Finset
open Multiset
section Pi
variable {α : Type*}
def Pi.empty (β : α → Sort*) (a : α) (h : a ∈ (∅ : Finset α)) : β a :=
Multiset.Pi.empty β a h
#align finset.pi.empty Finset.Pi.empty
universe u v
variable {β : α → Type u} {δ : α → Sort v} [DecidableEq α] {s : Finset α} {t : ∀ a, Finset (β a)}
def pi (s : Finset α) (t : ∀ a, Finset (β a)) : Finset (∀ a ∈ s, β a) :=
⟨s.1.pi fun a => (t a).1, s.nodup.pi fun a _ => (t a).nodup⟩
#align finset.pi Finset.pi
@[simp]
theorem pi_val (s : Finset α) (t : ∀ a, Finset (β a)) : (s.pi t).1 = s.1.pi fun a => (t a).1 :=
rfl
#align finset.pi_val Finset.pi_val
@[simp]
theorem mem_pi {s : Finset α} {t : ∀ a, Finset (β a)} {f : ∀ a ∈ s, β a} :
f ∈ s.pi t ↔ ∀ (a) (h : a ∈ s), f a h ∈ t a :=
Multiset.mem_pi _ _ _
#align finset.mem_pi Finset.mem_pi
def Pi.cons (s : Finset α) (a : α) (b : δ a) (f : ∀ a, a ∈ s → δ a) (a' : α) (h : a' ∈ insert a s) :
δ a' :=
Multiset.Pi.cons s.1 a b f _ (Multiset.mem_cons.2 <| mem_insert.symm.2 h)
#align finset.pi.cons Finset.Pi.cons
@[simp]
theorem Pi.cons_same (s : Finset α) (a : α) (b : δ a) (f : ∀ a, a ∈ s → δ a) (h : a ∈ insert a s) :
Pi.cons s a b f a h = b :=
Multiset.Pi.cons_same _
#align finset.pi.cons_same Finset.Pi.cons_same
theorem Pi.cons_ne {s : Finset α} {a a' : α} {b : δ a} {f : ∀ a, a ∈ s → δ a} {h : a' ∈ insert a s}
(ha : a ≠ a') : Pi.cons s a b f a' h = f a' ((mem_insert.1 h).resolve_left ha.symm) :=
Multiset.Pi.cons_ne _ (Ne.symm ha)
#align finset.pi.cons_ne Finset.Pi.cons_ne
theorem Pi.cons_injective {a : α} {b : δ a} {s : Finset α} (hs : a ∉ s) :
Function.Injective (Pi.cons s a b) := fun e₁ e₂ eq =>
@Multiset.Pi.cons_injective α _ δ a b s.1 hs _ _ <|
funext fun e =>
funext fun h =>
have :
Pi.cons s a b e₁ e (by simpa only [Multiset.mem_cons, mem_insert] using h) =
Pi.cons s a b e₂ e (by simpa only [Multiset.mem_cons, mem_insert] using h) := by
rw [eq]
this
#align finset.pi.cons_injective Finset.Pi.cons_injective
@[simp]
theorem pi_empty {t : ∀ a : α, Finset (β a)} : pi (∅ : Finset α) t = singleton (Pi.empty β) :=
rfl
#align finset.pi_empty Finset.pi_empty
@[simp, aesop safe apply (rule_sets := [finsetNonempty])]
lemma pi_nonempty : (s.pi t).Nonempty ↔ ∀ a ∈ s, (t a).Nonempty := by
simp [Finset.Nonempty, Classical.skolem]
@[simp]
| Mathlib/Data/Finset/Pi.lean | 96 | 112 | theorem pi_insert [∀ a, DecidableEq (β a)] {s : Finset α} {t : ∀ a : α, Finset (β a)} {a : α}
(ha : a ∉ s) : pi (insert a s) t = (t a).biUnion fun b => (pi s t).image (Pi.cons s a b) := by |
apply eq_of_veq
rw [← (pi (insert a s) t).2.dedup]
refine
(fun s' (h : s' = a ::ₘ s.1) =>
(?_ :
dedup (Multiset.pi s' fun a => (t a).1) =
dedup
((t a).1.bind fun b =>
dedup <|
(Multiset.pi s.1 fun a : α => (t a).val).map fun f a' h' =>
Multiset.Pi.cons s.1 a b f a' (h ▸ h'))))
_ (insert_val_of_not_mem ha)
subst s'; rw [pi_cons]
congr; funext b
exact ((pi s t).nodup.map <| Multiset.Pi.cons_injective ha).dedup.symm
| 0 |
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Derivative
import Mathlib.Data.Nat.Choose.Cast
import Mathlib.NumberTheory.Bernoulli
#align_import number_theory.bernoulli_polynomials from "leanprover-community/mathlib"@"ca3d21f7f4fd613c2a3c54ac7871163e1e5ecb3a"
noncomputable section
open Nat Polynomial
open Nat Finset
namespace Polynomial
def bernoulli (n : ℕ) : ℚ[X] :=
∑ i ∈ range (n + 1), Polynomial.monomial (n - i) (_root_.bernoulli i * choose n i)
#align polynomial.bernoulli Polynomial.bernoulli
theorem bernoulli_def (n : ℕ) : bernoulli n =
∑ i ∈ range (n + 1), Polynomial.monomial i (_root_.bernoulli (n - i) * choose n i) := by
rw [← sum_range_reflect, add_succ_sub_one, add_zero, bernoulli]
apply sum_congr rfl
rintro x hx
rw [mem_range_succ_iff] at hx
rw [choose_symm hx, tsub_tsub_cancel_of_le hx]
#align polynomial.bernoulli_def Polynomial.bernoulli_def
section Examples
@[simp]
theorem bernoulli_zero : bernoulli 0 = 1 := by simp [bernoulli]
#align polynomial.bernoulli_zero Polynomial.bernoulli_zero
@[simp]
theorem bernoulli_eval_zero (n : ℕ) : (bernoulli n).eval 0 = _root_.bernoulli n := by
rw [bernoulli, eval_finset_sum, sum_range_succ]
have : ∑ x ∈ range n, _root_.bernoulli x * n.choose x * 0 ^ (n - x) = 0 := by
apply sum_eq_zero fun x hx => _
intros x hx
simp [tsub_eq_zero_iff_le, mem_range.1 hx]
simp [this]
#align polynomial.bernoulli_eval_zero Polynomial.bernoulli_eval_zero
@[simp]
| Mathlib/NumberTheory/BernoulliPolynomials.lean | 86 | 92 | theorem bernoulli_eval_one (n : ℕ) : (bernoulli n).eval 1 = bernoulli' n := by |
simp only [bernoulli, eval_finset_sum]
simp only [← succ_eq_add_one, sum_range_succ, mul_one, cast_one, choose_self,
(_root_.bernoulli _).mul_comm, sum_bernoulli, one_pow, mul_one, eval_C, eval_monomial, one_mul]
by_cases h : n = 1
· norm_num [h]
· simp [h, bernoulli_eq_bernoulli'_of_ne_one h]
| 0 |
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure
import Mathlib.RingTheory.IntegralDomain
#align_import field_theory.primitive_element from "leanprover-community/mathlib"@"df76f43357840485b9d04ed5dee5ab115d420e87"
noncomputable section
open scoped Classical Polynomial
open FiniteDimensional Polynomial IntermediateField
namespace Field
variable (F E : Type*) [Field F] [Field E]
variable [Algebra F E]
section FiniteIntermediateField
-- TODO: show a more generalized result: [F⟮α⟯ : F⟮α ^ m⟯] = m if m > 0 and α transcendental.
| Mathlib/FieldTheory/PrimitiveElement.lean | 246 | 275 | theorem isAlgebraic_of_adjoin_eq_adjoin {α : E} {m n : ℕ} (hneq : m ≠ n)
(heq : F⟮α ^ m⟯ = F⟮α ^ n⟯) : IsAlgebraic F α := by |
wlog hmn : m < n
· exact this F E hneq.symm heq.symm (hneq.lt_or_lt.resolve_left hmn)
by_cases hm : m = 0
· rw [hm] at heq hmn
simp only [pow_zero, adjoin_one] at heq
obtain ⟨y, h⟩ := mem_bot.1 (heq.symm ▸ mem_adjoin_simple_self F (α ^ n))
refine ⟨X ^ n - C y, X_pow_sub_C_ne_zero hmn y, ?_⟩
simp only [map_sub, map_pow, aeval_X, aeval_C, h, sub_self]
obtain ⟨r, s, h⟩ := (mem_adjoin_simple_iff F _).1 (heq ▸ mem_adjoin_simple_self F (α ^ m))
by_cases hzero : aeval (α ^ n) s = 0
· simp only [hzero, div_zero, pow_eq_zero_iff hm] at h
exact h.symm ▸ isAlgebraic_zero
replace hm : 0 < m := Nat.pos_of_ne_zero hm
rw [eq_div_iff hzero, ← sub_eq_zero] at h
replace hzero : s ≠ 0 := by rintro rfl; simp only [map_zero, not_true_eq_false] at hzero
let f : F[X] := X ^ m * expand F n s - expand F n r
refine ⟨f, ?_, ?_⟩
· have : f.coeff (n * s.natDegree + m) ≠ 0 := by
have hn : 0 < n := by linarith only [hm, hmn]
have hndvd : ¬ n ∣ n * s.natDegree + m := by
rw [← Nat.dvd_add_iff_right (n.dvd_mul_right s.natDegree)]
exact Nat.not_dvd_of_pos_of_lt hm hmn
simp only [f, coeff_sub, coeff_X_pow_mul, s.coeff_expand_mul' hn, coeff_natDegree,
coeff_expand hn r, hndvd, ite_false, sub_zero]
exact leadingCoeff_ne_zero.2 hzero
intro h
simp only [h, coeff_zero, ne_eq, not_true_eq_false] at this
· simp only [f, map_sub, map_mul, map_pow, aeval_X, expand_aeval, h]
| 0 |
import Mathlib.Analysis.InnerProductSpace.Rayleigh
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Algebra.DirectSum.Decomposition
import Mathlib.LinearAlgebra.Eigenspace.Minpoly
#align_import analysis.inner_product_space.spectrum from "leanprover-community/mathlib"@"6b0169218d01f2837d79ea2784882009a0da1aa1"
variable {𝕜 : Type*} [RCLike 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace 𝕜 E]
local notation "⟪" x ", " y "⟫" => @inner 𝕜 E _ x y
open scoped ComplexConjugate
open Module.End
namespace LinearMap
namespace IsSymmetric
variable {T : E →ₗ[𝕜] E} (hT : T.IsSymmetric)
theorem invariant_orthogonalComplement_eigenspace (μ : 𝕜) (v : E) (hv : v ∈ (eigenspace T μ)ᗮ) :
T v ∈ (eigenspace T μ)ᗮ := by
intro w hw
have : T w = (μ : 𝕜) • w := by rwa [mem_eigenspace_iff] at hw
simp [← hT w, this, inner_smul_left, hv w hw]
#align linear_map.is_symmetric.invariant_orthogonal_eigenspace LinearMap.IsSymmetric.invariant_orthogonalComplement_eigenspace
theorem conj_eigenvalue_eq_self {μ : 𝕜} (hμ : HasEigenvalue T μ) : conj μ = μ := by
obtain ⟨v, hv₁, hv₂⟩ := hμ.exists_hasEigenvector
rw [mem_eigenspace_iff] at hv₁
simpa [hv₂, inner_smul_left, inner_smul_right, hv₁] using hT v v
#align linear_map.is_symmetric.conj_eigenvalue_eq_self LinearMap.IsSymmetric.conj_eigenvalue_eq_self
| Mathlib/Analysis/InnerProductSpace/Spectrum.lean | 83 | 91 | theorem orthogonalFamily_eigenspaces :
OrthogonalFamily 𝕜 (fun μ => eigenspace T μ) fun μ => (eigenspace T μ).subtypeₗᵢ := by |
rintro μ ν hμν ⟨v, hv⟩ ⟨w, hw⟩
by_cases hv' : v = 0
· simp [hv']
have H := hT.conj_eigenvalue_eq_self (hasEigenvalue_of_hasEigenvector ⟨hv, hv'⟩)
rw [mem_eigenspace_iff] at hv hw
refine Or.resolve_left ?_ hμν.symm
simpa [inner_smul_left, inner_smul_right, hv, hw, H] using (hT v w).symm
| 0 |
import Mathlib.LinearAlgebra.AffineSpace.Independent
import Mathlib.LinearAlgebra.Basis
#align_import linear_algebra.affine_space.basis from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
open Affine
open Set
universe u₁ u₂ u₃ u₄
structure AffineBasis (ι : Type u₁) (k : Type u₂) {V : Type u₃} (P : Type u₄) [AddCommGroup V]
[AffineSpace V P] [Ring k] [Module k V] where
protected toFun : ι → P
protected ind' : AffineIndependent k toFun
protected tot' : affineSpan k (range toFun) = ⊤
#align affine_basis AffineBasis
variable {ι ι' k V P : Type*} [AddCommGroup V] [AffineSpace V P]
namespace AffineBasis
section Ring
variable [Ring k] [Module k V] (b : AffineBasis ι k P) {s : Finset ι} {i j : ι} (e : ι ≃ ι')
instance : Inhabited (AffineBasis PUnit k PUnit) :=
⟨⟨id, affineIndependent_of_subsingleton k id, by simp⟩⟩
instance instFunLike : FunLike (AffineBasis ι k P) ι P where
coe := AffineBasis.toFun
coe_injective' f g h := by cases f; cases g; congr
#align affine_basis.fun_like AffineBasis.instFunLike
@[ext]
theorem ext {b₁ b₂ : AffineBasis ι k P} (h : (b₁ : ι → P) = b₂) : b₁ = b₂ :=
DFunLike.coe_injective h
#align affine_basis.ext AffineBasis.ext
theorem ind : AffineIndependent k b :=
b.ind'
#align affine_basis.ind AffineBasis.ind
theorem tot : affineSpan k (range b) = ⊤ :=
b.tot'
#align affine_basis.tot AffineBasis.tot
protected theorem nonempty : Nonempty ι :=
not_isEmpty_iff.mp fun hι => by
simpa only [@range_eq_empty _ _ hι, AffineSubspace.span_empty, bot_ne_top] using b.tot
#align affine_basis.nonempty AffineBasis.nonempty
def reindex (e : ι ≃ ι') : AffineBasis ι' k P :=
⟨b ∘ e.symm, b.ind.comp_embedding e.symm.toEmbedding, by
rw [e.symm.surjective.range_comp]
exact b.3⟩
#align affine_basis.reindex AffineBasis.reindex
@[simp, norm_cast]
theorem coe_reindex : ⇑(b.reindex e) = b ∘ e.symm :=
rfl
#align affine_basis.coe_reindex AffineBasis.coe_reindex
@[simp]
theorem reindex_apply (i' : ι') : b.reindex e i' = b (e.symm i') :=
rfl
#align affine_basis.reindex_apply AffineBasis.reindex_apply
@[simp]
theorem reindex_refl : b.reindex (Equiv.refl _) = b :=
ext rfl
#align affine_basis.reindex_refl AffineBasis.reindex_refl
noncomputable def basisOf (i : ι) : Basis { j : ι // j ≠ i } k V :=
Basis.mk ((affineIndependent_iff_linearIndependent_vsub k b i).mp b.ind)
(by
suffices
Submodule.span k (range fun j : { x // x ≠ i } => b ↑j -ᵥ b i) = vectorSpan k (range b) by
rw [this, ← direction_affineSpan, b.tot, AffineSubspace.direction_top]
conv_rhs => rw [← image_univ]
rw [vectorSpan_image_eq_span_vsub_set_right_ne k b (mem_univ i)]
congr
ext v
simp)
#align affine_basis.basis_of AffineBasis.basisOf
@[simp]
theorem basisOf_apply (i : ι) (j : { j : ι // j ≠ i }) : b.basisOf i j = b ↑j -ᵥ b i := by
simp [basisOf]
#align affine_basis.basis_of_apply AffineBasis.basisOf_apply
@[simp]
theorem basisOf_reindex (i : ι') :
(b.reindex e).basisOf i =
(b.basisOf <| e.symm i).reindex (e.subtypeEquiv fun _ => e.eq_symm_apply.not) := by
ext j
simp
#align affine_basis.basis_of_reindex AffineBasis.basisOf_reindex
noncomputable def coord (i : ι) : P →ᵃ[k] k where
toFun q := 1 - (b.basisOf i).sumCoords (q -ᵥ b i)
linear := -(b.basisOf i).sumCoords
map_vadd' q v := by
dsimp only
rw [vadd_vsub_assoc, LinearMap.map_add, vadd_eq_add, LinearMap.neg_apply,
sub_add_eq_sub_sub_swap, add_comm, sub_eq_add_neg]
#align affine_basis.coord AffineBasis.coord
@[simp]
theorem linear_eq_sumCoords (i : ι) : (b.coord i).linear = -(b.basisOf i).sumCoords :=
rfl
#align affine_basis.linear_eq_sum_coords AffineBasis.linear_eq_sumCoords
@[simp]
theorem coord_reindex (i : ι') : (b.reindex e).coord i = b.coord (e.symm i) := by
ext
classical simp [AffineBasis.coord]
#align affine_basis.coord_reindex AffineBasis.coord_reindex
@[simp]
theorem coord_apply_eq (i : ι) : b.coord i (b i) = 1 := by
simp only [coord, Basis.coe_sumCoords, LinearEquiv.map_zero, LinearEquiv.coe_coe, sub_zero,
AffineMap.coe_mk, Finsupp.sum_zero_index, vsub_self]
#align affine_basis.coord_apply_eq AffineBasis.coord_apply_eq
@[simp]
| Mathlib/LinearAlgebra/AffineSpace/Basis.lean | 174 | 179 | theorem coord_apply_ne (h : i ≠ j) : b.coord i (b j) = 0 := by |
-- Porting note:
-- in mathlib3 we didn't need to given the `fun j => j ≠ i` argument to `Subtype.coe_mk`,
-- but I don't think we can complain: this proof was over-golfed.
rw [coord, AffineMap.coe_mk, ← @Subtype.coe_mk _ (fun j => j ≠ i) j h.symm, ← b.basisOf_apply,
Basis.sumCoords_self_apply, sub_self]
| 0 |
import Mathlib.AlgebraicGeometry.Morphisms.Basic
import Mathlib.Topology.Spectral.Hom
import Mathlib.AlgebraicGeometry.Limits
#align_import algebraic_geometry.morphisms.quasi_compact from "leanprover-community/mathlib"@"5dc6092d09e5e489106865241986f7f2ad28d4c8"
noncomputable section
open CategoryTheory CategoryTheory.Limits Opposite TopologicalSpace
universe u
open scoped AlgebraicGeometry
namespace AlgebraicGeometry
variable {X Y : Scheme.{u}} (f : X ⟶ Y)
@[mk_iff]
class QuasiCompact (f : X ⟶ Y) : Prop where
isCompact_preimage : ∀ U : Set Y.carrier, IsOpen U → IsCompact U → IsCompact (f.1.base ⁻¹' U)
#align algebraic_geometry.quasi_compact AlgebraicGeometry.QuasiCompact
theorem quasiCompact_iff_spectral : QuasiCompact f ↔ IsSpectralMap f.1.base :=
⟨fun ⟨h⟩ => ⟨by continuity, h⟩, fun h => ⟨h.2⟩⟩
#align algebraic_geometry.quasi_compact_iff_spectral AlgebraicGeometry.quasiCompact_iff_spectral
def QuasiCompact.affineProperty : AffineTargetMorphismProperty := fun X _ _ _ =>
CompactSpace X.carrier
#align algebraic_geometry.quasi_compact.affine_property AlgebraicGeometry.QuasiCompact.affineProperty
instance (priority := 900) quasiCompactOfIsIso {X Y : Scheme} (f : X ⟶ Y) [IsIso f] :
QuasiCompact f := by
constructor
intro U _ hU'
convert hU'.image (inv f.1.base).continuous_toFun using 1
rw [Set.image_eq_preimage_of_inverse]
· delta Function.LeftInverse
exact IsIso.inv_hom_id_apply f.1.base
· exact IsIso.hom_inv_id_apply f.1.base
#align algebraic_geometry.quasi_compact_of_is_iso AlgebraicGeometry.quasiCompactOfIsIso
instance quasiCompactComp {X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [QuasiCompact f]
[QuasiCompact g] : QuasiCompact (f ≫ g) := by
constructor
intro U hU hU'
rw [Scheme.comp_val_base, TopCat.coe_comp, Set.preimage_comp]
apply QuasiCompact.isCompact_preimage
· exact Continuous.isOpen_preimage (by
-- Porting note: `continuity` failed
-- see https://github.com/leanprover-community/mathlib4/issues/5030
exact Scheme.Hom.continuous g) _ hU
apply QuasiCompact.isCompact_preimage <;> assumption
#align algebraic_geometry.quasi_compact_comp AlgebraicGeometry.quasiCompactComp
theorem isCompact_open_iff_eq_finset_affine_union {X : Scheme} (U : Set X.carrier) :
IsCompact U ∧ IsOpen U ↔
∃ s : Set X.affineOpens, s.Finite ∧ U = ⋃ (i : X.affineOpens) (_ : i ∈ s), i := by
apply Opens.IsBasis.isCompact_open_iff_eq_finite_iUnion
(fun (U : X.affineOpens) => (U : Opens X.carrier))
· rw [Subtype.range_coe]; exact isBasis_affine_open X
· exact fun i => i.2.isCompact
#align algebraic_geometry.is_compact_open_iff_eq_finset_affine_union AlgebraicGeometry.isCompact_open_iff_eq_finset_affine_union
theorem isCompact_open_iff_eq_basicOpen_union {X : Scheme} [IsAffine X] (U : Set X.carrier) :
IsCompact U ∧ IsOpen U ↔
∃ s : Set (X.presheaf.obj (op ⊤)),
s.Finite ∧ U = ⋃ (i : X.presheaf.obj (op ⊤)) (_ : i ∈ s), X.basicOpen i :=
(isBasis_basicOpen X).isCompact_open_iff_eq_finite_iUnion _
(fun _ => ((topIsAffineOpen _).basicOpenIsAffine _).isCompact) _
#align algebraic_geometry.is_compact_open_iff_eq_basic_open_union AlgebraicGeometry.isCompact_open_iff_eq_basicOpen_union
theorem quasiCompact_iff_forall_affine :
QuasiCompact f ↔
∀ U : Opens Y.carrier, IsAffineOpen U → IsCompact (f.1.base ⁻¹' (U : Set Y.carrier)) := by
rw [quasiCompact_iff]
refine ⟨fun H U hU => H U U.isOpen hU.isCompact, ?_⟩
intro H U hU hU'
obtain ⟨S, hS, rfl⟩ := (isCompact_open_iff_eq_finset_affine_union U).mp ⟨hU', hU⟩
simp only [Set.preimage_iUnion]
exact Set.Finite.isCompact_biUnion hS (fun i _ => H i i.prop)
#align algebraic_geometry.quasi_compact_iff_forall_affine AlgebraicGeometry.quasiCompact_iff_forall_affine
@[simp]
theorem QuasiCompact.affineProperty_toProperty {X Y : Scheme} (f : X ⟶ Y) :
(QuasiCompact.affineProperty : _).toProperty f ↔ IsAffine Y ∧ CompactSpace X.carrier := by
delta AffineTargetMorphismProperty.toProperty QuasiCompact.affineProperty; simp
#align algebraic_geometry.quasi_compact.affine_property_to_property AlgebraicGeometry.QuasiCompact.affineProperty_toProperty
| Mathlib/AlgebraicGeometry/Morphisms/QuasiCompact.lean | 114 | 120 | theorem quasiCompact_iff_affineProperty :
QuasiCompact f ↔ targetAffineLocally QuasiCompact.affineProperty f := by |
rw [quasiCompact_iff_forall_affine]
trans ∀ U : Y.affineOpens, IsCompact (f.1.base ⁻¹' (U : Set Y.carrier))
· exact ⟨fun h U => h U U.prop, fun h U hU => h ⟨U, hU⟩⟩
apply forall_congr'
exact fun _ => isCompact_iff_compactSpace
| 0 |
import Mathlib.MeasureTheory.MeasurableSpace.Defs
import Mathlib.SetTheory.Cardinal.Cofinality
import Mathlib.SetTheory.Cardinal.Continuum
#align_import measure_theory.card_measurable_space from "leanprover-community/mathlib"@"f2b108e8e97ba393f22bf794989984ddcc1da89b"
universe u
variable {α : Type u}
open Cardinal Set
-- Porting note: fix universe below, not here
local notation "ω₁" => (WellOrder.α <| Quotient.out <| Cardinal.ord (aleph 1 : Cardinal))
namespace MeasurableSpace
def generateMeasurableRec (s : Set (Set α)) : (ω₁ : Type u) → Set (Set α)
| i =>
let S := ⋃ j : Iio i, generateMeasurableRec s (j.1)
s ∪ {∅} ∪ compl '' S ∪ Set.range fun f : ℕ → S => ⋃ n, (f n).1
termination_by i => i
decreasing_by exact j.2
#align measurable_space.generate_measurable_rec MeasurableSpace.generateMeasurableRec
theorem self_subset_generateMeasurableRec (s : Set (Set α)) (i : ω₁) :
s ⊆ generateMeasurableRec s i := by
unfold generateMeasurableRec
apply_rules [subset_union_of_subset_left]
exact subset_rfl
#align measurable_space.self_subset_generate_measurable_rec MeasurableSpace.self_subset_generateMeasurableRec
theorem empty_mem_generateMeasurableRec (s : Set (Set α)) (i : ω₁) :
∅ ∈ generateMeasurableRec s i := by
unfold generateMeasurableRec
exact mem_union_left _ (mem_union_left _ (mem_union_right _ (mem_singleton ∅)))
#align measurable_space.empty_mem_generate_measurable_rec MeasurableSpace.empty_mem_generateMeasurableRec
theorem compl_mem_generateMeasurableRec {s : Set (Set α)} {i j : ω₁} (h : j < i) {t : Set α}
(ht : t ∈ generateMeasurableRec s j) : tᶜ ∈ generateMeasurableRec s i := by
unfold generateMeasurableRec
exact mem_union_left _ (mem_union_right _ ⟨t, mem_iUnion.2 ⟨⟨j, h⟩, ht⟩, rfl⟩)
#align measurable_space.compl_mem_generate_measurable_rec MeasurableSpace.compl_mem_generateMeasurableRec
theorem iUnion_mem_generateMeasurableRec {s : Set (Set α)} {i : ω₁} {f : ℕ → Set α}
(hf : ∀ n, ∃ j < i, f n ∈ generateMeasurableRec s j) :
(⋃ n, f n) ∈ generateMeasurableRec s i := by
unfold generateMeasurableRec
exact mem_union_right _ ⟨fun n => ⟨f n, let ⟨j, hj, hf⟩ := hf n; mem_iUnion.2 ⟨⟨j, hj⟩, hf⟩⟩, rfl⟩
#align measurable_space.Union_mem_generate_measurable_rec MeasurableSpace.iUnion_mem_generateMeasurableRec
theorem generateMeasurableRec_subset (s : Set (Set α)) {i j : ω₁} (h : i ≤ j) :
generateMeasurableRec s i ⊆ generateMeasurableRec s j := fun x hx => by
rcases eq_or_lt_of_le h with (rfl | h)
· exact hx
· convert iUnion_mem_generateMeasurableRec fun _ => ⟨i, h, hx⟩
exact (iUnion_const x).symm
#align measurable_space.generate_measurable_rec_subset MeasurableSpace.generateMeasurableRec_subset
theorem cardinal_generateMeasurableRec_le (s : Set (Set α)) (i : ω₁) :
#(generateMeasurableRec s i) ≤ max #s 2 ^ aleph0.{u} := by
apply (aleph 1).ord.out.wo.wf.induction i
intro i IH
have A := aleph0_le_aleph 1
have B : aleph 1 ≤ max #s 2 ^ aleph0.{u} :=
aleph_one_le_continuum.trans (power_le_power_right (le_max_right _ _))
have C : ℵ₀ ≤ max #s 2 ^ aleph0.{u} := A.trans B
have J : #(⋃ j : Iio i, generateMeasurableRec s j.1) ≤ max #s 2 ^ aleph0.{u} := by
refine (mk_iUnion_le _).trans ?_
have D : ⨆ j : Iio i, #(generateMeasurableRec s j) ≤ _ := ciSup_le' fun ⟨j, hj⟩ => IH j hj
apply (mul_le_mul' ((mk_subtype_le _).trans (aleph 1).mk_ord_out.le) D).trans
rw [mul_eq_max A C]
exact max_le B le_rfl
rw [generateMeasurableRec]
apply_rules [(mk_union_le _ _).trans, add_le_of_le C, mk_image_le.trans]
· exact (le_max_left _ _).trans (self_le_power _ one_lt_aleph0.le)
· rw [mk_singleton]
exact one_lt_aleph0.le.trans C
· apply mk_range_le.trans
simp only [mk_pi, prod_const, lift_uzero, mk_denumerable, lift_aleph0]
have := @power_le_power_right _ _ ℵ₀ J
rwa [← power_mul, aleph0_mul_aleph0] at this
#align measurable_space.cardinal_generate_measurable_rec_le MeasurableSpace.cardinal_generateMeasurableRec_le
| Mathlib/MeasureTheory/MeasurableSpace/Card.lean | 117 | 151 | theorem generateMeasurable_eq_rec (s : Set (Set α)) :
{ t | GenerateMeasurable s t } =
⋃ (i : (Quotient.out (aleph 1).ord).α), generateMeasurableRec s i := by |
ext t; refine ⟨fun ht => ?_, fun ht => ?_⟩
· inhabit ω₁
induction' ht with u hu u _ IH f _ IH
· exact mem_iUnion.2 ⟨default, self_subset_generateMeasurableRec s _ hu⟩
· exact mem_iUnion.2 ⟨default, empty_mem_generateMeasurableRec s _⟩
· rcases mem_iUnion.1 IH with ⟨i, hi⟩
obtain ⟨j, hj⟩ := exists_gt i
exact mem_iUnion.2 ⟨j, compl_mem_generateMeasurableRec hj hi⟩
· have : ∀ n, ∃ i, f n ∈ generateMeasurableRec s i := fun n => by simpa using IH n
choose I hI using this
have : IsWellOrder (ω₁ : Type u) (· < ·) := isWellOrder_out_lt _
refine mem_iUnion.2
⟨Ordinal.enum (· < ·) (Ordinal.lsub fun n => Ordinal.typein.{u} (· < ·) (I n)) ?_,
iUnion_mem_generateMeasurableRec fun n => ⟨I n, ?_, hI n⟩⟩
· rw [Ordinal.type_lt]
refine Ordinal.lsub_lt_ord_lift ?_ fun i => Ordinal.typein_lt_self _
rw [mk_denumerable, lift_aleph0, isRegular_aleph_one.cof_eq]
exact aleph0_lt_aleph_one
· rw [← Ordinal.typein_lt_typein (· < ·), Ordinal.typein_enum]
apply Ordinal.lt_lsub fun n : ℕ => _
· rcases ht with ⟨t, ⟨i, rfl⟩, hx⟩
revert t
apply (aleph 1).ord.out.wo.wf.induction i
intro j H t ht
unfold generateMeasurableRec at ht
rcases ht with (((h | (rfl : t = ∅)) | ⟨u, ⟨-, ⟨⟨k, hk⟩, rfl⟩, hu⟩, rfl⟩) | ⟨f, rfl⟩)
· exact .basic t h
· exact .empty
· exact .compl u (H k hk u hu)
· refine .iUnion _ @fun n => ?_
obtain ⟨-, ⟨⟨k, hk⟩, rfl⟩, hf⟩ := (f n).prop
exact H k hk _ hf
| 0 |
import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.RingTheory.Localization.NumDen
import Mathlib.RingTheory.Polynomial.ScaleRoots
#align_import ring_theory.polynomial.rational_root from "leanprover-community/mathlib"@"62c0a4ef1441edb463095ea02a06e87f3dfe135c"
open scoped Polynomial
section ScaleRoots
variable {A K R S : Type*} [CommRing A] [Field K] [CommRing R] [CommRing S]
variable {M : Submonoid A} [Algebra A S] [IsLocalization M S] [Algebra A K] [IsFractionRing A K]
open Finsupp IsFractionRing IsLocalization Polynomial
| Mathlib/RingTheory/Polynomial/RationalRoot.lean | 39 | 44 | theorem scaleRoots_aeval_eq_zero_of_aeval_mk'_eq_zero {p : A[X]} {r : A} {s : M}
(hr : aeval (mk' S r s) p = 0) : aeval (algebraMap A S r) (scaleRoots p s) = 0 := by |
convert scaleRoots_eval₂_eq_zero (algebraMap A S) hr
-- Porting note: added
funext
rw [aeval_def, mk'_spec' _ r s]
| 0 |
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.MeasureTheory.Group.Pointwise
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.MeasureTheory.Measure.Doubling
import Mathlib.MeasureTheory.Constructions.BorelSpace.Metric
#align_import measure_theory.measure.lebesgue.eq_haar from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
assert_not_exists MeasureTheory.integral
open TopologicalSpace Set Filter Metric Bornology
open scoped ENNReal Pointwise Topology NNReal
def TopologicalSpace.PositiveCompacts.Icc01 : PositiveCompacts ℝ where
carrier := Icc 0 1
isCompact' := isCompact_Icc
interior_nonempty' := by simp_rw [interior_Icc, nonempty_Ioo, zero_lt_one]
#align topological_space.positive_compacts.Icc01 TopologicalSpace.PositiveCompacts.Icc01
universe u
def TopologicalSpace.PositiveCompacts.piIcc01 (ι : Type*) [Finite ι] :
PositiveCompacts (ι → ℝ) where
carrier := pi univ fun _ => Icc 0 1
isCompact' := isCompact_univ_pi fun _ => isCompact_Icc
interior_nonempty' := by
simp only [interior_pi_set, Set.toFinite, interior_Icc, univ_pi_nonempty_iff, nonempty_Ioo,
imp_true_iff, zero_lt_one]
#align topological_space.positive_compacts.pi_Icc01 TopologicalSpace.PositiveCompacts.piIcc01
theorem Basis.parallelepiped_basisFun (ι : Type*) [Fintype ι] :
(Pi.basisFun ℝ ι).parallelepiped = TopologicalSpace.PositiveCompacts.piIcc01 ι :=
SetLike.coe_injective <| by
refine Eq.trans ?_ ((uIcc_of_le ?_).trans (Set.pi_univ_Icc _ _).symm)
· classical convert parallelepiped_single (ι := ι) 1
· exact zero_le_one
#align basis.parallelepiped_basis_fun Basis.parallelepiped_basisFun
theorem Basis.parallelepiped_eq_map {ι E : Type*} [Fintype ι] [NormedAddCommGroup E]
[NormedSpace ℝ E] (b : Basis ι ℝ E) :
b.parallelepiped = (PositiveCompacts.piIcc01 ι).map b.equivFun.symm
b.equivFunL.symm.continuous b.equivFunL.symm.isOpenMap := by
classical
rw [← Basis.parallelepiped_basisFun, ← Basis.parallelepiped_map]
congr with x
simp
open MeasureTheory MeasureTheory.Measure
theorem Basis.map_addHaar {ι E F : Type*} [Fintype ι] [NormedAddCommGroup E] [NormedAddCommGroup F]
[NormedSpace ℝ E] [NormedSpace ℝ F] [MeasurableSpace E] [MeasurableSpace F] [BorelSpace E]
[BorelSpace F] [SecondCountableTopology F] [SigmaCompactSpace F]
(b : Basis ι ℝ E) (f : E ≃L[ℝ] F) :
map f b.addHaar = (b.map f.toLinearEquiv).addHaar := by
have : IsAddHaarMeasure (map f b.addHaar) :=
AddEquiv.isAddHaarMeasure_map b.addHaar f.toAddEquiv f.continuous f.symm.continuous
rw [eq_comm, Basis.addHaar_eq_iff, Measure.map_apply f.continuous.measurable
(PositiveCompacts.isCompact _).measurableSet, Basis.coe_parallelepiped, Basis.coe_map]
erw [← image_parallelepiped, f.toEquiv.preimage_image, addHaar_self]
namespace MeasureTheory
open Measure TopologicalSpace.PositiveCompacts FiniteDimensional
| Mathlib/MeasureTheory/Measure/Lebesgue/EqHaar.lean | 115 | 116 | theorem addHaarMeasure_eq_volume : addHaarMeasure Icc01 = volume := by |
convert (addHaarMeasure_unique volume Icc01).symm; simp [Icc01]
| 0 |
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.RingTheory.DedekindDomain.Ideal
#align_import ring_theory.class_group from "leanprover-community/mathlib"@"565eb991e264d0db702722b4bde52ee5173c9950"
variable {R K L : Type*} [CommRing R]
variable [Field K] [Field L] [DecidableEq L]
variable [Algebra R K] [IsFractionRing R K]
variable [Algebra K L] [FiniteDimensional K L]
variable [Algebra R L] [IsScalarTower R K L]
open scoped nonZeroDivisors
open IsLocalization IsFractionRing FractionalIdeal Units
section
variable (R K)
irreducible_def toPrincipalIdeal : Kˣ →* (FractionalIdeal R⁰ K)ˣ :=
{ toFun := fun x =>
⟨spanSingleton _ x, spanSingleton _ x⁻¹, by
simp only [spanSingleton_one, Units.mul_inv', spanSingleton_mul_spanSingleton], by
simp only [spanSingleton_one, Units.inv_mul', spanSingleton_mul_spanSingleton]⟩
map_mul' := fun x y =>
ext (by simp only [Units.val_mk, Units.val_mul, spanSingleton_mul_spanSingleton])
map_one' := ext (by simp only [spanSingleton_one, Units.val_mk, Units.val_one]) }
#align to_principal_ideal toPrincipalIdeal
variable {R K}
@[simp]
theorem coe_toPrincipalIdeal (x : Kˣ) :
(toPrincipalIdeal R K x : FractionalIdeal R⁰ K) = spanSingleton _ (x : K) := by
simp only [toPrincipalIdeal]; rfl
#align coe_to_principal_ideal coe_toPrincipalIdeal
@[simp]
theorem toPrincipalIdeal_eq_iff {I : (FractionalIdeal R⁰ K)ˣ} {x : Kˣ} :
toPrincipalIdeal R K x = I ↔ spanSingleton R⁰ (x : K) = I := by
simp only [toPrincipalIdeal]; exact Units.ext_iff
#align to_principal_ideal_eq_iff toPrincipalIdeal_eq_iff
theorem mem_principal_ideals_iff {I : (FractionalIdeal R⁰ K)ˣ} :
I ∈ (toPrincipalIdeal R K).range ↔ ∃ x : K, spanSingleton R⁰ x = I := by
simp only [MonoidHom.mem_range, toPrincipalIdeal_eq_iff]
constructor <;> rintro ⟨x, hx⟩
· exact ⟨x, hx⟩
· refine ⟨Units.mk0 x ?_, hx⟩
rintro rfl
simp [I.ne_zero.symm] at hx
#align mem_principal_ideals_iff mem_principal_ideals_iff
instance PrincipalIdeals.normal : (toPrincipalIdeal R K).range.Normal :=
Subgroup.normal_of_comm _
#align principal_ideals.normal PrincipalIdeals.normal
end
variable (R)
variable [IsDomain R]
def ClassGroup :=
(FractionalIdeal R⁰ (FractionRing R))ˣ ⧸ (toPrincipalIdeal R (FractionRing R)).range
#align class_group ClassGroup
noncomputable instance : CommGroup (ClassGroup R) :=
QuotientGroup.Quotient.commGroup (toPrincipalIdeal R (FractionRing R)).range
noncomputable instance : Inhabited (ClassGroup R) := ⟨1⟩
variable {R}
noncomputable def ClassGroup.mk : (FractionalIdeal R⁰ K)ˣ →* ClassGroup R :=
(QuotientGroup.mk' (toPrincipalIdeal R (FractionRing R)).range).comp
(Units.map (FractionalIdeal.canonicalEquiv R⁰ K (FractionRing R)))
#align class_group.mk ClassGroup.mk
-- Can't be `@[simp]` because it can't figure out the quotient relation.
theorem ClassGroup.Quot_mk_eq_mk (I : (FractionalIdeal R⁰ (FractionRing R))ˣ) :
Quot.mk _ I = ClassGroup.mk I := by
rw [ClassGroup.mk, canonicalEquiv_self, RingEquiv.coe_monoidHom_refl, Units.map_id]
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [MonoidHom.comp_apply]
rw [MonoidHom.id_apply, QuotientGroup.mk'_apply]
rfl
theorem ClassGroup.mk_eq_mk {I J : (FractionalIdeal R⁰ <| FractionRing R)ˣ} :
ClassGroup.mk I = ClassGroup.mk J ↔
∃ x : (FractionRing R)ˣ, I * toPrincipalIdeal R (FractionRing R) x = J := by
erw [QuotientGroup.mk'_eq_mk', canonicalEquiv_self, Units.map_id, Set.exists_range_iff]
rfl
#align class_group.mk_eq_mk ClassGroup.mk_eq_mk
| Mathlib/RingTheory/ClassGroup.lean | 126 | 144 | theorem ClassGroup.mk_eq_mk_of_coe_ideal {I J : (FractionalIdeal R⁰ <| FractionRing R)ˣ}
{I' J' : Ideal R} (hI : (I : FractionalIdeal R⁰ <| FractionRing R) = I')
(hJ : (J : FractionalIdeal R⁰ <| FractionRing R) = J') :
ClassGroup.mk I = ClassGroup.mk J ↔
∃ x y : R, x ≠ 0 ∧ y ≠ 0 ∧ Ideal.span {x} * I' = Ideal.span {y} * J' := by |
rw [ClassGroup.mk_eq_mk]
constructor
· rintro ⟨x, rfl⟩
rw [Units.val_mul, hI, coe_toPrincipalIdeal, mul_comm,
spanSingleton_mul_coeIdeal_eq_coeIdeal] at hJ
exact ⟨_, _, sec_fst_ne_zero (R := R) le_rfl x.ne_zero,
sec_snd_ne_zero (R := R) le_rfl (x : FractionRing R), hJ⟩
· rintro ⟨x, y, hx, hy, h⟩
have : IsUnit (mk' (FractionRing R) x ⟨y, mem_nonZeroDivisors_of_ne_zero hy⟩) := by
simpa only [isUnit_iff_ne_zero, ne_eq, mk'_eq_zero_iff_eq_zero] using hx
refine ⟨this.unit, ?_⟩
rw [mul_comm, ← Units.eq_iff, Units.val_mul, coe_toPrincipalIdeal]
convert
(mk'_mul_coeIdeal_eq_coeIdeal (FractionRing R) <| mem_nonZeroDivisors_of_ne_zero hy).2 h
| 0 |
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
import Mathlib.Data.Nat.Totient
import Mathlib.GroupTheory.OrderOfElement
import Mathlib.GroupTheory.Subgroup.Simple
import Mathlib.Tactic.Group
import Mathlib.GroupTheory.Exponent
#align_import group_theory.specific_groups.cyclic from "leanprover-community/mathlib"@"0f6670b8af2dff699de1c0b4b49039b31bc13c46"
universe u
variable {α : Type u} {a : α}
section Cyclic
attribute [local instance] setFintype
open Subgroup
class IsAddCyclic (α : Type u) [AddGroup α] : Prop where
exists_generator : ∃ g : α, ∀ x, x ∈ AddSubgroup.zmultiples g
#align is_add_cyclic IsAddCyclic
@[to_additive]
class IsCyclic (α : Type u) [Group α] : Prop where
exists_generator : ∃ g : α, ∀ x, x ∈ zpowers g
#align is_cyclic IsCyclic
@[to_additive]
instance (priority := 100) isCyclic_of_subsingleton [Group α] [Subsingleton α] : IsCyclic α :=
⟨⟨1, fun x => by
rw [Subsingleton.elim x 1]
exact mem_zpowers 1⟩⟩
#align is_cyclic_of_subsingleton isCyclic_of_subsingleton
#align is_add_cyclic_of_subsingleton isAddCyclic_of_subsingleton
@[simp]
theorem isCyclic_multiplicative_iff [AddGroup α] : IsCyclic (Multiplicative α) ↔ IsAddCyclic α :=
⟨fun H ↦ ⟨H.1⟩, fun H ↦ ⟨H.1⟩⟩
instance isCyclic_multiplicative [AddGroup α] [IsAddCyclic α] : IsCyclic (Multiplicative α) :=
isCyclic_multiplicative_iff.mpr inferInstance
@[simp]
theorem isAddCyclic_additive_iff [Group α] : IsAddCyclic (Additive α) ↔ IsCyclic α :=
⟨fun H ↦ ⟨H.1⟩, fun H ↦ ⟨H.1⟩⟩
instance isAddCyclic_additive [Group α] [IsCyclic α] : IsAddCyclic (Additive α) :=
isAddCyclic_additive_iff.mpr inferInstance
@[to_additive
"A cyclic group is always commutative. This is not an `instance` because often we have
a better proof of `AddCommGroup`."]
def IsCyclic.commGroup [hg : Group α] [IsCyclic α] : CommGroup α :=
{ hg with
mul_comm := fun x y =>
let ⟨_, hg⟩ := IsCyclic.exists_generator (α := α)
let ⟨_, hn⟩ := hg x
let ⟨_, hm⟩ := hg y
hm ▸ hn ▸ zpow_mul_comm _ _ _ }
#align is_cyclic.comm_group IsCyclic.commGroup
#align is_add_cyclic.add_comm_group IsAddCyclic.addCommGroup
variable [Group α]
@[to_additive "A non-cyclic additive group is non-trivial."]
theorem Nontrivial.of_not_isCyclic (nc : ¬IsCyclic α) : Nontrivial α := by
contrapose! nc
exact @isCyclic_of_subsingleton _ _ (not_nontrivial_iff_subsingleton.mp nc)
@[to_additive]
theorem MonoidHom.map_cyclic {G : Type*} [Group G] [h : IsCyclic G] (σ : G →* G) :
∃ m : ℤ, ∀ g : G, σ g = g ^ m := by
obtain ⟨h, hG⟩ := IsCyclic.exists_generator (α := G)
obtain ⟨m, hm⟩ := hG (σ h)
refine ⟨m, fun g => ?_⟩
obtain ⟨n, rfl⟩ := hG g
rw [MonoidHom.map_zpow, ← hm, ← zpow_mul, ← zpow_mul']
#align monoid_hom.map_cyclic MonoidHom.map_cyclic
#align monoid_add_hom.map_add_cyclic AddMonoidHom.map_addCyclic
@[deprecated (since := "2024-02-21")] alias
MonoidAddHom.map_add_cyclic := AddMonoidHom.map_addCyclic
@[to_additive]
theorem isCyclic_of_orderOf_eq_card [Fintype α] (x : α) (hx : orderOf x = Fintype.card α) :
IsCyclic α := by
classical
use x
simp_rw [← SetLike.mem_coe, ← Set.eq_univ_iff_forall]
rw [← Fintype.card_congr (Equiv.Set.univ α), ← Fintype.card_zpowers] at hx
exact Set.eq_of_subset_of_card_le (Set.subset_univ _) (ge_of_eq hx)
#align is_cyclic_of_order_of_eq_card isCyclic_of_orderOf_eq_card
#align is_add_cyclic_of_order_of_eq_card isAddCyclic_of_addOrderOf_eq_card
@[deprecated (since := "2024-02-21")]
alias isAddCyclic_of_orderOf_eq_card := isAddCyclic_of_addOrderOf_eq_card
@[to_additive]
| Mathlib/GroupTheory/SpecificGroups/Cyclic.lean | 136 | 141 | theorem Subgroup.eq_bot_or_eq_top_of_prime_card {G : Type*} [Group G] {_ : Fintype G}
(H : Subgroup G) [hp : Fact (Fintype.card G).Prime] : H = ⊥ ∨ H = ⊤ := by |
classical
have := card_subgroup_dvd_card H
rwa [Nat.card_eq_fintype_card (α := G), Nat.dvd_prime hp.1, ← Nat.card_eq_fintype_card,
← eq_bot_iff_card, card_eq_iff_eq_top] at this
| 0 |
import Mathlib.Combinatorics.SimpleGraph.DegreeSum
import Mathlib.Combinatorics.SimpleGraph.Subgraph
#align_import combinatorics.simple_graph.matching from "leanprover-community/mathlib"@"138448ae98f529ef34eeb61114191975ee2ca508"
universe u
namespace SimpleGraph
variable {V : Type u} {G : SimpleGraph V} (M : Subgraph G)
namespace Subgraph
def IsMatching : Prop := ∀ ⦃v⦄, v ∈ M.verts → ∃! w, M.Adj v w
#align simple_graph.subgraph.is_matching SimpleGraph.Subgraph.IsMatching
noncomputable def IsMatching.toEdge {M : Subgraph G} (h : M.IsMatching) (v : M.verts) : M.edgeSet :=
⟨s(v, (h v.property).choose), (h v.property).choose_spec.1⟩
#align simple_graph.subgraph.is_matching.to_edge SimpleGraph.Subgraph.IsMatching.toEdge
theorem IsMatching.toEdge_eq_of_adj {M : Subgraph G} (h : M.IsMatching) {v w : V} (hv : v ∈ M.verts)
(hvw : M.Adj v w) : h.toEdge ⟨v, hv⟩ = ⟨s(v, w), hvw⟩ := by
simp only [IsMatching.toEdge, Subtype.mk_eq_mk]
congr
exact ((h (M.edge_vert hvw)).choose_spec.2 w hvw).symm
#align simple_graph.subgraph.is_matching.to_edge_eq_of_adj SimpleGraph.Subgraph.IsMatching.toEdge_eq_of_adj
theorem IsMatching.toEdge.surjective {M : Subgraph G} (h : M.IsMatching) :
Function.Surjective h.toEdge := by
rintro ⟨e, he⟩
refine Sym2.ind (fun x y he => ?_) e he
exact ⟨⟨x, M.edge_vert he⟩, h.toEdge_eq_of_adj _ he⟩
#align simple_graph.subgraph.is_matching.to_edge.surjective SimpleGraph.Subgraph.IsMatching.toEdge.surjective
theorem IsMatching.toEdge_eq_toEdge_of_adj {M : Subgraph G} {v w : V} (h : M.IsMatching)
(hv : v ∈ M.verts) (hw : w ∈ M.verts) (ha : M.Adj v w) :
h.toEdge ⟨v, hv⟩ = h.toEdge ⟨w, hw⟩ := by
rw [h.toEdge_eq_of_adj hv ha, h.toEdge_eq_of_adj hw (M.symm ha), Subtype.mk_eq_mk, Sym2.eq_swap]
#align simple_graph.subgraph.is_matching.to_edge_eq_to_edge_of_adj SimpleGraph.Subgraph.IsMatching.toEdge_eq_toEdge_of_adj
def IsPerfectMatching : Prop := M.IsMatching ∧ M.IsSpanning
#align simple_graph.subgraph.is_perfect_matching SimpleGraph.Subgraph.IsPerfectMatching
theorem IsMatching.support_eq_verts {M : Subgraph G} (h : M.IsMatching) : M.support = M.verts := by
refine M.support_subset_verts.antisymm fun v hv => ?_
obtain ⟨w, hvw, -⟩ := h hv
exact ⟨_, hvw⟩
#align simple_graph.subgraph.is_matching.support_eq_verts SimpleGraph.Subgraph.IsMatching.support_eq_verts
theorem isMatching_iff_forall_degree {M : Subgraph G} [∀ v : V, Fintype (M.neighborSet v)] :
M.IsMatching ↔ ∀ v : V, v ∈ M.verts → M.degree v = 1 := by
simp only [degree_eq_one_iff_unique_adj, IsMatching]
#align simple_graph.subgraph.is_matching_iff_forall_degree SimpleGraph.Subgraph.isMatching_iff_forall_degree
theorem IsMatching.even_card {M : Subgraph G} [Fintype M.verts] (h : M.IsMatching) :
Even M.verts.toFinset.card := by
classical
rw [isMatching_iff_forall_degree] at h
use M.coe.edgeFinset.card
rw [← two_mul, ← M.coe.sum_degrees_eq_twice_card_edges]
-- Porting note: `SimpleGraph.Subgraph.coe_degree` does not trigger because it uses
-- instance arguments instead of implicit arguments for the first `Fintype` argument.
-- Using a `convert_to` to swap out the `Fintype` instance to the "right" one.
convert_to _ = Finset.sum Finset.univ fun v => SimpleGraph.degree (Subgraph.coe M) v using 3
simp [h, Finset.card_univ]
#align simple_graph.subgraph.is_matching.even_card SimpleGraph.Subgraph.IsMatching.even_card
| Mathlib/Combinatorics/SimpleGraph/Matching.lean | 114 | 119 | theorem isPerfectMatching_iff : M.IsPerfectMatching ↔ ∀ v, ∃! w, M.Adj v w := by |
refine ⟨?_, fun hm => ⟨fun v _ => hm v, fun v => ?_⟩⟩
· rintro ⟨hm, hs⟩ v
exact hm (hs v)
· obtain ⟨w, hw, -⟩ := hm v
exact M.edge_vert hw
| 0 |
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.TryThis
import Mathlib.Util.AtomM
set_option autoImplicit true
namespace Mathlib.Tactic.Abel
open Lean Elab Meta Tactic Qq
initialize registerTraceClass `abel
initialize registerTraceClass `abel.detail
structure Context where
α : Expr
univ : Level
α0 : Expr
isGroup : Bool
inst : Expr
def mkContext (e : Expr) : MetaM Context := do
let α ← inferType e
let c ← synthInstance (← mkAppM ``AddCommMonoid #[α])
let cg ← synthInstance? (← mkAppM ``AddCommGroup #[α])
let u ← mkFreshLevelMVar
_ ← isDefEq (.sort (.succ u)) (← inferType α)
let α0 ← Expr.ofNat α 0
match cg with
| some cg => return ⟨α, u, α0, true, cg⟩
| _ => return ⟨α, u, α0, false, c⟩
abbrev M := ReaderT Context AtomM
def Context.app (c : Context) (n : Name) (inst : Expr) : Array Expr → Expr :=
mkAppN (((@Expr.const n [c.univ]).app c.α).app inst)
def Context.mkApp (c : Context) (n inst : Name) (l : Array Expr) : MetaM Expr := do
return c.app n (← synthInstance ((Expr.const inst [c.univ]).app c.α)) l
def addG : Name → Name
| .str p s => .str p (s ++ "g")
| n => n
def iapp (n : Name) (xs : Array Expr) : M Expr := do
let c ← read
return c.app (if c.isGroup then addG n else n) c.inst xs
def term {α} [AddCommMonoid α] (n : ℕ) (x a : α) : α := n • x + a
def termg {α} [AddCommGroup α] (n : ℤ) (x a : α) : α := n • x + a
def mkTerm (n x a : Expr) : M Expr := iapp ``term #[n, x, a]
def intToExpr (n : ℤ) : M Expr := do
Expr.ofInt (mkConst (if (← read).isGroup then ``Int else ``Nat) []) n
inductive NormalExpr : Type
| zero (e : Expr) : NormalExpr
| nterm (e : Expr) (n : Expr × ℤ) (x : ℕ × Expr) (a : NormalExpr) : NormalExpr
deriving Inhabited
def NormalExpr.e : NormalExpr → Expr
| .zero e => e
| .nterm e .. => e
instance : Coe NormalExpr Expr where coe := NormalExpr.e
def NormalExpr.term' (n : Expr × ℤ) (x : ℕ × Expr) (a : NormalExpr) : M NormalExpr :=
return .nterm (← mkTerm n.1 x.2 a) n x a
def NormalExpr.zero' : M NormalExpr := return NormalExpr.zero (← read).α0
open NormalExpr
| Mathlib/Tactic/Abel.lean | 128 | 130 | theorem const_add_term {α} [AddCommMonoid α] (k n x a a') (h : k + a = a') :
k + @term α _ n x a = term n x a' := by |
simp [h.symm, term, add_comm, add_assoc]
| 0 |
import Mathlib.Topology.MetricSpace.HausdorffDistance
import Mathlib.MeasureTheory.Constructions.BorelSpace.Order
#align_import measure_theory.measure.regular from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf"
open Set Filter ENNReal Topology NNReal TopologicalSpace
namespace MeasureTheory
namespace Measure
def InnerRegularWRT {α} {_ : MeasurableSpace α} (μ : Measure α) (p q : Set α → Prop) :=
∀ ⦃U⦄, q U → ∀ r < μ U, ∃ K, K ⊆ U ∧ p K ∧ r < μ K
#align measure_theory.measure.inner_regular MeasureTheory.Measure.InnerRegularWRT
namespace InnerRegularWRT
variable {α : Type*} {m : MeasurableSpace α} {μ : Measure α} {p q : Set α → Prop} {U : Set α}
{ε : ℝ≥0∞}
| Mathlib/MeasureTheory/Measure/Regular.lean | 215 | 219 | theorem measure_eq_iSup (H : InnerRegularWRT μ p q) (hU : q U) :
μ U = ⨆ (K) (_ : K ⊆ U) (_ : p K), μ K := by |
refine
le_antisymm (le_of_forall_lt fun r hr => ?_) (iSup₂_le fun K hK => iSup_le fun _ => μ.mono hK)
simpa only [lt_iSup_iff, exists_prop] using H hU r hr
| 0 |
import Mathlib.Data.Complex.Module
import Mathlib.RingTheory.Norm
import Mathlib.RingTheory.Trace
#align_import ring_theory.complex from "leanprover-community/mathlib"@"9015c511549dc77a0f8d6eba021d8ac4bba20c82"
open Complex
theorem Algebra.leftMulMatrix_complex (z : ℂ) :
Algebra.leftMulMatrix Complex.basisOneI z = !![z.re, -z.im; z.im, z.re] := by
ext i j
rw [Algebra.leftMulMatrix_eq_repr_mul, Complex.coe_basisOneI_repr, Complex.coe_basisOneI, mul_re,
mul_im, Matrix.of_apply]
fin_cases j
· simp only [Fin.mk_zero, Matrix.cons_val_zero, one_re, mul_one, one_im, mul_zero, sub_zero,
zero_add]
fin_cases i <;> rfl
· simp only [Fin.mk_one, Matrix.cons_val_one, Matrix.head_cons, I_re, mul_zero, I_im, mul_one,
zero_sub, add_zero]
fin_cases i <;> rfl
#align algebra.left_mul_matrix_complex Algebra.leftMulMatrix_complex
| Mathlib/RingTheory/Complex.lean | 31 | 34 | theorem Algebra.trace_complex_apply (z : ℂ) : Algebra.trace ℝ ℂ z = 2 * z.re := by |
rw [Algebra.trace_eq_matrix_trace Complex.basisOneI, Algebra.leftMulMatrix_complex,
Matrix.trace_fin_two]
exact (two_mul _).symm
| 0 |
import Mathlib.Algebra.BigOperators.Ring
import Mathlib.Combinatorics.SimpleGraph.Dart
import Mathlib.Combinatorics.SimpleGraph.Finite
import Mathlib.Data.ZMod.Parity
#align_import combinatorics.simple_graph.degree_sum from "leanprover-community/mathlib"@"90659cbe25e59ec302e2fb92b00e9732160cc620"
open Finset
namespace SimpleGraph
universe u
variable {V : Type u} (G : SimpleGraph V)
section DegreeSum
variable [Fintype V] [DecidableRel G.Adj]
-- Porting note: Changed to `Fintype (Sym2 V)` to match Combinatorics.SimpleGraph.Basic
variable [Fintype (Sym2 V)]
theorem dart_fst_fiber [DecidableEq V] (v : V) :
(univ.filter fun d : G.Dart => d.fst = v) = univ.image (G.dartOfNeighborSet v) := by
ext d
simp only [mem_image, true_and_iff, mem_filter, SetCoe.exists, mem_univ, exists_prop_of_true]
constructor
· rintro rfl
exact ⟨_, d.adj, by ext <;> rfl⟩
· rintro ⟨e, he, rfl⟩
rfl
#align simple_graph.dart_fst_fiber SimpleGraph.dart_fst_fiber
theorem dart_fst_fiber_card_eq_degree [DecidableEq V] (v : V) :
(univ.filter fun d : G.Dart => d.fst = v).card = G.degree v := by
simpa only [dart_fst_fiber, Finset.card_univ, card_neighborSet_eq_degree] using
card_image_of_injective univ (G.dartOfNeighborSet_injective v)
#align simple_graph.dart_fst_fiber_card_eq_degree SimpleGraph.dart_fst_fiber_card_eq_degree
theorem dart_card_eq_sum_degrees : Fintype.card G.Dart = ∑ v, G.degree v := by
haveI := Classical.decEq V
simp only [← card_univ, ← dart_fst_fiber_card_eq_degree]
exact card_eq_sum_card_fiberwise (by simp)
#align simple_graph.dart_card_eq_sum_degrees SimpleGraph.dart_card_eq_sum_degrees
variable {G}
theorem Dart.edge_fiber [DecidableEq V] (d : G.Dart) :
(univ.filter fun d' : G.Dart => d'.edge = d.edge) = {d, d.symm} :=
Finset.ext fun d' => by simpa using dart_edge_eq_iff d' d
#align simple_graph.dart.edge_fiber SimpleGraph.Dart.edge_fiber
variable (G)
theorem dart_edge_fiber_card [DecidableEq V] (e : Sym2 V) (h : e ∈ G.edgeSet) :
(univ.filter fun d : G.Dart => d.edge = e).card = 2 := by
refine Sym2.ind (fun v w h => ?_) e h
let d : G.Dart := ⟨(v, w), h⟩
convert congr_arg card d.edge_fiber
rw [card_insert_of_not_mem, card_singleton]
rw [mem_singleton]
exact d.symm_ne.symm
#align simple_graph.dart_edge_fiber_card SimpleGraph.dart_edge_fiber_card
| Mathlib/Combinatorics/SimpleGraph/DegreeSum.lean | 98 | 106 | theorem dart_card_eq_twice_card_edges : Fintype.card G.Dart = 2 * G.edgeFinset.card := by |
classical
rw [← card_univ]
rw [@card_eq_sum_card_fiberwise _ _ _ Dart.edge _ G.edgeFinset fun d _h =>
by rw [mem_edgeFinset]; apply Dart.edge_mem]
rw [← mul_comm, sum_const_nat]
intro e h
apply G.dart_edge_fiber_card e
rwa [← mem_edgeFinset]
| 0 |
import Mathlib.Algebra.CharP.Basic
import Mathlib.RingTheory.Ideal.LocalRing
import Mathlib.Algebra.IsPrimePow
import Mathlib.Data.Nat.Factorization.Basic
#align_import algebra.char_p.local_ring from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
| Mathlib/Algebra/CharP/LocalRing.lean | 25 | 67 | theorem charP_zero_or_prime_power (R : Type*) [CommRing R] [LocalRing R] (q : ℕ)
[char_R_q : CharP R q] : q = 0 ∨ IsPrimePow q := by |
-- Assume `q := char(R)` is not zero.
apply or_iff_not_imp_left.2
intro q_pos
let K := LocalRing.ResidueField R
haveI RM_char := ringChar.charP K
let r := ringChar K
let n := q.factorization r
-- `r := char(R/m)` is either prime or zero:
cases' CharP.char_is_prime_or_zero K r with r_prime r_zero
· let a := q / r ^ n
-- If `r` is prime, we can write it as `r = a * q^n` ...
have q_eq_a_mul_rn : q = r ^ n * a := by rw [Nat.mul_div_cancel' (Nat.ord_proj_dvd q r)]
have r_ne_dvd_a := Nat.not_dvd_ord_compl r_prime q_pos
have rn_dvd_q : r ^ n ∣ q := ⟨a, q_eq_a_mul_rn⟩
rw [mul_comm] at q_eq_a_mul_rn
-- ... where `a` is a unit.
have a_unit : IsUnit (a : R) := by
by_contra g
rw [← mem_nonunits_iff] at g
rw [← LocalRing.mem_maximalIdeal] at g
have a_cast_zero := Ideal.Quotient.eq_zero_iff_mem.2 g
rw [map_natCast] at a_cast_zero
have r_dvd_a := (ringChar.spec K a).1 a_cast_zero
exact absurd r_dvd_a r_ne_dvd_a
-- Let `b` be the inverse of `a`.
cases' a_unit.exists_left_inv with a_inv h_inv_mul_a
have rn_cast_zero : ↑(r ^ n) = (0 : R) := by
rw [← @mul_one R _ ↑(r ^ n), mul_comm, ← Classical.choose_spec a_unit.exists_left_inv,
mul_assoc, ← Nat.cast_mul, ← q_eq_a_mul_rn, CharP.cast_eq_zero R q]
simp
have q_eq_rn := Nat.dvd_antisymm ((CharP.cast_eq_zero_iff R q (r ^ n)).mp rn_cast_zero) rn_dvd_q
have n_pos : n ≠ 0 := fun n_zero =>
absurd (by simpa [n_zero] using q_eq_rn) (CharP.char_ne_one R q)
-- Definition of prime power: `∃ r n, Prime r ∧ 0 < n ∧ r ^ n = q`.
exact ⟨r, ⟨n, ⟨r_prime.prime, ⟨pos_iff_ne_zero.mpr n_pos, q_eq_rn.symm⟩⟩⟩⟩
· haveI K_char_p_0 := ringChar.of_eq r_zero
haveI K_char_zero : CharZero K := CharP.charP_to_charZero K
haveI R_char_zero := RingHom.charZero (LocalRing.residue R)
-- Finally, `r = 0` would lead to a contradiction:
have q_zero := CharP.eq R char_R_q (CharP.ofCharZero R)
exact absurd q_zero q_pos
| 0 |
import Mathlib.Topology.VectorBundle.Basic
#align_import topology.vector_bundle.hom from "leanprover-community/mathlib"@"8905e5ed90859939681a725b00f6063e65096d95"
noncomputable section
open scoped Bundle
open Bundle Set ContinuousLinearMap
variable {𝕜₁ : Type*} [NontriviallyNormedField 𝕜₁] {𝕜₂ : Type*} [NontriviallyNormedField 𝕜₂]
(σ : 𝕜₁ →+* 𝕜₂) [iσ : RingHomIsometric σ]
variable {B : Type*}
variable {F₁ : Type*} [NormedAddCommGroup F₁] [NormedSpace 𝕜₁ F₁] (E₁ : B → Type*)
[∀ x, AddCommGroup (E₁ x)] [∀ x, Module 𝕜₁ (E₁ x)] [TopologicalSpace (TotalSpace F₁ E₁)]
variable {F₂ : Type*} [NormedAddCommGroup F₂] [NormedSpace 𝕜₂ F₂] (E₂ : B → Type*)
[∀ x, AddCommGroup (E₂ x)] [∀ x, Module 𝕜₂ (E₂ x)] [TopologicalSpace (TotalSpace F₂ E₂)]
protected abbrev Bundle.ContinuousLinearMap [∀ x, TopologicalSpace (E₁ x)]
[∀ x, TopologicalSpace (E₂ x)] : B → Type _ := fun x => E₁ x →SL[σ] E₂ x
#align bundle.continuous_linear_map Bundle.ContinuousLinearMap
-- Porting note: possibly remove after the port
instance Bundle.ContinuousLinearMap.module [∀ x, TopologicalSpace (E₁ x)]
[∀ x, TopologicalSpace (E₂ x)] [∀ x, TopologicalAddGroup (E₂ x)]
[∀ x, ContinuousConstSMul 𝕜₂ (E₂ x)] : ∀ x, Module 𝕜₂ (Bundle.ContinuousLinearMap σ E₁ E₂ x) :=
fun _ => inferInstance
#align bundle.continuous_linear_map.module Bundle.ContinuousLinearMap.module
variable {E₁ E₂}
variable [TopologicalSpace B] (e₁ e₁' : Trivialization F₁ (π F₁ E₁))
(e₂ e₂' : Trivialization F₂ (π F₂ E₂))
namespace Pretrivialization
def continuousLinearMapCoordChange [e₁.IsLinear 𝕜₁] [e₁'.IsLinear 𝕜₁] [e₂.IsLinear 𝕜₂]
[e₂'.IsLinear 𝕜₂] (b : B) : (F₁ →SL[σ] F₂) →L[𝕜₂] F₁ →SL[σ] F₂ :=
((e₁'.coordChangeL 𝕜₁ e₁ b).symm.arrowCongrSL (e₂.coordChangeL 𝕜₂ e₂' b) :
(F₁ →SL[σ] F₂) ≃L[𝕜₂] F₁ →SL[σ] F₂)
#align pretrivialization.continuous_linear_map_coord_change Pretrivialization.continuousLinearMapCoordChange
variable {σ e₁ e₁' e₂ e₂'}
variable [∀ x, TopologicalSpace (E₁ x)] [FiberBundle F₁ E₁]
variable [∀ x, TopologicalSpace (E₂ x)] [ita : ∀ x, TopologicalAddGroup (E₂ x)] [FiberBundle F₂ E₂]
| Mathlib/Topology/VectorBundle/Hom.lean | 92 | 112 | theorem continuousOn_continuousLinearMapCoordChange [VectorBundle 𝕜₁ F₁ E₁] [VectorBundle 𝕜₂ F₂ E₂]
[MemTrivializationAtlas e₁] [MemTrivializationAtlas e₁'] [MemTrivializationAtlas e₂]
[MemTrivializationAtlas e₂'] :
ContinuousOn (continuousLinearMapCoordChange σ e₁ e₁' e₂ e₂')
(e₁.baseSet ∩ e₂.baseSet ∩ (e₁'.baseSet ∩ e₂'.baseSet)) := by |
have h₁ := (compSL F₁ F₂ F₂ σ (RingHom.id 𝕜₂)).continuous
have h₂ := (ContinuousLinearMap.flip (compSL F₁ F₁ F₂ (RingHom.id 𝕜₁) σ)).continuous
have h₃ := continuousOn_coordChange 𝕜₁ e₁' e₁
have h₄ := continuousOn_coordChange 𝕜₂ e₂ e₂'
refine ((h₁.comp_continuousOn (h₄.mono ?_)).clm_comp (h₂.comp_continuousOn (h₃.mono ?_))).congr ?_
· mfld_set_tac
· mfld_set_tac
· intro b _; ext L v
-- Porting note: was
-- simp only [continuousLinearMapCoordChange, ContinuousLinearEquiv.coe_coe,
-- ContinuousLinearEquiv.arrowCongrₛₗ_apply, LinearEquiv.toFun_eq_coe, coe_comp',
-- ContinuousLinearEquiv.arrowCongrSL_apply, comp_apply, Function.comp, compSL_apply,
-- flip_apply, ContinuousLinearEquiv.symm_symm]
-- Now `simp` fails to use `ContinuousLinearMap.comp_apply` in this case
dsimp [continuousLinearMapCoordChange]
rw [ContinuousLinearEquiv.symm_symm]
| 0 |
import Mathlib.Algebra.GroupWithZero.Semiconj
import Mathlib.Algebra.Group.Commute.Units
import Mathlib.Tactic.Nontriviality
#align_import algebra.group_with_zero.commute from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025"
#align_import algebra.group_with_zero.power from "leanprover-community/mathlib"@"46a64b5b4268c594af770c44d9e502afc6a515cb"
assert_not_exists DenselyOrdered
variable {α M₀ G₀ M₀' G₀' F F' : Type*}
variable [MonoidWithZero M₀]
namespace Ring
open scoped Classical
| Mathlib/Algebra/GroupWithZero/Commute.lean | 27 | 34 | theorem mul_inverse_rev' {a b : M₀} (h : Commute a b) :
inverse (a * b) = inverse b * inverse a := by |
by_cases hab : IsUnit (a * b)
· obtain ⟨⟨a, rfl⟩, b, rfl⟩ := h.isUnit_mul_iff.mp hab
rw [← Units.val_mul, inverse_unit, inverse_unit, inverse_unit, ← Units.val_mul, mul_inv_rev]
obtain ha | hb := not_and_or.mp (mt h.isUnit_mul_iff.mpr hab)
· rw [inverse_non_unit _ hab, inverse_non_unit _ ha, mul_zero]
· rw [inverse_non_unit _ hab, inverse_non_unit _ hb, zero_mul]
| 0 |
import Mathlib.Algebra.ContinuedFractions.Translations
#align_import algebra.continued_fractions.terminated_stable from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
namespace GeneralizedContinuedFraction
variable {K : Type*} {g : GeneralizedContinuedFraction K} {n m : ℕ}
theorem terminated_stable (n_le_m : n ≤ m) (terminated_at_n : g.TerminatedAt n) :
g.TerminatedAt m :=
g.s.terminated_stable n_le_m terminated_at_n
#align generalized_continued_fraction.terminated_stable GeneralizedContinuedFraction.terminated_stable
variable [DivisionRing K]
theorem continuantsAux_stable_step_of_terminated (terminated_at_n : g.TerminatedAt n) :
g.continuantsAux (n + 2) = g.continuantsAux (n + 1) := by
rw [terminatedAt_iff_s_none] at terminated_at_n
simp only [continuantsAux, Nat.add_eq, Nat.add_zero, terminated_at_n]
#align generalized_continued_fraction.continuants_aux_stable_step_of_terminated GeneralizedContinuedFraction.continuantsAux_stable_step_of_terminated
theorem continuantsAux_stable_of_terminated (n_lt_m : n < m) (terminated_at_n : g.TerminatedAt n) :
g.continuantsAux m = g.continuantsAux (n + 1) := by
refine Nat.le_induction rfl (fun k hnk hk => ?_) _ n_lt_m
rcases Nat.exists_eq_add_of_lt hnk with ⟨k, rfl⟩
refine (continuantsAux_stable_step_of_terminated ?_).trans hk
exact terminated_stable (Nat.le_add_right _ _) terminated_at_n
#align generalized_continued_fraction.continuants_aux_stable_of_terminated GeneralizedContinuedFraction.continuantsAux_stable_of_terminated
| Mathlib/Algebra/ContinuedFractions/TerminatedStable.lean | 45 | 58 | theorem convergents'Aux_stable_step_of_terminated {s : Stream'.Seq <| Pair K}
(terminated_at_n : s.TerminatedAt n) : convergents'Aux s (n + 1) = convergents'Aux s n := by |
change s.get? n = none at terminated_at_n
induction n generalizing s with
| zero => simp only [convergents'Aux, terminated_at_n, Stream'.Seq.head]
| succ n IH =>
cases s_head_eq : s.head with
| none => simp only [convergents'Aux, s_head_eq]
| some gp_head =>
have : s.tail.TerminatedAt n := by
simp only [Stream'.Seq.TerminatedAt, s.get?_tail, terminated_at_n]
have := IH this
rw [convergents'Aux] at this
simp [this, Nat.add_eq, add_zero, convergents'Aux, s_head_eq]
| 0 |
import Mathlib.Analysis.InnerProductSpace.Orientation
import Mathlib.MeasureTheory.Measure.Lebesgue.EqHaar
#align_import measure_theory.measure.haar.inner_product_space from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
open FiniteDimensional MeasureTheory MeasureTheory.Measure Set
variable {ι E F : Type*}
variable [Fintype ι] [NormedAddCommGroup F] [InnerProductSpace ℝ F] [FiniteDimensional ℝ F]
[MeasurableSpace F] [BorelSpace F]
section
variable {m n : ℕ} [_i : Fact (finrank ℝ F = n)]
theorem Orientation.measure_orthonormalBasis (o : Orientation ℝ F (Fin n))
(b : OrthonormalBasis ι ℝ F) : o.volumeForm.measure (parallelepiped b) = 1 := by
have e : ι ≃ Fin n := by
refine Fintype.equivFinOfCardEq ?_
rw [← _i.out, finrank_eq_card_basis b.toBasis]
have A : ⇑b = b.reindex e ∘ e := by
ext x
simp only [OrthonormalBasis.coe_reindex, Function.comp_apply, Equiv.symm_apply_apply]
rw [A, parallelepiped_comp_equiv, AlternatingMap.measure_parallelepiped,
o.abs_volumeForm_apply_of_orthonormal, ENNReal.ofReal_one]
#align orientation.measure_orthonormal_basis Orientation.measure_orthonormalBasis
theorem Orientation.measure_eq_volume (o : Orientation ℝ F (Fin n)) :
o.volumeForm.measure = volume := by
have A : o.volumeForm.measure (stdOrthonormalBasis ℝ F).toBasis.parallelepiped = 1 :=
Orientation.measure_orthonormalBasis o (stdOrthonormalBasis ℝ F)
rw [addHaarMeasure_unique o.volumeForm.measure
(stdOrthonormalBasis ℝ F).toBasis.parallelepiped, A, one_smul]
simp only [volume, Basis.addHaar]
#align orientation.measure_eq_volume Orientation.measure_eq_volume
end
theorem OrthonormalBasis.volume_parallelepiped (b : OrthonormalBasis ι ℝ F) :
volume (parallelepiped b) = 1 := by
haveI : Fact (finrank ℝ F = finrank ℝ F) := ⟨rfl⟩
let o := (stdOrthonormalBasis ℝ F).toBasis.orientation
rw [← o.measure_eq_volume]
exact o.measure_orthonormalBasis b
#align orthonormal_basis.volume_parallelepiped OrthonormalBasis.volume_parallelepiped
theorem OrthonormalBasis.addHaar_eq_volume {ι F : Type*} [Fintype ι] [NormedAddCommGroup F]
[InnerProductSpace ℝ F] [FiniteDimensional ℝ F] [MeasurableSpace F] [BorelSpace F]
(b : OrthonormalBasis ι ℝ F) :
b.toBasis.addHaar = volume := by
rw [Basis.addHaar_eq_iff]
exact b.volume_parallelepiped
noncomputable def OrthonormalBasis.measurableEquiv (b : OrthonormalBasis ι ℝ F) :
F ≃ᵐ EuclideanSpace ℝ ι := b.repr.toHomeomorph.toMeasurableEquiv
| Mathlib/MeasureTheory/Measure/Haar/InnerProductSpace.lean | 84 | 89 | theorem OrthonormalBasis.measurePreserving_measurableEquiv (b : OrthonormalBasis ι ℝ F) :
MeasurePreserving b.measurableEquiv volume volume := by |
convert (b.measurableEquiv.symm.measurable.measurePreserving _).symm
rw [← (EuclideanSpace.basisFun ι ℝ).addHaar_eq_volume]
erw [MeasurableEquiv.coe_toEquiv_symm, Basis.map_addHaar _ b.repr.symm.toContinuousLinearEquiv]
exact b.addHaar_eq_volume.symm
| 0 |
import Mathlib.Analysis.Fourier.AddCircle
import Mathlib.Analysis.Fourier.FourierTransform
import Mathlib.Analysis.PSeries
import Mathlib.Analysis.Distribution.SchwartzSpace
import Mathlib.MeasureTheory.Measure.Lebesgue.Integral
#align_import analysis.fourier.poisson_summation from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open Function hiding comp_apply
open Set hiding restrict_apply
open Complex hiding abs_of_nonneg
open Real
open TopologicalSpace Filter MeasureTheory Asymptotics
open scoped Real Filter FourierTransform
open ContinuousMap
theorem Real.fourierCoeff_tsum_comp_add {f : C(ℝ, ℂ)}
(hf : ∀ K : Compacts ℝ, Summable fun n : ℤ => ‖(f.comp (ContinuousMap.addRight n)).restrict K‖)
(m : ℤ) : fourierCoeff (Periodic.lift <| f.periodic_tsum_comp_add_zsmul 1) m = 𝓕 f m := by
-- NB: This proof can be shortened somewhat by telescoping together some of the steps in the calc
-- block, but I think it's more legible this way. We start with preliminaries about the integrand.
let e : C(ℝ, ℂ) := (fourier (-m)).comp ⟨((↑) : ℝ → UnitAddCircle), continuous_quotient_mk'⟩
have neK : ∀ (K : Compacts ℝ) (g : C(ℝ, ℂ)), ‖(e * g).restrict K‖ = ‖g.restrict K‖ := by
have (x : ℝ) : ‖e x‖ = 1 := abs_coe_circle (AddCircle.toCircle (-m • x))
intro K g
simp_rw [norm_eq_iSup_norm, restrict_apply, mul_apply, norm_mul, this, one_mul]
have eadd : ∀ (n : ℤ), e.comp (ContinuousMap.addRight n) = e := by
intro n; ext1 x
have : Periodic e 1 := Periodic.comp (fun x => AddCircle.coe_add_period 1 x) (fourier (-m))
simpa only [mul_one] using this.int_mul n x
-- Now the main argument. First unwind some definitions.
calc
fourierCoeff (Periodic.lift <| f.periodic_tsum_comp_add_zsmul 1) m =
∫ x in (0 : ℝ)..1, e x * (∑' n : ℤ, f.comp (ContinuousMap.addRight n)) x := by
simp_rw [fourierCoeff_eq_intervalIntegral _ m 0, div_one, one_smul, zero_add, e, comp_apply,
coe_mk, Periodic.lift_coe, zsmul_one, smul_eq_mul]
-- Transform sum in C(ℝ, ℂ) evaluated at x into pointwise sum of values.
_ = ∫ x in (0:ℝ)..1, ∑' n : ℤ, (e * f.comp (ContinuousMap.addRight n)) x := by
simp_rw [coe_mul, Pi.mul_apply,
← ContinuousMap.tsum_apply (summable_of_locally_summable_norm hf), tsum_mul_left]
-- Swap sum and integral.
_ = ∑' n : ℤ, ∫ x in (0:ℝ)..1, (e * f.comp (ContinuousMap.addRight n)) x := by
refine (intervalIntegral.tsum_intervalIntegral_eq_of_summable_norm ?_).symm
convert hf ⟨uIcc 0 1, isCompact_uIcc⟩ using 1
exact funext fun n => neK _ _
_ = ∑' n : ℤ, ∫ x in (0:ℝ)..1, (e * f).comp (ContinuousMap.addRight n) x := by
simp only [ContinuousMap.comp_apply, mul_comp] at eadd ⊢
simp_rw [eadd]
-- Rearrange sum of interval integrals into an integral over `ℝ`.
_ = ∫ x, e x * f x := by
suffices Integrable (e * f) from this.hasSum_intervalIntegral_comp_add_int.tsum_eq
apply integrable_of_summable_norm_Icc
convert hf ⟨Icc 0 1, isCompact_Icc⟩ using 1
simp_rw [mul_comp] at eadd ⊢
simp_rw [eadd]
exact funext fun n => neK ⟨Icc 0 1, isCompact_Icc⟩ _
-- Minor tidying to finish
_ = 𝓕 f m := by
rw [fourierIntegral_real_eq_integral_exp_smul]
congr 1 with x : 1
rw [smul_eq_mul, comp_apply, coe_mk, coe_mk, ContinuousMap.toFun_eq_coe, fourier_coe_apply]
congr 2
push_cast
ring
#align real.fourier_coeff_tsum_comp_add Real.fourierCoeff_tsum_comp_add
theorem Real.tsum_eq_tsum_fourierIntegral {f : C(ℝ, ℂ)}
(h_norm :
∀ K : Compacts ℝ, Summable fun n : ℤ => ‖(f.comp <| ContinuousMap.addRight n).restrict K‖)
(h_sum : Summable fun n : ℤ => 𝓕 f n) (x : ℝ) :
∑' n : ℤ, f (x + n) = ∑' n : ℤ, 𝓕 f n * fourier n (x : UnitAddCircle) := by
let F : C(UnitAddCircle, ℂ) :=
⟨(f.periodic_tsum_comp_add_zsmul 1).lift, continuous_coinduced_dom.mpr (map_continuous _)⟩
have : Summable (fourierCoeff F) := by
convert h_sum
exact Real.fourierCoeff_tsum_comp_add h_norm _
convert (has_pointwise_sum_fourier_series_of_summable this x).tsum_eq.symm using 1
· simpa only [F, coe_mk, ← QuotientAddGroup.mk_zero, Periodic.lift_coe, zsmul_one, comp_apply,
coe_addRight, zero_add]
using (hasSum_apply (summable_of_locally_summable_norm h_norm).hasSum x).tsum_eq
· simp_rw [← Real.fourierCoeff_tsum_comp_add h_norm, smul_eq_mul, F, coe_mk]
#align real.tsum_eq_tsum_fourier_integral Real.tsum_eq_tsum_fourierIntegral
section RpowDecay
variable {E : Type*} [NormedAddCommGroup E]
| Mathlib/Analysis/Fourier/PoissonSummation.lean | 131 | 157 | theorem isBigO_norm_Icc_restrict_atTop {f : C(ℝ, E)} {b : ℝ} (hb : 0 < b)
(hf : f =O[atTop] fun x : ℝ => |x| ^ (-b)) (R S : ℝ) :
(fun x : ℝ => ‖f.restrict (Icc (x + R) (x + S))‖) =O[atTop] fun x : ℝ => |x| ^ (-b) := by |
-- First establish an explicit estimate on decay of inverse powers.
-- This is logically independent of the rest of the proof, but of no mathematical interest in
-- itself, so it is proved in-line rather than being formulated as a separate lemma.
have claim : ∀ x : ℝ, max 0 (-2 * R) < x → ∀ y : ℝ, x + R ≤ y →
y ^ (-b) ≤ (1 / 2) ^ (-b) * x ^ (-b) := fun x hx y hy ↦ by
rw [max_lt_iff] at hx
obtain ⟨hx1, hx2⟩ := hx
rw [← mul_rpow] <;> try positivity
apply rpow_le_rpow_of_nonpos <;> linarith
-- Now the main proof.
obtain ⟨c, hc, hc'⟩ := hf.exists_pos
simp only [IsBigO, IsBigOWith, eventually_atTop] at hc' ⊢
obtain ⟨d, hd⟩ := hc'
refine ⟨c * (1 / 2) ^ (-b), ⟨max (1 + max 0 (-2 * R)) (d - R), fun x hx => ?_⟩⟩
rw [ge_iff_le, max_le_iff] at hx
have hx' : max 0 (-2 * R) < x := by linarith
rw [max_lt_iff] at hx'
rw [norm_norm, ContinuousMap.norm_le _ (by positivity)]
refine fun y => (hd y.1 (by linarith [hx.1, y.2.1])).trans ?_
have A : ∀ x : ℝ, 0 ≤ |x| ^ (-b) := fun x => by positivity
rw [mul_assoc, mul_le_mul_left hc, norm_of_nonneg (A _), norm_of_nonneg (A _)]
convert claim x (by linarith only [hx.1]) y.1 y.2.1
· apply abs_of_nonneg; linarith [y.2.1]
· exact abs_of_pos hx'.1
| 0 |
import Mathlib.LinearAlgebra.CliffordAlgebra.Conjugation
import Mathlib.LinearAlgebra.CliffordAlgebra.Even
import Mathlib.LinearAlgebra.QuadraticForm.Prod
import Mathlib.Tactic.LiftLets
#align_import linear_algebra.clifford_algebra.even_equiv from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
namespace CliffordAlgebra
variable {R M : Type*} [CommRing R] [AddCommGroup M] [Module R M]
variable (Q : QuadraticForm R M)
namespace EquivEven
abbrev Q' : QuadraticForm R (M × R) :=
Q.prod <| -@QuadraticForm.sq R _
set_option linter.uppercaseLean3 false in
#align clifford_algebra.equiv_even.Q' CliffordAlgebra.EquivEven.Q'
theorem Q'_apply (m : M × R) : Q' Q m = Q m.1 - m.2 * m.2 :=
(sub_eq_add_neg _ _).symm
set_option linter.uppercaseLean3 false in
#align clifford_algebra.equiv_even.Q'_apply CliffordAlgebra.EquivEven.Q'_apply
def e0 : CliffordAlgebra (Q' Q) :=
ι (Q' Q) (0, 1)
#align clifford_algebra.equiv_even.e0 CliffordAlgebra.EquivEven.e0
def v : M →ₗ[R] CliffordAlgebra (Q' Q) :=
ι (Q' Q) ∘ₗ LinearMap.inl _ _ _
#align clifford_algebra.equiv_even.v CliffordAlgebra.EquivEven.v
theorem ι_eq_v_add_smul_e0 (m : M) (r : R) : ι (Q' Q) (m, r) = v Q m + r • e0 Q := by
rw [e0, v, LinearMap.comp_apply, LinearMap.inl_apply, ← LinearMap.map_smul, Prod.smul_mk,
smul_zero, smul_eq_mul, mul_one, ← LinearMap.map_add, Prod.mk_add_mk, zero_add, add_zero]
#align clifford_algebra.equiv_even.ι_eq_v_add_smul_e0 CliffordAlgebra.EquivEven.ι_eq_v_add_smul_e0
theorem e0_mul_e0 : e0 Q * e0 Q = -1 :=
(ι_sq_scalar _ _).trans <| by simp
#align clifford_algebra.equiv_even.e0_mul_e0 CliffordAlgebra.EquivEven.e0_mul_e0
theorem v_sq_scalar (m : M) : v Q m * v Q m = algebraMap _ _ (Q m) :=
(ι_sq_scalar _ _).trans <| by simp
#align clifford_algebra.equiv_even.v_sq_scalar CliffordAlgebra.EquivEven.v_sq_scalar
| Mathlib/LinearAlgebra/CliffordAlgebra/EvenEquiv.lean | 82 | 86 | theorem neg_e0_mul_v (m : M) : -(e0 Q * v Q m) = v Q m * e0 Q := by |
refine neg_eq_of_add_eq_zero_right ((ι_mul_ι_add_swap _ _).trans ?_)
dsimp [QuadraticForm.polar]
simp only [add_zero, mul_zero, mul_one, zero_add, neg_zero, QuadraticForm.map_zero,
add_sub_cancel_right, sub_self, map_zero, zero_sub]
| 0 |
import Mathlib.Dynamics.BirkhoffSum.Basic
import Mathlib.Algebra.Module.Basic
open Finset
section birkhoffAverage
variable (R : Type*) {α M : Type*} [DivisionSemiring R] [AddCommMonoid M] [Module R M]
def birkhoffAverage (f : α → α) (g : α → M) (n : ℕ) (x : α) : M := (n : R)⁻¹ • birkhoffSum f g n x
theorem birkhoffAverage_zero (f : α → α) (g : α → M) (x : α) :
birkhoffAverage R f g 0 x = 0 := by simp [birkhoffAverage]
@[simp] theorem birkhoffAverage_zero' (f : α → α) (g : α → M) : birkhoffAverage R f g 0 = 0 :=
funext <| birkhoffAverage_zero _ _ _
theorem birkhoffAverage_one (f : α → α) (g : α → M) (x : α) :
birkhoffAverage R f g 1 x = g x := by simp [birkhoffAverage]
@[simp]
theorem birkhoffAverage_one' (f : α → α) (g : α → M) : birkhoffAverage R f g 1 = g :=
funext <| birkhoffAverage_one R f g
| Mathlib/Dynamics/BirkhoffSum/Average.lean | 57 | 61 | theorem map_birkhoffAverage (S : Type*) {F N : Type*}
[DivisionSemiring S] [AddCommMonoid N] [Module S N] [FunLike F M N]
[AddMonoidHomClass F M N] (g' : F) (f : α → α) (g : α → M) (n : ℕ) (x : α) :
g' (birkhoffAverage R f g n x) = birkhoffAverage S f (g' ∘ g) n x := by |
simp only [birkhoffAverage, map_inv_natCast_smul g' R S, map_birkhoffSum]
| 0 |
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff
import Mathlib.LinearAlgebra.Matrix.ToLin
#align_import linear_algebra.matrix.charpoly.linear_map from "leanprover-community/mathlib"@"62c0a4ef1441edb463095ea02a06e87f3dfe135c"
variable {ι : Type*} [Fintype ι]
variable {M : Type*} [AddCommGroup M] (R : Type*) [CommRing R] [Module R M] (I : Ideal R)
variable (b : ι → M) (hb : Submodule.span R (Set.range b) = ⊤)
open Polynomial Matrix
def PiToModule.fromMatrix [DecidableEq ι] : Matrix ι ι R →ₗ[R] (ι → R) →ₗ[R] M :=
(LinearMap.llcomp R _ _ _ (Fintype.total R R b)).comp algEquivMatrix'.symm.toLinearMap
#align pi_to_module.from_matrix PiToModule.fromMatrix
theorem PiToModule.fromMatrix_apply [DecidableEq ι] (A : Matrix ι ι R) (w : ι → R) :
PiToModule.fromMatrix R b A w = Fintype.total R R b (A *ᵥ w) :=
rfl
#align pi_to_module.from_matrix_apply PiToModule.fromMatrix_apply
theorem PiToModule.fromMatrix_apply_single_one [DecidableEq ι] (A : Matrix ι ι R) (j : ι) :
PiToModule.fromMatrix R b A (Pi.single j 1) = ∑ i : ι, A i j • b i := by
rw [PiToModule.fromMatrix_apply, Fintype.total_apply, Matrix.mulVec_single]
simp_rw [mul_one]
#align pi_to_module.from_matrix_apply_single_one PiToModule.fromMatrix_apply_single_one
def PiToModule.fromEnd : Module.End R M →ₗ[R] (ι → R) →ₗ[R] M :=
LinearMap.lcomp _ _ (Fintype.total R R b)
#align pi_to_module.from_End PiToModule.fromEnd
theorem PiToModule.fromEnd_apply (f : Module.End R M) (w : ι → R) :
PiToModule.fromEnd R b f w = f (Fintype.total R R b w) :=
rfl
#align pi_to_module.from_End_apply PiToModule.fromEnd_apply
theorem PiToModule.fromEnd_apply_single_one [DecidableEq ι] (f : Module.End R M) (i : ι) :
PiToModule.fromEnd R b f (Pi.single i 1) = f (b i) := by
rw [PiToModule.fromEnd_apply]
congr
convert Fintype.total_apply_single (S := R) R b i (1 : R)
rw [one_smul]
#align pi_to_module.from_End_apply_single_one PiToModule.fromEnd_apply_single_one
| Mathlib/LinearAlgebra/Matrix/Charpoly/LinearMap.lean | 68 | 75 | theorem PiToModule.fromEnd_injective (hb : Submodule.span R (Set.range b) = ⊤) :
Function.Injective (PiToModule.fromEnd R b) := by |
intro x y e
ext m
obtain ⟨m, rfl⟩ : m ∈ LinearMap.range (Fintype.total R R b) := by
rw [(Fintype.range_total R b).trans hb]
exact Submodule.mem_top
exact (LinearMap.congr_fun e m : _)
| 0 |
import Mathlib.Topology.ContinuousFunction.Basic
#align_import topology.continuous_function.cocompact_map from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
universe u v w
open Filter Set
structure CocompactMap (α : Type u) (β : Type v) [TopologicalSpace α] [TopologicalSpace β] extends
ContinuousMap α β : Type max u v where
cocompact_tendsto' : Tendsto toFun (cocompact α) (cocompact β)
#align cocompact_map CocompactMap
section
class CocompactMapClass (F : Type*) (α β : outParam Type*) [TopologicalSpace α]
[TopologicalSpace β] [FunLike F α β] extends ContinuousMapClass F α β : Prop where
cocompact_tendsto (f : F) : Tendsto f (cocompact α) (cocompact β)
#align cocompact_map_class CocompactMapClass
end
export CocompactMapClass (cocompact_tendsto)
namespace CocompactMap
section Basics
variable {α β γ δ : Type*} [TopologicalSpace α] [TopologicalSpace β] [TopologicalSpace γ]
[TopologicalSpace δ]
instance : FunLike (CocompactMap α β) α β where
coe f := f.toFun
coe_injective' f g h := by
obtain ⟨⟨_, _⟩, _⟩ := f
obtain ⟨⟨_, _⟩, _⟩ := g
congr
instance : CocompactMapClass (CocompactMap α β) α β where
map_continuous f := f.continuous_toFun
cocompact_tendsto f := f.cocompact_tendsto'
@[simp]
theorem coe_toContinuousMap {f : CocompactMap α β} : (f.toContinuousMap : α → β) = f :=
rfl
#align cocompact_map.coe_to_continuous_fun CocompactMap.coe_toContinuousMap
@[ext]
theorem ext {f g : CocompactMap α β} (h : ∀ x, f x = g x) : f = g :=
DFunLike.ext _ _ h
#align cocompact_map.ext CocompactMap.ext
protected def copy (f : CocompactMap α β) (f' : α → β) (h : f' = f) : CocompactMap α β where
toFun := f'
continuous_toFun := by
rw [h]
exact f.continuous_toFun
cocompact_tendsto' := by
simp_rw [h]
exact f.cocompact_tendsto'
#align cocompact_map.copy CocompactMap.copy
@[simp]
theorem coe_copy (f : CocompactMap α β) (f' : α → β) (h : f' = f) : ⇑(f.copy f' h) = f' :=
rfl
#align cocompact_map.coe_copy CocompactMap.coe_copy
theorem copy_eq (f : CocompactMap α β) (f' : α → β) (h : f' = f) : f.copy f' h = f :=
DFunLike.ext' h
#align cocompact_map.copy_eq CocompactMap.copy_eq
@[simp]
theorem coe_mk (f : C(α, β)) (h : Tendsto f (cocompact α) (cocompact β)) :
⇑(⟨f, h⟩ : CocompactMap α β) = f :=
rfl
#align cocompact_map.coe_mk CocompactMap.coe_mk
section
variable (α)
protected def id : CocompactMap α α :=
⟨ContinuousMap.id _, tendsto_id⟩
#align cocompact_map.id CocompactMap.id
@[simp]
theorem coe_id : ⇑(CocompactMap.id α) = id :=
rfl
#align cocompact_map.coe_id CocompactMap.coe_id
end
instance : Inhabited (CocompactMap α α) :=
⟨CocompactMap.id α⟩
def comp (f : CocompactMap β γ) (g : CocompactMap α β) : CocompactMap α γ :=
⟨f.toContinuousMap.comp g, (cocompact_tendsto f).comp (cocompact_tendsto g)⟩
#align cocompact_map.comp CocompactMap.comp
@[simp]
theorem coe_comp (f : CocompactMap β γ) (g : CocompactMap α β) : ⇑(comp f g) = f ∘ g :=
rfl
#align cocompact_map.coe_comp CocompactMap.coe_comp
@[simp]
theorem comp_apply (f : CocompactMap β γ) (g : CocompactMap α β) (a : α) : comp f g a = f (g a) :=
rfl
#align cocompact_map.comp_apply CocompactMap.comp_apply
@[simp]
theorem comp_assoc (f : CocompactMap γ δ) (g : CocompactMap β γ) (h : CocompactMap α β) :
(f.comp g).comp h = f.comp (g.comp h) :=
rfl
#align cocompact_map.comp_assoc CocompactMap.comp_assoc
@[simp]
theorem id_comp (f : CocompactMap α β) : (CocompactMap.id _).comp f = f :=
ext fun _ => rfl
#align cocompact_map.id_comp CocompactMap.id_comp
@[simp]
theorem comp_id (f : CocompactMap α β) : f.comp (CocompactMap.id _) = f :=
ext fun _ => rfl
#align cocompact_map.comp_id CocompactMap.comp_id
theorem tendsto_of_forall_preimage {f : α → β} (h : ∀ s, IsCompact s → IsCompact (f ⁻¹' s)) :
Tendsto f (cocompact α) (cocompact β) := fun s hs =>
match mem_cocompact.mp hs with
| ⟨t, ht, hts⟩ =>
mem_map.mpr (mem_cocompact.mpr ⟨f ⁻¹' t, h t ht, by simpa using preimage_mono hts⟩)
#align cocompact_map.tendsto_of_forall_preimage CocompactMap.tendsto_of_forall_preimage
| Mathlib/Topology/ContinuousFunction/CocompactMap.lean | 185 | 195 | theorem isCompact_preimage [T2Space β] (f : CocompactMap α β) ⦃s : Set β⦄ (hs : IsCompact s) :
IsCompact (f ⁻¹' s) := by |
obtain ⟨t, ht, hts⟩ :=
mem_cocompact'.mp
(by
simpa only [preimage_image_preimage, preimage_compl] using
mem_map.mp
(cocompact_tendsto f <|
mem_cocompact.mpr ⟨s, hs, compl_subset_compl.mpr (image_preimage_subset f _)⟩))
exact
ht.of_isClosed_subset (hs.isClosed.preimage <| map_continuous f) (by simpa using hts)
| 0 |
import Mathlib.Algebra.BigOperators.Group.Finset
import Mathlib.LinearAlgebra.Vandermonde
import Mathlib.RingTheory.Polynomial.Basic
#align_import linear_algebra.lagrange from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
open Polynomial
section PolynomialDetermination
namespace Polynomial
variable {R : Type*} [CommRing R] [IsDomain R] {f g : R[X]}
section Finset
open Function Fintype
variable (s : Finset R)
theorem eq_zero_of_degree_lt_of_eval_finset_eq_zero (degree_f_lt : f.degree < s.card)
(eval_f : ∀ x ∈ s, f.eval x = 0) : f = 0 := by
rw [← mem_degreeLT] at degree_f_lt
simp_rw [eval_eq_sum_degreeLTEquiv degree_f_lt] at eval_f
rw [← degreeLTEquiv_eq_zero_iff_eq_zero degree_f_lt]
exact
Matrix.eq_zero_of_forall_index_sum_mul_pow_eq_zero
(Injective.comp (Embedding.subtype _).inj' (equivFinOfCardEq (card_coe _)).symm.injective)
fun _ => eval_f _ (Finset.coe_mem _)
#align polynomial.eq_zero_of_degree_lt_of_eval_finset_eq_zero Polynomial.eq_zero_of_degree_lt_of_eval_finset_eq_zero
theorem eq_of_degree_sub_lt_of_eval_finset_eq (degree_fg_lt : (f - g).degree < s.card)
(eval_fg : ∀ x ∈ s, f.eval x = g.eval x) : f = g := by
rw [← sub_eq_zero]
refine eq_zero_of_degree_lt_of_eval_finset_eq_zero _ degree_fg_lt ?_
simp_rw [eval_sub, sub_eq_zero]
exact eval_fg
#align polynomial.eq_of_degree_sub_lt_of_eval_finset_eq Polynomial.eq_of_degree_sub_lt_of_eval_finset_eq
| Mathlib/LinearAlgebra/Lagrange.lean | 63 | 67 | theorem eq_of_degrees_lt_of_eval_finset_eq (degree_f_lt : f.degree < s.card)
(degree_g_lt : g.degree < s.card) (eval_fg : ∀ x ∈ s, f.eval x = g.eval x) : f = g := by |
rw [← mem_degreeLT] at degree_f_lt degree_g_lt
refine eq_of_degree_sub_lt_of_eval_finset_eq _ ?_ eval_fg
rw [← mem_degreeLT]; exact Submodule.sub_mem _ degree_f_lt degree_g_lt
| 0 |
import Mathlib.CategoryTheory.Sites.DenseSubsite
#align_import category_theory.sites.induced_topology from "leanprover-community/mathlib"@"ba43124c37cfe0009bbfc57505f9503ae0e8c1af"
namespace CategoryTheory
universe v u
open Limits Opposite Presieve
section
variable {C : Type*} [Category C] {D : Type*} [Category D] {G : C ⥤ D}
variable {J : GrothendieckTopology C} {K : GrothendieckTopology D}
variable (A : Type v) [Category.{u} A]
-- variables (A) [full G] [faithful G]
def LocallyCoverDense (K : GrothendieckTopology D) (G : C ⥤ D) : Prop :=
∀ ⦃X : C⦄ (T : K (G.obj X)), (T.val.functorPullback G).functorPushforward G ∈ K (G.obj X)
#align category_theory.locally_cover_dense CategoryTheory.LocallyCoverDense
namespace LocallyCoverDense
variable [G.Full] [G.Faithful] (Hld : LocallyCoverDense K G)
| Mathlib/CategoryTheory/Sites/InducedTopology.lean | 59 | 65 | theorem pushforward_cover_iff_cover_pullback {X : C} (S : Sieve X) :
K _ (S.functorPushforward G) ↔ ∃ T : K (G.obj X), T.val.functorPullback G = S := by |
constructor
· intro hS
exact ⟨⟨_, hS⟩, (Sieve.fullyFaithfulFunctorGaloisCoinsertion G X).u_l_eq S⟩
· rintro ⟨T, rfl⟩
exact Hld T
| 0 |
import Mathlib.Data.Int.Interval
import Mathlib.RingTheory.Binomial
import Mathlib.RingTheory.HahnSeries.PowerSeries
import Mathlib.RingTheory.HahnSeries.Summable
import Mathlib.FieldTheory.RatFunc.AsPolynomial
import Mathlib.RingTheory.Localization.FractionRing
#align_import ring_theory.laurent_series from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86"
universe u
open scoped Classical
open HahnSeries Polynomial
noncomputable section
abbrev LaurentSeries (R : Type u) [Zero R] :=
HahnSeries ℤ R
#align laurent_series LaurentSeries
variable {R : Type*}
namespace LaurentSeries
section Semiring
variable [Semiring R]
instance : Coe (PowerSeries R) (LaurentSeries R) :=
⟨HahnSeries.ofPowerSeries ℤ R⟩
#noalign laurent_series.coe_power_series
@[simp]
| Mathlib/RingTheory/LaurentSeries.lean | 87 | 89 | theorem coeff_coe_powerSeries (x : PowerSeries R) (n : ℕ) :
HahnSeries.coeff (x : LaurentSeries R) n = PowerSeries.coeff R n x := by |
rw [ofPowerSeries_apply_coeff]
| 0 |
import Mathlib.Topology.Baire.Lemmas
import Mathlib.Topology.Algebra.Group.Basic
open scoped Topology Pointwise
open MulAction Set Function
variable {G X : Type*} [TopologicalSpace G] [TopologicalSpace X]
[Group G] [TopologicalGroup G] [MulAction G X]
[SigmaCompactSpace G] [BaireSpace X] [T2Space X]
[ContinuousSMul G X] [IsPretransitive G X]
@[to_additive "Consider a sigma-compact additive group acting continuously and transitively on a
Baire space. Then the orbit map is open around zero. It follows in
`isOpenMap_vadd_of_sigmaCompact` that it is open around any point."]
theorem smul_singleton_mem_nhds_of_sigmaCompact
{U : Set G} (hU : U ∈ 𝓝 1) (x : X) : U • {x} ∈ 𝓝 x := by
obtain ⟨V, V_mem, V_closed, V_symm, VU⟩ : ∃ V ∈ 𝓝 (1 : G), IsClosed V ∧ V⁻¹ = V ∧ V * V ⊆ U :=
exists_closed_nhds_one_inv_eq_mul_subset hU
obtain ⟨s, s_count, hs⟩ : ∃ (s : Set G), s.Countable ∧ ⋃ g ∈ s, g • V = univ := by
apply countable_cover_nhds_of_sigma_compact (fun g ↦ ?_)
convert smul_mem_nhds g V_mem
simp only [smul_eq_mul, mul_one]
let K : ℕ → Set G := compactCovering G
let F : ℕ × s → Set X := fun p ↦ (K p.1 ∩ (p.2 : G) • V) • ({x} : Set X)
obtain ⟨⟨n, ⟨g, hg⟩⟩, hi⟩ : ∃ i, (interior (F i)).Nonempty := by
have : Nonempty X := ⟨x⟩
have : Encodable s := Countable.toEncodable s_count
apply nonempty_interior_of_iUnion_of_closed
· rintro ⟨n, ⟨g, hg⟩⟩
apply IsCompact.isClosed
suffices H : IsCompact ((fun (g : G) ↦ g • x) '' (K n ∩ g • V)) by
simpa only [F, smul_singleton] using H
apply IsCompact.image
· exact (isCompact_compactCovering G n).inter_right (V_closed.smul g)
· exact continuous_id.smul continuous_const
· apply eq_univ_iff_forall.2 (fun y ↦ ?_)
obtain ⟨h, rfl⟩ : ∃ h, h • x = y := exists_smul_eq G x y
obtain ⟨n, hn⟩ : ∃ n, h ∈ K n := exists_mem_compactCovering h
obtain ⟨g, gs, hg⟩ : ∃ g ∈ s, h ∈ g • V := exists_set_mem_of_union_eq_top s _ hs _
simp only [F, smul_singleton, mem_iUnion, mem_image, mem_inter_iff, Prod.exists,
Subtype.exists, exists_prop]
exact ⟨n, g, gs, h, ⟨hn, hg⟩, rfl⟩
have I : (interior ((g • V) • {x})).Nonempty := by
apply hi.mono
apply interior_mono
exact smul_subset_smul_right inter_subset_right
obtain ⟨y, hy⟩ : (interior (V • ({x} : Set X))).Nonempty := by
rw [smul_assoc, interior_smul] at I
exact smul_set_nonempty.1 I
obtain ⟨g', hg', rfl⟩ : ∃ g' ∈ V, g' • x = y := by simpa using interior_subset hy
have J : (g' ⁻¹ • V) • {x} ∈ 𝓝 x := by
apply mem_interior_iff_mem_nhds.1
rwa [smul_assoc, interior_smul, mem_inv_smul_set_iff]
have : (g'⁻¹ • V) • {x} ⊆ U • ({x} : Set X) := by
apply smul_subset_smul_right
apply Subset.trans (smul_set_subset_smul (inv_mem_inv.2 hg')) ?_
rw [V_symm]
exact VU
exact Filter.mem_of_superset J this
@[to_additive "Consider a sigma-compact additive group acting continuously and transitively on a
Baire space. Then the orbit map is open. This is a version of the open mapping theorem, valid
notably for the action of a sigma-compact locally compact group on a locally compact space."]
| Mathlib/Topology/Algebra/Group/OpenMapping.lean | 96 | 107 | theorem isOpenMap_smul_of_sigmaCompact (x : X) : IsOpenMap (fun (g : G) ↦ g • x) := by |
/- We have already proved the theorem around the basepoint of the orbit, in
`smul_singleton_mem_nhds_of_sigmaCompact`. The general statement follows around an arbitrary
point by changing basepoints. -/
simp_rw [isOpenMap_iff_nhds_le, Filter.le_map_iff]
intro g U hU
have : (· • x) = (· • (g • x)) ∘ (· * g⁻¹) := by
ext g
simp [smul_smul]
rw [this, image_comp, ← smul_singleton]
apply smul_singleton_mem_nhds_of_sigmaCompact
simpa using isOpenMap_mul_right g⁻¹ |>.image_mem_nhds hU
| 0 |
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"
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]
def expSeries : FormalMultilinearSeries 𝕂 𝔸 𝔸 := fun n =>
(n !⁻¹ : 𝕂) • ContinuousMultilinearMap.mkPiAlgebraFin 𝕂 n 𝔸
#align exp_series NormedSpace.expSeries
variable {𝔸}
noncomputable def exp (x : 𝔸) : 𝔸 :=
(expSeries 𝕂 𝔸).sum x
#align exp NormedSpace.exp
variable {𝕂}
theorem expSeries_apply_eq (x : 𝔸) (n : ℕ) :
(expSeries 𝕂 𝔸 n fun _ => x) = (n !⁻¹ : 𝕂) • x ^ n := by simp [expSeries]
#align exp_series_apply_eq NormedSpace.expSeries_apply_eq
theorem expSeries_apply_eq' (x : 𝔸) :
(fun n => expSeries 𝕂 𝔸 n fun _ => x) = fun n => (n !⁻¹ : 𝕂) • x ^ n :=
funext (expSeries_apply_eq x)
#align exp_series_apply_eq' NormedSpace.expSeries_apply_eq'
theorem expSeries_sum_eq (x : 𝔸) : (expSeries 𝕂 𝔸).sum x = ∑' n : ℕ, (n !⁻¹ : 𝕂) • x ^ n :=
tsum_congr fun n => expSeries_apply_eq x n
#align exp_series_sum_eq NormedSpace.expSeries_sum_eq
theorem exp_eq_tsum : exp 𝕂 = fun x : 𝔸 => ∑' n : ℕ, (n !⁻¹ : 𝕂) • x ^ n :=
funext expSeries_sum_eq
#align exp_eq_tsum NormedSpace.exp_eq_tsum
theorem expSeries_apply_zero (n : ℕ) :
(expSeries 𝕂 𝔸 n fun _ => (0 : 𝔸)) = Pi.single (f := fun _ => 𝔸) 0 1 n := by
rw [expSeries_apply_eq]
cases' n with n
· rw [pow_zero, Nat.factorial_zero, Nat.cast_one, inv_one, one_smul, Pi.single_eq_same]
· rw [zero_pow (Nat.succ_ne_zero _), smul_zero, Pi.single_eq_of_ne n.succ_ne_zero]
#align exp_series_apply_zero NormedSpace.expSeries_apply_zero
@[simp]
theorem exp_zero : exp 𝕂 (0 : 𝔸) = 1 := by
simp_rw [exp_eq_tsum, ← expSeries_apply_eq, expSeries_apply_zero, tsum_pi_single]
#align exp_zero NormedSpace.exp_zero
@[simp]
theorem exp_op [T2Space 𝔸] (x : 𝔸) : exp 𝕂 (MulOpposite.op x) = MulOpposite.op (exp 𝕂 x) := by
simp_rw [exp, expSeries_sum_eq, ← MulOpposite.op_pow, ← MulOpposite.op_smul, tsum_op]
#align exp_op NormedSpace.exp_op
@[simp]
theorem exp_unop [T2Space 𝔸] (x : 𝔸ᵐᵒᵖ) :
exp 𝕂 (MulOpposite.unop x) = MulOpposite.unop (exp 𝕂 x) := by
simp_rw [exp, expSeries_sum_eq, ← MulOpposite.unop_pow, ← MulOpposite.unop_smul, tsum_unop]
#align exp_unop NormedSpace.exp_unop
| Mathlib/Analysis/NormedSpace/Exponential.lean | 160 | 162 | theorem star_exp [T2Space 𝔸] [StarRing 𝔸] [ContinuousStar 𝔸] (x : 𝔸) :
star (exp 𝕂 x) = exp 𝕂 (star x) := by |
simp_rw [exp_eq_tsum, ← star_pow, ← star_inv_natCast_smul, ← tsum_star]
| 0 |
import Mathlib.Order.Filter.Partial
import Mathlib.Topology.Basic
#align_import topology.partial from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
open Filter
open Topology
variable {X Y : Type*} [TopologicalSpace X]
theorem rtendsto_nhds {r : Rel Y X} {l : Filter Y} {x : X} :
RTendsto r l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → r.core s ∈ l :=
all_mem_nhds_filter _ _ (fun _s _t => id) _
#align rtendsto_nhds rtendsto_nhds
| Mathlib/Topology/Partial.lean | 30 | 34 | theorem rtendsto'_nhds {r : Rel Y X} {l : Filter Y} {x : X} :
RTendsto' r l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → r.preimage s ∈ l := by |
rw [rtendsto'_def]
apply all_mem_nhds_filter
apply Rel.preimage_mono
| 0 |
import Mathlib.CategoryTheory.Monoidal.Braided.Basic
import Mathlib.CategoryTheory.Monoidal.OfChosenFiniteProducts.Basic
#align_import category_theory.monoidal.of_chosen_finite_products.symmetric from "leanprover-community/mathlib"@"95a87616d63b3cb49d3fe678d416fbe9c4217bf4"
universe v u
namespace CategoryTheory
variable {C : Type u} [Category.{v} C] {X Y : C}
open CategoryTheory.Limits
variable (𝒯 : LimitCone (Functor.empty.{0} C))
variable (ℬ : ∀ X Y : C, LimitCone (pair X Y))
open MonoidalOfChosenFiniteProducts
namespace MonoidalOfChosenFiniteProducts
open MonoidalCategory
| Mathlib/CategoryTheory/Monoidal/OfChosenFiniteProducts/Symmetric.lean | 34 | 39 | theorem braiding_naturality {X X' Y Y' : C} (f : X ⟶ Y) (g : X' ⟶ Y') :
tensorHom ℬ f g ≫ (Limits.BinaryFan.braiding (ℬ Y Y').isLimit (ℬ Y' Y).isLimit).hom =
(Limits.BinaryFan.braiding (ℬ X X').isLimit (ℬ X' X).isLimit).hom ≫ tensorHom ℬ g f := by |
dsimp [tensorHom, Limits.BinaryFan.braiding]
apply (ℬ _ _).isLimit.hom_ext
rintro ⟨⟨⟩⟩ <;> · dsimp [Limits.IsLimit.conePointUniqueUpToIso]; simp
| 0 |
import Mathlib.Analysis.Complex.Basic
import Mathlib.Analysis.RCLike.Lemmas
import Mathlib.Topology.TietzeExtension
import Mathlib.Analysis.NormedSpace.HomeomorphBall
import Mathlib.Analysis.NormedSpace.RCLike
universe u u₁ v w
-- this is not an instance because Lean cannot determine `𝕜`.
theorem TietzeExtension.of_tvs (𝕜 : Type v) [NontriviallyNormedField 𝕜] {E : Type w}
[AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E] [TopologicalAddGroup E] [ContinuousSMul 𝕜 E]
[T2Space E] [FiniteDimensional 𝕜 E] [CompleteSpace 𝕜] [TietzeExtension.{u, v} 𝕜] :
TietzeExtension.{u, w} E :=
Basis.ofVectorSpace 𝕜 E |>.equivFun.toContinuousLinearEquiv.toHomeomorph |> .of_homeo
instance Complex.instTietzeExtension : TietzeExtension ℂ :=
TietzeExtension.of_tvs ℝ
instance (priority := 900) RCLike.instTietzeExtension {𝕜 : Type*} [RCLike 𝕜] :
TietzeExtension 𝕜 := TietzeExtension.of_tvs ℝ
instance RCLike.instTietzeExtensionTVS {𝕜 : Type v} [RCLike 𝕜] {E : Type w}
[AddCommGroup E] [Module 𝕜 E] [TopologicalSpace E] [TopologicalAddGroup E]
[ContinuousSMul 𝕜 E] [T2Space E] [FiniteDimensional 𝕜 E] :
TietzeExtension.{u, w} E :=
TietzeExtension.of_tvs 𝕜
instance Set.instTietzeExtensionUnitBall {𝕜 : Type v} [RCLike 𝕜] {E : Type w}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] [FiniteDimensional 𝕜 E] :
TietzeExtension.{u, w} (Metric.ball (0 : E) 1) :=
have : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ 𝕜 E
.of_homeo Homeomorph.unitBall.symm
instance Set.instTietzeExtensionUnitClosedBall {𝕜 : Type v} [RCLike 𝕜] {E : Type w}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] [FiniteDimensional 𝕜 E] :
TietzeExtension.{u, w} (Metric.closedBall (0 : E) 1) := by
have : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ 𝕜 E
have : IsScalarTower ℝ 𝕜 E := Real.isScalarTower
-- I didn't find this retract in Mathlib.
let g : E → E := fun x ↦ ‖x‖⁻¹ • x
classical
suffices this : Continuous (piecewise (Metric.closedBall 0 1) id g) by
refine .of_retract ⟨Subtype.val, by continuity⟩ ⟨_, this.codRestrict fun x ↦ ?_⟩ ?_
· by_cases hx : x ∈ Metric.closedBall 0 1
· simpa [piecewise_eq_of_mem (hi := hx)] using hx
· simp only [g, piecewise_eq_of_not_mem (hi := hx), RCLike.real_smul_eq_coe_smul (K := 𝕜)]
by_cases hx' : x = 0 <;> simp [hx']
· ext x
simp [piecewise_eq_of_mem (hi := x.property)]
refine continuous_piecewise (fun x hx ↦ ?_) continuousOn_id ?_
· replace hx : ‖x‖ = 1 := by simpa [frontier_closedBall (0 : E) one_ne_zero] using hx
simp [g, hx]
· refine continuousOn_id.norm.inv₀ ?_ |>.smul continuousOn_id
simp only [closure_compl, interior_closedBall (0 : E) one_ne_zero, mem_compl_iff,
Metric.mem_ball, dist_zero_right, not_lt, id_eq, ne_eq, norm_eq_zero]
exact fun x hx ↦ norm_pos_iff.mp <| one_pos.trans_le hx
theorem Metric.instTietzeExtensionBall {𝕜 : Type v} [RCLike 𝕜] {E : Type w}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] [FiniteDimensional 𝕜 E] {r : ℝ} (hr : 0 < r) :
TietzeExtension.{u, w} (Metric.ball (0 : E) r) :=
have : NormedSpace ℝ E := NormedSpace.restrictScalars ℝ 𝕜 E
.of_homeo <| show (Metric.ball (0 : E) r) ≃ₜ (Metric.ball (0 : E) 1) from
PartialHomeomorph.unitBallBall (0 : E) r hr |>.toHomeomorphSourceTarget.symm
theorem Metric.instTietzeExtensionClosedBall (𝕜 : Type v) [RCLike 𝕜] {E : Type w}
[NormedAddCommGroup E] [NormedSpace 𝕜 E] [FiniteDimensional 𝕜 E] (y : E) {r : ℝ} (hr : 0 < r) :
TietzeExtension.{u, w} (Metric.closedBall y r) :=
.of_homeo <| by
show (Metric.closedBall y r) ≃ₜ (Metric.closedBall (0 : E) 1)
symm
apply (DilationEquiv.smulTorsor y (k := (r : 𝕜)) <| by exact_mod_cast hr.ne').toHomeomorph.sets
ext x
simp only [mem_closedBall, dist_zero_right, DilationEquiv.coe_toHomeomorph, Set.mem_preimage,
DilationEquiv.smulTorsor_apply, vadd_eq_add, dist_add_self_left, norm_smul,
RCLike.norm_ofReal, abs_of_nonneg hr.le]
exact (mul_le_iff_le_one_right hr).symm
variable {X : Type u} [TopologicalSpace X] [NormalSpace X] {s : Set X} (hs : IsClosed s)
variable (𝕜 : Type v) [RCLike 𝕜] [TietzeExtension.{u, v} 𝕜]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E] [FiniteDimensional 𝕜 E]
namespace BoundedContinuousFunction
| Mathlib/Analysis/Complex/Tietze.lean | 105 | 118 | theorem exists_norm_eq_restrict_eq (f : s →ᵇ E) :
∃ g : X →ᵇ E, ‖g‖ = ‖f‖ ∧ g.restrict s = f := by |
by_cases hf : ‖f‖ = 0; · exact ⟨0, by aesop⟩
have := Metric.instTietzeExtensionClosedBall.{u, v} 𝕜 (0 : E) (by aesop : 0 < ‖f‖)
have hf' x : f x ∈ Metric.closedBall 0 ‖f‖ := by simpa using f.norm_coe_le_norm x
obtain ⟨g, hg_mem, hg⟩ := (f : C(s, E)).exists_forall_mem_restrict_eq hs hf'
simp only [Metric.mem_closedBall, dist_zero_right] at hg_mem
let g' : X →ᵇ E := .ofNormedAddCommGroup g (map_continuous g) ‖f‖ hg_mem
refine ⟨g', ?_, by ext x; congrm($(hg) x)⟩
apply le_antisymm ((g'.norm_le <| by positivity).mpr hg_mem)
refine (f.norm_le <| by positivity).mpr fun x ↦ ?_
have hx : f x = g' x := by simpa using congr($(hg) x).symm
rw [hx]
exact g'.norm_le (norm_nonneg g') |>.mp le_rfl x
| 0 |
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Interval.Set.IsoIoo
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Topology.UrysohnsBounded
#align_import topology.tietze_extension from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
section TietzeExtensionClass
universe u u₁ u₂ v w
-- TODO: define *absolute retracts* and then prove they satisfy Tietze extension.
-- Then make instances of that instead and remove this class.
class TietzeExtension (Y : Type v) [TopologicalSpace Y] : Prop where
exists_restrict_eq' {X : Type u} [TopologicalSpace X] [NormalSpace X] (s : Set X)
(hs : IsClosed s) (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f
variable {X₁ : Type u₁} [TopologicalSpace X₁]
variable {X : Type u} [TopologicalSpace X] [NormalSpace X] {s : Set X} (hs : IsClosed s)
variable {e : X₁ → X} (he : ClosedEmbedding e)
variable {Y : Type v} [TopologicalSpace Y] [TietzeExtension.{u, v} Y]
theorem ContinuousMap.exists_restrict_eq (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f :=
TietzeExtension.exists_restrict_eq' s hs f
#align continuous_map.exists_restrict_eq_of_closed ContinuousMap.exists_restrict_eq
theorem ContinuousMap.exists_extension (f : C(X₁, Y)) :
∃ (g : C(X, Y)), g.comp ⟨e, he.continuous⟩ = f := by
let e' : X₁ ≃ₜ Set.range e := Homeomorph.ofEmbedding _ he.toEmbedding
obtain ⟨g, hg⟩ := (f.comp e'.symm).exists_restrict_eq he.isClosed_range
exact ⟨g, by ext x; simpa using congr($(hg) ⟨e' x, x, rfl⟩)⟩
theorem ContinuousMap.exists_extension' (f : C(X₁, Y)) : ∃ (g : C(X, Y)), g ∘ e = f :=
f.exists_extension he |>.imp fun g hg ↦ by ext x; congrm($(hg) x)
#align continuous_map.exists_extension_of_closed_embedding ContinuousMap.exists_extension'
theorem ContinuousMap.exists_forall_mem_restrict_eq {Y : Type v} [TopologicalSpace Y] (f : C(s, Y))
{t : Set Y} (hf : ∀ x, f x ∈ t) [ht : TietzeExtension.{u, v} t] :
∃ (g : C(X, Y)), (∀ x, g x ∈ t) ∧ g.restrict s = f := by
obtain ⟨g, hg⟩ := mk _ (map_continuous f |>.codRestrict hf) |>.exists_restrict_eq hs
exact ⟨comp ⟨Subtype.val, by continuity⟩ g, by simp, by ext x; congrm(($(hg) x : Y))⟩
theorem ContinuousMap.exists_extension_forall_mem {Y : Type v} [TopologicalSpace Y] (f : C(X₁, Y))
{t : Set Y} (hf : ∀ x, f x ∈ t) [ht : TietzeExtension.{u, v} t] :
∃ (g : C(X, Y)), (∀ x, g x ∈ t) ∧ g.comp ⟨e, he.continuous⟩ = f := by
obtain ⟨g, hg⟩ := mk _ (map_continuous f |>.codRestrict hf) |>.exists_extension he
exact ⟨comp ⟨Subtype.val, by continuity⟩ g, by simp, by ext x; congrm(($(hg) x : Y))⟩
instance Pi.instTietzeExtension {ι : Type*} {Y : ι → Type v} [∀ i, TopologicalSpace (Y i)]
[∀ i, TietzeExtension (Y i)] : TietzeExtension (∀ i, Y i) where
exists_restrict_eq' s hs f := by
obtain ⟨g', hg'⟩ := Classical.skolem.mp <| fun i ↦
ContinuousMap.exists_restrict_eq hs (ContinuousMap.piEquiv _ _ |>.symm f i)
exact ⟨ContinuousMap.piEquiv _ _ g', by ext x i; congrm($(hg' i) x)⟩
instance Prod.instTietzeExtension {Y : Type v} {Z : Type w} [TopologicalSpace Y]
[TietzeExtension.{u, v} Y] [TopologicalSpace Z] [TietzeExtension.{u, w} Z] :
TietzeExtension (Y × Z) where
exists_restrict_eq' s hs f := by
obtain ⟨g₁, hg₁⟩ := (ContinuousMap.fst.comp f).exists_restrict_eq hs
obtain ⟨g₂, hg₂⟩ := (ContinuousMap.snd.comp f).exists_restrict_eq hs
exact ⟨g₁.prodMk g₂, by ext1 x; congrm(($(hg₁) x), $(hg₂) x)⟩
instance Unique.instTietzeExtension {Y : Type v} [TopologicalSpace Y] [Unique Y] :
TietzeExtension.{u, v} Y where
exists_restrict_eq' _ _ f := ⟨.const _ default, by ext x; exact Subsingleton.elim _ _⟩
| Mathlib/Topology/TietzeExtension.lean | 134 | 143 | theorem TietzeExtension.of_retract {Y : Type v} {Z : Type w} [TopologicalSpace Y]
[TopologicalSpace Z] [TietzeExtension.{u, w} Z] (ι : C(Y, Z)) (r : C(Z, Y))
(h : r.comp ι = .id Y) : TietzeExtension.{u, v} Y where
exists_restrict_eq' s hs f := by |
obtain ⟨g, hg⟩ := (ι.comp f).exists_restrict_eq hs
use r.comp g
ext1 x
have := congr(r.comp $(hg))
rw [← r.comp_assoc ι, h, f.id_comp] at this
congrm($this x)
| 0 |
import Mathlib.Algebra.GroupWithZero.Divisibility
import Mathlib.Algebra.Order.Ring.Nat
import Mathlib.Tactic.NthRewrite
#align_import data.nat.gcd.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
namespace Nat
theorem gcd_greatest {a b d : ℕ} (hda : d ∣ a) (hdb : d ∣ b) (hd : ∀ e : ℕ, e ∣ a → e ∣ b → e ∣ d) :
d = a.gcd b :=
(dvd_antisymm (hd _ (gcd_dvd_left a b) (gcd_dvd_right a b)) (dvd_gcd hda hdb)).symm
#align nat.gcd_greatest Nat.gcd_greatest
@[simp]
theorem gcd_add_mul_right_right (m n k : ℕ) : gcd m (n + k * m) = gcd m n := by
simp [gcd_rec m (n + k * m), gcd_rec m n]
#align nat.gcd_add_mul_right_right Nat.gcd_add_mul_right_right
@[simp]
theorem gcd_add_mul_left_right (m n k : ℕ) : gcd m (n + m * k) = gcd m n := by
simp [gcd_rec m (n + m * k), gcd_rec m n]
#align nat.gcd_add_mul_left_right Nat.gcd_add_mul_left_right
@[simp]
theorem gcd_mul_right_add_right (m n k : ℕ) : gcd m (k * m + n) = gcd m n := by simp [add_comm _ n]
#align nat.gcd_mul_right_add_right Nat.gcd_mul_right_add_right
@[simp]
theorem gcd_mul_left_add_right (m n k : ℕ) : gcd m (m * k + n) = gcd m n := by simp [add_comm _ n]
#align nat.gcd_mul_left_add_right Nat.gcd_mul_left_add_right
@[simp]
theorem gcd_add_mul_right_left (m n k : ℕ) : gcd (m + k * n) n = gcd m n := by
rw [gcd_comm, gcd_add_mul_right_right, gcd_comm]
#align nat.gcd_add_mul_right_left Nat.gcd_add_mul_right_left
@[simp]
theorem gcd_add_mul_left_left (m n k : ℕ) : gcd (m + n * k) n = gcd m n := by
rw [gcd_comm, gcd_add_mul_left_right, gcd_comm]
#align nat.gcd_add_mul_left_left Nat.gcd_add_mul_left_left
@[simp]
theorem gcd_mul_right_add_left (m n k : ℕ) : gcd (k * n + m) n = gcd m n := by
rw [gcd_comm, gcd_mul_right_add_right, gcd_comm]
#align nat.gcd_mul_right_add_left Nat.gcd_mul_right_add_left
@[simp]
theorem gcd_mul_left_add_left (m n k : ℕ) : gcd (n * k + m) n = gcd m n := by
rw [gcd_comm, gcd_mul_left_add_right, gcd_comm]
#align nat.gcd_mul_left_add_left Nat.gcd_mul_left_add_left
@[simp]
theorem gcd_add_self_right (m n : ℕ) : gcd m (n + m) = gcd m n :=
Eq.trans (by rw [one_mul]) (gcd_add_mul_right_right m n 1)
#align nat.gcd_add_self_right Nat.gcd_add_self_right
@[simp]
theorem gcd_add_self_left (m n : ℕ) : gcd (m + n) n = gcd m n := by
rw [gcd_comm, gcd_add_self_right, gcd_comm]
#align nat.gcd_add_self_left Nat.gcd_add_self_left
@[simp]
theorem gcd_self_add_left (m n : ℕ) : gcd (m + n) m = gcd n m := by rw [add_comm, gcd_add_self_left]
#align nat.gcd_self_add_left Nat.gcd_self_add_left
@[simp]
theorem gcd_self_add_right (m n : ℕ) : gcd m (m + n) = gcd m n := by
rw [add_comm, gcd_add_self_right]
#align nat.gcd_self_add_right Nat.gcd_self_add_right
@[simp]
| Mathlib/Data/Nat/GCD/Basic.lean | 96 | 99 | theorem gcd_sub_self_left {m n : ℕ} (h : m ≤ n) : gcd (n - m) m = gcd n m := by |
calc
gcd (n - m) m = gcd (n - m + m) m := by rw [← gcd_add_self_left (n - m) m]
_ = gcd n m := by rw [Nat.sub_add_cancel h]
| 0 |
import Mathlib.Probability.Kernel.MeasurableIntegral
import Mathlib.MeasureTheory.Integral.SetIntegral
#align_import probability.kernel.with_density from "leanprover-community/mathlib"@"c0d694db494dd4f9aa57f2714b6e4c82b4ebc113"
open MeasureTheory ProbabilityTheory
open scoped MeasureTheory ENNReal NNReal
namespace ProbabilityTheory.kernel
variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
variable {κ : kernel α β} {f : α → β → ℝ≥0∞}
noncomputable def withDensity (κ : kernel α β) [IsSFiniteKernel κ] (f : α → β → ℝ≥0∞) :
kernel α β :=
@dite _ (Measurable (Function.uncurry f)) (Classical.dec _) (fun hf =>
(⟨fun a => (κ a).withDensity (f a),
by
refine Measure.measurable_of_measurable_coe _ fun s hs => ?_
simp_rw [withDensity_apply _ hs]
exact hf.set_lintegral_kernel_prod_right hs⟩ : kernel α β)) fun _ => 0
#align probability_theory.kernel.with_density ProbabilityTheory.kernel.withDensity
theorem withDensity_of_not_measurable (κ : kernel α β) [IsSFiniteKernel κ]
(hf : ¬Measurable (Function.uncurry f)) : withDensity κ f = 0 := by classical exact dif_neg hf
#align probability_theory.kernel.with_density_of_not_measurable ProbabilityTheory.kernel.withDensity_of_not_measurable
protected theorem withDensity_apply (κ : kernel α β) [IsSFiniteKernel κ]
(hf : Measurable (Function.uncurry f)) (a : α) :
withDensity κ f a = (κ a).withDensity (f a) := by
classical
rw [withDensity, dif_pos hf]
rfl
#align probability_theory.kernel.with_density_apply ProbabilityTheory.kernel.withDensity_apply
protected theorem withDensity_apply' (κ : kernel α β) [IsSFiniteKernel κ]
(hf : Measurable (Function.uncurry f)) (a : α) (s : Set β) :
withDensity κ f a s = ∫⁻ b in s, f a b ∂κ a := by
rw [kernel.withDensity_apply κ hf, withDensity_apply' _ s]
#align probability_theory.kernel.with_density_apply' ProbabilityTheory.kernel.withDensity_apply'
nonrec lemma withDensity_congr_ae (κ : kernel α β) [IsSFiniteKernel κ] {f g : α → β → ℝ≥0∞}
(hf : Measurable (Function.uncurry f)) (hg : Measurable (Function.uncurry g))
(hfg : ∀ a, f a =ᵐ[κ a] g a) :
withDensity κ f = withDensity κ g := by
ext a
rw [kernel.withDensity_apply _ hf,kernel.withDensity_apply _ hg, withDensity_congr_ae (hfg a)]
nonrec lemma withDensity_absolutelyContinuous [IsSFiniteKernel κ]
(f : α → β → ℝ≥0∞) (a : α) :
kernel.withDensity κ f a ≪ κ a := by
by_cases hf : Measurable (Function.uncurry f)
· rw [kernel.withDensity_apply _ hf]
exact withDensity_absolutelyContinuous _ _
· rw [withDensity_of_not_measurable _ hf]
simp [Measure.AbsolutelyContinuous.zero]
@[simp]
lemma withDensity_one (κ : kernel α β) [IsSFiniteKernel κ] :
kernel.withDensity κ 1 = κ := by
ext; rw [kernel.withDensity_apply _ measurable_const]; simp
@[simp]
lemma withDensity_one' (κ : kernel α β) [IsSFiniteKernel κ] :
kernel.withDensity κ (fun _ _ ↦ 1) = κ := kernel.withDensity_one _
@[simp]
lemma withDensity_zero (κ : kernel α β) [IsSFiniteKernel κ] :
kernel.withDensity κ 0 = 0 := by
ext; rw [kernel.withDensity_apply _ measurable_const]; simp
@[simp]
lemma withDensity_zero' (κ : kernel α β) [IsSFiniteKernel κ] :
kernel.withDensity κ (fun _ _ ↦ 0) = 0 := kernel.withDensity_zero _
theorem lintegral_withDensity (κ : kernel α β) [IsSFiniteKernel κ]
(hf : Measurable (Function.uncurry f)) (a : α) {g : β → ℝ≥0∞} (hg : Measurable g) :
∫⁻ b, g b ∂withDensity κ f a = ∫⁻ b, f a b * g b ∂κ a := by
rw [kernel.withDensity_apply _ hf,
lintegral_withDensity_eq_lintegral_mul _ (Measurable.of_uncurry_left hf) hg]
simp_rw [Pi.mul_apply]
#align probability_theory.kernel.lintegral_with_density ProbabilityTheory.kernel.lintegral_withDensity
theorem integral_withDensity {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
{f : β → E} [IsSFiniteKernel κ] {a : α} {g : α → β → ℝ≥0}
(hg : Measurable (Function.uncurry g)) :
∫ b, f b ∂withDensity κ (fun a b => g a b) a = ∫ b, g a b • f b ∂κ a := by
rw [kernel.withDensity_apply, integral_withDensity_eq_integral_smul]
· exact Measurable.of_uncurry_left hg
· exact measurable_coe_nnreal_ennreal.comp hg
#align probability_theory.kernel.integral_with_density ProbabilityTheory.kernel.integral_withDensity
theorem withDensity_add_left (κ η : kernel α β) [IsSFiniteKernel κ] [IsSFiniteKernel η]
(f : α → β → ℝ≥0∞) : withDensity (κ + η) f = withDensity κ f + withDensity η f := by
by_cases hf : Measurable (Function.uncurry f)
· ext a s
simp only [kernel.withDensity_apply _ hf, coeFn_add, Pi.add_apply, withDensity_add_measure,
Measure.add_apply]
· simp_rw [withDensity_of_not_measurable _ hf]
rw [zero_add]
#align probability_theory.kernel.with_density_add_left ProbabilityTheory.kernel.withDensity_add_left
| Mathlib/Probability/Kernel/WithDensity.lean | 135 | 144 | theorem withDensity_kernel_sum [Countable ι] (κ : ι → kernel α β) (hκ : ∀ i, IsSFiniteKernel (κ i))
(f : α → β → ℝ≥0∞) :
@withDensity _ _ _ _ (kernel.sum κ) (isSFiniteKernel_sum hκ) f =
kernel.sum fun i => withDensity (κ i) f := by |
by_cases hf : Measurable (Function.uncurry f)
· ext1 a
simp_rw [sum_apply, kernel.withDensity_apply _ hf, sum_apply,
withDensity_sum (fun n => κ n a) (f a)]
· simp_rw [withDensity_of_not_measurable _ hf]
exact sum_zero.symm
| 0 |
import Mathlib.Algebra.Group.Equiv.Basic
import Mathlib.Algebra.Group.Aut
import Mathlib.Data.ZMod.Defs
import Mathlib.Tactic.Ring
#align_import algebra.quandle from "leanprover-community/mathlib"@"28aa996fc6fb4317f0083c4e6daf79878d81be33"
open MulOpposite
universe u v
class Shelf (α : Type u) where
act : α → α → α
self_distrib : ∀ {x y z : α}, act x (act y z) = act (act x y) (act x z)
#align shelf Shelf
class UnitalShelf (α : Type u) extends Shelf α, One α :=
(one_act : ∀ a : α, act 1 a = a)
(act_one : ∀ a : α, act a 1 = a)
#align unital_shelf UnitalShelf
@[ext]
structure ShelfHom (S₁ : Type*) (S₂ : Type*) [Shelf S₁] [Shelf S₂] where
toFun : S₁ → S₂
map_act' : ∀ {x y : S₁}, toFun (Shelf.act x y) = Shelf.act (toFun x) (toFun y)
#align shelf_hom ShelfHom
#align shelf_hom.ext_iff ShelfHom.ext_iff
#align shelf_hom.ext ShelfHom.ext
class Rack (α : Type u) extends Shelf α where
invAct : α → α → α
left_inv : ∀ x, Function.LeftInverse (invAct x) (act x)
right_inv : ∀ x, Function.RightInverse (invAct x) (act x)
#align rack Rack
scoped[Quandles] infixr:65 " ◃ " => Shelf.act
scoped[Quandles] infixr:65 " ◃⁻¹ " => Rack.invAct
scoped[Quandles] infixr:25 " →◃ " => ShelfHom
open Quandles
namespace Rack
variable {R : Type*} [Rack R]
-- Porting note: No longer a need for `Rack.self_distrib`
export Shelf (self_distrib)
-- porting note, changed name to `act'` to not conflict with `Shelf.act`
def act' (x : R) : R ≃ R where
toFun := Shelf.act x
invFun := invAct x
left_inv := left_inv x
right_inv := right_inv x
#align rack.act Rack.act'
@[simp]
theorem act'_apply (x y : R) : act' x y = x ◃ y :=
rfl
#align rack.act_apply Rack.act'_apply
@[simp]
theorem act'_symm_apply (x y : R) : (act' x).symm y = x ◃⁻¹ y :=
rfl
#align rack.act_symm_apply Rack.act'_symm_apply
@[simp]
theorem invAct_apply (x y : R) : (act' x)⁻¹ y = x ◃⁻¹ y :=
rfl
#align rack.inv_act_apply Rack.invAct_apply
@[simp]
theorem invAct_act_eq (x y : R) : x ◃⁻¹ x ◃ y = y :=
left_inv x y
#align rack.inv_act_act_eq Rack.invAct_act_eq
@[simp]
theorem act_invAct_eq (x y : R) : x ◃ x ◃⁻¹ y = y :=
right_inv x y
#align rack.act_inv_act_eq Rack.act_invAct_eq
theorem left_cancel (x : R) {y y' : R} : x ◃ y = x ◃ y' ↔ y = y' := by
constructor
· apply (act' x).injective
rintro rfl
rfl
#align rack.left_cancel Rack.left_cancel
theorem left_cancel_inv (x : R) {y y' : R} : x ◃⁻¹ y = x ◃⁻¹ y' ↔ y = y' := by
constructor
· apply (act' x).symm.injective
rintro rfl
rfl
#align rack.left_cancel_inv Rack.left_cancel_inv
theorem self_distrib_inv {x y z : R} : x ◃⁻¹ y ◃⁻¹ z = (x ◃⁻¹ y) ◃⁻¹ x ◃⁻¹ z := by
rw [← left_cancel (x ◃⁻¹ y), right_inv, ← left_cancel x, right_inv, self_distrib]
repeat' rw [right_inv]
#align rack.self_distrib_inv Rack.self_distrib_inv
| Mathlib/Algebra/Quandle.lean | 251 | 253 | theorem ad_conj {R : Type*} [Rack R] (x y : R) : act' (x ◃ y) = act' x * act' y * (act' x)⁻¹ := by |
rw [eq_mul_inv_iff_mul_eq]; ext z
apply self_distrib.symm
| 0 |
import Mathlib.MeasureTheory.Measure.Haar.Basic
import Mathlib.Analysis.NormedSpace.FiniteDimension
import Mathlib.MeasureTheory.Measure.Haar.Unique
open MeasureTheory Measure Set
open scoped ENNReal
variable {𝕜 E F : Type*}
[NontriviallyNormedField 𝕜] [CompleteSpace 𝕜]
[NormedAddCommGroup E] [MeasurableSpace E] [BorelSpace E] [NormedSpace 𝕜 E]
[NormedAddCommGroup F] [MeasurableSpace F] [BorelSpace F] [NormedSpace 𝕜 F] {L : E →ₗ[𝕜] F}
{μ : Measure E} {ν : Measure F}
[IsAddHaarMeasure μ] [IsAddHaarMeasure ν]
variable [LocallyCompactSpace E]
variable (L μ ν)
theorem LinearMap.exists_map_addHaar_eq_smul_addHaar' (h : Function.Surjective L) :
∃ (c : ℝ≥0∞), 0 < c ∧ c < ∞ ∧ μ.map L = (c * addHaar (univ : Set (LinearMap.ker L))) • ν := by
have : ProperSpace E := .of_locallyCompactSpace 𝕜
have : FiniteDimensional 𝕜 E := .of_locallyCompactSpace 𝕜
have : ProperSpace F := by
rcases subsingleton_or_nontrivial E with hE|hE
· have : Subsingleton F := Function.Surjective.subsingleton h
infer_instance
· have : ProperSpace 𝕜 := .of_locallyCompact_module 𝕜 E
have : FiniteDimensional 𝕜 F := Module.Finite.of_surjective L h
exact FiniteDimensional.proper 𝕜 F
let S : Submodule 𝕜 E := LinearMap.ker L
obtain ⟨T, hT⟩ : ∃ T : Submodule 𝕜 E, IsCompl S T := Submodule.exists_isCompl S
let M : (S × T) ≃ₗ[𝕜] E := Submodule.prodEquivOfIsCompl S T hT
have M_cont : Continuous M.symm := LinearMap.continuous_of_finiteDimensional _
let P : S × T →ₗ[𝕜] T := LinearMap.snd 𝕜 S T
have P_cont : Continuous P := LinearMap.continuous_of_finiteDimensional _
have I : Function.Bijective (LinearMap.domRestrict L T) :=
⟨LinearMap.injective_domRestrict_iff.2 (IsCompl.inf_eq_bot hT.symm),
(LinearMap.surjective_domRestrict_iff h).2 hT.symm.sup_eq_top⟩
let L' : T ≃ₗ[𝕜] F := LinearEquiv.ofBijective (LinearMap.domRestrict L T) I
have L'_cont : Continuous L' := LinearMap.continuous_of_finiteDimensional _
have A : L = (L' : T →ₗ[𝕜] F).comp (P.comp (M.symm : E →ₗ[𝕜] (S × T))) := by
ext x
obtain ⟨y, z, hyz⟩ : ∃ (y : S) (z : T), M.symm x = (y, z) := ⟨_, _, rfl⟩
have : x = M (y, z) := by
rw [← hyz]; simp only [LinearEquiv.apply_symm_apply]
simp [L', P, M, this]
have I : μ.map L = ((μ.map M.symm).map P).map L' := by
rw [Measure.map_map, Measure.map_map, A]
· rfl
· exact L'_cont.measurable.comp P_cont.measurable
· exact M_cont.measurable
· exact L'_cont.measurable
· exact P_cont.measurable
let μS : Measure S := addHaar
let μT : Measure T := addHaar
obtain ⟨c₀, c₀_pos, c₀_fin, h₀⟩ :
∃ c₀ : ℝ≥0∞, c₀ ≠ 0 ∧ c₀ ≠ ∞ ∧ μ.map M.symm = c₀ • μS.prod μT := by
have : IsAddHaarMeasure (μ.map M.symm) :=
M.toContinuousLinearEquiv.symm.isAddHaarMeasure_map μ
refine ⟨addHaarScalarFactor (μ.map M.symm) (μS.prod μT), ?_, ENNReal.coe_ne_top,
isAddLeftInvariant_eq_smul _ _⟩
simpa only [ne_eq, ENNReal.coe_eq_zero] using
(addHaarScalarFactor_pos_of_isAddHaarMeasure (μ.map M.symm) (μS.prod μT)).ne'
have J : (μS.prod μT).map P = (μS univ) • μT := map_snd_prod
obtain ⟨c₁, c₁_pos, c₁_fin, h₁⟩ : ∃ c₁ : ℝ≥0∞, c₁ ≠ 0 ∧ c₁ ≠ ∞ ∧ μT.map L' = c₁ • ν := by
have : IsAddHaarMeasure (μT.map L') :=
L'.toContinuousLinearEquiv.isAddHaarMeasure_map μT
refine ⟨addHaarScalarFactor (μT.map L') ν, ?_, ENNReal.coe_ne_top,
isAddLeftInvariant_eq_smul _ _⟩
simpa only [ne_eq, ENNReal.coe_eq_zero] using
(addHaarScalarFactor_pos_of_isAddHaarMeasure (μT.map L') ν).ne'
refine ⟨c₀ * c₁, by simp [pos_iff_ne_zero, c₀_pos, c₁_pos], ENNReal.mul_lt_top c₀_fin c₁_fin, ?_⟩
simp only [I, h₀, Measure.map_smul, J, smul_smul, h₁]
rw [mul_assoc, mul_comm _ c₁, ← mul_assoc]
| Mathlib/MeasureTheory/Measure/Haar/Disintegration.lean | 106 | 109 | theorem LinearMap.exists_map_addHaar_eq_smul_addHaar (h : Function.Surjective L) :
∃ (c : ℝ≥0∞), 0 < c ∧ μ.map L = c • ν := by |
rcases L.exists_map_addHaar_eq_smul_addHaar' μ ν h with ⟨c, c_pos, -, hc⟩
exact ⟨_, by simp [c_pos, NeZero.ne addHaar], hc⟩
| 0 |
import Mathlib.Algebra.Group.Fin
import Mathlib.LinearAlgebra.Matrix.Symmetric
#align_import linear_algebra.matrix.circulant from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
variable {α β m n R : Type*}
namespace Matrix
open Function
open Matrix
def circulant [Sub n] (v : n → α) : Matrix n n α :=
of fun i j => v (i - j)
#align matrix.circulant Matrix.circulant
-- TODO: set as an equation lemma for `circulant`, see mathlib4#3024
@[simp]
theorem circulant_apply [Sub n] (v : n → α) (i j) : circulant v i j = v (i - j) := rfl
#align matrix.circulant_apply Matrix.circulant_apply
theorem circulant_col_zero_eq [AddGroup n] (v : n → α) (i : n) : circulant v i 0 = v i :=
congr_arg v (sub_zero _)
#align matrix.circulant_col_zero_eq Matrix.circulant_col_zero_eq
theorem circulant_injective [AddGroup n] : Injective (circulant : (n → α) → Matrix n n α) := by
intro v w h
ext k
rw [← circulant_col_zero_eq v, ← circulant_col_zero_eq w, h]
#align matrix.circulant_injective Matrix.circulant_injective
theorem Fin.circulant_injective : ∀ n, Injective fun v : Fin n → α => circulant v
| 0 => by simp [Injective]
| n + 1 => Matrix.circulant_injective
#align matrix.fin.circulant_injective Matrix.Fin.circulant_injective
@[simp]
theorem circulant_inj [AddGroup n] {v w : n → α} : circulant v = circulant w ↔ v = w :=
circulant_injective.eq_iff
#align matrix.circulant_inj Matrix.circulant_inj
@[simp]
theorem Fin.circulant_inj {n} {v w : Fin n → α} : circulant v = circulant w ↔ v = w :=
(Fin.circulant_injective n).eq_iff
#align matrix.fin.circulant_inj Matrix.Fin.circulant_inj
theorem transpose_circulant [AddGroup n] (v : n → α) :
(circulant v)ᵀ = circulant fun i => v (-i) := by ext; simp
#align matrix.transpose_circulant Matrix.transpose_circulant
theorem conjTranspose_circulant [Star α] [AddGroup n] (v : n → α) :
(circulant v)ᴴ = circulant (star fun i => v (-i)) := by ext; simp
#align matrix.conj_transpose_circulant Matrix.conjTranspose_circulant
theorem Fin.transpose_circulant : ∀ {n} (v : Fin n → α), (circulant v)ᵀ = circulant fun i => v (-i)
| 0 => by simp [Injective, eq_iff_true_of_subsingleton]
| n + 1 => Matrix.transpose_circulant
#align matrix.fin.transpose_circulant Matrix.Fin.transpose_circulant
theorem Fin.conjTranspose_circulant [Star α] :
∀ {n} (v : Fin n → α), (circulant v)ᴴ = circulant (star fun i => v (-i))
| 0 => by simp [Injective, eq_iff_true_of_subsingleton]
| n + 1 => Matrix.conjTranspose_circulant
#align matrix.fin.conj_transpose_circulant Matrix.Fin.conjTranspose_circulant
theorem map_circulant [Sub n] (v : n → α) (f : α → β) :
(circulant v).map f = circulant fun i => f (v i) :=
ext fun _ _ => rfl
#align matrix.map_circulant Matrix.map_circulant
theorem circulant_neg [Neg α] [Sub n] (v : n → α) : circulant (-v) = -circulant v :=
ext fun _ _ => rfl
#align matrix.circulant_neg Matrix.circulant_neg
@[simp]
theorem circulant_zero (α n) [Zero α] [Sub n] : circulant 0 = (0 : Matrix n n α) :=
ext fun _ _ => rfl
#align matrix.circulant_zero Matrix.circulant_zero
theorem circulant_add [Add α] [Sub n] (v w : n → α) :
circulant (v + w) = circulant v + circulant w :=
ext fun _ _ => rfl
#align matrix.circulant_add Matrix.circulant_add
theorem circulant_sub [Sub α] [Sub n] (v w : n → α) :
circulant (v - w) = circulant v - circulant w :=
ext fun _ _ => rfl
#align matrix.circulant_sub Matrix.circulant_sub
| Mathlib/LinearAlgebra/Matrix/Circulant.lean | 126 | 132 | theorem circulant_mul [Semiring α] [Fintype n] [AddGroup n] (v w : n → α) :
circulant v * circulant w = circulant (circulant v *ᵥ w) := by |
ext i j
simp only [mul_apply, mulVec, circulant_apply, dotProduct]
refine Fintype.sum_equiv (Equiv.subRight j) _ _ ?_
intro x
simp only [Equiv.subRight_apply, sub_sub_sub_cancel_right]
| 0 |
import Mathlib.Topology.Bases
import Mathlib.Topology.DenseEmbedding
#align_import topology.stone_cech from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
noncomputable section
open Filter Set
open Topology
universe u v
section Ultrafilter
def ultrafilterBasis (α : Type u) : Set (Set (Ultrafilter α)) :=
range fun s : Set α => { u | s ∈ u }
#align ultrafilter_basis ultrafilterBasis
variable {α : Type u}
instance Ultrafilter.topologicalSpace : TopologicalSpace (Ultrafilter α) :=
TopologicalSpace.generateFrom (ultrafilterBasis α)
#align ultrafilter.topological_space Ultrafilter.topologicalSpace
theorem ultrafilterBasis_is_basis : TopologicalSpace.IsTopologicalBasis (ultrafilterBasis α) :=
⟨by
rintro _ ⟨a, rfl⟩ _ ⟨b, rfl⟩ u ⟨ua, ub⟩
refine ⟨_, ⟨a ∩ b, rfl⟩, inter_mem ua ub, fun v hv => ⟨?_, ?_⟩⟩ <;> apply mem_of_superset hv <;>
simp [inter_subset_right],
eq_univ_of_univ_subset <| subset_sUnion_of_mem <| ⟨univ, eq_univ_of_forall fun u => univ_mem⟩,
rfl⟩
#align ultrafilter_basis_is_basis ultrafilterBasis_is_basis
theorem ultrafilter_isOpen_basic (s : Set α) : IsOpen { u : Ultrafilter α | s ∈ u } :=
ultrafilterBasis_is_basis.isOpen ⟨s, rfl⟩
#align ultrafilter_is_open_basic ultrafilter_isOpen_basic
theorem ultrafilter_isClosed_basic (s : Set α) : IsClosed { u : Ultrafilter α | s ∈ u } := by
rw [← isOpen_compl_iff]
convert ultrafilter_isOpen_basic sᶜ using 1
ext u
exact Ultrafilter.compl_mem_iff_not_mem.symm
#align ultrafilter_is_closed_basic ultrafilter_isClosed_basic
theorem ultrafilter_converges_iff {u : Ultrafilter (Ultrafilter α)} {x : Ultrafilter α} :
↑u ≤ 𝓝 x ↔ x = joinM u := by
rw [eq_comm, ← Ultrafilter.coe_le_coe]
change ↑u ≤ 𝓝 x ↔ ∀ s ∈ x, { v : Ultrafilter α | s ∈ v } ∈ u
simp only [TopologicalSpace.nhds_generateFrom, le_iInf_iff, ultrafilterBasis, le_principal_iff,
mem_setOf_eq]
constructor
· intro h a ha
exact h _ ⟨ha, a, rfl⟩
· rintro h a ⟨xi, a, rfl⟩
exact h _ xi
#align ultrafilter_converges_iff ultrafilter_converges_iff
instance ultrafilter_compact : CompactSpace (Ultrafilter α) :=
⟨isCompact_iff_ultrafilter_le_nhds.mpr fun f _ =>
⟨joinM f, trivial, ultrafilter_converges_iff.mpr rfl⟩⟩
#align ultrafilter_compact ultrafilter_compact
instance Ultrafilter.t2Space : T2Space (Ultrafilter α) :=
t2_iff_ultrafilter.mpr @fun x y f fx fy =>
have hx : x = joinM f := ultrafilter_converges_iff.mp fx
have hy : y = joinM f := ultrafilter_converges_iff.mp fy
hx.trans hy.symm
#align ultrafilter.t2_space Ultrafilter.t2Space
instance : TotallyDisconnectedSpace (Ultrafilter α) := by
rw [totallyDisconnectedSpace_iff_connectedComponent_singleton]
intro A
simp only [Set.eq_singleton_iff_unique_mem, mem_connectedComponent, true_and_iff]
intro B hB
rw [← Ultrafilter.coe_le_coe]
intro s hs
rw [connectedComponent_eq_iInter_isClopen, Set.mem_iInter] at hB
let Z := { F : Ultrafilter α | s ∈ F }
have hZ : IsClopen Z := ⟨ultrafilter_isClosed_basic s, ultrafilter_isOpen_basic s⟩
exact hB ⟨Z, hZ, hs⟩
@[simp] theorem Ultrafilter.tendsto_pure_self (b : Ultrafilter α) : Tendsto pure b (𝓝 b) := by
rw [Tendsto, ← coe_map, ultrafilter_converges_iff]
ext s
change s ∈ b ↔ {t | s ∈ t} ∈ map pure b
simp_rw [mem_map, preimage_setOf_eq, mem_pure, setOf_mem_eq]
theorem ultrafilter_comap_pure_nhds (b : Ultrafilter α) : comap pure (𝓝 b) ≤ b := by
rw [TopologicalSpace.nhds_generateFrom]
simp only [comap_iInf, comap_principal]
intro s hs
rw [← le_principal_iff]
refine iInf_le_of_le { u | s ∈ u } ?_
refine iInf_le_of_le ⟨hs, ⟨s, rfl⟩⟩ ?_
exact principal_mono.2 fun a => id
#align ultrafilter_comap_pure_nhds ultrafilter_comap_pure_nhds
section Embedding
| Mathlib/Topology/StoneCech.lean | 122 | 126 | theorem ultrafilter_pure_injective : Function.Injective (pure : α → Ultrafilter α) := by |
intro x y h
have : {x} ∈ (pure x : Ultrafilter α) := singleton_mem_pure
rw [h] at this
exact (mem_singleton_iff.mp (mem_pure.mp this)).symm
| 0 |
import Mathlib.Combinatorics.Hall.Finite
import Mathlib.CategoryTheory.CofilteredSystem
import Mathlib.Data.Rel
#align_import combinatorics.hall.basic from "leanprover-community/mathlib"@"8195826f5c428fc283510bc67303dd4472d78498"
open Finset CategoryTheory
universe u v
def hallMatchingsOn {ι : Type u} {α : Type v} (t : ι → Finset α) (ι' : Finset ι) :=
{ f : ι' → α | Function.Injective f ∧ ∀ x, f x ∈ t x }
#align hall_matchings_on hallMatchingsOn
def hallMatchingsOn.restrict {ι : Type u} {α : Type v} (t : ι → Finset α) {ι' ι'' : Finset ι}
(h : ι' ⊆ ι'') (f : hallMatchingsOn t ι'') : hallMatchingsOn t ι' := by
refine ⟨fun i => f.val ⟨i, h i.property⟩, ?_⟩
cases' f.property with hinj hc
refine ⟨?_, fun i => hc ⟨i, h i.property⟩⟩
rintro ⟨i, hi⟩ ⟨j, hj⟩ hh
simpa only [Subtype.mk_eq_mk] using hinj hh
#align hall_matchings_on.restrict hallMatchingsOn.restrict
| Mathlib/Combinatorics/Hall/Basic.lean | 77 | 86 | theorem hallMatchingsOn.nonempty {ι : Type u} {α : Type v} [DecidableEq α] (t : ι → Finset α)
(h : ∀ s : Finset ι, s.card ≤ (s.biUnion t).card) (ι' : Finset ι) :
Nonempty (hallMatchingsOn t ι') := by |
classical
refine ⟨Classical.indefiniteDescription _ ?_⟩
apply (all_card_le_biUnion_card_iff_existsInjective' fun i : ι' => t i).mp
intro s'
convert h (s'.image (↑)) using 1
· simp only [card_image_of_injective s' Subtype.coe_injective]
· rw [image_biUnion]
| 0 |
import Mathlib.Probability.ConditionalProbability
import Mathlib.MeasureTheory.Measure.Count
#align_import probability.cond_count from "leanprover-community/mathlib"@"117e93f82b5f959f8193857370109935291f0cc4"
noncomputable section
open ProbabilityTheory
open MeasureTheory MeasurableSpace
namespace ProbabilityTheory
variable {Ω : Type*} [MeasurableSpace Ω]
def condCount (s : Set Ω) : Measure Ω :=
Measure.count[|s]
#align probability_theory.cond_count ProbabilityTheory.condCount
@[simp]
theorem condCount_empty_meas : (condCount ∅ : Measure Ω) = 0 := by simp [condCount]
#align probability_theory.cond_count_empty_meas ProbabilityTheory.condCount_empty_meas
theorem condCount_empty {s : Set Ω} : condCount s ∅ = 0 := by simp
#align probability_theory.cond_count_empty ProbabilityTheory.condCount_empty
theorem finite_of_condCount_ne_zero {s t : Set Ω} (h : condCount s t ≠ 0) : s.Finite := by
by_contra hs'
simp [condCount, cond, Measure.count_apply_infinite hs'] at h
#align probability_theory.finite_of_cond_count_ne_zero ProbabilityTheory.finite_of_condCount_ne_zero
theorem condCount_univ [Fintype Ω] {s : Set Ω} :
condCount Set.univ s = Measure.count s / Fintype.card Ω := by
rw [condCount, cond_apply _ MeasurableSet.univ, ← ENNReal.div_eq_inv_mul, Set.univ_inter]
congr
rw [← Finset.coe_univ, Measure.count_apply, Finset.univ.tsum_subtype' fun _ => (1 : ENNReal)]
· simp [Finset.card_univ]
· exact (@Finset.coe_univ Ω _).symm ▸ MeasurableSet.univ
#align probability_theory.cond_count_univ ProbabilityTheory.condCount_univ
variable [MeasurableSingletonClass Ω]
theorem condCount_isProbabilityMeasure {s : Set Ω} (hs : s.Finite) (hs' : s.Nonempty) :
IsProbabilityMeasure (condCount s) :=
{ measure_univ := by
rw [condCount, cond_apply _ hs.measurableSet, Set.inter_univ, ENNReal.inv_mul_cancel]
· exact fun h => hs'.ne_empty <| Measure.empty_of_count_eq_zero h
· exact (Measure.count_apply_lt_top.2 hs).ne }
#align probability_theory.cond_count_is_probability_measure ProbabilityTheory.condCount_isProbabilityMeasure
theorem condCount_singleton (ω : Ω) (t : Set Ω) [Decidable (ω ∈ t)] :
condCount {ω} t = if ω ∈ t then 1 else 0 := by
rw [condCount, cond_apply _ (measurableSet_singleton ω), Measure.count_singleton, inv_one,
one_mul]
split_ifs
· rw [(by simpa : ({ω} : Set Ω) ∩ t = {ω}), Measure.count_singleton]
· rw [(by simpa : ({ω} : Set Ω) ∩ t = ∅), Measure.count_empty]
#align probability_theory.cond_count_singleton ProbabilityTheory.condCount_singleton
variable {s t u : Set Ω}
theorem condCount_inter_self (hs : s.Finite) : condCount s (s ∩ t) = condCount s t := by
rw [condCount, cond_inter_self _ hs.measurableSet]
#align probability_theory.cond_count_inter_self ProbabilityTheory.condCount_inter_self
theorem condCount_self (hs : s.Finite) (hs' : s.Nonempty) : condCount s s = 1 := by
rw [condCount, cond_apply _ hs.measurableSet, Set.inter_self, ENNReal.inv_mul_cancel]
· exact fun h => hs'.ne_empty <| Measure.empty_of_count_eq_zero h
· exact (Measure.count_apply_lt_top.2 hs).ne
#align probability_theory.cond_count_self ProbabilityTheory.condCount_self
theorem condCount_eq_one_of (hs : s.Finite) (hs' : s.Nonempty) (ht : s ⊆ t) :
condCount s t = 1 := by
haveI := condCount_isProbabilityMeasure hs hs'
refine eq_of_le_of_not_lt prob_le_one ?_
rw [not_lt, ← condCount_self hs hs']
exact measure_mono ht
#align probability_theory.cond_count_eq_one_of ProbabilityTheory.condCount_eq_one_of
theorem pred_true_of_condCount_eq_one (h : condCount s t = 1) : s ⊆ t := by
have hsf := finite_of_condCount_ne_zero (by rw [h]; exact one_ne_zero)
rw [condCount, cond_apply _ hsf.measurableSet, mul_comm] at h
replace h := ENNReal.eq_inv_of_mul_eq_one_left h
rw [inv_inv, Measure.count_apply_finite _ hsf, Measure.count_apply_finite _ (hsf.inter_of_left _),
Nat.cast_inj] at h
suffices s ∩ t = s by exact this ▸ fun x hx => hx.2
rw [← @Set.Finite.toFinset_inj _ _ _ (hsf.inter_of_left _) hsf]
exact Finset.eq_of_subset_of_card_le (Set.Finite.toFinset_mono s.inter_subset_left) h.ge
#align probability_theory.pred_true_of_cond_count_eq_one ProbabilityTheory.pred_true_of_condCount_eq_one
theorem condCount_eq_zero_iff (hs : s.Finite) : condCount s t = 0 ↔ s ∩ t = ∅ := by
simp [condCount, cond_apply _ hs.measurableSet, Measure.count_apply_eq_top, Set.not_infinite.2 hs,
Measure.count_apply_finite _ (hs.inter_of_left _)]
#align probability_theory.cond_count_eq_zero_iff ProbabilityTheory.condCount_eq_zero_iff
theorem condCount_of_univ (hs : s.Finite) (hs' : s.Nonempty) : condCount s Set.univ = 1 :=
condCount_eq_one_of hs hs' s.subset_univ
#align probability_theory.cond_count_of_univ ProbabilityTheory.condCount_of_univ
| Mathlib/Probability/CondCount.lean | 138 | 148 | theorem condCount_inter (hs : s.Finite) :
condCount s (t ∩ u) = condCount (s ∩ t) u * condCount s t := by |
by_cases hst : s ∩ t = ∅
· rw [hst, condCount_empty_meas, Measure.coe_zero, Pi.zero_apply, zero_mul,
condCount_eq_zero_iff hs, ← Set.inter_assoc, hst, Set.empty_inter]
rw [condCount, condCount, cond_apply _ hs.measurableSet, cond_apply _ hs.measurableSet,
cond_apply _ (hs.inter_of_left _).measurableSet, mul_comm _ (Measure.count (s ∩ t)),
← mul_assoc, mul_comm _ (Measure.count (s ∩ t)), ← mul_assoc, ENNReal.mul_inv_cancel, one_mul,
mul_comm, Set.inter_assoc]
· rwa [← Measure.count_eq_zero_iff] at hst
· exact (Measure.count_apply_lt_top.2 <| hs.inter_of_left _).ne
| 0 |
import Mathlib.Algebra.Order.Ring.Abs
import Mathlib.Algebra.Order.Ring.Rat
import Mathlib.Data.Rat.Lemmas
import Mathlib.Data.Int.Sqrt
#align_import data.rat.sqrt from "leanprover-community/mathlib"@"46a64b5b4268c594af770c44d9e502afc6a515cb"
namespace Rat
-- @[pp_nodot] porting note: unknown attribute
def sqrt (q : ℚ) : ℚ := mkRat (Int.sqrt q.num) (Nat.sqrt q.den)
#align rat.sqrt Rat.sqrt
| Mathlib/Data/Rat/Sqrt.lean | 30 | 31 | theorem sqrt_eq (q : ℚ) : Rat.sqrt (q * q) = |q| := by |
rw [sqrt, mul_self_num, mul_self_den, Int.sqrt_eq, Nat.sqrt_eq, abs_def, divInt_ofNat]
| 0 |
import Mathlib.Data.Set.Function
import Mathlib.Analysis.BoundedVariation
#align_import analysis.constant_speed from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
open scoped NNReal ENNReal
open Set MeasureTheory Classical
variable {α : Type*} [LinearOrder α] {E : Type*} [PseudoEMetricSpace E]
variable (f : ℝ → E) (s : Set ℝ) (l : ℝ≥0)
def HasConstantSpeedOnWith :=
∀ ⦃x⦄ (_ : x ∈ s) ⦃y⦄ (_ : y ∈ s), eVariationOn f (s ∩ Icc x y) = ENNReal.ofReal (l * (y - x))
#align has_constant_speed_on_with HasConstantSpeedOnWith
variable {f s l}
theorem HasConstantSpeedOnWith.hasLocallyBoundedVariationOn (h : HasConstantSpeedOnWith f s l) :
LocallyBoundedVariationOn f s := fun x y hx hy => by
simp only [BoundedVariationOn, h hx hy, Ne, ENNReal.ofReal_ne_top, not_false_iff]
#align has_constant_speed_on_with.has_locally_bounded_variation_on HasConstantSpeedOnWith.hasLocallyBoundedVariationOn
| Mathlib/Analysis/ConstantSpeed.lean | 64 | 68 | theorem hasConstantSpeedOnWith_of_subsingleton (f : ℝ → E) {s : Set ℝ} (hs : s.Subsingleton)
(l : ℝ≥0) : HasConstantSpeedOnWith f s l := by |
rintro x hx y hy; cases hs hx hy
rw [eVariationOn.subsingleton f (fun y hy z hz => hs hy.1 hz.1 : (s ∩ Icc x x).Subsingleton)]
simp only [sub_self, mul_zero, ENNReal.ofReal_zero]
| 0 |
import Mathlib.Data.List.Forall2
#align_import data.list.zip from "leanprover-community/mathlib"@"134625f523e737f650a6ea7f0c82a6177e45e622"
-- Make sure we don't import algebra
assert_not_exists Monoid
universe u
open Nat
namespace List
variable {α : Type u} {β γ δ ε : Type*}
#align list.zip_with_cons_cons List.zipWith_cons_cons
#align list.zip_cons_cons List.zip_cons_cons
#align list.zip_with_nil_left List.zipWith_nil_left
#align list.zip_with_nil_right List.zipWith_nil_right
#align list.zip_with_eq_nil_iff List.zipWith_eq_nil_iff
#align list.zip_nil_left List.zip_nil_left
#align list.zip_nil_right List.zip_nil_right
@[simp]
theorem zip_swap : ∀ (l₁ : List α) (l₂ : List β), (zip l₁ l₂).map Prod.swap = zip l₂ l₁
| [], l₂ => zip_nil_right.symm
| l₁, [] => by rw [zip_nil_right]; rfl
| a :: l₁, b :: l₂ => by
simp only [zip_cons_cons, map_cons, zip_swap l₁ l₂, Prod.swap_prod_mk]
#align list.zip_swap List.zip_swap
#align list.length_zip_with List.length_zipWith
#align list.length_zip List.length_zip
theorem forall_zipWith {f : α → β → γ} {p : γ → Prop} :
∀ {l₁ : List α} {l₂ : List β}, length l₁ = length l₂ →
(Forall p (zipWith f l₁ l₂) ↔ Forall₂ (fun x y => p (f x y)) l₁ l₂)
| [], [], _ => by simp
| a :: l₁, b :: l₂, h => by
simp only [length_cons, succ_inj'] at h
simp [forall_zipWith h]
#align list.all₂_zip_with List.forall_zipWith
theorem lt_length_left_of_zipWith {f : α → β → γ} {i : ℕ} {l : List α} {l' : List β}
(h : i < (zipWith f l l').length) : i < l.length := by rw [length_zipWith] at h; omega
#align list.lt_length_left_of_zip_with List.lt_length_left_of_zipWith
theorem lt_length_right_of_zipWith {f : α → β → γ} {i : ℕ} {l : List α} {l' : List β}
(h : i < (zipWith f l l').length) : i < l'.length := by rw [length_zipWith] at h; omega
#align list.lt_length_right_of_zip_with List.lt_length_right_of_zipWith
theorem lt_length_left_of_zip {i : ℕ} {l : List α} {l' : List β} (h : i < (zip l l').length) :
i < l.length :=
lt_length_left_of_zipWith h
#align list.lt_length_left_of_zip List.lt_length_left_of_zip
theorem lt_length_right_of_zip {i : ℕ} {l : List α} {l' : List β} (h : i < (zip l l').length) :
i < l'.length :=
lt_length_right_of_zipWith h
#align list.lt_length_right_of_zip List.lt_length_right_of_zip
#align list.zip_append List.zip_append
#align list.zip_map List.zip_map
#align list.zip_map_left List.zip_map_left
#align list.zip_map_right List.zip_map_right
#align list.zip_with_map List.zipWith_map
#align list.zip_with_map_left List.zipWith_map_left
#align list.zip_with_map_right List.zipWith_map_right
#align list.zip_map' List.zip_map'
#align list.map_zip_with List.map_zipWith
theorem mem_zip {a b} : ∀ {l₁ : List α} {l₂ : List β}, (a, b) ∈ zip l₁ l₂ → a ∈ l₁ ∧ b ∈ l₂
| _ :: l₁, _ :: l₂, h => by
cases' h with _ _ _ h
· simp
· have := mem_zip h
exact ⟨Mem.tail _ this.1, Mem.tail _ this.2⟩
#align list.mem_zip List.mem_zip
#align list.map_fst_zip List.map_fst_zip
#align list.map_snd_zip List.map_snd_zip
#align list.unzip_nil List.unzip_nil
#align list.unzip_cons List.unzip_cons
theorem unzip_eq_map : ∀ l : List (α × β), unzip l = (l.map Prod.fst, l.map Prod.snd)
| [] => rfl
| (a, b) :: l => by simp only [unzip_cons, map_cons, unzip_eq_map l]
#align list.unzip_eq_map List.unzip_eq_map
theorem unzip_left (l : List (α × β)) : (unzip l).1 = l.map Prod.fst := by simp only [unzip_eq_map]
#align list.unzip_left List.unzip_left
theorem unzip_right (l : List (α × β)) : (unzip l).2 = l.map Prod.snd := by simp only [unzip_eq_map]
#align list.unzip_right List.unzip_right
theorem unzip_swap (l : List (α × β)) : unzip (l.map Prod.swap) = (unzip l).swap := by
simp only [unzip_eq_map, map_map]
rfl
#align list.unzip_swap List.unzip_swap
theorem zip_unzip : ∀ l : List (α × β), zip (unzip l).1 (unzip l).2 = l
| [] => rfl
| (a, b) :: l => by simp only [unzip_cons, zip_cons_cons, zip_unzip l]
#align list.zip_unzip List.zip_unzip
theorem unzip_zip_left :
∀ {l₁ : List α} {l₂ : List β}, length l₁ ≤ length l₂ → (unzip (zip l₁ l₂)).1 = l₁
| [], l₂, _ => rfl
| l₁, [], h => by rw [eq_nil_of_length_eq_zero (Nat.eq_zero_of_le_zero h)]; rfl
| a :: l₁, b :: l₂, h => by
simp only [zip_cons_cons, unzip_cons, unzip_zip_left (le_of_succ_le_succ h)]
#align list.unzip_zip_left List.unzip_zip_left
| Mathlib/Data/List/Zip.lean | 133 | 134 | theorem unzip_zip_right {l₁ : List α} {l₂ : List β} (h : length l₂ ≤ length l₁) :
(unzip (zip l₁ l₂)).2 = l₂ := by | rw [← zip_swap, unzip_swap]; exact unzip_zip_left h
| 0 |
import Mathlib.RingTheory.IntegralClosure
import Mathlib.RingTheory.Localization.Integral
#align_import ring_theory.integrally_closed from "leanprover-community/mathlib"@"d35b4ff446f1421bd551fafa4b8efd98ac3ac408"
open scoped nonZeroDivisors Polynomial
open Polynomial
abbrev IsIntegrallyClosedIn (R A : Type*) [CommRing R] [CommRing A] [Algebra R A] :=
IsIntegralClosure R R A
abbrev IsIntegrallyClosed (R : Type*) [CommRing R] := IsIntegrallyClosedIn R (FractionRing R)
#align is_integrally_closed IsIntegrallyClosed
section Iff
variable {R : Type*} [CommRing R]
variable {A B : Type*} [CommRing A] [CommRing B] [Algebra R A] [Algebra R B]
theorem AlgHom.isIntegrallyClosedIn (f : A →ₐ[R] B) (hf : Function.Injective f) :
IsIntegrallyClosedIn R B → IsIntegrallyClosedIn R A := by
rintro ⟨inj, cl⟩
refine ⟨Function.Injective.of_comp (f := f) ?_, fun hx => ?_, ?_⟩
· convert inj
aesop
· obtain ⟨y, fx_eq⟩ := cl.mp ((isIntegral_algHom_iff f hf).mpr hx)
aesop
· rintro ⟨y, rfl⟩
apply (isIntegral_algHom_iff f hf).mp
aesop
theorem AlgEquiv.isIntegrallyClosedIn (e : A ≃ₐ[R] B) :
IsIntegrallyClosedIn R A ↔ IsIntegrallyClosedIn R B :=
⟨AlgHom.isIntegrallyClosedIn e.symm e.symm.injective, AlgHom.isIntegrallyClosedIn e e.injective⟩
variable (K : Type*) [CommRing K] [Algebra R K] [IsFractionRing R K]
theorem isIntegrallyClosed_iff_isIntegrallyClosedIn :
IsIntegrallyClosed R ↔ IsIntegrallyClosedIn R K :=
(IsLocalization.algEquiv R⁰ _ _).isIntegrallyClosedIn
theorem isIntegrallyClosed_iff_isIntegralClosure : IsIntegrallyClosed R ↔ IsIntegralClosure R R K :=
isIntegrallyClosed_iff_isIntegrallyClosedIn K
#align is_integrally_closed_iff_is_integral_closure isIntegrallyClosed_iff_isIntegralClosure
| Mathlib/RingTheory/IntegrallyClosed.lean | 110 | 120 | theorem isIntegrallyClosedIn_iff {R A : Type*} [CommRing R] [CommRing A] [Algebra R A] :
IsIntegrallyClosedIn R A ↔
Function.Injective (algebraMap R A) ∧
∀ {x : A}, IsIntegral R x → ∃ y, algebraMap R A y = x := by |
constructor
· rintro ⟨_, cl⟩
aesop
· rintro ⟨inj, cl⟩
refine ⟨inj, by aesop, ?_⟩
rintro ⟨y, rfl⟩
apply isIntegral_algebraMap
| 0 |
import Mathlib.Data.ENNReal.Basic
import Mathlib.Topology.ContinuousFunction.Bounded
import Mathlib.Topology.MetricSpace.Thickening
#align_import topology.metric_space.thickened_indicator from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open scoped Classical
open NNReal ENNReal Topology BoundedContinuousFunction
open NNReal ENNReal Set Metric EMetric Filter
noncomputable section thickenedIndicator
variable {α : Type*} [PseudoEMetricSpace α]
def thickenedIndicatorAux (δ : ℝ) (E : Set α) : α → ℝ≥0∞ :=
fun x : α => (1 : ℝ≥0∞) - infEdist x E / ENNReal.ofReal δ
#align thickened_indicator_aux thickenedIndicatorAux
theorem continuous_thickenedIndicatorAux {δ : ℝ} (δ_pos : 0 < δ) (E : Set α) :
Continuous (thickenedIndicatorAux δ E) := by
unfold thickenedIndicatorAux
let f := fun x : α => (⟨1, infEdist x E / ENNReal.ofReal δ⟩ : ℝ≥0 × ℝ≥0∞)
let sub := fun p : ℝ≥0 × ℝ≥0∞ => (p.1 : ℝ≥0∞) - p.2
rw [show (fun x : α => (1 : ℝ≥0∞) - infEdist x E / ENNReal.ofReal δ) = sub ∘ f by rfl]
apply (@ENNReal.continuous_nnreal_sub 1).comp
apply (ENNReal.continuous_div_const (ENNReal.ofReal δ) _).comp continuous_infEdist
set_option tactic.skipAssignedInstances false in norm_num [δ_pos]
#align continuous_thickened_indicator_aux continuous_thickenedIndicatorAux
theorem thickenedIndicatorAux_le_one (δ : ℝ) (E : Set α) (x : α) :
thickenedIndicatorAux δ E x ≤ 1 := by
apply @tsub_le_self _ _ _ _ (1 : ℝ≥0∞)
#align thickened_indicator_aux_le_one thickenedIndicatorAux_le_one
theorem thickenedIndicatorAux_lt_top {δ : ℝ} {E : Set α} {x : α} :
thickenedIndicatorAux δ E x < ∞ :=
lt_of_le_of_lt (thickenedIndicatorAux_le_one _ _ _) one_lt_top
#align thickened_indicator_aux_lt_top thickenedIndicatorAux_lt_top
theorem thickenedIndicatorAux_closure_eq (δ : ℝ) (E : Set α) :
thickenedIndicatorAux δ (closure E) = thickenedIndicatorAux δ E := by
simp (config := { unfoldPartialApp := true }) only [thickenedIndicatorAux, infEdist_closure]
#align thickened_indicator_aux_closure_eq thickenedIndicatorAux_closure_eq
theorem thickenedIndicatorAux_one (δ : ℝ) (E : Set α) {x : α} (x_in_E : x ∈ E) :
thickenedIndicatorAux δ E x = 1 := by
simp [thickenedIndicatorAux, infEdist_zero_of_mem x_in_E, tsub_zero]
#align thickened_indicator_aux_one thickenedIndicatorAux_one
theorem thickenedIndicatorAux_one_of_mem_closure (δ : ℝ) (E : Set α) {x : α}
(x_mem : x ∈ closure E) : thickenedIndicatorAux δ E x = 1 := by
rw [← thickenedIndicatorAux_closure_eq, thickenedIndicatorAux_one δ (closure E) x_mem]
#align thickened_indicator_aux_one_of_mem_closure thickenedIndicatorAux_one_of_mem_closure
theorem thickenedIndicatorAux_zero {δ : ℝ} (δ_pos : 0 < δ) (E : Set α) {x : α}
(x_out : x ∉ thickening δ E) : thickenedIndicatorAux δ E x = 0 := by
rw [thickening, mem_setOf_eq, not_lt] at x_out
unfold thickenedIndicatorAux
apply le_antisymm _ bot_le
have key := tsub_le_tsub
(@rfl _ (1 : ℝ≥0∞)).le (ENNReal.div_le_div x_out (@rfl _ (ENNReal.ofReal δ : ℝ≥0∞)).le)
rw [ENNReal.div_self (ne_of_gt (ENNReal.ofReal_pos.mpr δ_pos)) ofReal_ne_top] at key
simpa using key
#align thickened_indicator_aux_zero thickenedIndicatorAux_zero
theorem thickenedIndicatorAux_mono {δ₁ δ₂ : ℝ} (hle : δ₁ ≤ δ₂) (E : Set α) :
thickenedIndicatorAux δ₁ E ≤ thickenedIndicatorAux δ₂ E :=
fun _ => tsub_le_tsub (@rfl ℝ≥0∞ 1).le (ENNReal.div_le_div rfl.le (ofReal_le_ofReal hle))
#align thickened_indicator_aux_mono thickenedIndicatorAux_mono
theorem indicator_le_thickenedIndicatorAux (δ : ℝ) (E : Set α) :
(E.indicator fun _ => (1 : ℝ≥0∞)) ≤ thickenedIndicatorAux δ E := by
intro a
by_cases h : a ∈ E
· simp only [h, indicator_of_mem, thickenedIndicatorAux_one δ E h, le_refl]
· simp only [h, indicator_of_not_mem, not_false_iff, zero_le]
#align indicator_le_thickened_indicator_aux indicator_le_thickenedIndicatorAux
theorem thickenedIndicatorAux_subset (δ : ℝ) {E₁ E₂ : Set α} (subset : E₁ ⊆ E₂) :
thickenedIndicatorAux δ E₁ ≤ thickenedIndicatorAux δ E₂ :=
fun _ => tsub_le_tsub (@rfl ℝ≥0∞ 1).le (ENNReal.div_le_div (infEdist_anti subset) rfl.le)
#align thickened_indicator_aux_subset thickenedIndicatorAux_subset
| Mathlib/Topology/MetricSpace/ThickenedIndicator.lean | 130 | 153 | theorem thickenedIndicatorAux_tendsto_indicator_closure {δseq : ℕ → ℝ}
(δseq_lim : Tendsto δseq atTop (𝓝 0)) (E : Set α) :
Tendsto (fun n => thickenedIndicatorAux (δseq n) E) atTop
(𝓝 (indicator (closure E) fun _ => (1 : ℝ≥0∞))) := by |
rw [tendsto_pi_nhds]
intro x
by_cases x_mem_closure : x ∈ closure E
· simp_rw [thickenedIndicatorAux_one_of_mem_closure _ E x_mem_closure]
rw [show (indicator (closure E) fun _ => (1 : ℝ≥0∞)) x = 1 by
simp only [x_mem_closure, indicator_of_mem]]
exact tendsto_const_nhds
· rw [show (closure E).indicator (fun _ => (1 : ℝ≥0∞)) x = 0 by
simp only [x_mem_closure, indicator_of_not_mem, not_false_iff]]
rcases exists_real_pos_lt_infEdist_of_not_mem_closure x_mem_closure with ⟨ε, ⟨ε_pos, ε_lt⟩⟩
rw [Metric.tendsto_nhds] at δseq_lim
specialize δseq_lim ε ε_pos
simp only [dist_zero_right, Real.norm_eq_abs, eventually_atTop, ge_iff_le] at δseq_lim
rcases δseq_lim with ⟨N, hN⟩
apply @tendsto_atTop_of_eventually_const _ _ _ _ _ _ _ N
intro n n_large
have key : x ∉ thickening ε E := by simpa only [thickening, mem_setOf_eq, not_lt] using ε_lt.le
refine le_antisymm ?_ bot_le
apply (thickenedIndicatorAux_mono (lt_of_abs_lt (hN n n_large)).le E x).trans
exact (thickenedIndicatorAux_zero ε_pos E key).le
| 0 |
import Mathlib.Geometry.Euclidean.Inversion.Basic
import Mathlib.Analysis.InnerProductSpace.Calculus
import Mathlib.Analysis.Calculus.Deriv.Inv
import Mathlib.Tactic.AdaptationNote
open Metric Function AffineMap Set AffineSubspace
open scoped Topology RealInnerProductSpace
variable {E F : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
[NormedAddCommGroup F] [InnerProductSpace ℝ F]
open EuclideanGeometry
namespace EuclideanGeometry
variable {a b c d x y z : F} {r R : ℝ}
| Mathlib/Geometry/Euclidean/Inversion/Calculus.lean | 87 | 108 | theorem hasFDerivAt_inversion (hx : x ≠ c) :
HasFDerivAt (inversion c R)
((R / dist x c) ^ 2 • (reflection (ℝ ∙ (x - c))ᗮ : F →L[ℝ] F)) x := by |
rcases add_left_surjective c x with ⟨x, rfl⟩
have : HasFDerivAt (inversion c R) (?_ : F →L[ℝ] F) (c + x) := by
#adaptation_note /-- nightly-2024-03-16: simp was
simp (config := { unfoldPartialApp := true }) only [inversion] -/
simp only [inversion_def]
simp_rw [dist_eq_norm, div_pow, div_eq_mul_inv]
have A := (hasFDerivAt_id (𝕜 := ℝ) (c + x)).sub_const c
have B := ((hasDerivAt_inv <| by simpa using hx).comp_hasFDerivAt _ A.norm_sq).const_mul
(R ^ 2)
exact (B.smul A).add_const c
refine this.congr_fderiv (LinearMap.ext_on_codisjoint
(Submodule.isCompl_orthogonal_of_completeSpace (K := ℝ ∙ x)).codisjoint
(LinearMap.eqOn_span' ?_) fun y hy ↦ ?_)
· have : ((‖x‖ ^ 2) ^ 2)⁻¹ * (‖x‖ ^ 2) = (‖x‖ ^ 2)⁻¹ := by
rw [← div_eq_inv_mul, sq (‖x‖ ^ 2), div_self_mul_self']
simp [reflection_orthogonalComplement_singleton_eq_neg, real_inner_self_eq_norm_sq,
two_mul, this, div_eq_mul_inv, mul_add, add_smul, mul_pow]
· simp [Submodule.mem_orthogonal_singleton_iff_inner_right.1 hy,
reflection_mem_subspace_eq_self hy, div_eq_mul_inv, mul_pow]
| 0 |
import Mathlib.Analysis.Normed.Group.Hom
import Mathlib.Analysis.SpecificLimits.Normed
#align_import analysis.normed.group.controlled_closure from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Filter Finset
open Topology
variable {G : Type*} [NormedAddCommGroup G] [CompleteSpace G]
variable {H : Type*} [NormedAddCommGroup H]
| Mathlib/Analysis/Normed/Group/ControlledClosure.lean | 32 | 106 | theorem controlled_closure_of_complete {f : NormedAddGroupHom G H} {K : AddSubgroup H} {C ε : ℝ}
(hC : 0 < C) (hε : 0 < ε) (hyp : f.SurjectiveOnWith K C) :
f.SurjectiveOnWith K.topologicalClosure (C + ε) := by |
rintro (h : H) (h_in : h ∈ K.topologicalClosure)
-- We first get rid of the easy case where `h = 0`.
by_cases hyp_h : h = 0
· rw [hyp_h]
use 0
simp
/- The desired preimage will be constructed as the sum of a series. Convergence of
the series will be guaranteed by completeness of `G`. We first write `h` as the sum
of a sequence `v` of elements of `K` which starts close to `h` and then quickly goes to zero.
The sequence `b` below quantifies this. -/
set b : ℕ → ℝ := fun i => (1 / 2) ^ i * (ε * ‖h‖ / 2) / C
have b_pos (i) : 0 < b i := by field_simp [b, hC, hyp_h]
obtain
⟨v : ℕ → H, lim_v : Tendsto (fun n : ℕ => ∑ k ∈ range (n + 1), v k) atTop (𝓝 h), v_in :
∀ n, v n ∈ K, hv₀ : ‖v 0 - h‖ < b 0, hv : ∀ n > 0, ‖v n‖ < b n⟩ :=
controlled_sum_of_mem_closure h_in b_pos
/- The controlled surjectivity assumption on `f` allows to build preimages `u n` for all
elements `v n` of the `v` sequence. -/
have : ∀ n, ∃ m' : G, f m' = v n ∧ ‖m'‖ ≤ C * ‖v n‖ := fun n : ℕ => hyp (v n) (v_in n)
choose u hu hnorm_u using this
/- The desired series `s` is then obtained by summing `u`. We then check our choice of
`b` ensures `s` is Cauchy. -/
set s : ℕ → G := fun n => ∑ k ∈ range (n + 1), u k
have : CauchySeq s := by
apply NormedAddCommGroup.cauchy_series_of_le_geometric'' (by norm_num) one_half_lt_one
· rintro n (hn : n ≥ 1)
calc
‖u n‖ ≤ C * ‖v n‖ := hnorm_u n
_ ≤ C * b n := by gcongr; exact (hv _ <| Nat.succ_le_iff.mp hn).le
_ = (1 / 2) ^ n * (ε * ‖h‖ / 2) := by simp [mul_div_cancel₀ _ hC.ne.symm]
_ = ε * ‖h‖ / 2 * (1 / 2) ^ n := mul_comm _ _
-- We now show that the limit `g` of `s` is the desired preimage.
obtain ⟨g : G, hg⟩ := cauchySeq_tendsto_of_complete this
refine ⟨g, ?_, ?_⟩
· -- We indeed get a preimage. First note:
have : f ∘ s = fun n => ∑ k ∈ range (n + 1), v k := by
ext n
simp [s, map_sum, hu]
/- In the above equality, the left-hand-side converges to `f g` by continuity of `f` and
definition of `g` while the right-hand-side converges to `h` by construction of `v` so
`g` is indeed a preimage of `h`. -/
rw [← this] at lim_v
exact tendsto_nhds_unique ((f.continuous.tendsto g).comp hg) lim_v
· -- Then we need to estimate the norm of `g`, using our careful choice of `b`.
suffices ∀ n, ‖s n‖ ≤ (C + ε) * ‖h‖ from
le_of_tendsto' (continuous_norm.continuousAt.tendsto.comp hg) this
intro n
have hnorm₀ : ‖u 0‖ ≤ C * b 0 + C * ‖h‖ := by
have :=
calc
‖v 0‖ ≤ ‖h‖ + ‖v 0 - h‖ := norm_le_insert' _ _
_ ≤ ‖h‖ + b 0 := by gcongr
calc
‖u 0‖ ≤ C * ‖v 0‖ := hnorm_u 0
_ ≤ C * (‖h‖ + b 0) := by gcongr
_ = C * b 0 + C * ‖h‖ := by rw [add_comm, mul_add]
have : (∑ k ∈ range (n + 1), C * b k) ≤ ε * ‖h‖ :=
calc (∑ k ∈ range (n + 1), C * b k)
_ = (∑ k ∈ range (n + 1), (1 / 2 : ℝ) ^ k) * (ε * ‖h‖ / 2) := by
simp only [mul_div_cancel₀ _ hC.ne.symm, ← sum_mul]
_ ≤ 2 * (ε * ‖h‖ / 2) := by gcongr; apply sum_geometric_two_le
_ = ε * ‖h‖ := mul_div_cancel₀ _ two_ne_zero
calc
‖s n‖ ≤ ∑ k ∈ range (n + 1), ‖u k‖ := norm_sum_le _ _
_ = (∑ k ∈ range n, ‖u (k + 1)‖) + ‖u 0‖ := sum_range_succ' _ _
_ ≤ (∑ k ∈ range n, C * ‖v (k + 1)‖) + ‖u 0‖ := by gcongr; apply hnorm_u
_ ≤ (∑ k ∈ range n, C * b (k + 1)) + (C * b 0 + C * ‖h‖) := by
gcongr with k; exact (hv _ k.succ_pos).le
_ = (∑ k ∈ range (n + 1), C * b k) + C * ‖h‖ := by rw [← add_assoc, sum_range_succ']
_ ≤ (C + ε) * ‖h‖ := by
rw [add_comm, add_mul]
apply add_le_add_left this
| 0 |
import Mathlib.LinearAlgebra.TensorAlgebra.Basic
import Mathlib.LinearAlgebra.TensorPower
#align_import linear_algebra.tensor_algebra.to_tensor_power from "leanprover-community/mathlib"@"d97a0c9f7a7efe6d76d652c5a6b7c9c634b70e0a"
suppress_compilation
open scoped DirectSum TensorProduct
variable {R M : Type*} [CommSemiring R] [AddCommMonoid M] [Module R M]
namespace TensorPower
def toTensorAlgebra {n} : ⨂[R]^n M →ₗ[R] TensorAlgebra R M :=
PiTensorProduct.lift (TensorAlgebra.tprod R M n)
#align tensor_power.to_tensor_algebra TensorPower.toTensorAlgebra
@[simp]
theorem toTensorAlgebra_tprod {n} (x : Fin n → M) :
TensorPower.toTensorAlgebra (PiTensorProduct.tprod R x) = TensorAlgebra.tprod R M n x :=
PiTensorProduct.lift.tprod _
#align tensor_power.to_tensor_algebra_tprod TensorPower.toTensorAlgebra_tprod
@[simp]
theorem toTensorAlgebra_gOne :
TensorPower.toTensorAlgebra (@GradedMonoid.GOne.one _ (fun n => ⨂[R]^n M) _ _) = 1 :=
TensorPower.toTensorAlgebra_tprod _
#align tensor_power.to_tensor_algebra_ghas_one TensorPower.toTensorAlgebra_gOne
@[simp]
theorem toTensorAlgebra_gMul {i j} (a : (⨂[R]^i) M) (b : (⨂[R]^j) M) :
TensorPower.toTensorAlgebra (@GradedMonoid.GMul.mul _ (fun n => ⨂[R]^n M) _ _ _ _ a b) =
TensorPower.toTensorAlgebra a * TensorPower.toTensorAlgebra b := by
-- change `a` and `b` to `tprod R a` and `tprod R b`
rw [TensorPower.gMul_eq_coe_linearMap, ← LinearMap.compr₂_apply, ← @LinearMap.mul_apply' R, ←
LinearMap.compl₂_apply, ← LinearMap.comp_apply]
refine LinearMap.congr_fun (LinearMap.congr_fun ?_ a) b
clear! a b
ext (a b)
-- Porting note: pulled the next two lines out of the long `simp only` below.
simp only [LinearMap.compMultilinearMap_apply]
rw [LinearMap.compr₂_apply, ← gMul_eq_coe_linearMap]
simp only [LinearMap.compr₂_apply, LinearMap.mul_apply', LinearMap.compl₂_apply,
LinearMap.comp_apply, LinearMap.compMultilinearMap_apply, PiTensorProduct.lift.tprod,
TensorPower.tprod_mul_tprod, TensorPower.toTensorAlgebra_tprod, TensorAlgebra.tprod_apply, ←
gMul_eq_coe_linearMap]
refine Eq.trans ?_ List.prod_append
congr
-- Porting note: `erw` for `Function.comp`
erw [← List.map_ofFn _ (TensorAlgebra.ι R), ← List.map_ofFn _ (TensorAlgebra.ι R), ←
List.map_ofFn _ (TensorAlgebra.ι R), ← List.map_append, List.ofFn_fin_append]
#align tensor_power.to_tensor_algebra_ghas_mul TensorPower.toTensorAlgebra_gMul
@[simp]
| Mathlib/LinearAlgebra/TensorAlgebra/ToTensorPower.lean | 68 | 72 | theorem toTensorAlgebra_galgebra_toFun (r : R) :
TensorPower.toTensorAlgebra (DirectSum.GAlgebra.toFun (R := R) (A := fun n => ⨂[R]^n M) r) =
algebraMap _ _ r := by |
rw [TensorPower.galgebra_toFun_def, TensorPower.algebraMap₀_eq_smul_one, LinearMap.map_smul,
TensorPower.toTensorAlgebra_gOne, Algebra.algebraMap_eq_smul_one]
| 0 |
import Mathlib.CategoryTheory.Category.Grpd
import Mathlib.CategoryTheory.Groupoid
import Mathlib.Topology.Category.TopCat.Basic
import Mathlib.Topology.Homotopy.Path
import Mathlib.Data.Set.Subsingleton
#align_import algebraic_topology.fundamental_groupoid.basic from "leanprover-community/mathlib"@"3d7987cda72abc473c7cdbbb075170e9ac620042"
open CategoryTheory
universe u v
variable {X : Type u} {Y : Type v} [TopologicalSpace X] [TopologicalSpace Y]
variable {x₀ x₁ : X}
noncomputable section
open unitInterval
namespace Path
namespace Homotopy
section
def reflTransSymmAux (x : I × I) : ℝ :=
if (x.2 : ℝ) ≤ 1 / 2 then x.1 * 2 * x.2 else x.1 * (2 - 2 * x.2)
#align path.homotopy.refl_trans_symm_aux Path.Homotopy.reflTransSymmAux
@[continuity]
theorem continuous_reflTransSymmAux : Continuous reflTransSymmAux := by
refine continuous_if_le ?_ ?_ (Continuous.continuousOn ?_) (Continuous.continuousOn ?_) ?_
· continuity
· continuity
· continuity
· continuity
intro x hx
norm_num [hx, mul_assoc]
#align path.homotopy.continuous_refl_trans_symm_aux Path.Homotopy.continuous_reflTransSymmAux
| Mathlib/AlgebraicTopology/FundamentalGroupoid/Basic.lean | 56 | 79 | theorem reflTransSymmAux_mem_I (x : I × I) : reflTransSymmAux x ∈ I := by |
dsimp only [reflTransSymmAux]
split_ifs
· constructor
· apply mul_nonneg
· apply mul_nonneg
· unit_interval
· norm_num
· unit_interval
· rw [mul_assoc]
apply mul_le_one
· unit_interval
· apply mul_nonneg
· norm_num
· unit_interval
· linarith
· constructor
· apply mul_nonneg
· unit_interval
linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2]
· apply mul_le_one
· unit_interval
· linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2]
· linarith [unitInterval.nonneg x.2, unitInterval.le_one x.2]
| 0 |
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.Degree.Lemmas
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.Tactic.ComputeDegree
#align_import linear_algebra.matrix.polynomial from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
set_option linter.uppercaseLean3 false
open Matrix Polynomial
variable {n α : Type*} [DecidableEq n] [Fintype n] [CommRing α]
open Polynomial Matrix Equiv.Perm
namespace Polynomial
theorem natDegree_det_X_add_C_le (A B : Matrix n n α) :
natDegree (det ((X : α[X]) • A.map C + B.map C : Matrix n n α[X])) ≤ Fintype.card n := by
rw [det_apply]
refine (natDegree_sum_le _ _).trans ?_
refine Multiset.max_le_of_forall_le _ _ ?_
simp only [forall_apply_eq_imp_iff, true_and_iff, Function.comp_apply, Multiset.map_map,
Multiset.mem_map, exists_imp, Finset.mem_univ_val]
intro g
calc
natDegree (sign g • ∏ i : n, (X • A.map C + B.map C : Matrix n n α[X]) (g i) i) ≤
natDegree (∏ i : n, (X • A.map C + B.map C : Matrix n n α[X]) (g i) i) := by
cases' Int.units_eq_one_or (sign g) with sg sg
· rw [sg, one_smul]
· rw [sg, Units.neg_smul, one_smul, natDegree_neg]
_ ≤ ∑ i : n, natDegree (((X : α[X]) • A.map C + B.map C : Matrix n n α[X]) (g i) i) :=
(natDegree_prod_le (Finset.univ : Finset n) fun i : n =>
(X • A.map C + B.map C : Matrix n n α[X]) (g i) i)
_ ≤ Finset.univ.card • 1 := (Finset.sum_le_card_nsmul _ _ 1 fun (i : n) _ => ?_)
_ ≤ Fintype.card n := by simp [mul_one, Algebra.id.smul_eq_mul, Finset.card_univ]
dsimp only [add_apply, smul_apply, map_apply, smul_eq_mul]
compute_degree
#align polynomial.nat_degree_det_X_add_C_le Polynomial.natDegree_det_X_add_C_le
theorem coeff_det_X_add_C_zero (A B : Matrix n n α) :
coeff (det ((X : α[X]) • A.map C + B.map C)) 0 = det B := by
rw [det_apply, finset_sum_coeff, det_apply]
refine Finset.sum_congr rfl ?_
rintro g -
convert coeff_smul (R := α) (sign g) _ 0
rw [coeff_zero_prod]
refine Finset.prod_congr rfl ?_
simp
#align polynomial.coeff_det_X_add_C_zero Polynomial.coeff_det_X_add_C_zero
theorem coeff_det_X_add_C_card (A B : Matrix n n α) :
coeff (det ((X : α[X]) • A.map C + B.map C)) (Fintype.card n) = det A := by
rw [det_apply, det_apply, finset_sum_coeff]
refine Finset.sum_congr rfl ?_
simp only [Algebra.id.smul_eq_mul, Finset.mem_univ, RingHom.mapMatrix_apply, forall_true_left,
map_apply, Pi.smul_apply]
intro g
convert coeff_smul (R := α) (sign g) _ _
rw [← mul_one (Fintype.card n)]
convert (coeff_prod_of_natDegree_le (R := α) _ _ _ _).symm
· simp [coeff_C]
· rintro p -
dsimp only [add_apply, smul_apply, map_apply, smul_eq_mul]
compute_degree
#align polynomial.coeff_det_X_add_C_card Polynomial.coeff_det_X_add_C_card
| Mathlib/LinearAlgebra/Matrix/Polynomial.lean | 89 | 102 | theorem leadingCoeff_det_X_one_add_C (A : Matrix n n α) :
leadingCoeff (det ((X : α[X]) • (1 : Matrix n n α[X]) + A.map C)) = 1 := by |
cases subsingleton_or_nontrivial α
· simp [eq_iff_true_of_subsingleton]
rw [← @det_one n, ← coeff_det_X_add_C_card _ A, leadingCoeff]
simp only [Matrix.map_one, C_eq_zero, RingHom.map_one]
rcases (natDegree_det_X_add_C_le 1 A).eq_or_lt with h | h
· simp only [RingHom.map_one, Matrix.map_one, C_eq_zero] at h
rw [h]
· -- contradiction. we have a hypothesis that the degree is less than |n|
-- but we know that coeff _ n = 1
have H := coeff_eq_zero_of_natDegree_lt h
rw [coeff_det_X_add_C_card] at H
simp at H
| 0 |
import Mathlib.Analysis.Convex.Slope
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.Tactic.LinearCombination
#align_import analysis.convex.specific_functions.basic from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92"
open Real Set NNReal
theorem strictConvexOn_exp : StrictConvexOn ℝ univ exp := by
apply strictConvexOn_of_slope_strict_mono_adjacent convex_univ
rintro x y z - - hxy hyz
trans exp y
· have h1 : 0 < y - x := by linarith
have h2 : x - y < 0 := by linarith
rw [div_lt_iff h1]
calc
exp y - exp x = exp y - exp y * exp (x - y) := by rw [← exp_add]; ring_nf
_ = exp y * (1 - exp (x - y)) := by ring
_ < exp y * -(x - y) := by gcongr; linarith [add_one_lt_exp h2.ne]
_ = exp y * (y - x) := by ring
· have h1 : 0 < z - y := by linarith
rw [lt_div_iff h1]
calc
exp y * (z - y) < exp y * (exp (z - y) - 1) := by
gcongr _ * ?_
linarith [add_one_lt_exp h1.ne']
_ = exp (z - y) * exp y - exp y := by ring
_ ≤ exp z - exp y := by rw [← exp_add]; ring_nf; rfl
#align strict_convex_on_exp strictConvexOn_exp
theorem convexOn_exp : ConvexOn ℝ univ exp :=
strictConvexOn_exp.convexOn
#align convex_on_exp convexOn_exp
theorem strictConcaveOn_log_Ioi : StrictConcaveOn ℝ (Ioi 0) log := by
apply strictConcaveOn_of_slope_strict_anti_adjacent (convex_Ioi (0 : ℝ))
intro x y z (hx : 0 < x) (hz : 0 < z) hxy hyz
have hy : 0 < y := hx.trans hxy
trans y⁻¹
· have h : 0 < z - y := by linarith
rw [div_lt_iff h]
have hyz' : 0 < z / y := by positivity
have hyz'' : z / y ≠ 1 := by
contrapose! h
rw [div_eq_one_iff_eq hy.ne'] at h
simp [h]
calc
log z - log y = log (z / y) := by rw [← log_div hz.ne' hy.ne']
_ < z / y - 1 := log_lt_sub_one_of_pos hyz' hyz''
_ = y⁻¹ * (z - y) := by field_simp
· have h : 0 < y - x := by linarith
rw [lt_div_iff h]
have hxy' : 0 < x / y := by positivity
have hxy'' : x / y ≠ 1 := by
contrapose! h
rw [div_eq_one_iff_eq hy.ne'] at h
simp [h]
calc
y⁻¹ * (y - x) = 1 - x / y := by field_simp
_ < -log (x / y) := by linarith [log_lt_sub_one_of_pos hxy' hxy'']
_ = -(log x - log y) := by rw [log_div hx.ne' hy.ne']
_ = log y - log x := by ring
#align strict_concave_on_log_Ioi strictConcaveOn_log_Ioi
theorem one_add_mul_self_lt_rpow_one_add {s : ℝ} (hs : -1 ≤ s) (hs' : s ≠ 0) {p : ℝ} (hp : 1 < p) :
1 + p * s < (1 + s) ^ p := by
have hp' : 0 < p := zero_lt_one.trans hp
rcases eq_or_lt_of_le hs with rfl | hs
· rwa [add_right_neg, zero_rpow hp'.ne', mul_neg_one, add_neg_lt_iff_lt_add, zero_add]
have hs1 : 0 < 1 + s := neg_lt_iff_pos_add'.mp hs
rcases le_or_lt (1 + p * s) 0 with hs2 | hs2
· exact hs2.trans_lt (rpow_pos_of_pos hs1 _)
have hs3 : 1 + s ≠ 1 := hs' ∘ add_right_eq_self.mp
have hs4 : 1 + p * s ≠ 1 := by
contrapose! hs'; rwa [add_right_eq_self, mul_eq_zero, eq_false_intro hp'.ne', false_or] at hs'
rw [rpow_def_of_pos hs1, ← exp_log hs2]
apply exp_strictMono
cases' lt_or_gt_of_ne hs' with hs' hs'
· rw [← div_lt_iff hp', ← div_lt_div_right_of_neg hs']
convert strictConcaveOn_log_Ioi.secant_strict_mono (zero_lt_one' ℝ) hs2 hs1 hs4 hs3 _ using 1
· rw [add_sub_cancel_left, log_one, sub_zero]
· rw [add_sub_cancel_left, div_div, log_one, sub_zero]
· apply add_lt_add_left (mul_lt_of_one_lt_left hs' hp)
· rw [← div_lt_iff hp', ← div_lt_div_right hs']
convert strictConcaveOn_log_Ioi.secant_strict_mono (zero_lt_one' ℝ) hs1 hs2 hs3 hs4 _ using 1
· rw [add_sub_cancel_left, div_div, log_one, sub_zero]
· rw [add_sub_cancel_left, log_one, sub_zero]
· apply add_lt_add_left (lt_mul_of_one_lt_left hs' hp)
#align one_add_mul_self_lt_rpow_one_add one_add_mul_self_lt_rpow_one_add
theorem one_add_mul_self_le_rpow_one_add {s : ℝ} (hs : -1 ≤ s) {p : ℝ} (hp : 1 ≤ p) :
1 + p * s ≤ (1 + s) ^ p := by
rcases eq_or_lt_of_le hp with (rfl | hp)
· simp
by_cases hs' : s = 0
· simp [hs']
exact (one_add_mul_self_lt_rpow_one_add hs hs' hp).le
#align one_add_mul_self_le_rpow_one_add one_add_mul_self_le_rpow_one_add
| Mathlib/Analysis/Convex/SpecificFunctions/Basic.lean | 138 | 163 | theorem rpow_one_add_lt_one_add_mul_self {s : ℝ} (hs : -1 ≤ s) (hs' : s ≠ 0) {p : ℝ} (hp1 : 0 < p)
(hp2 : p < 1) : (1 + s) ^ p < 1 + p * s := by |
rcases eq_or_lt_of_le hs with rfl | hs
· rwa [add_right_neg, zero_rpow hp1.ne', mul_neg_one, lt_add_neg_iff_add_lt, zero_add]
have hs1 : 0 < 1 + s := neg_lt_iff_pos_add'.mp hs
have hs2 : 0 < 1 + p * s := by
rw [← neg_lt_iff_pos_add']
rcases lt_or_gt_of_ne hs' with h | h
· exact hs.trans (lt_mul_of_lt_one_left h hp2)
· exact neg_one_lt_zero.trans (mul_pos hp1 h)
have hs3 : 1 + s ≠ 1 := hs' ∘ add_right_eq_self.mp
have hs4 : 1 + p * s ≠ 1 := by
contrapose! hs'; rwa [add_right_eq_self, mul_eq_zero, eq_false_intro hp1.ne', false_or] at hs'
rw [rpow_def_of_pos hs1, ← exp_log hs2]
apply exp_strictMono
cases' lt_or_gt_of_ne hs' with hs' hs'
· rw [← lt_div_iff hp1, ← div_lt_div_right_of_neg hs']
convert strictConcaveOn_log_Ioi.secant_strict_mono (zero_lt_one' ℝ) hs1 hs2 hs3 hs4 _ using 1
· rw [add_sub_cancel_left, div_div, log_one, sub_zero]
· rw [add_sub_cancel_left, log_one, sub_zero]
· apply add_lt_add_left (lt_mul_of_lt_one_left hs' hp2)
· rw [← lt_div_iff hp1, ← div_lt_div_right hs']
convert strictConcaveOn_log_Ioi.secant_strict_mono (zero_lt_one' ℝ) hs2 hs1 hs4 hs3 _ using 1
· rw [add_sub_cancel_left, log_one, sub_zero]
· rw [add_sub_cancel_left, div_div, log_one, sub_zero]
· apply add_lt_add_left (mul_lt_of_lt_one_left hs' hp2)
| 0 |
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