Context stringlengths 57 85k | file_name stringlengths 21 79 | start int64 14 2.42k | end int64 18 2.43k | theorem stringlengths 25 2.71k | proof stringlengths 5 10.6k |
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import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.FieldTheory.Minpoly.IsIntegrallyClosed
import Mathlib.RingTheory.PowerBasis
#align_import ring_theory.is_adjoin_root from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
open scoped Polynomial
open Polynomial
noncomputable section
universe u v
-- Porting note: this looks like something that should not be here
-- -- This class doesn't really make sense on a predicate
-- Porting note(#5171): this linter isn't ported yet.
-- @[nolint has_nonempty_instance]
structure IsAdjoinRoot {R : Type u} (S : Type v) [CommSemiring R] [Semiring S] [Algebra R S]
(f : R[X]) : Type max u v where
map : R[X] →+* S
map_surjective : Function.Surjective map
ker_map : RingHom.ker map = Ideal.span {f}
algebraMap_eq : algebraMap R S = map.comp Polynomial.C
#align is_adjoin_root IsAdjoinRoot
-- This class doesn't really make sense on a predicate
-- @[nolint has_nonempty_instance] -- Porting note: This linter does not exist yet.
structure IsAdjoinRootMonic {R : Type u} (S : Type v) [CommSemiring R] [Semiring S] [Algebra R S]
(f : R[X]) extends IsAdjoinRoot S f where
Monic : Monic f
#align is_adjoin_root_monic IsAdjoinRootMonic
section Ring
variable {R : Type u} {S : Type v} [CommRing R] [Ring S] {f : R[X]} [Algebra R S]
namespace IsAdjoinRoot
def root (h : IsAdjoinRoot S f) : S :=
h.map X
#align is_adjoin_root.root IsAdjoinRoot.root
theorem subsingleton (h : IsAdjoinRoot S f) [Subsingleton R] : Subsingleton S :=
h.map_surjective.subsingleton
#align is_adjoin_root.subsingleton IsAdjoinRoot.subsingleton
theorem algebraMap_apply (h : IsAdjoinRoot S f) (x : R) :
algebraMap R S x = h.map (Polynomial.C x) := by rw [h.algebraMap_eq, RingHom.comp_apply]
#align is_adjoin_root.algebra_map_apply IsAdjoinRoot.algebraMap_apply
@[simp]
theorem mem_ker_map (h : IsAdjoinRoot S f) {p} : p ∈ RingHom.ker h.map ↔ f ∣ p := by
rw [h.ker_map, Ideal.mem_span_singleton]
#align is_adjoin_root.mem_ker_map IsAdjoinRoot.mem_ker_map
theorem map_eq_zero_iff (h : IsAdjoinRoot S f) {p} : h.map p = 0 ↔ f ∣ p := by
rw [← h.mem_ker_map, RingHom.mem_ker]
#align is_adjoin_root.map_eq_zero_iff IsAdjoinRoot.map_eq_zero_iff
@[simp]
theorem map_X (h : IsAdjoinRoot S f) : h.map X = h.root := rfl
set_option linter.uppercaseLean3 false in
#align is_adjoin_root.map_X IsAdjoinRoot.map_X
@[simp]
theorem map_self (h : IsAdjoinRoot S f) : h.map f = 0 := h.map_eq_zero_iff.mpr dvd_rfl
#align is_adjoin_root.map_self IsAdjoinRoot.map_self
@[simp]
theorem aeval_eq (h : IsAdjoinRoot S f) (p : R[X]) : aeval h.root p = h.map p :=
Polynomial.induction_on p (fun x => by rw [aeval_C, h.algebraMap_apply])
(fun p q ihp ihq => by rw [AlgHom.map_add, RingHom.map_add, ihp, ihq]) fun n x _ => by
rw [AlgHom.map_mul, aeval_C, AlgHom.map_pow, aeval_X, RingHom.map_mul, ← h.algebraMap_apply,
RingHom.map_pow, map_X]
#align is_adjoin_root.aeval_eq IsAdjoinRoot.aeval_eq
-- @[simp] -- Porting note (#10618): simp can prove this
theorem aeval_root (h : IsAdjoinRoot S f) : aeval h.root f = 0 := by rw [aeval_eq, map_self]
#align is_adjoin_root.aeval_root IsAdjoinRoot.aeval_root
def repr (h : IsAdjoinRoot S f) (x : S) : R[X] :=
(h.map_surjective x).choose
#align is_adjoin_root.repr IsAdjoinRoot.repr
theorem map_repr (h : IsAdjoinRoot S f) (x : S) : h.map (h.repr x) = x :=
(h.map_surjective x).choose_spec
#align is_adjoin_root.map_repr IsAdjoinRoot.map_repr
theorem repr_zero_mem_span (h : IsAdjoinRoot S f) : h.repr 0 ∈ Ideal.span ({f} : Set R[X]) := by
rw [← h.ker_map, RingHom.mem_ker, h.map_repr]
#align is_adjoin_root.repr_zero_mem_span IsAdjoinRoot.repr_zero_mem_span
theorem repr_add_sub_repr_add_repr_mem_span (h : IsAdjoinRoot S f) (x y : S) :
h.repr (x + y) - (h.repr x + h.repr y) ∈ Ideal.span ({f} : Set R[X]) := by
rw [← h.ker_map, RingHom.mem_ker, map_sub, h.map_repr, map_add, h.map_repr, h.map_repr, sub_self]
#align is_adjoin_root.repr_add_sub_repr_add_repr_mem_span IsAdjoinRoot.repr_add_sub_repr_add_repr_mem_span
theorem ext_map (h h' : IsAdjoinRoot S f) (eq : ∀ x, h.map x = h'.map x) : h = h' := by
cases h; cases h'; congr
exact RingHom.ext eq
#align is_adjoin_root.ext_map IsAdjoinRoot.ext_map
@[ext]
theorem ext (h h' : IsAdjoinRoot S f) (eq : h.root = h'.root) : h = h' :=
h.ext_map h' fun x => by rw [← h.aeval_eq, ← h'.aeval_eq, eq]
#align is_adjoin_root.ext IsAdjoinRoot.ext
section lift
variable {T : Type*} [CommRing T] {i : R →+* T} {x : T} (hx : f.eval₂ i x = 0)
theorem eval₂_repr_eq_eval₂_of_map_eq (h : IsAdjoinRoot S f) (z : S) (w : R[X])
(hzw : h.map w = z) : (h.repr z).eval₂ i x = w.eval₂ i x := by
rw [eq_comm, ← sub_eq_zero, ← h.map_repr z, ← map_sub, h.map_eq_zero_iff] at hzw
obtain ⟨y, hy⟩ := hzw
rw [← sub_eq_zero, ← eval₂_sub, hy, eval₂_mul, hx, zero_mul]
#align is_adjoin_root.eval₂_repr_eq_eval₂_of_map_eq IsAdjoinRoot.eval₂_repr_eq_eval₂_of_map_eq
variable (i x)
-- To match `AdjoinRoot.lift`
def lift (h : IsAdjoinRoot S f) : S →+* T where
toFun z := (h.repr z).eval₂ i x
map_zero' := by
dsimp only -- Porting note (#10752): added `dsimp only`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ _ (map_zero _), eval₂_zero]
map_add' z w := by
dsimp only -- Porting note (#10752): added `dsimp only`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ (h.repr z + h.repr w), eval₂_add]
rw [map_add, map_repr, map_repr]
map_one' := by
beta_reduce -- Porting note (#12129): additional beta reduction needed
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ _ (map_one _), eval₂_one]
map_mul' z w := by
dsimp only -- Porting note (#10752): added `dsimp only`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ (h.repr z * h.repr w), eval₂_mul]
rw [map_mul, map_repr, map_repr]
#align is_adjoin_root.lift IsAdjoinRoot.lift
variable {i x}
@[simp]
| Mathlib/RingTheory/IsAdjoinRoot.lean | 236 | 239 | theorem lift_map (h : IsAdjoinRoot S f) (z : R[X]) : h.lift i x hx (h.map z) = z.eval₂ i x := by |
rw [lift, RingHom.coe_mk]
dsimp -- Porting note (#11227):added a `dsimp`
rw [h.eval₂_repr_eq_eval₂_of_map_eq hx _ _ rfl]
|
import Mathlib.Analysis.Calculus.ContDiff.Basic
import Mathlib.Data.Finset.Sym
import Mathlib.Data.Nat.Choose.Cast
import Mathlib.Data.Nat.Choose.Multinomial
#align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
noncomputable section
open scoped Classical NNReal Nat
universe u uD uE uF uG
open Set Fin Filter Function
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D]
[NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
{s s₁ t u : Set E}
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_aux {Du Eu Fu Gu : Type u}
[NormedAddCommGroup Du] [NormedSpace 𝕜 Du] [NormedAddCommGroup Eu] [NormedSpace 𝕜 Eu]
[NormedAddCommGroup Fu] [NormedSpace 𝕜 Fu] [NormedAddCommGroup Gu] [NormedSpace 𝕜 Gu]
(B : Eu →L[𝕜] Fu →L[𝕜] Gu) {f : Du → Eu} {g : Du → Fu} {n : ℕ} {s : Set Du} {x : Du}
(hf : ContDiffOn 𝕜 n f s) (hg : ContDiffOn 𝕜 n g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
induction' n with n IH generalizing Eu Fu Gu
· simp only [Nat.zero_eq, norm_iteratedFDerivWithin_zero, zero_add, Finset.range_one,
Finset.sum_singleton, Nat.choose_self, Nat.cast_one, one_mul, Nat.sub_zero, ← mul_assoc]
apply B.le_opNorm₂
· have In : (n : ℕ∞) + 1 ≤ n.succ := by simp only [Nat.cast_succ, le_refl]
-- Porting note: the next line is a hack allowing Lean to find the operator norm instance.
let norm := @ContinuousLinearMap.hasOpNorm _ _ Eu ((Du →L[𝕜] Fu) →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _
(RingHom.id 𝕜)
have I1 :
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n + 1 - i) g s x‖ := by
calc
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s x‖ ≤
‖B.precompR Du‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ :=
IH _ (hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In)
_ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 g s) s x‖ :=
mul_le_mul_of_nonneg_right (B.norm_precompR_le Du) (by positivity)
_ = _ := by
congr 1
apply Finset.sum_congr rfl fun i hi => ?_
rw [Nat.succ_sub (Nat.lt_succ_iff.1 (Finset.mem_range.1 hi)),
← norm_iteratedFDerivWithin_fderivWithin hs hx]
-- Porting note: the next line is a hack allowing Lean to find the operator norm instance.
let norm := @ContinuousLinearMap.hasOpNorm _ _ (Du →L[𝕜] Eu) (Fu →L[𝕜] Du →L[𝕜] Gu) _ _ _ _ _ _
(RingHom.id 𝕜)
have I2 :
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), n.choose i * ‖iteratedFDerivWithin 𝕜 (i + 1) f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
calc
‖iteratedFDerivWithin 𝕜 n (fun y : Du => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x‖ ≤
‖B.precompL Du‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
IH _ (hf.fderivWithin hs In) (hg.of_le (Nat.cast_le.2 (Nat.le_succ n)))
_ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1),
n.choose i * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 f s) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
mul_le_mul_of_nonneg_right (B.norm_precompL_le Du) (by positivity)
_ = _ := by
congr 1
apply Finset.sum_congr rfl fun i _ => ?_
rw [← norm_iteratedFDerivWithin_fderivWithin hs hx]
have J : iteratedFDerivWithin 𝕜 n
(fun y : Du => fderivWithin 𝕜 (fun y : Du => B (f y) (g y)) s y) s x =
iteratedFDerivWithin 𝕜 n (fun y => B.precompR Du (f y)
(fderivWithin 𝕜 g s y) + B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s x := by
apply iteratedFDerivWithin_congr (fun y hy => ?_) hx
have L : (1 : ℕ∞) ≤ n.succ := by
simpa only [ENat.coe_one, Nat.one_le_cast] using Nat.succ_pos n
exact B.fderivWithin_of_bilinear (hf.differentiableOn L y hy) (hg.differentiableOn L y hy)
(hs y hy)
rw [← norm_iteratedFDerivWithin_fderivWithin hs hx, J]
have A : ContDiffOn 𝕜 n (fun y => B.precompR Du (f y) (fderivWithin 𝕜 g s y)) s :=
(B.precompR Du).isBoundedBilinearMap.contDiff.comp_contDiff_on₂
(hf.of_le (Nat.cast_le.2 (Nat.le_succ n))) (hg.fderivWithin hs In)
have A' : ContDiffOn 𝕜 n (fun y => B.precompL Du (fderivWithin 𝕜 f s y) (g y)) s :=
(B.precompL Du).isBoundedBilinearMap.contDiff.comp_contDiff_on₂ (hf.fderivWithin hs In)
(hg.of_le (Nat.cast_le.2 (Nat.le_succ n)))
rw [iteratedFDerivWithin_add_apply' A A' hs hx]
apply (norm_add_le _ _).trans ((add_le_add I1 I2).trans (le_of_eq ?_))
simp_rw [← mul_add, mul_assoc]
congr 1
exact (Finset.sum_choose_succ_mul
(fun i j => ‖iteratedFDerivWithin 𝕜 i f s x‖ * ‖iteratedFDerivWithin 𝕜 j g s x‖) n).symm
#align continuous_linear_map.norm_iterated_fderiv_within_le_of_bilinear_aux ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_aux
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear (B : E →L[𝕜] F →L[𝕜] G)
{f : D → E} {g : D → F} {N : ℕ∞} {s : Set D} {x : D} (hf : ContDiffOn 𝕜 N f s)
(hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
‖B‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
let Du : Type max uD uE uF uG := ULift.{max uE uF uG, uD} D
let Eu : Type max uD uE uF uG := ULift.{max uD uF uG, uE} E
let Fu : Type max uD uE uF uG := ULift.{max uD uE uG, uF} F
let Gu : Type max uD uE uF uG := ULift.{max uD uE uF, uG} G
have isoD : Du ≃ₗᵢ[𝕜] D := LinearIsometryEquiv.ulift 𝕜 D
have isoE : Eu ≃ₗᵢ[𝕜] E := LinearIsometryEquiv.ulift 𝕜 E
have isoF : Fu ≃ₗᵢ[𝕜] F := LinearIsometryEquiv.ulift 𝕜 F
have isoG : Gu ≃ₗᵢ[𝕜] G := LinearIsometryEquiv.ulift 𝕜 G
-- lift `f` and `g` to versions `fu` and `gu` on the lifted spaces.
set fu : Du → Eu := isoE.symm ∘ f ∘ isoD with hfu
set gu : Du → Fu := isoF.symm ∘ g ∘ isoD with hgu
-- lift the bilinear map `B` to a bilinear map `Bu` on the lifted spaces.
set Bu₀ : Eu →L[𝕜] Fu →L[𝕜] G := ((B.comp (isoE : Eu →L[𝕜] E)).flip.comp (isoF : Fu →L[𝕜] F)).flip
with hBu₀
let Bu : Eu →L[𝕜] Fu →L[𝕜] Gu :=
ContinuousLinearMap.compL 𝕜 Eu (Fu →L[𝕜] G) (Fu →L[𝕜] Gu)
(ContinuousLinearMap.compL 𝕜 Fu G Gu (isoG.symm : G →L[𝕜] Gu)) Bu₀
have hBu : Bu = ContinuousLinearMap.compL 𝕜 Eu (Fu →L[𝕜] G) (Fu →L[𝕜] Gu)
(ContinuousLinearMap.compL 𝕜 Fu G Gu (isoG.symm : G →L[𝕜] Gu)) Bu₀ := rfl
have Bu_eq : (fun y => Bu (fu y) (gu y)) = isoG.symm ∘ (fun y => B (f y) (g y)) ∘ isoD := by
ext1 y
simp [hBu, hBu₀, hfu, hgu]
-- All norms are preserved by the lifting process.
have Bu_le : ‖Bu‖ ≤ ‖B‖ := by
refine' ContinuousLinearMap.opNorm_le_bound _ (norm_nonneg B) fun y => _
refine' ContinuousLinearMap.opNorm_le_bound _ (by positivity) fun x => _
simp only [hBu, hBu₀, compL_apply, coe_comp', Function.comp_apply,
ContinuousLinearEquiv.coe_coe, LinearIsometryEquiv.coe_coe, flip_apply,
LinearIsometryEquiv.norm_map]
calc
‖B (isoE y) (isoF x)‖ ≤ ‖B (isoE y)‖ * ‖isoF x‖ := ContinuousLinearMap.le_opNorm _ _
_ ≤ ‖B‖ * ‖isoE y‖ * ‖isoF x‖ := by gcongr; apply ContinuousLinearMap.le_opNorm
_ = ‖B‖ * ‖y‖ * ‖x‖ := by simp only [LinearIsometryEquiv.norm_map]
let su := isoD ⁻¹' s
have hsu : UniqueDiffOn 𝕜 su := isoD.toContinuousLinearEquiv.uniqueDiffOn_preimage_iff.2 hs
let xu := isoD.symm x
have hxu : xu ∈ su := by
simpa only [xu, su, Set.mem_preimage, LinearIsometryEquiv.apply_symm_apply] using hx
have xu_x : isoD xu = x := by simp only [xu, LinearIsometryEquiv.apply_symm_apply]
have hfu : ContDiffOn 𝕜 n fu su :=
isoE.symm.contDiff.comp_contDiffOn
((hf.of_le hn).comp_continuousLinearMap (isoD : Du →L[𝕜] D))
have hgu : ContDiffOn 𝕜 n gu su :=
isoF.symm.contDiff.comp_contDiffOn
((hg.of_le hn).comp_continuousLinearMap (isoD : Du →L[𝕜] D))
have Nfu : ∀ i, ‖iteratedFDerivWithin 𝕜 i fu su xu‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
intro i
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
have Ngu : ∀ i, ‖iteratedFDerivWithin 𝕜 i gu su xu‖ = ‖iteratedFDerivWithin 𝕜 i g s x‖ := by
intro i
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
have NBu :
‖iteratedFDerivWithin 𝕜 n (fun y => Bu (fu y) (gu y)) su xu‖ =
‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ := by
rw [Bu_eq]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hsu hxu]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ hs, xu_x]
rwa [← xu_x] at hx
-- state the bound for the lifted objects, and deduce the original bound from it.
have : ‖iteratedFDerivWithin 𝕜 n (fun y => Bu (fu y) (gu y)) su xu‖ ≤
‖Bu‖ * ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i fu su xu‖ *
‖iteratedFDerivWithin 𝕜 (n - i) gu su xu‖ :=
Bu.norm_iteratedFDerivWithin_le_of_bilinear_aux hfu hgu hsu hxu
simp only [Nfu, Ngu, NBu] at this
exact this.trans (mul_le_mul_of_nonneg_right Bu_le (by positivity))
#align continuous_linear_map.norm_iterated_fderiv_within_le_of_bilinear ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear
theorem ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear (B : E →L[𝕜] F →L[𝕜] G) {f : D → E}
{g : D → F} {N : ℕ∞} (hf : ContDiff 𝕜 N f) (hg : ContDiff 𝕜 N g) (x : D) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y => B (f y) (g y)) x‖ ≤ ‖B‖ * ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp_rw [← iteratedFDerivWithin_univ]
exact B.norm_iteratedFDerivWithin_le_of_bilinear hf.contDiffOn hg.contDiffOn uniqueDiffOn_univ
(mem_univ x) hn
#align continuous_linear_map.norm_iterated_fderiv_le_of_bilinear ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear
theorem ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
(B : E →L[𝕜] F →L[𝕜] G) {f : D → E} {g : D → F} {N : ℕ∞} {s : Set D} {x : D}
(hf : ContDiffOn 𝕜 N f s) (hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) (hB : ‖B‖ ≤ 1) : ‖iteratedFDerivWithin 𝕜 n (fun y => B (f y) (g y)) s x‖ ≤
∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
apply (B.norm_iteratedFDerivWithin_le_of_bilinear hf hg hs hx hn).trans
exact mul_le_of_le_one_left (by positivity) hB
#align continuous_linear_map.norm_iterated_fderiv_within_le_of_bilinear_of_le_one ContinuousLinearMap.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
theorem ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear_of_le_one (B : E →L[𝕜] F →L[𝕜] G)
{f : D → E} {g : D → F} {N : ℕ∞} (hf : ContDiff 𝕜 N f) (hg : ContDiff 𝕜 N g) (x : D) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) (hB : ‖B‖ ≤ 1) : ‖iteratedFDeriv 𝕜 n (fun y => B (f y) (g y)) x‖ ≤
∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp_rw [← iteratedFDerivWithin_univ]
exact B.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one hf.contDiffOn hg.contDiffOn
uniqueDiffOn_univ (mem_univ x) hn hB
#align continuous_linear_map.norm_iterated_fderiv_le_of_bilinear_of_le_one ContinuousLinearMap.norm_iteratedFDeriv_le_of_bilinear_of_le_one
section
variable {𝕜' : Type*} [NormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F]
[IsScalarTower 𝕜 𝕜' F]
theorem norm_iteratedFDerivWithin_smul_le {f : E → 𝕜'} {g : E → F} {N : ℕ∞}
(hf : ContDiffOn 𝕜 N f s) (hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) {x : E} (hx : x ∈ s)
{n : ℕ} (hn : (n : ℕ∞) ≤ N) : ‖iteratedFDerivWithin 𝕜 n (fun y => f y • g y) s x‖ ≤
∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
(ContinuousLinearMap.lsmul 𝕜 𝕜' :
𝕜' →L[𝕜] F →L[𝕜] F).norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
hf hg hs hx hn ContinuousLinearMap.opNorm_lsmul_le
#align norm_iterated_fderiv_within_smul_le norm_iteratedFDerivWithin_smul_le
theorem norm_iteratedFDeriv_smul_le {f : E → 𝕜'} {g : E → F} {N : ℕ∞} (hf : ContDiff 𝕜 N f)
(hg : ContDiff 𝕜 N g) (x : E) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y => f y • g y) x‖ ≤ ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ :=
(ContinuousLinearMap.lsmul 𝕜 𝕜' : 𝕜' →L[𝕜] F →L[𝕜] F).norm_iteratedFDeriv_le_of_bilinear_of_le_one
hf hg x hn ContinuousLinearMap.opNorm_lsmul_le
#align norm_iterated_fderiv_smul_le norm_iteratedFDeriv_smul_le
end
section
variable {ι : Type*} {A : Type*} [NormedRing A] [NormedAlgebra 𝕜 A] {A' : Type*} [NormedCommRing A']
[NormedAlgebra 𝕜 A']
theorem norm_iteratedFDerivWithin_mul_le {f : E → A} {g : E → A} {N : ℕ∞} (hf : ContDiffOn 𝕜 N f s)
(hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s) {x : E} (hx : x ∈ s) {n : ℕ}
(hn : (n : ℕ∞) ≤ N) : ‖iteratedFDerivWithin 𝕜 n (fun y => f y * g y) s x‖ ≤
∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ :=
(ContinuousLinearMap.mul 𝕜 A :
A →L[𝕜] A →L[𝕜] A).norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
hf hg hs hx hn (ContinuousLinearMap.opNorm_mul_le _ _)
#align norm_iterated_fderiv_within_mul_le norm_iteratedFDerivWithin_mul_le
theorem norm_iteratedFDeriv_mul_le {f : E → A} {g : E → A} {N : ℕ∞} (hf : ContDiff 𝕜 N f)
(hg : ContDiff 𝕜 N g) (x : E) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y => f y * g y) x‖ ≤ ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp_rw [← iteratedFDerivWithin_univ]
exact norm_iteratedFDerivWithin_mul_le
hf.contDiffOn hg.contDiffOn uniqueDiffOn_univ (mem_univ x) hn
#align norm_iterated_fderiv_mul_le norm_iteratedFDeriv_mul_le
-- TODO: Add `norm_iteratedFDeriv[Within]_list_prod_le` for non-commutative `NormedRing A`.
theorem norm_iteratedFDerivWithin_prod_le [DecidableEq ι] [NormOneClass A'] {u : Finset ι}
{f : ι → E → A'} {N : ℕ∞} (hf : ∀ i ∈ u, ContDiffOn 𝕜 N (f i) s) (hs : UniqueDiffOn 𝕜 s) {x : E}
(hx : x ∈ s) {n : ℕ} (hn : (n : ℕ∞) ≤ N) :
‖iteratedFDerivWithin 𝕜 n (∏ j ∈ u, f j ·) s x‖ ≤
∑ p ∈ u.sym n, (p : Multiset ι).multinomial *
∏ j ∈ u, ‖iteratedFDerivWithin 𝕜 (Multiset.count j p) (f j) s x‖ := by
induction u using Finset.induction generalizing n with
| empty =>
cases n with
| zero => simp [Sym.eq_nil_of_card_zero]
| succ n => simp [iteratedFDerivWithin_succ_const _ _ hs hx]
| @insert i u hi IH =>
conv => lhs; simp only [Finset.prod_insert hi]
simp only [Finset.mem_insert, forall_eq_or_imp] at hf
refine le_trans (norm_iteratedFDerivWithin_mul_le hf.1 (contDiffOn_prod hf.2) hs hx hn) ?_
rw [← Finset.sum_coe_sort (Finset.sym _ _)]
rw [Finset.sum_equiv (Finset.symInsertEquiv hi) (t := Finset.univ)
(g := (fun v ↦ v.multinomial *
∏ j ∈ insert i u, ‖iteratedFDerivWithin 𝕜 (v.count j) (f j) s x‖) ∘
Sym.toMultiset ∘ Subtype.val ∘ (Finset.symInsertEquiv hi).symm)
(by simp) (by simp only [← comp_apply (g := Finset.symInsertEquiv hi), comp.assoc]; simp)]
rw [← Finset.univ_sigma_univ, Finset.sum_sigma, Finset.sum_range]
simp only [comp_apply, Finset.symInsertEquiv_symm_apply_coe]
refine Finset.sum_le_sum ?_
intro m _
specialize IH hf.2 (n := n - m) (le_trans (WithTop.coe_le_coe.mpr (n.sub_le m)) hn)
refine le_trans (mul_le_mul_of_nonneg_left IH (by simp [mul_nonneg])) ?_
rw [Finset.mul_sum, ← Finset.sum_coe_sort]
refine Finset.sum_le_sum ?_
simp only [Finset.mem_univ, forall_true_left, Subtype.forall, Finset.mem_sym_iff]
intro p hp
refine le_of_eq ?_
rw [Finset.prod_insert hi]
have hip : i ∉ p := mt (hp i) hi
rw [Sym.count_coe_fill_self_of_not_mem hip, Sym.multinomial_coe_fill_of_not_mem hip]
suffices ∏ j ∈ u, ‖iteratedFDerivWithin 𝕜 (Multiset.count j p) (f j) s x‖ =
∏ j ∈ u, ‖iteratedFDerivWithin 𝕜 (Multiset.count j (Sym.fill i m p)) (f j) s x‖ by
rw [this, Nat.cast_mul]
ring
refine Finset.prod_congr rfl ?_
intro j hj
have hji : j ≠ i := mt (· ▸ hj) hi
rw [Sym.count_coe_fill_of_ne hji]
theorem norm_iteratedFDeriv_prod_le [DecidableEq ι] [NormOneClass A'] {u : Finset ι}
{f : ι → E → A'} {N : ℕ∞} (hf : ∀ i ∈ u, ContDiff 𝕜 N (f i)) {x : E} {n : ℕ}
(hn : (n : ℕ∞) ≤ N) :
‖iteratedFDeriv 𝕜 n (∏ j ∈ u, f j ·) x‖ ≤
∑ p ∈ u.sym n, (p : Multiset ι).multinomial *
∏ j ∈ u, ‖iteratedFDeriv 𝕜 ((p : Multiset ι).count j) (f j) x‖ := by
simpa [iteratedFDerivWithin_univ] using
norm_iteratedFDerivWithin_prod_le (fun i hi ↦ (hf i hi).contDiffOn) uniqueDiffOn_univ
(mem_univ x) hn
end
theorem norm_iteratedFDerivWithin_comp_le_aux {Fu Gu : Type u} [NormedAddCommGroup Fu]
[NormedSpace 𝕜 Fu] [NormedAddCommGroup Gu] [NormedSpace 𝕜 Gu] {g : Fu → Gu} {f : E → Fu} {n : ℕ}
{s : Set E} {t : Set Fu} {x : E} (hg : ContDiffOn 𝕜 n g t) (hf : ContDiffOn 𝕜 n f s)
(ht : UniqueDiffOn 𝕜 t) (hs : UniqueDiffOn 𝕜 s) (hst : MapsTo f s t) (hx : x ∈ s) {C : ℝ}
{D : ℝ} (hC : ∀ i, i ≤ n → ‖iteratedFDerivWithin 𝕜 i g t (f x)‖ ≤ C)
(hD : ∀ i, 1 ≤ i → i ≤ n → ‖iteratedFDerivWithin 𝕜 i f s x‖ ≤ D ^ i) :
‖iteratedFDerivWithin 𝕜 n (g ∘ f) s x‖ ≤ n ! * C * D ^ n := by
induction' n using Nat.case_strong_induction_on with n IH generalizing Gu
· simpa [norm_iteratedFDerivWithin_zero, Nat.factorial_zero, algebraMap.coe_one, one_mul,
pow_zero, mul_one, comp_apply] using hC 0 le_rfl
have M : (n : ℕ∞) < n.succ := Nat.cast_lt.2 n.lt_succ_self
have Cnonneg : 0 ≤ C := (norm_nonneg _).trans (hC 0 bot_le)
have Dnonneg : 0 ≤ D := by
have : 1 ≤ n + 1 := by simp only [le_add_iff_nonneg_left, zero_le']
simpa only [pow_one] using (norm_nonneg _).trans (hD 1 le_rfl this)
-- use the inductive assumption to bound the derivatives of `g' ∘ f`.
have I : ∀ i ∈ Finset.range (n + 1),
‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 g t ∘ f) s x‖ ≤ i ! * C * D ^ i := by
intro i hi
simp only [Finset.mem_range_succ_iff] at hi
apply IH i hi
· apply hg.fderivWithin ht
simp only [Nat.cast_succ]
exact add_le_add_right (Nat.cast_le.2 hi) _
· apply hf.of_le (Nat.cast_le.2 (hi.trans n.le_succ))
· intro j hj
have : ‖iteratedFDerivWithin 𝕜 j (fderivWithin 𝕜 g t) t (f x)‖ =
‖iteratedFDerivWithin 𝕜 (j + 1) g t (f x)‖ := by
rw [iteratedFDerivWithin_succ_eq_comp_right ht (hst hx), comp_apply,
LinearIsometryEquiv.norm_map]
rw [this]
exact hC (j + 1) (add_le_add (hj.trans hi) le_rfl)
· intro j hj h'j
exact hD j hj (h'j.trans (hi.trans n.le_succ))
-- reformulate `hD` as a bound for the derivatives of `f'`.
have J : ∀ i, ‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 f s) s x‖ ≤ D ^ (n - i + 1) := by
intro i
have : ‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 f s) s x‖ =
‖iteratedFDerivWithin 𝕜 (n - i + 1) f s x‖ := by
rw [iteratedFDerivWithin_succ_eq_comp_right hs hx, comp_apply, LinearIsometryEquiv.norm_map]
rw [this]
apply hD
· simp only [le_add_iff_nonneg_left, zero_le']
· apply Nat.succ_le_succ tsub_le_self
-- Now put these together: first, notice that we have to bound `D^n (g' ∘ f ⬝ f')`.
calc
‖iteratedFDerivWithin 𝕜 (n + 1) (g ∘ f) s x‖ =
‖iteratedFDerivWithin 𝕜 n (fun y : E => fderivWithin 𝕜 (g ∘ f) s y) s x‖ := by
rw [iteratedFDerivWithin_succ_eq_comp_right hs hx, comp_apply,
LinearIsometryEquiv.norm_map]
_ = ‖iteratedFDerivWithin 𝕜 n (fun y : E => ContinuousLinearMap.compL 𝕜 E Fu Gu
(fderivWithin 𝕜 g t (f y)) (fderivWithin 𝕜 f s y)) s x‖ := by
have L : (1 : ℕ∞) ≤ n.succ := by simpa only [ENat.coe_one, Nat.one_le_cast] using n.succ_pos
congr 1
refine iteratedFDerivWithin_congr (fun y hy => ?_) hx _
apply fderivWithin.comp _ _ _ hst (hs y hy)
· exact hg.differentiableOn L _ (hst hy)
· exact hf.differentiableOn L _ hy
-- bound it using the fact that the composition of linear maps is a bilinear operation,
-- for which we have bounds for the`n`-th derivative.
_ ≤ ∑ i ∈ Finset.range (n + 1),
(n.choose i : ℝ) * ‖iteratedFDerivWithin 𝕜 i (fderivWithin 𝕜 g t ∘ f) s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) (fderivWithin 𝕜 f s) s x‖ := by
have A : ContDiffOn 𝕜 n (fderivWithin 𝕜 g t ∘ f) s := by
apply ContDiffOn.comp _ (hf.of_le M.le) hst
apply hg.fderivWithin ht
simp only [Nat.cast_succ, le_refl]
have B : ContDiffOn 𝕜 n (fderivWithin 𝕜 f s) s := by
apply hf.fderivWithin hs
simp only [Nat.cast_succ, le_refl]
exact (ContinuousLinearMap.compL 𝕜 E Fu Gu).norm_iteratedFDerivWithin_le_of_bilinear_of_le_one
A B hs hx le_rfl (ContinuousLinearMap.norm_compL_le 𝕜 E Fu Gu)
-- bound each of the terms using the estimates on previous derivatives (that use the inductive
-- assumption for `g' ∘ f`).
_ ≤ ∑ i ∈ Finset.range (n + 1), (n.choose i : ℝ) * (i ! * C * D ^ i) * D ^ (n - i + 1) := by
gcongr with i hi
· simp only [mul_assoc (n.choose i : ℝ)]
exact I i hi
· exact J i
-- We are left with trivial algebraic manipulations to see that this is smaller than
-- the claimed bound.
_ = ∑ i ∈ Finset.range (n + 1),
-- Porting note: had to insert a few more explicit type ascriptions in this and similar
-- expressions.
(n ! : ℝ) * ((i ! : ℝ)⁻¹ * i !) * C * (D ^ i * D ^ (n - i + 1)) * ((n - i)! : ℝ)⁻¹ := by
congr! 1 with i hi
simp only [Nat.cast_choose ℝ (Finset.mem_range_succ_iff.1 hi), div_eq_inv_mul, mul_inv]
ring
_ = ∑ i ∈ Finset.range (n + 1), (n ! : ℝ) * 1 * C * D ^ (n + 1) * ((n - i)! : ℝ)⁻¹ := by
congr! with i hi
· apply inv_mul_cancel
simpa only [Ne, Nat.cast_eq_zero] using i.factorial_ne_zero
· rw [← pow_add]
congr 1
rw [Nat.add_succ, Nat.succ_inj']
exact Nat.add_sub_of_le (Finset.mem_range_succ_iff.1 hi)
_ ≤ ∑ i ∈ Finset.range (n + 1), (n ! : ℝ) * 1 * C * D ^ (n + 1) * 1 := by
gcongr with i
apply inv_le_one
simpa only [Nat.one_le_cast] using (n - i).factorial_pos
_ = (n + 1)! * C * D ^ (n + 1) := by
simp only [mul_assoc, mul_one, Finset.sum_const, Finset.card_range, nsmul_eq_mul,
Nat.factorial_succ, Nat.cast_mul]
#align norm_iterated_fderiv_within_comp_le_aux norm_iteratedFDerivWithin_comp_le_aux
theorem norm_iteratedFDerivWithin_comp_le {g : F → G} {f : E → F} {n : ℕ} {s : Set E} {t : Set F}
{x : E} {N : ℕ∞} (hg : ContDiffOn 𝕜 N g t) (hf : ContDiffOn 𝕜 N f s) (hn : (n : ℕ∞) ≤ N)
(ht : UniqueDiffOn 𝕜 t) (hs : UniqueDiffOn 𝕜 s) (hst : MapsTo f s t) (hx : x ∈ s) {C : ℝ}
{D : ℝ} (hC : ∀ i, i ≤ n → ‖iteratedFDerivWithin 𝕜 i g t (f x)‖ ≤ C)
(hD : ∀ i, 1 ≤ i → i ≤ n → ‖iteratedFDerivWithin 𝕜 i f s x‖ ≤ D ^ i) :
‖iteratedFDerivWithin 𝕜 n (g ∘ f) s x‖ ≤ n ! * C * D ^ n := by
let Fu : Type max uF uG := ULift.{uG, uF} F
let Gu : Type max uF uG := ULift.{uF, uG} G
have isoF : Fu ≃ₗᵢ[𝕜] F := LinearIsometryEquiv.ulift 𝕜 F
have isoG : Gu ≃ₗᵢ[𝕜] G := LinearIsometryEquiv.ulift 𝕜 G
-- lift `f` and `g` to versions `fu` and `gu` on the lifted spaces.
let fu : E → Fu := isoF.symm ∘ f
let gu : Fu → Gu := isoG.symm ∘ g ∘ isoF
let tu := isoF ⁻¹' t
have htu : UniqueDiffOn 𝕜 tu := isoF.toContinuousLinearEquiv.uniqueDiffOn_preimage_iff.2 ht
have hstu : MapsTo fu s tu := fun y hy ↦ by
simpa only [fu, tu, mem_preimage, comp_apply, LinearIsometryEquiv.apply_symm_apply] using hst hy
have Ffu : isoF (fu x) = f x := by
simp only [fu, comp_apply, LinearIsometryEquiv.apply_symm_apply]
-- All norms are preserved by the lifting process.
have hfu : ContDiffOn 𝕜 n fu s := isoF.symm.contDiff.comp_contDiffOn (hf.of_le hn)
have hgu : ContDiffOn 𝕜 n gu tu :=
isoG.symm.contDiff.comp_contDiffOn
((hg.of_le hn).comp_continuousLinearMap (isoF : Fu →L[𝕜] F))
have Nfu : ∀ i, ‖iteratedFDerivWithin 𝕜 i fu s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := fun i ↦ by
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hs hx]
simp_rw [← Nfu] at hD
have Ngu : ∀ i,
‖iteratedFDerivWithin 𝕜 i gu tu (fu x)‖ = ‖iteratedFDerivWithin 𝕜 i g t (f x)‖ := fun i ↦ by
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ htu (hstu hx)]
rw [LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right _ _ ht, Ffu]
rw [Ffu]
exact hst hx
simp_rw [← Ngu] at hC
have Nfgu :
‖iteratedFDerivWithin 𝕜 n (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 n (gu ∘ fu) s x‖ := by
have : gu ∘ fu = isoG.symm ∘ g ∘ f := by
ext x
simp only [fu, gu, comp_apply, LinearIsometryEquiv.map_eq_iff,
LinearIsometryEquiv.apply_symm_apply]
rw [this, LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left _ _ hs hx]
-- deduce the required bound from the one for `gu ∘ fu`.
rw [Nfgu]
exact norm_iteratedFDerivWithin_comp_le_aux hgu hfu htu hs hstu hx hC hD
#align norm_iterated_fderiv_within_comp_le norm_iteratedFDerivWithin_comp_le
theorem norm_iteratedFDeriv_comp_le {g : F → G} {f : E → F} {n : ℕ} {N : ℕ∞} (hg : ContDiff 𝕜 N g)
(hf : ContDiff 𝕜 N f) (hn : (n : ℕ∞) ≤ N) (x : E) {C : ℝ} {D : ℝ}
(hC : ∀ i, i ≤ n → ‖iteratedFDeriv 𝕜 i g (f x)‖ ≤ C)
(hD : ∀ i, 1 ≤ i → i ≤ n → ‖iteratedFDeriv 𝕜 i f x‖ ≤ D ^ i) :
‖iteratedFDeriv 𝕜 n (g ∘ f) x‖ ≤ n ! * C * D ^ n := by
simp_rw [← iteratedFDerivWithin_univ] at hC hD ⊢
exact norm_iteratedFDerivWithin_comp_le hg.contDiffOn hf.contDiffOn hn uniqueDiffOn_univ
uniqueDiffOn_univ (mapsTo_univ _ _) (mem_univ x) hC hD
#align norm_iterated_fderiv_comp_le norm_iteratedFDeriv_comp_le
section Apply
theorem norm_iteratedFDerivWithin_clm_apply {f : E → F →L[𝕜] G} {g : E → F} {s : Set E} {x : E}
{N : ℕ∞} {n : ℕ} (hf : ContDiffOn 𝕜 N f s) (hg : ContDiffOn 𝕜 N g s) (hs : UniqueDiffOn 𝕜 s)
(hx : x ∈ s) (hn : ↑n ≤ N) : ‖iteratedFDerivWithin 𝕜 n (fun y => (f y) (g y)) s x‖ ≤
∑ i ∈ Finset.range (n + 1), ↑(n.choose i) * ‖iteratedFDerivWithin 𝕜 i f s x‖ *
‖iteratedFDerivWithin 𝕜 (n - i) g s x‖ := by
let B : (F →L[𝕜] G) →L[𝕜] F →L[𝕜] G := ContinuousLinearMap.flip (ContinuousLinearMap.apply 𝕜 G)
have hB : ‖B‖ ≤ 1 := by
simp only [B, ContinuousLinearMap.opNorm_flip, ContinuousLinearMap.apply]
refine ContinuousLinearMap.opNorm_le_bound _ zero_le_one fun f => ?_
simp only [ContinuousLinearMap.coe_id', id, one_mul]
rfl
exact B.norm_iteratedFDerivWithin_le_of_bilinear_of_le_one hf hg hs hx hn hB
#align norm_iterated_fderiv_within_clm_apply norm_iteratedFDerivWithin_clm_apply
theorem norm_iteratedFDeriv_clm_apply {f : E → F →L[𝕜] G} {g : E → F} {N : ℕ∞} {n : ℕ}
(hf : ContDiff 𝕜 N f) (hg : ContDiff 𝕜 N g) (x : E) (hn : ↑n ≤ N) :
‖iteratedFDeriv 𝕜 n (fun y : E => (f y) (g y)) x‖ ≤ ∑ i ∈ Finset.range (n + 1),
↑(n.choose i) * ‖iteratedFDeriv 𝕜 i f x‖ * ‖iteratedFDeriv 𝕜 (n - i) g x‖ := by
simp only [← iteratedFDerivWithin_univ]
exact norm_iteratedFDerivWithin_clm_apply hf.contDiffOn hg.contDiffOn uniqueDiffOn_univ
(Set.mem_univ x) hn
#align norm_iterated_fderiv_clm_apply norm_iteratedFDeriv_clm_apply
| Mathlib/Analysis/Calculus/ContDiff/Bounds.lean | 561 | 571 | theorem norm_iteratedFDerivWithin_clm_apply_const {f : E → F →L[𝕜] G} {c : F} {s : Set E} {x : E}
{N : ℕ∞} {n : ℕ} (hf : ContDiffOn 𝕜 N f s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (hn : ↑n ≤ N) :
‖iteratedFDerivWithin 𝕜 n (fun y : E => (f y) c) s x‖ ≤
‖c‖ * ‖iteratedFDerivWithin 𝕜 n f s x‖ := by |
let g : (F →L[𝕜] G) →L[𝕜] G := ContinuousLinearMap.apply 𝕜 G c
have h := g.norm_compContinuousMultilinearMap_le (iteratedFDerivWithin 𝕜 n f s x)
rw [← g.iteratedFDerivWithin_comp_left hf hs hx hn] at h
refine h.trans (mul_le_mul_of_nonneg_right ?_ (norm_nonneg _))
refine g.opNorm_le_bound (norm_nonneg _) fun f => ?_
rw [ContinuousLinearMap.apply_apply, mul_comm]
exact f.le_opNorm c
|
import Mathlib.RingTheory.IntegrallyClosed
import Mathlib.RingTheory.Trace
import Mathlib.RingTheory.Norm
#align_import ring_theory.discriminant from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
universe u v w z
open scoped Matrix
open Matrix FiniteDimensional Fintype Polynomial Finset IntermediateField
namespace Algebra
variable (A : Type u) {B : Type v} (C : Type z) {ι : Type w} [DecidableEq ι]
variable [CommRing A] [CommRing B] [Algebra A B] [CommRing C] [Algebra A C]
section Discr
-- Porting note: using `[DecidableEq ι]` instead of `by classical...` did not work in
-- mathlib3.
noncomputable def discr (A : Type u) {B : Type v} [CommRing A] [CommRing B] [Algebra A B]
[Fintype ι] (b : ι → B) := (traceMatrix A b).det
#align algebra.discr Algebra.discr
theorem discr_def [Fintype ι] (b : ι → B) : discr A b = (traceMatrix A b).det := rfl
variable {A C} in
theorem discr_eq_discr_of_algEquiv [Fintype ι] (b : ι → B) (f : B ≃ₐ[A] C) :
Algebra.discr A b = Algebra.discr A (f ∘ b) := by
rw [discr_def]; congr; ext
simp_rw [traceMatrix_apply, traceForm_apply, Function.comp, ← map_mul f, trace_eq_of_algEquiv]
#align algebra.discr_def Algebra.discr_def
variable {ι' : Type*} [Fintype ι'] [Fintype ι] [DecidableEq ι']
section Field
variable (K : Type u) {L : Type v} (E : Type z) [Field K] [Field L] [Field E]
variable [Algebra K L] [Algebra K E]
variable [Module.Finite K L] [IsAlgClosed E]
theorem discr_not_zero_of_basis [IsSeparable K L] (b : Basis ι K L) :
discr K b ≠ 0 := by
rw [discr_def, traceMatrix_of_basis, ← LinearMap.BilinForm.nondegenerate_iff_det_ne_zero]
exact traceForm_nondegenerate _ _
#align algebra.discr_not_zero_of_basis Algebra.discr_not_zero_of_basis
theorem discr_isUnit_of_basis [IsSeparable K L] (b : Basis ι K L) : IsUnit (discr K b) :=
IsUnit.mk0 _ (discr_not_zero_of_basis _ _)
#align algebra.discr_is_unit_of_basis Algebra.discr_isUnit_of_basis
variable (b : ι → L) (pb : PowerBasis K L)
theorem discr_eq_det_embeddingsMatrixReindex_pow_two [IsSeparable K L] (e : ι ≃ (L →ₐ[K] E)) :
algebraMap K E (discr K b) = (embeddingsMatrixReindex K E b e).det ^ 2 := by
rw [discr_def, RingHom.map_det, RingHom.mapMatrix_apply,
traceMatrix_eq_embeddingsMatrixReindex_mul_trans, det_mul, det_transpose, pow_two]
#align algebra.discr_eq_det_embeddings_matrix_reindex_pow_two Algebra.discr_eq_det_embeddingsMatrixReindex_pow_two
theorem discr_powerBasis_eq_prod (e : Fin pb.dim ≃ (L →ₐ[K] E)) [IsSeparable K L] :
algebraMap K E (discr K pb.basis) =
∏ i : Fin pb.dim, ∏ j ∈ Ioi i, (e j pb.gen - e i pb.gen) ^ 2 := by
rw [discr_eq_det_embeddingsMatrixReindex_pow_two K E pb.basis e,
embeddingsMatrixReindex_eq_vandermonde, det_transpose, det_vandermonde, ← prod_pow]
congr; ext i
rw [← prod_pow]
#align algebra.discr_power_basis_eq_prod Algebra.discr_powerBasis_eq_prod
theorem discr_powerBasis_eq_prod' [IsSeparable K L] (e : Fin pb.dim ≃ (L →ₐ[K] E)) :
algebraMap K E (discr K pb.basis) =
∏ i : Fin pb.dim, ∏ j ∈ Ioi i, -((e j pb.gen - e i pb.gen) * (e i pb.gen - e j pb.gen)) := by
rw [discr_powerBasis_eq_prod _ _ _ e]
congr; ext i; congr; ext j
ring
#align algebra.discr_power_basis_eq_prod' Algebra.discr_powerBasis_eq_prod'
local notation "n" => finrank K L
theorem discr_powerBasis_eq_prod'' [IsSeparable K L] (e : Fin pb.dim ≃ (L →ₐ[K] E)) :
algebraMap K E (discr K pb.basis) =
(-1) ^ (n * (n - 1) / 2) *
∏ i : Fin pb.dim, ∏ j ∈ Ioi i, (e j pb.gen - e i pb.gen) * (e i pb.gen - e j pb.gen) := by
rw [discr_powerBasis_eq_prod' _ _ _ e]
simp_rw [fun i j => neg_eq_neg_one_mul ((e j pb.gen - e i pb.gen) * (e i pb.gen - e j pb.gen)),
prod_mul_distrib]
congr
simp only [prod_pow_eq_pow_sum, prod_const]
congr
rw [← @Nat.cast_inj ℚ, Nat.cast_sum]
have : ∀ x : Fin pb.dim, ↑x + 1 ≤ pb.dim := by simp [Nat.succ_le_iff, Fin.is_lt]
simp_rw [Fin.card_Ioi, Nat.sub_sub, add_comm 1]
simp only [Nat.cast_sub, this, Finset.card_fin, nsmul_eq_mul, sum_const, sum_sub_distrib,
Nat.cast_add, Nat.cast_one, sum_add_distrib, mul_one]
rw [← Nat.cast_sum, ← @Finset.sum_range ℕ _ pb.dim fun i => i, sum_range_id]
have hn : n = pb.dim := by
rw [← AlgHom.card K L E, ← Fintype.card_fin pb.dim]
-- FIXME: Without the `Fintype` namespace, why does it complain about `Finset.card_congr` being
-- deprecated?
exact Fintype.card_congr e.symm
have h₂ : 2 ∣ pb.dim * (pb.dim - 1) := pb.dim.even_mul_pred_self.two_dvd
have hne : ((2 : ℕ) : ℚ) ≠ 0 := by simp
have hle : 1 ≤ pb.dim := by
rw [← hn, Nat.one_le_iff_ne_zero, ← zero_lt_iff, FiniteDimensional.finrank_pos_iff]
infer_instance
rw [hn, Nat.cast_div h₂ hne, Nat.cast_mul, Nat.cast_sub hle]
field_simp
ring
#align algebra.discr_power_basis_eq_prod'' Algebra.discr_powerBasis_eq_prod''
-- Porting note: `(minpoly K pb.gen).derivative` does not work anymore.
theorem discr_powerBasis_eq_norm [IsSeparable K L] :
discr K pb.basis =
(-1) ^ (n * (n - 1) / 2) *
norm K (aeval pb.gen (derivative (R := K) (minpoly K pb.gen))) := by
let E := AlgebraicClosure L
letI := fun a b : E => Classical.propDecidable (Eq a b)
have e : Fin pb.dim ≃ (L →ₐ[K] E) := by
refine equivOfCardEq ?_
rw [Fintype.card_fin, AlgHom.card]
exact (PowerBasis.finrank pb).symm
have hnodup : ((minpoly K pb.gen).aroots E).Nodup :=
nodup_roots (Separable.map (IsSeparable.separable K pb.gen))
have hroots : ∀ σ : L →ₐ[K] E, σ pb.gen ∈ (minpoly K pb.gen).aroots E := by
intro σ
rw [mem_roots, IsRoot.def, eval_map, ← aeval_def, aeval_algHom_apply]
repeat' simp [minpoly.ne_zero (IsSeparable.isIntegral K pb.gen)]
apply (algebraMap K E).injective
rw [RingHom.map_mul, RingHom.map_pow, RingHom.map_neg, RingHom.map_one,
discr_powerBasis_eq_prod'' _ _ _ e]
congr
rw [norm_eq_prod_embeddings, prod_prod_Ioi_mul_eq_prod_prod_off_diag]
conv_rhs =>
congr
rfl
ext σ
rw [← aeval_algHom_apply,
aeval_root_derivative_of_splits (minpoly.monic (IsSeparable.isIntegral K pb.gen))
(IsAlgClosed.splits_codomain _) (hroots σ),
← Finset.prod_mk _ (hnodup.erase _)]
rw [prod_sigma', prod_sigma']
refine prod_bij' (fun i _ ↦ ⟨e i.2, e i.1 pb.gen⟩)
(fun σ hσ ↦ ⟨e.symm (PowerBasis.lift pb σ.2 ?_), e.symm σ.1⟩) ?_ ?_ ?_ ?_ (fun i _ ↦ by simp)
-- Porting note: `@mem_compl` was not necessary.
<;> simp only [mem_sigma, mem_univ, Finset.mem_mk, hnodup.mem_erase_iff, IsRoot.def,
mem_roots', minpoly.ne_zero (IsSeparable.isIntegral K pb.gen), not_false_eq_true,
mem_singleton, true_and, @mem_compl _ _ _ (_), Sigma.forall, Equiv.apply_symm_apply,
PowerBasis.lift_gen, and_imp, implies_true, forall_const, Equiv.symm_apply_apply,
Sigma.ext_iff, Equiv.symm_apply_eq, heq_eq_eq, and_true] at *
· simpa only [aeval_def, eval₂_eq_eval_map] using hσ.2.2
· exact fun a b hba ↦ ⟨fun h ↦ hba <| e.injective <| pb.algHom_ext h.symm, hroots _⟩
· rintro a b hba ha
rw [ha, PowerBasis.lift_gen] at hba
exact hba.1 rfl
· exact fun a b _ ↦ pb.algHom_ext <| pb.lift_gen _ _
#align algebra.discr_power_basis_eq_norm Algebra.discr_powerBasis_eq_norm
section Integral
variable {R : Type z} [CommRing R] [Algebra R K] [Algebra R L] [IsScalarTower R K L]
| Mathlib/RingTheory/Discriminant.lean | 267 | 270 | theorem discr_isIntegral {b : ι → L} (h : ∀ i, IsIntegral R (b i)) : IsIntegral R (discr K b) := by |
classical
rw [discr_def]
exact IsIntegral.det fun i j ↦ isIntegral_trace ((h i).mul (h j))
|
import Mathlib.CategoryTheory.NatIso
#align_import category_theory.bicategory.basic from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
namespace CategoryTheory
universe w v u
open Category Iso
-- intended to be used with explicit universe parameters
@[nolint checkUnivs]
class Bicategory (B : Type u) extends CategoryStruct.{v} B where
-- category structure on the collection of 1-morphisms:
homCategory : ∀ a b : B, Category.{w} (a ⟶ b) := by infer_instance
-- left whiskering:
whiskerLeft {a b c : B} (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) : f ≫ g ⟶ f ≫ h
-- right whiskering:
whiskerRight {a b c : B} {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) : f ≫ h ⟶ g ≫ h
-- associator:
associator {a b c d : B} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) : (f ≫ g) ≫ h ≅ f ≫ g ≫ h
-- left unitor:
leftUnitor {a b : B} (f : a ⟶ b) : 𝟙 a ≫ f ≅ f
-- right unitor:
rightUnitor {a b : B} (f : a ⟶ b) : f ≫ 𝟙 b ≅ f
-- axioms for left whiskering:
whiskerLeft_id : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerLeft f (𝟙 g) = 𝟙 (f ≫ g) := by
aesop_cat
whiskerLeft_comp :
∀ {a b c} (f : a ⟶ b) {g h i : b ⟶ c} (η : g ⟶ h) (θ : h ⟶ i),
whiskerLeft f (η ≫ θ) = whiskerLeft f η ≫ whiskerLeft f θ := by
aesop_cat
id_whiskerLeft :
∀ {a b} {f g : a ⟶ b} (η : f ⟶ g),
whiskerLeft (𝟙 a) η = (leftUnitor f).hom ≫ η ≫ (leftUnitor g).inv := by
aesop_cat
comp_whiskerLeft :
∀ {a b c d} (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h'),
whiskerLeft (f ≫ g) η =
(associator f g h).hom ≫ whiskerLeft f (whiskerLeft g η) ≫ (associator f g h').inv := by
aesop_cat
-- axioms for right whiskering:
id_whiskerRight : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerRight (𝟙 f) g = 𝟙 (f ≫ g) := by
aesop_cat
comp_whiskerRight :
∀ {a b c} {f g h : a ⟶ b} (η : f ⟶ g) (θ : g ⟶ h) (i : b ⟶ c),
whiskerRight (η ≫ θ) i = whiskerRight η i ≫ whiskerRight θ i := by
aesop_cat
whiskerRight_id :
∀ {a b} {f g : a ⟶ b} (η : f ⟶ g),
whiskerRight η (𝟙 b) = (rightUnitor f).hom ≫ η ≫ (rightUnitor g).inv := by
aesop_cat
whiskerRight_comp :
∀ {a b c d} {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d),
whiskerRight η (g ≫ h) =
(associator f g h).inv ≫ whiskerRight (whiskerRight η g) h ≫ (associator f' g h).hom := by
aesop_cat
-- associativity of whiskerings:
whisker_assoc :
∀ {a b c d} (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d),
whiskerRight (whiskerLeft f η) h =
(associator f g h).hom ≫ whiskerLeft f (whiskerRight η h) ≫ (associator f g' h).inv := by
aesop_cat
-- exchange law of left and right whiskerings:
whisker_exchange :
∀ {a b c} {f g : a ⟶ b} {h i : b ⟶ c} (η : f ⟶ g) (θ : h ⟶ i),
whiskerLeft f θ ≫ whiskerRight η i = whiskerRight η h ≫ whiskerLeft g θ := by
aesop_cat
-- pentagon identity:
pentagon :
∀ {a b c d e} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e),
whiskerRight (associator f g h).hom i ≫
(associator f (g ≫ h) i).hom ≫ whiskerLeft f (associator g h i).hom =
(associator (f ≫ g) h i).hom ≫ (associator f g (h ≫ i)).hom := by
aesop_cat
-- triangle identity:
triangle :
∀ {a b c} (f : a ⟶ b) (g : b ⟶ c),
(associator f (𝟙 b) g).hom ≫ whiskerLeft f (leftUnitor g).hom
= whiskerRight (rightUnitor f).hom g := by
aesop_cat
#align category_theory.bicategory CategoryTheory.Bicategory
#align category_theory.bicategory.hom_category CategoryTheory.Bicategory.homCategory
#align category_theory.bicategory.whisker_left CategoryTheory.Bicategory.whiskerLeft
#align category_theory.bicategory.whisker_right CategoryTheory.Bicategory.whiskerRight
#align category_theory.bicategory.left_unitor CategoryTheory.Bicategory.leftUnitor
#align category_theory.bicategory.right_unitor CategoryTheory.Bicategory.rightUnitor
#align category_theory.bicategory.whisker_left_id' CategoryTheory.Bicategory.whiskerLeft_id
#align category_theory.bicategory.whisker_left_comp' CategoryTheory.Bicategory.whiskerLeft_comp
#align category_theory.bicategory.id_whisker_left' CategoryTheory.Bicategory.id_whiskerLeft
#align category_theory.bicategory.comp_whisker_left' CategoryTheory.Bicategory.comp_whiskerLeft
#align category_theory.bicategory.id_whisker_right' CategoryTheory.Bicategory.id_whiskerRight
#align category_theory.bicategory.comp_whisker_right' CategoryTheory.Bicategory.comp_whiskerRight
#align category_theory.bicategory.whisker_right_id' CategoryTheory.Bicategory.whiskerRight_id
#align category_theory.bicategory.whisker_right_comp' CategoryTheory.Bicategory.whiskerRight_comp
#align category_theory.bicategory.whisker_assoc' CategoryTheory.Bicategory.whisker_assoc
#align category_theory.bicategory.whisker_exchange' CategoryTheory.Bicategory.whisker_exchange
#align category_theory.bicategory.pentagon' CategoryTheory.Bicategory.pentagon
#align category_theory.bicategory.triangle' CategoryTheory.Bicategory.triangle
namespace Bicategory
scoped infixr:81 " ◁ " => Bicategory.whiskerLeft
scoped infixl:81 " ▷ " => Bicategory.whiskerRight
scoped notation "α_" => Bicategory.associator
scoped notation "λ_" => Bicategory.leftUnitor
scoped notation "ρ_" => Bicategory.rightUnitor
attribute [instance] homCategory
attribute [reassoc]
whiskerLeft_comp id_whiskerLeft comp_whiskerLeft comp_whiskerRight whiskerRight_id
whiskerRight_comp whisker_assoc whisker_exchange
attribute [reassoc (attr := simp)] pentagon triangle
attribute [simp]
whiskerLeft_id whiskerLeft_comp id_whiskerLeft comp_whiskerLeft id_whiskerRight comp_whiskerRight
whiskerRight_id whiskerRight_comp whisker_assoc
variable {B : Type u} [Bicategory.{w, v} B] {a b c d e : B}
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) :
f ◁ η.hom ≫ f ◁ η.inv = 𝟙 (f ≫ g) := by rw [← whiskerLeft_comp, hom_inv_id, whiskerLeft_id]
#align category_theory.bicategory.hom_inv_whisker_left CategoryTheory.Bicategory.whiskerLeft_hom_inv
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) :
η.hom ▷ h ≫ η.inv ▷ h = 𝟙 (f ≫ h) := by rw [← comp_whiskerRight, hom_inv_id, id_whiskerRight]
#align category_theory.bicategory.hom_inv_whisker_right CategoryTheory.Bicategory.hom_inv_whiskerRight
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) :
f ◁ η.inv ≫ f ◁ η.hom = 𝟙 (f ≫ h) := by rw [← whiskerLeft_comp, inv_hom_id, whiskerLeft_id]
#align category_theory.bicategory.inv_hom_whisker_left CategoryTheory.Bicategory.whiskerLeft_inv_hom
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) :
η.inv ▷ h ≫ η.hom ▷ h = 𝟙 (g ≫ h) := by rw [← comp_whiskerRight, inv_hom_id, id_whiskerRight]
#align category_theory.bicategory.inv_hom_whisker_right CategoryTheory.Bicategory.inv_hom_whiskerRight
@[simps]
def whiskerLeftIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) : f ≫ g ≅ f ≫ h where
hom := f ◁ η.hom
inv := f ◁ η.inv
#align category_theory.bicategory.whisker_left_iso CategoryTheory.Bicategory.whiskerLeftIso
instance whiskerLeft_isIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] : IsIso (f ◁ η) :=
(whiskerLeftIso f (asIso η)).isIso_hom
#align category_theory.bicategory.whisker_left_is_iso CategoryTheory.Bicategory.whiskerLeft_isIso
@[simp]
theorem inv_whiskerLeft (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] :
inv (f ◁ η) = f ◁ inv η := by
apply IsIso.inv_eq_of_hom_inv_id
simp only [← whiskerLeft_comp, whiskerLeft_id, IsIso.hom_inv_id]
#align category_theory.bicategory.inv_whisker_left CategoryTheory.Bicategory.inv_whiskerLeft
@[simps!]
def whiskerRightIso {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) : f ≫ h ≅ g ≫ h where
hom := η.hom ▷ h
inv := η.inv ▷ h
#align category_theory.bicategory.whisker_right_iso CategoryTheory.Bicategory.whiskerRightIso
instance whiskerRight_isIso {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] : IsIso (η ▷ h) :=
(whiskerRightIso (asIso η) h).isIso_hom
#align category_theory.bicategory.whisker_right_is_iso CategoryTheory.Bicategory.whiskerRight_isIso
@[simp]
theorem inv_whiskerRight {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] :
inv (η ▷ h) = inv η ▷ h := by
apply IsIso.inv_eq_of_hom_inv_id
simp only [← comp_whiskerRight, id_whiskerRight, IsIso.hom_inv_id]
#align category_theory.bicategory.inv_whisker_right CategoryTheory.Bicategory.inv_whiskerRight
@[reassoc (attr := simp)]
theorem pentagon_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i =
(α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv CategoryTheory.Bicategory.pentagon_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_inv_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom =
f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv := by
rw [← cancel_epi (f ◁ (α_ g h i).inv), ← cancel_mono (α_ (f ≫ g) h i).inv]
simp
#align category_theory.bicategory.pentagon_inv_inv_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_inv_hom_hom_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_hom_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom =
(α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv_hom_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_hom_hom_hom_inv
@[reassoc (attr := simp)]
theorem pentagon_hom_inv_inv_inv_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv =
(α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i := by
simp [← cancel_epi (f ◁ (α_ g h i).inv)]
#align category_theory.bicategory.pentagon_hom_inv_inv_inv_inv CategoryTheory.Bicategory.pentagon_hom_inv_inv_inv_inv
@[reassoc (attr := simp)]
theorem pentagon_hom_hom_inv_hom_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ (f ≫ g) h i).hom ≫ (α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv =
(α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_hom_hom_inv_hom_hom CategoryTheory.Bicategory.pentagon_hom_hom_inv_hom_hom
@[reassoc (attr := simp)]
theorem pentagon_hom_inv_inv_inv_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv =
(α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i := by
rw [← cancel_epi (α_ f g (h ≫ i)).inv, ← cancel_mono ((α_ f g h).inv ▷ i)]
simp
#align category_theory.bicategory.pentagon_hom_inv_inv_inv_hom CategoryTheory.Bicategory.pentagon_hom_inv_inv_inv_hom
@[reassoc (attr := simp)]
theorem pentagon_hom_hom_inv_inv_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f (g ≫ h) i).hom ≫ f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv =
(α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_hom_hom_inv_inv_hom CategoryTheory.Bicategory.pentagon_hom_hom_inv_inv_hom
@[reassoc (attr := simp)]
theorem pentagon_inv_hom_hom_hom_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom ≫ (α_ f g (h ≫ i)).hom =
(α_ f (g ≫ h) i).hom ≫ f ◁ (α_ g h i).hom := by
simp [← cancel_epi ((α_ f g h).hom ▷ i)]
#align category_theory.bicategory.pentagon_inv_hom_hom_hom_hom CategoryTheory.Bicategory.pentagon_inv_hom_hom_hom_hom
@[reassoc (attr := simp)]
theorem pentagon_inv_inv_hom_inv_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i =
f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv_inv_hom_inv_inv CategoryTheory.Bicategory.pentagon_inv_inv_hom_inv_inv
theorem triangle_assoc_comp_left (f : a ⟶ b) (g : b ⟶ c) :
(α_ f (𝟙 b) g).hom ≫ f ◁ (λ_ g).hom = (ρ_ f).hom ▷ g :=
triangle f g
#align category_theory.bicategory.triangle_assoc_comp_left CategoryTheory.Bicategory.triangle_assoc_comp_left
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_right (f : a ⟶ b) (g : b ⟶ c) :
(α_ f (𝟙 b) g).inv ≫ (ρ_ f).hom ▷ g = f ◁ (λ_ g).hom := by rw [← triangle, inv_hom_id_assoc]
#align category_theory.bicategory.triangle_assoc_comp_right CategoryTheory.Bicategory.triangle_assoc_comp_right
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_right_inv (f : a ⟶ b) (g : b ⟶ c) :
(ρ_ f).inv ▷ g ≫ (α_ f (𝟙 b) g).hom = f ◁ (λ_ g).inv := by
simp [← cancel_mono (f ◁ (λ_ g).hom)]
#align category_theory.bicategory.triangle_assoc_comp_right_inv CategoryTheory.Bicategory.triangle_assoc_comp_right_inv
@[reassoc (attr := simp)]
theorem triangle_assoc_comp_left_inv (f : a ⟶ b) (g : b ⟶ c) :
f ◁ (λ_ g).inv ≫ (α_ f (𝟙 b) g).inv = (ρ_ f).inv ▷ g := by
simp [← cancel_mono ((ρ_ f).hom ▷ g)]
#align category_theory.bicategory.triangle_assoc_comp_left_inv CategoryTheory.Bicategory.triangle_assoc_comp_left_inv
@[reassoc]
theorem associator_naturality_left {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) :
η ▷ g ▷ h ≫ (α_ f' g h).hom = (α_ f g h).hom ≫ η ▷ (g ≫ h) := by simp
#align category_theory.bicategory.associator_naturality_left CategoryTheory.Bicategory.associator_naturality_left
@[reassoc]
theorem associator_inv_naturality_left {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) :
η ▷ (g ≫ h) ≫ (α_ f' g h).inv = (α_ f g h).inv ≫ η ▷ g ▷ h := by simp
#align category_theory.bicategory.associator_inv_naturality_left CategoryTheory.Bicategory.associator_inv_naturality_left
@[reassoc]
theorem whiskerRight_comp_symm {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d) :
η ▷ g ▷ h = (α_ f g h).hom ≫ η ▷ (g ≫ h) ≫ (α_ f' g h).inv := by simp
#align category_theory.bicategory.whisker_right_comp_symm CategoryTheory.Bicategory.whiskerRight_comp_symm
@[reassoc]
theorem associator_naturality_middle (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) :
(f ◁ η) ▷ h ≫ (α_ f g' h).hom = (α_ f g h).hom ≫ f ◁ η ▷ h := by simp
#align category_theory.bicategory.associator_naturality_middle CategoryTheory.Bicategory.associator_naturality_middle
@[reassoc]
theorem associator_inv_naturality_middle (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) :
f ◁ η ▷ h ≫ (α_ f g' h).inv = (α_ f g h).inv ≫ (f ◁ η) ▷ h := by simp
#align category_theory.bicategory.associator_inv_naturality_middle CategoryTheory.Bicategory.associator_inv_naturality_middle
@[reassoc]
theorem whisker_assoc_symm (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d) :
f ◁ η ▷ h = (α_ f g h).inv ≫ (f ◁ η) ▷ h ≫ (α_ f g' h).hom := by simp
#align category_theory.bicategory.whisker_assoc_symm CategoryTheory.Bicategory.whisker_assoc_symm
@[reassoc]
theorem associator_naturality_right (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h') :
(f ≫ g) ◁ η ≫ (α_ f g h').hom = (α_ f g h).hom ≫ f ◁ g ◁ η := by simp
#align category_theory.bicategory.associator_naturality_right CategoryTheory.Bicategory.associator_naturality_right
@[reassoc]
theorem associator_inv_naturality_right (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h') :
f ◁ g ◁ η ≫ (α_ f g h').inv = (α_ f g h).inv ≫ (f ≫ g) ◁ η := by simp
#align category_theory.bicategory.associator_inv_naturality_right CategoryTheory.Bicategory.associator_inv_naturality_right
@[reassoc]
theorem comp_whiskerLeft_symm (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h') :
f ◁ g ◁ η = (α_ f g h).inv ≫ (f ≫ g) ◁ η ≫ (α_ f g h').hom := by simp
#align category_theory.bicategory.comp_whisker_left_symm CategoryTheory.Bicategory.comp_whiskerLeft_symm
@[reassoc]
theorem leftUnitor_naturality {f g : a ⟶ b} (η : f ⟶ g) :
𝟙 a ◁ η ≫ (λ_ g).hom = (λ_ f).hom ≫ η := by
simp
#align category_theory.bicategory.left_unitor_naturality CategoryTheory.Bicategory.leftUnitor_naturality
@[reassoc]
theorem leftUnitor_inv_naturality {f g : a ⟶ b} (η : f ⟶ g) :
η ≫ (λ_ g).inv = (λ_ f).inv ≫ 𝟙 a ◁ η := by simp
#align category_theory.bicategory.left_unitor_inv_naturality CategoryTheory.Bicategory.leftUnitor_inv_naturality
| Mathlib/CategoryTheory/Bicategory/Basic.lean | 394 | 395 | theorem id_whiskerLeft_symm {f g : a ⟶ b} (η : f ⟶ g) : η = (λ_ f).inv ≫ 𝟙 a ◁ η ≫ (λ_ g).hom := by |
simp
|
import Mathlib.Algebra.MonoidAlgebra.Support
import Mathlib.Algebra.Polynomial.Basic
import Mathlib.Algebra.Regular.Basic
import Mathlib.Data.Nat.Choose.Sum
#align_import data.polynomial.coeff from "leanprover-community/mathlib"@"2651125b48fc5c170ab1111afd0817c903b1fc6c"
set_option linter.uppercaseLean3 false
noncomputable section
open Finsupp Finset AddMonoidAlgebra
open Polynomial
namespace Polynomial
universe u v
variable {R : Type u} {S : Type v} {a b : R} {n m : ℕ}
variable [Semiring R] {p q r : R[X]}
section Coeff
@[simp]
theorem coeff_add (p q : R[X]) (n : ℕ) : coeff (p + q) n = coeff p n + coeff q n := by
rcases p with ⟨⟩
rcases q with ⟨⟩
simp_rw [← ofFinsupp_add, coeff]
exact Finsupp.add_apply _ _ _
#align polynomial.coeff_add Polynomial.coeff_add
set_option linter.deprecated false in
@[simp]
theorem coeff_bit0 (p : R[X]) (n : ℕ) : coeff (bit0 p) n = bit0 (coeff p n) := by simp [bit0]
#align polynomial.coeff_bit0 Polynomial.coeff_bit0
@[simp]
theorem coeff_smul [SMulZeroClass S R] (r : S) (p : R[X]) (n : ℕ) :
coeff (r • p) n = r • coeff p n := by
rcases p with ⟨⟩
simp_rw [← ofFinsupp_smul, coeff]
exact Finsupp.smul_apply _ _ _
#align polynomial.coeff_smul Polynomial.coeff_smul
theorem support_smul [SMulZeroClass S R] (r : S) (p : R[X]) :
support (r • p) ⊆ support p := by
intro i hi
simp? [mem_support_iff] at hi ⊢ says simp only [mem_support_iff, coeff_smul, ne_eq] at hi ⊢
contrapose! hi
simp [hi]
#align polynomial.support_smul Polynomial.support_smul
open scoped Pointwise in
theorem card_support_mul_le : (p * q).support.card ≤ p.support.card * q.support.card := by
calc (p * q).support.card
_ = (p.toFinsupp * q.toFinsupp).support.card := by rw [← support_toFinsupp, toFinsupp_mul]
_ ≤ (p.toFinsupp.support + q.toFinsupp.support).card :=
Finset.card_le_card (AddMonoidAlgebra.support_mul p.toFinsupp q.toFinsupp)
_ ≤ p.support.card * q.support.card := Finset.card_image₂_le ..
@[simps]
def lsum {R A M : Type*} [Semiring R] [Semiring A] [AddCommMonoid M] [Module R A] [Module R M]
(f : ℕ → A →ₗ[R] M) : A[X] →ₗ[R] M where
toFun p := p.sum (f · ·)
map_add' p q := sum_add_index p q _ (fun n => (f n).map_zero) fun n _ _ => (f n).map_add _ _
map_smul' c p := by
-- Porting note: added `dsimp only`; `beta_reduce` alone is not sufficient
dsimp only
rw [sum_eq_of_subset (f · ·) (fun n => (f n).map_zero) (support_smul c p)]
simp only [sum_def, Finset.smul_sum, coeff_smul, LinearMap.map_smul, RingHom.id_apply]
#align polynomial.lsum Polynomial.lsum
#align polynomial.lsum_apply Polynomial.lsum_apply
variable (R)
def lcoeff (n : ℕ) : R[X] →ₗ[R] R where
toFun p := coeff p n
map_add' p q := coeff_add p q n
map_smul' r p := coeff_smul r p n
#align polynomial.lcoeff Polynomial.lcoeff
variable {R}
@[simp]
theorem lcoeff_apply (n : ℕ) (f : R[X]) : lcoeff R n f = coeff f n :=
rfl
#align polynomial.lcoeff_apply Polynomial.lcoeff_apply
@[simp]
theorem finset_sum_coeff {ι : Type*} (s : Finset ι) (f : ι → R[X]) (n : ℕ) :
coeff (∑ b ∈ s, f b) n = ∑ b ∈ s, coeff (f b) n :=
map_sum (lcoeff R n) _ _
#align polynomial.finset_sum_coeff Polynomial.finset_sum_coeff
lemma coeff_list_sum (l : List R[X]) (n : ℕ) :
l.sum.coeff n = (l.map (lcoeff R n)).sum :=
map_list_sum (lcoeff R n) _
lemma coeff_list_sum_map {ι : Type*} (l : List ι) (f : ι → R[X]) (n : ℕ) :
(l.map f).sum.coeff n = (l.map (fun a => (f a).coeff n)).sum := by
simp_rw [coeff_list_sum, List.map_map, Function.comp, lcoeff_apply]
theorem coeff_sum [Semiring S] (n : ℕ) (f : ℕ → R → S[X]) :
coeff (p.sum f) n = p.sum fun a b => coeff (f a b) n := by
rcases p with ⟨⟩
-- porting note (#10745): was `simp [Polynomial.sum, support, coeff]`.
simp [Polynomial.sum, support_ofFinsupp, coeff_ofFinsupp]
#align polynomial.coeff_sum Polynomial.coeff_sum
theorem coeff_mul (p q : R[X]) (n : ℕ) :
coeff (p * q) n = ∑ x ∈ antidiagonal n, coeff p x.1 * coeff q x.2 := by
rcases p with ⟨p⟩; rcases q with ⟨q⟩
simp_rw [← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.mul_apply_antidiagonal p q n _ Finset.mem_antidiagonal
#align polynomial.coeff_mul Polynomial.coeff_mul
@[simp]
theorem mul_coeff_zero (p q : R[X]) : coeff (p * q) 0 = coeff p 0 * coeff q 0 := by simp [coeff_mul]
#align polynomial.mul_coeff_zero Polynomial.mul_coeff_zero
@[simps]
def constantCoeff : R[X] →+* R where
toFun p := coeff p 0
map_one' := coeff_one_zero
map_mul' := mul_coeff_zero
map_zero' := coeff_zero 0
map_add' p q := coeff_add p q 0
#align polynomial.constant_coeff Polynomial.constantCoeff
#align polynomial.constant_coeff_apply Polynomial.constantCoeff_apply
theorem isUnit_C {x : R} : IsUnit (C x) ↔ IsUnit x :=
⟨fun h => (congr_arg IsUnit coeff_C_zero).mp (h.map <| @constantCoeff R _), fun h => h.map C⟩
#align polynomial.is_unit_C Polynomial.isUnit_C
theorem coeff_mul_X_zero (p : R[X]) : coeff (p * X) 0 = 0 := by simp
#align polynomial.coeff_mul_X_zero Polynomial.coeff_mul_X_zero
theorem coeff_X_mul_zero (p : R[X]) : coeff (X * p) 0 = 0 := by simp
#align polynomial.coeff_X_mul_zero Polynomial.coeff_X_mul_zero
theorem coeff_C_mul_X_pow (x : R) (k n : ℕ) :
coeff (C x * X ^ k : R[X]) n = if n = k then x else 0 := by
rw [C_mul_X_pow_eq_monomial, coeff_monomial]
congr 1
simp [eq_comm]
#align polynomial.coeff_C_mul_X_pow Polynomial.coeff_C_mul_X_pow
theorem coeff_C_mul_X (x : R) (n : ℕ) : coeff (C x * X : R[X]) n = if n = 1 then x else 0 := by
rw [← pow_one X, coeff_C_mul_X_pow]
#align polynomial.coeff_C_mul_X Polynomial.coeff_C_mul_X
@[simp]
theorem coeff_C_mul (p : R[X]) : coeff (C a * p) n = a * coeff p n := by
rcases p with ⟨p⟩
simp_rw [← monomial_zero_left, ← ofFinsupp_single, ← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.single_zero_mul_apply p a n
#align polynomial.coeff_C_mul Polynomial.coeff_C_mul
theorem C_mul' (a : R) (f : R[X]) : C a * f = a • f := by
ext
rw [coeff_C_mul, coeff_smul, smul_eq_mul]
#align polynomial.C_mul' Polynomial.C_mul'
@[simp]
theorem coeff_mul_C (p : R[X]) (n : ℕ) (a : R) : coeff (p * C a) n = coeff p n * a := by
rcases p with ⟨p⟩
simp_rw [← monomial_zero_left, ← ofFinsupp_single, ← ofFinsupp_mul, coeff]
exact AddMonoidAlgebra.mul_single_zero_apply p a n
#align polynomial.coeff_mul_C Polynomial.coeff_mul_C
@[simp] lemma coeff_mul_natCast {a k : ℕ} :
coeff (p * (a : R[X])) k = coeff p k * (↑a : R) := coeff_mul_C _ _ _
@[simp] lemma coeff_natCast_mul {a k : ℕ} :
coeff ((a : R[X]) * p) k = a * coeff p k := coeff_C_mul _
-- See note [no_index around OfNat.ofNat]
@[simp] lemma coeff_mul_ofNat {a k : ℕ} [Nat.AtLeastTwo a] :
coeff (p * (no_index (OfNat.ofNat a) : R[X])) k = coeff p k * OfNat.ofNat a := coeff_mul_C _ _ _
-- See note [no_index around OfNat.ofNat]
@[simp] lemma coeff_ofNat_mul {a k : ℕ} [Nat.AtLeastTwo a] :
coeff ((no_index (OfNat.ofNat a) : R[X]) * p) k = OfNat.ofNat a * coeff p k := coeff_C_mul _
@[simp] lemma coeff_mul_intCast [Ring S] {p : S[X]} {a : ℤ} {k : ℕ} :
coeff (p * (a : S[X])) k = coeff p k * (↑a : S) := coeff_mul_C _ _ _
@[simp] lemma coeff_intCast_mul [Ring S] {p : S[X]} {a : ℤ} {k : ℕ} :
coeff ((a : S[X]) * p) k = a * coeff p k := coeff_C_mul _
@[simp]
theorem coeff_X_pow (k n : ℕ) : coeff (X ^ k : R[X]) n = if n = k then 1 else 0 := by
simp only [one_mul, RingHom.map_one, ← coeff_C_mul_X_pow]
#align polynomial.coeff_X_pow Polynomial.coeff_X_pow
theorem coeff_X_pow_self (n : ℕ) : coeff (X ^ n : R[X]) n = 1 := by simp
#align polynomial.coeff_X_pow_self Polynomial.coeff_X_pow_self
@[simp]
theorem coeff_mul_X_pow (p : R[X]) (n d : ℕ) :
coeff (p * Polynomial.X ^ n) (d + n) = coeff p d := by
rw [coeff_mul, Finset.sum_eq_single (d, n), coeff_X_pow, if_pos rfl, mul_one]
· rintro ⟨i, j⟩ h1 h2
rw [coeff_X_pow, if_neg, mul_zero]
rintro rfl
apply h2
rw [mem_antidiagonal, add_right_cancel_iff] at h1
subst h1
rfl
· exact fun h1 => (h1 (mem_antidiagonal.2 rfl)).elim
#align polynomial.coeff_mul_X_pow Polynomial.coeff_mul_X_pow
@[simp]
theorem coeff_X_pow_mul (p : R[X]) (n d : ℕ) :
coeff (Polynomial.X ^ n * p) (d + n) = coeff p d := by
rw [(commute_X_pow p n).eq, coeff_mul_X_pow]
#align polynomial.coeff_X_pow_mul Polynomial.coeff_X_pow_mul
theorem coeff_mul_X_pow' (p : R[X]) (n d : ℕ) :
(p * X ^ n).coeff d = ite (n ≤ d) (p.coeff (d - n)) 0 := by
split_ifs with h
· rw [← tsub_add_cancel_of_le h, coeff_mul_X_pow, add_tsub_cancel_right]
· refine (coeff_mul _ _ _).trans (Finset.sum_eq_zero fun x hx => ?_)
rw [coeff_X_pow, if_neg, mul_zero]
exact ((le_of_add_le_right (mem_antidiagonal.mp hx).le).trans_lt <| not_le.mp h).ne
#align polynomial.coeff_mul_X_pow' Polynomial.coeff_mul_X_pow'
theorem coeff_X_pow_mul' (p : R[X]) (n d : ℕ) :
(X ^ n * p).coeff d = ite (n ≤ d) (p.coeff (d - n)) 0 := by
rw [(commute_X_pow p n).eq, coeff_mul_X_pow']
#align polynomial.coeff_X_pow_mul' Polynomial.coeff_X_pow_mul'
@[simp]
theorem coeff_mul_X (p : R[X]) (n : ℕ) : coeff (p * X) (n + 1) = coeff p n := by
simpa only [pow_one] using coeff_mul_X_pow p 1 n
#align polynomial.coeff_mul_X Polynomial.coeff_mul_X
@[simp]
theorem coeff_X_mul (p : R[X]) (n : ℕ) : coeff (X * p) (n + 1) = coeff p n := by
rw [(commute_X p).eq, coeff_mul_X]
#align polynomial.coeff_X_mul Polynomial.coeff_X_mul
| Mathlib/Algebra/Polynomial/Coeff.lean | 302 | 304 | theorem coeff_mul_monomial (p : R[X]) (n d : ℕ) (r : R) :
coeff (p * monomial n r) (d + n) = coeff p d * r := by |
rw [← C_mul_X_pow_eq_monomial, ← X_pow_mul, ← mul_assoc, coeff_mul_C, coeff_mul_X_pow]
|
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
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]
#align measure_theory.condexp_undef MeasureTheory.condexp_undef
@[simp]
theorem condexp_zero : μ[(0 : α → 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
exact
condexp_of_stronglyMeasurable hm (@stronglyMeasurable_zero _ _ m _ _) (integrable_zero _ _ _)
#align measure_theory.condexp_zero MeasureTheory.condexp_zero
theorem stronglyMeasurable_condexp : StronglyMeasurable[m] (μ[f|m]) := by
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm]; exact stronglyMeasurable_zero
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hμm]; exact stronglyMeasurable_zero
haveI : SigmaFinite (μ.trim hm) := hμm
rw [condexp_of_sigmaFinite hm]
split_ifs with hfi hfm
· exact hfm
· exact AEStronglyMeasurable'.stronglyMeasurable_mk _
· exact stronglyMeasurable_zero
#align measure_theory.strongly_measurable_condexp MeasureTheory.stronglyMeasurable_condexp
theorem condexp_congr_ae (h : f =ᵐ[μ] g) : μ[f|m] =ᵐ[μ] μ[g|m] := by
by_cases hm : m ≤ m0
swap; · simp_rw [condexp_of_not_le hm]; rfl
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · simp_rw [condexp_of_not_sigmaFinite hm hμm]; rfl
haveI : SigmaFinite (μ.trim hm) := hμm
exact (condexp_ae_eq_condexpL1 hm f).trans
(Filter.EventuallyEq.trans (by rw [condexpL1_congr_ae hm h])
(condexp_ae_eq_condexpL1 hm g).symm)
#align measure_theory.condexp_congr_ae MeasureTheory.condexp_congr_ae
theorem condexp_of_aestronglyMeasurable' (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] {f : α → F'}
(hf : AEStronglyMeasurable' m f μ) (hfi : Integrable f μ) : μ[f|m] =ᵐ[μ] f := by
refine ((condexp_congr_ae hf.ae_eq_mk).trans ?_).trans hf.ae_eq_mk.symm
rw [condexp_of_stronglyMeasurable hm hf.stronglyMeasurable_mk
((integrable_congr hf.ae_eq_mk).mp hfi)]
#align measure_theory.condexp_of_ae_strongly_measurable' MeasureTheory.condexp_of_aestronglyMeasurable'
theorem integrable_condexp : Integrable (μ[f|m]) μ := by
by_cases hm : m ≤ m0
swap; · rw [condexp_of_not_le hm]; exact integrable_zero _ _ _
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · rw [condexp_of_not_sigmaFinite hm hμm]; exact integrable_zero _ _ _
haveI : SigmaFinite (μ.trim hm) := hμm
exact (integrable_condexpL1 f).congr (condexp_ae_eq_condexpL1 hm f).symm
#align measure_theory.integrable_condexp MeasureTheory.integrable_condexp
theorem setIntegral_condexp (hm : m ≤ m0) [SigmaFinite (μ.trim hm)] (hf : Integrable f μ)
(hs : MeasurableSet[m] s) : ∫ x in s, (μ[f|m]) x ∂μ = ∫ x in s, f x ∂μ := by
rw [setIntegral_congr_ae (hm s hs) ((condexp_ae_eq_condexpL1 hm f).mono fun x hx _ => hx)]
exact setIntegral_condexpL1 hf hs
#align measure_theory.set_integral_condexp MeasureTheory.setIntegral_condexp
@[deprecated (since := "2024-04-17")] alias set_integral_condexp := setIntegral_condexp
theorem integral_condexp (hm : m ≤ m0) [hμm : SigmaFinite (μ.trim hm)] (hf : Integrable f μ) :
∫ x, (μ[f|m]) x ∂μ = ∫ x, f x ∂μ := by
suffices ∫ x in Set.univ, (μ[f|m]) x ∂μ = ∫ x in Set.univ, f x ∂μ by
simp_rw [integral_univ] at this; exact this
exact setIntegral_condexp hm hf (@MeasurableSet.univ _ m)
#align measure_theory.integral_condexp MeasureTheory.integral_condexp
theorem ae_eq_condexp_of_forall_setIntegral_eq (hm : m ≤ m0) [SigmaFinite (μ.trim hm)]
{f g : α → F'} (hf : Integrable f μ)
(hg_int_finite : ∀ s, MeasurableSet[m] s → μ s < ∞ → IntegrableOn g s μ)
(hg_eq : ∀ s : Set α, MeasurableSet[m] s → μ s < ∞ → ∫ x in s, g x ∂μ = ∫ x in s, f x ∂μ)
(hgm : AEStronglyMeasurable' m g μ) : g =ᵐ[μ] μ[f|m] := by
refine ae_eq_of_forall_setIntegral_eq_of_sigmaFinite' hm hg_int_finite
(fun s _ _ => integrable_condexp.integrableOn) (fun s hs hμs => ?_) hgm
(StronglyMeasurable.aeStronglyMeasurable' stronglyMeasurable_condexp)
rw [hg_eq s hs hμs, setIntegral_condexp hm hf hs]
#align measure_theory.ae_eq_condexp_of_forall_set_integral_eq MeasureTheory.ae_eq_condexp_of_forall_setIntegral_eq
@[deprecated (since := "2024-04-17")]
alias ae_eq_condexp_of_forall_set_integral_eq := ae_eq_condexp_of_forall_setIntegral_eq
theorem condexp_bot' [hμ : NeZero μ] (f : α → F') :
μ[f|⊥] = fun _ => (μ Set.univ).toReal⁻¹ • ∫ x, f x ∂μ := by
by_cases hμ_finite : IsFiniteMeasure μ
swap
· have h : ¬SigmaFinite (μ.trim bot_le) := by rwa [sigmaFinite_trim_bot_iff]
rw [not_isFiniteMeasure_iff] at hμ_finite
rw [condexp_of_not_sigmaFinite bot_le h]
simp only [hμ_finite, ENNReal.top_toReal, inv_zero, zero_smul]
rfl
by_cases hf : Integrable f μ
swap; · rw [integral_undef hf, smul_zero, condexp_undef hf]; rfl
have h_meas : StronglyMeasurable[⊥] (μ[f|⊥]) := stronglyMeasurable_condexp
obtain ⟨c, h_eq⟩ := stronglyMeasurable_bot_iff.mp h_meas
rw [h_eq]
have h_integral : ∫ x, (μ[f|⊥]) x ∂μ = ∫ x, f x ∂μ := integral_condexp bot_le hf
simp_rw [h_eq, integral_const] at h_integral
rw [← h_integral, ← smul_assoc, smul_eq_mul, inv_mul_cancel, one_smul]
rw [Ne, ENNReal.toReal_eq_zero_iff, not_or]
exact ⟨NeZero.ne _, measure_ne_top μ Set.univ⟩
#align measure_theory.condexp_bot' MeasureTheory.condexp_bot'
theorem condexp_bot_ae_eq (f : α → F') :
μ[f|⊥] =ᵐ[μ] fun _ => (μ Set.univ).toReal⁻¹ • ∫ x, f x ∂μ := by
rcases eq_zero_or_neZero μ with rfl | hμ
· rw [ae_zero]; exact eventually_bot
· exact eventually_of_forall <| congr_fun (condexp_bot' f)
#align measure_theory.condexp_bot_ae_eq MeasureTheory.condexp_bot_ae_eq
theorem condexp_bot [IsProbabilityMeasure μ] (f : α → F') : μ[f|⊥] = fun _ => ∫ x, f x ∂μ := by
refine (condexp_bot' f).trans ?_; rw [measure_univ, ENNReal.one_toReal, inv_one, one_smul]
#align measure_theory.condexp_bot MeasureTheory.condexp_bot
theorem condexp_add (hf : Integrable f μ) (hg : Integrable g μ) :
μ[f + g|m] =ᵐ[μ] μ[f|m] + μ[g|m] := by
by_cases hm : m ≤ m0
swap; · simp_rw [condexp_of_not_le hm]; simp
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · simp_rw [condexp_of_not_sigmaFinite hm hμm]; simp
haveI : SigmaFinite (μ.trim hm) := hμm
refine (condexp_ae_eq_condexpL1 hm _).trans ?_
rw [condexpL1_add hf hg]
exact (coeFn_add _ _).trans
((condexp_ae_eq_condexpL1 hm _).symm.add (condexp_ae_eq_condexpL1 hm _).symm)
#align measure_theory.condexp_add MeasureTheory.condexp_add
theorem condexp_finset_sum {ι : Type*} {s : Finset ι} {f : ι → α → F'}
(hf : ∀ i ∈ s, Integrable (f i) μ) : μ[∑ i ∈ s, f i|m] =ᵐ[μ] ∑ i ∈ s, μ[f i|m] := by
induction' s using Finset.induction_on with i s his heq hf
· rw [Finset.sum_empty, Finset.sum_empty, condexp_zero]
· rw [Finset.sum_insert his, Finset.sum_insert his]
exact (condexp_add (hf i <| Finset.mem_insert_self i s) <|
integrable_finset_sum' _ fun j hmem => hf j <| Finset.mem_insert_of_mem hmem).trans
((EventuallyEq.refl _ _).add (heq fun j hmem => hf j <| Finset.mem_insert_of_mem hmem))
#align measure_theory.condexp_finset_sum MeasureTheory.condexp_finset_sum
theorem condexp_smul (c : 𝕜) (f : α → F') : μ[c • f|m] =ᵐ[μ] c • μ[f|m] := by
by_cases hm : m ≤ m0
swap; · simp_rw [condexp_of_not_le hm]; simp
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · simp_rw [condexp_of_not_sigmaFinite hm hμm]; simp
haveI : SigmaFinite (μ.trim hm) := hμm
refine (condexp_ae_eq_condexpL1 hm _).trans ?_
rw [condexpL1_smul c f]
refine (@condexp_ae_eq_condexpL1 _ _ _ _ _ m _ _ hm _ f).mp ?_
refine (coeFn_smul c (condexpL1 hm μ f)).mono fun x hx1 hx2 => ?_
simp only [hx1, hx2, Pi.smul_apply]
#align measure_theory.condexp_smul MeasureTheory.condexp_smul
theorem condexp_neg (f : α → F') : μ[-f|m] =ᵐ[μ] -μ[f|m] := by
letI : Module ℝ (α → F') := @Pi.module α (fun _ => F') ℝ _ _ fun _ => inferInstance
calc
μ[-f|m] = μ[(-1 : ℝ) • f|m] := by rw [neg_one_smul ℝ f]
_ =ᵐ[μ] (-1 : ℝ) • μ[f|m] := condexp_smul (-1) f
_ = -μ[f|m] := neg_one_smul ℝ (μ[f|m])
#align measure_theory.condexp_neg MeasureTheory.condexp_neg
theorem condexp_sub (hf : Integrable f μ) (hg : Integrable g μ) :
μ[f - g|m] =ᵐ[μ] μ[f|m] - μ[g|m] := by
simp_rw [sub_eq_add_neg]
exact (condexp_add hf hg.neg).trans (EventuallyEq.rfl.add (condexp_neg g))
#align measure_theory.condexp_sub MeasureTheory.condexp_sub
theorem condexp_condexp_of_le {m₁ m₂ m0 : MeasurableSpace α} {μ : Measure α} (hm₁₂ : m₁ ≤ m₂)
(hm₂ : m₂ ≤ m0) [SigmaFinite (μ.trim hm₂)] : μ[μ[f|m₂]|m₁] =ᵐ[μ] μ[f|m₁] := by
by_cases hμm₁ : SigmaFinite (μ.trim (hm₁₂.trans hm₂))
swap; · simp_rw [condexp_of_not_sigmaFinite (hm₁₂.trans hm₂) hμm₁]; rfl
haveI : SigmaFinite (μ.trim (hm₁₂.trans hm₂)) := hμm₁
by_cases hf : Integrable f μ
swap; · simp_rw [condexp_undef hf, condexp_zero]; rfl
refine ae_eq_of_forall_setIntegral_eq_of_sigmaFinite' (hm₁₂.trans hm₂)
(fun s _ _ => integrable_condexp.integrableOn)
(fun s _ _ => integrable_condexp.integrableOn) ?_
(StronglyMeasurable.aeStronglyMeasurable' stronglyMeasurable_condexp)
(StronglyMeasurable.aeStronglyMeasurable' stronglyMeasurable_condexp)
intro s hs _
rw [setIntegral_condexp (hm₁₂.trans hm₂) integrable_condexp hs]
rw [setIntegral_condexp (hm₁₂.trans hm₂) hf hs, setIntegral_condexp hm₂ hf (hm₁₂ s hs)]
#align measure_theory.condexp_condexp_of_le MeasureTheory.condexp_condexp_of_le
theorem condexp_mono {E} [NormedLatticeAddCommGroup E] [CompleteSpace E] [NormedSpace ℝ E]
[OrderedSMul ℝ E] {f g : α → E} (hf : Integrable f μ) (hg : Integrable g μ) (hfg : f ≤ᵐ[μ] g) :
μ[f|m] ≤ᵐ[μ] μ[g|m] := by
by_cases hm : m ≤ m0
swap; · simp_rw [condexp_of_not_le hm]; rfl
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · simp_rw [condexp_of_not_sigmaFinite hm hμm]; rfl
haveI : SigmaFinite (μ.trim hm) := hμm
exact (condexp_ae_eq_condexpL1 hm _).trans_le
((condexpL1_mono hf hg hfg).trans_eq (condexp_ae_eq_condexpL1 hm _).symm)
#align measure_theory.condexp_mono MeasureTheory.condexp_mono
theorem condexp_nonneg {E} [NormedLatticeAddCommGroup E] [CompleteSpace E] [NormedSpace ℝ E]
[OrderedSMul ℝ E] {f : α → E} (hf : 0 ≤ᵐ[μ] f) : 0 ≤ᵐ[μ] μ[f|m] := by
by_cases hfint : Integrable f μ
· rw [(condexp_zero.symm : (0 : α → E) = μ[0|m])]
exact condexp_mono (integrable_zero _ _ _) hfint hf
· rw [condexp_undef hfint]
#align measure_theory.condexp_nonneg MeasureTheory.condexp_nonneg
theorem condexp_nonpos {E} [NormedLatticeAddCommGroup E] [CompleteSpace E] [NormedSpace ℝ E]
[OrderedSMul ℝ E] {f : α → E} (hf : f ≤ᵐ[μ] 0) : μ[f|m] ≤ᵐ[μ] 0 := by
by_cases hfint : Integrable f μ
· rw [(condexp_zero.symm : (0 : α → E) = μ[0|m])]
exact condexp_mono hfint (integrable_zero _ _ _) hf
· rw [condexp_undef hfint]
#align measure_theory.condexp_nonpos MeasureTheory.condexp_nonpos
theorem tendsto_condexpL1_of_dominated_convergence (hm : m ≤ m0) [SigmaFinite (μ.trim hm)]
{fs : ℕ → α → F'} {f : α → F'} (bound_fs : α → ℝ)
(hfs_meas : ∀ n, AEStronglyMeasurable (fs n) μ) (h_int_bound_fs : Integrable bound_fs μ)
(hfs_bound : ∀ n, ∀ᵐ x ∂μ, ‖fs n x‖ ≤ bound_fs x)
(hfs : ∀ᵐ x ∂μ, Tendsto (fun n => fs n x) atTop (𝓝 (f x))) :
Tendsto (fun n => condexpL1 hm μ (fs n)) atTop (𝓝 (condexpL1 hm μ f)) :=
tendsto_setToFun_of_dominated_convergence _ bound_fs hfs_meas h_int_bound_fs hfs_bound hfs
set_option linter.uppercaseLean3 false in
#align measure_theory.tendsto_condexp_L1_of_dominated_convergence MeasureTheory.tendsto_condexpL1_of_dominated_convergence
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Basic.lean | 396 | 420 | theorem tendsto_condexp_unique (fs gs : ℕ → α → F') (f g : α → F')
(hfs_int : ∀ n, Integrable (fs n) μ) (hgs_int : ∀ n, Integrable (gs n) μ)
(hfs : ∀ᵐ x ∂μ, Tendsto (fun n => fs n x) atTop (𝓝 (f x)))
(hgs : ∀ᵐ x ∂μ, Tendsto (fun n => gs n x) atTop (𝓝 (g x))) (bound_fs : α → ℝ)
(h_int_bound_fs : Integrable bound_fs μ) (bound_gs : α → ℝ)
(h_int_bound_gs : Integrable bound_gs μ) (hfs_bound : ∀ n, ∀ᵐ x ∂μ, ‖fs n x‖ ≤ bound_fs x)
(hgs_bound : ∀ n, ∀ᵐ x ∂μ, ‖gs n x‖ ≤ bound_gs x) (hfg : ∀ n, μ[fs n|m] =ᵐ[μ] μ[gs n|m]) :
μ[f|m] =ᵐ[μ] μ[g|m] := by |
by_cases hm : m ≤ m0; swap; · simp_rw [condexp_of_not_le hm]; rfl
by_cases hμm : SigmaFinite (μ.trim hm); swap; · simp_rw [condexp_of_not_sigmaFinite hm hμm]; rfl
haveI : SigmaFinite (μ.trim hm) := hμm
refine (condexp_ae_eq_condexpL1 hm f).trans ((condexp_ae_eq_condexpL1 hm g).trans ?_).symm
rw [← Lp.ext_iff]
have hn_eq : ∀ n, condexpL1 hm μ (gs n) = condexpL1 hm μ (fs n) := by
intro n
ext1
refine (condexp_ae_eq_condexpL1 hm (gs n)).symm.trans ((hfg n).symm.trans ?_)
exact condexp_ae_eq_condexpL1 hm (fs n)
have hcond_fs : Tendsto (fun n => condexpL1 hm μ (fs n)) atTop (𝓝 (condexpL1 hm μ f)) :=
tendsto_condexpL1_of_dominated_convergence hm _ (fun n => (hfs_int n).1) h_int_bound_fs
hfs_bound hfs
have hcond_gs : Tendsto (fun n => condexpL1 hm μ (gs n)) atTop (𝓝 (condexpL1 hm μ g)) :=
tendsto_condexpL1_of_dominated_convergence hm _ (fun n => (hgs_int n).1) h_int_bound_gs
hgs_bound hgs
exact tendsto_nhds_unique_of_eventuallyEq hcond_gs hcond_fs (eventually_of_forall hn_eq)
|
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Zip
import Mathlib.Data.Nat.Defs
import Mathlib.Data.List.Infix
#align_import data.list.rotate from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
universe u
variable {α : Type u}
open Nat Function
namespace List
theorem rotate_mod (l : List α) (n : ℕ) : l.rotate (n % l.length) = l.rotate n := by simp [rotate]
#align list.rotate_mod List.rotate_mod
@[simp]
theorem rotate_nil (n : ℕ) : ([] : List α).rotate n = [] := by simp [rotate]
#align list.rotate_nil List.rotate_nil
@[simp]
theorem rotate_zero (l : List α) : l.rotate 0 = l := by simp [rotate]
#align list.rotate_zero List.rotate_zero
-- Porting note: removing simp, simp can prove it
theorem rotate'_nil (n : ℕ) : ([] : List α).rotate' n = [] := by cases n <;> rfl
#align list.rotate'_nil List.rotate'_nil
@[simp]
theorem rotate'_zero (l : List α) : l.rotate' 0 = l := by cases l <;> rfl
#align list.rotate'_zero List.rotate'_zero
theorem rotate'_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate' n.succ = (l ++ [a]).rotate' n := by simp [rotate']
#align list.rotate'_cons_succ List.rotate'_cons_succ
@[simp]
theorem length_rotate' : ∀ (l : List α) (n : ℕ), (l.rotate' n).length = l.length
| [], _ => by simp
| a :: l, 0 => rfl
| a :: l, n + 1 => by rw [List.rotate', length_rotate' (l ++ [a]) n]; simp
#align list.length_rotate' List.length_rotate'
theorem rotate'_eq_drop_append_take :
∀ {l : List α} {n : ℕ}, n ≤ l.length → l.rotate' n = l.drop n ++ l.take n
| [], n, h => by simp [drop_append_of_le_length h]
| l, 0, h => by simp [take_append_of_le_length h]
| a :: l, n + 1, h => by
have hnl : n ≤ l.length := le_of_succ_le_succ h
have hnl' : n ≤ (l ++ [a]).length := by
rw [length_append, length_cons, List.length]; exact le_of_succ_le h
rw [rotate'_cons_succ, rotate'_eq_drop_append_take hnl', drop, take,
drop_append_of_le_length hnl, take_append_of_le_length hnl]; simp
#align list.rotate'_eq_drop_append_take List.rotate'_eq_drop_append_take
theorem rotate'_rotate' : ∀ (l : List α) (n m : ℕ), (l.rotate' n).rotate' m = l.rotate' (n + m)
| a :: l, 0, m => by simp
| [], n, m => by simp
| a :: l, n + 1, m => by
rw [rotate'_cons_succ, rotate'_rotate' _ n, Nat.add_right_comm, ← rotate'_cons_succ,
Nat.succ_eq_add_one]
#align list.rotate'_rotate' List.rotate'_rotate'
@[simp]
theorem rotate'_length (l : List α) : rotate' l l.length = l := by
rw [rotate'_eq_drop_append_take le_rfl]; simp
#align list.rotate'_length List.rotate'_length
@[simp]
theorem rotate'_length_mul (l : List α) : ∀ n : ℕ, l.rotate' (l.length * n) = l
| 0 => by simp
| n + 1 =>
calc
l.rotate' (l.length * (n + 1)) =
(l.rotate' (l.length * n)).rotate' (l.rotate' (l.length * n)).length := by
simp [-rotate'_length, Nat.mul_succ, rotate'_rotate']
_ = l := by rw [rotate'_length, rotate'_length_mul l n]
#align list.rotate'_length_mul List.rotate'_length_mul
theorem rotate'_mod (l : List α) (n : ℕ) : l.rotate' (n % l.length) = l.rotate' n :=
calc
l.rotate' (n % l.length) =
(l.rotate' (n % l.length)).rotate' ((l.rotate' (n % l.length)).length * (n / l.length)) :=
by rw [rotate'_length_mul]
_ = l.rotate' n := by rw [rotate'_rotate', length_rotate', Nat.mod_add_div]
#align list.rotate'_mod List.rotate'_mod
theorem rotate_eq_rotate' (l : List α) (n : ℕ) : l.rotate n = l.rotate' n :=
if h : l.length = 0 then by simp_all [length_eq_zero]
else by
rw [← rotate'_mod,
rotate'_eq_drop_append_take (le_of_lt (Nat.mod_lt _ (Nat.pos_of_ne_zero h)))];
simp [rotate]
#align list.rotate_eq_rotate' List.rotate_eq_rotate'
theorem rotate_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate (n + 1) = (l ++ [a]).rotate n := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate'_cons_succ]
#align list.rotate_cons_succ List.rotate_cons_succ
@[simp]
theorem mem_rotate : ∀ {l : List α} {a : α} {n : ℕ}, a ∈ l.rotate n ↔ a ∈ l
| [], _, n => by simp
| a :: l, _, 0 => by simp
| a :: l, _, n + 1 => by simp [rotate_cons_succ, mem_rotate, or_comm]
#align list.mem_rotate List.mem_rotate
@[simp]
theorem length_rotate (l : List α) (n : ℕ) : (l.rotate n).length = l.length := by
rw [rotate_eq_rotate', length_rotate']
#align list.length_rotate List.length_rotate
@[simp]
theorem rotate_replicate (a : α) (n : ℕ) (k : ℕ) : (replicate n a).rotate k = replicate n a :=
eq_replicate.2 ⟨by rw [length_rotate, length_replicate], fun b hb =>
eq_of_mem_replicate <| mem_rotate.1 hb⟩
#align list.rotate_replicate List.rotate_replicate
theorem rotate_eq_drop_append_take {l : List α} {n : ℕ} :
n ≤ l.length → l.rotate n = l.drop n ++ l.take n := by
rw [rotate_eq_rotate']; exact rotate'_eq_drop_append_take
#align list.rotate_eq_drop_append_take List.rotate_eq_drop_append_take
theorem rotate_eq_drop_append_take_mod {l : List α} {n : ℕ} :
l.rotate n = l.drop (n % l.length) ++ l.take (n % l.length) := by
rcases l.length.zero_le.eq_or_lt with hl | hl
· simp [eq_nil_of_length_eq_zero hl.symm]
rw [← rotate_eq_drop_append_take (n.mod_lt hl).le, rotate_mod]
#align list.rotate_eq_drop_append_take_mod List.rotate_eq_drop_append_take_mod
@[simp]
theorem rotate_append_length_eq (l l' : List α) : (l ++ l').rotate l.length = l' ++ l := by
rw [rotate_eq_rotate']
induction l generalizing l'
· simp
· simp_all [rotate']
#align list.rotate_append_length_eq List.rotate_append_length_eq
theorem rotate_rotate (l : List α) (n m : ℕ) : (l.rotate n).rotate m = l.rotate (n + m) := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate_eq_rotate', rotate'_rotate']
#align list.rotate_rotate List.rotate_rotate
@[simp]
theorem rotate_length (l : List α) : rotate l l.length = l := by
rw [rotate_eq_rotate', rotate'_length]
#align list.rotate_length List.rotate_length
@[simp]
theorem rotate_length_mul (l : List α) (n : ℕ) : l.rotate (l.length * n) = l := by
rw [rotate_eq_rotate', rotate'_length_mul]
#align list.rotate_length_mul List.rotate_length_mul
theorem rotate_perm (l : List α) (n : ℕ) : l.rotate n ~ l := by
rw [rotate_eq_rotate']
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· rw [rotate'_cons_succ]
exact (hn _).trans (perm_append_singleton _ _)
#align list.rotate_perm List.rotate_perm
@[simp]
theorem nodup_rotate {l : List α} {n : ℕ} : Nodup (l.rotate n) ↔ Nodup l :=
(rotate_perm l n).nodup_iff
#align list.nodup_rotate List.nodup_rotate
@[simp]
theorem rotate_eq_nil_iff {l : List α} {n : ℕ} : l.rotate n = [] ↔ l = [] := by
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· simp [rotate_cons_succ, hn]
#align list.rotate_eq_nil_iff List.rotate_eq_nil_iff
@[simp]
theorem nil_eq_rotate_iff {l : List α} {n : ℕ} : [] = l.rotate n ↔ [] = l := by
rw [eq_comm, rotate_eq_nil_iff, eq_comm]
#align list.nil_eq_rotate_iff List.nil_eq_rotate_iff
@[simp]
theorem rotate_singleton (x : α) (n : ℕ) : [x].rotate n = [x] :=
rotate_replicate x 1 n
#align list.rotate_singleton List.rotate_singleton
theorem zipWith_rotate_distrib {β γ : Type*} (f : α → β → γ) (l : List α) (l' : List β) (n : ℕ)
(h : l.length = l'.length) :
(zipWith f l l').rotate n = zipWith f (l.rotate n) (l'.rotate n) := by
rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod,
rotate_eq_drop_append_take_mod, h, zipWith_append, ← zipWith_distrib_drop, ←
zipWith_distrib_take, List.length_zipWith, h, min_self]
rw [length_drop, length_drop, h]
#align list.zip_with_rotate_distrib List.zipWith_rotate_distrib
attribute [local simp] rotate_cons_succ
-- Porting note: removing @[simp], simp can prove it
theorem zipWith_rotate_one {β : Type*} (f : α → α → β) (x y : α) (l : List α) :
zipWith f (x :: y :: l) ((x :: y :: l).rotate 1) = f x y :: zipWith f (y :: l) (l ++ [x]) := by
simp
#align list.zip_with_rotate_one List.zipWith_rotate_one
theorem get?_rotate {l : List α} {n m : ℕ} (hml : m < l.length) :
(l.rotate n).get? m = l.get? ((m + n) % l.length) := by
rw [rotate_eq_drop_append_take_mod]
rcases lt_or_le m (l.drop (n % l.length)).length with hm | hm
· rw [get?_append hm, get?_drop, ← add_mod_mod]
rw [length_drop, Nat.lt_sub_iff_add_lt] at hm
rw [mod_eq_of_lt hm, Nat.add_comm]
· have hlt : n % length l < length l := mod_lt _ (m.zero_le.trans_lt hml)
rw [get?_append_right hm, get?_take, length_drop]
· congr 1
rw [length_drop] at hm
have hm' := Nat.sub_le_iff_le_add'.1 hm
have : n % length l + m - length l < length l := by
rw [Nat.sub_lt_iff_lt_add' hm']
exact Nat.add_lt_add hlt hml
conv_rhs => rw [Nat.add_comm m, ← mod_add_mod, mod_eq_sub_mod hm', mod_eq_of_lt this]
rw [← Nat.add_right_inj, ← Nat.add_sub_assoc, Nat.add_sub_sub_cancel, Nat.add_sub_cancel',
Nat.add_comm]
exacts [hm', hlt.le, hm]
· rwa [Nat.sub_lt_iff_lt_add hm, length_drop, Nat.sub_add_cancel hlt.le]
#align list.nth_rotate List.get?_rotate
-- Porting note (#10756): new lemma
theorem get_rotate (l : List α) (n : ℕ) (k : Fin (l.rotate n).length) :
(l.rotate n).get k =
l.get ⟨(k + n) % l.length, mod_lt _ (length_rotate l n ▸ k.1.zero_le.trans_lt k.2)⟩ := by
rw [← Option.some_inj, ← get?_eq_get, ← get?_eq_get, get?_rotate]
exact k.2.trans_eq (length_rotate _ _)
theorem head?_rotate {l : List α} {n : ℕ} (h : n < l.length) : head? (l.rotate n) = l.get? n := by
rw [← get?_zero, get?_rotate (n.zero_le.trans_lt h), Nat.zero_add, Nat.mod_eq_of_lt h]
#align list.head'_rotate List.head?_rotate
-- Porting note: moved down from its original location below `get_rotate` so that the
-- non-deprecated lemma does not use the deprecated version
set_option linter.deprecated false in
@[deprecated get_rotate (since := "2023-01-13")]
theorem nthLe_rotate (l : List α) (n k : ℕ) (hk : k < (l.rotate n).length) :
(l.rotate n).nthLe k hk =
l.nthLe ((k + n) % l.length) (mod_lt _ (length_rotate l n ▸ k.zero_le.trans_lt hk)) :=
get_rotate l n ⟨k, hk⟩
#align list.nth_le_rotate List.nthLe_rotate
set_option linter.deprecated false in
theorem nthLe_rotate_one (l : List α) (k : ℕ) (hk : k < (l.rotate 1).length) :
(l.rotate 1).nthLe k hk =
l.nthLe ((k + 1) % l.length) (mod_lt _ (length_rotate l 1 ▸ k.zero_le.trans_lt hk)) :=
nthLe_rotate l 1 k hk
#align list.nth_le_rotate_one List.nthLe_rotate_one
-- Porting note (#10756): new lemma
theorem get_eq_get_rotate (l : List α) (n : ℕ) (k : Fin l.length) :
l.get k = (l.rotate n).get ⟨(l.length - n % l.length + k) % l.length,
(Nat.mod_lt _ (k.1.zero_le.trans_lt k.2)).trans_eq (length_rotate _ _).symm⟩ := by
rw [get_rotate]
refine congr_arg l.get (Fin.eq_of_val_eq ?_)
simp only [mod_add_mod]
rw [← add_mod_mod, Nat.add_right_comm, Nat.sub_add_cancel, add_mod_left, mod_eq_of_lt]
exacts [k.2, (mod_lt _ (k.1.zero_le.trans_lt k.2)).le]
set_option linter.deprecated false in
@[deprecated get_eq_get_rotate]
theorem nthLe_rotate' (l : List α) (n k : ℕ) (hk : k < l.length) :
(l.rotate n).nthLe ((l.length - n % l.length + k) % l.length)
((Nat.mod_lt _ (k.zero_le.trans_lt hk)).trans_le (length_rotate _ _).ge) =
l.nthLe k hk :=
(get_eq_get_rotate l n ⟨k, hk⟩).symm
#align list.nth_le_rotate' List.nthLe_rotate'
theorem rotate_eq_self_iff_eq_replicate [hα : Nonempty α] :
∀ {l : List α}, (∀ n, l.rotate n = l) ↔ ∃ a, l = replicate l.length a
| [] => by simp
| a :: l => ⟨fun h => ⟨a, ext_get (length_replicate _ _).symm fun n h₁ h₂ => by
rw [get_replicate, ← Option.some_inj, ← get?_eq_get, ← head?_rotate h₁, h, head?_cons]⟩,
fun ⟨b, hb⟩ n => by rw [hb, rotate_replicate]⟩
#align list.rotate_eq_self_iff_eq_replicate List.rotate_eq_self_iff_eq_replicate
theorem rotate_one_eq_self_iff_eq_replicate [Nonempty α] {l : List α} :
l.rotate 1 = l ↔ ∃ a : α, l = List.replicate l.length a :=
⟨fun h =>
rotate_eq_self_iff_eq_replicate.mp fun n =>
Nat.rec l.rotate_zero (fun n hn => by rwa [Nat.succ_eq_add_one, ← l.rotate_rotate, hn]) n,
fun h => rotate_eq_self_iff_eq_replicate.mpr h 1⟩
#align list.rotate_one_eq_self_iff_eq_replicate List.rotate_one_eq_self_iff_eq_replicate
theorem rotate_injective (n : ℕ) : Function.Injective fun l : List α => l.rotate n := by
rintro l l' (h : l.rotate n = l'.rotate n)
have hle : l.length = l'.length := (l.length_rotate n).symm.trans (h.symm ▸ l'.length_rotate n)
rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod] at h
obtain ⟨hd, ht⟩ := append_inj h (by simp_all)
rw [← take_append_drop _ l, ht, hd, take_append_drop]
#align list.rotate_injective List.rotate_injective
@[simp]
theorem rotate_eq_rotate {l l' : List α} {n : ℕ} : l.rotate n = l'.rotate n ↔ l = l' :=
(rotate_injective n).eq_iff
#align list.rotate_eq_rotate List.rotate_eq_rotate
theorem rotate_eq_iff {l l' : List α} {n : ℕ} :
l.rotate n = l' ↔ l = l'.rotate (l'.length - n % l'.length) := by
rw [← @rotate_eq_rotate _ l _ n, rotate_rotate, ← rotate_mod l', add_mod]
rcases l'.length.zero_le.eq_or_lt with hl | hl
· rw [eq_nil_of_length_eq_zero hl.symm, rotate_nil]
· rcases (Nat.zero_le (n % l'.length)).eq_or_lt with hn | hn
· simp [← hn]
· rw [mod_eq_of_lt (Nat.sub_lt hl hn), Nat.sub_add_cancel, mod_self, rotate_zero]
exact (Nat.mod_lt _ hl).le
#align list.rotate_eq_iff List.rotate_eq_iff
@[simp]
theorem rotate_eq_singleton_iff {l : List α} {n : ℕ} {x : α} : l.rotate n = [x] ↔ l = [x] := by
rw [rotate_eq_iff, rotate_singleton]
#align list.rotate_eq_singleton_iff List.rotate_eq_singleton_iff
@[simp]
theorem singleton_eq_rotate_iff {l : List α} {n : ℕ} {x : α} : [x] = l.rotate n ↔ [x] = l := by
rw [eq_comm, rotate_eq_singleton_iff, eq_comm]
#align list.singleton_eq_rotate_iff List.singleton_eq_rotate_iff
theorem reverse_rotate (l : List α) (n : ℕ) :
(l.rotate n).reverse = l.reverse.rotate (l.length - n % l.length) := by
rw [← length_reverse l, ← rotate_eq_iff]
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· rw [rotate_cons_succ, ← rotate_rotate, hn]
simp
#align list.reverse_rotate List.reverse_rotate
theorem rotate_reverse (l : List α) (n : ℕ) :
l.reverse.rotate n = (l.rotate (l.length - n % l.length)).reverse := by
rw [← reverse_reverse l]
simp_rw [reverse_rotate, reverse_reverse, rotate_eq_iff, rotate_rotate, length_rotate,
length_reverse]
rw [← length_reverse l]
let k := n % l.reverse.length
cases' hk' : k with k'
· simp_all! [k, length_reverse, ← rotate_rotate]
· cases' l with x l
· simp
· rw [Nat.mod_eq_of_lt, Nat.sub_add_cancel, rotate_length]
· exact Nat.sub_le _ _
· exact Nat.sub_lt (by simp) (by simp_all! [k])
#align list.rotate_reverse List.rotate_reverse
theorem map_rotate {β : Type*} (f : α → β) (l : List α) (n : ℕ) :
map f (l.rotate n) = (map f l).rotate n := by
induction' n with n hn IH generalizing l
· simp
· cases' l with hd tl
· simp
· simp [hn]
#align list.map_rotate List.map_rotate
theorem Nodup.rotate_congr {l : List α} (hl : l.Nodup) (hn : l ≠ []) (i j : ℕ)
(h : l.rotate i = l.rotate j) : i % l.length = j % l.length := by
rw [← rotate_mod l i, ← rotate_mod l j] at h
simpa only [head?_rotate, mod_lt, length_pos_of_ne_nil hn, get?_eq_get, Option.some_inj,
hl.get_inj_iff, Fin.ext_iff] using congr_arg head? h
#align list.nodup.rotate_congr List.Nodup.rotate_congr
theorem Nodup.rotate_congr_iff {l : List α} (hl : l.Nodup) {i j : ℕ} :
l.rotate i = l.rotate j ↔ i % l.length = j % l.length ∨ l = [] := by
rcases eq_or_ne l [] with rfl | hn
· simp
· simp only [hn, or_false]
refine ⟨hl.rotate_congr hn _ _, fun h ↦ ?_⟩
rw [← rotate_mod, h, rotate_mod]
theorem Nodup.rotate_eq_self_iff {l : List α} (hl : l.Nodup) {n : ℕ} :
l.rotate n = l ↔ n % l.length = 0 ∨ l = [] := by
rw [← zero_mod, ← hl.rotate_congr_iff, rotate_zero]
#align list.nodup.rotate_eq_self_iff List.Nodup.rotate_eq_self_iff
section IsRotated
variable (l l' : List α)
def IsRotated : Prop :=
∃ n, l.rotate n = l'
#align list.is_rotated List.IsRotated
@[inherit_doc List.IsRotated]
infixr:1000 " ~r " => IsRotated
variable {l l'}
@[refl]
theorem IsRotated.refl (l : List α) : l ~r l :=
⟨0, by simp⟩
#align list.is_rotated.refl List.IsRotated.refl
@[symm]
theorem IsRotated.symm (h : l ~r l') : l' ~r l := by
obtain ⟨n, rfl⟩ := h
cases' l with hd tl
· exists 0
· use (hd :: tl).length * n - n
rw [rotate_rotate, Nat.add_sub_cancel', rotate_length_mul]
exact Nat.le_mul_of_pos_left _ (by simp)
#align list.is_rotated.symm List.IsRotated.symm
theorem isRotated_comm : l ~r l' ↔ l' ~r l :=
⟨IsRotated.symm, IsRotated.symm⟩
#align list.is_rotated_comm List.isRotated_comm
@[simp]
protected theorem IsRotated.forall (l : List α) (n : ℕ) : l.rotate n ~r l :=
IsRotated.symm ⟨n, rfl⟩
#align list.is_rotated.forall List.IsRotated.forall
@[trans]
theorem IsRotated.trans : ∀ {l l' l'' : List α}, l ~r l' → l' ~r l'' → l ~r l''
| _, _, _, ⟨n, rfl⟩, ⟨m, rfl⟩ => ⟨n + m, by rw [rotate_rotate]⟩
#align list.is_rotated.trans List.IsRotated.trans
theorem IsRotated.eqv : Equivalence (@IsRotated α) :=
Equivalence.mk IsRotated.refl IsRotated.symm IsRotated.trans
#align list.is_rotated.eqv List.IsRotated.eqv
def IsRotated.setoid (α : Type*) : Setoid (List α) where
r := IsRotated
iseqv := IsRotated.eqv
#align list.is_rotated.setoid List.IsRotated.setoid
theorem IsRotated.perm (h : l ~r l') : l ~ l' :=
Exists.elim h fun _ hl => hl ▸ (rotate_perm _ _).symm
#align list.is_rotated.perm List.IsRotated.perm
theorem IsRotated.nodup_iff (h : l ~r l') : Nodup l ↔ Nodup l' :=
h.perm.nodup_iff
#align list.is_rotated.nodup_iff List.IsRotated.nodup_iff
theorem IsRotated.mem_iff (h : l ~r l') {a : α} : a ∈ l ↔ a ∈ l' :=
h.perm.mem_iff
#align list.is_rotated.mem_iff List.IsRotated.mem_iff
@[simp]
theorem isRotated_nil_iff : l ~r [] ↔ l = [] :=
⟨fun ⟨n, hn⟩ => by simpa using hn, fun h => h ▸ by rfl⟩
#align list.is_rotated_nil_iff List.isRotated_nil_iff
@[simp]
theorem isRotated_nil_iff' : [] ~r l ↔ [] = l := by
rw [isRotated_comm, isRotated_nil_iff, eq_comm]
#align list.is_rotated_nil_iff' List.isRotated_nil_iff'
@[simp]
theorem isRotated_singleton_iff {x : α} : l ~r [x] ↔ l = [x] :=
⟨fun ⟨n, hn⟩ => by simpa using hn, fun h => h ▸ by rfl⟩
#align list.is_rotated_singleton_iff List.isRotated_singleton_iff
@[simp]
theorem isRotated_singleton_iff' {x : α} : [x] ~r l ↔ [x] = l := by
rw [isRotated_comm, isRotated_singleton_iff, eq_comm]
#align list.is_rotated_singleton_iff' List.isRotated_singleton_iff'
theorem isRotated_concat (hd : α) (tl : List α) : (tl ++ [hd]) ~r (hd :: tl) :=
IsRotated.symm ⟨1, by simp⟩
#align list.is_rotated_concat List.isRotated_concat
theorem isRotated_append : (l ++ l') ~r (l' ++ l) :=
⟨l.length, by simp⟩
#align list.is_rotated_append List.isRotated_append
theorem IsRotated.reverse (h : l ~r l') : l.reverse ~r l'.reverse := by
obtain ⟨n, rfl⟩ := h
exact ⟨_, (reverse_rotate _ _).symm⟩
#align list.is_rotated.reverse List.IsRotated.reverse
theorem isRotated_reverse_comm_iff : l.reverse ~r l' ↔ l ~r l'.reverse := by
constructor <;>
· intro h
simpa using h.reverse
#align list.is_rotated_reverse_comm_iff List.isRotated_reverse_comm_iff
@[simp]
theorem isRotated_reverse_iff : l.reverse ~r l'.reverse ↔ l ~r l' := by
simp [isRotated_reverse_comm_iff]
#align list.is_rotated_reverse_iff List.isRotated_reverse_iff
theorem isRotated_iff_mod : l ~r l' ↔ ∃ n ≤ l.length, l.rotate n = l' := by
refine ⟨fun h => ?_, fun ⟨n, _, h⟩ => ⟨n, h⟩⟩
obtain ⟨n, rfl⟩ := h
cases' l with hd tl
· simp
· refine ⟨n % (hd :: tl).length, ?_, rotate_mod _ _⟩
refine (Nat.mod_lt _ ?_).le
simp
#align list.is_rotated_iff_mod List.isRotated_iff_mod
theorem isRotated_iff_mem_map_range : l ~r l' ↔ l' ∈ (List.range (l.length + 1)).map l.rotate := by
simp_rw [mem_map, mem_range, isRotated_iff_mod]
exact
⟨fun ⟨n, hn, h⟩ => ⟨n, Nat.lt_succ_of_le hn, h⟩,
fun ⟨n, hn, h⟩ => ⟨n, Nat.le_of_lt_succ hn, h⟩⟩
#align list.is_rotated_iff_mem_map_range List.isRotated_iff_mem_map_range
-- Porting note: @[congr] only works for equality.
-- @[congr]
theorem IsRotated.map {β : Type*} {l₁ l₂ : List α} (h : l₁ ~r l₂) (f : α → β) :
map f l₁ ~r map f l₂ := by
obtain ⟨n, rfl⟩ := h
rw [map_rotate]
use n
#align list.is_rotated.map List.IsRotated.map
def cyclicPermutations : List α → List (List α)
| [] => [[]]
| l@(_ :: _) => dropLast (zipWith (· ++ ·) (tails l) (inits l))
#align list.cyclic_permutations List.cyclicPermutations
@[simp]
theorem cyclicPermutations_nil : cyclicPermutations ([] : List α) = [[]] :=
rfl
#align list.cyclic_permutations_nil List.cyclicPermutations_nil
theorem cyclicPermutations_cons (x : α) (l : List α) :
cyclicPermutations (x :: l) = dropLast (zipWith (· ++ ·) (tails (x :: l)) (inits (x :: l))) :=
rfl
#align list.cyclic_permutations_cons List.cyclicPermutations_cons
theorem cyclicPermutations_of_ne_nil (l : List α) (h : l ≠ []) :
cyclicPermutations l = dropLast (zipWith (· ++ ·) (tails l) (inits l)) := by
obtain ⟨hd, tl, rfl⟩ := exists_cons_of_ne_nil h
exact cyclicPermutations_cons _ _
#align list.cyclic_permutations_of_ne_nil List.cyclicPermutations_of_ne_nil
theorem length_cyclicPermutations_cons (x : α) (l : List α) :
length (cyclicPermutations (x :: l)) = length l + 1 := by simp [cyclicPermutations_cons]
#align list.length_cyclic_permutations_cons List.length_cyclicPermutations_cons
@[simp]
theorem length_cyclicPermutations_of_ne_nil (l : List α) (h : l ≠ []) :
length (cyclicPermutations l) = length l := by simp [cyclicPermutations_of_ne_nil _ h]
#align list.length_cyclic_permutations_of_ne_nil List.length_cyclicPermutations_of_ne_nil
@[simp]
theorem cyclicPermutations_ne_nil : ∀ l : List α, cyclicPermutations l ≠ []
| a::l, h => by simpa using congr_arg length h
@[simp]
theorem get_cyclicPermutations (l : List α) (n : Fin (length (cyclicPermutations l))) :
(cyclicPermutations l).get n = l.rotate n := by
cases l with
| nil => simp
| cons a l =>
simp only [cyclicPermutations_cons, get_dropLast, get_zipWith, get_tails, get_inits]
rw [rotate_eq_drop_append_take (by simpa using n.2.le)]
#align list.nth_le_cyclic_permutations List.get_cyclicPermutations
@[simp]
theorem head_cyclicPermutations (l : List α) :
(cyclicPermutations l).head (cyclicPermutations_ne_nil l) = l := by
have h : 0 < length (cyclicPermutations l) := length_pos_of_ne_nil (cyclicPermutations_ne_nil _)
rw [← get_mk_zero h, get_cyclicPermutations, Fin.val_mk, rotate_zero]
@[simp]
theorem head?_cyclicPermutations (l : List α) : (cyclicPermutations l).head? = l := by
rw [head?_eq_head, head_cyclicPermutations]
theorem cyclicPermutations_injective : Function.Injective (@cyclicPermutations α) := fun l l' h ↦ by
simpa using congr_arg head? h
@[simp]
theorem cyclicPermutations_inj {l l' : List α} :
cyclicPermutations l = cyclicPermutations l' ↔ l = l' :=
cyclicPermutations_injective.eq_iff
theorem length_mem_cyclicPermutations (l : List α) (h : l' ∈ cyclicPermutations l) :
length l' = length l := by
obtain ⟨k, hk, rfl⟩ := get_of_mem h
simp
#align list.length_mem_cyclic_permutations List.length_mem_cyclicPermutations
theorem mem_cyclicPermutations_self (l : List α) : l ∈ cyclicPermutations l := by
simpa using head_mem (cyclicPermutations_ne_nil l)
#align list.mem_cyclic_permutations_self List.mem_cyclicPermutations_self
@[simp]
theorem cyclicPermutations_rotate (l : List α) (k : ℕ) :
(l.rotate k).cyclicPermutations = l.cyclicPermutations.rotate k := by
have : (l.rotate k).cyclicPermutations.length = length (l.cyclicPermutations.rotate k) := by
cases l
· simp
· rw [length_cyclicPermutations_of_ne_nil] <;> simp
refine ext_get this fun n hn hn' => ?_
rw [get_rotate, get_cyclicPermutations, rotate_rotate, ← rotate_mod, Nat.add_comm]
cases l <;> simp
#align list.cyclic_permutations_rotate List.cyclicPermutations_rotate
@[simp]
| Mathlib/Data/List/Rotate.lean | 636 | 643 | theorem mem_cyclicPermutations_iff : l ∈ cyclicPermutations l' ↔ l ~r l' := by |
constructor
· simp_rw [mem_iff_get, get_cyclicPermutations]
rintro ⟨k, rfl⟩
exact .forall _ _
· rintro ⟨k, rfl⟩
rw [cyclicPermutations_rotate, mem_rotate]
apply mem_cyclicPermutations_self
|
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
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]
#align finset.fold_image_idem Finset.fold_image_idem
theorem fold_ite' {g : α → β} (hb : op b b = b) (p : α → Prop) [DecidablePred p] :
Finset.fold op b (fun i => ite (p i) (f i) (g i)) s =
op (Finset.fold op b f (s.filter p)) (Finset.fold op b g (s.filter fun i => ¬p i)) := by
classical
induction' s using Finset.induction_on with x s hx IH
· simp [hb]
· simp only [Finset.fold_insert hx]
split_ifs with h
· have : x ∉ Finset.filter p s := by simp [hx]
simp [Finset.filter_insert, h, Finset.fold_insert this, ha.assoc, IH]
· have : x ∉ Finset.filter (fun i => ¬ p i) s := by simp [hx]
simp [Finset.filter_insert, h, Finset.fold_insert this, IH, ← ha.assoc, hc.comm]
#align finset.fold_ite' Finset.fold_ite'
theorem fold_ite [Std.IdempotentOp op] {g : α → β} (p : α → Prop) [DecidablePred p] :
Finset.fold op b (fun i => ite (p i) (f i) (g i)) s =
op (Finset.fold op b f (s.filter p)) (Finset.fold op b g (s.filter fun i => ¬p i)) :=
fold_ite' (Std.IdempotentOp.idempotent _) _
#align finset.fold_ite Finset.fold_ite
theorem fold_op_rel_iff_and {r : β → β → Prop} (hr : ∀ {x y z}, r x (op y z) ↔ r x y ∧ r x z)
{c : β} : r c (s.fold op b f) ↔ r c b ∧ ∀ x ∈ s, r c (f x) := by
classical
induction' s using Finset.induction_on with a s ha IH
· simp
rw [Finset.fold_insert ha, hr, IH, ← and_assoc, @and_comm (r c (f a)), and_assoc]
apply and_congr Iff.rfl
constructor
· rintro ⟨h₁, h₂⟩
intro b hb
rw [Finset.mem_insert] at hb
rcases hb with (rfl | hb) <;> solve_by_elim
· intro h
constructor
· exact h a (Finset.mem_insert_self _ _)
· exact fun b hb => h b <| Finset.mem_insert_of_mem hb
#align finset.fold_op_rel_iff_and Finset.fold_op_rel_iff_and
theorem fold_op_rel_iff_or {r : β → β → Prop} (hr : ∀ {x y z}, r x (op y z) ↔ r x y ∨ r x z)
{c : β} : r c (s.fold op b f) ↔ r c b ∨ ∃ x ∈ s, r c (f x) := by
classical
induction' s using Finset.induction_on with a s ha IH
· simp
rw [Finset.fold_insert ha, hr, IH, ← or_assoc, @or_comm (r c (f a)), or_assoc]
apply or_congr Iff.rfl
constructor
· rintro (h₁ | ⟨x, hx, h₂⟩)
· use a
simp [h₁]
· refine ⟨x, by simp [hx], h₂⟩
· rintro ⟨x, hx, h⟩
exact (mem_insert.mp hx).imp (fun hx => by rwa [hx] at h) (fun hx => ⟨x, hx, h⟩)
#align finset.fold_op_rel_iff_or Finset.fold_op_rel_iff_or
@[simp]
theorem fold_union_empty_singleton [DecidableEq α] (s : Finset α) :
Finset.fold (· ∪ ·) ∅ singleton s = s := by
induction' s using Finset.induction_on with a s has ih
· simp only [fold_empty]
· rw [fold_insert has, ih, insert_eq]
#align finset.fold_union_empty_singleton Finset.fold_union_empty_singleton
theorem fold_sup_bot_singleton [DecidableEq α] (s : Finset α) :
Finset.fold (· ⊔ ·) ⊥ singleton s = s :=
fold_union_empty_singleton s
#align finset.fold_sup_bot_singleton Finset.fold_sup_bot_singleton
section Order
variable [LinearOrder β] (c : β)
theorem le_fold_min : c ≤ s.fold min b f ↔ c ≤ b ∧ ∀ x ∈ s, c ≤ f x :=
fold_op_rel_iff_and le_min_iff
#align finset.le_fold_min Finset.le_fold_min
| Mathlib/Data/Finset/Fold.lean | 223 | 228 | theorem fold_min_le : s.fold min b f ≤ c ↔ b ≤ c ∨ ∃ x ∈ s, f x ≤ c := by |
show _ ≥ _ ↔ _
apply fold_op_rel_iff_or
intro x y z
show _ ≤ _ ↔ _
exact min_le_iff
|
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
| Mathlib/RingTheory/DedekindDomain/AdicValuation.lean | 124 | 134 | 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)
|
import Mathlib.MeasureTheory.Decomposition.Lebesgue
import Mathlib.MeasureTheory.Measure.Complex
import Mathlib.MeasureTheory.Decomposition.Jordan
import Mathlib.MeasureTheory.Measure.WithDensityVectorMeasure
noncomputable section
open scoped Classical MeasureTheory NNReal ENNReal
open Set
variable {α β : Type*} {m : MeasurableSpace α} {μ ν : MeasureTheory.Measure α}
namespace MeasureTheory
namespace SignedMeasure
open Measure
class HaveLebesgueDecomposition (s : SignedMeasure α) (μ : Measure α) : Prop where
posPart : s.toJordanDecomposition.posPart.HaveLebesgueDecomposition μ
negPart : s.toJordanDecomposition.negPart.HaveLebesgueDecomposition μ
#align measure_theory.signed_measure.have_lebesgue_decomposition MeasureTheory.SignedMeasure.HaveLebesgueDecomposition
#align measure_theory.signed_measure.have_lebesgue_decomposition.pos_part MeasureTheory.SignedMeasure.HaveLebesgueDecomposition.posPart
#align measure_theory.signed_measure.have_lebesgue_decomposition.neg_part MeasureTheory.SignedMeasure.HaveLebesgueDecomposition.negPart
attribute [instance] HaveLebesgueDecomposition.posPart
attribute [instance] HaveLebesgueDecomposition.negPart
theorem not_haveLebesgueDecomposition_iff (s : SignedMeasure α) (μ : Measure α) :
¬s.HaveLebesgueDecomposition μ ↔
¬s.toJordanDecomposition.posPart.HaveLebesgueDecomposition μ ∨
¬s.toJordanDecomposition.negPart.HaveLebesgueDecomposition μ :=
⟨fun h => not_or_of_imp fun hp hn => h ⟨hp, hn⟩, fun h hl => (not_and_or.2 h) ⟨hl.1, hl.2⟩⟩
#align measure_theory.signed_measure.not_have_lebesgue_decomposition_iff MeasureTheory.SignedMeasure.not_haveLebesgueDecomposition_iff
-- `inferInstance` directly does not work
-- see Note [lower instance priority]
instance (priority := 100) haveLebesgueDecomposition_of_sigmaFinite (s : SignedMeasure α)
(μ : Measure α) [SigmaFinite μ] : s.HaveLebesgueDecomposition μ where
posPart := inferInstance
negPart := inferInstance
#align measure_theory.signed_measure.have_lebesgue_decomposition_of_sigma_finite MeasureTheory.SignedMeasure.haveLebesgueDecomposition_of_sigmaFinite
instance haveLebesgueDecomposition_neg (s : SignedMeasure α) (μ : Measure α)
[s.HaveLebesgueDecomposition μ] : (-s).HaveLebesgueDecomposition μ where
posPart := by
rw [toJordanDecomposition_neg, JordanDecomposition.neg_posPart]
infer_instance
negPart := by
rw [toJordanDecomposition_neg, JordanDecomposition.neg_negPart]
infer_instance
#align measure_theory.signed_measure.have_lebesgue_decomposition_neg MeasureTheory.SignedMeasure.haveLebesgueDecomposition_neg
instance haveLebesgueDecomposition_smul (s : SignedMeasure α) (μ : Measure α)
[s.HaveLebesgueDecomposition μ] (r : ℝ≥0) : (r • s).HaveLebesgueDecomposition μ where
posPart := by
rw [toJordanDecomposition_smul, JordanDecomposition.smul_posPart]
infer_instance
negPart := by
rw [toJordanDecomposition_smul, JordanDecomposition.smul_negPart]
infer_instance
#align measure_theory.signed_measure.have_lebesgue_decomposition_smul MeasureTheory.SignedMeasure.haveLebesgueDecomposition_smul
instance haveLebesgueDecomposition_smul_real (s : SignedMeasure α) (μ : Measure α)
[s.HaveLebesgueDecomposition μ] (r : ℝ) : (r • s).HaveLebesgueDecomposition μ := by
by_cases hr : 0 ≤ r
· lift r to ℝ≥0 using hr
exact s.haveLebesgueDecomposition_smul μ _
· rw [not_le] at hr
refine
{ posPart := by
rw [toJordanDecomposition_smul_real, JordanDecomposition.real_smul_posPart_neg _ _ hr]
infer_instance
negPart := by
rw [toJordanDecomposition_smul_real, JordanDecomposition.real_smul_negPart_neg _ _ hr]
infer_instance }
#align measure_theory.signed_measure.have_lebesgue_decomposition_smul_real MeasureTheory.SignedMeasure.haveLebesgueDecomposition_smul_real
def singularPart (s : SignedMeasure α) (μ : Measure α) : SignedMeasure α :=
(s.toJordanDecomposition.posPart.singularPart μ).toSignedMeasure -
(s.toJordanDecomposition.negPart.singularPart μ).toSignedMeasure
#align measure_theory.signed_measure.singular_part MeasureTheory.SignedMeasure.singularPart
section
theorem singularPart_mutuallySingular (s : SignedMeasure α) (μ : Measure α) :
s.toJordanDecomposition.posPart.singularPart μ ⟂ₘ
s.toJordanDecomposition.negPart.singularPart μ := by
by_cases hl : s.HaveLebesgueDecomposition μ
· obtain ⟨i, hi, hpos, hneg⟩ := s.toJordanDecomposition.mutuallySingular
rw [s.toJordanDecomposition.posPart.haveLebesgueDecomposition_add μ] at hpos
rw [s.toJordanDecomposition.negPart.haveLebesgueDecomposition_add μ] at hneg
rw [add_apply, add_eq_zero_iff] at hpos hneg
exact ⟨i, hi, hpos.1, hneg.1⟩
· rw [not_haveLebesgueDecomposition_iff] at hl
cases' hl with hp hn
· rw [Measure.singularPart, dif_neg hp]
exact MutuallySingular.zero_left
· rw [Measure.singularPart, Measure.singularPart, dif_neg hn]
exact MutuallySingular.zero_right
#align measure_theory.signed_measure.singular_part_mutually_singular MeasureTheory.SignedMeasure.singularPart_mutuallySingular
theorem singularPart_totalVariation (s : SignedMeasure α) (μ : Measure α) :
(s.singularPart μ).totalVariation =
s.toJordanDecomposition.posPart.singularPart μ +
s.toJordanDecomposition.negPart.singularPart μ := by
have :
(s.singularPart μ).toJordanDecomposition =
⟨s.toJordanDecomposition.posPart.singularPart μ,
s.toJordanDecomposition.negPart.singularPart μ, singularPart_mutuallySingular s μ⟩ := by
refine JordanDecomposition.toSignedMeasure_injective ?_
rw [toSignedMeasure_toJordanDecomposition, singularPart, JordanDecomposition.toSignedMeasure]
rw [totalVariation, this]
#align measure_theory.signed_measure.singular_part_total_variation MeasureTheory.SignedMeasure.singularPart_totalVariation
nonrec theorem mutuallySingular_singularPart (s : SignedMeasure α) (μ : Measure α) :
singularPart s μ ⟂ᵥ μ.toENNRealVectorMeasure := by
rw [mutuallySingular_ennreal_iff, singularPart_totalVariation,
VectorMeasure.ennrealToMeasure_toENNRealVectorMeasure]
exact (mutuallySingular_singularPart _ _).add_left (mutuallySingular_singularPart _ _)
#align measure_theory.signed_measure.mutually_singular_singular_part MeasureTheory.SignedMeasure.mutuallySingular_singularPart
end
def rnDeriv (s : SignedMeasure α) (μ : Measure α) : α → ℝ := fun x =>
(s.toJordanDecomposition.posPart.rnDeriv μ x).toReal -
(s.toJordanDecomposition.negPart.rnDeriv μ x).toReal
#align measure_theory.signed_measure.rn_deriv MeasureTheory.SignedMeasure.rnDeriv
-- The generated equation theorem is the form of `rnDeriv s μ x = ...`.
theorem rnDeriv_def (s : SignedMeasure α) (μ : Measure α) : rnDeriv s μ = fun x =>
(s.toJordanDecomposition.posPart.rnDeriv μ x).toReal -
(s.toJordanDecomposition.negPart.rnDeriv μ x).toReal :=
rfl
variable {s t : SignedMeasure α}
@[measurability]
theorem measurable_rnDeriv (s : SignedMeasure α) (μ : Measure α) : Measurable (rnDeriv s μ) := by
rw [rnDeriv_def]
measurability
#align measure_theory.signed_measure.measurable_rn_deriv MeasureTheory.SignedMeasure.measurable_rnDeriv
theorem integrable_rnDeriv (s : SignedMeasure α) (μ : Measure α) : Integrable (rnDeriv s μ) μ := by
refine Integrable.sub ?_ ?_ <;>
· constructor
· apply Measurable.aestronglyMeasurable; measurability
exact hasFiniteIntegral_toReal_of_lintegral_ne_top (lintegral_rnDeriv_lt_top _ μ).ne
#align measure_theory.signed_measure.integrable_rn_deriv MeasureTheory.SignedMeasure.integrable_rnDeriv
variable (s μ)
theorem singularPart_add_withDensity_rnDeriv_eq [s.HaveLebesgueDecomposition μ] :
s.singularPart μ + μ.withDensityᵥ (s.rnDeriv μ) = s := by
conv_rhs =>
rw [← toSignedMeasure_toJordanDecomposition s, JordanDecomposition.toSignedMeasure]
rw [singularPart, rnDeriv_def,
withDensityᵥ_sub' (integrable_toReal_of_lintegral_ne_top _ _)
(integrable_toReal_of_lintegral_ne_top _ _),
withDensityᵥ_toReal, withDensityᵥ_toReal, sub_eq_add_neg, sub_eq_add_neg,
add_comm (s.toJordanDecomposition.posPart.singularPart μ).toSignedMeasure, ← add_assoc,
add_assoc (-(s.toJordanDecomposition.negPart.singularPart μ).toSignedMeasure),
← toSignedMeasure_add, add_comm, ← add_assoc, ← neg_add, ← toSignedMeasure_add, add_comm,
← sub_eq_add_neg]
· convert rfl
-- `convert rfl` much faster than `congr`
· exact s.toJordanDecomposition.posPart.haveLebesgueDecomposition_add μ
· rw [add_comm]
exact s.toJordanDecomposition.negPart.haveLebesgueDecomposition_add μ
all_goals
first
| exact (lintegral_rnDeriv_lt_top _ _).ne
| measurability
#align measure_theory.signed_measure.singular_part_add_with_density_rn_deriv_eq MeasureTheory.SignedMeasure.singularPart_add_withDensity_rnDeriv_eq
variable {s μ}
theorem jordanDecomposition_add_withDensity_mutuallySingular {f : α → ℝ} (hf : Measurable f)
(htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) :
(t.toJordanDecomposition.posPart + μ.withDensity fun x : α => ENNReal.ofReal (f x)) ⟂ₘ
t.toJordanDecomposition.negPart + μ.withDensity fun x : α => ENNReal.ofReal (-f x) := by
rw [mutuallySingular_ennreal_iff, totalVariation_mutuallySingular_iff,
VectorMeasure.ennrealToMeasure_toENNRealVectorMeasure] at htμ
exact
((JordanDecomposition.mutuallySingular _).add_right
(htμ.1.mono_ac (refl _) (withDensity_absolutelyContinuous _ _))).add_left
((htμ.2.symm.mono_ac (withDensity_absolutelyContinuous _ _) (refl _)).add_right
(withDensity_ofReal_mutuallySingular hf))
#align measure_theory.signed_measure.jordan_decomposition_add_with_density_mutually_singular MeasureTheory.SignedMeasure.jordanDecomposition_add_withDensity_mutuallySingular
theorem toJordanDecomposition_eq_of_eq_add_withDensity {f : α → ℝ} (hf : Measurable f)
(hfi : Integrable f μ) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) :
s.toJordanDecomposition =
@JordanDecomposition.mk α _
(t.toJordanDecomposition.posPart + μ.withDensity fun x => ENNReal.ofReal (f x))
(t.toJordanDecomposition.negPart + μ.withDensity fun x => ENNReal.ofReal (-f x))
(by haveI := isFiniteMeasure_withDensity_ofReal hfi.2; infer_instance)
(by haveI := isFiniteMeasure_withDensity_ofReal hfi.neg.2; infer_instance)
(jordanDecomposition_add_withDensity_mutuallySingular hf htμ) := by
haveI := isFiniteMeasure_withDensity_ofReal hfi.2
haveI := isFiniteMeasure_withDensity_ofReal hfi.neg.2
refine toJordanDecomposition_eq ?_
simp_rw [JordanDecomposition.toSignedMeasure, hadd]
ext i hi
rw [VectorMeasure.sub_apply, toSignedMeasure_apply_measurable hi,
toSignedMeasure_apply_measurable hi, add_apply, add_apply, ENNReal.toReal_add,
ENNReal.toReal_add, add_sub_add_comm, ← toSignedMeasure_apply_measurable hi,
← toSignedMeasure_apply_measurable hi, ← VectorMeasure.sub_apply,
← JordanDecomposition.toSignedMeasure, toSignedMeasure_toJordanDecomposition,
VectorMeasure.add_apply, ← toSignedMeasure_apply_measurable hi,
← toSignedMeasure_apply_measurable hi,
withDensityᵥ_eq_withDensity_pos_part_sub_withDensity_neg_part hfi,
VectorMeasure.sub_apply] <;>
exact (measure_lt_top _ _).ne
#align measure_theory.signed_measure.to_jordan_decomposition_eq_of_eq_add_with_density MeasureTheory.SignedMeasure.toJordanDecomposition_eq_of_eq_add_withDensity
private theorem haveLebesgueDecomposition_mk' (μ : Measure α) {f : α → ℝ} (hf : Measurable f)
(hfi : Integrable f μ) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) :
s.HaveLebesgueDecomposition μ := by
have htμ' := htμ
rw [mutuallySingular_ennreal_iff] at htμ
change _ ⟂ₘ VectorMeasure.equivMeasure.toFun (VectorMeasure.equivMeasure.invFun μ) at htμ
rw [VectorMeasure.equivMeasure.right_inv, totalVariation_mutuallySingular_iff] at htμ
refine
{ posPart := by
use ⟨t.toJordanDecomposition.posPart, fun x => ENNReal.ofReal (f x)⟩
refine ⟨hf.ennreal_ofReal, htμ.1, ?_⟩
rw [toJordanDecomposition_eq_of_eq_add_withDensity hf hfi htμ' hadd]
negPart := by
use ⟨t.toJordanDecomposition.negPart, fun x => ENNReal.ofReal (-f x)⟩
refine ⟨hf.neg.ennreal_ofReal, htμ.2, ?_⟩
rw [toJordanDecomposition_eq_of_eq_add_withDensity hf hfi htμ' hadd] }
| Mathlib/MeasureTheory/Decomposition/SignedLebesgue.lean | 290 | 297 | theorem haveLebesgueDecomposition_mk (μ : Measure α) {f : α → ℝ} (hf : Measurable f)
(htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) :
s.HaveLebesgueDecomposition μ := by |
by_cases hfi : Integrable f μ
· exact haveLebesgueDecomposition_mk' μ hf hfi htμ hadd
· rw [withDensityᵥ, dif_neg hfi, add_zero] at hadd
refine haveLebesgueDecomposition_mk' μ measurable_zero (integrable_zero _ _ μ) htμ ?_
rwa [withDensityᵥ_zero, add_zero]
|
import Mathlib.Data.ZMod.Basic
import Mathlib.GroupTheory.Exponent
#align_import group_theory.specific_groups.dihedral from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
inductive DihedralGroup (n : ℕ) : Type
| r : ZMod n → DihedralGroup n
| sr : ZMod n → DihedralGroup n
deriving DecidableEq
#align dihedral_group DihedralGroup
namespace DihedralGroup
variable {n : ℕ}
private def mul : DihedralGroup n → DihedralGroup n → DihedralGroup n
| r i, r j => r (i + j)
| r i, sr j => sr (j - i)
| sr i, r j => sr (i + j)
| sr i, sr j => r (j - i)
private def one : DihedralGroup n :=
r 0
instance : Inhabited (DihedralGroup n) :=
⟨one⟩
private def inv : DihedralGroup n → DihedralGroup n
| r i => r (-i)
| sr i => sr i
instance : Group (DihedralGroup n) where
mul := mul
mul_assoc := by rintro (a | a) (b | b) (c | c) <;> simp only [(· * ·), mul] <;> ring_nf
one := one
one_mul := by
rintro (a | a)
· exact congr_arg r (zero_add a)
· exact congr_arg sr (sub_zero a)
mul_one := by
rintro (a | a)
· exact congr_arg r (add_zero a)
· exact congr_arg sr (add_zero a)
inv := inv
mul_left_inv := by
rintro (a | a)
· exact congr_arg r (neg_add_self a)
· exact congr_arg r (sub_self a)
@[simp]
theorem r_mul_r (i j : ZMod n) : r i * r j = r (i + j) :=
rfl
#align dihedral_group.r_mul_r DihedralGroup.r_mul_r
@[simp]
theorem r_mul_sr (i j : ZMod n) : r i * sr j = sr (j - i) :=
rfl
#align dihedral_group.r_mul_sr DihedralGroup.r_mul_sr
@[simp]
theorem sr_mul_r (i j : ZMod n) : sr i * r j = sr (i + j) :=
rfl
#align dihedral_group.sr_mul_r DihedralGroup.sr_mul_r
@[simp]
theorem sr_mul_sr (i j : ZMod n) : sr i * sr j = r (j - i) :=
rfl
#align dihedral_group.sr_mul_sr DihedralGroup.sr_mul_sr
theorem one_def : (1 : DihedralGroup n) = r 0 :=
rfl
#align dihedral_group.one_def DihedralGroup.one_def
private def fintypeHelper : Sum (ZMod n) (ZMod n) ≃ DihedralGroup n where
invFun i := match i with
| r j => Sum.inl j
| sr j => Sum.inr j
toFun i := match i with
| Sum.inl j => r j
| Sum.inr j => sr j
left_inv := by rintro (x | x) <;> rfl
right_inv := by rintro (x | x) <;> rfl
instance [NeZero n] : Fintype (DihedralGroup n) :=
Fintype.ofEquiv _ fintypeHelper
instance : Infinite (DihedralGroup 0) :=
DihedralGroup.fintypeHelper.infinite_iff.mp inferInstance
instance : Nontrivial (DihedralGroup n) :=
⟨⟨r 0, sr 0, by simp_rw [ne_eq, not_false_eq_true]⟩⟩
theorem card [NeZero n] : Fintype.card (DihedralGroup n) = 2 * n := by
rw [← Fintype.card_eq.mpr ⟨fintypeHelper⟩, Fintype.card_sum, ZMod.card, two_mul]
#align dihedral_group.card DihedralGroup.card
theorem nat_card : Nat.card (DihedralGroup n) = 2 * n := by
cases n
· rw [Nat.card_eq_zero_of_infinite]
· rw [Nat.card_eq_fintype_card, card]
@[simp]
theorem r_one_pow (k : ℕ) : (r 1 : DihedralGroup n) ^ k = r k := by
induction' k with k IH
· rw [Nat.cast_zero]
rfl
· rw [pow_succ', IH, r_mul_r]
congr 1
norm_cast
rw [Nat.one_add]
#align dihedral_group.r_one_pow DihedralGroup.r_one_pow
-- @[simp] -- Porting note: simp changes the goal to `r 0 = 1`. `r_one_pow_n` is no longer useful.
theorem r_one_pow_n : r (1 : ZMod n) ^ n = 1 := by
rw [r_one_pow, one_def]
congr 1
exact ZMod.natCast_self _
#align dihedral_group.r_one_pow_n DihedralGroup.r_one_pow_n
-- @[simp] -- Porting note: simp changes the goal to `r 0 = 1`. `sr_mul_self` is no longer useful.
theorem sr_mul_self (i : ZMod n) : sr i * sr i = 1 := by rw [sr_mul_sr, sub_self, one_def]
#align dihedral_group.sr_mul_self DihedralGroup.sr_mul_self
@[simp]
theorem orderOf_sr (i : ZMod n) : orderOf (sr i) = 2 := by
apply orderOf_eq_prime
· rw [sq, sr_mul_self]
· -- Porting note: Previous proof was `decide`
revert n
simp_rw [one_def, ne_eq, forall_const, not_false_eq_true]
#align dihedral_group.order_of_sr DihedralGroup.orderOf_sr
@[simp]
theorem orderOf_r_one : orderOf (r 1 : DihedralGroup n) = n := by
rcases eq_zero_or_neZero n with (rfl | hn)
· rw [orderOf_eq_zero_iff']
intro n hn
rw [r_one_pow, one_def]
apply mt r.inj
simpa using hn.ne'
· apply (Nat.le_of_dvd (NeZero.pos n) <|
orderOf_dvd_of_pow_eq_one <| @r_one_pow_n n).lt_or_eq.resolve_left
intro h
have h1 : (r 1 : DihedralGroup n) ^ orderOf (r 1) = 1 := pow_orderOf_eq_one _
rw [r_one_pow] at h1
injection h1 with h2
rw [← ZMod.val_eq_zero, ZMod.val_natCast, Nat.mod_eq_of_lt h] at h2
exact absurd h2.symm (orderOf_pos _).ne
#align dihedral_group.order_of_r_one DihedralGroup.orderOf_r_one
theorem orderOf_r [NeZero n] (i : ZMod n) : orderOf (r i) = n / Nat.gcd n i.val := by
conv_lhs => rw [← ZMod.natCast_zmod_val i]
rw [← r_one_pow, orderOf_pow, orderOf_r_one]
#align dihedral_group.order_of_r DihedralGroup.orderOf_r
| Mathlib/GroupTheory/SpecificGroups/Dihedral.lean | 194 | 209 | theorem exponent : Monoid.exponent (DihedralGroup n) = lcm n 2 := by |
rcases eq_zero_or_neZero n with (rfl | hn)
· exact Monoid.exponent_eq_zero_of_order_zero orderOf_r_one
apply Nat.dvd_antisymm
· apply Monoid.exponent_dvd_of_forall_pow_eq_one
rintro (m | m)
· rw [← orderOf_dvd_iff_pow_eq_one, orderOf_r]
refine Nat.dvd_trans ⟨gcd n m.val, ?_⟩ (dvd_lcm_left n 2)
exact (Nat.div_mul_cancel (Nat.gcd_dvd_left n m.val)).symm
· rw [← orderOf_dvd_iff_pow_eq_one, orderOf_sr]
exact dvd_lcm_right n 2
· apply lcm_dvd
· convert Monoid.order_dvd_exponent (r (1 : ZMod n))
exact orderOf_r_one.symm
· convert Monoid.order_dvd_exponent (sr (0 : ZMod n))
exact (orderOf_sr 0).symm
|
import Mathlib.Analysis.Calculus.ContDiff.Defs
import Mathlib.Analysis.Calculus.FDeriv.Add
import Mathlib.Analysis.Calculus.FDeriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Inverse
#align_import analysis.calculus.cont_diff from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
noncomputable section
open scoped Classical NNReal Nat
local notation "∞" => (⊤ : ℕ∞)
universe u v w uD uE uF uG
attribute [local instance 1001]
NormedAddCommGroup.toAddCommGroup NormedSpace.toModule' AddCommGroup.toAddCommMonoid
open Set Fin Filter Function
open scoped Topology
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {D : Type uD} [NormedAddCommGroup D]
[NormedSpace 𝕜 D] {E : Type uE} [NormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type uF}
[NormedAddCommGroup F] [NormedSpace 𝕜 F] {G : Type uG} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
{X : Type*} [NormedAddCommGroup X] [NormedSpace 𝕜 X] {s s₁ t u : Set E} {f f₁ : E → F}
{g : F → G} {x x₀ : E} {c : F} {b : E × F → G} {m n : ℕ∞} {p : E → FormalMultilinearSeries 𝕜 E F}
@[simp]
theorem iteratedFDerivWithin_zero_fun (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} :
iteratedFDerivWithin 𝕜 i (fun _ : E ↦ (0 : F)) s x = 0 := by
induction i generalizing x with
| zero => ext; simp
| succ i IH =>
ext m
rw [iteratedFDerivWithin_succ_apply_left, fderivWithin_congr (fun _ ↦ IH) (IH hx)]
rw [fderivWithin_const_apply _ (hs x hx)]
rfl
@[simp]
theorem iteratedFDeriv_zero_fun {n : ℕ} : (iteratedFDeriv 𝕜 n fun _ : E ↦ (0 : F)) = 0 :=
funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using
iteratedFDerivWithin_zero_fun uniqueDiffOn_univ (mem_univ x)
#align iterated_fderiv_zero_fun iteratedFDeriv_zero_fun
theorem contDiff_zero_fun : ContDiff 𝕜 n fun _ : E => (0 : F) :=
contDiff_of_differentiable_iteratedFDeriv fun m _ => by
rw [iteratedFDeriv_zero_fun]
exact differentiable_const (0 : E[×m]→L[𝕜] F)
#align cont_diff_zero_fun contDiff_zero_fun
theorem contDiff_const {c : F} : ContDiff 𝕜 n fun _ : E => c := by
suffices h : ContDiff 𝕜 ∞ fun _ : E => c from h.of_le le_top
rw [contDiff_top_iff_fderiv]
refine ⟨differentiable_const c, ?_⟩
rw [fderiv_const]
exact contDiff_zero_fun
#align cont_diff_const contDiff_const
theorem contDiffOn_const {c : F} {s : Set E} : ContDiffOn 𝕜 n (fun _ : E => c) s :=
contDiff_const.contDiffOn
#align cont_diff_on_const contDiffOn_const
theorem contDiffAt_const {c : F} : ContDiffAt 𝕜 n (fun _ : E => c) x :=
contDiff_const.contDiffAt
#align cont_diff_at_const contDiffAt_const
theorem contDiffWithinAt_const {c : F} : ContDiffWithinAt 𝕜 n (fun _ : E => c) s x :=
contDiffAt_const.contDiffWithinAt
#align cont_diff_within_at_const contDiffWithinAt_const
@[nontriviality]
theorem contDiff_of_subsingleton [Subsingleton F] : ContDiff 𝕜 n f := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiff_const
#align cont_diff_of_subsingleton contDiff_of_subsingleton
@[nontriviality]
theorem contDiffAt_of_subsingleton [Subsingleton F] : ContDiffAt 𝕜 n f x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffAt_const
#align cont_diff_at_of_subsingleton contDiffAt_of_subsingleton
@[nontriviality]
theorem contDiffWithinAt_of_subsingleton [Subsingleton F] : ContDiffWithinAt 𝕜 n f s x := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffWithinAt_const
#align cont_diff_within_at_of_subsingleton contDiffWithinAt_of_subsingleton
@[nontriviality]
theorem contDiffOn_of_subsingleton [Subsingleton F] : ContDiffOn 𝕜 n f s := by
rw [Subsingleton.elim f fun _ => 0]; exact contDiffOn_const
#align cont_diff_on_of_subsingleton contDiffOn_of_subsingleton
theorem iteratedFDerivWithin_succ_const (n : ℕ) (c : F) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
iteratedFDerivWithin 𝕜 (n + 1) (fun _ : E ↦ c) s x = 0 := by
ext m
rw [iteratedFDerivWithin_succ_apply_right hs hx]
rw [iteratedFDerivWithin_congr (fun y hy ↦ fderivWithin_const_apply c (hs y hy)) hx]
rw [iteratedFDerivWithin_zero_fun hs hx]
simp [ContinuousMultilinearMap.zero_apply (R := 𝕜)]
theorem iteratedFDeriv_succ_const (n : ℕ) (c : F) :
(iteratedFDeriv 𝕜 (n + 1) fun _ : E ↦ c) = 0 :=
funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using
iteratedFDerivWithin_succ_const n c uniqueDiffOn_univ (mem_univ x)
#align iterated_fderiv_succ_const iteratedFDeriv_succ_const
theorem iteratedFDerivWithin_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) :
iteratedFDerivWithin 𝕜 n (fun _ : E ↦ c) s x = 0 := by
cases n with
| zero => contradiction
| succ n => exact iteratedFDerivWithin_succ_const n c hs hx
theorem iteratedFDeriv_const_of_ne {n : ℕ} (hn : n ≠ 0) (c : F) :
(iteratedFDeriv 𝕜 n fun _ : E ↦ c) = 0 :=
funext fun x ↦ by simpa [← iteratedFDerivWithin_univ] using
iteratedFDerivWithin_const_of_ne hn c uniqueDiffOn_univ (mem_univ x)
#align iterated_fderiv_const_of_ne iteratedFDeriv_const_of_ne
theorem IsBoundedLinearMap.contDiff (hf : IsBoundedLinearMap 𝕜 f) : ContDiff 𝕜 n f := by
suffices h : ContDiff 𝕜 ∞ f from h.of_le le_top
rw [contDiff_top_iff_fderiv]
refine ⟨hf.differentiable, ?_⟩
simp_rw [hf.fderiv]
exact contDiff_const
#align is_bounded_linear_map.cont_diff IsBoundedLinearMap.contDiff
theorem ContinuousLinearMap.contDiff (f : E →L[𝕜] F) : ContDiff 𝕜 n f :=
f.isBoundedLinearMap.contDiff
#align continuous_linear_map.cont_diff ContinuousLinearMap.contDiff
theorem ContinuousLinearEquiv.contDiff (f : E ≃L[𝕜] F) : ContDiff 𝕜 n f :=
(f : E →L[𝕜] F).contDiff
#align continuous_linear_equiv.cont_diff ContinuousLinearEquiv.contDiff
theorem LinearIsometry.contDiff (f : E →ₗᵢ[𝕜] F) : ContDiff 𝕜 n f :=
f.toContinuousLinearMap.contDiff
#align linear_isometry.cont_diff LinearIsometry.contDiff
theorem LinearIsometryEquiv.contDiff (f : E ≃ₗᵢ[𝕜] F) : ContDiff 𝕜 n f :=
(f : E →L[𝕜] F).contDiff
#align linear_isometry_equiv.cont_diff LinearIsometryEquiv.contDiff
theorem contDiff_id : ContDiff 𝕜 n (id : E → E) :=
IsBoundedLinearMap.id.contDiff
#align cont_diff_id contDiff_id
theorem contDiffWithinAt_id {s x} : ContDiffWithinAt 𝕜 n (id : E → E) s x :=
contDiff_id.contDiffWithinAt
#align cont_diff_within_at_id contDiffWithinAt_id
theorem contDiffAt_id {x} : ContDiffAt 𝕜 n (id : E → E) x :=
contDiff_id.contDiffAt
#align cont_diff_at_id contDiffAt_id
theorem contDiffOn_id {s} : ContDiffOn 𝕜 n (id : E → E) s :=
contDiff_id.contDiffOn
#align cont_diff_on_id contDiffOn_id
theorem IsBoundedBilinearMap.contDiff (hb : IsBoundedBilinearMap 𝕜 b) : ContDiff 𝕜 n b := by
suffices h : ContDiff 𝕜 ∞ b from h.of_le le_top
rw [contDiff_top_iff_fderiv]
refine ⟨hb.differentiable, ?_⟩
simp only [hb.fderiv]
exact hb.isBoundedLinearMap_deriv.contDiff
#align is_bounded_bilinear_map.cont_diff IsBoundedBilinearMap.contDiff
theorem HasFTaylorSeriesUpToOn.continuousLinearMap_comp (g : F →L[𝕜] G)
(hf : HasFTaylorSeriesUpToOn n f p s) :
HasFTaylorSeriesUpToOn n (g ∘ f) (fun x k => g.compContinuousMultilinearMap (p x k)) s where
zero_eq x hx := congr_arg g (hf.zero_eq x hx)
fderivWithin m hm x hx := (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin m => E) F G g).hasFDerivAt.comp_hasFDerivWithinAt x (hf.fderivWithin m hm x hx)
cont m hm := (ContinuousLinearMap.compContinuousMultilinearMapL 𝕜
(fun _ : Fin m => E) F G g).continuous.comp_continuousOn (hf.cont m hm)
#align has_ftaylor_series_up_to_on.continuous_linear_map_comp HasFTaylorSeriesUpToOn.continuousLinearMap_comp
theorem ContDiffWithinAt.continuousLinearMap_comp (g : F →L[𝕜] G)
(hf : ContDiffWithinAt 𝕜 n f s x) : ContDiffWithinAt 𝕜 n (g ∘ f) s x := fun m hm ↦ by
rcases hf m hm with ⟨u, hu, p, hp⟩
exact ⟨u, hu, _, hp.continuousLinearMap_comp g⟩
#align cont_diff_within_at.continuous_linear_map_comp ContDiffWithinAt.continuousLinearMap_comp
theorem ContDiffAt.continuousLinearMap_comp (g : F →L[𝕜] G) (hf : ContDiffAt 𝕜 n f x) :
ContDiffAt 𝕜 n (g ∘ f) x :=
ContDiffWithinAt.continuousLinearMap_comp g hf
#align cont_diff_at.continuous_linear_map_comp ContDiffAt.continuousLinearMap_comp
theorem ContDiffOn.continuousLinearMap_comp (g : F →L[𝕜] G) (hf : ContDiffOn 𝕜 n f s) :
ContDiffOn 𝕜 n (g ∘ f) s := fun x hx => (hf x hx).continuousLinearMap_comp g
#align cont_diff_on.continuous_linear_map_comp ContDiffOn.continuousLinearMap_comp
theorem ContDiff.continuousLinearMap_comp {f : E → F} (g : F →L[𝕜] G) (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n fun x => g (f x) :=
contDiffOn_univ.1 <| ContDiffOn.continuousLinearMap_comp _ (contDiffOn_univ.2 hf)
#align cont_diff.continuous_linear_map_comp ContDiff.continuousLinearMap_comp
theorem ContinuousLinearMap.iteratedFDerivWithin_comp_left {f : E → F} (g : F →L[𝕜] G)
(hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
g.compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
(((hf.ftaylorSeriesWithin hs).continuousLinearMap_comp g).eq_iteratedFDerivWithin_of_uniqueDiffOn
hi hs hx).symm
#align continuous_linear_map.iterated_fderiv_within_comp_left ContinuousLinearMap.iteratedFDerivWithin_comp_left
theorem ContinuousLinearMap.iteratedFDeriv_comp_left {f : E → F} (g : F →L[𝕜] G)
(hf : ContDiff 𝕜 n f) (x : E) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
iteratedFDeriv 𝕜 i (g ∘ f) x = g.compContinuousMultilinearMap (iteratedFDeriv 𝕜 i f x) := by
simp only [← iteratedFDerivWithin_univ]
exact g.iteratedFDerivWithin_comp_left hf.contDiffOn uniqueDiffOn_univ (mem_univ x) hi
#align continuous_linear_map.iterated_fderiv_comp_left ContinuousLinearMap.iteratedFDeriv_comp_left
theorem ContinuousLinearEquiv.iteratedFDerivWithin_comp_left (g : F ≃L[𝕜] G) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (i : ℕ) :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(g : F →L[𝕜] G).compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) := by
induction' i with i IH generalizing x
· ext1 m
simp only [Nat.zero_eq, iteratedFDerivWithin_zero_apply, comp_apply,
ContinuousLinearMap.compContinuousMultilinearMap_coe, coe_coe]
· ext1 m
rw [iteratedFDerivWithin_succ_apply_left]
have Z : fderivWithin 𝕜 (iteratedFDerivWithin 𝕜 i (g ∘ f) s) s x =
fderivWithin 𝕜 (g.compContinuousMultilinearMapL (fun _ : Fin i => E) ∘
iteratedFDerivWithin 𝕜 i f s) s x :=
fderivWithin_congr' (@IH) hx
simp_rw [Z]
rw [(g.compContinuousMultilinearMapL fun _ : Fin i => E).comp_fderivWithin (hs x hx)]
simp only [ContinuousLinearMap.coe_comp', ContinuousLinearEquiv.coe_coe, comp_apply,
ContinuousLinearEquiv.compContinuousMultilinearMapL_apply,
ContinuousLinearMap.compContinuousMultilinearMap_coe, EmbeddingLike.apply_eq_iff_eq]
rw [iteratedFDerivWithin_succ_apply_left]
#align continuous_linear_equiv.iterated_fderiv_within_comp_left ContinuousLinearEquiv.iteratedFDerivWithin_comp_left
theorem LinearIsometry.norm_iteratedFDerivWithin_comp_left {f : E → F} (g : F →ₗᵢ[𝕜] G)
(hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
‖iteratedFDerivWithin 𝕜 i (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
have :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
g.toContinuousLinearMap.compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
g.toContinuousLinearMap.iteratedFDerivWithin_comp_left hf hs hx hi
rw [this]
apply LinearIsometry.norm_compContinuousMultilinearMap
#align linear_isometry.norm_iterated_fderiv_within_comp_left LinearIsometry.norm_iteratedFDerivWithin_comp_left
theorem LinearIsometry.norm_iteratedFDeriv_comp_left {f : E → F} (g : F →ₗᵢ[𝕜] G)
(hf : ContDiff 𝕜 n f) (x : E) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
‖iteratedFDeriv 𝕜 i (g ∘ f) x‖ = ‖iteratedFDeriv 𝕜 i f x‖ := by
simp only [← iteratedFDerivWithin_univ]
exact g.norm_iteratedFDerivWithin_comp_left hf.contDiffOn uniqueDiffOn_univ (mem_univ x) hi
#align linear_isometry.norm_iterated_fderiv_comp_left LinearIsometry.norm_iteratedFDeriv_comp_left
theorem LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left (g : F ≃ₗᵢ[𝕜] G) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) (hx : x ∈ s) (i : ℕ) :
‖iteratedFDerivWithin 𝕜 i (g ∘ f) s x‖ = ‖iteratedFDerivWithin 𝕜 i f s x‖ := by
have :
iteratedFDerivWithin 𝕜 i (g ∘ f) s x =
(g : F →L[𝕜] G).compContinuousMultilinearMap (iteratedFDerivWithin 𝕜 i f s x) :=
g.toContinuousLinearEquiv.iteratedFDerivWithin_comp_left f hs hx i
rw [this]
apply LinearIsometry.norm_compContinuousMultilinearMap g.toLinearIsometry
#align linear_isometry_equiv.norm_iterated_fderiv_within_comp_left LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_left
theorem LinearIsometryEquiv.norm_iteratedFDeriv_comp_left (g : F ≃ₗᵢ[𝕜] G) (f : E → F) (x : E)
(i : ℕ) : ‖iteratedFDeriv 𝕜 i (g ∘ f) x‖ = ‖iteratedFDeriv 𝕜 i f x‖ := by
rw [← iteratedFDerivWithin_univ, ← iteratedFDerivWithin_univ]
apply g.norm_iteratedFDerivWithin_comp_left f uniqueDiffOn_univ (mem_univ x) i
#align linear_isometry_equiv.norm_iterated_fderiv_comp_left LinearIsometryEquiv.norm_iteratedFDeriv_comp_left
theorem ContinuousLinearEquiv.comp_contDiffWithinAt_iff (e : F ≃L[𝕜] G) :
ContDiffWithinAt 𝕜 n (e ∘ f) s x ↔ ContDiffWithinAt 𝕜 n f s x :=
⟨fun H => by
simpa only [(· ∘ ·), e.symm.coe_coe, e.symm_apply_apply] using
H.continuousLinearMap_comp (e.symm : G →L[𝕜] F),
fun H => H.continuousLinearMap_comp (e : F →L[𝕜] G)⟩
#align continuous_linear_equiv.comp_cont_diff_within_at_iff ContinuousLinearEquiv.comp_contDiffWithinAt_iff
theorem ContinuousLinearEquiv.comp_contDiffAt_iff (e : F ≃L[𝕜] G) :
ContDiffAt 𝕜 n (e ∘ f) x ↔ ContDiffAt 𝕜 n f x := by
simp only [← contDiffWithinAt_univ, e.comp_contDiffWithinAt_iff]
#align continuous_linear_equiv.comp_cont_diff_at_iff ContinuousLinearEquiv.comp_contDiffAt_iff
theorem ContinuousLinearEquiv.comp_contDiffOn_iff (e : F ≃L[𝕜] G) :
ContDiffOn 𝕜 n (e ∘ f) s ↔ ContDiffOn 𝕜 n f s := by
simp [ContDiffOn, e.comp_contDiffWithinAt_iff]
#align continuous_linear_equiv.comp_cont_diff_on_iff ContinuousLinearEquiv.comp_contDiffOn_iff
theorem ContinuousLinearEquiv.comp_contDiff_iff (e : F ≃L[𝕜] G) :
ContDiff 𝕜 n (e ∘ f) ↔ ContDiff 𝕜 n f := by
simp only [← contDiffOn_univ, e.comp_contDiffOn_iff]
#align continuous_linear_equiv.comp_cont_diff_iff ContinuousLinearEquiv.comp_contDiff_iff
theorem HasFTaylorSeriesUpToOn.compContinuousLinearMap (hf : HasFTaylorSeriesUpToOn n f p s)
(g : G →L[𝕜] E) :
HasFTaylorSeriesUpToOn n (f ∘ g) (fun x k => (p (g x) k).compContinuousLinearMap fun _ => g)
(g ⁻¹' s) := by
let A : ∀ m : ℕ, (E[×m]→L[𝕜] F) → G[×m]→L[𝕜] F := fun m h => h.compContinuousLinearMap fun _ => g
have hA : ∀ m, IsBoundedLinearMap 𝕜 (A m) := fun m =>
isBoundedLinearMap_continuousMultilinearMap_comp_linear g
constructor
· intro x hx
simp only [(hf.zero_eq (g x) hx).symm, Function.comp_apply]
change (p (g x) 0 fun _ : Fin 0 => g 0) = p (g x) 0 0
rw [ContinuousLinearMap.map_zero]
rfl
· intro m hm x hx
convert (hA m).hasFDerivAt.comp_hasFDerivWithinAt x
((hf.fderivWithin m hm (g x) hx).comp x g.hasFDerivWithinAt (Subset.refl _))
ext y v
change p (g x) (Nat.succ m) (g ∘ cons y v) = p (g x) m.succ (cons (g y) (g ∘ v))
rw [comp_cons]
· intro m hm
exact (hA m).continuous.comp_continuousOn <| (hf.cont m hm).comp g.continuous.continuousOn <|
Subset.refl _
#align has_ftaylor_series_up_to_on.comp_continuous_linear_map HasFTaylorSeriesUpToOn.compContinuousLinearMap
theorem ContDiffWithinAt.comp_continuousLinearMap {x : G} (g : G →L[𝕜] E)
(hf : ContDiffWithinAt 𝕜 n f s (g x)) : ContDiffWithinAt 𝕜 n (f ∘ g) (g ⁻¹' s) x := by
intro m hm
rcases hf m hm with ⟨u, hu, p, hp⟩
refine ⟨g ⁻¹' u, ?_, _, hp.compContinuousLinearMap g⟩
refine g.continuous.continuousWithinAt.tendsto_nhdsWithin ?_ hu
exact (mapsTo_singleton.2 <| mem_singleton _).union_union (mapsTo_preimage _ _)
#align cont_diff_within_at.comp_continuous_linear_map ContDiffWithinAt.comp_continuousLinearMap
theorem ContDiffOn.comp_continuousLinearMap (hf : ContDiffOn 𝕜 n f s) (g : G →L[𝕜] E) :
ContDiffOn 𝕜 n (f ∘ g) (g ⁻¹' s) := fun x hx => (hf (g x) hx).comp_continuousLinearMap g
#align cont_diff_on.comp_continuous_linear_map ContDiffOn.comp_continuousLinearMap
theorem ContDiff.comp_continuousLinearMap {f : E → F} {g : G →L[𝕜] E} (hf : ContDiff 𝕜 n f) :
ContDiff 𝕜 n (f ∘ g) :=
contDiffOn_univ.1 <| ContDiffOn.comp_continuousLinearMap (contDiffOn_univ.2 hf) _
#align cont_diff.comp_continuous_linear_map ContDiff.comp_continuousLinearMap
theorem ContinuousLinearMap.iteratedFDerivWithin_comp_right {f : E → F} (g : G →L[𝕜] E)
(hf : ContDiffOn 𝕜 n f s) (hs : UniqueDiffOn 𝕜 s) (h's : UniqueDiffOn 𝕜 (g ⁻¹' s)) {x : G}
(hx : g x ∈ s) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g :=
(((hf.ftaylorSeriesWithin hs).compContinuousLinearMap g).eq_iteratedFDerivWithin_of_uniqueDiffOn
hi h's hx).symm
#align continuous_linear_map.iterated_fderiv_within_comp_right ContinuousLinearMap.iteratedFDerivWithin_comp_right
theorem ContinuousLinearEquiv.iteratedFDerivWithin_comp_right (g : G ≃L[𝕜] E) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) {x : G} (hx : g x ∈ s) (i : ℕ) :
iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g := by
induction' i with i IH generalizing x
· ext1
simp only [Nat.zero_eq, iteratedFDerivWithin_zero_apply, comp_apply,
ContinuousMultilinearMap.compContinuousLinearMap_apply]
· ext1 m
simp only [ContinuousMultilinearMap.compContinuousLinearMap_apply,
ContinuousLinearEquiv.coe_coe, iteratedFDerivWithin_succ_apply_left]
have : fderivWithin 𝕜 (iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s)) (g ⁻¹' s) x =
fderivWithin 𝕜
(ContinuousMultilinearMap.compContinuousLinearMapEquivL _ (fun _x : Fin i => g) ∘
(iteratedFDerivWithin 𝕜 i f s ∘ g)) (g ⁻¹' s) x :=
fderivWithin_congr' (@IH) hx
rw [this, ContinuousLinearEquiv.comp_fderivWithin _ (g.uniqueDiffOn_preimage_iff.2 hs x hx)]
simp only [ContinuousLinearMap.coe_comp', ContinuousLinearEquiv.coe_coe, comp_apply,
ContinuousMultilinearMap.compContinuousLinearMapEquivL_apply,
ContinuousMultilinearMap.compContinuousLinearMap_apply]
rw [ContinuousLinearEquiv.comp_right_fderivWithin _ (g.uniqueDiffOn_preimage_iff.2 hs x hx),
ContinuousLinearMap.coe_comp', coe_coe, comp_apply, tail_def, tail_def]
#align continuous_linear_equiv.iterated_fderiv_within_comp_right ContinuousLinearEquiv.iteratedFDerivWithin_comp_right
theorem ContinuousLinearMap.iteratedFDeriv_comp_right (g : G →L[𝕜] E) {f : E → F}
(hf : ContDiff 𝕜 n f) (x : G) {i : ℕ} (hi : (i : ℕ∞) ≤ n) :
iteratedFDeriv 𝕜 i (f ∘ g) x =
(iteratedFDeriv 𝕜 i f (g x)).compContinuousLinearMap fun _ => g := by
simp only [← iteratedFDerivWithin_univ]
exact g.iteratedFDerivWithin_comp_right hf.contDiffOn uniqueDiffOn_univ uniqueDiffOn_univ
(mem_univ _) hi
#align continuous_linear_map.iterated_fderiv_comp_right ContinuousLinearMap.iteratedFDeriv_comp_right
theorem LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right (g : G ≃ₗᵢ[𝕜] E) (f : E → F)
(hs : UniqueDiffOn 𝕜 s) {x : G} (hx : g x ∈ s) (i : ℕ) :
‖iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x‖ = ‖iteratedFDerivWithin 𝕜 i f s (g x)‖ := by
have : iteratedFDerivWithin 𝕜 i (f ∘ g) (g ⁻¹' s) x =
(iteratedFDerivWithin 𝕜 i f s (g x)).compContinuousLinearMap fun _ => g :=
g.toContinuousLinearEquiv.iteratedFDerivWithin_comp_right f hs hx i
rw [this, ContinuousMultilinearMap.norm_compContinuous_linearIsometryEquiv]
#align linear_isometry_equiv.norm_iterated_fderiv_within_comp_right LinearIsometryEquiv.norm_iteratedFDerivWithin_comp_right
theorem LinearIsometryEquiv.norm_iteratedFDeriv_comp_right (g : G ≃ₗᵢ[𝕜] E) (f : E → F) (x : G)
(i : ℕ) : ‖iteratedFDeriv 𝕜 i (f ∘ g) x‖ = ‖iteratedFDeriv 𝕜 i f (g x)‖ := by
simp only [← iteratedFDerivWithin_univ]
apply g.norm_iteratedFDerivWithin_comp_right f uniqueDiffOn_univ (mem_univ (g x)) i
#align linear_isometry_equiv.norm_iterated_fderiv_comp_right LinearIsometryEquiv.norm_iteratedFDeriv_comp_right
theorem ContinuousLinearEquiv.contDiffWithinAt_comp_iff (e : G ≃L[𝕜] E) :
ContDiffWithinAt 𝕜 n (f ∘ e) (e ⁻¹' s) (e.symm x) ↔ ContDiffWithinAt 𝕜 n f s x := by
constructor
· intro H
simpa [← preimage_comp, (· ∘ ·)] using H.comp_continuousLinearMap (e.symm : E →L[𝕜] G)
· intro H
rw [← e.apply_symm_apply x, ← e.coe_coe] at H
exact H.comp_continuousLinearMap _
#align continuous_linear_equiv.cont_diff_within_at_comp_iff ContinuousLinearEquiv.contDiffWithinAt_comp_iff
| Mathlib/Analysis/Calculus/ContDiff/Basic.lean | 493 | 496 | theorem ContinuousLinearEquiv.contDiffAt_comp_iff (e : G ≃L[𝕜] E) :
ContDiffAt 𝕜 n (f ∘ e) (e.symm x) ↔ ContDiffAt 𝕜 n f x := by |
rw [← contDiffWithinAt_univ, ← contDiffWithinAt_univ, ← preimage_univ]
exact e.contDiffWithinAt_comp_iff
|
import Mathlib.Analysis.Normed.Group.Basic
#align_import information_theory.hamming from "leanprover-community/mathlib"@"17ef379e997badd73e5eabb4d38f11919ab3c4b3"
section HammingDistNorm
open Finset Function
variable {α ι : Type*} {β : ι → Type*} [Fintype ι] [∀ i, DecidableEq (β i)]
variable {γ : ι → Type*} [∀ i, DecidableEq (γ i)]
def hammingDist (x y : ∀ i, β i) : ℕ :=
(univ.filter fun i => x i ≠ y i).card
#align hamming_dist hammingDist
@[simp]
theorem hammingDist_self (x : ∀ i, β i) : hammingDist x x = 0 := by
rw [hammingDist, card_eq_zero, filter_eq_empty_iff]
exact fun _ _ H => H rfl
#align hamming_dist_self hammingDist_self
theorem hammingDist_nonneg {x y : ∀ i, β i} : 0 ≤ hammingDist x y :=
zero_le _
#align hamming_dist_nonneg hammingDist_nonneg
theorem hammingDist_comm (x y : ∀ i, β i) : hammingDist x y = hammingDist y x := by
simp_rw [hammingDist, ne_comm]
#align hamming_dist_comm hammingDist_comm
theorem hammingDist_triangle (x y z : ∀ i, β i) :
hammingDist x z ≤ hammingDist x y + hammingDist y z := by
classical
unfold hammingDist
refine le_trans (card_mono ?_) (card_union_le _ _)
rw [← filter_or]
exact monotone_filter_right _ fun i h ↦ (h.ne_or_ne _).imp_right Ne.symm
#align hamming_dist_triangle hammingDist_triangle
theorem hammingDist_triangle_left (x y z : ∀ i, β i) :
hammingDist x y ≤ hammingDist z x + hammingDist z y := by
rw [hammingDist_comm z]
exact hammingDist_triangle _ _ _
#align hamming_dist_triangle_left hammingDist_triangle_left
theorem hammingDist_triangle_right (x y z : ∀ i, β i) :
hammingDist x y ≤ hammingDist x z + hammingDist y z := by
rw [hammingDist_comm y]
exact hammingDist_triangle _ _ _
#align hamming_dist_triangle_right hammingDist_triangle_right
theorem swap_hammingDist : swap (@hammingDist _ β _ _) = hammingDist := by
funext x y
exact hammingDist_comm _ _
#align swap_hamming_dist swap_hammingDist
theorem eq_of_hammingDist_eq_zero {x y : ∀ i, β i} : hammingDist x y = 0 → x = y := by
simp_rw [hammingDist, card_eq_zero, filter_eq_empty_iff, Classical.not_not, funext_iff, mem_univ,
forall_true_left, imp_self]
#align eq_of_hamming_dist_eq_zero eq_of_hammingDist_eq_zero
@[simp]
theorem hammingDist_eq_zero {x y : ∀ i, β i} : hammingDist x y = 0 ↔ x = y :=
⟨eq_of_hammingDist_eq_zero, fun H => by
rw [H]
exact hammingDist_self _⟩
#align hamming_dist_eq_zero hammingDist_eq_zero
@[simp]
theorem hamming_zero_eq_dist {x y : ∀ i, β i} : 0 = hammingDist x y ↔ x = y := by
rw [eq_comm, hammingDist_eq_zero]
#align hamming_zero_eq_dist hamming_zero_eq_dist
theorem hammingDist_ne_zero {x y : ∀ i, β i} : hammingDist x y ≠ 0 ↔ x ≠ y :=
hammingDist_eq_zero.not
#align hamming_dist_ne_zero hammingDist_ne_zero
@[simp]
theorem hammingDist_pos {x y : ∀ i, β i} : 0 < hammingDist x y ↔ x ≠ y := by
rw [← hammingDist_ne_zero, iff_not_comm, not_lt, Nat.le_zero]
#align hamming_dist_pos hammingDist_pos
-- @[simp] -- Porting note (#10618): simp can prove this
theorem hammingDist_lt_one {x y : ∀ i, β i} : hammingDist x y < 1 ↔ x = y := by
rw [Nat.lt_one_iff, hammingDist_eq_zero]
#align hamming_dist_lt_one hammingDist_lt_one
theorem hammingDist_le_card_fintype {x y : ∀ i, β i} : hammingDist x y ≤ Fintype.card ι :=
card_le_univ _
#align hamming_dist_le_card_fintype hammingDist_le_card_fintype
theorem hammingDist_comp_le_hammingDist (f : ∀ i, γ i → β i) {x y : ∀ i, γ i} :
(hammingDist (fun i => f i (x i)) fun i => f i (y i)) ≤ hammingDist x y :=
card_mono (monotone_filter_right _ fun i H1 H2 => H1 <| congr_arg (f i) H2)
#align hamming_dist_comp_le_hamming_dist hammingDist_comp_le_hammingDist
theorem hammingDist_comp (f : ∀ i, γ i → β i) {x y : ∀ i, γ i} (hf : ∀ i, Injective (f i)) :
(hammingDist (fun i => f i (x i)) fun i => f i (y i)) = hammingDist x y :=
le_antisymm (hammingDist_comp_le_hammingDist _) <|
card_mono (monotone_filter_right _ fun i H1 H2 => H1 <| hf i H2)
#align hamming_dist_comp hammingDist_comp
theorem hammingDist_smul_le_hammingDist [∀ i, SMul α (β i)] {k : α} {x y : ∀ i, β i} :
hammingDist (k • x) (k • y) ≤ hammingDist x y :=
hammingDist_comp_le_hammingDist fun i => (k • · : β i → β i)
#align hamming_dist_smul_le_hamming_dist hammingDist_smul_le_hammingDist
theorem hammingDist_smul [∀ i, SMul α (β i)] {k : α} {x y : ∀ i, β i}
(hk : ∀ i, IsSMulRegular (β i) k) : hammingDist (k • x) (k • y) = hammingDist x y :=
hammingDist_comp (fun i => (k • · : β i → β i)) hk
#align hamming_dist_smul hammingDist_smul
section Zero
variable [∀ i, Zero (β i)] [∀ i, Zero (γ i)]
def hammingNorm (x : ∀ i, β i) : ℕ :=
(univ.filter (x · ≠ 0)).card
#align hamming_norm hammingNorm
@[simp]
theorem hammingDist_zero_right (x : ∀ i, β i) : hammingDist x 0 = hammingNorm x :=
rfl
#align hamming_dist_zero_right hammingDist_zero_right
@[simp]
theorem hammingDist_zero_left : hammingDist (0 : ∀ i, β i) = hammingNorm :=
funext fun x => by rw [hammingDist_comm, hammingDist_zero_right]
#align hamming_dist_zero_left hammingDist_zero_left
-- @[simp] -- Porting note (#10618): simp can prove this
theorem hammingNorm_nonneg {x : ∀ i, β i} : 0 ≤ hammingNorm x :=
zero_le _
#align hamming_norm_nonneg hammingNorm_nonneg
@[simp]
theorem hammingNorm_zero : hammingNorm (0 : ∀ i, β i) = 0 :=
hammingDist_self _
#align hamming_norm_zero hammingNorm_zero
@[simp]
theorem hammingNorm_eq_zero {x : ∀ i, β i} : hammingNorm x = 0 ↔ x = 0 :=
hammingDist_eq_zero
#align hamming_norm_eq_zero hammingNorm_eq_zero
theorem hammingNorm_ne_zero_iff {x : ∀ i, β i} : hammingNorm x ≠ 0 ↔ x ≠ 0 :=
hammingNorm_eq_zero.not
#align hamming_norm_ne_zero_iff hammingNorm_ne_zero_iff
@[simp]
theorem hammingNorm_pos_iff {x : ∀ i, β i} : 0 < hammingNorm x ↔ x ≠ 0 :=
hammingDist_pos
#align hamming_norm_pos_iff hammingNorm_pos_iff
-- @[simp] -- Porting note (#10618): simp can prove this
theorem hammingNorm_lt_one {x : ∀ i, β i} : hammingNorm x < 1 ↔ x = 0 :=
hammingDist_lt_one
#align hamming_norm_lt_one hammingNorm_lt_one
theorem hammingNorm_le_card_fintype {x : ∀ i, β i} : hammingNorm x ≤ Fintype.card ι :=
hammingDist_le_card_fintype
#align hamming_norm_le_card_fintype hammingNorm_le_card_fintype
theorem hammingNorm_comp_le_hammingNorm (f : ∀ i, γ i → β i) {x : ∀ i, γ i} (hf : ∀ i, f i 0 = 0) :
(hammingNorm fun i => f i (x i)) ≤ hammingNorm x := by
simpa only [← hammingDist_zero_right, hf] using hammingDist_comp_le_hammingDist f (y := fun _ ↦ 0)
#align hamming_norm_comp_le_hamming_norm hammingNorm_comp_le_hammingNorm
| Mathlib/InformationTheory/Hamming.lean | 216 | 218 | theorem hammingNorm_comp (f : ∀ i, γ i → β i) {x : ∀ i, γ i} (hf₁ : ∀ i, Injective (f i))
(hf₂ : ∀ i, f i 0 = 0) : (hammingNorm fun i => f i (x i)) = hammingNorm x := by |
simpa only [← hammingDist_zero_right, hf₂] using hammingDist_comp f hf₁ (y := fun _ ↦ 0)
|
import Mathlib.Geometry.Manifold.MFDeriv.FDeriv
noncomputable section
open scoped Manifold
open Bundle Set Topology
section SpecificFunctions
variable {𝕜 : Type*} [NontriviallyNormedField 𝕜] {E : Type*} [NormedAddCommGroup E]
[NormedSpace 𝕜 E] {H : Type*} [TopologicalSpace H] (I : ModelWithCorners 𝕜 E H) {M : Type*}
[TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] {E' : Type*}
[NormedAddCommGroup E'] [NormedSpace 𝕜 E'] {H' : Type*} [TopologicalSpace H']
(I' : ModelWithCorners 𝕜 E' H') {M' : Type*} [TopologicalSpace M'] [ChartedSpace H' M']
[SmoothManifoldWithCorners I' M'] {E'' : Type*} [NormedAddCommGroup E''] [NormedSpace 𝕜 E'']
{H'' : Type*} [TopologicalSpace H''] (I'' : ModelWithCorners 𝕜 E'' H'') {M'' : Type*}
[TopologicalSpace M''] [ChartedSpace H'' M''] [SmoothManifoldWithCorners I'' M'']
variable {s : Set M} {x : M}
section Prod
theorem hasMFDerivAt_fst (x : M × M') :
HasMFDerivAt (I.prod I') I Prod.fst x
(ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) := by
refine ⟨continuous_fst.continuousAt, ?_⟩
have :
∀ᶠ y in 𝓝[range (I.prod I')] extChartAt (I.prod I') x x,
(extChartAt I x.1 ∘ Prod.fst ∘ (extChartAt (I.prod I') x).symm) y = y.1 := by
filter_upwards [extChartAt_target_mem_nhdsWithin (I.prod I') x] with y hy
rw [extChartAt_prod] at hy
exact (extChartAt I x.1).right_inv hy.1
apply HasFDerivWithinAt.congr_of_eventuallyEq hasFDerivWithinAt_fst this
-- Porting note: next line was `simp only [mfld_simps]`
exact (extChartAt I x.1).right_inv <| (extChartAt I x.1).map_source (mem_extChartAt_source _ _)
#align has_mfderiv_at_fst hasMFDerivAt_fst
theorem hasMFDerivWithinAt_fst (s : Set (M × M')) (x : M × M') :
HasMFDerivWithinAt (I.prod I') I Prod.fst s x
(ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) :=
(hasMFDerivAt_fst I I' x).hasMFDerivWithinAt
#align has_mfderiv_within_at_fst hasMFDerivWithinAt_fst
theorem mdifferentiableAt_fst {x : M × M'} : MDifferentiableAt (I.prod I') I Prod.fst x :=
(hasMFDerivAt_fst I I' x).mdifferentiableAt
#align mdifferentiable_at_fst mdifferentiableAt_fst
theorem mdifferentiableWithinAt_fst {s : Set (M × M')} {x : M × M'} :
MDifferentiableWithinAt (I.prod I') I Prod.fst s x :=
(mdifferentiableAt_fst I I').mdifferentiableWithinAt
#align mdifferentiable_within_at_fst mdifferentiableWithinAt_fst
theorem mdifferentiable_fst : MDifferentiable (I.prod I') I (Prod.fst : M × M' → M) := fun _ =>
mdifferentiableAt_fst I I'
#align mdifferentiable_fst mdifferentiable_fst
theorem mdifferentiableOn_fst {s : Set (M × M')} : MDifferentiableOn (I.prod I') I Prod.fst s :=
(mdifferentiable_fst I I').mdifferentiableOn
#align mdifferentiable_on_fst mdifferentiableOn_fst
@[simp, mfld_simps]
theorem mfderiv_fst {x : M × M'} :
mfderiv (I.prod I') I Prod.fst x =
ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) :=
(hasMFDerivAt_fst I I' x).mfderiv
#align mfderiv_fst mfderiv_fst
theorem mfderivWithin_fst {s : Set (M × M')} {x : M × M'}
(hxs : UniqueMDiffWithinAt (I.prod I') s x) :
mfderivWithin (I.prod I') I Prod.fst s x =
ContinuousLinearMap.fst 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) := by
rw [MDifferentiable.mfderivWithin (mdifferentiableAt_fst I I') hxs]; exact mfderiv_fst I I'
#align mfderiv_within_fst mfderivWithin_fst
@[simp, mfld_simps]
theorem tangentMap_prod_fst {p : TangentBundle (I.prod I') (M × M')} :
tangentMap (I.prod I') I Prod.fst p = ⟨p.proj.1, p.2.1⟩ := by
-- Porting note: `rfl` wasn't needed
simp [tangentMap]; rfl
#align tangent_map_prod_fst tangentMap_prod_fst
theorem tangentMapWithin_prod_fst {s : Set (M × M')} {p : TangentBundle (I.prod I') (M × M')}
(hs : UniqueMDiffWithinAt (I.prod I') s p.proj) :
tangentMapWithin (I.prod I') I Prod.fst s p = ⟨p.proj.1, p.2.1⟩ := by
simp only [tangentMapWithin]
rw [mfderivWithin_fst]
· rcases p with ⟨⟩; rfl
· exact hs
#align tangent_map_within_prod_fst tangentMapWithin_prod_fst
theorem hasMFDerivAt_snd (x : M × M') :
HasMFDerivAt (I.prod I') I' Prod.snd x
(ContinuousLinearMap.snd 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) := by
refine ⟨continuous_snd.continuousAt, ?_⟩
have :
∀ᶠ y in 𝓝[range (I.prod I')] extChartAt (I.prod I') x x,
(extChartAt I' x.2 ∘ Prod.snd ∘ (extChartAt (I.prod I') x).symm) y = y.2 := by
filter_upwards [extChartAt_target_mem_nhdsWithin (I.prod I') x] with y hy
rw [extChartAt_prod] at hy
exact (extChartAt I' x.2).right_inv hy.2
apply HasFDerivWithinAt.congr_of_eventuallyEq hasFDerivWithinAt_snd this
-- Porting note: the next line was `simp only [mfld_simps]`
exact (extChartAt I' x.2).right_inv <| (extChartAt I' x.2).map_source (mem_extChartAt_source _ _)
#align has_mfderiv_at_snd hasMFDerivAt_snd
theorem hasMFDerivWithinAt_snd (s : Set (M × M')) (x : M × M') :
HasMFDerivWithinAt (I.prod I') I' Prod.snd s x
(ContinuousLinearMap.snd 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2)) :=
(hasMFDerivAt_snd I I' x).hasMFDerivWithinAt
#align has_mfderiv_within_at_snd hasMFDerivWithinAt_snd
theorem mdifferentiableAt_snd {x : M × M'} : MDifferentiableAt (I.prod I') I' Prod.snd x :=
(hasMFDerivAt_snd I I' x).mdifferentiableAt
#align mdifferentiable_at_snd mdifferentiableAt_snd
theorem mdifferentiableWithinAt_snd {s : Set (M × M')} {x : M × M'} :
MDifferentiableWithinAt (I.prod I') I' Prod.snd s x :=
(mdifferentiableAt_snd I I').mdifferentiableWithinAt
#align mdifferentiable_within_at_snd mdifferentiableWithinAt_snd
theorem mdifferentiable_snd : MDifferentiable (I.prod I') I' (Prod.snd : M × M' → M') := fun _ =>
mdifferentiableAt_snd I I'
#align mdifferentiable_snd mdifferentiable_snd
theorem mdifferentiableOn_snd {s : Set (M × M')} : MDifferentiableOn (I.prod I') I' Prod.snd s :=
(mdifferentiable_snd I I').mdifferentiableOn
#align mdifferentiable_on_snd mdifferentiableOn_snd
@[simp, mfld_simps]
theorem mfderiv_snd {x : M × M'} :
mfderiv (I.prod I') I' Prod.snd x =
ContinuousLinearMap.snd 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) :=
(hasMFDerivAt_snd I I' x).mfderiv
#align mfderiv_snd mfderiv_snd
theorem mfderivWithin_snd {s : Set (M × M')} {x : M × M'}
(hxs : UniqueMDiffWithinAt (I.prod I') s x) :
mfderivWithin (I.prod I') I' Prod.snd s x =
ContinuousLinearMap.snd 𝕜 (TangentSpace I x.1) (TangentSpace I' x.2) := by
rw [MDifferentiable.mfderivWithin (mdifferentiableAt_snd I I') hxs]; exact mfderiv_snd I I'
#align mfderiv_within_snd mfderivWithin_snd
@[simp, mfld_simps]
theorem tangentMap_prod_snd {p : TangentBundle (I.prod I') (M × M')} :
tangentMap (I.prod I') I' Prod.snd p = ⟨p.proj.2, p.2.2⟩ := by
-- Porting note: `rfl` wasn't needed
simp [tangentMap]; rfl
#align tangent_map_prod_snd tangentMap_prod_snd
| Mathlib/Geometry/Manifold/MFDeriv/SpecificFunctions.lean | 363 | 369 | theorem tangentMapWithin_prod_snd {s : Set (M × M')} {p : TangentBundle (I.prod I') (M × M')}
(hs : UniqueMDiffWithinAt (I.prod I') s p.proj) :
tangentMapWithin (I.prod I') I' Prod.snd s p = ⟨p.proj.2, p.2.2⟩ := by |
simp only [tangentMapWithin]
rw [mfderivWithin_snd]
· rcases p with ⟨⟩; rfl
· exact hs
|
import Mathlib.Data.ENNReal.Operations
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open Set NNReal
namespace ENNReal
noncomputable section Inv
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
protected theorem div_eq_inv_mul : a / b = b⁻¹ * a := by rw [div_eq_mul_inv, mul_comm]
#align ennreal.div_eq_inv_mul ENNReal.div_eq_inv_mul
@[simp] theorem inv_zero : (0 : ℝ≥0∞)⁻¹ = ∞ :=
show sInf { b : ℝ≥0∞ | 1 ≤ 0 * b } = ∞ by simp
#align ennreal.inv_zero ENNReal.inv_zero
@[simp] theorem inv_top : ∞⁻¹ = 0 :=
bot_unique <| le_of_forall_le_of_dense fun a (h : 0 < a) => sInf_le <| by simp [*, h.ne', top_mul]
#align ennreal.inv_top ENNReal.inv_top
theorem coe_inv_le : (↑r⁻¹ : ℝ≥0∞) ≤ (↑r)⁻¹ :=
le_sInf fun b (hb : 1 ≤ ↑r * b) =>
coe_le_iff.2 <| by
rintro b rfl
apply NNReal.inv_le_of_le_mul
rwa [← coe_mul, ← coe_one, coe_le_coe] at hb
#align ennreal.coe_inv_le ENNReal.coe_inv_le
@[simp, norm_cast]
theorem coe_inv (hr : r ≠ 0) : (↑r⁻¹ : ℝ≥0∞) = (↑r)⁻¹ :=
coe_inv_le.antisymm <| sInf_le <| mem_setOf.2 <| by rw [← coe_mul, mul_inv_cancel hr, coe_one]
#align ennreal.coe_inv ENNReal.coe_inv
@[norm_cast]
theorem coe_inv_two : ((2⁻¹ : ℝ≥0) : ℝ≥0∞) = 2⁻¹ := by rw [coe_inv _root_.two_ne_zero, coe_two]
#align ennreal.coe_inv_two ENNReal.coe_inv_two
@[simp, norm_cast]
theorem coe_div (hr : r ≠ 0) : (↑(p / r) : ℝ≥0∞) = p / r := by
rw [div_eq_mul_inv, div_eq_mul_inv, coe_mul, coe_inv hr]
#align ennreal.coe_div ENNReal.coe_div
lemma coe_div_le : ↑(p / r) ≤ (p / r : ℝ≥0∞) := by
simpa only [div_eq_mul_inv, coe_mul] using mul_le_mul_left' coe_inv_le _
theorem div_zero (h : a ≠ 0) : a / 0 = ∞ := by simp [div_eq_mul_inv, h]
#align ennreal.div_zero ENNReal.div_zero
instance : DivInvOneMonoid ℝ≥0∞ :=
{ inferInstanceAs (DivInvMonoid ℝ≥0∞) with
inv_one := by simpa only [coe_inv one_ne_zero, coe_one] using coe_inj.2 inv_one }
protected theorem inv_pow : ∀ {a : ℝ≥0∞} {n : ℕ}, (a ^ n)⁻¹ = a⁻¹ ^ n
| _, 0 => by simp only [pow_zero, inv_one]
| ⊤, n + 1 => by simp [top_pow]
| (a : ℝ≥0), n + 1 => by
rcases eq_or_ne a 0 with (rfl | ha)
· simp [top_pow]
· have := pow_ne_zero (n + 1) ha
norm_cast
rw [inv_pow]
#align ennreal.inv_pow ENNReal.inv_pow
protected theorem mul_inv_cancel (h0 : a ≠ 0) (ht : a ≠ ∞) : a * a⁻¹ = 1 := by
lift a to ℝ≥0 using ht
norm_cast at h0; norm_cast
exact mul_inv_cancel h0
#align ennreal.mul_inv_cancel ENNReal.mul_inv_cancel
protected theorem inv_mul_cancel (h0 : a ≠ 0) (ht : a ≠ ∞) : a⁻¹ * a = 1 :=
mul_comm a a⁻¹ ▸ ENNReal.mul_inv_cancel h0 ht
#align ennreal.inv_mul_cancel ENNReal.inv_mul_cancel
protected theorem div_mul_cancel (h0 : a ≠ 0) (hI : a ≠ ∞) : b / a * a = b := by
rw [div_eq_mul_inv, mul_assoc, ENNReal.inv_mul_cancel h0 hI, mul_one]
#align ennreal.div_mul_cancel ENNReal.div_mul_cancel
protected theorem mul_div_cancel' (h0 : a ≠ 0) (hI : a ≠ ∞) : a * (b / a) = b := by
rw [mul_comm, ENNReal.div_mul_cancel h0 hI]
#align ennreal.mul_div_cancel' ENNReal.mul_div_cancel'
-- Porting note: `simp only [div_eq_mul_inv, mul_comm, mul_assoc]` doesn't work in the following two
protected theorem mul_comm_div : a / b * c = a * (c / b) := by
simp only [div_eq_mul_inv, mul_right_comm, ← mul_assoc]
#align ennreal.mul_comm_div ENNReal.mul_comm_div
protected theorem mul_div_right_comm : a * b / c = a / c * b := by
simp only [div_eq_mul_inv, mul_right_comm]
#align ennreal.mul_div_right_comm ENNReal.mul_div_right_comm
instance : InvolutiveInv ℝ≥0∞ where
inv_inv a := by
by_cases a = 0 <;> cases a <;> simp_all [none_eq_top, some_eq_coe, -coe_inv, (coe_inv _).symm]
@[simp] protected lemma inv_eq_one : a⁻¹ = 1 ↔ a = 1 := by rw [← inv_inj, inv_inv, inv_one]
@[simp] theorem inv_eq_top : a⁻¹ = ∞ ↔ a = 0 := inv_zero ▸ inv_inj
#align ennreal.inv_eq_top ENNReal.inv_eq_top
theorem inv_ne_top : a⁻¹ ≠ ∞ ↔ a ≠ 0 := by simp
#align ennreal.inv_ne_top ENNReal.inv_ne_top
@[simp]
theorem inv_lt_top {x : ℝ≥0∞} : x⁻¹ < ∞ ↔ 0 < x := by
simp only [lt_top_iff_ne_top, inv_ne_top, pos_iff_ne_zero]
#align ennreal.inv_lt_top ENNReal.inv_lt_top
theorem div_lt_top {x y : ℝ≥0∞} (h1 : x ≠ ∞) (h2 : y ≠ 0) : x / y < ∞ :=
mul_lt_top h1 (inv_ne_top.mpr h2)
#align ennreal.div_lt_top ENNReal.div_lt_top
@[simp]
protected theorem inv_eq_zero : a⁻¹ = 0 ↔ a = ∞ :=
inv_top ▸ inv_inj
#align ennreal.inv_eq_zero ENNReal.inv_eq_zero
protected theorem inv_ne_zero : a⁻¹ ≠ 0 ↔ a ≠ ∞ := by simp
#align ennreal.inv_ne_zero ENNReal.inv_ne_zero
protected theorem div_pos (ha : a ≠ 0) (hb : b ≠ ∞) : 0 < a / b :=
ENNReal.mul_pos ha <| ENNReal.inv_ne_zero.2 hb
#align ennreal.div_pos ENNReal.div_pos
protected theorem mul_inv {a b : ℝ≥0∞} (ha : a ≠ 0 ∨ b ≠ ∞) (hb : a ≠ ∞ ∨ b ≠ 0) :
(a * b)⁻¹ = a⁻¹ * b⁻¹ := by
induction' b with b
· replace ha : a ≠ 0 := ha.neg_resolve_right rfl
simp [ha]
induction' a with a
· replace hb : b ≠ 0 := coe_ne_zero.1 (hb.neg_resolve_left rfl)
simp [hb]
by_cases h'a : a = 0
· simp only [h'a, top_mul, ENNReal.inv_zero, ENNReal.coe_ne_top, zero_mul, Ne,
not_false_iff, ENNReal.coe_zero, ENNReal.inv_eq_zero]
by_cases h'b : b = 0
· simp only [h'b, ENNReal.inv_zero, ENNReal.coe_ne_top, mul_top, Ne, not_false_iff,
mul_zero, ENNReal.coe_zero, ENNReal.inv_eq_zero]
rw [← ENNReal.coe_mul, ← ENNReal.coe_inv, ← ENNReal.coe_inv h'a, ← ENNReal.coe_inv h'b, ←
ENNReal.coe_mul, mul_inv_rev, mul_comm]
simp [h'a, h'b]
#align ennreal.mul_inv ENNReal.mul_inv
protected theorem mul_div_mul_left (a b : ℝ≥0∞) (hc : c ≠ 0) (hc' : c ≠ ⊤) :
c * a / (c * b) = a / b := by
rw [div_eq_mul_inv, div_eq_mul_inv, ENNReal.mul_inv (Or.inl hc) (Or.inl hc'), mul_mul_mul_comm,
ENNReal.mul_inv_cancel hc hc', one_mul]
#align ennreal.mul_div_mul_left ENNReal.mul_div_mul_left
protected theorem mul_div_mul_right (a b : ℝ≥0∞) (hc : c ≠ 0) (hc' : c ≠ ⊤) :
a * c / (b * c) = a / b := by
rw [div_eq_mul_inv, div_eq_mul_inv, ENNReal.mul_inv (Or.inr hc') (Or.inr hc), mul_mul_mul_comm,
ENNReal.mul_inv_cancel hc hc', mul_one]
#align ennreal.mul_div_mul_right ENNReal.mul_div_mul_right
protected theorem sub_div (h : 0 < b → b < a → c ≠ 0) : (a - b) / c = a / c - b / c := by
simp_rw [div_eq_mul_inv]
exact ENNReal.sub_mul (by simpa using h)
#align ennreal.sub_div ENNReal.sub_div
@[simp]
protected theorem inv_pos : 0 < a⁻¹ ↔ a ≠ ∞ :=
pos_iff_ne_zero.trans ENNReal.inv_ne_zero
#align ennreal.inv_pos ENNReal.inv_pos
theorem inv_strictAnti : StrictAnti (Inv.inv : ℝ≥0∞ → ℝ≥0∞) := by
intro a b h
lift a to ℝ≥0 using h.ne_top
induction b; · simp
rw [coe_lt_coe] at h
rcases eq_or_ne a 0 with (rfl | ha); · simp [h]
rw [← coe_inv h.ne_bot, ← coe_inv ha, coe_lt_coe]
exact NNReal.inv_lt_inv ha h
#align ennreal.inv_strict_anti ENNReal.inv_strictAnti
@[simp]
protected theorem inv_lt_inv : a⁻¹ < b⁻¹ ↔ b < a :=
inv_strictAnti.lt_iff_lt
#align ennreal.inv_lt_inv ENNReal.inv_lt_inv
theorem inv_lt_iff_inv_lt : a⁻¹ < b ↔ b⁻¹ < a := by
simpa only [inv_inv] using @ENNReal.inv_lt_inv a b⁻¹
#align ennreal.inv_lt_iff_inv_lt ENNReal.inv_lt_iff_inv_lt
theorem lt_inv_iff_lt_inv : a < b⁻¹ ↔ b < a⁻¹ := by
simpa only [inv_inv] using @ENNReal.inv_lt_inv a⁻¹ b
#align ennreal.lt_inv_iff_lt_inv ENNReal.lt_inv_iff_lt_inv
@[simp]
protected theorem inv_le_inv : a⁻¹ ≤ b⁻¹ ↔ b ≤ a :=
inv_strictAnti.le_iff_le
#align ennreal.inv_le_inv ENNReal.inv_le_inv
theorem inv_le_iff_inv_le : a⁻¹ ≤ b ↔ b⁻¹ ≤ a := by
simpa only [inv_inv] using @ENNReal.inv_le_inv a b⁻¹
#align ennreal.inv_le_iff_inv_le ENNReal.inv_le_iff_inv_le
theorem le_inv_iff_le_inv : a ≤ b⁻¹ ↔ b ≤ a⁻¹ := by
simpa only [inv_inv] using @ENNReal.inv_le_inv a⁻¹ b
#align ennreal.le_inv_iff_le_inv ENNReal.le_inv_iff_le_inv
@[gcongr] protected theorem inv_le_inv' (h : a ≤ b) : b⁻¹ ≤ a⁻¹ :=
ENNReal.inv_strictAnti.antitone h
@[gcongr] protected theorem inv_lt_inv' (h : a < b) : b⁻¹ < a⁻¹ := ENNReal.inv_strictAnti h
@[simp]
protected theorem inv_le_one : a⁻¹ ≤ 1 ↔ 1 ≤ a := by rw [inv_le_iff_inv_le, inv_one]
#align ennreal.inv_le_one ENNReal.inv_le_one
protected theorem one_le_inv : 1 ≤ a⁻¹ ↔ a ≤ 1 := by rw [le_inv_iff_le_inv, inv_one]
#align ennreal.one_le_inv ENNReal.one_le_inv
@[simp]
protected theorem inv_lt_one : a⁻¹ < 1 ↔ 1 < a := by rw [inv_lt_iff_inv_lt, inv_one]
#align ennreal.inv_lt_one ENNReal.inv_lt_one
@[simp]
protected theorem one_lt_inv : 1 < a⁻¹ ↔ a < 1 := by rw [lt_inv_iff_lt_inv, inv_one]
#align ennreal.one_lt_inv ENNReal.one_lt_inv
@[simps! apply]
def _root_.OrderIso.invENNReal : ℝ≥0∞ ≃o ℝ≥0∞ᵒᵈ where
map_rel_iff' := ENNReal.inv_le_inv
toEquiv := (Equiv.inv ℝ≥0∞).trans OrderDual.toDual
#align order_iso.inv_ennreal OrderIso.invENNReal
#align order_iso.inv_ennreal_apply OrderIso.invENNReal_apply
@[simp]
theorem _root_.OrderIso.invENNReal_symm_apply (a : ℝ≥0∞ᵒᵈ) :
OrderIso.invENNReal.symm a = (OrderDual.ofDual a)⁻¹ :=
rfl
#align order_iso.inv_ennreal_symm_apply OrderIso.invENNReal_symm_apply
@[simp] theorem div_top : a / ∞ = 0 := by rw [div_eq_mul_inv, inv_top, mul_zero]
#align ennreal.div_top ENNReal.div_top
-- Porting note: reordered 4 lemmas
theorem top_div : ∞ / a = if a = ∞ then 0 else ∞ := by simp [div_eq_mul_inv, top_mul']
#align ennreal.top_div ENNReal.top_div
theorem top_div_of_ne_top (h : a ≠ ∞) : ∞ / a = ∞ := by simp [top_div, h]
#align ennreal.top_div_of_ne_top ENNReal.top_div_of_ne_top
@[simp] theorem top_div_coe : ∞ / p = ∞ := top_div_of_ne_top coe_ne_top
#align ennreal.top_div_coe ENNReal.top_div_coe
theorem top_div_of_lt_top (h : a < ∞) : ∞ / a = ∞ := top_div_of_ne_top h.ne
#align ennreal.top_div_of_lt_top ENNReal.top_div_of_lt_top
@[simp] protected theorem zero_div : 0 / a = 0 := zero_mul a⁻¹
#align ennreal.zero_div ENNReal.zero_div
theorem div_eq_top : a / b = ∞ ↔ a ≠ 0 ∧ b = 0 ∨ a = ∞ ∧ b ≠ ∞ := by
simp [div_eq_mul_inv, ENNReal.mul_eq_top]
#align ennreal.div_eq_top ENNReal.div_eq_top
protected theorem le_div_iff_mul_le (h0 : b ≠ 0 ∨ c ≠ 0) (ht : b ≠ ∞ ∨ c ≠ ∞) :
a ≤ c / b ↔ a * b ≤ c := by
induction' b with b
· lift c to ℝ≥0 using ht.neg_resolve_left rfl
rw [div_top, nonpos_iff_eq_zero]
rcases eq_or_ne a 0 with (rfl | ha) <;> simp [*]
rcases eq_or_ne b 0 with (rfl | hb)
· have hc : c ≠ 0 := h0.neg_resolve_left rfl
simp [div_zero hc]
· rw [← coe_ne_zero] at hb
rw [← ENNReal.mul_le_mul_right hb coe_ne_top, ENNReal.div_mul_cancel hb coe_ne_top]
#align ennreal.le_div_iff_mul_le ENNReal.le_div_iff_mul_le
protected theorem div_le_iff_le_mul (hb0 : b ≠ 0 ∨ c ≠ ∞) (hbt : b ≠ ∞ ∨ c ≠ 0) :
a / b ≤ c ↔ a ≤ c * b := by
suffices a * b⁻¹ ≤ c ↔ a ≤ c / b⁻¹ by simpa [div_eq_mul_inv]
refine (ENNReal.le_div_iff_mul_le ?_ ?_).symm <;> simpa
#align ennreal.div_le_iff_le_mul ENNReal.div_le_iff_le_mul
protected theorem lt_div_iff_mul_lt (hb0 : b ≠ 0 ∨ c ≠ ∞) (hbt : b ≠ ∞ ∨ c ≠ 0) :
c < a / b ↔ c * b < a :=
lt_iff_lt_of_le_iff_le (ENNReal.div_le_iff_le_mul hb0 hbt)
#align ennreal.lt_div_iff_mul_lt ENNReal.lt_div_iff_mul_lt
theorem div_le_of_le_mul (h : a ≤ b * c) : a / c ≤ b := by
by_cases h0 : c = 0
· have : a = 0 := by simpa [h0] using h
simp [*]
by_cases hinf : c = ∞; · simp [hinf]
exact (ENNReal.div_le_iff_le_mul (Or.inl h0) (Or.inl hinf)).2 h
#align ennreal.div_le_of_le_mul ENNReal.div_le_of_le_mul
theorem div_le_of_le_mul' (h : a ≤ b * c) : a / b ≤ c :=
div_le_of_le_mul <| mul_comm b c ▸ h
#align ennreal.div_le_of_le_mul' ENNReal.div_le_of_le_mul'
protected theorem div_self_le_one : a / a ≤ 1 := div_le_of_le_mul <| by rw [one_mul]
| Mathlib/Data/ENNReal/Inv.lean | 330 | 332 | theorem mul_le_of_le_div (h : a ≤ b / c) : a * c ≤ b := by |
rw [← inv_inv c]
exact div_le_of_le_mul h
|
import Mathlib.Order.Cover
import Mathlib.Order.LatticeIntervals
import Mathlib.Order.GaloisConnection
#align_import order.modular_lattice from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
open Set
variable {α : Type*}
class IsWeakUpperModularLattice (α : Type*) [Lattice α] : Prop where
covBy_sup_of_inf_covBy_covBy {a b : α} : a ⊓ b ⋖ a → a ⊓ b ⋖ b → a ⋖ a ⊔ b
#align is_weak_upper_modular_lattice IsWeakUpperModularLattice
class IsWeakLowerModularLattice (α : Type*) [Lattice α] : Prop where
inf_covBy_of_covBy_covBy_sup {a b : α} : a ⋖ a ⊔ b → b ⋖ a ⊔ b → a ⊓ b ⋖ a
#align is_weak_lower_modular_lattice IsWeakLowerModularLattice
class IsUpperModularLattice (α : Type*) [Lattice α] : Prop where
covBy_sup_of_inf_covBy {a b : α} : a ⊓ b ⋖ a → b ⋖ a ⊔ b
#align is_upper_modular_lattice IsUpperModularLattice
class IsLowerModularLattice (α : Type*) [Lattice α] : Prop where
inf_covBy_of_covBy_sup {a b : α} : a ⋖ a ⊔ b → a ⊓ b ⋖ b
#align is_lower_modular_lattice IsLowerModularLattice
class IsModularLattice (α : Type*) [Lattice α] : Prop where
sup_inf_le_assoc_of_le : ∀ {x : α} (y : α) {z : α}, x ≤ z → (x ⊔ y) ⊓ z ≤ x ⊔ y ⊓ z
#align is_modular_lattice IsModularLattice
section IsModularLattice
variable [Lattice α] [IsModularLattice α]
theorem sup_inf_assoc_of_le {x : α} (y : α) {z : α} (h : x ≤ z) : (x ⊔ y) ⊓ z = x ⊔ y ⊓ z :=
le_antisymm (IsModularLattice.sup_inf_le_assoc_of_le y h)
(le_inf (sup_le_sup_left inf_le_left _) (sup_le h inf_le_right))
#align sup_inf_assoc_of_le sup_inf_assoc_of_le
theorem IsModularLattice.inf_sup_inf_assoc {x y z : α} : x ⊓ z ⊔ y ⊓ z = (x ⊓ z ⊔ y) ⊓ z :=
(sup_inf_assoc_of_le y inf_le_right).symm
#align is_modular_lattice.inf_sup_inf_assoc IsModularLattice.inf_sup_inf_assoc
| Mathlib/Order/ModularLattice.lean | 216 | 217 | theorem inf_sup_assoc_of_le {x : α} (y : α) {z : α} (h : z ≤ x) : x ⊓ y ⊔ z = x ⊓ (y ⊔ z) := by |
rw [inf_comm, sup_comm, ← sup_inf_assoc_of_le y h, inf_comm, sup_comm]
|
import Mathlib.Topology.Sets.Opens
#align_import topology.local_at_target from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open TopologicalSpace Set Filter
open Topology Filter
variable {α β : Type*} [TopologicalSpace α] [TopologicalSpace β] {f : α → β}
variable {s : Set β} {ι : Type*} {U : ι → Opens β} (hU : iSup U = ⊤)
theorem Set.restrictPreimage_inducing (s : Set β) (h : Inducing f) :
Inducing (s.restrictPreimage f) := by
simp_rw [← inducing_subtype_val.of_comp_iff, inducing_iff_nhds, restrictPreimage,
MapsTo.coe_restrict, restrict_eq, ← @Filter.comap_comap _ _ _ _ _ f, Function.comp_apply] at h ⊢
intro a
rw [← h, ← inducing_subtype_val.nhds_eq_comap]
#align set.restrict_preimage_inducing Set.restrictPreimage_inducing
alias Inducing.restrictPreimage := Set.restrictPreimage_inducing
#align inducing.restrict_preimage Inducing.restrictPreimage
theorem Set.restrictPreimage_embedding (s : Set β) (h : Embedding f) :
Embedding (s.restrictPreimage f) :=
⟨h.1.restrictPreimage s, h.2.restrictPreimage s⟩
#align set.restrict_preimage_embedding Set.restrictPreimage_embedding
alias Embedding.restrictPreimage := Set.restrictPreimage_embedding
#align embedding.restrict_preimage Embedding.restrictPreimage
theorem Set.restrictPreimage_openEmbedding (s : Set β) (h : OpenEmbedding f) :
OpenEmbedding (s.restrictPreimage f) :=
⟨h.1.restrictPreimage s,
(s.range_restrictPreimage f).symm ▸ continuous_subtype_val.isOpen_preimage _ h.isOpen_range⟩
#align set.restrict_preimage_open_embedding Set.restrictPreimage_openEmbedding
alias OpenEmbedding.restrictPreimage := Set.restrictPreimage_openEmbedding
#align open_embedding.restrict_preimage OpenEmbedding.restrictPreimage
theorem Set.restrictPreimage_closedEmbedding (s : Set β) (h : ClosedEmbedding f) :
ClosedEmbedding (s.restrictPreimage f) :=
⟨h.1.restrictPreimage s,
(s.range_restrictPreimage f).symm ▸ inducing_subtype_val.isClosed_preimage _ h.isClosed_range⟩
#align set.restrict_preimage_closed_embedding Set.restrictPreimage_closedEmbedding
alias ClosedEmbedding.restrictPreimage := Set.restrictPreimage_closedEmbedding
#align closed_embedding.restrict_preimage ClosedEmbedding.restrictPreimage
theorem IsClosedMap.restrictPreimage (H : IsClosedMap f) (s : Set β) :
IsClosedMap (s.restrictPreimage f) := by
intro t
suffices ∀ u, IsClosed u → Subtype.val ⁻¹' u = t →
∃ v, IsClosed v ∧ Subtype.val ⁻¹' v = s.restrictPreimage f '' t by
simpa [isClosed_induced_iff]
exact fun u hu e => ⟨f '' u, H u hu, by simp [← e, image_restrictPreimage]⟩
@[deprecated (since := "2024-04-02")]
theorem Set.restrictPreimage_isClosedMap (s : Set β) (H : IsClosedMap f) :
IsClosedMap (s.restrictPreimage f) := H.restrictPreimage s
theorem IsOpenMap.restrictPreimage (H : IsOpenMap f) (s : Set β) :
IsOpenMap (s.restrictPreimage f) := by
intro t
suffices ∀ u, IsOpen u → Subtype.val ⁻¹' u = t →
∃ v, IsOpen v ∧ Subtype.val ⁻¹' v = s.restrictPreimage f '' t by
simpa [isOpen_induced_iff]
exact fun u hu e => ⟨f '' u, H u hu, by simp [← e, image_restrictPreimage]⟩
@[deprecated (since := "2024-04-02")]
theorem Set.restrictPreimage_isOpenMap (s : Set β) (H : IsOpenMap f) :
IsOpenMap (s.restrictPreimage f) := H.restrictPreimage s
| Mathlib/Topology/LocalAtTarget.lean | 90 | 98 | theorem isOpen_iff_inter_of_iSup_eq_top (s : Set β) : IsOpen s ↔ ∀ i, IsOpen (s ∩ U i) := by |
constructor
· exact fun H i => H.inter (U i).2
· intro H
have : ⋃ i, (U i : Set β) = Set.univ := by
convert congr_arg (SetLike.coe) hU
simp
rw [← s.inter_univ, ← this, Set.inter_iUnion]
exact isOpen_iUnion H
|
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.
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]
-- Porting note (#10756): new theorem.
theorem mapIdxGo_length : ∀ (f : ℕ → α → β) (l : List α) (arr : Array β),
length (mapIdx.go f l arr) = length l + arr.size := by
intro f l
induction' l with head tail ih
· intro; simp only [mapIdx.go, Array.toList_eq, length_nil, Nat.zero_add]
· intro; simp only [mapIdx.go]; rw [ih]; simp only [Array.size_push, length_cons];
simp only [Nat.add_succ, add_zero, Nat.add_comm]
-- Porting note (#10756): new theorem.
theorem mapIdx_append_one : ∀ (f : ℕ → α → β) (l : List α) (e : α),
mapIdx f (l ++ [e]) = mapIdx f l ++ [f l.length e] := by
intros f l e
unfold mapIdx
rw [mapIdxGo_append f l [e]]
simp only [mapIdx.go, Array.size_toArray, mapIdxGo_length, length_nil, Nat.add_zero,
Array.toList_eq, Array.push_data, Array.data_toArray]
-- Porting note (#10756): new theorem.
protected theorem new_def_eq_old_def :
∀ (f : ℕ → α → β) (l : List α), l.mapIdx f = List.oldMapIdx f l := by
intro f
apply list_reverse_induction
· rfl
· intro l e h
rw [List.oldMapIdx_append, mapIdx_append_one, h]
@[local simp]
theorem map_enumFrom_eq_zipWith : ∀ (l : List α) (n : ℕ) (f : ℕ → α → β),
map (uncurry f) (enumFrom n l) = zipWith (fun i ↦ f (i + n)) (range (length l)) l := by
intro l
generalize e : l.length = len
revert l
induction' len with len ih <;> intros l e n f
· have : l = [] := by
cases l
· rfl
· contradiction
rw [this]; rfl
· cases' l with head tail
· contradiction
· simp only [map, uncurry_apply_pair, range_succ_eq_map, zipWith, Nat.zero_add,
zipWith_map_left]
rw [ih]
· suffices (fun i ↦ f (i + (n + 1))) = ((fun i ↦ f (i + n)) ∘ Nat.succ) by
rw [this]
rfl
funext n' a
simp only [comp, Nat.add_assoc, Nat.add_comm, Nat.add_succ]
simp only [length_cons, Nat.succ.injEq] at e; exact e
theorem mapIdx_eq_enum_map (l : List α) (f : ℕ → α → β) :
l.mapIdx f = l.enum.map (Function.uncurry f) := by
rw [List.new_def_eq_old_def]
induction' l with hd tl hl generalizing f
· rfl
· rw [List.oldMapIdx, List.oldMapIdxCore, List.oldMapIdxCore_eq, hl]
simp [map, enum_eq_zip_range, map_uncurry_zip_eq_zipWith]
#align list.map_with_index_eq_enum_map List.mapIdx_eq_enum_map
@[simp]
theorem mapIdx_cons (l : List α) (f : ℕ → α → β) (a : α) :
mapIdx f (a :: l) = f 0 a :: mapIdx (fun i ↦ f (i + 1)) l := by
simp [mapIdx_eq_enum_map, enum_eq_zip_range, map_uncurry_zip_eq_zipWith,
range_succ_eq_map, zipWith_map_left]
#align list.map_with_index_cons List.mapIdx_cons
theorem mapIdx_append (K L : List α) (f : ℕ → α → β) :
(K ++ L).mapIdx f = K.mapIdx f ++ L.mapIdx fun i a ↦ f (i + K.length) a := by
induction' K with a J IH generalizing f
· rfl
· simp [IH fun i ↦ f (i + 1), Nat.add_assoc, Nat.succ_eq_add_one]
#align list.map_with_index_append List.mapIdx_append
@[simp]
theorem length_mapIdx (l : List α) (f : ℕ → α → β) : (l.mapIdx f).length = l.length := by
induction' l with hd tl IH generalizing f
· rfl
· simp [IH]
#align list.length_map_with_index List.length_mapIdx
@[simp]
| Mathlib/Data/List/Indexes.lean | 213 | 214 | theorem mapIdx_eq_nil {f : ℕ → α → β} {l : List α} : List.mapIdx f l = [] ↔ l = [] := by |
rw [List.mapIdx_eq_enum_map, List.map_eq_nil, List.enum_eq_nil]
|
import Mathlib.Algebra.Polynomial.Degree.TrailingDegree
import Mathlib.Algebra.Polynomial.EraseLead
import Mathlib.Algebra.Polynomial.Eval
#align_import data.polynomial.reverse from "leanprover-community/mathlib"@"44de64f183393284a16016dfb2a48ac97382f2bd"
namespace Polynomial
open Polynomial Finsupp Finset
open Polynomial
section Semiring
variable {R : Type*} [Semiring R] {f : R[X]}
def revAtFun (N i : ℕ) : ℕ :=
ite (i ≤ N) (N - i) i
#align polynomial.rev_at_fun Polynomial.revAtFun
theorem revAtFun_invol {N i : ℕ} : revAtFun N (revAtFun N i) = i := by
unfold revAtFun
split_ifs with h j
· exact tsub_tsub_cancel_of_le h
· exfalso
apply j
exact Nat.sub_le N i
· rfl
#align polynomial.rev_at_fun_invol Polynomial.revAtFun_invol
theorem revAtFun_inj {N : ℕ} : Function.Injective (revAtFun N) := by
intro a b hab
rw [← @revAtFun_invol N a, hab, revAtFun_invol]
#align polynomial.rev_at_fun_inj Polynomial.revAtFun_inj
def revAt (N : ℕ) : Function.Embedding ℕ ℕ where
toFun i := ite (i ≤ N) (N - i) i
inj' := revAtFun_inj
#align polynomial.rev_at Polynomial.revAt
@[simp]
theorem revAtFun_eq (N i : ℕ) : revAtFun N i = revAt N i :=
rfl
#align polynomial.rev_at_fun_eq Polynomial.revAtFun_eq
@[simp]
theorem revAt_invol {N i : ℕ} : (revAt N) (revAt N i) = i :=
revAtFun_invol
#align polynomial.rev_at_invol Polynomial.revAt_invol
@[simp]
theorem revAt_le {N i : ℕ} (H : i ≤ N) : revAt N i = N - i :=
if_pos H
#align polynomial.rev_at_le Polynomial.revAt_le
lemma revAt_eq_self_of_lt {N i : ℕ} (h : N < i) : revAt N i = i := by simp [revAt, Nat.not_le.mpr h]
theorem revAt_add {N O n o : ℕ} (hn : n ≤ N) (ho : o ≤ O) :
revAt (N + O) (n + o) = revAt N n + revAt O o := by
rcases Nat.le.dest hn with ⟨n', rfl⟩
rcases Nat.le.dest ho with ⟨o', rfl⟩
repeat' rw [revAt_le (le_add_right rfl.le)]
rw [add_assoc, add_left_comm n' o, ← add_assoc, revAt_le (le_add_right rfl.le)]
repeat' rw [add_tsub_cancel_left]
#align polynomial.rev_at_add Polynomial.revAt_add
-- @[simp] -- Porting note (#10618): simp can prove this
theorem revAt_zero (N : ℕ) : revAt N 0 = N := by simp
#align polynomial.rev_at_zero Polynomial.revAt_zero
noncomputable def reflect (N : ℕ) : R[X] → R[X]
| ⟨f⟩ => ⟨Finsupp.embDomain (revAt N) f⟩
#align polynomial.reflect Polynomial.reflect
theorem reflect_support (N : ℕ) (f : R[X]) :
(reflect N f).support = Finset.image (revAt N) f.support := by
rcases f with ⟨⟩
ext1
simp only [reflect, support_ofFinsupp, support_embDomain, Finset.mem_map, Finset.mem_image]
#align polynomial.reflect_support Polynomial.reflect_support
@[simp]
theorem coeff_reflect (N : ℕ) (f : R[X]) (i : ℕ) : coeff (reflect N f) i = f.coeff (revAt N i) := by
rcases f with ⟨f⟩
simp only [reflect, coeff]
calc
Finsupp.embDomain (revAt N) f i = Finsupp.embDomain (revAt N) f (revAt N (revAt N i)) := by
rw [revAt_invol]
_ = f (revAt N i) := Finsupp.embDomain_apply _ _ _
#align polynomial.coeff_reflect Polynomial.coeff_reflect
@[simp]
theorem reflect_zero {N : ℕ} : reflect N (0 : R[X]) = 0 :=
rfl
#align polynomial.reflect_zero Polynomial.reflect_zero
@[simp]
theorem reflect_eq_zero_iff {N : ℕ} {f : R[X]} : reflect N (f : R[X]) = 0 ↔ f = 0 := by
rw [ofFinsupp_eq_zero, reflect, embDomain_eq_zero, ofFinsupp_eq_zero]
#align polynomial.reflect_eq_zero_iff Polynomial.reflect_eq_zero_iff
@[simp]
theorem reflect_add (f g : R[X]) (N : ℕ) : reflect N (f + g) = reflect N f + reflect N g := by
ext
simp only [coeff_add, coeff_reflect]
#align polynomial.reflect_add Polynomial.reflect_add
@[simp]
theorem reflect_C_mul (f : R[X]) (r : R) (N : ℕ) : reflect N (C r * f) = C r * reflect N f := by
ext
simp only [coeff_reflect, coeff_C_mul]
set_option linter.uppercaseLean3 false in
#align polynomial.reflect_C_mul Polynomial.reflect_C_mul
-- @[simp] -- Porting note (#10618): simp can prove this (once `reflect_monomial` is in simp scope)
theorem reflect_C_mul_X_pow (N n : ℕ) {c : R} : reflect N (C c * X ^ n) = C c * X ^ revAt N n := by
ext
rw [reflect_C_mul, coeff_C_mul, coeff_C_mul, coeff_X_pow, coeff_reflect]
split_ifs with h
· rw [h, revAt_invol, coeff_X_pow_self]
· rw [not_mem_support_iff.mp]
intro a
rw [← one_mul (X ^ n), ← C_1] at a
apply h
rw [← mem_support_C_mul_X_pow a, revAt_invol]
set_option linter.uppercaseLean3 false in
#align polynomial.reflect_C_mul_X_pow Polynomial.reflect_C_mul_X_pow
@[simp]
theorem reflect_C (r : R) (N : ℕ) : reflect N (C r) = C r * X ^ N := by
conv_lhs => rw [← mul_one (C r), ← pow_zero X, reflect_C_mul_X_pow, revAt_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.reflect_C Polynomial.reflect_C
@[simp]
theorem reflect_monomial (N n : ℕ) : reflect N ((X : R[X]) ^ n) = X ^ revAt N n := by
rw [← one_mul (X ^ n), ← one_mul (X ^ revAt N n), ← C_1, reflect_C_mul_X_pow]
#align polynomial.reflect_monomial Polynomial.reflect_monomial
@[simp] lemma reflect_one_X : reflect 1 (X : R[X]) = 1 := by
simpa using reflect_monomial 1 1 (R := R)
theorem reflect_mul_induction (cf cg : ℕ) :
∀ N O : ℕ,
∀ f g : R[X],
f.support.card ≤ cf.succ →
g.support.card ≤ cg.succ →
f.natDegree ≤ N →
g.natDegree ≤ O → reflect (N + O) (f * g) = reflect N f * reflect O g := by
induction' cf with cf hcf
--first induction (left): base case
· induction' cg with cg hcg
-- second induction (right): base case
· intro N O f g Cf Cg Nf Og
rw [← C_mul_X_pow_eq_self Cf, ← C_mul_X_pow_eq_self Cg]
simp_rw [mul_assoc, X_pow_mul, mul_assoc, ← pow_add (X : R[X]), reflect_C_mul,
reflect_monomial, add_comm, revAt_add Nf Og, mul_assoc, X_pow_mul, mul_assoc, ←
pow_add (X : R[X]), add_comm]
-- second induction (right): induction step
· intro N O f g Cf Cg Nf Og
by_cases g0 : g = 0
· rw [g0, reflect_zero, mul_zero, mul_zero, reflect_zero]
rw [← eraseLead_add_C_mul_X_pow g, mul_add, reflect_add, reflect_add, mul_add, hcg, hcg] <;>
try assumption
· exact le_add_left card_support_C_mul_X_pow_le_one
· exact le_trans (natDegree_C_mul_X_pow_le g.leadingCoeff g.natDegree) Og
· exact Nat.lt_succ_iff.mp (gt_of_ge_of_gt Cg (eraseLead_support_card_lt g0))
· exact le_trans eraseLead_natDegree_le_aux Og
--first induction (left): induction step
· intro N O f g Cf Cg Nf Og
by_cases f0 : f = 0
· rw [f0, reflect_zero, zero_mul, zero_mul, reflect_zero]
rw [← eraseLead_add_C_mul_X_pow f, add_mul, reflect_add, reflect_add, add_mul, hcf, hcf] <;>
try assumption
· exact le_add_left card_support_C_mul_X_pow_le_one
· exact le_trans (natDegree_C_mul_X_pow_le f.leadingCoeff f.natDegree) Nf
· exact Nat.lt_succ_iff.mp (gt_of_ge_of_gt Cf (eraseLead_support_card_lt f0))
· exact le_trans eraseLead_natDegree_le_aux Nf
#align polynomial.reflect_mul_induction Polynomial.reflect_mul_induction
@[simp]
theorem reflect_mul (f g : R[X]) {F G : ℕ} (Ff : f.natDegree ≤ F) (Gg : g.natDegree ≤ G) :
reflect (F + G) (f * g) = reflect F f * reflect G g :=
reflect_mul_induction _ _ F G f g f.support.card.le_succ g.support.card.le_succ Ff Gg
#align polynomial.reflect_mul Polynomial.reflect_mul
noncomputable def reverse (f : R[X]) : R[X] :=
reflect f.natDegree f
#align polynomial.reverse Polynomial.reverse
theorem coeff_reverse (f : R[X]) (n : ℕ) : f.reverse.coeff n = f.coeff (revAt f.natDegree n) := by
rw [reverse, coeff_reflect]
#align polynomial.coeff_reverse Polynomial.coeff_reverse
@[simp]
theorem coeff_zero_reverse (f : R[X]) : coeff (reverse f) 0 = leadingCoeff f := by
rw [coeff_reverse, revAt_le (zero_le f.natDegree), tsub_zero, leadingCoeff]
#align polynomial.coeff_zero_reverse Polynomial.coeff_zero_reverse
@[simp]
theorem reverse_zero : reverse (0 : R[X]) = 0 :=
rfl
#align polynomial.reverse_zero Polynomial.reverse_zero
@[simp]
theorem reverse_eq_zero : f.reverse = 0 ↔ f = 0 := by simp [reverse]
#align polynomial.reverse_eq_zero Polynomial.reverse_eq_zero
theorem reverse_natDegree_le (f : R[X]) : f.reverse.natDegree ≤ f.natDegree := by
rw [natDegree_le_iff_degree_le, degree_le_iff_coeff_zero]
intro n hn
rw [Nat.cast_lt] at hn
rw [coeff_reverse, revAt, Function.Embedding.coeFn_mk, if_neg (not_le_of_gt hn),
coeff_eq_zero_of_natDegree_lt hn]
#align polynomial.reverse_nat_degree_le Polynomial.reverse_natDegree_le
theorem natDegree_eq_reverse_natDegree_add_natTrailingDegree (f : R[X]) :
f.natDegree = f.reverse.natDegree + f.natTrailingDegree := by
by_cases hf : f = 0
· rw [hf, reverse_zero, natDegree_zero, natTrailingDegree_zero]
apply le_antisymm
· refine tsub_le_iff_right.mp ?_
apply le_natDegree_of_ne_zero
rw [reverse, coeff_reflect, ← revAt_le f.natTrailingDegree_le_natDegree, revAt_invol]
exact trailingCoeff_nonzero_iff_nonzero.mpr hf
· rw [← le_tsub_iff_left f.reverse_natDegree_le]
apply natTrailingDegree_le_of_ne_zero
have key := mt leadingCoeff_eq_zero.mp (mt reverse_eq_zero.mp hf)
rwa [leadingCoeff, coeff_reverse, revAt_le f.reverse_natDegree_le] at key
#align polynomial.nat_degree_eq_reverse_nat_degree_add_nat_trailing_degree Polynomial.natDegree_eq_reverse_natDegree_add_natTrailingDegree
theorem reverse_natDegree (f : R[X]) : f.reverse.natDegree = f.natDegree - f.natTrailingDegree := by
rw [f.natDegree_eq_reverse_natDegree_add_natTrailingDegree, add_tsub_cancel_right]
#align polynomial.reverse_nat_degree Polynomial.reverse_natDegree
theorem reverse_leadingCoeff (f : R[X]) : f.reverse.leadingCoeff = f.trailingCoeff := by
rw [leadingCoeff, reverse_natDegree, ← revAt_le f.natTrailingDegree_le_natDegree,
coeff_reverse, revAt_invol, trailingCoeff]
#align polynomial.reverse_leading_coeff Polynomial.reverse_leadingCoeff
theorem natTrailingDegree_reverse (f : R[X]) : f.reverse.natTrailingDegree = 0 := by
rw [natTrailingDegree_eq_zero, reverse_eq_zero, coeff_zero_reverse, leadingCoeff_ne_zero]
exact eq_or_ne _ _
#align polynomial.reverse_nat_trailing_degree Polynomial.natTrailingDegree_reverse
theorem reverse_trailingCoeff (f : R[X]) : f.reverse.trailingCoeff = f.leadingCoeff := by
rw [trailingCoeff, natTrailingDegree_reverse, coeff_zero_reverse]
#align polynomial.reverse_trailing_coeff Polynomial.reverse_trailingCoeff
theorem reverse_mul {f g : R[X]} (fg : f.leadingCoeff * g.leadingCoeff ≠ 0) :
reverse (f * g) = reverse f * reverse g := by
unfold reverse
rw [natDegree_mul' fg, reflect_mul f g rfl.le rfl.le]
#align polynomial.reverse_mul Polynomial.reverse_mul
@[simp]
theorem reverse_mul_of_domain {R : Type*} [Ring R] [NoZeroDivisors R] (f g : R[X]) :
reverse (f * g) = reverse f * reverse g := by
by_cases f0 : f = 0
· simp only [f0, zero_mul, reverse_zero]
by_cases g0 : g = 0
· rw [g0, mul_zero, reverse_zero, mul_zero]
simp [reverse_mul, *]
#align polynomial.reverse_mul_of_domain Polynomial.reverse_mul_of_domain
theorem trailingCoeff_mul {R : Type*} [Ring R] [NoZeroDivisors R] (p q : R[X]) :
(p * q).trailingCoeff = p.trailingCoeff * q.trailingCoeff := by
rw [← reverse_leadingCoeff, reverse_mul_of_domain, leadingCoeff_mul, reverse_leadingCoeff,
reverse_leadingCoeff]
#align polynomial.trailing_coeff_mul Polynomial.trailingCoeff_mul
@[simp]
| Mathlib/Algebra/Polynomial/Reverse.lean | 336 | 342 | theorem coeff_one_reverse (f : R[X]) : coeff (reverse f) 1 = nextCoeff f := by |
rw [coeff_reverse, nextCoeff]
split_ifs with hf
· have : coeff f 1 = 0 := coeff_eq_zero_of_natDegree_lt (by simp only [hf, zero_lt_one])
simp [*, revAt]
· rw [revAt_le]
exact Nat.succ_le_iff.2 (pos_iff_ne_zero.2 hf)
|
import Mathlib.Algebra.BigOperators.NatAntidiagonal
import Mathlib.Topology.Algebra.InfiniteSum.Constructions
import Mathlib.Topology.Algebra.Ring.Basic
#align_import topology.algebra.infinite_sum.ring from "leanprover-community/mathlib"@"9a59dcb7a2d06bf55da57b9030169219980660cd"
open Filter Finset Function
open scoped Classical
variable {ι κ R α : Type*}
section NonUnitalNonAssocSemiring
variable [NonUnitalNonAssocSemiring α] [TopologicalSpace α] [TopologicalSemiring α] {f g : ι → α}
{a a₁ a₂ : α}
theorem HasSum.mul_left (a₂) (h : HasSum f a₁) : HasSum (fun i ↦ a₂ * f i) (a₂ * a₁) := by
simpa only using h.map (AddMonoidHom.mulLeft a₂) (continuous_const.mul continuous_id)
#align has_sum.mul_left HasSum.mul_left
theorem HasSum.mul_right (a₂) (hf : HasSum f a₁) : HasSum (fun i ↦ f i * a₂) (a₁ * a₂) := by
simpa only using hf.map (AddMonoidHom.mulRight a₂) (continuous_id.mul continuous_const)
#align has_sum.mul_right HasSum.mul_right
theorem Summable.mul_left (a) (hf : Summable f) : Summable fun i ↦ a * f i :=
(hf.hasSum.mul_left _).summable
#align summable.mul_left Summable.mul_left
theorem Summable.mul_right (a) (hf : Summable f) : Summable fun i ↦ f i * a :=
(hf.hasSum.mul_right _).summable
#align summable.mul_right Summable.mul_right
section CauchyProduct
section HasAntidiagonal
variable {A : Type*} [AddCommMonoid A] [HasAntidiagonal A]
variable [TopologicalSpace α] [NonUnitalNonAssocSemiring α] {f g : A → α}
theorem summable_mul_prod_iff_summable_mul_sigma_antidiagonal :
(Summable fun x : A × A ↦ f x.1 * g x.2) ↔
Summable fun x : Σn : A, antidiagonal n ↦ f (x.2 : A × A).1 * g (x.2 : A × A).2 :=
Finset.sigmaAntidiagonalEquivProd.summable_iff.symm
#align summable_mul_prod_iff_summable_mul_sigma_antidiagonal summable_mul_prod_iff_summable_mul_sigma_antidiagonal
variable [T3Space α] [TopologicalSemiring α]
| Mathlib/Topology/Algebra/InfiniteSum/Ring.lean | 208 | 213 | theorem summable_sum_mul_antidiagonal_of_summable_mul
(h : Summable fun x : A × A ↦ f x.1 * g x.2) :
Summable fun n ↦ ∑ kl ∈ antidiagonal n, f kl.1 * g kl.2 := by |
rw [summable_mul_prod_iff_summable_mul_sigma_antidiagonal] at h
conv => congr; ext; rw [← Finset.sum_finset_coe, ← tsum_fintype]
exact h.sigma' fun n ↦ (hasSum_fintype _).summable
|
import Mathlib.CategoryTheory.Elementwise
import Mathlib.CategoryTheory.Adjunction.Evaluation
import Mathlib.Tactic.CategoryTheory.Elementwise
import Mathlib.CategoryTheory.Adhesive
import Mathlib.CategoryTheory.Sites.ConcreteSheafification
#align_import category_theory.sites.subsheaf from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
universe w v u
open Opposite CategoryTheory
namespace CategoryTheory.GrothendieckTopology
variable {C : Type u} [Category.{v} C] (J : GrothendieckTopology C)
@[ext]
structure Subpresheaf (F : Cᵒᵖ ⥤ Type w) where
obj : ∀ U, Set (F.obj U)
map : ∀ {U V : Cᵒᵖ} (i : U ⟶ V), obj U ⊆ F.map i ⁻¹' obj V
#align category_theory.grothendieck_topology.subpresheaf CategoryTheory.GrothendieckTopology.Subpresheaf
variable {F F' F'' : Cᵒᵖ ⥤ Type w} (G G' : Subpresheaf F)
instance : PartialOrder (Subpresheaf F) :=
PartialOrder.lift Subpresheaf.obj Subpresheaf.ext
instance : Top (Subpresheaf F) :=
⟨⟨fun U => ⊤, @fun U V _ x _ => by aesop_cat⟩⟩
instance : Nonempty (Subpresheaf F) :=
inferInstance
@[simps!]
def Subpresheaf.toPresheaf : Cᵒᵖ ⥤ Type w where
obj U := G.obj U
map := @fun U V i x => ⟨F.map i x, G.map i x.prop⟩
map_id X := by
ext ⟨x, _⟩
dsimp
simp only [FunctorToTypes.map_id_apply]
map_comp := @fun X Y Z i j => by
ext ⟨x, _⟩
dsimp
simp only [FunctorToTypes.map_comp_apply]
#align category_theory.grothendieck_topology.subpresheaf.to_presheaf CategoryTheory.GrothendieckTopology.Subpresheaf.toPresheaf
instance {U} : CoeHead (G.toPresheaf.obj U) (F.obj U) where
coe := Subtype.val
@[simps]
def Subpresheaf.ι : G.toPresheaf ⟶ F where app U x := x
#align category_theory.grothendieck_topology.subpresheaf.ι CategoryTheory.GrothendieckTopology.Subpresheaf.ι
instance : Mono G.ι :=
⟨@fun _ f₁ f₂ e =>
NatTrans.ext f₁ f₂ <|
funext fun U => funext fun x => Subtype.ext <| congr_fun (congr_app e U) x⟩
@[simps]
def Subpresheaf.homOfLe {G G' : Subpresheaf F} (h : G ≤ G') : G.toPresheaf ⟶ G'.toPresheaf where
app U x := ⟨x, h U x.prop⟩
#align category_theory.grothendieck_topology.subpresheaf.hom_of_le CategoryTheory.GrothendieckTopology.Subpresheaf.homOfLe
instance {G G' : Subpresheaf F} (h : G ≤ G') : Mono (Subpresheaf.homOfLe h) :=
⟨fun f₁ f₂ e =>
NatTrans.ext f₁ f₂ <|
funext fun U =>
funext fun x =>
Subtype.ext <| (congr_arg Subtype.val <| (congr_fun (congr_app e U) x : _) : _)⟩
@[reassoc (attr := simp)]
theorem Subpresheaf.homOfLe_ι {G G' : Subpresheaf F} (h : G ≤ G') :
Subpresheaf.homOfLe h ≫ G'.ι = G.ι := by
ext
rfl
#align category_theory.grothendieck_topology.subpresheaf.hom_of_le_ι CategoryTheory.GrothendieckTopology.Subpresheaf.homOfLe_ι
instance : IsIso (Subpresheaf.ι (⊤ : Subpresheaf F)) := by
refine @NatIso.isIso_of_isIso_app _ _ _ _ _ _ _ ?_
intro X
rw [isIso_iff_bijective]
exact ⟨Subtype.coe_injective, fun x => ⟨⟨x, _root_.trivial⟩, rfl⟩⟩
theorem Subpresheaf.eq_top_iff_isIso : G = ⊤ ↔ IsIso G.ι := by
constructor
· rintro rfl
infer_instance
· intro H
ext U x
apply iff_true_iff.mpr
rw [← IsIso.inv_hom_id_apply (G.ι.app U) x]
exact ((inv (G.ι.app U)) x).2
#align category_theory.grothendieck_topology.subpresheaf.eq_top_iff_is_iso CategoryTheory.GrothendieckTopology.Subpresheaf.eq_top_iff_isIso
@[simps!]
def Subpresheaf.lift (f : F' ⟶ F) (hf : ∀ U x, f.app U x ∈ G.obj U) : F' ⟶ G.toPresheaf where
app U x := ⟨f.app U x, hf U x⟩
naturality := by
have := elementwise_of% f.naturality
intros
refine funext fun x => Subtype.ext ?_
simp only [toPresheaf_obj, types_comp_apply]
exact this _ _
#align category_theory.grothendieck_topology.subpresheaf.lift CategoryTheory.GrothendieckTopology.Subpresheaf.lift
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Sites/Subsheaf.lean | 146 | 149 | theorem Subpresheaf.lift_ι (f : F' ⟶ F) (hf : ∀ U x, f.app U x ∈ G.obj U) :
G.lift f hf ≫ G.ι = f := by |
ext
rfl
|
import Mathlib.Analysis.SpecialFunctions.Exp
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Analysis.NormedSpace.Real
#align_import analysis.special_functions.log.basic from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {x y : ℝ}
-- @[pp_nodot] -- Porting note: removed
noncomputable def log (x : ℝ) : ℝ :=
if hx : x = 0 then 0 else expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩
#align real.log Real.log
theorem log_of_ne_zero (hx : x ≠ 0) : log x = expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ :=
dif_neg hx
#align real.log_of_ne_zero Real.log_of_ne_zero
theorem log_of_pos (hx : 0 < x) : log x = expOrderIso.symm ⟨x, hx⟩ := by
rw [log_of_ne_zero hx.ne']
congr
exact abs_of_pos hx
#align real.log_of_pos Real.log_of_pos
| Mathlib/Analysis/SpecialFunctions/Log/Basic.lean | 55 | 56 | theorem exp_log_eq_abs (hx : x ≠ 0) : exp (log x) = |x| := by |
rw [log_of_ne_zero hx, ← coe_expOrderIso_apply, OrderIso.apply_symm_apply, Subtype.coe_mk]
|
import Mathlib.LinearAlgebra.Matrix.BilinearForm
import Mathlib.LinearAlgebra.Matrix.Charpoly.Minpoly
import Mathlib.LinearAlgebra.Determinant
import Mathlib.LinearAlgebra.FiniteDimensional
import Mathlib.LinearAlgebra.Vandermonde
import Mathlib.LinearAlgebra.Trace
import Mathlib.FieldTheory.IsAlgClosed.AlgebraicClosure
import Mathlib.FieldTheory.PrimitiveElement
import Mathlib.FieldTheory.Galois
import Mathlib.RingTheory.PowerBasis
import Mathlib.FieldTheory.Minpoly.MinpolyDiv
#align_import ring_theory.trace from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
universe u v w z
variable {R S T : Type*} [CommRing R] [CommRing S] [CommRing T]
variable [Algebra R S] [Algebra R T]
variable {K L : Type*} [Field K] [Field L] [Algebra K L]
variable {ι κ : Type w} [Fintype ι]
open FiniteDimensional
open LinearMap (BilinForm)
open LinearMap
open Matrix
open scoped Matrix
namespace Algebra
variable (b : Basis ι R S)
variable (R S)
noncomputable def trace : S →ₗ[R] R :=
(LinearMap.trace R S).comp (lmul R S).toLinearMap
#align algebra.trace Algebra.trace
variable {S}
-- Not a `simp` lemma since there are more interesting ways to rewrite `trace R S x`,
-- for example `trace_trace`
theorem trace_apply (x) : trace R S x = LinearMap.trace R S (lmul R S x) :=
rfl
#align algebra.trace_apply Algebra.trace_apply
theorem trace_eq_zero_of_not_exists_basis (h : ¬∃ s : Finset S, Nonempty (Basis s R S)) :
trace R S = 0 := by ext s; simp [trace_apply, LinearMap.trace, h]
#align algebra.trace_eq_zero_of_not_exists_basis Algebra.trace_eq_zero_of_not_exists_basis
variable {R}
-- Can't be a `simp` lemma because it depends on a choice of basis
theorem trace_eq_matrix_trace [DecidableEq ι] (b : Basis ι R S) (s : S) :
trace R S s = Matrix.trace (Algebra.leftMulMatrix b s) := by
rw [trace_apply, LinearMap.trace_eq_matrix_trace _ b, ← toMatrix_lmul_eq]; rfl
#align algebra.trace_eq_matrix_trace Algebra.trace_eq_matrix_trace
theorem trace_algebraMap_of_basis (x : R) : trace R S (algebraMap R S x) = Fintype.card ι • x := by
haveI := Classical.decEq ι
rw [trace_apply, LinearMap.trace_eq_matrix_trace R b, Matrix.trace]
convert Finset.sum_const x
simp [-coe_lmul_eq_mul]
#align algebra.trace_algebra_map_of_basis Algebra.trace_algebraMap_of_basis
@[simp]
theorem trace_algebraMap (x : K) : trace K L (algebraMap K L x) = finrank K L • x := by
by_cases H : ∃ s : Finset L, Nonempty (Basis s K L)
· rw [trace_algebraMap_of_basis H.choose_spec.some, finrank_eq_card_basis H.choose_spec.some]
· simp [trace_eq_zero_of_not_exists_basis K H, finrank_eq_zero_of_not_exists_basis_finset H]
#align algebra.trace_algebra_map Algebra.trace_algebraMap
theorem trace_trace_of_basis [Algebra S T] [IsScalarTower R S T] {ι κ : Type*} [Finite ι]
[Finite κ] (b : Basis ι R S) (c : Basis κ S T) (x : T) :
trace R S (trace S T x) = trace R T x := by
haveI := Classical.decEq ι
haveI := Classical.decEq κ
cases nonempty_fintype ι
cases nonempty_fintype κ
rw [trace_eq_matrix_trace (b.smul c), trace_eq_matrix_trace b, trace_eq_matrix_trace c,
Matrix.trace, Matrix.trace, Matrix.trace, ← Finset.univ_product_univ, Finset.sum_product]
refine Finset.sum_congr rfl fun i _ ↦ ?_
simp only [AlgHom.map_sum, smul_leftMulMatrix, Finset.sum_apply,
Matrix.diag, Finset.sum_apply
i (Finset.univ : Finset κ) fun y => leftMulMatrix b (leftMulMatrix c x y y)]
#align algebra.trace_trace_of_basis Algebra.trace_trace_of_basis
theorem trace_comp_trace_of_basis [Algebra S T] [IsScalarTower R S T] {ι κ : Type*} [Finite ι]
[Finite κ] (b : Basis ι R S) (c : Basis κ S T) :
(trace R S).comp ((trace S T).restrictScalars R) = trace R T := by
ext
rw [LinearMap.comp_apply, LinearMap.restrictScalars_apply, trace_trace_of_basis b c]
#align algebra.trace_comp_trace_of_basis Algebra.trace_comp_trace_of_basis
@[simp]
theorem trace_trace [Algebra K T] [Algebra L T] [IsScalarTower K L T] [FiniteDimensional K L]
[FiniteDimensional L T] (x : T) : trace K L (trace L T x) = trace K T x :=
trace_trace_of_basis (Basis.ofVectorSpace K L) (Basis.ofVectorSpace L T) x
#align algebra.trace_trace Algebra.trace_trace
@[simp]
| Mathlib/RingTheory/Trace.lean | 163 | 165 | theorem trace_comp_trace [Algebra K T] [Algebra L T] [IsScalarTower K L T] [FiniteDimensional K L]
[FiniteDimensional L T] : (trace K L).comp ((trace L T).restrictScalars K) = trace K T := by |
ext; rw [LinearMap.comp_apply, LinearMap.restrictScalars_apply, trace_trace]
|
import Mathlib.RingTheory.Ideal.IsPrimary
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.RingTheory.Polynomial.Quotient
#align_import ring_theory.jacobson_ideal from "leanprover-community/mathlib"@"da420a8c6dd5bdfb85c4ced85c34388f633bc6ff"
universe u v
namespace Ideal
variable {R : Type u} {S : Type v}
open Polynomial
section Jacobson
section Ring
variable [Ring R] [Ring S] {I : Ideal R}
def jacobson (I : Ideal R) : Ideal R :=
sInf { J : Ideal R | I ≤ J ∧ IsMaximal J }
#align ideal.jacobson Ideal.jacobson
theorem le_jacobson : I ≤ jacobson I := fun _ hx => mem_sInf.mpr fun _ hJ => hJ.left hx
#align ideal.le_jacobson Ideal.le_jacobson
@[simp]
theorem jacobson_idem : jacobson (jacobson I) = jacobson I :=
le_antisymm (sInf_le_sInf fun _ hJ => ⟨sInf_le hJ, hJ.2⟩) le_jacobson
#align ideal.jacobson_idem Ideal.jacobson_idem
@[simp]
theorem jacobson_top : jacobson (⊤ : Ideal R) = ⊤ :=
eq_top_iff.2 le_jacobson
#align ideal.jacobson_top Ideal.jacobson_top
@[simp]
theorem jacobson_eq_top_iff : jacobson I = ⊤ ↔ I = ⊤ :=
⟨fun H =>
by_contradiction fun hi => let ⟨M, hm, him⟩ := exists_le_maximal I hi
lt_top_iff_ne_top.1
(lt_of_le_of_lt (show jacobson I ≤ M from sInf_le ⟨him, hm⟩) <|
lt_top_iff_ne_top.2 hm.ne_top) H,
fun H => eq_top_iff.2 <| le_sInf fun _ ⟨hij, _⟩ => H ▸ hij⟩
#align ideal.jacobson_eq_top_iff Ideal.jacobson_eq_top_iff
theorem jacobson_eq_bot : jacobson I = ⊥ → I = ⊥ := fun h => eq_bot_iff.mpr (h ▸ le_jacobson)
#align ideal.jacobson_eq_bot Ideal.jacobson_eq_bot
theorem jacobson_eq_self_of_isMaximal [H : IsMaximal I] : I.jacobson = I :=
le_antisymm (sInf_le ⟨le_of_eq rfl, H⟩) le_jacobson
#align ideal.jacobson_eq_self_of_is_maximal Ideal.jacobson_eq_self_of_isMaximal
instance (priority := 100) jacobson.isMaximal [H : IsMaximal I] : IsMaximal (jacobson I) :=
⟨⟨fun htop => H.1.1 (jacobson_eq_top_iff.1 htop), fun _ hJ =>
H.1.2 _ (lt_of_le_of_lt le_jacobson hJ)⟩⟩
#align ideal.jacobson.is_maximal Ideal.jacobson.isMaximal
theorem mem_jacobson_iff {x : R} : x ∈ jacobson I ↔ ∀ y, ∃ z, z * y * x + z - 1 ∈ I :=
⟨fun hx y =>
by_cases
(fun hxy : I ⊔ span {y * x + 1} = ⊤ =>
let ⟨p, hpi, q, hq, hpq⟩ := Submodule.mem_sup.1 ((eq_top_iff_one _).1 hxy)
let ⟨r, hr⟩ := mem_span_singleton'.1 hq
⟨r, by
-- Porting note: supply `mul_add_one` with explicit variables
rw [mul_assoc, ← mul_add_one r (y * x), hr, ← hpq, ← neg_sub, add_sub_cancel_right]
exact I.neg_mem hpi⟩)
fun hxy : I ⊔ span {y * x + 1} ≠ ⊤ => let ⟨M, hm1, hm2⟩ := exists_le_maximal _ hxy
suffices x ∉ M from (this <| mem_sInf.1 hx ⟨le_trans le_sup_left hm2, hm1⟩).elim
fun hxm => hm1.1.1 <| (eq_top_iff_one _).2 <| add_sub_cancel_left (y * x) 1 ▸
M.sub_mem (le_sup_right.trans hm2 <| subset_span rfl) (M.mul_mem_left _ hxm),
fun hx => mem_sInf.2 fun M ⟨him, hm⟩ => by_contradiction fun hxm =>
let ⟨y, i, hi, df⟩ := hm.exists_inv hxm
let ⟨z, hz⟩ := hx (-y)
hm.1.1 <| (eq_top_iff_one _).2 <| sub_sub_cancel (z * -y * x + z) 1 ▸
M.sub_mem (by
-- Porting note: supply `mul_add_one` with explicit variables
rw [mul_assoc, ← mul_add_one z, neg_mul, ← sub_eq_iff_eq_add.mpr df.symm, neg_sub,
sub_add_cancel]
exact M.mul_mem_left _ hi) <| him hz⟩
#align ideal.mem_jacobson_iff Ideal.mem_jacobson_iff
theorem exists_mul_sub_mem_of_sub_one_mem_jacobson {I : Ideal R} (r : R) (h : r - 1 ∈ jacobson I) :
∃ s, s * r - 1 ∈ I := by
cases' mem_jacobson_iff.1 h 1 with s hs
use s
simpa [mul_sub] using hs
#align ideal.exists_mul_sub_mem_of_sub_one_mem_jacobson Ideal.exists_mul_sub_mem_of_sub_one_mem_jacobson
theorem eq_jacobson_iff_sInf_maximal :
I.jacobson = I ↔ ∃ M : Set (Ideal R), (∀ J ∈ M, IsMaximal J ∨ J = ⊤) ∧ I = sInf M := by
use fun hI => ⟨{ J : Ideal R | I ≤ J ∧ J.IsMaximal }, ⟨fun _ hJ => Or.inl hJ.right, hI.symm⟩⟩
rintro ⟨M, hM, hInf⟩
refine le_antisymm (fun x hx => ?_) le_jacobson
rw [hInf, mem_sInf]
intro I hI
cases' hM I hI with is_max is_top
· exact (mem_sInf.1 hx) ⟨le_sInf_iff.1 (le_of_eq hInf) I hI, is_max⟩
· exact is_top.symm ▸ Submodule.mem_top
#align ideal.eq_jacobson_iff_Inf_maximal Ideal.eq_jacobson_iff_sInf_maximal
theorem eq_jacobson_iff_sInf_maximal' :
I.jacobson = I ↔ ∃ M : Set (Ideal R), (∀ J ∈ M, ∀ (K : Ideal R), J < K → K = ⊤) ∧ I = sInf M :=
eq_jacobson_iff_sInf_maximal.trans
⟨fun h =>
let ⟨M, hM⟩ := h
⟨M,
⟨fun J hJ K hK =>
Or.recOn (hM.1 J hJ) (fun h => h.1.2 K hK) fun h => eq_top_iff.2 (le_of_lt (h ▸ hK)),
hM.2⟩⟩,
fun h =>
let ⟨M, hM⟩ := h
⟨M,
⟨fun J hJ =>
Or.recOn (Classical.em (J = ⊤)) (fun h => Or.inr h) fun h => Or.inl ⟨⟨h, hM.1 J hJ⟩⟩,
hM.2⟩⟩⟩
#align ideal.eq_jacobson_iff_Inf_maximal' Ideal.eq_jacobson_iff_sInf_maximal'
theorem eq_jacobson_iff_not_mem :
I.jacobson = I ↔ ∀ (x) (_ : x ∉ I), ∃ M : Ideal R, (I ≤ M ∧ M.IsMaximal) ∧ x ∉ M := by
constructor
· intro h x hx
erw [← h, mem_sInf] at hx
push_neg at hx
exact hx
· refine fun h => le_antisymm (fun x hx => ?_) le_jacobson
contrapose hx
erw [mem_sInf]
push_neg
exact h x hx
#align ideal.eq_jacobson_iff_not_mem Ideal.eq_jacobson_iff_not_mem
| Mathlib/RingTheory/JacobsonIdeal.lean | 179 | 196 | theorem map_jacobson_of_surjective {f : R →+* S} (hf : Function.Surjective f) :
RingHom.ker f ≤ I → map f I.jacobson = (map f I).jacobson := by |
intro h
unfold Ideal.jacobson
-- Porting note: dot notation for `RingHom.ker` does not work
have : ∀ J ∈ { J : Ideal R | I ≤ J ∧ J.IsMaximal }, RingHom.ker f ≤ J :=
fun J hJ => le_trans h hJ.left
refine Trans.trans (map_sInf hf this) (le_antisymm ?_ ?_)
· refine
sInf_le_sInf fun J hJ =>
⟨comap f J, ⟨⟨le_comap_of_map_le hJ.1, ?_⟩, map_comap_of_surjective f hf J⟩⟩
haveI : J.IsMaximal := hJ.right
exact comap_isMaximal_of_surjective f hf
· refine sInf_le_sInf_of_subset_insert_top fun j hj => hj.recOn fun J hJ => ?_
rw [← hJ.2]
cases' map_eq_top_or_isMaximal_of_surjective f hf hJ.left.right with htop hmax
· exact htop.symm ▸ Set.mem_insert ⊤ _
· exact Set.mem_insert_of_mem ⊤ ⟨map_mono hJ.1.1, hmax⟩
|
import Mathlib.Topology.Separation
#align_import topology.extend_from from "leanprover-community/mathlib"@"b363547b3113d350d053abdf2884e9850a56b205"
noncomputable section
open Topology
open Filter Set
variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y]
def extendFrom (A : Set X) (f : X → Y) : X → Y :=
fun x ↦ @limUnder _ _ _ ⟨f x⟩ (𝓝[A] x) f
#align extend_from extendFrom
theorem tendsto_extendFrom {A : Set X} {f : X → Y} {x : X} (h : ∃ y, Tendsto f (𝓝[A] x) (𝓝 y)) :
Tendsto f (𝓝[A] x) (𝓝 <| extendFrom A f x) :=
tendsto_nhds_limUnder h
#align tendsto_extend_from tendsto_extendFrom
theorem extendFrom_eq [T2Space Y] {A : Set X} {f : X → Y} {x : X} {y : Y} (hx : x ∈ closure A)
(hf : Tendsto f (𝓝[A] x) (𝓝 y)) : extendFrom A f x = y :=
haveI := mem_closure_iff_nhdsWithin_neBot.mp hx
tendsto_nhds_unique (tendsto_nhds_limUnder ⟨y, hf⟩) hf
#align extend_from_eq extendFrom_eq
theorem extendFrom_extends [T2Space Y] {f : X → Y} {A : Set X} (hf : ContinuousOn f A) :
∀ x ∈ A, extendFrom A f x = f x :=
fun x x_in ↦ extendFrom_eq (subset_closure x_in) (hf x x_in)
#align extend_from_extends extendFrom_extends
| Mathlib/Topology/ExtendFrom.lean | 63 | 81 | theorem continuousOn_extendFrom [RegularSpace Y] {f : X → Y} {A B : Set X} (hB : B ⊆ closure A)
(hf : ∀ x ∈ B, ∃ y, Tendsto f (𝓝[A] x) (𝓝 y)) : ContinuousOn (extendFrom A f) B := by |
set φ := extendFrom A f
intro x x_in
suffices ∀ V' ∈ 𝓝 (φ x), IsClosed V' → φ ⁻¹' V' ∈ 𝓝[B] x by
simpa [ContinuousWithinAt, (closed_nhds_basis (φ x)).tendsto_right_iff]
intro V' V'_in V'_closed
obtain ⟨V, V_in, V_op, hV⟩ : ∃ V ∈ 𝓝 x, IsOpen V ∧ V ∩ A ⊆ f ⁻¹' V' := by
have := tendsto_extendFrom (hf x x_in)
rcases (nhdsWithin_basis_open x A).tendsto_left_iff.mp this V' V'_in with ⟨V, ⟨hxV, V_op⟩, hV⟩
exact ⟨V, IsOpen.mem_nhds V_op hxV, V_op, hV⟩
suffices ∀ y ∈ V ∩ B, φ y ∈ V' from
mem_of_superset (inter_mem_inf V_in <| mem_principal_self B) this
rintro y ⟨hyV, hyB⟩
haveI := mem_closure_iff_nhdsWithin_neBot.mp (hB hyB)
have limy : Tendsto f (𝓝[A] y) (𝓝 <| φ y) := tendsto_extendFrom (hf y hyB)
have hVy : V ∈ 𝓝 y := IsOpen.mem_nhds V_op hyV
have : V ∩ A ∈ 𝓝[A] y := by simpa only [inter_comm] using inter_mem_nhdsWithin A hVy
exact V'_closed.mem_of_tendsto limy (mem_of_superset this hV)
|
import Mathlib.Topology.Compactness.SigmaCompact
import Mathlib.Topology.Connected.TotallyDisconnected
import Mathlib.Topology.Inseparable
#align_import topology.separation from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d"
open Function Set Filter Topology TopologicalSpace
open scoped Classical
universe u v
variable {X : Type*} {Y : Type*} [TopologicalSpace X]
section Separation
def SeparatedNhds : Set X → Set X → Prop := fun s t : Set X =>
∃ U V : Set X, IsOpen U ∧ IsOpen V ∧ s ⊆ U ∧ t ⊆ V ∧ Disjoint U V
#align separated_nhds SeparatedNhds
theorem separatedNhds_iff_disjoint {s t : Set X} : SeparatedNhds s t ↔ Disjoint (𝓝ˢ s) (𝓝ˢ t) := by
simp only [(hasBasis_nhdsSet s).disjoint_iff (hasBasis_nhdsSet t), SeparatedNhds, exists_prop, ←
exists_and_left, and_assoc, and_comm, and_left_comm]
#align separated_nhds_iff_disjoint separatedNhds_iff_disjoint
alias ⟨SeparatedNhds.disjoint_nhdsSet, _⟩ := separatedNhds_iff_disjoint
class T0Space (X : Type u) [TopologicalSpace X] : Prop where
t0 : ∀ ⦃x y : X⦄, Inseparable x y → x = y
#align t0_space T0Space
theorem t0Space_iff_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ ∀ x y : X, Inseparable x y → x = y :=
⟨fun ⟨h⟩ => h, fun h => ⟨h⟩⟩
#align t0_space_iff_inseparable t0Space_iff_inseparable
theorem t0Space_iff_not_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y : X => ¬Inseparable x y := by
simp only [t0Space_iff_inseparable, Ne, not_imp_not, Pairwise]
#align t0_space_iff_not_inseparable t0Space_iff_not_inseparable
theorem Inseparable.eq [T0Space X] {x y : X} (h : Inseparable x y) : x = y :=
T0Space.t0 h
#align inseparable.eq Inseparable.eq
protected theorem Inducing.injective [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Injective f := fun _ _ h =>
(hf.inseparable_iff.1 <| .of_eq h).eq
#align inducing.injective Inducing.injective
protected theorem Inducing.embedding [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Embedding f :=
⟨hf, hf.injective⟩
#align inducing.embedding Inducing.embedding
lemma embedding_iff_inducing [TopologicalSpace Y] [T0Space X] {f : X → Y} :
Embedding f ↔ Inducing f :=
⟨Embedding.toInducing, Inducing.embedding⟩
#align embedding_iff_inducing embedding_iff_inducing
theorem t0Space_iff_nhds_injective (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Injective (𝓝 : X → Filter X) :=
t0Space_iff_inseparable X
#align t0_space_iff_nhds_injective t0Space_iff_nhds_injective
theorem nhds_injective [T0Space X] : Injective (𝓝 : X → Filter X) :=
(t0Space_iff_nhds_injective X).1 ‹_›
#align nhds_injective nhds_injective
theorem inseparable_iff_eq [T0Space X] {x y : X} : Inseparable x y ↔ x = y :=
nhds_injective.eq_iff
#align inseparable_iff_eq inseparable_iff_eq
@[simp]
theorem nhds_eq_nhds_iff [T0Space X] {a b : X} : 𝓝 a = 𝓝 b ↔ a = b :=
nhds_injective.eq_iff
#align nhds_eq_nhds_iff nhds_eq_nhds_iff
@[simp]
theorem inseparable_eq_eq [T0Space X] : Inseparable = @Eq X :=
funext₂ fun _ _ => propext inseparable_iff_eq
#align inseparable_eq_eq inseparable_eq_eq
theorem TopologicalSpace.IsTopologicalBasis.inseparable_iff {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : Inseparable x y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
⟨fun h s hs ↦ inseparable_iff_forall_open.1 h _ (hb.isOpen hs),
fun h ↦ hb.nhds_hasBasis.eq_of_same_basis <| by
convert hb.nhds_hasBasis using 2
exact and_congr_right (h _)⟩
theorem TopologicalSpace.IsTopologicalBasis.eq_iff [T0Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : x = y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
inseparable_iff_eq.symm.trans hb.inseparable_iff
theorem t0Space_iff_exists_isOpen_xor'_mem (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) := by
simp only [t0Space_iff_not_inseparable, xor_iff_not_iff, not_forall, exists_prop,
inseparable_iff_forall_open, Pairwise]
#align t0_space_iff_exists_is_open_xor_mem t0Space_iff_exists_isOpen_xor'_mem
theorem exists_isOpen_xor'_mem [T0Space X] {x y : X} (h : x ≠ y) :
∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) :=
(t0Space_iff_exists_isOpen_xor'_mem X).1 ‹_› h
#align exists_is_open_xor_mem exists_isOpen_xor'_mem
def specializationOrder (X) [TopologicalSpace X] [T0Space X] : PartialOrder X :=
{ specializationPreorder X, PartialOrder.lift (OrderDual.toDual ∘ 𝓝) nhds_injective with }
#align specialization_order specializationOrder
instance SeparationQuotient.instT0Space : T0Space (SeparationQuotient X) :=
⟨fun x y => Quotient.inductionOn₂' x y fun _ _ h =>
SeparationQuotient.mk_eq_mk.2 <| SeparationQuotient.inducing_mk.inseparable_iff.1 h⟩
theorem minimal_nonempty_closed_subsingleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· refine this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s \ U = s := hmin (s \ U) diff_subset ⟨y, hy, hyU⟩ (hs.sdiff hUo)
exact (this.symm.subset hx).2 hxU
#align minimal_nonempty_closed_subsingleton minimal_nonempty_closed_subsingleton
theorem minimal_nonempty_closed_eq_singleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2
⟨hne, minimal_nonempty_closed_subsingleton hs hmin⟩
#align minimal_nonempty_closed_eq_singleton minimal_nonempty_closed_eq_singleton
theorem IsClosed.exists_closed_singleton [T0Space X] [CompactSpace X] {S : Set X}
(hS : IsClosed S) (hne : S.Nonempty) : ∃ x : X, x ∈ S ∧ IsClosed ({x} : Set X) := by
obtain ⟨V, Vsub, Vne, Vcls, hV⟩ := hS.exists_minimal_nonempty_closed_subset hne
rcases minimal_nonempty_closed_eq_singleton Vcls Vne hV with ⟨x, rfl⟩
exact ⟨x, Vsub (mem_singleton x), Vcls⟩
#align is_closed.exists_closed_singleton IsClosed.exists_closed_singleton
theorem minimal_nonempty_open_subsingleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· exact this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s ∩ U = s := hmin (s ∩ U) inter_subset_left ⟨x, hx, hxU⟩ (hs.inter hUo)
exact hyU (this.symm.subset hy).2
#align minimal_nonempty_open_subsingleton minimal_nonempty_open_subsingleton
theorem minimal_nonempty_open_eq_singleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2 ⟨hne, minimal_nonempty_open_subsingleton hs hmin⟩
#align minimal_nonempty_open_eq_singleton minimal_nonempty_open_eq_singleton
theorem exists_isOpen_singleton_of_isOpen_finite [T0Space X] {s : Set X} (hfin : s.Finite)
(hne : s.Nonempty) (ho : IsOpen s) : ∃ x ∈ s, IsOpen ({x} : Set X) := by
lift s to Finset X using hfin
induction' s using Finset.strongInductionOn with s ihs
rcases em (∃ t, t ⊂ s ∧ t.Nonempty ∧ IsOpen (t : Set X)) with (⟨t, hts, htne, hto⟩ | ht)
· rcases ihs t hts htne hto with ⟨x, hxt, hxo⟩
exact ⟨x, hts.1 hxt, hxo⟩
· -- Porting note: was `rcases minimal_nonempty_open_eq_singleton ho hne _ with ⟨x, hx⟩`
-- https://github.com/leanprover/std4/issues/116
rsuffices ⟨x, hx⟩ : ∃ x, s.toSet = {x}
· exact ⟨x, hx.symm ▸ rfl, hx ▸ ho⟩
refine minimal_nonempty_open_eq_singleton ho hne ?_
refine fun t hts htne hto => of_not_not fun hts' => ht ?_
lift t to Finset X using s.finite_toSet.subset hts
exact ⟨t, ssubset_iff_subset_ne.2 ⟨hts, mt Finset.coe_inj.2 hts'⟩, htne, hto⟩
#align exists_open_singleton_of_open_finite exists_isOpen_singleton_of_isOpen_finite
theorem exists_open_singleton_of_finite [T0Space X] [Finite X] [Nonempty X] :
∃ x : X, IsOpen ({x} : Set X) :=
let ⟨x, _, h⟩ := exists_isOpen_singleton_of_isOpen_finite (Set.toFinite _)
univ_nonempty isOpen_univ
⟨x, h⟩
#align exists_open_singleton_of_fintype exists_open_singleton_of_finite
theorem t0Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y}
(hf : Function.Injective f) (hf' : Continuous f) [T0Space Y] : T0Space X :=
⟨fun _ _ h => hf <| (h.map hf').eq⟩
#align t0_space_of_injective_of_continuous t0Space_of_injective_of_continuous
protected theorem Embedding.t0Space [TopologicalSpace Y] [T0Space Y] {f : X → Y}
(hf : Embedding f) : T0Space X :=
t0Space_of_injective_of_continuous hf.inj hf.continuous
#align embedding.t0_space Embedding.t0Space
instance Subtype.t0Space [T0Space X] {p : X → Prop} : T0Space (Subtype p) :=
embedding_subtype_val.t0Space
#align subtype.t0_space Subtype.t0Space
theorem t0Space_iff_or_not_mem_closure (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun a b : X => a ∉ closure ({b} : Set X) ∨ b ∉ closure ({a} : Set X) := by
simp only [t0Space_iff_not_inseparable, inseparable_iff_mem_closure, not_and_or]
#align t0_space_iff_or_not_mem_closure t0Space_iff_or_not_mem_closure
instance Prod.instT0Space [TopologicalSpace Y] [T0Space X] [T0Space Y] : T0Space (X × Y) :=
⟨fun _ _ h => Prod.ext (h.map continuous_fst).eq (h.map continuous_snd).eq⟩
instance Pi.instT0Space {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)]
[∀ i, T0Space (X i)] :
T0Space (∀ i, X i) :=
⟨fun _ _ h => funext fun i => (h.map (continuous_apply i)).eq⟩
#align pi.t0_space Pi.instT0Space
instance ULift.instT0Space [T0Space X] : T0Space (ULift X) :=
embedding_uLift_down.t0Space
theorem T0Space.of_cover (h : ∀ x y, Inseparable x y → ∃ s : Set X, x ∈ s ∧ y ∈ s ∧ T0Space s) :
T0Space X := by
refine ⟨fun x y hxy => ?_⟩
rcases h x y hxy with ⟨s, hxs, hys, hs⟩
lift x to s using hxs; lift y to s using hys
rw [← subtype_inseparable_iff] at hxy
exact congr_arg Subtype.val hxy.eq
#align t0_space.of_cover T0Space.of_cover
theorem T0Space.of_open_cover (h : ∀ x, ∃ s : Set X, x ∈ s ∧ IsOpen s ∧ T0Space s) : T0Space X :=
T0Space.of_cover fun x _ hxy =>
let ⟨s, hxs, hso, hs⟩ := h x
⟨s, hxs, (hxy.mem_open_iff hso).1 hxs, hs⟩
#align t0_space.of_open_cover T0Space.of_open_cover
@[mk_iff]
class R0Space (X : Type u) [TopologicalSpace X] : Prop where
specializes_symmetric : Symmetric (Specializes : X → X → Prop)
export R0Space (specializes_symmetric)
class T1Space (X : Type u) [TopologicalSpace X] : Prop where
t1 : ∀ x, IsClosed ({x} : Set X)
#align t1_space T1Space
theorem isClosed_singleton [T1Space X] {x : X} : IsClosed ({x} : Set X) :=
T1Space.t1 x
#align is_closed_singleton isClosed_singleton
theorem isOpen_compl_singleton [T1Space X] {x : X} : IsOpen ({x}ᶜ : Set X) :=
isClosed_singleton.isOpen_compl
#align is_open_compl_singleton isOpen_compl_singleton
theorem isOpen_ne [T1Space X] {x : X} : IsOpen { y | y ≠ x } :=
isOpen_compl_singleton
#align is_open_ne isOpen_ne
@[to_additive]
theorem Continuous.isOpen_mulSupport [T1Space X] [One X] [TopologicalSpace Y] {f : Y → X}
(hf : Continuous f) : IsOpen (mulSupport f) :=
isOpen_ne.preimage hf
#align continuous.is_open_mul_support Continuous.isOpen_mulSupport
#align continuous.is_open_support Continuous.isOpen_support
theorem Ne.nhdsWithin_compl_singleton [T1Space X] {x y : X} (h : x ≠ y) : 𝓝[{y}ᶜ] x = 𝓝 x :=
isOpen_ne.nhdsWithin_eq h
#align ne.nhds_within_compl_singleton Ne.nhdsWithin_compl_singleton
theorem Ne.nhdsWithin_diff_singleton [T1Space X] {x y : X} (h : x ≠ y) (s : Set X) :
𝓝[s \ {y}] x = 𝓝[s] x := by
rw [diff_eq, inter_comm, nhdsWithin_inter_of_mem]
exact mem_nhdsWithin_of_mem_nhds (isOpen_ne.mem_nhds h)
#align ne.nhds_within_diff_singleton Ne.nhdsWithin_diff_singleton
lemma nhdsWithin_compl_singleton_le [T1Space X] (x y : X) : 𝓝[{x}ᶜ] x ≤ 𝓝[{y}ᶜ] x := by
rcases eq_or_ne x y with rfl|hy
· exact Eq.le rfl
· rw [Ne.nhdsWithin_compl_singleton hy]
exact nhdsWithin_le_nhds
| Mathlib/Topology/Separation.lean | 520 | 527 | theorem isOpen_setOf_eventually_nhdsWithin [T1Space X] {p : X → Prop} :
IsOpen { x | ∀ᶠ y in 𝓝[≠] x, p y } := by |
refine isOpen_iff_mem_nhds.mpr fun a ha => ?_
filter_upwards [eventually_nhds_nhdsWithin.mpr ha] with b hb
rcases eq_or_ne a b with rfl | h
· exact hb
· rw [h.symm.nhdsWithin_compl_singleton] at hb
exact hb.filter_mono nhdsWithin_le_nhds
|
import Mathlib.CategoryTheory.NatIso
#align_import category_theory.bicategory.basic from "leanprover-community/mathlib"@"4c19a16e4b705bf135cf9a80ac18fcc99c438514"
namespace CategoryTheory
universe w v u
open Category Iso
-- intended to be used with explicit universe parameters
@[nolint checkUnivs]
class Bicategory (B : Type u) extends CategoryStruct.{v} B where
-- category structure on the collection of 1-morphisms:
homCategory : ∀ a b : B, Category.{w} (a ⟶ b) := by infer_instance
-- left whiskering:
whiskerLeft {a b c : B} (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) : f ≫ g ⟶ f ≫ h
-- right whiskering:
whiskerRight {a b c : B} {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) : f ≫ h ⟶ g ≫ h
-- associator:
associator {a b c d : B} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) : (f ≫ g) ≫ h ≅ f ≫ g ≫ h
-- left unitor:
leftUnitor {a b : B} (f : a ⟶ b) : 𝟙 a ≫ f ≅ f
-- right unitor:
rightUnitor {a b : B} (f : a ⟶ b) : f ≫ 𝟙 b ≅ f
-- axioms for left whiskering:
whiskerLeft_id : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerLeft f (𝟙 g) = 𝟙 (f ≫ g) := by
aesop_cat
whiskerLeft_comp :
∀ {a b c} (f : a ⟶ b) {g h i : b ⟶ c} (η : g ⟶ h) (θ : h ⟶ i),
whiskerLeft f (η ≫ θ) = whiskerLeft f η ≫ whiskerLeft f θ := by
aesop_cat
id_whiskerLeft :
∀ {a b} {f g : a ⟶ b} (η : f ⟶ g),
whiskerLeft (𝟙 a) η = (leftUnitor f).hom ≫ η ≫ (leftUnitor g).inv := by
aesop_cat
comp_whiskerLeft :
∀ {a b c d} (f : a ⟶ b) (g : b ⟶ c) {h h' : c ⟶ d} (η : h ⟶ h'),
whiskerLeft (f ≫ g) η =
(associator f g h).hom ≫ whiskerLeft f (whiskerLeft g η) ≫ (associator f g h').inv := by
aesop_cat
-- axioms for right whiskering:
id_whiskerRight : ∀ {a b c} (f : a ⟶ b) (g : b ⟶ c), whiskerRight (𝟙 f) g = 𝟙 (f ≫ g) := by
aesop_cat
comp_whiskerRight :
∀ {a b c} {f g h : a ⟶ b} (η : f ⟶ g) (θ : g ⟶ h) (i : b ⟶ c),
whiskerRight (η ≫ θ) i = whiskerRight η i ≫ whiskerRight θ i := by
aesop_cat
whiskerRight_id :
∀ {a b} {f g : a ⟶ b} (η : f ⟶ g),
whiskerRight η (𝟙 b) = (rightUnitor f).hom ≫ η ≫ (rightUnitor g).inv := by
aesop_cat
whiskerRight_comp :
∀ {a b c d} {f f' : a ⟶ b} (η : f ⟶ f') (g : b ⟶ c) (h : c ⟶ d),
whiskerRight η (g ≫ h) =
(associator f g h).inv ≫ whiskerRight (whiskerRight η g) h ≫ (associator f' g h).hom := by
aesop_cat
-- associativity of whiskerings:
whisker_assoc :
∀ {a b c d} (f : a ⟶ b) {g g' : b ⟶ c} (η : g ⟶ g') (h : c ⟶ d),
whiskerRight (whiskerLeft f η) h =
(associator f g h).hom ≫ whiskerLeft f (whiskerRight η h) ≫ (associator f g' h).inv := by
aesop_cat
-- exchange law of left and right whiskerings:
whisker_exchange :
∀ {a b c} {f g : a ⟶ b} {h i : b ⟶ c} (η : f ⟶ g) (θ : h ⟶ i),
whiskerLeft f θ ≫ whiskerRight η i = whiskerRight η h ≫ whiskerLeft g θ := by
aesop_cat
-- pentagon identity:
pentagon :
∀ {a b c d e} (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e),
whiskerRight (associator f g h).hom i ≫
(associator f (g ≫ h) i).hom ≫ whiskerLeft f (associator g h i).hom =
(associator (f ≫ g) h i).hom ≫ (associator f g (h ≫ i)).hom := by
aesop_cat
-- triangle identity:
triangle :
∀ {a b c} (f : a ⟶ b) (g : b ⟶ c),
(associator f (𝟙 b) g).hom ≫ whiskerLeft f (leftUnitor g).hom
= whiskerRight (rightUnitor f).hom g := by
aesop_cat
#align category_theory.bicategory CategoryTheory.Bicategory
#align category_theory.bicategory.hom_category CategoryTheory.Bicategory.homCategory
#align category_theory.bicategory.whisker_left CategoryTheory.Bicategory.whiskerLeft
#align category_theory.bicategory.whisker_right CategoryTheory.Bicategory.whiskerRight
#align category_theory.bicategory.left_unitor CategoryTheory.Bicategory.leftUnitor
#align category_theory.bicategory.right_unitor CategoryTheory.Bicategory.rightUnitor
#align category_theory.bicategory.whisker_left_id' CategoryTheory.Bicategory.whiskerLeft_id
#align category_theory.bicategory.whisker_left_comp' CategoryTheory.Bicategory.whiskerLeft_comp
#align category_theory.bicategory.id_whisker_left' CategoryTheory.Bicategory.id_whiskerLeft
#align category_theory.bicategory.comp_whisker_left' CategoryTheory.Bicategory.comp_whiskerLeft
#align category_theory.bicategory.id_whisker_right' CategoryTheory.Bicategory.id_whiskerRight
#align category_theory.bicategory.comp_whisker_right' CategoryTheory.Bicategory.comp_whiskerRight
#align category_theory.bicategory.whisker_right_id' CategoryTheory.Bicategory.whiskerRight_id
#align category_theory.bicategory.whisker_right_comp' CategoryTheory.Bicategory.whiskerRight_comp
#align category_theory.bicategory.whisker_assoc' CategoryTheory.Bicategory.whisker_assoc
#align category_theory.bicategory.whisker_exchange' CategoryTheory.Bicategory.whisker_exchange
#align category_theory.bicategory.pentagon' CategoryTheory.Bicategory.pentagon
#align category_theory.bicategory.triangle' CategoryTheory.Bicategory.triangle
namespace Bicategory
scoped infixr:81 " ◁ " => Bicategory.whiskerLeft
scoped infixl:81 " ▷ " => Bicategory.whiskerRight
scoped notation "α_" => Bicategory.associator
scoped notation "λ_" => Bicategory.leftUnitor
scoped notation "ρ_" => Bicategory.rightUnitor
attribute [instance] homCategory
attribute [reassoc]
whiskerLeft_comp id_whiskerLeft comp_whiskerLeft comp_whiskerRight whiskerRight_id
whiskerRight_comp whisker_assoc whisker_exchange
attribute [reassoc (attr := simp)] pentagon triangle
attribute [simp]
whiskerLeft_id whiskerLeft_comp id_whiskerLeft comp_whiskerLeft id_whiskerRight comp_whiskerRight
whiskerRight_id whiskerRight_comp whisker_assoc
variable {B : Type u} [Bicategory.{w, v} B] {a b c d e : B}
@[reassoc (attr := simp)]
theorem whiskerLeft_hom_inv (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) :
f ◁ η.hom ≫ f ◁ η.inv = 𝟙 (f ≫ g) := by rw [← whiskerLeft_comp, hom_inv_id, whiskerLeft_id]
#align category_theory.bicategory.hom_inv_whisker_left CategoryTheory.Bicategory.whiskerLeft_hom_inv
@[reassoc (attr := simp)]
theorem hom_inv_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) :
η.hom ▷ h ≫ η.inv ▷ h = 𝟙 (f ≫ h) := by rw [← comp_whiskerRight, hom_inv_id, id_whiskerRight]
#align category_theory.bicategory.hom_inv_whisker_right CategoryTheory.Bicategory.hom_inv_whiskerRight
@[reassoc (attr := simp)]
theorem whiskerLeft_inv_hom (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) :
f ◁ η.inv ≫ f ◁ η.hom = 𝟙 (f ≫ h) := by rw [← whiskerLeft_comp, inv_hom_id, whiskerLeft_id]
#align category_theory.bicategory.inv_hom_whisker_left CategoryTheory.Bicategory.whiskerLeft_inv_hom
@[reassoc (attr := simp)]
theorem inv_hom_whiskerRight {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) :
η.inv ▷ h ≫ η.hom ▷ h = 𝟙 (g ≫ h) := by rw [← comp_whiskerRight, inv_hom_id, id_whiskerRight]
#align category_theory.bicategory.inv_hom_whisker_right CategoryTheory.Bicategory.inv_hom_whiskerRight
@[simps]
def whiskerLeftIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ≅ h) : f ≫ g ≅ f ≫ h where
hom := f ◁ η.hom
inv := f ◁ η.inv
#align category_theory.bicategory.whisker_left_iso CategoryTheory.Bicategory.whiskerLeftIso
instance whiskerLeft_isIso (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] : IsIso (f ◁ η) :=
(whiskerLeftIso f (asIso η)).isIso_hom
#align category_theory.bicategory.whisker_left_is_iso CategoryTheory.Bicategory.whiskerLeft_isIso
@[simp]
theorem inv_whiskerLeft (f : a ⟶ b) {g h : b ⟶ c} (η : g ⟶ h) [IsIso η] :
inv (f ◁ η) = f ◁ inv η := by
apply IsIso.inv_eq_of_hom_inv_id
simp only [← whiskerLeft_comp, whiskerLeft_id, IsIso.hom_inv_id]
#align category_theory.bicategory.inv_whisker_left CategoryTheory.Bicategory.inv_whiskerLeft
@[simps!]
def whiskerRightIso {f g : a ⟶ b} (η : f ≅ g) (h : b ⟶ c) : f ≫ h ≅ g ≫ h where
hom := η.hom ▷ h
inv := η.inv ▷ h
#align category_theory.bicategory.whisker_right_iso CategoryTheory.Bicategory.whiskerRightIso
instance whiskerRight_isIso {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] : IsIso (η ▷ h) :=
(whiskerRightIso (asIso η) h).isIso_hom
#align category_theory.bicategory.whisker_right_is_iso CategoryTheory.Bicategory.whiskerRight_isIso
@[simp]
theorem inv_whiskerRight {f g : a ⟶ b} (η : f ⟶ g) (h : b ⟶ c) [IsIso η] :
inv (η ▷ h) = inv η ▷ h := by
apply IsIso.inv_eq_of_hom_inv_id
simp only [← comp_whiskerRight, id_whiskerRight, IsIso.hom_inv_id]
#align category_theory.bicategory.inv_whisker_right CategoryTheory.Bicategory.inv_whiskerRight
@[reassoc (attr := simp)]
theorem pentagon_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i =
(α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv CategoryTheory.Bicategory.pentagon_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_inv_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom =
f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv := by
rw [← cancel_epi (f ◁ (α_ g h i).inv), ← cancel_mono (α_ (f ≫ g) h i).inv]
simp
#align category_theory.bicategory.pentagon_inv_inv_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_inv_hom_hom_inv
@[reassoc (attr := simp)]
theorem pentagon_inv_hom_hom_hom_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom =
(α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_inv_hom_hom_hom_inv CategoryTheory.Bicategory.pentagon_inv_hom_hom_hom_inv
@[reassoc (attr := simp)]
theorem pentagon_hom_inv_inv_inv_inv (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv ≫ (α_ (f ≫ g) h i).inv =
(α_ f (g ≫ h) i).inv ≫ (α_ f g h).inv ▷ i := by
simp [← cancel_epi (f ◁ (α_ g h i).inv)]
#align category_theory.bicategory.pentagon_hom_inv_inv_inv_inv CategoryTheory.Bicategory.pentagon_hom_inv_inv_inv_inv
@[reassoc (attr := simp)]
theorem pentagon_hom_hom_inv_hom_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ (f ≫ g) h i).hom ≫ (α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv =
(α_ f g h).hom ▷ i ≫ (α_ f (g ≫ h) i).hom :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_hom_hom_inv_hom_hom CategoryTheory.Bicategory.pentagon_hom_hom_inv_hom_hom
@[reassoc (attr := simp)]
theorem pentagon_hom_inv_inv_inv_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g (h ≫ i)).hom ≫ f ◁ (α_ g h i).inv ≫ (α_ f (g ≫ h) i).inv =
(α_ (f ≫ g) h i).inv ≫ (α_ f g h).hom ▷ i := by
rw [← cancel_epi (α_ f g (h ≫ i)).inv, ← cancel_mono ((α_ f g h).inv ▷ i)]
simp
#align category_theory.bicategory.pentagon_hom_inv_inv_inv_hom CategoryTheory.Bicategory.pentagon_hom_inv_inv_inv_hom
@[reassoc (attr := simp)]
theorem pentagon_hom_hom_inv_inv_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f (g ≫ h) i).hom ≫ f ◁ (α_ g h i).hom ≫ (α_ f g (h ≫ i)).inv =
(α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom :=
eq_of_inv_eq_inv (by simp)
#align category_theory.bicategory.pentagon_hom_hom_inv_inv_hom CategoryTheory.Bicategory.pentagon_hom_hom_inv_inv_hom
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Bicategory/Basic.lean | 303 | 306 | theorem pentagon_inv_hom_hom_hom_hom (f : a ⟶ b) (g : b ⟶ c) (h : c ⟶ d) (i : d ⟶ e) :
(α_ f g h).inv ▷ i ≫ (α_ (f ≫ g) h i).hom ≫ (α_ f g (h ≫ i)).hom =
(α_ f (g ≫ h) i).hom ≫ f ◁ (α_ g h i).hom := by |
simp [← cancel_epi ((α_ f g h).hom ▷ i)]
|
import Mathlib.Analysis.Convex.Function
import Mathlib.Analysis.Convex.StrictConvexSpace
import Mathlib.MeasureTheory.Function.AEEqOfIntegral
import Mathlib.MeasureTheory.Integral.Average
#align_import analysis.convex.integral from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open MeasureTheory MeasureTheory.Measure Metric Set Filter TopologicalSpace Function
open scoped Topology ENNReal Convex
variable {α E F : Type*} {m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E]
[CompleteSpace E] [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] {μ : Measure α}
{s : Set E} {t : Set α} {f : α → E} {g : E → ℝ} {C : ℝ}
theorem Convex.integral_mem [IsProbabilityMeasure μ] (hs : Convex ℝ s) (hsc : IsClosed s)
(hf : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ) : (∫ x, f x ∂μ) ∈ s := by
borelize E
rcases hfi.aestronglyMeasurable with ⟨g, hgm, hfg⟩
haveI : SeparableSpace (range g ∩ s : Set E) :=
(hgm.isSeparable_range.mono inter_subset_left).separableSpace
obtain ⟨y₀, h₀⟩ : (range g ∩ s).Nonempty := by
rcases (hf.and hfg).exists with ⟨x₀, h₀⟩
exact ⟨f x₀, by simp only [h₀.2, mem_range_self], h₀.1⟩
rw [integral_congr_ae hfg]; rw [integrable_congr hfg] at hfi
have hg : ∀ᵐ x ∂μ, g x ∈ closure (range g ∩ s) := by
filter_upwards [hfg.rw (fun _ y => y ∈ s) hf] with x hx
apply subset_closure
exact ⟨mem_range_self _, hx⟩
set G : ℕ → SimpleFunc α E := SimpleFunc.approxOn _ hgm.measurable (range g ∩ s) y₀ h₀
have : Tendsto (fun n => (G n).integral μ) atTop (𝓝 <| ∫ x, g x ∂μ) :=
tendsto_integral_approxOn_of_measurable hfi _ hg _ (integrable_const _)
refine hsc.mem_of_tendsto this (eventually_of_forall fun n => hs.sum_mem ?_ ?_ ?_)
· exact fun _ _ => ENNReal.toReal_nonneg
· rw [← ENNReal.toReal_sum, (G n).sum_range_measure_preimage_singleton, measure_univ,
ENNReal.one_toReal]
exact fun _ _ => measure_ne_top _ _
· simp only [SimpleFunc.mem_range, forall_mem_range]
intro x
apply (range g).inter_subset_right
exact SimpleFunc.approxOn_mem hgm.measurable h₀ _ _
#align convex.integral_mem Convex.integral_mem
theorem Convex.average_mem [IsFiniteMeasure μ] [NeZero μ] (hs : Convex ℝ s) (hsc : IsClosed s)
(hfs : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ) : (⨍ x, f x ∂μ) ∈ s := by
refine hs.integral_mem hsc (ae_mono' ?_ hfs) hfi.to_average
exact AbsolutelyContinuous.smul (refl _) _
#align convex.average_mem Convex.average_mem
theorem Convex.set_average_mem (hs : Convex ℝ s) (hsc : IsClosed s) (h0 : μ t ≠ 0) (ht : μ t ≠ ∞)
(hfs : ∀ᵐ x ∂μ.restrict t, f x ∈ s) (hfi : IntegrableOn f t μ) : (⨍ x in t, f x ∂μ) ∈ s :=
have := Fact.mk ht.lt_top
have := NeZero.mk h0
hs.average_mem hsc hfs hfi
#align convex.set_average_mem Convex.set_average_mem
theorem Convex.set_average_mem_closure (hs : Convex ℝ s) (h0 : μ t ≠ 0) (ht : μ t ≠ ∞)
(hfs : ∀ᵐ x ∂μ.restrict t, f x ∈ s) (hfi : IntegrableOn f t μ) :
(⨍ x in t, f x ∂μ) ∈ closure s :=
hs.closure.set_average_mem isClosed_closure h0 ht (hfs.mono fun _ hx => subset_closure hx) hfi
#align convex.set_average_mem_closure Convex.set_average_mem_closure
theorem ConvexOn.average_mem_epigraph [IsFiniteMeasure μ] [NeZero μ] (hg : ConvexOn ℝ s g)
(hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ x ∂μ, f x ∈ s)
(hfi : Integrable f μ) (hgi : Integrable (g ∘ f) μ) :
(⨍ x, f x ∂μ, ⨍ x, g (f x) ∂μ) ∈ {p : E × ℝ | p.1 ∈ s ∧ g p.1 ≤ p.2} := by
have ht_mem : ∀ᵐ x ∂μ, (f x, g (f x)) ∈ {p : E × ℝ | p.1 ∈ s ∧ g p.1 ≤ p.2} :=
hfs.mono fun x hx => ⟨hx, le_rfl⟩
exact average_pair hfi hgi ▸
hg.convex_epigraph.average_mem (hsc.epigraph hgc) ht_mem (hfi.prod_mk hgi)
#align convex_on.average_mem_epigraph ConvexOn.average_mem_epigraph
theorem ConcaveOn.average_mem_hypograph [IsFiniteMeasure μ] [NeZero μ] (hg : ConcaveOn ℝ s g)
(hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ x ∂μ, f x ∈ s)
(hfi : Integrable f μ) (hgi : Integrable (g ∘ f) μ) :
(⨍ x, f x ∂μ, ⨍ x, g (f x) ∂μ) ∈ {p : E × ℝ | p.1 ∈ s ∧ p.2 ≤ g p.1} := by
simpa only [mem_setOf_eq, Pi.neg_apply, average_neg, neg_le_neg_iff] using
hg.neg.average_mem_epigraph hgc.neg hsc hfs hfi hgi.neg
#align concave_on.average_mem_hypograph ConcaveOn.average_mem_hypograph
theorem ConvexOn.map_average_le [IsFiniteMeasure μ] [NeZero μ]
(hg : ConvexOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s)
(hfs : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ) (hgi : Integrable (g ∘ f) μ) :
g (⨍ x, f x ∂μ) ≤ ⨍ x, g (f x) ∂μ :=
(hg.average_mem_epigraph hgc hsc hfs hfi hgi).2
#align convex_on.map_average_le ConvexOn.map_average_le
theorem ConcaveOn.le_map_average [IsFiniteMeasure μ] [NeZero μ]
(hg : ConcaveOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s)
(hfs : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ) (hgi : Integrable (g ∘ f) μ) :
(⨍ x, g (f x) ∂μ) ≤ g (⨍ x, f x ∂μ) :=
(hg.average_mem_hypograph hgc hsc hfs hfi hgi).2
#align concave_on.le_map_average ConcaveOn.le_map_average
theorem ConvexOn.set_average_mem_epigraph (hg : ConvexOn ℝ s g) (hgc : ContinuousOn g s)
(hsc : IsClosed s) (h0 : μ t ≠ 0) (ht : μ t ≠ ∞) (hfs : ∀ᵐ x ∂μ.restrict t, f x ∈ s)
(hfi : IntegrableOn f t μ) (hgi : IntegrableOn (g ∘ f) t μ) :
(⨍ x in t, f x ∂μ, ⨍ x in t, g (f x) ∂μ) ∈ {p : E × ℝ | p.1 ∈ s ∧ g p.1 ≤ p.2} :=
have := Fact.mk ht.lt_top
have := NeZero.mk h0
hg.average_mem_epigraph hgc hsc hfs hfi hgi
#align convex_on.set_average_mem_epigraph ConvexOn.set_average_mem_epigraph
theorem ConcaveOn.set_average_mem_hypograph (hg : ConcaveOn ℝ s g) (hgc : ContinuousOn g s)
(hsc : IsClosed s) (h0 : μ t ≠ 0) (ht : μ t ≠ ∞) (hfs : ∀ᵐ x ∂μ.restrict t, f x ∈ s)
(hfi : IntegrableOn f t μ) (hgi : IntegrableOn (g ∘ f) t μ) :
(⨍ x in t, f x ∂μ, ⨍ x in t, g (f x) ∂μ) ∈ {p : E × ℝ | p.1 ∈ s ∧ p.2 ≤ g p.1} := by
simpa only [mem_setOf_eq, Pi.neg_apply, average_neg, neg_le_neg_iff] using
hg.neg.set_average_mem_epigraph hgc.neg hsc h0 ht hfs hfi hgi.neg
#align concave_on.set_average_mem_hypograph ConcaveOn.set_average_mem_hypograph
theorem ConvexOn.map_set_average_le (hg : ConvexOn ℝ s g) (hgc : ContinuousOn g s)
(hsc : IsClosed s) (h0 : μ t ≠ 0) (ht : μ t ≠ ∞) (hfs : ∀ᵐ x ∂μ.restrict t, f x ∈ s)
(hfi : IntegrableOn f t μ) (hgi : IntegrableOn (g ∘ f) t μ) :
g (⨍ x in t, f x ∂μ) ≤ ⨍ x in t, g (f x) ∂μ :=
(hg.set_average_mem_epigraph hgc hsc h0 ht hfs hfi hgi).2
#align convex_on.map_set_average_le ConvexOn.map_set_average_le
theorem ConcaveOn.le_map_set_average (hg : ConcaveOn ℝ s g) (hgc : ContinuousOn g s)
(hsc : IsClosed s) (h0 : μ t ≠ 0) (ht : μ t ≠ ∞) (hfs : ∀ᵐ x ∂μ.restrict t, f x ∈ s)
(hfi : IntegrableOn f t μ) (hgi : IntegrableOn (g ∘ f) t μ) :
(⨍ x in t, g (f x) ∂μ) ≤ g (⨍ x in t, f x ∂μ) :=
(hg.set_average_mem_hypograph hgc hsc h0 ht hfs hfi hgi).2
#align concave_on.le_map_set_average ConcaveOn.le_map_set_average
theorem ConvexOn.map_integral_le [IsProbabilityMeasure μ] (hg : ConvexOn ℝ s g)
(hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ)
(hgi : Integrable (g ∘ f) μ) : g (∫ x, f x ∂μ) ≤ ∫ x, g (f x) ∂μ := by
simpa only [average_eq_integral] using hg.map_average_le hgc hsc hfs hfi hgi
#align convex_on.map_integral_le ConvexOn.map_integral_le
theorem ConcaveOn.le_map_integral [IsProbabilityMeasure μ] (hg : ConcaveOn ℝ s g)
(hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ)
(hgi : Integrable (g ∘ f) μ) : (∫ x, g (f x) ∂μ) ≤ g (∫ x, f x ∂μ) := by
simpa only [average_eq_integral] using hg.le_map_average hgc hsc hfs hfi hgi
#align concave_on.le_map_integral ConcaveOn.le_map_integral
theorem ae_eq_const_or_exists_average_ne_compl [IsFiniteMeasure μ] (hfi : Integrable f μ) :
f =ᵐ[μ] const α (⨍ x, f x ∂μ) ∨
∃ t, MeasurableSet t ∧ μ t ≠ 0 ∧ μ tᶜ ≠ 0 ∧ (⨍ x in t, f x ∂μ) ≠ ⨍ x in tᶜ, f x ∂μ := by
refine or_iff_not_imp_right.mpr fun H => ?_; push_neg at H
refine hfi.ae_eq_of_forall_setIntegral_eq _ _ (integrable_const _) fun t ht ht' => ?_; clear ht'
simp only [const_apply, setIntegral_const]
by_cases h₀ : μ t = 0
· rw [restrict_eq_zero.2 h₀, integral_zero_measure, h₀, ENNReal.zero_toReal, zero_smul]
by_cases h₀' : μ tᶜ = 0
· rw [← ae_eq_univ] at h₀'
rw [restrict_congr_set h₀', restrict_univ, measure_congr h₀', measure_smul_average]
have := average_mem_openSegment_compl_self ht.nullMeasurableSet h₀ h₀' hfi
rw [← H t ht h₀ h₀', openSegment_same, mem_singleton_iff] at this
rw [this, measure_smul_setAverage _ (measure_ne_top μ _)]
#align ae_eq_const_or_exists_average_ne_compl ae_eq_const_or_exists_average_ne_compl
theorem Convex.average_mem_interior_of_set [IsFiniteMeasure μ] (hs : Convex ℝ s) (h0 : μ t ≠ 0)
(hfs : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ) (ht : (⨍ x in t, f x ∂μ) ∈ interior s) :
(⨍ x, f x ∂μ) ∈ interior s := by
rw [← measure_toMeasurable] at h0; rw [← restrict_toMeasurable (measure_ne_top μ t)] at ht
by_cases h0' : μ (toMeasurable μ t)ᶜ = 0
· rw [← ae_eq_univ] at h0'
rwa [restrict_congr_set h0', restrict_univ] at ht
exact
hs.openSegment_interior_closure_subset_interior ht
(hs.set_average_mem_closure h0' (measure_ne_top _ _) (ae_restrict_of_ae hfs)
hfi.integrableOn)
(average_mem_openSegment_compl_self (measurableSet_toMeasurable μ t).nullMeasurableSet h0
h0' hfi)
#align convex.average_mem_interior_of_set Convex.average_mem_interior_of_set
theorem StrictConvex.ae_eq_const_or_average_mem_interior [IsFiniteMeasure μ] (hs : StrictConvex ℝ s)
(hsc : IsClosed s) (hfs : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ) :
f =ᵐ[μ] const α (⨍ x, f x ∂μ) ∨ (⨍ x, f x ∂μ) ∈ interior s := by
have : ∀ {t}, μ t ≠ 0 → (⨍ x in t, f x ∂μ) ∈ s := fun ht =>
hs.convex.set_average_mem hsc ht (measure_ne_top _ _) (ae_restrict_of_ae hfs) hfi.integrableOn
refine (ae_eq_const_or_exists_average_ne_compl hfi).imp_right ?_
rintro ⟨t, hm, h₀, h₀', hne⟩
exact
hs.openSegment_subset (this h₀) (this h₀') hne
(average_mem_openSegment_compl_self hm.nullMeasurableSet h₀ h₀' hfi)
#align strict_convex.ae_eq_const_or_average_mem_interior StrictConvex.ae_eq_const_or_average_mem_interior
theorem StrictConvexOn.ae_eq_const_or_map_average_lt [IsFiniteMeasure μ] (hg : StrictConvexOn ℝ s g)
(hgc : ContinuousOn g s) (hsc : IsClosed s) (hfs : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ)
(hgi : Integrable (g ∘ f) μ) :
f =ᵐ[μ] const α (⨍ x, f x ∂μ) ∨ g (⨍ x, f x ∂μ) < ⨍ x, g (f x) ∂μ := by
have : ∀ {t}, μ t ≠ 0 → (⨍ x in t, f x ∂μ) ∈ s ∧ g (⨍ x in t, f x ∂μ) ≤ ⨍ x in t, g (f x) ∂μ :=
fun ht =>
hg.convexOn.set_average_mem_epigraph hgc hsc ht (measure_ne_top _ _) (ae_restrict_of_ae hfs)
hfi.integrableOn hgi.integrableOn
refine (ae_eq_const_or_exists_average_ne_compl hfi).imp_right ?_
rintro ⟨t, hm, h₀, h₀', hne⟩
rcases average_mem_openSegment_compl_self hm.nullMeasurableSet h₀ h₀' (hfi.prod_mk hgi) with
⟨a, b, ha, hb, hab, h_avg⟩
rw [average_pair hfi hgi, average_pair hfi.integrableOn hgi.integrableOn,
average_pair hfi.integrableOn hgi.integrableOn, Prod.smul_mk,
Prod.smul_mk, Prod.mk_add_mk, Prod.mk.inj_iff] at h_avg
simp only [Function.comp] at h_avg
rw [← h_avg.1, ← h_avg.2]
calc
g ((a • ⨍ x in t, f x ∂μ) + b • ⨍ x in tᶜ, f x ∂μ) <
a * g (⨍ x in t, f x ∂μ) + b * g (⨍ x in tᶜ, f x ∂μ) :=
hg.2 (this h₀).1 (this h₀').1 hne ha hb hab
_ ≤ (a * ⨍ x in t, g (f x) ∂μ) + b * ⨍ x in tᶜ, g (f x) ∂μ :=
add_le_add (mul_le_mul_of_nonneg_left (this h₀).2 ha.le)
(mul_le_mul_of_nonneg_left (this h₀').2 hb.le)
#align strict_convex_on.ae_eq_const_or_map_average_lt StrictConvexOn.ae_eq_const_or_map_average_lt
| Mathlib/Analysis/Convex/Integral.lean | 315 | 320 | theorem StrictConcaveOn.ae_eq_const_or_lt_map_average [IsFiniteMeasure μ]
(hg : StrictConcaveOn ℝ s g) (hgc : ContinuousOn g s) (hsc : IsClosed s)
(hfs : ∀ᵐ x ∂μ, f x ∈ s) (hfi : Integrable f μ) (hgi : Integrable (g ∘ f) μ) :
f =ᵐ[μ] const α (⨍ x, f x ∂μ) ∨ (⨍ x, g (f x) ∂μ) < g (⨍ x, f x ∂μ) := by |
simpa only [Pi.neg_apply, average_neg, neg_lt_neg_iff] using
hg.neg.ae_eq_const_or_map_average_lt hgc.neg hsc hfs hfi hgi.neg
|
import Mathlib.Logic.Pairwise
import Mathlib.Order.CompleteBooleanAlgebra
import Mathlib.Order.Directed
import Mathlib.Order.GaloisConnection
#align_import data.set.lattice from "leanprover-community/mathlib"@"b86832321b586c6ac23ef8cdef6a7a27e42b13bd"
open Function Set
universe u
variable {α β γ : Type*} {ι ι' ι₂ : Sort*} {κ κ₁ κ₂ : ι → Sort*} {κ' : ι' → Sort*}
namespace Set
theorem mem_iUnion₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋃ (i) (j), s i j) ↔ ∃ i j, x ∈ s i j := by
simp_rw [mem_iUnion]
#align set.mem_Union₂ Set.mem_iUnion₂
theorem mem_iInter₂ {x : γ} {s : ∀ i, κ i → Set γ} : (x ∈ ⋂ (i) (j), s i j) ↔ ∀ i j, x ∈ s i j := by
simp_rw [mem_iInter]
#align set.mem_Inter₂ Set.mem_iInter₂
theorem mem_iUnion_of_mem {s : ι → Set α} {a : α} (i : ι) (ha : a ∈ s i) : a ∈ ⋃ i, s i :=
mem_iUnion.2 ⟨i, ha⟩
#align set.mem_Union_of_mem Set.mem_iUnion_of_mem
theorem mem_iUnion₂_of_mem {s : ∀ i, κ i → Set α} {a : α} {i : ι} (j : κ i) (ha : a ∈ s i j) :
a ∈ ⋃ (i) (j), s i j :=
mem_iUnion₂.2 ⟨i, j, ha⟩
#align set.mem_Union₂_of_mem Set.mem_iUnion₂_of_mem
theorem mem_iInter_of_mem {s : ι → Set α} {a : α} (h : ∀ i, a ∈ s i) : a ∈ ⋂ i, s i :=
mem_iInter.2 h
#align set.mem_Inter_of_mem Set.mem_iInter_of_mem
theorem mem_iInter₂_of_mem {s : ∀ i, κ i → Set α} {a : α} (h : ∀ i j, a ∈ s i j) :
a ∈ ⋂ (i) (j), s i j :=
mem_iInter₂.2 h
#align set.mem_Inter₂_of_mem Set.mem_iInter₂_of_mem
instance completeAtomicBooleanAlgebra : CompleteAtomicBooleanAlgebra (Set α) :=
{ instBooleanAlgebraSet with
le_sSup := fun s t t_in a a_in => ⟨t, t_in, a_in⟩
sSup_le := fun s t h a ⟨t', ⟨t'_in, a_in⟩⟩ => h t' t'_in a_in
le_sInf := fun s t h a a_in t' t'_in => h t' t'_in a_in
sInf_le := fun s t t_in a h => h _ t_in
iInf_iSup_eq := by intros; ext; simp [Classical.skolem] }
instance : OrderTop (Set α) where
top := univ
le_top := by simp
@[congr]
theorem iUnion_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q)
(f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iUnion f₁ = iUnion f₂ :=
iSup_congr_Prop pq f
#align set.Union_congr_Prop Set.iUnion_congr_Prop
@[congr]
theorem iInter_congr_Prop {p q : Prop} {f₁ : p → Set α} {f₂ : q → Set α} (pq : p ↔ q)
(f : ∀ x, f₁ (pq.mpr x) = f₂ x) : iInter f₁ = iInter f₂ :=
iInf_congr_Prop pq f
#align set.Inter_congr_Prop Set.iInter_congr_Prop
theorem iUnion_plift_up (f : PLift ι → Set α) : ⋃ i, f (PLift.up i) = ⋃ i, f i :=
iSup_plift_up _
#align set.Union_plift_up Set.iUnion_plift_up
theorem iUnion_plift_down (f : ι → Set α) : ⋃ i, f (PLift.down i) = ⋃ i, f i :=
iSup_plift_down _
#align set.Union_plift_down Set.iUnion_plift_down
theorem iInter_plift_up (f : PLift ι → Set α) : ⋂ i, f (PLift.up i) = ⋂ i, f i :=
iInf_plift_up _
#align set.Inter_plift_up Set.iInter_plift_up
theorem iInter_plift_down (f : ι → Set α) : ⋂ i, f (PLift.down i) = ⋂ i, f i :=
iInf_plift_down _
#align set.Inter_plift_down Set.iInter_plift_down
theorem iUnion_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋃ _ : p, s = if p then s else ∅ :=
iSup_eq_if _
#align set.Union_eq_if Set.iUnion_eq_if
theorem iUnion_eq_dif {p : Prop} [Decidable p] (s : p → Set α) :
⋃ h : p, s h = if h : p then s h else ∅ :=
iSup_eq_dif _
#align set.Union_eq_dif Set.iUnion_eq_dif
theorem iInter_eq_if {p : Prop} [Decidable p] (s : Set α) : ⋂ _ : p, s = if p then s else univ :=
iInf_eq_if _
#align set.Inter_eq_if Set.iInter_eq_if
theorem iInf_eq_dif {p : Prop} [Decidable p] (s : p → Set α) :
⋂ h : p, s h = if h : p then s h else univ :=
_root_.iInf_eq_dif _
#align set.Infi_eq_dif Set.iInf_eq_dif
theorem exists_set_mem_of_union_eq_top {ι : Type*} (t : Set ι) (s : ι → Set β)
(w : ⋃ i ∈ t, s i = ⊤) (x : β) : ∃ i ∈ t, x ∈ s i := by
have p : x ∈ ⊤ := Set.mem_univ x
rw [← w, Set.mem_iUnion] at p
simpa using p
#align set.exists_set_mem_of_union_eq_top Set.exists_set_mem_of_union_eq_top
theorem nonempty_of_union_eq_top_of_nonempty {ι : Type*} (t : Set ι) (s : ι → Set α)
(H : Nonempty α) (w : ⋃ i ∈ t, s i = ⊤) : t.Nonempty := by
obtain ⟨x, m, -⟩ := exists_set_mem_of_union_eq_top t s w H.some
exact ⟨x, m⟩
#align set.nonempty_of_union_eq_top_of_nonempty Set.nonempty_of_union_eq_top_of_nonempty
theorem nonempty_of_nonempty_iUnion
{s : ι → Set α} (h_Union : (⋃ i, s i).Nonempty) : Nonempty ι := by
obtain ⟨x, hx⟩ := h_Union
exact ⟨Classical.choose <| mem_iUnion.mp hx⟩
theorem nonempty_of_nonempty_iUnion_eq_univ
{s : ι → Set α} [Nonempty α] (h_Union : ⋃ i, s i = univ) : Nonempty ι :=
nonempty_of_nonempty_iUnion (s := s) (by simpa only [h_Union] using univ_nonempty)
theorem setOf_exists (p : ι → β → Prop) : { x | ∃ i, p i x } = ⋃ i, { x | p i x } :=
ext fun _ => mem_iUnion.symm
#align set.set_of_exists Set.setOf_exists
theorem setOf_forall (p : ι → β → Prop) : { x | ∀ i, p i x } = ⋂ i, { x | p i x } :=
ext fun _ => mem_iInter.symm
#align set.set_of_forall Set.setOf_forall
theorem iUnion_subset {s : ι → Set α} {t : Set α} (h : ∀ i, s i ⊆ t) : ⋃ i, s i ⊆ t :=
iSup_le h
#align set.Union_subset Set.iUnion_subset
theorem iUnion₂_subset {s : ∀ i, κ i → Set α} {t : Set α} (h : ∀ i j, s i j ⊆ t) :
⋃ (i) (j), s i j ⊆ t :=
iUnion_subset fun x => iUnion_subset (h x)
#align set.Union₂_subset Set.iUnion₂_subset
theorem subset_iInter {t : Set β} {s : ι → Set β} (h : ∀ i, t ⊆ s i) : t ⊆ ⋂ i, s i :=
le_iInf h
#align set.subset_Inter Set.subset_iInter
theorem subset_iInter₂ {s : Set α} {t : ∀ i, κ i → Set α} (h : ∀ i j, s ⊆ t i j) :
s ⊆ ⋂ (i) (j), t i j :=
subset_iInter fun x => subset_iInter <| h x
#align set.subset_Inter₂ Set.subset_iInter₂
@[simp]
theorem iUnion_subset_iff {s : ι → Set α} {t : Set α} : ⋃ i, s i ⊆ t ↔ ∀ i, s i ⊆ t :=
⟨fun h _ => Subset.trans (le_iSup s _) h, iUnion_subset⟩
#align set.Union_subset_iff Set.iUnion_subset_iff
theorem iUnion₂_subset_iff {s : ∀ i, κ i → Set α} {t : Set α} :
⋃ (i) (j), s i j ⊆ t ↔ ∀ i j, s i j ⊆ t := by simp_rw [iUnion_subset_iff]
#align set.Union₂_subset_iff Set.iUnion₂_subset_iff
@[simp]
theorem subset_iInter_iff {s : Set α} {t : ι → Set α} : (s ⊆ ⋂ i, t i) ↔ ∀ i, s ⊆ t i :=
le_iInf_iff
#align set.subset_Inter_iff Set.subset_iInter_iff
-- Porting note (#10618): removing `simp`. `simp` can prove it
theorem subset_iInter₂_iff {s : Set α} {t : ∀ i, κ i → Set α} :
(s ⊆ ⋂ (i) (j), t i j) ↔ ∀ i j, s ⊆ t i j := by simp_rw [subset_iInter_iff]
#align set.subset_Inter₂_iff Set.subset_iInter₂_iff
theorem subset_iUnion : ∀ (s : ι → Set β) (i : ι), s i ⊆ ⋃ i, s i :=
le_iSup
#align set.subset_Union Set.subset_iUnion
theorem iInter_subset : ∀ (s : ι → Set β) (i : ι), ⋂ i, s i ⊆ s i :=
iInf_le
#align set.Inter_subset Set.iInter_subset
theorem subset_iUnion₂ {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : s i j ⊆ ⋃ (i') (j'), s i' j' :=
le_iSup₂ i j
#align set.subset_Union₂ Set.subset_iUnion₂
theorem iInter₂_subset {s : ∀ i, κ i → Set α} (i : ι) (j : κ i) : ⋂ (i) (j), s i j ⊆ s i j :=
iInf₂_le i j
#align set.Inter₂_subset Set.iInter₂_subset
theorem subset_iUnion_of_subset {s : Set α} {t : ι → Set α} (i : ι) (h : s ⊆ t i) : s ⊆ ⋃ i, t i :=
le_iSup_of_le i h
#align set.subset_Union_of_subset Set.subset_iUnion_of_subset
theorem iInter_subset_of_subset {s : ι → Set α} {t : Set α} (i : ι) (h : s i ⊆ t) :
⋂ i, s i ⊆ t :=
iInf_le_of_le i h
#align set.Inter_subset_of_subset Set.iInter_subset_of_subset
theorem subset_iUnion₂_of_subset {s : Set α} {t : ∀ i, κ i → Set α} (i : ι) (j : κ i)
(h : s ⊆ t i j) : s ⊆ ⋃ (i) (j), t i j :=
le_iSup₂_of_le i j h
#align set.subset_Union₂_of_subset Set.subset_iUnion₂_of_subset
theorem iInter₂_subset_of_subset {s : ∀ i, κ i → Set α} {t : Set α} (i : ι) (j : κ i)
(h : s i j ⊆ t) : ⋂ (i) (j), s i j ⊆ t :=
iInf₂_le_of_le i j h
#align set.Inter₂_subset_of_subset Set.iInter₂_subset_of_subset
theorem iUnion_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋃ i, s i ⊆ ⋃ i, t i :=
iSup_mono h
#align set.Union_mono Set.iUnion_mono
@[gcongr]
theorem iUnion_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iUnion s ⊆ iUnion t :=
iSup_mono h
theorem iUnion₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) :
⋃ (i) (j), s i j ⊆ ⋃ (i) (j), t i j :=
iSup₂_mono h
#align set.Union₂_mono Set.iUnion₂_mono
theorem iInter_mono {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : ⋂ i, s i ⊆ ⋂ i, t i :=
iInf_mono h
#align set.Inter_mono Set.iInter_mono
@[gcongr]
theorem iInter_mono'' {s t : ι → Set α} (h : ∀ i, s i ⊆ t i) : iInter s ⊆ iInter t :=
iInf_mono h
theorem iInter₂_mono {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j ⊆ t i j) :
⋂ (i) (j), s i j ⊆ ⋂ (i) (j), t i j :=
iInf₂_mono h
#align set.Inter₂_mono Set.iInter₂_mono
theorem iUnion_mono' {s : ι → Set α} {t : ι₂ → Set α} (h : ∀ i, ∃ j, s i ⊆ t j) :
⋃ i, s i ⊆ ⋃ i, t i :=
iSup_mono' h
#align set.Union_mono' Set.iUnion_mono'
theorem iUnion₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α}
(h : ∀ i j, ∃ i' j', s i j ⊆ t i' j') : ⋃ (i) (j), s i j ⊆ ⋃ (i') (j'), t i' j' :=
iSup₂_mono' h
#align set.Union₂_mono' Set.iUnion₂_mono'
theorem iInter_mono' {s : ι → Set α} {t : ι' → Set α} (h : ∀ j, ∃ i, s i ⊆ t j) :
⋂ i, s i ⊆ ⋂ j, t j :=
Set.subset_iInter fun j =>
let ⟨i, hi⟩ := h j
iInter_subset_of_subset i hi
#align set.Inter_mono' Set.iInter_mono'
theorem iInter₂_mono' {s : ∀ i, κ i → Set α} {t : ∀ i', κ' i' → Set α}
(h : ∀ i' j', ∃ i j, s i j ⊆ t i' j') : ⋂ (i) (j), s i j ⊆ ⋂ (i') (j'), t i' j' :=
subset_iInter₂_iff.2 fun i' j' =>
let ⟨_, _, hst⟩ := h i' j'
(iInter₂_subset _ _).trans hst
#align set.Inter₂_mono' Set.iInter₂_mono'
theorem iUnion₂_subset_iUnion (κ : ι → Sort*) (s : ι → Set α) :
⋃ (i) (_ : κ i), s i ⊆ ⋃ i, s i :=
iUnion_mono fun _ => iUnion_subset fun _ => Subset.rfl
#align set.Union₂_subset_Union Set.iUnion₂_subset_iUnion
theorem iInter_subset_iInter₂ (κ : ι → Sort*) (s : ι → Set α) :
⋂ i, s i ⊆ ⋂ (i) (_ : κ i), s i :=
iInter_mono fun _ => subset_iInter fun _ => Subset.rfl
#align set.Inter_subset_Inter₂ Set.iInter_subset_iInter₂
theorem iUnion_setOf (P : ι → α → Prop) : ⋃ i, { x : α | P i x } = { x : α | ∃ i, P i x } := by
ext
exact mem_iUnion
#align set.Union_set_of Set.iUnion_setOf
theorem iInter_setOf (P : ι → α → Prop) : ⋂ i, { x : α | P i x } = { x : α | ∀ i, P i x } := by
ext
exact mem_iInter
#align set.Inter_set_of Set.iInter_setOf
theorem iUnion_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h)
(h2 : ∀ x, g (h x) = f x) : ⋃ x, f x = ⋃ y, g y :=
h1.iSup_congr h h2
#align set.Union_congr_of_surjective Set.iUnion_congr_of_surjective
theorem iInter_congr_of_surjective {f : ι → Set α} {g : ι₂ → Set α} (h : ι → ι₂) (h1 : Surjective h)
(h2 : ∀ x, g (h x) = f x) : ⋂ x, f x = ⋂ y, g y :=
h1.iInf_congr h h2
#align set.Inter_congr_of_surjective Set.iInter_congr_of_surjective
lemma iUnion_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋃ i, s i = ⋃ i, t i := iSup_congr h
#align set.Union_congr Set.iUnion_congr
lemma iInter_congr {s t : ι → Set α} (h : ∀ i, s i = t i) : ⋂ i, s i = ⋂ i, t i := iInf_congr h
#align set.Inter_congr Set.iInter_congr
lemma iUnion₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) :
⋃ (i) (j), s i j = ⋃ (i) (j), t i j :=
iUnion_congr fun i => iUnion_congr <| h i
#align set.Union₂_congr Set.iUnion₂_congr
lemma iInter₂_congr {s t : ∀ i, κ i → Set α} (h : ∀ i j, s i j = t i j) :
⋂ (i) (j), s i j = ⋂ (i) (j), t i j :=
iInter_congr fun i => iInter_congr <| h i
#align set.Inter₂_congr Set.iInter₂_congr
@[simp]
theorem compl_iUnion (s : ι → Set β) : (⋃ i, s i)ᶜ = ⋂ i, (s i)ᶜ :=
compl_iSup
#align set.compl_Union Set.compl_iUnion
theorem compl_iUnion₂ (s : ∀ i, κ i → Set α) : (⋃ (i) (j), s i j)ᶜ = ⋂ (i) (j), (s i j)ᶜ := by
simp_rw [compl_iUnion]
#align set.compl_Union₂ Set.compl_iUnion₂
@[simp]
theorem compl_iInter (s : ι → Set β) : (⋂ i, s i)ᶜ = ⋃ i, (s i)ᶜ :=
compl_iInf
#align set.compl_Inter Set.compl_iInter
theorem compl_iInter₂ (s : ∀ i, κ i → Set α) : (⋂ (i) (j), s i j)ᶜ = ⋃ (i) (j), (s i j)ᶜ := by
simp_rw [compl_iInter]
#align set.compl_Inter₂ Set.compl_iInter₂
-- classical -- complete_boolean_algebra
theorem iUnion_eq_compl_iInter_compl (s : ι → Set β) : ⋃ i, s i = (⋂ i, (s i)ᶜ)ᶜ := by
simp only [compl_iInter, compl_compl]
#align set.Union_eq_compl_Inter_compl Set.iUnion_eq_compl_iInter_compl
-- classical -- complete_boolean_algebra
theorem iInter_eq_compl_iUnion_compl (s : ι → Set β) : ⋂ i, s i = (⋃ i, (s i)ᶜ)ᶜ := by
simp only [compl_iUnion, compl_compl]
#align set.Inter_eq_compl_Union_compl Set.iInter_eq_compl_iUnion_compl
theorem inter_iUnion (s : Set β) (t : ι → Set β) : (s ∩ ⋃ i, t i) = ⋃ i, s ∩ t i :=
inf_iSup_eq _ _
#align set.inter_Union Set.inter_iUnion
theorem iUnion_inter (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∩ s = ⋃ i, t i ∩ s :=
iSup_inf_eq _ _
#align set.Union_inter Set.iUnion_inter
theorem iUnion_union_distrib (s : ι → Set β) (t : ι → Set β) :
⋃ i, s i ∪ t i = (⋃ i, s i) ∪ ⋃ i, t i :=
iSup_sup_eq
#align set.Union_union_distrib Set.iUnion_union_distrib
theorem iInter_inter_distrib (s : ι → Set β) (t : ι → Set β) :
⋂ i, s i ∩ t i = (⋂ i, s i) ∩ ⋂ i, t i :=
iInf_inf_eq
#align set.Inter_inter_distrib Set.iInter_inter_distrib
theorem union_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∪ ⋃ i, t i) = ⋃ i, s ∪ t i :=
sup_iSup
#align set.union_Union Set.union_iUnion
theorem iUnion_union [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋃ i, t i) ∪ s = ⋃ i, t i ∪ s :=
iSup_sup
#align set.Union_union Set.iUnion_union
theorem inter_iInter [Nonempty ι] (s : Set β) (t : ι → Set β) : (s ∩ ⋂ i, t i) = ⋂ i, s ∩ t i :=
inf_iInf
#align set.inter_Inter Set.inter_iInter
theorem iInter_inter [Nonempty ι] (s : Set β) (t : ι → Set β) : (⋂ i, t i) ∩ s = ⋂ i, t i ∩ s :=
iInf_inf
#align set.Inter_inter Set.iInter_inter
-- classical
theorem union_iInter (s : Set β) (t : ι → Set β) : (s ∪ ⋂ i, t i) = ⋂ i, s ∪ t i :=
sup_iInf_eq _ _
#align set.union_Inter Set.union_iInter
theorem iInter_union (s : ι → Set β) (t : Set β) : (⋂ i, s i) ∪ t = ⋂ i, s i ∪ t :=
iInf_sup_eq _ _
#align set.Inter_union Set.iInter_union
theorem iUnion_diff (s : Set β) (t : ι → Set β) : (⋃ i, t i) \ s = ⋃ i, t i \ s :=
iUnion_inter _ _
#align set.Union_diff Set.iUnion_diff
theorem diff_iUnion [Nonempty ι] (s : Set β) (t : ι → Set β) : (s \ ⋃ i, t i) = ⋂ i, s \ t i := by
rw [diff_eq, compl_iUnion, inter_iInter]; rfl
#align set.diff_Union Set.diff_iUnion
theorem diff_iInter (s : Set β) (t : ι → Set β) : (s \ ⋂ i, t i) = ⋃ i, s \ t i := by
rw [diff_eq, compl_iInter, inter_iUnion]; rfl
#align set.diff_Inter Set.diff_iInter
theorem iUnion_inter_subset {ι α} {s t : ι → Set α} : ⋃ i, s i ∩ t i ⊆ (⋃ i, s i) ∩ ⋃ i, t i :=
le_iSup_inf_iSup s t
#align set.Union_inter_subset Set.iUnion_inter_subset
theorem iUnion_inter_of_monotone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α}
(hs : Monotone s) (ht : Monotone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i :=
iSup_inf_of_monotone hs ht
#align set.Union_inter_of_monotone Set.iUnion_inter_of_monotone
theorem iUnion_inter_of_antitone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α}
(hs : Antitone s) (ht : Antitone t) : ⋃ i, s i ∩ t i = (⋃ i, s i) ∩ ⋃ i, t i :=
iSup_inf_of_antitone hs ht
#align set.Union_inter_of_antitone Set.iUnion_inter_of_antitone
theorem iInter_union_of_monotone {ι α} [Preorder ι] [IsDirected ι (swap (· ≤ ·))] {s t : ι → Set α}
(hs : Monotone s) (ht : Monotone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i :=
iInf_sup_of_monotone hs ht
#align set.Inter_union_of_monotone Set.iInter_union_of_monotone
theorem iInter_union_of_antitone {ι α} [Preorder ι] [IsDirected ι (· ≤ ·)] {s t : ι → Set α}
(hs : Antitone s) (ht : Antitone t) : ⋂ i, s i ∪ t i = (⋂ i, s i) ∪ ⋂ i, t i :=
iInf_sup_of_antitone hs ht
#align set.Inter_union_of_antitone Set.iInter_union_of_antitone
theorem iUnion_iInter_subset {s : ι → ι' → Set α} : (⋃ j, ⋂ i, s i j) ⊆ ⋂ i, ⋃ j, s i j :=
iSup_iInf_le_iInf_iSup (flip s)
#align set.Union_Inter_subset Set.iUnion_iInter_subset
theorem iUnion_option {ι} (s : Option ι → Set α) : ⋃ o, s o = s none ∪ ⋃ i, s (some i) :=
iSup_option s
#align set.Union_option Set.iUnion_option
theorem iInter_option {ι} (s : Option ι → Set α) : ⋂ o, s o = s none ∩ ⋂ i, s (some i) :=
iInf_option s
#align set.Inter_option Set.iInter_option
section
variable (p : ι → Prop) [DecidablePred p]
theorem iUnion_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) :
⋃ i, (if h : p i then f i h else g i h) = (⋃ (i) (h : p i), f i h) ∪ ⋃ (i) (h : ¬p i), g i h :=
iSup_dite _ _ _
#align set.Union_dite Set.iUnion_dite
theorem iUnion_ite (f g : ι → Set α) :
⋃ i, (if p i then f i else g i) = (⋃ (i) (_ : p i), f i) ∪ ⋃ (i) (_ : ¬p i), g i :=
iUnion_dite _ _ _
#align set.Union_ite Set.iUnion_ite
theorem iInter_dite (f : ∀ i, p i → Set α) (g : ∀ i, ¬p i → Set α) :
⋂ i, (if h : p i then f i h else g i h) = (⋂ (i) (h : p i), f i h) ∩ ⋂ (i) (h : ¬p i), g i h :=
iInf_dite _ _ _
#align set.Inter_dite Set.iInter_dite
theorem iInter_ite (f g : ι → Set α) :
⋂ i, (if p i then f i else g i) = (⋂ (i) (_ : p i), f i) ∩ ⋂ (i) (_ : ¬p i), g i :=
iInter_dite _ _ _
#align set.Inter_ite Set.iInter_ite
end
theorem image_projection_prod {ι : Type*} {α : ι → Type*} {v : ∀ i : ι, Set (α i)}
(hv : (pi univ v).Nonempty) (i : ι) :
((fun x : ∀ i : ι, α i => x i) '' ⋂ k, (fun x : ∀ j : ι, α j => x k) ⁻¹' v k) = v i := by
classical
apply Subset.antisymm
· simp [iInter_subset]
· intro y y_in
simp only [mem_image, mem_iInter, mem_preimage]
rcases hv with ⟨z, hz⟩
refine ⟨Function.update z i y, ?_, update_same i y z⟩
rw [@forall_update_iff ι α _ z i y fun i t => t ∈ v i]
exact ⟨y_in, fun j _ => by simpa using hz j⟩
#align set.image_projection_prod Set.image_projection_prod
theorem iInter_false {s : False → Set α} : iInter s = univ :=
iInf_false
#align set.Inter_false Set.iInter_false
theorem iUnion_false {s : False → Set α} : iUnion s = ∅ :=
iSup_false
#align set.Union_false Set.iUnion_false
@[simp]
theorem iInter_true {s : True → Set α} : iInter s = s trivial :=
iInf_true
#align set.Inter_true Set.iInter_true
@[simp]
theorem iUnion_true {s : True → Set α} : iUnion s = s trivial :=
iSup_true
#align set.Union_true Set.iUnion_true
@[simp]
theorem iInter_exists {p : ι → Prop} {f : Exists p → Set α} :
⋂ x, f x = ⋂ (i) (h : p i), f ⟨i, h⟩ :=
iInf_exists
#align set.Inter_exists Set.iInter_exists
@[simp]
theorem iUnion_exists {p : ι → Prop} {f : Exists p → Set α} :
⋃ x, f x = ⋃ (i) (h : p i), f ⟨i, h⟩ :=
iSup_exists
#align set.Union_exists Set.iUnion_exists
@[simp]
theorem iUnion_empty : (⋃ _ : ι, ∅ : Set α) = ∅ :=
iSup_bot
#align set.Union_empty Set.iUnion_empty
@[simp]
theorem iInter_univ : (⋂ _ : ι, univ : Set α) = univ :=
iInf_top
#align set.Inter_univ Set.iInter_univ
section
variable {s : ι → Set α}
@[simp]
theorem iUnion_eq_empty : ⋃ i, s i = ∅ ↔ ∀ i, s i = ∅ :=
iSup_eq_bot
#align set.Union_eq_empty Set.iUnion_eq_empty
@[simp]
theorem iInter_eq_univ : ⋂ i, s i = univ ↔ ∀ i, s i = univ :=
iInf_eq_top
#align set.Inter_eq_univ Set.iInter_eq_univ
@[simp]
theorem nonempty_iUnion : (⋃ i, s i).Nonempty ↔ ∃ i, (s i).Nonempty := by
simp [nonempty_iff_ne_empty]
#align set.nonempty_Union Set.nonempty_iUnion
-- Porting note (#10618): removing `simp`. `simp` can prove it
theorem nonempty_biUnion {t : Set α} {s : α → Set β} :
(⋃ i ∈ t, s i).Nonempty ↔ ∃ i ∈ t, (s i).Nonempty := by simp
#align set.nonempty_bUnion Set.nonempty_biUnion
theorem iUnion_nonempty_index (s : Set α) (t : s.Nonempty → Set β) :
⋃ h, t h = ⋃ x ∈ s, t ⟨x, ‹_›⟩ :=
iSup_exists
#align set.Union_nonempty_index Set.iUnion_nonempty_index
end
@[simp]
theorem iInter_iInter_eq_left {b : β} {s : ∀ x : β, x = b → Set α} :
⋂ (x) (h : x = b), s x h = s b rfl :=
iInf_iInf_eq_left
#align set.Inter_Inter_eq_left Set.iInter_iInter_eq_left
@[simp]
theorem iInter_iInter_eq_right {b : β} {s : ∀ x : β, b = x → Set α} :
⋂ (x) (h : b = x), s x h = s b rfl :=
iInf_iInf_eq_right
#align set.Inter_Inter_eq_right Set.iInter_iInter_eq_right
@[simp]
theorem iUnion_iUnion_eq_left {b : β} {s : ∀ x : β, x = b → Set α} :
⋃ (x) (h : x = b), s x h = s b rfl :=
iSup_iSup_eq_left
#align set.Union_Union_eq_left Set.iUnion_iUnion_eq_left
@[simp]
theorem iUnion_iUnion_eq_right {b : β} {s : ∀ x : β, b = x → Set α} :
⋃ (x) (h : b = x), s x h = s b rfl :=
iSup_iSup_eq_right
#align set.Union_Union_eq_right Set.iUnion_iUnion_eq_right
theorem iInter_or {p q : Prop} (s : p ∨ q → Set α) :
⋂ h, s h = (⋂ h : p, s (Or.inl h)) ∩ ⋂ h : q, s (Or.inr h) :=
iInf_or
#align set.Inter_or Set.iInter_or
theorem iUnion_or {p q : Prop} (s : p ∨ q → Set α) :
⋃ h, s h = (⋃ i, s (Or.inl i)) ∪ ⋃ j, s (Or.inr j) :=
iSup_or
#align set.Union_or Set.iUnion_or
theorem iUnion_and {p q : Prop} (s : p ∧ q → Set α) : ⋃ h, s h = ⋃ (hp) (hq), s ⟨hp, hq⟩ :=
iSup_and
#align set.Union_and Set.iUnion_and
theorem iInter_and {p q : Prop} (s : p ∧ q → Set α) : ⋂ h, s h = ⋂ (hp) (hq), s ⟨hp, hq⟩ :=
iInf_and
#align set.Inter_and Set.iInter_and
theorem iUnion_comm (s : ι → ι' → Set α) : ⋃ (i) (i'), s i i' = ⋃ (i') (i), s i i' :=
iSup_comm
#align set.Union_comm Set.iUnion_comm
theorem iInter_comm (s : ι → ι' → Set α) : ⋂ (i) (i'), s i i' = ⋂ (i') (i), s i i' :=
iInf_comm
#align set.Inter_comm Set.iInter_comm
theorem iUnion_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋃ ia, s ia = ⋃ i, ⋃ a, s ⟨i, a⟩ :=
iSup_sigma
theorem iUnion_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) :
⋃ i, ⋃ a, s i a = ⋃ ia : Sigma γ, s ia.1 ia.2 :=
iSup_sigma' _
theorem iInter_sigma {γ : α → Type*} (s : Sigma γ → Set β) : ⋂ ia, s ia = ⋂ i, ⋂ a, s ⟨i, a⟩ :=
iInf_sigma
theorem iInter_sigma' {γ : α → Type*} (s : ∀ i, γ i → Set β) :
⋂ i, ⋂ a, s i a = ⋂ ia : Sigma γ, s ia.1 ia.2 :=
iInf_sigma' _
theorem iUnion₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) :
⋃ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋃ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ :=
iSup₂_comm _
#align set.Union₂_comm Set.iUnion₂_comm
theorem iInter₂_comm (s : ∀ i₁, κ₁ i₁ → ∀ i₂, κ₂ i₂ → Set α) :
⋂ (i₁) (j₁) (i₂) (j₂), s i₁ j₁ i₂ j₂ = ⋂ (i₂) (j₂) (i₁) (j₁), s i₁ j₁ i₂ j₂ :=
iInf₂_comm _
#align set.Inter₂_comm Set.iInter₂_comm
@[simp]
theorem biUnion_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) :
⋃ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h =
⋃ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by
simp only [iUnion_and, @iUnion_comm _ ι']
#align set.bUnion_and Set.biUnion_and
@[simp]
theorem biUnion_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) :
⋃ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h =
⋃ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by
simp only [iUnion_and, @iUnion_comm _ ι]
#align set.bUnion_and' Set.biUnion_and'
@[simp]
theorem biInter_and (p : ι → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p x ∧ q x y → Set α) :
⋂ (x : ι) (y : ι') (h : p x ∧ q x y), s x y h =
⋂ (x : ι) (hx : p x) (y : ι') (hy : q x y), s x y ⟨hx, hy⟩ := by
simp only [iInter_and, @iInter_comm _ ι']
#align set.bInter_and Set.biInter_and
@[simp]
theorem biInter_and' (p : ι' → Prop) (q : ι → ι' → Prop) (s : ∀ x y, p y ∧ q x y → Set α) :
⋂ (x : ι) (y : ι') (h : p y ∧ q x y), s x y h =
⋂ (y : ι') (hy : p y) (x : ι) (hx : q x y), s x y ⟨hy, hx⟩ := by
simp only [iInter_and, @iInter_comm _ ι]
#align set.bInter_and' Set.biInter_and'
@[simp]
theorem iUnion_iUnion_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} :
⋃ (x) (h), s x h = s b (Or.inl rfl) ∪ ⋃ (x) (h : p x), s x (Or.inr h) := by
simp only [iUnion_or, iUnion_union_distrib, iUnion_iUnion_eq_left]
#align set.Union_Union_eq_or_left Set.iUnion_iUnion_eq_or_left
@[simp]
theorem iInter_iInter_eq_or_left {b : β} {p : β → Prop} {s : ∀ x : β, x = b ∨ p x → Set α} :
⋂ (x) (h), s x h = s b (Or.inl rfl) ∩ ⋂ (x) (h : p x), s x (Or.inr h) := by
simp only [iInter_or, iInter_inter_distrib, iInter_iInter_eq_left]
#align set.Inter_Inter_eq_or_left Set.iInter_iInter_eq_or_left
theorem mem_biUnion {s : Set α} {t : α → Set β} {x : α} {y : β} (xs : x ∈ s) (ytx : y ∈ t x) :
y ∈ ⋃ x ∈ s, t x :=
mem_iUnion₂_of_mem xs ytx
#align set.mem_bUnion Set.mem_biUnion
theorem mem_biInter {s : Set α} {t : α → Set β} {y : β} (h : ∀ x ∈ s, y ∈ t x) :
y ∈ ⋂ x ∈ s, t x :=
mem_iInter₂_of_mem h
#align set.mem_bInter Set.mem_biInter
theorem subset_biUnion_of_mem {s : Set α} {u : α → Set β} {x : α} (xs : x ∈ s) :
u x ⊆ ⋃ x ∈ s, u x :=
-- Porting note: Why is this not just `subset_iUnion₂ x xs`?
@subset_iUnion₂ β α (· ∈ s) (fun i _ => u i) x xs
#align set.subset_bUnion_of_mem Set.subset_biUnion_of_mem
theorem biInter_subset_of_mem {s : Set α} {t : α → Set β} {x : α} (xs : x ∈ s) :
⋂ x ∈ s, t x ⊆ t x :=
iInter₂_subset x xs
#align set.bInter_subset_of_mem Set.biInter_subset_of_mem
theorem biUnion_subset_biUnion_left {s s' : Set α} {t : α → Set β} (h : s ⊆ s') :
⋃ x ∈ s, t x ⊆ ⋃ x ∈ s', t x :=
iUnion₂_subset fun _ hx => subset_biUnion_of_mem <| h hx
#align set.bUnion_subset_bUnion_left Set.biUnion_subset_biUnion_left
theorem biInter_subset_biInter_left {s s' : Set α} {t : α → Set β} (h : s' ⊆ s) :
⋂ x ∈ s, t x ⊆ ⋂ x ∈ s', t x :=
subset_iInter₂ fun _ hx => biInter_subset_of_mem <| h hx
#align set.bInter_subset_bInter_left Set.biInter_subset_biInter_left
theorem biUnion_mono {s s' : Set α} {t t' : α → Set β} (hs : s' ⊆ s) (h : ∀ x ∈ s, t x ⊆ t' x) :
⋃ x ∈ s', t x ⊆ ⋃ x ∈ s, t' x :=
(biUnion_subset_biUnion_left hs).trans <| iUnion₂_mono h
#align set.bUnion_mono Set.biUnion_mono
theorem biInter_mono {s s' : Set α} {t t' : α → Set β} (hs : s ⊆ s') (h : ∀ x ∈ s, t x ⊆ t' x) :
⋂ x ∈ s', t x ⊆ ⋂ x ∈ s, t' x :=
(biInter_subset_biInter_left hs).trans <| iInter₂_mono h
#align set.bInter_mono Set.biInter_mono
theorem biUnion_eq_iUnion (s : Set α) (t : ∀ x ∈ s, Set β) :
⋃ x ∈ s, t x ‹_› = ⋃ x : s, t x x.2 :=
iSup_subtype'
#align set.bUnion_eq_Union Set.biUnion_eq_iUnion
theorem biInter_eq_iInter (s : Set α) (t : ∀ x ∈ s, Set β) :
⋂ x ∈ s, t x ‹_› = ⋂ x : s, t x x.2 :=
iInf_subtype'
#align set.bInter_eq_Inter Set.biInter_eq_iInter
theorem iUnion_subtype (p : α → Prop) (s : { x // p x } → Set β) :
⋃ x : { x // p x }, s x = ⋃ (x) (hx : p x), s ⟨x, hx⟩ :=
iSup_subtype
#align set.Union_subtype Set.iUnion_subtype
theorem iInter_subtype (p : α → Prop) (s : { x // p x } → Set β) :
⋂ x : { x // p x }, s x = ⋂ (x) (hx : p x), s ⟨x, hx⟩ :=
iInf_subtype
#align set.Inter_subtype Set.iInter_subtype
theorem biInter_empty (u : α → Set β) : ⋂ x ∈ (∅ : Set α), u x = univ :=
iInf_emptyset
#align set.bInter_empty Set.biInter_empty
theorem biInter_univ (u : α → Set β) : ⋂ x ∈ @univ α, u x = ⋂ x, u x :=
iInf_univ
#align set.bInter_univ Set.biInter_univ
@[simp]
theorem biUnion_self (s : Set α) : ⋃ x ∈ s, s = s :=
Subset.antisymm (iUnion₂_subset fun _ _ => Subset.refl s) fun _ hx => mem_biUnion hx hx
#align set.bUnion_self Set.biUnion_self
@[simp]
theorem iUnion_nonempty_self (s : Set α) : ⋃ _ : s.Nonempty, s = s := by
rw [iUnion_nonempty_index, biUnion_self]
#align set.Union_nonempty_self Set.iUnion_nonempty_self
theorem biInter_singleton (a : α) (s : α → Set β) : ⋂ x ∈ ({a} : Set α), s x = s a :=
iInf_singleton
#align set.bInter_singleton Set.biInter_singleton
theorem biInter_union (s t : Set α) (u : α → Set β) :
⋂ x ∈ s ∪ t, u x = (⋂ x ∈ s, u x) ∩ ⋂ x ∈ t, u x :=
iInf_union
#align set.bInter_union Set.biInter_union
theorem biInter_insert (a : α) (s : Set α) (t : α → Set β) :
⋂ x ∈ insert a s, t x = t a ∩ ⋂ x ∈ s, t x := by simp
#align set.bInter_insert Set.biInter_insert
theorem biInter_pair (a b : α) (s : α → Set β) : ⋂ x ∈ ({a, b} : Set α), s x = s a ∩ s b := by
rw [biInter_insert, biInter_singleton]
#align set.bInter_pair Set.biInter_pair
theorem biInter_inter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) :
⋂ i ∈ s, f i ∩ t = (⋂ i ∈ s, f i) ∩ t := by
haveI : Nonempty s := hs.to_subtype
simp [biInter_eq_iInter, ← iInter_inter]
#align set.bInter_inter Set.biInter_inter
theorem inter_biInter {ι α : Type*} {s : Set ι} (hs : s.Nonempty) (f : ι → Set α) (t : Set α) :
⋂ i ∈ s, t ∩ f i = t ∩ ⋂ i ∈ s, f i := by
rw [inter_comm, ← biInter_inter hs]
simp [inter_comm]
#align set.inter_bInter Set.inter_biInter
theorem biUnion_empty (s : α → Set β) : ⋃ x ∈ (∅ : Set α), s x = ∅ :=
iSup_emptyset
#align set.bUnion_empty Set.biUnion_empty
theorem biUnion_univ (s : α → Set β) : ⋃ x ∈ @univ α, s x = ⋃ x, s x :=
iSup_univ
#align set.bUnion_univ Set.biUnion_univ
theorem biUnion_singleton (a : α) (s : α → Set β) : ⋃ x ∈ ({a} : Set α), s x = s a :=
iSup_singleton
#align set.bUnion_singleton Set.biUnion_singleton
@[simp]
theorem biUnion_of_singleton (s : Set α) : ⋃ x ∈ s, {x} = s :=
ext <| by simp
#align set.bUnion_of_singleton Set.biUnion_of_singleton
theorem biUnion_union (s t : Set α) (u : α → Set β) :
⋃ x ∈ s ∪ t, u x = (⋃ x ∈ s, u x) ∪ ⋃ x ∈ t, u x :=
iSup_union
#align set.bUnion_union Set.biUnion_union
@[simp]
theorem iUnion_coe_set {α β : Type*} (s : Set α) (f : s → Set β) :
⋃ i, f i = ⋃ i ∈ s, f ⟨i, ‹i ∈ s›⟩ :=
iUnion_subtype _ _
#align set.Union_coe_set Set.iUnion_coe_set
@[simp]
theorem iInter_coe_set {α β : Type*} (s : Set α) (f : s → Set β) :
⋂ i, f i = ⋂ i ∈ s, f ⟨i, ‹i ∈ s›⟩ :=
iInter_subtype _ _
#align set.Inter_coe_set Set.iInter_coe_set
theorem biUnion_insert (a : α) (s : Set α) (t : α → Set β) :
⋃ x ∈ insert a s, t x = t a ∪ ⋃ x ∈ s, t x := by simp
#align set.bUnion_insert Set.biUnion_insert
theorem biUnion_pair (a b : α) (s : α → Set β) : ⋃ x ∈ ({a, b} : Set α), s x = s a ∪ s b := by
simp
#align set.bUnion_pair Set.biUnion_pair
theorem inter_iUnion₂ (s : Set α) (t : ∀ i, κ i → Set α) :
(s ∩ ⋃ (i) (j), t i j) = ⋃ (i) (j), s ∩ t i j := by simp only [inter_iUnion]
#align set.inter_Union₂ Set.inter_iUnion₂
theorem iUnion₂_inter (s : ∀ i, κ i → Set α) (t : Set α) :
(⋃ (i) (j), s i j) ∩ t = ⋃ (i) (j), s i j ∩ t := by simp_rw [iUnion_inter]
#align set.Union₂_inter Set.iUnion₂_inter
theorem union_iInter₂ (s : Set α) (t : ∀ i, κ i → Set α) :
(s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by simp_rw [union_iInter]
#align set.union_Inter₂ Set.union_iInter₂
theorem iInter₂_union (s : ∀ i, κ i → Set α) (t : Set α) :
(⋂ (i) (j), s i j) ∪ t = ⋂ (i) (j), s i j ∪ t := by simp_rw [iInter_union]
#align set.Inter₂_union Set.iInter₂_union
theorem mem_sUnion_of_mem {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∈ t) (ht : t ∈ S) :
x ∈ ⋃₀S :=
⟨t, ht, hx⟩
#align set.mem_sUnion_of_mem Set.mem_sUnion_of_mem
-- is this theorem really necessary?
theorem not_mem_of_not_mem_sUnion {x : α} {t : Set α} {S : Set (Set α)} (hx : x ∉ ⋃₀S)
(ht : t ∈ S) : x ∉ t := fun h => hx ⟨t, ht, h⟩
#align set.not_mem_of_not_mem_sUnion Set.not_mem_of_not_mem_sUnion
theorem sInter_subset_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : ⋂₀ S ⊆ t :=
sInf_le tS
#align set.sInter_subset_of_mem Set.sInter_subset_of_mem
theorem subset_sUnion_of_mem {S : Set (Set α)} {t : Set α} (tS : t ∈ S) : t ⊆ ⋃₀S :=
le_sSup tS
#align set.subset_sUnion_of_mem Set.subset_sUnion_of_mem
theorem subset_sUnion_of_subset {s : Set α} (t : Set (Set α)) (u : Set α) (h₁ : s ⊆ u)
(h₂ : u ∈ t) : s ⊆ ⋃₀t :=
Subset.trans h₁ (subset_sUnion_of_mem h₂)
#align set.subset_sUnion_of_subset Set.subset_sUnion_of_subset
theorem sUnion_subset {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t' ⊆ t) : ⋃₀S ⊆ t :=
sSup_le h
#align set.sUnion_subset Set.sUnion_subset
@[simp]
theorem sUnion_subset_iff {s : Set (Set α)} {t : Set α} : ⋃₀s ⊆ t ↔ ∀ t' ∈ s, t' ⊆ t :=
sSup_le_iff
#align set.sUnion_subset_iff Set.sUnion_subset_iff
lemma sUnion_mono_subsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, t ⊆ f t) :
⋃₀ s ⊆ ⋃₀ (f '' s) :=
fun _ ⟨t, htx, hxt⟩ ↦ ⟨f t, mem_image_of_mem f htx, hf t hxt⟩
lemma sUnion_mono_supsets {s : Set (Set α)} {f : Set α → Set α} (hf : ∀ t : Set α, f t ⊆ t) :
⋃₀ (f '' s) ⊆ ⋃₀ s :=
-- If t ∈ f '' s is arbitrary; t = f u for some u : Set α.
fun _ ⟨_, ⟨u, hus, hut⟩, hxt⟩ ↦ ⟨u, hus, (hut ▸ hf u) hxt⟩
theorem subset_sInter {S : Set (Set α)} {t : Set α} (h : ∀ t' ∈ S, t ⊆ t') : t ⊆ ⋂₀ S :=
le_sInf h
#align set.subset_sInter Set.subset_sInter
@[simp]
theorem subset_sInter_iff {S : Set (Set α)} {t : Set α} : t ⊆ ⋂₀ S ↔ ∀ t' ∈ S, t ⊆ t' :=
le_sInf_iff
#align set.subset_sInter_iff Set.subset_sInter_iff
@[gcongr]
theorem sUnion_subset_sUnion {S T : Set (Set α)} (h : S ⊆ T) : ⋃₀S ⊆ ⋃₀T :=
sUnion_subset fun _ hs => subset_sUnion_of_mem (h hs)
#align set.sUnion_subset_sUnion Set.sUnion_subset_sUnion
@[gcongr]
theorem sInter_subset_sInter {S T : Set (Set α)} (h : S ⊆ T) : ⋂₀ T ⊆ ⋂₀ S :=
subset_sInter fun _ hs => sInter_subset_of_mem (h hs)
#align set.sInter_subset_sInter Set.sInter_subset_sInter
@[simp]
theorem sUnion_empty : ⋃₀∅ = (∅ : Set α) :=
sSup_empty
#align set.sUnion_empty Set.sUnion_empty
@[simp]
theorem sInter_empty : ⋂₀ ∅ = (univ : Set α) :=
sInf_empty
#align set.sInter_empty Set.sInter_empty
@[simp]
theorem sUnion_singleton (s : Set α) : ⋃₀{s} = s :=
sSup_singleton
#align set.sUnion_singleton Set.sUnion_singleton
@[simp]
theorem sInter_singleton (s : Set α) : ⋂₀ {s} = s :=
sInf_singleton
#align set.sInter_singleton Set.sInter_singleton
@[simp]
theorem sUnion_eq_empty {S : Set (Set α)} : ⋃₀S = ∅ ↔ ∀ s ∈ S, s = ∅ :=
sSup_eq_bot
#align set.sUnion_eq_empty Set.sUnion_eq_empty
@[simp]
theorem sInter_eq_univ {S : Set (Set α)} : ⋂₀ S = univ ↔ ∀ s ∈ S, s = univ :=
sInf_eq_top
#align set.sInter_eq_univ Set.sInter_eq_univ
theorem subset_powerset_iff {s : Set (Set α)} {t : Set α} : s ⊆ 𝒫 t ↔ ⋃₀ s ⊆ t :=
sUnion_subset_iff.symm
theorem sUnion_powerset_gc :
GaloisConnection (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) :=
gc_sSup_Iic
def sUnion_powerset_gi :
GaloisInsertion (⋃₀ · : Set (Set α) → Set α) (𝒫 · : Set α → Set (Set α)) :=
gi_sSup_Iic
theorem sUnion_mem_empty_univ {S : Set (Set α)} (h : S ⊆ {∅, univ}) :
⋃₀ S ∈ ({∅, univ} : Set (Set α)) := by
simp only [mem_insert_iff, mem_singleton_iff, or_iff_not_imp_left, sUnion_eq_empty, not_forall]
rintro ⟨s, hs, hne⟩
obtain rfl : s = univ := (h hs).resolve_left hne
exact univ_subset_iff.1 <| subset_sUnion_of_mem hs
@[simp]
theorem nonempty_sUnion {S : Set (Set α)} : (⋃₀S).Nonempty ↔ ∃ s ∈ S, Set.Nonempty s := by
simp [nonempty_iff_ne_empty]
#align set.nonempty_sUnion Set.nonempty_sUnion
theorem Nonempty.of_sUnion {s : Set (Set α)} (h : (⋃₀s).Nonempty) : s.Nonempty :=
let ⟨s, hs, _⟩ := nonempty_sUnion.1 h
⟨s, hs⟩
#align set.nonempty.of_sUnion Set.Nonempty.of_sUnion
theorem Nonempty.of_sUnion_eq_univ [Nonempty α] {s : Set (Set α)} (h : ⋃₀s = univ) : s.Nonempty :=
Nonempty.of_sUnion <| h.symm ▸ univ_nonempty
#align set.nonempty.of_sUnion_eq_univ Set.Nonempty.of_sUnion_eq_univ
theorem sUnion_union (S T : Set (Set α)) : ⋃₀(S ∪ T) = ⋃₀S ∪ ⋃₀T :=
sSup_union
#align set.sUnion_union Set.sUnion_union
theorem sInter_union (S T : Set (Set α)) : ⋂₀ (S ∪ T) = ⋂₀ S ∩ ⋂₀ T :=
sInf_union
#align set.sInter_union Set.sInter_union
@[simp]
theorem sUnion_insert (s : Set α) (T : Set (Set α)) : ⋃₀insert s T = s ∪ ⋃₀T :=
sSup_insert
#align set.sUnion_insert Set.sUnion_insert
@[simp]
theorem sInter_insert (s : Set α) (T : Set (Set α)) : ⋂₀ insert s T = s ∩ ⋂₀ T :=
sInf_insert
#align set.sInter_insert Set.sInter_insert
@[simp]
theorem sUnion_diff_singleton_empty (s : Set (Set α)) : ⋃₀(s \ {∅}) = ⋃₀s :=
sSup_diff_singleton_bot s
#align set.sUnion_diff_singleton_empty Set.sUnion_diff_singleton_empty
@[simp]
theorem sInter_diff_singleton_univ (s : Set (Set α)) : ⋂₀ (s \ {univ}) = ⋂₀ s :=
sInf_diff_singleton_top s
#align set.sInter_diff_singleton_univ Set.sInter_diff_singleton_univ
theorem sUnion_pair (s t : Set α) : ⋃₀{s, t} = s ∪ t :=
sSup_pair
#align set.sUnion_pair Set.sUnion_pair
theorem sInter_pair (s t : Set α) : ⋂₀ {s, t} = s ∩ t :=
sInf_pair
#align set.sInter_pair Set.sInter_pair
@[simp]
theorem sUnion_image (f : α → Set β) (s : Set α) : ⋃₀(f '' s) = ⋃ x ∈ s, f x :=
sSup_image
#align set.sUnion_image Set.sUnion_image
@[simp]
theorem sInter_image (f : α → Set β) (s : Set α) : ⋂₀ (f '' s) = ⋂ x ∈ s, f x :=
sInf_image
#align set.sInter_image Set.sInter_image
@[simp]
theorem sUnion_range (f : ι → Set β) : ⋃₀range f = ⋃ x, f x :=
rfl
#align set.sUnion_range Set.sUnion_range
@[simp]
theorem sInter_range (f : ι → Set β) : ⋂₀ range f = ⋂ x, f x :=
rfl
#align set.sInter_range Set.sInter_range
theorem iUnion_eq_univ_iff {f : ι → Set α} : ⋃ i, f i = univ ↔ ∀ x, ∃ i, x ∈ f i := by
simp only [eq_univ_iff_forall, mem_iUnion]
#align set.Union_eq_univ_iff Set.iUnion_eq_univ_iff
theorem iUnion₂_eq_univ_iff {s : ∀ i, κ i → Set α} :
⋃ (i) (j), s i j = univ ↔ ∀ a, ∃ i j, a ∈ s i j := by
simp only [iUnion_eq_univ_iff, mem_iUnion]
#align set.Union₂_eq_univ_iff Set.iUnion₂_eq_univ_iff
theorem sUnion_eq_univ_iff {c : Set (Set α)} : ⋃₀c = univ ↔ ∀ a, ∃ b ∈ c, a ∈ b := by
simp only [eq_univ_iff_forall, mem_sUnion]
#align set.sUnion_eq_univ_iff Set.sUnion_eq_univ_iff
-- classical
theorem iInter_eq_empty_iff {f : ι → Set α} : ⋂ i, f i = ∅ ↔ ∀ x, ∃ i, x ∉ f i := by
simp [Set.eq_empty_iff_forall_not_mem]
#align set.Inter_eq_empty_iff Set.iInter_eq_empty_iff
-- classical
theorem iInter₂_eq_empty_iff {s : ∀ i, κ i → Set α} :
⋂ (i) (j), s i j = ∅ ↔ ∀ a, ∃ i j, a ∉ s i j := by
simp only [eq_empty_iff_forall_not_mem, mem_iInter, not_forall]
#align set.Inter₂_eq_empty_iff Set.iInter₂_eq_empty_iff
-- classical
theorem sInter_eq_empty_iff {c : Set (Set α)} : ⋂₀ c = ∅ ↔ ∀ a, ∃ b ∈ c, a ∉ b := by
simp [Set.eq_empty_iff_forall_not_mem]
#align set.sInter_eq_empty_iff Set.sInter_eq_empty_iff
-- classical
@[simp]
theorem nonempty_iInter {f : ι → Set α} : (⋂ i, f i).Nonempty ↔ ∃ x, ∀ i, x ∈ f i := by
simp [nonempty_iff_ne_empty, iInter_eq_empty_iff]
#align set.nonempty_Inter Set.nonempty_iInter
-- classical
-- Porting note (#10618): removing `simp`. `simp` can prove it
theorem nonempty_iInter₂ {s : ∀ i, κ i → Set α} :
(⋂ (i) (j), s i j).Nonempty ↔ ∃ a, ∀ i j, a ∈ s i j := by
simp
#align set.nonempty_Inter₂ Set.nonempty_iInter₂
-- classical
@[simp]
theorem nonempty_sInter {c : Set (Set α)} : (⋂₀ c).Nonempty ↔ ∃ a, ∀ b ∈ c, a ∈ b := by
simp [nonempty_iff_ne_empty, sInter_eq_empty_iff]
#align set.nonempty_sInter Set.nonempty_sInter
-- classical
theorem compl_sUnion (S : Set (Set α)) : (⋃₀S)ᶜ = ⋂₀ (compl '' S) :=
ext fun x => by simp
#align set.compl_sUnion Set.compl_sUnion
-- classical
theorem sUnion_eq_compl_sInter_compl (S : Set (Set α)) : ⋃₀S = (⋂₀ (compl '' S))ᶜ := by
rw [← compl_compl (⋃₀S), compl_sUnion]
#align set.sUnion_eq_compl_sInter_compl Set.sUnion_eq_compl_sInter_compl
-- classical
theorem compl_sInter (S : Set (Set α)) : (⋂₀ S)ᶜ = ⋃₀(compl '' S) := by
rw [sUnion_eq_compl_sInter_compl, compl_compl_image]
#align set.compl_sInter Set.compl_sInter
-- classical
theorem sInter_eq_compl_sUnion_compl (S : Set (Set α)) : ⋂₀ S = (⋃₀(compl '' S))ᶜ := by
rw [← compl_compl (⋂₀ S), compl_sInter]
#align set.sInter_eq_compl_sUnion_compl Set.sInter_eq_compl_sUnion_compl
theorem inter_empty_of_inter_sUnion_empty {s t : Set α} {S : Set (Set α)} (hs : t ∈ S)
(h : s ∩ ⋃₀S = ∅) : s ∩ t = ∅ :=
eq_empty_of_subset_empty <| by
rw [← h]; exact inter_subset_inter_right _ (subset_sUnion_of_mem hs)
#align set.inter_empty_of_inter_sUnion_empty Set.inter_empty_of_inter_sUnion_empty
theorem range_sigma_eq_iUnion_range {γ : α → Type*} (f : Sigma γ → β) :
range f = ⋃ a, range fun b => f ⟨a, b⟩ :=
Set.ext <| by simp
#align set.range_sigma_eq_Union_range Set.range_sigma_eq_iUnion_range
theorem iUnion_eq_range_sigma (s : α → Set β) : ⋃ i, s i = range fun a : Σi, s i => a.2 := by
simp [Set.ext_iff]
#align set.Union_eq_range_sigma Set.iUnion_eq_range_sigma
theorem iUnion_eq_range_psigma (s : ι → Set β) : ⋃ i, s i = range fun a : Σ'i, s i => a.2 := by
simp [Set.ext_iff]
#align set.Union_eq_range_psigma Set.iUnion_eq_range_psigma
theorem iUnion_image_preimage_sigma_mk_eq_self {ι : Type*} {σ : ι → Type*} (s : Set (Sigma σ)) :
⋃ i, Sigma.mk i '' (Sigma.mk i ⁻¹' s) = s := by
ext x
simp only [mem_iUnion, mem_image, mem_preimage]
constructor
· rintro ⟨i, a, h, rfl⟩
exact h
· intro h
cases' x with i a
exact ⟨i, a, h, rfl⟩
#align set.Union_image_preimage_sigma_mk_eq_self Set.iUnion_image_preimage_sigma_mk_eq_self
theorem Sigma.univ (X : α → Type*) : (Set.univ : Set (Σa, X a)) = ⋃ a, range (Sigma.mk a) :=
Set.ext fun x =>
iff_of_true trivial ⟨range (Sigma.mk x.1), Set.mem_range_self _, x.2, Sigma.eta x⟩
#align set.sigma.univ Set.Sigma.univ
alias sUnion_mono := sUnion_subset_sUnion
#align set.sUnion_mono Set.sUnion_mono
theorem iUnion_subset_iUnion_const {s : Set α} (h : ι → ι₂) : ⋃ _ : ι, s ⊆ ⋃ _ : ι₂, s :=
iSup_const_mono (α := Set α) h
#align set.Union_subset_Union_const Set.iUnion_subset_iUnion_const
@[simp]
theorem iUnion_singleton_eq_range {α β : Type*} (f : α → β) : ⋃ x : α, {f x} = range f := by
ext x
simp [@eq_comm _ x]
#align set.Union_singleton_eq_range Set.iUnion_singleton_eq_range
theorem iUnion_of_singleton (α : Type*) : (⋃ x, {x} : Set α) = univ := by simp [Set.ext_iff]
#align set.Union_of_singleton Set.iUnion_of_singleton
theorem iUnion_of_singleton_coe (s : Set α) : ⋃ i : s, ({(i : α)} : Set α) = s := by simp
#align set.Union_of_singleton_coe Set.iUnion_of_singleton_coe
theorem sUnion_eq_biUnion {s : Set (Set α)} : ⋃₀s = ⋃ (i : Set α) (_ : i ∈ s), i := by
rw [← sUnion_image, image_id']
#align set.sUnion_eq_bUnion Set.sUnion_eq_biUnion
theorem sInter_eq_biInter {s : Set (Set α)} : ⋂₀ s = ⋂ (i : Set α) (_ : i ∈ s), i := by
rw [← sInter_image, image_id']
#align set.sInter_eq_bInter Set.sInter_eq_biInter
theorem sUnion_eq_iUnion {s : Set (Set α)} : ⋃₀s = ⋃ i : s, i := by
simp only [← sUnion_range, Subtype.range_coe]
#align set.sUnion_eq_Union Set.sUnion_eq_iUnion
theorem sInter_eq_iInter {s : Set (Set α)} : ⋂₀ s = ⋂ i : s, i := by
simp only [← sInter_range, Subtype.range_coe]
#align set.sInter_eq_Inter Set.sInter_eq_iInter
@[simp]
theorem iUnion_of_empty [IsEmpty ι] (s : ι → Set α) : ⋃ i, s i = ∅ :=
iSup_of_empty _
#align set.Union_of_empty Set.iUnion_of_empty
@[simp]
theorem iInter_of_empty [IsEmpty ι] (s : ι → Set α) : ⋂ i, s i = univ :=
iInf_of_empty _
#align set.Inter_of_empty Set.iInter_of_empty
theorem union_eq_iUnion {s₁ s₂ : Set α} : s₁ ∪ s₂ = ⋃ b : Bool, cond b s₁ s₂ :=
sup_eq_iSup s₁ s₂
#align set.union_eq_Union Set.union_eq_iUnion
theorem inter_eq_iInter {s₁ s₂ : Set α} : s₁ ∩ s₂ = ⋂ b : Bool, cond b s₁ s₂ :=
inf_eq_iInf s₁ s₂
#align set.inter_eq_Inter Set.inter_eq_iInter
theorem sInter_union_sInter {S T : Set (Set α)} :
⋂₀ S ∪ ⋂₀ T = ⋂ p ∈ S ×ˢ T, (p : Set α × Set α).1 ∪ p.2 :=
sInf_sup_sInf
#align set.sInter_union_sInter Set.sInter_union_sInter
theorem sUnion_inter_sUnion {s t : Set (Set α)} :
⋃₀s ∩ ⋃₀t = ⋃ p ∈ s ×ˢ t, (p : Set α × Set α).1 ∩ p.2 :=
sSup_inf_sSup
#align set.sUnion_inter_sUnion Set.sUnion_inter_sUnion
theorem biUnion_iUnion (s : ι → Set α) (t : α → Set β) :
⋃ x ∈ ⋃ i, s i, t x = ⋃ (i) (x ∈ s i), t x := by simp [@iUnion_comm _ ι]
#align set.bUnion_Union Set.biUnion_iUnion
theorem biInter_iUnion (s : ι → Set α) (t : α → Set β) :
⋂ x ∈ ⋃ i, s i, t x = ⋂ (i) (x ∈ s i), t x := by simp [@iInter_comm _ ι]
#align set.bInter_Union Set.biInter_iUnion
theorem sUnion_iUnion (s : ι → Set (Set α)) : ⋃₀⋃ i, s i = ⋃ i, ⋃₀s i := by
simp only [sUnion_eq_biUnion, biUnion_iUnion]
#align set.sUnion_Union Set.sUnion_iUnion
theorem sInter_iUnion (s : ι → Set (Set α)) : ⋂₀ ⋃ i, s i = ⋂ i, ⋂₀ s i := by
simp only [sInter_eq_biInter, biInter_iUnion]
#align set.sInter_Union Set.sInter_iUnion
theorem iUnion_range_eq_sUnion {α β : Type*} (C : Set (Set α)) {f : ∀ s : C, β → (s : Type _)}
(hf : ∀ s : C, Surjective (f s)) : ⋃ y : β, range (fun s : C => (f s y).val) = ⋃₀C := by
ext x; constructor
· rintro ⟨s, ⟨y, rfl⟩, ⟨s, hs⟩, rfl⟩
refine ⟨_, hs, ?_⟩
exact (f ⟨s, hs⟩ y).2
· rintro ⟨s, hs, hx⟩
cases' hf ⟨s, hs⟩ ⟨x, hx⟩ with y hy
refine ⟨_, ⟨y, rfl⟩, ⟨s, hs⟩, ?_⟩
exact congr_arg Subtype.val hy
#align set.Union_range_eq_sUnion Set.iUnion_range_eq_sUnion
theorem iUnion_range_eq_iUnion (C : ι → Set α) {f : ∀ x : ι, β → C x}
(hf : ∀ x : ι, Surjective (f x)) : ⋃ y : β, range (fun x : ι => (f x y).val) = ⋃ x, C x := by
ext x; rw [mem_iUnion, mem_iUnion]; constructor
· rintro ⟨y, i, rfl⟩
exact ⟨i, (f i y).2⟩
· rintro ⟨i, hx⟩
cases' hf i ⟨x, hx⟩ with y hy
exact ⟨y, i, congr_arg Subtype.val hy⟩
#align set.Union_range_eq_Union Set.iUnion_range_eq_iUnion
theorem union_distrib_iInter_left (s : ι → Set α) (t : Set α) : (t ∪ ⋂ i, s i) = ⋂ i, t ∪ s i :=
sup_iInf_eq _ _
#align set.union_distrib_Inter_left Set.union_distrib_iInter_left
| Mathlib/Data/Set/Lattice.lean | 1,392 | 1,393 | theorem union_distrib_iInter₂_left (s : Set α) (t : ∀ i, κ i → Set α) :
(s ∪ ⋂ (i) (j), t i j) = ⋂ (i) (j), s ∪ t i j := by | simp_rw [union_distrib_iInter_left]
|
import Mathlib.Probability.IdentDistrib
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.Analysis.SpecificLimits.FloorPow
import Mathlib.Analysis.PSeries
import Mathlib.Analysis.Asymptotics.SpecificAsymptotics
#align_import probability.strong_law from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open MeasureTheory Filter Finset Asymptotics
open Set (indicator)
open scoped Topology MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
section Truncation
variable {α : Type*}
def truncation (f : α → ℝ) (A : ℝ) :=
indicator (Set.Ioc (-A) A) id ∘ f
#align probability_theory.truncation ProbabilityTheory.truncation
variable {m : MeasurableSpace α} {μ : Measure α} {f : α → ℝ}
theorem _root_.MeasureTheory.AEStronglyMeasurable.truncation (hf : AEStronglyMeasurable f μ)
{A : ℝ} : AEStronglyMeasurable (truncation f A) μ := by
apply AEStronglyMeasurable.comp_aemeasurable _ hf.aemeasurable
exact (stronglyMeasurable_id.indicator measurableSet_Ioc).aestronglyMeasurable
#align measure_theory.ae_strongly_measurable.truncation MeasureTheory.AEStronglyMeasurable.truncation
theorem abs_truncation_le_bound (f : α → ℝ) (A : ℝ) (x : α) : |truncation f A x| ≤ |A| := by
simp only [truncation, Set.indicator, Set.mem_Icc, id, Function.comp_apply]
split_ifs with h
· exact abs_le_abs h.2 (neg_le.2 h.1.le)
· simp [abs_nonneg]
#align probability_theory.abs_truncation_le_bound ProbabilityTheory.abs_truncation_le_bound
@[simp]
theorem truncation_zero (f : α → ℝ) : truncation f 0 = 0 := by simp [truncation]; rfl
#align probability_theory.truncation_zero ProbabilityTheory.truncation_zero
theorem abs_truncation_le_abs_self (f : α → ℝ) (A : ℝ) (x : α) : |truncation f A x| ≤ |f x| := by
simp only [truncation, indicator, Set.mem_Icc, id, Function.comp_apply]
split_ifs
· exact le_rfl
· simp [abs_nonneg]
#align probability_theory.abs_truncation_le_abs_self ProbabilityTheory.abs_truncation_le_abs_self
theorem truncation_eq_self {f : α → ℝ} {A : ℝ} {x : α} (h : |f x| < A) :
truncation f A x = f x := by
simp only [truncation, indicator, Set.mem_Icc, id, Function.comp_apply, ite_eq_left_iff]
intro H
apply H.elim
simp [(abs_lt.1 h).1, (abs_lt.1 h).2.le]
#align probability_theory.truncation_eq_self ProbabilityTheory.truncation_eq_self
theorem truncation_eq_of_nonneg {f : α → ℝ} {A : ℝ} (h : ∀ x, 0 ≤ f x) :
truncation f A = indicator (Set.Ioc 0 A) id ∘ f := by
ext x
rcases (h x).lt_or_eq with (hx | hx)
· simp only [truncation, indicator, hx, Set.mem_Ioc, id, Function.comp_apply, true_and_iff]
by_cases h'x : f x ≤ A
· have : -A < f x := by linarith [h x]
simp only [this, true_and_iff]
· simp only [h'x, and_false_iff]
· simp only [truncation, indicator, hx, id, Function.comp_apply, ite_self]
#align probability_theory.truncation_eq_of_nonneg ProbabilityTheory.truncation_eq_of_nonneg
theorem truncation_nonneg {f : α → ℝ} (A : ℝ) {x : α} (h : 0 ≤ f x) : 0 ≤ truncation f A x :=
Set.indicator_apply_nonneg fun _ => h
#align probability_theory.truncation_nonneg ProbabilityTheory.truncation_nonneg
theorem _root_.MeasureTheory.AEStronglyMeasurable.memℒp_truncation [IsFiniteMeasure μ]
(hf : AEStronglyMeasurable f μ) {A : ℝ} {p : ℝ≥0∞} : Memℒp (truncation f A) p μ :=
Memℒp.of_bound hf.truncation |A| (eventually_of_forall fun _ => abs_truncation_le_bound _ _ _)
#align measure_theory.ae_strongly_measurable.mem_ℒp_truncation MeasureTheory.AEStronglyMeasurable.memℒp_truncation
theorem _root_.MeasureTheory.AEStronglyMeasurable.integrable_truncation [IsFiniteMeasure μ]
(hf : AEStronglyMeasurable f μ) {A : ℝ} : Integrable (truncation f A) μ := by
rw [← memℒp_one_iff_integrable]; exact hf.memℒp_truncation
#align measure_theory.ae_strongly_measurable.integrable_truncation MeasureTheory.AEStronglyMeasurable.integrable_truncation
theorem moment_truncation_eq_intervalIntegral (hf : AEStronglyMeasurable f μ) {A : ℝ} (hA : 0 ≤ A)
{n : ℕ} (hn : n ≠ 0) : ∫ x, truncation f A x ^ n ∂μ = ∫ y in -A..A, y ^ n ∂Measure.map f μ := by
have M : MeasurableSet (Set.Ioc (-A) A) := measurableSet_Ioc
change ∫ x, (fun z => indicator (Set.Ioc (-A) A) id z ^ n) (f x) ∂μ = _
rw [← integral_map (f := fun z => _ ^ n) hf.aemeasurable, intervalIntegral.integral_of_le,
← integral_indicator M]
· simp only [indicator, zero_pow hn, id, ite_pow]
· linarith
· exact ((measurable_id.indicator M).pow_const n).aestronglyMeasurable
#align probability_theory.moment_truncation_eq_interval_integral ProbabilityTheory.moment_truncation_eq_intervalIntegral
theorem moment_truncation_eq_intervalIntegral_of_nonneg (hf : AEStronglyMeasurable f μ) {A : ℝ}
{n : ℕ} (hn : n ≠ 0) (h'f : 0 ≤ f) :
∫ x, truncation f A x ^ n ∂μ = ∫ y in (0)..A, y ^ n ∂Measure.map f μ := by
have M : MeasurableSet (Set.Ioc 0 A) := measurableSet_Ioc
have M' : MeasurableSet (Set.Ioc A 0) := measurableSet_Ioc
rw [truncation_eq_of_nonneg h'f]
change ∫ x, (fun z => indicator (Set.Ioc 0 A) id z ^ n) (f x) ∂μ = _
rcases le_or_lt 0 A with (hA | hA)
· rw [← integral_map (f := fun z => _ ^ n) hf.aemeasurable, intervalIntegral.integral_of_le hA,
← integral_indicator M]
· simp only [indicator, zero_pow hn, id, ite_pow]
· exact ((measurable_id.indicator M).pow_const n).aestronglyMeasurable
· rw [← integral_map (f := fun z => _ ^ n) hf.aemeasurable, intervalIntegral.integral_of_ge hA.le,
← integral_indicator M']
· simp only [Set.Ioc_eq_empty_of_le hA.le, zero_pow hn, Set.indicator_empty, integral_zero,
zero_eq_neg]
apply integral_eq_zero_of_ae
have : ∀ᵐ x ∂Measure.map f μ, (0 : ℝ) ≤ x :=
(ae_map_iff hf.aemeasurable measurableSet_Ici).2 (eventually_of_forall h'f)
filter_upwards [this] with x hx
simp only [indicator, Set.mem_Ioc, Pi.zero_apply, ite_eq_right_iff, and_imp]
intro _ h''x
have : x = 0 := by linarith
simp [this, zero_pow hn]
· exact ((measurable_id.indicator M).pow_const n).aestronglyMeasurable
#align probability_theory.moment_truncation_eq_interval_integral_of_nonneg ProbabilityTheory.moment_truncation_eq_intervalIntegral_of_nonneg
theorem integral_truncation_eq_intervalIntegral (hf : AEStronglyMeasurable f μ) {A : ℝ}
(hA : 0 ≤ A) : ∫ x, truncation f A x ∂μ = ∫ y in -A..A, y ∂Measure.map f μ := by
simpa using moment_truncation_eq_intervalIntegral hf hA one_ne_zero
#align probability_theory.integral_truncation_eq_interval_integral ProbabilityTheory.integral_truncation_eq_intervalIntegral
| Mathlib/Probability/StrongLaw.lean | 183 | 185 | theorem integral_truncation_eq_intervalIntegral_of_nonneg (hf : AEStronglyMeasurable f μ) {A : ℝ}
(h'f : 0 ≤ f) : ∫ x, truncation f A x ∂μ = ∫ y in (0)..A, y ∂Measure.map f μ := by |
simpa using moment_truncation_eq_intervalIntegral_of_nonneg hf one_ne_zero h'f
|
import Mathlib.Data.Nat.Count
import Mathlib.Data.Nat.SuccPred
import Mathlib.Order.Interval.Set.Monotone
import Mathlib.Order.OrderIsoNat
#align_import data.nat.nth from "leanprover-community/mathlib"@"7fdd4f3746cb059edfdb5d52cba98f66fce418c0"
open Finset
namespace Nat
variable (p : ℕ → Prop)
noncomputable def nth (p : ℕ → Prop) (n : ℕ) : ℕ := by
classical exact
if h : Set.Finite (setOf p) then (h.toFinset.sort (· ≤ ·)).getD n 0
else @Nat.Subtype.orderIsoOfNat (setOf p) (Set.Infinite.to_subtype h) n
#align nat.nth Nat.nth
variable {p}
theorem nth_of_card_le (hf : (setOf p).Finite) {n : ℕ} (hn : hf.toFinset.card ≤ n) :
nth p n = 0 := by rw [nth, dif_pos hf, List.getD_eq_default]; rwa [Finset.length_sort]
#align nat.nth_of_card_le Nat.nth_of_card_le
theorem nth_eq_getD_sort (h : (setOf p).Finite) (n : ℕ) :
nth p n = (h.toFinset.sort (· ≤ ·)).getD n 0 :=
dif_pos h
#align nat.nth_eq_nthd_sort Nat.nth_eq_getD_sort
theorem nth_eq_orderEmbOfFin (hf : (setOf p).Finite) {n : ℕ} (hn : n < hf.toFinset.card) :
nth p n = hf.toFinset.orderEmbOfFin rfl ⟨n, hn⟩ := by
rw [nth_eq_getD_sort hf, Finset.orderEmbOfFin_apply, List.getD_eq_get]
#align nat.nth_eq_order_emb_of_fin Nat.nth_eq_orderEmbOfFin
theorem nth_strictMonoOn (hf : (setOf p).Finite) :
StrictMonoOn (nth p) (Set.Iio hf.toFinset.card) := by
rintro m (hm : m < _) n (hn : n < _) h
simp only [nth_eq_orderEmbOfFin, *]
exact OrderEmbedding.strictMono _ h
#align nat.nth_strict_mono_on Nat.nth_strictMonoOn
theorem nth_lt_nth_of_lt_card (hf : (setOf p).Finite) {m n : ℕ} (h : m < n)
(hn : n < hf.toFinset.card) : nth p m < nth p n :=
nth_strictMonoOn hf (h.trans hn) hn h
#align nat.nth_lt_nth_of_lt_card Nat.nth_lt_nth_of_lt_card
theorem nth_le_nth_of_lt_card (hf : (setOf p).Finite) {m n : ℕ} (h : m ≤ n)
(hn : n < hf.toFinset.card) : nth p m ≤ nth p n :=
(nth_strictMonoOn hf).monotoneOn (h.trans_lt hn) hn h
#align nat.nth_le_nth_of_lt_card Nat.nth_le_nth_of_lt_card
theorem lt_of_nth_lt_nth_of_lt_card (hf : (setOf p).Finite) {m n : ℕ} (h : nth p m < nth p n)
(hm : m < hf.toFinset.card) : m < n :=
not_le.1 fun hle => h.not_le <| nth_le_nth_of_lt_card hf hle hm
#align nat.lt_of_nth_lt_nth_of_lt_card Nat.lt_of_nth_lt_nth_of_lt_card
theorem le_of_nth_le_nth_of_lt_card (hf : (setOf p).Finite) {m n : ℕ} (h : nth p m ≤ nth p n)
(hm : m < hf.toFinset.card) : m ≤ n :=
not_lt.1 fun hlt => h.not_lt <| nth_lt_nth_of_lt_card hf hlt hm
#align nat.le_of_nth_le_nth_of_lt_card Nat.le_of_nth_le_nth_of_lt_card
theorem nth_injOn (hf : (setOf p).Finite) : (Set.Iio hf.toFinset.card).InjOn (nth p) :=
(nth_strictMonoOn hf).injOn
#align nat.nth_inj_on Nat.nth_injOn
theorem range_nth_of_finite (hf : (setOf p).Finite) : Set.range (nth p) = insert 0 (setOf p) := by
simpa only [← nth_eq_getD_sort hf, mem_sort, Set.Finite.mem_toFinset]
using Set.range_list_getD (hf.toFinset.sort (· ≤ ·)) 0
#align nat.range_nth_of_finite Nat.range_nth_of_finite
@[simp]
| Mathlib/Data/Nat/Nth.lean | 113 | 119 | theorem image_nth_Iio_card (hf : (setOf p).Finite) : nth p '' Set.Iio hf.toFinset.card = setOf p :=
calc
nth p '' Set.Iio hf.toFinset.card = Set.range (hf.toFinset.orderEmbOfFin rfl) := by |
ext x
simp only [Set.mem_image, Set.mem_range, Fin.exists_iff, ← nth_eq_orderEmbOfFin hf,
Set.mem_Iio, exists_prop]
_ = setOf p := by rw [range_orderEmbOfFin, Set.Finite.coe_toFinset]
|
import Mathlib.MeasureTheory.Decomposition.RadonNikodym
import Mathlib.Probability.Kernel.Disintegration.CdfToKernel
#align_import probability.kernel.cond_cdf from "leanprover-community/mathlib"@"3b88f4005dc2e28d42f974cc1ce838f0dafb39b8"
open MeasureTheory Set Filter TopologicalSpace
open scoped NNReal ENNReal MeasureTheory Topology
namespace MeasureTheory.Measure
variable {α β : Type*} {mα : MeasurableSpace α} (ρ : Measure (α × ℝ))
noncomputable def IicSnd (r : ℝ) : Measure α :=
(ρ.restrict (univ ×ˢ Iic r)).fst
#align measure_theory.measure.Iic_snd MeasureTheory.Measure.IicSnd
theorem IicSnd_apply (r : ℝ) {s : Set α} (hs : MeasurableSet s) :
ρ.IicSnd r s = ρ (s ×ˢ Iic r) := by
rw [IicSnd, fst_apply hs,
restrict_apply' (MeasurableSet.univ.prod (measurableSet_Iic : MeasurableSet (Iic r))), ←
prod_univ, prod_inter_prod, inter_univ, univ_inter]
#align measure_theory.measure.Iic_snd_apply MeasureTheory.Measure.IicSnd_apply
theorem IicSnd_univ (r : ℝ) : ρ.IicSnd r univ = ρ (univ ×ˢ Iic r) :=
IicSnd_apply ρ r MeasurableSet.univ
#align measure_theory.measure.Iic_snd_univ MeasureTheory.Measure.IicSnd_univ
theorem IicSnd_mono {r r' : ℝ} (h_le : r ≤ r') : ρ.IicSnd r ≤ ρ.IicSnd r' := by
refine Measure.le_iff.2 fun s hs ↦ ?_
simp_rw [IicSnd_apply ρ _ hs]
refine measure_mono (prod_subset_prod_iff.mpr (Or.inl ⟨subset_rfl, Iic_subset_Iic.mpr ?_⟩))
exact mod_cast h_le
#align measure_theory.measure.Iic_snd_mono MeasureTheory.Measure.IicSnd_mono
theorem IicSnd_le_fst (r : ℝ) : ρ.IicSnd r ≤ ρ.fst := by
refine Measure.le_iff.2 fun s hs ↦ ?_
simp_rw [fst_apply hs, IicSnd_apply ρ r hs]
exact measure_mono (prod_subset_preimage_fst _ _)
#align measure_theory.measure.Iic_snd_le_fst MeasureTheory.Measure.IicSnd_le_fst
theorem IicSnd_ac_fst (r : ℝ) : ρ.IicSnd r ≪ ρ.fst :=
Measure.absolutelyContinuous_of_le (IicSnd_le_fst ρ r)
#align measure_theory.measure.Iic_snd_ac_fst MeasureTheory.Measure.IicSnd_ac_fst
theorem IsFiniteMeasure.IicSnd {ρ : Measure (α × ℝ)} [IsFiniteMeasure ρ] (r : ℝ) :
IsFiniteMeasure (ρ.IicSnd r) :=
isFiniteMeasure_of_le _ (IicSnd_le_fst ρ _)
#align measure_theory.measure.is_finite_measure.Iic_snd MeasureTheory.Measure.IsFiniteMeasure.IicSnd
theorem iInf_IicSnd_gt (t : ℚ) {s : Set α} (hs : MeasurableSet s) [IsFiniteMeasure ρ] :
⨅ r : { r' : ℚ // t < r' }, ρ.IicSnd r s = ρ.IicSnd t s := by
simp_rw [ρ.IicSnd_apply _ hs, Measure.iInf_rat_gt_prod_Iic hs]
#align measure_theory.measure.infi_Iic_snd_gt MeasureTheory.Measure.iInf_IicSnd_gt
theorem tendsto_IicSnd_atTop {s : Set α} (hs : MeasurableSet s) :
Tendsto (fun r : ℚ ↦ ρ.IicSnd r s) atTop (𝓝 (ρ.fst s)) := by
simp_rw [ρ.IicSnd_apply _ hs, fst_apply hs, ← prod_univ]
rw [← Real.iUnion_Iic_rat, prod_iUnion]
refine tendsto_measure_iUnion fun r q hr_le_q x ↦ ?_
simp only [mem_prod, mem_Iic, and_imp]
refine fun hxs hxr ↦ ⟨hxs, hxr.trans ?_⟩
exact mod_cast hr_le_q
#align measure_theory.measure.tendsto_Iic_snd_at_top MeasureTheory.Measure.tendsto_IicSnd_atTop
| Mathlib/Probability/Kernel/Disintegration/CondCdf.lean | 102 | 124 | theorem tendsto_IicSnd_atBot [IsFiniteMeasure ρ] {s : Set α} (hs : MeasurableSet s) :
Tendsto (fun r : ℚ ↦ ρ.IicSnd r s) atBot (𝓝 0) := by |
simp_rw [ρ.IicSnd_apply _ hs]
have h_empty : ρ (s ×ˢ ∅) = 0 := by simp only [prod_empty, measure_empty]
rw [← h_empty, ← Real.iInter_Iic_rat, prod_iInter]
suffices h_neg :
Tendsto (fun r : ℚ ↦ ρ (s ×ˢ Iic ↑(-r))) atTop (𝓝 (ρ (⋂ r : ℚ, s ×ˢ Iic ↑(-r)))) by
have h_inter_eq : ⋂ r : ℚ, s ×ˢ Iic ↑(-r) = ⋂ r : ℚ, s ×ˢ Iic (r : ℝ) := by
ext1 x
simp only [Rat.cast_eq_id, id, mem_iInter, mem_prod, mem_Iic]
refine ⟨fun h i ↦ ⟨(h i).1, ?_⟩, fun h i ↦ ⟨(h i).1, ?_⟩⟩ <;> have h' := h (-i)
· rw [neg_neg] at h'; exact h'.2
· exact h'.2
rw [h_inter_eq] at h_neg
have h_fun_eq : (fun r : ℚ ↦ ρ (s ×ˢ Iic (r : ℝ))) = fun r : ℚ ↦ ρ (s ×ˢ Iic ↑(- -r)) := by
simp_rw [neg_neg]
rw [h_fun_eq]
exact h_neg.comp tendsto_neg_atBot_atTop
refine tendsto_measure_iInter (fun q ↦ hs.prod measurableSet_Iic) ?_ ⟨0, measure_ne_top ρ _⟩
refine fun q r hqr ↦ prod_subset_prod_iff.mpr (Or.inl ⟨subset_rfl, fun x hx ↦ ?_⟩)
simp only [Rat.cast_neg, mem_Iic] at hx ⊢
refine hx.trans (neg_le_neg ?_)
exact mod_cast hqr
|
import Mathlib.Analysis.Normed.Group.Hom
import Mathlib.Analysis.NormedSpace.Basic
import Mathlib.Analysis.NormedSpace.LinearIsometry
import Mathlib.Algebra.Star.SelfAdjoint
import Mathlib.Algebra.Star.Subalgebra
import Mathlib.Algebra.Star.Unitary
import Mathlib.Topology.Algebra.Module.Star
#align_import analysis.normed_space.star.basic from "leanprover-community/mathlib"@"aa6669832974f87406a3d9d70fc5707a60546207"
open Topology
local postfix:max "⋆" => star
class NormedStarGroup (E : Type*) [SeminormedAddCommGroup E] [StarAddMonoid E] : Prop where
norm_star : ∀ x : E, ‖x⋆‖ = ‖x‖
#align normed_star_group NormedStarGroup
export NormedStarGroup (norm_star)
attribute [simp] norm_star
variable {𝕜 E α : Type*}
instance RingHomIsometric.starRingEnd [NormedCommRing E] [StarRing E] [NormedStarGroup E] :
RingHomIsometric (starRingEnd E) :=
⟨@norm_star _ _ _ _⟩
#align ring_hom_isometric.star_ring_end RingHomIsometric.starRingEnd
class CstarRing (E : Type*) [NonUnitalNormedRing E] [StarRing E] : Prop where
norm_star_mul_self : ∀ {x : E}, ‖x⋆ * x‖ = ‖x‖ * ‖x‖
#align cstar_ring CstarRing
instance : CstarRing ℝ where norm_star_mul_self {x} := by simp only [star, id, norm_mul]
namespace CstarRing
section NonUnital
variable [NonUnitalNormedRing E] [StarRing E] [CstarRing E]
-- see Note [lower instance priority]
instance (priority := 100) to_normedStarGroup : NormedStarGroup E :=
⟨by
intro x
by_cases htriv : x = 0
· simp only [htriv, star_zero]
· have hnt : 0 < ‖x‖ := norm_pos_iff.mpr htriv
have hnt_star : 0 < ‖x⋆‖ :=
norm_pos_iff.mpr ((AddEquiv.map_ne_zero_iff starAddEquiv (M := E)).mpr htriv)
have h₁ :=
calc
‖x‖ * ‖x‖ = ‖x⋆ * x‖ := norm_star_mul_self.symm
_ ≤ ‖x⋆‖ * ‖x‖ := norm_mul_le _ _
have h₂ :=
calc
‖x⋆‖ * ‖x⋆‖ = ‖x * x⋆‖ := by rw [← norm_star_mul_self, star_star]
_ ≤ ‖x‖ * ‖x⋆‖ := norm_mul_le _ _
exact le_antisymm (le_of_mul_le_mul_right h₂ hnt_star) (le_of_mul_le_mul_right h₁ hnt)⟩
#align cstar_ring.to_normed_star_group CstarRing.to_normedStarGroup
theorem norm_self_mul_star {x : E} : ‖x * x⋆‖ = ‖x‖ * ‖x‖ := by
nth_rw 1 [← star_star x]
simp only [norm_star_mul_self, norm_star]
#align cstar_ring.norm_self_mul_star CstarRing.norm_self_mul_star
theorem norm_star_mul_self' {x : E} : ‖x⋆ * x‖ = ‖x⋆‖ * ‖x‖ := by rw [norm_star_mul_self, norm_star]
#align cstar_ring.norm_star_mul_self' CstarRing.norm_star_mul_self'
theorem nnnorm_self_mul_star {x : E} : ‖x * x⋆‖₊ = ‖x‖₊ * ‖x‖₊ :=
Subtype.ext norm_self_mul_star
#align cstar_ring.nnnorm_self_mul_star CstarRing.nnnorm_self_mul_star
theorem nnnorm_star_mul_self {x : E} : ‖x⋆ * x‖₊ = ‖x‖₊ * ‖x‖₊ :=
Subtype.ext norm_star_mul_self
#align cstar_ring.nnnorm_star_mul_self CstarRing.nnnorm_star_mul_self
@[simp]
theorem star_mul_self_eq_zero_iff (x : E) : x⋆ * x = 0 ↔ x = 0 := by
rw [← norm_eq_zero, norm_star_mul_self]
exact mul_self_eq_zero.trans norm_eq_zero
#align cstar_ring.star_mul_self_eq_zero_iff CstarRing.star_mul_self_eq_zero_iff
theorem star_mul_self_ne_zero_iff (x : E) : x⋆ * x ≠ 0 ↔ x ≠ 0 := by
simp only [Ne, star_mul_self_eq_zero_iff]
#align cstar_ring.star_mul_self_ne_zero_iff CstarRing.star_mul_self_ne_zero_iff
@[simp]
| Mathlib/Analysis/NormedSpace/Star/Basic.lean | 145 | 146 | theorem mul_star_self_eq_zero_iff (x : E) : x * x⋆ = 0 ↔ x = 0 := by |
simpa only [star_eq_zero, star_star] using @star_mul_self_eq_zero_iff _ _ _ _ (star x)
|
import Mathlib.Algebra.Group.Int
import Mathlib.Algebra.Order.Group.Abs
#align_import data.int.order.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
-- We should need only a minimal development of sets in order to get here.
assert_not_exists Set.Subsingleton
assert_not_exists Ring
open Function Nat
namespace Int
theorem natCast_strictMono : StrictMono (· : ℕ → ℤ) := fun _ _ ↦ Int.ofNat_lt.2
#align int.coe_nat_strict_mono Int.natCast_strictMono
@[deprecated (since := "2024-05-25")] alias coe_nat_strictMono := natCast_strictMono
instance linearOrderedAddCommGroup : LinearOrderedAddCommGroup ℤ where
__ := instLinearOrder
__ := instAddCommGroup
add_le_add_left _ _ := Int.add_le_add_left
theorem abs_eq_natAbs : ∀ a : ℤ, |a| = natAbs a
| (n : ℕ) => abs_of_nonneg <| ofNat_zero_le _
| -[_+1] => abs_of_nonpos <| le_of_lt <| negSucc_lt_zero _
#align int.abs_eq_nat_abs Int.abs_eq_natAbs
@[simp, norm_cast] lemma natCast_natAbs (n : ℤ) : (n.natAbs : ℤ) = |n| := n.abs_eq_natAbs.symm
#align int.coe_nat_abs Int.natCast_natAbs
theorem natAbs_abs (a : ℤ) : natAbs |a| = natAbs a := by rw [abs_eq_natAbs]; rfl
#align int.nat_abs_abs Int.natAbs_abs
theorem sign_mul_abs (a : ℤ) : sign a * |a| = a := by
rw [abs_eq_natAbs, sign_mul_natAbs a]
#align int.sign_mul_abs Int.sign_mul_abs
lemma natAbs_le_self_sq (a : ℤ) : (Int.natAbs a : ℤ) ≤ a ^ 2 := by
rw [← Int.natAbs_sq a, sq]
norm_cast
apply Nat.le_mul_self
#align int.abs_le_self_sq Int.natAbs_le_self_sq
alias natAbs_le_self_pow_two := natAbs_le_self_sq
lemma le_self_sq (b : ℤ) : b ≤ b ^ 2 := le_trans le_natAbs (natAbs_le_self_sq _)
#align int.le_self_sq Int.le_self_sq
alias le_self_pow_two := le_self_sq
#align int.le_self_pow_two Int.le_self_pow_two
@[norm_cast] lemma abs_natCast (n : ℕ) : |(n : ℤ)| = n := abs_of_nonneg (natCast_nonneg n)
#align int.abs_coe_nat Int.abs_natCast
theorem natAbs_sub_pos_iff {i j : ℤ} : 0 < natAbs (i - j) ↔ i ≠ j := by
rw [natAbs_pos, ne_eq, sub_eq_zero]
theorem natAbs_sub_ne_zero_iff {i j : ℤ} : natAbs (i - j) ≠ 0 ↔ i ≠ j :=
Nat.ne_zero_iff_zero_lt.trans natAbs_sub_pos_iff
@[simp]
theorem abs_lt_one_iff {a : ℤ} : |a| < 1 ↔ a = 0 := by
rw [← zero_add 1, lt_add_one_iff, abs_nonpos_iff]
#align int.abs_lt_one_iff Int.abs_lt_one_iff
theorem abs_le_one_iff {a : ℤ} : |a| ≤ 1 ↔ a = 0 ∨ a = 1 ∨ a = -1 := by
rw [le_iff_lt_or_eq, abs_lt_one_iff, abs_eq Int.one_nonneg]
#align int.abs_le_one_iff Int.abs_le_one_iff
theorem one_le_abs {z : ℤ} (h₀ : z ≠ 0) : 1 ≤ |z| :=
add_one_le_iff.mpr (abs_pos.mpr h₀)
#align int.one_le_abs Int.one_le_abs
theorem ediv_eq_zero_of_lt_abs {a b : ℤ} (H1 : 0 ≤ a) (H2 : a < |b|) : a / b = 0 :=
match b, |b|, abs_eq_natAbs b, H2 with
| (n : ℕ), _, rfl, H2 => ediv_eq_zero_of_lt H1 H2
| -[n+1], _, rfl, H2 => neg_injective <| by rw [← Int.ediv_neg]; exact ediv_eq_zero_of_lt H1 H2
#align int.div_eq_zero_of_lt_abs Int.ediv_eq_zero_of_lt_abs
@[simp]
theorem emod_abs (a b : ℤ) : a % |b| = a % b :=
abs_by_cases (fun i => a % i = a % b) rfl (emod_neg _ _)
#align int.mod_abs Int.emod_abs
theorem emod_lt (a : ℤ) {b : ℤ} (H : b ≠ 0) : a % b < |b| := by
rw [← emod_abs]; exact emod_lt_of_pos _ (abs_pos.2 H)
#align int.mod_lt Int.emod_lt
theorem abs_ediv_le_abs : ∀ a b : ℤ, |a / b| ≤ |a| :=
suffices ∀ (a : ℤ) (n : ℕ), |a / n| ≤ |a| from fun a b =>
match b, eq_nat_or_neg b with
| _, ⟨n, Or.inl rfl⟩ => this _ _
| _, ⟨n, Or.inr rfl⟩ => by rw [Int.ediv_neg, abs_neg]; apply this
fun a n => by
rw [abs_eq_natAbs, abs_eq_natAbs];
exact
ofNat_le_ofNat_of_le
(match a, n with
| (m : ℕ), n => Nat.div_le_self _ _
| -[m+1], 0 => Nat.zero_le _
| -[m+1], n + 1 => Nat.succ_le_succ (Nat.div_le_self _ _))
#align int.abs_div_le_abs Int.abs_ediv_le_abs
| Mathlib/Algebra/Order/Group/Int.lean | 136 | 137 | theorem abs_sign_of_nonzero {z : ℤ} (hz : z ≠ 0) : |z.sign| = 1 := by |
rw [abs_eq_natAbs, natAbs_sign_of_nonzero hz, Int.ofNat_one]
|
import Mathlib.Data.Matrix.PEquiv
import Mathlib.Data.Set.Card
import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.LinearAlgebra.Matrix.Trace
open BigOperators Matrix Equiv
variable {n R : Type*} [DecidableEq n] [Fintype n] (σ : Perm n)
variable (R) in
abbrev Equiv.Perm.permMatrix [Zero R] [One R] : Matrix n n R :=
σ.toPEquiv.toMatrix
namespace Matrix
@[simp]
| Mathlib/LinearAlgebra/Matrix/Permutation.lean | 41 | 43 | theorem det_permutation [CommRing R] : det (σ.permMatrix R) = Perm.sign σ := by |
rw [← Matrix.mul_one (σ.permMatrix R), PEquiv.toPEquiv_mul_matrix,
det_permute, det_one, mul_one]
|
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
| Mathlib/NumberTheory/BernoulliPolynomials.lean | 97 | 108 | theorem derivative_bernoulli_add_one (k : ℕ) :
Polynomial.derivative (bernoulli (k + 1)) = (k + 1) * bernoulli k := by |
simp_rw [bernoulli, derivative_sum, derivative_monomial, Nat.sub_sub, Nat.add_sub_add_right]
-- LHS sum has an extra term, but the coefficient is zero:
rw [range_add_one, sum_insert not_mem_range_self, tsub_self, cast_zero, mul_zero,
map_zero, zero_add, mul_sum]
-- the rest of the sum is termwise equal:
refine sum_congr (by rfl) fun m _ => ?_
conv_rhs => rw [← Nat.cast_one, ← Nat.cast_add, ← C_eq_natCast, C_mul_monomial, mul_comm]
rw [mul_assoc, mul_assoc, ← Nat.cast_mul, ← Nat.cast_mul]
congr 3
rw [(choose_mul_succ_eq k m).symm]
|
import Mathlib.Algebra.CharZero.Defs
import Mathlib.Algebra.Group.Pi.Basic
import Mathlib.Algebra.Group.Units
import Mathlib.Algebra.GroupWithZero.NeZero
import Mathlib.Algebra.Order.Group.Defs
import Mathlib.Algebra.Order.GroupWithZero.Unbundled
import Mathlib.Algebra.Order.Monoid.Canonical.Defs
import Mathlib.Algebra.Order.Monoid.NatCast
import Mathlib.Algebra.Order.Monoid.Unbundled.MinMax
import Mathlib.Algebra.Ring.Defs
import Mathlib.Tactic.Tauto
#align_import algebra.order.ring.char_zero from "leanprover-community/mathlib"@"655994e298904d7e5bbd1e18c95defd7b543eb94"
#align_import algebra.order.ring.defs from "leanprover-community/mathlib"@"44e29dbcff83ba7114a464d592b8c3743987c1e5"
open Function
universe u
variable {α : Type u} {β : Type*}
theorem add_one_le_two_mul [LE α] [Semiring α] [CovariantClass α α (· + ·) (· ≤ ·)] {a : α}
(a1 : 1 ≤ a) : a + 1 ≤ 2 * a :=
calc
a + 1 ≤ a + a := add_le_add_left a1 a
_ = 2 * a := (two_mul _).symm
#align add_one_le_two_mul add_one_le_two_mul
class OrderedSemiring (α : Type u) extends Semiring α, OrderedAddCommMonoid α where
protected zero_le_one : (0 : α) ≤ 1
protected mul_le_mul_of_nonneg_left : ∀ a b c : α, a ≤ b → 0 ≤ c → c * a ≤ c * b
protected mul_le_mul_of_nonneg_right : ∀ a b c : α, a ≤ b → 0 ≤ c → a * c ≤ b * c
#align ordered_semiring OrderedSemiring
class OrderedCommSemiring (α : Type u) extends OrderedSemiring α, CommSemiring α where
mul_le_mul_of_nonneg_right a b c ha hc :=
-- parentheses ensure this generates an `optParam` rather than an `autoParam`
(by simpa only [mul_comm] using mul_le_mul_of_nonneg_left a b c ha hc)
#align ordered_comm_semiring OrderedCommSemiring
class OrderedRing (α : Type u) extends Ring α, OrderedAddCommGroup α where
protected zero_le_one : 0 ≤ (1 : α)
protected mul_nonneg : ∀ a b : α, 0 ≤ a → 0 ≤ b → 0 ≤ a * b
#align ordered_ring OrderedRing
class OrderedCommRing (α : Type u) extends OrderedRing α, CommRing α
#align ordered_comm_ring OrderedCommRing
class StrictOrderedSemiring (α : Type u) extends Semiring α, OrderedCancelAddCommMonoid α,
Nontrivial α where
protected zero_le_one : (0 : α) ≤ 1
protected mul_lt_mul_of_pos_left : ∀ a b c : α, a < b → 0 < c → c * a < c * b
protected mul_lt_mul_of_pos_right : ∀ a b c : α, a < b → 0 < c → a * c < b * c
#align strict_ordered_semiring StrictOrderedSemiring
class StrictOrderedCommSemiring (α : Type u) extends StrictOrderedSemiring α, CommSemiring α
#align strict_ordered_comm_semiring StrictOrderedCommSemiring
class StrictOrderedRing (α : Type u) extends Ring α, OrderedAddCommGroup α, Nontrivial α where
protected zero_le_one : 0 ≤ (1 : α)
protected mul_pos : ∀ a b : α, 0 < a → 0 < b → 0 < a * b
#align strict_ordered_ring StrictOrderedRing
class StrictOrderedCommRing (α : Type*) extends StrictOrderedRing α, CommRing α
#align strict_ordered_comm_ring StrictOrderedCommRing
class LinearOrderedSemiring (α : Type u) extends StrictOrderedSemiring α,
LinearOrderedAddCommMonoid α
#align linear_ordered_semiring LinearOrderedSemiring
class LinearOrderedCommSemiring (α : Type*) extends StrictOrderedCommSemiring α,
LinearOrderedSemiring α
#align linear_ordered_comm_semiring LinearOrderedCommSemiring
class LinearOrderedRing (α : Type u) extends StrictOrderedRing α, LinearOrder α
#align linear_ordered_ring LinearOrderedRing
class LinearOrderedCommRing (α : Type u) extends LinearOrderedRing α, CommMonoid α
#align linear_ordered_comm_ring LinearOrderedCommRing
section OrderedSemiring
variable [OrderedSemiring α] {a b c d : α}
-- see Note [lower instance priority]
instance (priority := 100) OrderedSemiring.zeroLEOneClass : ZeroLEOneClass α :=
{ ‹OrderedSemiring α› with }
#align ordered_semiring.zero_le_one_class OrderedSemiring.zeroLEOneClass
-- see Note [lower instance priority]
instance (priority := 200) OrderedSemiring.toPosMulMono : PosMulMono α :=
⟨fun x _ _ h => OrderedSemiring.mul_le_mul_of_nonneg_left _ _ _ h x.2⟩
#align ordered_semiring.to_pos_mul_mono OrderedSemiring.toPosMulMono
-- see Note [lower instance priority]
instance (priority := 200) OrderedSemiring.toMulPosMono : MulPosMono α :=
⟨fun x _ _ h => OrderedSemiring.mul_le_mul_of_nonneg_right _ _ _ h x.2⟩
#align ordered_semiring.to_mul_pos_mono OrderedSemiring.toMulPosMono
set_option linter.deprecated false in
theorem bit1_mono : Monotone (bit1 : α → α) := fun _ _ h => add_le_add_right (bit0_mono h) _
#align bit1_mono bit1_mono
@[simp]
theorem pow_nonneg (H : 0 ≤ a) : ∀ n : ℕ, 0 ≤ a ^ n
| 0 => by
rw [pow_zero]
exact zero_le_one
| n + 1 => by
rw [pow_succ]
exact mul_nonneg (pow_nonneg H _) H
#align pow_nonneg pow_nonneg
lemma pow_le_pow_of_le_one (ha₀ : 0 ≤ a) (ha₁ : a ≤ 1) : ∀ {m n : ℕ}, m ≤ n → a ^ n ≤ a ^ m
| _, _, Nat.le.refl => le_rfl
| _, _, Nat.le.step h => by
rw [pow_succ']
exact (mul_le_of_le_one_left (pow_nonneg ha₀ _) ha₁).trans $ pow_le_pow_of_le_one ha₀ ha₁ h
#align pow_le_pow_of_le_one pow_le_pow_of_le_one
lemma pow_le_of_le_one (h₀ : 0 ≤ a) (h₁ : a ≤ 1) {n : ℕ} (hn : n ≠ 0) : a ^ n ≤ a :=
(pow_one a).subst (pow_le_pow_of_le_one h₀ h₁ (Nat.pos_of_ne_zero hn))
#align pow_le_of_le_one pow_le_of_le_one
lemma sq_le (h₀ : 0 ≤ a) (h₁ : a ≤ 1) : a ^ 2 ≤ a := pow_le_of_le_one h₀ h₁ two_ne_zero
#align sq_le sq_le
-- Porting note: it's unfortunate we need to write `(@one_le_two α)` here.
theorem add_le_mul_two_add (a2 : 2 ≤ a) (b0 : 0 ≤ b) : a + (2 + b) ≤ a * (2 + b) :=
calc
a + (2 + b) ≤ a + (a + a * b) :=
add_le_add_left (add_le_add a2 <| le_mul_of_one_le_left b0 <| (@one_le_two α).trans a2) a
_ ≤ a * (2 + b) := by rw [mul_add, mul_two, add_assoc]
#align add_le_mul_two_add add_le_mul_two_add
theorem one_le_mul_of_one_le_of_one_le (ha : 1 ≤ a) (hb : 1 ≤ b) : (1 : α) ≤ a * b :=
Left.one_le_mul_of_le_of_le ha hb <| zero_le_one.trans ha
#align one_le_mul_of_one_le_of_one_le one_le_mul_of_one_le_of_one_le
section
set_option linter.deprecated false
theorem bit1_pos [Nontrivial α] (h : 0 ≤ a) : 0 < bit1 a :=
zero_lt_one.trans_le <| bit1_zero.symm.trans_le <| bit1_mono h
#align bit1_pos bit1_pos
theorem bit1_pos' (h : 0 < a) : 0 < bit1 a := by
nontriviality
exact bit1_pos h.le
#align bit1_pos' bit1_pos'
end
theorem mul_le_one (ha : a ≤ 1) (hb' : 0 ≤ b) (hb : b ≤ 1) : a * b ≤ 1 :=
one_mul (1 : α) ▸ mul_le_mul ha hb hb' zero_le_one
#align mul_le_one mul_le_one
theorem one_lt_mul_of_le_of_lt (ha : 1 ≤ a) (hb : 1 < b) : 1 < a * b :=
hb.trans_le <| le_mul_of_one_le_left (zero_le_one.trans hb.le) ha
#align one_lt_mul_of_le_of_lt one_lt_mul_of_le_of_lt
theorem one_lt_mul_of_lt_of_le (ha : 1 < a) (hb : 1 ≤ b) : 1 < a * b :=
ha.trans_le <| le_mul_of_one_le_right (zero_le_one.trans ha.le) hb
#align one_lt_mul_of_lt_of_le one_lt_mul_of_lt_of_le
alias one_lt_mul := one_lt_mul_of_le_of_lt
#align one_lt_mul one_lt_mul
theorem mul_lt_one_of_nonneg_of_lt_one_left (ha₀ : 0 ≤ a) (ha : a < 1) (hb : b ≤ 1) : a * b < 1 :=
(mul_le_of_le_one_right ha₀ hb).trans_lt ha
#align mul_lt_one_of_nonneg_of_lt_one_left mul_lt_one_of_nonneg_of_lt_one_left
theorem mul_lt_one_of_nonneg_of_lt_one_right (ha : a ≤ 1) (hb₀ : 0 ≤ b) (hb : b < 1) : a * b < 1 :=
(mul_le_of_le_one_left hb₀ ha).trans_lt hb
#align mul_lt_one_of_nonneg_of_lt_one_right mul_lt_one_of_nonneg_of_lt_one_right
variable [ExistsAddOfLE α] [ContravariantClass α α (swap (· + ·)) (· ≤ ·)]
theorem mul_le_mul_of_nonpos_left (h : b ≤ a) (hc : c ≤ 0) : c * a ≤ c * b := by
obtain ⟨d, hcd⟩ := exists_add_of_le hc
refine le_of_add_le_add_right (a := d * b + d * a) ?_
calc
_ = d * b := by rw [add_left_comm, ← add_mul, ← hcd, zero_mul, add_zero]
_ ≤ d * a := mul_le_mul_of_nonneg_left h <| hcd.trans_le <| add_le_of_nonpos_left hc
_ = _ := by rw [← add_assoc, ← add_mul, ← hcd, zero_mul, zero_add]
#align mul_le_mul_of_nonpos_left mul_le_mul_of_nonpos_left
theorem mul_le_mul_of_nonpos_right (h : b ≤ a) (hc : c ≤ 0) : a * c ≤ b * c := by
obtain ⟨d, hcd⟩ := exists_add_of_le hc
refine le_of_add_le_add_right (a := b * d + a * d) ?_
calc
_ = b * d := by rw [add_left_comm, ← mul_add, ← hcd, mul_zero, add_zero]
_ ≤ a * d := mul_le_mul_of_nonneg_right h <| hcd.trans_le <| add_le_of_nonpos_left hc
_ = _ := by rw [← add_assoc, ← mul_add, ← hcd, mul_zero, zero_add]
#align mul_le_mul_of_nonpos_right mul_le_mul_of_nonpos_right
theorem mul_nonneg_of_nonpos_of_nonpos (ha : a ≤ 0) (hb : b ≤ 0) : 0 ≤ a * b := by
simpa only [zero_mul] using mul_le_mul_of_nonpos_right ha hb
#align mul_nonneg_of_nonpos_of_nonpos mul_nonneg_of_nonpos_of_nonpos
theorem mul_le_mul_of_nonneg_of_nonpos (hca : c ≤ a) (hbd : b ≤ d) (hc : 0 ≤ c) (hb : b ≤ 0) :
a * b ≤ c * d :=
(mul_le_mul_of_nonpos_right hca hb).trans <| mul_le_mul_of_nonneg_left hbd hc
#align mul_le_mul_of_nonneg_of_nonpos mul_le_mul_of_nonneg_of_nonpos
theorem mul_le_mul_of_nonneg_of_nonpos' (hca : c ≤ a) (hbd : b ≤ d) (ha : 0 ≤ a) (hd : d ≤ 0) :
a * b ≤ c * d :=
(mul_le_mul_of_nonneg_left hbd ha).trans <| mul_le_mul_of_nonpos_right hca hd
#align mul_le_mul_of_nonneg_of_nonpos' mul_le_mul_of_nonneg_of_nonpos'
theorem mul_le_mul_of_nonpos_of_nonneg (hac : a ≤ c) (hdb : d ≤ b) (hc : c ≤ 0) (hb : 0 ≤ b) :
a * b ≤ c * d :=
(mul_le_mul_of_nonneg_right hac hb).trans <| mul_le_mul_of_nonpos_left hdb hc
#align mul_le_mul_of_nonpos_of_nonneg mul_le_mul_of_nonpos_of_nonneg
theorem mul_le_mul_of_nonpos_of_nonneg' (hca : c ≤ a) (hbd : b ≤ d) (ha : 0 ≤ a) (hd : d ≤ 0) :
a * b ≤ c * d :=
(mul_le_mul_of_nonneg_left hbd ha).trans <| mul_le_mul_of_nonpos_right hca hd
#align mul_le_mul_of_nonpos_of_nonneg' mul_le_mul_of_nonpos_of_nonneg'
theorem mul_le_mul_of_nonpos_of_nonpos (hca : c ≤ a) (hdb : d ≤ b) (hc : c ≤ 0) (hb : b ≤ 0) :
a * b ≤ c * d :=
(mul_le_mul_of_nonpos_right hca hb).trans <| mul_le_mul_of_nonpos_left hdb hc
#align mul_le_mul_of_nonpos_of_nonpos mul_le_mul_of_nonpos_of_nonpos
theorem mul_le_mul_of_nonpos_of_nonpos' (hca : c ≤ a) (hdb : d ≤ b) (ha : a ≤ 0) (hd : d ≤ 0) :
a * b ≤ c * d :=
(mul_le_mul_of_nonpos_left hdb ha).trans <| mul_le_mul_of_nonpos_right hca hd
#align mul_le_mul_of_nonpos_of_nonpos' mul_le_mul_of_nonpos_of_nonpos'
theorem le_mul_of_le_one_left (hb : b ≤ 0) (h : a ≤ 1) : b ≤ a * b := by
simpa only [one_mul] using mul_le_mul_of_nonpos_right h hb
#align le_mul_of_le_one_left le_mul_of_le_one_left
| Mathlib/Algebra/Order/Ring/Defs.lean | 409 | 410 | theorem mul_le_of_one_le_left (hb : b ≤ 0) (h : 1 ≤ a) : a * b ≤ b := by |
simpa only [one_mul] using mul_le_mul_of_nonpos_right h hb
|
import Mathlib.MeasureTheory.Constructions.BorelSpace.Metric
import Mathlib.Topology.Metrizable.Basic
import Mathlib.Topology.IndicatorConstPointwise
#align_import measure_theory.constructions.borel_space.metrizable from "leanprover-community/mathlib"@"bf6a01357ff5684b1ebcd0f1a13be314fc82c0bf"
open Filter MeasureTheory TopologicalSpace
open scoped Classical
open Topology NNReal ENNReal MeasureTheory
variable {α β : Type*} [MeasurableSpace α]
section Limits
variable [TopologicalSpace β] [PseudoMetrizableSpace β] [MeasurableSpace β] [BorelSpace β]
open Metric
theorem measurable_of_tendsto_metrizable' {ι} {f : ι → α → β} {g : α → β} (u : Filter ι) [NeBot u]
[IsCountablyGenerated u] (hf : ∀ i, Measurable (f i)) (lim : Tendsto f u (𝓝 g)) :
Measurable g := by
letI : PseudoMetricSpace β := pseudoMetrizableSpacePseudoMetric β
apply measurable_of_isClosed'
intro s h1s h2s h3s
have : Measurable fun x => infNndist (g x) s := by
suffices Tendsto (fun i x => infNndist (f i x) s) u (𝓝 fun x => infNndist (g x) s) from
NNReal.measurable_of_tendsto' u (fun i => (hf i).infNndist) this
rw [tendsto_pi_nhds] at lim ⊢
intro x
exact ((continuous_infNndist_pt s).tendsto (g x)).comp (lim x)
have h4s : g ⁻¹' s = (fun x => infNndist (g x) s) ⁻¹' {0} := by
ext x
simp [h1s, ← h1s.mem_iff_infDist_zero h2s, ← NNReal.coe_eq_zero]
rw [h4s]
exact this (measurableSet_singleton 0)
#align measurable_of_tendsto_metrizable' measurable_of_tendsto_metrizable'
theorem measurable_of_tendsto_metrizable {f : ℕ → α → β} {g : α → β} (hf : ∀ i, Measurable (f i))
(lim : Tendsto f atTop (𝓝 g)) : Measurable g :=
measurable_of_tendsto_metrizable' atTop hf lim
#align measurable_of_tendsto_metrizable measurable_of_tendsto_metrizable
theorem aemeasurable_of_tendsto_metrizable_ae {ι} {μ : Measure α} {f : ι → α → β} {g : α → β}
(u : Filter ι) [hu : NeBot u] [IsCountablyGenerated u] (hf : ∀ n, AEMeasurable (f n) μ)
(h_tendsto : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) u (𝓝 (g x))) : AEMeasurable g μ := by
rcases u.exists_seq_tendsto with ⟨v, hv⟩
have h'f : ∀ n, AEMeasurable (f (v n)) μ := fun n => hf (v n)
set p : α → (ℕ → β) → Prop := fun x f' => Tendsto (fun n => f' n) atTop (𝓝 (g x))
have hp : ∀ᵐ x ∂μ, p x fun n => f (v n) x := by
filter_upwards [h_tendsto] with x hx using hx.comp hv
set aeSeqLim := fun x => ite (x ∈ aeSeqSet h'f p) (g x) (⟨f (v 0) x⟩ : Nonempty β).some
refine
⟨aeSeqLim,
measurable_of_tendsto_metrizable' atTop (aeSeq.measurable h'f p)
(tendsto_pi_nhds.mpr fun x => ?_),
?_⟩
· simp_rw [aeSeqLim, aeSeq]
split_ifs with hx
· simp_rw [aeSeq.mk_eq_fun_of_mem_aeSeqSet h'f hx]
exact @aeSeq.fun_prop_of_mem_aeSeqSet _ α β _ _ _ _ _ h'f x hx
· exact tendsto_const_nhds
· exact
(ite_ae_eq_of_measure_compl_zero g (fun x => (⟨f (v 0) x⟩ : Nonempty β).some) (aeSeqSet h'f p)
(aeSeq.measure_compl_aeSeqSet_eq_zero h'f hp)).symm
#align ae_measurable_of_tendsto_metrizable_ae aemeasurable_of_tendsto_metrizable_ae
theorem aemeasurable_of_tendsto_metrizable_ae' {μ : Measure α} {f : ℕ → α → β} {g : α → β}
(hf : ∀ n, AEMeasurable (f n) μ)
(h_ae_tendsto : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 (g x))) : AEMeasurable g μ :=
aemeasurable_of_tendsto_metrizable_ae atTop hf h_ae_tendsto
#align ae_measurable_of_tendsto_metrizable_ae' aemeasurable_of_tendsto_metrizable_ae'
theorem aemeasurable_of_unif_approx {β} [MeasurableSpace β] [PseudoMetricSpace β] [BorelSpace β]
{μ : Measure α} {g : α → β}
(hf : ∀ ε > (0 : ℝ), ∃ f : α → β, AEMeasurable f μ ∧ ∀ᵐ x ∂μ, dist (f x) (g x) ≤ ε) :
AEMeasurable g μ := by
obtain ⟨u, -, u_pos, u_lim⟩ :
∃ u : ℕ → ℝ, StrictAnti u ∧ (∀ n : ℕ, 0 < u n) ∧ Tendsto u atTop (𝓝 0) :=
exists_seq_strictAnti_tendsto (0 : ℝ)
choose f Hf using fun n : ℕ => hf (u n) (u_pos n)
have : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 (g x)) := by
have : ∀ᵐ x ∂μ, ∀ n, dist (f n x) (g x) ≤ u n := ae_all_iff.2 fun n => (Hf n).2
filter_upwards [this]
intro x hx
rw [tendsto_iff_dist_tendsto_zero]
exact squeeze_zero (fun n => dist_nonneg) hx u_lim
exact aemeasurable_of_tendsto_metrizable_ae' (fun n => (Hf n).1) this
#align ae_measurable_of_unif_approx aemeasurable_of_unif_approx
theorem measurable_of_tendsto_metrizable_ae {μ : Measure α} [μ.IsComplete] {f : ℕ → α → β}
{g : α → β} (hf : ∀ n, Measurable (f n))
(h_ae_tendsto : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 (g x))) : Measurable g :=
aemeasurable_iff_measurable.mp
(aemeasurable_of_tendsto_metrizable_ae' (fun i => (hf i).aemeasurable) h_ae_tendsto)
#align measurable_of_tendsto_metrizable_ae measurable_of_tendsto_metrizable_ae
| Mathlib/MeasureTheory/Constructions/BorelSpace/Metrizable.lean | 111 | 136 | theorem measurable_limit_of_tendsto_metrizable_ae {ι} [Countable ι] [Nonempty ι] {μ : Measure α}
{f : ι → α → β} {L : Filter ι} [L.IsCountablyGenerated] (hf : ∀ n, AEMeasurable (f n) μ)
(h_ae_tendsto : ∀ᵐ x ∂μ, ∃ l : β, Tendsto (fun n => f n x) L (𝓝 l)) :
∃ f_lim : α → β, Measurable f_lim ∧ ∀ᵐ x ∂μ, Tendsto (fun n => f n x) L (𝓝 (f_lim x)) := by |
inhabit ι
rcases eq_or_neBot L with (rfl | hL)
· exact ⟨(hf default).mk _, (hf default).measurable_mk, eventually_of_forall fun x => tendsto_bot⟩
let p : α → (ι → β) → Prop := fun x f' => ∃ l : β, Tendsto (fun n => f' n) L (𝓝 l)
have hp_mem : ∀ x ∈ aeSeqSet hf p, p x fun n => f n x := fun x hx =>
aeSeq.fun_prop_of_mem_aeSeqSet hf hx
have h_ae_eq : ∀ᵐ x ∂μ, ∀ n, aeSeq hf p n x = f n x := aeSeq.aeSeq_eq_fun_ae hf h_ae_tendsto
set f_lim : α → β := fun x => dite (x ∈ aeSeqSet hf p) (fun h => (hp_mem x h).choose)
fun _ => (⟨f default x⟩ : Nonempty β).some
have hf_lim : ∀ x, Tendsto (fun n => aeSeq hf p n x) L (𝓝 (f_lim x)) := by
intro x
simp only [aeSeq, f_lim]
split_ifs with h
· refine (hp_mem x h).choose_spec.congr fun n => ?_
exact (aeSeq.mk_eq_fun_of_mem_aeSeqSet hf h n).symm
· exact tendsto_const_nhds
have h_ae_tendsto_f_lim : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) L (𝓝 (f_lim x)) :=
h_ae_eq.mono fun x hx => (hf_lim x).congr hx
have h_f_lim_meas : Measurable f_lim :=
measurable_of_tendsto_metrizable' L (aeSeq.measurable hf p)
(tendsto_pi_nhds.mpr fun x => hf_lim x)
exact ⟨f_lim, h_f_lim_meas, h_ae_tendsto_f_lim⟩
|
import Mathlib.Order.BooleanAlgebra
import Mathlib.Tactic.Common
#align_import order.heyting.boundary from "leanprover-community/mathlib"@"70d50ecfd4900dd6d328da39ab7ebd516abe4025"
variable {α : Type*}
namespace Coheyting
variable [CoheytingAlgebra α] {a b : α}
def boundary (a : α) : α :=
a ⊓ ￢a
#align coheyting.boundary Coheyting.boundary
scoped[Heyting] prefix:120 "∂ " => Coheyting.boundary
-- Porting note: Should the notation be automatically included in the current scope?
open Heyting
-- Porting note: Should hnot be named hNot?
theorem inf_hnot_self (a : α) : a ⊓ ￢a = ∂ a :=
rfl
#align coheyting.inf_hnot_self Coheyting.inf_hnot_self
theorem boundary_le : ∂ a ≤ a :=
inf_le_left
#align coheyting.boundary_le Coheyting.boundary_le
theorem boundary_le_hnot : ∂ a ≤ ￢a :=
inf_le_right
#align coheyting.boundary_le_hnot Coheyting.boundary_le_hnot
@[simp]
theorem boundary_bot : ∂ (⊥ : α) = ⊥ := bot_inf_eq _
#align coheyting.boundary_bot Coheyting.boundary_bot
@[simp]
theorem boundary_top : ∂ (⊤ : α) = ⊥ := by rw [boundary, hnot_top, inf_bot_eq]
#align coheyting.boundary_top Coheyting.boundary_top
theorem boundary_hnot_le (a : α) : ∂ (￢a) ≤ ∂ a :=
(inf_comm _ _).trans_le <| inf_le_inf_right _ hnot_hnot_le
#align coheyting.boundary_hnot_le Coheyting.boundary_hnot_le
@[simp]
theorem boundary_hnot_hnot (a : α) : ∂ (￢￢a) = ∂ (￢a) := by
simp_rw [boundary, hnot_hnot_hnot, inf_comm]
#align coheyting.boundary_hnot_hnot Coheyting.boundary_hnot_hnot
@[simp]
theorem hnot_boundary (a : α) : ￢∂ a = ⊤ := by rw [boundary, hnot_inf_distrib, sup_hnot_self]
#align coheyting.hnot_boundary Coheyting.hnot_boundary
theorem boundary_inf (a b : α) : ∂ (a ⊓ b) = ∂ a ⊓ b ⊔ a ⊓ ∂ b := by
unfold boundary
rw [hnot_inf_distrib, inf_sup_left, inf_right_comm, ← inf_assoc]
#align coheyting.boundary_inf Coheyting.boundary_inf
theorem boundary_inf_le : ∂ (a ⊓ b) ≤ ∂ a ⊔ ∂ b :=
(boundary_inf _ _).trans_le <| sup_le_sup inf_le_left inf_le_right
#align coheyting.boundary_inf_le Coheyting.boundary_inf_le
| Mathlib/Order/Heyting/Boundary.lean | 89 | 93 | theorem boundary_sup_le : ∂ (a ⊔ b) ≤ ∂ a ⊔ ∂ b := by |
rw [boundary, inf_sup_right]
exact
sup_le_sup (inf_le_inf_left _ <| hnot_anti le_sup_left)
(inf_le_inf_left _ <| hnot_anti le_sup_right)
|
import Mathlib.Algebra.Periodic
import Mathlib.Data.Nat.Count
import Mathlib.Data.Nat.GCD.Basic
import Mathlib.Order.Interval.Finset.Nat
#align_import data.nat.periodic from "leanprover-community/mathlib"@"dc6c365e751e34d100e80fe6e314c3c3e0fd2988"
namespace Nat
open Nat Function
| Mathlib/Data/Nat/Periodic.lean | 25 | 26 | theorem periodic_gcd (a : ℕ) : Periodic (gcd a) a := by |
simp only [forall_const, gcd_add_self_right, eq_self_iff_true, Periodic]
|
import Mathlib.CategoryTheory.Limits.HasLimits
import Mathlib.CategoryTheory.Products.Basic
import Mathlib.CategoryTheory.Functor.Currying
import Mathlib.CategoryTheory.Products.Bifunctor
#align_import category_theory.limits.fubini from "leanprover-community/mathlib"@"59382264386afdbaf1727e617f5fdda511992eb9"
universe v u
open CategoryTheory
namespace CategoryTheory.Limits
variable {J K : Type v} [SmallCategory J] [SmallCategory K]
variable {C : Type u} [Category.{v} C]
variable (F : J ⥤ K ⥤ C)
-- We could try introducing a "dependent functor type" to handle this?
structure DiagramOfCones where
obj : ∀ j : J, Cone (F.obj j)
map : ∀ {j j' : J} (f : j ⟶ j'), (Cones.postcompose (F.map f)).obj (obj j) ⟶ obj j'
id : ∀ j : J, (map (𝟙 j)).hom = 𝟙 _ := by aesop_cat
comp : ∀ {j₁ j₂ j₃ : J} (f : j₁ ⟶ j₂) (g : j₂ ⟶ j₃),
(map (f ≫ g)).hom = (map f).hom ≫ (map g).hom := by aesop_cat
#align category_theory.limits.diagram_of_cones CategoryTheory.Limits.DiagramOfCones
structure DiagramOfCocones where
obj : ∀ j : J, Cocone (F.obj j)
map : ∀ {j j' : J} (f : j ⟶ j'), (obj j) ⟶ (Cocones.precompose (F.map f)).obj (obj j')
id : ∀ j : J, (map (𝟙 j)).hom = 𝟙 _ := by aesop_cat
comp : ∀ {j₁ j₂ j₃ : J} (f : j₁ ⟶ j₂) (g : j₂ ⟶ j₃),
(map (f ≫ g)).hom = (map f).hom ≫ (map g).hom := by aesop_cat
variable {F}
@[simps]
def DiagramOfCones.conePoints (D : DiagramOfCones F) : J ⥤ C where
obj j := (D.obj j).pt
map f := (D.map f).hom
map_id j := D.id j
map_comp f g := D.comp f g
#align category_theory.limits.diagram_of_cones.cone_points CategoryTheory.Limits.DiagramOfCones.conePoints
@[simps]
def DiagramOfCocones.coconePoints (D : DiagramOfCocones F) : J ⥤ C where
obj j := (D.obj j).pt
map f := (D.map f).hom
map_id j := D.id j
map_comp f g := D.comp f g
@[simps]
def coneOfConeUncurry {D : DiagramOfCones F} (Q : ∀ j, IsLimit (D.obj j))
(c : Cone (uncurry.obj F)) : Cone D.conePoints where
pt := c.pt
π :=
{ app := fun j =>
(Q j).lift
{ pt := c.pt
π :=
{ app := fun k => c.π.app (j, k)
naturality := fun k k' f => by
dsimp; simp only [Category.id_comp]
have := @NatTrans.naturality _ _ _ _ _ _ c.π (j, k) (j, k') (𝟙 j, f)
dsimp at this
simp? at this says
simp only [Category.id_comp, Functor.map_id, NatTrans.id_app] at this
exact this } }
naturality := fun j j' f =>
(Q j').hom_ext
(by
dsimp
intro k
simp only [Limits.ConeMorphism.w, Limits.Cones.postcompose_obj_π,
Limits.IsLimit.fac_assoc, Limits.IsLimit.fac, NatTrans.comp_app, Category.id_comp,
Category.assoc]
have := @NatTrans.naturality _ _ _ _ _ _ c.π (j, k) (j', k) (f, 𝟙 k)
dsimp at this
simp only [Category.id_comp, Category.comp_id, CategoryTheory.Functor.map_id,
NatTrans.id_app] at this
exact this) }
#align category_theory.limits.cone_of_cone_uncurry CategoryTheory.Limits.coneOfConeUncurry
@[simps]
def coconeOfCoconeUncurry {D : DiagramOfCocones F} (Q : ∀ j, IsColimit (D.obj j))
(c : Cocone (uncurry.obj F)) : Cocone D.coconePoints where
pt := c.pt
ι :=
{ app := fun j =>
(Q j).desc
{ pt := c.pt
ι :=
{ app := fun k => c.ι.app (j, k)
naturality := fun k k' f => by
dsimp; simp only [Category.comp_id]
conv_lhs =>
arg 1; equals (F.map (𝟙 _)).app _ ≫ (F.obj j).map f =>
simp;
conv_lhs => arg 1; rw [← uncurry_obj_map F ((𝟙 j,f) : (j,k) ⟶ (j,k'))]
rw [c.w] } }
naturality := fun j j' f =>
(Q j).hom_ext
(by
dsimp
intro k
simp only [Limits.CoconeMorphism.w_assoc, Limits.Cocones.precompose_obj_ι,
Limits.IsColimit.fac_assoc, Limits.IsColimit.fac, NatTrans.comp_app, Category.comp_id,
Category.assoc]
have := @NatTrans.naturality _ _ _ _ _ _ c.ι (j, k) (j', k) (f, 𝟙 k)
dsimp at this
simp only [Category.id_comp, Category.comp_id, CategoryTheory.Functor.map_id,
NatTrans.id_app] at this
exact this) }
def coneOfConeUncurryIsLimit {D : DiagramOfCones F} (Q : ∀ j, IsLimit (D.obj j))
{c : Cone (uncurry.obj F)} (P : IsLimit c) : IsLimit (coneOfConeUncurry Q c) where
lift s :=
P.lift
{ pt := s.pt
π :=
{ app := fun p => s.π.app p.1 ≫ (D.obj p.1).π.app p.2
naturality := fun p p' f => by
dsimp; simp only [Category.id_comp, Category.assoc]
rcases p with ⟨j, k⟩
rcases p' with ⟨j', k'⟩
rcases f with ⟨fj, fk⟩
dsimp
slice_rhs 3 4 => rw [← NatTrans.naturality]
slice_rhs 2 3 => rw [← (D.obj j).π.naturality]
simp only [Functor.const_obj_map, Category.id_comp, Category.assoc]
have w := (D.map fj).w k'
dsimp at w
rw [← w]
have n := s.π.naturality fj
dsimp at n
simp only [Category.id_comp] at n
rw [n]
simp } }
fac s j := by
apply (Q j).hom_ext
intro k
simp
uniq s m w := by
refine P.uniq
{ pt := s.pt
π := _ } m ?_
rintro ⟨j, k⟩
dsimp
rw [← w j]
simp
#align category_theory.limits.cone_of_cone_uncurry_is_limit CategoryTheory.Limits.coneOfConeUncurryIsLimit
def coconeOfCoconeUncurryIsColimit {D : DiagramOfCocones F} (Q : ∀ j, IsColimit (D.obj j))
{c : Cocone (uncurry.obj F)} (P : IsColimit c) : IsColimit (coconeOfCoconeUncurry Q c) where
desc s :=
P.desc
{ pt := s.pt
ι :=
{ app := fun p => (D.obj p.1).ι.app p.2 ≫ s.ι.app p.1
naturality := fun p p' f => by
dsimp; simp only [Category.id_comp, Category.assoc]
rcases p with ⟨j, k⟩
rcases p' with ⟨j', k'⟩
rcases f with ⟨fj, fk⟩
dsimp
slice_lhs 2 3 => rw [(D.obj j').ι.naturality]
simp only [Functor.const_obj_map, Category.id_comp, Category.assoc]
have w := (D.map fj).w k
dsimp at w
slice_lhs 1 2 => rw [← w]
have n := s.ι.naturality fj
dsimp at n
simp only [Category.comp_id] at n
rw [← n]
simp } }
fac s j := by
apply (Q j).hom_ext
intro k
simp
uniq s m w := by
refine P.uniq
{ pt := s.pt
ι := _ } m ?_
rintro ⟨j, k⟩
dsimp
rw [← w j]
simp
section
variable (F)
variable [HasLimitsOfShape K C]
@[simps]
noncomputable def DiagramOfCones.mkOfHasLimits : DiagramOfCones F where
obj j := limit.cone (F.obj j)
map f := { hom := lim.map (F.map f) }
#align category_theory.limits.diagram_of_cones.mk_of_has_limits CategoryTheory.Limits.DiagramOfCones.mkOfHasLimits
-- Satisfying the inhabited linter.
noncomputable instance diagramOfConesInhabited : Inhabited (DiagramOfCones F) :=
⟨DiagramOfCones.mkOfHasLimits F⟩
#align category_theory.limits.diagram_of_cones_inhabited CategoryTheory.Limits.diagramOfConesInhabited
@[simp]
theorem DiagramOfCones.mkOfHasLimits_conePoints :
(DiagramOfCones.mkOfHasLimits F).conePoints = F ⋙ lim :=
rfl
#align category_theory.limits.diagram_of_cones.mk_of_has_limits_cone_points CategoryTheory.Limits.DiagramOfCones.mkOfHasLimits_conePoints
variable [HasLimit (uncurry.obj F)]
variable [HasLimit (F ⋙ lim)]
noncomputable def limitUncurryIsoLimitCompLim : limit (uncurry.obj F) ≅ limit (F ⋙ lim) := by
let c := limit.cone (uncurry.obj F)
let P : IsLimit c := limit.isLimit _
let G := DiagramOfCones.mkOfHasLimits F
let Q : ∀ j, IsLimit (G.obj j) := fun j => limit.isLimit _
have Q' := coneOfConeUncurryIsLimit Q P
have Q'' := limit.isLimit (F ⋙ lim)
exact IsLimit.conePointUniqueUpToIso Q' Q''
#align category_theory.limits.limit_uncurry_iso_limit_comp_lim CategoryTheory.Limits.limitUncurryIsoLimitCompLim
@[simp, reassoc]
theorem limitUncurryIsoLimitCompLim_hom_π_π {j} {k} :
(limitUncurryIsoLimitCompLim F).hom ≫ limit.π _ j ≫ limit.π _ k = limit.π _ (j, k) := by
dsimp [limitUncurryIsoLimitCompLim, IsLimit.conePointUniqueUpToIso, IsLimit.uniqueUpToIso]
simp
#align category_theory.limits.limit_uncurry_iso_limit_comp_lim_hom_π_π CategoryTheory.Limits.limitUncurryIsoLimitCompLim_hom_π_π
-- Porting note: Added type annotation `limit (_ ⋙ lim) ⟶ _`
@[simp, reassoc]
theorem limitUncurryIsoLimitCompLim_inv_π {j} {k} :
(limitUncurryIsoLimitCompLim F).inv ≫ limit.π _ (j, k) =
(limit.π _ j ≫ limit.π _ k : limit (_ ⋙ lim) ⟶ _) := by
rw [← cancel_epi (limitUncurryIsoLimitCompLim F).hom]
simp
#align category_theory.limits.limit_uncurry_iso_limit_comp_lim_inv_π CategoryTheory.Limits.limitUncurryIsoLimitCompLim_inv_π
end
section
variable (F)
variable [HasColimitsOfShape K C]
@[simps]
noncomputable def DiagramOfCocones.mkOfHasColimits : DiagramOfCocones F where
obj j := colimit.cocone (F.obj j)
map f := { hom := colim.map (F.map f) }
-- Satisfying the inhabited linter.
noncomputable instance diagramOfCoconesInhabited : Inhabited (DiagramOfCocones F) :=
⟨DiagramOfCocones.mkOfHasColimits F⟩
@[simp]
theorem DiagramOfCocones.mkOfHasColimits_coconePoints :
(DiagramOfCocones.mkOfHasColimits F).coconePoints = F ⋙ colim :=
rfl
variable [HasColimit (uncurry.obj F)]
variable [HasColimit (F ⋙ colim)]
noncomputable def colimitUncurryIsoColimitCompColim :
colimit (uncurry.obj F) ≅ colimit (F ⋙ colim) := by
let c := colimit.cocone (uncurry.obj F)
let P : IsColimit c := colimit.isColimit _
let G := DiagramOfCocones.mkOfHasColimits F
let Q : ∀ j, IsColimit (G.obj j) := fun j => colimit.isColimit _
have Q' := coconeOfCoconeUncurryIsColimit Q P
have Q'' := colimit.isColimit (F ⋙ colim)
exact IsColimit.coconePointUniqueUpToIso Q' Q''
@[simp, reassoc]
theorem colimitUncurryIsoColimitCompColim_ι_ι_inv {j} {k} :
colimit.ι (F.obj j) k ≫ colimit.ι (F ⋙ colim) j ≫ (colimitUncurryIsoColimitCompColim F).inv =
colimit.ι (uncurry.obj F) (j, k) := by
dsimp [colimitUncurryIsoColimitCompColim, IsColimit.coconePointUniqueUpToIso,
IsColimit.uniqueUpToIso]
simp
@[simp, reassoc]
theorem colimitUncurryIsoColimitCompColim_ι_hom {j} {k} :
colimit.ι _ (j, k) ≫ (colimitUncurryIsoColimitCompColim F).hom =
(colimit.ι _ k ≫ colimit.ι (F ⋙ colim) j : _ ⟶ (colimit (F ⋙ colim))) := by
rw [← cancel_mono (colimitUncurryIsoColimitCompColim F).inv]
simp
end
section
variable (F) [HasLimitsOfShape J C] [HasLimitsOfShape K C]
-- With only moderate effort these could be derived if needed:
variable [HasLimitsOfShape (J × K) C] [HasLimitsOfShape (K × J) C]
noncomputable def limitFlipCompLimIsoLimitCompLim : limit (F.flip ⋙ lim) ≅ limit (F ⋙ lim) :=
(limitUncurryIsoLimitCompLim _).symm ≪≫
HasLimit.isoOfNatIso (uncurryObjFlip _) ≪≫
HasLimit.isoOfEquivalence (Prod.braiding _ _)
(NatIso.ofComponents fun _ => by rfl) ≪≫
limitUncurryIsoLimitCompLim _
#align category_theory.limits.limit_flip_comp_lim_iso_limit_comp_lim CategoryTheory.Limits.limitFlipCompLimIsoLimitCompLim
-- Porting note: Added type annotation `limit (_ ⋙ lim) ⟶ _`
@[simp, reassoc]
| Mathlib/CategoryTheory/Limits/Fubini.lean | 380 | 384 | theorem limitFlipCompLimIsoLimitCompLim_hom_π_π (j) (k) :
(limitFlipCompLimIsoLimitCompLim F).hom ≫ limit.π _ j ≫ limit.π _ k =
(limit.π _ k ≫ limit.π _ j : limit (_ ⋙ lim) ⟶ _) := by |
dsimp [limitFlipCompLimIsoLimitCompLim]
simp
|
import Mathlib.GroupTheory.Coprod.Basic
import Mathlib.GroupTheory.Complement
open Monoid Coprod Multiplicative Subgroup Function
def HNNExtension.con (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) :
Con (G ∗ Multiplicative ℤ) :=
conGen (fun x y => ∃ (a : A),
x = inr (ofAdd 1) * inl (a : G) ∧
y = inl (φ a : G) * inr (ofAdd 1))
def HNNExtension (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) : Type _ :=
(HNNExtension.con G A B φ).Quotient
variable {G : Type*} [Group G] {A B : Subgroup G} {φ : A ≃* B} {H : Type*}
[Group H] {M : Type*} [Monoid M]
instance : Group (HNNExtension G A B φ) := by
delta HNNExtension; infer_instance
namespace HNNExtension
def of : G →* HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inl
def t : HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inr (ofAdd 1)
theorem t_mul_of (a : A) :
t * (of (a : G) : HNNExtension G A B φ) = of (φ a : G) * t :=
(Con.eq _).2 <| ConGen.Rel.of _ _ <| ⟨a, by simp⟩
theorem of_mul_t (b : B) :
(of (b : G) : HNNExtension G A B φ) * t = t * of (φ.symm b : G) := by
rw [t_mul_of]; simp
theorem equiv_eq_conj (a : A) :
(of (φ a : G) : HNNExtension G A B φ) = t * of (a : G) * t⁻¹ := by
rw [t_mul_of]; simp
theorem equiv_symm_eq_conj (b : B) :
(of (φ.symm b : G) : HNNExtension G A B φ) = t⁻¹ * of (b : G) * t := by
rw [mul_assoc, of_mul_t]; simp
theorem inv_t_mul_of (b : B) :
t⁻¹ * (of (b : G) : HNNExtension G A B φ) = of (φ.symm b : G) * t⁻¹ := by
rw [equiv_symm_eq_conj]; simp
theorem of_mul_inv_t (a : A) :
(of (a : G) : HNNExtension G A B φ) * t⁻¹ = t⁻¹ * of (φ a : G) := by
rw [equiv_eq_conj]; simp [mul_assoc]
def lift (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) :
HNNExtension G A B φ →* H :=
Con.lift _ (Coprod.lift f (zpowersHom H x)) (Con.conGen_le <| by
rintro _ _ ⟨a, rfl, rfl⟩
simp [hx])
@[simp]
theorem lift_t (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) :
lift f x hx t = x := by
delta HNNExtension; simp [lift, t]
@[simp]
theorem lift_of (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) (g : G) :
lift f x hx (of g) = f g := by
delta HNNExtension; simp [lift, of]
@[ext high]
theorem hom_ext {f g : HNNExtension G A B φ →* M}
(hg : f.comp of = g.comp of) (ht : f t = g t) : f = g :=
(MonoidHom.cancel_right Con.mk'_surjective).mp <|
Coprod.hom_ext hg (MonoidHom.ext_mint ht)
@[elab_as_elim]
| Mathlib/GroupTheory/HNNExtension.lean | 113 | 129 | theorem induction_on {motive : HNNExtension G A B φ → Prop}
(x : HNNExtension G A B φ) (of : ∀ g, motive (of g))
(t : motive t) (mul : ∀ x y, motive x → motive y → motive (x * y))
(inv : ∀ x, motive x → motive x⁻¹) : motive x := by |
let S : Subgroup (HNNExtension G A B φ) :=
{ carrier := setOf motive
one_mem' := by simpa using of 1
mul_mem' := mul _ _
inv_mem' := inv _ }
let f : HNNExtension G A B φ →* S :=
lift (HNNExtension.of.codRestrict S of)
⟨HNNExtension.t, t⟩ (by intro a; ext; simp [equiv_eq_conj, mul_assoc])
have hf : S.subtype.comp f = MonoidHom.id _ :=
hom_ext (by ext; simp [f]) (by simp [f])
show motive (MonoidHom.id _ x)
rw [← hf]
exact (f x).2
|
import Mathlib.MeasureTheory.Decomposition.RadonNikodym
import Mathlib.MeasureTheory.Measure.Haar.OfBasis
import Mathlib.Probability.Independence.Basic
#align_import probability.density from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open scoped Classical MeasureTheory NNReal ENNReal
open TopologicalSpace MeasureTheory.Measure
noncomputable section
namespace MeasureTheory
variable {Ω E : Type*} [MeasurableSpace E]
class HasPDF {m : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω)
(μ : Measure E := by volume_tac) : Prop where
pdf' : AEMeasurable X ℙ ∧ (map X ℙ).HaveLebesgueDecomposition μ ∧ map X ℙ ≪ μ
#align measure_theory.has_pdf MeasureTheory.HasPDF
def pdf {_ : MeasurableSpace Ω} (X : Ω → E) (ℙ : Measure Ω) (μ : Measure E := by volume_tac) :
E → ℝ≥0∞ :=
(map X ℙ).rnDeriv μ
#align measure_theory.pdf MeasureTheory.pdf
theorem pdf_def {_ : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E} {X : Ω → E} :
pdf X ℙ μ = (map X ℙ).rnDeriv μ := rfl
theorem pdf_of_not_aemeasurable {_ : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E}
{X : Ω → E} (hX : ¬AEMeasurable X ℙ) : pdf X ℙ μ =ᵐ[μ] 0 := by
rw [pdf_def, map_of_not_aemeasurable hX]
exact rnDeriv_zero μ
#align measure_theory.pdf_eq_zero_of_not_measurable MeasureTheory.pdf_of_not_aemeasurable
theorem pdf_of_not_haveLebesgueDecomposition {_ : MeasurableSpace Ω} {ℙ : Measure Ω}
{μ : Measure E} {X : Ω → E} (h : ¬(map X ℙ).HaveLebesgueDecomposition μ) : pdf X ℙ μ = 0 :=
rnDeriv_of_not_haveLebesgueDecomposition h
theorem aemeasurable_of_pdf_ne_zero {m : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E}
(X : Ω → E) (h : ¬pdf X ℙ μ =ᵐ[μ] 0) : AEMeasurable X ℙ := by
contrapose! h
exact pdf_of_not_aemeasurable h
#align measure_theory.measurable_of_pdf_ne_zero MeasureTheory.aemeasurable_of_pdf_ne_zero
| Mathlib/Probability/Density.lean | 158 | 164 | theorem hasPDF_of_pdf_ne_zero {m : MeasurableSpace Ω} {ℙ : Measure Ω} {μ : Measure E} {X : Ω → E}
(hac : map X ℙ ≪ μ) (hpdf : ¬pdf X ℙ μ =ᵐ[μ] 0) : HasPDF X ℙ μ := by |
refine ⟨?_, ?_, hac⟩
· exact aemeasurable_of_pdf_ne_zero X hpdf
· contrapose! hpdf
have := pdf_of_not_haveLebesgueDecomposition hpdf
filter_upwards using congrFun this
|
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Ring.Regular
import Mathlib.Order.Interval.Set.Basic
#align_import data.set.intervals.instances from "leanprover-community/mathlib"@"d012cd09a9b256d870751284dd6a29882b0be105"
open Set
variable {α : Type*}
section OrderedSemiring
variable [OrderedSemiring α]
namespace Set.Icc
instance zero : Zero (Icc (0 : α) 1) where zero := ⟨0, left_mem_Icc.2 zero_le_one⟩
#align set.Icc.has_zero Set.Icc.zero
instance one : One (Icc (0 : α) 1) where one := ⟨1, right_mem_Icc.2 zero_le_one⟩
#align set.Icc.has_one Set.Icc.one
@[simp, norm_cast]
theorem coe_zero : ↑(0 : Icc (0 : α) 1) = (0 : α) :=
rfl
#align set.Icc.coe_zero Set.Icc.coe_zero
@[simp, norm_cast]
theorem coe_one : ↑(1 : Icc (0 : α) 1) = (1 : α) :=
rfl
#align set.Icc.coe_one Set.Icc.coe_one
@[simp]
theorem mk_zero (h : (0 : α) ∈ Icc (0 : α) 1) : (⟨0, h⟩ : Icc (0 : α) 1) = 0 :=
rfl
#align set.Icc.mk_zero Set.Icc.mk_zero
@[simp]
theorem mk_one (h : (1 : α) ∈ Icc (0 : α) 1) : (⟨1, h⟩ : Icc (0 : α) 1) = 1 :=
rfl
#align set.Icc.mk_one Set.Icc.mk_one
@[simp, norm_cast]
theorem coe_eq_zero {x : Icc (0 : α) 1} : (x : α) = 0 ↔ x = 0 := by
symm
exact Subtype.ext_iff
#align set.Icc.coe_eq_zero Set.Icc.coe_eq_zero
theorem coe_ne_zero {x : Icc (0 : α) 1} : (x : α) ≠ 0 ↔ x ≠ 0 :=
not_iff_not.mpr coe_eq_zero
#align set.Icc.coe_ne_zero Set.Icc.coe_ne_zero
@[simp, norm_cast]
| Mathlib/Algebra/Order/Interval/Set/Instances.lean | 89 | 91 | theorem coe_eq_one {x : Icc (0 : α) 1} : (x : α) = 1 ↔ x = 1 := by |
symm
exact Subtype.ext_iff
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Reverse
import Mathlib.Algebra.Polynomial.Inductions
import Mathlib.RingTheory.Localization.Basic
#align_import data.polynomial.laurent from "leanprover-community/mathlib"@"831c494092374cfe9f50591ed0ac81a25efc5b86"
open Polynomial Function AddMonoidAlgebra Finsupp
noncomputable section
variable {R : Type*}
abbrev LaurentPolynomial (R : Type*) [Semiring R] :=
AddMonoidAlgebra R ℤ
#align laurent_polynomial LaurentPolynomial
@[nolint docBlame]
scoped[LaurentPolynomial] notation:9000 R "[T;T⁻¹]" => LaurentPolynomial R
open LaurentPolynomial
-- Porting note: `ext` no longer applies `Finsupp.ext` automatically
@[ext]
theorem LaurentPolynomial.ext [Semiring R] {p q : R[T;T⁻¹]} (h : ∀ a, p a = q a) : p = q :=
Finsupp.ext h
def Polynomial.toLaurent [Semiring R] : R[X] →+* R[T;T⁻¹] :=
(mapDomainRingHom R Int.ofNatHom).comp (toFinsuppIso R)
#align polynomial.to_laurent Polynomial.toLaurent
theorem Polynomial.toLaurent_apply [Semiring R] (p : R[X]) :
toLaurent p = p.toFinsupp.mapDomain (↑) :=
rfl
#align polynomial.to_laurent_apply Polynomial.toLaurent_apply
def Polynomial.toLaurentAlg [CommSemiring R] : R[X] →ₐ[R] R[T;T⁻¹] :=
(mapDomainAlgHom R R Int.ofNatHom).comp (toFinsuppIsoAlg R).toAlgHom
#align polynomial.to_laurent_alg Polynomial.toLaurentAlg
@[simp] lemma Polynomial.coe_toLaurentAlg [CommSemiring R] :
(toLaurentAlg : R[X] → R[T;T⁻¹]) = toLaurent :=
rfl
theorem Polynomial.toLaurentAlg_apply [CommSemiring R] (f : R[X]) : toLaurentAlg f = toLaurent f :=
rfl
#align polynomial.to_laurent_alg_apply Polynomial.toLaurentAlg_apply
namespace LaurentPolynomial
section Semiring
variable [Semiring R]
theorem single_zero_one_eq_one : (Finsupp.single 0 1 : R[T;T⁻¹]) = (1 : R[T;T⁻¹]) :=
rfl
#align laurent_polynomial.single_zero_one_eq_one LaurentPolynomial.single_zero_one_eq_one
def C : R →+* R[T;T⁻¹] :=
singleZeroRingHom
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.C LaurentPolynomial.C
theorem algebraMap_apply {R A : Type*} [CommSemiring R] [Semiring A] [Algebra R A] (r : R) :
algebraMap R (LaurentPolynomial A) r = C (algebraMap R A r) :=
rfl
#align laurent_polynomial.algebra_map_apply LaurentPolynomial.algebraMap_apply
theorem C_eq_algebraMap {R : Type*} [CommSemiring R] (r : R) : C r = algebraMap R R[T;T⁻¹] r :=
rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.C_eq_algebra_map LaurentPolynomial.C_eq_algebraMap
theorem single_eq_C (r : R) : Finsupp.single 0 r = C r := rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.single_eq_C LaurentPolynomial.single_eq_C
@[simp] lemma C_apply (t : R) (n : ℤ) : C t n = if n = 0 then t else 0 := by
rw [← single_eq_C, Finsupp.single_apply]; aesop
def T (n : ℤ) : R[T;T⁻¹] :=
Finsupp.single n 1
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T LaurentPolynomial.T
@[simp] lemma T_apply (m n : ℤ) : (T n : R[T;T⁻¹]) m = if n = m then 1 else 0 :=
Finsupp.single_apply
@[simp]
theorem T_zero : (T 0 : R[T;T⁻¹]) = 1 :=
rfl
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_zero LaurentPolynomial.T_zero
theorem T_add (m n : ℤ) : (T (m + n) : R[T;T⁻¹]) = T m * T n := by
-- Porting note: was `convert single_mul_single.symm`
simp [T, single_mul_single]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_add LaurentPolynomial.T_add
theorem T_sub (m n : ℤ) : (T (m - n) : R[T;T⁻¹]) = T m * T (-n) := by rw [← T_add, sub_eq_add_neg]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_sub LaurentPolynomial.T_sub
@[simp]
theorem T_pow (m : ℤ) (n : ℕ) : (T m ^ n : R[T;T⁻¹]) = T (n * m) := by
rw [T, T, single_pow n, one_pow, nsmul_eq_mul]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.T_pow LaurentPolynomial.T_pow
@[simp]
theorem mul_T_assoc (f : R[T;T⁻¹]) (m n : ℤ) : f * T m * T n = f * T (m + n) := by
simp [← T_add, mul_assoc]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.mul_T_assoc LaurentPolynomial.mul_T_assoc
@[simp]
theorem single_eq_C_mul_T (r : R) (n : ℤ) :
(Finsupp.single n r : R[T;T⁻¹]) = (C r * T n : R[T;T⁻¹]) := by
-- Porting note: was `convert single_mul_single.symm`
simp [C, T, single_mul_single]
set_option linter.uppercaseLean3 false in
#align laurent_polynomial.single_eq_C_mul_T LaurentPolynomial.single_eq_C_mul_T
-- This lemma locks in the right changes and is what Lean proved directly.
-- The actual `simp`-normal form of a Laurent monomial is `C a * T n`, whenever it can be reached.
@[simp]
theorem _root_.Polynomial.toLaurent_C_mul_T (n : ℕ) (r : R) :
(toLaurent (Polynomial.monomial n r) : R[T;T⁻¹]) = C r * T n :=
show Finsupp.mapDomain (↑) (monomial n r).toFinsupp = (C r * T n : R[T;T⁻¹]) by
rw [toFinsupp_monomial, Finsupp.mapDomain_single, single_eq_C_mul_T]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C_mul_T Polynomial.toLaurent_C_mul_T
@[simp]
theorem _root_.Polynomial.toLaurent_C (r : R) : toLaurent (Polynomial.C r) = C r := by
convert Polynomial.toLaurent_C_mul_T 0 r
simp only [Int.ofNat_zero, T_zero, mul_one]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C Polynomial.toLaurent_C
@[simp]
theorem _root_.Polynomial.toLaurent_comp_C : toLaurent (R := R) ∘ Polynomial.C = C :=
funext Polynomial.toLaurent_C
@[simp]
theorem _root_.Polynomial.toLaurent_X : (toLaurent Polynomial.X : R[T;T⁻¹]) = T 1 := by
have : (Polynomial.X : R[X]) = monomial 1 1 := by simp [← C_mul_X_pow_eq_monomial]
simp [this, Polynomial.toLaurent_C_mul_T]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_X Polynomial.toLaurent_X
-- @[simp] -- Porting note (#10618): simp can prove this
theorem _root_.Polynomial.toLaurent_one : (Polynomial.toLaurent : R[X] → R[T;T⁻¹]) 1 = 1 :=
map_one Polynomial.toLaurent
#align polynomial.to_laurent_one Polynomial.toLaurent_one
-- @[simp] -- Porting note (#10618): simp can prove this
theorem _root_.Polynomial.toLaurent_C_mul_eq (r : R) (f : R[X]) :
toLaurent (Polynomial.C r * f) = C r * toLaurent f := by
simp only [_root_.map_mul, Polynomial.toLaurent_C]
set_option linter.uppercaseLean3 false in
#align polynomial.to_laurent_C_mul_eq Polynomial.toLaurent_C_mul_eq
-- @[simp] -- Porting note (#10618): simp can prove this
| Mathlib/Algebra/Polynomial/Laurent.lean | 257 | 258 | theorem _root_.Polynomial.toLaurent_X_pow (n : ℕ) : toLaurent (X ^ n : R[X]) = T n := by |
simp only [map_pow, Polynomial.toLaurent_X, T_pow, mul_one]
|
import Mathlib.Data.Nat.SuccPred
import Mathlib.Algebra.CharZero.Lemmas
import Mathlib.Algebra.Order.Sub.WithTop
import Mathlib.Algebra.Order.Ring.WithTop
#align_import data.enat.basic from "leanprover-community/mathlib"@"ceb887ddf3344dab425292e497fa2af91498437c"
def ENat : Type :=
WithTop ℕ
deriving Zero,
-- AddCommMonoidWithOne,
CanonicallyOrderedCommSemiring, Nontrivial,
LinearOrder, Bot, Top, CanonicallyLinearOrderedAddCommMonoid, Sub,
LinearOrderedAddCommMonoidWithTop, WellFoundedRelation, Inhabited
-- OrderBot, OrderTop, OrderedSub, SuccOrder, WellFoundedLt, CharZero
#align enat ENat
-- Porting Note: In `Data.Nat.ENatPart` proofs timed out when having
-- the `deriving AddCommMonoidWithOne`, and it seems to work without.
notation "ℕ∞" => ENat
namespace ENat
-- Porting note: instances that derive failed to find
instance : OrderBot ℕ∞ := WithTop.orderBot
instance : OrderTop ℕ∞ := WithTop.orderTop
instance : OrderedSub ℕ∞ := inferInstanceAs (OrderedSub (WithTop ℕ))
instance : SuccOrder ℕ∞ := inferInstanceAs (SuccOrder (WithTop ℕ))
instance : WellFoundedLT ℕ∞ := inferInstanceAs (WellFoundedLT (WithTop ℕ))
instance : CharZero ℕ∞ := inferInstanceAs (CharZero (WithTop ℕ))
instance : IsWellOrder ℕ∞ (· < ·) where
variable {m n : ℕ∞}
@[simp] theorem some_eq_coe : (WithTop.some : ℕ → ℕ∞) = Nat.cast := rfl
-- Porting note: `simp` and `norm_cast` can prove it
--@[simp, norm_cast]
theorem coe_zero : ((0 : ℕ) : ℕ∞) = 0 :=
rfl
#align enat.coe_zero ENat.coe_zero
-- Porting note: `simp` and `norm_cast` can prove it
--@[simp, norm_cast]
theorem coe_one : ((1 : ℕ) : ℕ∞) = 1 :=
rfl
#align enat.coe_one ENat.coe_one
-- Porting note: `simp` and `norm_cast` can prove it
--@[simp, norm_cast]
theorem coe_add (m n : ℕ) : ↑(m + n) = (m + n : ℕ∞) :=
rfl
#align enat.coe_add ENat.coe_add
@[simp, norm_cast]
theorem coe_sub (m n : ℕ) : ↑(m - n) = (m - n : ℕ∞) :=
rfl
#align enat.coe_sub ENat.coe_sub
-- Eligible for dsimp
@[simp, nolint simpNF] lemma coe_mul (m n : ℕ) : ↑(m * n) = (m * n : ℕ∞) := rfl
#align enat.coe_mul ENat.coe_mul
@[simp] theorem mul_top (hm : m ≠ 0) : m * ⊤ = ⊤ := WithTop.mul_top hm
@[simp] theorem top_mul (hm : m ≠ 0) : ⊤ * m = ⊤ := WithTop.top_mul hm
instance canLift : CanLift ℕ∞ ℕ (↑) (· ≠ ⊤) := WithTop.canLift
#align enat.can_lift ENat.canLift
instance : WellFoundedRelation ℕ∞ where
rel := (· < ·)
wf := IsWellFounded.wf
def toNat : MonoidWithZeroHom ℕ∞ ℕ where
toFun := WithTop.untop' 0
map_one' := rfl
map_zero' := rfl
map_mul' := WithTop.untop'_zero_mul
#align enat.to_nat ENat.toNat
@[simp]
theorem toNat_coe (n : ℕ) : toNat n = n :=
rfl
#align enat.to_nat_coe ENat.toNat_coe
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem toNat_ofNat (n : ℕ) [n.AtLeastTwo] : toNat (no_index (OfNat.ofNat n)) = n :=
rfl
@[simp]
theorem toNat_top : toNat ⊤ = 0 :=
rfl
#align enat.to_nat_top ENat.toNat_top
@[simp] theorem toNat_eq_zero : toNat n = 0 ↔ n = 0 ∨ n = ⊤ := WithTop.untop'_eq_self_iff
-- Porting note (#11445): new definition copied from `WithTop`
@[elab_as_elim, induction_eliminator, cases_eliminator]
def recTopCoe {C : ℕ∞ → Sort*} (top : C ⊤) (coe : ∀ a : ℕ, C a) : ∀ n : ℕ∞, C n
| none => top
| Option.some a => coe a
-- Porting note (#10756): new theorem copied from `WithTop`
@[simp]
theorem recTopCoe_top {C : ℕ∞ → Sort*} (d : C ⊤) (f : ∀ a : ℕ, C a) :
@recTopCoe C d f ⊤ = d :=
rfl
-- Porting note (#10756): new theorem copied from `WithTop`
@[simp]
theorem recTopCoe_coe {C : ℕ∞ → Sort*} (d : C ⊤) (f : ∀ a : ℕ, C a) (x : ℕ) :
@recTopCoe C d f ↑x = f x :=
rfl
@[simp]
theorem recTopCoe_zero {C : ℕ∞ → Sort*} (d : C ⊤) (f : ∀ a : ℕ, C a) : @recTopCoe C d f 0 = f 0 :=
rfl
@[simp]
theorem recTopCoe_one {C : ℕ∞ → Sort*} (d : C ⊤) (f : ∀ a : ℕ, C a) : @recTopCoe C d f 1 = f 1 :=
rfl
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem recTopCoe_ofNat {C : ℕ∞ → Sort*} (d : C ⊤) (f : ∀ a : ℕ, C a) (x : ℕ) [x.AtLeastTwo] :
@recTopCoe C d f (no_index (OfNat.ofNat x)) = f (OfNat.ofNat x) :=
rfl
-- Porting note (#10756): new theorem copied from `WithTop`
@[simp]
theorem top_ne_coe (a : ℕ) : ⊤ ≠ (a : ℕ∞) :=
nofun
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem top_ne_ofNat (a : ℕ) [a.AtLeastTwo] : ⊤ ≠ (no_index (OfNat.ofNat a : ℕ∞)) :=
nofun
-- Porting note (#10756): new theorem copied from `WithTop`
@[simp]
theorem coe_ne_top (a : ℕ) : (a : ℕ∞) ≠ ⊤ :=
nofun
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem ofNat_ne_top (a : ℕ) [a.AtLeastTwo] : (no_index (OfNat.ofNat a : ℕ∞)) ≠ ⊤ :=
nofun
-- Porting note (#10756): new theorem copied from `WithTop`
@[simp]
theorem top_sub_coe (a : ℕ) : (⊤ : ℕ∞) - a = ⊤ :=
WithTop.top_sub_coe
@[simp]
theorem top_sub_one : (⊤ : ℕ∞) - 1 = ⊤ :=
top_sub_coe 1
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem top_sub_ofNat (a : ℕ) [a.AtLeastTwo] : (⊤ : ℕ∞) - (no_index (OfNat.ofNat a)) = ⊤ :=
top_sub_coe a
@[simp]
theorem zero_lt_top : (0 : ℕ∞) < ⊤ :=
WithTop.zero_lt_top
-- Porting note (#10756): new theorem copied from `WithTop`
theorem sub_top (a : ℕ∞) : a - ⊤ = 0 :=
WithTop.sub_top
@[simp]
theorem coe_toNat_eq_self : ENat.toNat n = n ↔ n ≠ ⊤ :=
ENat.recTopCoe (by decide) (fun _ => by simp [toNat_coe]) n
#align enat.coe_to_nat_eq_self ENat.coe_toNat_eq_self
alias ⟨_, coe_toNat⟩ := coe_toNat_eq_self
#align enat.coe_to_nat ENat.coe_toNat
theorem coe_toNat_le_self (n : ℕ∞) : ↑(toNat n) ≤ n :=
ENat.recTopCoe le_top (fun _ => le_rfl) n
#align enat.coe_to_nat_le_self ENat.coe_toNat_le_self
theorem toNat_add {m n : ℕ∞} (hm : m ≠ ⊤) (hn : n ≠ ⊤) : toNat (m + n) = toNat m + toNat n := by
lift m to ℕ using hm
lift n to ℕ using hn
rfl
#align enat.to_nat_add ENat.toNat_add
theorem toNat_sub {n : ℕ∞} (hn : n ≠ ⊤) (m : ℕ∞) : toNat (m - n) = toNat m - toNat n := by
lift n to ℕ using hn
induction m
· rw [top_sub_coe, toNat_top, zero_tsub]
· rw [← coe_sub, toNat_coe, toNat_coe, toNat_coe]
#align enat.to_nat_sub ENat.toNat_sub
| Mathlib/Data/ENat/Basic.lean | 224 | 225 | theorem toNat_eq_iff {m : ℕ∞} {n : ℕ} (hn : n ≠ 0) : toNat m = n ↔ m = n := by |
induction m <;> simp [hn.symm]
|
import Mathlib.Data.Int.Range
import Mathlib.Data.ZMod.Basic
import Mathlib.NumberTheory.MulChar.Basic
#align_import number_theory.legendre_symbol.zmod_char from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
namespace ZMod
section QuadCharModP
@[simps]
def χ₄ : MulChar (ZMod 4) ℤ where
toFun := (![0, 1, 0, -1] : ZMod 4 → ℤ)
map_one' := rfl
map_mul' := by decide
map_nonunit' := by decide
#align zmod.χ₄ ZMod.χ₄
theorem isQuadratic_χ₄ : χ₄.IsQuadratic := by
intro a
-- Porting note (#11043): was `decide!`
fin_cases a
all_goals decide
#align zmod.is_quadratic_χ₄ ZMod.isQuadratic_χ₄
theorem χ₄_nat_mod_four (n : ℕ) : χ₄ n = χ₄ (n % 4 : ℕ) := by rw [← ZMod.natCast_mod n 4]
#align zmod.χ₄_nat_mod_four ZMod.χ₄_nat_mod_four
theorem χ₄_int_mod_four (n : ℤ) : χ₄ n = χ₄ (n % 4 : ℤ) := by
rw [← ZMod.intCast_mod n 4]
norm_cast
#align zmod.χ₄_int_mod_four ZMod.χ₄_int_mod_four
theorem χ₄_int_eq_if_mod_four (n : ℤ) :
χ₄ n = if n % 2 = 0 then 0 else if n % 4 = 1 then 1 else -1 := by
have help : ∀ m : ℤ, 0 ≤ m → m < 4 → χ₄ m = if m % 2 = 0 then 0 else if m = 1 then 1 else -1 := by
decide
rw [← Int.emod_emod_of_dvd n (by decide : (2 : ℤ) ∣ 4), ← ZMod.intCast_mod n 4]
exact help (n % 4) (Int.emod_nonneg n (by norm_num)) (Int.emod_lt n (by norm_num))
#align zmod.χ₄_int_eq_if_mod_four ZMod.χ₄_int_eq_if_mod_four
theorem χ₄_nat_eq_if_mod_four (n : ℕ) :
χ₄ n = if n % 2 = 0 then 0 else if n % 4 = 1 then 1 else -1 :=
mod_cast χ₄_int_eq_if_mod_four n
#align zmod.χ₄_nat_eq_if_mod_four ZMod.χ₄_nat_eq_if_mod_four
theorem χ₄_eq_neg_one_pow {n : ℕ} (hn : n % 2 = 1) : χ₄ n = (-1) ^ (n / 2) := by
rw [χ₄_nat_eq_if_mod_four]
simp only [hn, Nat.one_ne_zero, if_false]
conv_rhs => -- Porting note: was `nth_rw`
arg 2; rw [← Nat.div_add_mod n 4]
enter [1, 1, 1]; rw [(by norm_num : 4 = 2 * 2)]
rw [mul_assoc, add_comm, Nat.add_mul_div_left _ _ (by norm_num : 0 < 2), pow_add, pow_mul,
neg_one_sq, one_pow, mul_one]
have help : ∀ m : ℕ, m < 4 → m % 2 = 1 → ite (m = 1) (1 : ℤ) (-1) = (-1) ^ (m / 2) := by decide
exact
help (n % 4) (Nat.mod_lt n (by norm_num))
((Nat.mod_mod_of_dvd n (by decide : 2 ∣ 4)).trans hn)
#align zmod.χ₄_eq_neg_one_pow ZMod.χ₄_eq_neg_one_pow
theorem χ₄_nat_one_mod_four {n : ℕ} (hn : n % 4 = 1) : χ₄ n = 1 := by
rw [χ₄_nat_mod_four, hn]
rfl
#align zmod.χ₄_nat_one_mod_four ZMod.χ₄_nat_one_mod_four
theorem χ₄_nat_three_mod_four {n : ℕ} (hn : n % 4 = 3) : χ₄ n = -1 := by
rw [χ₄_nat_mod_four, hn]
rfl
#align zmod.χ₄_nat_three_mod_four ZMod.χ₄_nat_three_mod_four
theorem χ₄_int_one_mod_four {n : ℤ} (hn : n % 4 = 1) : χ₄ n = 1 := by
rw [χ₄_int_mod_four, hn]
rfl
#align zmod.χ₄_int_one_mod_four ZMod.χ₄_int_one_mod_four
theorem χ₄_int_three_mod_four {n : ℤ} (hn : n % 4 = 3) : χ₄ n = -1 := by
rw [χ₄_int_mod_four, hn]
rfl
#align zmod.χ₄_int_three_mod_four ZMod.χ₄_int_three_mod_four
theorem neg_one_pow_div_two_of_one_mod_four {n : ℕ} (hn : n % 4 = 1) : (-1 : ℤ) ^ (n / 2) = 1 := by
rw [← χ₄_eq_neg_one_pow (Nat.odd_of_mod_four_eq_one hn), ← natCast_mod, hn]
rfl
#align zmod.neg_one_pow_div_two_of_one_mod_four ZMod.neg_one_pow_div_two_of_one_mod_four
theorem neg_one_pow_div_two_of_three_mod_four {n : ℕ} (hn : n % 4 = 3) :
(-1 : ℤ) ^ (n / 2) = -1 := by
rw [← χ₄_eq_neg_one_pow (Nat.odd_of_mod_four_eq_three hn), ← natCast_mod, hn]
rfl
#align zmod.neg_one_pow_div_two_of_three_mod_four ZMod.neg_one_pow_div_two_of_three_mod_four
@[simps]
def χ₈ : MulChar (ZMod 8) ℤ where
toFun := (![0, 1, 0, -1, 0, -1, 0, 1] : ZMod 8 → ℤ)
map_one' := rfl
map_mul' := by decide
map_nonunit' := by decide
#align zmod.χ₈ ZMod.χ₈
theorem isQuadratic_χ₈ : χ₈.IsQuadratic := by
intro a
-- Porting note: was `decide!`
fin_cases a
all_goals decide
#align zmod.is_quadratic_χ₈ ZMod.isQuadratic_χ₈
theorem χ₈_nat_mod_eight (n : ℕ) : χ₈ n = χ₈ (n % 8 : ℕ) := by rw [← ZMod.natCast_mod n 8]
#align zmod.χ₈_nat_mod_eight ZMod.χ₈_nat_mod_eight
theorem χ₈_int_mod_eight (n : ℤ) : χ₈ n = χ₈ (n % 8 : ℤ) := by
rw [← ZMod.intCast_mod n 8]
norm_cast
#align zmod.χ₈_int_mod_eight ZMod.χ₈_int_mod_eight
theorem χ₈_int_eq_if_mod_eight (n : ℤ) :
χ₈ n = if n % 2 = 0 then 0 else if n % 8 = 1 ∨ n % 8 = 7 then 1 else -1 := by
have help :
∀ m : ℤ, 0 ≤ m → m < 8 → χ₈ m = if m % 2 = 0 then 0 else if m = 1 ∨ m = 7 then 1 else -1 := by
decide
rw [← Int.emod_emod_of_dvd n (by decide : (2 : ℤ) ∣ 8), ← ZMod.intCast_mod n 8]
exact help (n % 8) (Int.emod_nonneg n (by norm_num)) (Int.emod_lt n (by norm_num))
#align zmod.χ₈_int_eq_if_mod_eight ZMod.χ₈_int_eq_if_mod_eight
theorem χ₈_nat_eq_if_mod_eight (n : ℕ) :
χ₈ n = if n % 2 = 0 then 0 else if n % 8 = 1 ∨ n % 8 = 7 then 1 else -1 :=
mod_cast χ₈_int_eq_if_mod_eight n
#align zmod.χ₈_nat_eq_if_mod_eight ZMod.χ₈_nat_eq_if_mod_eight
@[simps]
def χ₈' : MulChar (ZMod 8) ℤ where
toFun := (![0, 1, 0, 1, 0, -1, 0, -1] : ZMod 8 → ℤ)
map_one' := rfl
map_mul' := by decide
map_nonunit' := by decide
#align zmod.χ₈' ZMod.χ₈'
theorem isQuadratic_χ₈' : χ₈'.IsQuadratic := by
intro a
-- Porting note: was `decide!`
fin_cases a
all_goals decide
#align zmod.is_quadratic_χ₈' ZMod.isQuadratic_χ₈'
theorem χ₈'_int_eq_if_mod_eight (n : ℤ) :
χ₈' n = if n % 2 = 0 then 0 else if n % 8 = 1 ∨ n % 8 = 3 then 1 else -1 := by
have help :
∀ m : ℤ, 0 ≤ m → m < 8 → χ₈' m = if m % 2 = 0 then 0 else if m = 1 ∨ m = 3 then 1 else -1 := by
decide
rw [← Int.emod_emod_of_dvd n (by decide : (2 : ℤ) ∣ 8), ← ZMod.intCast_mod n 8]
exact help (n % 8) (Int.emod_nonneg n (by norm_num)) (Int.emod_lt n (by norm_num))
#align zmod.χ₈'_int_eq_if_mod_eight ZMod.χ₈'_int_eq_if_mod_eight
theorem χ₈'_nat_eq_if_mod_eight (n : ℕ) :
χ₈' n = if n % 2 = 0 then 0 else if n % 8 = 1 ∨ n % 8 = 3 then 1 else -1 :=
mod_cast χ₈'_int_eq_if_mod_eight n
#align zmod.χ₈'_nat_eq_if_mod_eight ZMod.χ₈'_nat_eq_if_mod_eight
theorem χ₈'_eq_χ₄_mul_χ₈ (a : ZMod 8) : χ₈' a = χ₄ (cast a) * χ₈ a := by
-- Porting note: was `decide!`
fin_cases a
all_goals decide
#align zmod.χ₈'_eq_χ₄_mul_χ₈ ZMod.χ₈'_eq_χ₄_mul_χ₈
| Mathlib/NumberTheory/LegendreSymbol/ZModChar.lean | 214 | 216 | theorem χ₈'_int_eq_χ₄_mul_χ₈ (a : ℤ) : χ₈' a = χ₄ a * χ₈ a := by |
rw [← @cast_intCast 8 (ZMod 4) _ 4 _ (by decide) a]
exact χ₈'_eq_χ₄_mul_χ₈ a
|
import Mathlib.Geometry.Euclidean.Angle.Oriented.Affine
import Mathlib.Geometry.Euclidean.Angle.Unoriented.RightAngle
#align_import geometry.euclidean.angle.oriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open scoped EuclideanGeometry
open scoped Real
open scoped RealInnerProductSpace
namespace Orientation
open FiniteDimensional
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
variable [hd2 : Fact (finrank ℝ V = 2)] (o : Orientation ℝ V (Fin 2))
theorem oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two
theorem oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x + y) y = Real.arccos (‖y‖ / ‖x + y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).oangle_add_right_eq_arccos_of_oangle_eq_pi_div_two h
#align orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arccos_of_oangle_eq_pi_div_two
theorem oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two
theorem oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x + y) y = Real.arcsin (‖x‖ / ‖x + y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).oangle_add_right_eq_arcsin_of_oangle_eq_pi_div_two h
#align orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arcsin_of_oangle_eq_pi_div_two
theorem oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h) (o.left_ne_zero_of_oangle_eq_pi_div_two h)]
#align orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two
theorem oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x + y) y = Real.arctan (‖x‖ / ‖y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).oangle_add_right_eq_arctan_of_oangle_eq_pi_div_two h
#align orientation.oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_add_left_eq_arctan_of_oangle_eq_pi_div_two
theorem cos_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.cos (o.oangle x (x + y)) = ‖x‖ / ‖x + y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.cos_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.cos_oangle_add_right_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_right_of_oangle_eq_pi_div_two
theorem cos_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.cos (o.oangle (x + y) y) = ‖y‖ / ‖x + y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).cos_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.cos_oangle_add_left_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_left_of_oangle_eq_pi_div_two
theorem sin_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.sin (o.oangle x (x + y)) = ‖y‖ / ‖x + y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
InnerProductGeometry.sin_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.sin_oangle_add_right_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_right_of_oangle_eq_pi_div_two
theorem sin_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.sin (o.oangle (x + y) y) = ‖x‖ / ‖x + y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).sin_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.sin_oangle_add_left_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_left_of_oangle_eq_pi_div_two
theorem tan_oangle_add_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.tan (o.oangle x (x + y)) = ‖y‖ / ‖x‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
InnerProductGeometry.tan_angle_add_of_inner_eq_zero (o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.tan_oangle_add_right_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_right_of_oangle_eq_pi_div_two
theorem tan_oangle_add_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.tan (o.oangle (x + y) y) = ‖x‖ / ‖y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).tan_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.tan_oangle_add_left_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_left_of_oangle_eq_pi_div_two
theorem cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle x (x + y)) * ‖x + y‖ = ‖x‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.cos_angle_add_mul_norm_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two
theorem cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle (x + y) y) * ‖x + y‖ = ‖y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).cos_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two
theorem sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle x (x + y)) * ‖x + y‖ = ‖y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
InnerProductGeometry.sin_angle_add_mul_norm_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two
theorem sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle (x + y) y) * ‖x + y‖ = ‖x‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).sin_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two
theorem tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle x (x + y)) * ‖x‖ = ‖y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
InnerProductGeometry.tan_angle_add_mul_norm_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two
theorem tan_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle (x + y) y) * ‖y‖ = ‖x‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).tan_oangle_add_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.tan_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two Orientation.tan_oangle_add_left_mul_norm_of_oangle_eq_pi_div_two
theorem norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.cos (o.oangle x (x + y)) = ‖x + y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.norm_div_cos_angle_add_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.left_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two Orientation.norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two
theorem norm_div_cos_oangle_add_left_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.cos (o.oangle (x + y) y) = ‖x + y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).norm_div_cos_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.norm_div_cos_oangle_add_left_of_oangle_eq_pi_div_two Orientation.norm_div_cos_oangle_add_left_of_oangle_eq_pi_div_two
theorem norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.sin (o.oangle x (x + y)) = ‖x + y‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
InnerProductGeometry.norm_div_sin_angle_add_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inr (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two Orientation.norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two
theorem norm_div_sin_oangle_add_left_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.sin (o.oangle (x + y) y) = ‖x + y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).norm_div_sin_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.norm_div_sin_oangle_add_left_of_oangle_eq_pi_div_two Orientation.norm_div_sin_oangle_add_left_of_oangle_eq_pi_div_two
theorem norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.tan (o.oangle x (x + y)) = ‖x‖ := by
have hs : (o.oangle x (x + y)).sign = 1 := by
rw [oangle_sign_add_right, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
InnerProductGeometry.norm_div_tan_angle_add_of_inner_eq_zero
(o.inner_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inr (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two Orientation.norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two
theorem norm_div_tan_oangle_add_left_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.tan (o.oangle (x + y) y) = ‖y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
rw [add_comm]
exact (-o).norm_div_tan_oangle_add_right_of_oangle_eq_pi_div_two h
#align orientation.norm_div_tan_oangle_add_left_of_oangle_eq_pi_div_two Orientation.norm_div_tan_oangle_add_left_of_oangle_eq_pi_div_two
theorem oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle y (y - x) = Real.arccos (‖y‖ / ‖y - x‖) := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_sub_eq_arccos_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two
theorem oangle_sub_left_eq_arccos_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x - y) x = Real.arccos (‖x‖ / ‖x - y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).oangle_sub_right_eq_arccos_of_oangle_eq_pi_div_two h
#align orientation.oangle_sub_left_eq_arccos_of_oangle_eq_pi_div_two Orientation.oangle_sub_left_eq_arccos_of_oangle_eq_pi_div_two
theorem oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle y (y - x) = Real.arcsin (‖x‖ / ‖y - x‖) := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_sub_eq_arcsin_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two
theorem oangle_sub_left_eq_arcsin_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x - y) x = Real.arcsin (‖y‖ / ‖x - y‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).oangle_sub_right_eq_arcsin_of_oangle_eq_pi_div_two h
#align orientation.oangle_sub_left_eq_arcsin_of_oangle_eq_pi_div_two Orientation.oangle_sub_left_eq_arcsin_of_oangle_eq_pi_div_two
theorem oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle y (y - x) = Real.arctan (‖x‖ / ‖y‖) := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs,
InnerProductGeometry.angle_sub_eq_arctan_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h) (o.right_ne_zero_of_oangle_eq_pi_div_two h)]
#align orientation.oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two
theorem oangle_sub_left_eq_arctan_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
o.oangle (x - y) x = Real.arctan (‖y‖ / ‖x‖) := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).oangle_sub_right_eq_arctan_of_oangle_eq_pi_div_two h
#align orientation.oangle_sub_left_eq_arctan_of_oangle_eq_pi_div_two Orientation.oangle_sub_left_eq_arctan_of_oangle_eq_pi_div_two
theorem cos_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.cos (o.oangle y (y - x)) = ‖y‖ / ‖y - x‖ := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.cos_angle_sub_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.cos_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_right_of_oangle_eq_pi_div_two
theorem cos_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.cos (o.oangle (x - y) x) = ‖x‖ / ‖x - y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).cos_oangle_sub_right_of_oangle_eq_pi_div_two h
#align orientation.cos_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_left_of_oangle_eq_pi_div_two
theorem sin_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.sin (o.oangle y (y - x)) = ‖x‖ / ‖y - x‖ := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
InnerProductGeometry.sin_angle_sub_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.sin_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_right_of_oangle_eq_pi_div_two
theorem sin_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.sin (o.oangle (x - y) x) = ‖y‖ / ‖x - y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).sin_oangle_sub_right_of_oangle_eq_pi_div_two h
#align orientation.sin_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_left_of_oangle_eq_pi_div_two
theorem tan_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.tan (o.oangle y (y - x)) = ‖x‖ / ‖y‖ := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
InnerProductGeometry.tan_angle_sub_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.tan_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.tan_oangle_sub_right_of_oangle_eq_pi_div_two
theorem tan_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = ↑(π / 2)) :
Real.Angle.tan (o.oangle (x - y) x) = ‖y‖ / ‖x‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).tan_oangle_sub_right_of_oangle_eq_pi_div_two h
#align orientation.tan_oangle_sub_left_of_oangle_eq_pi_div_two Orientation.tan_oangle_sub_left_of_oangle_eq_pi_div_two
theorem cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle y (y - x)) * ‖y - x‖ = ‖y‖ := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.cos_angle_sub_mul_norm_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two
theorem cos_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.cos (o.oangle (x - y) x) * ‖x - y‖ = ‖x‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).cos_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.cos_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two Orientation.cos_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two
theorem sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle y (y - x)) * ‖y - x‖ = ‖x‖ := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.sin_coe,
InnerProductGeometry.sin_angle_sub_mul_norm_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)]
#align orientation.sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two
theorem sin_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.sin (o.oangle (x - y) x) * ‖x - y‖ = ‖y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).sin_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.sin_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two Orientation.sin_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two
theorem tan_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle y (y - x)) * ‖y‖ = ‖x‖ := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.tan_coe,
InnerProductGeometry.tan_angle_sub_mul_norm_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.tan_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two Orientation.tan_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two
theorem tan_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : Real.Angle.tan (o.oangle (x - y) x) * ‖x‖ = ‖y‖ := by
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).tan_oangle_sub_right_mul_norm_of_oangle_eq_pi_div_two h
#align orientation.tan_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two Orientation.tan_oangle_sub_left_mul_norm_of_oangle_eq_pi_div_two
theorem norm_div_cos_oangle_sub_right_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖y‖ / Real.Angle.cos (o.oangle y (y - x)) = ‖y - x‖ := by
have hs : (o.oangle y (y - x)).sign = 1 := by
rw [oangle_sign_sub_right_swap, h, Real.Angle.sign_coe_pi_div_two]
rw [o.oangle_eq_angle_of_sign_eq_one hs, Real.Angle.cos_coe,
InnerProductGeometry.norm_div_cos_angle_sub_of_inner_eq_zero
(o.inner_rev_eq_zero_of_oangle_eq_pi_div_two h)
(Or.inl (o.right_ne_zero_of_oangle_eq_pi_div_two h))]
#align orientation.norm_div_cos_oangle_sub_right_of_oangle_eq_pi_div_two Orientation.norm_div_cos_oangle_sub_right_of_oangle_eq_pi_div_two
| Mathlib/Geometry/Euclidean/Angle/Oriented/RightAngle.lean | 448 | 451 | theorem norm_div_cos_oangle_sub_left_of_oangle_eq_pi_div_two {x y : V}
(h : o.oangle x y = ↑(π / 2)) : ‖x‖ / Real.Angle.cos (o.oangle (x - y) x) = ‖x - y‖ := by |
rw [← neg_inj, oangle_rev, ← oangle_neg_orientation_eq_neg, neg_inj] at h ⊢
exact (-o).norm_div_cos_oangle_sub_right_of_oangle_eq_pi_div_two h
|
import Mathlib.LinearAlgebra.CliffordAlgebra.Fold
import Mathlib.LinearAlgebra.ExteriorAlgebra.Basic
#align_import linear_algebra.exterior_algebra.of_alternating from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a"
variable {R M N N' : Type*}
variable [CommRing R] [AddCommGroup M] [AddCommGroup N] [AddCommGroup N']
variable [Module R M] [Module R N] [Module R N']
-- This instance can't be found where it's needed if we don't remind lean that it exists.
instance AlternatingMap.instModuleAddCommGroup {ι : Type*} :
Module R (M [⋀^ι]→ₗ[R] N) := by
infer_instance
#align alternating_map.module_add_comm_group AlternatingMap.instModuleAddCommGroup
namespace ExteriorAlgebra
open CliffordAlgebra hiding ι
def liftAlternating : (∀ i, M [⋀^Fin i]→ₗ[R] N) →ₗ[R] ExteriorAlgebra R M →ₗ[R] N := by
suffices
(∀ i, M [⋀^Fin i]→ₗ[R] N) →ₗ[R]
ExteriorAlgebra R M →ₗ[R] ∀ i, M [⋀^Fin i]→ₗ[R] N by
refine LinearMap.compr₂ this ?_
refine (LinearEquiv.toLinearMap ?_).comp (LinearMap.proj 0)
exact AlternatingMap.constLinearEquivOfIsEmpty.symm
refine CliffordAlgebra.foldl _ ?_ ?_
· refine
LinearMap.mk₂ R (fun m f i => (f i.succ).curryLeft m) (fun m₁ m₂ f => ?_) (fun c m f => ?_)
(fun m f₁ f₂ => ?_) fun c m f => ?_
all_goals
ext i : 1
simp only [map_smul, map_add, Pi.add_apply, Pi.smul_apply, AlternatingMap.curryLeft_add,
AlternatingMap.curryLeft_smul, map_add, map_smul, LinearMap.add_apply, LinearMap.smul_apply]
· -- when applied twice with the same `m`, this recursive step produces 0
intro m x
dsimp only [LinearMap.mk₂_apply, QuadraticForm.coeFn_zero, Pi.zero_apply]
simp_rw [zero_smul]
ext i : 1
exact AlternatingMap.curryLeft_same _ _
#align exterior_algebra.lift_alternating ExteriorAlgebra.liftAlternating
@[simp]
theorem liftAlternating_ι (f : ∀ i, M [⋀^Fin i]→ₗ[R] N) (m : M) :
liftAlternating (R := R) (M := M) (N := N) f (ι R m) = f 1 ![m] := by
dsimp [liftAlternating]
rw [foldl_ι, LinearMap.mk₂_apply, AlternatingMap.curryLeft_apply_apply]
congr
-- Porting note: In Lean 3, `congr` could use the `[Subsingleton (Fin 0 → M)]` instance to finish
-- the proof. Here, the instance can be synthesized but `congr` does not use it so the following
-- line is provided.
rw [Matrix.zero_empty]
#align exterior_algebra.lift_alternating_ι ExteriorAlgebra.liftAlternating_ι
theorem liftAlternating_ι_mul (f : ∀ i, M [⋀^Fin i]→ₗ[R] N) (m : M)
(x : ExteriorAlgebra R M) :
liftAlternating (R := R) (M := M) (N := N) f (ι R m * x) =
liftAlternating (R := R) (M := M) (N := N) (fun i => (f i.succ).curryLeft m) x := by
dsimp [liftAlternating]
rw [foldl_mul, foldl_ι]
rfl
#align exterior_algebra.lift_alternating_ι_mul ExteriorAlgebra.liftAlternating_ι_mul
@[simp]
theorem liftAlternating_one (f : ∀ i, M [⋀^Fin i]→ₗ[R] N) :
liftAlternating (R := R) (M := M) (N := N) f (1 : ExteriorAlgebra R M) = f 0 0 := by
dsimp [liftAlternating]
rw [foldl_one]
#align exterior_algebra.lift_alternating_one ExteriorAlgebra.liftAlternating_one
@[simp]
theorem liftAlternating_algebraMap (f : ∀ i, M [⋀^Fin i]→ₗ[R] N) (r : R) :
liftAlternating (R := R) (M := M) (N := N) f (algebraMap _ (ExteriorAlgebra R M) r) =
r • f 0 0 := by
rw [Algebra.algebraMap_eq_smul_one, map_smul, liftAlternating_one]
#align exterior_algebra.lift_alternating_algebra_map ExteriorAlgebra.liftAlternating_algebraMap
@[simp]
theorem liftAlternating_apply_ιMulti {n : ℕ} (f : ∀ i, M [⋀^Fin i]→ₗ[R] N)
(v : Fin n → M) : liftAlternating (R := R) (M := M) (N := N) f (ιMulti R n v) = f n v := by
rw [ιMulti_apply]
-- Porting note: `v` is generalized automatically so it was removed from the next line
induction' n with n ih generalizing f
· -- Porting note: Lean does not automatically synthesize the instance
-- `[Subsingleton (Fin 0 → M)]` which is needed for `Subsingleton.elim 0 v` on line 114.
letI : Subsingleton (Fin 0 → M) := by infer_instance
rw [List.ofFn_zero, List.prod_nil, liftAlternating_one, Subsingleton.elim 0 v]
· rw [List.ofFn_succ, List.prod_cons, liftAlternating_ι_mul, ih,
AlternatingMap.curryLeft_apply_apply]
congr
exact Matrix.cons_head_tail _
#align exterior_algebra.lift_alternating_apply_ι_multi ExteriorAlgebra.liftAlternating_apply_ιMulti
@[simp]
theorem liftAlternating_comp_ιMulti {n : ℕ} (f : ∀ i, M [⋀^Fin i]→ₗ[R] N) :
(liftAlternating (R := R) (M := M) (N := N) f).compAlternatingMap (ιMulti R n) = f n :=
AlternatingMap.ext <| liftAlternating_apply_ιMulti f
#align exterior_algebra.lift_alternating_comp_ι_multi ExteriorAlgebra.liftAlternating_comp_ιMulti
@[simp]
theorem liftAlternating_comp (g : N →ₗ[R] N') (f : ∀ i, M [⋀^Fin i]→ₗ[R] N) :
(liftAlternating (R := R) (M := M) (N := N') fun i => g.compAlternatingMap (f i)) =
g ∘ₗ liftAlternating (R := R) (M := M) (N := N) f := by
ext v
rw [LinearMap.comp_apply]
induction' v using CliffordAlgebra.left_induction with r x y hx hy x m hx generalizing f
· rw [liftAlternating_algebraMap, liftAlternating_algebraMap, map_smul,
LinearMap.compAlternatingMap_apply]
· rw [map_add, map_add, map_add, hx, hy]
· rw [liftAlternating_ι_mul, liftAlternating_ι_mul, ← hx]
simp_rw [AlternatingMap.curryLeft_compAlternatingMap]
#align exterior_algebra.lift_alternating_comp ExteriorAlgebra.liftAlternating_comp
@[simp]
| Mathlib/LinearAlgebra/ExteriorAlgebra/OfAlternating.lean | 139 | 148 | theorem liftAlternating_ιMulti :
liftAlternating (R := R) (M := M) (N := ExteriorAlgebra R M) (ιMulti R) =
(LinearMap.id : ExteriorAlgebra R M →ₗ[R] ExteriorAlgebra R M) := by |
ext v
dsimp
induction' v using CliffordAlgebra.left_induction with r x y hx hy x m hx
· rw [liftAlternating_algebraMap, ιMulti_zero_apply, Algebra.algebraMap_eq_smul_one]
· rw [map_add, hx, hy]
· simp_rw [liftAlternating_ι_mul, ιMulti_succ_curryLeft, liftAlternating_comp,
LinearMap.comp_apply, LinearMap.mulLeft_apply, hx]
|
import Mathlib.Data.Matrix.Basic
variable {l m n o : Type*}
universe u v w
variable {R : Type*} {α : Type v} {β : Type w}
namespace Matrix
def col (w : m → α) : Matrix m Unit α :=
of fun x _ => w x
#align matrix.col Matrix.col
-- TODO: set as an equation lemma for `col`, see mathlib4#3024
@[simp]
theorem col_apply (w : m → α) (i j) : col w i j = w i :=
rfl
#align matrix.col_apply Matrix.col_apply
def row (v : n → α) : Matrix Unit n α :=
of fun _ y => v y
#align matrix.row Matrix.row
-- TODO: set as an equation lemma for `row`, see mathlib4#3024
@[simp]
theorem row_apply (v : n → α) (i j) : row v i j = v j :=
rfl
#align matrix.row_apply Matrix.row_apply
theorem col_injective : Function.Injective (col : (m → α) → _) :=
fun _x _y h => funext fun i => congr_fun₂ h i ()
@[simp] theorem col_inj {v w : m → α} : col v = col w ↔ v = w := col_injective.eq_iff
@[simp] theorem col_zero [Zero α] : col (0 : m → α) = 0 := rfl
@[simp] theorem col_eq_zero [Zero α] (v : m → α) : col v = 0 ↔ v = 0 := col_inj
@[simp]
theorem col_add [Add α] (v w : m → α) : col (v + w) = col v + col w := by
ext
rfl
#align matrix.col_add Matrix.col_add
@[simp]
theorem col_smul [SMul R α] (x : R) (v : m → α) : col (x • v) = x • col v := by
ext
rfl
#align matrix.col_smul Matrix.col_smul
theorem row_injective : Function.Injective (row : (n → α) → _) :=
fun _x _y h => funext fun j => congr_fun₂ h () j
@[simp] theorem row_inj {v w : n → α} : row v = row w ↔ v = w := row_injective.eq_iff
@[simp] theorem row_zero [Zero α] : row (0 : n → α) = 0 := rfl
@[simp] theorem row_eq_zero [Zero α] (v : n → α) : row v = 0 ↔ v = 0 := row_inj
@[simp]
theorem row_add [Add α] (v w : m → α) : row (v + w) = row v + row w := by
ext
rfl
#align matrix.row_add Matrix.row_add
@[simp]
theorem row_smul [SMul R α] (x : R) (v : m → α) : row (x • v) = x • row v := by
ext
rfl
#align matrix.row_smul Matrix.row_smul
@[simp]
theorem transpose_col (v : m → α) : (Matrix.col v)ᵀ = Matrix.row v := by
ext
rfl
#align matrix.transpose_col Matrix.transpose_col
@[simp]
theorem transpose_row (v : m → α) : (Matrix.row v)ᵀ = Matrix.col v := by
ext
rfl
#align matrix.transpose_row Matrix.transpose_row
@[simp]
theorem conjTranspose_col [Star α] (v : m → α) : (col v)ᴴ = row (star v) := by
ext
rfl
#align matrix.conj_transpose_col Matrix.conjTranspose_col
@[simp]
theorem conjTranspose_row [Star α] (v : m → α) : (row v)ᴴ = col (star v) := by
ext
rfl
#align matrix.conj_transpose_row Matrix.conjTranspose_row
theorem row_vecMul [Fintype m] [NonUnitalNonAssocSemiring α] (M : Matrix m n α) (v : m → α) :
Matrix.row (v ᵥ* M) = Matrix.row v * M := by
ext
rfl
#align matrix.row_vec_mul Matrix.row_vecMul
theorem col_vecMul [Fintype m] [NonUnitalNonAssocSemiring α] (M : Matrix m n α) (v : m → α) :
Matrix.col (v ᵥ* M) = (Matrix.row v * M)ᵀ := by
ext
rfl
#align matrix.col_vec_mul Matrix.col_vecMul
theorem col_mulVec [Fintype n] [NonUnitalNonAssocSemiring α] (M : Matrix m n α) (v : n → α) :
Matrix.col (M *ᵥ v) = M * Matrix.col v := by
ext
rfl
#align matrix.col_mul_vec Matrix.col_mulVec
theorem row_mulVec [Fintype n] [NonUnitalNonAssocSemiring α] (M : Matrix m n α) (v : n → α) :
Matrix.row (M *ᵥ v) = (M * Matrix.col v)ᵀ := by
ext
rfl
#align matrix.row_mul_vec Matrix.row_mulVec
@[simp]
theorem row_mul_col_apply [Fintype m] [Mul α] [AddCommMonoid α] (v w : m → α) (i j) :
(row v * col w) i j = v ⬝ᵥ w :=
rfl
#align matrix.row_mul_col_apply Matrix.row_mul_col_apply
@[simp]
theorem diag_col_mul_row [Mul α] [AddCommMonoid α] (a b : n → α) :
diag (col a * row b) = a * b := by
ext
simp [Matrix.mul_apply, col, row]
#align matrix.diag_col_mul_row Matrix.diag_col_mul_row
theorem vecMulVec_eq [Mul α] [AddCommMonoid α] (w : m → α) (v : n → α) :
vecMulVec w v = col w * row v := by
ext
simp only [vecMulVec, mul_apply, Fintype.univ_punit, Finset.sum_singleton]
rfl
#align matrix.vec_mul_vec_eq Matrix.vecMulVec_eq
def updateRow [DecidableEq m] (M : Matrix m n α) (i : m) (b : n → α) : Matrix m n α :=
of <| Function.update M i b
#align matrix.update_row Matrix.updateRow
def updateColumn [DecidableEq n] (M : Matrix m n α) (j : n) (b : m → α) : Matrix m n α :=
of fun i => Function.update (M i) j (b i)
#align matrix.update_column Matrix.updateColumn
variable {M : Matrix m n α} {i : m} {j : n} {b : n → α} {c : m → α}
@[simp]
theorem updateRow_self [DecidableEq m] : updateRow M i b i = b :=
-- Porting note: (implicit arg) added `(β := _)`
Function.update_same (β := fun _ => (n → α)) i b M
#align matrix.update_row_self Matrix.updateRow_self
@[simp]
theorem updateColumn_self [DecidableEq n] : updateColumn M j c i j = c i :=
-- Porting note: (implicit arg) added `(β := _)`
Function.update_same (β := fun _ => α) j (c i) (M i)
#align matrix.update_column_self Matrix.updateColumn_self
@[simp]
theorem updateRow_ne [DecidableEq m] {i' : m} (i_ne : i' ≠ i) : updateRow M i b i' = M i' :=
-- Porting note: (implicit arg) added `(β := _)`
Function.update_noteq (β := fun _ => (n → α)) i_ne b M
#align matrix.update_row_ne Matrix.updateRow_ne
@[simp]
theorem updateColumn_ne [DecidableEq n] {j' : n} (j_ne : j' ≠ j) :
updateColumn M j c i j' = M i j' :=
-- Porting note: (implicit arg) added `(β := _)`
Function.update_noteq (β := fun _ => α) j_ne (c i) (M i)
#align matrix.update_column_ne Matrix.updateColumn_ne
theorem updateRow_apply [DecidableEq m] {i' : m} :
updateRow M i b i' j = if i' = i then b j else M i' j := by
by_cases h : i' = i
· rw [h, updateRow_self, if_pos rfl]
· rw [updateRow_ne h, if_neg h]
#align matrix.update_row_apply Matrix.updateRow_apply
theorem updateColumn_apply [DecidableEq n] {j' : n} :
updateColumn M j c i j' = if j' = j then c i else M i j' := by
by_cases h : j' = j
· rw [h, updateColumn_self, if_pos rfl]
· rw [updateColumn_ne h, if_neg h]
#align matrix.update_column_apply Matrix.updateColumn_apply
@[simp]
theorem updateColumn_subsingleton [Subsingleton n] (A : Matrix m n R) (i : n) (b : m → R) :
A.updateColumn i b = (col b).submatrix id (Function.const n ()) := by
ext x y
simp [updateColumn_apply, Subsingleton.elim i y]
#align matrix.update_column_subsingleton Matrix.updateColumn_subsingleton
@[simp]
theorem updateRow_subsingleton [Subsingleton m] (A : Matrix m n R) (i : m) (b : n → R) :
A.updateRow i b = (row b).submatrix (Function.const m ()) id := by
ext x y
simp [updateColumn_apply, Subsingleton.elim i x]
#align matrix.update_row_subsingleton Matrix.updateRow_subsingleton
theorem map_updateRow [DecidableEq m] (f : α → β) :
map (updateRow M i b) f = updateRow (M.map f) i (f ∘ b) := by
ext
rw [updateRow_apply, map_apply, map_apply, updateRow_apply]
exact apply_ite f _ _ _
#align matrix.map_update_row Matrix.map_updateRow
| Mathlib/Data/Matrix/RowCol.lean | 235 | 239 | theorem map_updateColumn [DecidableEq n] (f : α → β) :
map (updateColumn M j c) f = updateColumn (M.map f) j (f ∘ c) := by |
ext
rw [updateColumn_apply, map_apply, map_apply, updateColumn_apply]
exact apply_ite f _ _ _
|
import Mathlib.Algebra.Polynomial.Reverse
import Mathlib.Algebra.Regular.SMul
#align_import data.polynomial.monic from "leanprover-community/mathlib"@"cbdf7b565832144d024caa5a550117c6df0204a5"
noncomputable section
open Finset
open Polynomial
namespace Polynomial
universe u v y
variable {R : Type u} {S : Type v} {a b : R} {m n : ℕ} {ι : Type y}
section Semiring
variable [Semiring R] {p q r : R[X]}
theorem monic_zero_iff_subsingleton : Monic (0 : R[X]) ↔ Subsingleton R :=
subsingleton_iff_zero_eq_one
#align polynomial.monic_zero_iff_subsingleton Polynomial.monic_zero_iff_subsingleton
theorem not_monic_zero_iff : ¬Monic (0 : R[X]) ↔ (0 : R) ≠ 1 :=
(monic_zero_iff_subsingleton.trans subsingleton_iff_zero_eq_one.symm).not
#align polynomial.not_monic_zero_iff Polynomial.not_monic_zero_iff
theorem monic_zero_iff_subsingleton' :
Monic (0 : R[X]) ↔ (∀ f g : R[X], f = g) ∧ ∀ a b : R, a = b :=
Polynomial.monic_zero_iff_subsingleton.trans
⟨by
intro
simp [eq_iff_true_of_subsingleton], fun h => subsingleton_iff.mpr h.2⟩
#align polynomial.monic_zero_iff_subsingleton' Polynomial.monic_zero_iff_subsingleton'
| Mathlib/Algebra/Polynomial/Monic.lean | 51 | 55 | theorem Monic.as_sum (hp : p.Monic) :
p = X ^ p.natDegree + ∑ i ∈ range p.natDegree, C (p.coeff i) * X ^ i := by |
conv_lhs => rw [p.as_sum_range_C_mul_X_pow, sum_range_succ_comm]
suffices C (p.coeff p.natDegree) = 1 by rw [this, one_mul]
exact congr_arg C hp
|
import Mathlib.Probability.IdentDistrib
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.Analysis.SpecificLimits.FloorPow
import Mathlib.Analysis.PSeries
import Mathlib.Analysis.Asymptotics.SpecificAsymptotics
#align_import probability.strong_law from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open MeasureTheory Filter Finset Asymptotics
open Set (indicator)
open scoped Topology MeasureTheory ProbabilityTheory ENNReal NNReal
namespace ProbabilityTheory
section Truncation
variable {α : Type*}
def truncation (f : α → ℝ) (A : ℝ) :=
indicator (Set.Ioc (-A) A) id ∘ f
#align probability_theory.truncation ProbabilityTheory.truncation
variable {m : MeasurableSpace α} {μ : Measure α} {f : α → ℝ}
theorem _root_.MeasureTheory.AEStronglyMeasurable.truncation (hf : AEStronglyMeasurable f μ)
{A : ℝ} : AEStronglyMeasurable (truncation f A) μ := by
apply AEStronglyMeasurable.comp_aemeasurable _ hf.aemeasurable
exact (stronglyMeasurable_id.indicator measurableSet_Ioc).aestronglyMeasurable
#align measure_theory.ae_strongly_measurable.truncation MeasureTheory.AEStronglyMeasurable.truncation
theorem abs_truncation_le_bound (f : α → ℝ) (A : ℝ) (x : α) : |truncation f A x| ≤ |A| := by
simp only [truncation, Set.indicator, Set.mem_Icc, id, Function.comp_apply]
split_ifs with h
· exact abs_le_abs h.2 (neg_le.2 h.1.le)
· simp [abs_nonneg]
#align probability_theory.abs_truncation_le_bound ProbabilityTheory.abs_truncation_le_bound
@[simp]
theorem truncation_zero (f : α → ℝ) : truncation f 0 = 0 := by simp [truncation]; rfl
#align probability_theory.truncation_zero ProbabilityTheory.truncation_zero
| Mathlib/Probability/StrongLaw.lean | 99 | 103 | theorem abs_truncation_le_abs_self (f : α → ℝ) (A : ℝ) (x : α) : |truncation f A x| ≤ |f x| := by |
simp only [truncation, indicator, Set.mem_Icc, id, Function.comp_apply]
split_ifs
· exact le_rfl
· simp [abs_nonneg]
|
import Mathlib.CategoryTheory.Limits.Shapes.Pullbacks
import Mathlib.CategoryTheory.Limits.Shapes.ZeroMorphisms
import Mathlib.CategoryTheory.Limits.Constructions.BinaryProducts
#align_import category_theory.limits.constructions.zero_objects from "leanprover-community/mathlib"@"52a270e2ea4e342c2587c106f8be904524214a4b"
noncomputable section
open CategoryTheory
variable {C : Type*} [Category C]
namespace CategoryTheory.Limits
variable [HasZeroObject C] [HasZeroMorphisms C]
open ZeroObject
def binaryFanZeroLeft (X : C) : BinaryFan (0 : C) X :=
BinaryFan.mk 0 (𝟙 X)
#align category_theory.limits.binary_fan_zero_left CategoryTheory.Limits.binaryFanZeroLeft
def binaryFanZeroLeftIsLimit (X : C) : IsLimit (binaryFanZeroLeft X) :=
BinaryFan.isLimitMk (fun s => BinaryFan.snd s) (by aesop_cat) (by aesop_cat)
(fun s m _ h₂ => by simpa using h₂)
#align category_theory.limits.binary_fan_zero_left_is_limit CategoryTheory.Limits.binaryFanZeroLeftIsLimit
instance hasBinaryProduct_zero_left (X : C) : HasBinaryProduct (0 : C) X :=
HasLimit.mk ⟨_, binaryFanZeroLeftIsLimit X⟩
#align category_theory.limits.has_binary_product_zero_left CategoryTheory.Limits.hasBinaryProduct_zero_left
def zeroProdIso (X : C) : (0 : C) ⨯ X ≅ X :=
limit.isoLimitCone ⟨_, binaryFanZeroLeftIsLimit X⟩
#align category_theory.limits.zero_prod_iso CategoryTheory.Limits.zeroProdIso
@[simp]
theorem zeroProdIso_hom (X : C) : (zeroProdIso X).hom = prod.snd :=
rfl
#align category_theory.limits.zero_prod_iso_hom CategoryTheory.Limits.zeroProdIso_hom
@[simp]
theorem zeroProdIso_inv_snd (X : C) : (zeroProdIso X).inv ≫ prod.snd = 𝟙 X := by
dsimp [zeroProdIso, binaryFanZeroLeft]
simp
#align category_theory.limits.zero_prod_iso_inv_snd CategoryTheory.Limits.zeroProdIso_inv_snd
def binaryFanZeroRight (X : C) : BinaryFan X (0 : C) :=
BinaryFan.mk (𝟙 X) 0
#align category_theory.limits.binary_fan_zero_right CategoryTheory.Limits.binaryFanZeroRight
def binaryFanZeroRightIsLimit (X : C) : IsLimit (binaryFanZeroRight X) :=
BinaryFan.isLimitMk (fun s => BinaryFan.fst s) (by aesop_cat) (by aesop_cat)
(fun s m h₁ _ => by simpa using h₁)
#align category_theory.limits.binary_fan_zero_right_is_limit CategoryTheory.Limits.binaryFanZeroRightIsLimit
instance hasBinaryProduct_zero_right (X : C) : HasBinaryProduct X (0 : C) :=
HasLimit.mk ⟨_, binaryFanZeroRightIsLimit X⟩
#align category_theory.limits.has_binary_product_zero_right CategoryTheory.Limits.hasBinaryProduct_zero_right
def prodZeroIso (X : C) : X ⨯ (0 : C) ≅ X :=
limit.isoLimitCone ⟨_, binaryFanZeroRightIsLimit X⟩
#align category_theory.limits.prod_zero_iso CategoryTheory.Limits.prodZeroIso
@[simp]
theorem prodZeroIso_hom (X : C) : (prodZeroIso X).hom = prod.fst :=
rfl
#align category_theory.limits.prod_zero_iso_hom CategoryTheory.Limits.prodZeroIso_hom
@[simp]
theorem prodZeroIso_iso_inv_snd (X : C) : (prodZeroIso X).inv ≫ prod.fst = 𝟙 X := by
dsimp [prodZeroIso, binaryFanZeroRight]
simp
#align category_theory.limits.prod_zero_iso_iso_inv_snd CategoryTheory.Limits.prodZeroIso_iso_inv_snd
def binaryCofanZeroLeft (X : C) : BinaryCofan (0 : C) X :=
BinaryCofan.mk 0 (𝟙 X)
#align category_theory.limits.binary_cofan_zero_left CategoryTheory.Limits.binaryCofanZeroLeft
def binaryCofanZeroLeftIsColimit (X : C) : IsColimit (binaryCofanZeroLeft X) :=
BinaryCofan.isColimitMk (fun s => BinaryCofan.inr s) (by aesop_cat) (by aesop_cat)
(fun s m _ h₂ => by simpa using h₂)
#align category_theory.limits.binary_cofan_zero_left_is_colimit CategoryTheory.Limits.binaryCofanZeroLeftIsColimit
instance hasBinaryCoproduct_zero_left (X : C) : HasBinaryCoproduct (0 : C) X :=
HasColimit.mk ⟨_, binaryCofanZeroLeftIsColimit X⟩
#align category_theory.limits.has_binary_coproduct_zero_left CategoryTheory.Limits.hasBinaryCoproduct_zero_left
def zeroCoprodIso (X : C) : (0 : C) ⨿ X ≅ X :=
colimit.isoColimitCocone ⟨_, binaryCofanZeroLeftIsColimit X⟩
#align category_theory.limits.zero_coprod_iso CategoryTheory.Limits.zeroCoprodIso
@[simp]
| Mathlib/CategoryTheory/Limits/Constructions/ZeroObjects.lean | 115 | 117 | theorem inr_zeroCoprodIso_hom (X : C) : coprod.inr ≫ (zeroCoprodIso X).hom = 𝟙 X := by |
dsimp [zeroCoprodIso, binaryCofanZeroLeft]
simp
|
import Mathlib.Order.Filter.Lift
import Mathlib.Topology.Defs.Filter
#align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40"
noncomputable section
open Set Filter
universe u v w x
def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T)
(union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where
IsOpen X := Xᶜ ∈ T
isOpen_univ := by simp [empty_mem]
isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht
isOpen_sUnion s hs := by
simp only [Set.compl_sUnion]
exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy
#align topological_space.of_closed TopologicalSpace.ofClosed
section TopologicalSpace
variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*}
{x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop}
open Topology
lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl
#align is_open_mk isOpen_mk
@[ext]
protected theorem TopologicalSpace.ext :
∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align topological_space_eq TopologicalSpace.ext
section
variable [TopologicalSpace X]
end
protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} :
t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s :=
⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
#align topological_space_eq_iff TopologicalSpace.ext_iff
theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s :=
rfl
#align is_open_fold isOpen_fold
variable [TopologicalSpace X]
theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) :=
isOpen_sUnion (forall_mem_range.2 h)
#align is_open_Union isOpen_iUnion
theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋃ i ∈ s, f i) :=
isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi
#align is_open_bUnion isOpen_biUnion
theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by
rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩)
#align is_open.union IsOpen.union
lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) :
IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by
refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩
rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter]
exact isOpen_iUnion fun i ↦ h i
@[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by
rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim
#align is_open_empty isOpen_empty
theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) :
(∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) :=
Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by
simp only [sInter_insert, forall_mem_insert] at h ⊢
exact h.1.inter (ih h.2)
#align is_open_sInter Set.Finite.isOpen_sInter
theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h)
#align is_open_bInter Set.Finite.isOpen_biInter
theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) :
IsOpen (⋂ i, s i) :=
(finite_range _).isOpen_sInter (forall_mem_range.2 h)
#align is_open_Inter isOpen_iInter_of_finite
theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
s.finite_toSet.isOpen_biInter h
#align is_open_bInter_finset isOpen_biInter_finset
@[simp] -- Porting note: added `simp`
theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*]
#align is_open_const isOpen_const
theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } :=
IsOpen.inter
#align is_open.and IsOpen.and
@[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s :=
⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩
#align is_open_compl_iff isOpen_compl_iff
theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} :
t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by
rw [TopologicalSpace.ext_iff, compl_surjective.forall]
simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂]
alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed
-- Porting note (#10756): new lemma
theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩
@[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const
#align is_closed_empty isClosed_empty
@[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const
#align is_closed_univ isClosed_univ
theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by
simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter
#align is_closed.union IsClosed.union
theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by
simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion
#align is_closed_sInter isClosed_sInter
theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) :=
isClosed_sInter <| forall_mem_range.2 h
#align is_closed_Inter isClosed_iInter
theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋂ i ∈ s, f i) :=
isClosed_iInter fun i => isClosed_iInter <| h i
#align is_closed_bInter isClosed_biInter
@[simp]
theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by
rw [← isOpen_compl_iff, compl_compl]
#align is_closed_compl_iff isClosed_compl_iff
alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff
#align is_open.is_closed_compl IsOpen.isClosed_compl
theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) :=
IsOpen.inter h₁ h₂.isOpen_compl
#align is_open.sdiff IsOpen.sdiff
theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by
rw [← isOpen_compl_iff] at *
rw [compl_inter]
exact IsOpen.union h₁ h₂
#align is_closed.inter IsClosed.inter
theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) :=
IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂)
#align is_closed.sdiff IsClosed.sdiff
theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact hs.isOpen_biInter h
#align is_closed_bUnion Set.Finite.isClosed_biUnion
lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) :=
s.finite_toSet.isClosed_biUnion h
theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) :
IsClosed (⋃ i, s i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact isOpen_iInter_of_finite h
#align is_closed_Union isClosed_iUnion_of_finite
theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) :
IsClosed { x | p x → q x } := by
simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq
#align is_closed_imp isClosed_imp
theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } :=
isOpen_compl_iff.mpr
#align is_closed.not IsClosed.not
theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by
simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm]
#align mem_interior mem_interiorₓ
@[simp]
theorem isOpen_interior : IsOpen (interior s) :=
isOpen_sUnion fun _ => And.left
#align is_open_interior isOpen_interior
theorem interior_subset : interior s ⊆ s :=
sUnion_subset fun _ => And.right
#align interior_subset interior_subset
theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s :=
subset_sUnion_of_mem ⟨h₂, h₁⟩
#align interior_maximal interior_maximal
theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s :=
interior_subset.antisymm (interior_maximal (Subset.refl s) h)
#align is_open.interior_eq IsOpen.interior_eq
theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s :=
⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩
#align interior_eq_iff_is_open interior_eq_iff_isOpen
theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by
simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and]
#align subset_interior_iff_is_open subset_interior_iff_isOpen
theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t :=
⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩
#align is_open.subset_interior_iff IsOpen.subset_interior_iff
theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s :=
⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ =>
htU.trans (interior_maximal hUs hU)⟩
#align subset_interior_iff subset_interior_iff
lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by
simp [interior]
@[mono, gcongr]
theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t :=
interior_maximal (Subset.trans interior_subset h) isOpen_interior
#align interior_mono interior_mono
@[simp]
theorem interior_empty : interior (∅ : Set X) = ∅ :=
isOpen_empty.interior_eq
#align interior_empty interior_empty
@[simp]
theorem interior_univ : interior (univ : Set X) = univ :=
isOpen_univ.interior_eq
#align interior_univ interior_univ
@[simp]
theorem interior_eq_univ : interior s = univ ↔ s = univ :=
⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩
#align interior_eq_univ interior_eq_univ
@[simp]
theorem interior_interior : interior (interior s) = interior s :=
isOpen_interior.interior_eq
#align interior_interior interior_interior
@[simp]
theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t :=
(Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <|
interior_maximal (inter_subset_inter interior_subset interior_subset) <|
isOpen_interior.inter isOpen_interior
#align interior_inter interior_inter
theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
hs.induction_on (by simp) <| by intros; simp [*]
theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) :
interior (⋂₀ S) = ⋂ s ∈ S, interior s := by
rw [sInter_eq_biInter, hS.interior_biInter]
@[simp]
theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
s.finite_toSet.interior_biInter f
#align finset.interior_Inter Finset.interior_iInter
@[simp]
theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) :
interior (⋂ i, f i) = ⋂ i, interior (f i) := by
rw [← sInter_range, (finite_range f).interior_sInter, biInter_range]
#align interior_Inter interior_iInter_of_finite
theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s)
(h₂ : interior t = ∅) : interior (s ∪ t) = interior s :=
have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ =>
by_contradiction fun hx₂ : x ∉ s =>
have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂
have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff]
have : u \ s ⊆ ∅ := by rwa [h₂] at this
this ⟨hx₁, hx₂⟩
Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left)
#align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty
theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by
rw [← subset_interior_iff_isOpen]
simp only [subset_def, mem_interior]
#align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open
theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) :=
subset_iInter fun _ => interior_mono <| iInter_subset _ _
#align interior_Inter_subset interior_iInter_subset
theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) :
interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) :=
(interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _
#align interior_Inter₂_subset interior_iInter₂_subset
theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s :=
calc
interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter]
_ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _
#align interior_sInter_subset interior_sInter_subset
theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) :=
h.lift' fun _ _ ↦ interior_mono
theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦
mem_of_superset (mem_lift' hs) interior_subset
theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l :=
le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by
simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi
@[simp]
theorem isClosed_closure : IsClosed (closure s) :=
isClosed_sInter fun _ => And.left
#align is_closed_closure isClosed_closure
theorem subset_closure : s ⊆ closure s :=
subset_sInter fun _ => And.right
#align subset_closure subset_closure
theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h =>
hP (subset_closure h)
#align not_mem_of_not_mem_closure not_mem_of_not_mem_closure
theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t :=
sInter_subset_of_mem ⟨h₂, h₁⟩
#align closure_minimal closure_minimal
theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) :
Disjoint (closure s) t :=
disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl
#align disjoint.closure_left Disjoint.closure_left
theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) :
Disjoint s (closure t) :=
(hd.symm.closure_left hs).symm
#align disjoint.closure_right Disjoint.closure_right
theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s :=
Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure
#align is_closed.closure_eq IsClosed.closure_eq
theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s :=
closure_minimal (Subset.refl _) hs
#align is_closed.closure_subset IsClosed.closure_subset
theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t :=
⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩
#align is_closed.closure_subset_iff IsClosed.closure_subset_iff
theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) :
x ∈ s ↔ closure ({x} : Set X) ⊆ s :=
(hs.closure_subset_iff.trans Set.singleton_subset_iff).symm
#align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset
@[mono, gcongr]
theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t :=
closure_minimal (Subset.trans h subset_closure) isClosed_closure
#align closure_mono closure_mono
theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ =>
closure_mono
#align monotone_closure monotone_closure
theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by
rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure]
#align diff_subset_closure_iff diff_subset_closure_iff
theorem closure_inter_subset_inter_closure (s t : Set X) :
closure (s ∩ t) ⊆ closure s ∩ closure t :=
(monotone_closure X).map_inf_le s t
#align closure_inter_subset_inter_closure closure_inter_subset_inter_closure
theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by
rw [subset_closure.antisymm h]; exact isClosed_closure
#align is_closed_of_closure_subset isClosed_of_closure_subset
theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s :=
⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩
#align closure_eq_iff_is_closed closure_eq_iff_isClosed
theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s :=
⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩
#align closure_subset_iff_is_closed closure_subset_iff_isClosed
@[simp]
theorem closure_empty : closure (∅ : Set X) = ∅ :=
isClosed_empty.closure_eq
#align closure_empty closure_empty
@[simp]
theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ :=
⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩
#align closure_empty_iff closure_empty_iff
@[simp]
theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by
simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff]
#align closure_nonempty_iff closure_nonempty_iff
alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff
#align set.nonempty.of_closure Set.Nonempty.of_closure
#align set.nonempty.closure Set.Nonempty.closure
@[simp]
theorem closure_univ : closure (univ : Set X) = univ :=
isClosed_univ.closure_eq
#align closure_univ closure_univ
@[simp]
theorem closure_closure : closure (closure s) = closure s :=
isClosed_closure.closure_eq
#align closure_closure closure_closure
theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by
rw [interior, closure, compl_sUnion, compl_image_set_of]
simp only [compl_subset_compl, isOpen_compl_iff]
#align closure_eq_compl_interior_compl closure_eq_compl_interior_compl
@[simp]
theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by
simp [closure_eq_compl_interior_compl, compl_inter]
#align closure_union closure_union
theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by
simp [closure_eq_compl_interior_compl, hs.interior_biInter]
theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) :
closure (⋃₀ S) = ⋃ s ∈ S, closure s := by
rw [sUnion_eq_biUnion, hS.closure_biUnion]
@[simp]
theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) :=
s.finite_toSet.closure_biUnion f
#align finset.closure_bUnion Finset.closure_biUnion
@[simp]
theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) :
closure (⋃ i, f i) = ⋃ i, closure (f i) := by
rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range]
#align closure_Union closure_iUnion_of_finite
theorem interior_subset_closure : interior s ⊆ closure s :=
Subset.trans interior_subset subset_closure
#align interior_subset_closure interior_subset_closure
@[simp]
theorem interior_compl : interior sᶜ = (closure s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align interior_compl interior_compl
@[simp]
theorem closure_compl : closure sᶜ = (interior s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align closure_compl closure_compl
theorem mem_closure_iff :
x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty :=
⟨fun h o oo ao =>
by_contradiction fun os =>
have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩
closure_minimal this (isClosed_compl_iff.2 oo) h ao,
fun H _ ⟨h₁, h₂⟩ =>
by_contradiction fun nc =>
let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc
hc (h₂ hs)⟩
#align mem_closure_iff mem_closure_iff
theorem closure_inter_open_nonempty_iff (h : IsOpen t) :
(closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty :=
⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h =>
h.mono <| inf_le_inf_right t subset_closure⟩
#align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff
theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure :=
le_lift'.2 fun _ h => mem_of_superset h subset_closure
#align filter.le_lift'_closure Filter.le_lift'_closure
theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) :=
h.lift' (monotone_closure X)
#align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure
theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l :=
le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi))
l.le_lift'_closure
#align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self
@[simp]
theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ :=
⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h =>
h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩
#align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot
theorem dense_iff_closure_eq : Dense s ↔ closure s = univ :=
eq_univ_iff_forall.symm
#align dense_iff_closure_eq dense_iff_closure_eq
alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq
#align dense.closure_eq Dense.closure_eq
theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by
rw [dense_iff_closure_eq, closure_compl, compl_univ_iff]
#align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl
theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ :=
interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl]
#align dense.interior_compl Dense.interior_compl
@[simp]
theorem dense_closure : Dense (closure s) ↔ Dense s := by
rw [Dense, Dense, closure_closure]
#align dense_closure dense_closure
protected alias ⟨_, Dense.closure⟩ := dense_closure
alias ⟨Dense.of_closure, _⟩ := dense_closure
#align dense.of_closure Dense.of_closure
#align dense.closure Dense.closure
@[simp]
theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial
#align dense_univ dense_univ
theorem dense_iff_inter_open :
Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by
constructor <;> intro h
· rintro U U_op ⟨x, x_in⟩
exact mem_closure_iff.1 (h _) U U_op x_in
· intro x
rw [mem_closure_iff]
intro U U_op x_in
exact h U U_op ⟨_, x_in⟩
#align dense_iff_inter_open dense_iff_inter_open
alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open
#align dense.inter_open_nonempty Dense.inter_open_nonempty
theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U)
(hne : U.Nonempty) : ∃ x ∈ s, x ∈ U :=
let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne
⟨x, hx.2, hx.1⟩
#align dense.exists_mem_open Dense.exists_mem_open
theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X :=
⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ =>
let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩
⟨y, hy.2⟩⟩
#align dense.nonempty_iff Dense.nonempty_iff
theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty :=
hs.nonempty_iff.2 h
#align dense.nonempty Dense.nonempty
@[mono]
theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x =>
closure_mono h (hd x)
#align dense.mono Dense.mono
theorem dense_compl_singleton_iff_not_open :
Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by
constructor
· intro hd ho
exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _)
· refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_
obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩
exact ho hU
#align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open
@[simp]
theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s :=
rfl
#align closure_diff_interior closure_diff_interior
lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by
rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq,
← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter]
@[simp]
theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by
rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure]
#align closure_diff_frontier closure_diff_frontier
@[simp]
theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by
rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure,
inter_eq_self_of_subset_right interior_subset, empty_union]
#align self_diff_frontier self_diff_frontier
theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by
rw [closure_compl, frontier, diff_eq]
#align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure
theorem frontier_subset_closure : frontier s ⊆ closure s :=
diff_subset
#align frontier_subset_closure frontier_subset_closure
theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s :=
frontier_subset_closure.trans hs.closure_eq.subset
#align is_closed.frontier_subset IsClosed.frontier_subset
theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s :=
diff_subset_diff closure_closure.subset <| interior_mono subset_closure
#align frontier_closure_subset frontier_closure_subset
theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s :=
diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset
#align frontier_interior_subset frontier_interior_subset
@[simp]
theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by
simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm]
#align frontier_compl frontier_compl
@[simp]
theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier]
#align frontier_univ frontier_univ
@[simp]
theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier]
#align frontier_empty frontier_empty
theorem frontier_inter_subset (s t : Set X) :
frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by
simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union]
refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_
simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc,
inter_comm (closure t)]
#align frontier_inter_subset frontier_inter_subset
theorem frontier_union_subset (s t : Set X) :
frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by
simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ
#align frontier_union_subset frontier_union_subset
theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by
rw [frontier, hs.closure_eq]
#align is_closed.frontier_eq IsClosed.frontier_eq
theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by
rw [frontier, hs.interior_eq]
#align is_open.frontier_eq IsOpen.frontier_eq
theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by
rw [hs.frontier_eq, inter_diff_self]
#align is_open.inter_frontier_eq IsOpen.inter_frontier_eq
theorem isClosed_frontier : IsClosed (frontier s) := by
rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure
#align is_closed_frontier isClosed_frontier
theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by
have A : frontier s = s \ interior s := h.frontier_eq
have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset
have C : interior (frontier s) ⊆ frontier s := interior_subset
have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) :=
subset_inter B (by simpa [A] using C)
rwa [inter_diff_self, subset_empty_iff] at this
#align interior_frontier interior_frontier
theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s :=
(union_diff_cancel interior_subset_closure).symm
#align closure_eq_interior_union_frontier closure_eq_interior_union_frontier
theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s :=
(union_diff_cancel' interior_subset subset_closure).symm
#align closure_eq_self_union_frontier closure_eq_self_union_frontier
theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t :=
subset_compl_iff_disjoint_right.1 <|
frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht
#align disjoint.frontier_left Disjoint.frontier_left
theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) :=
(hd.symm.frontier_left hs).symm
#align disjoint.frontier_right Disjoint.frontier_right
theorem frontier_eq_inter_compl_interior :
frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by
rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior]
#align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior
theorem compl_frontier_eq_union_interior :
(frontier s)ᶜ = interior s ∪ interior sᶜ := by
rw [frontier_eq_inter_compl_interior]
simp only [compl_inter, compl_compl]
#align compl_frontier_eq_union_interior compl_frontier_eq_union_interior
theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by
simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and]
#align nhds_def' nhds_def'
theorem nhds_basis_opens (x : X) :
(𝓝 x).HasBasis (fun s : Set X => x ∈ s ∧ IsOpen s) fun s => s := by
rw [nhds_def]
exact hasBasis_biInf_principal
(fun s ⟨has, hs⟩ t ⟨hat, ht⟩ =>
⟨s ∩ t, ⟨⟨has, hat⟩, IsOpen.inter hs ht⟩, ⟨inter_subset_left, inter_subset_right⟩⟩)
⟨univ, ⟨mem_univ x, isOpen_univ⟩⟩
#align nhds_basis_opens nhds_basis_opens
theorem nhds_basis_closeds (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∉ s ∧ IsClosed s) compl :=
⟨fun t => (nhds_basis_opens x).mem_iff.trans <|
compl_surjective.exists.trans <| by simp only [isOpen_compl_iff, mem_compl_iff]⟩
#align nhds_basis_closeds nhds_basis_closeds
@[simp]
theorem lift'_nhds_interior (x : X) : (𝓝 x).lift' interior = 𝓝 x :=
(nhds_basis_opens x).lift'_interior_eq_self fun _ ↦ And.right
theorem Filter.HasBasis.nhds_interior {x : X} {p : ι → Prop} {s : ι → Set X}
(h : (𝓝 x).HasBasis p s) : (𝓝 x).HasBasis p (interior <| s ·) :=
lift'_nhds_interior x ▸ h.lift'_interior
theorem le_nhds_iff {f} : f ≤ 𝓝 x ↔ ∀ s : Set X, x ∈ s → IsOpen s → s ∈ f := by simp [nhds_def]
#align le_nhds_iff le_nhds_iff
theorem nhds_le_of_le {f} (h : x ∈ s) (o : IsOpen s) (sf : 𝓟 s ≤ f) : 𝓝 x ≤ f := by
rw [nhds_def]; exact iInf₂_le_of_le s ⟨h, o⟩ sf
#align nhds_le_of_le nhds_le_of_le
theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t :=
(nhds_basis_opens x).mem_iff.trans <| exists_congr fun _ =>
⟨fun h => ⟨h.2, h.1.2, h.1.1⟩, fun h => ⟨⟨h.2.2, h.2.1⟩, h.1⟩⟩
#align mem_nhds_iff mem_nhds_iffₓ
theorem eventually_nhds_iff {p : X → Prop} :
(∀ᶠ x in 𝓝 x, p x) ↔ ∃ t : Set X, (∀ x ∈ t, p x) ∧ IsOpen t ∧ x ∈ t :=
mem_nhds_iff.trans <| by simp only [subset_def, exists_prop, mem_setOf_eq]
#align eventually_nhds_iff eventually_nhds_iff
theorem mem_interior_iff_mem_nhds : x ∈ interior s ↔ s ∈ 𝓝 x :=
mem_interior.trans mem_nhds_iff.symm
#align mem_interior_iff_mem_nhds mem_interior_iff_mem_nhds
theorem map_nhds {f : X → α} :
map f (𝓝 x) = ⨅ s ∈ { s : Set X | x ∈ s ∧ IsOpen s }, 𝓟 (f '' s) :=
((nhds_basis_opens x).map f).eq_biInf
#align map_nhds map_nhds
theorem mem_of_mem_nhds : s ∈ 𝓝 x → x ∈ s := fun H =>
let ⟨_t, ht, _, hs⟩ := mem_nhds_iff.1 H; ht hs
#align mem_of_mem_nhds mem_of_mem_nhds
theorem Filter.Eventually.self_of_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : p x :=
mem_of_mem_nhds h
#align filter.eventually.self_of_nhds Filter.Eventually.self_of_nhds
theorem IsOpen.mem_nhds (hs : IsOpen s) (hx : x ∈ s) : s ∈ 𝓝 x :=
mem_nhds_iff.2 ⟨s, Subset.refl _, hs, hx⟩
#align is_open.mem_nhds IsOpen.mem_nhds
protected theorem IsOpen.mem_nhds_iff (hs : IsOpen s) : s ∈ 𝓝 x ↔ x ∈ s :=
⟨mem_of_mem_nhds, fun hx => mem_nhds_iff.2 ⟨s, Subset.rfl, hs, hx⟩⟩
#align is_open.mem_nhds_iff IsOpen.mem_nhds_iff
theorem IsClosed.compl_mem_nhds (hs : IsClosed s) (hx : x ∉ s) : sᶜ ∈ 𝓝 x :=
hs.isOpen_compl.mem_nhds (mem_compl hx)
#align is_closed.compl_mem_nhds IsClosed.compl_mem_nhds
theorem IsOpen.eventually_mem (hs : IsOpen s) (hx : x ∈ s) :
∀ᶠ x in 𝓝 x, x ∈ s :=
IsOpen.mem_nhds hs hx
#align is_open.eventually_mem IsOpen.eventually_mem
theorem nhds_basis_opens' (x : X) :
(𝓝 x).HasBasis (fun s : Set X => s ∈ 𝓝 x ∧ IsOpen s) fun x => x := by
convert nhds_basis_opens x using 2
exact and_congr_left_iff.2 IsOpen.mem_nhds_iff
#align nhds_basis_opens' nhds_basis_opens'
theorem exists_open_set_nhds {U : Set X} (h : ∀ x ∈ s, U ∈ 𝓝 x) :
∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U :=
⟨interior U, fun x hx => mem_interior_iff_mem_nhds.2 <| h x hx, isOpen_interior, interior_subset⟩
#align exists_open_set_nhds exists_open_set_nhds
theorem exists_open_set_nhds' {U : Set X} (h : U ∈ ⨆ x ∈ s, 𝓝 x) :
∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U :=
exists_open_set_nhds (by simpa using h)
#align exists_open_set_nhds' exists_open_set_nhds'
theorem Filter.Eventually.eventually_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) :
∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x :=
let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h
eventually_nhds_iff.2 ⟨t, fun _x hx => eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩
#align filter.eventually.eventually_nhds Filter.Eventually.eventually_nhds
@[simp]
theorem eventually_eventually_nhds {p : X → Prop} :
(∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 x, p x :=
⟨fun h => h.self_of_nhds, fun h => h.eventually_nhds⟩
#align eventually_eventually_nhds eventually_eventually_nhds
@[simp]
theorem frequently_frequently_nhds {p : X → Prop} :
(∃ᶠ x' in 𝓝 x, ∃ᶠ x'' in 𝓝 x', p x'') ↔ ∃ᶠ x in 𝓝 x, p x := by
rw [← not_iff_not]
simp only [not_frequently, eventually_eventually_nhds]
#align frequently_frequently_nhds frequently_frequently_nhds
@[simp]
theorem eventually_mem_nhds : (∀ᶠ x' in 𝓝 x, s ∈ 𝓝 x') ↔ s ∈ 𝓝 x :=
eventually_eventually_nhds
#align eventually_mem_nhds eventually_mem_nhds
@[simp]
theorem nhds_bind_nhds : (𝓝 x).bind 𝓝 = 𝓝 x :=
Filter.ext fun _ => eventually_eventually_nhds
#align nhds_bind_nhds nhds_bind_nhds
@[simp]
theorem eventually_eventuallyEq_nhds {f g : X → α} :
(∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 x] g :=
eventually_eventually_nhds
#align eventually_eventually_eq_nhds eventually_eventuallyEq_nhds
theorem Filter.EventuallyEq.eq_of_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : f x = g x :=
h.self_of_nhds
#align filter.eventually_eq.eq_of_nhds Filter.EventuallyEq.eq_of_nhds
@[simp]
theorem eventually_eventuallyLE_nhds [LE α] {f g : X → α} :
(∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 x] g :=
eventually_eventually_nhds
#align eventually_eventually_le_nhds eventually_eventuallyLE_nhds
theorem Filter.EventuallyEq.eventuallyEq_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) :
∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g :=
h.eventually_nhds
#align filter.eventually_eq.eventually_eq_nhds Filter.EventuallyEq.eventuallyEq_nhds
theorem Filter.EventuallyLE.eventuallyLE_nhds [LE α] {f g : X → α} (h : f ≤ᶠ[𝓝 x] g) :
∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g :=
h.eventually_nhds
#align filter.eventually_le.eventually_le_nhds Filter.EventuallyLE.eventuallyLE_nhds
theorem all_mem_nhds (x : X) (P : Set X → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) :
(∀ s ∈ 𝓝 x, P s) ↔ ∀ s, IsOpen s → x ∈ s → P s :=
((nhds_basis_opens x).forall_iff hP).trans <| by simp only [@and_comm (x ∈ _), and_imp]
#align all_mem_nhds all_mem_nhds
theorem all_mem_nhds_filter (x : X) (f : Set X → Set α) (hf : ∀ s t, s ⊆ t → f s ⊆ f t)
(l : Filter α) : (∀ s ∈ 𝓝 x, f s ∈ l) ↔ ∀ s, IsOpen s → x ∈ s → f s ∈ l :=
all_mem_nhds _ _ fun s t ssubt h => mem_of_superset h (hf s t ssubt)
#align all_mem_nhds_filter all_mem_nhds_filter
theorem tendsto_nhds {f : α → X} {l : Filter α} :
Tendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f ⁻¹' s ∈ l :=
all_mem_nhds_filter _ _ (fun _ _ h => preimage_mono h) _
#align tendsto_nhds tendsto_nhds
theorem tendsto_atTop_nhds [Nonempty α] [SemilatticeSup α] {f : α → X} :
Tendsto f atTop (𝓝 x) ↔ ∀ U : Set X, x ∈ U → IsOpen U → ∃ N, ∀ n, N ≤ n → f n ∈ U :=
(atTop_basis.tendsto_iff (nhds_basis_opens x)).trans <| by
simp only [and_imp, exists_prop, true_and_iff, mem_Ici, ge_iff_le]
#align tendsto_at_top_nhds tendsto_atTop_nhds
theorem tendsto_const_nhds {f : Filter α} : Tendsto (fun _ : α => x) f (𝓝 x) :=
tendsto_nhds.mpr fun _ _ ha => univ_mem' fun _ => ha
#align tendsto_const_nhds tendsto_const_nhds
theorem tendsto_atTop_of_eventually_const {ι : Type*} [SemilatticeSup ι] [Nonempty ι]
{u : ι → X} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : Tendsto u atTop (𝓝 x) :=
Tendsto.congr' (EventuallyEq.symm (eventually_atTop.mpr ⟨i₀, h⟩)) tendsto_const_nhds
#align tendsto_at_top_of_eventually_const tendsto_atTop_of_eventually_const
theorem tendsto_atBot_of_eventually_const {ι : Type*} [SemilatticeInf ι] [Nonempty ι]
{u : ι → X} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : Tendsto u atBot (𝓝 x) :=
Tendsto.congr' (EventuallyEq.symm (eventually_atBot.mpr ⟨i₀, h⟩)) tendsto_const_nhds
#align tendsto_at_bot_of_eventually_const tendsto_atBot_of_eventually_const
theorem pure_le_nhds : pure ≤ (𝓝 : X → Filter X) := fun _ _ hs => mem_pure.2 <| mem_of_mem_nhds hs
#align pure_le_nhds pure_le_nhds
theorem tendsto_pure_nhds (f : α → X) (a : α) : Tendsto f (pure a) (𝓝 (f a)) :=
(tendsto_pure_pure f a).mono_right (pure_le_nhds _)
#align tendsto_pure_nhds tendsto_pure_nhds
theorem OrderTop.tendsto_atTop_nhds [PartialOrder α] [OrderTop α] (f : α → X) :
Tendsto f atTop (𝓝 (f ⊤)) :=
(tendsto_atTop_pure f).mono_right (pure_le_nhds _)
#align order_top.tendsto_at_top_nhds OrderTop.tendsto_atTop_nhds
@[simp]
instance nhds_neBot : NeBot (𝓝 x) :=
neBot_of_le (pure_le_nhds x)
#align nhds_ne_bot nhds_neBot
theorem tendsto_nhds_of_eventually_eq {l : Filter α} {f : α → X} (h : ∀ᶠ x' in l, f x' = x) :
Tendsto f l (𝓝 x) :=
tendsto_const_nhds.congr' (.symm h)
theorem Filter.EventuallyEq.tendsto {l : Filter α} {f : α → X} (hf : f =ᶠ[l] fun _ ↦ x) :
Tendsto f l (𝓝 x) :=
tendsto_nhds_of_eventually_eq hf
theorem ClusterPt.neBot {F : Filter X} (h : ClusterPt x F) : NeBot (𝓝 x ⊓ F) :=
h
#align cluster_pt.ne_bot ClusterPt.neBot
theorem Filter.HasBasis.clusterPt_iff {ιX ιF} {pX : ιX → Prop} {sX : ιX → Set X} {pF : ιF → Prop}
{sF : ιF → Set X} {F : Filter X} (hX : (𝓝 x).HasBasis pX sX) (hF : F.HasBasis pF sF) :
ClusterPt x F ↔ ∀ ⦃i⦄, pX i → ∀ ⦃j⦄, pF j → (sX i ∩ sF j).Nonempty :=
hX.inf_basis_neBot_iff hF
#align filter.has_basis.cluster_pt_iff Filter.HasBasis.clusterPt_iff
theorem clusterPt_iff {F : Filter X} :
ClusterPt x F ↔ ∀ ⦃U : Set X⦄, U ∈ 𝓝 x → ∀ ⦃V⦄, V ∈ F → (U ∩ V).Nonempty :=
inf_neBot_iff
#align cluster_pt_iff clusterPt_iff
theorem clusterPt_iff_not_disjoint {F : Filter X} :
ClusterPt x F ↔ ¬Disjoint (𝓝 x) F := by
rw [disjoint_iff, ClusterPt, neBot_iff]
theorem clusterPt_principal_iff :
ClusterPt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).Nonempty :=
inf_principal_neBot_iff
#align cluster_pt_principal_iff clusterPt_principal_iff
theorem clusterPt_principal_iff_frequently :
ClusterPt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s := by
simp only [clusterPt_principal_iff, frequently_iff, Set.Nonempty, exists_prop, mem_inter_iff]
#align cluster_pt_principal_iff_frequently clusterPt_principal_iff_frequently
theorem ClusterPt.of_le_nhds {f : Filter X} (H : f ≤ 𝓝 x) [NeBot f] : ClusterPt x f := by
rwa [ClusterPt, inf_eq_right.mpr H]
#align cluster_pt.of_le_nhds ClusterPt.of_le_nhds
theorem ClusterPt.of_le_nhds' {f : Filter X} (H : f ≤ 𝓝 x) (_hf : NeBot f) :
ClusterPt x f :=
ClusterPt.of_le_nhds H
#align cluster_pt.of_le_nhds' ClusterPt.of_le_nhds'
theorem ClusterPt.of_nhds_le {f : Filter X} (H : 𝓝 x ≤ f) : ClusterPt x f := by
simp only [ClusterPt, inf_eq_left.mpr H, nhds_neBot]
#align cluster_pt.of_nhds_le ClusterPt.of_nhds_le
theorem ClusterPt.mono {f g : Filter X} (H : ClusterPt x f) (h : f ≤ g) : ClusterPt x g :=
NeBot.mono H <| inf_le_inf_left _ h
#align cluster_pt.mono ClusterPt.mono
theorem ClusterPt.of_inf_left {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x f :=
H.mono inf_le_left
#align cluster_pt.of_inf_left ClusterPt.of_inf_left
theorem ClusterPt.of_inf_right {f g : Filter X} (H : ClusterPt x <| f ⊓ g) :
ClusterPt x g :=
H.mono inf_le_right
#align cluster_pt.of_inf_right ClusterPt.of_inf_right
theorem Ultrafilter.clusterPt_iff {f : Ultrafilter X} : ClusterPt x f ↔ ↑f ≤ 𝓝 x :=
⟨f.le_of_inf_neBot', fun h => ClusterPt.of_le_nhds h⟩
#align ultrafilter.cluster_pt_iff Ultrafilter.clusterPt_iff
theorem clusterPt_iff_ultrafilter {f : Filter X} : ClusterPt x f ↔
∃ u : Ultrafilter X, u ≤ f ∧ u ≤ 𝓝 x := by
simp_rw [ClusterPt, ← le_inf_iff, exists_ultrafilter_iff, inf_comm]
theorem mapClusterPt_def {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ClusterPt x (map u F) := Iff.rfl
theorem mapClusterPt_iff {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s := by
simp_rw [MapClusterPt, ClusterPt, inf_neBot_iff_frequently_left, frequently_map]
rfl
#align map_cluster_pt_iff mapClusterPt_iff
theorem mapClusterPt_iff_ultrafilter {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ∃ U : Ultrafilter ι, U ≤ F ∧ Tendsto u U (𝓝 x) := by
simp_rw [MapClusterPt, ClusterPt, ← Filter.push_pull', map_neBot_iff, tendsto_iff_comap,
← le_inf_iff, exists_ultrafilter_iff, inf_comm]
theorem mapClusterPt_comp {X α β : Type*} {x : X} [TopologicalSpace X] {F : Filter α} {φ : α → β}
{u : β → X} : MapClusterPt x F (u ∘ φ) ↔ MapClusterPt x (map φ F) u := Iff.rfl
theorem mapClusterPt_of_comp {F : Filter α} {φ : β → α} {p : Filter β}
{u : α → X} [NeBot p] (h : Tendsto φ p F) (H : Tendsto (u ∘ φ) p (𝓝 x)) :
MapClusterPt x F u := by
have :=
calc
map (u ∘ φ) p = map u (map φ p) := map_map
_ ≤ map u F := map_mono h
have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F := le_inf H this
exact neBot_of_le this
#align map_cluster_pt_of_comp mapClusterPt_of_comp
theorem acc_iff_cluster (x : X) (F : Filter X) : AccPt x F ↔ ClusterPt x (𝓟 {x}ᶜ ⊓ F) := by
rw [AccPt, nhdsWithin, ClusterPt, inf_assoc]
#align acc_iff_cluster acc_iff_cluster
theorem acc_principal_iff_cluster (x : X) (C : Set X) :
AccPt x (𝓟 C) ↔ ClusterPt x (𝓟 (C \ {x})) := by
rw [acc_iff_cluster, inf_principal, inter_comm, diff_eq]
#align acc_principal_iff_cluster acc_principal_iff_cluster
theorem accPt_iff_nhds (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by
simp [acc_principal_iff_cluster, clusterPt_principal_iff, Set.Nonempty, exists_prop, and_assoc,
@and_comm (¬_ = x)]
#align acc_pt_iff_nhds accPt_iff_nhds
theorem accPt_iff_frequently (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∃ᶠ y in 𝓝 x, y ≠ x ∧ y ∈ C := by
simp [acc_principal_iff_cluster, clusterPt_principal_iff_frequently, and_comm]
#align acc_pt_iff_frequently accPt_iff_frequently
theorem AccPt.mono {F G : Filter X} (h : AccPt x F) (hFG : F ≤ G) : AccPt x G :=
NeBot.mono h (inf_le_inf_left _ hFG)
#align acc_pt.mono AccPt.mono
theorem interior_eq_nhds' : interior s = { x | s ∈ 𝓝 x } :=
Set.ext fun x => by simp only [mem_interior, mem_nhds_iff, mem_setOf_eq]
#align interior_eq_nhds' interior_eq_nhds'
theorem interior_eq_nhds : interior s = { x | 𝓝 x ≤ 𝓟 s } :=
interior_eq_nhds'.trans <| by simp only [le_principal_iff]
#align interior_eq_nhds interior_eq_nhds
@[simp]
theorem interior_mem_nhds : interior s ∈ 𝓝 x ↔ s ∈ 𝓝 x :=
⟨fun h => mem_of_superset h interior_subset, fun h =>
IsOpen.mem_nhds isOpen_interior (mem_interior_iff_mem_nhds.2 h)⟩
#align interior_mem_nhds interior_mem_nhds
theorem interior_setOf_eq {p : X → Prop} : interior { x | p x } = { x | ∀ᶠ y in 𝓝 x, p y } :=
interior_eq_nhds'
#align interior_set_of_eq interior_setOf_eq
theorem isOpen_setOf_eventually_nhds {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝 x, p y } := by
simp only [← interior_setOf_eq, isOpen_interior]
#align is_open_set_of_eventually_nhds isOpen_setOf_eventually_nhds
theorem subset_interior_iff_nhds {V : Set X} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x := by
simp_rw [subset_def, mem_interior_iff_mem_nhds]
#align subset_interior_iff_nhds subset_interior_iff_nhds
theorem isOpen_iff_nhds : IsOpen s ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s :=
calc
IsOpen s ↔ s ⊆ interior s := subset_interior_iff_isOpen.symm
_ ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := by simp_rw [interior_eq_nhds, subset_def, mem_setOf]
#align is_open_iff_nhds isOpen_iff_nhds
theorem TopologicalSpace.ext_iff_nhds {t t' : TopologicalSpace X} :
t = t' ↔ ∀ x, @nhds _ t x = @nhds _ t' x :=
⟨fun H x ↦ congrFun (congrArg _ H) _, fun H ↦ by ext; simp_rw [@isOpen_iff_nhds _ _ _, H]⟩
alias ⟨_, TopologicalSpace.ext_nhds⟩ := TopologicalSpace.ext_iff_nhds
theorem isOpen_iff_mem_nhds : IsOpen s ↔ ∀ x ∈ s, s ∈ 𝓝 x :=
isOpen_iff_nhds.trans <| forall_congr' fun _ => imp_congr_right fun _ => le_principal_iff
#align is_open_iff_mem_nhds isOpen_iff_mem_nhds
theorem isOpen_iff_eventually : IsOpen s ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, y ∈ s :=
isOpen_iff_mem_nhds
#align is_open_iff_eventually isOpen_iff_eventually
theorem isOpen_iff_ultrafilter :
IsOpen s ↔ ∀ x ∈ s, ∀ (l : Ultrafilter X), ↑l ≤ 𝓝 x → s ∈ l := by
simp_rw [isOpen_iff_mem_nhds, ← mem_iff_ultrafilter]
#align is_open_iff_ultrafilter isOpen_iff_ultrafilter
theorem isOpen_singleton_iff_nhds_eq_pure (x : X) : IsOpen ({x} : Set X) ↔ 𝓝 x = pure x := by
constructor
· intro h
apply le_antisymm _ (pure_le_nhds x)
rw [le_pure_iff]
exact h.mem_nhds (mem_singleton x)
· intro h
simp [isOpen_iff_nhds, h]
#align is_open_singleton_iff_nhds_eq_pure isOpen_singleton_iff_nhds_eq_pure
theorem isOpen_singleton_iff_punctured_nhds (x : X) : IsOpen ({x} : Set X) ↔ 𝓝[≠] x = ⊥ := by
rw [isOpen_singleton_iff_nhds_eq_pure, nhdsWithin, ← mem_iff_inf_principal_compl, ← le_pure_iff,
nhds_neBot.le_pure_iff]
#align is_open_singleton_iff_punctured_nhds isOpen_singleton_iff_punctured_nhds
theorem mem_closure_iff_frequently : x ∈ closure s ↔ ∃ᶠ x in 𝓝 x, x ∈ s := by
rw [Filter.Frequently, Filter.Eventually, ← mem_interior_iff_mem_nhds,
closure_eq_compl_interior_compl, mem_compl_iff, compl_def]
#align mem_closure_iff_frequently mem_closure_iff_frequently
alias ⟨_, Filter.Frequently.mem_closure⟩ := mem_closure_iff_frequently
#align filter.frequently.mem_closure Filter.Frequently.mem_closure
theorem isClosed_iff_frequently : IsClosed s ↔ ∀ x, (∃ᶠ y in 𝓝 x, y ∈ s) → x ∈ s := by
rw [← closure_subset_iff_isClosed]
refine forall_congr' fun x => ?_
rw [mem_closure_iff_frequently]
#align is_closed_iff_frequently isClosed_iff_frequently
theorem isClosed_setOf_clusterPt {f : Filter X} : IsClosed { x | ClusterPt x f } := by
simp only [ClusterPt, inf_neBot_iff_frequently_left, setOf_forall, imp_iff_not_or]
refine isClosed_iInter fun p => IsClosed.union ?_ ?_ <;> apply isClosed_compl_iff.2
exacts [isOpen_setOf_eventually_nhds, isOpen_const]
#align is_closed_set_of_cluster_pt isClosed_setOf_clusterPt
theorem mem_closure_iff_clusterPt : x ∈ closure s ↔ ClusterPt x (𝓟 s) :=
mem_closure_iff_frequently.trans clusterPt_principal_iff_frequently.symm
#align mem_closure_iff_cluster_pt mem_closure_iff_clusterPt
theorem mem_closure_iff_nhds_ne_bot : x ∈ closure s ↔ 𝓝 x ⊓ 𝓟 s ≠ ⊥ :=
mem_closure_iff_clusterPt.trans neBot_iff
#align mem_closure_iff_nhds_ne_bot mem_closure_iff_nhds_ne_bot
@[deprecated (since := "2024-01-28")]
alias mem_closure_iff_nhds_neBot := mem_closure_iff_nhds_ne_bot
theorem mem_closure_iff_nhdsWithin_neBot : x ∈ closure s ↔ NeBot (𝓝[s] x) :=
mem_closure_iff_clusterPt
#align mem_closure_iff_nhds_within_ne_bot mem_closure_iff_nhdsWithin_neBot
lemma not_mem_closure_iff_nhdsWithin_eq_bot : x ∉ closure s ↔ 𝓝[s] x = ⊥ := by
rw [mem_closure_iff_nhdsWithin_neBot, not_neBot]
theorem dense_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : Dense ({x}ᶜ : Set X) := by
intro y
rcases eq_or_ne y x with (rfl | hne)
· rwa [mem_closure_iff_nhdsWithin_neBot]
· exact subset_closure hne
#align dense_compl_singleton dense_compl_singleton
-- Porting note (#10618): was a `@[simp]` lemma but `simp` can prove it
theorem closure_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : closure {x}ᶜ = (univ : Set X) :=
(dense_compl_singleton x).closure_eq
#align closure_compl_singleton closure_compl_singleton
@[simp]
theorem interior_singleton (x : X) [NeBot (𝓝[≠] x)] : interior {x} = (∅ : Set X) :=
interior_eq_empty_iff_dense_compl.2 (dense_compl_singleton x)
#align interior_singleton interior_singleton
theorem not_isOpen_singleton (x : X) [NeBot (𝓝[≠] x)] : ¬IsOpen ({x} : Set X) :=
dense_compl_singleton_iff_not_open.1 (dense_compl_singleton x)
#align not_is_open_singleton not_isOpen_singleton
theorem closure_eq_cluster_pts : closure s = { a | ClusterPt a (𝓟 s) } :=
Set.ext fun _ => mem_closure_iff_clusterPt
#align closure_eq_cluster_pts closure_eq_cluster_pts
theorem mem_closure_iff_nhds : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, (t ∩ s).Nonempty :=
mem_closure_iff_clusterPt.trans clusterPt_principal_iff
#align mem_closure_iff_nhds mem_closure_iff_nhds
theorem mem_closure_iff_nhds' : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, ∃ y : s, ↑y ∈ t := by
simp only [mem_closure_iff_nhds, Set.inter_nonempty_iff_exists_right, SetCoe.exists, exists_prop]
#align mem_closure_iff_nhds' mem_closure_iff_nhds'
theorem mem_closure_iff_comap_neBot :
x ∈ closure s ↔ NeBot (comap ((↑) : s → X) (𝓝 x)) := by
simp_rw [mem_closure_iff_nhds, comap_neBot_iff, Set.inter_nonempty_iff_exists_right,
SetCoe.exists, exists_prop]
#align mem_closure_iff_comap_ne_bot mem_closure_iff_comap_neBot
theorem mem_closure_iff_nhds_basis' {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) :
x ∈ closure t ↔ ∀ i, p i → (s i ∩ t).Nonempty :=
mem_closure_iff_clusterPt.trans <|
(h.clusterPt_iff (hasBasis_principal _)).trans <| by simp only [exists_prop, forall_const]
#align mem_closure_iff_nhds_basis' mem_closure_iff_nhds_basis'
theorem mem_closure_iff_nhds_basis {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) :
x ∈ closure t ↔ ∀ i, p i → ∃ y ∈ t, y ∈ s i :=
(mem_closure_iff_nhds_basis' h).trans <| by
simp only [Set.Nonempty, mem_inter_iff, exists_prop, and_comm]
#align mem_closure_iff_nhds_basis mem_closure_iff_nhds_basis
theorem clusterPt_iff_forall_mem_closure {F : Filter X} :
ClusterPt x F ↔ ∀ s ∈ F, x ∈ closure s := by
simp_rw [ClusterPt, inf_neBot_iff, mem_closure_iff_nhds]
rw [forall₂_swap]
theorem clusterPt_iff_lift'_closure {F : Filter X} :
ClusterPt x F ↔ pure x ≤ (F.lift' closure) := by
simp_rw [clusterPt_iff_forall_mem_closure,
(hasBasis_pure _).le_basis_iff F.basis_sets.lift'_closure, id, singleton_subset_iff, true_and,
exists_const]
theorem clusterPt_iff_lift'_closure' {F : Filter X} :
ClusterPt x F ↔ (F.lift' closure ⊓ pure x).NeBot := by
rw [clusterPt_iff_lift'_closure, ← Ultrafilter.coe_pure, inf_comm, Ultrafilter.inf_neBot_iff]
@[simp]
theorem clusterPt_lift'_closure_iff {F : Filter X} :
ClusterPt x (F.lift' closure) ↔ ClusterPt x F := by
simp [clusterPt_iff_lift'_closure, lift'_lift'_assoc (monotone_closure X) (monotone_closure X)]
theorem mem_closure_iff_ultrafilter :
x ∈ closure s ↔ ∃ u : Ultrafilter X, s ∈ u ∧ ↑u ≤ 𝓝 x := by
simp [closure_eq_cluster_pts, ClusterPt, ← exists_ultrafilter_iff, and_comm]
#align mem_closure_iff_ultrafilter mem_closure_iff_ultrafilter
| Mathlib/Topology/Basic.lean | 1,337 | 1,340 | theorem isClosed_iff_clusterPt : IsClosed s ↔ ∀ a, ClusterPt a (𝓟 s) → a ∈ s :=
calc
IsClosed s ↔ closure s ⊆ s := closure_subset_iff_isClosed.symm
_ ↔ ∀ a, ClusterPt a (𝓟 s) → a ∈ s := by | simp only [subset_def, mem_closure_iff_clusterPt]
|
import Mathlib.LinearAlgebra.FreeModule.PID
import Mathlib.LinearAlgebra.FreeModule.Finite.Basic
import Mathlib.LinearAlgebra.BilinearForm.DualLattice
import Mathlib.RingTheory.DedekindDomain.Basic
import Mathlib.RingTheory.Localization.Module
import Mathlib.RingTheory.Trace
#align_import ring_theory.dedekind_domain.integral_closure from "leanprover-community/mathlib"@"4cf7ca0e69e048b006674cf4499e5c7d296a89e0"
variable (R A K : Type*) [CommRing R] [CommRing A] [Field K]
open scoped nonZeroDivisors Polynomial
variable [IsDomain A]
section IsIntegralClosure
open Algebra
variable [Algebra A K] [IsFractionRing A K]
variable (L : Type*) [Field L] (C : Type*) [CommRing C]
variable [Algebra K L] [Algebra A L] [IsScalarTower A K L]
variable [Algebra C L] [IsIntegralClosure C A L] [Algebra A C] [IsScalarTower A C L]
theorem IsIntegralClosure.isLocalization [Algebra.IsAlgebraic K L] :
IsLocalization (Algebra.algebraMapSubmonoid C A⁰) L := by
haveI : IsDomain C :=
(IsIntegralClosure.equiv A C L (integralClosure A L)).toMulEquiv.isDomain (integralClosure A L)
haveI : NoZeroSMulDivisors A L := NoZeroSMulDivisors.trans A K L
haveI : NoZeroSMulDivisors A C := IsIntegralClosure.noZeroSMulDivisors A L
refine ⟨?_, fun z => ?_, fun {x y} h => ⟨1, ?_⟩⟩
· rintro ⟨_, x, hx, rfl⟩
rw [isUnit_iff_ne_zero, map_ne_zero_iff _ (IsIntegralClosure.algebraMap_injective C A L),
Subtype.coe_mk, map_ne_zero_iff _ (NoZeroSMulDivisors.algebraMap_injective A C)]
exact mem_nonZeroDivisors_iff_ne_zero.mp hx
· obtain ⟨m, hm⟩ :=
IsIntegral.exists_multiple_integral_of_isLocalization A⁰ z
(Algebra.IsIntegral.isIntegral (R := K) z)
obtain ⟨x, hx⟩ : ∃ x, algebraMap C L x = m • z := IsIntegralClosure.isIntegral_iff.mp hm
refine ⟨⟨x, algebraMap A C m, m, SetLike.coe_mem m, rfl⟩, ?_⟩
rw [Subtype.coe_mk, ← IsScalarTower.algebraMap_apply, hx, mul_comm, Submonoid.smul_def,
smul_def]
· simp only [IsIntegralClosure.algebraMap_injective C A L h]
theorem IsIntegralClosure.isLocalization_of_isSeparable [IsSeparable K L] :
IsLocalization (Algebra.algebraMapSubmonoid C A⁰) L :=
IsIntegralClosure.isLocalization A K L C
#align is_integral_closure.is_localization IsIntegralClosure.isLocalization_of_isSeparable
variable [FiniteDimensional K L]
variable {A K L}
theorem IsIntegralClosure.range_le_span_dualBasis [IsSeparable K L] {ι : Type*} [Fintype ι]
[DecidableEq ι] (b : Basis ι K L) (hb_int : ∀ i, IsIntegral A (b i)) [IsIntegrallyClosed A] :
LinearMap.range ((Algebra.linearMap C L).restrictScalars A) ≤
Submodule.span A (Set.range <| (traceForm K L).dualBasis (traceForm_nondegenerate K L) b) := by
rw [← LinearMap.BilinForm.dualSubmodule_span_of_basis,
← LinearMap.BilinForm.le_flip_dualSubmodule, Submodule.span_le]
rintro _ ⟨i, rfl⟩ _ ⟨y, rfl⟩
simp only [LinearMap.coe_restrictScalars, linearMap_apply, LinearMap.BilinForm.flip_apply,
traceForm_apply]
refine IsIntegrallyClosed.isIntegral_iff.mp ?_
exact isIntegral_trace ((IsIntegralClosure.isIntegral A L y).algebraMap.mul (hb_int i))
#align is_integral_closure.range_le_span_dual_basis IsIntegralClosure.range_le_span_dualBasis
theorem integralClosure_le_span_dualBasis [IsSeparable K L] {ι : Type*} [Fintype ι] [DecidableEq ι]
(b : Basis ι K L) (hb_int : ∀ i, IsIntegral A (b i)) [IsIntegrallyClosed A] :
Subalgebra.toSubmodule (integralClosure A L) ≤
Submodule.span A (Set.range <| (traceForm K L).dualBasis (traceForm_nondegenerate K L) b) := by
refine le_trans ?_ (IsIntegralClosure.range_le_span_dualBasis (integralClosure A L) b hb_int)
intro x hx
exact ⟨⟨x, hx⟩, rfl⟩
#align integral_closure_le_span_dual_basis integralClosure_le_span_dualBasis
variable (A K)
theorem exists_integral_multiples (s : Finset L) :
∃ y ≠ (0 : A), ∀ x ∈ s, IsIntegral A (y • x) := by
haveI := Classical.decEq L
refine s.induction ?_ ?_
· use 1, one_ne_zero
rintro x ⟨⟩
· rintro x s hx ⟨y, hy, hs⟩
have := exists_integral_multiple
((IsFractionRing.isAlgebraic_iff A K L).mpr (.of_finite _ x))
((injective_iff_map_eq_zero (algebraMap A L)).mp ?_)
· rcases this with ⟨x', y', hy', hx'⟩
refine ⟨y * y', mul_ne_zero hy hy', fun x'' hx'' => ?_⟩
rcases Finset.mem_insert.mp hx'' with (rfl | hx'')
· rw [mul_smul, Algebra.smul_def, Algebra.smul_def, mul_comm _ x'', hx']
exact isIntegral_algebraMap.mul x'.2
· rw [mul_comm, mul_smul, Algebra.smul_def]
exact isIntegral_algebraMap.mul (hs _ hx'')
· rw [IsScalarTower.algebraMap_eq A K L]
apply (algebraMap K L).injective.comp
exact IsFractionRing.injective _ _
#align exists_integral_multiples exists_integral_multiples
variable (L)
| Mathlib/RingTheory/DedekindDomain/IntegralClosure.lean | 145 | 167 | theorem FiniteDimensional.exists_is_basis_integral :
∃ (s : Finset L) (b : Basis s K L), ∀ x, IsIntegral A (b x) := by |
letI := Classical.decEq L
letI : IsNoetherian K L := IsNoetherian.iff_fg.2 inferInstance
let s' := IsNoetherian.finsetBasisIndex K L
let bs' := IsNoetherian.finsetBasis K L
obtain ⟨y, hy, his'⟩ := exists_integral_multiples A K (Finset.univ.image bs')
have hy' : algebraMap A L y ≠ 0 := by
refine mt ((injective_iff_map_eq_zero (algebraMap A L)).mp ?_ _) hy
rw [IsScalarTower.algebraMap_eq A K L]
exact (algebraMap K L).injective.comp (IsFractionRing.injective A K)
refine ⟨s', bs'.map {Algebra.lmul _ _ (algebraMap A L y) with
toFun := fun x => algebraMap A L y * x
invFun := fun x => (algebraMap A L y)⁻¹ * x
left_inv := ?_
right_inv := ?_}, ?_⟩
· intro x; simp only [inv_mul_cancel_left₀ hy']
· intro x; simp only [mul_inv_cancel_left₀ hy']
· rintro ⟨x', hx'⟩
simp only [Algebra.smul_def, Finset.mem_image, exists_prop, Finset.mem_univ,
true_and_iff] at his'
simp only [Basis.map_apply, LinearEquiv.coe_mk]
exact his' _ ⟨_, rfl⟩
|
import Mathlib.Tactic.TFAE
import Mathlib.Topology.ContinuousOn
#align_import topology.inseparable from "leanprover-community/mathlib"@"bcfa726826abd57587355b4b5b7e78ad6527b7e4"
open Set Filter Function Topology List
variable {X Y Z α ι : Type*} {π : ι → Type*} [TopologicalSpace X] [TopologicalSpace Y]
[TopologicalSpace Z] [∀ i, TopologicalSpace (π i)] {x y z : X} {s : Set X} {f g : X → Y}
theorem specializes_TFAE (x y : X) :
TFAE [x ⤳ y,
pure x ≤ 𝓝 y,
∀ s : Set X , IsOpen s → y ∈ s → x ∈ s,
∀ s : Set X , IsClosed s → x ∈ s → y ∈ s,
y ∈ closure ({ x } : Set X),
closure ({ y } : Set X) ⊆ closure { x },
ClusterPt y (pure x)] := by
tfae_have 1 → 2
· exact (pure_le_nhds _).trans
tfae_have 2 → 3
· exact fun h s hso hy => h (hso.mem_nhds hy)
tfae_have 3 → 4
· exact fun h s hsc hx => of_not_not fun hy => h sᶜ hsc.isOpen_compl hy hx
tfae_have 4 → 5
· exact fun h => h _ isClosed_closure (subset_closure <| mem_singleton _)
tfae_have 6 ↔ 5
· exact isClosed_closure.closure_subset_iff.trans singleton_subset_iff
tfae_have 5 ↔ 7
· rw [mem_closure_iff_clusterPt, principal_singleton]
tfae_have 5 → 1
· refine fun h => (nhds_basis_opens _).ge_iff.2 ?_
rintro s ⟨hy, ho⟩
rcases mem_closure_iff.1 h s ho hy with ⟨z, hxs, rfl : z = x⟩
exact ho.mem_nhds hxs
tfae_finish
#align specializes_tfae specializes_TFAE
theorem specializes_iff_nhds : x ⤳ y ↔ 𝓝 x ≤ 𝓝 y :=
Iff.rfl
#align specializes_iff_nhds specializes_iff_nhds
theorem Specializes.not_disjoint (h : x ⤳ y) : ¬Disjoint (𝓝 x) (𝓝 y) := fun hd ↦
absurd (hd.mono_right h) <| by simp [NeBot.ne']
theorem specializes_iff_pure : x ⤳ y ↔ pure x ≤ 𝓝 y :=
(specializes_TFAE x y).out 0 1
#align specializes_iff_pure specializes_iff_pure
alias ⟨Specializes.nhds_le_nhds, _⟩ := specializes_iff_nhds
#align specializes.nhds_le_nhds Specializes.nhds_le_nhds
alias ⟨Specializes.pure_le_nhds, _⟩ := specializes_iff_pure
#align specializes.pure_le_nhds Specializes.pure_le_nhds
theorem ker_nhds_eq_specializes : (𝓝 x).ker = {y | y ⤳ x} := by
ext; simp [specializes_iff_pure, le_def]
theorem specializes_iff_forall_open : x ⤳ y ↔ ∀ s : Set X, IsOpen s → y ∈ s → x ∈ s :=
(specializes_TFAE x y).out 0 2
#align specializes_iff_forall_open specializes_iff_forall_open
theorem Specializes.mem_open (h : x ⤳ y) (hs : IsOpen s) (hy : y ∈ s) : x ∈ s :=
specializes_iff_forall_open.1 h s hs hy
#align specializes.mem_open Specializes.mem_open
theorem IsOpen.not_specializes (hs : IsOpen s) (hx : x ∉ s) (hy : y ∈ s) : ¬x ⤳ y := fun h =>
hx <| h.mem_open hs hy
#align is_open.not_specializes IsOpen.not_specializes
theorem specializes_iff_forall_closed : x ⤳ y ↔ ∀ s : Set X, IsClosed s → x ∈ s → y ∈ s :=
(specializes_TFAE x y).out 0 3
#align specializes_iff_forall_closed specializes_iff_forall_closed
theorem Specializes.mem_closed (h : x ⤳ y) (hs : IsClosed s) (hx : x ∈ s) : y ∈ s :=
specializes_iff_forall_closed.1 h s hs hx
#align specializes.mem_closed Specializes.mem_closed
theorem IsClosed.not_specializes (hs : IsClosed s) (hx : x ∈ s) (hy : y ∉ s) : ¬x ⤳ y := fun h =>
hy <| h.mem_closed hs hx
#align is_closed.not_specializes IsClosed.not_specializes
theorem specializes_iff_mem_closure : x ⤳ y ↔ y ∈ closure ({x} : Set X) :=
(specializes_TFAE x y).out 0 4
#align specializes_iff_mem_closure specializes_iff_mem_closure
alias ⟨Specializes.mem_closure, _⟩ := specializes_iff_mem_closure
#align specializes.mem_closure Specializes.mem_closure
theorem specializes_iff_closure_subset : x ⤳ y ↔ closure ({y} : Set X) ⊆ closure {x} :=
(specializes_TFAE x y).out 0 5
#align specializes_iff_closure_subset specializes_iff_closure_subset
alias ⟨Specializes.closure_subset, _⟩ := specializes_iff_closure_subset
#align specializes.closure_subset Specializes.closure_subset
-- Porting note (#10756): new lemma
theorem specializes_iff_clusterPt : x ⤳ y ↔ ClusterPt y (pure x) :=
(specializes_TFAE x y).out 0 6
theorem Filter.HasBasis.specializes_iff {ι} {p : ι → Prop} {s : ι → Set X}
(h : (𝓝 y).HasBasis p s) : x ⤳ y ↔ ∀ i, p i → x ∈ s i :=
specializes_iff_pure.trans h.ge_iff
#align filter.has_basis.specializes_iff Filter.HasBasis.specializes_iff
theorem specializes_rfl : x ⤳ x := le_rfl
#align specializes_rfl specializes_rfl
@[refl]
theorem specializes_refl (x : X) : x ⤳ x :=
specializes_rfl
#align specializes_refl specializes_refl
@[trans]
theorem Specializes.trans : x ⤳ y → y ⤳ z → x ⤳ z :=
le_trans
#align specializes.trans Specializes.trans
theorem specializes_of_eq (e : x = y) : x ⤳ y :=
e ▸ specializes_refl x
#align specializes_of_eq specializes_of_eq
theorem specializes_of_nhdsWithin (h₁ : 𝓝[s] x ≤ 𝓝[s] y) (h₂ : x ∈ s) : x ⤳ y :=
specializes_iff_pure.2 <|
calc
pure x ≤ 𝓝[s] x := le_inf (pure_le_nhds _) (le_principal_iff.2 h₂)
_ ≤ 𝓝[s] y := h₁
_ ≤ 𝓝 y := inf_le_left
#align specializes_of_nhds_within specializes_of_nhdsWithin
theorem Specializes.map_of_continuousAt (h : x ⤳ y) (hy : ContinuousAt f y) : f x ⤳ f y :=
specializes_iff_pure.2 fun _s hs =>
mem_pure.2 <| mem_preimage.1 <| mem_of_mem_nhds <| hy.mono_left h hs
#align specializes.map_of_continuous_at Specializes.map_of_continuousAt
theorem Specializes.map (h : x ⤳ y) (hf : Continuous f) : f x ⤳ f y :=
h.map_of_continuousAt hf.continuousAt
#align specializes.map Specializes.map
theorem Inducing.specializes_iff (hf : Inducing f) : f x ⤳ f y ↔ x ⤳ y := by
simp only [specializes_iff_mem_closure, hf.closure_eq_preimage_closure_image, image_singleton,
mem_preimage]
#align inducing.specializes_iff Inducing.specializes_iff
theorem subtype_specializes_iff {p : X → Prop} (x y : Subtype p) : x ⤳ y ↔ (x : X) ⤳ y :=
inducing_subtype_val.specializes_iff.symm
#align subtype_specializes_iff subtype_specializes_iff
@[simp]
theorem specializes_prod {x₁ x₂ : X} {y₁ y₂ : Y} : (x₁, y₁) ⤳ (x₂, y₂) ↔ x₁ ⤳ x₂ ∧ y₁ ⤳ y₂ := by
simp only [Specializes, nhds_prod_eq, prod_le_prod]
#align specializes_prod specializes_prod
theorem Specializes.prod {x₁ x₂ : X} {y₁ y₂ : Y} (hx : x₁ ⤳ x₂) (hy : y₁ ⤳ y₂) :
(x₁, y₁) ⤳ (x₂, y₂) :=
specializes_prod.2 ⟨hx, hy⟩
#align specializes.prod Specializes.prod
theorem Specializes.fst {a b : X × Y} (h : a ⤳ b) : a.1 ⤳ b.1 := (specializes_prod.1 h).1
theorem Specializes.snd {a b : X × Y} (h : a ⤳ b) : a.2 ⤳ b.2 := (specializes_prod.1 h).2
@[simp]
theorem specializes_pi {f g : ∀ i, π i} : f ⤳ g ↔ ∀ i, f i ⤳ g i := by
simp only [Specializes, nhds_pi, pi_le_pi]
#align specializes_pi specializes_pi
theorem not_specializes_iff_exists_open : ¬x ⤳ y ↔ ∃ S : Set X, IsOpen S ∧ y ∈ S ∧ x ∉ S := by
rw [specializes_iff_forall_open]
push_neg
rfl
#align not_specializes_iff_exists_open not_specializes_iff_exists_open
theorem not_specializes_iff_exists_closed : ¬x ⤳ y ↔ ∃ S : Set X, IsClosed S ∧ x ∈ S ∧ y ∉ S := by
rw [specializes_iff_forall_closed]
push_neg
rfl
#align not_specializes_iff_exists_closed not_specializes_iff_exists_closed
theorem IsOpen.continuous_piecewise_of_specializes [DecidablePred (· ∈ s)] (hs : IsOpen s)
(hf : Continuous f) (hg : Continuous g) (hspec : ∀ x, f x ⤳ g x) :
Continuous (s.piecewise f g) := by
have : ∀ U, IsOpen U → g ⁻¹' U ⊆ f ⁻¹' U := fun U hU x hx ↦ (hspec x).mem_open hU hx
rw [continuous_def]
intro U hU
rw [piecewise_preimage, ite_eq_of_subset_right _ (this U hU)]
exact hU.preimage hf |>.inter hs |>.union (hU.preimage hg)
| Mathlib/Topology/Inseparable.lean | 227 | 230 | theorem IsClosed.continuous_piecewise_of_specializes [DecidablePred (· ∈ s)] (hs : IsClosed s)
(hf : Continuous f) (hg : Continuous g) (hspec : ∀ x, g x ⤳ f x) :
Continuous (s.piecewise f g) := by |
simpa only [piecewise_compl] using hs.isOpen_compl.continuous_piecewise_of_specializes hg hf hspec
|
import Mathlib.Order.PropInstances
#align_import order.heyting.basic from "leanprover-community/mathlib"@"9ac7c0c8c4d7a535ec3e5b34b8859aab9233b2f4"
open Function OrderDual
universe u
variable {ι α β : Type*}
section
variable (α β)
instance Prod.instHImp [HImp α] [HImp β] : HImp (α × β) :=
⟨fun a b => (a.1 ⇨ b.1, a.2 ⇨ b.2)⟩
instance Prod.instHNot [HNot α] [HNot β] : HNot (α × β) :=
⟨fun a => (￢a.1, ￢a.2)⟩
instance Prod.instSDiff [SDiff α] [SDiff β] : SDiff (α × β) :=
⟨fun a b => (a.1 \ b.1, a.2 \ b.2)⟩
instance Prod.instHasCompl [HasCompl α] [HasCompl β] : HasCompl (α × β) :=
⟨fun a => (a.1ᶜ, a.2ᶜ)⟩
end
@[simp]
theorem fst_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).1 = a.1 ⇨ b.1 :=
rfl
#align fst_himp fst_himp
@[simp]
theorem snd_himp [HImp α] [HImp β] (a b : α × β) : (a ⇨ b).2 = a.2 ⇨ b.2 :=
rfl
#align snd_himp snd_himp
@[simp]
theorem fst_hnot [HNot α] [HNot β] (a : α × β) : (￢a).1 = ￢a.1 :=
rfl
#align fst_hnot fst_hnot
@[simp]
theorem snd_hnot [HNot α] [HNot β] (a : α × β) : (￢a).2 = ￢a.2 :=
rfl
#align snd_hnot snd_hnot
@[simp]
theorem fst_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).1 = a.1 \ b.1 :=
rfl
#align fst_sdiff fst_sdiff
@[simp]
theorem snd_sdiff [SDiff α] [SDiff β] (a b : α × β) : (a \ b).2 = a.2 \ b.2 :=
rfl
#align snd_sdiff snd_sdiff
@[simp]
theorem fst_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.1 = a.1ᶜ :=
rfl
#align fst_compl fst_compl
@[simp]
theorem snd_compl [HasCompl α] [HasCompl β] (a : α × β) : aᶜ.2 = a.2ᶜ :=
rfl
#align snd_compl snd_compl
class GeneralizedHeytingAlgebra (α : Type*) extends Lattice α, OrderTop α, HImp α where
le_himp_iff (a b c : α) : a ≤ b ⇨ c ↔ a ⊓ b ≤ c
#align generalized_heyting_algebra GeneralizedHeytingAlgebra
#align generalized_heyting_algebra.to_order_top GeneralizedHeytingAlgebra.toOrderTop
class GeneralizedCoheytingAlgebra (α : Type*) extends Lattice α, OrderBot α, SDiff α where
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
#align generalized_coheyting_algebra GeneralizedCoheytingAlgebra
#align generalized_coheyting_algebra.to_order_bot GeneralizedCoheytingAlgebra.toOrderBot
class HeytingAlgebra (α : Type*) extends GeneralizedHeytingAlgebra α, OrderBot α, HasCompl α where
himp_bot (a : α) : a ⇨ ⊥ = aᶜ
#align heyting_algebra HeytingAlgebra
class CoheytingAlgebra (α : Type*) extends GeneralizedCoheytingAlgebra α, OrderTop α, HNot α where
top_sdiff (a : α) : ⊤ \ a = ￢a
#align coheyting_algebra CoheytingAlgebra
class BiheytingAlgebra (α : Type*) extends HeytingAlgebra α, SDiff α, HNot α where
sdiff_le_iff (a b c : α) : a \ b ≤ c ↔ a ≤ b ⊔ c
top_sdiff (a : α) : ⊤ \ a = ￢a
#align biheyting_algebra BiheytingAlgebra
-- See note [lower instance priority]
attribute [instance 100] GeneralizedHeytingAlgebra.toOrderTop
attribute [instance 100] GeneralizedCoheytingAlgebra.toOrderBot
-- See note [lower instance priority]
instance (priority := 100) HeytingAlgebra.toBoundedOrder [HeytingAlgebra α] : BoundedOrder α :=
{ bot_le := ‹HeytingAlgebra α›.bot_le }
--#align heyting_algebra.to_bounded_order HeytingAlgebra.toBoundedOrder
-- See note [lower instance priority]
instance (priority := 100) CoheytingAlgebra.toBoundedOrder [CoheytingAlgebra α] : BoundedOrder α :=
{ ‹CoheytingAlgebra α› with }
#align coheyting_algebra.to_bounded_order CoheytingAlgebra.toBoundedOrder
-- See note [lower instance priority]
instance (priority := 100) BiheytingAlgebra.toCoheytingAlgebra [BiheytingAlgebra α] :
CoheytingAlgebra α :=
{ ‹BiheytingAlgebra α› with }
#align biheyting_algebra.to_coheyting_algebra BiheytingAlgebra.toCoheytingAlgebra
-- See note [reducible non-instances]
abbrev HeytingAlgebra.ofHImp [DistribLattice α] [BoundedOrder α] (himp : α → α → α)
(le_himp_iff : ∀ a b c, a ≤ himp b c ↔ a ⊓ b ≤ c) : HeytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
himp,
compl := fun a => himp a ⊥,
le_himp_iff,
himp_bot := fun a => rfl }
#align heyting_algebra.of_himp HeytingAlgebra.ofHImp
-- See note [reducible non-instances]
abbrev HeytingAlgebra.ofCompl [DistribLattice α] [BoundedOrder α] (compl : α → α)
(le_himp_iff : ∀ a b c, a ≤ compl b ⊔ c ↔ a ⊓ b ≤ c) : HeytingAlgebra α where
himp := (compl · ⊔ ·)
compl := compl
le_himp_iff := le_himp_iff
himp_bot _ := sup_bot_eq _
#align heyting_algebra.of_compl HeytingAlgebra.ofCompl
-- See note [reducible non-instances]
abbrev CoheytingAlgebra.ofSDiff [DistribLattice α] [BoundedOrder α] (sdiff : α → α → α)
(sdiff_le_iff : ∀ a b c, sdiff a b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α :=
{ ‹DistribLattice α›, ‹BoundedOrder α› with
sdiff,
hnot := fun a => sdiff ⊤ a,
sdiff_le_iff,
top_sdiff := fun a => rfl }
#align coheyting_algebra.of_sdiff CoheytingAlgebra.ofSDiff
-- See note [reducible non-instances]
abbrev CoheytingAlgebra.ofHNot [DistribLattice α] [BoundedOrder α] (hnot : α → α)
(sdiff_le_iff : ∀ a b c, a ⊓ hnot b ≤ c ↔ a ≤ b ⊔ c) : CoheytingAlgebra α where
sdiff a b := a ⊓ hnot b
hnot := hnot
sdiff_le_iff := sdiff_le_iff
top_sdiff _ := top_inf_eq _
#align coheyting_algebra.of_hnot CoheytingAlgebra.ofHNot
section GeneralizedCoheytingAlgebra
variable [GeneralizedCoheytingAlgebra α] {a b c d : α}
@[simp]
theorem sdiff_le_iff : a \ b ≤ c ↔ a ≤ b ⊔ c :=
GeneralizedCoheytingAlgebra.sdiff_le_iff _ _ _
#align sdiff_le_iff sdiff_le_iff
theorem sdiff_le_iff' : a \ b ≤ c ↔ a ≤ c ⊔ b := by rw [sdiff_le_iff, sup_comm]
#align sdiff_le_iff' sdiff_le_iff'
theorem sdiff_le_comm : a \ b ≤ c ↔ a \ c ≤ b := by rw [sdiff_le_iff, sdiff_le_iff']
#align sdiff_le_comm sdiff_le_comm
theorem sdiff_le : a \ b ≤ a :=
sdiff_le_iff.2 le_sup_right
#align sdiff_le sdiff_le
theorem Disjoint.disjoint_sdiff_left (h : Disjoint a b) : Disjoint (a \ c) b :=
h.mono_left sdiff_le
#align disjoint.disjoint_sdiff_left Disjoint.disjoint_sdiff_left
theorem Disjoint.disjoint_sdiff_right (h : Disjoint a b) : Disjoint a (b \ c) :=
h.mono_right sdiff_le
#align disjoint.disjoint_sdiff_right Disjoint.disjoint_sdiff_right
theorem sdiff_le_iff_left : a \ b ≤ b ↔ a ≤ b := by rw [sdiff_le_iff, sup_idem]
#align sdiff_le_iff_left sdiff_le_iff_left
@[simp]
theorem sdiff_self : a \ a = ⊥ :=
le_bot_iff.1 <| sdiff_le_iff.2 le_sup_left
#align sdiff_self sdiff_self
theorem le_sup_sdiff : a ≤ b ⊔ a \ b :=
sdiff_le_iff.1 le_rfl
#align le_sup_sdiff le_sup_sdiff
theorem le_sdiff_sup : a ≤ a \ b ⊔ b := by rw [sup_comm, ← sdiff_le_iff]
#align le_sdiff_sup le_sdiff_sup
theorem sup_sdiff_left : a ⊔ a \ b = a :=
sup_of_le_left sdiff_le
#align sup_sdiff_left sup_sdiff_left
theorem sup_sdiff_right : a \ b ⊔ a = a :=
sup_of_le_right sdiff_le
#align sup_sdiff_right sup_sdiff_right
theorem inf_sdiff_left : a \ b ⊓ a = a \ b :=
inf_of_le_left sdiff_le
#align inf_sdiff_left inf_sdiff_left
theorem inf_sdiff_right : a ⊓ a \ b = a \ b :=
inf_of_le_right sdiff_le
#align inf_sdiff_right inf_sdiff_right
@[simp]
theorem sup_sdiff_self (a b : α) : a ⊔ b \ a = a ⊔ b :=
le_antisymm (sup_le_sup_left sdiff_le _) (sup_le le_sup_left le_sup_sdiff)
#align sup_sdiff_self sup_sdiff_self
@[simp]
| Mathlib/Order/Heyting/Basic.lean | 499 | 499 | theorem sdiff_sup_self (a b : α) : b \ a ⊔ a = b ⊔ a := by | rw [sup_comm, sup_sdiff_self, sup_comm]
|
import Mathlib.Data.Finset.Image
import Mathlib.Data.List.FinRange
#align_import data.fintype.basic from "leanprover-community/mathlib"@"d78597269638367c3863d40d45108f52207e03cf"
assert_not_exists MonoidWithZero
assert_not_exists MulAction
open Function
open Nat
universe u v
variable {α β γ : Type*}
class Fintype (α : Type*) where
elems : Finset α
complete : ∀ x : α, x ∈ elems
#align fintype Fintype
namespace Finset
variable [Fintype α] {s t : Finset α}
def univ : Finset α :=
@Fintype.elems α _
#align finset.univ Finset.univ
@[simp]
theorem mem_univ (x : α) : x ∈ (univ : Finset α) :=
Fintype.complete x
#align finset.mem_univ Finset.mem_univ
-- Porting note: removing @[simp], simp can prove it
theorem mem_univ_val : ∀ x, x ∈ (univ : Finset α).1 :=
mem_univ
#align finset.mem_univ_val Finset.mem_univ_val
theorem eq_univ_iff_forall : s = univ ↔ ∀ x, x ∈ s := by simp [ext_iff]
#align finset.eq_univ_iff_forall Finset.eq_univ_iff_forall
theorem eq_univ_of_forall : (∀ x, x ∈ s) → s = univ :=
eq_univ_iff_forall.2
#align finset.eq_univ_of_forall Finset.eq_univ_of_forall
@[simp, norm_cast]
theorem coe_univ : ↑(univ : Finset α) = (Set.univ : Set α) := by ext; simp
#align finset.coe_univ Finset.coe_univ
@[simp, norm_cast]
theorem coe_eq_univ : (s : Set α) = Set.univ ↔ s = univ := by rw [← coe_univ, coe_inj]
#align finset.coe_eq_univ Finset.coe_eq_univ
theorem Nonempty.eq_univ [Subsingleton α] : s.Nonempty → s = univ := by
rintro ⟨x, hx⟩
exact eq_univ_of_forall fun y => by rwa [Subsingleton.elim y x]
#align finset.nonempty.eq_univ Finset.Nonempty.eq_univ
theorem univ_nonempty_iff : (univ : Finset α).Nonempty ↔ Nonempty α := by
rw [← coe_nonempty, coe_univ, Set.nonempty_iff_univ_nonempty]
#align finset.univ_nonempty_iff Finset.univ_nonempty_iff
@[aesop unsafe apply (rule_sets := [finsetNonempty])]
theorem univ_nonempty [Nonempty α] : (univ : Finset α).Nonempty :=
univ_nonempty_iff.2 ‹_›
#align finset.univ_nonempty Finset.univ_nonempty
theorem univ_eq_empty_iff : (univ : Finset α) = ∅ ↔ IsEmpty α := by
rw [← not_nonempty_iff, ← univ_nonempty_iff, not_nonempty_iff_eq_empty]
#align finset.univ_eq_empty_iff Finset.univ_eq_empty_iff
@[simp]
theorem univ_eq_empty [IsEmpty α] : (univ : Finset α) = ∅ :=
univ_eq_empty_iff.2 ‹_›
#align finset.univ_eq_empty Finset.univ_eq_empty
@[simp]
theorem univ_unique [Unique α] : (univ : Finset α) = {default} :=
Finset.ext fun x => iff_of_true (mem_univ _) <| mem_singleton.2 <| Subsingleton.elim x default
#align finset.univ_unique Finset.univ_unique
@[simp]
theorem subset_univ (s : Finset α) : s ⊆ univ := fun a _ => mem_univ a
#align finset.subset_univ Finset.subset_univ
instance boundedOrder : BoundedOrder (Finset α) :=
{ inferInstanceAs (OrderBot (Finset α)) with
top := univ
le_top := subset_univ }
#align finset.bounded_order Finset.boundedOrder
@[simp]
theorem top_eq_univ : (⊤ : Finset α) = univ :=
rfl
#align finset.top_eq_univ Finset.top_eq_univ
theorem ssubset_univ_iff {s : Finset α} : s ⊂ univ ↔ s ≠ univ :=
@lt_top_iff_ne_top _ _ _ s
#align finset.ssubset_univ_iff Finset.ssubset_univ_iff
@[simp]
theorem univ_subset_iff {s : Finset α} : univ ⊆ s ↔ s = univ :=
@top_le_iff _ _ _ s
theorem codisjoint_left : Codisjoint s t ↔ ∀ ⦃a⦄, a ∉ s → a ∈ t := by
classical simp [codisjoint_iff, eq_univ_iff_forall, or_iff_not_imp_left]
#align finset.codisjoint_left Finset.codisjoint_left
theorem codisjoint_right : Codisjoint s t ↔ ∀ ⦃a⦄, a ∉ t → a ∈ s :=
Codisjoint_comm.trans codisjoint_left
#align finset.codisjoint_right Finset.codisjoint_right
section BooleanAlgebra
variable [DecidableEq α] {a : α}
instance booleanAlgebra : BooleanAlgebra (Finset α) :=
GeneralizedBooleanAlgebra.toBooleanAlgebra
#align finset.boolean_algebra Finset.booleanAlgebra
theorem sdiff_eq_inter_compl (s t : Finset α) : s \ t = s ∩ tᶜ :=
sdiff_eq
#align finset.sdiff_eq_inter_compl Finset.sdiff_eq_inter_compl
theorem compl_eq_univ_sdiff (s : Finset α) : sᶜ = univ \ s :=
rfl
#align finset.compl_eq_univ_sdiff Finset.compl_eq_univ_sdiff
@[simp]
theorem mem_compl : a ∈ sᶜ ↔ a ∉ s := by simp [compl_eq_univ_sdiff]
#align finset.mem_compl Finset.mem_compl
theorem not_mem_compl : a ∉ sᶜ ↔ a ∈ s := by rw [mem_compl, not_not]
#align finset.not_mem_compl Finset.not_mem_compl
@[simp, norm_cast]
theorem coe_compl (s : Finset α) : ↑sᶜ = (↑s : Set α)ᶜ :=
Set.ext fun _ => mem_compl
#align finset.coe_compl Finset.coe_compl
@[simp] lemma compl_subset_compl : sᶜ ⊆ tᶜ ↔ t ⊆ s := @compl_le_compl_iff_le (Finset α) _ _ _
@[simp] lemma compl_ssubset_compl : sᶜ ⊂ tᶜ ↔ t ⊂ s := @compl_lt_compl_iff_lt (Finset α) _ _ _
lemma subset_compl_comm : s ⊆ tᶜ ↔ t ⊆ sᶜ := le_compl_iff_le_compl (α := Finset α)
@[simp] lemma subset_compl_singleton : s ⊆ {a}ᶜ ↔ a ∉ s := by
rw [subset_compl_comm, singleton_subset_iff, mem_compl]
@[simp]
theorem compl_empty : (∅ : Finset α)ᶜ = univ :=
compl_bot
#align finset.compl_empty Finset.compl_empty
@[simp]
theorem compl_univ : (univ : Finset α)ᶜ = ∅ :=
compl_top
#align finset.compl_univ Finset.compl_univ
@[simp]
theorem compl_eq_empty_iff (s : Finset α) : sᶜ = ∅ ↔ s = univ :=
compl_eq_bot
#align finset.compl_eq_empty_iff Finset.compl_eq_empty_iff
@[simp]
theorem compl_eq_univ_iff (s : Finset α) : sᶜ = univ ↔ s = ∅ :=
compl_eq_top
#align finset.compl_eq_univ_iff Finset.compl_eq_univ_iff
@[simp]
theorem union_compl (s : Finset α) : s ∪ sᶜ = univ :=
sup_compl_eq_top
#align finset.union_compl Finset.union_compl
@[simp]
theorem inter_compl (s : Finset α) : s ∩ sᶜ = ∅ :=
inf_compl_eq_bot
#align finset.inter_compl Finset.inter_compl
@[simp]
theorem compl_union (s t : Finset α) : (s ∪ t)ᶜ = sᶜ ∩ tᶜ :=
compl_sup
#align finset.compl_union Finset.compl_union
@[simp]
theorem compl_inter (s t : Finset α) : (s ∩ t)ᶜ = sᶜ ∪ tᶜ :=
compl_inf
#align finset.compl_inter Finset.compl_inter
@[simp]
theorem compl_erase : (s.erase a)ᶜ = insert a sᶜ := by
ext
simp only [or_iff_not_imp_left, mem_insert, not_and, mem_compl, mem_erase]
#align finset.compl_erase Finset.compl_erase
@[simp]
theorem compl_insert : (insert a s)ᶜ = sᶜ.erase a := by
ext
simp only [not_or, mem_insert, iff_self_iff, mem_compl, mem_erase]
#align finset.compl_insert Finset.compl_insert
| Mathlib/Data/Fintype/Basic.lean | 246 | 247 | theorem insert_compl_insert (ha : a ∉ s) : insert a (insert a s)ᶜ = sᶜ := by |
simp_rw [compl_insert, insert_erase (mem_compl.2 ha)]
|
import Mathlib.RingTheory.WittVector.Basic
import Mathlib.RingTheory.WittVector.IsPoly
#align_import ring_theory.witt_vector.init_tail from "leanprover-community/mathlib"@"0798037604b2d91748f9b43925fb7570a5f3256c"
variable {p : ℕ} [hp : Fact p.Prime] (n : ℕ) {R : Type*} [CommRing R]
-- type as `\bbW`
local notation "𝕎" => WittVector p
namespace WittVector
open MvPolynomial
open scoped Classical
noncomputable section
section
def select (P : ℕ → Prop) (x : 𝕎 R) : 𝕎 R :=
mk p fun n => if P n then x.coeff n else 0
#align witt_vector.select WittVector.select
section Select
variable (P : ℕ → Prop)
def selectPoly (n : ℕ) : MvPolynomial ℕ ℤ :=
if P n then X n else 0
#align witt_vector.select_poly WittVector.selectPoly
| Mathlib/RingTheory/WittVector/InitTail.lean | 72 | 77 | theorem coeff_select (x : 𝕎 R) (n : ℕ) :
(select P x).coeff n = aeval x.coeff (selectPoly P n) := by |
dsimp [select, selectPoly]
split_ifs with hi
· rw [aeval_X, mk]; simp only [hi]; rfl
· rw [AlgHom.map_zero, mk]; simp only [hi]; rfl
|
import Mathlib.Data.Set.Pointwise.SMul
#align_import algebra.add_torsor from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
class AddTorsor (G : outParam Type*) (P : Type*) [AddGroup G] extends AddAction G P,
VSub G P where
[nonempty : Nonempty P]
vsub_vadd' : ∀ p₁ p₂ : P, (p₁ -ᵥ p₂ : G) +ᵥ p₂ = p₁
vadd_vsub' : ∀ (g : G) (p : P), g +ᵥ p -ᵥ p = g
#align add_torsor AddTorsor
-- Porting note(#12096): removed `nolint instance_priority`; lint not ported yet
attribute [instance 100] AddTorsor.nonempty
-- Porting note(#12094): removed nolint; dangerous_instance linter not ported yet
--attribute [nolint dangerous_instance] AddTorsor.toVSub
-- Porting note(#12096): linter not ported yet
--@[nolint instance_priority]
instance addGroupIsAddTorsor (G : Type*) [AddGroup G] : AddTorsor G G where
vsub := Sub.sub
vsub_vadd' := sub_add_cancel
vadd_vsub' := add_sub_cancel_right
#align add_group_is_add_torsor addGroupIsAddTorsor
@[simp]
theorem vsub_eq_sub {G : Type*} [AddGroup G] (g₁ g₂ : G) : g₁ -ᵥ g₂ = g₁ - g₂ :=
rfl
#align vsub_eq_sub vsub_eq_sub
section General
variable {G : Type*} {P : Type*} [AddGroup G] [T : AddTorsor G P]
@[simp]
theorem vsub_vadd (p₁ p₂ : P) : p₁ -ᵥ p₂ +ᵥ p₂ = p₁ :=
AddTorsor.vsub_vadd' p₁ p₂
#align vsub_vadd vsub_vadd
@[simp]
theorem vadd_vsub (g : G) (p : P) : g +ᵥ p -ᵥ p = g :=
AddTorsor.vadd_vsub' g p
#align vadd_vsub vadd_vsub
theorem vadd_right_cancel {g₁ g₂ : G} (p : P) (h : g₁ +ᵥ p = g₂ +ᵥ p) : g₁ = g₂ := by
-- Porting note: vadd_vsub g₁ → vadd_vsub g₁ p
rw [← vadd_vsub g₁ p, h, vadd_vsub]
#align vadd_right_cancel vadd_right_cancel
@[simp]
theorem vadd_right_cancel_iff {g₁ g₂ : G} (p : P) : g₁ +ᵥ p = g₂ +ᵥ p ↔ g₁ = g₂ :=
⟨vadd_right_cancel p, fun h => h ▸ rfl⟩
#align vadd_right_cancel_iff vadd_right_cancel_iff
theorem vadd_right_injective (p : P) : Function.Injective ((· +ᵥ p) : G → P) := fun _ _ =>
vadd_right_cancel p
#align vadd_right_injective vadd_right_injective
theorem vadd_vsub_assoc (g : G) (p₁ p₂ : P) : g +ᵥ p₁ -ᵥ p₂ = g + (p₁ -ᵥ p₂) := by
apply vadd_right_cancel p₂
rw [vsub_vadd, add_vadd, vsub_vadd]
#align vadd_vsub_assoc vadd_vsub_assoc
@[simp]
theorem vsub_self (p : P) : p -ᵥ p = (0 : G) := by
rw [← zero_add (p -ᵥ p), ← vadd_vsub_assoc, vadd_vsub]
#align vsub_self vsub_self
theorem eq_of_vsub_eq_zero {p₁ p₂ : P} (h : p₁ -ᵥ p₂ = (0 : G)) : p₁ = p₂ := by
rw [← vsub_vadd p₁ p₂, h, zero_vadd]
#align eq_of_vsub_eq_zero eq_of_vsub_eq_zero
@[simp]
theorem vsub_eq_zero_iff_eq {p₁ p₂ : P} : p₁ -ᵥ p₂ = (0 : G) ↔ p₁ = p₂ :=
Iff.intro eq_of_vsub_eq_zero fun h => h ▸ vsub_self _
#align vsub_eq_zero_iff_eq vsub_eq_zero_iff_eq
theorem vsub_ne_zero {p q : P} : p -ᵥ q ≠ (0 : G) ↔ p ≠ q :=
not_congr vsub_eq_zero_iff_eq
#align vsub_ne_zero vsub_ne_zero
@[simp]
theorem vsub_add_vsub_cancel (p₁ p₂ p₃ : P) : p₁ -ᵥ p₂ + (p₂ -ᵥ p₃) = p₁ -ᵥ p₃ := by
apply vadd_right_cancel p₃
rw [add_vadd, vsub_vadd, vsub_vadd, vsub_vadd]
#align vsub_add_vsub_cancel vsub_add_vsub_cancel
@[simp]
theorem neg_vsub_eq_vsub_rev (p₁ p₂ : P) : -(p₁ -ᵥ p₂) = p₂ -ᵥ p₁ := by
refine neg_eq_of_add_eq_zero_right (vadd_right_cancel p₁ ?_)
rw [vsub_add_vsub_cancel, vsub_self]
#align neg_vsub_eq_vsub_rev neg_vsub_eq_vsub_rev
theorem vadd_vsub_eq_sub_vsub (g : G) (p q : P) : g +ᵥ p -ᵥ q = g - (q -ᵥ p) := by
rw [vadd_vsub_assoc, sub_eq_add_neg, neg_vsub_eq_vsub_rev]
#align vadd_vsub_eq_sub_vsub vadd_vsub_eq_sub_vsub
theorem vsub_vadd_eq_vsub_sub (p₁ p₂ : P) (g : G) : p₁ -ᵥ (g +ᵥ p₂) = p₁ -ᵥ p₂ - g := by
rw [← add_right_inj (p₂ -ᵥ p₁ : G), vsub_add_vsub_cancel, ← neg_vsub_eq_vsub_rev, vadd_vsub, ←
add_sub_assoc, ← neg_vsub_eq_vsub_rev, neg_add_self, zero_sub]
#align vsub_vadd_eq_vsub_sub vsub_vadd_eq_vsub_sub
@[simp]
theorem vsub_sub_vsub_cancel_right (p₁ p₂ p₃ : P) : p₁ -ᵥ p₃ - (p₂ -ᵥ p₃) = p₁ -ᵥ p₂ := by
rw [← vsub_vadd_eq_vsub_sub, vsub_vadd]
#align vsub_sub_vsub_cancel_right vsub_sub_vsub_cancel_right
theorem eq_vadd_iff_vsub_eq (p₁ : P) (g : G) (p₂ : P) : p₁ = g +ᵥ p₂ ↔ p₁ -ᵥ p₂ = g :=
⟨fun h => h.symm ▸ vadd_vsub _ _, fun h => h ▸ (vsub_vadd _ _).symm⟩
#align eq_vadd_iff_vsub_eq eq_vadd_iff_vsub_eq
| Mathlib/Algebra/AddTorsor.lean | 183 | 185 | theorem vadd_eq_vadd_iff_neg_add_eq_vsub {v₁ v₂ : G} {p₁ p₂ : P} :
v₁ +ᵥ p₁ = v₂ +ᵥ p₂ ↔ -v₁ + v₂ = p₁ -ᵥ p₂ := by |
rw [eq_vadd_iff_vsub_eq, vadd_vsub_assoc, ← add_right_inj (-v₁), neg_add_cancel_left, eq_comm]
|
import Mathlib.Algebra.Order.Group.Nat
import Mathlib.Data.List.Rotate
import Mathlib.GroupTheory.Perm.Support
#align_import group_theory.perm.list from "leanprover-community/mathlib"@"9003f28797c0664a49e4179487267c494477d853"
namespace List
variable {α β : Type*}
section FormPerm
variable [DecidableEq α] (l : List α)
open Equiv Equiv.Perm
def formPerm : Equiv.Perm α :=
(zipWith Equiv.swap l l.tail).prod
#align list.form_perm List.formPerm
@[simp]
theorem formPerm_nil : formPerm ([] : List α) = 1 :=
rfl
#align list.form_perm_nil List.formPerm_nil
@[simp]
theorem formPerm_singleton (x : α) : formPerm [x] = 1 :=
rfl
#align list.form_perm_singleton List.formPerm_singleton
@[simp]
theorem formPerm_cons_cons (x y : α) (l : List α) :
formPerm (x :: y :: l) = swap x y * formPerm (y :: l) :=
prod_cons
#align list.form_perm_cons_cons List.formPerm_cons_cons
theorem formPerm_pair (x y : α) : formPerm [x, y] = swap x y :=
rfl
#align list.form_perm_pair List.formPerm_pair
theorem mem_or_mem_of_zipWith_swap_prod_ne : ∀ {l l' : List α} {x : α},
(zipWith swap l l').prod x ≠ x → x ∈ l ∨ x ∈ l'
| [], _, _ => by simp
| _, [], _ => by simp
| a::l, b::l', x => fun hx ↦
if h : (zipWith swap l l').prod x = x then
(eq_or_eq_of_swap_apply_ne_self (by simpa [h] using hx)).imp
(by rintro rfl; exact .head _) (by rintro rfl; exact .head _)
else
(mem_or_mem_of_zipWith_swap_prod_ne h).imp (.tail _) (.tail _)
theorem zipWith_swap_prod_support' (l l' : List α) :
{ x | (zipWith swap l l').prod x ≠ x } ≤ l.toFinset ⊔ l'.toFinset := fun _ h ↦ by
simpa using mem_or_mem_of_zipWith_swap_prod_ne h
#align list.zip_with_swap_prod_support' List.zipWith_swap_prod_support'
theorem zipWith_swap_prod_support [Fintype α] (l l' : List α) :
(zipWith swap l l').prod.support ≤ l.toFinset ⊔ l'.toFinset := by
intro x hx
have hx' : x ∈ { x | (zipWith swap l l').prod x ≠ x } := by simpa using hx
simpa using zipWith_swap_prod_support' _ _ hx'
#align list.zip_with_swap_prod_support List.zipWith_swap_prod_support
theorem support_formPerm_le' : { x | formPerm l x ≠ x } ≤ l.toFinset := by
refine (zipWith_swap_prod_support' l l.tail).trans ?_
simpa [Finset.subset_iff] using tail_subset l
#align list.support_form_perm_le' List.support_formPerm_le'
theorem support_formPerm_le [Fintype α] : support (formPerm l) ≤ l.toFinset := by
intro x hx
have hx' : x ∈ { x | formPerm l x ≠ x } := by simpa using hx
simpa using support_formPerm_le' _ hx'
#align list.support_form_perm_le List.support_formPerm_le
variable {l} {x : α}
theorem mem_of_formPerm_apply_ne (h : l.formPerm x ≠ x) : x ∈ l := by
simpa [or_iff_left_of_imp mem_of_mem_tail] using mem_or_mem_of_zipWith_swap_prod_ne h
#align list.mem_of_form_perm_apply_ne List.mem_of_formPerm_apply_ne
theorem formPerm_apply_of_not_mem (h : x ∉ l) : formPerm l x = x :=
not_imp_comm.1 mem_of_formPerm_apply_ne h
#align list.form_perm_apply_of_not_mem List.formPerm_apply_of_not_mem
theorem formPerm_apply_mem_of_mem (h : x ∈ l) : formPerm l x ∈ l := by
cases' l with y l
· simp at h
induction' l with z l IH generalizing x y
· simpa using h
· by_cases hx : x ∈ z :: l
· rw [formPerm_cons_cons, mul_apply, swap_apply_def]
split_ifs
· simp [IH _ hx]
· simp
· simp [*]
· replace h : x = y := Or.resolve_right (mem_cons.1 h) hx
simp [formPerm_apply_of_not_mem hx, ← h]
#align list.form_perm_apply_mem_of_mem List.formPerm_apply_mem_of_mem
theorem mem_of_formPerm_apply_mem (h : l.formPerm x ∈ l) : x ∈ l := by
contrapose h
rwa [formPerm_apply_of_not_mem h]
#align list.mem_of_form_perm_apply_mem List.mem_of_formPerm_apply_mem
@[simp]
theorem formPerm_mem_iff_mem : l.formPerm x ∈ l ↔ x ∈ l :=
⟨l.mem_of_formPerm_apply_mem, l.formPerm_apply_mem_of_mem⟩
#align list.form_perm_mem_iff_mem List.formPerm_mem_iff_mem
@[simp]
theorem formPerm_cons_concat_apply_last (x y : α) (xs : List α) :
formPerm (x :: (xs ++ [y])) y = x := by
induction' xs with z xs IH generalizing x y
· simp
· simp [IH]
#align list.form_perm_cons_concat_apply_last List.formPerm_cons_concat_apply_last
@[simp]
theorem formPerm_apply_getLast (x : α) (xs : List α) :
formPerm (x :: xs) ((x :: xs).getLast (cons_ne_nil x xs)) = x := by
induction' xs using List.reverseRecOn with xs y _ generalizing x <;> simp
#align list.form_perm_apply_last List.formPerm_apply_getLast
@[simp]
theorem formPerm_apply_get_length (x : α) (xs : List α) :
formPerm (x :: xs) ((x :: xs).get (Fin.mk xs.length (by simp))) = x := by
rw [get_cons_length, formPerm_apply_getLast]; rfl;
set_option linter.deprecated false in
@[simp, deprecated formPerm_apply_get_length (since := "2024-05-30")]
theorem formPerm_apply_nthLe_length (x : α) (xs : List α) :
formPerm (x :: xs) ((x :: xs).nthLe xs.length (by simp)) = x := by
apply formPerm_apply_get_length
#align list.form_perm_apply_nth_le_length List.formPerm_apply_nthLe_length
theorem formPerm_apply_head (x y : α) (xs : List α) (h : Nodup (x :: y :: xs)) :
formPerm (x :: y :: xs) x = y := by simp [formPerm_apply_of_not_mem h.not_mem]
#align list.form_perm_apply_head List.formPerm_apply_head
theorem formPerm_apply_get_zero (l : List α) (h : Nodup l) (hl : 1 < l.length) :
formPerm l (l.get (Fin.mk 0 (by omega))) = l.get (Fin.mk 1 hl) := by
rcases l with (_ | ⟨x, _ | ⟨y, tl⟩⟩)
· simp at hl
· rw [get, get_singleton]; rfl;
· rw [get, formPerm_apply_head, get, get]
exact h
set_option linter.deprecated false in
@[deprecated formPerm_apply_get_zero (since := "2024-05-30")]
theorem formPerm_apply_nthLe_zero (l : List α) (h : Nodup l) (hl : 1 < l.length) :
formPerm l (l.nthLe 0 (by omega)) = l.nthLe 1 hl := by
apply formPerm_apply_get_zero _ h
#align list.form_perm_apply_nth_le_zero List.formPerm_apply_nthLe_zero
variable (l)
theorem formPerm_eq_head_iff_eq_getLast (x y : α) :
formPerm (y :: l) x = y ↔ x = getLast (y :: l) (cons_ne_nil _ _) :=
Iff.trans (by rw [formPerm_apply_getLast]) (formPerm (y :: l)).injective.eq_iff
#align list.form_perm_eq_head_iff_eq_last List.formPerm_eq_head_iff_eq_getLast
theorem formPerm_apply_lt_get (xs : List α) (h : Nodup xs) (n : ℕ) (hn : n + 1 < xs.length) :
formPerm xs (xs.get (Fin.mk n ((Nat.lt_succ_self n).trans hn))) =
xs.get (Fin.mk (n + 1) hn) := by
induction' n with n IH generalizing xs
· simpa using formPerm_apply_get_zero _ h _
· rcases xs with (_ | ⟨x, _ | ⟨y, l⟩⟩)
· simp at hn
· rw [formPerm_singleton, get_singleton, get_singleton]
rfl;
· specialize IH (y :: l) h.of_cons _
· simpa [Nat.succ_lt_succ_iff] using hn
simp only [swap_apply_eq_iff, coe_mul, formPerm_cons_cons, Function.comp]
simp only [get_cons_succ] at *
rw [← IH, swap_apply_of_ne_of_ne] <;>
· intro hx
rw [← hx, IH] at h
simp [get_mem] at h
set_option linter.deprecated false in
@[deprecated formPerm_apply_lt_get (since := "2024-05-30")]
theorem formPerm_apply_lt (xs : List α) (h : Nodup xs) (n : ℕ) (hn : n + 1 < xs.length) :
formPerm xs (xs.nthLe n ((Nat.lt_succ_self n).trans hn)) = xs.nthLe (n + 1) hn := by
apply formPerm_apply_lt_get _ h
#align list.form_perm_apply_lt List.formPerm_apply_lt
theorem formPerm_apply_get (xs : List α) (h : Nodup xs) (i : Fin xs.length) :
formPerm xs (xs.get i) =
xs.get ⟨((i.val + 1) % xs.length), (Nat.mod_lt _ (i.val.zero_le.trans_lt i.isLt))⟩ := by
let ⟨n, hn⟩ := i
cases' xs with x xs
· simp at hn
· have : n ≤ xs.length := by
refine Nat.le_of_lt_succ ?_
simpa using hn
rcases this.eq_or_lt with (rfl | hn')
· simp
· rw [formPerm_apply_lt_get (x :: xs) h _ (Nat.succ_lt_succ hn')]
congr
rw [Nat.mod_eq_of_lt]; simpa [Nat.succ_eq_add_one]
set_option linter.deprecated false in
@[deprecated formPerm_apply_get (since := "2024-04-23")]
theorem formPerm_apply_nthLe (xs : List α) (h : Nodup xs) (n : ℕ) (hn : n < xs.length) :
formPerm xs (xs.nthLe n hn) =
xs.nthLe ((n + 1) % xs.length) (Nat.mod_lt _ (n.zero_le.trans_lt hn)) := by
apply formPerm_apply_get _ h
#align list.form_perm_apply_nth_le List.formPerm_apply_nthLe
theorem support_formPerm_of_nodup' (l : List α) (h : Nodup l) (h' : ∀ x : α, l ≠ [x]) :
{ x | formPerm l x ≠ x } = l.toFinset := by
apply _root_.le_antisymm
· exact support_formPerm_le' l
· intro x hx
simp only [Finset.mem_coe, mem_toFinset] at hx
obtain ⟨⟨n, hn⟩, rfl⟩ := get_of_mem hx
rw [Set.mem_setOf_eq, formPerm_apply_get _ h]
intro H
rw [nodup_iff_injective_get, Function.Injective] at h
specialize h H
rcases (Nat.succ_le_of_lt hn).eq_or_lt with hn' | hn'
· simp only [← hn', Nat.mod_self] at h
refine' not_exists.mpr h' _
rw [← length_eq_one, ← hn', (Fin.mk.inj_iff.mp h).symm]
· simp [Nat.mod_eq_of_lt hn'] at h
#align list.support_form_perm_of_nodup' List.support_formPerm_of_nodup'
theorem support_formPerm_of_nodup [Fintype α] (l : List α) (h : Nodup l) (h' : ∀ x : α, l ≠ [x]) :
support (formPerm l) = l.toFinset := by
rw [← Finset.coe_inj]
convert support_formPerm_of_nodup' _ h h'
simp [Set.ext_iff]
#align list.support_form_perm_of_nodup List.support_formPerm_of_nodup
theorem formPerm_rotate_one (l : List α) (h : Nodup l) : formPerm (l.rotate 1) = formPerm l := by
have h' : Nodup (l.rotate 1) := by simpa using h
ext x
by_cases hx : x ∈ l.rotate 1
· obtain ⟨⟨k, hk⟩, rfl⟩ := get_of_mem hx
rw [formPerm_apply_get _ h', get_rotate l, get_rotate l, formPerm_apply_get _ h]
simp
· rw [formPerm_apply_of_not_mem hx, formPerm_apply_of_not_mem]
simpa using hx
#align list.form_perm_rotate_one List.formPerm_rotate_one
theorem formPerm_rotate (l : List α) (h : Nodup l) (n : ℕ) :
formPerm (l.rotate n) = formPerm l := by
induction' n with n hn
· simp
· rw [← rotate_rotate, formPerm_rotate_one, hn]
rwa [IsRotated.nodup_iff]
exact IsRotated.forall l n
#align list.form_perm_rotate List.formPerm_rotate
theorem formPerm_eq_of_isRotated {l l' : List α} (hd : Nodup l) (h : l ~r l') :
formPerm l = formPerm l' := by
obtain ⟨n, rfl⟩ := h
exact (formPerm_rotate l hd n).symm
#align list.form_perm_eq_of_is_rotated List.formPerm_eq_of_isRotated
theorem formPerm_append_pair : ∀ (l : List α) (a b : α),
formPerm (l ++ [a, b]) = formPerm (l ++ [a]) * swap a b
| [], _, _ => rfl
| [x], _, _ => rfl
| x::y::l, a, b => by
simpa [mul_assoc] using formPerm_append_pair (y::l) a b
theorem formPerm_reverse : ∀ l : List α, formPerm l.reverse = (formPerm l)⁻¹
| [] => rfl
| [_] => rfl
| a::b::l => by
simp [formPerm_append_pair, swap_comm, ← formPerm_reverse (b::l)]
#align list.form_perm_reverse List.formPerm_reverse
theorem formPerm_pow_apply_get (l : List α) (h : Nodup l) (n : ℕ) (i : Fin l.length) :
(formPerm l ^ n) (l.get i) =
l.get ⟨((i.val + n) % l.length), (Nat.mod_lt _ (i.val.zero_le.trans_lt i.isLt))⟩ := by
induction' n with n hn
· simp [Nat.mod_eq_of_lt i.isLt]
· simp [pow_succ', mul_apply, hn, formPerm_apply_get _ h, Nat.succ_eq_add_one, ← Nat.add_assoc]
set_option linter.deprecated false in
@[deprecated formPerm_pow_apply_get (since := "2024-04-23")]
theorem formPerm_pow_apply_nthLe (l : List α) (h : Nodup l) (n k : ℕ) (hk : k < l.length) :
(formPerm l ^ n) (l.nthLe k hk) =
l.nthLe ((k + n) % l.length) (Nat.mod_lt _ (k.zero_le.trans_lt hk)) :=
formPerm_pow_apply_get l h n ⟨k, hk⟩
#align list.form_perm_pow_apply_nth_le List.formPerm_pow_apply_nthLe
theorem formPerm_pow_apply_head (x : α) (l : List α) (h : Nodup (x :: l)) (n : ℕ) :
(formPerm (x :: l) ^ n) x =
(x :: l).get ⟨(n % (x :: l).length), (Nat.mod_lt _ (Nat.zero_lt_succ _))⟩ := by
convert formPerm_pow_apply_get _ h n ⟨0, Nat.succ_pos _⟩
simp
#align list.form_perm_pow_apply_head List.formPerm_pow_apply_head
theorem formPerm_ext_iff {x y x' y' : α} {l l' : List α} (hd : Nodup (x :: y :: l))
(hd' : Nodup (x' :: y' :: l')) :
formPerm (x :: y :: l) = formPerm (x' :: y' :: l') ↔ (x :: y :: l) ~r (x' :: y' :: l') := by
refine ⟨fun h => ?_, fun hr => formPerm_eq_of_isRotated hd hr⟩
rw [Equiv.Perm.ext_iff] at h
have hx : x' ∈ x :: y :: l := by
have : x' ∈ { z | formPerm (x :: y :: l) z ≠ z } := by
rw [Set.mem_setOf_eq, h x', formPerm_apply_head _ _ _ hd']
simp only [mem_cons, nodup_cons] at hd'
push_neg at hd'
exact hd'.left.left.symm
simpa using support_formPerm_le' _ this
obtain ⟨⟨n, hn⟩, hx'⟩ := get_of_mem hx
have hl : (x :: y :: l).length = (x' :: y' :: l').length := by
rw [← dedup_eq_self.mpr hd, ← dedup_eq_self.mpr hd', ← card_toFinset, ← card_toFinset]
refine congr_arg Finset.card ?_
rw [← Finset.coe_inj, ← support_formPerm_of_nodup' _ hd (by simp), ←
support_formPerm_of_nodup' _ hd' (by simp)]
simp only [h]
use n
apply List.ext_get
· rw [length_rotate, hl]
· intro k hk hk'
rw [get_rotate]
induction' k with k IH
· refine Eq.trans ?_ hx'
congr
simpa using hn
· conv => congr <;> · arg 2; (congr; (simp only [Fin.val_mk]; rw [← Nat.mod_eq_of_lt hk']))
rw [← formPerm_apply_get _ hd' ⟨k, k.lt_succ_self.trans hk'⟩,
← IH (k.lt_succ_self.trans hk), ← h, formPerm_apply_get _ hd]
congr 2
simp only [Fin.val_mk]
rw [hl, Nat.mod_eq_of_lt hk', add_right_comm]
apply Nat.add_mod
#align list.form_perm_ext_iff List.formPerm_ext_iff
theorem formPerm_apply_mem_eq_self_iff (hl : Nodup l) (x : α) (hx : x ∈ l) :
formPerm l x = x ↔ length l ≤ 1 := by
obtain ⟨⟨k, hk⟩, rfl⟩ := get_of_mem hx
rw [formPerm_apply_get _ hl ⟨k, hk⟩, hl.get_inj_iff, Fin.mk.inj_iff]
simp only [Fin.val_mk]
cases hn : l.length
· exact absurd k.zero_le (hk.trans_le hn.le).not_le
· rw [hn] at hk
rcases (Nat.le_of_lt_succ hk).eq_or_lt with hk' | hk'
· simp [← hk', Nat.succ_le_succ_iff, eq_comm]
· simpa [Nat.mod_eq_of_lt (Nat.succ_lt_succ hk'), Nat.succ_lt_succ_iff] using
(k.zero_le.trans_lt hk').ne.symm
#align list.form_perm_apply_mem_eq_self_iff List.formPerm_apply_mem_eq_self_iff
theorem formPerm_apply_mem_ne_self_iff (hl : Nodup l) (x : α) (hx : x ∈ l) :
formPerm l x ≠ x ↔ 2 ≤ l.length := by
rw [Ne, formPerm_apply_mem_eq_self_iff _ hl x hx, not_le]
exact ⟨Nat.succ_le_of_lt, Nat.lt_of_succ_le⟩
#align list.form_perm_apply_mem_ne_self_iff List.formPerm_apply_mem_ne_self_iff
theorem mem_of_formPerm_ne_self (l : List α) (x : α) (h : formPerm l x ≠ x) : x ∈ l := by
suffices x ∈ { y | formPerm l y ≠ y } by
rw [← mem_toFinset]
exact support_formPerm_le' _ this
simpa using h
#align list.mem_of_form_perm_ne_self List.mem_of_formPerm_ne_self
theorem formPerm_eq_self_of_not_mem (l : List α) (x : α) (h : x ∉ l) : formPerm l x = x :=
by_contra fun H => h <| mem_of_formPerm_ne_self _ _ H
#align list.form_perm_eq_self_of_not_mem List.formPerm_eq_self_of_not_mem
theorem formPerm_eq_one_iff (hl : Nodup l) : formPerm l = 1 ↔ l.length ≤ 1 := by
cases' l with hd tl
· simp
· rw [← formPerm_apply_mem_eq_self_iff _ hl hd (mem_cons_self _ _)]
constructor
· simp (config := { contextual := true })
· intro h
simp only [(hd :: tl).formPerm_apply_mem_eq_self_iff hl hd (mem_cons_self hd tl),
add_le_iff_nonpos_left, length, nonpos_iff_eq_zero, length_eq_zero] at h
simp [h]
#align list.form_perm_eq_one_iff List.formPerm_eq_one_iff
theorem formPerm_eq_formPerm_iff {l l' : List α} (hl : l.Nodup) (hl' : l'.Nodup) :
l.formPerm = l'.formPerm ↔ l ~r l' ∨ l.length ≤ 1 ∧ l'.length ≤ 1 := by
rcases l with (_ | ⟨x, _ | ⟨y, l⟩⟩)
· suffices l'.length ≤ 1 ↔ l' = nil ∨ l'.length ≤ 1 by
simpa [eq_comm, formPerm_eq_one_iff, hl, hl', length_eq_zero]
refine ⟨fun h => Or.inr h, ?_⟩
rintro (rfl | h)
· simp
· exact h
· suffices l'.length ≤ 1 ↔ [x] ~r l' ∨ l'.length ≤ 1 by
simpa [eq_comm, formPerm_eq_one_iff, hl, hl', length_eq_zero, le_rfl]
refine ⟨fun h => Or.inr h, ?_⟩
rintro (h | h)
· simp [← h.perm.length_eq]
· exact h
· rcases l' with (_ | ⟨x', _ | ⟨y', l'⟩⟩)
· simp [formPerm_eq_one_iff _ hl, -formPerm_cons_cons]
· simp [formPerm_eq_one_iff _ hl, -formPerm_cons_cons]
· simp [-formPerm_cons_cons, formPerm_ext_iff hl hl', Nat.succ_le_succ_iff]
#align list.form_perm_eq_form_perm_iff List.formPerm_eq_formPerm_iff
| Mathlib/GroupTheory/Perm/List.lean | 429 | 436 | theorem form_perm_zpow_apply_mem_imp_mem (l : List α) (x : α) (hx : x ∈ l) (n : ℤ) :
(formPerm l ^ n) x ∈ l := by |
by_cases h : (l.formPerm ^ n) x = x
· simpa [h] using hx
· have h : x ∈ { x | (l.formPerm ^ n) x ≠ x } := h
rw [← set_support_apply_mem] at h
replace h := set_support_zpow_subset _ _ h
simpa using support_formPerm_le' _ h
|
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Group.Int
import Mathlib.Data.Nat.Dist
import Mathlib.Data.Ordmap.Ordnode
import Mathlib.Tactic.Abel
import Mathlib.Tactic.Linarith
#align_import data.ordmap.ordset from "leanprover-community/mathlib"@"47b51515e69f59bca5cf34ef456e6000fe205a69"
variable {α : Type*}
namespace Ordnode
theorem not_le_delta {s} (H : 1 ≤ s) : ¬s ≤ delta * 0 :=
not_le_of_gt H
#align ordnode.not_le_delta Ordnode.not_le_delta
theorem delta_lt_false {a b : ℕ} (h₁ : delta * a < b) (h₂ : delta * b < a) : False :=
not_le_of_lt (lt_trans ((mul_lt_mul_left (by decide)).2 h₁) h₂) <| by
simpa [mul_assoc] using Nat.mul_le_mul_right a (by decide : 1 ≤ delta * delta)
#align ordnode.delta_lt_false Ordnode.delta_lt_false
def realSize : Ordnode α → ℕ
| nil => 0
| node _ l _ r => realSize l + realSize r + 1
#align ordnode.real_size Ordnode.realSize
def Sized : Ordnode α → Prop
| nil => True
| node s l _ r => s = size l + size r + 1 ∧ Sized l ∧ Sized r
#align ordnode.sized Ordnode.Sized
theorem Sized.node' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (node' l x r) :=
⟨rfl, hl, hr⟩
#align ordnode.sized.node' Ordnode.Sized.node'
theorem Sized.eq_node' {s l x r} (h : @Sized α (node s l x r)) : node s l x r = .node' l x r := by
rw [h.1]
#align ordnode.sized.eq_node' Ordnode.Sized.eq_node'
theorem Sized.size_eq {s l x r} (H : Sized (@node α s l x r)) :
size (@node α s l x r) = size l + size r + 1 :=
H.1
#align ordnode.sized.size_eq Ordnode.Sized.size_eq
@[elab_as_elim]
theorem Sized.induction {t} (hl : @Sized α t) {C : Ordnode α → Prop} (H0 : C nil)
(H1 : ∀ l x r, C l → C r → C (.node' l x r)) : C t := by
induction t with
| nil => exact H0
| node _ _ _ _ t_ih_l t_ih_r =>
rw [hl.eq_node']
exact H1 _ _ _ (t_ih_l hl.2.1) (t_ih_r hl.2.2)
#align ordnode.sized.induction Ordnode.Sized.induction
theorem size_eq_realSize : ∀ {t : Ordnode α}, Sized t → size t = realSize t
| nil, _ => rfl
| node s l x r, ⟨h₁, h₂, h₃⟩ => by
rw [size, h₁, size_eq_realSize h₂, size_eq_realSize h₃]; rfl
#align ordnode.size_eq_real_size Ordnode.size_eq_realSize
@[simp]
theorem Sized.size_eq_zero {t : Ordnode α} (ht : Sized t) : size t = 0 ↔ t = nil := by
cases t <;> [simp;simp [ht.1]]
#align ordnode.sized.size_eq_zero Ordnode.Sized.size_eq_zero
theorem Sized.pos {s l x r} (h : Sized (@node α s l x r)) : 0 < s := by
rw [h.1]; apply Nat.le_add_left
#align ordnode.sized.pos Ordnode.Sized.pos
theorem dual_dual : ∀ t : Ordnode α, dual (dual t) = t
| nil => rfl
| node s l x r => by rw [dual, dual, dual_dual l, dual_dual r]
#align ordnode.dual_dual Ordnode.dual_dual
@[simp]
theorem size_dual (t : Ordnode α) : size (dual t) = size t := by cases t <;> rfl
#align ordnode.size_dual Ordnode.size_dual
def BalancedSz (l r : ℕ) : Prop :=
l + r ≤ 1 ∨ l ≤ delta * r ∧ r ≤ delta * l
#align ordnode.balanced_sz Ordnode.BalancedSz
instance BalancedSz.dec : DecidableRel BalancedSz := fun _ _ => Or.decidable
#align ordnode.balanced_sz.dec Ordnode.BalancedSz.dec
def Balanced : Ordnode α → Prop
| nil => True
| node _ l _ r => BalancedSz (size l) (size r) ∧ Balanced l ∧ Balanced r
#align ordnode.balanced Ordnode.Balanced
instance Balanced.dec : DecidablePred (@Balanced α)
| nil => by
unfold Balanced
infer_instance
| node _ l _ r => by
unfold Balanced
haveI := Balanced.dec l
haveI := Balanced.dec r
infer_instance
#align ordnode.balanced.dec Ordnode.Balanced.dec
@[symm]
theorem BalancedSz.symm {l r : ℕ} : BalancedSz l r → BalancedSz r l :=
Or.imp (by rw [add_comm]; exact id) And.symm
#align ordnode.balanced_sz.symm Ordnode.BalancedSz.symm
theorem balancedSz_zero {l : ℕ} : BalancedSz l 0 ↔ l ≤ 1 := by
simp (config := { contextual := true }) [BalancedSz]
#align ordnode.balanced_sz_zero Ordnode.balancedSz_zero
theorem balancedSz_up {l r₁ r₂ : ℕ} (h₁ : r₁ ≤ r₂) (h₂ : l + r₂ ≤ 1 ∨ r₂ ≤ delta * l)
(H : BalancedSz l r₁) : BalancedSz l r₂ := by
refine or_iff_not_imp_left.2 fun h => ?_
refine ⟨?_, h₂.resolve_left h⟩
cases H with
| inl H =>
cases r₂
· cases h (le_trans (Nat.add_le_add_left (Nat.zero_le _) _) H)
· exact le_trans (le_trans (Nat.le_add_right _ _) H) (Nat.le_add_left 1 _)
| inr H =>
exact le_trans H.1 (Nat.mul_le_mul_left _ h₁)
#align ordnode.balanced_sz_up Ordnode.balancedSz_up
theorem balancedSz_down {l r₁ r₂ : ℕ} (h₁ : r₁ ≤ r₂) (h₂ : l + r₂ ≤ 1 ∨ l ≤ delta * r₁)
(H : BalancedSz l r₂) : BalancedSz l r₁ :=
have : l + r₂ ≤ 1 → BalancedSz l r₁ := fun H => Or.inl (le_trans (Nat.add_le_add_left h₁ _) H)
Or.casesOn H this fun H => Or.casesOn h₂ this fun h₂ => Or.inr ⟨h₂, le_trans h₁ H.2⟩
#align ordnode.balanced_sz_down Ordnode.balancedSz_down
theorem Balanced.dual : ∀ {t : Ordnode α}, Balanced t → Balanced (dual t)
| nil, _ => ⟨⟩
| node _ l _ r, ⟨b, bl, br⟩ => ⟨by rw [size_dual, size_dual]; exact b.symm, br.dual, bl.dual⟩
#align ordnode.balanced.dual Ordnode.Balanced.dual
def node3L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : Ordnode α :=
node' (node' l x m) y r
#align ordnode.node3_l Ordnode.node3L
def node3R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : Ordnode α :=
node' l x (node' m y r)
#align ordnode.node3_r Ordnode.node3R
def node4L : Ordnode α → α → Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ ml y mr, z, r => node' (node' l x ml) y (node' mr z r)
| l, x, nil, z, r => node3L l x nil z r
#align ordnode.node4_l Ordnode.node4L
-- should not happen
def node4R : Ordnode α → α → Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ ml y mr, z, r => node' (node' l x ml) y (node' mr z r)
| l, x, nil, z, r => node3R l x nil z r
#align ordnode.node4_r Ordnode.node4R
-- should not happen
def rotateL : Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ m y r => if size m < ratio * size r then node3L l x m y r else node4L l x m y r
| l, x, nil => node' l x nil
#align ordnode.rotate_l Ordnode.rotateL
-- Porting note (#11467): during the port we marked these lemmas with `@[eqns]`
-- to emulate the old Lean 3 behaviour.
theorem rotateL_node (l : Ordnode α) (x : α) (sz : ℕ) (m : Ordnode α) (y : α) (r : Ordnode α) :
rotateL l x (node sz m y r) =
if size m < ratio * size r then node3L l x m y r else node4L l x m y r :=
rfl
theorem rotateL_nil (l : Ordnode α) (x : α) : rotateL l x nil = node' l x nil :=
rfl
-- should not happen
def rotateR : Ordnode α → α → Ordnode α → Ordnode α
| node _ l x m, y, r => if size m < ratio * size l then node3R l x m y r else node4R l x m y r
| nil, y, r => node' nil y r
#align ordnode.rotate_r Ordnode.rotateR
-- Porting note (#11467): during the port we marked these lemmas with `@[eqns]`
-- to emulate the old Lean 3 behaviour.
theorem rotateR_node (sz : ℕ) (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
rotateR (node sz l x m) y r =
if size m < ratio * size l then node3R l x m y r else node4R l x m y r :=
rfl
theorem rotateR_nil (y : α) (r : Ordnode α) : rotateR nil y r = node' nil y r :=
rfl
-- should not happen
def balanceL' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else if size l > delta * size r then rotateR l x r else node' l x r
#align ordnode.balance_l' Ordnode.balanceL'
def balanceR' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else if size r > delta * size l then rotateL l x r else node' l x r
#align ordnode.balance_r' Ordnode.balanceR'
def balance' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else
if size r > delta * size l then rotateL l x r
else if size l > delta * size r then rotateR l x r else node' l x r
#align ordnode.balance' Ordnode.balance'
theorem dual_node' (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (node' l x r) = node' (dual r) x (dual l) := by simp [node', add_comm]
#align ordnode.dual_node' Ordnode.dual_node'
theorem dual_node3L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node3L l x m y r) = node3R (dual r) y (dual m) x (dual l) := by
simp [node3L, node3R, dual_node', add_comm]
#align ordnode.dual_node3_l Ordnode.dual_node3L
theorem dual_node3R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node3R l x m y r) = node3L (dual r) y (dual m) x (dual l) := by
simp [node3L, node3R, dual_node', add_comm]
#align ordnode.dual_node3_r Ordnode.dual_node3R
theorem dual_node4L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node4L l x m y r) = node4R (dual r) y (dual m) x (dual l) := by
cases m <;> simp [node4L, node4R, node3R, dual_node3L, dual_node', add_comm]
#align ordnode.dual_node4_l Ordnode.dual_node4L
theorem dual_node4R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node4R l x m y r) = node4L (dual r) y (dual m) x (dual l) := by
cases m <;> simp [node4L, node4R, node3L, dual_node3R, dual_node', add_comm]
#align ordnode.dual_node4_r Ordnode.dual_node4R
theorem dual_rotateL (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (rotateL l x r) = rotateR (dual r) x (dual l) := by
cases r <;> simp [rotateL, rotateR, dual_node']; split_ifs <;>
simp [dual_node3L, dual_node4L, node3R, add_comm]
#align ordnode.dual_rotate_l Ordnode.dual_rotateL
theorem dual_rotateR (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (rotateR l x r) = rotateL (dual r) x (dual l) := by
rw [← dual_dual (rotateL _ _ _), dual_rotateL, dual_dual, dual_dual]
#align ordnode.dual_rotate_r Ordnode.dual_rotateR
theorem dual_balance' (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (balance' l x r) = balance' (dual r) x (dual l) := by
simp [balance', add_comm]; split_ifs with h h_1 h_2 <;>
simp [dual_node', dual_rotateL, dual_rotateR, add_comm]
cases delta_lt_false h_1 h_2
#align ordnode.dual_balance' Ordnode.dual_balance'
theorem dual_balanceL (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (balanceL l x r) = balanceR (dual r) x (dual l) := by
unfold balanceL balanceR
cases' r with rs rl rx rr
· cases' l with ls ll lx lr; · rfl
cases' ll with lls lll llx llr <;> cases' lr with lrs lrl lrx lrr <;> dsimp only [dual, id] <;>
try rfl
split_ifs with h <;> repeat simp [h, add_comm]
· cases' l with ls ll lx lr; · rfl
dsimp only [dual, id]
split_ifs; swap; · simp [add_comm]
cases' ll with lls lll llx llr <;> cases' lr with lrs lrl lrx lrr <;> try rfl
dsimp only [dual, id]
split_ifs with h <;> simp [h, add_comm]
#align ordnode.dual_balance_l Ordnode.dual_balanceL
theorem dual_balanceR (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (balanceR l x r) = balanceL (dual r) x (dual l) := by
rw [← dual_dual (balanceL _ _ _), dual_balanceL, dual_dual, dual_dual]
#align ordnode.dual_balance_r Ordnode.dual_balanceR
theorem Sized.node3L {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) :
Sized (node3L l x m y r) :=
(hl.node' hm).node' hr
#align ordnode.sized.node3_l Ordnode.Sized.node3L
theorem Sized.node3R {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) :
Sized (node3R l x m y r) :=
hl.node' (hm.node' hr)
#align ordnode.sized.node3_r Ordnode.Sized.node3R
theorem Sized.node4L {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) :
Sized (node4L l x m y r) := by
cases m <;> [exact (hl.node' hm).node' hr; exact (hl.node' hm.2.1).node' (hm.2.2.node' hr)]
#align ordnode.sized.node4_l Ordnode.Sized.node4L
theorem node3L_size {l x m y r} : size (@node3L α l x m y r) = size l + size m + size r + 2 := by
dsimp [node3L, node', size]; rw [add_right_comm _ 1]
#align ordnode.node3_l_size Ordnode.node3L_size
theorem node3R_size {l x m y r} : size (@node3R α l x m y r) = size l + size m + size r + 2 := by
dsimp [node3R, node', size]; rw [← add_assoc, ← add_assoc]
#align ordnode.node3_r_size Ordnode.node3R_size
theorem node4L_size {l x m y r} (hm : Sized m) :
size (@node4L α l x m y r) = size l + size m + size r + 2 := by
cases m <;> simp [node4L, node3L, node'] <;> [abel; (simp [size, hm.1]; abel)]
#align ordnode.node4_l_size Ordnode.node4L_size
theorem Sized.dual : ∀ {t : Ordnode α}, Sized t → Sized (dual t)
| nil, _ => ⟨⟩
| node _ l _ r, ⟨rfl, sl, sr⟩ => ⟨by simp [size_dual, add_comm], Sized.dual sr, Sized.dual sl⟩
#align ordnode.sized.dual Ordnode.Sized.dual
theorem Sized.dual_iff {t : Ordnode α} : Sized (.dual t) ↔ Sized t :=
⟨fun h => by rw [← dual_dual t]; exact h.dual, Sized.dual⟩
#align ordnode.sized.dual_iff Ordnode.Sized.dual_iff
theorem Sized.rotateL {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (rotateL l x r) := by
cases r; · exact hl.node' hr
rw [Ordnode.rotateL_node]; split_ifs
· exact hl.node3L hr.2.1 hr.2.2
· exact hl.node4L hr.2.1 hr.2.2
#align ordnode.sized.rotate_l Ordnode.Sized.rotateL
theorem Sized.rotateR {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (rotateR l x r) :=
Sized.dual_iff.1 <| by rw [dual_rotateR]; exact hr.dual.rotateL hl.dual
#align ordnode.sized.rotate_r Ordnode.Sized.rotateR
theorem Sized.rotateL_size {l x r} (hm : Sized r) :
size (@Ordnode.rotateL α l x r) = size l + size r + 1 := by
cases r <;> simp [Ordnode.rotateL]
simp only [hm.1]
split_ifs <;> simp [node3L_size, node4L_size hm.2.1] <;> abel
#align ordnode.sized.rotate_l_size Ordnode.Sized.rotateL_size
theorem Sized.rotateR_size {l x r} (hl : Sized l) :
size (@Ordnode.rotateR α l x r) = size l + size r + 1 := by
rw [← size_dual, dual_rotateR, hl.dual.rotateL_size, size_dual, size_dual, add_comm (size l)]
#align ordnode.sized.rotate_r_size Ordnode.Sized.rotateR_size
theorem Sized.balance' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (balance' l x r) := by
unfold balance'; split_ifs
· exact hl.node' hr
· exact hl.rotateL hr
· exact hl.rotateR hr
· exact hl.node' hr
#align ordnode.sized.balance' Ordnode.Sized.balance'
theorem size_balance' {l x r} (hl : @Sized α l) (hr : Sized r) :
size (@balance' α l x r) = size l + size r + 1 := by
unfold balance'; split_ifs
· rfl
· exact hr.rotateL_size
· exact hl.rotateR_size
· rfl
#align ordnode.size_balance' Ordnode.size_balance'
theorem All.imp {P Q : α → Prop} (H : ∀ a, P a → Q a) : ∀ {t}, All P t → All Q t
| nil, _ => ⟨⟩
| node _ _ _ _, ⟨h₁, h₂, h₃⟩ => ⟨h₁.imp H, H _ h₂, h₃.imp H⟩
#align ordnode.all.imp Ordnode.All.imp
theorem Any.imp {P Q : α → Prop} (H : ∀ a, P a → Q a) : ∀ {t}, Any P t → Any Q t
| nil => id
| node _ _ _ _ => Or.imp (Any.imp H) <| Or.imp (H _) (Any.imp H)
#align ordnode.any.imp Ordnode.Any.imp
theorem all_singleton {P : α → Prop} {x : α} : All P (singleton x) ↔ P x :=
⟨fun h => h.2.1, fun h => ⟨⟨⟩, h, ⟨⟩⟩⟩
#align ordnode.all_singleton Ordnode.all_singleton
theorem any_singleton {P : α → Prop} {x : α} : Any P (singleton x) ↔ P x :=
⟨by rintro (⟨⟨⟩⟩ | h | ⟨⟨⟩⟩); exact h, fun h => Or.inr (Or.inl h)⟩
#align ordnode.any_singleton Ordnode.any_singleton
theorem all_dual {P : α → Prop} : ∀ {t : Ordnode α}, All P (dual t) ↔ All P t
| nil => Iff.rfl
| node _ _l _x _r =>
⟨fun ⟨hr, hx, hl⟩ => ⟨all_dual.1 hl, hx, all_dual.1 hr⟩, fun ⟨hl, hx, hr⟩ =>
⟨all_dual.2 hr, hx, all_dual.2 hl⟩⟩
#align ordnode.all_dual Ordnode.all_dual
theorem all_iff_forall {P : α → Prop} : ∀ {t}, All P t ↔ ∀ x, Emem x t → P x
| nil => (iff_true_intro <| by rintro _ ⟨⟩).symm
| node _ l x r => by simp [All, Emem, all_iff_forall, Any, or_imp, forall_and]
#align ordnode.all_iff_forall Ordnode.all_iff_forall
theorem any_iff_exists {P : α → Prop} : ∀ {t}, Any P t ↔ ∃ x, Emem x t ∧ P x
| nil => ⟨by rintro ⟨⟩, by rintro ⟨_, ⟨⟩, _⟩⟩
| node _ l x r => by simp only [Emem]; simp [Any, any_iff_exists, or_and_right, exists_or]
#align ordnode.any_iff_exists Ordnode.any_iff_exists
theorem emem_iff_all {x : α} {t} : Emem x t ↔ ∀ P, All P t → P x :=
⟨fun h _ al => all_iff_forall.1 al _ h, fun H => H _ <| all_iff_forall.2 fun _ => id⟩
#align ordnode.emem_iff_all Ordnode.emem_iff_all
theorem all_node' {P l x r} : @All α P (node' l x r) ↔ All P l ∧ P x ∧ All P r :=
Iff.rfl
#align ordnode.all_node' Ordnode.all_node'
theorem all_node3L {P l x m y r} :
@All α P (node3L l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r := by
simp [node3L, all_node', and_assoc]
#align ordnode.all_node3_l Ordnode.all_node3L
theorem all_node3R {P l x m y r} :
@All α P (node3R l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r :=
Iff.rfl
#align ordnode.all_node3_r Ordnode.all_node3R
theorem all_node4L {P l x m y r} :
@All α P (node4L l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r := by
cases m <;> simp [node4L, all_node', All, all_node3L, and_assoc]
#align ordnode.all_node4_l Ordnode.all_node4L
theorem all_node4R {P l x m y r} :
@All α P (node4R l x m y r) ↔ All P l ∧ P x ∧ All P m ∧ P y ∧ All P r := by
cases m <;> simp [node4R, all_node', All, all_node3R, and_assoc]
#align ordnode.all_node4_r Ordnode.all_node4R
theorem all_rotateL {P l x r} : @All α P (rotateL l x r) ↔ All P l ∧ P x ∧ All P r := by
cases r <;> simp [rotateL, all_node']; split_ifs <;>
simp [all_node3L, all_node4L, All, and_assoc]
#align ordnode.all_rotate_l Ordnode.all_rotateL
theorem all_rotateR {P l x r} : @All α P (rotateR l x r) ↔ All P l ∧ P x ∧ All P r := by
rw [← all_dual, dual_rotateR, all_rotateL]; simp [all_dual, and_comm, and_left_comm, and_assoc]
#align ordnode.all_rotate_r Ordnode.all_rotateR
theorem all_balance' {P l x r} : @All α P (balance' l x r) ↔ All P l ∧ P x ∧ All P r := by
rw [balance']; split_ifs <;> simp [all_node', all_rotateL, all_rotateR]
#align ordnode.all_balance' Ordnode.all_balance'
theorem foldr_cons_eq_toList : ∀ (t : Ordnode α) (r : List α), t.foldr List.cons r = toList t ++ r
| nil, r => rfl
| node _ l x r, r' => by
rw [foldr, foldr_cons_eq_toList l, foldr_cons_eq_toList r, ← List.cons_append,
← List.append_assoc, ← foldr_cons_eq_toList l]; rfl
#align ordnode.foldr_cons_eq_to_list Ordnode.foldr_cons_eq_toList
@[simp]
theorem toList_nil : toList (@nil α) = [] :=
rfl
#align ordnode.to_list_nil Ordnode.toList_nil
@[simp]
theorem toList_node (s l x r) : toList (@node α s l x r) = toList l ++ x :: toList r := by
rw [toList, foldr, foldr_cons_eq_toList]; rfl
#align ordnode.to_list_node Ordnode.toList_node
theorem emem_iff_mem_toList {x : α} {t} : Emem x t ↔ x ∈ toList t := by
unfold Emem; induction t <;> simp [Any, *, or_assoc]
#align ordnode.emem_iff_mem_to_list Ordnode.emem_iff_mem_toList
theorem length_toList' : ∀ t : Ordnode α, (toList t).length = t.realSize
| nil => rfl
| node _ l _ r => by
rw [toList_node, List.length_append, List.length_cons, length_toList' l,
length_toList' r]; rfl
#align ordnode.length_to_list' Ordnode.length_toList'
theorem length_toList {t : Ordnode α} (h : Sized t) : (toList t).length = t.size := by
rw [length_toList', size_eq_realSize h]
#align ordnode.length_to_list Ordnode.length_toList
theorem equiv_iff {t₁ t₂ : Ordnode α} (h₁ : Sized t₁) (h₂ : Sized t₂) :
Equiv t₁ t₂ ↔ toList t₁ = toList t₂ :=
and_iff_right_of_imp fun h => by rw [← length_toList h₁, h, length_toList h₂]
#align ordnode.equiv_iff Ordnode.equiv_iff
theorem pos_size_of_mem [LE α] [@DecidableRel α (· ≤ ·)] {x : α} {t : Ordnode α} (h : Sized t)
(h_mem : x ∈ t) : 0 < size t := by cases t; · { contradiction }; · { simp [h.1] }
#align ordnode.pos_size_of_mem Ordnode.pos_size_of_mem
theorem findMin'_dual : ∀ (t) (x : α), findMin' (dual t) x = findMax' x t
| nil, _ => rfl
| node _ _ x r, _ => findMin'_dual r x
#align ordnode.find_min'_dual Ordnode.findMin'_dual
theorem findMax'_dual (t) (x : α) : findMax' x (dual t) = findMin' t x := by
rw [← findMin'_dual, dual_dual]
#align ordnode.find_max'_dual Ordnode.findMax'_dual
theorem findMin_dual : ∀ t : Ordnode α, findMin (dual t) = findMax t
| nil => rfl
| node _ _ _ _ => congr_arg some <| findMin'_dual _ _
#align ordnode.find_min_dual Ordnode.findMin_dual
theorem findMax_dual (t : Ordnode α) : findMax (dual t) = findMin t := by
rw [← findMin_dual, dual_dual]
#align ordnode.find_max_dual Ordnode.findMax_dual
theorem dual_eraseMin : ∀ t : Ordnode α, dual (eraseMin t) = eraseMax (dual t)
| nil => rfl
| node _ nil x r => rfl
| node _ (node sz l' y r') x r => by
rw [eraseMin, dual_balanceR, dual_eraseMin (node sz l' y r'), dual, dual, dual, eraseMax]
#align ordnode.dual_erase_min Ordnode.dual_eraseMin
theorem dual_eraseMax (t : Ordnode α) : dual (eraseMax t) = eraseMin (dual t) := by
rw [← dual_dual (eraseMin _), dual_eraseMin, dual_dual]
#align ordnode.dual_erase_max Ordnode.dual_eraseMax
theorem splitMin_eq :
∀ (s l) (x : α) (r), splitMin' l x r = (findMin' l x, eraseMin (node s l x r))
| _, nil, x, r => rfl
| _, node ls ll lx lr, x, r => by rw [splitMin', splitMin_eq ls ll lx lr, findMin', eraseMin]
#align ordnode.split_min_eq Ordnode.splitMin_eq
theorem splitMax_eq :
∀ (s l) (x : α) (r), splitMax' l x r = (eraseMax (node s l x r), findMax' x r)
| _, l, x, nil => rfl
| _, l, x, node ls ll lx lr => by rw [splitMax', splitMax_eq ls ll lx lr, findMax', eraseMax]
#align ordnode.split_max_eq Ordnode.splitMax_eq
-- @[elab_as_elim] -- Porting note: unexpected eliminator resulting type
theorem findMin'_all {P : α → Prop} : ∀ (t) (x : α), All P t → P x → P (findMin' t x)
| nil, _x, _, hx => hx
| node _ ll lx _, _, ⟨h₁, h₂, _⟩, _ => findMin'_all ll lx h₁ h₂
#align ordnode.find_min'_all Ordnode.findMin'_all
-- @[elab_as_elim] -- Porting note: unexpected eliminator resulting type
theorem findMax'_all {P : α → Prop} : ∀ (x : α) (t), P x → All P t → P (findMax' x t)
| _x, nil, hx, _ => hx
| _, node _ _ lx lr, _, ⟨_, h₂, h₃⟩ => findMax'_all lx lr h₂ h₃
#align ordnode.find_max'_all Ordnode.findMax'_all
@[simp]
theorem merge_nil_left (t : Ordnode α) : merge t nil = t := by cases t <;> rfl
#align ordnode.merge_nil_left Ordnode.merge_nil_left
@[simp]
theorem merge_nil_right (t : Ordnode α) : merge nil t = t :=
rfl
#align ordnode.merge_nil_right Ordnode.merge_nil_right
@[simp]
theorem merge_node {ls ll lx lr rs rl rx rr} :
merge (@node α ls ll lx lr) (node rs rl rx rr) =
if delta * ls < rs then balanceL (merge (node ls ll lx lr) rl) rx rr
else if delta * rs < ls then balanceR ll lx (merge lr (node rs rl rx rr))
else glue (node ls ll lx lr) (node rs rl rx rr) :=
rfl
#align ordnode.merge_node Ordnode.merge_node
theorem dual_insert [Preorder α] [IsTotal α (· ≤ ·)] [@DecidableRel α (· ≤ ·)] (x : α) :
∀ t : Ordnode α, dual (Ordnode.insert x t) = @Ordnode.insert αᵒᵈ _ _ x (dual t)
| nil => rfl
| node _ l y r => by
have : @cmpLE αᵒᵈ _ _ x y = cmpLE y x := rfl
rw [Ordnode.insert, dual, Ordnode.insert, this, ← cmpLE_swap x y]
cases cmpLE x y <;>
simp [Ordering.swap, Ordnode.insert, dual_balanceL, dual_balanceR, dual_insert]
#align ordnode.dual_insert Ordnode.dual_insert
theorem balance_eq_balance' {l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l)
(sr : Sized r) : @balance α l x r = balance' l x r := by
cases' l with ls ll lx lr
· cases' r with rs rl rx rr
· rfl
· rw [sr.eq_node'] at hr ⊢
cases' rl with rls rll rlx rlr <;> cases' rr with rrs rrl rrx rrr <;>
dsimp [balance, balance']
· rfl
· have : size rrl = 0 ∧ size rrr = 0 := by
have := balancedSz_zero.1 hr.1.symm
rwa [size, sr.2.2.1, Nat.succ_le_succ_iff, Nat.le_zero, add_eq_zero_iff] at this
cases sr.2.2.2.1.size_eq_zero.1 this.1
cases sr.2.2.2.2.size_eq_zero.1 this.2
obtain rfl : rrs = 1 := sr.2.2.1
rw [if_neg, if_pos, rotateL_node, if_pos]; · rfl
all_goals dsimp only [size]; decide
· have : size rll = 0 ∧ size rlr = 0 := by
have := balancedSz_zero.1 hr.1
rwa [size, sr.2.1.1, Nat.succ_le_succ_iff, Nat.le_zero, add_eq_zero_iff] at this
cases sr.2.1.2.1.size_eq_zero.1 this.1
cases sr.2.1.2.2.size_eq_zero.1 this.2
obtain rfl : rls = 1 := sr.2.1.1
rw [if_neg, if_pos, rotateL_node, if_neg]; · rfl
all_goals dsimp only [size]; decide
· symm; rw [zero_add, if_neg, if_pos, rotateL]
· dsimp only [size_node]; split_ifs
· simp [node3L, node']; abel
· simp [node4L, node', sr.2.1.1]; abel
· apply Nat.zero_lt_succ
· exact not_le_of_gt (Nat.succ_lt_succ (add_pos sr.2.1.pos sr.2.2.pos))
· cases' r with rs rl rx rr
· rw [sl.eq_node'] at hl ⊢
cases' ll with lls lll llx llr <;> cases' lr with lrs lrl lrx lrr <;>
dsimp [balance, balance']
· rfl
· have : size lrl = 0 ∧ size lrr = 0 := by
have := balancedSz_zero.1 hl.1.symm
rwa [size, sl.2.2.1, Nat.succ_le_succ_iff, Nat.le_zero, add_eq_zero_iff] at this
cases sl.2.2.2.1.size_eq_zero.1 this.1
cases sl.2.2.2.2.size_eq_zero.1 this.2
obtain rfl : lrs = 1 := sl.2.2.1
rw [if_neg, if_neg, if_pos, rotateR_node, if_neg]; · rfl
all_goals dsimp only [size]; decide
· have : size lll = 0 ∧ size llr = 0 := by
have := balancedSz_zero.1 hl.1
rwa [size, sl.2.1.1, Nat.succ_le_succ_iff, Nat.le_zero, add_eq_zero_iff] at this
cases sl.2.1.2.1.size_eq_zero.1 this.1
cases sl.2.1.2.2.size_eq_zero.1 this.2
obtain rfl : lls = 1 := sl.2.1.1
rw [if_neg, if_neg, if_pos, rotateR_node, if_pos]; · rfl
all_goals dsimp only [size]; decide
· symm; rw [if_neg, if_neg, if_pos, rotateR]
· dsimp only [size_node]; split_ifs
· simp [node3R, node']; abel
· simp [node4R, node', sl.2.2.1]; abel
· apply Nat.zero_lt_succ
· apply Nat.not_lt_zero
· exact not_le_of_gt (Nat.succ_lt_succ (add_pos sl.2.1.pos sl.2.2.pos))
· simp [balance, balance']
symm; rw [if_neg]
· split_ifs with h h_1
· have rd : delta ≤ size rl + size rr := by
have := lt_of_le_of_lt (Nat.mul_le_mul_left _ sl.pos) h
rwa [sr.1, Nat.lt_succ_iff] at this
cases' rl with rls rll rlx rlr
· rw [size, zero_add] at rd
exact absurd (le_trans rd (balancedSz_zero.1 hr.1.symm)) (by decide)
cases' rr with rrs rrl rrx rrr
· exact absurd (le_trans rd (balancedSz_zero.1 hr.1)) (by decide)
dsimp [rotateL]; split_ifs
· simp [node3L, node', sr.1]; abel
· simp [node4L, node', sr.1, sr.2.1.1]; abel
· have ld : delta ≤ size ll + size lr := by
have := lt_of_le_of_lt (Nat.mul_le_mul_left _ sr.pos) h_1
rwa [sl.1, Nat.lt_succ_iff] at this
cases' ll with lls lll llx llr
· rw [size, zero_add] at ld
exact absurd (le_trans ld (balancedSz_zero.1 hl.1.symm)) (by decide)
cases' lr with lrs lrl lrx lrr
· exact absurd (le_trans ld (balancedSz_zero.1 hl.1)) (by decide)
dsimp [rotateR]; split_ifs
· simp [node3R, node', sl.1]; abel
· simp [node4R, node', sl.1, sl.2.2.1]; abel
· simp [node']
· exact not_le_of_gt (add_le_add (Nat.succ_le_of_lt sl.pos) (Nat.succ_le_of_lt sr.pos))
#align ordnode.balance_eq_balance' Ordnode.balance_eq_balance'
theorem balanceL_eq_balance {l x r} (sl : Sized l) (sr : Sized r) (H1 : size l = 0 → size r ≤ 1)
(H2 : 1 ≤ size l → 1 ≤ size r → size r ≤ delta * size l) :
@balanceL α l x r = balance l x r := by
cases' r with rs rl rx rr
· rfl
· cases' l with ls ll lx lr
· have : size rl = 0 ∧ size rr = 0 := by
have := H1 rfl
rwa [size, sr.1, Nat.succ_le_succ_iff, Nat.le_zero, add_eq_zero_iff] at this
cases sr.2.1.size_eq_zero.1 this.1
cases sr.2.2.size_eq_zero.1 this.2
rw [sr.eq_node']; rfl
· replace H2 : ¬rs > delta * ls := not_lt_of_le (H2 sl.pos sr.pos)
simp [balanceL, balance, H2]; split_ifs <;> simp [add_comm]
#align ordnode.balance_l_eq_balance Ordnode.balanceL_eq_balance
def Raised (n m : ℕ) : Prop :=
m = n ∨ m = n + 1
#align ordnode.raised Ordnode.Raised
theorem raised_iff {n m} : Raised n m ↔ n ≤ m ∧ m ≤ n + 1 := by
constructor
· rintro (rfl | rfl)
· exact ⟨le_rfl, Nat.le_succ _⟩
· exact ⟨Nat.le_succ _, le_rfl⟩
· rintro ⟨h₁, h₂⟩
rcases eq_or_lt_of_le h₁ with (rfl | h₁)
· exact Or.inl rfl
· exact Or.inr (le_antisymm h₂ h₁)
#align ordnode.raised_iff Ordnode.raised_iff
theorem Raised.dist_le {n m} (H : Raised n m) : Nat.dist n m ≤ 1 := by
cases' raised_iff.1 H with H1 H2; rwa [Nat.dist_eq_sub_of_le H1, tsub_le_iff_left]
#align ordnode.raised.dist_le Ordnode.Raised.dist_le
theorem Raised.dist_le' {n m} (H : Raised n m) : Nat.dist m n ≤ 1 := by
rw [Nat.dist_comm]; exact H.dist_le
#align ordnode.raised.dist_le' Ordnode.Raised.dist_le'
theorem Raised.add_left (k) {n m} (H : Raised n m) : Raised (k + n) (k + m) := by
rcases H with (rfl | rfl)
· exact Or.inl rfl
· exact Or.inr rfl
#align ordnode.raised.add_left Ordnode.Raised.add_left
theorem Raised.add_right (k) {n m} (H : Raised n m) : Raised (n + k) (m + k) := by
rw [add_comm, add_comm m]; exact H.add_left _
#align ordnode.raised.add_right Ordnode.Raised.add_right
theorem Raised.right {l x₁ x₂ r₁ r₂} (H : Raised (size r₁) (size r₂)) :
Raised (size (@node' α l x₁ r₁)) (size (@node' α l x₂ r₂)) := by
rw [node', size_node, size_node]; generalize size r₂ = m at H ⊢
rcases H with (rfl | rfl)
· exact Or.inl rfl
· exact Or.inr rfl
#align ordnode.raised.right Ordnode.Raised.right
theorem balanceL_eq_balance' {l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l)
(sr : Sized r)
(H :
(∃ l', Raised l' (size l) ∧ BalancedSz l' (size r)) ∨
∃ r', Raised (size r) r' ∧ BalancedSz (size l) r') :
@balanceL α l x r = balance' l x r := by
rw [← balance_eq_balance' hl hr sl sr, balanceL_eq_balance sl sr]
· intro l0; rw [l0] at H
rcases H with (⟨_, ⟨⟨⟩⟩ | ⟨⟨⟩⟩, H⟩ | ⟨r', e, H⟩)
· exact balancedSz_zero.1 H.symm
exact le_trans (raised_iff.1 e).1 (balancedSz_zero.1 H.symm)
· intro l1 _
rcases H with (⟨l', e, H | ⟨_, H₂⟩⟩ | ⟨r', e, H | ⟨_, H₂⟩⟩)
· exact le_trans (le_trans (Nat.le_add_left _ _) H) (mul_pos (by decide) l1 : (0 : ℕ) < _)
· exact le_trans H₂ (Nat.mul_le_mul_left _ (raised_iff.1 e).1)
· cases raised_iff.1 e; unfold delta; omega
· exact le_trans (raised_iff.1 e).1 H₂
#align ordnode.balance_l_eq_balance' Ordnode.balanceL_eq_balance'
theorem balance_sz_dual {l r}
(H : (∃ l', Raised (@size α l) l' ∧ BalancedSz l' (@size α r)) ∨
∃ r', Raised r' (size r) ∧ BalancedSz (size l) r') :
(∃ l', Raised l' (size (dual r)) ∧ BalancedSz l' (size (dual l))) ∨
∃ r', Raised (size (dual l)) r' ∧ BalancedSz (size (dual r)) r' := by
rw [size_dual, size_dual]
exact
H.symm.imp (Exists.imp fun _ => And.imp_right BalancedSz.symm)
(Exists.imp fun _ => And.imp_right BalancedSz.symm)
#align ordnode.balance_sz_dual Ordnode.balance_sz_dual
theorem size_balanceL {l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l) (sr : Sized r)
(H : (∃ l', Raised l' (size l) ∧ BalancedSz l' (size r)) ∨
∃ r', Raised (size r) r' ∧ BalancedSz (size l) r') :
size (@balanceL α l x r) = size l + size r + 1 := by
rw [balanceL_eq_balance' hl hr sl sr H, size_balance' sl sr]
#align ordnode.size_balance_l Ordnode.size_balanceL
theorem all_balanceL {P l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l) (sr : Sized r)
(H :
(∃ l', Raised l' (size l) ∧ BalancedSz l' (size r)) ∨
∃ r', Raised (size r) r' ∧ BalancedSz (size l) r') :
All P (@balanceL α l x r) ↔ All P l ∧ P x ∧ All P r := by
rw [balanceL_eq_balance' hl hr sl sr H, all_balance']
#align ordnode.all_balance_l Ordnode.all_balanceL
theorem balanceR_eq_balance' {l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l)
(sr : Sized r)
(H : (∃ l', Raised (size l) l' ∧ BalancedSz l' (size r)) ∨
∃ r', Raised r' (size r) ∧ BalancedSz (size l) r') :
@balanceR α l x r = balance' l x r := by
rw [← dual_dual (balanceR l x r), dual_balanceR,
balanceL_eq_balance' hr.dual hl.dual sr.dual sl.dual (balance_sz_dual H), ← dual_balance',
dual_dual]
#align ordnode.balance_r_eq_balance' Ordnode.balanceR_eq_balance'
theorem size_balanceR {l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l) (sr : Sized r)
(H : (∃ l', Raised (size l) l' ∧ BalancedSz l' (size r)) ∨
∃ r', Raised r' (size r) ∧ BalancedSz (size l) r') :
size (@balanceR α l x r) = size l + size r + 1 := by
rw [balanceR_eq_balance' hl hr sl sr H, size_balance' sl sr]
#align ordnode.size_balance_r Ordnode.size_balanceR
theorem all_balanceR {P l x r} (hl : Balanced l) (hr : Balanced r) (sl : Sized l) (sr : Sized r)
(H :
(∃ l', Raised (size l) l' ∧ BalancedSz l' (size r)) ∨
∃ r', Raised r' (size r) ∧ BalancedSz (size l) r') :
All P (@balanceR α l x r) ↔ All P l ∧ P x ∧ All P r := by
rw [balanceR_eq_balance' hl hr sl sr H, all_balance']
#align ordnode.all_balance_r Ordnode.all_balanceR
section
variable [Preorder α]
def Bounded : Ordnode α → WithBot α → WithTop α → Prop
| nil, some a, some b => a < b
| nil, _, _ => True
| node _ l x r, o₁, o₂ => Bounded l o₁ x ∧ Bounded r (↑x) o₂
#align ordnode.bounded Ordnode.Bounded
theorem Bounded.dual :
∀ {t : Ordnode α} {o₁ o₂}, Bounded t o₁ o₂ → @Bounded αᵒᵈ _ (dual t) o₂ o₁
| nil, o₁, o₂, h => by cases o₁ <;> cases o₂ <;> trivial
| node _ l x r, _, _, ⟨ol, Or⟩ => ⟨Or.dual, ol.dual⟩
#align ordnode.bounded.dual Ordnode.Bounded.dual
theorem Bounded.dual_iff {t : Ordnode α} {o₁ o₂} :
Bounded t o₁ o₂ ↔ @Bounded αᵒᵈ _ (.dual t) o₂ o₁ :=
⟨Bounded.dual, fun h => by
have := Bounded.dual h; rwa [dual_dual, OrderDual.Preorder.dual_dual] at this⟩
#align ordnode.bounded.dual_iff Ordnode.Bounded.dual_iff
theorem Bounded.weak_left : ∀ {t : Ordnode α} {o₁ o₂}, Bounded t o₁ o₂ → Bounded t ⊥ o₂
| nil, o₁, o₂, h => by cases o₂ <;> trivial
| node _ l x r, _, _, ⟨ol, Or⟩ => ⟨ol.weak_left, Or⟩
#align ordnode.bounded.weak_left Ordnode.Bounded.weak_left
theorem Bounded.weak_right : ∀ {t : Ordnode α} {o₁ o₂}, Bounded t o₁ o₂ → Bounded t o₁ ⊤
| nil, o₁, o₂, h => by cases o₁ <;> trivial
| node _ l x r, _, _, ⟨ol, Or⟩ => ⟨ol, Or.weak_right⟩
#align ordnode.bounded.weak_right Ordnode.Bounded.weak_right
theorem Bounded.weak {t : Ordnode α} {o₁ o₂} (h : Bounded t o₁ o₂) : Bounded t ⊥ ⊤ :=
h.weak_left.weak_right
#align ordnode.bounded.weak Ordnode.Bounded.weak
theorem Bounded.mono_left {x y : α} (xy : x ≤ y) :
∀ {t : Ordnode α} {o}, Bounded t y o → Bounded t x o
| nil, none, _ => ⟨⟩
| nil, some _, h => lt_of_le_of_lt xy h
| node _ _ _ _, _o, ⟨ol, or⟩ => ⟨ol.mono_left xy, or⟩
#align ordnode.bounded.mono_left Ordnode.Bounded.mono_left
theorem Bounded.mono_right {x y : α} (xy : x ≤ y) :
∀ {t : Ordnode α} {o}, Bounded t o x → Bounded t o y
| nil, none, _ => ⟨⟩
| nil, some _, h => lt_of_lt_of_le h xy
| node _ _ _ _, _o, ⟨ol, or⟩ => ⟨ol, or.mono_right xy⟩
#align ordnode.bounded.mono_right Ordnode.Bounded.mono_right
theorem Bounded.to_lt : ∀ {t : Ordnode α} {x y : α}, Bounded t x y → x < y
| nil, _, _, h => h
| node _ _ _ _, _, _, ⟨h₁, h₂⟩ => lt_trans h₁.to_lt h₂.to_lt
#align ordnode.bounded.to_lt Ordnode.Bounded.to_lt
theorem Bounded.to_nil {t : Ordnode α} : ∀ {o₁ o₂}, Bounded t o₁ o₂ → Bounded nil o₁ o₂
| none, _, _ => ⟨⟩
| some _, none, _ => ⟨⟩
| some _, some _, h => h.to_lt
#align ordnode.bounded.to_nil Ordnode.Bounded.to_nil
theorem Bounded.trans_left {t₁ t₂ : Ordnode α} {x : α} :
∀ {o₁ o₂}, Bounded t₁ o₁ x → Bounded t₂ x o₂ → Bounded t₂ o₁ o₂
| none, _, _, h₂ => h₂.weak_left
| some _, _, h₁, h₂ => h₂.mono_left (le_of_lt h₁.to_lt)
#align ordnode.bounded.trans_left Ordnode.Bounded.trans_left
theorem Bounded.trans_right {t₁ t₂ : Ordnode α} {x : α} :
∀ {o₁ o₂}, Bounded t₁ o₁ x → Bounded t₂ x o₂ → Bounded t₁ o₁ o₂
| _, none, h₁, _ => h₁.weak_right
| _, some _, h₁, h₂ => h₁.mono_right (le_of_lt h₂.to_lt)
#align ordnode.bounded.trans_right Ordnode.Bounded.trans_right
theorem Bounded.mem_lt : ∀ {t o} {x : α}, Bounded t o x → All (· < x) t
| nil, _, _, _ => ⟨⟩
| node _ _ _ _, _, _, ⟨h₁, h₂⟩ =>
⟨h₁.mem_lt.imp fun _ h => lt_trans h h₂.to_lt, h₂.to_lt, h₂.mem_lt⟩
#align ordnode.bounded.mem_lt Ordnode.Bounded.mem_lt
theorem Bounded.mem_gt : ∀ {t o} {x : α}, Bounded t x o → All (· > x) t
| nil, _, _, _ => ⟨⟩
| node _ _ _ _, _, _, ⟨h₁, h₂⟩ => ⟨h₁.mem_gt, h₁.to_lt, h₂.mem_gt.imp fun _ => lt_trans h₁.to_lt⟩
#align ordnode.bounded.mem_gt Ordnode.Bounded.mem_gt
theorem Bounded.of_lt :
∀ {t o₁ o₂} {x : α}, Bounded t o₁ o₂ → Bounded nil o₁ x → All (· < x) t → Bounded t o₁ x
| nil, _, _, _, _, hn, _ => hn
| node _ _ _ _, _, _, _, ⟨h₁, h₂⟩, _, ⟨_, al₂, al₃⟩ => ⟨h₁, h₂.of_lt al₂ al₃⟩
#align ordnode.bounded.of_lt Ordnode.Bounded.of_lt
theorem Bounded.of_gt :
∀ {t o₁ o₂} {x : α}, Bounded t o₁ o₂ → Bounded nil x o₂ → All (· > x) t → Bounded t x o₂
| nil, _, _, _, _, hn, _ => hn
| node _ _ _ _, _, _, _, ⟨h₁, h₂⟩, _, ⟨al₁, al₂, _⟩ => ⟨h₁.of_gt al₂ al₁, h₂⟩
#align ordnode.bounded.of_gt Ordnode.Bounded.of_gt
theorem Bounded.to_sep {t₁ t₂ o₁ o₂} {x : α}
(h₁ : Bounded t₁ o₁ (x : WithTop α)) (h₂ : Bounded t₂ (x : WithBot α) o₂) :
t₁.All fun y => t₂.All fun z : α => y < z := by
refine h₁.mem_lt.imp fun y yx => ?_
exact h₂.mem_gt.imp fun z xz => lt_trans yx xz
#align ordnode.bounded.to_sep Ordnode.Bounded.to_sep
end
section
variable [Preorder α]
structure Valid' (lo : WithBot α) (t : Ordnode α) (hi : WithTop α) : Prop where
ord : t.Bounded lo hi
sz : t.Sized
bal : t.Balanced
#align ordnode.valid' Ordnode.Valid'
#align ordnode.valid'.ord Ordnode.Valid'.ord
#align ordnode.valid'.sz Ordnode.Valid'.sz
#align ordnode.valid'.bal Ordnode.Valid'.bal
def Valid (t : Ordnode α) : Prop :=
Valid' ⊥ t ⊤
#align ordnode.valid Ordnode.Valid
theorem Valid'.mono_left {x y : α} (xy : x ≤ y) {t : Ordnode α} {o} (h : Valid' y t o) :
Valid' x t o :=
⟨h.1.mono_left xy, h.2, h.3⟩
#align ordnode.valid'.mono_left Ordnode.Valid'.mono_left
theorem Valid'.mono_right {x y : α} (xy : x ≤ y) {t : Ordnode α} {o} (h : Valid' o t x) :
Valid' o t y :=
⟨h.1.mono_right xy, h.2, h.3⟩
#align ordnode.valid'.mono_right Ordnode.Valid'.mono_right
theorem Valid'.trans_left {t₁ t₂ : Ordnode α} {x : α} {o₁ o₂} (h : Bounded t₁ o₁ x)
(H : Valid' x t₂ o₂) : Valid' o₁ t₂ o₂ :=
⟨h.trans_left H.1, H.2, H.3⟩
#align ordnode.valid'.trans_left Ordnode.Valid'.trans_left
theorem Valid'.trans_right {t₁ t₂ : Ordnode α} {x : α} {o₁ o₂} (H : Valid' o₁ t₁ x)
(h : Bounded t₂ x o₂) : Valid' o₁ t₁ o₂ :=
⟨H.1.trans_right h, H.2, H.3⟩
#align ordnode.valid'.trans_right Ordnode.Valid'.trans_right
theorem Valid'.of_lt {t : Ordnode α} {x : α} {o₁ o₂} (H : Valid' o₁ t o₂) (h₁ : Bounded nil o₁ x)
(h₂ : All (· < x) t) : Valid' o₁ t x :=
⟨H.1.of_lt h₁ h₂, H.2, H.3⟩
#align ordnode.valid'.of_lt Ordnode.Valid'.of_lt
theorem Valid'.of_gt {t : Ordnode α} {x : α} {o₁ o₂} (H : Valid' o₁ t o₂) (h₁ : Bounded nil x o₂)
(h₂ : All (· > x) t) : Valid' x t o₂ :=
⟨H.1.of_gt h₁ h₂, H.2, H.3⟩
#align ordnode.valid'.of_gt Ordnode.Valid'.of_gt
theorem Valid'.valid {t o₁ o₂} (h : @Valid' α _ o₁ t o₂) : Valid t :=
⟨h.1.weak, h.2, h.3⟩
#align ordnode.valid'.valid Ordnode.Valid'.valid
theorem valid'_nil {o₁ o₂} (h : Bounded nil o₁ o₂) : Valid' o₁ (@nil α) o₂ :=
⟨h, ⟨⟩, ⟨⟩⟩
#align ordnode.valid'_nil Ordnode.valid'_nil
theorem valid_nil : Valid (@nil α) :=
valid'_nil ⟨⟩
#align ordnode.valid_nil Ordnode.valid_nil
theorem Valid'.node {s l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H : BalancedSz (size l) (size r)) (hs : s = size l + size r + 1) :
Valid' o₁ (@node α s l x r) o₂ :=
⟨⟨hl.1, hr.1⟩, ⟨hs, hl.2, hr.2⟩, ⟨H, hl.3, hr.3⟩⟩
#align ordnode.valid'.node Ordnode.Valid'.node
theorem Valid'.dual : ∀ {t : Ordnode α} {o₁ o₂}, Valid' o₁ t o₂ → @Valid' αᵒᵈ _ o₂ (dual t) o₁
| .nil, o₁, o₂, h => valid'_nil h.1.dual
| .node _ l x r, o₁, o₂, ⟨⟨ol, Or⟩, ⟨rfl, sl, sr⟩, ⟨b, bl, br⟩⟩ =>
let ⟨ol', sl', bl'⟩ := Valid'.dual ⟨ol, sl, bl⟩
let ⟨or', sr', br'⟩ := Valid'.dual ⟨Or, sr, br⟩
⟨⟨or', ol'⟩, ⟨by simp [size_dual, add_comm], sr', sl'⟩,
⟨by rw [size_dual, size_dual]; exact b.symm, br', bl'⟩⟩
#align ordnode.valid'.dual Ordnode.Valid'.dual
theorem Valid'.dual_iff {t : Ordnode α} {o₁ o₂} : Valid' o₁ t o₂ ↔ @Valid' αᵒᵈ _ o₂ (.dual t) o₁ :=
⟨Valid'.dual, fun h => by
have := Valid'.dual h; rwa [dual_dual, OrderDual.Preorder.dual_dual] at this⟩
#align ordnode.valid'.dual_iff Ordnode.Valid'.dual_iff
theorem Valid.dual {t : Ordnode α} : Valid t → @Valid αᵒᵈ _ (.dual t) :=
Valid'.dual
#align ordnode.valid.dual Ordnode.Valid.dual
theorem Valid.dual_iff {t : Ordnode α} : Valid t ↔ @Valid αᵒᵈ _ (.dual t) :=
Valid'.dual_iff
#align ordnode.valid.dual_iff Ordnode.Valid.dual_iff
theorem Valid'.left {s l x r o₁ o₂} (H : Valid' o₁ (@Ordnode.node α s l x r) o₂) : Valid' o₁ l x :=
⟨H.1.1, H.2.2.1, H.3.2.1⟩
#align ordnode.valid'.left Ordnode.Valid'.left
theorem Valid'.right {s l x r o₁ o₂} (H : Valid' o₁ (@Ordnode.node α s l x r) o₂) : Valid' x r o₂ :=
⟨H.1.2, H.2.2.2, H.3.2.2⟩
#align ordnode.valid'.right Ordnode.Valid'.right
nonrec theorem Valid.left {s l x r} (H : Valid (@node α s l x r)) : Valid l :=
H.left.valid
#align ordnode.valid.left Ordnode.Valid.left
nonrec theorem Valid.right {s l x r} (H : Valid (@node α s l x r)) : Valid r :=
H.right.valid
#align ordnode.valid.right Ordnode.Valid.right
theorem Valid.size_eq {s l x r} (H : Valid (@node α s l x r)) :
size (@node α s l x r) = size l + size r + 1 :=
H.2.1
#align ordnode.valid.size_eq Ordnode.Valid.size_eq
theorem Valid'.node' {l} {x : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hr : Valid' x r o₂)
(H : BalancedSz (size l) (size r)) : Valid' o₁ (@node' α l x r) o₂ :=
hl.node hr H rfl
#align ordnode.valid'.node' Ordnode.Valid'.node'
theorem valid'_singleton {x : α} {o₁ o₂} (h₁ : Bounded nil o₁ x) (h₂ : Bounded nil x o₂) :
Valid' o₁ (singleton x : Ordnode α) o₂ :=
(valid'_nil h₁).node (valid'_nil h₂) (Or.inl zero_le_one) rfl
#align ordnode.valid'_singleton Ordnode.valid'_singleton
theorem valid_singleton {x : α} : Valid (singleton x : Ordnode α) :=
valid'_singleton ⟨⟩ ⟨⟩
#align ordnode.valid_singleton Ordnode.valid_singleton
theorem Valid'.node3L {l} {x : α} {m} {y : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hm : Valid' x m y)
(hr : Valid' y r o₂) (H1 : BalancedSz (size l) (size m))
(H2 : BalancedSz (size l + size m + 1) (size r)) : Valid' o₁ (@node3L α l x m y r) o₂ :=
(hl.node' hm H1).node' hr H2
#align ordnode.valid'.node3_l Ordnode.Valid'.node3L
theorem Valid'.node3R {l} {x : α} {m} {y : α} {r o₁ o₂} (hl : Valid' o₁ l x) (hm : Valid' x m y)
(hr : Valid' y r o₂) (H1 : BalancedSz (size l) (size m + size r + 1))
(H2 : BalancedSz (size m) (size r)) : Valid' o₁ (@node3R α l x m y r) o₂ :=
hl.node' (hm.node' hr H2) H1
#align ordnode.valid'.node3_r Ordnode.Valid'.node3R
| Mathlib/Data/Ordmap/Ordset.lean | 1,144 | 1,145 | theorem Valid'.node4L_lemma₁ {a b c d : ℕ} (lr₂ : 3 * (b + c + 1 + d) ≤ 16 * a + 9)
(mr₂ : b + c + 1 ≤ 3 * d) (mm₁ : b ≤ 3 * c) : b < 3 * a + 1 := by | omega
|
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.Zip
import Mathlib.Data.Nat.Defs
import Mathlib.Data.List.Infix
#align_import data.list.rotate from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
universe u
variable {α : Type u}
open Nat Function
namespace List
theorem rotate_mod (l : List α) (n : ℕ) : l.rotate (n % l.length) = l.rotate n := by simp [rotate]
#align list.rotate_mod List.rotate_mod
@[simp]
theorem rotate_nil (n : ℕ) : ([] : List α).rotate n = [] := by simp [rotate]
#align list.rotate_nil List.rotate_nil
@[simp]
theorem rotate_zero (l : List α) : l.rotate 0 = l := by simp [rotate]
#align list.rotate_zero List.rotate_zero
-- Porting note: removing simp, simp can prove it
theorem rotate'_nil (n : ℕ) : ([] : List α).rotate' n = [] := by cases n <;> rfl
#align list.rotate'_nil List.rotate'_nil
@[simp]
theorem rotate'_zero (l : List α) : l.rotate' 0 = l := by cases l <;> rfl
#align list.rotate'_zero List.rotate'_zero
theorem rotate'_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate' n.succ = (l ++ [a]).rotate' n := by simp [rotate']
#align list.rotate'_cons_succ List.rotate'_cons_succ
@[simp]
theorem length_rotate' : ∀ (l : List α) (n : ℕ), (l.rotate' n).length = l.length
| [], _ => by simp
| a :: l, 0 => rfl
| a :: l, n + 1 => by rw [List.rotate', length_rotate' (l ++ [a]) n]; simp
#align list.length_rotate' List.length_rotate'
theorem rotate'_eq_drop_append_take :
∀ {l : List α} {n : ℕ}, n ≤ l.length → l.rotate' n = l.drop n ++ l.take n
| [], n, h => by simp [drop_append_of_le_length h]
| l, 0, h => by simp [take_append_of_le_length h]
| a :: l, n + 1, h => by
have hnl : n ≤ l.length := le_of_succ_le_succ h
have hnl' : n ≤ (l ++ [a]).length := by
rw [length_append, length_cons, List.length]; exact le_of_succ_le h
rw [rotate'_cons_succ, rotate'_eq_drop_append_take hnl', drop, take,
drop_append_of_le_length hnl, take_append_of_le_length hnl]; simp
#align list.rotate'_eq_drop_append_take List.rotate'_eq_drop_append_take
theorem rotate'_rotate' : ∀ (l : List α) (n m : ℕ), (l.rotate' n).rotate' m = l.rotate' (n + m)
| a :: l, 0, m => by simp
| [], n, m => by simp
| a :: l, n + 1, m => by
rw [rotate'_cons_succ, rotate'_rotate' _ n, Nat.add_right_comm, ← rotate'_cons_succ,
Nat.succ_eq_add_one]
#align list.rotate'_rotate' List.rotate'_rotate'
@[simp]
theorem rotate'_length (l : List α) : rotate' l l.length = l := by
rw [rotate'_eq_drop_append_take le_rfl]; simp
#align list.rotate'_length List.rotate'_length
@[simp]
theorem rotate'_length_mul (l : List α) : ∀ n : ℕ, l.rotate' (l.length * n) = l
| 0 => by simp
| n + 1 =>
calc
l.rotate' (l.length * (n + 1)) =
(l.rotate' (l.length * n)).rotate' (l.rotate' (l.length * n)).length := by
simp [-rotate'_length, Nat.mul_succ, rotate'_rotate']
_ = l := by rw [rotate'_length, rotate'_length_mul l n]
#align list.rotate'_length_mul List.rotate'_length_mul
theorem rotate'_mod (l : List α) (n : ℕ) : l.rotate' (n % l.length) = l.rotate' n :=
calc
l.rotate' (n % l.length) =
(l.rotate' (n % l.length)).rotate' ((l.rotate' (n % l.length)).length * (n / l.length)) :=
by rw [rotate'_length_mul]
_ = l.rotate' n := by rw [rotate'_rotate', length_rotate', Nat.mod_add_div]
#align list.rotate'_mod List.rotate'_mod
theorem rotate_eq_rotate' (l : List α) (n : ℕ) : l.rotate n = l.rotate' n :=
if h : l.length = 0 then by simp_all [length_eq_zero]
else by
rw [← rotate'_mod,
rotate'_eq_drop_append_take (le_of_lt (Nat.mod_lt _ (Nat.pos_of_ne_zero h)))];
simp [rotate]
#align list.rotate_eq_rotate' List.rotate_eq_rotate'
theorem rotate_cons_succ (l : List α) (a : α) (n : ℕ) :
(a :: l : List α).rotate (n + 1) = (l ++ [a]).rotate n := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate'_cons_succ]
#align list.rotate_cons_succ List.rotate_cons_succ
@[simp]
theorem mem_rotate : ∀ {l : List α} {a : α} {n : ℕ}, a ∈ l.rotate n ↔ a ∈ l
| [], _, n => by simp
| a :: l, _, 0 => by simp
| a :: l, _, n + 1 => by simp [rotate_cons_succ, mem_rotate, or_comm]
#align list.mem_rotate List.mem_rotate
@[simp]
theorem length_rotate (l : List α) (n : ℕ) : (l.rotate n).length = l.length := by
rw [rotate_eq_rotate', length_rotate']
#align list.length_rotate List.length_rotate
@[simp]
theorem rotate_replicate (a : α) (n : ℕ) (k : ℕ) : (replicate n a).rotate k = replicate n a :=
eq_replicate.2 ⟨by rw [length_rotate, length_replicate], fun b hb =>
eq_of_mem_replicate <| mem_rotate.1 hb⟩
#align list.rotate_replicate List.rotate_replicate
theorem rotate_eq_drop_append_take {l : List α} {n : ℕ} :
n ≤ l.length → l.rotate n = l.drop n ++ l.take n := by
rw [rotate_eq_rotate']; exact rotate'_eq_drop_append_take
#align list.rotate_eq_drop_append_take List.rotate_eq_drop_append_take
theorem rotate_eq_drop_append_take_mod {l : List α} {n : ℕ} :
l.rotate n = l.drop (n % l.length) ++ l.take (n % l.length) := by
rcases l.length.zero_le.eq_or_lt with hl | hl
· simp [eq_nil_of_length_eq_zero hl.symm]
rw [← rotate_eq_drop_append_take (n.mod_lt hl).le, rotate_mod]
#align list.rotate_eq_drop_append_take_mod List.rotate_eq_drop_append_take_mod
@[simp]
theorem rotate_append_length_eq (l l' : List α) : (l ++ l').rotate l.length = l' ++ l := by
rw [rotate_eq_rotate']
induction l generalizing l'
· simp
· simp_all [rotate']
#align list.rotate_append_length_eq List.rotate_append_length_eq
theorem rotate_rotate (l : List α) (n m : ℕ) : (l.rotate n).rotate m = l.rotate (n + m) := by
rw [rotate_eq_rotate', rotate_eq_rotate', rotate_eq_rotate', rotate'_rotate']
#align list.rotate_rotate List.rotate_rotate
@[simp]
theorem rotate_length (l : List α) : rotate l l.length = l := by
rw [rotate_eq_rotate', rotate'_length]
#align list.rotate_length List.rotate_length
@[simp]
theorem rotate_length_mul (l : List α) (n : ℕ) : l.rotate (l.length * n) = l := by
rw [rotate_eq_rotate', rotate'_length_mul]
#align list.rotate_length_mul List.rotate_length_mul
theorem rotate_perm (l : List α) (n : ℕ) : l.rotate n ~ l := by
rw [rotate_eq_rotate']
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· rw [rotate'_cons_succ]
exact (hn _).trans (perm_append_singleton _ _)
#align list.rotate_perm List.rotate_perm
@[simp]
theorem nodup_rotate {l : List α} {n : ℕ} : Nodup (l.rotate n) ↔ Nodup l :=
(rotate_perm l n).nodup_iff
#align list.nodup_rotate List.nodup_rotate
@[simp]
theorem rotate_eq_nil_iff {l : List α} {n : ℕ} : l.rotate n = [] ↔ l = [] := by
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· simp [rotate_cons_succ, hn]
#align list.rotate_eq_nil_iff List.rotate_eq_nil_iff
@[simp]
theorem nil_eq_rotate_iff {l : List α} {n : ℕ} : [] = l.rotate n ↔ [] = l := by
rw [eq_comm, rotate_eq_nil_iff, eq_comm]
#align list.nil_eq_rotate_iff List.nil_eq_rotate_iff
@[simp]
theorem rotate_singleton (x : α) (n : ℕ) : [x].rotate n = [x] :=
rotate_replicate x 1 n
#align list.rotate_singleton List.rotate_singleton
theorem zipWith_rotate_distrib {β γ : Type*} (f : α → β → γ) (l : List α) (l' : List β) (n : ℕ)
(h : l.length = l'.length) :
(zipWith f l l').rotate n = zipWith f (l.rotate n) (l'.rotate n) := by
rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod,
rotate_eq_drop_append_take_mod, h, zipWith_append, ← zipWith_distrib_drop, ←
zipWith_distrib_take, List.length_zipWith, h, min_self]
rw [length_drop, length_drop, h]
#align list.zip_with_rotate_distrib List.zipWith_rotate_distrib
attribute [local simp] rotate_cons_succ
-- Porting note: removing @[simp], simp can prove it
theorem zipWith_rotate_one {β : Type*} (f : α → α → β) (x y : α) (l : List α) :
zipWith f (x :: y :: l) ((x :: y :: l).rotate 1) = f x y :: zipWith f (y :: l) (l ++ [x]) := by
simp
#align list.zip_with_rotate_one List.zipWith_rotate_one
theorem get?_rotate {l : List α} {n m : ℕ} (hml : m < l.length) :
(l.rotate n).get? m = l.get? ((m + n) % l.length) := by
rw [rotate_eq_drop_append_take_mod]
rcases lt_or_le m (l.drop (n % l.length)).length with hm | hm
· rw [get?_append hm, get?_drop, ← add_mod_mod]
rw [length_drop, Nat.lt_sub_iff_add_lt] at hm
rw [mod_eq_of_lt hm, Nat.add_comm]
· have hlt : n % length l < length l := mod_lt _ (m.zero_le.trans_lt hml)
rw [get?_append_right hm, get?_take, length_drop]
· congr 1
rw [length_drop] at hm
have hm' := Nat.sub_le_iff_le_add'.1 hm
have : n % length l + m - length l < length l := by
rw [Nat.sub_lt_iff_lt_add' hm']
exact Nat.add_lt_add hlt hml
conv_rhs => rw [Nat.add_comm m, ← mod_add_mod, mod_eq_sub_mod hm', mod_eq_of_lt this]
rw [← Nat.add_right_inj, ← Nat.add_sub_assoc, Nat.add_sub_sub_cancel, Nat.add_sub_cancel',
Nat.add_comm]
exacts [hm', hlt.le, hm]
· rwa [Nat.sub_lt_iff_lt_add hm, length_drop, Nat.sub_add_cancel hlt.le]
#align list.nth_rotate List.get?_rotate
-- Porting note (#10756): new lemma
theorem get_rotate (l : List α) (n : ℕ) (k : Fin (l.rotate n).length) :
(l.rotate n).get k =
l.get ⟨(k + n) % l.length, mod_lt _ (length_rotate l n ▸ k.1.zero_le.trans_lt k.2)⟩ := by
rw [← Option.some_inj, ← get?_eq_get, ← get?_eq_get, get?_rotate]
exact k.2.trans_eq (length_rotate _ _)
theorem head?_rotate {l : List α} {n : ℕ} (h : n < l.length) : head? (l.rotate n) = l.get? n := by
rw [← get?_zero, get?_rotate (n.zero_le.trans_lt h), Nat.zero_add, Nat.mod_eq_of_lt h]
#align list.head'_rotate List.head?_rotate
-- Porting note: moved down from its original location below `get_rotate` so that the
-- non-deprecated lemma does not use the deprecated version
set_option linter.deprecated false in
@[deprecated get_rotate (since := "2023-01-13")]
theorem nthLe_rotate (l : List α) (n k : ℕ) (hk : k < (l.rotate n).length) :
(l.rotate n).nthLe k hk =
l.nthLe ((k + n) % l.length) (mod_lt _ (length_rotate l n ▸ k.zero_le.trans_lt hk)) :=
get_rotate l n ⟨k, hk⟩
#align list.nth_le_rotate List.nthLe_rotate
set_option linter.deprecated false in
theorem nthLe_rotate_one (l : List α) (k : ℕ) (hk : k < (l.rotate 1).length) :
(l.rotate 1).nthLe k hk =
l.nthLe ((k + 1) % l.length) (mod_lt _ (length_rotate l 1 ▸ k.zero_le.trans_lt hk)) :=
nthLe_rotate l 1 k hk
#align list.nth_le_rotate_one List.nthLe_rotate_one
-- Porting note (#10756): new lemma
theorem get_eq_get_rotate (l : List α) (n : ℕ) (k : Fin l.length) :
l.get k = (l.rotate n).get ⟨(l.length - n % l.length + k) % l.length,
(Nat.mod_lt _ (k.1.zero_le.trans_lt k.2)).trans_eq (length_rotate _ _).symm⟩ := by
rw [get_rotate]
refine congr_arg l.get (Fin.eq_of_val_eq ?_)
simp only [mod_add_mod]
rw [← add_mod_mod, Nat.add_right_comm, Nat.sub_add_cancel, add_mod_left, mod_eq_of_lt]
exacts [k.2, (mod_lt _ (k.1.zero_le.trans_lt k.2)).le]
set_option linter.deprecated false in
@[deprecated get_eq_get_rotate]
theorem nthLe_rotate' (l : List α) (n k : ℕ) (hk : k < l.length) :
(l.rotate n).nthLe ((l.length - n % l.length + k) % l.length)
((Nat.mod_lt _ (k.zero_le.trans_lt hk)).trans_le (length_rotate _ _).ge) =
l.nthLe k hk :=
(get_eq_get_rotate l n ⟨k, hk⟩).symm
#align list.nth_le_rotate' List.nthLe_rotate'
theorem rotate_eq_self_iff_eq_replicate [hα : Nonempty α] :
∀ {l : List α}, (∀ n, l.rotate n = l) ↔ ∃ a, l = replicate l.length a
| [] => by simp
| a :: l => ⟨fun h => ⟨a, ext_get (length_replicate _ _).symm fun n h₁ h₂ => by
rw [get_replicate, ← Option.some_inj, ← get?_eq_get, ← head?_rotate h₁, h, head?_cons]⟩,
fun ⟨b, hb⟩ n => by rw [hb, rotate_replicate]⟩
#align list.rotate_eq_self_iff_eq_replicate List.rotate_eq_self_iff_eq_replicate
theorem rotate_one_eq_self_iff_eq_replicate [Nonempty α] {l : List α} :
l.rotate 1 = l ↔ ∃ a : α, l = List.replicate l.length a :=
⟨fun h =>
rotate_eq_self_iff_eq_replicate.mp fun n =>
Nat.rec l.rotate_zero (fun n hn => by rwa [Nat.succ_eq_add_one, ← l.rotate_rotate, hn]) n,
fun h => rotate_eq_self_iff_eq_replicate.mpr h 1⟩
#align list.rotate_one_eq_self_iff_eq_replicate List.rotate_one_eq_self_iff_eq_replicate
theorem rotate_injective (n : ℕ) : Function.Injective fun l : List α => l.rotate n := by
rintro l l' (h : l.rotate n = l'.rotate n)
have hle : l.length = l'.length := (l.length_rotate n).symm.trans (h.symm ▸ l'.length_rotate n)
rw [rotate_eq_drop_append_take_mod, rotate_eq_drop_append_take_mod] at h
obtain ⟨hd, ht⟩ := append_inj h (by simp_all)
rw [← take_append_drop _ l, ht, hd, take_append_drop]
#align list.rotate_injective List.rotate_injective
@[simp]
theorem rotate_eq_rotate {l l' : List α} {n : ℕ} : l.rotate n = l'.rotate n ↔ l = l' :=
(rotate_injective n).eq_iff
#align list.rotate_eq_rotate List.rotate_eq_rotate
theorem rotate_eq_iff {l l' : List α} {n : ℕ} :
l.rotate n = l' ↔ l = l'.rotate (l'.length - n % l'.length) := by
rw [← @rotate_eq_rotate _ l _ n, rotate_rotate, ← rotate_mod l', add_mod]
rcases l'.length.zero_le.eq_or_lt with hl | hl
· rw [eq_nil_of_length_eq_zero hl.symm, rotate_nil]
· rcases (Nat.zero_le (n % l'.length)).eq_or_lt with hn | hn
· simp [← hn]
· rw [mod_eq_of_lt (Nat.sub_lt hl hn), Nat.sub_add_cancel, mod_self, rotate_zero]
exact (Nat.mod_lt _ hl).le
#align list.rotate_eq_iff List.rotate_eq_iff
@[simp]
theorem rotate_eq_singleton_iff {l : List α} {n : ℕ} {x : α} : l.rotate n = [x] ↔ l = [x] := by
rw [rotate_eq_iff, rotate_singleton]
#align list.rotate_eq_singleton_iff List.rotate_eq_singleton_iff
@[simp]
theorem singleton_eq_rotate_iff {l : List α} {n : ℕ} {x : α} : [x] = l.rotate n ↔ [x] = l := by
rw [eq_comm, rotate_eq_singleton_iff, eq_comm]
#align list.singleton_eq_rotate_iff List.singleton_eq_rotate_iff
theorem reverse_rotate (l : List α) (n : ℕ) :
(l.rotate n).reverse = l.reverse.rotate (l.length - n % l.length) := by
rw [← length_reverse l, ← rotate_eq_iff]
induction' n with n hn generalizing l
· simp
· cases' l with hd tl
· simp
· rw [rotate_cons_succ, ← rotate_rotate, hn]
simp
#align list.reverse_rotate List.reverse_rotate
theorem rotate_reverse (l : List α) (n : ℕ) :
l.reverse.rotate n = (l.rotate (l.length - n % l.length)).reverse := by
rw [← reverse_reverse l]
simp_rw [reverse_rotate, reverse_reverse, rotate_eq_iff, rotate_rotate, length_rotate,
length_reverse]
rw [← length_reverse l]
let k := n % l.reverse.length
cases' hk' : k with k'
· simp_all! [k, length_reverse, ← rotate_rotate]
· cases' l with x l
· simp
· rw [Nat.mod_eq_of_lt, Nat.sub_add_cancel, rotate_length]
· exact Nat.sub_le _ _
· exact Nat.sub_lt (by simp) (by simp_all! [k])
#align list.rotate_reverse List.rotate_reverse
theorem map_rotate {β : Type*} (f : α → β) (l : List α) (n : ℕ) :
map f (l.rotate n) = (map f l).rotate n := by
induction' n with n hn IH generalizing l
· simp
· cases' l with hd tl
· simp
· simp [hn]
#align list.map_rotate List.map_rotate
theorem Nodup.rotate_congr {l : List α} (hl : l.Nodup) (hn : l ≠ []) (i j : ℕ)
(h : l.rotate i = l.rotate j) : i % l.length = j % l.length := by
rw [← rotate_mod l i, ← rotate_mod l j] at h
simpa only [head?_rotate, mod_lt, length_pos_of_ne_nil hn, get?_eq_get, Option.some_inj,
hl.get_inj_iff, Fin.ext_iff] using congr_arg head? h
#align list.nodup.rotate_congr List.Nodup.rotate_congr
theorem Nodup.rotate_congr_iff {l : List α} (hl : l.Nodup) {i j : ℕ} :
l.rotate i = l.rotate j ↔ i % l.length = j % l.length ∨ l = [] := by
rcases eq_or_ne l [] with rfl | hn
· simp
· simp only [hn, or_false]
refine ⟨hl.rotate_congr hn _ _, fun h ↦ ?_⟩
rw [← rotate_mod, h, rotate_mod]
theorem Nodup.rotate_eq_self_iff {l : List α} (hl : l.Nodup) {n : ℕ} :
l.rotate n = l ↔ n % l.length = 0 ∨ l = [] := by
rw [← zero_mod, ← hl.rotate_congr_iff, rotate_zero]
#align list.nodup.rotate_eq_self_iff List.Nodup.rotate_eq_self_iff
section IsRotated
variable (l l' : List α)
def IsRotated : Prop :=
∃ n, l.rotate n = l'
#align list.is_rotated List.IsRotated
@[inherit_doc List.IsRotated]
infixr:1000 " ~r " => IsRotated
variable {l l'}
@[refl]
theorem IsRotated.refl (l : List α) : l ~r l :=
⟨0, by simp⟩
#align list.is_rotated.refl List.IsRotated.refl
@[symm]
theorem IsRotated.symm (h : l ~r l') : l' ~r l := by
obtain ⟨n, rfl⟩ := h
cases' l with hd tl
· exists 0
· use (hd :: tl).length * n - n
rw [rotate_rotate, Nat.add_sub_cancel', rotate_length_mul]
exact Nat.le_mul_of_pos_left _ (by simp)
#align list.is_rotated.symm List.IsRotated.symm
theorem isRotated_comm : l ~r l' ↔ l' ~r l :=
⟨IsRotated.symm, IsRotated.symm⟩
#align list.is_rotated_comm List.isRotated_comm
@[simp]
protected theorem IsRotated.forall (l : List α) (n : ℕ) : l.rotate n ~r l :=
IsRotated.symm ⟨n, rfl⟩
#align list.is_rotated.forall List.IsRotated.forall
@[trans]
theorem IsRotated.trans : ∀ {l l' l'' : List α}, l ~r l' → l' ~r l'' → l ~r l''
| _, _, _, ⟨n, rfl⟩, ⟨m, rfl⟩ => ⟨n + m, by rw [rotate_rotate]⟩
#align list.is_rotated.trans List.IsRotated.trans
theorem IsRotated.eqv : Equivalence (@IsRotated α) :=
Equivalence.mk IsRotated.refl IsRotated.symm IsRotated.trans
#align list.is_rotated.eqv List.IsRotated.eqv
def IsRotated.setoid (α : Type*) : Setoid (List α) where
r := IsRotated
iseqv := IsRotated.eqv
#align list.is_rotated.setoid List.IsRotated.setoid
theorem IsRotated.perm (h : l ~r l') : l ~ l' :=
Exists.elim h fun _ hl => hl ▸ (rotate_perm _ _).symm
#align list.is_rotated.perm List.IsRotated.perm
theorem IsRotated.nodup_iff (h : l ~r l') : Nodup l ↔ Nodup l' :=
h.perm.nodup_iff
#align list.is_rotated.nodup_iff List.IsRotated.nodup_iff
theorem IsRotated.mem_iff (h : l ~r l') {a : α} : a ∈ l ↔ a ∈ l' :=
h.perm.mem_iff
#align list.is_rotated.mem_iff List.IsRotated.mem_iff
@[simp]
theorem isRotated_nil_iff : l ~r [] ↔ l = [] :=
⟨fun ⟨n, hn⟩ => by simpa using hn, fun h => h ▸ by rfl⟩
#align list.is_rotated_nil_iff List.isRotated_nil_iff
@[simp]
theorem isRotated_nil_iff' : [] ~r l ↔ [] = l := by
rw [isRotated_comm, isRotated_nil_iff, eq_comm]
#align list.is_rotated_nil_iff' List.isRotated_nil_iff'
@[simp]
theorem isRotated_singleton_iff {x : α} : l ~r [x] ↔ l = [x] :=
⟨fun ⟨n, hn⟩ => by simpa using hn, fun h => h ▸ by rfl⟩
#align list.is_rotated_singleton_iff List.isRotated_singleton_iff
@[simp]
theorem isRotated_singleton_iff' {x : α} : [x] ~r l ↔ [x] = l := by
rw [isRotated_comm, isRotated_singleton_iff, eq_comm]
#align list.is_rotated_singleton_iff' List.isRotated_singleton_iff'
theorem isRotated_concat (hd : α) (tl : List α) : (tl ++ [hd]) ~r (hd :: tl) :=
IsRotated.symm ⟨1, by simp⟩
#align list.is_rotated_concat List.isRotated_concat
theorem isRotated_append : (l ++ l') ~r (l' ++ l) :=
⟨l.length, by simp⟩
#align list.is_rotated_append List.isRotated_append
theorem IsRotated.reverse (h : l ~r l') : l.reverse ~r l'.reverse := by
obtain ⟨n, rfl⟩ := h
exact ⟨_, (reverse_rotate _ _).symm⟩
#align list.is_rotated.reverse List.IsRotated.reverse
theorem isRotated_reverse_comm_iff : l.reverse ~r l' ↔ l ~r l'.reverse := by
constructor <;>
· intro h
simpa using h.reverse
#align list.is_rotated_reverse_comm_iff List.isRotated_reverse_comm_iff
@[simp]
theorem isRotated_reverse_iff : l.reverse ~r l'.reverse ↔ l ~r l' := by
simp [isRotated_reverse_comm_iff]
#align list.is_rotated_reverse_iff List.isRotated_reverse_iff
theorem isRotated_iff_mod : l ~r l' ↔ ∃ n ≤ l.length, l.rotate n = l' := by
refine ⟨fun h => ?_, fun ⟨n, _, h⟩ => ⟨n, h⟩⟩
obtain ⟨n, rfl⟩ := h
cases' l with hd tl
· simp
· refine ⟨n % (hd :: tl).length, ?_, rotate_mod _ _⟩
refine (Nat.mod_lt _ ?_).le
simp
#align list.is_rotated_iff_mod List.isRotated_iff_mod
theorem isRotated_iff_mem_map_range : l ~r l' ↔ l' ∈ (List.range (l.length + 1)).map l.rotate := by
simp_rw [mem_map, mem_range, isRotated_iff_mod]
exact
⟨fun ⟨n, hn, h⟩ => ⟨n, Nat.lt_succ_of_le hn, h⟩,
fun ⟨n, hn, h⟩ => ⟨n, Nat.le_of_lt_succ hn, h⟩⟩
#align list.is_rotated_iff_mem_map_range List.isRotated_iff_mem_map_range
-- Porting note: @[congr] only works for equality.
-- @[congr]
theorem IsRotated.map {β : Type*} {l₁ l₂ : List α} (h : l₁ ~r l₂) (f : α → β) :
map f l₁ ~r map f l₂ := by
obtain ⟨n, rfl⟩ := h
rw [map_rotate]
use n
#align list.is_rotated.map List.IsRotated.map
def cyclicPermutations : List α → List (List α)
| [] => [[]]
| l@(_ :: _) => dropLast (zipWith (· ++ ·) (tails l) (inits l))
#align list.cyclic_permutations List.cyclicPermutations
@[simp]
theorem cyclicPermutations_nil : cyclicPermutations ([] : List α) = [[]] :=
rfl
#align list.cyclic_permutations_nil List.cyclicPermutations_nil
theorem cyclicPermutations_cons (x : α) (l : List α) :
cyclicPermutations (x :: l) = dropLast (zipWith (· ++ ·) (tails (x :: l)) (inits (x :: l))) :=
rfl
#align list.cyclic_permutations_cons List.cyclicPermutations_cons
theorem cyclicPermutations_of_ne_nil (l : List α) (h : l ≠ []) :
cyclicPermutations l = dropLast (zipWith (· ++ ·) (tails l) (inits l)) := by
obtain ⟨hd, tl, rfl⟩ := exists_cons_of_ne_nil h
exact cyclicPermutations_cons _ _
#align list.cyclic_permutations_of_ne_nil List.cyclicPermutations_of_ne_nil
theorem length_cyclicPermutations_cons (x : α) (l : List α) :
length (cyclicPermutations (x :: l)) = length l + 1 := by simp [cyclicPermutations_cons]
#align list.length_cyclic_permutations_cons List.length_cyclicPermutations_cons
@[simp]
theorem length_cyclicPermutations_of_ne_nil (l : List α) (h : l ≠ []) :
length (cyclicPermutations l) = length l := by simp [cyclicPermutations_of_ne_nil _ h]
#align list.length_cyclic_permutations_of_ne_nil List.length_cyclicPermutations_of_ne_nil
@[simp]
theorem cyclicPermutations_ne_nil : ∀ l : List α, cyclicPermutations l ≠ []
| a::l, h => by simpa using congr_arg length h
@[simp]
theorem get_cyclicPermutations (l : List α) (n : Fin (length (cyclicPermutations l))) :
(cyclicPermutations l).get n = l.rotate n := by
cases l with
| nil => simp
| cons a l =>
simp only [cyclicPermutations_cons, get_dropLast, get_zipWith, get_tails, get_inits]
rw [rotate_eq_drop_append_take (by simpa using n.2.le)]
#align list.nth_le_cyclic_permutations List.get_cyclicPermutations
@[simp]
theorem head_cyclicPermutations (l : List α) :
(cyclicPermutations l).head (cyclicPermutations_ne_nil l) = l := by
have h : 0 < length (cyclicPermutations l) := length_pos_of_ne_nil (cyclicPermutations_ne_nil _)
rw [← get_mk_zero h, get_cyclicPermutations, Fin.val_mk, rotate_zero]
@[simp]
theorem head?_cyclicPermutations (l : List α) : (cyclicPermutations l).head? = l := by
rw [head?_eq_head, head_cyclicPermutations]
theorem cyclicPermutations_injective : Function.Injective (@cyclicPermutations α) := fun l l' h ↦ by
simpa using congr_arg head? h
@[simp]
theorem cyclicPermutations_inj {l l' : List α} :
cyclicPermutations l = cyclicPermutations l' ↔ l = l' :=
cyclicPermutations_injective.eq_iff
theorem length_mem_cyclicPermutations (l : List α) (h : l' ∈ cyclicPermutations l) :
length l' = length l := by
obtain ⟨k, hk, rfl⟩ := get_of_mem h
simp
#align list.length_mem_cyclic_permutations List.length_mem_cyclicPermutations
theorem mem_cyclicPermutations_self (l : List α) : l ∈ cyclicPermutations l := by
simpa using head_mem (cyclicPermutations_ne_nil l)
#align list.mem_cyclic_permutations_self List.mem_cyclicPermutations_self
@[simp]
theorem cyclicPermutations_rotate (l : List α) (k : ℕ) :
(l.rotate k).cyclicPermutations = l.cyclicPermutations.rotate k := by
have : (l.rotate k).cyclicPermutations.length = length (l.cyclicPermutations.rotate k) := by
cases l
· simp
· rw [length_cyclicPermutations_of_ne_nil] <;> simp
refine ext_get this fun n hn hn' => ?_
rw [get_rotate, get_cyclicPermutations, rotate_rotate, ← rotate_mod, Nat.add_comm]
cases l <;> simp
#align list.cyclic_permutations_rotate List.cyclicPermutations_rotate
@[simp]
theorem mem_cyclicPermutations_iff : l ∈ cyclicPermutations l' ↔ l ~r l' := by
constructor
· simp_rw [mem_iff_get, get_cyclicPermutations]
rintro ⟨k, rfl⟩
exact .forall _ _
· rintro ⟨k, rfl⟩
rw [cyclicPermutations_rotate, mem_rotate]
apply mem_cyclicPermutations_self
#align list.mem_cyclic_permutations_iff List.mem_cyclicPermutations_iff
@[simp]
theorem cyclicPermutations_eq_nil_iff {l : List α} : cyclicPermutations l = [[]] ↔ l = [] :=
cyclicPermutations_injective.eq_iff' rfl
#align list.cyclic_permutations_eq_nil_iff List.cyclicPermutations_eq_nil_iff
@[simp]
theorem cyclicPermutations_eq_singleton_iff {l : List α} {x : α} :
cyclicPermutations l = [[x]] ↔ l = [x] :=
cyclicPermutations_injective.eq_iff' rfl
#align list.cyclic_permutations_eq_singleton_iff List.cyclicPermutations_eq_singleton_iff
protected theorem Nodup.cyclicPermutations {l : List α} (hn : Nodup l) :
Nodup (cyclicPermutations l) := by
rcases eq_or_ne l [] with rfl | hl
· simp
· rw [nodup_iff_injective_get]
rintro ⟨i, hi⟩ ⟨j, hj⟩ h
simp only [length_cyclicPermutations_of_ne_nil l hl] at hi hj
simpa [hn.rotate_congr_iff, mod_eq_of_lt, *] using h
#align list.nodup.cyclic_permutations List.Nodup.cyclicPermutations
protected theorem IsRotated.cyclicPermutations {l l' : List α} (h : l ~r l') :
l.cyclicPermutations ~r l'.cyclicPermutations := by
obtain ⟨k, rfl⟩ := h
exact ⟨k, by simp⟩
#align list.is_rotated.cyclic_permutations List.IsRotated.cyclicPermutations
@[simp]
| Mathlib/Data/List/Rotate.lean | 675 | 677 | theorem isRotated_cyclicPermutations_iff {l l' : List α} :
l.cyclicPermutations ~r l'.cyclicPermutations ↔ l ~r l' := by |
simp only [IsRotated, ← cyclicPermutations_rotate, cyclicPermutations_inj]
|
import Mathlib.Probability.Kernel.MeasurableIntegral
#align_import probability.kernel.composition from "leanprover-community/mathlib"@"3b92d54a05ee592aa2c6181a4e76b1bb7cc45d0b"
open MeasureTheory
open scoped ENNReal
namespace ProbabilityTheory
namespace kernel
variable {α β ι : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β}
section CompositionProduct
variable {γ : Type*} {mγ : MeasurableSpace γ} {s : Set (β × γ)}
noncomputable def compProdFun (κ : kernel α β) (η : kernel (α × β) γ) (a : α) (s : Set (β × γ)) :
ℝ≥0∞ :=
∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a
#align probability_theory.kernel.comp_prod_fun ProbabilityTheory.kernel.compProdFun
theorem compProdFun_empty (κ : kernel α β) (η : kernel (α × β) γ) (a : α) :
compProdFun κ η a ∅ = 0 := by
simp only [compProdFun, Set.mem_empty_iff_false, Set.setOf_false, measure_empty,
MeasureTheory.lintegral_const, zero_mul]
#align probability_theory.kernel.comp_prod_fun_empty ProbabilityTheory.kernel.compProdFun_empty
theorem compProdFun_iUnion (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α)
(f : ℕ → Set (β × γ)) (hf_meas : ∀ i, MeasurableSet (f i))
(hf_disj : Pairwise (Disjoint on f)) :
compProdFun κ η a (⋃ i, f i) = ∑' i, compProdFun κ η a (f i) := by
have h_Union :
(fun b => η (a, b) {c : γ | (b, c) ∈ ⋃ i, f i}) = fun b =>
η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i}) := by
ext1 b
congr with c
simp only [Set.mem_iUnion, Set.iSup_eq_iUnion, Set.mem_setOf_eq]
rw [compProdFun, h_Union]
have h_tsum :
(fun b => η (a, b) (⋃ i, {c : γ | (b, c) ∈ f i})) = fun b =>
∑' i, η (a, b) {c : γ | (b, c) ∈ f i} := by
ext1 b
rw [measure_iUnion]
· intro i j hij s hsi hsj c hcs
have hbci : {(b, c)} ⊆ f i := by rw [Set.singleton_subset_iff]; exact hsi hcs
have hbcj : {(b, c)} ⊆ f j := by rw [Set.singleton_subset_iff]; exact hsj hcs
simpa only [Set.bot_eq_empty, Set.le_eq_subset, Set.singleton_subset_iff,
Set.mem_empty_iff_false] using hf_disj hij hbci hbcj
· -- Porting note: behavior of `@` changed relative to lean 3, was
-- exact fun i => (@measurable_prod_mk_left β γ _ _ b) _ (hf_meas i)
exact fun i => (@measurable_prod_mk_left β γ _ _ b) (hf_meas i)
rw [h_tsum, lintegral_tsum]
· rfl
· intro i
have hm : MeasurableSet {p : (α × β) × γ | (p.1.2, p.2) ∈ f i} :=
measurable_fst.snd.prod_mk measurable_snd (hf_meas i)
exact ((measurable_kernel_prod_mk_left hm).comp measurable_prod_mk_left).aemeasurable
#align probability_theory.kernel.comp_prod_fun_Union ProbabilityTheory.kernel.compProdFun_iUnion
theorem compProdFun_tsum_right (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel η] (a : α)
(hs : MeasurableSet s) : compProdFun κ η a s = ∑' n, compProdFun κ (seq η n) a s := by
simp_rw [compProdFun, (measure_sum_seq η _).symm]
have :
∫⁻ b, Measure.sum (fun n => seq η n (a, b)) {c : γ | (b, c) ∈ s} ∂κ a =
∫⁻ b, ∑' n, seq η n (a, b) {c : γ | (b, c) ∈ s} ∂κ a := by
congr
ext1 b
rw [Measure.sum_apply]
exact measurable_prod_mk_left hs
rw [this, lintegral_tsum]
exact fun n => ((measurable_kernel_prod_mk_left (κ := (seq η n))
((measurable_fst.snd.prod_mk measurable_snd) hs)).comp measurable_prod_mk_left).aemeasurable
#align probability_theory.kernel.comp_prod_fun_tsum_right ProbabilityTheory.kernel.compProdFun_tsum_right
theorem compProdFun_tsum_left (κ : kernel α β) (η : kernel (α × β) γ) [IsSFiniteKernel κ] (a : α)
(s : Set (β × γ)) : compProdFun κ η a s = ∑' n, compProdFun (seq κ n) η a s := by
simp_rw [compProdFun, (measure_sum_seq κ _).symm, lintegral_sum_measure]
#align probability_theory.kernel.comp_prod_fun_tsum_left ProbabilityTheory.kernel.compProdFun_tsum_left
theorem compProdFun_eq_tsum (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ)
[IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) :
compProdFun κ η a s = ∑' (n) (m), compProdFun (seq κ n) (seq η m) a s := by
simp_rw [compProdFun_tsum_left κ η a s, compProdFun_tsum_right _ η a hs]
#align probability_theory.kernel.comp_prod_fun_eq_tsum ProbabilityTheory.kernel.compProdFun_eq_tsum
theorem measurable_compProdFun_of_finite (κ : kernel α β) [IsFiniteKernel κ] (η : kernel (α × β) γ)
[IsFiniteKernel η] (hs : MeasurableSet s) : Measurable fun a => compProdFun κ η a s := by
simp only [compProdFun]
have h_meas : Measurable (Function.uncurry fun a b => η (a, b) {c : γ | (b, c) ∈ s}) := by
have :
(Function.uncurry fun a b => η (a, b) {c : γ | (b, c) ∈ s}) = fun p =>
η p {c : γ | (p.2, c) ∈ s} := by
ext1 p
rw [Function.uncurry_apply_pair]
rw [this]
exact measurable_kernel_prod_mk_left (measurable_fst.snd.prod_mk measurable_snd hs)
exact h_meas.lintegral_kernel_prod_right
#align probability_theory.kernel.measurable_comp_prod_fun_of_finite ProbabilityTheory.kernel.measurable_compProdFun_of_finite
theorem measurable_compProdFun (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ)
[IsSFiniteKernel η] (hs : MeasurableSet s) : Measurable fun a => compProdFun κ η a s := by
simp_rw [compProdFun_tsum_right κ η _ hs]
refine Measurable.ennreal_tsum fun n => ?_
simp only [compProdFun]
have h_meas : Measurable (Function.uncurry fun a b => seq η n (a, b) {c : γ | (b, c) ∈ s}) := by
have :
(Function.uncurry fun a b => seq η n (a, b) {c : γ | (b, c) ∈ s}) = fun p =>
seq η n p {c : γ | (p.2, c) ∈ s} := by
ext1 p
rw [Function.uncurry_apply_pair]
rw [this]
exact measurable_kernel_prod_mk_left (measurable_fst.snd.prod_mk measurable_snd hs)
exact h_meas.lintegral_kernel_prod_right
#align probability_theory.kernel.measurable_comp_prod_fun ProbabilityTheory.kernel.measurable_compProdFun
open scoped Classical
noncomputable def compProd (κ : kernel α β) (η : kernel (α × β) γ) : kernel α (β × γ) :=
if h : IsSFiniteKernel κ ∧ IsSFiniteKernel η then
{ val := fun a ↦
Measure.ofMeasurable (fun s _ => compProdFun κ η a s) (compProdFun_empty κ η a)
(@compProdFun_iUnion _ _ _ _ _ _ κ η h.2 a)
property := by
have : IsSFiniteKernel κ := h.1
have : IsSFiniteKernel η := h.2
refine Measure.measurable_of_measurable_coe _ fun s hs => ?_
have :
(fun a =>
Measure.ofMeasurable (fun s _ => compProdFun κ η a s) (compProdFun_empty κ η a)
(compProdFun_iUnion κ η a) s) =
fun a => compProdFun κ η a s := by
ext1 a; rwa [Measure.ofMeasurable_apply]
rw [this]
exact measurable_compProdFun κ η hs }
else 0
#align probability_theory.kernel.comp_prod ProbabilityTheory.kernel.compProd
scoped[ProbabilityTheory] infixl:100 " ⊗ₖ " => ProbabilityTheory.kernel.compProd
theorem compProd_apply_eq_compProdFun (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ)
[IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) :
(κ ⊗ₖ η) a s = compProdFun κ η a s := by
rw [compProd, dif_pos]
swap
· constructor <;> infer_instance
change
Measure.ofMeasurable (fun s _ => compProdFun κ η a s) (compProdFun_empty κ η a)
(compProdFun_iUnion κ η a) s =
∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a
rw [Measure.ofMeasurable_apply _ hs]
rfl
#align probability_theory.kernel.comp_prod_apply_eq_comp_prod_fun ProbabilityTheory.kernel.compProd_apply_eq_compProdFun
theorem compProd_of_not_isSFiniteKernel_left (κ : kernel α β) (η : kernel (α × β) γ)
(h : ¬ IsSFiniteKernel κ) :
κ ⊗ₖ η = 0 := by
rw [compProd, dif_neg]
simp [h]
theorem compProd_of_not_isSFiniteKernel_right (κ : kernel α β) (η : kernel (α × β) γ)
(h : ¬ IsSFiniteKernel η) :
κ ⊗ₖ η = 0 := by
rw [compProd, dif_neg]
simp [h]
theorem compProd_apply (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ)
[IsSFiniteKernel η] (a : α) (hs : MeasurableSet s) :
(κ ⊗ₖ η) a s = ∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a :=
compProd_apply_eq_compProdFun κ η a hs
#align probability_theory.kernel.comp_prod_apply ProbabilityTheory.kernel.compProd_apply
theorem le_compProd_apply (κ : kernel α β) [IsSFiniteKernel κ] (η : kernel (α × β) γ)
[IsSFiniteKernel η] (a : α) (s : Set (β × γ)) :
∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a ≤ (κ ⊗ₖ η) a s :=
calc
∫⁻ b, η (a, b) {c | (b, c) ∈ s} ∂κ a ≤
∫⁻ b, η (a, b) {c | (b, c) ∈ toMeasurable ((κ ⊗ₖ η) a) s} ∂κ a :=
lintegral_mono fun _ => measure_mono fun _ h_mem => subset_toMeasurable _ _ h_mem
_ = (κ ⊗ₖ η) a (toMeasurable ((κ ⊗ₖ η) a) s) :=
(kernel.compProd_apply_eq_compProdFun κ η a (measurableSet_toMeasurable _ _)).symm
_ = (κ ⊗ₖ η) a s := measure_toMeasurable s
#align probability_theory.kernel.le_comp_prod_apply ProbabilityTheory.kernel.le_compProd_apply
@[simp]
lemma compProd_zero_left (κ : kernel (α × β) γ) :
(0 : kernel α β) ⊗ₖ κ = 0 := by
by_cases h : IsSFiniteKernel κ
· ext a s hs
rw [kernel.compProd_apply _ _ _ hs]
simp
· rw [kernel.compProd_of_not_isSFiniteKernel_right _ _ h]
@[simp]
lemma compProd_zero_right (κ : kernel α β) (γ : Type*) [MeasurableSpace γ] :
κ ⊗ₖ (0 : kernel (α × β) γ) = 0 := by
by_cases h : IsSFiniteKernel κ
· ext a s hs
rw [kernel.compProd_apply _ _ _ hs]
simp
· rw [kernel.compProd_of_not_isSFiniteKernel_left _ _ h]
section MapComap
variable {γ δ : Type*} {mγ : MeasurableSpace γ} {mδ : MeasurableSpace δ} {f : β → γ} {g : γ → α}
noncomputable def map (κ : kernel α β) (f : β → γ) (hf : Measurable f) : kernel α γ where
val a := (κ a).map f
property := (Measure.measurable_map _ hf).comp (kernel.measurable κ)
#align probability_theory.kernel.map ProbabilityTheory.kernel.map
theorem map_apply (κ : kernel α β) (hf : Measurable f) (a : α) : map κ f hf a = (κ a).map f :=
rfl
#align probability_theory.kernel.map_apply ProbabilityTheory.kernel.map_apply
| Mathlib/Probability/Kernel/Composition.lean | 627 | 628 | theorem map_apply' (κ : kernel α β) (hf : Measurable f) (a : α) {s : Set γ} (hs : MeasurableSet s) :
map κ f hf a s = κ a (f ⁻¹' s) := by | rw [map_apply, Measure.map_apply hf hs]
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Monic
#align_import data.polynomial.lifts from "leanprover-community/mathlib"@"63417e01fbc711beaf25fa73b6edb395c0cfddd0"
open Polynomial
noncomputable section
namespace Polynomial
universe u v w
section Semiring
variable {R : Type u} [Semiring R] {S : Type v} [Semiring S] {f : R →+* S}
def lifts (f : R →+* S) : Subsemiring S[X] :=
RingHom.rangeS (mapRingHom f)
#align polynomial.lifts Polynomial.lifts
| Mathlib/Algebra/Polynomial/Lifts.lean | 61 | 62 | theorem mem_lifts (p : S[X]) : p ∈ lifts f ↔ ∃ q : R[X], map f q = p := by |
simp only [coe_mapRingHom, lifts, RingHom.mem_rangeS]
|
import Mathlib.Analysis.Fourier.FourierTransform
import Mathlib.Analysis.InnerProductSpace.Dual
import Mathlib.Analysis.InnerProductSpace.EuclideanDist
import Mathlib.MeasureTheory.Function.ContinuousMapDense
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Measure.Haar.NormedSpace
import Mathlib.Topology.EMetricSpace.Paracompact
import Mathlib.MeasureTheory.Measure.Haar.Unique
#align_import analysis.fourier.riemann_lebesgue_lemma from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open MeasureTheory Filter Complex Set FiniteDimensional
open scoped Filter Topology Real ENNReal FourierTransform RealInnerProductSpace NNReal
variable {E V : Type*} [NormedAddCommGroup E] [NormedSpace ℂ E] {f : V → E}
section InnerProductSpace
variable [NormedAddCommGroup V] [MeasurableSpace V] [BorelSpace V] [InnerProductSpace ℝ V]
[FiniteDimensional ℝ V]
#align fourier_integrand_integrable Real.fourierIntegral_convergent_iff
variable [CompleteSpace E]
local notation3 "i" => fun (w : V) => (1 / (2 * ‖w‖ ^ 2) : ℝ) • w
theorem fourierIntegral_half_period_translate {w : V} (hw : w ≠ 0) :
(∫ v : V, 𝐞 (-⟪v, w⟫) • f (v + i w)) = -∫ v : V, 𝐞 (-⟪v, w⟫) • f v := by
have hiw : ⟪i w, w⟫ = 1 / 2 := by
rw [inner_smul_left, inner_self_eq_norm_sq_to_K, RCLike.ofReal_real_eq_id, id,
RCLike.conj_to_real, ← div_div, div_mul_cancel₀]
rwa [Ne, sq_eq_zero_iff, norm_eq_zero]
have :
(fun v : V => 𝐞 (-⟪v, w⟫) • f (v + i w)) =
fun v : V => (fun x : V => -(𝐞 (-⟪x, w⟫) • f x)) (v + i w) := by
ext1 v
simp_rw [inner_add_left, hiw, Submonoid.smul_def, Real.fourierChar_apply, neg_add, mul_add,
ofReal_add, add_mul, exp_add]
have : 2 * π * -(1 / 2) = -π := by field_simp; ring
rw [this, ofReal_neg, neg_mul, exp_neg, exp_pi_mul_I, inv_neg, inv_one, mul_neg_one, neg_smul,
neg_neg]
rw [this]
-- Porting note:
-- The next three lines had just been
-- rw [integral_add_right_eq_self (fun (x : V) ↦ -(𝐞[-⟪x, w⟫]) • f x)
-- ((fun w ↦ (1 / (2 * ‖w‖ ^ (2 : ℕ))) • w) w)]
-- Unfortunately now we need to specify `volume`.
have := integral_add_right_eq_self (μ := volume) (fun (x : V) ↦ -(𝐞 (-⟪x, w⟫) • f x))
((fun w ↦ (1 / (2 * ‖w‖ ^ (2 : ℕ))) • w) w)
rw [this]
simp only [neg_smul, integral_neg]
#align fourier_integral_half_period_translate fourierIntegral_half_period_translate
| Mathlib/Analysis/Fourier/RiemannLebesgueLemma.lean | 96 | 104 | theorem fourierIntegral_eq_half_sub_half_period_translate {w : V} (hw : w ≠ 0)
(hf : Integrable f) :
∫ v : V, 𝐞 (-⟪v, w⟫) • f v = (1 / (2 : ℂ)) • ∫ v : V, 𝐞 (-⟪v, w⟫) • (f v - f (v + i w)) := by |
simp_rw [smul_sub]
rw [integral_sub, fourierIntegral_half_period_translate hw, sub_eq_add_neg, neg_neg, ←
two_smul ℂ _, ← @smul_assoc _ _ _ _ _ _ (IsScalarTower.left ℂ), smul_eq_mul]
· norm_num
exacts [(Real.fourierIntegral_convergent_iff w).2 hf,
(Real.fourierIntegral_convergent_iff w).2 (hf.comp_add_right _)]
|
import Mathlib.Logic.Function.Basic
import Mathlib.Tactic.MkIffOfInductiveProp
#align_import data.sum.basic from "leanprover-community/mathlib"@"bd9851ca476957ea4549eb19b40e7b5ade9428cc"
universe u v w x
variable {α : Type u} {α' : Type w} {β : Type v} {β' : Type x} {γ δ : Type*}
namespace Sum
#align sum.forall Sum.forall
#align sum.exists Sum.exists
theorem exists_sum {γ : α ⊕ β → Sort*} (p : (∀ ab, γ ab) → Prop) :
(∃ fab, p fab) ↔ (∃ fa fb, p (Sum.rec fa fb)) := by
rw [← not_forall_not, forall_sum]
simp
theorem inl_injective : Function.Injective (inl : α → Sum α β) := fun _ _ ↦ inl.inj
#align sum.inl_injective Sum.inl_injective
theorem inr_injective : Function.Injective (inr : β → Sum α β) := fun _ _ ↦ inr.inj
#align sum.inr_injective Sum.inr_injective
theorem sum_rec_congr (P : α ⊕ β → Sort*) (f : ∀ i, P (inl i)) (g : ∀ i, P (inr i))
{x y : α ⊕ β} (h : x = y) :
@Sum.rec _ _ _ f g x = cast (congr_arg P h.symm) (@Sum.rec _ _ _ f g y) := by cases h; rfl
#align sum.inl.inj_iff Sum.inl.inj_iff
#align sum.inr.inj_iff Sum.inr.inj_iff
#align sum.inl_ne_inr Sum.inl_ne_inr
#align sum.inr_ne_inl Sum.inr_ne_inl
#align sum.elim Sum.elim
#align sum.elim_inl Sum.elim_inl
#align sum.elim_inr Sum.elim_inr
#align sum.elim_comp_inl Sum.elim_comp_inl
#align sum.elim_comp_inr Sum.elim_comp_inr
#align sum.elim_inl_inr Sum.elim_inl_inr
#align sum.comp_elim Sum.comp_elim
#align sum.elim_comp_inl_inr Sum.elim_comp_inl_inr
#align sum.map Sum.map
#align sum.map_inl Sum.map_inl
#align sum.map_inr Sum.map_inr
#align sum.map_map Sum.map_map
#align sum.map_comp_map Sum.map_comp_map
#align sum.map_id_id Sum.map_id_id
#align sum.elim_map Sum.elim_map
#align sum.elim_comp_map Sum.elim_comp_map
#align sum.is_left_map Sum.isLeft_map
#align sum.is_right_map Sum.isRight_map
#align sum.get_left_map Sum.getLeft?_map
#align sum.get_right_map Sum.getRight?_map
open Function (update update_eq_iff update_comp_eq_of_injective update_comp_eq_of_forall_ne)
@[simp]
theorem update_elim_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : α → γ} {g : β → γ} {i : α}
{x : γ} : update (Sum.elim f g) (inl i) x = Sum.elim (update f i x) g :=
update_eq_iff.2 ⟨by simp, by simp (config := { contextual := true })⟩
#align sum.update_elim_inl Sum.update_elim_inl
@[simp]
theorem update_elim_inr [DecidableEq β] [DecidableEq (Sum α β)] {f : α → γ} {g : β → γ} {i : β}
{x : γ} : update (Sum.elim f g) (inr i) x = Sum.elim f (update g i x) :=
update_eq_iff.2 ⟨by simp, by simp (config := { contextual := true })⟩
#align sum.update_elim_inr Sum.update_elim_inr
@[simp]
theorem update_inl_comp_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i : α}
{x : γ} : update f (inl i) x ∘ inl = update (f ∘ inl) i x :=
update_comp_eq_of_injective _ inl_injective _ _
#align sum.update_inl_comp_inl Sum.update_inl_comp_inl
@[simp]
| Mathlib/Data/Sum/Basic.lean | 132 | 134 | theorem update_inl_apply_inl [DecidableEq α] [DecidableEq (Sum α β)] {f : Sum α β → γ} {i j : α}
{x : γ} : update f (inl i) x (inl j) = update (f ∘ inl) i x j := by |
rw [← update_inl_comp_inl, Function.comp_apply]
|
import Mathlib.Algebra.Order.Group.Basic
import Mathlib.Algebra.Order.Ring.Basic
import Mathlib.Algebra.Star.Unitary
import Mathlib.Data.Nat.ModEq
import Mathlib.NumberTheory.Zsqrtd.Basic
import Mathlib.Tactic.Monotonicity
#align_import number_theory.pell_matiyasevic from "leanprover-community/mathlib"@"795b501869b9fa7aa716d5fdadd00c03f983a605"
namespace Pell
open Nat
section
variable {d : ℤ}
def IsPell : ℤ√d → Prop
| ⟨x, y⟩ => x * x - d * y * y = 1
#align pell.is_pell Pell.IsPell
theorem isPell_norm : ∀ {b : ℤ√d}, IsPell b ↔ b * star b = 1
| ⟨x, y⟩ => by simp [Zsqrtd.ext_iff, IsPell, mul_comm]; ring_nf
#align pell.is_pell_norm Pell.isPell_norm
theorem isPell_iff_mem_unitary : ∀ {b : ℤ√d}, IsPell b ↔ b ∈ unitary (ℤ√d)
| ⟨x, y⟩ => by rw [unitary.mem_iff, isPell_norm, mul_comm (star _), and_self_iff]
#align pell.is_pell_iff_mem_unitary Pell.isPell_iff_mem_unitary
theorem isPell_mul {b c : ℤ√d} (hb : IsPell b) (hc : IsPell c) : IsPell (b * c) :=
isPell_norm.2 (by simp [mul_comm, mul_left_comm c, mul_assoc,
star_mul, isPell_norm.1 hb, isPell_norm.1 hc])
#align pell.is_pell_mul Pell.isPell_mul
theorem isPell_star : ∀ {b : ℤ√d}, IsPell b ↔ IsPell (star b)
| ⟨x, y⟩ => by simp [IsPell, Zsqrtd.star_mk]
#align pell.is_pell_star Pell.isPell_star
end
section
-- Porting note: was parameter in Lean3
variable {a : ℕ} (a1 : 1 < a)
private def d (_a1 : 1 < a) :=
a * a - 1
@[simp]
theorem d_pos : 0 < d a1 :=
tsub_pos_of_lt (mul_lt_mul a1 (le_of_lt a1) (by decide) (Nat.zero_le _) : 1 * 1 < a * a)
#align pell.d_pos Pell.d_pos
-- TODO(lint): Fix double namespace issue
--@[nolint dup_namespace]
def pell : ℕ → ℕ × ℕ
-- Porting note: used pattern matching because `Nat.recOn` is noncomputable
| 0 => (1, 0)
| n+1 => ((pell n).1 * a + d a1 * (pell n).2, (pell n).1 + (pell n).2 * a)
#align pell.pell Pell.pell
def xn (n : ℕ) : ℕ :=
(pell a1 n).1
#align pell.xn Pell.xn
def yn (n : ℕ) : ℕ :=
(pell a1 n).2
#align pell.yn Pell.yn
@[simp]
theorem pell_val (n : ℕ) : pell a1 n = (xn a1 n, yn a1 n) :=
show pell a1 n = ((pell a1 n).1, (pell a1 n).2) from
match pell a1 n with
| (_, _) => rfl
#align pell.pell_val Pell.pell_val
@[simp]
theorem xn_zero : xn a1 0 = 1 :=
rfl
#align pell.xn_zero Pell.xn_zero
@[simp]
theorem yn_zero : yn a1 0 = 0 :=
rfl
#align pell.yn_zero Pell.yn_zero
@[simp]
theorem xn_succ (n : ℕ) : xn a1 (n + 1) = xn a1 n * a + d a1 * yn a1 n :=
rfl
#align pell.xn_succ Pell.xn_succ
@[simp]
theorem yn_succ (n : ℕ) : yn a1 (n + 1) = xn a1 n + yn a1 n * a :=
rfl
#align pell.yn_succ Pell.yn_succ
--@[simp] Porting note (#10618): `simp` can prove it
theorem xn_one : xn a1 1 = a := by simp
#align pell.xn_one Pell.xn_one
--@[simp] Porting note (#10618): `simp` can prove it
theorem yn_one : yn a1 1 = 1 := by simp
#align pell.yn_one Pell.yn_one
def xz (n : ℕ) : ℤ :=
xn a1 n
#align pell.xz Pell.xz
def yz (n : ℕ) : ℤ :=
yn a1 n
#align pell.yz Pell.yz
section
def az (a : ℕ) : ℤ :=
a
#align pell.az Pell.az
end
theorem asq_pos : 0 < a * a :=
le_trans (le_of_lt a1)
(by have := @Nat.mul_le_mul_left 1 a a (le_of_lt a1); rwa [mul_one] at this)
#align pell.asq_pos Pell.asq_pos
theorem dz_val : ↑(d a1) = az a * az a - 1 :=
have : 1 ≤ a * a := asq_pos a1
by rw [Pell.d, Int.ofNat_sub this]; rfl
#align pell.dz_val Pell.dz_val
@[simp]
theorem xz_succ (n : ℕ) : (xz a1 (n + 1)) = xz a1 n * az a + d a1 * yz a1 n :=
rfl
#align pell.xz_succ Pell.xz_succ
@[simp]
theorem yz_succ (n : ℕ) : yz a1 (n + 1) = xz a1 n + yz a1 n * az a :=
rfl
#align pell.yz_succ Pell.yz_succ
def pellZd (n : ℕ) : ℤ√(d a1) :=
⟨xn a1 n, yn a1 n⟩
#align pell.pell_zd Pell.pellZd
@[simp]
theorem pellZd_re (n : ℕ) : (pellZd a1 n).re = xn a1 n :=
rfl
#align pell.pell_zd_re Pell.pellZd_re
@[simp]
theorem pellZd_im (n : ℕ) : (pellZd a1 n).im = yn a1 n :=
rfl
#align pell.pell_zd_im Pell.pellZd_im
theorem isPell_nat {x y : ℕ} : IsPell (⟨x, y⟩ : ℤ√(d a1)) ↔ x * x - d a1 * y * y = 1 :=
⟨fun h =>
Nat.cast_inj.1
(by rw [Int.ofNat_sub (Int.le_of_ofNat_le_ofNat <| Int.le.intro_sub _ h)]; exact h),
fun h =>
show ((x * x : ℕ) - (d a1 * y * y : ℕ) : ℤ) = 1 by
rw [← Int.ofNat_sub <| le_of_lt <| Nat.lt_of_sub_eq_succ h, h]; rfl⟩
#align pell.is_pell_nat Pell.isPell_nat
@[simp]
theorem pellZd_succ (n : ℕ) : pellZd a1 (n + 1) = pellZd a1 n * ⟨a, 1⟩ := by ext <;> simp
#align pell.pell_zd_succ Pell.pellZd_succ
theorem isPell_one : IsPell (⟨a, 1⟩ : ℤ√(d a1)) :=
show az a * az a - d a1 * 1 * 1 = 1 by simp [dz_val]
#align pell.is_pell_one Pell.isPell_one
theorem isPell_pellZd : ∀ n : ℕ, IsPell (pellZd a1 n)
| 0 => rfl
| n + 1 => by
let o := isPell_one a1
simp; exact Pell.isPell_mul (isPell_pellZd n) o
#align pell.is_pell_pell_zd Pell.isPell_pellZd
@[simp]
theorem pell_eqz (n : ℕ) : xz a1 n * xz a1 n - d a1 * yz a1 n * yz a1 n = 1 :=
isPell_pellZd a1 n
#align pell.pell_eqz Pell.pell_eqz
@[simp]
theorem pell_eq (n : ℕ) : xn a1 n * xn a1 n - d a1 * yn a1 n * yn a1 n = 1 :=
let pn := pell_eqz a1 n
have h : (↑(xn a1 n * xn a1 n) : ℤ) - ↑(d a1 * yn a1 n * yn a1 n) = 1 := by
repeat' rw [Int.ofNat_mul]; exact pn
have hl : d a1 * yn a1 n * yn a1 n ≤ xn a1 n * xn a1 n :=
Nat.cast_le.1 <| Int.le.intro _ <| add_eq_of_eq_sub' <| Eq.symm h
Nat.cast_inj.1 (by rw [Int.ofNat_sub hl]; exact h)
#align pell.pell_eq Pell.pell_eq
instance dnsq : Zsqrtd.Nonsquare (d a1) :=
⟨fun n h =>
have : n * n + 1 = a * a := by rw [← h]; exact Nat.succ_pred_eq_of_pos (asq_pos a1)
have na : n < a := Nat.mul_self_lt_mul_self_iff.1 (by rw [← this]; exact Nat.lt_succ_self _)
have : (n + 1) * (n + 1) ≤ n * n + 1 := by rw [this]; exact Nat.mul_self_le_mul_self na
have : n + n ≤ 0 :=
@Nat.le_of_add_le_add_right _ (n * n + 1) _ (by ring_nf at this ⊢; assumption)
Nat.ne_of_gt (d_pos a1) <| by
rwa [Nat.eq_zero_of_le_zero ((Nat.le_add_left _ _).trans this)] at h⟩
#align pell.dnsq Pell.dnsq
theorem xn_ge_a_pow : ∀ n : ℕ, a ^ n ≤ xn a1 n
| 0 => le_refl 1
| n + 1 => by
simp only [_root_.pow_succ, xn_succ]
exact le_trans (Nat.mul_le_mul_right _ (xn_ge_a_pow n)) (Nat.le_add_right _ _)
#align pell.xn_ge_a_pow Pell.xn_ge_a_pow
theorem n_lt_a_pow : ∀ n : ℕ, n < a ^ n
| 0 => Nat.le_refl 1
| n + 1 => by
have IH := n_lt_a_pow n
have : a ^ n + a ^ n ≤ a ^ n * a := by
rw [← mul_two]
exact Nat.mul_le_mul_left _ a1
simp only [_root_.pow_succ, gt_iff_lt]
refine lt_of_lt_of_le ?_ this
exact add_lt_add_of_lt_of_le IH (lt_of_le_of_lt (Nat.zero_le _) IH)
#align pell.n_lt_a_pow Pell.n_lt_a_pow
theorem n_lt_xn (n) : n < xn a1 n :=
lt_of_lt_of_le (n_lt_a_pow a1 n) (xn_ge_a_pow a1 n)
#align pell.n_lt_xn Pell.n_lt_xn
theorem x_pos (n) : 0 < xn a1 n :=
lt_of_le_of_lt (Nat.zero_le n) (n_lt_xn a1 n)
#align pell.x_pos Pell.x_pos
theorem eq_pell_lem : ∀ (n) (b : ℤ√(d a1)), 1 ≤ b → IsPell b →
b ≤ pellZd a1 n → ∃ n, b = pellZd a1 n
| 0, b => fun h1 _ hl => ⟨0, @Zsqrtd.le_antisymm _ (dnsq a1) _ _ hl h1⟩
| n + 1, b => fun h1 hp h =>
have a1p : (0 : ℤ√(d a1)) ≤ ⟨a, 1⟩ := trivial
have am1p : (0 : ℤ√(d a1)) ≤ ⟨a, -1⟩ := show (_ : Nat) ≤ _ by simp; exact Nat.pred_le _
have a1m : (⟨a, 1⟩ * ⟨a, -1⟩ : ℤ√(d a1)) = 1 := isPell_norm.1 (isPell_one a1)
if ha : (⟨↑a, 1⟩ : ℤ√(d a1)) ≤ b then
let ⟨m, e⟩ :=
eq_pell_lem n (b * ⟨a, -1⟩) (by rw [← a1m]; exact mul_le_mul_of_nonneg_right ha am1p)
(isPell_mul hp (isPell_star.1 (isPell_one a1)))
(by
have t := mul_le_mul_of_nonneg_right h am1p
rwa [pellZd_succ, mul_assoc, a1m, mul_one] at t)
⟨m + 1, by
rw [show b = b * ⟨a, -1⟩ * ⟨a, 1⟩ by rw [mul_assoc, Eq.trans (mul_comm _ _) a1m]; simp,
pellZd_succ, e]⟩
else
suffices ¬1 < b from ⟨0, show b = 1 from (Or.resolve_left (lt_or_eq_of_le h1) this).symm⟩
fun h1l => by
cases' b with x y
exact by
have bm : (_ * ⟨_, _⟩ : ℤ√d a1) = 1 := Pell.isPell_norm.1 hp
have y0l : (0 : ℤ√d a1) < ⟨x - x, y - -y⟩ :=
sub_lt_sub h1l fun hn : (1 : ℤ√d a1) ≤ ⟨x, -y⟩ => by
have t := mul_le_mul_of_nonneg_left hn (le_trans zero_le_one h1)
erw [bm, mul_one] at t
exact h1l t
have yl2 : (⟨_, _⟩ : ℤ√_) < ⟨_, _⟩ :=
show (⟨x, y⟩ - ⟨x, -y⟩ : ℤ√d a1) < ⟨a, 1⟩ - ⟨a, -1⟩ from
sub_lt_sub ha fun hn : (⟨x, -y⟩ : ℤ√d a1) ≤ ⟨a, -1⟩ => by
have t := mul_le_mul_of_nonneg_right
(mul_le_mul_of_nonneg_left hn (le_trans zero_le_one h1)) a1p
erw [bm, one_mul, mul_assoc, Eq.trans (mul_comm _ _) a1m, mul_one] at t
exact ha t
simp only [sub_self, sub_neg_eq_add] at y0l; simp only [Zsqrtd.neg_re, add_right_neg,
Zsqrtd.neg_im, neg_neg] at yl2
exact
match y, y0l, (yl2 : (⟨_, _⟩ : ℤ√_) < ⟨_, _⟩) with
| 0, y0l, _ => y0l (le_refl 0)
| (y + 1 : ℕ), _, yl2 =>
yl2
(Zsqrtd.le_of_le_le (by simp [sub_eq_add_neg])
(let t := Int.ofNat_le_ofNat_of_le (Nat.succ_pos y)
add_le_add t t))
| Int.negSucc _, y0l, _ => y0l trivial
#align pell.eq_pell_lem Pell.eq_pell_lem
theorem eq_pellZd (b : ℤ√(d a1)) (b1 : 1 ≤ b) (hp : IsPell b) : ∃ n, b = pellZd a1 n :=
let ⟨n, h⟩ := @Zsqrtd.le_arch (d a1) b
eq_pell_lem a1 n b b1 hp <|
h.trans <| by
rw [Zsqrtd.natCast_val]
exact
Zsqrtd.le_of_le_le (Int.ofNat_le_ofNat_of_le <| le_of_lt <| n_lt_xn _ _)
(Int.ofNat_zero_le _)
#align pell.eq_pell_zd Pell.eq_pellZd
theorem eq_pell {x y : ℕ} (hp : x * x - d a1 * y * y = 1) : ∃ n, x = xn a1 n ∧ y = yn a1 n :=
have : (1 : ℤ√(d a1)) ≤ ⟨x, y⟩ :=
match x, hp with
| 0, (hp : 0 - _ = 1) => by rw [zero_tsub] at hp; contradiction
| x + 1, _hp =>
Zsqrtd.le_of_le_le (Int.ofNat_le_ofNat_of_le <| Nat.succ_pos x) (Int.ofNat_zero_le _)
let ⟨m, e⟩ := eq_pellZd a1 ⟨x, y⟩ this ((isPell_nat a1).2 hp)
⟨m,
match x, y, e with
| _, _, rfl => ⟨rfl, rfl⟩⟩
#align pell.eq_pell Pell.eq_pell
theorem pellZd_add (m) : ∀ n, pellZd a1 (m + n) = pellZd a1 m * pellZd a1 n
| 0 => (mul_one _).symm
| n + 1 => by rw [← add_assoc, pellZd_succ, pellZd_succ, pellZd_add _ n, ← mul_assoc]
#align pell.pell_zd_add Pell.pellZd_add
theorem xn_add (m n) : xn a1 (m + n) = xn a1 m * xn a1 n + d a1 * yn a1 m * yn a1 n := by
injection pellZd_add a1 m n with h _
zify
rw [h]
simp [pellZd]
#align pell.xn_add Pell.xn_add
theorem yn_add (m n) : yn a1 (m + n) = xn a1 m * yn a1 n + yn a1 m * xn a1 n := by
injection pellZd_add a1 m n with _ h
zify
rw [h]
simp [pellZd]
#align pell.yn_add Pell.yn_add
theorem pellZd_sub {m n} (h : n ≤ m) : pellZd a1 (m - n) = pellZd a1 m * star (pellZd a1 n) := by
let t := pellZd_add a1 n (m - n)
rw [add_tsub_cancel_of_le h] at t
rw [t, mul_comm (pellZd _ n) _, mul_assoc, isPell_norm.1 (isPell_pellZd _ _), mul_one]
#align pell.pell_zd_sub Pell.pellZd_sub
| Mathlib/NumberTheory/PellMatiyasevic.lean | 386 | 389 | theorem xz_sub {m n} (h : n ≤ m) :
xz a1 (m - n) = xz a1 m * xz a1 n - d a1 * yz a1 m * yz a1 n := by |
rw [sub_eq_add_neg, ← mul_neg]
exact congr_arg Zsqrtd.re (pellZd_sub a1 h)
|
import Mathlib.Algebra.CharP.Invertible
import Mathlib.Algebra.MvPolynomial.Variables
import Mathlib.Algebra.MvPolynomial.CommRing
import Mathlib.Algebra.MvPolynomial.Expand
import Mathlib.Data.Fintype.BigOperators
import Mathlib.Data.ZMod.Basic
#align_import ring_theory.witt_vector.witt_polynomial from "leanprover-community/mathlib"@"c3019c79074b0619edb4b27553a91b2e82242395"
open MvPolynomial
open Finset hiding map
open Finsupp (single)
--attribute [-simp] coe_eval₂_hom
variable (p : ℕ)
variable (R : Type*) [CommRing R] [DecidableEq R]
noncomputable def wittPolynomial (n : ℕ) : MvPolynomial ℕ R :=
∑ i ∈ range (n + 1), monomial (single i (p ^ (n - i))) ((p : R) ^ i)
#align witt_polynomial wittPolynomial
theorem wittPolynomial_eq_sum_C_mul_X_pow (n : ℕ) :
wittPolynomial p R n = ∑ i ∈ range (n + 1), C ((p : R) ^ i) * X i ^ p ^ (n - i) := by
apply sum_congr rfl
rintro i -
rw [monomial_eq, Finsupp.prod_single_index]
rw [pow_zero]
set_option linter.uppercaseLean3 false in
#align witt_polynomial_eq_sum_C_mul_X_pow wittPolynomial_eq_sum_C_mul_X_pow
-- Notation with ring of coefficients explicit
set_option quotPrecheck false in
@[inherit_doc]
scoped[Witt] notation "W_" => wittPolynomial p
-- Notation with ring of coefficients implicit
set_option quotPrecheck false in
@[inherit_doc]
scoped[Witt] notation "W" => wittPolynomial p _
open Witt
open MvPolynomial
section
variable {R} {S : Type*} [CommRing S]
@[simp]
theorem map_wittPolynomial (f : R →+* S) (n : ℕ) : map f (W n) = W n := by
rw [wittPolynomial, map_sum, wittPolynomial]
refine sum_congr rfl fun i _ => ?_
rw [map_monomial, RingHom.map_pow, map_natCast]
#align map_witt_polynomial map_wittPolynomial
variable (R)
@[simp]
theorem constantCoeff_wittPolynomial [hp : Fact p.Prime] (n : ℕ) :
constantCoeff (wittPolynomial p R n) = 0 := by
simp only [wittPolynomial, map_sum, constantCoeff_monomial]
rw [sum_eq_zero]
rintro i _
rw [if_neg]
rw [Finsupp.single_eq_zero]
exact ne_of_gt (pow_pos hp.1.pos _)
#align constant_coeff_witt_polynomial constantCoeff_wittPolynomial
@[simp]
theorem wittPolynomial_zero : wittPolynomial p R 0 = X 0 := by
simp only [wittPolynomial, X, sum_singleton, range_one, pow_zero, zero_add, tsub_self]
#align witt_polynomial_zero wittPolynomial_zero
@[simp]
theorem wittPolynomial_one : wittPolynomial p R 1 = C (p : R) * X 1 + X 0 ^ p := by
simp only [wittPolynomial_eq_sum_C_mul_X_pow, sum_range_succ_comm, range_one, sum_singleton,
one_mul, pow_one, C_1, pow_zero, tsub_self, tsub_zero]
#align witt_polynomial_one wittPolynomial_one
theorem aeval_wittPolynomial {A : Type*} [CommRing A] [Algebra R A] (f : ℕ → A) (n : ℕ) :
aeval f (W_ R n) = ∑ i ∈ range (n + 1), (p : A) ^ i * f i ^ p ^ (n - i) := by
simp [wittPolynomial, AlgHom.map_sum, aeval_monomial, Finsupp.prod_single_index]
#align aeval_witt_polynomial aeval_wittPolynomial
@[simp]
theorem wittPolynomial_zmod_self (n : ℕ) :
W_ (ZMod (p ^ (n + 1))) (n + 1) = expand p (W_ (ZMod (p ^ (n + 1))) n) := by
simp only [wittPolynomial_eq_sum_C_mul_X_pow]
rw [sum_range_succ, ← Nat.cast_pow, CharP.cast_eq_zero (ZMod (p ^ (n + 1))) (p ^ (n + 1)), C_0,
zero_mul, add_zero, AlgHom.map_sum, sum_congr rfl]
intro k hk
rw [AlgHom.map_mul, AlgHom.map_pow, expand_X, algHom_C, ← pow_mul, ← pow_succ']
congr
rw [mem_range] at hk
rw [add_comm, add_tsub_assoc_of_le (Nat.lt_succ_iff.mp hk), ← add_comm]
#align witt_polynomial_zmod_self wittPolynomial_zmod_self
end
noncomputable def xInTermsOfW [Invertible (p : R)] : ℕ → MvPolynomial ℕ R
| n => (X n - ∑ i : Fin n,
C ((p : R) ^ (i : ℕ)) * xInTermsOfW i ^ p ^ (n - (i : ℕ))) * C ((⅟ p : R) ^ n)
set_option linter.uppercaseLean3 false in
#align X_in_terms_of_W xInTermsOfW
theorem xInTermsOfW_eq [Invertible (p : R)] {n : ℕ} : xInTermsOfW p R n =
(X n - ∑ i ∈ range n, C ((p: R) ^ i) * xInTermsOfW p R i ^ p ^ (n - i)) * C ((⅟p : R) ^ n) := by
rw [xInTermsOfW, ← Fin.sum_univ_eq_sum_range]
set_option linter.uppercaseLean3 false in
#align X_in_terms_of_W_eq xInTermsOfW_eq
@[simp]
theorem constantCoeff_xInTermsOfW [hp : Fact p.Prime] [Invertible (p : R)] (n : ℕ) :
constantCoeff (xInTermsOfW p R n) = 0 := by
apply Nat.strongInductionOn n; clear n
intro n IH
rw [xInTermsOfW_eq, mul_comm, RingHom.map_mul, RingHom.map_sub, map_sum, constantCoeff_C,
constantCoeff_X, zero_sub, mul_neg, neg_eq_zero]
-- Porting note: here, we should be able to do `rw [sum_eq_zero]`, but the goal that
-- is created is not what we expect, and the sum is not replaced by zero...
-- is it a bug in `rw` tactic?
refine Eq.trans (?_ : _ = ((⅟↑p : R) ^ n)* 0) (mul_zero _)
congr 1
rw [sum_eq_zero]
intro m H
rw [mem_range] at H
simp only [RingHom.map_mul, RingHom.map_pow, map_natCast, IH m H]
rw [zero_pow, mul_zero]
exact pow_ne_zero _ hp.1.ne_zero
set_option linter.uppercaseLean3 false in
#align constant_coeff_X_in_terms_of_W constantCoeff_xInTermsOfW
@[simp]
theorem xInTermsOfW_zero [Invertible (p : R)] : xInTermsOfW p R 0 = X 0 := by
rw [xInTermsOfW_eq, range_zero, sum_empty, pow_zero, C_1, mul_one, sub_zero]
set_option linter.uppercaseLean3 false in
#align X_in_terms_of_W_zero xInTermsOfW_zero
section PPrime
variable [hp : Fact p.Prime]
| Mathlib/RingTheory/WittVector/WittPolynomial.lean | 248 | 274 | theorem xInTermsOfW_vars_aux (n : ℕ) :
n ∈ (xInTermsOfW p ℚ n).vars ∧ (xInTermsOfW p ℚ n).vars ⊆ range (n + 1) := by |
apply Nat.strongInductionOn n; clear n
intro n ih
rw [xInTermsOfW_eq, mul_comm, vars_C_mul _ (nonzero_of_invertible _),
vars_sub_of_disjoint, vars_X, range_succ, insert_eq]
on_goal 1 =>
simp only [true_and_iff, true_or_iff, eq_self_iff_true, mem_union, mem_singleton]
intro i
rw [mem_union, mem_union]
apply Or.imp id
on_goal 2 => rw [vars_X, disjoint_singleton_left]
all_goals
intro H
replace H := vars_sum_subset _ _ H
rw [mem_biUnion] at H
rcases H with ⟨j, hj, H⟩
rw [vars_C_mul] at H
swap
· apply pow_ne_zero
exact mod_cast hp.1.ne_zero
rw [mem_range] at hj
replace H := (ih j hj).2 (vars_pow _ _ H)
rw [mem_range] at H
· rw [mem_range]
omega
· omega
|
import Mathlib.Data.Set.Function
import Mathlib.Logic.Equiv.Defs
import Mathlib.Tactic.Core
import Mathlib.Tactic.Attr.Core
#align_import logic.equiv.local_equiv from "leanprover-community/mathlib"@"48fb5b5280e7c81672afc9524185ae994553ebf4"
open Lean Meta Elab Tactic
def mfld_cfg : Simps.Config where
attrs := [`mfld_simps]
fullyApplied := false
#align mfld_cfg mfld_cfg
open Function Set
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
structure PartialEquiv (α : Type*) (β : Type*) where
toFun : α → β
invFun : β → α
source : Set α
target : Set β
map_source' : ∀ ⦃x⦄, x ∈ source → toFun x ∈ target
map_target' : ∀ ⦃x⦄, x ∈ target → invFun x ∈ source
left_inv' : ∀ ⦃x⦄, x ∈ source → invFun (toFun x) = x
right_inv' : ∀ ⦃x⦄, x ∈ target → toFun (invFun x) = x
#align local_equiv PartialEquiv
attribute [coe] PartialEquiv.toFun
namespace PartialEquiv
variable (e : PartialEquiv α β) (e' : PartialEquiv β γ)
instance [Inhabited α] [Inhabited β] : Inhabited (PartialEquiv α β) :=
⟨⟨const α default, const β default, ∅, ∅, mapsTo_empty _ _, mapsTo_empty _ _, eqOn_empty _ _,
eqOn_empty _ _⟩⟩
@[symm]
protected def symm : PartialEquiv β α where
toFun := e.invFun
invFun := e.toFun
source := e.target
target := e.source
map_source' := e.map_target'
map_target' := e.map_source'
left_inv' := e.right_inv'
right_inv' := e.left_inv'
#align local_equiv.symm PartialEquiv.symm
instance : CoeFun (PartialEquiv α β) fun _ => α → β :=
⟨PartialEquiv.toFun⟩
def Simps.symm_apply (e : PartialEquiv α β) : β → α :=
e.symm
#align local_equiv.simps.symm_apply PartialEquiv.Simps.symm_apply
initialize_simps_projections PartialEquiv (toFun → apply, invFun → symm_apply)
-- Porting note: this can be proven with `dsimp only`
-- @[simp, mfld_simps]
-- theorem coe_mk (f : α → β) (g s t ml mr il ir) :
-- (PartialEquiv.mk f g s t ml mr il ir : α → β) = f := by dsimp only
-- #align local_equiv.coe_mk PartialEquiv.coe_mk
#noalign local_equiv.coe_mk
@[simp, mfld_simps]
theorem coe_symm_mk (f : α → β) (g s t ml mr il ir) :
((PartialEquiv.mk f g s t ml mr il ir).symm : β → α) = g :=
rfl
#align local_equiv.coe_symm_mk PartialEquiv.coe_symm_mk
-- Porting note: this is now a syntactic tautology
-- @[simp, mfld_simps]
-- theorem toFun_as_coe : e.toFun = e := rfl
-- #align local_equiv.to_fun_as_coe PartialEquiv.toFun_as_coe
#noalign local_equiv.to_fun_as_coe
@[simp, mfld_simps]
theorem invFun_as_coe : e.invFun = e.symm :=
rfl
#align local_equiv.inv_fun_as_coe PartialEquiv.invFun_as_coe
@[simp, mfld_simps]
theorem map_source {x : α} (h : x ∈ e.source) : e x ∈ e.target :=
e.map_source' h
#align local_equiv.map_source PartialEquiv.map_source
lemma map_source'' : e '' e.source ⊆ e.target :=
fun _ ⟨_, hx, hex⟩ ↦ mem_of_eq_of_mem (id hex.symm) (e.map_source' hx)
@[simp, mfld_simps]
theorem map_target {x : β} (h : x ∈ e.target) : e.symm x ∈ e.source :=
e.map_target' h
#align local_equiv.map_target PartialEquiv.map_target
@[simp, mfld_simps]
theorem left_inv {x : α} (h : x ∈ e.source) : e.symm (e x) = x :=
e.left_inv' h
#align local_equiv.left_inv PartialEquiv.left_inv
@[simp, mfld_simps]
theorem right_inv {x : β} (h : x ∈ e.target) : e (e.symm x) = x :=
e.right_inv' h
#align local_equiv.right_inv PartialEquiv.right_inv
theorem eq_symm_apply {x : α} {y : β} (hx : x ∈ e.source) (hy : y ∈ e.target) :
x = e.symm y ↔ e x = y :=
⟨fun h => by rw [← e.right_inv hy, h], fun h => by rw [← e.left_inv hx, h]⟩
#align local_equiv.eq_symm_apply PartialEquiv.eq_symm_apply
protected theorem mapsTo : MapsTo e e.source e.target := fun _ => e.map_source
#align local_equiv.maps_to PartialEquiv.mapsTo
theorem symm_mapsTo : MapsTo e.symm e.target e.source :=
e.symm.mapsTo
#align local_equiv.symm_maps_to PartialEquiv.symm_mapsTo
protected theorem leftInvOn : LeftInvOn e.symm e e.source := fun _ => e.left_inv
#align local_equiv.left_inv_on PartialEquiv.leftInvOn
protected theorem rightInvOn : RightInvOn e.symm e e.target := fun _ => e.right_inv
#align local_equiv.right_inv_on PartialEquiv.rightInvOn
protected theorem invOn : InvOn e.symm e e.source e.target :=
⟨e.leftInvOn, e.rightInvOn⟩
#align local_equiv.inv_on PartialEquiv.invOn
protected theorem injOn : InjOn e e.source :=
e.leftInvOn.injOn
#align local_equiv.inj_on PartialEquiv.injOn
protected theorem bijOn : BijOn e e.source e.target :=
e.invOn.bijOn e.mapsTo e.symm_mapsTo
#align local_equiv.bij_on PartialEquiv.bijOn
protected theorem surjOn : SurjOn e e.source e.target :=
e.bijOn.surjOn
#align local_equiv.surj_on PartialEquiv.surjOn
@[simps (config := .asFn)]
def _root_.Equiv.toPartialEquivOfImageEq (e : α ≃ β) (s : Set α) (t : Set β) (h : e '' s = t) :
PartialEquiv α β where
toFun := e
invFun := e.symm
source := s
target := t
map_source' x hx := h ▸ mem_image_of_mem _ hx
map_target' x hx := by
subst t
rcases hx with ⟨x, hx, rfl⟩
rwa [e.symm_apply_apply]
left_inv' x _ := e.symm_apply_apply x
right_inv' x _ := e.apply_symm_apply x
@[simps! (config := mfld_cfg)]
def _root_.Equiv.toPartialEquiv (e : α ≃ β) : PartialEquiv α β :=
e.toPartialEquivOfImageEq univ univ <| by rw [image_univ, e.surjective.range_eq]
#align equiv.to_local_equiv Equiv.toPartialEquiv
#align equiv.to_local_equiv_symm_apply Equiv.toPartialEquiv_symm_apply
#align equiv.to_local_equiv_target Equiv.toPartialEquiv_target
#align equiv.to_local_equiv_apply Equiv.toPartialEquiv_apply
#align equiv.to_local_equiv_source Equiv.toPartialEquiv_source
instance inhabitedOfEmpty [IsEmpty α] [IsEmpty β] : Inhabited (PartialEquiv α β) :=
⟨((Equiv.equivEmpty α).trans (Equiv.equivEmpty β).symm).toPartialEquiv⟩
#align local_equiv.inhabited_of_empty PartialEquiv.inhabitedOfEmpty
@[simps (config := .asFn)]
def copy (e : PartialEquiv α β) (f : α → β) (hf : ⇑e = f) (g : β → α) (hg : ⇑e.symm = g) (s : Set α)
(hs : e.source = s) (t : Set β) (ht : e.target = t) :
PartialEquiv α β where
toFun := f
invFun := g
source := s
target := t
map_source' _ := ht ▸ hs ▸ hf ▸ e.map_source
map_target' _ := hs ▸ ht ▸ hg ▸ e.map_target
left_inv' _ := hs ▸ hf ▸ hg ▸ e.left_inv
right_inv' _ := ht ▸ hf ▸ hg ▸ e.right_inv
#align local_equiv.copy PartialEquiv.copy
#align local_equiv.copy_source PartialEquiv.copy_source
#align local_equiv.copy_apply PartialEquiv.copy_apply
#align local_equiv.copy_symm_apply PartialEquiv.copy_symm_apply
#align local_equiv.copy_target PartialEquiv.copy_target
theorem copy_eq (e : PartialEquiv α β) (f : α → β) (hf : ⇑e = f) (g : β → α) (hg : ⇑e.symm = g)
(s : Set α) (hs : e.source = s) (t : Set β) (ht : e.target = t) :
e.copy f hf g hg s hs t ht = e := by
substs f g s t
cases e
rfl
#align local_equiv.copy_eq PartialEquiv.copy_eq
protected def toEquiv : e.source ≃ e.target where
toFun x := ⟨e x, e.map_source x.mem⟩
invFun y := ⟨e.symm y, e.map_target y.mem⟩
left_inv := fun ⟨_, hx⟩ => Subtype.eq <| e.left_inv hx
right_inv := fun ⟨_, hy⟩ => Subtype.eq <| e.right_inv hy
#align local_equiv.to_equiv PartialEquiv.toEquiv
@[simp, mfld_simps]
theorem symm_source : e.symm.source = e.target :=
rfl
#align local_equiv.symm_source PartialEquiv.symm_source
@[simp, mfld_simps]
theorem symm_target : e.symm.target = e.source :=
rfl
#align local_equiv.symm_target PartialEquiv.symm_target
@[simp, mfld_simps]
theorem symm_symm : e.symm.symm = e := by
cases e
rfl
#align local_equiv.symm_symm PartialEquiv.symm_symm
theorem symm_bijective :
Function.Bijective (PartialEquiv.symm : PartialEquiv α β → PartialEquiv β α) :=
Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩
theorem image_source_eq_target : e '' e.source = e.target :=
e.bijOn.image_eq
#align local_equiv.image_source_eq_target PartialEquiv.image_source_eq_target
theorem forall_mem_target {p : β → Prop} : (∀ y ∈ e.target, p y) ↔ ∀ x ∈ e.source, p (e x) := by
rw [← image_source_eq_target, forall_mem_image]
#align local_equiv.forall_mem_target PartialEquiv.forall_mem_target
| Mathlib/Logic/Equiv/PartialEquiv.lean | 349 | 350 | theorem exists_mem_target {p : β → Prop} : (∃ y ∈ e.target, p y) ↔ ∃ x ∈ e.source, p (e x) := by |
rw [← image_source_eq_target, exists_mem_image]
|
import Mathlib.Order.Interval.Set.Disjoint
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
#align_import measure_theory.integral.interval_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped Classical
open MeasureTheory Set Filter Function
open scoped Classical Topology Filter ENNReal Interval NNReal
variable {ι 𝕜 E F A : Type*} [NormedAddCommGroup E]
def IntervalIntegrable (f : ℝ → E) (μ : Measure ℝ) (a b : ℝ) : Prop :=
IntegrableOn f (Ioc a b) μ ∧ IntegrableOn f (Ioc b a) μ
#align interval_integrable IntervalIntegrable
section
variable {f : ℝ → E} {a b : ℝ} {μ : Measure ℝ}
theorem intervalIntegrable_iff : IntervalIntegrable f μ a b ↔ IntegrableOn f (Ι a b) μ := by
rw [uIoc_eq_union, integrableOn_union, IntervalIntegrable]
#align interval_integrable_iff intervalIntegrable_iff
theorem IntervalIntegrable.def' (h : IntervalIntegrable f μ a b) : IntegrableOn f (Ι a b) μ :=
intervalIntegrable_iff.mp h
#align interval_integrable.def IntervalIntegrable.def'
theorem intervalIntegrable_iff_integrableOn_Ioc_of_le (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioc a b) μ := by
rw [intervalIntegrable_iff, uIoc_of_le hab]
#align interval_integrable_iff_integrable_Ioc_of_le intervalIntegrable_iff_integrableOn_Ioc_of_le
theorem intervalIntegrable_iff' [NoAtoms μ] :
IntervalIntegrable f μ a b ↔ IntegrableOn f (uIcc a b) μ := by
rw [intervalIntegrable_iff, ← Icc_min_max, uIoc, integrableOn_Icc_iff_integrableOn_Ioc]
#align interval_integrable_iff' intervalIntegrable_iff'
theorem intervalIntegrable_iff_integrableOn_Icc_of_le {f : ℝ → E} {a b : ℝ} (hab : a ≤ b)
{μ : Measure ℝ} [NoAtoms μ] : IntervalIntegrable f μ a b ↔ IntegrableOn f (Icc a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioc]
#align interval_integrable_iff_integrable_Icc_of_le intervalIntegrable_iff_integrableOn_Icc_of_le
theorem intervalIntegrable_iff_integrableOn_Ico_of_le [NoAtoms μ] (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ico a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ico]
theorem intervalIntegrable_iff_integrableOn_Ioo_of_le [NoAtoms μ] (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioo a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioo]
theorem MeasureTheory.Integrable.intervalIntegrable (hf : Integrable f μ) :
IntervalIntegrable f μ a b :=
⟨hf.integrableOn, hf.integrableOn⟩
#align measure_theory.integrable.interval_integrable MeasureTheory.Integrable.intervalIntegrable
theorem MeasureTheory.IntegrableOn.intervalIntegrable (hf : IntegrableOn f [[a, b]] μ) :
IntervalIntegrable f μ a b :=
⟨MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc),
MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc')⟩
#align measure_theory.integrable_on.interval_integrable MeasureTheory.IntegrableOn.intervalIntegrable
theorem intervalIntegrable_const_iff {c : E} :
IntervalIntegrable (fun _ => c) μ a b ↔ c = 0 ∨ μ (Ι a b) < ∞ := by
simp only [intervalIntegrable_iff, integrableOn_const]
#align interval_integrable_const_iff intervalIntegrable_const_iff
@[simp]
theorem intervalIntegrable_const [IsLocallyFiniteMeasure μ] {c : E} :
IntervalIntegrable (fun _ => c) μ a b :=
intervalIntegrable_const_iff.2 <| Or.inr measure_Ioc_lt_top
#align interval_integrable_const intervalIntegrable_const
end
namespace IntervalIntegrable
section
variable {f : ℝ → E} {a b c d : ℝ} {μ ν : Measure ℝ}
@[symm]
nonrec theorem symm (h : IntervalIntegrable f μ a b) : IntervalIntegrable f μ b a :=
h.symm
#align interval_integrable.symm IntervalIntegrable.symm
@[refl, simp] -- Porting note: added `simp`
theorem refl : IntervalIntegrable f μ a a := by constructor <;> simp
#align interval_integrable.refl IntervalIntegrable.refl
@[trans]
theorem trans {a b c : ℝ} (hab : IntervalIntegrable f μ a b) (hbc : IntervalIntegrable f μ b c) :
IntervalIntegrable f μ a c :=
⟨(hab.1.union hbc.1).mono_set Ioc_subset_Ioc_union_Ioc,
(hbc.2.union hab.2).mono_set Ioc_subset_Ioc_union_Ioc⟩
#align interval_integrable.trans IntervalIntegrable.trans
theorem trans_iterate_Ico {a : ℕ → ℝ} {m n : ℕ} (hmn : m ≤ n)
(hint : ∀ k ∈ Ico m n, IntervalIntegrable f μ (a k) (a <| k + 1)) :
IntervalIntegrable f μ (a m) (a n) := by
revert hint
refine Nat.le_induction ?_ ?_ n hmn
· simp
· intro p hp IH h
exact (IH fun k hk => h k (Ico_subset_Ico_right p.le_succ hk)).trans (h p (by simp [hp]))
#align interval_integrable.trans_iterate_Ico IntervalIntegrable.trans_iterate_Ico
theorem trans_iterate {a : ℕ → ℝ} {n : ℕ}
(hint : ∀ k < n, IntervalIntegrable f μ (a k) (a <| k + 1)) :
IntervalIntegrable f μ (a 0) (a n) :=
trans_iterate_Ico bot_le fun k hk => hint k hk.2
#align interval_integrable.trans_iterate IntervalIntegrable.trans_iterate
theorem neg (h : IntervalIntegrable f μ a b) : IntervalIntegrable (-f) μ a b :=
⟨h.1.neg, h.2.neg⟩
#align interval_integrable.neg IntervalIntegrable.neg
theorem norm (h : IntervalIntegrable f μ a b) : IntervalIntegrable (fun x => ‖f x‖) μ a b :=
⟨h.1.norm, h.2.norm⟩
#align interval_integrable.norm IntervalIntegrable.norm
theorem intervalIntegrable_norm_iff {f : ℝ → E} {μ : Measure ℝ} {a b : ℝ}
(hf : AEStronglyMeasurable f (μ.restrict (Ι a b))) :
IntervalIntegrable (fun t => ‖f t‖) μ a b ↔ IntervalIntegrable f μ a b := by
simp_rw [intervalIntegrable_iff, IntegrableOn]; exact integrable_norm_iff hf
#align interval_integrable.interval_integrable_norm_iff IntervalIntegrable.intervalIntegrable_norm_iff
theorem abs {f : ℝ → ℝ} (h : IntervalIntegrable f μ a b) :
IntervalIntegrable (fun x => |f x|) μ a b :=
h.norm
#align interval_integrable.abs IntervalIntegrable.abs
theorem mono (hf : IntervalIntegrable f ν a b) (h1 : [[c, d]] ⊆ [[a, b]]) (h2 : μ ≤ ν) :
IntervalIntegrable f μ c d :=
intervalIntegrable_iff.mpr <| hf.def'.mono (uIoc_subset_uIoc_of_uIcc_subset_uIcc h1) h2
#align interval_integrable.mono IntervalIntegrable.mono
theorem mono_measure (hf : IntervalIntegrable f ν a b) (h : μ ≤ ν) : IntervalIntegrable f μ a b :=
hf.mono Subset.rfl h
#align interval_integrable.mono_measure IntervalIntegrable.mono_measure
theorem mono_set (hf : IntervalIntegrable f μ a b) (h : [[c, d]] ⊆ [[a, b]]) :
IntervalIntegrable f μ c d :=
hf.mono h le_rfl
#align interval_integrable.mono_set IntervalIntegrable.mono_set
theorem mono_set_ae (hf : IntervalIntegrable f μ a b) (h : Ι c d ≤ᵐ[μ] Ι a b) :
IntervalIntegrable f μ c d :=
intervalIntegrable_iff.mpr <| hf.def'.mono_set_ae h
#align interval_integrable.mono_set_ae IntervalIntegrable.mono_set_ae
theorem mono_set' (hf : IntervalIntegrable f μ a b) (hsub : Ι c d ⊆ Ι a b) :
IntervalIntegrable f μ c d :=
hf.mono_set_ae <| eventually_of_forall hsub
#align interval_integrable.mono_set' IntervalIntegrable.mono_set'
theorem mono_fun [NormedAddCommGroup F] {g : ℝ → F} (hf : IntervalIntegrable f μ a b)
(hgm : AEStronglyMeasurable g (μ.restrict (Ι a b)))
(hle : (fun x => ‖g x‖) ≤ᵐ[μ.restrict (Ι a b)] fun x => ‖f x‖) : IntervalIntegrable g μ a b :=
intervalIntegrable_iff.2 <| hf.def'.integrable.mono hgm hle
#align interval_integrable.mono_fun IntervalIntegrable.mono_fun
theorem mono_fun' {g : ℝ → ℝ} (hg : IntervalIntegrable g μ a b)
(hfm : AEStronglyMeasurable f (μ.restrict (Ι a b)))
(hle : (fun x => ‖f x‖) ≤ᵐ[μ.restrict (Ι a b)] g) : IntervalIntegrable f μ a b :=
intervalIntegrable_iff.2 <| hg.def'.integrable.mono' hfm hle
#align interval_integrable.mono_fun' IntervalIntegrable.mono_fun'
protected theorem aestronglyMeasurable (h : IntervalIntegrable f μ a b) :
AEStronglyMeasurable f (μ.restrict (Ioc a b)) :=
h.1.aestronglyMeasurable
#align interval_integrable.ae_strongly_measurable IntervalIntegrable.aestronglyMeasurable
protected theorem aestronglyMeasurable' (h : IntervalIntegrable f μ a b) :
AEStronglyMeasurable f (μ.restrict (Ioc b a)) :=
h.2.aestronglyMeasurable
#align interval_integrable.ae_strongly_measurable' IntervalIntegrable.aestronglyMeasurable'
end
variable [NormedRing A] {f g : ℝ → E} {a b : ℝ} {μ : Measure ℝ}
theorem smul [NormedField 𝕜] [NormedSpace 𝕜 E] {f : ℝ → E} {a b : ℝ} {μ : Measure ℝ}
(h : IntervalIntegrable f μ a b) (r : 𝕜) : IntervalIntegrable (r • f) μ a b :=
⟨h.1.smul r, h.2.smul r⟩
#align interval_integrable.smul IntervalIntegrable.smul
@[simp]
theorem add (hf : IntervalIntegrable f μ a b) (hg : IntervalIntegrable g μ a b) :
IntervalIntegrable (fun x => f x + g x) μ a b :=
⟨hf.1.add hg.1, hf.2.add hg.2⟩
#align interval_integrable.add IntervalIntegrable.add
@[simp]
theorem sub (hf : IntervalIntegrable f μ a b) (hg : IntervalIntegrable g μ a b) :
IntervalIntegrable (fun x => f x - g x) μ a b :=
⟨hf.1.sub hg.1, hf.2.sub hg.2⟩
#align interval_integrable.sub IntervalIntegrable.sub
theorem sum (s : Finset ι) {f : ι → ℝ → E} (h : ∀ i ∈ s, IntervalIntegrable (f i) μ a b) :
IntervalIntegrable (∑ i ∈ s, f i) μ a b :=
⟨integrable_finset_sum' s fun i hi => (h i hi).1, integrable_finset_sum' s fun i hi => (h i hi).2⟩
#align interval_integrable.sum IntervalIntegrable.sum
theorem mul_continuousOn {f g : ℝ → A} (hf : IntervalIntegrable f μ a b)
(hg : ContinuousOn g [[a, b]]) : IntervalIntegrable (fun x => f x * g x) μ a b := by
rw [intervalIntegrable_iff] at hf ⊢
exact hf.mul_continuousOn_of_subset hg measurableSet_Ioc isCompact_uIcc Ioc_subset_Icc_self
#align interval_integrable.mul_continuous_on IntervalIntegrable.mul_continuousOn
theorem continuousOn_mul {f g : ℝ → A} (hf : IntervalIntegrable f μ a b)
(hg : ContinuousOn g [[a, b]]) : IntervalIntegrable (fun x => g x * f x) μ a b := by
rw [intervalIntegrable_iff] at hf ⊢
exact hf.continuousOn_mul_of_subset hg isCompact_uIcc measurableSet_Ioc Ioc_subset_Icc_self
#align interval_integrable.continuous_on_mul IntervalIntegrable.continuousOn_mul
@[simp]
theorem const_mul {f : ℝ → A} (hf : IntervalIntegrable f μ a b) (c : A) :
IntervalIntegrable (fun x => c * f x) μ a b :=
hf.continuousOn_mul continuousOn_const
#align interval_integrable.const_mul IntervalIntegrable.const_mul
@[simp]
theorem mul_const {f : ℝ → A} (hf : IntervalIntegrable f μ a b) (c : A) :
IntervalIntegrable (fun x => f x * c) μ a b :=
hf.mul_continuousOn continuousOn_const
#align interval_integrable.mul_const IntervalIntegrable.mul_const
@[simp]
theorem div_const {𝕜 : Type*} {f : ℝ → 𝕜} [NormedField 𝕜] (h : IntervalIntegrable f μ a b)
(c : 𝕜) : IntervalIntegrable (fun x => f x / c) μ a b := by
simpa only [div_eq_mul_inv] using mul_const h c⁻¹
#align interval_integrable.div_const IntervalIntegrable.div_const
theorem comp_mul_left (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (c * x)) volume (a / c) (b / c) := by
rcases eq_or_ne c 0 with (hc | hc); · rw [hc]; simp
rw [intervalIntegrable_iff'] at hf ⊢
have A : MeasurableEmbedding fun x => x * c⁻¹ :=
(Homeomorph.mulRight₀ _ (inv_ne_zero hc)).closedEmbedding.measurableEmbedding
rw [← Real.smul_map_volume_mul_right (inv_ne_zero hc), IntegrableOn, Measure.restrict_smul,
integrable_smul_measure (by simpa : ENNReal.ofReal |c⁻¹| ≠ 0) ENNReal.ofReal_ne_top,
← IntegrableOn, MeasurableEmbedding.integrableOn_map_iff A]
convert hf using 1
· ext; simp only [comp_apply]; congr 1; field_simp
· rw [preimage_mul_const_uIcc (inv_ne_zero hc)]; field_simp [hc]
#align interval_integrable.comp_mul_left IntervalIntegrable.comp_mul_left
-- Porting note (#10756): new lemma
theorem comp_mul_left_iff {c : ℝ} (hc : c ≠ 0) :
IntervalIntegrable (fun x ↦ f (c * x)) volume (a / c) (b / c) ↔
IntervalIntegrable f volume a b :=
⟨fun h ↦ by simpa [hc] using h.comp_mul_left c⁻¹, (comp_mul_left · c)⟩
theorem comp_mul_right (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (x * c)) volume (a / c) (b / c) := by
simpa only [mul_comm] using comp_mul_left hf c
#align interval_integrable.comp_mul_right IntervalIntegrable.comp_mul_right
theorem comp_add_right (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (x + c)) volume (a - c) (b - c) := by
wlog h : a ≤ b generalizing a b
· exact IntervalIntegrable.symm (this hf.symm (le_of_not_le h))
rw [intervalIntegrable_iff'] at hf ⊢
have A : MeasurableEmbedding fun x => x + c :=
(Homeomorph.addRight c).closedEmbedding.measurableEmbedding
rw [← map_add_right_eq_self volume c] at hf
convert (MeasurableEmbedding.integrableOn_map_iff A).mp hf using 1
rw [preimage_add_const_uIcc]
#align interval_integrable.comp_add_right IntervalIntegrable.comp_add_right
theorem comp_add_left (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (c + x)) volume (a - c) (b - c) := by
simpa only [add_comm] using IntervalIntegrable.comp_add_right hf c
#align interval_integrable.comp_add_left IntervalIntegrable.comp_add_left
theorem comp_sub_right (hf : IntervalIntegrable f volume a b) (c : ℝ) :
IntervalIntegrable (fun x => f (x - c)) volume (a + c) (b + c) := by
simpa only [sub_neg_eq_add] using IntervalIntegrable.comp_add_right hf (-c)
#align interval_integrable.comp_sub_right IntervalIntegrable.comp_sub_right
| Mathlib/MeasureTheory/Integral/IntervalIntegral.lean | 355 | 357 | theorem iff_comp_neg :
IntervalIntegrable f volume a b ↔ IntervalIntegrable (fun x => f (-x)) volume (-a) (-b) := by |
rw [← comp_mul_left_iff (neg_ne_zero.2 one_ne_zero)]; simp [div_neg]
|
import Mathlib.Analysis.InnerProductSpace.TwoDim
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Basic
#align_import geometry.euclidean.angle.oriented.basic from "leanprover-community/mathlib"@"f0c8bf9245297a541f468be517f1bde6195105e9"
noncomputable section
open FiniteDimensional Complex
open scoped Real RealInnerProductSpace ComplexConjugate
namespace Orientation
attribute [local instance] Complex.finrank_real_complex_fact
variable {V V' : Type*}
variable [NormedAddCommGroup V] [NormedAddCommGroup V']
variable [InnerProductSpace ℝ V] [InnerProductSpace ℝ V']
variable [Fact (finrank ℝ V = 2)] [Fact (finrank ℝ V' = 2)] (o : Orientation ℝ V (Fin 2))
local notation "ω" => o.areaForm
def oangle (x y : V) : Real.Angle :=
Complex.arg (o.kahler x y)
#align orientation.oangle Orientation.oangle
theorem continuousAt_oangle {x : V × V} (hx1 : x.1 ≠ 0) (hx2 : x.2 ≠ 0) :
ContinuousAt (fun y : V × V => o.oangle y.1 y.2) x := by
refine (Complex.continuousAt_arg_coe_angle ?_).comp ?_
· exact o.kahler_ne_zero hx1 hx2
exact ((continuous_ofReal.comp continuous_inner).add
((continuous_ofReal.comp o.areaForm'.continuous₂).mul continuous_const)).continuousAt
#align orientation.continuous_at_oangle Orientation.continuousAt_oangle
@[simp]
theorem oangle_zero_left (x : V) : o.oangle 0 x = 0 := by simp [oangle]
#align orientation.oangle_zero_left Orientation.oangle_zero_left
@[simp]
theorem oangle_zero_right (x : V) : o.oangle x 0 = 0 := by simp [oangle]
#align orientation.oangle_zero_right Orientation.oangle_zero_right
@[simp]
theorem oangle_self (x : V) : o.oangle x x = 0 := by
rw [oangle, kahler_apply_self, ← ofReal_pow]
convert QuotientAddGroup.mk_zero (AddSubgroup.zmultiples (2 * π))
apply arg_ofReal_of_nonneg
positivity
#align orientation.oangle_self Orientation.oangle_self
theorem left_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ 0 := by
rintro rfl; simp at h
#align orientation.left_ne_zero_of_oangle_ne_zero Orientation.left_ne_zero_of_oangle_ne_zero
theorem right_ne_zero_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : y ≠ 0 := by
rintro rfl; simp at h
#align orientation.right_ne_zero_of_oangle_ne_zero Orientation.right_ne_zero_of_oangle_ne_zero
theorem ne_of_oangle_ne_zero {x y : V} (h : o.oangle x y ≠ 0) : x ≠ y := by
rintro rfl; simp at h
#align orientation.ne_of_oangle_ne_zero Orientation.ne_of_oangle_ne_zero
theorem left_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_pi Orientation.left_ne_zero_of_oangle_eq_pi
theorem right_ne_zero_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_pi Orientation.right_ne_zero_of_oangle_eq_pi
theorem ne_of_oangle_eq_pi {x y : V} (h : o.oangle x y = π) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_pi Orientation.ne_of_oangle_eq_pi
theorem left_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_pi_div_two Orientation.left_ne_zero_of_oangle_eq_pi_div_two
theorem right_ne_zero_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_pi_div_two Orientation.right_ne_zero_of_oangle_eq_pi_div_two
theorem ne_of_oangle_eq_pi_div_two {x y : V} (h : o.oangle x y = (π / 2 : ℝ)) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_pi_div_two Orientation.ne_of_oangle_eq_pi_div_two
theorem left_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) :
x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.left_ne_zero_of_oangle_eq_neg_pi_div_two
theorem right_ne_zero_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) :
y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two Orientation.right_ne_zero_of_oangle_eq_neg_pi_div_two
theorem ne_of_oangle_eq_neg_pi_div_two {x y : V} (h : o.oangle x y = (-π / 2 : ℝ)) : x ≠ y :=
o.ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : o.oangle x y ≠ 0)
#align orientation.ne_of_oangle_eq_neg_pi_div_two Orientation.ne_of_oangle_eq_neg_pi_div_two
theorem left_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ 0 :=
o.left_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.left_ne_zero_of_oangle_sign_ne_zero Orientation.left_ne_zero_of_oangle_sign_ne_zero
theorem right_ne_zero_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : y ≠ 0 :=
o.right_ne_zero_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.right_ne_zero_of_oangle_sign_ne_zero Orientation.right_ne_zero_of_oangle_sign_ne_zero
theorem ne_of_oangle_sign_ne_zero {x y : V} (h : (o.oangle x y).sign ≠ 0) : x ≠ y :=
o.ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align orientation.ne_of_oangle_sign_ne_zero Orientation.ne_of_oangle_sign_ne_zero
theorem left_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ 0 :=
o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.left_ne_zero_of_oangle_sign_eq_one Orientation.left_ne_zero_of_oangle_sign_eq_one
theorem right_ne_zero_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : y ≠ 0 :=
o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.right_ne_zero_of_oangle_sign_eq_one Orientation.right_ne_zero_of_oangle_sign_eq_one
theorem ne_of_oangle_sign_eq_one {x y : V} (h : (o.oangle x y).sign = 1) : x ≠ y :=
o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.ne_of_oangle_sign_eq_one Orientation.ne_of_oangle_sign_eq_one
theorem left_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ 0 :=
o.left_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.left_ne_zero_of_oangle_sign_eq_neg_one Orientation.left_ne_zero_of_oangle_sign_eq_neg_one
theorem right_ne_zero_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : y ≠ 0 :=
o.right_ne_zero_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.right_ne_zero_of_oangle_sign_eq_neg_one Orientation.right_ne_zero_of_oangle_sign_eq_neg_one
theorem ne_of_oangle_sign_eq_neg_one {x y : V} (h : (o.oangle x y).sign = -1) : x ≠ y :=
o.ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (o.oangle x y).sign ≠ 0)
#align orientation.ne_of_oangle_sign_eq_neg_one Orientation.ne_of_oangle_sign_eq_neg_one
theorem oangle_rev (x y : V) : o.oangle y x = -o.oangle x y := by
simp only [oangle, o.kahler_swap y x, Complex.arg_conj_coe_angle]
#align orientation.oangle_rev Orientation.oangle_rev
@[simp]
theorem oangle_add_oangle_rev (x y : V) : o.oangle x y + o.oangle y x = 0 := by
simp [o.oangle_rev y x]
#align orientation.oangle_add_oangle_rev Orientation.oangle_add_oangle_rev
theorem oangle_neg_left {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) :
o.oangle (-x) y = o.oangle x y + π := by
simp only [oangle, map_neg]
convert Complex.arg_neg_coe_angle _
exact o.kahler_ne_zero hx hy
#align orientation.oangle_neg_left Orientation.oangle_neg_left
theorem oangle_neg_right {x y : V} (hx : x ≠ 0) (hy : y ≠ 0) :
o.oangle x (-y) = o.oangle x y + π := by
simp only [oangle, map_neg]
convert Complex.arg_neg_coe_angle _
exact o.kahler_ne_zero hx hy
#align orientation.oangle_neg_right Orientation.oangle_neg_right
@[simp]
theorem two_zsmul_oangle_neg_left (x y : V) :
(2 : ℤ) • o.oangle (-x) y = (2 : ℤ) • o.oangle x y := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [o.oangle_neg_left hx hy]
#align orientation.two_zsmul_oangle_neg_left Orientation.two_zsmul_oangle_neg_left
@[simp]
theorem two_zsmul_oangle_neg_right (x y : V) :
(2 : ℤ) • o.oangle x (-y) = (2 : ℤ) • o.oangle x y := by
by_cases hx : x = 0
· simp [hx]
· by_cases hy : y = 0
· simp [hy]
· simp [o.oangle_neg_right hx hy]
#align orientation.two_zsmul_oangle_neg_right Orientation.two_zsmul_oangle_neg_right
@[simp]
theorem oangle_neg_neg (x y : V) : o.oangle (-x) (-y) = o.oangle x y := by simp [oangle]
#align orientation.oangle_neg_neg Orientation.oangle_neg_neg
| Mathlib/Geometry/Euclidean/Angle/Oriented/Basic.lean | 247 | 248 | theorem oangle_neg_left_eq_neg_right (x y : V) : o.oangle (-x) y = o.oangle x (-y) := by |
rw [← neg_neg y, oangle_neg_neg, neg_neg]
|
import Mathlib.NumberTheory.LegendreSymbol.QuadraticReciprocity
#align_import number_theory.legendre_symbol.jacobi_symbol from "leanprover-community/mathlib"@"74a27133cf29446a0983779e37c8f829a85368f3"
section Jacobi
open Nat ZMod
-- Since we need the fact that the factors are prime, we use `List.pmap`.
def jacobiSym (a : ℤ) (b : ℕ) : ℤ :=
(b.factors.pmap (fun p pp => @legendreSym p ⟨pp⟩ a) fun _ pf => prime_of_mem_factors pf).prod
#align jacobi_sym jacobiSym
-- Notation for the Jacobi symbol.
@[inherit_doc]
scoped[NumberTheorySymbols] notation "J(" a " | " b ")" => jacobiSym a b
-- Porting note: Without the following line, Lean expected `|` on several lines, e.g. line 102.
open NumberTheorySymbols
namespace jacobiSym
@[simp]
theorem zero_right (a : ℤ) : J(a | 0) = 1 := by
simp only [jacobiSym, factors_zero, List.prod_nil, List.pmap]
#align jacobi_sym.zero_right jacobiSym.zero_right
@[simp]
theorem one_right (a : ℤ) : J(a | 1) = 1 := by
simp only [jacobiSym, factors_one, List.prod_nil, List.pmap]
#align jacobi_sym.one_right jacobiSym.one_right
theorem legendreSym.to_jacobiSym (p : ℕ) [fp : Fact p.Prime] (a : ℤ) :
legendreSym p a = J(a | p) := by
simp only [jacobiSym, factors_prime fp.1, List.prod_cons, List.prod_nil, mul_one, List.pmap]
#align legendre_sym.to_jacobi_sym jacobiSym.legendreSym.to_jacobiSym
theorem mul_right' (a : ℤ) {b₁ b₂ : ℕ} (hb₁ : b₁ ≠ 0) (hb₂ : b₂ ≠ 0) :
J(a | b₁ * b₂) = J(a | b₁) * J(a | b₂) := by
rw [jacobiSym, ((perm_factors_mul hb₁ hb₂).pmap _).prod_eq, List.pmap_append, List.prod_append]
case h => exact fun p hp => (List.mem_append.mp hp).elim prime_of_mem_factors prime_of_mem_factors
case _ => rfl
#align jacobi_sym.mul_right' jacobiSym.mul_right'
theorem mul_right (a : ℤ) (b₁ b₂ : ℕ) [NeZero b₁] [NeZero b₂] :
J(a | b₁ * b₂) = J(a | b₁) * J(a | b₂) :=
mul_right' a (NeZero.ne b₁) (NeZero.ne b₂)
#align jacobi_sym.mul_right jacobiSym.mul_right
theorem trichotomy (a : ℤ) (b : ℕ) : J(a | b) = 0 ∨ J(a | b) = 1 ∨ J(a | b) = -1 :=
((@SignType.castHom ℤ _ _).toMonoidHom.mrange.copy {0, 1, -1} <| by
rw [Set.pair_comm];
exact (SignType.range_eq SignType.castHom).symm).list_prod_mem
(by
intro _ ha'
rcases List.mem_pmap.mp ha' with ⟨p, hp, rfl⟩
haveI : Fact p.Prime := ⟨prime_of_mem_factors hp⟩
exact quadraticChar_isQuadratic (ZMod p) a)
#align jacobi_sym.trichotomy jacobiSym.trichotomy
@[simp]
theorem one_left (b : ℕ) : J(1 | b) = 1 :=
List.prod_eq_one fun z hz => by
let ⟨p, hp, he⟩ := List.mem_pmap.1 hz
-- Porting note: The line 150 was added because Lean does not synthesize the instance
-- `[Fact (Nat.Prime p)]` automatically (it is needed for `legendreSym.at_one`)
letI : Fact p.Prime := ⟨prime_of_mem_factors hp⟩
rw [← he, legendreSym.at_one]
#align jacobi_sym.one_left jacobiSym.one_left
theorem mul_left (a₁ a₂ : ℤ) (b : ℕ) : J(a₁ * a₂ | b) = J(a₁ | b) * J(a₂ | b) := by
simp_rw [jacobiSym, List.pmap_eq_map_attach, legendreSym.mul _ _ _];
exact List.prod_map_mul (α := ℤ) (l := (factors b).attach)
(f := fun x ↦ @legendreSym x {out := prime_of_mem_factors x.2} a₁)
(g := fun x ↦ @legendreSym x {out := prime_of_mem_factors x.2} a₂)
#align jacobi_sym.mul_left jacobiSym.mul_left
theorem eq_zero_iff_not_coprime {a : ℤ} {b : ℕ} [NeZero b] : J(a | b) = 0 ↔ a.gcd b ≠ 1 :=
List.prod_eq_zero_iff.trans
(by
rw [List.mem_pmap, Int.gcd_eq_natAbs, Ne, Prime.not_coprime_iff_dvd]
-- Porting note: Initially, `and_assoc'` and `and_comm'` were used on line 164 but they have
-- been deprecated so we replace them with `and_assoc` and `and_comm`
simp_rw [legendreSym.eq_zero_iff _ _, intCast_zmod_eq_zero_iff_dvd,
mem_factors (NeZero.ne b), ← Int.natCast_dvd, Int.natCast_dvd_natCast, exists_prop,
and_assoc, and_comm])
#align jacobi_sym.eq_zero_iff_not_coprime jacobiSym.eq_zero_iff_not_coprime
protected theorem ne_zero {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) ≠ 0 := by
cases' eq_zero_or_neZero b with hb
· rw [hb, zero_right]
exact one_ne_zero
· contrapose! h; exact eq_zero_iff_not_coprime.1 h
#align jacobi_sym.ne_zero jacobiSym.ne_zero
theorem eq_zero_iff {a : ℤ} {b : ℕ} : J(a | b) = 0 ↔ b ≠ 0 ∧ a.gcd b ≠ 1 :=
⟨fun h => by
rcases eq_or_ne b 0 with hb | hb
· rw [hb, zero_right] at h; cases h
exact ⟨hb, mt jacobiSym.ne_zero <| Classical.not_not.2 h⟩, fun ⟨hb, h⟩ => by
rw [← neZero_iff] at hb; exact eq_zero_iff_not_coprime.2 h⟩
#align jacobi_sym.eq_zero_iff jacobiSym.eq_zero_iff
theorem zero_left {b : ℕ} (hb : 1 < b) : J(0 | b) = 0 :=
(@eq_zero_iff_not_coprime 0 b ⟨ne_zero_of_lt hb⟩).mpr <| by
rw [Int.gcd_zero_left, Int.natAbs_ofNat]; exact hb.ne'
#align jacobi_sym.zero_left jacobiSym.zero_left
theorem eq_one_or_neg_one {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) = 1 ∨ J(a | b) = -1 :=
(trichotomy a b).resolve_left <| jacobiSym.ne_zero h
#align jacobi_sym.eq_one_or_neg_one jacobiSym.eq_one_or_neg_one
theorem pow_left (a : ℤ) (e b : ℕ) : J(a ^ e | b) = J(a | b) ^ e :=
Nat.recOn e (by rw [_root_.pow_zero, _root_.pow_zero, one_left]) fun _ ih => by
rw [_root_.pow_succ, _root_.pow_succ, mul_left, ih]
#align jacobi_sym.pow_left jacobiSym.pow_left
theorem pow_right (a : ℤ) (b e : ℕ) : J(a | b ^ e) = J(a | b) ^ e := by
induction' e with e ih
· rw [Nat.pow_zero, _root_.pow_zero, one_right]
· cases' eq_zero_or_neZero b with hb
· rw [hb, zero_pow e.succ_ne_zero, zero_right, one_pow]
· rw [_root_.pow_succ, _root_.pow_succ, mul_right, ih]
#align jacobi_sym.pow_right jacobiSym.pow_right
theorem sq_one {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a | b) ^ 2 = 1 := by
cases' eq_one_or_neg_one h with h₁ h₁ <;> rw [h₁] <;> rfl
#align jacobi_sym.sq_one jacobiSym.sq_one
theorem sq_one' {a : ℤ} {b : ℕ} (h : a.gcd b = 1) : J(a ^ 2 | b) = 1 := by rw [pow_left, sq_one h]
#align jacobi_sym.sq_one' jacobiSym.sq_one'
theorem mod_left (a : ℤ) (b : ℕ) : J(a | b) = J(a % b | b) :=
congr_arg List.prod <|
List.pmap_congr _
(by
-- Porting note: Lean does not synthesize the instance [Fact (Nat.Prime p)] automatically
-- (it is needed for `legendreSym.mod` on line 227). Thus, we name the hypothesis
-- `Nat.Prime p` explicitly on line 224 and prove `Fact (Nat.Prime p)` on line 225.
rintro p hp _ h₂
letI : Fact p.Prime := ⟨h₂⟩
conv_rhs =>
rw [legendreSym.mod, Int.emod_emod_of_dvd _ (Int.natCast_dvd_natCast.2 <|
dvd_of_mem_factors hp), ← legendreSym.mod])
#align jacobi_sym.mod_left jacobiSym.mod_left
theorem mod_left' {a₁ a₂ : ℤ} {b : ℕ} (h : a₁ % b = a₂ % b) : J(a₁ | b) = J(a₂ | b) := by
rw [mod_left, h, ← mod_left]
#align jacobi_sym.mod_left' jacobiSym.mod_left'
theorem prime_dvd_of_eq_neg_one {p : ℕ} [Fact p.Prime] {a : ℤ} (h : J(a | p) = -1) {x y : ℤ}
(hxy : ↑p ∣ (x ^ 2 - a * y ^ 2 : ℤ)) : ↑p ∣ x ∧ ↑p ∣ y := by
rw [← legendreSym.to_jacobiSym] at h
exact legendreSym.prime_dvd_of_eq_neg_one h hxy
#align jacobi_sym.prime_dvd_of_eq_neg_one jacobiSym.prime_dvd_of_eq_neg_one
theorem list_prod_left {l : List ℤ} {n : ℕ} : J(l.prod | n) = (l.map fun a => J(a | n)).prod := by
induction' l with n l' ih
· simp only [List.prod_nil, List.map_nil, one_left]
· rw [List.map, List.prod_cons, List.prod_cons, mul_left, ih]
#align jacobi_sym.list_prod_left jacobiSym.list_prod_left
theorem list_prod_right {a : ℤ} {l : List ℕ} (hl : ∀ n ∈ l, n ≠ 0) :
J(a | l.prod) = (l.map fun n => J(a | n)).prod := by
induction' l with n l' ih
· simp only [List.prod_nil, one_right, List.map_nil]
· have hn := hl n (List.mem_cons_self n l')
-- `n ≠ 0`
have hl' := List.prod_ne_zero fun hf => hl 0 (List.mem_cons_of_mem _ hf) rfl
-- `l'.prod ≠ 0`
have h := fun m hm => hl m (List.mem_cons_of_mem _ hm)
-- `∀ (m : ℕ), m ∈ l' → m ≠ 0`
rw [List.map, List.prod_cons, List.prod_cons, mul_right' a hn hl', ih h]
#align jacobi_sym.list_prod_right jacobiSym.list_prod_right
| Mathlib/NumberTheory/LegendreSymbol/JacobiSymbol.lean | 280 | 289 | theorem eq_neg_one_at_prime_divisor_of_eq_neg_one {a : ℤ} {n : ℕ} (h : J(a | n) = -1) :
∃ p : ℕ, p.Prime ∧ p ∣ n ∧ J(a | p) = -1 := by |
have hn₀ : n ≠ 0 := by
rintro rfl
rw [zero_right, eq_neg_self_iff] at h
exact one_ne_zero h
have hf₀ : ∀ p ∈ n.factors, p ≠ 0 := fun p hp => (Nat.pos_of_mem_factors hp).ne.symm
rw [← Nat.prod_factors hn₀, list_prod_right hf₀] at h
obtain ⟨p, hmem, hj⟩ := List.mem_map.mp (List.neg_one_mem_of_prod_eq_neg_one h)
exact ⟨p, Nat.prime_of_mem_factors hmem, Nat.dvd_of_mem_factors hmem, hj⟩
|
import Mathlib.Topology.Constructions
#align_import topology.continuous_on from "leanprover-community/mathlib"@"d4f691b9e5f94cfc64639973f3544c95f8d5d494"
open Set Filter Function Topology Filter
variable {α : Type*} {β : Type*} {γ : Type*} {δ : Type*}
variable [TopologicalSpace α]
@[simp]
theorem nhds_bind_nhdsWithin {a : α} {s : Set α} : ((𝓝 a).bind fun x => 𝓝[s] x) = 𝓝[s] a :=
bind_inf_principal.trans <| congr_arg₂ _ nhds_bind_nhds rfl
#align nhds_bind_nhds_within nhds_bind_nhdsWithin
@[simp]
theorem eventually_nhds_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝 a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x :=
Filter.ext_iff.1 nhds_bind_nhdsWithin { x | p x }
#align eventually_nhds_nhds_within eventually_nhds_nhdsWithin
theorem eventually_nhdsWithin_iff {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ x in 𝓝[s] a, p x) ↔ ∀ᶠ x in 𝓝 a, x ∈ s → p x :=
eventually_inf_principal
#align eventually_nhds_within_iff eventually_nhdsWithin_iff
theorem frequently_nhdsWithin_iff {z : α} {s : Set α} {p : α → Prop} :
(∃ᶠ x in 𝓝[s] z, p x) ↔ ∃ᶠ x in 𝓝 z, p x ∧ x ∈ s :=
frequently_inf_principal.trans <| by simp only [and_comm]
#align frequently_nhds_within_iff frequently_nhdsWithin_iff
theorem mem_closure_ne_iff_frequently_within {z : α} {s : Set α} :
z ∈ closure (s \ {z}) ↔ ∃ᶠ x in 𝓝[≠] z, x ∈ s := by
simp [mem_closure_iff_frequently, frequently_nhdsWithin_iff]
#align mem_closure_ne_iff_frequently_within mem_closure_ne_iff_frequently_within
@[simp]
theorem eventually_nhdsWithin_nhdsWithin {a : α} {s : Set α} {p : α → Prop} :
(∀ᶠ y in 𝓝[s] a, ∀ᶠ x in 𝓝[s] y, p x) ↔ ∀ᶠ x in 𝓝[s] a, p x := by
refine ⟨fun h => ?_, fun h => (eventually_nhds_nhdsWithin.2 h).filter_mono inf_le_left⟩
simp only [eventually_nhdsWithin_iff] at h ⊢
exact h.mono fun x hx hxs => (hx hxs).self_of_nhds hxs
#align eventually_nhds_within_nhds_within eventually_nhdsWithin_nhdsWithin
theorem nhdsWithin_eq (a : α) (s : Set α) :
𝓝[s] a = ⨅ t ∈ { t : Set α | a ∈ t ∧ IsOpen t }, 𝓟 (t ∩ s) :=
((nhds_basis_opens a).inf_principal s).eq_biInf
#align nhds_within_eq nhdsWithin_eq
theorem nhdsWithin_univ (a : α) : 𝓝[Set.univ] a = 𝓝 a := by
rw [nhdsWithin, principal_univ, inf_top_eq]
#align nhds_within_univ nhdsWithin_univ
theorem nhdsWithin_hasBasis {p : β → Prop} {s : β → Set α} {a : α} (h : (𝓝 a).HasBasis p s)
(t : Set α) : (𝓝[t] a).HasBasis p fun i => s i ∩ t :=
h.inf_principal t
#align nhds_within_has_basis nhdsWithin_hasBasis
theorem nhdsWithin_basis_open (a : α) (t : Set α) :
(𝓝[t] a).HasBasis (fun u => a ∈ u ∧ IsOpen u) fun u => u ∩ t :=
nhdsWithin_hasBasis (nhds_basis_opens a) t
#align nhds_within_basis_open nhdsWithin_basis_open
theorem mem_nhdsWithin {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u, IsOpen u ∧ a ∈ u ∧ u ∩ s ⊆ t := by
simpa only [and_assoc, and_left_comm] using (nhdsWithin_basis_open a s).mem_iff
#align mem_nhds_within mem_nhdsWithin
theorem mem_nhdsWithin_iff_exists_mem_nhds_inter {t : Set α} {a : α} {s : Set α} :
t ∈ 𝓝[s] a ↔ ∃ u ∈ 𝓝 a, u ∩ s ⊆ t :=
(nhdsWithin_hasBasis (𝓝 a).basis_sets s).mem_iff
#align mem_nhds_within_iff_exists_mem_nhds_inter mem_nhdsWithin_iff_exists_mem_nhds_inter
theorem diff_mem_nhdsWithin_compl {x : α} {s : Set α} (hs : s ∈ 𝓝 x) (t : Set α) :
s \ t ∈ 𝓝[tᶜ] x :=
diff_mem_inf_principal_compl hs t
#align diff_mem_nhds_within_compl diff_mem_nhdsWithin_compl
theorem diff_mem_nhdsWithin_diff {x : α} {s t : Set α} (hs : s ∈ 𝓝[t] x) (t' : Set α) :
s \ t' ∈ 𝓝[t \ t'] x := by
rw [nhdsWithin, diff_eq, diff_eq, ← inf_principal, ← inf_assoc]
exact inter_mem_inf hs (mem_principal_self _)
#align diff_mem_nhds_within_diff diff_mem_nhdsWithin_diff
theorem nhds_of_nhdsWithin_of_nhds {s t : Set α} {a : α} (h1 : s ∈ 𝓝 a) (h2 : t ∈ 𝓝[s] a) :
t ∈ 𝓝 a := by
rcases mem_nhdsWithin_iff_exists_mem_nhds_inter.mp h2 with ⟨_, Hw, hw⟩
exact (𝓝 a).sets_of_superset ((𝓝 a).inter_sets Hw h1) hw
#align nhds_of_nhds_within_of_nhds nhds_of_nhdsWithin_of_nhds
theorem mem_nhdsWithin_iff_eventually {s t : Set α} {x : α} :
t ∈ 𝓝[s] x ↔ ∀ᶠ y in 𝓝 x, y ∈ s → y ∈ t :=
eventually_inf_principal
#align mem_nhds_within_iff_eventually mem_nhdsWithin_iff_eventually
theorem mem_nhdsWithin_iff_eventuallyEq {s t : Set α} {x : α} :
t ∈ 𝓝[s] x ↔ s =ᶠ[𝓝 x] (s ∩ t : Set α) := by
simp_rw [mem_nhdsWithin_iff_eventually, eventuallyEq_set, mem_inter_iff, iff_self_and]
#align mem_nhds_within_iff_eventually_eq mem_nhdsWithin_iff_eventuallyEq
theorem nhdsWithin_eq_iff_eventuallyEq {s t : Set α} {x : α} : 𝓝[s] x = 𝓝[t] x ↔ s =ᶠ[𝓝 x] t :=
set_eventuallyEq_iff_inf_principal.symm
#align nhds_within_eq_iff_eventually_eq nhdsWithin_eq_iff_eventuallyEq
theorem nhdsWithin_le_iff {s t : Set α} {x : α} : 𝓝[s] x ≤ 𝓝[t] x ↔ t ∈ 𝓝[s] x :=
set_eventuallyLE_iff_inf_principal_le.symm.trans set_eventuallyLE_iff_mem_inf_principal
#align nhds_within_le_iff nhdsWithin_le_iff
-- Porting note: golfed, dropped an unneeded assumption
theorem preimage_nhdsWithin_coinduced' {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t)
(hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) :
π ⁻¹' s ∈ 𝓝[t] a := by
lift a to t using h
replace hs : (fun x : t => π x) ⁻¹' s ∈ 𝓝 a := preimage_nhds_coinduced hs
rwa [← map_nhds_subtype_val, mem_map]
#align preimage_nhds_within_coinduced' preimage_nhdsWithin_coinduced'ₓ
theorem mem_nhdsWithin_of_mem_nhds {s t : Set α} {a : α} (h : s ∈ 𝓝 a) : s ∈ 𝓝[t] a :=
mem_inf_of_left h
#align mem_nhds_within_of_mem_nhds mem_nhdsWithin_of_mem_nhds
theorem self_mem_nhdsWithin {a : α} {s : Set α} : s ∈ 𝓝[s] a :=
mem_inf_of_right (mem_principal_self s)
#align self_mem_nhds_within self_mem_nhdsWithin
theorem eventually_mem_nhdsWithin {a : α} {s : Set α} : ∀ᶠ x in 𝓝[s] a, x ∈ s :=
self_mem_nhdsWithin
#align eventually_mem_nhds_within eventually_mem_nhdsWithin
theorem inter_mem_nhdsWithin (s : Set α) {t : Set α} {a : α} (h : t ∈ 𝓝 a) : s ∩ t ∈ 𝓝[s] a :=
inter_mem self_mem_nhdsWithin (mem_inf_of_left h)
#align inter_mem_nhds_within inter_mem_nhdsWithin
theorem nhdsWithin_mono (a : α) {s t : Set α} (h : s ⊆ t) : 𝓝[s] a ≤ 𝓝[t] a :=
inf_le_inf_left _ (principal_mono.mpr h)
#align nhds_within_mono nhdsWithin_mono
theorem pure_le_nhdsWithin {a : α} {s : Set α} (ha : a ∈ s) : pure a ≤ 𝓝[s] a :=
le_inf (pure_le_nhds a) (le_principal_iff.2 ha)
#align pure_le_nhds_within pure_le_nhdsWithin
theorem mem_of_mem_nhdsWithin {a : α} {s t : Set α} (ha : a ∈ s) (ht : t ∈ 𝓝[s] a) : a ∈ t :=
pure_le_nhdsWithin ha ht
#align mem_of_mem_nhds_within mem_of_mem_nhdsWithin
theorem Filter.Eventually.self_of_nhdsWithin {p : α → Prop} {s : Set α} {x : α}
(h : ∀ᶠ y in 𝓝[s] x, p y) (hx : x ∈ s) : p x :=
mem_of_mem_nhdsWithin hx h
#align filter.eventually.self_of_nhds_within Filter.Eventually.self_of_nhdsWithin
theorem tendsto_const_nhdsWithin {l : Filter β} {s : Set α} {a : α} (ha : a ∈ s) :
Tendsto (fun _ : β => a) l (𝓝[s] a) :=
tendsto_const_pure.mono_right <| pure_le_nhdsWithin ha
#align tendsto_const_nhds_within tendsto_const_nhdsWithin
theorem nhdsWithin_restrict'' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝[s] a) :
𝓝[s] a = 𝓝[s ∩ t] a :=
le_antisymm (le_inf inf_le_left (le_principal_iff.mpr (inter_mem self_mem_nhdsWithin h)))
(inf_le_inf_left _ (principal_mono.mpr Set.inter_subset_left))
#align nhds_within_restrict'' nhdsWithin_restrict''
theorem nhdsWithin_restrict' {a : α} (s : Set α) {t : Set α} (h : t ∈ 𝓝 a) : 𝓝[s] a = 𝓝[s ∩ t] a :=
nhdsWithin_restrict'' s <| mem_inf_of_left h
#align nhds_within_restrict' nhdsWithin_restrict'
theorem nhdsWithin_restrict {a : α} (s : Set α) {t : Set α} (h₀ : a ∈ t) (h₁ : IsOpen t) :
𝓝[s] a = 𝓝[s ∩ t] a :=
nhdsWithin_restrict' s (IsOpen.mem_nhds h₁ h₀)
#align nhds_within_restrict nhdsWithin_restrict
theorem nhdsWithin_le_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[t] a ≤ 𝓝[s] a :=
nhdsWithin_le_iff.mpr h
#align nhds_within_le_of_mem nhdsWithin_le_of_mem
theorem nhdsWithin_le_nhds {a : α} {s : Set α} : 𝓝[s] a ≤ 𝓝 a := by
rw [← nhdsWithin_univ]
apply nhdsWithin_le_of_mem
exact univ_mem
#align nhds_within_le_nhds nhdsWithin_le_nhds
theorem nhdsWithin_eq_nhdsWithin' {a : α} {s t u : Set α} (hs : s ∈ 𝓝 a) (h₂ : t ∩ s = u ∩ s) :
𝓝[t] a = 𝓝[u] a := by rw [nhdsWithin_restrict' t hs, nhdsWithin_restrict' u hs, h₂]
#align nhds_within_eq_nhds_within' nhdsWithin_eq_nhdsWithin'
theorem nhdsWithin_eq_nhdsWithin {a : α} {s t u : Set α} (h₀ : a ∈ s) (h₁ : IsOpen s)
(h₂ : t ∩ s = u ∩ s) : 𝓝[t] a = 𝓝[u] a := by
rw [nhdsWithin_restrict t h₀ h₁, nhdsWithin_restrict u h₀ h₁, h₂]
#align nhds_within_eq_nhds_within nhdsWithin_eq_nhdsWithin
@[simp] theorem nhdsWithin_eq_nhds {a : α} {s : Set α} : 𝓝[s] a = 𝓝 a ↔ s ∈ 𝓝 a :=
inf_eq_left.trans le_principal_iff
#align nhds_within_eq_nhds nhdsWithin_eq_nhds
theorem IsOpen.nhdsWithin_eq {a : α} {s : Set α} (h : IsOpen s) (ha : a ∈ s) : 𝓝[s] a = 𝓝 a :=
nhdsWithin_eq_nhds.2 <| h.mem_nhds ha
#align is_open.nhds_within_eq IsOpen.nhdsWithin_eq
theorem preimage_nhds_within_coinduced {π : α → β} {s : Set β} {t : Set α} {a : α} (h : a ∈ t)
(ht : IsOpen t)
(hs : s ∈ @nhds β (.coinduced (fun x : t => π x) inferInstance) (π a)) :
π ⁻¹' s ∈ 𝓝 a := by
rw [← ht.nhdsWithin_eq h]
exact preimage_nhdsWithin_coinduced' h hs
#align preimage_nhds_within_coinduced preimage_nhds_within_coinduced
@[simp]
theorem nhdsWithin_empty (a : α) : 𝓝[∅] a = ⊥ := by rw [nhdsWithin, principal_empty, inf_bot_eq]
#align nhds_within_empty nhdsWithin_empty
theorem nhdsWithin_union (a : α) (s t : Set α) : 𝓝[s ∪ t] a = 𝓝[s] a ⊔ 𝓝[t] a := by
delta nhdsWithin
rw [← inf_sup_left, sup_principal]
#align nhds_within_union nhdsWithin_union
theorem nhdsWithin_biUnion {ι} {I : Set ι} (hI : I.Finite) (s : ι → Set α) (a : α) :
𝓝[⋃ i ∈ I, s i] a = ⨆ i ∈ I, 𝓝[s i] a :=
Set.Finite.induction_on hI (by simp) fun _ _ hT ↦ by
simp only [hT, nhdsWithin_union, iSup_insert, biUnion_insert]
#align nhds_within_bUnion nhdsWithin_biUnion
theorem nhdsWithin_sUnion {S : Set (Set α)} (hS : S.Finite) (a : α) :
𝓝[⋃₀ S] a = ⨆ s ∈ S, 𝓝[s] a := by
rw [sUnion_eq_biUnion, nhdsWithin_biUnion hS]
#align nhds_within_sUnion nhdsWithin_sUnion
theorem nhdsWithin_iUnion {ι} [Finite ι] (s : ι → Set α) (a : α) :
𝓝[⋃ i, s i] a = ⨆ i, 𝓝[s i] a := by
rw [← sUnion_range, nhdsWithin_sUnion (finite_range s), iSup_range]
#align nhds_within_Union nhdsWithin_iUnion
theorem nhdsWithin_inter (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓝[t] a := by
delta nhdsWithin
rw [inf_left_comm, inf_assoc, inf_principal, ← inf_assoc, inf_idem]
#align nhds_within_inter nhdsWithin_inter
theorem nhdsWithin_inter' (a : α) (s t : Set α) : 𝓝[s ∩ t] a = 𝓝[s] a ⊓ 𝓟 t := by
delta nhdsWithin
rw [← inf_principal, inf_assoc]
#align nhds_within_inter' nhdsWithin_inter'
theorem nhdsWithin_inter_of_mem {a : α} {s t : Set α} (h : s ∈ 𝓝[t] a) : 𝓝[s ∩ t] a = 𝓝[t] a := by
rw [nhdsWithin_inter, inf_eq_right]
exact nhdsWithin_le_of_mem h
#align nhds_within_inter_of_mem nhdsWithin_inter_of_mem
theorem nhdsWithin_inter_of_mem' {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) : 𝓝[s ∩ t] a = 𝓝[s] a := by
rw [inter_comm, nhdsWithin_inter_of_mem h]
#align nhds_within_inter_of_mem' nhdsWithin_inter_of_mem'
@[simp]
theorem nhdsWithin_singleton (a : α) : 𝓝[{a}] a = pure a := by
rw [nhdsWithin, principal_singleton, inf_eq_right.2 (pure_le_nhds a)]
#align nhds_within_singleton nhdsWithin_singleton
@[simp]
theorem nhdsWithin_insert (a : α) (s : Set α) : 𝓝[insert a s] a = pure a ⊔ 𝓝[s] a := by
rw [← singleton_union, nhdsWithin_union, nhdsWithin_singleton]
#align nhds_within_insert nhdsWithin_insert
theorem mem_nhdsWithin_insert {a : α} {s t : Set α} : t ∈ 𝓝[insert a s] a ↔ a ∈ t ∧ t ∈ 𝓝[s] a := by
simp
#align mem_nhds_within_insert mem_nhdsWithin_insert
| Mathlib/Topology/ContinuousOn.lean | 289 | 290 | theorem insert_mem_nhdsWithin_insert {a : α} {s t : Set α} (h : t ∈ 𝓝[s] a) :
insert a t ∈ 𝓝[insert a s] a := by | simp [mem_of_superset h]
|
import Mathlib.Analysis.SpecialFunctions.Exp
import Mathlib.Data.Nat.Factorization.Basic
import Mathlib.Analysis.NormedSpace.Real
#align_import analysis.special_functions.log.basic from "leanprover-community/mathlib"@"f23a09ce6d3f367220dc3cecad6b7eb69eb01690"
open Set Filter Function
open Topology
noncomputable section
namespace Real
variable {x y : ℝ}
-- @[pp_nodot] -- Porting note: removed
noncomputable def log (x : ℝ) : ℝ :=
if hx : x = 0 then 0 else expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩
#align real.log Real.log
theorem log_of_ne_zero (hx : x ≠ 0) : log x = expOrderIso.symm ⟨|x|, abs_pos.2 hx⟩ :=
dif_neg hx
#align real.log_of_ne_zero Real.log_of_ne_zero
theorem log_of_pos (hx : 0 < x) : log x = expOrderIso.symm ⟨x, hx⟩ := by
rw [log_of_ne_zero hx.ne']
congr
exact abs_of_pos hx
#align real.log_of_pos Real.log_of_pos
theorem exp_log_eq_abs (hx : x ≠ 0) : exp (log x) = |x| := by
rw [log_of_ne_zero hx, ← coe_expOrderIso_apply, OrderIso.apply_symm_apply, Subtype.coe_mk]
#align real.exp_log_eq_abs Real.exp_log_eq_abs
theorem exp_log (hx : 0 < x) : exp (log x) = x := by
rw [exp_log_eq_abs hx.ne']
exact abs_of_pos hx
#align real.exp_log Real.exp_log
theorem exp_log_of_neg (hx : x < 0) : exp (log x) = -x := by
rw [exp_log_eq_abs (ne_of_lt hx)]
exact abs_of_neg hx
#align real.exp_log_of_neg Real.exp_log_of_neg
theorem le_exp_log (x : ℝ) : x ≤ exp (log x) := by
by_cases h_zero : x = 0
· rw [h_zero, log, dif_pos rfl, exp_zero]
exact zero_le_one
· rw [exp_log_eq_abs h_zero]
exact le_abs_self _
#align real.le_exp_log Real.le_exp_log
@[simp]
theorem log_exp (x : ℝ) : log (exp x) = x :=
exp_injective <| exp_log (exp_pos x)
#align real.log_exp Real.log_exp
theorem surjOn_log : SurjOn log (Ioi 0) univ := fun x _ => ⟨exp x, exp_pos x, log_exp x⟩
#align real.surj_on_log Real.surjOn_log
theorem log_surjective : Surjective log := fun x => ⟨exp x, log_exp x⟩
#align real.log_surjective Real.log_surjective
@[simp]
theorem range_log : range log = univ :=
log_surjective.range_eq
#align real.range_log Real.range_log
@[simp]
theorem log_zero : log 0 = 0 :=
dif_pos rfl
#align real.log_zero Real.log_zero
@[simp]
theorem log_one : log 1 = 0 :=
exp_injective <| by rw [exp_log zero_lt_one, exp_zero]
#align real.log_one Real.log_one
@[simp]
theorem log_abs (x : ℝ) : log |x| = log x := by
by_cases h : x = 0
· simp [h]
· rw [← exp_eq_exp, exp_log_eq_abs h, exp_log_eq_abs (abs_pos.2 h).ne', abs_abs]
#align real.log_abs Real.log_abs
@[simp]
theorem log_neg_eq_log (x : ℝ) : log (-x) = log x := by rw [← log_abs x, ← log_abs (-x), abs_neg]
#align real.log_neg_eq_log Real.log_neg_eq_log
theorem sinh_log {x : ℝ} (hx : 0 < x) : sinh (log x) = (x - x⁻¹) / 2 := by
rw [sinh_eq, exp_neg, exp_log hx]
#align real.sinh_log Real.sinh_log
theorem cosh_log {x : ℝ} (hx : 0 < x) : cosh (log x) = (x + x⁻¹) / 2 := by
rw [cosh_eq, exp_neg, exp_log hx]
#align real.cosh_log Real.cosh_log
theorem surjOn_log' : SurjOn log (Iio 0) univ := fun x _ =>
⟨-exp x, neg_lt_zero.2 <| exp_pos x, by rw [log_neg_eq_log, log_exp]⟩
#align real.surj_on_log' Real.surjOn_log'
theorem log_mul (hx : x ≠ 0) (hy : y ≠ 0) : log (x * y) = log x + log y :=
exp_injective <| by
rw [exp_log_eq_abs (mul_ne_zero hx hy), exp_add, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_mul]
#align real.log_mul Real.log_mul
theorem log_div (hx : x ≠ 0) (hy : y ≠ 0) : log (x / y) = log x - log y :=
exp_injective <| by
rw [exp_log_eq_abs (div_ne_zero hx hy), exp_sub, exp_log_eq_abs hx, exp_log_eq_abs hy, abs_div]
#align real.log_div Real.log_div
@[simp]
theorem log_inv (x : ℝ) : log x⁻¹ = -log x := by
by_cases hx : x = 0; · simp [hx]
rw [← exp_eq_exp, exp_log_eq_abs (inv_ne_zero hx), exp_neg, exp_log_eq_abs hx, abs_inv]
#align real.log_inv Real.log_inv
theorem log_le_log_iff (h : 0 < x) (h₁ : 0 < y) : log x ≤ log y ↔ x ≤ y := by
rw [← exp_le_exp, exp_log h, exp_log h₁]
#align real.log_le_log Real.log_le_log_iff
@[gcongr]
lemma log_le_log (hx : 0 < x) (hxy : x ≤ y) : log x ≤ log y :=
(log_le_log_iff hx (hx.trans_le hxy)).2 hxy
@[gcongr]
theorem log_lt_log (hx : 0 < x) (h : x < y) : log x < log y := by
rwa [← exp_lt_exp, exp_log hx, exp_log (lt_trans hx h)]
#align real.log_lt_log Real.log_lt_log
theorem log_lt_log_iff (hx : 0 < x) (hy : 0 < y) : log x < log y ↔ x < y := by
rw [← exp_lt_exp, exp_log hx, exp_log hy]
#align real.log_lt_log_iff Real.log_lt_log_iff
theorem log_le_iff_le_exp (hx : 0 < x) : log x ≤ y ↔ x ≤ exp y := by rw [← exp_le_exp, exp_log hx]
#align real.log_le_iff_le_exp Real.log_le_iff_le_exp
theorem log_lt_iff_lt_exp (hx : 0 < x) : log x < y ↔ x < exp y := by rw [← exp_lt_exp, exp_log hx]
#align real.log_lt_iff_lt_exp Real.log_lt_iff_lt_exp
theorem le_log_iff_exp_le (hy : 0 < y) : x ≤ log y ↔ exp x ≤ y := by rw [← exp_le_exp, exp_log hy]
#align real.le_log_iff_exp_le Real.le_log_iff_exp_le
theorem lt_log_iff_exp_lt (hy : 0 < y) : x < log y ↔ exp x < y := by rw [← exp_lt_exp, exp_log hy]
#align real.lt_log_iff_exp_lt Real.lt_log_iff_exp_lt
theorem log_pos_iff (hx : 0 < x) : 0 < log x ↔ 1 < x := by
rw [← log_one]
exact log_lt_log_iff zero_lt_one hx
#align real.log_pos_iff Real.log_pos_iff
theorem log_pos (hx : 1 < x) : 0 < log x :=
(log_pos_iff (lt_trans zero_lt_one hx)).2 hx
#align real.log_pos Real.log_pos
theorem log_pos_of_lt_neg_one (hx : x < -1) : 0 < log x := by
rw [← neg_neg x, log_neg_eq_log]
have : 1 < -x := by linarith
exact log_pos this
| Mathlib/Analysis/SpecialFunctions/Log/Basic.lean | 185 | 187 | theorem log_neg_iff (h : 0 < x) : log x < 0 ↔ x < 1 := by |
rw [← log_one]
exact log_lt_log_iff h zero_lt_one
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Arctan
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine
#align_import geometry.euclidean.angle.unoriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open scoped EuclideanGeometry
open scoped Real
open scoped RealInnerProductSpace
namespace InnerProductGeometry
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
theorem norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two (x y : V) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ angle x y = π / 2 := by
rw [norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero]
exact inner_eq_zero_iff_angle_eq_pi_div_two x y
#align inner_product_geometry.norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two InnerProductGeometry.norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two
theorem norm_add_sq_eq_norm_sq_add_norm_sq' (x y : V) (h : angle x y = π / 2) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ :=
(norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two x y).2 h
#align inner_product_geometry.norm_add_sq_eq_norm_sq_add_norm_sq' InnerProductGeometry.norm_add_sq_eq_norm_sq_add_norm_sq'
theorem norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two (x y : V) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ angle x y = π / 2 := by
rw [norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero]
exact inner_eq_zero_iff_angle_eq_pi_div_two x y
#align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two
theorem norm_sub_sq_eq_norm_sq_add_norm_sq' (x y : V) (h : angle x y = π / 2) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ :=
(norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two x y).2 h
#align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq' InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq'
theorem angle_add_eq_arccos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
angle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by
rw [angle, inner_add_right, h, add_zero, real_inner_self_eq_norm_mul_norm]
by_cases hx : ‖x‖ = 0; · simp [hx]
rw [div_mul_eq_div_div, mul_self_div_self]
#align inner_product_geometry.angle_add_eq_arccos_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero
theorem angle_add_eq_arcsin_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) :
angle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by
have hxy : ‖x + y‖ ^ 2 ≠ 0 := by
rw [pow_two, norm_add_sq_eq_norm_sq_add_norm_sq_real h, ne_comm]
refine ne_of_lt ?_
rcases h0 with (h0 | h0)
· exact
Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _)
· exact
Left.add_pos_of_nonneg_of_pos (mul_self_nonneg _) (mul_self_pos.2 (norm_ne_zero_iff.2 h0))
rw [angle_add_eq_arccos_of_inner_eq_zero h,
Real.arccos_eq_arcsin (div_nonneg (norm_nonneg _) (norm_nonneg _)), div_pow, one_sub_div hxy]
nth_rw 1 [pow_two]
rw [norm_add_sq_eq_norm_sq_add_norm_sq_real h, pow_two, add_sub_cancel_left, ← pow_two, ← div_pow,
Real.sqrt_sq (div_nonneg (norm_nonneg _) (norm_nonneg _))]
#align inner_product_geometry.angle_add_eq_arcsin_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero
theorem angle_add_eq_arctan_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) :
angle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by
rw [angle_add_eq_arcsin_of_inner_eq_zero h (Or.inl h0), Real.arctan_eq_arcsin, ←
div_mul_eq_div_div, norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h]
nth_rw 3 [← Real.sqrt_sq (norm_nonneg x)]
rw_mod_cast [← Real.sqrt_mul (sq_nonneg _), div_pow, pow_two, pow_two, mul_add, mul_one, mul_div,
mul_comm (‖x‖ * ‖x‖), ← mul_div, div_self (mul_self_pos.2 (norm_ne_zero_iff.2 h0)).ne', mul_one]
#align inner_product_geometry.angle_add_eq_arctan_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero
theorem angle_add_pos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) :
0 < angle x (x + y) := by
rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_pos,
norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h]
by_cases hx : x = 0; · simp [hx]
rw [div_lt_one (Real.sqrt_pos.2 (Left.add_pos_of_pos_of_nonneg (mul_self_pos.2
(norm_ne_zero_iff.2 hx)) (mul_self_nonneg _))), Real.lt_sqrt (norm_nonneg _), pow_two]
simpa [hx] using h0
#align inner_product_geometry.angle_add_pos_of_inner_eq_zero InnerProductGeometry.angle_add_pos_of_inner_eq_zero
theorem angle_add_le_pi_div_two_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
angle x (x + y) ≤ π / 2 := by
rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_le_pi_div_two]
exact div_nonneg (norm_nonneg _) (norm_nonneg _)
#align inner_product_geometry.angle_add_le_pi_div_two_of_inner_eq_zero InnerProductGeometry.angle_add_le_pi_div_two_of_inner_eq_zero
theorem angle_add_lt_pi_div_two_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) :
angle x (x + y) < π / 2 := by
rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_lt_pi_div_two,
norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h]
exact div_pos (norm_pos_iff.2 h0) (Real.sqrt_pos.2 (Left.add_pos_of_pos_of_nonneg
(mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _)))
#align inner_product_geometry.angle_add_lt_pi_div_two_of_inner_eq_zero InnerProductGeometry.angle_add_lt_pi_div_two_of_inner_eq_zero
theorem cos_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.cos (angle x (x + y)) = ‖x‖ / ‖x + y‖ := by
rw [angle_add_eq_arccos_of_inner_eq_zero h,
Real.cos_arccos (le_trans (by norm_num) (div_nonneg (norm_nonneg _) (norm_nonneg _)))
(div_le_one_of_le _ (norm_nonneg _))]
rw [mul_self_le_mul_self_iff (norm_nonneg _) (norm_nonneg _),
norm_add_sq_eq_norm_sq_add_norm_sq_real h]
exact le_add_of_nonneg_right (mul_self_nonneg _)
#align inner_product_geometry.cos_angle_add_of_inner_eq_zero InnerProductGeometry.cos_angle_add_of_inner_eq_zero
theorem sin_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) :
Real.sin (angle x (x + y)) = ‖y‖ / ‖x + y‖ := by
rw [angle_add_eq_arcsin_of_inner_eq_zero h h0,
Real.sin_arcsin (le_trans (by norm_num) (div_nonneg (norm_nonneg _) (norm_nonneg _)))
(div_le_one_of_le _ (norm_nonneg _))]
rw [mul_self_le_mul_self_iff (norm_nonneg _) (norm_nonneg _),
norm_add_sq_eq_norm_sq_add_norm_sq_real h]
exact le_add_of_nonneg_left (mul_self_nonneg _)
#align inner_product_geometry.sin_angle_add_of_inner_eq_zero InnerProductGeometry.sin_angle_add_of_inner_eq_zero
theorem tan_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.tan (angle x (x + y)) = ‖y‖ / ‖x‖ := by
by_cases h0 : x = 0; · simp [h0]
rw [angle_add_eq_arctan_of_inner_eq_zero h h0, Real.tan_arctan]
#align inner_product_geometry.tan_angle_add_of_inner_eq_zero InnerProductGeometry.tan_angle_add_of_inner_eq_zero
theorem cos_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.cos (angle x (x + y)) * ‖x + y‖ = ‖x‖ := by
rw [cos_angle_add_of_inner_eq_zero h]
by_cases hxy : ‖x + y‖ = 0
· have h' := norm_add_sq_eq_norm_sq_add_norm_sq_real h
rw [hxy, zero_mul, eq_comm,
add_eq_zero_iff' (mul_self_nonneg ‖x‖) (mul_self_nonneg ‖y‖), mul_self_eq_zero] at h'
simp [h'.1]
· exact div_mul_cancel₀ _ hxy
#align inner_product_geometry.cos_angle_add_mul_norm_of_inner_eq_zero InnerProductGeometry.cos_angle_add_mul_norm_of_inner_eq_zero
theorem sin_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.sin (angle x (x + y)) * ‖x + y‖ = ‖y‖ := by
by_cases h0 : x = 0 ∧ y = 0; · simp [h0]
rw [not_and_or] at h0
rw [sin_angle_add_of_inner_eq_zero h h0, div_mul_cancel₀]
rw [← mul_self_ne_zero, norm_add_sq_eq_norm_sq_add_norm_sq_real h]
refine (ne_of_lt ?_).symm
rcases h0 with (h0 | h0)
· exact Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _)
· exact Left.add_pos_of_nonneg_of_pos (mul_self_nonneg _) (mul_self_pos.2 (norm_ne_zero_iff.2 h0))
#align inner_product_geometry.sin_angle_add_mul_norm_of_inner_eq_zero InnerProductGeometry.sin_angle_add_mul_norm_of_inner_eq_zero
theorem tan_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y = 0) :
Real.tan (angle x (x + y)) * ‖x‖ = ‖y‖ := by
rw [tan_angle_add_of_inner_eq_zero h]
rcases h0 with (h0 | h0) <;> simp [h0]
#align inner_product_geometry.tan_angle_add_mul_norm_of_inner_eq_zero InnerProductGeometry.tan_angle_add_mul_norm_of_inner_eq_zero
theorem norm_div_cos_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y = 0) :
‖x‖ / Real.cos (angle x (x + y)) = ‖x + y‖ := by
rw [cos_angle_add_of_inner_eq_zero h]
rcases h0 with (h0 | h0)
· rw [div_div_eq_mul_div, mul_comm, div_eq_mul_inv, mul_inv_cancel_right₀ (norm_ne_zero_iff.2 h0)]
· simp [h0]
#align inner_product_geometry.norm_div_cos_angle_add_of_inner_eq_zero InnerProductGeometry.norm_div_cos_angle_add_of_inner_eq_zero
theorem norm_div_sin_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) :
‖y‖ / Real.sin (angle x (x + y)) = ‖x + y‖ := by
rcases h0 with (h0 | h0); · simp [h0]
rw [sin_angle_add_of_inner_eq_zero h (Or.inr h0), div_div_eq_mul_div, mul_comm, div_eq_mul_inv,
mul_inv_cancel_right₀ (norm_ne_zero_iff.2 h0)]
#align inner_product_geometry.norm_div_sin_angle_add_of_inner_eq_zero InnerProductGeometry.norm_div_sin_angle_add_of_inner_eq_zero
theorem norm_div_tan_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) :
‖y‖ / Real.tan (angle x (x + y)) = ‖x‖ := by
rw [tan_angle_add_of_inner_eq_zero h]
rcases h0 with (h0 | h0)
· simp [h0]
· rw [div_div_eq_mul_div, mul_comm, div_eq_mul_inv, mul_inv_cancel_right₀ (norm_ne_zero_iff.2 h0)]
#align inner_product_geometry.norm_div_tan_angle_add_of_inner_eq_zero InnerProductGeometry.norm_div_tan_angle_add_of_inner_eq_zero
theorem angle_sub_eq_arccos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
angle x (x - y) = Real.arccos (‖x‖ / ‖x - y‖) := by
rw [← neg_eq_zero, ← inner_neg_right] at h
rw [sub_eq_add_neg, angle_add_eq_arccos_of_inner_eq_zero h]
#align inner_product_geometry.angle_sub_eq_arccos_of_inner_eq_zero InnerProductGeometry.angle_sub_eq_arccos_of_inner_eq_zero
theorem angle_sub_eq_arcsin_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) :
angle x (x - y) = Real.arcsin (‖y‖ / ‖x - y‖) := by
rw [← neg_eq_zero, ← inner_neg_right] at h
rw [or_comm, ← neg_ne_zero, or_comm] at h0
rw [sub_eq_add_neg, angle_add_eq_arcsin_of_inner_eq_zero h h0, norm_neg]
#align inner_product_geometry.angle_sub_eq_arcsin_of_inner_eq_zero InnerProductGeometry.angle_sub_eq_arcsin_of_inner_eq_zero
| Mathlib/Geometry/Euclidean/Angle/Unoriented/RightAngle.lean | 240 | 243 | theorem angle_sub_eq_arctan_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) :
angle x (x - y) = Real.arctan (‖y‖ / ‖x‖) := by |
rw [← neg_eq_zero, ← inner_neg_right] at h
rw [sub_eq_add_neg, angle_add_eq_arctan_of_inner_eq_zero h h0, norm_neg]
|
import Mathlib.Algebra.ModEq
import Mathlib.Algebra.Module.Defs
import Mathlib.Algebra.Order.Archimedean
import Mathlib.Algebra.Periodic
import Mathlib.Data.Int.SuccPred
import Mathlib.GroupTheory.QuotientGroup
import Mathlib.Order.Circular
import Mathlib.Data.List.TFAE
import Mathlib.Data.Set.Lattice
#align_import algebra.order.to_interval_mod from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec"
noncomputable section
section LinearOrderedAddCommGroup
variable {α : Type*} [LinearOrderedAddCommGroup α] [hα : Archimedean α] {p : α} (hp : 0 < p)
{a b c : α} {n : ℤ}
def toIcoDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose
#align to_Ico_div toIcoDiv
theorem sub_toIcoDiv_zsmul_mem_Ico (a b : α) : b - toIcoDiv hp a b • p ∈ Set.Ico a (a + p) :=
(existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.1
#align sub_to_Ico_div_zsmul_mem_Ico sub_toIcoDiv_zsmul_mem_Ico
theorem toIcoDiv_eq_of_sub_zsmul_mem_Ico (h : b - n • p ∈ Set.Ico a (a + p)) :
toIcoDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ico hp b a).choose_spec.2 _ h).symm
#align to_Ico_div_eq_of_sub_zsmul_mem_Ico toIcoDiv_eq_of_sub_zsmul_mem_Ico
def toIocDiv (a b : α) : ℤ :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose
#align to_Ioc_div toIocDiv
theorem sub_toIocDiv_zsmul_mem_Ioc (a b : α) : b - toIocDiv hp a b • p ∈ Set.Ioc a (a + p) :=
(existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.1
#align sub_to_Ioc_div_zsmul_mem_Ioc sub_toIocDiv_zsmul_mem_Ioc
theorem toIocDiv_eq_of_sub_zsmul_mem_Ioc (h : b - n • p ∈ Set.Ioc a (a + p)) :
toIocDiv hp a b = n :=
((existsUnique_sub_zsmul_mem_Ioc hp b a).choose_spec.2 _ h).symm
#align to_Ioc_div_eq_of_sub_zsmul_mem_Ioc toIocDiv_eq_of_sub_zsmul_mem_Ioc
def toIcoMod (a b : α) : α :=
b - toIcoDiv hp a b • p
#align to_Ico_mod toIcoMod
def toIocMod (a b : α) : α :=
b - toIocDiv hp a b • p
#align to_Ioc_mod toIocMod
theorem toIcoMod_mem_Ico (a b : α) : toIcoMod hp a b ∈ Set.Ico a (a + p) :=
sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_mod_mem_Ico toIcoMod_mem_Ico
theorem toIcoMod_mem_Ico' (b : α) : toIcoMod hp 0 b ∈ Set.Ico 0 p := by
convert toIcoMod_mem_Ico hp 0 b
exact (zero_add p).symm
#align to_Ico_mod_mem_Ico' toIcoMod_mem_Ico'
theorem toIocMod_mem_Ioc (a b : α) : toIocMod hp a b ∈ Set.Ioc a (a + p) :=
sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_mod_mem_Ioc toIocMod_mem_Ioc
theorem left_le_toIcoMod (a b : α) : a ≤ toIcoMod hp a b :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).1
#align left_le_to_Ico_mod left_le_toIcoMod
theorem left_lt_toIocMod (a b : α) : a < toIocMod hp a b :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).1
#align left_lt_to_Ioc_mod left_lt_toIocMod
theorem toIcoMod_lt_right (a b : α) : toIcoMod hp a b < a + p :=
(Set.mem_Ico.1 (toIcoMod_mem_Ico hp a b)).2
#align to_Ico_mod_lt_right toIcoMod_lt_right
theorem toIocMod_le_right (a b : α) : toIocMod hp a b ≤ a + p :=
(Set.mem_Ioc.1 (toIocMod_mem_Ioc hp a b)).2
#align to_Ioc_mod_le_right toIocMod_le_right
@[simp]
theorem self_sub_toIcoDiv_zsmul (a b : α) : b - toIcoDiv hp a b • p = toIcoMod hp a b :=
rfl
#align self_sub_to_Ico_div_zsmul self_sub_toIcoDiv_zsmul
@[simp]
theorem self_sub_toIocDiv_zsmul (a b : α) : b - toIocDiv hp a b • p = toIocMod hp a b :=
rfl
#align self_sub_to_Ioc_div_zsmul self_sub_toIocDiv_zsmul
@[simp]
theorem toIcoDiv_zsmul_sub_self (a b : α) : toIcoDiv hp a b • p - b = -toIcoMod hp a b := by
rw [toIcoMod, neg_sub]
#align to_Ico_div_zsmul_sub_self toIcoDiv_zsmul_sub_self
@[simp]
theorem toIocDiv_zsmul_sub_self (a b : α) : toIocDiv hp a b • p - b = -toIocMod hp a b := by
rw [toIocMod, neg_sub]
#align to_Ioc_div_zsmul_sub_self toIocDiv_zsmul_sub_self
@[simp]
theorem toIcoMod_sub_self (a b : α) : toIcoMod hp a b - b = -toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel_left, neg_smul]
#align to_Ico_mod_sub_self toIcoMod_sub_self
@[simp]
theorem toIocMod_sub_self (a b : α) : toIocMod hp a b - b = -toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel_left, neg_smul]
#align to_Ioc_mod_sub_self toIocMod_sub_self
@[simp]
theorem self_sub_toIcoMod (a b : α) : b - toIcoMod hp a b = toIcoDiv hp a b • p := by
rw [toIcoMod, sub_sub_cancel]
#align self_sub_to_Ico_mod self_sub_toIcoMod
@[simp]
theorem self_sub_toIocMod (a b : α) : b - toIocMod hp a b = toIocDiv hp a b • p := by
rw [toIocMod, sub_sub_cancel]
#align self_sub_to_Ioc_mod self_sub_toIocMod
@[simp]
theorem toIcoMod_add_toIcoDiv_zsmul (a b : α) : toIcoMod hp a b + toIcoDiv hp a b • p = b := by
rw [toIcoMod, sub_add_cancel]
#align to_Ico_mod_add_to_Ico_div_zsmul toIcoMod_add_toIcoDiv_zsmul
@[simp]
theorem toIocMod_add_toIocDiv_zsmul (a b : α) : toIocMod hp a b + toIocDiv hp a b • p = b := by
rw [toIocMod, sub_add_cancel]
#align to_Ioc_mod_add_to_Ioc_div_zsmul toIocMod_add_toIocDiv_zsmul
@[simp]
theorem toIcoDiv_zsmul_sub_toIcoMod (a b : α) : toIcoDiv hp a b • p + toIcoMod hp a b = b := by
rw [add_comm, toIcoMod_add_toIcoDiv_zsmul]
#align to_Ico_div_zsmul_sub_to_Ico_mod toIcoDiv_zsmul_sub_toIcoMod
@[simp]
theorem toIocDiv_zsmul_sub_toIocMod (a b : α) : toIocDiv hp a b • p + toIocMod hp a b = b := by
rw [add_comm, toIocMod_add_toIocDiv_zsmul]
#align to_Ioc_div_zsmul_sub_to_Ioc_mod toIocDiv_zsmul_sub_toIocMod
theorem toIcoMod_eq_iff : toIcoMod hp a b = c ↔ c ∈ Set.Ico a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIcoMod_mem_Ico hp a b, toIcoDiv hp a b, h ▸ (toIcoMod_add_toIcoDiv_zsmul _ _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIcoDiv_eq_of_sub_zsmul_mem_Ico hp hc, toIcoMod]
#align to_Ico_mod_eq_iff toIcoMod_eq_iff
theorem toIocMod_eq_iff : toIocMod hp a b = c ↔ c ∈ Set.Ioc a (a + p) ∧ ∃ z : ℤ, b = c + z • p := by
refine
⟨fun h =>
⟨h ▸ toIocMod_mem_Ioc hp a b, toIocDiv hp a b, h ▸ (toIocMod_add_toIocDiv_zsmul hp _ _).symm⟩,
?_⟩
simp_rw [← @sub_eq_iff_eq_add]
rintro ⟨hc, n, rfl⟩
rw [← toIocDiv_eq_of_sub_zsmul_mem_Ioc hp hc, toIocMod]
#align to_Ioc_mod_eq_iff toIocMod_eq_iff
@[simp]
theorem toIcoDiv_apply_left (a : α) : toIcoDiv hp a a = 0 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
#align to_Ico_div_apply_left toIcoDiv_apply_left
@[simp]
theorem toIocDiv_apply_left (a : α) : toIocDiv hp a a = -1 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
#align to_Ioc_div_apply_left toIocDiv_apply_left
@[simp]
theorem toIcoMod_apply_left (a : α) : toIcoMod hp a a = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
#align to_Ico_mod_apply_left toIcoMod_apply_left
@[simp]
theorem toIocMod_apply_left (a : α) : toIocMod hp a a = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, -1, by simp⟩
#align to_Ioc_mod_apply_left toIocMod_apply_left
theorem toIcoDiv_apply_right (a : α) : toIcoDiv hp a (a + p) = 1 :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by simp [hp]
#align to_Ico_div_apply_right toIcoDiv_apply_right
theorem toIocDiv_apply_right (a : α) : toIocDiv hp a (a + p) = 0 :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by simp [hp]
#align to_Ioc_div_apply_right toIocDiv_apply_right
theorem toIcoMod_apply_right (a : α) : toIcoMod hp a (a + p) = a := by
rw [toIcoMod_eq_iff hp, Set.left_mem_Ico]
exact ⟨lt_add_of_pos_right _ hp, 1, by simp⟩
#align to_Ico_mod_apply_right toIcoMod_apply_right
theorem toIocMod_apply_right (a : α) : toIocMod hp a (a + p) = a + p := by
rw [toIocMod_eq_iff hp, Set.right_mem_Ioc]
exact ⟨lt_add_of_pos_right _ hp, 0, by simp⟩
#align to_Ioc_mod_apply_right toIocMod_apply_right
@[simp]
theorem toIcoDiv_add_zsmul (a b : α) (m : ℤ) : toIcoDiv hp a (b + m • p) = toIcoDiv hp a b + m :=
toIcoDiv_eq_of_sub_zsmul_mem_Ico hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_div_add_zsmul toIcoDiv_add_zsmul
@[simp]
theorem toIcoDiv_add_zsmul' (a b : α) (m : ℤ) :
toIcoDiv hp (a + m • p) b = toIcoDiv hp a b - m := by
refine toIcoDiv_eq_of_sub_zsmul_mem_Ico _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIcoDiv_zsmul_mem_Ico hp a b
#align to_Ico_div_add_zsmul' toIcoDiv_add_zsmul'
@[simp]
theorem toIocDiv_add_zsmul (a b : α) (m : ℤ) : toIocDiv hp a (b + m • p) = toIocDiv hp a b + m :=
toIocDiv_eq_of_sub_zsmul_mem_Ioc hp <| by
simpa only [add_smul, add_sub_add_right_eq_sub] using sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_div_add_zsmul toIocDiv_add_zsmul
@[simp]
theorem toIocDiv_add_zsmul' (a b : α) (m : ℤ) :
toIocDiv hp (a + m • p) b = toIocDiv hp a b - m := by
refine toIocDiv_eq_of_sub_zsmul_mem_Ioc _ ?_
rw [sub_smul, ← sub_add, add_right_comm]
simpa using sub_toIocDiv_zsmul_mem_Ioc hp a b
#align to_Ioc_div_add_zsmul' toIocDiv_add_zsmul'
@[simp]
| Mathlib/Algebra/Order/ToIntervalMod.lean | 261 | 262 | theorem toIcoDiv_zsmul_add (a b : α) (m : ℤ) : toIcoDiv hp a (m • p + b) = m + toIcoDiv hp a b := by |
rw [add_comm, toIcoDiv_add_zsmul, add_comm]
|
import Mathlib.Algebra.Group.Equiv.Basic
import Mathlib.Data.ENat.Lattice
import Mathlib.Data.Part
import Mathlib.Tactic.NormNum
#align_import data.nat.part_enat from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8"
open Part hiding some
def PartENat : Type :=
Part ℕ
#align part_enat PartENat
namespace PartENat
@[coe]
def some : ℕ → PartENat :=
Part.some
#align part_enat.some PartENat.some
instance : Zero PartENat :=
⟨some 0⟩
instance : Inhabited PartENat :=
⟨0⟩
instance : One PartENat :=
⟨some 1⟩
instance : Add PartENat :=
⟨fun x y => ⟨x.Dom ∧ y.Dom, fun h => get x h.1 + get y h.2⟩⟩
instance (n : ℕ) : Decidable (some n).Dom :=
isTrue trivial
@[simp]
theorem dom_some (x : ℕ) : (some x).Dom :=
trivial
#align part_enat.dom_some PartENat.dom_some
instance addCommMonoid : AddCommMonoid PartENat where
add := (· + ·)
zero := 0
add_comm x y := Part.ext' and_comm fun _ _ => add_comm _ _
zero_add x := Part.ext' (true_and_iff _) fun _ _ => zero_add _
add_zero x := Part.ext' (and_true_iff _) fun _ _ => add_zero _
add_assoc x y z := Part.ext' and_assoc fun _ _ => add_assoc _ _ _
nsmul := nsmulRec
instance : AddCommMonoidWithOne PartENat :=
{ PartENat.addCommMonoid with
one := 1
natCast := some
natCast_zero := rfl
natCast_succ := fun _ => Part.ext' (true_and_iff _).symm fun _ _ => rfl }
theorem some_eq_natCast (n : ℕ) : some n = n :=
rfl
#align part_enat.some_eq_coe PartENat.some_eq_natCast
instance : CharZero PartENat where
cast_injective := Part.some_injective
theorem natCast_inj {x y : ℕ} : (x : PartENat) = y ↔ x = y :=
Nat.cast_inj
#align part_enat.coe_inj PartENat.natCast_inj
@[simp]
theorem dom_natCast (x : ℕ) : (x : PartENat).Dom :=
trivial
#align part_enat.dom_coe PartENat.dom_natCast
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem dom_ofNat (x : ℕ) [x.AtLeastTwo] : (no_index (OfNat.ofNat x : PartENat)).Dom :=
trivial
@[simp]
theorem dom_zero : (0 : PartENat).Dom :=
trivial
@[simp]
theorem dom_one : (1 : PartENat).Dom :=
trivial
instance : CanLift PartENat ℕ (↑) Dom :=
⟨fun n hn => ⟨n.get hn, Part.some_get _⟩⟩
instance : LE PartENat :=
⟨fun x y => ∃ h : y.Dom → x.Dom, ∀ hy : y.Dom, x.get (h hy) ≤ y.get hy⟩
instance : Top PartENat :=
⟨none⟩
instance : Bot PartENat :=
⟨0⟩
instance : Sup PartENat :=
⟨fun x y => ⟨x.Dom ∧ y.Dom, fun h => x.get h.1 ⊔ y.get h.2⟩⟩
theorem le_def (x y : PartENat) :
x ≤ y ↔ ∃ h : y.Dom → x.Dom, ∀ hy : y.Dom, x.get (h hy) ≤ y.get hy :=
Iff.rfl
#align part_enat.le_def PartENat.le_def
@[elab_as_elim]
protected theorem casesOn' {P : PartENat → Prop} :
∀ a : PartENat, P ⊤ → (∀ n : ℕ, P (some n)) → P a :=
Part.induction_on
#align part_enat.cases_on' PartENat.casesOn'
@[elab_as_elim]
protected theorem casesOn {P : PartENat → Prop} : ∀ a : PartENat, P ⊤ → (∀ n : ℕ, P n) → P a := by
exact PartENat.casesOn'
#align part_enat.cases_on PartENat.casesOn
-- not a simp lemma as we will provide a `LinearOrderedAddCommMonoidWithTop` instance later
theorem top_add (x : PartENat) : ⊤ + x = ⊤ :=
Part.ext' (false_and_iff _) fun h => h.left.elim
#align part_enat.top_add PartENat.top_add
-- not a simp lemma as we will provide a `LinearOrderedAddCommMonoidWithTop` instance later
theorem add_top (x : PartENat) : x + ⊤ = ⊤ := by rw [add_comm, top_add]
#align part_enat.add_top PartENat.add_top
@[simp]
theorem natCast_get {x : PartENat} (h : x.Dom) : (x.get h : PartENat) = x := by
exact Part.ext' (iff_of_true trivial h) fun _ _ => rfl
#align part_enat.coe_get PartENat.natCast_get
@[simp, norm_cast]
theorem get_natCast' (x : ℕ) (h : (x : PartENat).Dom) : get (x : PartENat) h = x := by
rw [← natCast_inj, natCast_get]
#align part_enat.get_coe' PartENat.get_natCast'
theorem get_natCast {x : ℕ} : get (x : PartENat) (dom_natCast x) = x :=
get_natCast' _ _
#align part_enat.get_coe PartENat.get_natCast
theorem coe_add_get {x : ℕ} {y : PartENat} (h : ((x : PartENat) + y).Dom) :
get ((x : PartENat) + y) h = x + get y h.2 := by
rfl
#align part_enat.coe_add_get PartENat.coe_add_get
@[simp]
theorem get_add {x y : PartENat} (h : (x + y).Dom) : get (x + y) h = x.get h.1 + y.get h.2 :=
rfl
#align part_enat.get_add PartENat.get_add
@[simp]
theorem get_zero (h : (0 : PartENat).Dom) : (0 : PartENat).get h = 0 :=
rfl
#align part_enat.get_zero PartENat.get_zero
@[simp]
theorem get_one (h : (1 : PartENat).Dom) : (1 : PartENat).get h = 1 :=
rfl
#align part_enat.get_one PartENat.get_one
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem get_ofNat' (x : ℕ) [x.AtLeastTwo] (h : (no_index (OfNat.ofNat x : PartENat)).Dom) :
Part.get (no_index (OfNat.ofNat x : PartENat)) h = (no_index (OfNat.ofNat x)) :=
get_natCast' x h
nonrec theorem get_eq_iff_eq_some {a : PartENat} {ha : a.Dom} {b : ℕ} : a.get ha = b ↔ a = some b :=
get_eq_iff_eq_some
#align part_enat.get_eq_iff_eq_some PartENat.get_eq_iff_eq_some
theorem get_eq_iff_eq_coe {a : PartENat} {ha : a.Dom} {b : ℕ} : a.get ha = b ↔ a = b := by
rw [get_eq_iff_eq_some]
rfl
#align part_enat.get_eq_iff_eq_coe PartENat.get_eq_iff_eq_coe
theorem dom_of_le_of_dom {x y : PartENat} : x ≤ y → y.Dom → x.Dom := fun ⟨h, _⟩ => h
#align part_enat.dom_of_le_of_dom PartENat.dom_of_le_of_dom
theorem dom_of_le_some {x : PartENat} {y : ℕ} (h : x ≤ some y) : x.Dom :=
dom_of_le_of_dom h trivial
#align part_enat.dom_of_le_some PartENat.dom_of_le_some
theorem dom_of_le_natCast {x : PartENat} {y : ℕ} (h : x ≤ y) : x.Dom := by
exact dom_of_le_some h
#align part_enat.dom_of_le_coe PartENat.dom_of_le_natCast
instance decidableLe (x y : PartENat) [Decidable x.Dom] [Decidable y.Dom] : Decidable (x ≤ y) :=
if hx : x.Dom then
decidable_of_decidable_of_iff (by rw [le_def])
else
if hy : y.Dom then isFalse fun h => hx <| dom_of_le_of_dom h hy
else isTrue ⟨fun h => (hy h).elim, fun h => (hy h).elim⟩
#align part_enat.decidable_le PartENat.decidableLe
-- Porting note: Removed. Use `Nat.castAddMonoidHom` instead.
#noalign part_enat.coe_hom
#noalign part_enat.coe_coe_hom
instance partialOrder : PartialOrder PartENat where
le := (· ≤ ·)
le_refl _ := ⟨id, fun _ => le_rfl⟩
le_trans := fun _ _ _ ⟨hxy₁, hxy₂⟩ ⟨hyz₁, hyz₂⟩ =>
⟨hxy₁ ∘ hyz₁, fun _ => le_trans (hxy₂ _) (hyz₂ _)⟩
lt_iff_le_not_le _ _ := Iff.rfl
le_antisymm := fun _ _ ⟨hxy₁, hxy₂⟩ ⟨hyx₁, hyx₂⟩ =>
Part.ext' ⟨hyx₁, hxy₁⟩ fun _ _ => le_antisymm (hxy₂ _) (hyx₂ _)
theorem lt_def (x y : PartENat) : x < y ↔ ∃ hx : x.Dom, ∀ hy : y.Dom, x.get hx < y.get hy := by
rw [lt_iff_le_not_le, le_def, le_def, not_exists]
constructor
· rintro ⟨⟨hyx, H⟩, h⟩
by_cases hx : x.Dom
· use hx
intro hy
specialize H hy
specialize h fun _ => hy
rw [not_forall] at h
cases' h with hx' h
rw [not_le] at h
exact h
· specialize h fun hx' => (hx hx').elim
rw [not_forall] at h
cases' h with hx' h
exact (hx hx').elim
· rintro ⟨hx, H⟩
exact ⟨⟨fun _ => hx, fun hy => (H hy).le⟩, fun hxy h => not_lt_of_le (h _) (H _)⟩
#align part_enat.lt_def PartENat.lt_def
noncomputable instance orderedAddCommMonoid : OrderedAddCommMonoid PartENat :=
{ PartENat.partialOrder, PartENat.addCommMonoid with
add_le_add_left := fun a b ⟨h₁, h₂⟩ c =>
PartENat.casesOn c (by simp [top_add]) fun c =>
⟨fun h => And.intro (dom_natCast _) (h₁ h.2), fun h => by
simpa only [coe_add_get] using add_le_add_left (h₂ _) c⟩ }
instance semilatticeSup : SemilatticeSup PartENat :=
{ PartENat.partialOrder with
sup := (· ⊔ ·)
le_sup_left := fun _ _ => ⟨And.left, fun _ => le_sup_left⟩
le_sup_right := fun _ _ => ⟨And.right, fun _ => le_sup_right⟩
sup_le := fun _ _ _ ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩ =>
⟨fun hz => ⟨hx₁ hz, hy₁ hz⟩, fun _ => sup_le (hx₂ _) (hy₂ _)⟩ }
#align part_enat.semilattice_sup PartENat.semilatticeSup
instance orderBot : OrderBot PartENat where
bot := ⊥
bot_le _ := ⟨fun _ => trivial, fun _ => Nat.zero_le _⟩
#align part_enat.order_bot PartENat.orderBot
instance orderTop : OrderTop PartENat where
top := ⊤
le_top _ := ⟨fun h => False.elim h, fun hy => False.elim hy⟩
#align part_enat.order_top PartENat.orderTop
instance : ZeroLEOneClass PartENat where
zero_le_one := bot_le
theorem coe_le_coe {x y : ℕ} : (x : PartENat) ≤ y ↔ x ≤ y := Nat.cast_le
#align part_enat.coe_le_coe PartENat.coe_le_coe
theorem coe_lt_coe {x y : ℕ} : (x : PartENat) < y ↔ x < y := Nat.cast_lt
#align part_enat.coe_lt_coe PartENat.coe_lt_coe
@[simp]
theorem get_le_get {x y : PartENat} {hx : x.Dom} {hy : y.Dom} : x.get hx ≤ y.get hy ↔ x ≤ y := by
conv =>
lhs
rw [← coe_le_coe, natCast_get, natCast_get]
#align part_enat.get_le_get PartENat.get_le_get
| Mathlib/Data/Nat/PartENat.lean | 324 | 326 | theorem le_coe_iff (x : PartENat) (n : ℕ) : x ≤ n ↔ ∃ h : x.Dom, x.get h ≤ n := by |
show (∃ h : True → x.Dom, _) ↔ ∃ h : x.Dom, x.get h ≤ n
simp only [forall_prop_of_true, dom_natCast, get_natCast']
|
import Mathlib.MeasureTheory.Function.ConditionalExpectation.Basic
#align_import measure_theory.function.conditional_expectation.indicator from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open TopologicalSpace MeasureTheory.Lp Filter ContinuousLinearMap
open scoped NNReal ENNReal Topology MeasureTheory
namespace MeasureTheory
variable {α 𝕜 E : Type*} {m m0 : MeasurableSpace α} [NormedAddCommGroup E] [NormedSpace ℝ E]
[CompleteSpace E] {μ : Measure α} {f : α → E} {s : Set α}
| Mathlib/MeasureTheory/Function/ConditionalExpectation/Indicator.lean | 38 | 59 | theorem condexp_ae_eq_restrict_zero (hs : MeasurableSet[m] s) (hf : f =ᵐ[μ.restrict s] 0) :
μ[f|m] =ᵐ[μ.restrict s] 0 := by |
by_cases hm : m ≤ m0
swap; · simp_rw [condexp_of_not_le hm]; rfl
by_cases hμm : SigmaFinite (μ.trim hm)
swap; · simp_rw [condexp_of_not_sigmaFinite hm hμm]; rfl
haveI : SigmaFinite (μ.trim hm) := hμm
have : SigmaFinite ((μ.restrict s).trim hm) := by
rw [← restrict_trim hm _ hs]
exact Restrict.sigmaFinite _ s
by_cases hf_int : Integrable f μ
swap; · rw [condexp_undef hf_int]
refine ae_eq_of_forall_setIntegral_eq_of_sigmaFinite' hm ?_ ?_ ?_ ?_ ?_
· exact fun t _ _ => integrable_condexp.integrableOn.integrableOn
· exact fun t _ _ => (integrable_zero _ _ _).integrableOn
· intro t ht _
rw [Measure.restrict_restrict (hm _ ht), setIntegral_condexp hm hf_int (ht.inter hs), ←
Measure.restrict_restrict (hm _ ht)]
refine setIntegral_congr_ae (hm _ ht) ?_
filter_upwards [hf] with x hx _ using hx
· exact stronglyMeasurable_condexp.aeStronglyMeasurable'
· exact stronglyMeasurable_zero.aeStronglyMeasurable'
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Function.SimpleFunc
import Mathlib.MeasureTheory.Measure.MutuallySingular
import Mathlib.MeasureTheory.Measure.Count
import Mathlib.Topology.IndicatorConstPointwise
import Mathlib.MeasureTheory.Constructions.BorelSpace.Real
#align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
assert_not_exists NormedSpace
set_option autoImplicit true
noncomputable section
open Set hiding restrict restrict_apply
open Filter ENNReal
open Function (support)
open scoped Classical
open Topology NNReal ENNReal MeasureTheory
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
variable {α β γ δ : Type*}
section Lintegral
open SimpleFunc
variable {m : MeasurableSpace α} {μ ν : Measure α}
irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ :=
⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ
#align measure_theory.lintegral MeasureTheory.lintegral
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r
theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ = f.lintegral μ := by
rw [MeasureTheory.lintegral]
exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl)
(le_iSup₂_of_le f le_rfl le_rfl)
#align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral
@[mono]
theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄
(hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by
rw [lintegral, lintegral]
exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩
#align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono'
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) :
lintegral μ f ≤ lintegral ν g :=
lintegral_mono' h2 hfg
theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono' (le_refl μ) hfg
#align measure_theory.lintegral_mono MeasureTheory.lintegral_mono
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) :
lintegral μ f ≤ lintegral μ g :=
lintegral_mono hfg
theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a)
#align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal
theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) :
⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by
apply le_antisymm
· exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i
· rw [lintegral]
refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_
exact le_of_eq (i.lintegral_eq_lintegral _).symm
#align measure_theory.supr_lintegral_measurable_le_eq_lintegral MeasureTheory.iSup_lintegral_measurable_le_eq_lintegral
theorem lintegral_mono_set {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ⊆ t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set MeasureTheory.lintegral_mono_set
theorem lintegral_mono_set' {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ≤ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono' hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set' MeasureTheory.lintegral_mono_set'
theorem monotone_lintegral {_ : MeasurableSpace α} (μ : Measure α) : Monotone (lintegral μ) :=
lintegral_mono
#align measure_theory.monotone_lintegral MeasureTheory.monotone_lintegral
@[simp]
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 138 | 140 | theorem lintegral_const (c : ℝ≥0∞) : ∫⁻ _, c ∂μ = c * μ univ := by |
rw [← SimpleFunc.const_lintegral, ← SimpleFunc.lintegral_eq_lintegral, SimpleFunc.coe_const]
rfl
|
import Mathlib.Data.Matrix.Invertible
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.PosDef
#align_import linear_algebra.matrix.schur_complement from "leanprover-community/mathlib"@"a176cb1219e300e85793d44583dede42377b51af"
variable {l m n α : Type*}
namespace Matrix
open scoped Matrix
section CommRing
variable [Fintype l] [Fintype m] [Fintype n]
variable [DecidableEq l] [DecidableEq m] [DecidableEq n]
variable [CommRing α]
theorem fromBlocks_eq_of_invertible₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix l m α)
(D : Matrix l n α) [Invertible A] :
fromBlocks A B C D =
fromBlocks 1 0 (C * ⅟ A) 1 * fromBlocks A 0 0 (D - C * ⅟ A * B) *
fromBlocks 1 (⅟ A * B) 0 1 := by
simp only [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, add_zero, zero_add,
Matrix.one_mul, Matrix.mul_one, invOf_mul_self, Matrix.mul_invOf_self_assoc,
Matrix.mul_invOf_mul_self_cancel, Matrix.mul_assoc, add_sub_cancel]
#align matrix.from_blocks_eq_of_invertible₁₁ Matrix.fromBlocks_eq_of_invertible₁₁
theorem fromBlocks_eq_of_invertible₂₂ (A : Matrix l m α) (B : Matrix l n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible D] :
fromBlocks A B C D =
fromBlocks 1 (B * ⅟ D) 0 1 * fromBlocks (A - B * ⅟ D * C) 0 0 D *
fromBlocks 1 0 (⅟ D * C) 1 :=
(Matrix.reindex (Equiv.sumComm _ _) (Equiv.sumComm _ _)).injective <| by
simpa [reindex_apply, Equiv.sumComm_symm, ← submatrix_mul_equiv _ _ _ (Equiv.sumComm n m), ←
submatrix_mul_equiv _ _ _ (Equiv.sumComm n l), Equiv.sumComm_apply,
fromBlocks_submatrix_sum_swap_sum_swap] using fromBlocks_eq_of_invertible₁₁ D C B A
#align matrix.from_blocks_eq_of_invertible₂₂ Matrix.fromBlocks_eq_of_invertible₂₂
section StarOrderedRing
variable {𝕜 : Type*} [CommRing 𝕜] [PartialOrder 𝕜] [StarRing 𝕜] [StarOrderedRing 𝕜]
scoped infixl:65 " ⊕ᵥ " => Sum.elim
theorem schur_complement_eq₁₁ [Fintype m] [DecidableEq m] [Fintype n] {A : Matrix m m 𝕜}
(B : Matrix m n 𝕜) (D : Matrix n n 𝕜) (x : m → 𝕜) (y : n → 𝕜) [Invertible A]
(hA : A.IsHermitian) :
(star (x ⊕ᵥ y)) ᵥ* (fromBlocks A B Bᴴ D) ⬝ᵥ (x ⊕ᵥ y) =
(star (x + (A⁻¹ * B) *ᵥ y)) ᵥ* A ⬝ᵥ (x + (A⁻¹ * B) *ᵥ y) +
(star y) ᵥ* (D - Bᴴ * A⁻¹ * B) ⬝ᵥ y := by
simp [Function.star_sum_elim, fromBlocks_mulVec, vecMul_fromBlocks, add_vecMul,
dotProduct_mulVec, vecMul_sub, Matrix.mul_assoc, vecMul_mulVec, hA.eq,
conjTranspose_nonsing_inv, star_mulVec]
abel
#align matrix.schur_complement_eq₁₁ Matrix.schur_complement_eq₁₁
| Mathlib/LinearAlgebra/Matrix/SchurComplement.lean | 494 | 503 | theorem schur_complement_eq₂₂ [Fintype m] [Fintype n] [DecidableEq n] (A : Matrix m m 𝕜)
(B : Matrix m n 𝕜) {D : Matrix n n 𝕜} (x : m → 𝕜) (y : n → 𝕜) [Invertible D]
(hD : D.IsHermitian) :
(star (x ⊕ᵥ y)) ᵥ* (fromBlocks A B Bᴴ D) ⬝ᵥ (x ⊕ᵥ y) =
(star ((D⁻¹ * Bᴴ) *ᵥ x + y)) ᵥ* D ⬝ᵥ ((D⁻¹ * Bᴴ) *ᵥ x + y) +
(star x) ᵥ* (A - B * D⁻¹ * Bᴴ) ⬝ᵥ x := by |
simp [Function.star_sum_elim, fromBlocks_mulVec, vecMul_fromBlocks, add_vecMul,
dotProduct_mulVec, vecMul_sub, Matrix.mul_assoc, vecMul_mulVec, hD.eq,
conjTranspose_nonsing_inv, star_mulVec]
abel
|
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]
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)
#align turing.blank_rel.trans Turing.BlankRel.trans
def BlankRel.above {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} (h : BlankRel l₁ l₂) :
{ l // BlankExtends l₁ l ∧ BlankExtends l₂ l } := by
refine
if hl : l₁.length ≤ l₂.length then ⟨l₂, Or.elim h id fun h' ↦ ?_, BlankExtends.refl _⟩
else ⟨l₁, BlankExtends.refl _, Or.elim h (fun h' ↦ ?_) id⟩
· exact (BlankExtends.refl _).above_of_le h' hl
· exact (BlankExtends.refl _).above_of_le h' (le_of_not_ge hl)
#align turing.blank_rel.above Turing.BlankRel.above
def BlankRel.below {Γ} [Inhabited Γ] {l₁ l₂ : List Γ} (h : BlankRel l₁ l₂) :
{ l // BlankExtends l l₁ ∧ BlankExtends l l₂ } := by
refine
if hl : l₁.length ≤ l₂.length then ⟨l₁, BlankExtends.refl _, Or.elim h id fun h' ↦ ?_⟩
else ⟨l₂, Or.elim h (fun h' ↦ ?_) id, BlankExtends.refl _⟩
· exact (BlankExtends.refl _).above_of_le h' hl
· exact (BlankExtends.refl _).above_of_le h' (le_of_not_ge hl)
#align turing.blank_rel.below Turing.BlankRel.below
theorem BlankRel.equivalence (Γ) [Inhabited Γ] : Equivalence (@BlankRel Γ _) :=
⟨BlankRel.refl, @BlankRel.symm _ _, @BlankRel.trans _ _⟩
#align turing.blank_rel.equivalence Turing.BlankRel.equivalence
def BlankRel.setoid (Γ) [Inhabited Γ] : Setoid (List Γ) :=
⟨_, BlankRel.equivalence _⟩
#align turing.blank_rel.setoid Turing.BlankRel.setoid
def ListBlank (Γ) [Inhabited Γ] :=
Quotient (BlankRel.setoid Γ)
#align turing.list_blank Turing.ListBlank
instance ListBlank.inhabited {Γ} [Inhabited Γ] : Inhabited (ListBlank Γ) :=
⟨Quotient.mk'' []⟩
#align turing.list_blank.inhabited Turing.ListBlank.inhabited
instance ListBlank.hasEmptyc {Γ} [Inhabited Γ] : EmptyCollection (ListBlank Γ) :=
⟨Quotient.mk'' []⟩
#align turing.list_blank.has_emptyc Turing.ListBlank.hasEmptyc
-- Porting note: Removed `@[elab_as_elim]`
protected abbrev ListBlank.liftOn {Γ} [Inhabited Γ] {α} (l : ListBlank Γ) (f : List Γ → α)
(H : ∀ a b, BlankExtends a b → f a = f b) : α :=
l.liftOn' f <| by rintro a b (h | h) <;> [exact H _ _ h; exact (H _ _ h).symm]
#align turing.list_blank.lift_on Turing.ListBlank.liftOn
def ListBlank.mk {Γ} [Inhabited Γ] : List Γ → ListBlank Γ :=
Quotient.mk''
#align turing.list_blank.mk Turing.ListBlank.mk
@[elab_as_elim]
protected theorem ListBlank.induction_on {Γ} [Inhabited Γ] {p : ListBlank Γ → Prop}
(q : ListBlank Γ) (h : ∀ a, p (ListBlank.mk a)) : p q :=
Quotient.inductionOn' q h
#align turing.list_blank.induction_on Turing.ListBlank.induction_on
def ListBlank.head {Γ} [Inhabited Γ] (l : ListBlank Γ) : Γ := by
apply l.liftOn List.headI
rintro a _ ⟨i, rfl⟩
cases a
· cases i <;> rfl
rfl
#align turing.list_blank.head Turing.ListBlank.head
@[simp]
theorem ListBlank.head_mk {Γ} [Inhabited Γ] (l : List Γ) :
ListBlank.head (ListBlank.mk l) = l.headI :=
rfl
#align turing.list_blank.head_mk Turing.ListBlank.head_mk
def ListBlank.tail {Γ} [Inhabited Γ] (l : ListBlank Γ) : ListBlank Γ := by
apply l.liftOn (fun l ↦ ListBlank.mk l.tail)
rintro a _ ⟨i, rfl⟩
refine Quotient.sound' (Or.inl ?_)
cases a
· cases' i with i <;> [exact ⟨0, rfl⟩; exact ⟨i, rfl⟩]
exact ⟨i, rfl⟩
#align turing.list_blank.tail Turing.ListBlank.tail
@[simp]
theorem ListBlank.tail_mk {Γ} [Inhabited Γ] (l : List Γ) :
ListBlank.tail (ListBlank.mk l) = ListBlank.mk l.tail :=
rfl
#align turing.list_blank.tail_mk Turing.ListBlank.tail_mk
def ListBlank.cons {Γ} [Inhabited Γ] (a : Γ) (l : ListBlank Γ) : ListBlank Γ := by
apply l.liftOn (fun l ↦ ListBlank.mk (List.cons a l))
rintro _ _ ⟨i, rfl⟩
exact Quotient.sound' (Or.inl ⟨i, rfl⟩)
#align turing.list_blank.cons Turing.ListBlank.cons
@[simp]
theorem ListBlank.cons_mk {Γ} [Inhabited Γ] (a : Γ) (l : List Γ) :
ListBlank.cons a (ListBlank.mk l) = ListBlank.mk (a :: l) :=
rfl
#align turing.list_blank.cons_mk Turing.ListBlank.cons_mk
@[simp]
theorem ListBlank.head_cons {Γ} [Inhabited Γ] (a : Γ) : ∀ l : ListBlank Γ, (l.cons a).head = a :=
Quotient.ind' fun _ ↦ rfl
#align turing.list_blank.head_cons Turing.ListBlank.head_cons
@[simp]
theorem ListBlank.tail_cons {Γ} [Inhabited Γ] (a : Γ) : ∀ l : ListBlank Γ, (l.cons a).tail = l :=
Quotient.ind' fun _ ↦ rfl
#align turing.list_blank.tail_cons Turing.ListBlank.tail_cons
@[simp]
theorem ListBlank.cons_head_tail {Γ} [Inhabited Γ] : ∀ l : ListBlank Γ, l.tail.cons l.head = l := by
apply Quotient.ind'
refine fun l ↦ Quotient.sound' (Or.inr ?_)
cases l
· exact ⟨1, rfl⟩
· rfl
#align turing.list_blank.cons_head_tail Turing.ListBlank.cons_head_tail
theorem ListBlank.exists_cons {Γ} [Inhabited Γ] (l : ListBlank Γ) :
∃ a l', l = ListBlank.cons a l' :=
⟨_, _, (ListBlank.cons_head_tail _).symm⟩
#align turing.list_blank.exists_cons Turing.ListBlank.exists_cons
def ListBlank.nth {Γ} [Inhabited Γ] (l : ListBlank Γ) (n : ℕ) : Γ := by
apply l.liftOn (fun l ↦ List.getI l n)
rintro l _ ⟨i, rfl⟩
cases' lt_or_le n _ with h h
· rw [List.getI_append _ _ _ h]
rw [List.getI_eq_default _ h]
rcases le_or_lt _ n with h₂ | h₂
· rw [List.getI_eq_default _ h₂]
rw [List.getI_eq_get _ h₂, List.get_append_right' h, List.get_replicate]
#align turing.list_blank.nth Turing.ListBlank.nth
@[simp]
theorem ListBlank.nth_mk {Γ} [Inhabited Γ] (l : List Γ) (n : ℕ) :
(ListBlank.mk l).nth n = l.getI n :=
rfl
#align turing.list_blank.nth_mk Turing.ListBlank.nth_mk
@[simp]
theorem ListBlank.nth_zero {Γ} [Inhabited Γ] (l : ListBlank Γ) : l.nth 0 = l.head := by
conv => lhs; rw [← ListBlank.cons_head_tail l]
exact Quotient.inductionOn' l.tail fun l ↦ rfl
#align turing.list_blank.nth_zero Turing.ListBlank.nth_zero
@[simp]
theorem ListBlank.nth_succ {Γ} [Inhabited Γ] (l : ListBlank Γ) (n : ℕ) :
l.nth (n + 1) = l.tail.nth n := by
conv => lhs; rw [← ListBlank.cons_head_tail l]
exact Quotient.inductionOn' l.tail fun l ↦ rfl
#align turing.list_blank.nth_succ Turing.ListBlank.nth_succ
@[ext]
theorem ListBlank.ext {Γ} [i : Inhabited Γ] {L₁ L₂ : ListBlank Γ} :
(∀ i, L₁.nth i = L₂.nth i) → L₁ = L₂ := by
refine ListBlank.induction_on L₁ fun l₁ ↦ ListBlank.induction_on L₂ fun l₂ H ↦ ?_
wlog h : l₁.length ≤ l₂.length
· cases le_total l₁.length l₂.length <;> [skip; symm] <;> apply this <;> try assumption
intro
rw [H]
refine Quotient.sound' (Or.inl ⟨l₂.length - l₁.length, ?_⟩)
refine List.ext_get ?_ fun i h h₂ ↦ Eq.symm ?_
· simp only [Nat.add_sub_cancel' h, List.length_append, List.length_replicate]
simp only [ListBlank.nth_mk] at H
cases' lt_or_le i l₁.length with h' h'
· simp only [List.get_append _ h', List.get?_eq_get h, List.get?_eq_get h',
← List.getI_eq_get _ h, ← List.getI_eq_get _ h', H]
· simp only [List.get_append_right' h', List.get_replicate, List.get?_eq_get h,
List.get?_len_le h', ← List.getI_eq_default _ h', H, List.getI_eq_get _ h]
#align turing.list_blank.ext Turing.ListBlank.ext
@[simp]
def ListBlank.modifyNth {Γ} [Inhabited Γ] (f : Γ → Γ) : ℕ → ListBlank Γ → ListBlank Γ
| 0, L => L.tail.cons (f L.head)
| n + 1, L => (L.tail.modifyNth f n).cons L.head
#align turing.list_blank.modify_nth Turing.ListBlank.modifyNth
theorem ListBlank.nth_modifyNth {Γ} [Inhabited Γ] (f : Γ → Γ) (n i) (L : ListBlank Γ) :
(L.modifyNth f n).nth i = if i = n then f (L.nth i) else L.nth i := by
induction' n with n IH generalizing i L
· cases i <;> simp only [ListBlank.nth_zero, if_true, ListBlank.head_cons, ListBlank.modifyNth,
ListBlank.nth_succ, if_false, ListBlank.tail_cons, Nat.zero_eq]
· cases i
· rw [if_neg (Nat.succ_ne_zero _).symm]
simp only [ListBlank.nth_zero, ListBlank.head_cons, ListBlank.modifyNth, Nat.zero_eq]
· simp only [IH, ListBlank.modifyNth, ListBlank.nth_succ, ListBlank.tail_cons, Nat.succ.injEq]
#align turing.list_blank.nth_modify_nth Turing.ListBlank.nth_modifyNth
structure PointedMap.{u, v} (Γ : Type u) (Γ' : Type v) [Inhabited Γ] [Inhabited Γ'] :
Type max u v where
f : Γ → Γ'
map_pt' : f default = default
#align turing.pointed_map Turing.PointedMap
instance {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] : Inhabited (PointedMap Γ Γ') :=
⟨⟨default, rfl⟩⟩
instance {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] : CoeFun (PointedMap Γ Γ') fun _ ↦ Γ → Γ' :=
⟨PointedMap.f⟩
-- @[simp] -- Porting note (#10685): dsimp can prove this
theorem PointedMap.mk_val {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : Γ → Γ') (pt) :
(PointedMap.mk f pt : Γ → Γ') = f :=
rfl
#align turing.pointed_map.mk_val Turing.PointedMap.mk_val
@[simp]
theorem PointedMap.map_pt {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') :
f default = default :=
PointedMap.map_pt' _
#align turing.pointed_map.map_pt Turing.PointedMap.map_pt
@[simp]
theorem PointedMap.headI_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ')
(l : List Γ) : (l.map f).headI = f l.headI := by
cases l <;> [exact (PointedMap.map_pt f).symm; rfl]
#align turing.pointed_map.head_map Turing.PointedMap.headI_map
def ListBlank.map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : ListBlank Γ) :
ListBlank Γ' := by
apply l.liftOn (fun l ↦ ListBlank.mk (List.map f l))
rintro l _ ⟨i, rfl⟩; refine Quotient.sound' (Or.inl ⟨i, ?_⟩)
simp only [PointedMap.map_pt, List.map_append, List.map_replicate]
#align turing.list_blank.map Turing.ListBlank.map
@[simp]
theorem ListBlank.map_mk {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) :
(ListBlank.mk l).map f = ListBlank.mk (l.map f) :=
rfl
#align turing.list_blank.map_mk Turing.ListBlank.map_mk
@[simp]
theorem ListBlank.head_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ')
(l : ListBlank Γ) : (l.map f).head = f l.head := by
conv => lhs; rw [← ListBlank.cons_head_tail l]
exact Quotient.inductionOn' l fun a ↦ rfl
#align turing.list_blank.head_map Turing.ListBlank.head_map
@[simp]
theorem ListBlank.tail_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ')
(l : ListBlank Γ) : (l.map f).tail = l.tail.map f := by
conv => lhs; rw [← ListBlank.cons_head_tail l]
exact Quotient.inductionOn' l fun a ↦ rfl
#align turing.list_blank.tail_map Turing.ListBlank.tail_map
@[simp]
theorem ListBlank.map_cons {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ')
(l : ListBlank Γ) (a : Γ) : (l.cons a).map f = (l.map f).cons (f a) := by
refine (ListBlank.cons_head_tail _).symm.trans ?_
simp only [ListBlank.head_map, ListBlank.head_cons, ListBlank.tail_map, ListBlank.tail_cons]
#align turing.list_blank.map_cons Turing.ListBlank.map_cons
@[simp]
theorem ListBlank.nth_map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ')
(l : ListBlank Γ) (n : ℕ) : (l.map f).nth n = f (l.nth n) := by
refine l.inductionOn fun l ↦ ?_
-- Porting note: Added `suffices` to get `simp` to work.
suffices ((mk l).map f).nth n = f ((mk l).nth n) by exact this
simp only [List.get?_map, ListBlank.map_mk, ListBlank.nth_mk, List.getI_eq_iget_get?]
cases l.get? n
· exact f.2.symm
· rfl
#align turing.list_blank.nth_map Turing.ListBlank.nth_map
def proj {ι : Type*} {Γ : ι → Type*} [∀ i, Inhabited (Γ i)] (i : ι) :
PointedMap (∀ i, Γ i) (Γ i) :=
⟨fun a ↦ a i, rfl⟩
#align turing.proj Turing.proj
theorem proj_map_nth {ι : Type*} {Γ : ι → Type*} [∀ i, Inhabited (Γ i)] (i : ι) (L n) :
(ListBlank.map (@proj ι Γ _ i) L).nth n = L.nth n i := by
rw [ListBlank.nth_map]; rfl
#align turing.proj_map_nth Turing.proj_map_nth
theorem ListBlank.map_modifyNth {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (F : PointedMap Γ Γ')
(f : Γ → Γ) (f' : Γ' → Γ') (H : ∀ x, F (f x) = f' (F x)) (n) (L : ListBlank Γ) :
(L.modifyNth f n).map F = (L.map F).modifyNth f' n := by
induction' n with n IH generalizing L <;>
simp only [*, ListBlank.head_map, ListBlank.modifyNth, ListBlank.map_cons, ListBlank.tail_map]
#align turing.list_blank.map_modify_nth Turing.ListBlank.map_modifyNth
@[simp]
def ListBlank.append {Γ} [Inhabited Γ] : List Γ → ListBlank Γ → ListBlank Γ
| [], L => L
| a :: l, L => ListBlank.cons a (ListBlank.append l L)
#align turing.list_blank.append Turing.ListBlank.append
@[simp]
theorem ListBlank.append_mk {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) :
ListBlank.append l₁ (ListBlank.mk l₂) = ListBlank.mk (l₁ ++ l₂) := by
induction l₁ <;>
simp only [*, ListBlank.append, List.nil_append, List.cons_append, ListBlank.cons_mk]
#align turing.list_blank.append_mk Turing.ListBlank.append_mk
theorem ListBlank.append_assoc {Γ} [Inhabited Γ] (l₁ l₂ : List Γ) (l₃ : ListBlank Γ) :
ListBlank.append (l₁ ++ l₂) l₃ = ListBlank.append l₁ (ListBlank.append l₂ l₃) := by
refine l₃.inductionOn fun l ↦ ?_
-- Porting note: Added `suffices` to get `simp` to work.
suffices append (l₁ ++ l₂) (mk l) = append l₁ (append l₂ (mk l)) by exact this
simp only [ListBlank.append_mk, List.append_assoc]
#align turing.list_blank.append_assoc Turing.ListBlank.append_assoc
def ListBlank.bind {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (l : ListBlank Γ) (f : Γ → List Γ')
(hf : ∃ n, f default = List.replicate n default) : ListBlank Γ' := by
apply l.liftOn (fun l ↦ ListBlank.mk (List.bind l f))
rintro l _ ⟨i, rfl⟩; cases' hf with n e; refine Quotient.sound' (Or.inl ⟨i * n, ?_⟩)
rw [List.append_bind, mul_comm]; congr
induction' i with i IH
· rfl
simp only [IH, e, List.replicate_add, Nat.mul_succ, add_comm, List.replicate_succ, List.cons_bind]
#align turing.list_blank.bind Turing.ListBlank.bind
@[simp]
theorem ListBlank.bind_mk {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (l : List Γ) (f : Γ → List Γ') (hf) :
(ListBlank.mk l).bind f hf = ListBlank.mk (l.bind f) :=
rfl
#align turing.list_blank.bind_mk Turing.ListBlank.bind_mk
@[simp]
theorem ListBlank.cons_bind {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (a : Γ) (l : ListBlank Γ)
(f : Γ → List Γ') (hf) : (l.cons a).bind f hf = (l.bind f hf).append (f a) := by
refine l.inductionOn fun l ↦ ?_
-- Porting note: Added `suffices` to get `simp` to work.
suffices ((mk l).cons a).bind f hf = ((mk l).bind f hf).append (f a) by exact this
simp only [ListBlank.append_mk, ListBlank.bind_mk, ListBlank.cons_mk, List.cons_bind]
#align turing.list_blank.cons_bind Turing.ListBlank.cons_bind
structure Tape (Γ : Type*) [Inhabited Γ] where
head : Γ
left : ListBlank Γ
right : ListBlank Γ
#align turing.tape Turing.Tape
instance Tape.inhabited {Γ} [Inhabited Γ] : Inhabited (Tape Γ) :=
⟨by constructor <;> apply default⟩
#align turing.tape.inhabited Turing.Tape.inhabited
inductive Dir
| left
| right
deriving DecidableEq, Inhabited
#align turing.dir Turing.Dir
def Tape.left₀ {Γ} [Inhabited Γ] (T : Tape Γ) : ListBlank Γ :=
T.left.cons T.head
#align turing.tape.left₀ Turing.Tape.left₀
def Tape.right₀ {Γ} [Inhabited Γ] (T : Tape Γ) : ListBlank Γ :=
T.right.cons T.head
#align turing.tape.right₀ Turing.Tape.right₀
def Tape.move {Γ} [Inhabited Γ] : Dir → Tape Γ → Tape Γ
| Dir.left, ⟨a, L, R⟩ => ⟨L.head, L.tail, R.cons a⟩
| Dir.right, ⟨a, L, R⟩ => ⟨R.head, L.cons a, R.tail⟩
#align turing.tape.move Turing.Tape.move
@[simp]
theorem Tape.move_left_right {Γ} [Inhabited Γ] (T : Tape Γ) :
(T.move Dir.left).move Dir.right = T := by
cases T; simp [Tape.move]
#align turing.tape.move_left_right Turing.Tape.move_left_right
@[simp]
theorem Tape.move_right_left {Γ} [Inhabited Γ] (T : Tape Γ) :
(T.move Dir.right).move Dir.left = T := by
cases T; simp [Tape.move]
#align turing.tape.move_right_left Turing.Tape.move_right_left
def Tape.mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) : Tape Γ :=
⟨R.head, L, R.tail⟩
#align turing.tape.mk' Turing.Tape.mk'
@[simp]
theorem Tape.mk'_left {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).left = L :=
rfl
#align turing.tape.mk'_left Turing.Tape.mk'_left
@[simp]
theorem Tape.mk'_head {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).head = R.head :=
rfl
#align turing.tape.mk'_head Turing.Tape.mk'_head
@[simp]
theorem Tape.mk'_right {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).right = R.tail :=
rfl
#align turing.tape.mk'_right Turing.Tape.mk'_right
@[simp]
theorem Tape.mk'_right₀ {Γ} [Inhabited Γ] (L R : ListBlank Γ) : (Tape.mk' L R).right₀ = R :=
ListBlank.cons_head_tail _
#align turing.tape.mk'_right₀ Turing.Tape.mk'_right₀
@[simp]
theorem Tape.mk'_left_right₀ {Γ} [Inhabited Γ] (T : Tape Γ) : Tape.mk' T.left T.right₀ = T := by
cases T
simp only [Tape.right₀, Tape.mk', ListBlank.head_cons, ListBlank.tail_cons, eq_self_iff_true,
and_self_iff]
#align turing.tape.mk'_left_right₀ Turing.Tape.mk'_left_right₀
theorem Tape.exists_mk' {Γ} [Inhabited Γ] (T : Tape Γ) : ∃ L R, T = Tape.mk' L R :=
⟨_, _, (Tape.mk'_left_right₀ _).symm⟩
#align turing.tape.exists_mk' Turing.Tape.exists_mk'
@[simp]
theorem Tape.move_left_mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) :
(Tape.mk' L R).move Dir.left = Tape.mk' L.tail (R.cons L.head) := by
simp only [Tape.move, Tape.mk', ListBlank.head_cons, eq_self_iff_true, ListBlank.cons_head_tail,
and_self_iff, ListBlank.tail_cons]
#align turing.tape.move_left_mk' Turing.Tape.move_left_mk'
@[simp]
theorem Tape.move_right_mk' {Γ} [Inhabited Γ] (L R : ListBlank Γ) :
(Tape.mk' L R).move Dir.right = Tape.mk' (L.cons R.head) R.tail := by
simp only [Tape.move, Tape.mk', ListBlank.head_cons, eq_self_iff_true, ListBlank.cons_head_tail,
and_self_iff, ListBlank.tail_cons]
#align turing.tape.move_right_mk' Turing.Tape.move_right_mk'
def Tape.mk₂ {Γ} [Inhabited Γ] (L R : List Γ) : Tape Γ :=
Tape.mk' (ListBlank.mk L) (ListBlank.mk R)
#align turing.tape.mk₂ Turing.Tape.mk₂
def Tape.mk₁ {Γ} [Inhabited Γ] (l : List Γ) : Tape Γ :=
Tape.mk₂ [] l
#align turing.tape.mk₁ Turing.Tape.mk₁
def Tape.nth {Γ} [Inhabited Γ] (T : Tape Γ) : ℤ → Γ
| 0 => T.head
| (n + 1 : ℕ) => T.right.nth n
| -(n + 1 : ℕ) => T.left.nth n
#align turing.tape.nth Turing.Tape.nth
@[simp]
theorem Tape.nth_zero {Γ} [Inhabited Γ] (T : Tape Γ) : T.nth 0 = T.1 :=
rfl
#align turing.tape.nth_zero Turing.Tape.nth_zero
theorem Tape.right₀_nth {Γ} [Inhabited Γ] (T : Tape Γ) (n : ℕ) : T.right₀.nth n = T.nth n := by
cases n <;> simp only [Tape.nth, Tape.right₀, Int.ofNat_zero, ListBlank.nth_zero,
ListBlank.nth_succ, ListBlank.head_cons, ListBlank.tail_cons, Nat.zero_eq]
#align turing.tape.right₀_nth Turing.Tape.right₀_nth
@[simp]
theorem Tape.mk'_nth_nat {Γ} [Inhabited Γ] (L R : ListBlank Γ) (n : ℕ) :
(Tape.mk' L R).nth n = R.nth n := by
rw [← Tape.right₀_nth, Tape.mk'_right₀]
#align turing.tape.mk'_nth_nat Turing.Tape.mk'_nth_nat
@[simp]
theorem Tape.move_left_nth {Γ} [Inhabited Γ] :
∀ (T : Tape Γ) (i : ℤ), (T.move Dir.left).nth i = T.nth (i - 1)
| ⟨_, L, _⟩, -(n + 1 : ℕ) => (ListBlank.nth_succ _ _).symm
| ⟨_, L, _⟩, 0 => (ListBlank.nth_zero _).symm
| ⟨a, L, R⟩, 1 => (ListBlank.nth_zero _).trans (ListBlank.head_cons _ _)
| ⟨a, L, R⟩, (n + 1 : ℕ) + 1 => by
rw [add_sub_cancel_right]
change (R.cons a).nth (n + 1) = R.nth n
rw [ListBlank.nth_succ, ListBlank.tail_cons]
#align turing.tape.move_left_nth Turing.Tape.move_left_nth
@[simp]
theorem Tape.move_right_nth {Γ} [Inhabited Γ] (T : Tape Γ) (i : ℤ) :
(T.move Dir.right).nth i = T.nth (i + 1) := by
conv => rhs; rw [← T.move_right_left]
rw [Tape.move_left_nth, add_sub_cancel_right]
#align turing.tape.move_right_nth Turing.Tape.move_right_nth
@[simp]
theorem Tape.move_right_n_head {Γ} [Inhabited Γ] (T : Tape Γ) (i : ℕ) :
((Tape.move Dir.right)^[i] T).head = T.nth i := by
induction i generalizing T
· rfl
· simp only [*, Tape.move_right_nth, Int.ofNat_succ, iterate_succ, Function.comp_apply]
#align turing.tape.move_right_n_head Turing.Tape.move_right_n_head
def Tape.write {Γ} [Inhabited Γ] (b : Γ) (T : Tape Γ) : Tape Γ :=
{ T with head := b }
#align turing.tape.write Turing.Tape.write
@[simp]
theorem Tape.write_self {Γ} [Inhabited Γ] : ∀ T : Tape Γ, T.write T.1 = T := by
rintro ⟨⟩; rfl
#align turing.tape.write_self Turing.Tape.write_self
@[simp]
theorem Tape.write_nth {Γ} [Inhabited Γ] (b : Γ) :
∀ (T : Tape Γ) {i : ℤ}, (T.write b).nth i = if i = 0 then b else T.nth i
| _, 0 => rfl
| _, (_ + 1 : ℕ) => rfl
| _, -(_ + 1 : ℕ) => rfl
#align turing.tape.write_nth Turing.Tape.write_nth
@[simp]
theorem Tape.write_mk' {Γ} [Inhabited Γ] (a b : Γ) (L R : ListBlank Γ) :
(Tape.mk' L (R.cons a)).write b = Tape.mk' L (R.cons b) := by
simp only [Tape.write, Tape.mk', ListBlank.head_cons, ListBlank.tail_cons, eq_self_iff_true,
and_self_iff]
#align turing.tape.write_mk' Turing.Tape.write_mk'
def Tape.map {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (T : Tape Γ) : Tape Γ' :=
⟨f T.1, T.2.map f, T.3.map f⟩
#align turing.tape.map Turing.Tape.map
@[simp]
theorem Tape.map_fst {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') :
∀ T : Tape Γ, (T.map f).1 = f T.1 := by
rintro ⟨⟩; rfl
#align turing.tape.map_fst Turing.Tape.map_fst
@[simp]
theorem Tape.map_write {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (b : Γ) :
∀ T : Tape Γ, (T.write b).map f = (T.map f).write (f b) := by
rintro ⟨⟩; rfl
#align turing.tape.map_write Turing.Tape.map_write
-- Porting note: `simpNF` complains about LHS does not simplify when using the simp lemma on
-- itself, but it does indeed.
@[simp, nolint simpNF]
theorem Tape.write_move_right_n {Γ} [Inhabited Γ] (f : Γ → Γ) (L R : ListBlank Γ) (n : ℕ) :
((Tape.move Dir.right)^[n] (Tape.mk' L R)).write (f (R.nth n)) =
(Tape.move Dir.right)^[n] (Tape.mk' L (R.modifyNth f n)) := by
induction' n with n IH generalizing L R
· simp only [ListBlank.nth_zero, ListBlank.modifyNth, iterate_zero_apply, Nat.zero_eq]
rw [← Tape.write_mk', ListBlank.cons_head_tail]
simp only [ListBlank.head_cons, ListBlank.nth_succ, ListBlank.modifyNth, Tape.move_right_mk',
ListBlank.tail_cons, iterate_succ_apply, IH]
#align turing.tape.write_move_right_n Turing.Tape.write_move_right_n
theorem Tape.map_move {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (T : Tape Γ) (d) :
(T.move d).map f = (T.map f).move d := by
cases T
cases d <;> simp only [Tape.move, Tape.map, ListBlank.head_map, eq_self_iff_true,
ListBlank.map_cons, and_self_iff, ListBlank.tail_map]
#align turing.tape.map_move Turing.Tape.map_move
theorem Tape.map_mk' {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (L R : ListBlank Γ) :
(Tape.mk' L R).map f = Tape.mk' (L.map f) (R.map f) := by
simp only [Tape.mk', Tape.map, ListBlank.head_map, eq_self_iff_true, and_self_iff,
ListBlank.tail_map]
#align turing.tape.map_mk' Turing.Tape.map_mk'
theorem Tape.map_mk₂ {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (L R : List Γ) :
(Tape.mk₂ L R).map f = Tape.mk₂ (L.map f) (R.map f) := by
simp only [Tape.mk₂, Tape.map_mk', ListBlank.map_mk]
#align turing.tape.map_mk₂ Turing.Tape.map_mk₂
theorem Tape.map_mk₁ {Γ Γ'} [Inhabited Γ] [Inhabited Γ'] (f : PointedMap Γ Γ') (l : List Γ) :
(Tape.mk₁ l).map f = Tape.mk₁ (l.map f) :=
Tape.map_mk₂ _ _ _
#align turing.tape.map_mk₁ Turing.Tape.map_mk₁
def eval {σ} (f : σ → Option σ) : σ → Part σ :=
PFun.fix fun s ↦ Part.some <| (f s).elim (Sum.inl s) Sum.inr
#align turing.eval Turing.eval
def Reaches {σ} (f : σ → Option σ) : σ → σ → Prop :=
ReflTransGen fun a b ↦ b ∈ f a
#align turing.reaches Turing.Reaches
def Reaches₁ {σ} (f : σ → Option σ) : σ → σ → Prop :=
TransGen fun a b ↦ b ∈ f a
#align turing.reaches₁ Turing.Reaches₁
theorem reaches₁_eq {σ} {f : σ → Option σ} {a b c} (h : f a = f b) :
Reaches₁ f a c ↔ Reaches₁ f b c :=
TransGen.head'_iff.trans (TransGen.head'_iff.trans <| by rw [h]).symm
#align turing.reaches₁_eq Turing.reaches₁_eq
theorem reaches_total {σ} {f : σ → Option σ} {a b c} (hab : Reaches f a b) (hac : Reaches f a c) :
Reaches f b c ∨ Reaches f c b :=
ReflTransGen.total_of_right_unique (fun _ _ _ ↦ Option.mem_unique) hab hac
#align turing.reaches_total Turing.reaches_total
| Mathlib/Computability/TuringMachine.lean | 771 | 774 | theorem reaches₁_fwd {σ} {f : σ → Option σ} {a b c} (h₁ : Reaches₁ f a c) (h₂ : b ∈ f a) :
Reaches f b c := by |
rcases TransGen.head'_iff.1 h₁ with ⟨b', hab, hbc⟩
cases Option.mem_unique hab h₂; exact hbc
|
import Mathlib.Algebra.Order.BigOperators.Ring.Finset
import Mathlib.Analysis.Convex.Hull
import Mathlib.LinearAlgebra.AffineSpace.Basis
#align_import analysis.convex.combination from "leanprover-community/mathlib"@"92bd7b1ffeb306a89f450bee126ddd8a284c259d"
open Set Function
open scoped Classical
open Pointwise
universe u u'
variable {R R' E F ι ι' α : Type*} [LinearOrderedField R] [LinearOrderedField R'] [AddCommGroup E]
[AddCommGroup F] [LinearOrderedAddCommGroup α] [Module R E] [Module R F] [Module R α]
[OrderedSMul R α] {s : Set E}
def Finset.centerMass (t : Finset ι) (w : ι → R) (z : ι → E) : E :=
(∑ i ∈ t, w i)⁻¹ • ∑ i ∈ t, w i • z i
#align finset.center_mass Finset.centerMass
variable (i j : ι) (c : R) (t : Finset ι) (w : ι → R) (z : ι → E)
open Finset
theorem Finset.centerMass_empty : (∅ : Finset ι).centerMass w z = 0 := by
simp only [centerMass, sum_empty, smul_zero]
#align finset.center_mass_empty Finset.centerMass_empty
theorem Finset.centerMass_pair (hne : i ≠ j) :
({i, j} : Finset ι).centerMass w z = (w i / (w i + w j)) • z i + (w j / (w i + w j)) • z j := by
simp only [centerMass, sum_pair hne, smul_add, (mul_smul _ _ _).symm, div_eq_inv_mul]
#align finset.center_mass_pair Finset.centerMass_pair
variable {w}
theorem Finset.centerMass_insert (ha : i ∉ t) (hw : ∑ j ∈ t, w j ≠ 0) :
(insert i t).centerMass w z =
(w i / (w i + ∑ j ∈ t, w j)) • z i +
((∑ j ∈ t, w j) / (w i + ∑ j ∈ t, w j)) • t.centerMass w z := by
simp only [centerMass, sum_insert ha, smul_add, (mul_smul _ _ _).symm, ← div_eq_inv_mul]
congr 2
rw [div_mul_eq_mul_div, mul_inv_cancel hw, one_div]
#align finset.center_mass_insert Finset.centerMass_insert
theorem Finset.centerMass_singleton (hw : w i ≠ 0) : ({i} : Finset ι).centerMass w z = z i := by
rw [centerMass, sum_singleton, sum_singleton, ← mul_smul, inv_mul_cancel hw, one_smul]
#align finset.center_mass_singleton Finset.centerMass_singleton
@[simp] lemma Finset.centerMass_neg_left : t.centerMass (-w) z = t.centerMass w z := by
simp [centerMass, inv_neg]
lemma Finset.centerMass_smul_left {c : R'} [Module R' R] [Module R' E] [SMulCommClass R' R R]
[IsScalarTower R' R R] [SMulCommClass R R' E] [IsScalarTower R' R E] (hc : c ≠ 0) :
t.centerMass (c • w) z = t.centerMass w z := by
simp [centerMass, -smul_assoc, smul_assoc c, ← smul_sum, smul_inv₀, smul_smul_smul_comm, hc]
theorem Finset.centerMass_eq_of_sum_1 (hw : ∑ i ∈ t, w i = 1) :
t.centerMass w z = ∑ i ∈ t, w i • z i := by
simp only [Finset.centerMass, hw, inv_one, one_smul]
#align finset.center_mass_eq_of_sum_1 Finset.centerMass_eq_of_sum_1
theorem Finset.centerMass_smul : (t.centerMass w fun i => c • z i) = c • t.centerMass w z := by
simp only [Finset.centerMass, Finset.smul_sum, (mul_smul _ _ _).symm, mul_comm c, mul_assoc]
#align finset.center_mass_smul Finset.centerMass_smul
theorem Finset.centerMass_segment' (s : Finset ι) (t : Finset ι') (ws : ι → R) (zs : ι → E)
(wt : ι' → R) (zt : ι' → E) (hws : ∑ i ∈ s, ws i = 1) (hwt : ∑ i ∈ t, wt i = 1) (a b : R)
(hab : a + b = 1) : a • s.centerMass ws zs + b • t.centerMass wt zt = (s.disjSum t).centerMass
(Sum.elim (fun i => a * ws i) fun j => b * wt j) (Sum.elim zs zt) := by
rw [s.centerMass_eq_of_sum_1 _ hws, t.centerMass_eq_of_sum_1 _ hwt, smul_sum, smul_sum, ←
Finset.sum_sum_elim, Finset.centerMass_eq_of_sum_1]
· congr with ⟨⟩ <;> simp only [Sum.elim_inl, Sum.elim_inr, mul_smul]
· rw [sum_sum_elim, ← mul_sum, ← mul_sum, hws, hwt, mul_one, mul_one, hab]
#align finset.center_mass_segment' Finset.centerMass_segment'
theorem Finset.centerMass_segment (s : Finset ι) (w₁ w₂ : ι → R) (z : ι → E)
(hw₁ : ∑ i ∈ s, w₁ i = 1) (hw₂ : ∑ i ∈ s, w₂ i = 1) (a b : R) (hab : a + b = 1) :
a • s.centerMass w₁ z + b • s.centerMass w₂ z =
s.centerMass (fun i => a * w₁ i + b * w₂ i) z := by
have hw : (∑ i ∈ s, (a * w₁ i + b * w₂ i)) = 1 := by
simp only [← mul_sum, sum_add_distrib, mul_one, *]
simp only [Finset.centerMass_eq_of_sum_1, Finset.centerMass_eq_of_sum_1 _ _ hw,
smul_sum, sum_add_distrib, add_smul, mul_smul, *]
#align finset.center_mass_segment Finset.centerMass_segment
theorem Finset.centerMass_ite_eq (hi : i ∈ t) :
t.centerMass (fun j => if i = j then (1 : R) else 0) z = z i := by
rw [Finset.centerMass_eq_of_sum_1]
· trans ∑ j ∈ t, if i = j then z i else 0
· congr with i
split_ifs with h
exacts [h ▸ one_smul _ _, zero_smul _ _]
· rw [sum_ite_eq, if_pos hi]
· rw [sum_ite_eq, if_pos hi]
#align finset.center_mass_ite_eq Finset.centerMass_ite_eq
variable {t}
theorem Finset.centerMass_subset {t' : Finset ι} (ht : t ⊆ t') (h : ∀ i ∈ t', i ∉ t → w i = 0) :
t.centerMass w z = t'.centerMass w z := by
rw [centerMass, sum_subset ht h, smul_sum, centerMass, smul_sum]
apply sum_subset ht
intro i hit' hit
rw [h i hit' hit, zero_smul, smul_zero]
#align finset.center_mass_subset Finset.centerMass_subset
theorem Finset.centerMass_filter_ne_zero :
(t.filter fun i => w i ≠ 0).centerMass w z = t.centerMass w z :=
Finset.centerMass_subset z (filter_subset _ _) fun i hit hit' => by
simpa only [hit, mem_filter, true_and_iff, Ne, Classical.not_not] using hit'
#align finset.center_mass_filter_ne_zero Finset.centerMass_filter_ne_zero
variable {z}
lemma Finset.centerMass_of_sum_add_sum_eq_zero {s t : Finset ι}
(hw : ∑ i ∈ s, w i + ∑ i ∈ t, w i = 0) (hz : ∑ i ∈ s, w i • z i + ∑ i ∈ t, w i • z i = 0) :
s.centerMass w z = t.centerMass w z := by
simp [centerMass, eq_neg_of_add_eq_zero_right hw, eq_neg_of_add_eq_zero_left hz, ← neg_inv]
theorem Convex.centerMass_mem (hs : Convex R s) :
(∀ i ∈ t, 0 ≤ w i) → (0 < ∑ i ∈ t, w i) → (∀ i ∈ t, z i ∈ s) → t.centerMass w z ∈ s := by
induction' t using Finset.induction with i t hi ht
· simp [lt_irrefl]
intro h₀ hpos hmem
have zi : z i ∈ s := hmem _ (mem_insert_self _ _)
have hs₀ : ∀ j ∈ t, 0 ≤ w j := fun j hj => h₀ j <| mem_insert_of_mem hj
rw [sum_insert hi] at hpos
by_cases hsum_t : ∑ j ∈ t, w j = 0
· have ws : ∀ j ∈ t, w j = 0 := (sum_eq_zero_iff_of_nonneg hs₀).1 hsum_t
have wz : ∑ j ∈ t, w j • z j = 0 := sum_eq_zero fun i hi => by simp [ws i hi]
simp only [centerMass, sum_insert hi, wz, hsum_t, add_zero]
simp only [hsum_t, add_zero] at hpos
rw [← mul_smul, inv_mul_cancel (ne_of_gt hpos), one_smul]
exact zi
· rw [Finset.centerMass_insert _ _ _ hi hsum_t]
refine convex_iff_div.1 hs zi (ht hs₀ ?_ ?_) ?_ (sum_nonneg hs₀) hpos
· exact lt_of_le_of_ne (sum_nonneg hs₀) (Ne.symm hsum_t)
· intro j hj
exact hmem j (mem_insert_of_mem hj)
· exact h₀ _ (mem_insert_self _ _)
#align convex.center_mass_mem Convex.centerMass_mem
theorem Convex.sum_mem (hs : Convex R s) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : ∑ i ∈ t, w i = 1)
(hz : ∀ i ∈ t, z i ∈ s) : (∑ i ∈ t, w i • z i) ∈ s := by
simpa only [h₁, centerMass, inv_one, one_smul] using
hs.centerMass_mem h₀ (h₁.symm ▸ zero_lt_one) hz
#align convex.sum_mem Convex.sum_mem
theorem Convex.finsum_mem {ι : Sort*} {w : ι → R} {z : ι → E} {s : Set E} (hs : Convex R s)
(h₀ : ∀ i, 0 ≤ w i) (h₁ : ∑ᶠ i, w i = 1) (hz : ∀ i, w i ≠ 0 → z i ∈ s) :
(∑ᶠ i, w i • z i) ∈ s := by
have hfin_w : (support (w ∘ PLift.down)).Finite := by
by_contra H
rw [finsum, dif_neg H] at h₁
exact zero_ne_one h₁
have hsub : support ((fun i => w i • z i) ∘ PLift.down) ⊆ hfin_w.toFinset :=
(support_smul_subset_left _ _).trans hfin_w.coe_toFinset.ge
rw [finsum_eq_sum_plift_of_support_subset hsub]
refine hs.sum_mem (fun _ _ => h₀ _) ?_ fun i hi => hz _ ?_
· rwa [finsum, dif_pos hfin_w] at h₁
· rwa [hfin_w.mem_toFinset] at hi
#align convex.finsum_mem Convex.finsum_mem
theorem convex_iff_sum_mem : Convex R s ↔ ∀ (t : Finset E) (w : E → R),
(∀ i ∈ t, 0 ≤ w i) → ∑ i ∈ t, w i = 1 → (∀ x ∈ t, x ∈ s) → (∑ x ∈ t, w x • x) ∈ s := by
refine ⟨fun hs t w hw₀ hw₁ hts => hs.sum_mem hw₀ hw₁ hts, ?_⟩
intro h x hx y hy a b ha hb hab
by_cases h_cases : x = y
· rw [h_cases, ← add_smul, hab, one_smul]
exact hy
· convert h {x, y} (fun z => if z = y then b else a) _ _ _
-- Porting note: Original proof had 2 `simp_intro i hi`
· simp only [sum_pair h_cases, if_neg h_cases, if_pos trivial]
· intro i _
simp only
split_ifs <;> assumption
· simp only [sum_pair h_cases, if_neg h_cases, if_pos trivial, hab]
· intro i hi
simp only [Finset.mem_singleton, Finset.mem_insert] at hi
cases hi <;> subst i <;> assumption
#align convex_iff_sum_mem convex_iff_sum_mem
theorem Finset.centerMass_mem_convexHull (t : Finset ι) {w : ι → R} (hw₀ : ∀ i ∈ t, 0 ≤ w i)
(hws : 0 < ∑ i ∈ t, w i) {z : ι → E} (hz : ∀ i ∈ t, z i ∈ s) :
t.centerMass w z ∈ convexHull R s :=
(convex_convexHull R s).centerMass_mem hw₀ hws fun i hi => subset_convexHull R s <| hz i hi
#align finset.center_mass_mem_convex_hull Finset.centerMass_mem_convexHull
lemma Finset.centerMass_mem_convexHull_of_nonpos (t : Finset ι) (hw₀ : ∀ i ∈ t, w i ≤ 0)
(hws : ∑ i ∈ t, w i < 0) (hz : ∀ i ∈ t, z i ∈ s) : t.centerMass w z ∈ convexHull R s := by
rw [← centerMass_neg_left]
exact Finset.centerMass_mem_convexHull _ (fun _i hi ↦ neg_nonneg.2 <| hw₀ _ hi) (by simpa) hz
theorem Finset.centerMass_id_mem_convexHull (t : Finset E) {w : E → R} (hw₀ : ∀ i ∈ t, 0 ≤ w i)
(hws : 0 < ∑ i ∈ t, w i) : t.centerMass w id ∈ convexHull R (t : Set E) :=
t.centerMass_mem_convexHull hw₀ hws fun _ => mem_coe.2
#align finset.center_mass_id_mem_convex_hull Finset.centerMass_id_mem_convexHull
lemma Finset.centerMass_id_mem_convexHull_of_nonpos (t : Finset E) {w : E → R}
(hw₀ : ∀ i ∈ t, w i ≤ 0) (hws : ∑ i ∈ t, w i < 0) :
t.centerMass w id ∈ convexHull R (t : Set E) :=
t.centerMass_mem_convexHull_of_nonpos hw₀ hws fun _ ↦ mem_coe.2
theorem affineCombination_eq_centerMass {ι : Type*} {t : Finset ι} {p : ι → E} {w : ι → R}
(hw₂ : ∑ i ∈ t, w i = 1) : t.affineCombination R p w = centerMass t w p := by
rw [affineCombination_eq_weightedVSubOfPoint_vadd_of_sum_eq_one _ w _ hw₂ (0 : E),
Finset.weightedVSubOfPoint_apply, vadd_eq_add, add_zero, t.centerMass_eq_of_sum_1 _ hw₂]
simp_rw [vsub_eq_sub, sub_zero]
#align affine_combination_eq_center_mass affineCombination_eq_centerMass
theorem affineCombination_mem_convexHull {s : Finset ι} {v : ι → E} {w : ι → R}
(hw₀ : ∀ i ∈ s, 0 ≤ w i) (hw₁ : s.sum w = 1) :
s.affineCombination R v w ∈ convexHull R (range v) := by
rw [affineCombination_eq_centerMass hw₁]
apply s.centerMass_mem_convexHull hw₀
· simp [hw₁]
· simp
#align affine_combination_mem_convex_hull affineCombination_mem_convexHull
@[simp]
theorem Finset.centroid_eq_centerMass (s : Finset ι) (hs : s.Nonempty) (p : ι → E) :
s.centroid R p = s.centerMass (s.centroidWeights R) p :=
affineCombination_eq_centerMass (s.sum_centroidWeights_eq_one_of_nonempty R hs)
#align finset.centroid_eq_center_mass Finset.centroid_eq_centerMass
theorem Finset.centroid_mem_convexHull (s : Finset E) (hs : s.Nonempty) :
s.centroid R id ∈ convexHull R (s : Set E) := by
rw [s.centroid_eq_centerMass hs]
apply s.centerMass_id_mem_convexHull
· simp only [inv_nonneg, imp_true_iff, Nat.cast_nonneg, Finset.centroidWeights_apply]
· have hs_card : (s.card : R) ≠ 0 := by simp [Finset.nonempty_iff_ne_empty.mp hs]
simp only [hs_card, Finset.sum_const, nsmul_eq_mul, mul_inv_cancel, Ne, not_false_iff,
Finset.centroidWeights_apply, zero_lt_one]
#align finset.centroid_mem_convex_hull Finset.centroid_mem_convexHull
theorem convexHull_range_eq_exists_affineCombination (v : ι → E) : convexHull R (range v) =
{ x | ∃ (s : Finset ι) (w : ι → R), (∀ i ∈ s, 0 ≤ w i) ∧ s.sum w = 1 ∧
s.affineCombination R v w = x } := by
refine Subset.antisymm (convexHull_min ?_ ?_) ?_
· intro x hx
obtain ⟨i, hi⟩ := Set.mem_range.mp hx
exact ⟨{i}, Function.const ι (1 : R), by simp, by simp, by simp [hi]⟩
· rintro x ⟨s, w, hw₀, hw₁, rfl⟩ y ⟨s', w', hw₀', hw₁', rfl⟩ a b ha hb hab
let W : ι → R := fun i => (if i ∈ s then a * w i else 0) + if i ∈ s' then b * w' i else 0
have hW₁ : (s ∪ s').sum W = 1 := by
rw [sum_add_distrib, ← sum_subset subset_union_left,
← sum_subset subset_union_right, sum_ite_of_true _ _ fun i hi => hi,
sum_ite_of_true _ _ fun i hi => hi, ← mul_sum, ← mul_sum, hw₁, hw₁', ← add_mul, hab,
mul_one] <;> intro i _ hi' <;> simp [hi']
refine ⟨s ∪ s', W, ?_, hW₁, ?_⟩
· rintro i -
by_cases hi : i ∈ s <;> by_cases hi' : i ∈ s' <;>
simp [W, hi, hi', add_nonneg, mul_nonneg ha (hw₀ i _), mul_nonneg hb (hw₀' i _)]
· simp_rw [affineCombination_eq_linear_combination (s ∪ s') v _ hW₁,
affineCombination_eq_linear_combination s v w hw₁,
affineCombination_eq_linear_combination s' v w' hw₁', add_smul, sum_add_distrib]
rw [← sum_subset subset_union_left, ← sum_subset subset_union_right]
· simp only [ite_smul, sum_ite_of_true _ _ fun _ hi => hi, mul_smul, ← smul_sum]
· intro i _ hi'
simp [hi']
· intro i _ hi'
simp [hi']
· rintro x ⟨s, w, hw₀, hw₁, rfl⟩
exact affineCombination_mem_convexHull hw₀ hw₁
#align convex_hull_range_eq_exists_affine_combination convexHull_range_eq_exists_affineCombination
theorem convexHull_eq (s : Set E) : convexHull R s =
{ x : E | ∃ (ι : Type) (t : Finset ι) (w : ι → R) (z : ι → E), (∀ i ∈ t, 0 ≤ w i) ∧
∑ i ∈ t, w i = 1 ∧ (∀ i ∈ t, z i ∈ s) ∧ t.centerMass w z = x } := by
refine Subset.antisymm (convexHull_min ?_ ?_) ?_
· intro x hx
use PUnit, {PUnit.unit}, fun _ => 1, fun _ => x, fun _ _ => zero_le_one, sum_singleton _ _,
fun _ _ => hx
simp only [Finset.centerMass, Finset.sum_singleton, inv_one, one_smul]
· rintro x ⟨ι, sx, wx, zx, hwx₀, hwx₁, hzx, rfl⟩ y ⟨ι', sy, wy, zy, hwy₀, hwy₁, hzy, rfl⟩ a b ha
hb hab
rw [Finset.centerMass_segment' _ _ _ _ _ _ hwx₁ hwy₁ _ _ hab]
refine ⟨_, _, _, _, ?_, ?_, ?_, rfl⟩
· rintro i hi
rw [Finset.mem_disjSum] at hi
rcases hi with (⟨j, hj, rfl⟩ | ⟨j, hj, rfl⟩) <;> simp only [Sum.elim_inl, Sum.elim_inr] <;>
apply_rules [mul_nonneg, hwx₀, hwy₀]
· simp [Finset.sum_sum_elim, ← mul_sum, *]
· intro i hi
rw [Finset.mem_disjSum] at hi
rcases hi with (⟨j, hj, rfl⟩ | ⟨j, hj, rfl⟩) <;> apply_rules [hzx, hzy]
· rintro _ ⟨ι, t, w, z, hw₀, hw₁, hz, rfl⟩
exact t.centerMass_mem_convexHull hw₀ (hw₁.symm ▸ zero_lt_one) hz
#align convex_hull_eq convexHull_eq
theorem Finset.convexHull_eq (s : Finset E) : convexHull R ↑s =
{ x : E | ∃ w : E → R, (∀ y ∈ s, 0 ≤ w y) ∧ ∑ y ∈ s, w y = 1 ∧ s.centerMass w id = x } := by
refine Set.Subset.antisymm (convexHull_min ?_ ?_) ?_
· intro x hx
rw [Finset.mem_coe] at hx
refine ⟨_, ?_, ?_, Finset.centerMass_ite_eq _ _ _ hx⟩
· intros
split_ifs
exacts [zero_le_one, le_refl 0]
· rw [Finset.sum_ite_eq, if_pos hx]
· rintro x ⟨wx, hwx₀, hwx₁, rfl⟩ y ⟨wy, hwy₀, hwy₁, rfl⟩ a b ha hb hab
rw [Finset.centerMass_segment _ _ _ _ hwx₁ hwy₁ _ _ hab]
refine ⟨_, ?_, ?_, rfl⟩
· rintro i hi
apply_rules [add_nonneg, mul_nonneg, hwx₀, hwy₀]
· simp only [Finset.sum_add_distrib, ← mul_sum, mul_one, *]
· rintro _ ⟨w, hw₀, hw₁, rfl⟩
exact
s.centerMass_mem_convexHull (fun x hx => hw₀ _ hx) (hw₁.symm ▸ zero_lt_one) fun x hx => hx
#align finset.convex_hull_eq Finset.convexHull_eq
theorem Finset.mem_convexHull {s : Finset E} {x : E} : x ∈ convexHull R (s : Set E) ↔
∃ w : E → R, (∀ y ∈ s, 0 ≤ w y) ∧ ∑ y ∈ s, w y = 1 ∧ s.centerMass w id = x := by
rw [Finset.convexHull_eq, Set.mem_setOf_eq]
#align finset.mem_convex_hull Finset.mem_convexHull
lemma Finset.mem_convexHull' {s : Finset E} {x : E} :
x ∈ convexHull R (s : Set E) ↔
∃ w : E → R, (∀ y ∈ s, 0 ≤ w y) ∧ ∑ y ∈ s, w y = 1 ∧ ∑ y ∈ s, w y • y = x := by
rw [mem_convexHull]
refine exists_congr fun w ↦ and_congr_right' $ and_congr_right fun hw ↦ ?_
simp_rw [centerMass_eq_of_sum_1 _ _ hw, id_eq]
theorem Set.Finite.convexHull_eq {s : Set E} (hs : s.Finite) : convexHull R s =
{ x : E | ∃ w : E → R, (∀ y ∈ s, 0 ≤ w y) ∧ ∑ y ∈ hs.toFinset, w y = 1 ∧
hs.toFinset.centerMass w id = x } := by
simpa only [Set.Finite.coe_toFinset, Set.Finite.mem_toFinset, exists_prop] using
hs.toFinset.convexHull_eq
#align set.finite.convex_hull_eq Set.Finite.convexHull_eq
theorem convexHull_eq_union_convexHull_finite_subsets (s : Set E) :
convexHull R s = ⋃ (t : Finset E) (w : ↑t ⊆ s), convexHull R ↑t := by
refine Subset.antisymm ?_ ?_
· rw [_root_.convexHull_eq]
rintro x ⟨ι, t, w, z, hw₀, hw₁, hz, rfl⟩
simp only [mem_iUnion]
refine ⟨t.image z, ?_, ?_⟩
· rw [coe_image, Set.image_subset_iff]
exact hz
· apply t.centerMass_mem_convexHull hw₀
· simp only [hw₁, zero_lt_one]
· exact fun i hi => Finset.mem_coe.2 (Finset.mem_image_of_mem _ hi)
· exact iUnion_subset fun i => iUnion_subset convexHull_mono
#align convex_hull_eq_union_convex_hull_finite_subsets convexHull_eq_union_convexHull_finite_subsets
theorem mk_mem_convexHull_prod {t : Set F} {x : E} {y : F} (hx : x ∈ convexHull R s)
(hy : y ∈ convexHull R t) : (x, y) ∈ convexHull R (s ×ˢ t) := by
rw [_root_.convexHull_eq] at hx hy ⊢
obtain ⟨ι, a, w, S, hw, hw', hS, hSp⟩ := hx
obtain ⟨κ, b, v, T, hv, hv', hT, hTp⟩ := hy
have h_sum : ∑ i ∈ a ×ˢ b, w i.fst * v i.snd = 1 := by
rw [Finset.sum_product, ← hw']
congr
ext i
have : ∑ y ∈ b, w i * v y = ∑ y ∈ b, v y * w i := by
congr
ext
simp [mul_comm]
rw [this, ← Finset.sum_mul, hv']
simp
refine
⟨ι × κ, a ×ˢ b, fun p => w p.1 * v p.2, fun p => (S p.1, T p.2), fun p hp => ?_, h_sum,
fun p hp => ?_, ?_⟩
· rw [mem_product] at hp
exact mul_nonneg (hw p.1 hp.1) (hv p.2 hp.2)
· rw [mem_product] at hp
exact ⟨hS p.1 hp.1, hT p.2 hp.2⟩
ext
· rw [← hSp, Finset.centerMass_eq_of_sum_1 _ _ hw', Finset.centerMass_eq_of_sum_1 _ _ h_sum]
simp_rw [Prod.fst_sum, Prod.smul_mk]
rw [Finset.sum_product]
congr
ext i
have : (∑ j ∈ b, (w i * v j) • S i) = ∑ j ∈ b, v j • w i • S i := by
congr
ext
rw [mul_smul, smul_comm]
rw [this, ← Finset.sum_smul, hv', one_smul]
· rw [← hTp, Finset.centerMass_eq_of_sum_1 _ _ hv', Finset.centerMass_eq_of_sum_1 _ _ h_sum]
simp_rw [Prod.snd_sum, Prod.smul_mk]
rw [Finset.sum_product, Finset.sum_comm]
congr
ext j
simp_rw [mul_smul]
rw [← Finset.sum_smul, hw', one_smul]
#align mk_mem_convex_hull_prod mk_mem_convexHull_prod
@[simp]
theorem convexHull_prod (s : Set E) (t : Set F) :
convexHull R (s ×ˢ t) = convexHull R s ×ˢ convexHull R t :=
Subset.antisymm
(convexHull_min (prod_mono (subset_convexHull _ _) <| subset_convexHull _ _) <|
(convex_convexHull _ _).prod <| convex_convexHull _ _) <|
prod_subset_iff.2 fun _ hx _ => mk_mem_convexHull_prod hx
#align convex_hull_prod convexHull_prod
| Mathlib/Analysis/Convex/Combination.lean | 461 | 463 | theorem convexHull_add (s t : Set E) : convexHull R (s + t) = convexHull R s + convexHull R t := by |
simp_rw [← image2_add, ← image_prod, ← IsLinearMap.isLinearMap_add.image_convexHull,
convexHull_prod]
|
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Algebra.Group.Int
import Mathlib.Data.Nat.Dist
import Mathlib.Data.Ordmap.Ordnode
import Mathlib.Tactic.Abel
import Mathlib.Tactic.Linarith
#align_import data.ordmap.ordset from "leanprover-community/mathlib"@"47b51515e69f59bca5cf34ef456e6000fe205a69"
variable {α : Type*}
namespace Ordnode
theorem not_le_delta {s} (H : 1 ≤ s) : ¬s ≤ delta * 0 :=
not_le_of_gt H
#align ordnode.not_le_delta Ordnode.not_le_delta
theorem delta_lt_false {a b : ℕ} (h₁ : delta * a < b) (h₂ : delta * b < a) : False :=
not_le_of_lt (lt_trans ((mul_lt_mul_left (by decide)).2 h₁) h₂) <| by
simpa [mul_assoc] using Nat.mul_le_mul_right a (by decide : 1 ≤ delta * delta)
#align ordnode.delta_lt_false Ordnode.delta_lt_false
def realSize : Ordnode α → ℕ
| nil => 0
| node _ l _ r => realSize l + realSize r + 1
#align ordnode.real_size Ordnode.realSize
def Sized : Ordnode α → Prop
| nil => True
| node s l _ r => s = size l + size r + 1 ∧ Sized l ∧ Sized r
#align ordnode.sized Ordnode.Sized
theorem Sized.node' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (node' l x r) :=
⟨rfl, hl, hr⟩
#align ordnode.sized.node' Ordnode.Sized.node'
theorem Sized.eq_node' {s l x r} (h : @Sized α (node s l x r)) : node s l x r = .node' l x r := by
rw [h.1]
#align ordnode.sized.eq_node' Ordnode.Sized.eq_node'
theorem Sized.size_eq {s l x r} (H : Sized (@node α s l x r)) :
size (@node α s l x r) = size l + size r + 1 :=
H.1
#align ordnode.sized.size_eq Ordnode.Sized.size_eq
@[elab_as_elim]
theorem Sized.induction {t} (hl : @Sized α t) {C : Ordnode α → Prop} (H0 : C nil)
(H1 : ∀ l x r, C l → C r → C (.node' l x r)) : C t := by
induction t with
| nil => exact H0
| node _ _ _ _ t_ih_l t_ih_r =>
rw [hl.eq_node']
exact H1 _ _ _ (t_ih_l hl.2.1) (t_ih_r hl.2.2)
#align ordnode.sized.induction Ordnode.Sized.induction
theorem size_eq_realSize : ∀ {t : Ordnode α}, Sized t → size t = realSize t
| nil, _ => rfl
| node s l x r, ⟨h₁, h₂, h₃⟩ => by
rw [size, h₁, size_eq_realSize h₂, size_eq_realSize h₃]; rfl
#align ordnode.size_eq_real_size Ordnode.size_eq_realSize
@[simp]
theorem Sized.size_eq_zero {t : Ordnode α} (ht : Sized t) : size t = 0 ↔ t = nil := by
cases t <;> [simp;simp [ht.1]]
#align ordnode.sized.size_eq_zero Ordnode.Sized.size_eq_zero
theorem Sized.pos {s l x r} (h : Sized (@node α s l x r)) : 0 < s := by
rw [h.1]; apply Nat.le_add_left
#align ordnode.sized.pos Ordnode.Sized.pos
theorem dual_dual : ∀ t : Ordnode α, dual (dual t) = t
| nil => rfl
| node s l x r => by rw [dual, dual, dual_dual l, dual_dual r]
#align ordnode.dual_dual Ordnode.dual_dual
@[simp]
theorem size_dual (t : Ordnode α) : size (dual t) = size t := by cases t <;> rfl
#align ordnode.size_dual Ordnode.size_dual
def BalancedSz (l r : ℕ) : Prop :=
l + r ≤ 1 ∨ l ≤ delta * r ∧ r ≤ delta * l
#align ordnode.balanced_sz Ordnode.BalancedSz
instance BalancedSz.dec : DecidableRel BalancedSz := fun _ _ => Or.decidable
#align ordnode.balanced_sz.dec Ordnode.BalancedSz.dec
def Balanced : Ordnode α → Prop
| nil => True
| node _ l _ r => BalancedSz (size l) (size r) ∧ Balanced l ∧ Balanced r
#align ordnode.balanced Ordnode.Balanced
instance Balanced.dec : DecidablePred (@Balanced α)
| nil => by
unfold Balanced
infer_instance
| node _ l _ r => by
unfold Balanced
haveI := Balanced.dec l
haveI := Balanced.dec r
infer_instance
#align ordnode.balanced.dec Ordnode.Balanced.dec
@[symm]
theorem BalancedSz.symm {l r : ℕ} : BalancedSz l r → BalancedSz r l :=
Or.imp (by rw [add_comm]; exact id) And.symm
#align ordnode.balanced_sz.symm Ordnode.BalancedSz.symm
theorem balancedSz_zero {l : ℕ} : BalancedSz l 0 ↔ l ≤ 1 := by
simp (config := { contextual := true }) [BalancedSz]
#align ordnode.balanced_sz_zero Ordnode.balancedSz_zero
theorem balancedSz_up {l r₁ r₂ : ℕ} (h₁ : r₁ ≤ r₂) (h₂ : l + r₂ ≤ 1 ∨ r₂ ≤ delta * l)
(H : BalancedSz l r₁) : BalancedSz l r₂ := by
refine or_iff_not_imp_left.2 fun h => ?_
refine ⟨?_, h₂.resolve_left h⟩
cases H with
| inl H =>
cases r₂
· cases h (le_trans (Nat.add_le_add_left (Nat.zero_le _) _) H)
· exact le_trans (le_trans (Nat.le_add_right _ _) H) (Nat.le_add_left 1 _)
| inr H =>
exact le_trans H.1 (Nat.mul_le_mul_left _ h₁)
#align ordnode.balanced_sz_up Ordnode.balancedSz_up
theorem balancedSz_down {l r₁ r₂ : ℕ} (h₁ : r₁ ≤ r₂) (h₂ : l + r₂ ≤ 1 ∨ l ≤ delta * r₁)
(H : BalancedSz l r₂) : BalancedSz l r₁ :=
have : l + r₂ ≤ 1 → BalancedSz l r₁ := fun H => Or.inl (le_trans (Nat.add_le_add_left h₁ _) H)
Or.casesOn H this fun H => Or.casesOn h₂ this fun h₂ => Or.inr ⟨h₂, le_trans h₁ H.2⟩
#align ordnode.balanced_sz_down Ordnode.balancedSz_down
theorem Balanced.dual : ∀ {t : Ordnode α}, Balanced t → Balanced (dual t)
| nil, _ => ⟨⟩
| node _ l _ r, ⟨b, bl, br⟩ => ⟨by rw [size_dual, size_dual]; exact b.symm, br.dual, bl.dual⟩
#align ordnode.balanced.dual Ordnode.Balanced.dual
def node3L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : Ordnode α :=
node' (node' l x m) y r
#align ordnode.node3_l Ordnode.node3L
def node3R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) : Ordnode α :=
node' l x (node' m y r)
#align ordnode.node3_r Ordnode.node3R
def node4L : Ordnode α → α → Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ ml y mr, z, r => node' (node' l x ml) y (node' mr z r)
| l, x, nil, z, r => node3L l x nil z r
#align ordnode.node4_l Ordnode.node4L
-- should not happen
def node4R : Ordnode α → α → Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ ml y mr, z, r => node' (node' l x ml) y (node' mr z r)
| l, x, nil, z, r => node3R l x nil z r
#align ordnode.node4_r Ordnode.node4R
-- should not happen
def rotateL : Ordnode α → α → Ordnode α → Ordnode α
| l, x, node _ m y r => if size m < ratio * size r then node3L l x m y r else node4L l x m y r
| l, x, nil => node' l x nil
#align ordnode.rotate_l Ordnode.rotateL
-- Porting note (#11467): during the port we marked these lemmas with `@[eqns]`
-- to emulate the old Lean 3 behaviour.
theorem rotateL_node (l : Ordnode α) (x : α) (sz : ℕ) (m : Ordnode α) (y : α) (r : Ordnode α) :
rotateL l x (node sz m y r) =
if size m < ratio * size r then node3L l x m y r else node4L l x m y r :=
rfl
theorem rotateL_nil (l : Ordnode α) (x : α) : rotateL l x nil = node' l x nil :=
rfl
-- should not happen
def rotateR : Ordnode α → α → Ordnode α → Ordnode α
| node _ l x m, y, r => if size m < ratio * size l then node3R l x m y r else node4R l x m y r
| nil, y, r => node' nil y r
#align ordnode.rotate_r Ordnode.rotateR
-- Porting note (#11467): during the port we marked these lemmas with `@[eqns]`
-- to emulate the old Lean 3 behaviour.
theorem rotateR_node (sz : ℕ) (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
rotateR (node sz l x m) y r =
if size m < ratio * size l then node3R l x m y r else node4R l x m y r :=
rfl
theorem rotateR_nil (y : α) (r : Ordnode α) : rotateR nil y r = node' nil y r :=
rfl
-- should not happen
def balanceL' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else if size l > delta * size r then rotateR l x r else node' l x r
#align ordnode.balance_l' Ordnode.balanceL'
def balanceR' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else if size r > delta * size l then rotateL l x r else node' l x r
#align ordnode.balance_r' Ordnode.balanceR'
def balance' (l : Ordnode α) (x : α) (r : Ordnode α) : Ordnode α :=
if size l + size r ≤ 1 then node' l x r
else
if size r > delta * size l then rotateL l x r
else if size l > delta * size r then rotateR l x r else node' l x r
#align ordnode.balance' Ordnode.balance'
theorem dual_node' (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (node' l x r) = node' (dual r) x (dual l) := by simp [node', add_comm]
#align ordnode.dual_node' Ordnode.dual_node'
theorem dual_node3L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node3L l x m y r) = node3R (dual r) y (dual m) x (dual l) := by
simp [node3L, node3R, dual_node', add_comm]
#align ordnode.dual_node3_l Ordnode.dual_node3L
theorem dual_node3R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node3R l x m y r) = node3L (dual r) y (dual m) x (dual l) := by
simp [node3L, node3R, dual_node', add_comm]
#align ordnode.dual_node3_r Ordnode.dual_node3R
theorem dual_node4L (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node4L l x m y r) = node4R (dual r) y (dual m) x (dual l) := by
cases m <;> simp [node4L, node4R, node3R, dual_node3L, dual_node', add_comm]
#align ordnode.dual_node4_l Ordnode.dual_node4L
theorem dual_node4R (l : Ordnode α) (x : α) (m : Ordnode α) (y : α) (r : Ordnode α) :
dual (node4R l x m y r) = node4L (dual r) y (dual m) x (dual l) := by
cases m <;> simp [node4L, node4R, node3L, dual_node3R, dual_node', add_comm]
#align ordnode.dual_node4_r Ordnode.dual_node4R
theorem dual_rotateL (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (rotateL l x r) = rotateR (dual r) x (dual l) := by
cases r <;> simp [rotateL, rotateR, dual_node']; split_ifs <;>
simp [dual_node3L, dual_node4L, node3R, add_comm]
#align ordnode.dual_rotate_l Ordnode.dual_rotateL
theorem dual_rotateR (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (rotateR l x r) = rotateL (dual r) x (dual l) := by
rw [← dual_dual (rotateL _ _ _), dual_rotateL, dual_dual, dual_dual]
#align ordnode.dual_rotate_r Ordnode.dual_rotateR
theorem dual_balance' (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (balance' l x r) = balance' (dual r) x (dual l) := by
simp [balance', add_comm]; split_ifs with h h_1 h_2 <;>
simp [dual_node', dual_rotateL, dual_rotateR, add_comm]
cases delta_lt_false h_1 h_2
#align ordnode.dual_balance' Ordnode.dual_balance'
theorem dual_balanceL (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (balanceL l x r) = balanceR (dual r) x (dual l) := by
unfold balanceL balanceR
cases' r with rs rl rx rr
· cases' l with ls ll lx lr; · rfl
cases' ll with lls lll llx llr <;> cases' lr with lrs lrl lrx lrr <;> dsimp only [dual, id] <;>
try rfl
split_ifs with h <;> repeat simp [h, add_comm]
· cases' l with ls ll lx lr; · rfl
dsimp only [dual, id]
split_ifs; swap; · simp [add_comm]
cases' ll with lls lll llx llr <;> cases' lr with lrs lrl lrx lrr <;> try rfl
dsimp only [dual, id]
split_ifs with h <;> simp [h, add_comm]
#align ordnode.dual_balance_l Ordnode.dual_balanceL
theorem dual_balanceR (l : Ordnode α) (x : α) (r : Ordnode α) :
dual (balanceR l x r) = balanceL (dual r) x (dual l) := by
rw [← dual_dual (balanceL _ _ _), dual_balanceL, dual_dual, dual_dual]
#align ordnode.dual_balance_r Ordnode.dual_balanceR
theorem Sized.node3L {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) :
Sized (node3L l x m y r) :=
(hl.node' hm).node' hr
#align ordnode.sized.node3_l Ordnode.Sized.node3L
theorem Sized.node3R {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) :
Sized (node3R l x m y r) :=
hl.node' (hm.node' hr)
#align ordnode.sized.node3_r Ordnode.Sized.node3R
theorem Sized.node4L {l x m y r} (hl : @Sized α l) (hm : Sized m) (hr : Sized r) :
Sized (node4L l x m y r) := by
cases m <;> [exact (hl.node' hm).node' hr; exact (hl.node' hm.2.1).node' (hm.2.2.node' hr)]
#align ordnode.sized.node4_l Ordnode.Sized.node4L
theorem node3L_size {l x m y r} : size (@node3L α l x m y r) = size l + size m + size r + 2 := by
dsimp [node3L, node', size]; rw [add_right_comm _ 1]
#align ordnode.node3_l_size Ordnode.node3L_size
theorem node3R_size {l x m y r} : size (@node3R α l x m y r) = size l + size m + size r + 2 := by
dsimp [node3R, node', size]; rw [← add_assoc, ← add_assoc]
#align ordnode.node3_r_size Ordnode.node3R_size
theorem node4L_size {l x m y r} (hm : Sized m) :
size (@node4L α l x m y r) = size l + size m + size r + 2 := by
cases m <;> simp [node4L, node3L, node'] <;> [abel; (simp [size, hm.1]; abel)]
#align ordnode.node4_l_size Ordnode.node4L_size
theorem Sized.dual : ∀ {t : Ordnode α}, Sized t → Sized (dual t)
| nil, _ => ⟨⟩
| node _ l _ r, ⟨rfl, sl, sr⟩ => ⟨by simp [size_dual, add_comm], Sized.dual sr, Sized.dual sl⟩
#align ordnode.sized.dual Ordnode.Sized.dual
theorem Sized.dual_iff {t : Ordnode α} : Sized (.dual t) ↔ Sized t :=
⟨fun h => by rw [← dual_dual t]; exact h.dual, Sized.dual⟩
#align ordnode.sized.dual_iff Ordnode.Sized.dual_iff
theorem Sized.rotateL {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (rotateL l x r) := by
cases r; · exact hl.node' hr
rw [Ordnode.rotateL_node]; split_ifs
· exact hl.node3L hr.2.1 hr.2.2
· exact hl.node4L hr.2.1 hr.2.2
#align ordnode.sized.rotate_l Ordnode.Sized.rotateL
theorem Sized.rotateR {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (rotateR l x r) :=
Sized.dual_iff.1 <| by rw [dual_rotateR]; exact hr.dual.rotateL hl.dual
#align ordnode.sized.rotate_r Ordnode.Sized.rotateR
theorem Sized.rotateL_size {l x r} (hm : Sized r) :
size (@Ordnode.rotateL α l x r) = size l + size r + 1 := by
cases r <;> simp [Ordnode.rotateL]
simp only [hm.1]
split_ifs <;> simp [node3L_size, node4L_size hm.2.1] <;> abel
#align ordnode.sized.rotate_l_size Ordnode.Sized.rotateL_size
theorem Sized.rotateR_size {l x r} (hl : Sized l) :
size (@Ordnode.rotateR α l x r) = size l + size r + 1 := by
rw [← size_dual, dual_rotateR, hl.dual.rotateL_size, size_dual, size_dual, add_comm (size l)]
#align ordnode.sized.rotate_r_size Ordnode.Sized.rotateR_size
theorem Sized.balance' {l x r} (hl : @Sized α l) (hr : Sized r) : Sized (balance' l x r) := by
unfold balance'; split_ifs
· exact hl.node' hr
· exact hl.rotateL hr
· exact hl.rotateR hr
· exact hl.node' hr
#align ordnode.sized.balance' Ordnode.Sized.balance'
| Mathlib/Data/Ordmap/Ordset.lean | 443 | 449 | theorem size_balance' {l x r} (hl : @Sized α l) (hr : Sized r) :
size (@balance' α l x r) = size l + size r + 1 := by |
unfold balance'; split_ifs
· rfl
· exact hr.rotateL_size
· exact hl.rotateR_size
· rfl
|
import Mathlib.Algebra.Associated
import Mathlib.Algebra.Ring.Int
#align_import data.int.associated from "leanprover-community/mathlib"@"207cfac9fcd06138865b5d04f7091e46d9320432"
| Mathlib/Data/Int/Associated.lean | 21 | 30 | theorem Int.natAbs_eq_iff_associated {a b : ℤ} : a.natAbs = b.natAbs ↔ Associated a b := by |
refine Int.natAbs_eq_natAbs_iff.trans ?_
constructor
· rintro (rfl | rfl)
· rfl
· exact ⟨-1, by simp⟩
· rintro ⟨u, rfl⟩
obtain rfl | rfl := Int.units_eq_one_or u
· exact Or.inl (by simp)
· exact Or.inr (by simp)
|
import Mathlib.Data.Matrix.Invertible
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.PosDef
#align_import linear_algebra.matrix.schur_complement from "leanprover-community/mathlib"@"a176cb1219e300e85793d44583dede42377b51af"
variable {l m n α : Type*}
namespace Matrix
open scoped Matrix
section CommRing
variable [Fintype l] [Fintype m] [Fintype n]
variable [DecidableEq l] [DecidableEq m] [DecidableEq n]
variable [CommRing α]
theorem fromBlocks_eq_of_invertible₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix l m α)
(D : Matrix l n α) [Invertible A] :
fromBlocks A B C D =
fromBlocks 1 0 (C * ⅟ A) 1 * fromBlocks A 0 0 (D - C * ⅟ A * B) *
fromBlocks 1 (⅟ A * B) 0 1 := by
simp only [fromBlocks_multiply, Matrix.mul_zero, Matrix.zero_mul, add_zero, zero_add,
Matrix.one_mul, Matrix.mul_one, invOf_mul_self, Matrix.mul_invOf_self_assoc,
Matrix.mul_invOf_mul_self_cancel, Matrix.mul_assoc, add_sub_cancel]
#align matrix.from_blocks_eq_of_invertible₁₁ Matrix.fromBlocks_eq_of_invertible₁₁
theorem fromBlocks_eq_of_invertible₂₂ (A : Matrix l m α) (B : Matrix l n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible D] :
fromBlocks A B C D =
fromBlocks 1 (B * ⅟ D) 0 1 * fromBlocks (A - B * ⅟ D * C) 0 0 D *
fromBlocks 1 0 (⅟ D * C) 1 :=
(Matrix.reindex (Equiv.sumComm _ _) (Equiv.sumComm _ _)).injective <| by
simpa [reindex_apply, Equiv.sumComm_symm, ← submatrix_mul_equiv _ _ _ (Equiv.sumComm n m), ←
submatrix_mul_equiv _ _ _ (Equiv.sumComm n l), Equiv.sumComm_apply,
fromBlocks_submatrix_sum_swap_sum_swap] using fromBlocks_eq_of_invertible₁₁ D C B A
#align matrix.from_blocks_eq_of_invertible₂₂ Matrix.fromBlocks_eq_of_invertible₂₂
section Det
theorem det_fromBlocks₁₁ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible A] :
(Matrix.fromBlocks A B C D).det = det A * det (D - C * ⅟ A * B) := by
rw [fromBlocks_eq_of_invertible₁₁ (A := A), det_mul, det_mul, det_fromBlocks_zero₂₁,
det_fromBlocks_zero₂₁, det_fromBlocks_zero₁₂, det_one, det_one, one_mul, one_mul, mul_one]
#align matrix.det_from_blocks₁₁ Matrix.det_fromBlocks₁₁
@[simp]
theorem det_fromBlocks_one₁₁ (B : Matrix m n α) (C : Matrix n m α) (D : Matrix n n α) :
(Matrix.fromBlocks 1 B C D).det = det (D - C * B) := by
haveI : Invertible (1 : Matrix m m α) := invertibleOne
rw [det_fromBlocks₁₁, invOf_one, Matrix.mul_one, det_one, one_mul]
#align matrix.det_from_blocks_one₁₁ Matrix.det_fromBlocks_one₁₁
theorem det_fromBlocks₂₂ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α)
(D : Matrix n n α) [Invertible D] :
(Matrix.fromBlocks A B C D).det = det D * det (A - B * ⅟ D * C) := by
have : fromBlocks A B C D =
(fromBlocks D C B A).submatrix (Equiv.sumComm _ _) (Equiv.sumComm _ _) := by
ext (i j)
cases i <;> cases j <;> rfl
rw [this, det_submatrix_equiv_self, det_fromBlocks₁₁]
#align matrix.det_from_blocks₂₂ Matrix.det_fromBlocks₂₂
@[simp]
theorem det_fromBlocks_one₂₂ (A : Matrix m m α) (B : Matrix m n α) (C : Matrix n m α) :
(Matrix.fromBlocks A B C 1).det = det (A - B * C) := by
haveI : Invertible (1 : Matrix n n α) := invertibleOne
rw [det_fromBlocks₂₂, invOf_one, Matrix.mul_one, det_one, one_mul]
#align matrix.det_from_blocks_one₂₂ Matrix.det_fromBlocks_one₂₂
theorem det_one_add_mul_comm (A : Matrix m n α) (B : Matrix n m α) :
det (1 + A * B) = det (1 + B * A) :=
calc
det (1 + A * B) = det (fromBlocks 1 (-A) B 1) := by
rw [det_fromBlocks_one₂₂, Matrix.neg_mul, sub_neg_eq_add]
_ = det (1 + B * A) := by rw [det_fromBlocks_one₁₁, Matrix.mul_neg, sub_neg_eq_add]
#align matrix.det_one_add_mul_comm Matrix.det_one_add_mul_comm
theorem det_mul_add_one_comm (A : Matrix m n α) (B : Matrix n m α) :
det (A * B + 1) = det (B * A + 1) := by rw [add_comm, det_one_add_mul_comm, add_comm]
#align matrix.det_mul_add_one_comm Matrix.det_mul_add_one_comm
| Mathlib/LinearAlgebra/Matrix/SchurComplement.lean | 438 | 440 | theorem det_one_sub_mul_comm (A : Matrix m n α) (B : Matrix n m α) :
det (1 - A * B) = det (1 - B * A) := by |
rw [sub_eq_add_neg, ← Matrix.neg_mul, det_one_add_mul_comm, Matrix.mul_neg, ← sub_eq_add_neg]
|
import Mathlib.Data.Set.Lattice
import Mathlib.Logic.Small.Basic
import Mathlib.Logic.Function.OfArity
import Mathlib.Order.WellFounded
#align_import set_theory.zfc.basic from "leanprover-community/mathlib"@"f0b3759a8ef0bd8239ecdaa5e1089add5feebe1a"
-- Porting note: Lean 3 uses `Set` for `ZFSet`.
set_option linter.uppercaseLean3 false
universe u v
open Function (OfArity)
inductive PSet : Type (u + 1)
| mk (α : Type u) (A : α → PSet) : PSet
#align pSet PSet
namespace PSet
def «Type» : PSet → Type u
| ⟨α, _⟩ => α
#align pSet.type PSet.Type
def Func : ∀ x : PSet, x.Type → PSet
| ⟨_, A⟩ => A
#align pSet.func PSet.Func
@[simp]
theorem mk_type (α A) : «Type» ⟨α, A⟩ = α :=
rfl
#align pSet.mk_type PSet.mk_type
@[simp]
theorem mk_func (α A) : Func ⟨α, A⟩ = A :=
rfl
#align pSet.mk_func PSet.mk_func
@[simp]
theorem eta : ∀ x : PSet, mk x.Type x.Func = x
| ⟨_, _⟩ => rfl
#align pSet.eta PSet.eta
def Equiv : PSet → PSet → Prop
| ⟨_, A⟩, ⟨_, B⟩ => (∀ a, ∃ b, Equiv (A a) (B b)) ∧ (∀ b, ∃ a, Equiv (A a) (B b))
#align pSet.equiv PSet.Equiv
theorem equiv_iff :
∀ {x y : PSet},
Equiv x y ↔ (∀ i, ∃ j, Equiv (x.Func i) (y.Func j)) ∧ ∀ j, ∃ i, Equiv (x.Func i) (y.Func j)
| ⟨_, _⟩, ⟨_, _⟩ => Iff.rfl
#align pSet.equiv_iff PSet.equiv_iff
theorem Equiv.exists_left {x y : PSet} (h : Equiv x y) : ∀ i, ∃ j, Equiv (x.Func i) (y.Func j) :=
(equiv_iff.1 h).1
#align pSet.equiv.exists_left PSet.Equiv.exists_left
theorem Equiv.exists_right {x y : PSet} (h : Equiv x y) : ∀ j, ∃ i, Equiv (x.Func i) (y.Func j) :=
(equiv_iff.1 h).2
#align pSet.equiv.exists_right PSet.Equiv.exists_right
@[refl]
protected theorem Equiv.refl : ∀ x, Equiv x x
| ⟨_, _⟩ => ⟨fun a => ⟨a, Equiv.refl _⟩, fun a => ⟨a, Equiv.refl _⟩⟩
#align pSet.equiv.refl PSet.Equiv.refl
protected theorem Equiv.rfl {x} : Equiv x x :=
Equiv.refl x
#align pSet.equiv.rfl PSet.Equiv.rfl
protected theorem Equiv.euc : ∀ {x y z}, Equiv x y → Equiv z y → Equiv x z
| ⟨_, _⟩, ⟨_, _⟩, ⟨_, _⟩, ⟨αβ, βα⟩, ⟨γβ, βγ⟩ =>
⟨ fun a =>
let ⟨b, ab⟩ := αβ a
let ⟨c, bc⟩ := βγ b
⟨c, Equiv.euc ab bc⟩,
fun c =>
let ⟨b, cb⟩ := γβ c
let ⟨a, ba⟩ := βα b
⟨a, Equiv.euc ba cb⟩ ⟩
#align pSet.equiv.euc PSet.Equiv.euc
@[symm]
protected theorem Equiv.symm {x y} : Equiv x y → Equiv y x :=
(Equiv.refl y).euc
#align pSet.equiv.symm PSet.Equiv.symm
protected theorem Equiv.comm {x y} : Equiv x y ↔ Equiv y x :=
⟨Equiv.symm, Equiv.symm⟩
#align pSet.equiv.comm PSet.Equiv.comm
@[trans]
protected theorem Equiv.trans {x y z} (h1 : Equiv x y) (h2 : Equiv y z) : Equiv x z :=
h1.euc h2.symm
#align pSet.equiv.trans PSet.Equiv.trans
protected theorem equiv_of_isEmpty (x y : PSet) [IsEmpty x.Type] [IsEmpty y.Type] : Equiv x y :=
equiv_iff.2 <| by simp
#align pSet.equiv_of_is_empty PSet.equiv_of_isEmpty
instance setoid : Setoid PSet :=
⟨PSet.Equiv, Equiv.refl, Equiv.symm, Equiv.trans⟩
#align pSet.setoid PSet.setoid
protected def Subset (x y : PSet) : Prop :=
∀ a, ∃ b, Equiv (x.Func a) (y.Func b)
#align pSet.subset PSet.Subset
instance : HasSubset PSet :=
⟨PSet.Subset⟩
instance : IsRefl PSet (· ⊆ ·) :=
⟨fun _ a => ⟨a, Equiv.refl _⟩⟩
instance : IsTrans PSet (· ⊆ ·) :=
⟨fun x y z hxy hyz a => by
cases' hxy a with b hb
cases' hyz b with c hc
exact ⟨c, hb.trans hc⟩⟩
theorem Equiv.ext : ∀ x y : PSet, Equiv x y ↔ x ⊆ y ∧ y ⊆ x
| ⟨_, _⟩, ⟨_, _⟩ =>
⟨fun ⟨αβ, βα⟩ =>
⟨αβ, fun b =>
let ⟨a, h⟩ := βα b
⟨a, Equiv.symm h⟩⟩,
fun ⟨αβ, βα⟩ =>
⟨αβ, fun b =>
let ⟨a, h⟩ := βα b
⟨a, Equiv.symm h⟩⟩⟩
#align pSet.equiv.ext PSet.Equiv.ext
theorem Subset.congr_left : ∀ {x y z : PSet}, Equiv x y → (x ⊆ z ↔ y ⊆ z)
| ⟨_, _⟩, ⟨_, _⟩, ⟨_, _⟩, ⟨αβ, βα⟩ =>
⟨fun αγ b =>
let ⟨a, ba⟩ := βα b
let ⟨c, ac⟩ := αγ a
⟨c, (Equiv.symm ba).trans ac⟩,
fun βγ a =>
let ⟨b, ab⟩ := αβ a
let ⟨c, bc⟩ := βγ b
⟨c, Equiv.trans ab bc⟩⟩
#align pSet.subset.congr_left PSet.Subset.congr_left
theorem Subset.congr_right : ∀ {x y z : PSet}, Equiv x y → (z ⊆ x ↔ z ⊆ y)
| ⟨_, _⟩, ⟨_, _⟩, ⟨_, _⟩, ⟨αβ, βα⟩ =>
⟨fun γα c =>
let ⟨a, ca⟩ := γα c
let ⟨b, ab⟩ := αβ a
⟨b, ca.trans ab⟩,
fun γβ c =>
let ⟨b, cb⟩ := γβ c
let ⟨a, ab⟩ := βα b
⟨a, cb.trans (Equiv.symm ab)⟩⟩
#align pSet.subset.congr_right PSet.Subset.congr_right
protected def Mem (x y : PSet.{u}) : Prop :=
∃ b, Equiv x (y.Func b)
#align pSet.mem PSet.Mem
instance : Membership PSet PSet :=
⟨PSet.Mem⟩
theorem Mem.mk {α : Type u} (A : α → PSet) (a : α) : A a ∈ mk α A :=
⟨a, Equiv.refl (A a)⟩
#align pSet.mem.mk PSet.Mem.mk
theorem func_mem (x : PSet) (i : x.Type) : x.Func i ∈ x := by
cases x
apply Mem.mk
#align pSet.func_mem PSet.func_mem
theorem Mem.ext : ∀ {x y : PSet.{u}}, (∀ w : PSet.{u}, w ∈ x ↔ w ∈ y) → Equiv x y
| ⟨_, A⟩, ⟨_, B⟩, h =>
⟨fun a => (h (A a)).1 (Mem.mk A a), fun b =>
let ⟨a, ha⟩ := (h (B b)).2 (Mem.mk B b)
⟨a, ha.symm⟩⟩
#align pSet.mem.ext PSet.Mem.ext
theorem Mem.congr_right : ∀ {x y : PSet.{u}}, Equiv x y → ∀ {w : PSet.{u}}, w ∈ x ↔ w ∈ y
| ⟨_, _⟩, ⟨_, _⟩, ⟨αβ, βα⟩, _ =>
⟨fun ⟨a, ha⟩ =>
let ⟨b, hb⟩ := αβ a
⟨b, ha.trans hb⟩,
fun ⟨b, hb⟩ =>
let ⟨a, ha⟩ := βα b
⟨a, hb.euc ha⟩⟩
#align pSet.mem.congr_right PSet.Mem.congr_right
theorem equiv_iff_mem {x y : PSet.{u}} : Equiv x y ↔ ∀ {w : PSet.{u}}, w ∈ x ↔ w ∈ y :=
⟨Mem.congr_right,
match x, y with
| ⟨_, A⟩, ⟨_, B⟩ => fun h =>
⟨fun a => h.1 (Mem.mk A a), fun b =>
let ⟨a, h⟩ := h.2 (Mem.mk B b)
⟨a, h.symm⟩⟩⟩
#align pSet.equiv_iff_mem PSet.equiv_iff_mem
theorem Mem.congr_left : ∀ {x y : PSet.{u}}, Equiv x y → ∀ {w : PSet.{u}}, x ∈ w ↔ y ∈ w
| _, _, h, ⟨_, _⟩ => ⟨fun ⟨a, ha⟩ => ⟨a, h.symm.trans ha⟩, fun ⟨a, ha⟩ => ⟨a, h.trans ha⟩⟩
#align pSet.mem.congr_left PSet.Mem.congr_left
private theorem mem_wf_aux : ∀ {x y : PSet.{u}}, Equiv x y → Acc (· ∈ ·) y
| ⟨α, A⟩, ⟨β, B⟩, H =>
⟨_, by
rintro ⟨γ, C⟩ ⟨b, hc⟩
cases' H.exists_right b with a ha
have H := ha.trans hc.symm
rw [mk_func] at H
exact mem_wf_aux H⟩
theorem mem_wf : @WellFounded PSet (· ∈ ·) :=
⟨fun x => mem_wf_aux <| Equiv.refl x⟩
#align pSet.mem_wf PSet.mem_wf
instance : WellFoundedRelation PSet :=
⟨_, mem_wf⟩
instance : IsAsymm PSet (· ∈ ·) :=
mem_wf.isAsymm
instance : IsIrrefl PSet (· ∈ ·) :=
mem_wf.isIrrefl
theorem mem_asymm {x y : PSet} : x ∈ y → y ∉ x :=
asymm
#align pSet.mem_asymm PSet.mem_asymm
theorem mem_irrefl (x : PSet) : x ∉ x :=
irrefl x
#align pSet.mem_irrefl PSet.mem_irrefl
def toSet (u : PSet.{u}) : Set PSet.{u} :=
{ x | x ∈ u }
#align pSet.to_set PSet.toSet
@[simp]
theorem mem_toSet (a u : PSet.{u}) : a ∈ u.toSet ↔ a ∈ u :=
Iff.rfl
#align pSet.mem_to_set PSet.mem_toSet
protected def Nonempty (u : PSet) : Prop :=
u.toSet.Nonempty
#align pSet.nonempty PSet.Nonempty
theorem nonempty_def (u : PSet) : u.Nonempty ↔ ∃ x, x ∈ u :=
Iff.rfl
#align pSet.nonempty_def PSet.nonempty_def
theorem nonempty_of_mem {x u : PSet} (h : x ∈ u) : u.Nonempty :=
⟨x, h⟩
#align pSet.nonempty_of_mem PSet.nonempty_of_mem
@[simp]
theorem nonempty_toSet_iff {u : PSet} : u.toSet.Nonempty ↔ u.Nonempty :=
Iff.rfl
#align pSet.nonempty_to_set_iff PSet.nonempty_toSet_iff
theorem nonempty_type_iff_nonempty {x : PSet} : Nonempty x.Type ↔ PSet.Nonempty x :=
⟨fun ⟨i⟩ => ⟨_, func_mem _ i⟩, fun ⟨_, j, _⟩ => ⟨j⟩⟩
#align pSet.nonempty_type_iff_nonempty PSet.nonempty_type_iff_nonempty
theorem nonempty_of_nonempty_type (x : PSet) [h : Nonempty x.Type] : PSet.Nonempty x :=
nonempty_type_iff_nonempty.1 h
#align pSet.nonempty_of_nonempty_type PSet.nonempty_of_nonempty_type
theorem Equiv.eq {x y : PSet} : Equiv x y ↔ toSet x = toSet y :=
equiv_iff_mem.trans Set.ext_iff.symm
#align pSet.equiv.eq PSet.Equiv.eq
instance : Coe PSet (Set PSet) :=
⟨toSet⟩
protected def empty : PSet :=
⟨_, PEmpty.elim⟩
#align pSet.empty PSet.empty
instance : EmptyCollection PSet :=
⟨PSet.empty⟩
instance : Inhabited PSet :=
⟨∅⟩
instance : IsEmpty («Type» ∅) :=
⟨PEmpty.elim⟩
@[simp]
theorem not_mem_empty (x : PSet.{u}) : x ∉ (∅ : PSet.{u}) :=
IsEmpty.exists_iff.1
#align pSet.not_mem_empty PSet.not_mem_empty
@[simp]
theorem toSet_empty : toSet ∅ = ∅ := by simp [toSet]
#align pSet.to_set_empty PSet.toSet_empty
@[simp]
theorem empty_subset (x : PSet.{u}) : (∅ : PSet) ⊆ x := fun x => x.elim
#align pSet.empty_subset PSet.empty_subset
@[simp]
theorem not_nonempty_empty : ¬PSet.Nonempty ∅ := by simp [PSet.Nonempty]
#align pSet.not_nonempty_empty PSet.not_nonempty_empty
protected theorem equiv_empty (x : PSet) [IsEmpty x.Type] : Equiv x ∅ :=
PSet.equiv_of_isEmpty x _
#align pSet.equiv_empty PSet.equiv_empty
protected def insert (x y : PSet) : PSet :=
⟨Option y.Type, fun o => Option.casesOn o x y.Func⟩
#align pSet.insert PSet.insert
instance : Insert PSet PSet :=
⟨PSet.insert⟩
instance : Singleton PSet PSet :=
⟨fun s => insert s ∅⟩
instance : LawfulSingleton PSet PSet :=
⟨fun _ => rfl⟩
instance (x y : PSet) : Inhabited (insert x y).Type :=
inferInstanceAs (Inhabited <| Option y.Type)
def ofNat : ℕ → PSet
| 0 => ∅
| n + 1 => insert (ofNat n) (ofNat n)
#align pSet.of_nat PSet.ofNat
def omega : PSet :=
⟨ULift ℕ, fun n => ofNat n.down⟩
#align pSet.omega PSet.omega
protected def sep (p : PSet → Prop) (x : PSet) : PSet :=
⟨{ a // p (x.Func a) }, fun y => x.Func y.1⟩
#align pSet.sep PSet.sep
instance : Sep PSet PSet :=
⟨PSet.sep⟩
def powerset (x : PSet) : PSet :=
⟨Set x.Type, fun p => ⟨{ a // p a }, fun y => x.Func y.1⟩⟩
#align pSet.powerset PSet.powerset
@[simp]
theorem mem_powerset : ∀ {x y : PSet}, y ∈ powerset x ↔ y ⊆ x
| ⟨_, A⟩, ⟨_, B⟩ =>
⟨fun ⟨_, e⟩ => (Subset.congr_left e).2 fun ⟨a, _⟩ => ⟨a, Equiv.refl (A a)⟩, fun βα =>
⟨{ a | ∃ b, Equiv (B b) (A a) }, fun b =>
let ⟨a, ba⟩ := βα b
⟨⟨a, b, ba⟩, ba⟩,
fun ⟨_, b, ba⟩ => ⟨b, ba⟩⟩⟩
#align pSet.mem_powerset PSet.mem_powerset
def sUnion (a : PSet) : PSet :=
⟨Σx, (a.Func x).Type, fun ⟨x, y⟩ => (a.Func x).Func y⟩
#align pSet.sUnion PSet.sUnion
@[inherit_doc]
prefix:110 "⋃₀ " => sUnion
@[simp]
theorem mem_sUnion : ∀ {x y : PSet.{u}}, y ∈ ⋃₀ x ↔ ∃ z ∈ x, y ∈ z
| ⟨α, A⟩, y =>
⟨fun ⟨⟨a, c⟩, (e : Equiv y ((A a).Func c))⟩ =>
have : Func (A a) c ∈ mk (A a).Type (A a).Func := Mem.mk (A a).Func c
⟨_, Mem.mk _ _, (Mem.congr_left e).2 (by rwa [eta] at this)⟩,
fun ⟨⟨β, B⟩, ⟨a, (e : Equiv (mk β B) (A a))⟩, ⟨b, yb⟩⟩ => by
rw [← eta (A a)] at e
exact
let ⟨βt, _⟩ := e
let ⟨c, bc⟩ := βt b
⟨⟨a, c⟩, yb.trans bc⟩⟩
#align pSet.mem_sUnion PSet.mem_sUnion
@[simp]
| Mathlib/SetTheory/ZFC/Basic.lean | 451 | 453 | theorem toSet_sUnion (x : PSet.{u}) : (⋃₀ x).toSet = ⋃₀ (toSet '' x.toSet) := by |
ext
simp
|
import Mathlib.Algebra.Module.Torsion
import Mathlib.SetTheory.Cardinal.Cofinality
import Mathlib.LinearAlgebra.FreeModule.Finite.Basic
import Mathlib.LinearAlgebra.Dimension.StrongRankCondition
#align_import linear_algebra.dimension from "leanprover-community/mathlib"@"47a5f8186becdbc826190ced4312f8199f9db6a5"
noncomputable section
universe u v v' w
variable {R : Type u} {M M₁ : Type v} {M' : Type v'} {ι : Type w}
variable [Ring R] [AddCommGroup M] [AddCommGroup M'] [AddCommGroup M₁]
variable [Module R M] [Module R M'] [Module R M₁]
attribute [local instance] nontrivial_of_invariantBasisNumber
open Cardinal Basis Submodule Function Set FiniteDimensional
theorem rank_le {n : ℕ}
(H : ∀ s : Finset M, (LinearIndependent R fun i : s => (i : M)) → s.card ≤ n) :
Module.rank R M ≤ n := by
rw [Module.rank_def]
apply ciSup_le'
rintro ⟨s, li⟩
exact linearIndependent_bounded_of_finset_linearIndependent_bounded H _ li
#align rank_le rank_le
section Finite
| Mathlib/LinearAlgebra/Dimension/Finite.lean | 125 | 131 | theorem Module.finite_of_rank_eq_nat [Module.Free R M] {n : ℕ} (h : Module.rank R M = n) :
Module.Finite R M := by |
nontriviality R
obtain ⟨⟨ι, b⟩⟩ := Module.Free.exists_basis (R := R) (M := M)
have := mk_lt_aleph0_iff.mp <|
b.linearIndependent.cardinal_le_rank |>.trans_eq h |>.trans_lt <| nat_lt_aleph0 n
exact Module.Finite.of_basis b
|
import Mathlib.Algebra.MvPolynomial.Degrees
#align_import data.mv_polynomial.variables from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
open Set Function Finsupp AddMonoidAlgebra
universe u v w
variable {R : Type u} {S : Type v}
namespace MvPolynomial
variable {σ τ : Type*} {r : R} {e : ℕ} {n m : σ} {s : σ →₀ ℕ}
section CommSemiring
variable [CommSemiring R] {p q : MvPolynomial σ R}
section Vars
def vars (p : MvPolynomial σ R) : Finset σ :=
letI := Classical.decEq σ
p.degrees.toFinset
#align mv_polynomial.vars MvPolynomial.vars
theorem vars_def [DecidableEq σ] (p : MvPolynomial σ R) : p.vars = p.degrees.toFinset := by
rw [vars]
convert rfl
#align mv_polynomial.vars_def MvPolynomial.vars_def
@[simp]
theorem vars_0 : (0 : MvPolynomial σ R).vars = ∅ := by
classical rw [vars_def, degrees_zero, Multiset.toFinset_zero]
#align mv_polynomial.vars_0 MvPolynomial.vars_0
@[simp]
theorem vars_monomial (h : r ≠ 0) : (monomial s r).vars = s.support := by
classical rw [vars_def, degrees_monomial_eq _ _ h, Finsupp.toFinset_toMultiset]
#align mv_polynomial.vars_monomial MvPolynomial.vars_monomial
@[simp]
theorem vars_C : (C r : MvPolynomial σ R).vars = ∅ := by
classical rw [vars_def, degrees_C, Multiset.toFinset_zero]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.vars_C MvPolynomial.vars_C
@[simp]
theorem vars_X [Nontrivial R] : (X n : MvPolynomial σ R).vars = {n} := by
rw [X, vars_monomial (one_ne_zero' R), Finsupp.support_single_ne_zero _ (one_ne_zero' ℕ)]
set_option linter.uppercaseLean3 false in
#align mv_polynomial.vars_X MvPolynomial.vars_X
theorem mem_vars (i : σ) : i ∈ p.vars ↔ ∃ d ∈ p.support, i ∈ d.support := by
classical simp only [vars_def, Multiset.mem_toFinset, mem_degrees, mem_support_iff, exists_prop]
#align mv_polynomial.mem_vars MvPolynomial.mem_vars
theorem mem_support_not_mem_vars_zero {f : MvPolynomial σ R} {x : σ →₀ ℕ} (H : x ∈ f.support)
{v : σ} (h : v ∉ vars f) : x v = 0 := by
contrapose! h
exact (mem_vars v).mpr ⟨x, H, Finsupp.mem_support_iff.mpr h⟩
#align mv_polynomial.mem_support_not_mem_vars_zero MvPolynomial.mem_support_not_mem_vars_zero
theorem vars_add_subset [DecidableEq σ] (p q : MvPolynomial σ R) :
(p + q).vars ⊆ p.vars ∪ q.vars := by
intro x hx
simp only [vars_def, Finset.mem_union, Multiset.mem_toFinset] at hx ⊢
simpa using Multiset.mem_of_le (degrees_add _ _) hx
#align mv_polynomial.vars_add_subset MvPolynomial.vars_add_subset
theorem vars_add_of_disjoint [DecidableEq σ] (h : Disjoint p.vars q.vars) :
(p + q).vars = p.vars ∪ q.vars := by
refine (vars_add_subset p q).antisymm fun x hx => ?_
simp only [vars_def, Multiset.disjoint_toFinset] at h hx ⊢
rwa [degrees_add_of_disjoint h, Multiset.toFinset_union]
#align mv_polynomial.vars_add_of_disjoint MvPolynomial.vars_add_of_disjoint
section Mul
theorem vars_mul [DecidableEq σ] (φ ψ : MvPolynomial σ R) : (φ * ψ).vars ⊆ φ.vars ∪ ψ.vars := by
simp_rw [vars_def, ← Multiset.toFinset_add, Multiset.toFinset_subset]
exact Multiset.subset_of_le (degrees_mul φ ψ)
#align mv_polynomial.vars_mul MvPolynomial.vars_mul
@[simp]
theorem vars_one : (1 : MvPolynomial σ R).vars = ∅ :=
vars_C
#align mv_polynomial.vars_one MvPolynomial.vars_one
theorem vars_pow (φ : MvPolynomial σ R) (n : ℕ) : (φ ^ n).vars ⊆ φ.vars := by
classical
induction' n with n ih
· simp
· rw [pow_succ']
apply Finset.Subset.trans (vars_mul _ _)
exact Finset.union_subset (Finset.Subset.refl _) ih
#align mv_polynomial.vars_pow MvPolynomial.vars_pow
theorem vars_prod {ι : Type*} [DecidableEq σ] {s : Finset ι} (f : ι → MvPolynomial σ R) :
(∏ i ∈ s, f i).vars ⊆ s.biUnion fun i => (f i).vars := by
classical
induction s using Finset.induction_on with
| empty => simp
| insert hs hsub =>
simp only [hs, Finset.biUnion_insert, Finset.prod_insert, not_false_iff]
apply Finset.Subset.trans (vars_mul _ _)
exact Finset.union_subset_union (Finset.Subset.refl _) hsub
#align mv_polynomial.vars_prod MvPolynomial.vars_prod
section Sum
variable {ι : Type*} (t : Finset ι) (φ : ι → MvPolynomial σ R)
| Mathlib/Algebra/MvPolynomial/Variables.lean | 180 | 189 | theorem vars_sum_subset [DecidableEq σ] :
(∑ i ∈ t, φ i).vars ⊆ Finset.biUnion t fun i => (φ i).vars := by |
classical
induction t using Finset.induction_on with
| empty => simp
| insert has hsum =>
rw [Finset.biUnion_insert, Finset.sum_insert has]
refine Finset.Subset.trans
(vars_add_subset _ _) (Finset.union_subset_union (Finset.Subset.refl _) ?_)
assumption
|
import Mathlib.Algebra.GroupPower.IterateHom
import Mathlib.Algebra.Polynomial.Eval
import Mathlib.GroupTheory.GroupAction.Ring
#align_import data.polynomial.derivative from "leanprover-community/mathlib"@"bbeb185db4ccee8ed07dc48449414ebfa39cb821"
noncomputable section
open Finset
open Polynomial
namespace Polynomial
universe u v w y z
variable {R : Type u} {S : Type v} {T : Type w} {ι : Type y} {A : Type z} {a b : R} {n : ℕ}
section Derivative
section Semiring
variable [Semiring R]
def derivative : R[X] →ₗ[R] R[X] where
toFun p := p.sum fun n a => C (a * n) * X ^ (n - 1)
map_add' p q := by
dsimp only
rw [sum_add_index] <;>
simp only [add_mul, forall_const, RingHom.map_add, eq_self_iff_true, zero_mul,
RingHom.map_zero]
map_smul' a p := by
dsimp; rw [sum_smul_index] <;>
simp only [mul_sum, ← C_mul', mul_assoc, coeff_C_mul, RingHom.map_mul, forall_const, zero_mul,
RingHom.map_zero, sum]
#align polynomial.derivative Polynomial.derivative
theorem derivative_apply (p : R[X]) : derivative p = p.sum fun n a => C (a * n) * X ^ (n - 1) :=
rfl
#align polynomial.derivative_apply Polynomial.derivative_apply
theorem coeff_derivative (p : R[X]) (n : ℕ) :
coeff (derivative p) n = coeff p (n + 1) * (n + 1) := by
rw [derivative_apply]
simp only [coeff_X_pow, coeff_sum, coeff_C_mul]
rw [sum, Finset.sum_eq_single (n + 1)]
· simp only [Nat.add_succ_sub_one, add_zero, mul_one, if_true, eq_self_iff_true]; norm_cast
· intro b
cases b
· intros
rw [Nat.cast_zero, mul_zero, zero_mul]
· intro _ H
rw [Nat.add_one_sub_one, if_neg (mt (congr_arg Nat.succ) H.symm), mul_zero]
· rw [if_pos (add_tsub_cancel_right n 1).symm, mul_one, Nat.cast_add, Nat.cast_one,
mem_support_iff]
intro h
push_neg at h
simp [h]
#align polynomial.coeff_derivative Polynomial.coeff_derivative
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_zero : derivative (0 : R[X]) = 0 :=
derivative.map_zero
#align polynomial.derivative_zero Polynomial.derivative_zero
theorem iterate_derivative_zero {k : ℕ} : derivative^[k] (0 : R[X]) = 0 :=
iterate_map_zero derivative k
#align polynomial.iterate_derivative_zero Polynomial.iterate_derivative_zero
@[simp]
theorem derivative_monomial (a : R) (n : ℕ) :
derivative (monomial n a) = monomial (n - 1) (a * n) := by
rw [derivative_apply, sum_monomial_index, C_mul_X_pow_eq_monomial]
simp
#align polynomial.derivative_monomial Polynomial.derivative_monomial
theorem derivative_C_mul_X (a : R) : derivative (C a * X) = C a := by
simp [C_mul_X_eq_monomial, derivative_monomial, Nat.cast_one, mul_one]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_C_mul_X Polynomial.derivative_C_mul_X
theorem derivative_C_mul_X_pow (a : R) (n : ℕ) :
derivative (C a * X ^ n) = C (a * n) * X ^ (n - 1) := by
rw [C_mul_X_pow_eq_monomial, C_mul_X_pow_eq_monomial, derivative_monomial]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_C_mul_X_pow Polynomial.derivative_C_mul_X_pow
theorem derivative_C_mul_X_sq (a : R) : derivative (C a * X ^ 2) = C (a * 2) * X := by
rw [derivative_C_mul_X_pow, Nat.cast_two, pow_one]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_C_mul_X_sq Polynomial.derivative_C_mul_X_sq
@[simp]
theorem derivative_X_pow (n : ℕ) : derivative (X ^ n : R[X]) = C (n : R) * X ^ (n - 1) := by
convert derivative_C_mul_X_pow (1 : R) n <;> simp
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_X_pow Polynomial.derivative_X_pow
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_X_sq : derivative (X ^ 2 : R[X]) = C 2 * X := by
rw [derivative_X_pow, Nat.cast_two, pow_one]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_X_sq Polynomial.derivative_X_sq
@[simp]
theorem derivative_C {a : R} : derivative (C a) = 0 := by simp [derivative_apply]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_C Polynomial.derivative_C
theorem derivative_of_natDegree_zero {p : R[X]} (hp : p.natDegree = 0) : derivative p = 0 := by
rw [eq_C_of_natDegree_eq_zero hp, derivative_C]
#align polynomial.derivative_of_nat_degree_zero Polynomial.derivative_of_natDegree_zero
@[simp]
theorem derivative_X : derivative (X : R[X]) = 1 :=
(derivative_monomial _ _).trans <| by simp
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_X Polynomial.derivative_X
@[simp]
theorem derivative_one : derivative (1 : R[X]) = 0 :=
derivative_C
#align polynomial.derivative_one Polynomial.derivative_one
#noalign polynomial.derivative_bit0
#noalign polynomial.derivative_bit1
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_add {f g : R[X]} : derivative (f + g) = derivative f + derivative g :=
derivative.map_add f g
#align polynomial.derivative_add Polynomial.derivative_add
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_X_add_C (c : R) : derivative (X + C c) = 1 := by
rw [derivative_add, derivative_X, derivative_C, add_zero]
set_option linter.uppercaseLean3 false in
#align polynomial.derivative_X_add_C Polynomial.derivative_X_add_C
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_sum {s : Finset ι} {f : ι → R[X]} :
derivative (∑ b ∈ s, f b) = ∑ b ∈ s, derivative (f b) :=
map_sum ..
#align polynomial.derivative_sum Polynomial.derivative_sum
-- Porting note (#10618): removed `simp`: `simp` can prove it.
theorem derivative_smul {S : Type*} [Monoid S] [DistribMulAction S R] [IsScalarTower S R R] (s : S)
(p : R[X]) : derivative (s • p) = s • derivative p :=
derivative.map_smul_of_tower s p
#align polynomial.derivative_smul Polynomial.derivative_smul
@[simp]
theorem iterate_derivative_smul {S : Type*} [Monoid S] [DistribMulAction S R] [IsScalarTower S R R]
(s : S) (p : R[X]) (k : ℕ) : derivative^[k] (s • p) = s • derivative^[k] p := by
induction' k with k ih generalizing p
· simp
· simp [ih]
#align polynomial.iterate_derivative_smul Polynomial.iterate_derivative_smul
@[simp]
theorem iterate_derivative_C_mul (a : R) (p : R[X]) (k : ℕ) :
derivative^[k] (C a * p) = C a * derivative^[k] p := by
simp_rw [← smul_eq_C_mul, iterate_derivative_smul]
set_option linter.uppercaseLean3 false in
#align polynomial.iterate_derivative_C_mul Polynomial.iterate_derivative_C_mul
theorem of_mem_support_derivative {p : R[X]} {n : ℕ} (h : n ∈ p.derivative.support) :
n + 1 ∈ p.support :=
mem_support_iff.2 fun h1 : p.coeff (n + 1) = 0 =>
mem_support_iff.1 h <| show p.derivative.coeff n = 0 by rw [coeff_derivative, h1, zero_mul]
#align polynomial.of_mem_support_derivative Polynomial.of_mem_support_derivative
theorem degree_derivative_lt {p : R[X]} (hp : p ≠ 0) : p.derivative.degree < p.degree :=
(Finset.sup_lt_iff <| bot_lt_iff_ne_bot.2 <| mt degree_eq_bot.1 hp).2 fun n hp =>
lt_of_lt_of_le (WithBot.coe_lt_coe.2 n.lt_succ_self) <|
Finset.le_sup <| of_mem_support_derivative hp
#align polynomial.degree_derivative_lt Polynomial.degree_derivative_lt
theorem degree_derivative_le {p : R[X]} : p.derivative.degree ≤ p.degree :=
letI := Classical.decEq R
if H : p = 0 then le_of_eq <| by rw [H, derivative_zero] else (degree_derivative_lt H).le
#align polynomial.degree_derivative_le Polynomial.degree_derivative_le
theorem natDegree_derivative_lt {p : R[X]} (hp : p.natDegree ≠ 0) :
p.derivative.natDegree < p.natDegree := by
rcases eq_or_ne (derivative p) 0 with hp' | hp'
· rw [hp', Polynomial.natDegree_zero]
exact hp.bot_lt
· rw [natDegree_lt_natDegree_iff hp']
exact degree_derivative_lt fun h => hp (h.symm ▸ natDegree_zero)
#align polynomial.nat_degree_derivative_lt Polynomial.natDegree_derivative_lt
theorem natDegree_derivative_le (p : R[X]) : p.derivative.natDegree ≤ p.natDegree - 1 := by
by_cases p0 : p.natDegree = 0
· simp [p0, derivative_of_natDegree_zero]
· exact Nat.le_sub_one_of_lt (natDegree_derivative_lt p0)
#align polynomial.nat_degree_derivative_le Polynomial.natDegree_derivative_le
theorem natDegree_iterate_derivative (p : R[X]) (k : ℕ) :
(derivative^[k] p).natDegree ≤ p.natDegree - k := by
induction k with
| zero => rw [Function.iterate_zero_apply, Nat.sub_zero]
| succ d hd =>
rw [Function.iterate_succ_apply', Nat.sub_succ']
exact (natDegree_derivative_le _).trans <| Nat.sub_le_sub_right hd 1
@[simp]
theorem derivative_natCast {n : ℕ} : derivative (n : R[X]) = 0 := by
rw [← map_natCast C n]
exact derivative_C
#align polynomial.derivative_nat_cast Polynomial.derivative_natCast
@[deprecated (since := "2024-04-17")]
alias derivative_nat_cast := derivative_natCast
-- Porting note (#10756): new theorem
@[simp]
theorem derivative_ofNat (n : ℕ) [n.AtLeastTwo] :
derivative (no_index (OfNat.ofNat n) : R[X]) = 0 :=
derivative_natCast
| Mathlib/Algebra/Polynomial/Derivative.lean | 236 | 245 | theorem iterate_derivative_eq_zero {p : R[X]} {x : ℕ} (hx : p.natDegree < x) :
Polynomial.derivative^[x] p = 0 := by |
induction' h : p.natDegree using Nat.strong_induction_on with _ ih generalizing p x
subst h
obtain ⟨t, rfl⟩ := Nat.exists_eq_succ_of_ne_zero (pos_of_gt hx).ne'
rw [Function.iterate_succ_apply]
by_cases hp : p.natDegree = 0
· rw [derivative_of_natDegree_zero hp, iterate_derivative_zero]
have := natDegree_derivative_lt hp
exact ih _ this (this.trans_le <| Nat.le_of_lt_succ hx) rfl
|
import Mathlib.Algebra.Module.Card
import Mathlib.SetTheory.Cardinal.CountableCover
import Mathlib.SetTheory.Cardinal.Continuum
import Mathlib.Analysis.SpecificLimits.Normed
import Mathlib.Topology.MetricSpace.Perfect
universe u v
open Filter Pointwise Set Function Cardinal
open scoped Cardinal Topology
theorem continuum_le_cardinal_of_nontriviallyNormedField
(𝕜 : Type*) [NontriviallyNormedField 𝕜] [CompleteSpace 𝕜] : 𝔠 ≤ #𝕜 := by
suffices ∃ f : (ℕ → Bool) → 𝕜, range f ⊆ univ ∧ Continuous f ∧ Injective f by
rcases this with ⟨f, -, -, f_inj⟩
simpa using lift_mk_le_lift_mk_of_injective f_inj
apply Perfect.exists_nat_bool_injection _ univ_nonempty
refine ⟨isClosed_univ, preperfect_iff_nhds.2 (fun x _ U hU ↦ ?_)⟩
rcases NormedField.exists_norm_lt_one 𝕜 with ⟨c, c_pos, hc⟩
have A : Tendsto (fun n ↦ x + c^n) atTop (𝓝 (x + 0)) :=
tendsto_const_nhds.add (tendsto_pow_atTop_nhds_zero_of_norm_lt_one hc)
rw [add_zero] at A
have B : ∀ᶠ n in atTop, x + c^n ∈ U := tendsto_def.1 A U hU
rcases B.exists with ⟨n, hn⟩
refine ⟨x + c^n, by simpa using hn, ?_⟩
simp only [ne_eq, add_right_eq_self]
apply pow_ne_zero
simpa using c_pos
theorem continuum_le_cardinal_of_module
(𝕜 : Type u) (E : Type v) [NontriviallyNormedField 𝕜] [CompleteSpace 𝕜]
[AddCommGroup E] [Module 𝕜 E] [Nontrivial E] : 𝔠 ≤ #E := by
have A : lift.{v} (𝔠 : Cardinal.{u}) ≤ lift.{v} (#𝕜) := by
simpa using continuum_le_cardinal_of_nontriviallyNormedField 𝕜
simpa using A.trans (Cardinal.mk_le_of_module 𝕜 E)
lemma cardinal_eq_of_mem_nhds_zero
{E : Type*} (𝕜 : Type*) [NontriviallyNormedField 𝕜] [AddCommGroup E] [Module 𝕜 E]
[TopologicalSpace E] [ContinuousSMul 𝕜 E] {s : Set E} (hs : s ∈ 𝓝 (0 : E)) : #s = #E := by
obtain ⟨c, hc⟩ : ∃ x : 𝕜 , 1 < ‖x‖ := NormedField.exists_lt_norm 𝕜 1
have cn_ne : ∀ n, c^n ≠ 0 := by
intro n
apply pow_ne_zero
rintro rfl
simp only [norm_zero] at hc
exact lt_irrefl _ (hc.trans zero_lt_one)
have A : ∀ (x : E), ∀ᶠ n in (atTop : Filter ℕ), x ∈ c^n • s := by
intro x
have : Tendsto (fun n ↦ (c^n) ⁻¹ • x) atTop (𝓝 ((0 : 𝕜) • x)) := by
have : Tendsto (fun n ↦ (c^n)⁻¹) atTop (𝓝 0) := by
simp_rw [← inv_pow]
apply tendsto_pow_atTop_nhds_zero_of_norm_lt_one
rw [norm_inv]
exact inv_lt_one hc
exact Tendsto.smul_const this x
rw [zero_smul] at this
filter_upwards [this hs] with n (hn : (c ^ n)⁻¹ • x ∈ s)
exact (mem_smul_set_iff_inv_smul_mem₀ (cn_ne n) _ _).2 hn
have B : ∀ n, #(c^n • s :) = #s := by
intro n
have : (c^n • s :) ≃ s :=
{ toFun := fun x ↦ ⟨(c^n)⁻¹ • x.1, (mem_smul_set_iff_inv_smul_mem₀ (cn_ne n) _ _).1 x.2⟩
invFun := fun x ↦ ⟨(c^n) • x.1, smul_mem_smul_set x.2⟩
left_inv := fun x ↦ by simp [smul_smul, mul_inv_cancel (cn_ne n)]
right_inv := fun x ↦ by simp [smul_smul, inv_mul_cancel (cn_ne n)] }
exact Cardinal.mk_congr this
apply (Cardinal.mk_of_countable_eventually_mem A B).symm
theorem cardinal_eq_of_mem_nhds
{E : Type*} (𝕜 : Type*) [NontriviallyNormedField 𝕜] [AddCommGroup E] [Module 𝕜 E]
[TopologicalSpace E] [ContinuousAdd E] [ContinuousSMul 𝕜 E]
{s : Set E} {x : E} (hs : s ∈ 𝓝 x) : #s = #E := by
let g := Homeomorph.addLeft x
let t := g ⁻¹' s
have : t ∈ 𝓝 0 := g.continuous.continuousAt.preimage_mem_nhds (by simpa [g] using hs)
have A : #t = #E := cardinal_eq_of_mem_nhds_zero 𝕜 this
have B : #t = #s := Cardinal.mk_subtype_of_equiv s g.toEquiv
rwa [B] at A
theorem cardinal_eq_of_isOpen
{E : Type*} (𝕜 : Type*) [NontriviallyNormedField 𝕜] [AddCommGroup E] [Module 𝕜 E]
[TopologicalSpace E] [ContinuousAdd E] [ContinuousSMul 𝕜 E] {s : Set E}
(hs : IsOpen s) (h's : s.Nonempty) : #s = #E := by
rcases h's with ⟨x, hx⟩
exact cardinal_eq_of_mem_nhds 𝕜 (hs.mem_nhds hx)
theorem continuum_le_cardinal_of_isOpen
{E : Type*} (𝕜 : Type*) [NontriviallyNormedField 𝕜] [CompleteSpace 𝕜] [AddCommGroup E]
[Module 𝕜 E] [Nontrivial E] [TopologicalSpace E] [ContinuousAdd E] [ContinuousSMul 𝕜 E]
{s : Set E} (hs : IsOpen s) (h's : s.Nonempty) : 𝔠 ≤ #s := by
simpa [cardinal_eq_of_isOpen 𝕜 hs h's] using continuum_le_cardinal_of_module 𝕜 E
| Mathlib/Topology/Algebra/Module/Cardinality.lean | 127 | 139 | theorem Set.Countable.dense_compl
{E : Type u} (𝕜 : Type*) [NontriviallyNormedField 𝕜] [CompleteSpace 𝕜] [AddCommGroup E]
[Module 𝕜 E] [Nontrivial E] [TopologicalSpace E] [ContinuousAdd E] [ContinuousSMul 𝕜 E]
{s : Set E} (hs : s.Countable) : Dense sᶜ := by |
rw [← interior_eq_empty_iff_dense_compl]
by_contra H
apply lt_irrefl (ℵ₀ : Cardinal.{u})
calc
(ℵ₀ : Cardinal.{u}) < 𝔠 := aleph0_lt_continuum
_ ≤ #(interior s) :=
continuum_le_cardinal_of_isOpen 𝕜 isOpen_interior (nmem_singleton_empty.1 H)
_ ≤ #s := mk_le_mk_of_subset interior_subset
_ ≤ ℵ₀ := le_aleph0 hs
|
import Mathlib.MeasureTheory.Decomposition.Lebesgue
import Mathlib.MeasureTheory.Measure.Complex
import Mathlib.MeasureTheory.Decomposition.Jordan
import Mathlib.MeasureTheory.Measure.WithDensityVectorMeasure
noncomputable section
open scoped Classical MeasureTheory NNReal ENNReal
open Set
variable {α β : Type*} {m : MeasurableSpace α} {μ ν : MeasureTheory.Measure α}
namespace MeasureTheory
namespace SignedMeasure
open Measure
class HaveLebesgueDecomposition (s : SignedMeasure α) (μ : Measure α) : Prop where
posPart : s.toJordanDecomposition.posPart.HaveLebesgueDecomposition μ
negPart : s.toJordanDecomposition.negPart.HaveLebesgueDecomposition μ
#align measure_theory.signed_measure.have_lebesgue_decomposition MeasureTheory.SignedMeasure.HaveLebesgueDecomposition
#align measure_theory.signed_measure.have_lebesgue_decomposition.pos_part MeasureTheory.SignedMeasure.HaveLebesgueDecomposition.posPart
#align measure_theory.signed_measure.have_lebesgue_decomposition.neg_part MeasureTheory.SignedMeasure.HaveLebesgueDecomposition.negPart
attribute [instance] HaveLebesgueDecomposition.posPart
attribute [instance] HaveLebesgueDecomposition.negPart
theorem not_haveLebesgueDecomposition_iff (s : SignedMeasure α) (μ : Measure α) :
¬s.HaveLebesgueDecomposition μ ↔
¬s.toJordanDecomposition.posPart.HaveLebesgueDecomposition μ ∨
¬s.toJordanDecomposition.negPart.HaveLebesgueDecomposition μ :=
⟨fun h => not_or_of_imp fun hp hn => h ⟨hp, hn⟩, fun h hl => (not_and_or.2 h) ⟨hl.1, hl.2⟩⟩
#align measure_theory.signed_measure.not_have_lebesgue_decomposition_iff MeasureTheory.SignedMeasure.not_haveLebesgueDecomposition_iff
-- `inferInstance` directly does not work
-- see Note [lower instance priority]
instance (priority := 100) haveLebesgueDecomposition_of_sigmaFinite (s : SignedMeasure α)
(μ : Measure α) [SigmaFinite μ] : s.HaveLebesgueDecomposition μ where
posPart := inferInstance
negPart := inferInstance
#align measure_theory.signed_measure.have_lebesgue_decomposition_of_sigma_finite MeasureTheory.SignedMeasure.haveLebesgueDecomposition_of_sigmaFinite
instance haveLebesgueDecomposition_neg (s : SignedMeasure α) (μ : Measure α)
[s.HaveLebesgueDecomposition μ] : (-s).HaveLebesgueDecomposition μ where
posPart := by
rw [toJordanDecomposition_neg, JordanDecomposition.neg_posPart]
infer_instance
negPart := by
rw [toJordanDecomposition_neg, JordanDecomposition.neg_negPart]
infer_instance
#align measure_theory.signed_measure.have_lebesgue_decomposition_neg MeasureTheory.SignedMeasure.haveLebesgueDecomposition_neg
instance haveLebesgueDecomposition_smul (s : SignedMeasure α) (μ : Measure α)
[s.HaveLebesgueDecomposition μ] (r : ℝ≥0) : (r • s).HaveLebesgueDecomposition μ where
posPart := by
rw [toJordanDecomposition_smul, JordanDecomposition.smul_posPart]
infer_instance
negPart := by
rw [toJordanDecomposition_smul, JordanDecomposition.smul_negPart]
infer_instance
#align measure_theory.signed_measure.have_lebesgue_decomposition_smul MeasureTheory.SignedMeasure.haveLebesgueDecomposition_smul
instance haveLebesgueDecomposition_smul_real (s : SignedMeasure α) (μ : Measure α)
[s.HaveLebesgueDecomposition μ] (r : ℝ) : (r • s).HaveLebesgueDecomposition μ := by
by_cases hr : 0 ≤ r
· lift r to ℝ≥0 using hr
exact s.haveLebesgueDecomposition_smul μ _
· rw [not_le] at hr
refine
{ posPart := by
rw [toJordanDecomposition_smul_real, JordanDecomposition.real_smul_posPart_neg _ _ hr]
infer_instance
negPart := by
rw [toJordanDecomposition_smul_real, JordanDecomposition.real_smul_negPart_neg _ _ hr]
infer_instance }
#align measure_theory.signed_measure.have_lebesgue_decomposition_smul_real MeasureTheory.SignedMeasure.haveLebesgueDecomposition_smul_real
def singularPart (s : SignedMeasure α) (μ : Measure α) : SignedMeasure α :=
(s.toJordanDecomposition.posPart.singularPart μ).toSignedMeasure -
(s.toJordanDecomposition.negPart.singularPart μ).toSignedMeasure
#align measure_theory.signed_measure.singular_part MeasureTheory.SignedMeasure.singularPart
section
theorem singularPart_mutuallySingular (s : SignedMeasure α) (μ : Measure α) :
s.toJordanDecomposition.posPart.singularPart μ ⟂ₘ
s.toJordanDecomposition.negPart.singularPart μ := by
by_cases hl : s.HaveLebesgueDecomposition μ
· obtain ⟨i, hi, hpos, hneg⟩ := s.toJordanDecomposition.mutuallySingular
rw [s.toJordanDecomposition.posPart.haveLebesgueDecomposition_add μ] at hpos
rw [s.toJordanDecomposition.negPart.haveLebesgueDecomposition_add μ] at hneg
rw [add_apply, add_eq_zero_iff] at hpos hneg
exact ⟨i, hi, hpos.1, hneg.1⟩
· rw [not_haveLebesgueDecomposition_iff] at hl
cases' hl with hp hn
· rw [Measure.singularPart, dif_neg hp]
exact MutuallySingular.zero_left
· rw [Measure.singularPart, Measure.singularPart, dif_neg hn]
exact MutuallySingular.zero_right
#align measure_theory.signed_measure.singular_part_mutually_singular MeasureTheory.SignedMeasure.singularPart_mutuallySingular
theorem singularPart_totalVariation (s : SignedMeasure α) (μ : Measure α) :
(s.singularPart μ).totalVariation =
s.toJordanDecomposition.posPart.singularPart μ +
s.toJordanDecomposition.negPart.singularPart μ := by
have :
(s.singularPart μ).toJordanDecomposition =
⟨s.toJordanDecomposition.posPart.singularPart μ,
s.toJordanDecomposition.negPart.singularPart μ, singularPart_mutuallySingular s μ⟩ := by
refine JordanDecomposition.toSignedMeasure_injective ?_
rw [toSignedMeasure_toJordanDecomposition, singularPart, JordanDecomposition.toSignedMeasure]
rw [totalVariation, this]
#align measure_theory.signed_measure.singular_part_total_variation MeasureTheory.SignedMeasure.singularPart_totalVariation
nonrec theorem mutuallySingular_singularPart (s : SignedMeasure α) (μ : Measure α) :
singularPart s μ ⟂ᵥ μ.toENNRealVectorMeasure := by
rw [mutuallySingular_ennreal_iff, singularPart_totalVariation,
VectorMeasure.ennrealToMeasure_toENNRealVectorMeasure]
exact (mutuallySingular_singularPart _ _).add_left (mutuallySingular_singularPart _ _)
#align measure_theory.signed_measure.mutually_singular_singular_part MeasureTheory.SignedMeasure.mutuallySingular_singularPart
end
def rnDeriv (s : SignedMeasure α) (μ : Measure α) : α → ℝ := fun x =>
(s.toJordanDecomposition.posPart.rnDeriv μ x).toReal -
(s.toJordanDecomposition.negPart.rnDeriv μ x).toReal
#align measure_theory.signed_measure.rn_deriv MeasureTheory.SignedMeasure.rnDeriv
-- The generated equation theorem is the form of `rnDeriv s μ x = ...`.
theorem rnDeriv_def (s : SignedMeasure α) (μ : Measure α) : rnDeriv s μ = fun x =>
(s.toJordanDecomposition.posPart.rnDeriv μ x).toReal -
(s.toJordanDecomposition.negPart.rnDeriv μ x).toReal :=
rfl
variable {s t : SignedMeasure α}
@[measurability]
theorem measurable_rnDeriv (s : SignedMeasure α) (μ : Measure α) : Measurable (rnDeriv s μ) := by
rw [rnDeriv_def]
measurability
#align measure_theory.signed_measure.measurable_rn_deriv MeasureTheory.SignedMeasure.measurable_rnDeriv
theorem integrable_rnDeriv (s : SignedMeasure α) (μ : Measure α) : Integrable (rnDeriv s μ) μ := by
refine Integrable.sub ?_ ?_ <;>
· constructor
· apply Measurable.aestronglyMeasurable; measurability
exact hasFiniteIntegral_toReal_of_lintegral_ne_top (lintegral_rnDeriv_lt_top _ μ).ne
#align measure_theory.signed_measure.integrable_rn_deriv MeasureTheory.SignedMeasure.integrable_rnDeriv
variable (s μ)
theorem singularPart_add_withDensity_rnDeriv_eq [s.HaveLebesgueDecomposition μ] :
s.singularPart μ + μ.withDensityᵥ (s.rnDeriv μ) = s := by
conv_rhs =>
rw [← toSignedMeasure_toJordanDecomposition s, JordanDecomposition.toSignedMeasure]
rw [singularPart, rnDeriv_def,
withDensityᵥ_sub' (integrable_toReal_of_lintegral_ne_top _ _)
(integrable_toReal_of_lintegral_ne_top _ _),
withDensityᵥ_toReal, withDensityᵥ_toReal, sub_eq_add_neg, sub_eq_add_neg,
add_comm (s.toJordanDecomposition.posPart.singularPart μ).toSignedMeasure, ← add_assoc,
add_assoc (-(s.toJordanDecomposition.negPart.singularPart μ).toSignedMeasure),
← toSignedMeasure_add, add_comm, ← add_assoc, ← neg_add, ← toSignedMeasure_add, add_comm,
← sub_eq_add_neg]
· convert rfl
-- `convert rfl` much faster than `congr`
· exact s.toJordanDecomposition.posPart.haveLebesgueDecomposition_add μ
· rw [add_comm]
exact s.toJordanDecomposition.negPart.haveLebesgueDecomposition_add μ
all_goals
first
| exact (lintegral_rnDeriv_lt_top _ _).ne
| measurability
#align measure_theory.signed_measure.singular_part_add_with_density_rn_deriv_eq MeasureTheory.SignedMeasure.singularPart_add_withDensity_rnDeriv_eq
variable {s μ}
theorem jordanDecomposition_add_withDensity_mutuallySingular {f : α → ℝ} (hf : Measurable f)
(htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) :
(t.toJordanDecomposition.posPart + μ.withDensity fun x : α => ENNReal.ofReal (f x)) ⟂ₘ
t.toJordanDecomposition.negPart + μ.withDensity fun x : α => ENNReal.ofReal (-f x) := by
rw [mutuallySingular_ennreal_iff, totalVariation_mutuallySingular_iff,
VectorMeasure.ennrealToMeasure_toENNRealVectorMeasure] at htμ
exact
((JordanDecomposition.mutuallySingular _).add_right
(htμ.1.mono_ac (refl _) (withDensity_absolutelyContinuous _ _))).add_left
((htμ.2.symm.mono_ac (withDensity_absolutelyContinuous _ _) (refl _)).add_right
(withDensity_ofReal_mutuallySingular hf))
#align measure_theory.signed_measure.jordan_decomposition_add_with_density_mutually_singular MeasureTheory.SignedMeasure.jordanDecomposition_add_withDensity_mutuallySingular
theorem toJordanDecomposition_eq_of_eq_add_withDensity {f : α → ℝ} (hf : Measurable f)
(hfi : Integrable f μ) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) :
s.toJordanDecomposition =
@JordanDecomposition.mk α _
(t.toJordanDecomposition.posPart + μ.withDensity fun x => ENNReal.ofReal (f x))
(t.toJordanDecomposition.negPart + μ.withDensity fun x => ENNReal.ofReal (-f x))
(by haveI := isFiniteMeasure_withDensity_ofReal hfi.2; infer_instance)
(by haveI := isFiniteMeasure_withDensity_ofReal hfi.neg.2; infer_instance)
(jordanDecomposition_add_withDensity_mutuallySingular hf htμ) := by
haveI := isFiniteMeasure_withDensity_ofReal hfi.2
haveI := isFiniteMeasure_withDensity_ofReal hfi.neg.2
refine toJordanDecomposition_eq ?_
simp_rw [JordanDecomposition.toSignedMeasure, hadd]
ext i hi
rw [VectorMeasure.sub_apply, toSignedMeasure_apply_measurable hi,
toSignedMeasure_apply_measurable hi, add_apply, add_apply, ENNReal.toReal_add,
ENNReal.toReal_add, add_sub_add_comm, ← toSignedMeasure_apply_measurable hi,
← toSignedMeasure_apply_measurable hi, ← VectorMeasure.sub_apply,
← JordanDecomposition.toSignedMeasure, toSignedMeasure_toJordanDecomposition,
VectorMeasure.add_apply, ← toSignedMeasure_apply_measurable hi,
← toSignedMeasure_apply_measurable hi,
withDensityᵥ_eq_withDensity_pos_part_sub_withDensity_neg_part hfi,
VectorMeasure.sub_apply] <;>
exact (measure_lt_top _ _).ne
#align measure_theory.signed_measure.to_jordan_decomposition_eq_of_eq_add_with_density MeasureTheory.SignedMeasure.toJordanDecomposition_eq_of_eq_add_withDensity
private theorem haveLebesgueDecomposition_mk' (μ : Measure α) {f : α → ℝ} (hf : Measurable f)
(hfi : Integrable f μ) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) :
s.HaveLebesgueDecomposition μ := by
have htμ' := htμ
rw [mutuallySingular_ennreal_iff] at htμ
change _ ⟂ₘ VectorMeasure.equivMeasure.toFun (VectorMeasure.equivMeasure.invFun μ) at htμ
rw [VectorMeasure.equivMeasure.right_inv, totalVariation_mutuallySingular_iff] at htμ
refine
{ posPart := by
use ⟨t.toJordanDecomposition.posPart, fun x => ENNReal.ofReal (f x)⟩
refine ⟨hf.ennreal_ofReal, htμ.1, ?_⟩
rw [toJordanDecomposition_eq_of_eq_add_withDensity hf hfi htμ' hadd]
negPart := by
use ⟨t.toJordanDecomposition.negPart, fun x => ENNReal.ofReal (-f x)⟩
refine ⟨hf.neg.ennreal_ofReal, htμ.2, ?_⟩
rw [toJordanDecomposition_eq_of_eq_add_withDensity hf hfi htμ' hadd] }
theorem haveLebesgueDecomposition_mk (μ : Measure α) {f : α → ℝ} (hf : Measurable f)
(htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) :
s.HaveLebesgueDecomposition μ := by
by_cases hfi : Integrable f μ
· exact haveLebesgueDecomposition_mk' μ hf hfi htμ hadd
· rw [withDensityᵥ, dif_neg hfi, add_zero] at hadd
refine haveLebesgueDecomposition_mk' μ measurable_zero (integrable_zero _ _ μ) htμ ?_
rwa [withDensityᵥ_zero, add_zero]
#align measure_theory.signed_measure.have_lebesgue_decomposition_mk MeasureTheory.SignedMeasure.haveLebesgueDecomposition_mk
private theorem eq_singularPart' (t : SignedMeasure α) {f : α → ℝ} (hf : Measurable f)
(hfi : Integrable f μ) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure) (hadd : s = t + μ.withDensityᵥ f) :
t = s.singularPart μ := by
have htμ' := htμ
rw [mutuallySingular_ennreal_iff, totalVariation_mutuallySingular_iff,
VectorMeasure.ennrealToMeasure_toENNRealVectorMeasure] at htμ
rw [singularPart, ← t.toSignedMeasure_toJordanDecomposition,
JordanDecomposition.toSignedMeasure]
congr
· have hfpos : Measurable fun x => ENNReal.ofReal (f x) := by measurability
refine eq_singularPart hfpos htμ.1 ?_
rw [toJordanDecomposition_eq_of_eq_add_withDensity hf hfi htμ' hadd]
· have hfneg : Measurable fun x => ENNReal.ofReal (-f x) := by measurability
refine eq_singularPart hfneg htμ.2 ?_
rw [toJordanDecomposition_eq_of_eq_add_withDensity hf hfi htμ' hadd]
theorem eq_singularPart (t : SignedMeasure α) (f : α → ℝ) (htμ : t ⟂ᵥ μ.toENNRealVectorMeasure)
(hadd : s = t + μ.withDensityᵥ f) : t = s.singularPart μ := by
by_cases hfi : Integrable f μ
· refine eq_singularPart' t hfi.1.measurable_mk (hfi.congr hfi.1.ae_eq_mk) htμ ?_
convert hadd using 2
exact WithDensityᵥEq.congr_ae hfi.1.ae_eq_mk.symm
· rw [withDensityᵥ, dif_neg hfi, add_zero] at hadd
refine eq_singularPart' t measurable_zero (integrable_zero _ _ μ) htμ ?_
rwa [withDensityᵥ_zero, add_zero]
#align measure_theory.signed_measure.eq_singular_part MeasureTheory.SignedMeasure.eq_singularPart
theorem singularPart_zero (μ : Measure α) : (0 : SignedMeasure α).singularPart μ = 0 := by
refine (eq_singularPart 0 0 VectorMeasure.MutuallySingular.zero_left ?_).symm
rw [zero_add, withDensityᵥ_zero]
#align measure_theory.signed_measure.singular_part_zero MeasureTheory.SignedMeasure.singularPart_zero
theorem singularPart_neg (s : SignedMeasure α) (μ : Measure α) :
(-s).singularPart μ = -s.singularPart μ := by
have h₁ :
((-s).toJordanDecomposition.posPart.singularPart μ).toSignedMeasure =
(s.toJordanDecomposition.negPart.singularPart μ).toSignedMeasure := by
refine toSignedMeasure_congr ?_
rw [toJordanDecomposition_neg, JordanDecomposition.neg_posPart]
have h₂ :
((-s).toJordanDecomposition.negPart.singularPart μ).toSignedMeasure =
(s.toJordanDecomposition.posPart.singularPart μ).toSignedMeasure := by
refine toSignedMeasure_congr ?_
rw [toJordanDecomposition_neg, JordanDecomposition.neg_negPart]
rw [singularPart, singularPart, neg_sub, h₁, h₂]
#align measure_theory.signed_measure.singular_part_neg MeasureTheory.SignedMeasure.singularPart_neg
| Mathlib/MeasureTheory/Decomposition/SignedLebesgue.lean | 351 | 359 | theorem singularPart_smul_nnreal (s : SignedMeasure α) (μ : Measure α) (r : ℝ≥0) :
(r • s).singularPart μ = r • s.singularPart μ := by |
rw [singularPart, singularPart, smul_sub, ← toSignedMeasure_smul, ← toSignedMeasure_smul]
conv_lhs =>
congr
· congr
· rw [toJordanDecomposition_smul, JordanDecomposition.smul_posPart, singularPart_smul]
· congr
rw [toJordanDecomposition_smul, JordanDecomposition.smul_negPart, singularPart_smul]
|
import Mathlib.Algebra.GCDMonoid.Multiset
import Mathlib.Combinatorics.Enumerative.Partition
import Mathlib.Data.List.Rotate
import Mathlib.GroupTheory.Perm.Cycle.Factors
import Mathlib.GroupTheory.Perm.Closure
import Mathlib.Algebra.GCDMonoid.Nat
import Mathlib.Tactic.NormNum.GCD
#align_import group_theory.perm.cycle.type from "leanprover-community/mathlib"@"47adfab39a11a072db552f47594bf8ed2cf8a722"
namespace Equiv.Perm
open Equiv List Multiset
variable {α : Type*} [Fintype α]
section CycleType
variable [DecidableEq α]
def cycleType (σ : Perm α) : Multiset ℕ :=
σ.cycleFactorsFinset.1.map (Finset.card ∘ support)
#align equiv.perm.cycle_type Equiv.Perm.cycleType
theorem cycleType_def (σ : Perm α) :
σ.cycleType = σ.cycleFactorsFinset.1.map (Finset.card ∘ support) :=
rfl
#align equiv.perm.cycle_type_def Equiv.Perm.cycleType_def
theorem cycleType_eq' {σ : Perm α} (s : Finset (Perm α)) (h1 : ∀ f : Perm α, f ∈ s → f.IsCycle)
(h2 : (s : Set (Perm α)).Pairwise Disjoint)
(h0 : s.noncommProd id (h2.imp fun _ _ => Disjoint.commute) = σ) :
σ.cycleType = s.1.map (Finset.card ∘ support) := by
rw [cycleType_def]
congr
rw [cycleFactorsFinset_eq_finset]
exact ⟨h1, h2, h0⟩
#align equiv.perm.cycle_type_eq' Equiv.Perm.cycleType_eq'
theorem cycleType_eq {σ : Perm α} (l : List (Perm α)) (h0 : l.prod = σ)
(h1 : ∀ σ : Perm α, σ ∈ l → σ.IsCycle) (h2 : l.Pairwise Disjoint) :
σ.cycleType = l.map (Finset.card ∘ support) := by
have hl : l.Nodup := nodup_of_pairwise_disjoint_cycles h1 h2
rw [cycleType_eq' l.toFinset]
· simp [List.dedup_eq_self.mpr hl, (· ∘ ·)]
· simpa using h1
· simpa [hl] using h2
· simp [hl, h0]
#align equiv.perm.cycle_type_eq Equiv.Perm.cycleType_eq
@[simp] -- Porting note: new attr
theorem cycleType_eq_zero {σ : Perm α} : σ.cycleType = 0 ↔ σ = 1 := by
simp [cycleType_def, cycleFactorsFinset_eq_empty_iff]
#align equiv.perm.cycle_type_eq_zero Equiv.Perm.cycleType_eq_zero
@[simp] -- Porting note: new attr
theorem cycleType_one : (1 : Perm α).cycleType = 0 := cycleType_eq_zero.2 rfl
#align equiv.perm.cycle_type_one Equiv.Perm.cycleType_one
theorem card_cycleType_eq_zero {σ : Perm α} : Multiset.card σ.cycleType = 0 ↔ σ = 1 := by
rw [card_eq_zero, cycleType_eq_zero]
#align equiv.perm.card_cycle_type_eq_zero Equiv.Perm.card_cycleType_eq_zero
theorem card_cycleType_pos {σ : Perm α} : 0 < Multiset.card σ.cycleType ↔ σ ≠ 1 :=
pos_iff_ne_zero.trans card_cycleType_eq_zero.not
theorem two_le_of_mem_cycleType {σ : Perm α} {n : ℕ} (h : n ∈ σ.cycleType) : 2 ≤ n := by
simp only [cycleType_def, ← Finset.mem_def, Function.comp_apply, Multiset.mem_map,
mem_cycleFactorsFinset_iff] at h
obtain ⟨_, ⟨hc, -⟩, rfl⟩ := h
exact hc.two_le_card_support
#align equiv.perm.two_le_of_mem_cycle_type Equiv.Perm.two_le_of_mem_cycleType
theorem one_lt_of_mem_cycleType {σ : Perm α} {n : ℕ} (h : n ∈ σ.cycleType) : 1 < n :=
two_le_of_mem_cycleType h
#align equiv.perm.one_lt_of_mem_cycle_type Equiv.Perm.one_lt_of_mem_cycleType
theorem IsCycle.cycleType {σ : Perm α} (hσ : IsCycle σ) : σ.cycleType = [σ.support.card] :=
cycleType_eq [σ] (mul_one σ) (fun _τ hτ => (congr_arg IsCycle (List.mem_singleton.mp hτ)).mpr hσ)
(List.pairwise_singleton Disjoint σ)
#align equiv.perm.is_cycle.cycle_type Equiv.Perm.IsCycle.cycleType
theorem card_cycleType_eq_one {σ : Perm α} : Multiset.card σ.cycleType = 1 ↔ σ.IsCycle := by
rw [card_eq_one]
simp_rw [cycleType_def, Multiset.map_eq_singleton, ← Finset.singleton_val, Finset.val_inj,
cycleFactorsFinset_eq_singleton_iff]
constructor
· rintro ⟨_, _, ⟨h, -⟩, -⟩
exact h
· intro h
use σ.support.card, σ
simp [h]
#align equiv.perm.card_cycle_type_eq_one Equiv.Perm.card_cycleType_eq_one
theorem Disjoint.cycleType {σ τ : Perm α} (h : Disjoint σ τ) :
(σ * τ).cycleType = σ.cycleType + τ.cycleType := by
rw [cycleType_def, cycleType_def, cycleType_def, h.cycleFactorsFinset_mul_eq_union, ←
Multiset.map_add, Finset.union_val, Multiset.add_eq_union_iff_disjoint.mpr _]
exact Finset.disjoint_val.2 h.disjoint_cycleFactorsFinset
#align equiv.perm.disjoint.cycle_type Equiv.Perm.Disjoint.cycleType
@[simp] -- Porting note: new attr
theorem cycleType_inv (σ : Perm α) : σ⁻¹.cycleType = σ.cycleType :=
cycle_induction_on (P := fun τ : Perm α => τ⁻¹.cycleType = τ.cycleType) σ rfl
(fun σ hσ => by simp only [hσ.cycleType, hσ.inv.cycleType, support_inv])
fun σ τ hστ _ hσ hτ => by
simp only [mul_inv_rev, hστ.cycleType, hστ.symm.inv_left.inv_right.cycleType, hσ, hτ,
add_comm]
#align equiv.perm.cycle_type_inv Equiv.Perm.cycleType_inv
@[simp] -- Porting note: new attr
theorem cycleType_conj {σ τ : Perm α} : (τ * σ * τ⁻¹).cycleType = σ.cycleType := by
induction σ using cycle_induction_on with
| base_one => simp
| base_cycles σ hσ => rw [hσ.cycleType, hσ.conj.cycleType, card_support_conj]
| induction_disjoint σ π hd _ hσ hπ =>
rw [← conj_mul, hd.cycleType, (hd.conj _).cycleType, hσ, hπ]
#align equiv.perm.cycle_type_conj Equiv.Perm.cycleType_conj
theorem sum_cycleType (σ : Perm α) : σ.cycleType.sum = σ.support.card := by
induction σ using cycle_induction_on with
| base_one => simp
| base_cycles σ hσ => rw [hσ.cycleType, sum_coe, List.sum_singleton]
| induction_disjoint σ τ hd _ hσ hτ => rw [hd.cycleType, sum_add, hσ, hτ, hd.card_support_mul]
#align equiv.perm.sum_cycle_type Equiv.Perm.sum_cycleType
theorem sign_of_cycleType' (σ : Perm α) :
sign σ = (σ.cycleType.map fun n => -(-1 : ℤˣ) ^ n).prod := by
induction σ using cycle_induction_on with
| base_one => simp
| base_cycles σ hσ => simp [hσ.cycleType, hσ.sign]
| induction_disjoint σ τ hd _ hσ hτ => simp [hσ, hτ, hd.cycleType]
#align equiv.perm.sign_of_cycle_type' Equiv.Perm.sign_of_cycleType'
theorem sign_of_cycleType (f : Perm α) :
sign f = (-1 : ℤˣ) ^ (f.cycleType.sum + Multiset.card f.cycleType) := by
rw [sign_of_cycleType']
induction' f.cycleType using Multiset.induction_on with a s ihs
· rfl
· rw [Multiset.map_cons, Multiset.prod_cons, Multiset.sum_cons, Multiset.card_cons, ihs]
simp only [pow_add, pow_one, mul_neg_one, neg_mul, mul_neg, mul_assoc, mul_one]
#align equiv.perm.sign_of_cycle_type Equiv.Perm.sign_of_cycleType
@[simp] -- Porting note: new attr
theorem lcm_cycleType (σ : Perm α) : σ.cycleType.lcm = orderOf σ := by
induction σ using cycle_induction_on with
| base_one => simp
| base_cycles σ hσ => simp [hσ.cycleType, hσ.orderOf]
| induction_disjoint σ τ hd _ hσ hτ => simp [hd.cycleType, hd.orderOf, lcm_eq_nat_lcm, hσ, hτ]
#align equiv.perm.lcm_cycle_type Equiv.Perm.lcm_cycleType
theorem dvd_of_mem_cycleType {σ : Perm α} {n : ℕ} (h : n ∈ σ.cycleType) : n ∣ orderOf σ := by
rw [← lcm_cycleType]
exact dvd_lcm h
#align equiv.perm.dvd_of_mem_cycle_type Equiv.Perm.dvd_of_mem_cycleType
theorem orderOf_cycleOf_dvd_orderOf (f : Perm α) (x : α) : orderOf (cycleOf f x) ∣ orderOf f := by
by_cases hx : f x = x
· rw [← cycleOf_eq_one_iff] at hx
simp [hx]
· refine dvd_of_mem_cycleType ?_
rw [cycleType, Multiset.mem_map]
refine ⟨f.cycleOf x, ?_, ?_⟩
· rwa [← Finset.mem_def, cycleOf_mem_cycleFactorsFinset_iff, mem_support]
· simp [(isCycle_cycleOf _ hx).orderOf]
#align equiv.perm.order_of_cycle_of_dvd_order_of Equiv.Perm.orderOf_cycleOf_dvd_orderOf
theorem two_dvd_card_support {σ : Perm α} (hσ : σ ^ 2 = 1) : 2 ∣ σ.support.card :=
(congr_arg (Dvd.dvd 2) σ.sum_cycleType).mp
(Multiset.dvd_sum fun n hn => by
rw [_root_.le_antisymm
(Nat.le_of_dvd zero_lt_two <|
(dvd_of_mem_cycleType hn).trans <| orderOf_dvd_of_pow_eq_one hσ)
(two_le_of_mem_cycleType hn)])
#align equiv.perm.two_dvd_card_support Equiv.Perm.two_dvd_card_support
theorem cycleType_prime_order {σ : Perm α} (hσ : (orderOf σ).Prime) :
∃ n : ℕ, σ.cycleType = Multiset.replicate (n + 1) (orderOf σ) := by
refine ⟨Multiset.card σ.cycleType - 1, eq_replicate.2 ⟨?_, fun n hn ↦ ?_⟩⟩
· rw [tsub_add_cancel_of_le]
rw [Nat.succ_le_iff, card_cycleType_pos, Ne, ← orderOf_eq_one_iff]
exact hσ.ne_one
· exact (hσ.eq_one_or_self_of_dvd n (dvd_of_mem_cycleType hn)).resolve_left
(one_lt_of_mem_cycleType hn).ne'
#align equiv.perm.cycle_type_prime_order Equiv.Perm.cycleType_prime_order
theorem isCycle_of_prime_order {σ : Perm α} (h1 : (orderOf σ).Prime)
(h2 : σ.support.card < 2 * orderOf σ) : σ.IsCycle := by
obtain ⟨n, hn⟩ := cycleType_prime_order h1
rw [← σ.sum_cycleType, hn, Multiset.sum_replicate, nsmul_eq_mul, Nat.cast_id,
mul_lt_mul_right (orderOf_pos σ), Nat.succ_lt_succ_iff, Nat.lt_succ_iff, Nat.le_zero] at h2
rw [← card_cycleType_eq_one, hn, card_replicate, h2]
#align equiv.perm.is_cycle_of_prime_order Equiv.Perm.isCycle_of_prime_order
theorem cycleType_le_of_mem_cycleFactorsFinset {f g : Perm α} (hf : f ∈ g.cycleFactorsFinset) :
f.cycleType ≤ g.cycleType := by
have hf' := mem_cycleFactorsFinset_iff.1 hf
rw [cycleType_def, cycleType_def, hf'.left.cycleFactorsFinset_eq_singleton]
refine map_le_map ?_
simpa only [Finset.singleton_val, singleton_le, Finset.mem_val] using hf
#align equiv.perm.cycle_type_le_of_mem_cycle_factors_finset Equiv.Perm.cycleType_le_of_mem_cycleFactorsFinset
theorem cycleType_mul_inv_mem_cycleFactorsFinset_eq_sub
{f g : Perm α} (hf : f ∈ g.cycleFactorsFinset) :
(g * f⁻¹).cycleType = g.cycleType - f.cycleType :=
add_right_cancel (b := f.cycleType) <| by
rw [← (disjoint_mul_inv_of_mem_cycleFactorsFinset hf).cycleType, inv_mul_cancel_right,
tsub_add_cancel_of_le (cycleType_le_of_mem_cycleFactorsFinset hf)]
#align equiv.perm.cycle_type_mul_mem_cycle_factors_finset_eq_sub Equiv.Perm.cycleType_mul_inv_mem_cycleFactorsFinset_eq_sub
theorem isConj_of_cycleType_eq {σ τ : Perm α} (h : cycleType σ = cycleType τ) : IsConj σ τ := by
induction σ using cycle_induction_on generalizing τ with
| base_one =>
rw [cycleType_one, eq_comm, cycleType_eq_zero] at h
rw [h]
| base_cycles σ hσ =>
have hτ := card_cycleType_eq_one.2 hσ
rw [h, card_cycleType_eq_one] at hτ
apply hσ.isConj hτ
rw [hσ.cycleType, hτ.cycleType, coe_eq_coe, List.singleton_perm] at h
exact List.singleton_injective h
| induction_disjoint σ π hd hc hσ hπ =>
rw [hd.cycleType] at h
have h' : σ.support.card ∈ τ.cycleType := by
simp [← h, hc.cycleType]
obtain ⟨σ', hσ'l, hσ'⟩ := Multiset.mem_map.mp h'
have key : IsConj (σ' * τ * σ'⁻¹) τ := (isConj_iff.2 ⟨σ', rfl⟩).symm
refine IsConj.trans ?_ key
rw [mul_assoc]
have hs : σ.cycleType = σ'.cycleType := by
rw [← Finset.mem_def, mem_cycleFactorsFinset_iff] at hσ'l
rw [hc.cycleType, ← hσ', hσ'l.left.cycleType]; rfl
refine hd.isConj_mul (hσ hs) (hπ ?_) ?_
· rw [cycleType_mul_inv_mem_cycleFactorsFinset_eq_sub, ← h, add_comm, hs,
add_tsub_cancel_right]
rwa [Finset.mem_def]
· exact (disjoint_mul_inv_of_mem_cycleFactorsFinset hσ'l).symm
#align equiv.perm.is_conj_of_cycle_type_eq Equiv.Perm.isConj_of_cycleType_eq
theorem isConj_iff_cycleType_eq {σ τ : Perm α} : IsConj σ τ ↔ σ.cycleType = τ.cycleType :=
⟨fun h => by
obtain ⟨π, rfl⟩ := isConj_iff.1 h
rw [cycleType_conj], isConj_of_cycleType_eq⟩
#align equiv.perm.is_conj_iff_cycle_type_eq Equiv.Perm.isConj_iff_cycleType_eq
@[simp]
theorem cycleType_extendDomain {β : Type*} [Fintype β] [DecidableEq β] {p : β → Prop}
[DecidablePred p] (f : α ≃ Subtype p) {g : Perm α} :
cycleType (g.extendDomain f) = cycleType g := by
induction g using cycle_induction_on with
| base_one => rw [extendDomain_one, cycleType_one, cycleType_one]
| base_cycles σ hσ =>
rw [(hσ.extendDomain f).cycleType, hσ.cycleType, card_support_extend_domain]
| induction_disjoint σ τ hd _ hσ hτ =>
rw [hd.cycleType, ← extendDomain_mul, (hd.extendDomain f).cycleType, hσ, hτ]
#align equiv.perm.cycle_type_extend_domain Equiv.Perm.cycleType_extendDomain
theorem cycleType_ofSubtype {p : α → Prop} [DecidablePred p] {g : Perm (Subtype p)} :
cycleType (ofSubtype g) = cycleType g :=
cycleType_extendDomain (Equiv.refl (Subtype p))
#align equiv.perm.cycle_type_of_subtype Equiv.Perm.cycleType_ofSubtype
| Mathlib/GroupTheory/Perm/Cycle/Type.lean | 290 | 302 | theorem mem_cycleType_iff {n : ℕ} {σ : Perm α} :
n ∈ cycleType σ ↔ ∃ c τ, σ = c * τ ∧ Disjoint c τ ∧ IsCycle c ∧ c.support.card = n := by |
constructor
· intro h
obtain ⟨l, rfl, hlc, hld⟩ := truncCycleFactors σ
rw [cycleType_eq _ rfl hlc hld, Multiset.mem_coe, List.mem_map] at h
obtain ⟨c, cl, rfl⟩ := h
rw [(List.perm_cons_erase cl).pairwise_iff @(Disjoint.symmetric)] at hld
refine ⟨c, (l.erase c).prod, ?_, ?_, hlc _ cl, rfl⟩
· rw [← List.prod_cons, (List.perm_cons_erase cl).symm.prod_eq' (hld.imp Disjoint.commute)]
· exact disjoint_prod_right _ fun g => List.rel_of_pairwise_cons hld
· rintro ⟨c, t, rfl, hd, hc, rfl⟩
simp [hd.cycleType, hc.cycleType]
|
import Mathlib.Data.ZMod.Basic
import Mathlib.GroupTheory.Coxeter.Basic
namespace CoxeterSystem
open List Matrix Function Classical
variable {B : Type*}
variable {W : Type*} [Group W]
variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W)
local prefix:100 "s" => cs.simple
local prefix:100 "π" => cs.wordProd
private theorem exists_word_with_prod (w : W) : ∃ n ω, ω.length = n ∧ π ω = w := by
rcases cs.wordProd_surjective w with ⟨ω, rfl⟩
use ω.length, ω
noncomputable def length (w : W) : ℕ := Nat.find (cs.exists_word_with_prod w)
local prefix:100 "ℓ" => cs.length
theorem exists_reduced_word (w : W) : ∃ ω, ω.length = ℓ w ∧ w = π ω := by
have := Nat.find_spec (cs.exists_word_with_prod w)
tauto
theorem length_wordProd_le (ω : List B) : ℓ (π ω) ≤ ω.length :=
Nat.find_min' (cs.exists_word_with_prod (π ω)) ⟨ω, by tauto⟩
@[simp] theorem length_one : ℓ (1 : W) = 0 := Nat.eq_zero_of_le_zero (cs.length_wordProd_le [])
@[simp]
| Mathlib/GroupTheory/Coxeter/Length.lean | 81 | 88 | theorem length_eq_zero_iff {w : W} : ℓ w = 0 ↔ w = 1 := by |
constructor
· intro h
rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩
have : ω = [] := eq_nil_of_length_eq_zero (hω.trans h)
rw [this, wordProd_nil]
· rintro rfl
exact cs.length_one
|
import Mathlib.Analysis.Convex.Side
import Mathlib.Geometry.Euclidean.Angle.Oriented.Rotation
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine
#align_import geometry.euclidean.angle.oriented.affine from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open FiniteDimensional Complex
open scoped Affine EuclideanGeometry Real RealInnerProductSpace ComplexConjugate
namespace EuclideanGeometry
variable {V : Type*} {P : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V] [MetricSpace P]
[NormedAddTorsor V P] [hd2 : Fact (finrank ℝ V = 2)] [Module.Oriented ℝ V (Fin 2)]
abbrev o := @Module.Oriented.positiveOrientation
def oangle (p₁ p₂ p₃ : P) : Real.Angle :=
o.oangle (p₁ -ᵥ p₂) (p₃ -ᵥ p₂)
#align euclidean_geometry.oangle EuclideanGeometry.oangle
@[inherit_doc] scoped notation "∡" => EuclideanGeometry.oangle
theorem continuousAt_oangle {x : P × P × P} (hx12 : x.1 ≠ x.2.1) (hx32 : x.2.2 ≠ x.2.1) :
ContinuousAt (fun y : P × P × P => ∡ y.1 y.2.1 y.2.2) x := by
let f : P × P × P → V × V := fun y => (y.1 -ᵥ y.2.1, y.2.2 -ᵥ y.2.1)
have hf1 : (f x).1 ≠ 0 := by simp [hx12]
have hf2 : (f x).2 ≠ 0 := by simp [hx32]
exact (o.continuousAt_oangle hf1 hf2).comp ((continuous_fst.vsub continuous_snd.fst).prod_mk
(continuous_snd.snd.vsub continuous_snd.fst)).continuousAt
#align euclidean_geometry.continuous_at_oangle EuclideanGeometry.continuousAt_oangle
@[simp]
theorem oangle_self_left (p₁ p₂ : P) : ∡ p₁ p₁ p₂ = 0 := by simp [oangle]
#align euclidean_geometry.oangle_self_left EuclideanGeometry.oangle_self_left
@[simp]
theorem oangle_self_right (p₁ p₂ : P) : ∡ p₁ p₂ p₂ = 0 := by simp [oangle]
#align euclidean_geometry.oangle_self_right EuclideanGeometry.oangle_self_right
@[simp]
theorem oangle_self_left_right (p₁ p₂ : P) : ∡ p₁ p₂ p₁ = 0 :=
o.oangle_self _
#align euclidean_geometry.oangle_self_left_right EuclideanGeometry.oangle_self_left_right
theorem left_ne_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₁ ≠ p₂ := by
rw [← @vsub_ne_zero V]; exact o.left_ne_zero_of_oangle_ne_zero h
#align euclidean_geometry.left_ne_of_oangle_ne_zero EuclideanGeometry.left_ne_of_oangle_ne_zero
theorem right_ne_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₃ ≠ p₂ := by
rw [← @vsub_ne_zero V]; exact o.right_ne_zero_of_oangle_ne_zero h
#align euclidean_geometry.right_ne_of_oangle_ne_zero EuclideanGeometry.right_ne_of_oangle_ne_zero
theorem left_ne_right_of_oangle_ne_zero {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ ≠ 0) : p₁ ≠ p₃ := by
rw [← (vsub_left_injective p₂).ne_iff]; exact o.ne_of_oangle_ne_zero h
#align euclidean_geometry.left_ne_right_of_oangle_ne_zero EuclideanGeometry.left_ne_right_of_oangle_ne_zero
theorem left_ne_of_oangle_eq_pi {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = π) : p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_of_oangle_eq_pi EuclideanGeometry.left_ne_of_oangle_eq_pi
theorem right_ne_of_oangle_eq_pi {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = π) : p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.right_ne_of_oangle_eq_pi EuclideanGeometry.right_ne_of_oangle_eq_pi
theorem left_ne_right_of_oangle_eq_pi {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = π) : p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_right_of_oangle_eq_pi EuclideanGeometry.left_ne_right_of_oangle_eq_pi
theorem left_ne_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (π / 2 : ℝ)) : p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_of_oangle_eq_pi_div_two EuclideanGeometry.left_ne_of_oangle_eq_pi_div_two
theorem right_ne_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (π / 2 : ℝ)) : p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.right_ne_of_oangle_eq_pi_div_two EuclideanGeometry.right_ne_of_oangle_eq_pi_div_two
theorem left_ne_right_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (π / 2 : ℝ)) :
p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (h.symm ▸ Real.Angle.pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_right_of_oangle_eq_pi_div_two EuclideanGeometry.left_ne_right_of_oangle_eq_pi_div_two
theorem left_ne_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (-π / 2 : ℝ)) :
p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_of_oangle_eq_neg_pi_div_two EuclideanGeometry.left_ne_of_oangle_eq_neg_pi_div_two
theorem right_ne_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (-π / 2 : ℝ)) :
p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.right_ne_of_oangle_eq_neg_pi_div_two EuclideanGeometry.right_ne_of_oangle_eq_neg_pi_div_two
theorem left_ne_right_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = (-π / 2 : ℝ)) :
p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (h.symm ▸ Real.Angle.neg_pi_div_two_ne_zero : ∡ p₁ p₂ p₃ ≠ 0)
#align euclidean_geometry.left_ne_right_of_oangle_eq_neg_pi_div_two EuclideanGeometry.left_ne_right_of_oangle_eq_neg_pi_div_two
theorem left_ne_of_oangle_sign_ne_zero {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign ≠ 0) : p₁ ≠ p₂ :=
left_ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align euclidean_geometry.left_ne_of_oangle_sign_ne_zero EuclideanGeometry.left_ne_of_oangle_sign_ne_zero
theorem right_ne_of_oangle_sign_ne_zero {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign ≠ 0) : p₃ ≠ p₂ :=
right_ne_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align euclidean_geometry.right_ne_of_oangle_sign_ne_zero EuclideanGeometry.right_ne_of_oangle_sign_ne_zero
theorem left_ne_right_of_oangle_sign_ne_zero {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign ≠ 0) : p₁ ≠ p₃ :=
left_ne_right_of_oangle_ne_zero (Real.Angle.sign_ne_zero_iff.1 h).1
#align euclidean_geometry.left_ne_right_of_oangle_sign_ne_zero EuclideanGeometry.left_ne_right_of_oangle_sign_ne_zero
theorem left_ne_of_oangle_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) : p₁ ≠ p₂ :=
left_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.left_ne_of_oangle_sign_eq_one EuclideanGeometry.left_ne_of_oangle_sign_eq_one
theorem right_ne_of_oangle_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) : p₃ ≠ p₂ :=
right_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.right_ne_of_oangle_sign_eq_one EuclideanGeometry.right_ne_of_oangle_sign_eq_one
theorem left_ne_right_of_oangle_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) : p₁ ≠ p₃ :=
left_ne_right_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.left_ne_right_of_oangle_sign_eq_one EuclideanGeometry.left_ne_right_of_oangle_sign_eq_one
theorem left_ne_of_oangle_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) : p₁ ≠ p₂ :=
left_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.left_ne_of_oangle_sign_eq_neg_one EuclideanGeometry.left_ne_of_oangle_sign_eq_neg_one
theorem right_ne_of_oangle_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) : p₃ ≠ p₂ :=
right_ne_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.right_ne_of_oangle_sign_eq_neg_one EuclideanGeometry.right_ne_of_oangle_sign_eq_neg_one
theorem left_ne_right_of_oangle_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) :
p₁ ≠ p₃ :=
left_ne_right_of_oangle_sign_ne_zero (h.symm ▸ by decide : (∡ p₁ p₂ p₃).sign ≠ 0)
#align euclidean_geometry.left_ne_right_of_oangle_sign_eq_neg_one EuclideanGeometry.left_ne_right_of_oangle_sign_eq_neg_one
theorem oangle_rev (p₁ p₂ p₃ : P) : ∡ p₃ p₂ p₁ = -∡ p₁ p₂ p₃ :=
o.oangle_rev _ _
#align euclidean_geometry.oangle_rev EuclideanGeometry.oangle_rev
@[simp]
theorem oangle_add_oangle_rev (p₁ p₂ p₃ : P) : ∡ p₁ p₂ p₃ + ∡ p₃ p₂ p₁ = 0 :=
o.oangle_add_oangle_rev _ _
#align euclidean_geometry.oangle_add_oangle_rev EuclideanGeometry.oangle_add_oangle_rev
theorem oangle_eq_zero_iff_oangle_rev_eq_zero {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = 0 ↔ ∡ p₃ p₂ p₁ = 0 :=
o.oangle_eq_zero_iff_oangle_rev_eq_zero
#align euclidean_geometry.oangle_eq_zero_iff_oangle_rev_eq_zero EuclideanGeometry.oangle_eq_zero_iff_oangle_rev_eq_zero
theorem oangle_eq_pi_iff_oangle_rev_eq_pi {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = π ↔ ∡ p₃ p₂ p₁ = π :=
o.oangle_eq_pi_iff_oangle_rev_eq_pi
#align euclidean_geometry.oangle_eq_pi_iff_oangle_rev_eq_pi EuclideanGeometry.oangle_eq_pi_iff_oangle_rev_eq_pi
theorem oangle_ne_zero_and_ne_pi_iff_affineIndependent {p₁ p₂ p₃ : P} :
∡ p₁ p₂ p₃ ≠ 0 ∧ ∡ p₁ p₂ p₃ ≠ π ↔ AffineIndependent ℝ ![p₁, p₂, p₃] := by
rw [oangle, o.oangle_ne_zero_and_ne_pi_iff_linearIndependent,
affineIndependent_iff_linearIndependent_vsub ℝ _ (1 : Fin 3), ←
linearIndependent_equiv (finSuccAboveEquiv (1 : Fin 3)).toEquiv]
convert Iff.rfl
ext i
fin_cases i <;> rfl
#align euclidean_geometry.oangle_ne_zero_and_ne_pi_iff_affine_independent EuclideanGeometry.oangle_ne_zero_and_ne_pi_iff_affineIndependent
theorem oangle_eq_zero_or_eq_pi_iff_collinear {p₁ p₂ p₃ : P} :
∡ p₁ p₂ p₃ = 0 ∨ ∡ p₁ p₂ p₃ = π ↔ Collinear ℝ ({p₁, p₂, p₃} : Set P) := by
rw [← not_iff_not, not_or, oangle_ne_zero_and_ne_pi_iff_affineIndependent,
affineIndependent_iff_not_collinear_set]
#align euclidean_geometry.oangle_eq_zero_or_eq_pi_iff_collinear EuclideanGeometry.oangle_eq_zero_or_eq_pi_iff_collinear
theorem oangle_sign_eq_zero_iff_collinear {p₁ p₂ p₃ : P} :
(∡ p₁ p₂ p₃).sign = 0 ↔ Collinear ℝ ({p₁, p₂, p₃} : Set P) := by
rw [Real.Angle.sign_eq_zero_iff, oangle_eq_zero_or_eq_pi_iff_collinear]
theorem affineIndependent_iff_of_two_zsmul_oangle_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h : (2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆) :
AffineIndependent ℝ ![p₁, p₂, p₃] ↔ AffineIndependent ℝ ![p₄, p₅, p₆] := by
simp_rw [← oangle_ne_zero_and_ne_pi_iff_affineIndependent, ← Real.Angle.two_zsmul_ne_zero_iff, h]
#align euclidean_geometry.affine_independent_iff_of_two_zsmul_oangle_eq EuclideanGeometry.affineIndependent_iff_of_two_zsmul_oangle_eq
theorem collinear_iff_of_two_zsmul_oangle_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h : (2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆) :
Collinear ℝ ({p₁, p₂, p₃} : Set P) ↔ Collinear ℝ ({p₄, p₅, p₆} : Set P) := by
simp_rw [← oangle_eq_zero_or_eq_pi_iff_collinear, ← Real.Angle.two_zsmul_eq_zero_iff, h]
#align euclidean_geometry.collinear_iff_of_two_zsmul_oangle_eq EuclideanGeometry.collinear_iff_of_two_zsmul_oangle_eq
theorem two_zsmul_oangle_of_vectorSpan_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h₁₂₄₅ : vectorSpan ℝ ({p₁, p₂} : Set P) = vectorSpan ℝ ({p₄, p₅} : Set P))
(h₃₂₆₅ : vectorSpan ℝ ({p₃, p₂} : Set P) = vectorSpan ℝ ({p₆, p₅} : Set P)) :
(2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆ := by
simp_rw [vectorSpan_pair] at h₁₂₄₅ h₃₂₆₅
exact o.two_zsmul_oangle_of_span_eq_of_span_eq h₁₂₄₅ h₃₂₆₅
#align euclidean_geometry.two_zsmul_oangle_of_vector_span_eq EuclideanGeometry.two_zsmul_oangle_of_vectorSpan_eq
theorem two_zsmul_oangle_of_parallel {p₁ p₂ p₃ p₄ p₅ p₆ : P}
(h₁₂₄₅ : line[ℝ, p₁, p₂] ∥ line[ℝ, p₄, p₅]) (h₃₂₆₅ : line[ℝ, p₃, p₂] ∥ line[ℝ, p₆, p₅]) :
(2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₄ p₅ p₆ := by
rw [AffineSubspace.affineSpan_pair_parallel_iff_vectorSpan_eq] at h₁₂₄₅ h₃₂₆₅
exact two_zsmul_oangle_of_vectorSpan_eq h₁₂₄₅ h₃₂₆₅
#align euclidean_geometry.two_zsmul_oangle_of_parallel EuclideanGeometry.two_zsmul_oangle_of_parallel
@[simp]
theorem oangle_add {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₂ + ∡ p₂ p p₃ = ∡ p₁ p p₃ :=
o.oangle_add (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
#align euclidean_geometry.oangle_add EuclideanGeometry.oangle_add
@[simp]
theorem oangle_add_swap {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₂ p p₃ + ∡ p₁ p p₂ = ∡ p₁ p p₃ :=
o.oangle_add_swap (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
#align euclidean_geometry.oangle_add_swap EuclideanGeometry.oangle_add_swap
@[simp]
theorem oangle_sub_left {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₃ - ∡ p₁ p p₂ = ∡ p₂ p p₃ :=
o.oangle_sub_left (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
#align euclidean_geometry.oangle_sub_left EuclideanGeometry.oangle_sub_left
@[simp]
theorem oangle_sub_right {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₃ - ∡ p₂ p p₃ = ∡ p₁ p p₂ :=
o.oangle_sub_right (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
#align euclidean_geometry.oangle_sub_right EuclideanGeometry.oangle_sub_right
@[simp]
theorem oangle_add_cyc3 {p p₁ p₂ p₃ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) (hp₃ : p₃ ≠ p) :
∡ p₁ p p₂ + ∡ p₂ p p₃ + ∡ p₃ p p₁ = 0 :=
o.oangle_add_cyc3 (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂) (vsub_ne_zero.2 hp₃)
#align euclidean_geometry.oangle_add_cyc3 EuclideanGeometry.oangle_add_cyc3
theorem oangle_eq_oangle_of_dist_eq {p₁ p₂ p₃ : P} (h : dist p₁ p₂ = dist p₁ p₃) :
∡ p₁ p₂ p₃ = ∡ p₂ p₃ p₁ := by
simp_rw [dist_eq_norm_vsub V] at h
rw [oangle, oangle, ← vsub_sub_vsub_cancel_left p₃ p₂ p₁, ← vsub_sub_vsub_cancel_left p₂ p₃ p₁,
o.oangle_sub_eq_oangle_sub_rev_of_norm_eq h]
#align euclidean_geometry.oangle_eq_oangle_of_dist_eq EuclideanGeometry.oangle_eq_oangle_of_dist_eq
theorem oangle_eq_pi_sub_two_zsmul_oangle_of_dist_eq {p₁ p₂ p₃ : P} (hn : p₂ ≠ p₃)
(h : dist p₁ p₂ = dist p₁ p₃) : ∡ p₃ p₁ p₂ = π - (2 : ℤ) • ∡ p₁ p₂ p₃ := by
simp_rw [dist_eq_norm_vsub V] at h
rw [oangle, oangle]
convert o.oangle_eq_pi_sub_two_zsmul_oangle_sub_of_norm_eq _ h using 1
· rw [← neg_vsub_eq_vsub_rev p₁ p₃, ← neg_vsub_eq_vsub_rev p₁ p₂, o.oangle_neg_neg]
· rw [← o.oangle_sub_eq_oangle_sub_rev_of_norm_eq h]; simp
· simpa using hn
#align euclidean_geometry.oangle_eq_pi_sub_two_zsmul_oangle_of_dist_eq EuclideanGeometry.oangle_eq_pi_sub_two_zsmul_oangle_of_dist_eq
theorem abs_oangle_right_toReal_lt_pi_div_two_of_dist_eq {p₁ p₂ p₃ : P}
(h : dist p₁ p₂ = dist p₁ p₃) : |(∡ p₁ p₂ p₃).toReal| < π / 2 := by
simp_rw [dist_eq_norm_vsub V] at h
rw [oangle, ← vsub_sub_vsub_cancel_left p₃ p₂ p₁]
exact o.abs_oangle_sub_right_toReal_lt_pi_div_two h
#align euclidean_geometry.abs_oangle_right_to_real_lt_pi_div_two_of_dist_eq EuclideanGeometry.abs_oangle_right_toReal_lt_pi_div_two_of_dist_eq
theorem abs_oangle_left_toReal_lt_pi_div_two_of_dist_eq {p₁ p₂ p₃ : P}
(h : dist p₁ p₂ = dist p₁ p₃) : |(∡ p₂ p₃ p₁).toReal| < π / 2 :=
oangle_eq_oangle_of_dist_eq h ▸ abs_oangle_right_toReal_lt_pi_div_two_of_dist_eq h
#align euclidean_geometry.abs_oangle_left_to_real_lt_pi_div_two_of_dist_eq EuclideanGeometry.abs_oangle_left_toReal_lt_pi_div_two_of_dist_eq
theorem cos_oangle_eq_cos_angle {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
Real.Angle.cos (∡ p₁ p p₂) = Real.cos (∠ p₁ p p₂) :=
o.cos_oangle_eq_cos_angle (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
#align euclidean_geometry.cos_oangle_eq_cos_angle EuclideanGeometry.cos_oangle_eq_cos_angle
theorem oangle_eq_angle_or_eq_neg_angle {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
∡ p₁ p p₂ = ∠ p₁ p p₂ ∨ ∡ p₁ p p₂ = -∠ p₁ p p₂ :=
o.oangle_eq_angle_or_eq_neg_angle (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
#align euclidean_geometry.oangle_eq_angle_or_eq_neg_angle EuclideanGeometry.oangle_eq_angle_or_eq_neg_angle
theorem angle_eq_abs_oangle_toReal {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
∠ p₁ p p₂ = |(∡ p₁ p p₂).toReal| :=
o.angle_eq_abs_oangle_toReal (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
#align euclidean_geometry.angle_eq_abs_oangle_to_real EuclideanGeometry.angle_eq_abs_oangle_toReal
theorem eq_zero_or_angle_eq_zero_or_pi_of_sign_oangle_eq_zero {p p₁ p₂ : P}
(h : (∡ p₁ p p₂).sign = 0) : p₁ = p ∨ p₂ = p ∨ ∠ p₁ p p₂ = 0 ∨ ∠ p₁ p p₂ = π := by
convert o.eq_zero_or_angle_eq_zero_or_pi_of_sign_oangle_eq_zero h <;> simp
#align euclidean_geometry.eq_zero_or_angle_eq_zero_or_pi_of_sign_oangle_eq_zero EuclideanGeometry.eq_zero_or_angle_eq_zero_or_pi_of_sign_oangle_eq_zero
theorem oangle_eq_of_angle_eq_of_sign_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P} (h : ∠ p₁ p₂ p₃ = ∠ p₄ p₅ p₆)
(hs : (∡ p₁ p₂ p₃).sign = (∡ p₄ p₅ p₆).sign) : ∡ p₁ p₂ p₃ = ∡ p₄ p₅ p₆ :=
o.oangle_eq_of_angle_eq_of_sign_eq h hs
#align euclidean_geometry.oangle_eq_of_angle_eq_of_sign_eq EuclideanGeometry.oangle_eq_of_angle_eq_of_sign_eq
theorem angle_eq_iff_oangle_eq_of_sign_eq {p₁ p₂ p₃ p₄ p₅ p₆ : P} (hp₁ : p₁ ≠ p₂) (hp₃ : p₃ ≠ p₂)
(hp₄ : p₄ ≠ p₅) (hp₆ : p₆ ≠ p₅) (hs : (∡ p₁ p₂ p₃).sign = (∡ p₄ p₅ p₆).sign) :
∠ p₁ p₂ p₃ = ∠ p₄ p₅ p₆ ↔ ∡ p₁ p₂ p₃ = ∡ p₄ p₅ p₆ :=
o.angle_eq_iff_oangle_eq_of_sign_eq (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₃) (vsub_ne_zero.2 hp₄)
(vsub_ne_zero.2 hp₆) hs
#align euclidean_geometry.angle_eq_iff_oangle_eq_of_sign_eq EuclideanGeometry.angle_eq_iff_oangle_eq_of_sign_eq
theorem oangle_eq_angle_of_sign_eq_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = 1) :
∡ p₁ p₂ p₃ = ∠ p₁ p₂ p₃ :=
o.oangle_eq_angle_of_sign_eq_one h
#align euclidean_geometry.oangle_eq_angle_of_sign_eq_one EuclideanGeometry.oangle_eq_angle_of_sign_eq_one
theorem oangle_eq_neg_angle_of_sign_eq_neg_one {p₁ p₂ p₃ : P} (h : (∡ p₁ p₂ p₃).sign = -1) :
∡ p₁ p₂ p₃ = -∠ p₁ p₂ p₃ :=
o.oangle_eq_neg_angle_of_sign_eq_neg_one h
#align euclidean_geometry.oangle_eq_neg_angle_of_sign_eq_neg_one EuclideanGeometry.oangle_eq_neg_angle_of_sign_eq_neg_one
theorem oangle_eq_zero_iff_angle_eq_zero {p p₁ p₂ : P} (hp₁ : p₁ ≠ p) (hp₂ : p₂ ≠ p) :
∡ p₁ p p₂ = 0 ↔ ∠ p₁ p p₂ = 0 :=
o.oangle_eq_zero_iff_angle_eq_zero (vsub_ne_zero.2 hp₁) (vsub_ne_zero.2 hp₂)
#align euclidean_geometry.oangle_eq_zero_iff_angle_eq_zero EuclideanGeometry.oangle_eq_zero_iff_angle_eq_zero
theorem oangle_eq_pi_iff_angle_eq_pi {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = π ↔ ∠ p₁ p₂ p₃ = π :=
o.oangle_eq_pi_iff_angle_eq_pi
#align euclidean_geometry.oangle_eq_pi_iff_angle_eq_pi EuclideanGeometry.oangle_eq_pi_iff_angle_eq_pi
theorem angle_eq_pi_div_two_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∠ p₁ p₂ p₃ = π / 2 := by
rw [angle, ← InnerProductGeometry.inner_eq_zero_iff_angle_eq_pi_div_two]
exact o.inner_eq_zero_of_oangle_eq_pi_div_two h
#align euclidean_geometry.angle_eq_pi_div_two_of_oangle_eq_pi_div_two EuclideanGeometry.angle_eq_pi_div_two_of_oangle_eq_pi_div_two
theorem angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two {p₁ p₂ p₃ : P} (h : ∡ p₁ p₂ p₃ = ↑(π / 2)) :
∠ p₃ p₂ p₁ = π / 2 := by
rw [angle_comm]
exact angle_eq_pi_div_two_of_oangle_eq_pi_div_two h
#align euclidean_geometry.angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two EuclideanGeometry.angle_rev_eq_pi_div_two_of_oangle_eq_pi_div_two
theorem angle_eq_pi_div_two_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(-π / 2)) : ∠ p₁ p₂ p₃ = π / 2 := by
rw [angle, ← InnerProductGeometry.inner_eq_zero_iff_angle_eq_pi_div_two]
exact o.inner_eq_zero_of_oangle_eq_neg_pi_div_two h
#align euclidean_geometry.angle_eq_pi_div_two_of_oangle_eq_neg_pi_div_two EuclideanGeometry.angle_eq_pi_div_two_of_oangle_eq_neg_pi_div_two
theorem angle_rev_eq_pi_div_two_of_oangle_eq_neg_pi_div_two {p₁ p₂ p₃ : P}
(h : ∡ p₁ p₂ p₃ = ↑(-π / 2)) : ∠ p₃ p₂ p₁ = π / 2 := by
rw [angle_comm]
exact angle_eq_pi_div_two_of_oangle_eq_neg_pi_div_two h
#align euclidean_geometry.angle_rev_eq_pi_div_two_of_oangle_eq_neg_pi_div_two EuclideanGeometry.angle_rev_eq_pi_div_two_of_oangle_eq_neg_pi_div_two
theorem oangle_swap₁₂_sign (p₁ p₂ p₃ : P) : -(∡ p₁ p₂ p₃).sign = (∡ p₂ p₁ p₃).sign := by
rw [eq_comm, oangle, oangle, ← o.oangle_neg_neg, neg_vsub_eq_vsub_rev, neg_vsub_eq_vsub_rev, ←
vsub_sub_vsub_cancel_left p₁ p₃ p₂, ← neg_vsub_eq_vsub_rev p₃ p₂, sub_eq_add_neg,
neg_vsub_eq_vsub_rev p₂ p₁, add_comm, ← @neg_one_smul ℝ]
nth_rw 2 [← one_smul ℝ (p₁ -ᵥ p₂)]
rw [o.oangle_sign_smul_add_smul_right]
simp
#align euclidean_geometry.oangle_swap₁₂_sign EuclideanGeometry.oangle_swap₁₂_sign
theorem oangle_swap₁₃_sign (p₁ p₂ p₃ : P) : -(∡ p₁ p₂ p₃).sign = (∡ p₃ p₂ p₁).sign := by
rw [oangle_rev, Real.Angle.sign_neg, neg_neg]
#align euclidean_geometry.oangle_swap₁₃_sign EuclideanGeometry.oangle_swap₁₃_sign
theorem oangle_swap₂₃_sign (p₁ p₂ p₃ : P) : -(∡ p₁ p₂ p₃).sign = (∡ p₁ p₃ p₂).sign := by
rw [oangle_swap₁₃_sign, ← oangle_swap₁₂_sign, oangle_swap₁₃_sign]
#align euclidean_geometry.oangle_swap₂₃_sign EuclideanGeometry.oangle_swap₂₃_sign
theorem oangle_rotate_sign (p₁ p₂ p₃ : P) : (∡ p₂ p₃ p₁).sign = (∡ p₁ p₂ p₃).sign := by
rw [← oangle_swap₁₂_sign, oangle_swap₁₃_sign]
#align euclidean_geometry.oangle_rotate_sign EuclideanGeometry.oangle_rotate_sign
theorem oangle_eq_pi_iff_sbtw {p₁ p₂ p₃ : P} : ∡ p₁ p₂ p₃ = π ↔ Sbtw ℝ p₁ p₂ p₃ := by
rw [oangle_eq_pi_iff_angle_eq_pi, angle_eq_pi_iff_sbtw]
#align euclidean_geometry.oangle_eq_pi_iff_sbtw EuclideanGeometry.oangle_eq_pi_iff_sbtw
theorem _root_.Sbtw.oangle₁₂₃_eq_pi {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₁ p₂ p₃ = π :=
oangle_eq_pi_iff_sbtw.2 h
#align sbtw.oangle₁₂₃_eq_pi Sbtw.oangle₁₂₃_eq_pi
theorem _root_.Sbtw.oangle₃₂₁_eq_pi {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₃ p₂ p₁ = π := by
rw [oangle_eq_pi_iff_oangle_rev_eq_pi, ← h.oangle₁₂₃_eq_pi]
#align sbtw.oangle₃₂₁_eq_pi Sbtw.oangle₃₂₁_eq_pi
theorem _root_.Wbtw.oangle₂₁₃_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₁ p₃ = 0 := by
by_cases hp₂p₁ : p₂ = p₁; · simp [hp₂p₁]
by_cases hp₃p₁ : p₃ = p₁; · simp [hp₃p₁]
rw [oangle_eq_zero_iff_angle_eq_zero hp₂p₁ hp₃p₁]
exact h.angle₂₁₃_eq_zero_of_ne hp₂p₁
#align wbtw.oangle₂₁₃_eq_zero Wbtw.oangle₂₁₃_eq_zero
theorem _root_.Sbtw.oangle₂₁₃_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₁ p₃ = 0 :=
h.wbtw.oangle₂₁₃_eq_zero
#align sbtw.oangle₂₁₃_eq_zero Sbtw.oangle₂₁₃_eq_zero
theorem _root_.Wbtw.oangle₃₁₂_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₃ p₁ p₂ = 0 := by
rw [oangle_eq_zero_iff_oangle_rev_eq_zero, h.oangle₂₁₃_eq_zero]
#align wbtw.oangle₃₁₂_eq_zero Wbtw.oangle₃₁₂_eq_zero
theorem _root_.Sbtw.oangle₃₁₂_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₃ p₁ p₂ = 0 :=
h.wbtw.oangle₃₁₂_eq_zero
#align sbtw.oangle₃₁₂_eq_zero Sbtw.oangle₃₁₂_eq_zero
theorem _root_.Wbtw.oangle₂₃₁_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₃ p₁ = 0 :=
h.symm.oangle₂₁₃_eq_zero
#align wbtw.oangle₂₃₁_eq_zero Wbtw.oangle₂₃₁_eq_zero
theorem _root_.Sbtw.oangle₂₃₁_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₂ p₃ p₁ = 0 :=
h.wbtw.oangle₂₃₁_eq_zero
#align sbtw.oangle₂₃₁_eq_zero Sbtw.oangle₂₃₁_eq_zero
theorem _root_.Wbtw.oangle₁₃₂_eq_zero {p₁ p₂ p₃ : P} (h : Wbtw ℝ p₁ p₂ p₃) : ∡ p₁ p₃ p₂ = 0 :=
h.symm.oangle₃₁₂_eq_zero
#align wbtw.oangle₁₃₂_eq_zero Wbtw.oangle₁₃₂_eq_zero
theorem _root_.Sbtw.oangle₁₃₂_eq_zero {p₁ p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₃) : ∡ p₁ p₃ p₂ = 0 :=
h.wbtw.oangle₁₃₂_eq_zero
#align sbtw.oangle₁₃₂_eq_zero Sbtw.oangle₁₃₂_eq_zero
theorem oangle_eq_zero_iff_wbtw {p₁ p₂ p₃ : P} :
∡ p₁ p₂ p₃ = 0 ↔ Wbtw ℝ p₂ p₁ p₃ ∨ Wbtw ℝ p₂ p₃ p₁ := by
by_cases hp₁p₂ : p₁ = p₂; · simp [hp₁p₂]
by_cases hp₃p₂ : p₃ = p₂; · simp [hp₃p₂]
rw [oangle_eq_zero_iff_angle_eq_zero hp₁p₂ hp₃p₂, angle_eq_zero_iff_ne_and_wbtw]
simp [hp₁p₂, hp₃p₂]
#align euclidean_geometry.oangle_eq_zero_iff_wbtw EuclideanGeometry.oangle_eq_zero_iff_wbtw
theorem _root_.Wbtw.oangle_eq_left {p₁ p₁' p₂ p₃ : P} (h : Wbtw ℝ p₂ p₁ p₁') (hp₁p₂ : p₁ ≠ p₂) :
∡ p₁ p₂ p₃ = ∡ p₁' p₂ p₃ := by
by_cases hp₃p₂ : p₃ = p₂; · simp [hp₃p₂]
by_cases hp₁'p₂ : p₁' = p₂; · rw [hp₁'p₂, wbtw_self_iff] at h; exact False.elim (hp₁p₂ h)
rw [← oangle_add hp₁'p₂ hp₁p₂ hp₃p₂, h.oangle₃₁₂_eq_zero, zero_add]
#align wbtw.oangle_eq_left Wbtw.oangle_eq_left
theorem _root_.Sbtw.oangle_eq_left {p₁ p₁' p₂ p₃ : P} (h : Sbtw ℝ p₂ p₁ p₁') :
∡ p₁ p₂ p₃ = ∡ p₁' p₂ p₃ :=
h.wbtw.oangle_eq_left h.ne_left
#align sbtw.oangle_eq_left Sbtw.oangle_eq_left
theorem _root_.Wbtw.oangle_eq_right {p₁ p₂ p₃ p₃' : P} (h : Wbtw ℝ p₂ p₃ p₃') (hp₃p₂ : p₃ ≠ p₂) :
∡ p₁ p₂ p₃ = ∡ p₁ p₂ p₃' := by rw [oangle_rev, h.oangle_eq_left hp₃p₂, ← oangle_rev]
#align wbtw.oangle_eq_right Wbtw.oangle_eq_right
theorem _root_.Sbtw.oangle_eq_right {p₁ p₂ p₃ p₃' : P} (h : Sbtw ℝ p₂ p₃ p₃') :
∡ p₁ p₂ p₃ = ∡ p₁ p₂ p₃' :=
h.wbtw.oangle_eq_right h.ne_left
#align sbtw.oangle_eq_right Sbtw.oangle_eq_right
@[simp]
theorem oangle_midpoint_left (p₁ p₂ p₃ : P) : ∡ (midpoint ℝ p₁ p₂) p₂ p₃ = ∡ p₁ p₂ p₃ := by
by_cases h : p₁ = p₂; · simp [h]
exact (sbtw_midpoint_of_ne ℝ h).symm.oangle_eq_left
#align euclidean_geometry.oangle_midpoint_left EuclideanGeometry.oangle_midpoint_left
@[simp]
theorem oangle_midpoint_rev_left (p₁ p₂ p₃ : P) : ∡ (midpoint ℝ p₂ p₁) p₂ p₃ = ∡ p₁ p₂ p₃ := by
rw [midpoint_comm, oangle_midpoint_left]
#align euclidean_geometry.oangle_midpoint_rev_left EuclideanGeometry.oangle_midpoint_rev_left
@[simp]
theorem oangle_midpoint_right (p₁ p₂ p₃ : P) : ∡ p₁ p₂ (midpoint ℝ p₃ p₂) = ∡ p₁ p₂ p₃ := by
by_cases h : p₃ = p₂; · simp [h]
exact (sbtw_midpoint_of_ne ℝ h).symm.oangle_eq_right
#align euclidean_geometry.oangle_midpoint_right EuclideanGeometry.oangle_midpoint_right
@[simp]
theorem oangle_midpoint_rev_right (p₁ p₂ p₃ : P) : ∡ p₁ p₂ (midpoint ℝ p₂ p₃) = ∡ p₁ p₂ p₃ := by
rw [midpoint_comm, oangle_midpoint_right]
#align euclidean_geometry.oangle_midpoint_rev_right EuclideanGeometry.oangle_midpoint_rev_right
theorem _root_.Sbtw.oangle_eq_add_pi_left
{p₁ p₁' p₂ p₃ : P} (h : Sbtw ℝ p₁ p₂ p₁') (hp₃p₂ : p₃ ≠ p₂) :
∡ p₁ p₂ p₃ = ∡ p₁' p₂ p₃ + π := by
rw [← h.oangle₁₂₃_eq_pi, oangle_add_swap h.left_ne h.right_ne hp₃p₂]
#align sbtw.oangle_eq_add_pi_left Sbtw.oangle_eq_add_pi_left
theorem _root_.Sbtw.oangle_eq_add_pi_right
{p₁ p₂ p₃ p₃' : P} (h : Sbtw ℝ p₃ p₂ p₃') (hp₁p₂ : p₁ ≠ p₂) :
∡ p₁ p₂ p₃ = ∡ p₁ p₂ p₃' + π := by
rw [← h.oangle₃₂₁_eq_pi, oangle_add hp₁p₂ h.right_ne h.left_ne]
#align sbtw.oangle_eq_add_pi_right Sbtw.oangle_eq_add_pi_right
theorem _root_.Sbtw.oangle_eq_left_right {p₁ p₁' p₂ p₃ p₃' : P} (h₁ : Sbtw ℝ p₁ p₂ p₁')
(h₃ : Sbtw ℝ p₃ p₂ p₃') : ∡ p₁ p₂ p₃ = ∡ p₁' p₂ p₃' := by
rw [h₁.oangle_eq_add_pi_left h₃.left_ne, h₃.oangle_eq_add_pi_right h₁.right_ne, add_assoc,
Real.Angle.coe_pi_add_coe_pi, add_zero]
#align sbtw.oangle_eq_left_right Sbtw.oangle_eq_left_right
theorem _root_.Collinear.two_zsmul_oangle_eq_left {p₁ p₁' p₂ p₃ : P}
(h : Collinear ℝ ({p₁, p₂, p₁'} : Set P)) (hp₁p₂ : p₁ ≠ p₂) (hp₁'p₂ : p₁' ≠ p₂) :
(2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₁' p₂ p₃ := by
by_cases hp₃p₂ : p₃ = p₂; · simp [hp₃p₂]
rcases h.wbtw_or_wbtw_or_wbtw with (hw | hw | hw)
· have hw' : Sbtw ℝ p₁ p₂ p₁' := ⟨hw, hp₁p₂.symm, hp₁'p₂.symm⟩
rw [hw'.oangle_eq_add_pi_left hp₃p₂, smul_add, Real.Angle.two_zsmul_coe_pi, add_zero]
· rw [hw.oangle_eq_left hp₁'p₂]
· rw [hw.symm.oangle_eq_left hp₁p₂]
#align collinear.two_zsmul_oangle_eq_left Collinear.two_zsmul_oangle_eq_left
theorem _root_.Collinear.two_zsmul_oangle_eq_right {p₁ p₂ p₃ p₃' : P}
(h : Collinear ℝ ({p₃, p₂, p₃'} : Set P)) (hp₃p₂ : p₃ ≠ p₂) (hp₃'p₂ : p₃' ≠ p₂) :
(2 : ℤ) • ∡ p₁ p₂ p₃ = (2 : ℤ) • ∡ p₁ p₂ p₃' := by
rw [oangle_rev, smul_neg, h.two_zsmul_oangle_eq_left hp₃p₂ hp₃'p₂, ← smul_neg, ← oangle_rev]
#align collinear.two_zsmul_oangle_eq_right Collinear.two_zsmul_oangle_eq_right
theorem dist_eq_iff_eq_smul_rotation_pi_div_two_vadd_midpoint {p₁ p₂ p : P} (h : p₁ ≠ p₂) :
dist p₁ p = dist p₂ p ↔
∃ r : ℝ, r • o.rotation (π / 2 : ℝ) (p₂ -ᵥ p₁) +ᵥ midpoint ℝ p₁ p₂ = p := by
refine ⟨fun hd => ?_, fun hr => ?_⟩
· have hi : ⟪p₂ -ᵥ p₁, p -ᵥ midpoint ℝ p₁ p₂⟫ = 0 := by
rw [@dist_eq_norm_vsub' V, @dist_eq_norm_vsub' V, ←
mul_self_inj (norm_nonneg _) (norm_nonneg _), ← real_inner_self_eq_norm_mul_norm, ←
real_inner_self_eq_norm_mul_norm] at hd
simp_rw [vsub_midpoint, ← vsub_sub_vsub_cancel_left p₂ p₁ p, inner_sub_left, inner_add_right,
inner_smul_right, hd, real_inner_comm (p -ᵥ p₁)]
abel
rw [@Orientation.inner_eq_zero_iff_eq_zero_or_eq_smul_rotation_pi_div_two V _ _ _ o,
or_iff_right (vsub_ne_zero.2 h.symm)] at hi
rcases hi with ⟨r, hr⟩
rw [eq_comm, ← eq_vadd_iff_vsub_eq] at hr
exact ⟨r, hr.symm⟩
· rcases hr with ⟨r, rfl⟩
simp_rw [@dist_eq_norm_vsub V, vsub_vadd_eq_vsub_sub, left_vsub_midpoint, right_vsub_midpoint,
invOf_eq_inv, ← neg_vsub_eq_vsub_rev p₂ p₁, ← mul_self_inj (norm_nonneg _) (norm_nonneg _), ←
real_inner_self_eq_norm_mul_norm, inner_sub_sub_self]
simp [-neg_vsub_eq_vsub_rev]
#align euclidean_geometry.dist_eq_iff_eq_smul_rotation_pi_div_two_vadd_midpoint EuclideanGeometry.dist_eq_iff_eq_smul_rotation_pi_div_two_vadd_midpoint
open AffineSubspace
theorem _root_.Collinear.oangle_sign_of_sameRay_vsub {p₁ p₂ p₃ p₄ : P} (p₅ : P) (hp₁p₂ : p₁ ≠ p₂)
(hp₃p₄ : p₃ ≠ p₄) (hc : Collinear ℝ ({p₁, p₂, p₃, p₄} : Set P))
(hr : SameRay ℝ (p₂ -ᵥ p₁) (p₄ -ᵥ p₃)) : (∡ p₁ p₅ p₂).sign = (∡ p₃ p₅ p₄).sign := by
by_cases hc₅₁₂ : Collinear ℝ ({p₅, p₁, p₂} : Set P)
· have hc₅₁₂₃₄ : Collinear ℝ ({p₅, p₁, p₂, p₃, p₄} : Set P) :=
(hc.collinear_insert_iff_of_ne (Set.mem_insert _ _)
(Set.mem_insert_of_mem _ (Set.mem_insert _ _)) hp₁p₂).2 hc₅₁₂
have hc₅₃₄ : Collinear ℝ ({p₅, p₃, p₄} : Set P) :=
(hc.collinear_insert_iff_of_ne
(Set.mem_insert_of_mem _ (Set.mem_insert_of_mem _ (Set.mem_insert _ _)))
(Set.mem_insert_of_mem _ (Set.mem_insert_of_mem _ (Set.mem_insert_of_mem _
(Set.mem_singleton _)))) hp₃p₄).1 hc₅₁₂₃₄
rw [Set.insert_comm] at hc₅₁₂ hc₅₃₄
have hs₁₅₂ := oangle_eq_zero_or_eq_pi_iff_collinear.2 hc₅₁₂
have hs₃₅₄ := oangle_eq_zero_or_eq_pi_iff_collinear.2 hc₅₃₄
rw [← Real.Angle.sign_eq_zero_iff] at hs₁₅₂ hs₃₅₄
rw [hs₁₅₂, hs₃₅₄]
· let s : Set (P × P × P) :=
(fun x : line[ℝ, p₁, p₂] × V => (x.1, p₅, x.2 +ᵥ (x.1 : P))) ''
Set.univ ×ˢ {v | SameRay ℝ (p₂ -ᵥ p₁) v ∧ v ≠ 0}
have hco : IsConnected s :=
haveI : ConnectedSpace line[ℝ, p₁, p₂] := AddTorsor.connectedSpace _ _
(isConnected_univ.prod (isConnected_setOf_sameRay_and_ne_zero
(vsub_ne_zero.2 hp₁p₂.symm))).image _
(continuous_fst.subtype_val.prod_mk (continuous_const.prod_mk
(continuous_snd.vadd continuous_fst.subtype_val))).continuousOn
have hf : ContinuousOn (fun p : P × P × P => ∡ p.1 p.2.1 p.2.2) s := by
refine ContinuousAt.continuousOn fun p hp => continuousAt_oangle ?_ ?_
all_goals
simp_rw [s, Set.mem_image, Set.mem_prod, Set.mem_univ, true_and_iff, Prod.ext_iff] at hp
obtain ⟨q₁, q₅, q₂⟩ := p
dsimp only at hp ⊢
obtain ⟨⟨⟨q, hq⟩, v⟩, hv, rfl, rfl, rfl⟩ := hp
dsimp only [Subtype.coe_mk, Set.mem_setOf] at hv ⊢
obtain ⟨hvr, -⟩ := hv
rintro rfl
refine hc₅₁₂ ((collinear_insert_iff_of_mem_affineSpan ?_).2 (collinear_pair _ _ _))
· exact hq
· refine vadd_mem_of_mem_direction ?_ hq
rw [← exists_nonneg_left_iff_sameRay (vsub_ne_zero.2 hp₁p₂.symm)] at hvr
obtain ⟨r, -, rfl⟩ := hvr
rw [direction_affineSpan]
exact smul_vsub_rev_mem_vectorSpan_pair _ _ _
have hsp : ∀ p : P × P × P, p ∈ s → ∡ p.1 p.2.1 p.2.2 ≠ 0 ∧ ∡ p.1 p.2.1 p.2.2 ≠ π := by
intro p hp
simp_rw [s, Set.mem_image, Set.mem_prod, Set.mem_setOf, Set.mem_univ, true_and_iff,
Prod.ext_iff] at hp
obtain ⟨q₁, q₅, q₂⟩ := p
dsimp only at hp ⊢
obtain ⟨⟨⟨q, hq⟩, v⟩, hv, rfl, rfl, rfl⟩ := hp
dsimp only [Subtype.coe_mk, Set.mem_setOf] at hv ⊢
obtain ⟨hvr, hv0⟩ := hv
rw [← exists_nonneg_left_iff_sameRay (vsub_ne_zero.2 hp₁p₂.symm)] at hvr
obtain ⟨r, -, rfl⟩ := hvr
change q ∈ line[ℝ, p₁, p₂] at hq
rw [oangle_ne_zero_and_ne_pi_iff_affineIndependent]
refine affineIndependent_of_ne_of_mem_of_not_mem_of_mem ?_ hq
(fun h => hc₅₁₂ ((collinear_insert_iff_of_mem_affineSpan h).2 (collinear_pair _ _ _))) ?_
· rwa [← @vsub_ne_zero V, vsub_vadd_eq_vsub_sub, vsub_self, zero_sub, neg_ne_zero]
· refine vadd_mem_of_mem_direction ?_ hq
rw [direction_affineSpan]
exact smul_vsub_rev_mem_vectorSpan_pair _ _ _
have hp₁p₂s : (p₁, p₅, p₂) ∈ s := by
simp_rw [s, Set.mem_image, Set.mem_prod, Set.mem_setOf, Set.mem_univ, true_and_iff,
Prod.ext_iff]
refine ⟨⟨⟨p₁, left_mem_affineSpan_pair ℝ _ _⟩, p₂ -ᵥ p₁⟩,
⟨SameRay.rfl, vsub_ne_zero.2 hp₁p₂.symm⟩, ?_⟩
simp
have hp₃p₄s : (p₃, p₅, p₄) ∈ s := by
simp_rw [s, Set.mem_image, Set.mem_prod, Set.mem_setOf, Set.mem_univ, true_and_iff,
Prod.ext_iff]
refine ⟨⟨⟨p₃, hc.mem_affineSpan_of_mem_of_ne (Set.mem_insert _ _)
(Set.mem_insert_of_mem _ (Set.mem_insert _ _))
(Set.mem_insert_of_mem _ (Set.mem_insert_of_mem _ (Set.mem_insert _ _))) hp₁p₂⟩, p₄ -ᵥ p₃⟩,
⟨hr, vsub_ne_zero.2 hp₃p₄.symm⟩, ?_⟩
simp
convert Real.Angle.sign_eq_of_continuousOn hco hf hsp hp₃p₄s hp₁p₂s
#align collinear.oangle_sign_of_same_ray_vsub Collinear.oangle_sign_of_sameRay_vsub
| Mathlib/Geometry/Euclidean/Angle/Oriented/Affine.lean | 768 | 771 | theorem _root_.Sbtw.oangle_sign_eq {p₁ p₂ p₃ : P} (p₄ : P) (h : Sbtw ℝ p₁ p₂ p₃) :
(∡ p₁ p₄ p₂).sign = (∡ p₂ p₄ p₃).sign :=
haveI hc : Collinear ℝ ({p₁, p₂, p₂, p₃} : Set P) := by | simpa using h.wbtw.collinear
hc.oangle_sign_of_sameRay_vsub _ h.left_ne h.ne_right h.wbtw.sameRay_vsub
|
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Nat.Factors
import Mathlib.Order.Interval.Finset.Nat
#align_import number_theory.divisors from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
open scoped Classical
open Finset
namespace Nat
variable (n : ℕ)
def divisors : Finset ℕ :=
Finset.filter (fun x : ℕ => x ∣ n) (Finset.Ico 1 (n + 1))
#align nat.divisors Nat.divisors
def properDivisors : Finset ℕ :=
Finset.filter (fun x : ℕ => x ∣ n) (Finset.Ico 1 n)
#align nat.proper_divisors Nat.properDivisors
def divisorsAntidiagonal : Finset (ℕ × ℕ) :=
Finset.filter (fun x => x.fst * x.snd = n) (Ico 1 (n + 1) ×ˢ Ico 1 (n + 1))
#align nat.divisors_antidiagonal Nat.divisorsAntidiagonal
variable {n}
@[simp]
theorem filter_dvd_eq_divisors (h : n ≠ 0) : (Finset.range n.succ).filter (· ∣ n) = n.divisors := by
ext
simp only [divisors, mem_filter, mem_range, mem_Ico, and_congr_left_iff, iff_and_self]
exact fun ha _ => succ_le_iff.mpr (pos_of_dvd_of_pos ha h.bot_lt)
#align nat.filter_dvd_eq_divisors Nat.filter_dvd_eq_divisors
@[simp]
theorem filter_dvd_eq_properDivisors (h : n ≠ 0) :
(Finset.range n).filter (· ∣ n) = n.properDivisors := by
ext
simp only [properDivisors, mem_filter, mem_range, mem_Ico, and_congr_left_iff, iff_and_self]
exact fun ha _ => succ_le_iff.mpr (pos_of_dvd_of_pos ha h.bot_lt)
#align nat.filter_dvd_eq_proper_divisors Nat.filter_dvd_eq_properDivisors
theorem properDivisors.not_self_mem : ¬n ∈ properDivisors n := by simp [properDivisors]
#align nat.proper_divisors.not_self_mem Nat.properDivisors.not_self_mem
@[simp]
theorem mem_properDivisors {m : ℕ} : n ∈ properDivisors m ↔ n ∣ m ∧ n < m := by
rcases eq_or_ne m 0 with (rfl | hm); · simp [properDivisors]
simp only [and_comm, ← filter_dvd_eq_properDivisors hm, mem_filter, mem_range]
#align nat.mem_proper_divisors Nat.mem_properDivisors
theorem insert_self_properDivisors (h : n ≠ 0) : insert n (properDivisors n) = divisors n := by
rw [divisors, properDivisors, Ico_succ_right_eq_insert_Ico (one_le_iff_ne_zero.2 h),
Finset.filter_insert, if_pos (dvd_refl n)]
#align nat.insert_self_proper_divisors Nat.insert_self_properDivisors
theorem cons_self_properDivisors (h : n ≠ 0) :
cons n (properDivisors n) properDivisors.not_self_mem = divisors n := by
rw [cons_eq_insert, insert_self_properDivisors h]
#align nat.cons_self_proper_divisors Nat.cons_self_properDivisors
@[simp]
theorem mem_divisors {m : ℕ} : n ∈ divisors m ↔ n ∣ m ∧ m ≠ 0 := by
rcases eq_or_ne m 0 with (rfl | hm); · simp [divisors]
simp only [hm, Ne, not_false_iff, and_true_iff, ← filter_dvd_eq_divisors hm, mem_filter,
mem_range, and_iff_right_iff_imp, Nat.lt_succ_iff]
exact le_of_dvd hm.bot_lt
#align nat.mem_divisors Nat.mem_divisors
theorem one_mem_divisors : 1 ∈ divisors n ↔ n ≠ 0 := by simp
#align nat.one_mem_divisors Nat.one_mem_divisors
theorem mem_divisors_self (n : ℕ) (h : n ≠ 0) : n ∈ n.divisors :=
mem_divisors.2 ⟨dvd_rfl, h⟩
#align nat.mem_divisors_self Nat.mem_divisors_self
theorem dvd_of_mem_divisors {m : ℕ} (h : n ∈ divisors m) : n ∣ m := by
cases m
· apply dvd_zero
· simp [mem_divisors.1 h]
#align nat.dvd_of_mem_divisors Nat.dvd_of_mem_divisors
@[simp]
theorem mem_divisorsAntidiagonal {x : ℕ × ℕ} :
x ∈ divisorsAntidiagonal n ↔ x.fst * x.snd = n ∧ n ≠ 0 := by
simp only [divisorsAntidiagonal, Finset.mem_Ico, Ne, Finset.mem_filter, Finset.mem_product]
rw [and_comm]
apply and_congr_right
rintro rfl
constructor <;> intro h
· contrapose! h
simp [h]
· rw [Nat.lt_add_one_iff, Nat.lt_add_one_iff]
rw [mul_eq_zero, not_or] at h
simp only [succ_le_of_lt (Nat.pos_of_ne_zero h.1), succ_le_of_lt (Nat.pos_of_ne_zero h.2),
true_and_iff]
exact
⟨Nat.le_mul_of_pos_right _ (Nat.pos_of_ne_zero h.2),
Nat.le_mul_of_pos_left _ (Nat.pos_of_ne_zero h.1)⟩
#align nat.mem_divisors_antidiagonal Nat.mem_divisorsAntidiagonal
lemma ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) :
p.1 ≠ 0 ∧ p.2 ≠ 0 := by
obtain ⟨hp₁, hp₂⟩ := Nat.mem_divisorsAntidiagonal.mp hp
exact mul_ne_zero_iff.mp (hp₁.symm ▸ hp₂)
lemma left_ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) :
p.1 ≠ 0 :=
(ne_zero_of_mem_divisorsAntidiagonal hp).1
lemma right_ne_zero_of_mem_divisorsAntidiagonal {p : ℕ × ℕ} (hp : p ∈ n.divisorsAntidiagonal) :
p.2 ≠ 0 :=
(ne_zero_of_mem_divisorsAntidiagonal hp).2
theorem divisor_le {m : ℕ} : n ∈ divisors m → n ≤ m := by
cases' m with m
· simp
· simp only [mem_divisors, Nat.succ_ne_zero m, and_true_iff, Ne, not_false_iff]
exact Nat.le_of_dvd (Nat.succ_pos m)
#align nat.divisor_le Nat.divisor_le
theorem divisors_subset_of_dvd {m : ℕ} (hzero : n ≠ 0) (h : m ∣ n) : divisors m ⊆ divisors n :=
Finset.subset_iff.2 fun _x hx => Nat.mem_divisors.mpr ⟨(Nat.mem_divisors.mp hx).1.trans h, hzero⟩
#align nat.divisors_subset_of_dvd Nat.divisors_subset_of_dvd
theorem divisors_subset_properDivisors {m : ℕ} (hzero : n ≠ 0) (h : m ∣ n) (hdiff : m ≠ n) :
divisors m ⊆ properDivisors n := by
apply Finset.subset_iff.2
intro x hx
exact
Nat.mem_properDivisors.2
⟨(Nat.mem_divisors.1 hx).1.trans h,
lt_of_le_of_lt (divisor_le hx)
(lt_of_le_of_ne (divisor_le (Nat.mem_divisors.2 ⟨h, hzero⟩)) hdiff)⟩
#align nat.divisors_subset_proper_divisors Nat.divisors_subset_properDivisors
lemma divisors_filter_dvd_of_dvd {n m : ℕ} (hn : n ≠ 0) (hm : m ∣ n) :
(n.divisors.filter (· ∣ m)) = m.divisors := by
ext k
simp_rw [mem_filter, mem_divisors]
exact ⟨fun ⟨_, hkm⟩ ↦ ⟨hkm, ne_zero_of_dvd_ne_zero hn hm⟩, fun ⟨hk, _⟩ ↦ ⟨⟨hk.trans hm, hn⟩, hk⟩⟩
@[simp]
theorem divisors_zero : divisors 0 = ∅ := by
ext
simp
#align nat.divisors_zero Nat.divisors_zero
@[simp]
theorem properDivisors_zero : properDivisors 0 = ∅ := by
ext
simp
#align nat.proper_divisors_zero Nat.properDivisors_zero
@[simp]
lemma nonempty_divisors : (divisors n).Nonempty ↔ n ≠ 0 :=
⟨fun ⟨m, hm⟩ hn ↦ by simp [hn] at hm, fun hn ↦ ⟨1, one_mem_divisors.2 hn⟩⟩
@[simp]
lemma divisors_eq_empty : divisors n = ∅ ↔ n = 0 :=
not_nonempty_iff_eq_empty.symm.trans nonempty_divisors.not_left
theorem properDivisors_subset_divisors : properDivisors n ⊆ divisors n :=
filter_subset_filter _ <| Ico_subset_Ico_right n.le_succ
#align nat.proper_divisors_subset_divisors Nat.properDivisors_subset_divisors
@[simp]
theorem divisors_one : divisors 1 = {1} := by
ext
simp
#align nat.divisors_one Nat.divisors_one
@[simp]
theorem properDivisors_one : properDivisors 1 = ∅ := by rw [properDivisors, Ico_self, filter_empty]
#align nat.proper_divisors_one Nat.properDivisors_one
theorem pos_of_mem_divisors {m : ℕ} (h : m ∈ n.divisors) : 0 < m := by
cases m
· rw [mem_divisors, zero_dvd_iff (a := n)] at h
cases h.2 h.1
apply Nat.succ_pos
#align nat.pos_of_mem_divisors Nat.pos_of_mem_divisors
theorem pos_of_mem_properDivisors {m : ℕ} (h : m ∈ n.properDivisors) : 0 < m :=
pos_of_mem_divisors (properDivisors_subset_divisors h)
#align nat.pos_of_mem_proper_divisors Nat.pos_of_mem_properDivisors
theorem one_mem_properDivisors_iff_one_lt : 1 ∈ n.properDivisors ↔ 1 < n := by
rw [mem_properDivisors, and_iff_right (one_dvd _)]
#align nat.one_mem_proper_divisors_iff_one_lt Nat.one_mem_properDivisors_iff_one_lt
@[simp]
lemma sup_divisors_id (n : ℕ) : n.divisors.sup id = n := by
refine le_antisymm (Finset.sup_le fun _ ↦ divisor_le) ?_
rcases Decidable.eq_or_ne n 0 with rfl | hn
· apply zero_le
· exact Finset.le_sup (f := id) <| mem_divisors_self n hn
lemma one_lt_of_mem_properDivisors {m n : ℕ} (h : m ∈ n.properDivisors) : 1 < n :=
lt_of_le_of_lt (pos_of_mem_properDivisors h) (mem_properDivisors.1 h).2
lemma one_lt_div_of_mem_properDivisors {m n : ℕ} (h : m ∈ n.properDivisors) :
1 < n / m := by
obtain ⟨h_dvd, h_lt⟩ := mem_properDivisors.mp h
rwa [Nat.lt_div_iff_mul_lt h_dvd, mul_one]
lemma mem_properDivisors_iff_exists {m n : ℕ} (hn : n ≠ 0) :
m ∈ n.properDivisors ↔ ∃ k > 1, n = m * k := by
refine ⟨fun h ↦ ⟨n / m, one_lt_div_of_mem_properDivisors h, ?_⟩, ?_⟩
· exact (Nat.mul_div_cancel' (mem_properDivisors.mp h).1).symm
· rintro ⟨k, hk, rfl⟩
rw [mul_ne_zero_iff] at hn
exact mem_properDivisors.mpr ⟨⟨k, rfl⟩, lt_mul_of_one_lt_right (Nat.pos_of_ne_zero hn.1) hk⟩
@[simp]
lemma nonempty_properDivisors : n.properDivisors.Nonempty ↔ 1 < n :=
⟨fun ⟨_m, hm⟩ ↦ one_lt_of_mem_properDivisors hm, fun hn ↦
⟨1, one_mem_properDivisors_iff_one_lt.2 hn⟩⟩
@[simp]
lemma properDivisors_eq_empty : n.properDivisors = ∅ ↔ n ≤ 1 := by
rw [← not_nonempty_iff_eq_empty, nonempty_properDivisors, not_lt]
@[simp]
theorem divisorsAntidiagonal_zero : divisorsAntidiagonal 0 = ∅ := by
ext
simp
#align nat.divisors_antidiagonal_zero Nat.divisorsAntidiagonal_zero
@[simp]
theorem divisorsAntidiagonal_one : divisorsAntidiagonal 1 = {(1, 1)} := by
ext
simp [mul_eq_one, Prod.ext_iff]
#align nat.divisors_antidiagonal_one Nat.divisorsAntidiagonal_one
-- @[simp]
| Mathlib/NumberTheory/Divisors.lean | 275 | 277 | theorem swap_mem_divisorsAntidiagonal {x : ℕ × ℕ} :
x.swap ∈ divisorsAntidiagonal n ↔ x ∈ divisorsAntidiagonal n := by |
rw [mem_divisorsAntidiagonal, mem_divisorsAntidiagonal, mul_comm, Prod.swap]
|
import Mathlib.Logic.Nonempty
import Mathlib.Init.Set
import Mathlib.Logic.Basic
#align_import logic.function.basic from "leanprover-community/mathlib"@"29cb56a7b35f72758b05a30490e1f10bd62c35c1"
open Function
universe u v w
namespace Function
section
variable {α β γ : Sort*} {f : α → β}
@[reducible, simp] def eval {β : α → Sort*} (x : α) (f : ∀ x, β x) : β x := f x
#align function.eval Function.eval
theorem eval_apply {β : α → Sort*} (x : α) (f : ∀ x, β x) : eval x f = f x :=
rfl
#align function.eval_apply Function.eval_apply
theorem const_def {y : β} : (fun _ : α ↦ y) = const α y :=
rfl
#align function.const_def Function.const_def
theorem const_injective [Nonempty α] : Injective (const α : β → α → β) := fun y₁ y₂ h ↦
let ⟨x⟩ := ‹Nonempty α›
congr_fun h x
#align function.const_injective Function.const_injective
@[simp]
theorem const_inj [Nonempty α] {y₁ y₂ : β} : const α y₁ = const α y₂ ↔ y₁ = y₂ :=
⟨fun h ↦ const_injective h, fun h ↦ h ▸ rfl⟩
#align function.const_inj Function.const_inj
#align function.id_def Function.id_def
-- Porting note: `Function.onFun` is now reducible
-- @[simp]
theorem onFun_apply (f : β → β → γ) (g : α → β) (a b : α) : onFun f g a b = f (g a) (g b) :=
rfl
#align function.on_fun_apply Function.onFun_apply
lemma hfunext {α α' : Sort u} {β : α → Sort v} {β' : α' → Sort v} {f : ∀a, β a} {f' : ∀a, β' a}
(hα : α = α') (h : ∀a a', HEq a a' → HEq (f a) (f' a')) : HEq f f' := by
subst hα
have : ∀a, HEq (f a) (f' a) := fun a ↦ h a a (HEq.refl a)
have : β = β' := by funext a; exact type_eq_of_heq (this a)
subst this
apply heq_of_eq
funext a
exact eq_of_heq (this a)
#align function.hfunext Function.hfunext
#align function.funext_iff Function.funext_iff
theorem ne_iff {β : α → Sort*} {f₁ f₂ : ∀ a, β a} : f₁ ≠ f₂ ↔ ∃ a, f₁ a ≠ f₂ a :=
funext_iff.not.trans not_forall
#align function.ne_iff Function.ne_iff
lemma funext_iff_of_subsingleton [Subsingleton α] {g : α → β} (x y : α) :
f x = g y ↔ f = g := by
refine ⟨fun h ↦ funext fun z ↦ ?_, fun h ↦ ?_⟩
· rwa [Subsingleton.elim x z, Subsingleton.elim y z] at h
· rw [h, Subsingleton.elim x y]
protected theorem Bijective.injective {f : α → β} (hf : Bijective f) : Injective f := hf.1
#align function.bijective.injective Function.Bijective.injective
protected theorem Bijective.surjective {f : α → β} (hf : Bijective f) : Surjective f := hf.2
#align function.bijective.surjective Function.Bijective.surjective
theorem Injective.eq_iff (I : Injective f) {a b : α} : f a = f b ↔ a = b :=
⟨@I _ _, congr_arg f⟩
#align function.injective.eq_iff Function.Injective.eq_iff
theorem Injective.beq_eq {α β : Type*} [BEq α] [LawfulBEq α] [BEq β] [LawfulBEq β] {f : α → β}
(I : Injective f) {a b : α} : (f a == f b) = (a == b) := by
by_cases h : a == b <;> simp [h] <;> simpa [I.eq_iff] using h
theorem Injective.eq_iff' (I : Injective f) {a b : α} {c : β} (h : f b = c) : f a = c ↔ a = b :=
h ▸ I.eq_iff
#align function.injective.eq_iff' Function.Injective.eq_iff'
theorem Injective.ne (hf : Injective f) {a₁ a₂ : α} : a₁ ≠ a₂ → f a₁ ≠ f a₂ :=
mt fun h ↦ hf h
#align function.injective.ne Function.Injective.ne
theorem Injective.ne_iff (hf : Injective f) {x y : α} : f x ≠ f y ↔ x ≠ y :=
⟨mt <| congr_arg f, hf.ne⟩
#align function.injective.ne_iff Function.Injective.ne_iff
theorem Injective.ne_iff' (hf : Injective f) {x y : α} {z : β} (h : f y = z) : f x ≠ z ↔ x ≠ y :=
h ▸ hf.ne_iff
#align function.injective.ne_iff' Function.Injective.ne_iff'
theorem not_injective_iff : ¬ Injective f ↔ ∃ a b, f a = f b ∧ a ≠ b := by
simp only [Injective, not_forall, exists_prop]
protected def Injective.decidableEq [DecidableEq β] (I : Injective f) : DecidableEq α :=
fun _ _ ↦ decidable_of_iff _ I.eq_iff
#align function.injective.decidable_eq Function.Injective.decidableEq
theorem Injective.of_comp {g : γ → α} (I : Injective (f ∘ g)) : Injective g :=
fun _ _ h ↦ I <| congr_arg f h
#align function.injective.of_comp Function.Injective.of_comp
@[simp]
theorem Injective.of_comp_iff (hf : Injective f) (g : γ → α) :
Injective (f ∘ g) ↔ Injective g :=
⟨Injective.of_comp, hf.comp⟩
#align function.injective.of_comp_iff Function.Injective.of_comp_iff
theorem Injective.of_comp_right {g : γ → α} (I : Injective (f ∘ g)) (hg : Surjective g) :
Injective f := fun x y h ↦ by
obtain ⟨x, rfl⟩ := hg x
obtain ⟨y, rfl⟩ := hg y
exact congr_arg g (I h)
theorem Surjective.bijective₂_of_injective {g : γ → α} (hf : Surjective f) (hg : Surjective g)
(I : Injective (f ∘ g)) : Bijective f ∧ Bijective g :=
⟨⟨I.of_comp_right hg, hf⟩, I.of_comp, hg⟩
@[simp]
theorem Injective.of_comp_iff' (f : α → β) {g : γ → α} (hg : Bijective g) :
Injective (f ∘ g) ↔ Injective f :=
⟨fun I ↦ I.of_comp_right hg.2, fun h ↦ h.comp hg.injective⟩
#align function.injective.of_comp_iff' Function.Injective.of_comp_iff'
theorem Injective.comp_left {g : β → γ} (hg : Function.Injective g) :
Function.Injective (g ∘ · : (α → β) → α → γ) :=
fun _ _ hgf ↦ funext fun i ↦ hg <| (congr_fun hgf i : _)
#align function.injective.comp_left Function.Injective.comp_left
theorem injective_of_subsingleton [Subsingleton α] (f : α → β) : Injective f :=
fun _ _ _ ↦ Subsingleton.elim _ _
#align function.injective_of_subsingleton Function.injective_of_subsingleton
lemma Injective.dite (p : α → Prop) [DecidablePred p]
{f : {a : α // p a} → β} {f' : {a : α // ¬ p a} → β}
(hf : Injective f) (hf' : Injective f')
(im_disj : ∀ {x x' : α} {hx : p x} {hx' : ¬ p x'}, f ⟨x, hx⟩ ≠ f' ⟨x', hx'⟩) :
Function.Injective (fun x ↦ if h : p x then f ⟨x, h⟩ else f' ⟨x, h⟩) := fun x₁ x₂ h => by
dsimp only at h
by_cases h₁ : p x₁ <;> by_cases h₂ : p x₂
· rw [dif_pos h₁, dif_pos h₂] at h; injection (hf h)
· rw [dif_pos h₁, dif_neg h₂] at h; exact (im_disj h).elim
· rw [dif_neg h₁, dif_pos h₂] at h; exact (im_disj h.symm).elim
· rw [dif_neg h₁, dif_neg h₂] at h; injection (hf' h)
#align function.injective.dite Function.Injective.dite
theorem Surjective.of_comp {g : γ → α} (S : Surjective (f ∘ g)) : Surjective f := fun y ↦
let ⟨x, h⟩ := S y
⟨g x, h⟩
#align function.surjective.of_comp Function.Surjective.of_comp
@[simp]
theorem Surjective.of_comp_iff (f : α → β) {g : γ → α} (hg : Surjective g) :
Surjective (f ∘ g) ↔ Surjective f :=
⟨Surjective.of_comp, fun h ↦ h.comp hg⟩
#align function.surjective.of_comp_iff Function.Surjective.of_comp_iff
theorem Surjective.of_comp_left {g : γ → α} (S : Surjective (f ∘ g)) (hf : Injective f) :
Surjective g := fun a ↦ let ⟨c, hc⟩ := S (f a); ⟨c, hf hc⟩
theorem Injective.bijective₂_of_surjective {g : γ → α} (hf : Injective f) (hg : Injective g)
(S : Surjective (f ∘ g)) : Bijective f ∧ Bijective g :=
⟨⟨hf, S.of_comp⟩, hg, S.of_comp_left hf⟩
@[simp]
theorem Surjective.of_comp_iff' (hf : Bijective f) (g : γ → α) :
Surjective (f ∘ g) ↔ Surjective g :=
⟨fun S ↦ S.of_comp_left hf.1, hf.surjective.comp⟩
#align function.surjective.of_comp_iff' Function.Surjective.of_comp_iff'
instance decidableEqPFun (p : Prop) [Decidable p] (α : p → Type*) [∀ hp, DecidableEq (α hp)] :
DecidableEq (∀ hp, α hp)
| f, g => decidable_of_iff (∀ hp, f hp = g hp) funext_iff.symm
protected theorem Surjective.forall (hf : Surjective f) {p : β → Prop} :
(∀ y, p y) ↔ ∀ x, p (f x) :=
⟨fun h x ↦ h (f x), fun h y ↦
let ⟨x, hx⟩ := hf y
hx ▸ h x⟩
#align function.surjective.forall Function.Surjective.forall
protected theorem Surjective.forall₂ (hf : Surjective f) {p : β → β → Prop} :
(∀ y₁ y₂, p y₁ y₂) ↔ ∀ x₁ x₂, p (f x₁) (f x₂) :=
hf.forall.trans <| forall_congr' fun _ ↦ hf.forall
#align function.surjective.forall₂ Function.Surjective.forall₂
protected theorem Surjective.forall₃ (hf : Surjective f) {p : β → β → β → Prop} :
(∀ y₁ y₂ y₃, p y₁ y₂ y₃) ↔ ∀ x₁ x₂ x₃, p (f x₁) (f x₂) (f x₃) :=
hf.forall.trans <| forall_congr' fun _ ↦ hf.forall₂
#align function.surjective.forall₃ Function.Surjective.forall₃
protected theorem Surjective.exists (hf : Surjective f) {p : β → Prop} :
(∃ y, p y) ↔ ∃ x, p (f x) :=
⟨fun ⟨y, hy⟩ ↦
let ⟨x, hx⟩ := hf y
⟨x, hx.symm ▸ hy⟩,
fun ⟨x, hx⟩ ↦ ⟨f x, hx⟩⟩
#align function.surjective.exists Function.Surjective.exists
protected theorem Surjective.exists₂ (hf : Surjective f) {p : β → β → Prop} :
(∃ y₁ y₂, p y₁ y₂) ↔ ∃ x₁ x₂, p (f x₁) (f x₂) :=
hf.exists.trans <| exists_congr fun _ ↦ hf.exists
#align function.surjective.exists₂ Function.Surjective.exists₂
protected theorem Surjective.exists₃ (hf : Surjective f) {p : β → β → β → Prop} :
(∃ y₁ y₂ y₃, p y₁ y₂ y₃) ↔ ∃ x₁ x₂ x₃, p (f x₁) (f x₂) (f x₃) :=
hf.exists.trans <| exists_congr fun _ ↦ hf.exists₂
#align function.surjective.exists₃ Function.Surjective.exists₃
theorem Surjective.injective_comp_right (hf : Surjective f) : Injective fun g : β → γ ↦ g ∘ f :=
fun _ _ h ↦ funext <| hf.forall.2 <| congr_fun h
#align function.surjective.injective_comp_right Function.Surjective.injective_comp_right
protected theorem Surjective.right_cancellable (hf : Surjective f) {g₁ g₂ : β → γ} :
g₁ ∘ f = g₂ ∘ f ↔ g₁ = g₂ :=
hf.injective_comp_right.eq_iff
#align function.surjective.right_cancellable Function.Surjective.right_cancellable
theorem surjective_of_right_cancellable_Prop (h : ∀ g₁ g₂ : β → Prop, g₁ ∘ f = g₂ ∘ f → g₁ = g₂) :
Surjective f := by
specialize h (fun y ↦ ∃ x, f x = y) (fun _ ↦ True) (funext fun x ↦ eq_true ⟨_, rfl⟩)
intro y; rw [congr_fun h y]; trivial
#align function.surjective_of_right_cancellable_Prop Function.surjective_of_right_cancellable_Prop
theorem bijective_iff_existsUnique (f : α → β) : Bijective f ↔ ∀ b : β, ∃! a : α, f a = b :=
⟨fun hf b ↦
let ⟨a, ha⟩ := hf.surjective b
⟨a, ha, fun _ ha' ↦ hf.injective (ha'.trans ha.symm)⟩,
fun he ↦ ⟨fun {_a a'} h ↦ (he (f a')).unique h rfl, fun b ↦ (he b).exists⟩⟩
#align function.bijective_iff_exists_unique Function.bijective_iff_existsUnique
protected theorem Bijective.existsUnique {f : α → β} (hf : Bijective f) (b : β) :
∃! a : α, f a = b :=
(bijective_iff_existsUnique f).mp hf b
#align function.bijective.exists_unique Function.Bijective.existsUnique
theorem Bijective.existsUnique_iff {f : α → β} (hf : Bijective f) {p : β → Prop} :
(∃! y, p y) ↔ ∃! x, p (f x) :=
⟨fun ⟨y, hpy, hy⟩ ↦
let ⟨x, hx⟩ := hf.surjective y
⟨x, by simpa [hx], fun z (hz : p (f z)) ↦ hf.injective <| hx.symm ▸ hy _ hz⟩,
fun ⟨x, hpx, hx⟩ ↦
⟨f x, hpx, fun y hy ↦
let ⟨z, hz⟩ := hf.surjective y
hz ▸ congr_arg f (hx _ (by simpa [hz]))⟩⟩
#align function.bijective.exists_unique_iff Function.Bijective.existsUnique_iff
theorem Bijective.of_comp_iff (f : α → β) {g : γ → α} (hg : Bijective g) :
Bijective (f ∘ g) ↔ Bijective f :=
and_congr (Injective.of_comp_iff' _ hg) (Surjective.of_comp_iff _ hg.surjective)
#align function.bijective.of_comp_iff Function.Bijective.of_comp_iff
theorem Bijective.of_comp_iff' {f : α → β} (hf : Bijective f) (g : γ → α) :
Function.Bijective (f ∘ g) ↔ Function.Bijective g :=
and_congr (Injective.of_comp_iff hf.injective _) (Surjective.of_comp_iff' hf _)
#align function.bijective.of_comp_iff' Function.Bijective.of_comp_iff'
theorem cantor_surjective {α} (f : α → Set α) : ¬Surjective f
| h => let ⟨D, e⟩ := h {a | ¬ f a a}
@iff_not_self (D ∈ f D) <| iff_of_eq <| congr_arg (D ∈ ·) e
#align function.cantor_surjective Function.cantor_surjective
theorem cantor_injective {α : Type*} (f : Set α → α) : ¬Injective f
| i => cantor_surjective (fun a ↦ {b | ∀ U, a = f U → U b}) <|
RightInverse.surjective (fun U ↦ Set.ext fun _ ↦ ⟨fun h ↦ h U rfl, fun h _ e ↦ i e ▸ h⟩)
#align function.cantor_injective Function.cantor_injective
theorem not_surjective_Type {α : Type u} (f : α → Type max u v) : ¬Surjective f := by
intro hf
let T : Type max u v := Sigma f
cases hf (Set T) with | intro U hU =>
let g : Set T → T := fun s ↦ ⟨U, cast hU.symm s⟩
have hg : Injective g := by
intro s t h
suffices cast hU (g s).2 = cast hU (g t).2 by
simp only [cast_cast, cast_eq] at this
assumption
· congr
exact cantor_injective g hg
#align function.not_surjective_Type Function.not_surjective_Type
def IsPartialInv {α β} (f : α → β) (g : β → Option α) : Prop :=
∀ x y, g y = some x ↔ f x = y
#align function.is_partial_inv Function.IsPartialInv
theorem isPartialInv_left {α β} {f : α → β} {g} (H : IsPartialInv f g) (x) : g (f x) = some x :=
(H _ _).2 rfl
#align function.is_partial_inv_left Function.isPartialInv_left
theorem injective_of_isPartialInv {α β} {f : α → β} {g} (H : IsPartialInv f g) :
Injective f := fun _ _ h ↦
Option.some.inj <| ((H _ _).2 h).symm.trans ((H _ _).2 rfl)
#align function.injective_of_partial_inv Function.injective_of_isPartialInv
theorem injective_of_isPartialInv_right {α β} {f : α → β} {g} (H : IsPartialInv f g) (x y b)
(h₁ : b ∈ g x) (h₂ : b ∈ g y) : x = y :=
((H _ _).1 h₁).symm.trans ((H _ _).1 h₂)
#align function.injective_of_partial_inv_right Function.injective_of_isPartialInv_right
theorem LeftInverse.comp_eq_id {f : α → β} {g : β → α} (h : LeftInverse f g) : f ∘ g = id :=
funext h
#align function.left_inverse.comp_eq_id Function.LeftInverse.comp_eq_id
theorem leftInverse_iff_comp {f : α → β} {g : β → α} : LeftInverse f g ↔ f ∘ g = id :=
⟨LeftInverse.comp_eq_id, congr_fun⟩
#align function.left_inverse_iff_comp Function.leftInverse_iff_comp
theorem RightInverse.comp_eq_id {f : α → β} {g : β → α} (h : RightInverse f g) : g ∘ f = id :=
funext h
#align function.right_inverse.comp_eq_id Function.RightInverse.comp_eq_id
theorem rightInverse_iff_comp {f : α → β} {g : β → α} : RightInverse f g ↔ g ∘ f = id :=
⟨RightInverse.comp_eq_id, congr_fun⟩
#align function.right_inverse_iff_comp Function.rightInverse_iff_comp
theorem LeftInverse.comp {f : α → β} {g : β → α} {h : β → γ} {i : γ → β} (hf : LeftInverse f g)
(hh : LeftInverse h i) : LeftInverse (h ∘ f) (g ∘ i) :=
fun a ↦ show h (f (g (i a))) = a by rw [hf (i a), hh a]
#align function.left_inverse.comp Function.LeftInverse.comp
theorem RightInverse.comp {f : α → β} {g : β → α} {h : β → γ} {i : γ → β} (hf : RightInverse f g)
(hh : RightInverse h i) : RightInverse (h ∘ f) (g ∘ i) :=
LeftInverse.comp hh hf
#align function.right_inverse.comp Function.RightInverse.comp
theorem LeftInverse.rightInverse {f : α → β} {g : β → α} (h : LeftInverse g f) : RightInverse f g :=
h
#align function.left_inverse.right_inverse Function.LeftInverse.rightInverse
theorem RightInverse.leftInverse {f : α → β} {g : β → α} (h : RightInverse g f) : LeftInverse f g :=
h
#align function.right_inverse.left_inverse Function.RightInverse.leftInverse
theorem LeftInverse.surjective {f : α → β} {g : β → α} (h : LeftInverse f g) : Surjective f :=
h.rightInverse.surjective
#align function.left_inverse.surjective Function.LeftInverse.surjective
theorem RightInverse.injective {f : α → β} {g : β → α} (h : RightInverse f g) : Injective f :=
h.leftInverse.injective
#align function.right_inverse.injective Function.RightInverse.injective
theorem LeftInverse.rightInverse_of_injective {f : α → β} {g : β → α} (h : LeftInverse f g)
(hf : Injective f) : RightInverse f g :=
fun x ↦ hf <| h (f x)
#align function.left_inverse.right_inverse_of_injective Function.LeftInverse.rightInverse_of_injective
theorem LeftInverse.rightInverse_of_surjective {f : α → β} {g : β → α} (h : LeftInverse f g)
(hg : Surjective g) : RightInverse f g :=
fun x ↦ let ⟨y, hy⟩ := hg x; hy ▸ congr_arg g (h y)
#align function.left_inverse.right_inverse_of_surjective Function.LeftInverse.rightInverse_of_surjective
theorem RightInverse.leftInverse_of_surjective {f : α → β} {g : β → α} :
RightInverse f g → Surjective f → LeftInverse f g :=
LeftInverse.rightInverse_of_surjective
#align function.right_inverse.left_inverse_of_surjective Function.RightInverse.leftInverse_of_surjective
theorem RightInverse.leftInverse_of_injective {f : α → β} {g : β → α} :
RightInverse f g → Injective g → LeftInverse f g :=
LeftInverse.rightInverse_of_injective
#align function.right_inverse.left_inverse_of_injective Function.RightInverse.leftInverse_of_injective
theorem LeftInverse.eq_rightInverse {f : α → β} {g₁ g₂ : β → α} (h₁ : LeftInverse g₁ f)
(h₂ : RightInverse g₂ f) : g₁ = g₂ :=
calc
g₁ = g₁ ∘ f ∘ g₂ := by rw [h₂.comp_eq_id, comp_id]
_ = g₂ := by rw [← comp.assoc, h₁.comp_eq_id, id_comp]
#align function.left_inverse.eq_right_inverse Function.LeftInverse.eq_rightInverse
attribute [local instance] Classical.propDecidable
noncomputable def partialInv {α β} (f : α → β) (b : β) : Option α :=
if h : ∃ a, f a = b then some (Classical.choose h) else none
#align function.partial_inv Function.partialInv
theorem partialInv_of_injective {α β} {f : α → β} (I : Injective f) : IsPartialInv f (partialInv f)
| a, b =>
⟨fun h =>
have hpi : partialInv f b = if h : ∃ a, f a = b then some (Classical.choose h) else none :=
rfl
if h' : ∃ a, f a = b
then by rw [hpi, dif_pos h'] at h
injection h with h
subst h
apply Classical.choose_spec h'
else by rw [hpi, dif_neg h'] at h; contradiction,
fun e => e ▸ have h : ∃ a', f a' = f a := ⟨_, rfl⟩
(dif_pos h).trans (congr_arg _ (I <| Classical.choose_spec h))⟩
#align function.partial_inv_of_injective Function.partialInv_of_injective
theorem partialInv_left {α β} {f : α → β} (I : Injective f) : ∀ x, partialInv f (f x) = some x :=
isPartialInv_left (partialInv_of_injective I)
#align function.partial_inv_left Function.partialInv_left
end
section Update
variable {α : Sort u} {β : α → Sort v} {α' : Sort w} [DecidableEq α] [DecidableEq α']
{f g : (a : α) → β a} {a : α} {b : β a}
def update (f : ∀ a, β a) (a' : α) (v : β a') (a : α) : β a :=
if h : a = a' then Eq.ndrec v h.symm else f a
#align function.update Function.update
@[simp]
theorem update_same (a : α) (v : β a) (f : ∀ a, β a) : update f a v a = v :=
dif_pos rfl
#align function.update_same Function.update_same
@[simp]
theorem update_noteq {a a' : α} (h : a ≠ a') (v : β a') (f : ∀ a, β a) : update f a' v a = f a :=
dif_neg h
#align function.update_noteq Function.update_noteq
theorem update_apply {β : Sort*} (f : α → β) (a' : α) (b : β) (a : α) :
update f a' b a = if a = a' then b else f a := by
rcases Decidable.eq_or_ne a a' with rfl | hne <;> simp [*]
#align function.update_apply Function.update_apply
@[nontriviality]
theorem update_eq_const_of_subsingleton [Subsingleton α] (a : α) (v : α') (f : α → α') :
update f a v = const α v :=
funext fun a' ↦ Subsingleton.elim a a' ▸ update_same _ _ _
theorem surjective_eval {α : Sort u} {β : α → Sort v} [h : ∀ a, Nonempty (β a)] (a : α) :
Surjective (eval a : (∀ a, β a) → β a) := fun b ↦
⟨@update _ _ (Classical.decEq α) (fun a ↦ (h a).some) a b,
@update_same _ _ (Classical.decEq α) _ _ _⟩
#align function.surjective_eval Function.surjective_eval
theorem update_injective (f : ∀ a, β a) (a' : α) : Injective (update f a') := fun v v' h ↦ by
have := congr_fun h a'
rwa [update_same, update_same] at this
#align function.update_injective Function.update_injective
lemma forall_update_iff (f : ∀a, β a) {a : α} {b : β a} (p : ∀a, β a → Prop) :
(∀ x, p x (update f a b x)) ↔ p a b ∧ ∀ x, x ≠ a → p x (f x) := by
rw [← and_forall_ne a, update_same]
simp (config := { contextual := true })
#align function.forall_update_iff Function.forall_update_iff
theorem exists_update_iff (f : ∀ a, β a) {a : α} {b : β a} (p : ∀ a, β a → Prop) :
(∃ x, p x (update f a b x)) ↔ p a b ∨ ∃ x ≠ a, p x (f x) := by
rw [← not_forall_not, forall_update_iff f fun a b ↦ ¬p a b]
simp [-not_and, not_and_or]
#align function.exists_update_iff Function.exists_update_iff
theorem update_eq_iff {a : α} {b : β a} {f g : ∀ a, β a} :
update f a b = g ↔ b = g a ∧ ∀ x ≠ a, f x = g x :=
funext_iff.trans <| forall_update_iff _ fun x y ↦ y = g x
#align function.update_eq_iff Function.update_eq_iff
theorem eq_update_iff {a : α} {b : β a} {f g : ∀ a, β a} :
g = update f a b ↔ g a = b ∧ ∀ x ≠ a, g x = f x :=
funext_iff.trans <| forall_update_iff _ fun x y ↦ g x = y
#align function.eq_update_iff Function.eq_update_iff
@[simp] lemma update_eq_self_iff : update f a b = f ↔ b = f a := by simp [update_eq_iff]
#align function.update_eq_self_iff Function.update_eq_self_iff
@[simp] lemma eq_update_self_iff : f = update f a b ↔ f a = b := by simp [eq_update_iff]
#align function.eq_update_self_iff Function.eq_update_self_iff
lemma ne_update_self_iff : f ≠ update f a b ↔ f a ≠ b := eq_update_self_iff.not
#align function.ne_update_self_iff Function.ne_update_self_iff
lemma update_ne_self_iff : update f a b ≠ f ↔ b ≠ f a := update_eq_self_iff.not
#align function.update_ne_self_iff Function.update_ne_self_iff
@[simp]
theorem update_eq_self (a : α) (f : ∀ a, β a) : update f a (f a) = f :=
update_eq_iff.2 ⟨rfl, fun _ _ ↦ rfl⟩
#align function.update_eq_self Function.update_eq_self
theorem update_comp_eq_of_forall_ne' {α'} (g : ∀ a, β a) {f : α' → α} {i : α} (a : β i)
(h : ∀ x, f x ≠ i) : (fun j ↦ (update g i a) (f j)) = fun j ↦ g (f j) :=
funext fun _ ↦ update_noteq (h _) _ _
#align function.update_comp_eq_of_forall_ne' Function.update_comp_eq_of_forall_ne'
theorem update_comp_eq_of_forall_ne {α β : Sort*} (g : α' → β) {f : α → α'} {i : α'} (a : β)
(h : ∀ x, f x ≠ i) : update g i a ∘ f = g ∘ f :=
update_comp_eq_of_forall_ne' g a h
#align function.update_comp_eq_of_forall_ne Function.update_comp_eq_of_forall_ne
theorem update_comp_eq_of_injective' (g : ∀ a, β a) {f : α' → α} (hf : Function.Injective f)
(i : α') (a : β (f i)) : (fun j ↦ update g (f i) a (f j)) = update (fun i ↦ g (f i)) i a :=
eq_update_iff.2 ⟨update_same _ _ _, fun _ hj ↦ update_noteq (hf.ne hj) _ _⟩
#align function.update_comp_eq_of_injective' Function.update_comp_eq_of_injective'
theorem update_comp_eq_of_injective {β : Sort*} (g : α' → β) {f : α → α'}
(hf : Function.Injective f) (i : α) (a : β) :
Function.update g (f i) a ∘ f = Function.update (g ∘ f) i a :=
update_comp_eq_of_injective' g hf i a
#align function.update_comp_eq_of_injective Function.update_comp_eq_of_injective
theorem apply_update {ι : Sort*} [DecidableEq ι] {α β : ι → Sort*} (f : ∀ i, α i → β i)
(g : ∀ i, α i) (i : ι) (v : α i) (j : ι) :
f j (update g i v j) = update (fun k ↦ f k (g k)) i (f i v) j := by
by_cases h:j = i
· subst j
simp
· simp [h]
#align function.apply_update Function.apply_update
| Mathlib/Logic/Function/Basic.lean | 660 | 666 | theorem apply_update₂ {ι : Sort*} [DecidableEq ι] {α β γ : ι → Sort*} (f : ∀ i, α i → β i → γ i)
(g : ∀ i, α i) (h : ∀ i, β i) (i : ι) (v : α i) (w : β i) (j : ι) :
f j (update g i v j) (update h i w j) = update (fun k ↦ f k (g k) (h k)) i (f i v w) j := by |
by_cases h:j = i
· subst j
simp
· simp [h]
|
import Mathlib.Analysis.Analytic.Basic
import Mathlib.Combinatorics.Enumerative.Composition
#align_import analysis.analytic.composition from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a"
noncomputable section
variable {𝕜 : Type*} {E F G H : Type*}
open Filter List
open scoped Topology Classical NNReal ENNReal
section Topological
variable [CommRing 𝕜] [AddCommGroup E] [AddCommGroup F] [AddCommGroup G]
variable [Module 𝕜 E] [Module 𝕜 F] [Module 𝕜 G]
variable [TopologicalSpace E] [TopologicalSpace F] [TopologicalSpace G]
namespace FormalMultilinearSeries
variable [TopologicalAddGroup E] [ContinuousConstSMul 𝕜 E]
variable [TopologicalAddGroup F] [ContinuousConstSMul 𝕜 F]
variable [TopologicalAddGroup G] [ContinuousConstSMul 𝕜 G]
def applyComposition (p : FormalMultilinearSeries 𝕜 E F) {n : ℕ} (c : Composition n) :
(Fin n → E) → Fin c.length → F := fun v i => p (c.blocksFun i) (v ∘ c.embedding i)
#align formal_multilinear_series.apply_composition FormalMultilinearSeries.applyComposition
| Mathlib/Analysis/Analytic/Composition.lean | 106 | 114 | theorem applyComposition_ones (p : FormalMultilinearSeries 𝕜 E F) (n : ℕ) :
p.applyComposition (Composition.ones n) = fun v i =>
p 1 fun _ => v (Fin.castLE (Composition.length_le _) i) := by |
funext v i
apply p.congr (Composition.ones_blocksFun _ _)
intro j hjn hj1
obtain rfl : j = 0 := by omega
refine congr_arg v ?_
rw [Fin.ext_iff, Fin.coe_castLE, Composition.ones_embedding, Fin.val_mk]
|
import Mathlib.CategoryTheory.Sites.Plus
import Mathlib.CategoryTheory.Limits.Shapes.ConcreteCategory
#align_import category_theory.sites.sheafification from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
namespace CategoryTheory
open CategoryTheory.Limits Opposite
universe w v u
variable {C : Type u} [Category.{v} C] {J : GrothendieckTopology C}
variable {D : Type w} [Category.{max v u} D]
section
variable [ConcreteCategory.{max v u} D]
attribute [local instance] ConcreteCategory.hasCoeToSort ConcreteCategory.instFunLike
-- porting note (#5171): removed @[nolint has_nonempty_instance]
def Meq {X : C} (P : Cᵒᵖ ⥤ D) (S : J.Cover X) :=
{ x : ∀ I : S.Arrow, P.obj (op I.Y) //
∀ I : S.Relation, P.map I.g₁.op (x I.fst) = P.map I.g₂.op (x I.snd) }
#align category_theory.meq CategoryTheory.Meq
end
namespace GrothendieckTopology
variable (J)
variable [∀ (P : Cᵒᵖ ⥤ D) (X : C) (S : J.Cover X), HasMultiequalizer (S.index P)]
[∀ X : C, HasColimitsOfShape (J.Cover X)ᵒᵖ D]
noncomputable def sheafify (P : Cᵒᵖ ⥤ D) : Cᵒᵖ ⥤ D :=
J.plusObj (J.plusObj P)
#align category_theory.grothendieck_topology.sheafify CategoryTheory.GrothendieckTopology.sheafify
noncomputable def toSheafify (P : Cᵒᵖ ⥤ D) : P ⟶ J.sheafify P :=
J.toPlus P ≫ J.plusMap (J.toPlus P)
#align category_theory.grothendieck_topology.to_sheafify CategoryTheory.GrothendieckTopology.toSheafify
noncomputable def sheafifyMap {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) : J.sheafify P ⟶ J.sheafify Q :=
J.plusMap <| J.plusMap η
#align category_theory.grothendieck_topology.sheafify_map CategoryTheory.GrothendieckTopology.sheafifyMap
@[simp]
theorem sheafifyMap_id (P : Cᵒᵖ ⥤ D) : J.sheafifyMap (𝟙 P) = 𝟙 (J.sheafify P) := by
dsimp [sheafifyMap, sheafify]
simp
#align category_theory.grothendieck_topology.sheafify_map_id CategoryTheory.GrothendieckTopology.sheafifyMap_id
@[simp]
theorem sheafifyMap_comp {P Q R : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (γ : Q ⟶ R) :
J.sheafifyMap (η ≫ γ) = J.sheafifyMap η ≫ J.sheafifyMap γ := by
dsimp [sheafifyMap, sheafify]
simp
#align category_theory.grothendieck_topology.sheafify_map_comp CategoryTheory.GrothendieckTopology.sheafifyMap_comp
@[reassoc (attr := simp)]
theorem toSheafify_naturality {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) :
η ≫ J.toSheafify _ = J.toSheafify _ ≫ J.sheafifyMap η := by
dsimp [sheafifyMap, sheafify, toSheafify]
simp
#align category_theory.grothendieck_topology.to_sheafify_naturality CategoryTheory.GrothendieckTopology.toSheafify_naturality
variable (D)
noncomputable def sheafification : (Cᵒᵖ ⥤ D) ⥤ Cᵒᵖ ⥤ D :=
J.plusFunctor D ⋙ J.plusFunctor D
#align category_theory.grothendieck_topology.sheafification CategoryTheory.GrothendieckTopology.sheafification
@[simp]
theorem sheafification_obj (P : Cᵒᵖ ⥤ D) : (J.sheafification D).obj P = J.sheafify P :=
rfl
#align category_theory.grothendieck_topology.sheafification_obj CategoryTheory.GrothendieckTopology.sheafification_obj
@[simp]
theorem sheafification_map {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) :
(J.sheafification D).map η = J.sheafifyMap η :=
rfl
#align category_theory.grothendieck_topology.sheafification_map CategoryTheory.GrothendieckTopology.sheafification_map
noncomputable def toSheafification : 𝟭 _ ⟶ sheafification J D :=
J.toPlusNatTrans D ≫ whiskerRight (J.toPlusNatTrans D) (J.plusFunctor D)
#align category_theory.grothendieck_topology.to_sheafification CategoryTheory.GrothendieckTopology.toSheafification
@[simp]
theorem toSheafification_app (P : Cᵒᵖ ⥤ D) :
(J.toSheafification D).app P = J.toSheafify P :=
rfl
#align category_theory.grothendieck_topology.to_sheafification_app CategoryTheory.GrothendieckTopology.toSheafification_app
variable {D}
theorem isIso_toSheafify {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) : IsIso (J.toSheafify P) := by
dsimp [toSheafify]
haveI := isIso_toPlus_of_isSheaf J P hP
change (IsIso (toPlus J P ≫ (J.plusFunctor D).map (toPlus J P)))
infer_instance
#align category_theory.grothendieck_topology.is_iso_to_sheafify CategoryTheory.GrothendieckTopology.isIso_toSheafify
noncomputable def isoSheafify {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) : P ≅ J.sheafify P :=
letI := isIso_toSheafify J hP
asIso (J.toSheafify P)
#align category_theory.grothendieck_topology.iso_sheafify CategoryTheory.GrothendieckTopology.isoSheafify
@[simp]
theorem isoSheafify_hom {P : Cᵒᵖ ⥤ D} (hP : Presheaf.IsSheaf J P) :
(J.isoSheafify hP).hom = J.toSheafify P :=
rfl
#align category_theory.grothendieck_topology.iso_sheafify_hom CategoryTheory.GrothendieckTopology.isoSheafify_hom
noncomputable def sheafifyLift {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (hQ : Presheaf.IsSheaf J Q) :
J.sheafify P ⟶ Q :=
J.plusLift (J.plusLift η hQ) hQ
#align category_theory.grothendieck_topology.sheafify_lift CategoryTheory.GrothendieckTopology.sheafifyLift
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Sites/ConcreteSheafification.lean | 555 | 558 | theorem toSheafify_sheafifyLift {P Q : Cᵒᵖ ⥤ D} (η : P ⟶ Q) (hQ : Presheaf.IsSheaf J Q) :
J.toSheafify P ≫ sheafifyLift J η hQ = η := by |
dsimp only [sheafifyLift, toSheafify]
simp
|
import Mathlib.Algebra.BigOperators.Module
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Order.Filter.ModEq
import Mathlib.Analysis.Asymptotics.Asymptotics
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Data.List.TFAE
import Mathlib.Analysis.NormedSpace.Basic
#align_import analysis.specific_limits.normed from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open scoped Classical
open Set Function Filter Finset Metric Asymptotics
open scoped Classical
open Topology Nat uniformity NNReal ENNReal
variable {α : Type*} {β : Type*} {ι : Type*}
theorem tendsto_norm_atTop_atTop : Tendsto (norm : ℝ → ℝ) atTop atTop :=
tendsto_abs_atTop_atTop
#align tendsto_norm_at_top_at_top tendsto_norm_atTop_atTop
theorem summable_of_absolute_convergence_real {f : ℕ → ℝ} :
(∃ r, Tendsto (fun n ↦ ∑ i ∈ range n, |f i|) atTop (𝓝 r)) → Summable f
| ⟨r, hr⟩ => by
refine .of_norm ⟨r, (hasSum_iff_tendsto_nat_of_nonneg ?_ _).2 ?_⟩
· exact fun i ↦ norm_nonneg _
· simpa only using hr
#align summable_of_absolute_convergence_real summable_of_absolute_convergence_real
theorem tendsto_norm_zero' {𝕜 : Type*} [NormedAddCommGroup 𝕜] :
Tendsto (norm : 𝕜 → ℝ) (𝓝[≠] 0) (𝓝[>] 0) :=
tendsto_norm_zero.inf <| tendsto_principal_principal.2 fun _ hx ↦ norm_pos_iff.2 hx
#align tendsto_norm_zero' tendsto_norm_zero'
theorem isLittleO_pow_pow_of_lt_left {r₁ r₂ : ℝ} (h₁ : 0 ≤ r₁) (h₂ : r₁ < r₂) :
(fun n : ℕ ↦ r₁ ^ n) =o[atTop] fun n ↦ r₂ ^ n :=
have H : 0 < r₂ := h₁.trans_lt h₂
(isLittleO_of_tendsto fun _ hn ↦ False.elim <| H.ne' <| pow_eq_zero hn) <|
(tendsto_pow_atTop_nhds_zero_of_lt_one
(div_nonneg h₁ (h₁.trans h₂.le)) ((div_lt_one H).2 h₂)).congr fun _ ↦ div_pow _ _ _
#align is_o_pow_pow_of_lt_left isLittleO_pow_pow_of_lt_left
theorem isBigO_pow_pow_of_le_left {r₁ r₂ : ℝ} (h₁ : 0 ≤ r₁) (h₂ : r₁ ≤ r₂) :
(fun n : ℕ ↦ r₁ ^ n) =O[atTop] fun n ↦ r₂ ^ n :=
h₂.eq_or_lt.elim (fun h ↦ h ▸ isBigO_refl _ _) fun h ↦ (isLittleO_pow_pow_of_lt_left h₁ h).isBigO
set_option linter.uppercaseLean3 false in
#align is_O_pow_pow_of_le_left isBigO_pow_pow_of_le_left
theorem isLittleO_pow_pow_of_abs_lt_left {r₁ r₂ : ℝ} (h : |r₁| < |r₂|) :
(fun n : ℕ ↦ r₁ ^ n) =o[atTop] fun n ↦ r₂ ^ n := by
refine (IsLittleO.of_norm_left ?_).of_norm_right
exact (isLittleO_pow_pow_of_lt_left (abs_nonneg r₁) h).congr (pow_abs r₁) (pow_abs r₂)
#align is_o_pow_pow_of_abs_lt_left isLittleO_pow_pow_of_abs_lt_left
open List in
theorem TFAE_exists_lt_isLittleO_pow (f : ℕ → ℝ) (R : ℝ) :
TFAE
[∃ a ∈ Ioo (-R) R, f =o[atTop] (a ^ ·), ∃ a ∈ Ioo 0 R, f =o[atTop] (a ^ ·),
∃ a ∈ Ioo (-R) R, f =O[atTop] (a ^ ·), ∃ a ∈ Ioo 0 R, f =O[atTop] (a ^ ·),
∃ a < R, ∃ C : ℝ, (0 < C ∨ 0 < R) ∧ ∀ n, |f n| ≤ C * a ^ n,
∃ a ∈ Ioo 0 R, ∃ C > 0, ∀ n, |f n| ≤ C * a ^ n, ∃ a < R, ∀ᶠ n in atTop, |f n| ≤ a ^ n,
∃ a ∈ Ioo 0 R, ∀ᶠ n in atTop, |f n| ≤ a ^ n] := by
have A : Ico 0 R ⊆ Ioo (-R) R :=
fun x hx ↦ ⟨(neg_lt_zero.2 (hx.1.trans_lt hx.2)).trans_le hx.1, hx.2⟩
have B : Ioo 0 R ⊆ Ioo (-R) R := Subset.trans Ioo_subset_Ico_self A
-- First we prove that 1-4 are equivalent using 2 → 3 → 4, 1 → 3, and 2 → 1
tfae_have 1 → 3
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha, H.isBigO⟩
tfae_have 2 → 1
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, B ha, H⟩
tfae_have 3 → 2
· rintro ⟨a, ha, H⟩
rcases exists_between (abs_lt.2 ha) with ⟨b, hab, hbR⟩
exact ⟨b, ⟨(abs_nonneg a).trans_lt hab, hbR⟩,
H.trans_isLittleO (isLittleO_pow_pow_of_abs_lt_left (hab.trans_le (le_abs_self b)))⟩
tfae_have 2 → 4
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha, H.isBigO⟩
tfae_have 4 → 3
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, B ha, H⟩
-- Add 5 and 6 using 4 → 6 → 5 → 3
tfae_have 4 → 6
· rintro ⟨a, ha, H⟩
rcases bound_of_isBigO_nat_atTop H with ⟨C, hC₀, hC⟩
refine ⟨a, ha, C, hC₀, fun n ↦ ?_⟩
simpa only [Real.norm_eq_abs, abs_pow, abs_of_nonneg ha.1.le] using hC (pow_ne_zero n ha.1.ne')
tfae_have 6 → 5
· exact fun ⟨a, ha, C, H₀, H⟩ ↦ ⟨a, ha.2, C, Or.inl H₀, H⟩
tfae_have 5 → 3
· rintro ⟨a, ha, C, h₀, H⟩
rcases sign_cases_of_C_mul_pow_nonneg fun n ↦ (abs_nonneg _).trans (H n) with (rfl | ⟨hC₀, ha₀⟩)
· obtain rfl : f = 0 := by
ext n
simpa using H n
simp only [lt_irrefl, false_or_iff] at h₀
exact ⟨0, ⟨neg_lt_zero.2 h₀, h₀⟩, isBigO_zero _ _⟩
exact ⟨a, A ⟨ha₀, ha⟩,
isBigO_of_le' _ fun n ↦ (H n).trans <| mul_le_mul_of_nonneg_left (le_abs_self _) hC₀.le⟩
-- Add 7 and 8 using 2 → 8 → 7 → 3
tfae_have 2 → 8
· rintro ⟨a, ha, H⟩
refine ⟨a, ha, (H.def zero_lt_one).mono fun n hn ↦ ?_⟩
rwa [Real.norm_eq_abs, Real.norm_eq_abs, one_mul, abs_pow, abs_of_pos ha.1] at hn
tfae_have 8 → 7
· exact fun ⟨a, ha, H⟩ ↦ ⟨a, ha.2, H⟩
tfae_have 7 → 3
· rintro ⟨a, ha, H⟩
have : 0 ≤ a := nonneg_of_eventually_pow_nonneg (H.mono fun n ↦ (abs_nonneg _).trans)
refine ⟨a, A ⟨this, ha⟩, IsBigO.of_bound 1 ?_⟩
simpa only [Real.norm_eq_abs, one_mul, abs_pow, abs_of_nonneg this]
-- Porting note: used to work without explicitly having 6 → 7
tfae_have 6 → 7
· exact fun h ↦ tfae_8_to_7 <| tfae_2_to_8 <| tfae_3_to_2 <| tfae_5_to_3 <| tfae_6_to_5 h
tfae_finish
#align tfae_exists_lt_is_o_pow TFAE_exists_lt_isLittleO_pow
theorem isLittleO_pow_const_const_pow_of_one_lt {R : Type*} [NormedRing R] (k : ℕ) {r : ℝ}
(hr : 1 < r) : (fun n ↦ (n : R) ^ k : ℕ → R) =o[atTop] fun n ↦ r ^ n := by
have : Tendsto (fun x : ℝ ↦ x ^ k) (𝓝[>] 1) (𝓝 1) :=
((continuous_id.pow k).tendsto' (1 : ℝ) 1 (one_pow _)).mono_left inf_le_left
obtain ⟨r' : ℝ, hr' : r' ^ k < r, h1 : 1 < r'⟩ :=
((this.eventually (gt_mem_nhds hr)).and self_mem_nhdsWithin).exists
have h0 : 0 ≤ r' := zero_le_one.trans h1.le
suffices (fun n ↦ (n : R) ^ k : ℕ → R) =O[atTop] fun n : ℕ ↦ (r' ^ k) ^ n from
this.trans_isLittleO (isLittleO_pow_pow_of_lt_left (pow_nonneg h0 _) hr')
conv in (r' ^ _) ^ _ => rw [← pow_mul, mul_comm, pow_mul]
suffices ∀ n : ℕ, ‖(n : R)‖ ≤ (r' - 1)⁻¹ * ‖(1 : R)‖ * ‖r' ^ n‖ from
(isBigO_of_le' _ this).pow _
intro n
rw [mul_right_comm]
refine n.norm_cast_le.trans (mul_le_mul_of_nonneg_right ?_ (norm_nonneg _))
simpa [_root_.div_eq_inv_mul, Real.norm_eq_abs, abs_of_nonneg h0] using n.cast_le_pow_div_sub h1
#align is_o_pow_const_const_pow_of_one_lt isLittleO_pow_const_const_pow_of_one_lt
theorem isLittleO_coe_const_pow_of_one_lt {R : Type*} [NormedRing R] {r : ℝ} (hr : 1 < r) :
((↑) : ℕ → R) =o[atTop] fun n ↦ r ^ n := by
simpa only [pow_one] using @isLittleO_pow_const_const_pow_of_one_lt R _ 1 _ hr
#align is_o_coe_const_pow_of_one_lt isLittleO_coe_const_pow_of_one_lt
theorem isLittleO_pow_const_mul_const_pow_const_pow_of_norm_lt {R : Type*} [NormedRing R] (k : ℕ)
{r₁ : R} {r₂ : ℝ} (h : ‖r₁‖ < r₂) :
(fun n ↦ (n : R) ^ k * r₁ ^ n : ℕ → R) =o[atTop] fun n ↦ r₂ ^ n := by
by_cases h0 : r₁ = 0
· refine (isLittleO_zero _ _).congr' (mem_atTop_sets.2 <| ⟨1, fun n hn ↦ ?_⟩) EventuallyEq.rfl
simp [zero_pow (one_le_iff_ne_zero.1 hn), h0]
rw [← Ne, ← norm_pos_iff] at h0
have A : (fun n ↦ (n : R) ^ k : ℕ → R) =o[atTop] fun n ↦ (r₂ / ‖r₁‖) ^ n :=
isLittleO_pow_const_const_pow_of_one_lt k ((one_lt_div h0).2 h)
suffices (fun n ↦ r₁ ^ n) =O[atTop] fun n ↦ ‖r₁‖ ^ n by
simpa [div_mul_cancel₀ _ (pow_pos h0 _).ne'] using A.mul_isBigO this
exact IsBigO.of_bound 1 (by simpa using eventually_norm_pow_le r₁)
#align is_o_pow_const_mul_const_pow_const_pow_of_norm_lt isLittleO_pow_const_mul_const_pow_const_pow_of_norm_lt
theorem tendsto_pow_const_div_const_pow_of_one_lt (k : ℕ) {r : ℝ} (hr : 1 < r) :
Tendsto (fun n ↦ (n : ℝ) ^ k / r ^ n : ℕ → ℝ) atTop (𝓝 0) :=
(isLittleO_pow_const_const_pow_of_one_lt k hr).tendsto_div_nhds_zero
#align tendsto_pow_const_div_const_pow_of_one_lt tendsto_pow_const_div_const_pow_of_one_lt
theorem tendsto_pow_const_mul_const_pow_of_abs_lt_one (k : ℕ) {r : ℝ} (hr : |r| < 1) :
Tendsto (fun n ↦ (n : ℝ) ^ k * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by
by_cases h0 : r = 0
· exact tendsto_const_nhds.congr'
(mem_atTop_sets.2 ⟨1, fun n hn ↦ by simp [zero_lt_one.trans_le hn |>.ne', h0]⟩)
have hr' : 1 < |r|⁻¹ := one_lt_inv (abs_pos.2 h0) hr
rw [tendsto_zero_iff_norm_tendsto_zero]
simpa [div_eq_mul_inv] using tendsto_pow_const_div_const_pow_of_one_lt k hr'
#align tendsto_pow_const_mul_const_pow_of_abs_lt_one tendsto_pow_const_mul_const_pow_of_abs_lt_one
theorem tendsto_pow_const_mul_const_pow_of_lt_one (k : ℕ) {r : ℝ} (hr : 0 ≤ r) (h'r : r < 1) :
Tendsto (fun n ↦ (n : ℝ) ^ k * r ^ n : ℕ → ℝ) atTop (𝓝 0) :=
tendsto_pow_const_mul_const_pow_of_abs_lt_one k (abs_lt.2 ⟨neg_one_lt_zero.trans_le hr, h'r⟩)
#align tendsto_pow_const_mul_const_pow_of_lt_one tendsto_pow_const_mul_const_pow_of_lt_one
theorem tendsto_self_mul_const_pow_of_abs_lt_one {r : ℝ} (hr : |r| < 1) :
Tendsto (fun n ↦ n * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by
simpa only [pow_one] using tendsto_pow_const_mul_const_pow_of_abs_lt_one 1 hr
#align tendsto_self_mul_const_pow_of_abs_lt_one tendsto_self_mul_const_pow_of_abs_lt_one
| Mathlib/Analysis/SpecificLimits/Normed.lean | 264 | 266 | theorem tendsto_self_mul_const_pow_of_lt_one {r : ℝ} (hr : 0 ≤ r) (h'r : r < 1) :
Tendsto (fun n ↦ n * r ^ n : ℕ → ℝ) atTop (𝓝 0) := by |
simpa only [pow_one] using tendsto_pow_const_mul_const_pow_of_lt_one 1 hr h'r
|
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