state stringlengths 0 159k | srcUpToTactic stringlengths 387 167k | nextTactic stringlengths 3 9k | declUpToTactic stringlengths 22 11.5k | declId stringlengths 38 95 | decl stringlengths 16 1.89k | file_tag stringlengths 17 73 |
|---|---|---|---|---|---|---|
case refine'_1
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l m n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
h : mulSingle k u * mulSingle l v = mulSingle m u * mulSingle n v
hk : (mulSingle k u * mulSingle l v) k = (mulSingle m u * mu... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | simp only [mul_apply, mulSingle_apply, if_pos rfl] at hk hl hm hn | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l m n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
h : mulSingle k u * mulSingle l v = mulSingle m u * mulSingle n v
hk : ((if True then u else 1) * if k = l then v else 1) = (i... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rcases eq_or_ne k m with (rfl | hkm) | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inl
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
h : mulSingle k u * mulSingle l v = mulSingle k u * mulSingle n v
hk : ((if True then u else 1) * if k = l then v else 1) = ... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | refine' Or.inl ⟨rfl, not_ne_iff.mp fun hln => (hv _).elim⟩ | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inl
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
h : mulSingle k u * mulSingle l v = mulSingle k u * mulSingle n v
hk : ((if True then u else 1) * if k = l then v else 1) = ... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rcases eq_or_ne k l with (rfl | hkl) | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inl.inl
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
h : mulSingle k u * mulSingle k v = mulSingle k u * mulSingle n v
hk : ((if True then u else 1) * if k = k then v else 1) ... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rwa [if_neg hln.symm, if_neg hln.symm, one_mul, one_mul] at hn | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inl.inr
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
h : mulSingle k u * mulSingle l v = mulSingle k u * mulSingle n v
hk : ((if True then u else 1) * if k = l then v else 1... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rwa [if_neg hkl.symm, if_neg hln, one_mul, one_mul] at hl | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l m n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
h : mulSingle k u * mulSingle l v = mulSingle m u * mulSingle n v
hk : ((if True then u else 1) * if k = l then v else 1) ... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rcases eq_or_ne m n with (rfl | hmn) | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inl
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l m : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
hkm : k ≠ m
h : mulSingle k u * mulSingle l v = mulSingle m u * mulSingle m v
hk : ((if True then u else 1) * if k = l t... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rcases eq_or_ne k l with (rfl | hkl) | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inl.inl
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k m : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
hkm : k ≠ m
h : mulSingle k u * mulSingle k v = mulSingle m u * mulSingle m v
hk : ((if True then u else 1) * if k = k... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rw [if_neg hkm.symm, if_neg hkm.symm, one_mul, if_pos rfl] at hm | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inl.inl
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k m : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
hkm : k ≠ m
h : mulSingle k u * mulSingle k v = mulSingle m u * mulSingle m v
hk : ((if True then u else 1) * if k = k... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | exact Or.inr (Or.inr ⟨hm, rfl, rfl⟩) | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inl.inr
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l m : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
hkm : k ≠ m
h : mulSingle k u * mulSingle l v = mulSingle m u * mulSingle m v
hk : ((if True then u else 1) * if k =... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | simp only [if_neg hkm, if_neg hkl, mul_one] at hk | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inl.inr
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l m : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
hkm : k ≠ m
h : mulSingle k u * mulSingle l v = mulSingle m u * mulSingle m v
hl : ((if l = k then u else 1) * if Tr... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | dsimp at hk | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inl.inr
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l m : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
hkm : k ≠ m
h : mulSingle k u * mulSingle l v = mulSingle m u * mulSingle m v
hl : ((if l = k then u else 1) * if Tr... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | contradiction | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inr
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l m n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
h : mulSingle k u * mulSingle l v = mulSingle m u * mulSingle n v
hk : ((if True then u else 1) * if k = l then v else... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rw [if_neg hkm.symm, if_neg hmn, one_mul, mul_one] at hm | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inr
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l m n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
h : mulSingle k u * mulSingle l v = mulSingle m u * mulSingle n v
hk : ((if True then u else 1) * if k = l then v else... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | obtain rfl := (ite_ne_right_iff.mp (ne_of_eq_of_ne hm.symm hu)).1 | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inr
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k m n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
hkm : k ≠ m
hmn : m ≠ n
h : mulSingle k u * mulSingle m v = mulSingle m u * mulSingle n v
hk : ((if True then u else 1) ... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rw [if_neg hkm, if_neg hkm, one_mul, mul_one] at hk | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inr
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k m n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
hkm : k ≠ m
hmn : m ≠ n
h : mulSingle k u * mulSingle m v = mulSingle m u * mulSingle n v
hk : (if True then u else 1) =... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | obtain rfl := (ite_ne_right_iff.mp (ne_of_eq_of_ne hk.symm hu)).1 | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_1.inr.inr
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k m : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
hkm : k ≠ m
hm : (if True then u else 1) = if m = m then v else 1
hmn : m ≠ k
h : mulSingle k u * mulSingle m v = mulSingl... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | exact Or.inr (Or.inl ⟨hk.trans (if_pos rfl), rfl, rfl⟩) | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_2
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l m n : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
⊢ k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n →
mulSingle k u * mulSingle l v = mulSingle m u * mulS... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rintro (⟨rfl, rfl⟩ | ⟨rfl, rfl, rfl⟩ | ⟨h, rfl, rfl⟩) | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_2.inl.intro
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
⊢ mulSingle k u * mulSingle l v = mulSingle k u * mulSingle l v | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | rfl | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_2.inr.inl.intro.intro
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k l : I
u : M
hu hv : u ≠ 1
⊢ mulSingle k u * mulSingle l u = mulSingle l u * mulSingle k u | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | apply mul_comm | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
case refine'_2.inr.inr.intro.intro
ι : Type u_1
α : Type u_2
I : Type u
f : I → Type v
x y : (i : I) → f i
i j : I
inst✝¹ : DecidableEq I
M : Type u_3
inst✝ : CommMonoid M
k m : I
u v : M
hu : u ≠ 1
hv : v ≠ 1
h : u * v = 1
⊢ mulSingle k u * mulSingle k v = mulSingle m u * mulSingle m v | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | simp_rw [← Pi.mulSingle_mul, h, mulSingle_one] | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n := by
re... | Mathlib.Algebra.Group.Pi.608_0.DFGfFEDon0PHcgt | @[to_additive]
theorem Pi.mulSingle_mul_mulSingle_eq_mulSingle_mul_mulSingle {M : Type*} [CommMonoid M]
{k l m n : I} {u v : M} (hu : u ≠ 1) (hv : v ≠ 1) :
(mulSingle k u : I → M) * mulSingle l v = mulSingle m u * mulSingle n v ↔
k = m ∧ l = n ∨ u = v ∧ k = n ∧ l = m ∨ u * v = 1 ∧ k = l ∧ m = n | Mathlib_Algebra_Group_Pi |
ι : Type u_1
α : Type u_2
I : Type u
f✝ : I → Type v
x y : (i : I) → f✝ i
i j : I
η : Type v
R : Type w
s : ι → η
inst✝ : MulOneClass R
f g : ι → R
⊢ OneHom.toFun { toFun := fun f => extend s f 1, map_one' := (_ : extend s 1 1 = 1) } (f * g) =
OneHom.toFun { toFun := fun f => extend s f 1, map_one' := (_ : extend s... | /-
Copyright (c) 2018 Simon Hudon. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Simon Hudon, Patrick Massot
-/
import Mathlib.Init.CCLemmas
import Mathlib.Algebra.Group.Hom.Instances
import Mathlib.Data.Pi.Algebra
import Mathlib.Data.Set.Function
import Mathlib.Logic... | simpa using Function.extend_mul s f g 1 1 | /-- `Function.extend s f 1` as a bundled hom. -/
@[to_additive (attr := simps) Function.ExtendByZero.hom "`Function.extend s f 0` as a bundled hom."]
noncomputable def Function.ExtendByOne.hom [MulOneClass R] :
(ι → R) →* η → R where
toFun f := Function.extend s f 1
map_one' := Function.extend_one s
map_mul' ... | Mathlib.Algebra.Group.Pi.721_0.DFGfFEDon0PHcgt | /-- `Function.extend s f 1` as a bundled hom. -/
@[to_additive (attr | Mathlib_Algebra_Group_Pi |
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
⊢ ↑↑μ Eᶜ ≤ liminf (fun i => ↑↑(μs i) Eᶜ) L | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rcases L.eq_or_neBot with rfl | hne | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inl
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) ⊥ ≤ ↑↑μ E
⊢ ↑↑μ Eᶜ ≤ liminf (fun i => ↑↑(μs i) Eᶜ) ⊥ | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simp only [liminf_bot, le_top] | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
⊢ ↑↑μ Eᶜ ≤ liminf (fun i => ↑↑(μs i) Eᶜ) ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have meas_Ec : μ Eᶜ = 1 - μ E := by
simpa only [measure_univ] using measure_compl E_mble (measure_lt_top μ E).ne | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
⊢ ↑↑μ Eᶜ = 1 - ↑↑μ E | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simpa only [measure_univ] using measure_compl E_mble (measure_lt_top μ E).ne | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
⊢ ↑↑μ Eᶜ ≤ l... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have meas_i_Ec : ∀ i, μs i Eᶜ = 1 - μs i E := by
intro i
simpa only [measure_univ] using measure_compl E_mble (measure_lt_top (μs i) E).ne | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
⊢ ∀ (i : ι), ↑↑(μs i)... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | intro i | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
i : ι
⊢ ↑↑(μs i) Eᶜ =... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simpa only [measure_univ] using measure_compl E_mble (measure_lt_top (μs i) E).ne | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simp_rw [meas_Ec, meas_i_Ec] | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have obs :
(L.liminf fun i : ι => 1 - μs i E) = L.liminf ((fun x => 1 - x) ∘ fun i : ι => μs i E) := rfl | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rw [obs] | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have := antitone_const_tsub.map_limsup_of_continuousAt (F := L)
(fun i => μs i E) (ENNReal.continuous_sub_left ENNReal.one_ne_top).continuousAt | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simp_rw [← this] | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : limsup (fun i => ↑↑(μs i) E) L ≤ ↑↑μ E
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | exact antitone_const_tsub h | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib.MeasureTheory.Measure.Portmanteau.105_0.COExymZuBXoOgED | /-- **Portmanteau theorem** -/
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun ... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
⊢ limsup (fun i => ↑↑(μs i) Eᶜ) L ≤ ↑↑μ Eᶜ | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rcases L.eq_or_neBot with rfl | hne | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
| Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
case inl
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) ⊥
⊢ limsup (fun i => ↑↑(μs i) Eᶜ) ⊥ ≤ ↑↑μ Eᶜ | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simp only [limsup_bot, bot_le] | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
⊢ limsup (fun i => ↑↑(μs i) Eᶜ) L ≤ ↑↑μ E... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have meas_Ec : μ Eᶜ = 1 - μ E := by
simpa only [measure_univ] using measure_compl E_mble (measure_lt_top μ E).ne | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
⊢ ↑↑μ Eᶜ = 1 - ↑↑μ E | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simpa only [measure_univ] using measure_compl E_mble (measure_lt_top μ E).ne | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
⊢ limsup (fu... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have meas_i_Ec : ∀ i, μs i Eᶜ = 1 - μs i E := by
intro i
simpa only [measure_univ] using measure_compl E_mble (measure_lt_top (μs i) E).ne | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
⊢ ∀ (i : ι), ↑↑(μs i)... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | intro i | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
i : ι
⊢ ↑↑(μs i) Eᶜ =... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simpa only [measure_univ] using measure_compl E_mble (measure_lt_top (μs i) E).ne | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simp_rw [meas_Ec, meas_i_Ec] | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have obs :
(L.limsup fun i : ι => 1 - μs i E) = L.limsup ((fun x => 1 - x) ∘ fun i : ι => μs i E) := rfl | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rw [obs] | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have := antitone_const_tsub.map_liminf_of_continuousAt (F := L)
(fun i => μs i E) (ENNReal.continuous_sub_left ENNReal.one_ne_top).continuousAt | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simp_rw [← this] | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
inst✝² : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
E : Set Ω
E_mble : MeasurableSet E
h : ↑↑μ E ≤ liminf (fun i => ↑↑(μs i) E) L
hne : NeBot L
meas_Ec : ↑↑μ Eᶜ = 1 - ↑↑μ E
meas_i_Ec : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | exact antitone_const_tsub h | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.e... | Mathlib.MeasureTheory.Measure.Portmanteau.134_0.COExymZuBXoOgED | theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : OpensMeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
⊢ (∀ (F : Set Ω), IsClosed F → limsup (fun i => ↑↑(μs i) F) L ≤ ↑↑μ F) ↔
∀ (G ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | constructor | /-- One pair of implications of the portmanteau theorem:
For a sequence of Borel probability measures, the following two are equivalent:
(C) The limsup of the measures of any closed set is at most the measure of the closed set
under a candidate limit measure.
(O) The liminf of the measures of any open set is at least... | Mathlib.MeasureTheory.Measure.Portmanteau.164_0.COExymZuBXoOgED | /-- One pair of implications of the portmanteau theorem:
For a sequence of Borel probability measures, the following two are equivalent:
(C) The limsup of the measures of any closed set is at most the measure of the closed set
under a candidate limit measure.
(O) The liminf of the measures of any open set is at least... | Mathlib_MeasureTheory_Measure_Portmanteau |
case mp
Ω : Type u_1
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : OpensMeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
⊢ (∀ (F : Set Ω), IsClosed F → limsup (fun i => ↑↑(μs i) F) L ≤ ↑↑μ F) →
... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | intro h G G_open | /-- One pair of implications of the portmanteau theorem:
For a sequence of Borel probability measures, the following two are equivalent:
(C) The limsup of the measures of any closed set is at most the measure of the closed set
under a candidate limit measure.
(O) The liminf of the measures of any open set is at least... | Mathlib.MeasureTheory.Measure.Portmanteau.164_0.COExymZuBXoOgED | /-- One pair of implications of the portmanteau theorem:
For a sequence of Borel probability measures, the following two are equivalent:
(C) The limsup of the measures of any closed set is at most the measure of the closed set
under a candidate limit measure.
(O) The liminf of the measures of any open set is at least... | Mathlib_MeasureTheory_Measure_Portmanteau |
case mp
Ω : Type u_1
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : OpensMeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
h : ∀ (F : Set Ω), IsClosed F → limsup (fun i => ↑↑(μs i) F) L ≤ ↑↑μ F
G :... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | exact le_measure_liminf_of_limsup_measure_compl_le
G_open.measurableSet (h Gᶜ (isClosed_compl_iff.mpr G_open)) | /-- One pair of implications of the portmanteau theorem:
For a sequence of Borel probability measures, the following two are equivalent:
(C) The limsup of the measures of any closed set is at most the measure of the closed set
under a candidate limit measure.
(O) The liminf of the measures of any open set is at least... | Mathlib.MeasureTheory.Measure.Portmanteau.164_0.COExymZuBXoOgED | /-- One pair of implications of the portmanteau theorem:
For a sequence of Borel probability measures, the following two are equivalent:
(C) The limsup of the measures of any closed set is at most the measure of the closed set
under a candidate limit measure.
(O) The liminf of the measures of any open set is at least... | Mathlib_MeasureTheory_Measure_Portmanteau |
case mpr
Ω : Type u_1
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : OpensMeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
⊢ (∀ (G : Set Ω), IsOpen G → ↑↑μ G ≤ liminf (fun i => ↑↑(μs i) G) L) →
... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | intro h F F_closed | /-- One pair of implications of the portmanteau theorem:
For a sequence of Borel probability measures, the following two are equivalent:
(C) The limsup of the measures of any closed set is at most the measure of the closed set
under a candidate limit measure.
(O) The liminf of the measures of any open set is at least... | Mathlib.MeasureTheory.Measure.Portmanteau.164_0.COExymZuBXoOgED | /-- One pair of implications of the portmanteau theorem:
For a sequence of Borel probability measures, the following two are equivalent:
(C) The limsup of the measures of any closed set is at most the measure of the closed set
under a candidate limit measure.
(O) The liminf of the measures of any open set is at least... | Mathlib_MeasureTheory_Measure_Portmanteau |
case mpr
Ω : Type u_1
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : OpensMeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
inst✝¹ : IsProbabilityMeasure μ
inst✝ : ∀ (i : ι), IsProbabilityMeasure (μs i)
h : ∀ (G : Set Ω), IsOpen G → ↑↑μ G ≤ liminf (fun i => ↑↑(μs i) G) L
F : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | exact limsup_measure_le_of_le_liminf_measure_compl
F_closed.measurableSet (h Fᶜ (isOpen_compl_iff.mpr F_closed)) | /-- One pair of implications of the portmanteau theorem:
For a sequence of Borel probability measures, the following two are equivalent:
(C) The limsup of the measures of any closed set is at most the measure of the closed set
under a candidate limit measure.
(O) The liminf of the measures of any open set is at least... | Mathlib.MeasureTheory.Measure.Portmanteau.164_0.COExymZuBXoOgED | /-- One pair of implications of the portmanteau theorem:
For a sequence of Borel probability measures, the following two are equivalent:
(C) The limsup of the measures of any closed set is at most the measure of the closed set
under a candidate limit measure.
(O) The liminf of the measures of any open set is at least... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝ : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
E₀ E E₁ : Set Ω
E₀_subset : E₀ ⊆ E
subset_E₁ : E ⊆ E₁
nulldiff : ↑↑μ (E₁ \ E₀) = 0
h_E₀ : ↑↑μ E₀ ≤ liminf (fun i => ↑↑(μs i) E₀) L
h_E₁ : limsup (fun i => ↑↑(μs i) E₁) L ≤ ↑↑μ E₁
⊢ Tendsto (fun i => ↑↑(μs i) E) L (𝓝 (↑↑μ ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | apply tendsto_of_le_liminf_of_limsup_le | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib.MeasureTheory.Measure.Portmanteau.210_0.COExymZuBXoOgED | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib_MeasureTheory_Measure_Portmanteau |
case hinf
Ω : Type u_1
inst✝ : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
E₀ E E₁ : Set Ω
E₀_subset : E₀ ⊆ E
subset_E₁ : E ⊆ E₁
nulldiff : ↑↑μ (E₁ \ E₀) = 0
h_E₀ : ↑↑μ E₀ ≤ liminf (fun i => ↑↑(μs i) E₀) L
h_E₁ : limsup (fun i => ↑↑(μs i) E₁) L ≤ ↑↑μ E₁
⊢ ↑↑μ E ≤ liminf (fun i => ↑↑(μs ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have E₀_ae_eq_E : E₀ =ᵐ[μ] E :=
EventuallyLE.antisymm E₀_subset.eventuallyLE
(subset_E₁.eventuallyLE.trans (ae_le_set.mpr nulldiff)) | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib.MeasureTheory.Measure.Portmanteau.210_0.COExymZuBXoOgED | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib_MeasureTheory_Measure_Portmanteau |
case hinf
Ω : Type u_1
inst✝ : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
E₀ E E₁ : Set Ω
E₀_subset : E₀ ⊆ E
subset_E₁ : E ⊆ E₁
nulldiff : ↑↑μ (E₁ \ E₀) = 0
h_E₀ : ↑↑μ E₀ ≤ liminf (fun i => ↑↑(μs i) E₀) L
h_E₁ : limsup (fun i => ↑↑(μs i) E₁) L ≤ ↑↑μ E₁
E₀_ae_eq_E : E₀ =ᵐ[μ] E
⊢ ↑↑μ E ≤... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | calc
μ E = μ E₀ := measure_congr E₀_ae_eq_E.symm
_ ≤ L.liminf fun i => μs i E₀ := h_E₀
_ ≤ L.liminf fun i => μs i E :=
liminf_le_liminf (eventually_of_forall fun _ => measure_mono E₀_subset) | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib.MeasureTheory.Measure.Portmanteau.210_0.COExymZuBXoOgED | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib_MeasureTheory_Measure_Portmanteau |
case hsup
Ω : Type u_1
inst✝ : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
E₀ E E₁ : Set Ω
E₀_subset : E₀ ⊆ E
subset_E₁ : E ⊆ E₁
nulldiff : ↑↑μ (E₁ \ E₀) = 0
h_E₀ : ↑↑μ E₀ ≤ liminf (fun i => ↑↑(μs i) E₀) L
h_E₁ : limsup (fun i => ↑↑(μs i) E₁) L ≤ ↑↑μ E₁
⊢ limsup (fun i => ↑↑(μs i) E) L ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have E_ae_eq_E₁ : E =ᵐ[μ] E₁ :=
EventuallyLE.antisymm subset_E₁.eventuallyLE
((ae_le_set.mpr nulldiff).trans E₀_subset.eventuallyLE) | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib.MeasureTheory.Measure.Portmanteau.210_0.COExymZuBXoOgED | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib_MeasureTheory_Measure_Portmanteau |
case hsup
Ω : Type u_1
inst✝ : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
E₀ E E₁ : Set Ω
E₀_subset : E₀ ⊆ E
subset_E₁ : E ⊆ E₁
nulldiff : ↑↑μ (E₁ \ E₀) = 0
h_E₀ : ↑↑μ E₀ ≤ liminf (fun i => ↑↑(μs i) E₀) L
h_E₁ : limsup (fun i => ↑↑(μs i) E₁) L ≤ ↑↑μ E₁
E_ae_eq_E₁ : E =ᵐ[μ] E₁
⊢ limsup ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | calc
(L.limsup fun i => μs i E) ≤ L.limsup fun i => μs i E₁ :=
limsup_le_limsup (eventually_of_forall fun _ => measure_mono subset_E₁)
_ ≤ μ E₁ := h_E₁
_ = μ E := measure_congr E_ae_eq_E₁.symm | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib.MeasureTheory.Measure.Portmanteau.210_0.COExymZuBXoOgED | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib_MeasureTheory_Measure_Portmanteau |
case h
Ω : Type u_1
inst✝ : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
E₀ E E₁ : Set Ω
E₀_subset : E₀ ⊆ E
subset_E₁ : E ⊆ E₁
nulldiff : ↑↑μ (E₁ \ E₀) = 0
h_E₀ : ↑↑μ E₀ ≤ liminf (fun i => ↑↑(μs i) E₀) L
h_E₁ : limsup (fun i => ↑↑(μs i) E₁) L ≤ ↑↑μ E₁
⊢ autoParam (IsBoundedUnder (fun x x... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | infer_param | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib.MeasureTheory.Measure.Portmanteau.210_0.COExymZuBXoOgED | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib_MeasureTheory_Measure_Portmanteau |
case h'
Ω : Type u_1
inst✝ : MeasurableSpace Ω
ι : Type u_2
L : Filter ι
μ : Measure Ω
μs : ι → Measure Ω
E₀ E E₁ : Set Ω
E₀_subset : E₀ ⊆ E
subset_E₁ : E ⊆ E₁
nulldiff : ↑↑μ (E₁ \ E₀) = 0
h_E₀ : ↑↑μ E₀ ≤ liminf (fun i => ↑↑(μs i) E₀) L
h_E₁ : limsup (fun i => ↑↑(μs i) E₁) L ≤ ↑↑μ E₁
⊢ autoParam (IsBoundedUnder (fun x ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | infer_param | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib.MeasureTheory.Measure.Portmanteau.210_0.COExymZuBXoOgED | theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
⊢ limsup (fun i => ↑↑↑(μs i) F) L ≤ ↑↑↑μ F | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rcases L.eq_or_neBot with rfl | hne | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inl
Ω : Type u_1
ι : Type u_2
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
F : Set Ω
F_closed : IsClosed F
μs_lim : Tendsto μs ⊥ (𝓝 μ)
⊢ limsup (fun i => ↑↑↑(μs i) F) ⊥ ≤ ↑↑↑μ F | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simp only [limsup_bot, bot_le] | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
⊢ limsup (fun i => ↑↑↑(μs i) F) L ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | apply ENNReal.le_of_forall_pos_le_add | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
⊢ ∀ (ε : ℝ≥0), 0 < ε → ↑↑↑μ F < ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | intro ε ε_pos _ | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ : ↑↑↑μ ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | let fs := F_closed.apprSeq | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ : ↑↑↑μ ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have key₁ : Tendsto (fun n ↦ ∫⁻ ω, (fs n ω : ℝ≥0∞) ∂μ) atTop (𝓝 ((μ : Measure Ω) F)) :=
HasOuterApproxClosed.tendsto_lintegral_apprSeq F_closed (μ : Measure Ω) | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ : ↑↑↑μ ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have room₁ : (μ : Measure Ω) F < (μ : Measure Ω) F + ε / 2 := by
apply
ENNReal.lt_add_right (measure_lt_top (μ : Measure Ω) F).ne
(ENNReal.div_pos_iff.mpr ⟨(ENNReal.coe_pos.mpr ε_pos).ne.symm, ENNReal.two_ne_top⟩).ne.symm | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ : ↑↑↑μ F < ⊤
fs : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | apply
ENNReal.lt_add_right (measure_lt_top (μ : Measure Ω) F).ne
(ENNReal.div_pos_iff.mpr ⟨(ENNReal.coe_pos.mpr ε_pos).ne.symm, ENNReal.two_ne_top⟩).ne.symm | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ : ↑↑↑μ ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rcases eventually_atTop.mp (eventually_lt_of_tendsto_lt room₁ key₁) with ⟨M, hM⟩ | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h.intro
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ :... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have key₂ := FiniteMeasure.tendsto_iff_forall_lintegral_tendsto.mp μs_lim (fs M) | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h.intro
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ :... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have room₂ :
(lintegral (μ : Measure Ω) fun a => fs M a) <
(lintegral (μ : Measure Ω) fun a => fs M a) + ε / 2 := by
apply ENNReal.lt_add_right (ne_of_lt ?_)
(ENNReal.div_pos_iff.mpr ⟨(ENNReal.coe_pos.mpr ε_pos).ne.symm, ENNReal.two_ne_top⟩).ne.symm
apply BoundedContinuousFunction.lintegral_lt... | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ : ↑↑↑μ F < ⊤
fs : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | apply ENNReal.lt_add_right (ne_of_lt ?_)
(ENNReal.div_pos_iff.mpr ⟨(ENNReal.coe_pos.mpr ε_pos).ne.symm, ENNReal.two_ne_top⟩).ne.symm | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ : ↑↑↑μ F < ⊤
fs : ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | apply BoundedContinuousFunction.lintegral_lt_top_of_nnreal | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h.intro
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ :... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have ev_near := Eventually.mono (eventually_lt_of_tendsto_lt room₂ key₂) fun n => le_of_lt | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h.intro
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ :... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have ev_near' := Eventually.mono ev_near
(fun n ↦ le_trans (HasOuterApproxClosed.measure_le_lintegral F_closed (μs n) M)) | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h.intro
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ :... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | apply (Filter.limsup_le_limsup ev_near').trans | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h.intro
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ :... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rw [limsup_const] | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h.intro
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ :... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | apply le_trans (add_le_add (hM M rfl.le).le (le_refl (ε / 2 : ℝ≥0∞))) | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
case inr.h.intro
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : TopologicalSpace Ω
inst✝¹ : HasOuterApproxClosed Ω
inst✝ : OpensMeasurableSpace Ω
μ : FiniteMeasure Ω
μs : ι → FiniteMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
hne : NeBot L
ε : ℝ≥0
ε_pos : 0 < ε
a✝ :... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simp only [add_assoc, ENNReal.add_halves, le_refl] | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib.MeasureTheory.Measure.Portmanteau.278_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of finite measures implies that the limsup of the measures of any closed set is
at most the measure of the closed set under the limit measure.
-/
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : PseudoEMetricSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
inst✝ : HasOuterApproxClosed Ω
μ : ProbabilityMeasure Ω
μs : ι → ProbabilityMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
F : Set Ω
F_closed : IsClosed F
⊢ limsup (fun i => ↑↑↑(μs i) F) L ≤ ↑↑↑μ F | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | apply FiniteMeasure.limsup_measure_closed_le_of_tendsto
((ProbabilityMeasure.tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds L).mp μs_lim) F_closed | /-- One implication of the portmanteau theorem:
Weak convergence of probability measures implies that the limsup of the measures of any closed
set is at most the measure of the closed set under the limit probability measure.
-/
theorem ProbabilityMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
... | Mathlib.MeasureTheory.Measure.Portmanteau.315_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of probability measures implies that the limsup of the measures of any closed
set is at most the measure of the closed set under the limit probability measure.
-/
theorem ProbabilityMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : PseudoEMetricSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
inst✝ : HasOuterApproxClosed Ω
μ : ProbabilityMeasure Ω
μs : ι → ProbabilityMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
E : Set Ω
E_nullbdry : (fun s => ENNReal.toNNReal (↑↑↑μ s)) (frontier E) = 0
... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have E_nullbdry' : (μ : Measure Ω) (frontier E) = 0 := by
rw [← ProbabilityMeasure.ennreal_coeFn_eq_coeFn_toMeasure, E_nullbdry, ENNReal.coe_zero] | /-- One implication of the portmanteau theorem:
Weak convergence of probability measures implies that if the boundary of a Borel set
carries no probability mass under the limit measure, then the limit of the measures of the set
equals the measure of the set under the limit probability measure.
A version with coercions... | Mathlib.MeasureTheory.Measure.Portmanteau.353_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of probability measures implies that if the boundary of a Borel set
carries no probability mass under the limit measure, then the limit of the measures of the set
equals the measure of the set under the limit probability measure.
A version with coercions... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : PseudoEMetricSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
inst✝ : HasOuterApproxClosed Ω
μ : ProbabilityMeasure Ω
μs : ι → ProbabilityMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
E : Set Ω
E_nullbdry : (fun s => ENNReal.toNNReal (↑↑↑μ s)) (frontier E) = 0
... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rw [← ProbabilityMeasure.ennreal_coeFn_eq_coeFn_toMeasure, E_nullbdry, ENNReal.coe_zero] | /-- One implication of the portmanteau theorem:
Weak convergence of probability measures implies that if the boundary of a Borel set
carries no probability mass under the limit measure, then the limit of the measures of the set
equals the measure of the set under the limit probability measure.
A version with coercions... | Mathlib.MeasureTheory.Measure.Portmanteau.353_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of probability measures implies that if the boundary of a Borel set
carries no probability mass under the limit measure, then the limit of the measures of the set
equals the measure of the set under the limit probability measure.
A version with coercions... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : PseudoEMetricSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
inst✝ : HasOuterApproxClosed Ω
μ : ProbabilityMeasure Ω
μs : ι → ProbabilityMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
E : Set Ω
E_nullbdry : (fun s => ENNReal.toNNReal (↑↑↑μ s)) (frontier E) = 0
... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have key := ProbabilityMeasure.tendsto_measure_of_null_frontier_of_tendsto' μs_lim E_nullbdry' | /-- One implication of the portmanteau theorem:
Weak convergence of probability measures implies that if the boundary of a Borel set
carries no probability mass under the limit measure, then the limit of the measures of the set
equals the measure of the set under the limit probability measure.
A version with coercions... | Mathlib.MeasureTheory.Measure.Portmanteau.353_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of probability measures implies that if the boundary of a Borel set
carries no probability mass under the limit measure, then the limit of the measures of the set
equals the measure of the set under the limit probability measure.
A version with coercions... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
ι : Type u_2
L : Filter ι
inst✝³ : MeasurableSpace Ω
inst✝² : PseudoEMetricSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
inst✝ : HasOuterApproxClosed Ω
μ : ProbabilityMeasure Ω
μs : ι → ProbabilityMeasure Ω
μs_lim : Tendsto μs L (𝓝 μ)
E : Set Ω
E_nullbdry : (fun s => ENNReal.toNNReal (↑↑↑μ s)) (frontier E) = 0
... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | exact (ENNReal.tendsto_toNNReal (measure_ne_top (↑μ) E)).comp key | /-- One implication of the portmanteau theorem:
Weak convergence of probability measures implies that if the boundary of a Borel set
carries no probability mass under the limit measure, then the limit of the measures of the set
equals the measure of the set under the limit probability measure.
A version with coercions... | Mathlib.MeasureTheory.Measure.Portmanteau.353_0.COExymZuBXoOgED | /-- One implication of the portmanteau theorem:
Weak convergence of probability measures implies that if the boundary of a Borel set
carries no probability mass under the limit measure, then the limit of the measures of the set
equals the measure of the set under the limit probability measure.
A version with coercions... | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
a b : ℝ
hab : a < b
⊢ ∃ r ∈ Ioo a b, ↑↑μ (frontier (Metric.thickening r s)) = 0 | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have mbles : ∀ r : ℝ, MeasurableSet (frontier (Metric.thickening r s)) :=
fun r => isClosed_frontier.measurableSet | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 := by
| Mathlib.MeasureTheory.Measure.Portmanteau.400_0.COExymZuBXoOgED | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
a b : ℝ
hab : a < b
mbles : ∀ (r : ℝ), MeasurableSet (frontier (Metric.thickening r s))
⊢ ∃ r ∈ Ioo a b, ↑↑μ (frontier (Metric.thickening r s)) = 0 | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have disjs := Metric.frontier_thickening_disjoint s | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 := by
have mbles : ∀ r : ℝ, MeasurableSet (frontier (Metric.thickening r s)) :=
fun r => isClosed_frontier.measurableSet
| Mathlib.MeasureTheory.Measure.Portmanteau.400_0.COExymZuBXoOgED | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
a b : ℝ
hab : a < b
mbles : ∀ (r : ℝ), MeasurableSet (frontier (Metric.thickening r s))
disjs : Pairwise (Disjoint on fun r => frontier (Metric.thickening r s))
⊢ ∃ r ∈ Ioo... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have key := Measure.countable_meas_pos_of_disjoint_iUnion (μ := μ) mbles disjs | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 := by
have mbles : ∀ r : ℝ, MeasurableSet (frontier (Metric.thickening r s)) :=
fun r => isClosed_frontier.measurableSet
have disjs := Metric.... | Mathlib.MeasureTheory.Measure.Portmanteau.400_0.COExymZuBXoOgED | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
a b : ℝ
hab : a < b
mbles : ∀ (r : ℝ), MeasurableSet (frontier (Metric.thickening r s))
disjs : Pairwise (Disjoint on fun r => frontier (Metric.thickening r s))
key : Set.C... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have aux := measure_diff_null (s₁ := Ioo a b) (Set.Countable.measure_zero key volume) | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 := by
have mbles : ∀ r : ℝ, MeasurableSet (frontier (Metric.thickening r s)) :=
fun r => isClosed_frontier.measurableSet
have disjs := Metric.... | Mathlib.MeasureTheory.Measure.Portmanteau.400_0.COExymZuBXoOgED | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
a b : ℝ
hab : a < b
mbles : ∀ (r : ℝ), MeasurableSet (frontier (Metric.thickening r s))
disjs : Pairwise (Disjoint on fun r => frontier (Metric.thickening r s))
key : Set.C... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have len_pos : 0 < ENNReal.ofReal (b - a) := by simp only [hab, ENNReal.ofReal_pos, sub_pos] | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 := by
have mbles : ∀ r : ℝ, MeasurableSet (frontier (Metric.thickening r s)) :=
fun r => isClosed_frontier.measurableSet
have disjs := Metric.... | Mathlib.MeasureTheory.Measure.Portmanteau.400_0.COExymZuBXoOgED | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
a b : ℝ
hab : a < b
mbles : ∀ (r : ℝ), MeasurableSet (frontier (Metric.thickening r s))
disjs : Pairwise (Disjoint on fun r => frontier (Metric.thickening r s))
key : Set.C... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simp only [hab, ENNReal.ofReal_pos, sub_pos] | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 := by
have mbles : ∀ r : ℝ, MeasurableSet (frontier (Metric.thickening r s)) :=
fun r => isClosed_frontier.measurableSet
have disjs := Metric.... | Mathlib.MeasureTheory.Measure.Portmanteau.400_0.COExymZuBXoOgED | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
a b : ℝ
hab : a < b
mbles : ∀ (r : ℝ), MeasurableSet (frontier (Metric.thickening r s))
disjs : Pairwise (Disjoint on fun r => frontier (Metric.thickening r s))
key : Set.C... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rw [← Real.volume_Ioo, ← aux] at len_pos | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 := by
have mbles : ∀ r : ℝ, MeasurableSet (frontier (Metric.thickening r s)) :=
fun r => isClosed_frontier.measurableSet
have disjs := Metric.... | Mathlib.MeasureTheory.Measure.Portmanteau.400_0.COExymZuBXoOgED | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
a b : ℝ
hab : a < b
mbles : ∀ (r : ℝ), MeasurableSet (frontier (Metric.thickening r s))
disjs : Pairwise (Disjoint on fun r => frontier (Metric.thickening r s))
key : Set.C... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rcases nonempty_of_measure_ne_zero len_pos.ne.symm with ⟨r, ⟨r_in_Ioo, hr⟩⟩ | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 := by
have mbles : ∀ r : ℝ, MeasurableSet (frontier (Metric.thickening r s)) :=
fun r => isClosed_frontier.measurableSet
have disjs := Metric.... | Mathlib.MeasureTheory.Measure.Portmanteau.400_0.COExymZuBXoOgED | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
case intro.intro
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
a b : ℝ
hab : a < b
mbles : ∀ (r : ℝ), MeasurableSet (frontier (Metric.thickening r s))
disjs : Pairwise (Disjoint on fun r => frontier (Metric.thickening ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | refine' ⟨r, r_in_Ioo, _⟩ | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 := by
have mbles : ∀ r : ℝ, MeasurableSet (frontier (Metric.thickening r s)) :=
fun r => isClosed_frontier.measurableSet
have disjs := Metric.... | Mathlib.MeasureTheory.Measure.Portmanteau.400_0.COExymZuBXoOgED | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
case intro.intro
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
a b : ℝ
hab : a < b
mbles : ∀ (r : ℝ), MeasurableSet (frontier (Metric.thickening r s))
disjs : Pairwise (Disjoint on fun r => frontier (Metric.thickening ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | simpa only [mem_setOf_eq, not_lt, le_zero_iff] using hr | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 := by
have mbles : ∀ r : ℝ, MeasurableSet (frontier (Metric.thickening r s)) :=
fun r => isClosed_frontier.measurableSet
have disjs := Metric.... | Mathlib.MeasureTheory.Measure.Portmanteau.400_0.COExymZuBXoOgED | theorem exists_null_frontier_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) {a b : ℝ}
(hab : a < b) : ∃ r ∈ Ioo a b, μ (frontier (Metric.thickening r s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
⊢ ∃ rs, Tendsto rs atTop (𝓝 0) ∧ ∀ (n : ℕ), 0 < rs n ∧ ↑↑μ (frontier (Metric.thickening (rs n) s)) = 0 | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | rcases exists_seq_strictAnti_tendsto (0 : ℝ) with ⟨Rs, ⟨_, ⟨Rs_pos, Rs_lim⟩⟩⟩ | theorem exists_null_frontiers_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) :
∃ rs : ℕ → ℝ,
Tendsto rs atTop (𝓝 0) ∧ ∀ n, 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) s)) = 0 := by
| Mathlib.MeasureTheory.Measure.Portmanteau.414_0.COExymZuBXoOgED | theorem exists_null_frontiers_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) :
∃ rs : ℕ → ℝ,
Tendsto rs atTop (𝓝 0) ∧ ∀ n, 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
case intro.intro.intro
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
Rs : ℕ → ℝ
left✝ : StrictAnti Rs
Rs_pos : ∀ (n : ℕ), 0 < Rs n
Rs_lim : Tendsto Rs atTop (𝓝 0)
⊢ ∃ rs, Tendsto rs atTop (𝓝 0) ∧ ∀ (n : ℕ), 0 < rs n ... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | have obs := fun n : ℕ => exists_null_frontier_thickening μ s (Rs_pos n) | theorem exists_null_frontiers_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) :
∃ rs : ℕ → ℝ,
Tendsto rs atTop (𝓝 0) ∧ ∀ n, 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) s)) = 0 := by
rcases exists_seq_strictAnti_tendsto (0 : ℝ) with ⟨Rs, ⟨_, ⟨Rs_pos, Rs_lim⟩⟩⟩
| Mathlib.MeasureTheory.Measure.Portmanteau.414_0.COExymZuBXoOgED | theorem exists_null_frontiers_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) :
∃ rs : ℕ → ℝ,
Tendsto rs atTop (𝓝 0) ∧ ∀ n, 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
case intro.intro.intro
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
Rs : ℕ → ℝ
left✝ : StrictAnti Rs
Rs_pos : ∀ (n : ℕ), 0 < Rs n
Rs_lim : Tendsto Rs atTop (𝓝 0)
obs : ∀ (n : ℕ), ∃ r ∈ Ioo 0 (Rs n), ↑↑μ (frontier (Me... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | refine' ⟨fun n : ℕ => (obs n).choose, ⟨_, _⟩⟩ | theorem exists_null_frontiers_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) :
∃ rs : ℕ → ℝ,
Tendsto rs atTop (𝓝 0) ∧ ∀ n, 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) s)) = 0 := by
rcases exists_seq_strictAnti_tendsto (0 : ℝ) with ⟨Rs, ⟨_, ⟨Rs_pos, Rs_lim⟩⟩⟩
have obs := fun n : ℕ => exists_n... | Mathlib.MeasureTheory.Measure.Portmanteau.414_0.COExymZuBXoOgED | theorem exists_null_frontiers_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) :
∃ rs : ℕ → ℝ,
Tendsto rs atTop (𝓝 0) ∧ ∀ n, 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
case intro.intro.intro.refine'_1
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
Rs : ℕ → ℝ
left✝ : StrictAnti Rs
Rs_pos : ∀ (n : ℕ), 0 < Rs n
Rs_lim : Tendsto Rs atTop (𝓝 0)
obs : ∀ (n : ℕ), ∃ r ∈ Ioo 0 (Rs n), ↑↑μ (fr... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | exact tendsto_of_tendsto_of_tendsto_of_le_of_le tendsto_const_nhds Rs_lim
(fun n => (obs n).choose_spec.1.1.le) fun n => (obs n).choose_spec.1.2.le | theorem exists_null_frontiers_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) :
∃ rs : ℕ → ℝ,
Tendsto rs atTop (𝓝 0) ∧ ∀ n, 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) s)) = 0 := by
rcases exists_seq_strictAnti_tendsto (0 : ℝ) with ⟨Rs, ⟨_, ⟨Rs_pos, Rs_lim⟩⟩⟩
have obs := fun n : ℕ => exists_n... | Mathlib.MeasureTheory.Measure.Portmanteau.414_0.COExymZuBXoOgED | theorem exists_null_frontiers_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) :
∃ rs : ℕ → ℝ,
Tendsto rs atTop (𝓝 0) ∧ ∀ n, 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
case intro.intro.intro.refine'_2
Ω : Type u_1
inst✝³ : PseudoEMetricSpace Ω
inst✝² : MeasurableSpace Ω
inst✝¹ : OpensMeasurableSpace Ω
μ : Measure Ω
inst✝ : SigmaFinite μ
s : Set Ω
Rs : ℕ → ℝ
left✝ : StrictAnti Rs
Rs_pos : ∀ (n : ℕ), 0 < Rs n
Rs_lim : Tendsto Rs atTop (𝓝 0)
obs : ∀ (n : ℕ), ∃ r ∈ Ioo 0 (Rs n), ↑↑μ (fr... | /-
Copyright (c) 2021 Kalle Kytölä. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Kalle Kytölä
-/
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib... | exact fun n => ⟨(obs n).choose_spec.1.1, (obs n).choose_spec.2⟩ | theorem exists_null_frontiers_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) :
∃ rs : ℕ → ℝ,
Tendsto rs atTop (𝓝 0) ∧ ∀ n, 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) s)) = 0 := by
rcases exists_seq_strictAnti_tendsto (0 : ℝ) with ⟨Rs, ⟨_, ⟨Rs_pos, Rs_lim⟩⟩⟩
have obs := fun n : ℕ => exists_n... | Mathlib.MeasureTheory.Measure.Portmanteau.414_0.COExymZuBXoOgED | theorem exists_null_frontiers_thickening (μ : Measure Ω) [SigmaFinite μ] (s : Set Ω) :
∃ rs : ℕ → ℝ,
Tendsto rs atTop (𝓝 0) ∧ ∀ n, 0 < rs n ∧ μ (frontier (Metric.thickening (rs n) s)) = 0 | Mathlib_MeasureTheory_Measure_Portmanteau |
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