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import Mathlib.Topology.EMetricSpace.Paracompact import Mathlib.Topology.Instances.ENNReal import Mathlib.Analysis.Convex.PartitionOfUnity #align_import topology.metric_space.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal NNReal Filter Set Function TopologicalSpace variable {ι X : Type*} namespace EMetric variable [EMetricSpace X] {K : ι → Set X} {U : ι → Set X}
Mathlib/Topology/MetricSpace/PartitionOfUnity.lean
42
61
theorem eventually_nhds_zero_forall_closedBall_subset (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) : ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, ∀ i, p.2 ∈ K i → closedBall p.2 p.1 ⊆ U i := by
suffices ∀ i, x ∈ K i → ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, closedBall p.2 p.1 ⊆ U i by apply mp_mem ((eventually_all_finite (hfin.point_finite x)).2 this) (mp_mem (@tendsto_snd ℝ≥0∞ _ (𝓝 0) _ _ (hfin.iInter_compl_mem_nhds hK x)) _) apply univ_mem' rintro ⟨r, y⟩ hxy hyU i hi simp only [mem_iInter, mem_compl_iff, not_imp_not, mem_preimage] at hxy exact hyU _ (hxy _ hi) intro i hi rcases nhds_basis_closed_eball.mem_iff.1 ((hU i).mem_nhds <| hKU i hi) with ⟨R, hR₀, hR⟩ rcases ENNReal.lt_iff_exists_nnreal_btwn.mp hR₀ with ⟨r, hr₀, hrR⟩ filter_upwards [prod_mem_prod (eventually_lt_nhds hr₀) (closedBall_mem_nhds x (tsub_pos_iff_lt.2 hrR))] with p hp z hz apply hR calc edist z x ≤ edist z p.2 + edist p.2 x := edist_triangle _ _ _ _ ≤ p.1 + (R - p.1) := add_le_add hz <| le_trans hp.2 <| tsub_le_tsub_left hp.1.out.le _ _ = R := add_tsub_cancel_of_le (lt_trans (by exact hp.1) hrR).le
2,094
import Mathlib.Topology.EMetricSpace.Paracompact import Mathlib.Topology.Instances.ENNReal import Mathlib.Analysis.Convex.PartitionOfUnity #align_import topology.metric_space.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal NNReal Filter Set Function TopologicalSpace variable {ι X : Type*} namespace EMetric variable [EMetricSpace X] {K : ι → Set X} {U : ι → Set X} theorem eventually_nhds_zero_forall_closedBall_subset (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) : ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, ∀ i, p.2 ∈ K i → closedBall p.2 p.1 ⊆ U i := by suffices ∀ i, x ∈ K i → ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, closedBall p.2 p.1 ⊆ U i by apply mp_mem ((eventually_all_finite (hfin.point_finite x)).2 this) (mp_mem (@tendsto_snd ℝ≥0∞ _ (𝓝 0) _ _ (hfin.iInter_compl_mem_nhds hK x)) _) apply univ_mem' rintro ⟨r, y⟩ hxy hyU i hi simp only [mem_iInter, mem_compl_iff, not_imp_not, mem_preimage] at hxy exact hyU _ (hxy _ hi) intro i hi rcases nhds_basis_closed_eball.mem_iff.1 ((hU i).mem_nhds <| hKU i hi) with ⟨R, hR₀, hR⟩ rcases ENNReal.lt_iff_exists_nnreal_btwn.mp hR₀ with ⟨r, hr₀, hrR⟩ filter_upwards [prod_mem_prod (eventually_lt_nhds hr₀) (closedBall_mem_nhds x (tsub_pos_iff_lt.2 hrR))] with p hp z hz apply hR calc edist z x ≤ edist z p.2 + edist p.2 x := edist_triangle _ _ _ _ ≤ p.1 + (R - p.1) := add_le_add hz <| le_trans hp.2 <| tsub_le_tsub_left hp.1.out.le _ _ = R := add_tsub_cancel_of_le (lt_trans (by exact hp.1) hrR).le #align emetric.eventually_nhds_zero_forall_closed_ball_subset EMetric.eventually_nhds_zero_forall_closedBall_subset
Mathlib/Topology/MetricSpace/PartitionOfUnity.lean
64
72
theorem exists_forall_closedBall_subset_aux₁ (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) : ∃ r : ℝ, ∀ᶠ y in 𝓝 x, r ∈ Ioi (0 : ℝ) ∩ ENNReal.ofReal ⁻¹' ⋂ (i) (_ : y ∈ K i), { r | closedBall y r ⊆ U i } := by
have := (ENNReal.continuous_ofReal.tendsto' 0 0 ENNReal.ofReal_zero).eventually (eventually_nhds_zero_forall_closedBall_subset hK hU hKU hfin x).curry rcases this.exists_gt with ⟨r, hr0, hr⟩ refine ⟨r, hr.mono fun y hy => ⟨hr0, ?_⟩⟩ rwa [mem_preimage, mem_iInter₂]
2,094
import Mathlib.Topology.EMetricSpace.Paracompact import Mathlib.Topology.Instances.ENNReal import Mathlib.Analysis.Convex.PartitionOfUnity #align_import topology.metric_space.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal NNReal Filter Set Function TopologicalSpace variable {ι X : Type*} namespace EMetric variable [EMetricSpace X] {K : ι → Set X} {U : ι → Set X} theorem eventually_nhds_zero_forall_closedBall_subset (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) : ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, ∀ i, p.2 ∈ K i → closedBall p.2 p.1 ⊆ U i := by suffices ∀ i, x ∈ K i → ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, closedBall p.2 p.1 ⊆ U i by apply mp_mem ((eventually_all_finite (hfin.point_finite x)).2 this) (mp_mem (@tendsto_snd ℝ≥0∞ _ (𝓝 0) _ _ (hfin.iInter_compl_mem_nhds hK x)) _) apply univ_mem' rintro ⟨r, y⟩ hxy hyU i hi simp only [mem_iInter, mem_compl_iff, not_imp_not, mem_preimage] at hxy exact hyU _ (hxy _ hi) intro i hi rcases nhds_basis_closed_eball.mem_iff.1 ((hU i).mem_nhds <| hKU i hi) with ⟨R, hR₀, hR⟩ rcases ENNReal.lt_iff_exists_nnreal_btwn.mp hR₀ with ⟨r, hr₀, hrR⟩ filter_upwards [prod_mem_prod (eventually_lt_nhds hr₀) (closedBall_mem_nhds x (tsub_pos_iff_lt.2 hrR))] with p hp z hz apply hR calc edist z x ≤ edist z p.2 + edist p.2 x := edist_triangle _ _ _ _ ≤ p.1 + (R - p.1) := add_le_add hz <| le_trans hp.2 <| tsub_le_tsub_left hp.1.out.le _ _ = R := add_tsub_cancel_of_le (lt_trans (by exact hp.1) hrR).le #align emetric.eventually_nhds_zero_forall_closed_ball_subset EMetric.eventually_nhds_zero_forall_closedBall_subset theorem exists_forall_closedBall_subset_aux₁ (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) : ∃ r : ℝ, ∀ᶠ y in 𝓝 x, r ∈ Ioi (0 : ℝ) ∩ ENNReal.ofReal ⁻¹' ⋂ (i) (_ : y ∈ K i), { r | closedBall y r ⊆ U i } := by have := (ENNReal.continuous_ofReal.tendsto' 0 0 ENNReal.ofReal_zero).eventually (eventually_nhds_zero_forall_closedBall_subset hK hU hKU hfin x).curry rcases this.exists_gt with ⟨r, hr0, hr⟩ refine ⟨r, hr.mono fun y hy => ⟨hr0, ?_⟩⟩ rwa [mem_preimage, mem_iInter₂] #align emetric.exists_forall_closed_ball_subset_aux₁ EMetric.exists_forall_closedBall_subset_aux₁ theorem exists_forall_closedBall_subset_aux₂ (y : X) : Convex ℝ (Ioi (0 : ℝ) ∩ ENNReal.ofReal ⁻¹' ⋂ (i) (_ : y ∈ K i), { r | closedBall y r ⊆ U i }) := (convex_Ioi _).inter <| OrdConnected.convex <| OrdConnected.preimage_ennreal_ofReal <| ordConnected_iInter fun i => ordConnected_iInter fun (_ : y ∈ K i) => ordConnected_setOf_closedBall_subset y (U i) #align emetric.exists_forall_closed_ball_subset_aux₂ EMetric.exists_forall_closedBall_subset_aux₂
Mathlib/Topology/MetricSpace/PartitionOfUnity.lean
87
93
theorem exists_continuous_real_forall_closedBall_subset (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) : ∃ δ : C(X, ℝ), (∀ x, 0 < δ x) ∧ ∀ (i), ∀ x ∈ K i, closedBall x (ENNReal.ofReal <| δ x) ⊆ U i := by
simpa only [mem_inter_iff, forall_and, mem_preimage, mem_iInter, @forall_swap ι X] using exists_continuous_forall_mem_convex_of_local_const exists_forall_closedBall_subset_aux₂ (exists_forall_closedBall_subset_aux₁ hK hU hKU hfin)
2,094
import Mathlib.Topology.EMetricSpace.Paracompact import Mathlib.Topology.Instances.ENNReal import Mathlib.Analysis.Convex.PartitionOfUnity #align_import topology.metric_space.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open Topology ENNReal NNReal Filter Set Function TopologicalSpace variable {ι X : Type*} namespace EMetric variable [EMetricSpace X] {K : ι → Set X} {U : ι → Set X} theorem eventually_nhds_zero_forall_closedBall_subset (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) : ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, ∀ i, p.2 ∈ K i → closedBall p.2 p.1 ⊆ U i := by suffices ∀ i, x ∈ K i → ∀ᶠ p : ℝ≥0∞ × X in 𝓝 0 ×ˢ 𝓝 x, closedBall p.2 p.1 ⊆ U i by apply mp_mem ((eventually_all_finite (hfin.point_finite x)).2 this) (mp_mem (@tendsto_snd ℝ≥0∞ _ (𝓝 0) _ _ (hfin.iInter_compl_mem_nhds hK x)) _) apply univ_mem' rintro ⟨r, y⟩ hxy hyU i hi simp only [mem_iInter, mem_compl_iff, not_imp_not, mem_preimage] at hxy exact hyU _ (hxy _ hi) intro i hi rcases nhds_basis_closed_eball.mem_iff.1 ((hU i).mem_nhds <| hKU i hi) with ⟨R, hR₀, hR⟩ rcases ENNReal.lt_iff_exists_nnreal_btwn.mp hR₀ with ⟨r, hr₀, hrR⟩ filter_upwards [prod_mem_prod (eventually_lt_nhds hr₀) (closedBall_mem_nhds x (tsub_pos_iff_lt.2 hrR))] with p hp z hz apply hR calc edist z x ≤ edist z p.2 + edist p.2 x := edist_triangle _ _ _ _ ≤ p.1 + (R - p.1) := add_le_add hz <| le_trans hp.2 <| tsub_le_tsub_left hp.1.out.le _ _ = R := add_tsub_cancel_of_le (lt_trans (by exact hp.1) hrR).le #align emetric.eventually_nhds_zero_forall_closed_ball_subset EMetric.eventually_nhds_zero_forall_closedBall_subset theorem exists_forall_closedBall_subset_aux₁ (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) (x : X) : ∃ r : ℝ, ∀ᶠ y in 𝓝 x, r ∈ Ioi (0 : ℝ) ∩ ENNReal.ofReal ⁻¹' ⋂ (i) (_ : y ∈ K i), { r | closedBall y r ⊆ U i } := by have := (ENNReal.continuous_ofReal.tendsto' 0 0 ENNReal.ofReal_zero).eventually (eventually_nhds_zero_forall_closedBall_subset hK hU hKU hfin x).curry rcases this.exists_gt with ⟨r, hr0, hr⟩ refine ⟨r, hr.mono fun y hy => ⟨hr0, ?_⟩⟩ rwa [mem_preimage, mem_iInter₂] #align emetric.exists_forall_closed_ball_subset_aux₁ EMetric.exists_forall_closedBall_subset_aux₁ theorem exists_forall_closedBall_subset_aux₂ (y : X) : Convex ℝ (Ioi (0 : ℝ) ∩ ENNReal.ofReal ⁻¹' ⋂ (i) (_ : y ∈ K i), { r | closedBall y r ⊆ U i }) := (convex_Ioi _).inter <| OrdConnected.convex <| OrdConnected.preimage_ennreal_ofReal <| ordConnected_iInter fun i => ordConnected_iInter fun (_ : y ∈ K i) => ordConnected_setOf_closedBall_subset y (U i) #align emetric.exists_forall_closed_ball_subset_aux₂ EMetric.exists_forall_closedBall_subset_aux₂ theorem exists_continuous_real_forall_closedBall_subset (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) : ∃ δ : C(X, ℝ), (∀ x, 0 < δ x) ∧ ∀ (i), ∀ x ∈ K i, closedBall x (ENNReal.ofReal <| δ x) ⊆ U i := by simpa only [mem_inter_iff, forall_and, mem_preimage, mem_iInter, @forall_swap ι X] using exists_continuous_forall_mem_convex_of_local_const exists_forall_closedBall_subset_aux₂ (exists_forall_closedBall_subset_aux₁ hK hU hKU hfin) #align emetric.exists_continuous_real_forall_closed_ball_subset EMetric.exists_continuous_real_forall_closedBall_subset
Mathlib/Topology/MetricSpace/PartitionOfUnity.lean
100
106
theorem exists_continuous_nnreal_forall_closedBall_subset (hK : ∀ i, IsClosed (K i)) (hU : ∀ i, IsOpen (U i)) (hKU : ∀ i, K i ⊆ U i) (hfin : LocallyFinite K) : ∃ δ : C(X, ℝ≥0), (∀ x, 0 < δ x) ∧ ∀ (i), ∀ x ∈ K i, closedBall x (δ x) ⊆ U i := by
rcases exists_continuous_real_forall_closedBall_subset hK hU hKU hfin with ⟨δ, hδ₀, hδ⟩ lift δ to C(X, ℝ≥0) using fun x => (hδ₀ x).le refine ⟨δ, hδ₀, fun i x hi => ?_⟩ simpa only [← ENNReal.ofReal_coe_nnreal] using hδ i x hi
2,094
import Mathlib.Geometry.Manifold.Algebra.Structures import Mathlib.Geometry.Manifold.BumpFunction import Mathlib.Topology.MetricSpace.PartitionOfUnity import Mathlib.Topology.ShrinkingLemma #align_import geometry.manifold.partition_of_unity from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" universe uι uE uH uM uF open Function Filter FiniteDimensional Set open scoped Topology Manifold Classical Filter noncomputable section variable {ι : Type uι} {E : Type uE} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] {F : Type uF} [NormedAddCommGroup F] [NormedSpace ℝ F] {H : Type uH} [TopologicalSpace H] (I : ModelWithCorners ℝ E H) {M : Type uM} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] variable (ι M) -- Porting note(#5171): was @[nolint has_nonempty_instance] structure SmoothBumpCovering (s : Set M := univ) where c : ι → M toFun : ∀ i, SmoothBumpFunction I (c i) c_mem' : ∀ i, c i ∈ s locallyFinite' : LocallyFinite fun i => support (toFun i) eventuallyEq_one' : ∀ x ∈ s, ∃ i, toFun i =ᶠ[𝓝 x] 1 #align smooth_bump_covering SmoothBumpCovering structure SmoothPartitionOfUnity (s : Set M := univ) where toFun : ι → C^∞⟮I, M; 𝓘(ℝ), ℝ⟯ locallyFinite' : LocallyFinite fun i => support (toFun i) nonneg' : ∀ i x, 0 ≤ toFun i x sum_eq_one' : ∀ x ∈ s, ∑ᶠ i, toFun i x = 1 sum_le_one' : ∀ x, ∑ᶠ i, toFun i x ≤ 1 #align smooth_partition_of_unity SmoothPartitionOfUnity variable {ι I M} namespace SmoothPartitionOfUnity variable {s : Set M} (f : SmoothPartitionOfUnity ι I M s) {n : ℕ∞} instance {s : Set M} : FunLike (SmoothPartitionOfUnity ι I M s) ι C^∞⟮I, M; 𝓘(ℝ), ℝ⟯ where coe := toFun coe_injective' f g h := by cases f; cases g; congr protected theorem locallyFinite : LocallyFinite fun i => support (f i) := f.locallyFinite' #align smooth_partition_of_unity.locally_finite SmoothPartitionOfUnity.locallyFinite theorem nonneg (i : ι) (x : M) : 0 ≤ f i x := f.nonneg' i x #align smooth_partition_of_unity.nonneg SmoothPartitionOfUnity.nonneg theorem sum_eq_one {x} (hx : x ∈ s) : ∑ᶠ i, f i x = 1 := f.sum_eq_one' x hx #align smooth_partition_of_unity.sum_eq_one SmoothPartitionOfUnity.sum_eq_one
Mathlib/Geometry/Manifold/PartitionOfUnity.lean
157
162
theorem exists_pos_of_mem {x} (hx : x ∈ s) : ∃ i, 0 < f i x := by
by_contra! h have H : ∀ i, f i x = 0 := fun i ↦ le_antisymm (h i) (f.nonneg i x) have := f.sum_eq_one hx simp_rw [H] at this simpa
2,095
import Mathlib.Geometry.Manifold.Diffeomorph import Mathlib.Geometry.Manifold.Instances.Real import Mathlib.Geometry.Manifold.PartitionOfUnity #align_import geometry.manifold.whitney_embedding from "leanprover-community/mathlib"@"86c29aefdba50b3f33e86e52e3b2f51a0d8f0282" universe uι uE uH uM variable {ι : Type uι} {E : Type uE} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] {H : Type uH} [TopologicalSpace H] {I : ModelWithCorners ℝ E H} {M : Type uM} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] open Function Filter FiniteDimensional Set open scoped Topology Manifold Classical Filter noncomputable section namespace SmoothBumpCovering variable [T2Space M] [hi : Fintype ι] {s : Set M} (f : SmoothBumpCovering ι I M s) def embeddingPiTangent : C^∞⟮I, M; 𝓘(ℝ, ι → E × ℝ), ι → E × ℝ⟯ where val x i := (f i x • extChartAt I (f.c i) x, f i x) property := contMDiff_pi_space.2 fun i => ((f i).smooth_smul contMDiffOn_extChartAt).prod_mk_space (f i).smooth #align smooth_bump_covering.embedding_pi_tangent SmoothBumpCovering.embeddingPiTangent @[local simp] theorem embeddingPiTangent_coe : ⇑f.embeddingPiTangent = fun x i => (f i x • extChartAt I (f.c i) x, f i x) := rfl #align smooth_bump_covering.embedding_pi_tangent_coe SmoothBumpCovering.embeddingPiTangent_coe
Mathlib/Geometry/Manifold/WhitneyEmbedding.lean
68
75
theorem embeddingPiTangent_injOn : InjOn f.embeddingPiTangent s := by
intro x hx y _ h simp only [embeddingPiTangent_coe, funext_iff] at h obtain ⟨h₁, h₂⟩ := Prod.mk.inj_iff.1 (h (f.ind x hx)) rw [f.apply_ind x hx] at h₂ rw [← h₂, f.apply_ind x hx, one_smul, one_smul] at h₁ have := f.mem_extChartAt_source_of_eq_one h₂.symm exact (extChartAt I (f.c _)).injOn (f.mem_extChartAt_ind_source x hx) this h₁
2,096
import Mathlib.Geometry.Manifold.Diffeomorph import Mathlib.Geometry.Manifold.Instances.Real import Mathlib.Geometry.Manifold.PartitionOfUnity #align_import geometry.manifold.whitney_embedding from "leanprover-community/mathlib"@"86c29aefdba50b3f33e86e52e3b2f51a0d8f0282" universe uι uE uH uM variable {ι : Type uι} {E : Type uE} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] {H : Type uH} [TopologicalSpace H] {I : ModelWithCorners ℝ E H} {M : Type uM} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] open Function Filter FiniteDimensional Set open scoped Topology Manifold Classical Filter noncomputable section namespace SmoothBumpCovering variable [T2Space M] [hi : Fintype ι] {s : Set M} (f : SmoothBumpCovering ι I M s) def embeddingPiTangent : C^∞⟮I, M; 𝓘(ℝ, ι → E × ℝ), ι → E × ℝ⟯ where val x i := (f i x • extChartAt I (f.c i) x, f i x) property := contMDiff_pi_space.2 fun i => ((f i).smooth_smul contMDiffOn_extChartAt).prod_mk_space (f i).smooth #align smooth_bump_covering.embedding_pi_tangent SmoothBumpCovering.embeddingPiTangent @[local simp] theorem embeddingPiTangent_coe : ⇑f.embeddingPiTangent = fun x i => (f i x • extChartAt I (f.c i) x, f i x) := rfl #align smooth_bump_covering.embedding_pi_tangent_coe SmoothBumpCovering.embeddingPiTangent_coe theorem embeddingPiTangent_injOn : InjOn f.embeddingPiTangent s := by intro x hx y _ h simp only [embeddingPiTangent_coe, funext_iff] at h obtain ⟨h₁, h₂⟩ := Prod.mk.inj_iff.1 (h (f.ind x hx)) rw [f.apply_ind x hx] at h₂ rw [← h₂, f.apply_ind x hx, one_smul, one_smul] at h₁ have := f.mem_extChartAt_source_of_eq_one h₂.symm exact (extChartAt I (f.c _)).injOn (f.mem_extChartAt_ind_source x hx) this h₁ #align smooth_bump_covering.embedding_pi_tangent_inj_on SmoothBumpCovering.embeddingPiTangent_injOn theorem embeddingPiTangent_injective (f : SmoothBumpCovering ι I M) : Injective f.embeddingPiTangent := injective_iff_injOn_univ.2 f.embeddingPiTangent_injOn #align smooth_bump_covering.embedding_pi_tangent_injective SmoothBumpCovering.embeddingPiTangent_injective
Mathlib/Geometry/Manifold/WhitneyEmbedding.lean
83
98
theorem comp_embeddingPiTangent_mfderiv (x : M) (hx : x ∈ s) : ((ContinuousLinearMap.fst ℝ E ℝ).comp (@ContinuousLinearMap.proj ℝ _ ι (fun _ => E × ℝ) _ _ (fun _ => inferInstance) (f.ind x hx))).comp (mfderiv I 𝓘(ℝ, ι → E × ℝ) f.embeddingPiTangent x) = mfderiv I I (chartAt H (f.c (f.ind x hx))) x := by
set L := (ContinuousLinearMap.fst ℝ E ℝ).comp (@ContinuousLinearMap.proj ℝ _ ι (fun _ => E × ℝ) _ _ (fun _ => inferInstance) (f.ind x hx)) have := L.hasMFDerivAt.comp x f.embeddingPiTangent.smooth.mdifferentiableAt.hasMFDerivAt convert hasMFDerivAt_unique this _ refine (hasMFDerivAt_extChartAt I (f.mem_chartAt_ind_source x hx)).congr_of_eventuallyEq ?_ refine (f.eventuallyEq_one x hx).mono fun y hy => ?_ simp only [L, embeddingPiTangent_coe, ContinuousLinearMap.coe_comp', (· ∘ ·), ContinuousLinearMap.coe_fst', ContinuousLinearMap.proj_apply] rw [hy, Pi.one_apply, one_smul]
2,096
import Mathlib.Geometry.Manifold.Diffeomorph import Mathlib.Geometry.Manifold.Instances.Real import Mathlib.Geometry.Manifold.PartitionOfUnity #align_import geometry.manifold.whitney_embedding from "leanprover-community/mathlib"@"86c29aefdba50b3f33e86e52e3b2f51a0d8f0282" universe uι uE uH uM variable {ι : Type uι} {E : Type uE} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] {H : Type uH} [TopologicalSpace H] {I : ModelWithCorners ℝ E H} {M : Type uM} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] open Function Filter FiniteDimensional Set open scoped Topology Manifold Classical Filter noncomputable section namespace SmoothBumpCovering variable [T2Space M] [hi : Fintype ι] {s : Set M} (f : SmoothBumpCovering ι I M s) def embeddingPiTangent : C^∞⟮I, M; 𝓘(ℝ, ι → E × ℝ), ι → E × ℝ⟯ where val x i := (f i x • extChartAt I (f.c i) x, f i x) property := contMDiff_pi_space.2 fun i => ((f i).smooth_smul contMDiffOn_extChartAt).prod_mk_space (f i).smooth #align smooth_bump_covering.embedding_pi_tangent SmoothBumpCovering.embeddingPiTangent @[local simp] theorem embeddingPiTangent_coe : ⇑f.embeddingPiTangent = fun x i => (f i x • extChartAt I (f.c i) x, f i x) := rfl #align smooth_bump_covering.embedding_pi_tangent_coe SmoothBumpCovering.embeddingPiTangent_coe theorem embeddingPiTangent_injOn : InjOn f.embeddingPiTangent s := by intro x hx y _ h simp only [embeddingPiTangent_coe, funext_iff] at h obtain ⟨h₁, h₂⟩ := Prod.mk.inj_iff.1 (h (f.ind x hx)) rw [f.apply_ind x hx] at h₂ rw [← h₂, f.apply_ind x hx, one_smul, one_smul] at h₁ have := f.mem_extChartAt_source_of_eq_one h₂.symm exact (extChartAt I (f.c _)).injOn (f.mem_extChartAt_ind_source x hx) this h₁ #align smooth_bump_covering.embedding_pi_tangent_inj_on SmoothBumpCovering.embeddingPiTangent_injOn theorem embeddingPiTangent_injective (f : SmoothBumpCovering ι I M) : Injective f.embeddingPiTangent := injective_iff_injOn_univ.2 f.embeddingPiTangent_injOn #align smooth_bump_covering.embedding_pi_tangent_injective SmoothBumpCovering.embeddingPiTangent_injective theorem comp_embeddingPiTangent_mfderiv (x : M) (hx : x ∈ s) : ((ContinuousLinearMap.fst ℝ E ℝ).comp (@ContinuousLinearMap.proj ℝ _ ι (fun _ => E × ℝ) _ _ (fun _ => inferInstance) (f.ind x hx))).comp (mfderiv I 𝓘(ℝ, ι → E × ℝ) f.embeddingPiTangent x) = mfderiv I I (chartAt H (f.c (f.ind x hx))) x := by set L := (ContinuousLinearMap.fst ℝ E ℝ).comp (@ContinuousLinearMap.proj ℝ _ ι (fun _ => E × ℝ) _ _ (fun _ => inferInstance) (f.ind x hx)) have := L.hasMFDerivAt.comp x f.embeddingPiTangent.smooth.mdifferentiableAt.hasMFDerivAt convert hasMFDerivAt_unique this _ refine (hasMFDerivAt_extChartAt I (f.mem_chartAt_ind_source x hx)).congr_of_eventuallyEq ?_ refine (f.eventuallyEq_one x hx).mono fun y hy => ?_ simp only [L, embeddingPiTangent_coe, ContinuousLinearMap.coe_comp', (· ∘ ·), ContinuousLinearMap.coe_fst', ContinuousLinearMap.proj_apply] rw [hy, Pi.one_apply, one_smul] #align smooth_bump_covering.comp_embedding_pi_tangent_mfderiv SmoothBumpCovering.comp_embeddingPiTangent_mfderiv
Mathlib/Geometry/Manifold/WhitneyEmbedding.lean
101
107
theorem embeddingPiTangent_ker_mfderiv (x : M) (hx : x ∈ s) : LinearMap.ker (mfderiv I 𝓘(ℝ, ι → E × ℝ) f.embeddingPiTangent x) = ⊥ := by
apply bot_unique rw [← (mdifferentiable_chart I (f.c (f.ind x hx))).ker_mfderiv_eq_bot (f.mem_chartAt_ind_source x hx), ← comp_embeddingPiTangent_mfderiv] exact LinearMap.ker_le_ker_comp _ _
2,096
import Mathlib.Geometry.Manifold.Diffeomorph import Mathlib.Geometry.Manifold.Instances.Real import Mathlib.Geometry.Manifold.PartitionOfUnity #align_import geometry.manifold.whitney_embedding from "leanprover-community/mathlib"@"86c29aefdba50b3f33e86e52e3b2f51a0d8f0282" universe uι uE uH uM variable {ι : Type uι} {E : Type uE} [NormedAddCommGroup E] [NormedSpace ℝ E] [FiniteDimensional ℝ E] {H : Type uH} [TopologicalSpace H] {I : ModelWithCorners ℝ E H} {M : Type uM} [TopologicalSpace M] [ChartedSpace H M] [SmoothManifoldWithCorners I M] open Function Filter FiniteDimensional Set open scoped Topology Manifold Classical Filter noncomputable section namespace SmoothBumpCovering variable [T2Space M] [hi : Fintype ι] {s : Set M} (f : SmoothBumpCovering ι I M s) def embeddingPiTangent : C^∞⟮I, M; 𝓘(ℝ, ι → E × ℝ), ι → E × ℝ⟯ where val x i := (f i x • extChartAt I (f.c i) x, f i x) property := contMDiff_pi_space.2 fun i => ((f i).smooth_smul contMDiffOn_extChartAt).prod_mk_space (f i).smooth #align smooth_bump_covering.embedding_pi_tangent SmoothBumpCovering.embeddingPiTangent @[local simp] theorem embeddingPiTangent_coe : ⇑f.embeddingPiTangent = fun x i => (f i x • extChartAt I (f.c i) x, f i x) := rfl #align smooth_bump_covering.embedding_pi_tangent_coe SmoothBumpCovering.embeddingPiTangent_coe theorem embeddingPiTangent_injOn : InjOn f.embeddingPiTangent s := by intro x hx y _ h simp only [embeddingPiTangent_coe, funext_iff] at h obtain ⟨h₁, h₂⟩ := Prod.mk.inj_iff.1 (h (f.ind x hx)) rw [f.apply_ind x hx] at h₂ rw [← h₂, f.apply_ind x hx, one_smul, one_smul] at h₁ have := f.mem_extChartAt_source_of_eq_one h₂.symm exact (extChartAt I (f.c _)).injOn (f.mem_extChartAt_ind_source x hx) this h₁ #align smooth_bump_covering.embedding_pi_tangent_inj_on SmoothBumpCovering.embeddingPiTangent_injOn theorem embeddingPiTangent_injective (f : SmoothBumpCovering ι I M) : Injective f.embeddingPiTangent := injective_iff_injOn_univ.2 f.embeddingPiTangent_injOn #align smooth_bump_covering.embedding_pi_tangent_injective SmoothBumpCovering.embeddingPiTangent_injective theorem comp_embeddingPiTangent_mfderiv (x : M) (hx : x ∈ s) : ((ContinuousLinearMap.fst ℝ E ℝ).comp (@ContinuousLinearMap.proj ℝ _ ι (fun _ => E × ℝ) _ _ (fun _ => inferInstance) (f.ind x hx))).comp (mfderiv I 𝓘(ℝ, ι → E × ℝ) f.embeddingPiTangent x) = mfderiv I I (chartAt H (f.c (f.ind x hx))) x := by set L := (ContinuousLinearMap.fst ℝ E ℝ).comp (@ContinuousLinearMap.proj ℝ _ ι (fun _ => E × ℝ) _ _ (fun _ => inferInstance) (f.ind x hx)) have := L.hasMFDerivAt.comp x f.embeddingPiTangent.smooth.mdifferentiableAt.hasMFDerivAt convert hasMFDerivAt_unique this _ refine (hasMFDerivAt_extChartAt I (f.mem_chartAt_ind_source x hx)).congr_of_eventuallyEq ?_ refine (f.eventuallyEq_one x hx).mono fun y hy => ?_ simp only [L, embeddingPiTangent_coe, ContinuousLinearMap.coe_comp', (· ∘ ·), ContinuousLinearMap.coe_fst', ContinuousLinearMap.proj_apply] rw [hy, Pi.one_apply, one_smul] #align smooth_bump_covering.comp_embedding_pi_tangent_mfderiv SmoothBumpCovering.comp_embeddingPiTangent_mfderiv theorem embeddingPiTangent_ker_mfderiv (x : M) (hx : x ∈ s) : LinearMap.ker (mfderiv I 𝓘(ℝ, ι → E × ℝ) f.embeddingPiTangent x) = ⊥ := by apply bot_unique rw [← (mdifferentiable_chart I (f.c (f.ind x hx))).ker_mfderiv_eq_bot (f.mem_chartAt_ind_source x hx), ← comp_embeddingPiTangent_mfderiv] exact LinearMap.ker_le_ker_comp _ _ #align smooth_bump_covering.embedding_pi_tangent_ker_mfderiv SmoothBumpCovering.embeddingPiTangent_ker_mfderiv theorem embeddingPiTangent_injective_mfderiv (x : M) (hx : x ∈ s) : Injective (mfderiv I 𝓘(ℝ, ι → E × ℝ) f.embeddingPiTangent x) := LinearMap.ker_eq_bot.1 (f.embeddingPiTangent_ker_mfderiv x hx) #align smooth_bump_covering.embedding_pi_tangent_injective_mfderiv SmoothBumpCovering.embeddingPiTangent_injective_mfderiv
Mathlib/Geometry/Manifold/WhitneyEmbedding.lean
118
133
theorem exists_immersion_euclidean [Finite ι] (f : SmoothBumpCovering ι I M) : ∃ (n : ℕ) (e : M → EuclideanSpace ℝ (Fin n)), Smooth I (𝓡 n) e ∧ Injective e ∧ ∀ x : M, Injective (mfderiv I (𝓡 n) e x) := by
cases nonempty_fintype ι set F := EuclideanSpace ℝ (Fin <| finrank ℝ (ι → E × ℝ)) letI : IsNoetherian ℝ (E × ℝ) := IsNoetherian.iff_fg.2 inferInstance letI : FiniteDimensional ℝ (ι → E × ℝ) := IsNoetherian.iff_fg.1 inferInstance set eEF : (ι → E × ℝ) ≃L[ℝ] F := ContinuousLinearEquiv.ofFinrankEq finrank_euclideanSpace_fin.symm refine ⟨_, eEF ∘ f.embeddingPiTangent, eEF.toDiffeomorph.smooth.comp f.embeddingPiTangent.smooth, eEF.injective.comp f.embeddingPiTangent_injective, fun x => ?_⟩ rw [mfderiv_comp _ eEF.differentiableAt.mdifferentiableAt f.embeddingPiTangent.smooth.mdifferentiableAt, eEF.mfderiv_eq] exact eEF.injective.comp (f.embeddingPiTangent_injective_mfderiv _ trivial)
2,096
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Extreme #align_import analysis.convex.independent from "leanprover-community/mathlib"@"fefd8a38be7811574cd2ec2f77d3a393a407f112" open scoped Classical open Affine open Finset Function variable {𝕜 E ι : Type*} section OrderedSemiring variable (𝕜) [OrderedSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E} def ConvexIndependent (p : ι → E) : Prop := ∀ (s : Set ι) (x : ι), p x ∈ convexHull 𝕜 (p '' s) → x ∈ s #align convex_independent ConvexIndependent variable {𝕜}
Mathlib/Analysis/Convex/Independent.lean
65
69
theorem Subsingleton.convexIndependent [Subsingleton ι] (p : ι → E) : ConvexIndependent 𝕜 p := by
intro s x hx have : (convexHull 𝕜 (p '' s)).Nonempty := ⟨p x, hx⟩ rw [convexHull_nonempty_iff, Set.image_nonempty] at this rwa [Subsingleton.mem_iff_nonempty]
2,097
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Extreme #align_import analysis.convex.independent from "leanprover-community/mathlib"@"fefd8a38be7811574cd2ec2f77d3a393a407f112" open scoped Classical open Affine open Finset Function variable {𝕜 E ι : Type*} section OrderedSemiring variable (𝕜) [OrderedSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E} def ConvexIndependent (p : ι → E) : Prop := ∀ (s : Set ι) (x : ι), p x ∈ convexHull 𝕜 (p '' s) → x ∈ s #align convex_independent ConvexIndependent variable {𝕜} theorem Subsingleton.convexIndependent [Subsingleton ι] (p : ι → E) : ConvexIndependent 𝕜 p := by intro s x hx have : (convexHull 𝕜 (p '' s)).Nonempty := ⟨p x, hx⟩ rw [convexHull_nonempty_iff, Set.image_nonempty] at this rwa [Subsingleton.mem_iff_nonempty] #align subsingleton.convex_independent Subsingleton.convexIndependent protected theorem ConvexIndependent.injective {p : ι → E} (hc : ConvexIndependent 𝕜 p) : Function.Injective p := by refine fun i j hij => hc {j} i ?_ rw [hij, Set.image_singleton, convexHull_singleton] exact Set.mem_singleton _ #align convex_independent.injective ConvexIndependent.injective
Mathlib/Analysis/Convex/Independent.lean
82
86
theorem ConvexIndependent.comp_embedding {ι' : Type*} (f : ι' ↪ ι) {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 (p ∘ f) := by
intro s x hx rw [← f.injective.mem_set_image] exact hc _ _ (by rwa [Set.image_image])
2,097
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Extreme #align_import analysis.convex.independent from "leanprover-community/mathlib"@"fefd8a38be7811574cd2ec2f77d3a393a407f112" open scoped Classical open Affine open Finset Function variable {𝕜 E ι : Type*} section OrderedSemiring variable (𝕜) [OrderedSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E} def ConvexIndependent (p : ι → E) : Prop := ∀ (s : Set ι) (x : ι), p x ∈ convexHull 𝕜 (p '' s) → x ∈ s #align convex_independent ConvexIndependent variable {𝕜} theorem Subsingleton.convexIndependent [Subsingleton ι] (p : ι → E) : ConvexIndependent 𝕜 p := by intro s x hx have : (convexHull 𝕜 (p '' s)).Nonempty := ⟨p x, hx⟩ rw [convexHull_nonempty_iff, Set.image_nonempty] at this rwa [Subsingleton.mem_iff_nonempty] #align subsingleton.convex_independent Subsingleton.convexIndependent protected theorem ConvexIndependent.injective {p : ι → E} (hc : ConvexIndependent 𝕜 p) : Function.Injective p := by refine fun i j hij => hc {j} i ?_ rw [hij, Set.image_singleton, convexHull_singleton] exact Set.mem_singleton _ #align convex_independent.injective ConvexIndependent.injective theorem ConvexIndependent.comp_embedding {ι' : Type*} (f : ι' ↪ ι) {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 (p ∘ f) := by intro s x hx rw [← f.injective.mem_set_image] exact hc _ _ (by rwa [Set.image_image]) #align convex_independent.comp_embedding ConvexIndependent.comp_embedding protected theorem ConvexIndependent.subtype {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) : ConvexIndependent 𝕜 fun i : s => p i := hc.comp_embedding (Embedding.subtype _) #align convex_independent.subtype ConvexIndependent.subtype protected theorem ConvexIndependent.range {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) := by let f : Set.range p → ι := fun x => x.property.choose have hf : ∀ x, p (f x) = x := fun x => x.property.choose_spec let fe : Set.range p ↪ ι := ⟨f, fun x₁ x₂ he => Subtype.ext (hf x₁ ▸ hf x₂ ▸ he ▸ rfl)⟩ convert hc.comp_embedding fe ext rw [Embedding.coeFn_mk, comp_apply, hf] #align convex_independent.range ConvexIndependent.range protected theorem ConvexIndependent.mono {s t : Set E} (hc : ConvexIndependent 𝕜 ((↑) : t → E)) (hs : s ⊆ t) : ConvexIndependent 𝕜 ((↑) : s → E) := hc.comp_embedding (s.embeddingOfSubset t hs) #align convex_independent.mono ConvexIndependent.mono theorem Function.Injective.convexIndependent_iff_set {p : ι → E} (hi : Function.Injective p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) ↔ ConvexIndependent 𝕜 p := ⟨fun hc => hc.comp_embedding (⟨fun i => ⟨p i, Set.mem_range_self _⟩, fun _ _ h => hi (Subtype.mk_eq_mk.1 h)⟩ : ι ↪ Set.range p), ConvexIndependent.range⟩ #align function.injective.convex_independent_iff_set Function.Injective.convexIndependent_iff_set @[simp] protected theorem ConvexIndependent.mem_convexHull_iff {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) (i : ι) : p i ∈ convexHull 𝕜 (p '' s) ↔ i ∈ s := ⟨hc _ _, fun hi => subset_convexHull 𝕜 _ (Set.mem_image_of_mem p hi)⟩ #align convex_independent.mem_convex_hull_iff ConvexIndependent.mem_convexHull_iff
Mathlib/Analysis/Convex/Independent.lean
133
141
theorem convexIndependent_iff_not_mem_convexHull_diff {p : ι → E} : ConvexIndependent 𝕜 p ↔ ∀ i s, p i ∉ convexHull 𝕜 (p '' (s \ {i})) := by
refine ⟨fun hc i s h => ?_, fun h s i hi => ?_⟩ · rw [hc.mem_convexHull_iff] at h exact h.2 (Set.mem_singleton _) · by_contra H refine h i s ?_ rw [Set.diff_singleton_eq_self H] exact hi
2,097
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Extreme #align_import analysis.convex.independent from "leanprover-community/mathlib"@"fefd8a38be7811574cd2ec2f77d3a393a407f112" open scoped Classical open Affine open Finset Function variable {𝕜 E ι : Type*} section OrderedSemiring variable (𝕜) [OrderedSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E} def ConvexIndependent (p : ι → E) : Prop := ∀ (s : Set ι) (x : ι), p x ∈ convexHull 𝕜 (p '' s) → x ∈ s #align convex_independent ConvexIndependent variable {𝕜} theorem Subsingleton.convexIndependent [Subsingleton ι] (p : ι → E) : ConvexIndependent 𝕜 p := by intro s x hx have : (convexHull 𝕜 (p '' s)).Nonempty := ⟨p x, hx⟩ rw [convexHull_nonempty_iff, Set.image_nonempty] at this rwa [Subsingleton.mem_iff_nonempty] #align subsingleton.convex_independent Subsingleton.convexIndependent protected theorem ConvexIndependent.injective {p : ι → E} (hc : ConvexIndependent 𝕜 p) : Function.Injective p := by refine fun i j hij => hc {j} i ?_ rw [hij, Set.image_singleton, convexHull_singleton] exact Set.mem_singleton _ #align convex_independent.injective ConvexIndependent.injective theorem ConvexIndependent.comp_embedding {ι' : Type*} (f : ι' ↪ ι) {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 (p ∘ f) := by intro s x hx rw [← f.injective.mem_set_image] exact hc _ _ (by rwa [Set.image_image]) #align convex_independent.comp_embedding ConvexIndependent.comp_embedding protected theorem ConvexIndependent.subtype {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) : ConvexIndependent 𝕜 fun i : s => p i := hc.comp_embedding (Embedding.subtype _) #align convex_independent.subtype ConvexIndependent.subtype protected theorem ConvexIndependent.range {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) := by let f : Set.range p → ι := fun x => x.property.choose have hf : ∀ x, p (f x) = x := fun x => x.property.choose_spec let fe : Set.range p ↪ ι := ⟨f, fun x₁ x₂ he => Subtype.ext (hf x₁ ▸ hf x₂ ▸ he ▸ rfl)⟩ convert hc.comp_embedding fe ext rw [Embedding.coeFn_mk, comp_apply, hf] #align convex_independent.range ConvexIndependent.range protected theorem ConvexIndependent.mono {s t : Set E} (hc : ConvexIndependent 𝕜 ((↑) : t → E)) (hs : s ⊆ t) : ConvexIndependent 𝕜 ((↑) : s → E) := hc.comp_embedding (s.embeddingOfSubset t hs) #align convex_independent.mono ConvexIndependent.mono theorem Function.Injective.convexIndependent_iff_set {p : ι → E} (hi : Function.Injective p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) ↔ ConvexIndependent 𝕜 p := ⟨fun hc => hc.comp_embedding (⟨fun i => ⟨p i, Set.mem_range_self _⟩, fun _ _ h => hi (Subtype.mk_eq_mk.1 h)⟩ : ι ↪ Set.range p), ConvexIndependent.range⟩ #align function.injective.convex_independent_iff_set Function.Injective.convexIndependent_iff_set @[simp] protected theorem ConvexIndependent.mem_convexHull_iff {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) (i : ι) : p i ∈ convexHull 𝕜 (p '' s) ↔ i ∈ s := ⟨hc _ _, fun hi => subset_convexHull 𝕜 _ (Set.mem_image_of_mem p hi)⟩ #align convex_independent.mem_convex_hull_iff ConvexIndependent.mem_convexHull_iff theorem convexIndependent_iff_not_mem_convexHull_diff {p : ι → E} : ConvexIndependent 𝕜 p ↔ ∀ i s, p i ∉ convexHull 𝕜 (p '' (s \ {i})) := by refine ⟨fun hc i s h => ?_, fun h s i hi => ?_⟩ · rw [hc.mem_convexHull_iff] at h exact h.2 (Set.mem_singleton _) · by_contra H refine h i s ?_ rw [Set.diff_singleton_eq_self H] exact hi #align convex_independent_iff_not_mem_convex_hull_diff convexIndependent_iff_not_mem_convexHull_diff
Mathlib/Analysis/Convex/Independent.lean
144
153
theorem convexIndependent_set_iff_inter_convexHull_subset {s : Set E} : ConvexIndependent 𝕜 ((↑) : s → E) ↔ ∀ t, t ⊆ s → s ∩ convexHull 𝕜 t ⊆ t := by
constructor · rintro hc t h x ⟨hxs, hxt⟩ refine hc { x | ↑x ∈ t } ⟨x, hxs⟩ ?_ rw [Subtype.coe_image_of_subset h] exact hxt · intro hc t x h rw [← Subtype.coe_injective.mem_set_image] exact hc (t.image ((↑) : s → E)) (Subtype.coe_image_subset s t) ⟨x.prop, h⟩
2,097
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Extreme #align_import analysis.convex.independent from "leanprover-community/mathlib"@"fefd8a38be7811574cd2ec2f77d3a393a407f112" open scoped Classical open Affine open Finset Function variable {𝕜 E ι : Type*} section OrderedSemiring variable (𝕜) [OrderedSemiring 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E} def ConvexIndependent (p : ι → E) : Prop := ∀ (s : Set ι) (x : ι), p x ∈ convexHull 𝕜 (p '' s) → x ∈ s #align convex_independent ConvexIndependent variable {𝕜} theorem Subsingleton.convexIndependent [Subsingleton ι] (p : ι → E) : ConvexIndependent 𝕜 p := by intro s x hx have : (convexHull 𝕜 (p '' s)).Nonempty := ⟨p x, hx⟩ rw [convexHull_nonempty_iff, Set.image_nonempty] at this rwa [Subsingleton.mem_iff_nonempty] #align subsingleton.convex_independent Subsingleton.convexIndependent protected theorem ConvexIndependent.injective {p : ι → E} (hc : ConvexIndependent 𝕜 p) : Function.Injective p := by refine fun i j hij => hc {j} i ?_ rw [hij, Set.image_singleton, convexHull_singleton] exact Set.mem_singleton _ #align convex_independent.injective ConvexIndependent.injective theorem ConvexIndependent.comp_embedding {ι' : Type*} (f : ι' ↪ ι) {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 (p ∘ f) := by intro s x hx rw [← f.injective.mem_set_image] exact hc _ _ (by rwa [Set.image_image]) #align convex_independent.comp_embedding ConvexIndependent.comp_embedding protected theorem ConvexIndependent.subtype {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) : ConvexIndependent 𝕜 fun i : s => p i := hc.comp_embedding (Embedding.subtype _) #align convex_independent.subtype ConvexIndependent.subtype protected theorem ConvexIndependent.range {p : ι → E} (hc : ConvexIndependent 𝕜 p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) := by let f : Set.range p → ι := fun x => x.property.choose have hf : ∀ x, p (f x) = x := fun x => x.property.choose_spec let fe : Set.range p ↪ ι := ⟨f, fun x₁ x₂ he => Subtype.ext (hf x₁ ▸ hf x₂ ▸ he ▸ rfl)⟩ convert hc.comp_embedding fe ext rw [Embedding.coeFn_mk, comp_apply, hf] #align convex_independent.range ConvexIndependent.range protected theorem ConvexIndependent.mono {s t : Set E} (hc : ConvexIndependent 𝕜 ((↑) : t → E)) (hs : s ⊆ t) : ConvexIndependent 𝕜 ((↑) : s → E) := hc.comp_embedding (s.embeddingOfSubset t hs) #align convex_independent.mono ConvexIndependent.mono theorem Function.Injective.convexIndependent_iff_set {p : ι → E} (hi : Function.Injective p) : ConvexIndependent 𝕜 ((↑) : Set.range p → E) ↔ ConvexIndependent 𝕜 p := ⟨fun hc => hc.comp_embedding (⟨fun i => ⟨p i, Set.mem_range_self _⟩, fun _ _ h => hi (Subtype.mk_eq_mk.1 h)⟩ : ι ↪ Set.range p), ConvexIndependent.range⟩ #align function.injective.convex_independent_iff_set Function.Injective.convexIndependent_iff_set @[simp] protected theorem ConvexIndependent.mem_convexHull_iff {p : ι → E} (hc : ConvexIndependent 𝕜 p) (s : Set ι) (i : ι) : p i ∈ convexHull 𝕜 (p '' s) ↔ i ∈ s := ⟨hc _ _, fun hi => subset_convexHull 𝕜 _ (Set.mem_image_of_mem p hi)⟩ #align convex_independent.mem_convex_hull_iff ConvexIndependent.mem_convexHull_iff theorem convexIndependent_iff_not_mem_convexHull_diff {p : ι → E} : ConvexIndependent 𝕜 p ↔ ∀ i s, p i ∉ convexHull 𝕜 (p '' (s \ {i})) := by refine ⟨fun hc i s h => ?_, fun h s i hi => ?_⟩ · rw [hc.mem_convexHull_iff] at h exact h.2 (Set.mem_singleton _) · by_contra H refine h i s ?_ rw [Set.diff_singleton_eq_self H] exact hi #align convex_independent_iff_not_mem_convex_hull_diff convexIndependent_iff_not_mem_convexHull_diff theorem convexIndependent_set_iff_inter_convexHull_subset {s : Set E} : ConvexIndependent 𝕜 ((↑) : s → E) ↔ ∀ t, t ⊆ s → s ∩ convexHull 𝕜 t ⊆ t := by constructor · rintro hc t h x ⟨hxs, hxt⟩ refine hc { x | ↑x ∈ t } ⟨x, hxs⟩ ?_ rw [Subtype.coe_image_of_subset h] exact hxt · intro hc t x h rw [← Subtype.coe_injective.mem_set_image] exact hc (t.image ((↑) : s → E)) (Subtype.coe_image_subset s t) ⟨x.prop, h⟩ #align convex_independent_set_iff_inter_convex_hull_subset convexIndependent_set_iff_inter_convexHull_subset
Mathlib/Analysis/Convex/Independent.lean
158
166
theorem convexIndependent_set_iff_not_mem_convexHull_diff {s : Set E} : ConvexIndependent 𝕜 ((↑) : s → E) ↔ ∀ x ∈ s, x ∉ convexHull 𝕜 (s \ {x}) := by
rw [convexIndependent_set_iff_inter_convexHull_subset] constructor · rintro hs x hxs hx exact (hs _ Set.diff_subset ⟨hxs, hx⟩).2 (Set.mem_singleton _) · rintro hs t ht x ⟨hxs, hxt⟩ by_contra h exact hs _ hxs (convexHull_mono (Set.subset_diff_singleton ht h) hxt)
2,097
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Join #align_import analysis.convex.stone_separation from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f" open Set variable {𝕜 E ι : Type*} [LinearOrderedField 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E}
Mathlib/Analysis/Convex/StoneSeparation.lean
30
77
theorem not_disjoint_segment_convexHull_triple {p q u v x y z : E} (hz : z ∈ segment 𝕜 x y) (hu : u ∈ segment 𝕜 x p) (hv : v ∈ segment 𝕜 y q) : ¬Disjoint (segment 𝕜 u v) (convexHull 𝕜 {p, q, z}) := by
rw [not_disjoint_iff] obtain ⟨az, bz, haz, hbz, habz, rfl⟩ := hz obtain rfl | haz' := haz.eq_or_lt · rw [zero_add] at habz rw [zero_smul, zero_add, habz, one_smul] refine ⟨v, by apply right_mem_segment, segment_subset_convexHull ?_ ?_ hv⟩ <;> simp obtain ⟨av, bv, hav, hbv, habv, rfl⟩ := hv obtain rfl | hav' := hav.eq_or_lt · rw [zero_add] at habv rw [zero_smul, zero_add, habv, one_smul] exact ⟨q, right_mem_segment _ _ _, subset_convexHull _ _ <| by simp⟩ obtain ⟨au, bu, hau, hbu, habu, rfl⟩ := hu have hab : 0 < az * av + bz * au := by positivity refine ⟨(az * av / (az * av + bz * au)) • (au • x + bu • p) + (bz * au / (az * av + bz * au)) • (av • y + bv • q), ⟨_, _, ?_, ?_, ?_, rfl⟩, ?_⟩ · positivity · positivity · rw [← add_div, div_self]; positivity rw [smul_add, smul_add, add_add_add_comm, add_comm, ← mul_smul, ← mul_smul] classical let w : Fin 3 → 𝕜 := ![az * av * bu, bz * au * bv, au * av] let z : Fin 3 → E := ![p, q, az • x + bz • y] have hw₀ : ∀ i, 0 ≤ w i := by rintro i fin_cases i · exact mul_nonneg (mul_nonneg haz hav) hbu · exact mul_nonneg (mul_nonneg hbz hau) hbv · exact mul_nonneg hau hav have hw : ∑ i, w i = az * av + bz * au := by trans az * av * bu + (bz * au * bv + au * av) · simp [w, Fin.sum_univ_succ, Fin.sum_univ_zero] rw [← one_mul (au * av), ← habz, add_mul, ← add_assoc, add_add_add_comm, mul_assoc, ← mul_add, mul_assoc, ← mul_add, mul_comm av, ← add_mul, ← mul_add, add_comm bu, add_comm bv, habu, habv, one_mul, mul_one] have hz : ∀ i, z i ∈ ({p, q, az • x + bz • y} : Set E) := fun i => by fin_cases i <;> simp [z] convert Finset.centerMass_mem_convexHull (Finset.univ : Finset (Fin 3)) (fun i _ => hw₀ i) (by rwa [hw]) fun i _ => hz i rw [Finset.centerMass] simp_rw [div_eq_inv_mul, hw, mul_assoc, mul_smul (az * av + bz * au)⁻¹, ← smul_add, add_assoc, ← mul_assoc] congr 3 rw [← mul_smul, ← mul_rotate, mul_right_comm, mul_smul, ← mul_smul _ av, mul_rotate, mul_smul _ bz, ← smul_add] simp only [w, z, smul_add, List.foldr, Matrix.cons_val_succ', Fin.mk_one, Matrix.cons_val_one, Matrix.head_cons, add_zero]
2,098
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Join #align_import analysis.convex.stone_separation from "leanprover-community/mathlib"@"6ca1a09bc9aa75824bf97388c9e3b441fc4ccf3f" open Set variable {𝕜 E ι : Type*} [LinearOrderedField 𝕜] [AddCommGroup E] [Module 𝕜 E] {s t : Set E} theorem not_disjoint_segment_convexHull_triple {p q u v x y z : E} (hz : z ∈ segment 𝕜 x y) (hu : u ∈ segment 𝕜 x p) (hv : v ∈ segment 𝕜 y q) : ¬Disjoint (segment 𝕜 u v) (convexHull 𝕜 {p, q, z}) := by rw [not_disjoint_iff] obtain ⟨az, bz, haz, hbz, habz, rfl⟩ := hz obtain rfl | haz' := haz.eq_or_lt · rw [zero_add] at habz rw [zero_smul, zero_add, habz, one_smul] refine ⟨v, by apply right_mem_segment, segment_subset_convexHull ?_ ?_ hv⟩ <;> simp obtain ⟨av, bv, hav, hbv, habv, rfl⟩ := hv obtain rfl | hav' := hav.eq_or_lt · rw [zero_add] at habv rw [zero_smul, zero_add, habv, one_smul] exact ⟨q, right_mem_segment _ _ _, subset_convexHull _ _ <| by simp⟩ obtain ⟨au, bu, hau, hbu, habu, rfl⟩ := hu have hab : 0 < az * av + bz * au := by positivity refine ⟨(az * av / (az * av + bz * au)) • (au • x + bu • p) + (bz * au / (az * av + bz * au)) • (av • y + bv • q), ⟨_, _, ?_, ?_, ?_, rfl⟩, ?_⟩ · positivity · positivity · rw [← add_div, div_self]; positivity rw [smul_add, smul_add, add_add_add_comm, add_comm, ← mul_smul, ← mul_smul] classical let w : Fin 3 → 𝕜 := ![az * av * bu, bz * au * bv, au * av] let z : Fin 3 → E := ![p, q, az • x + bz • y] have hw₀ : ∀ i, 0 ≤ w i := by rintro i fin_cases i · exact mul_nonneg (mul_nonneg haz hav) hbu · exact mul_nonneg (mul_nonneg hbz hau) hbv · exact mul_nonneg hau hav have hw : ∑ i, w i = az * av + bz * au := by trans az * av * bu + (bz * au * bv + au * av) · simp [w, Fin.sum_univ_succ, Fin.sum_univ_zero] rw [← one_mul (au * av), ← habz, add_mul, ← add_assoc, add_add_add_comm, mul_assoc, ← mul_add, mul_assoc, ← mul_add, mul_comm av, ← add_mul, ← mul_add, add_comm bu, add_comm bv, habu, habv, one_mul, mul_one] have hz : ∀ i, z i ∈ ({p, q, az • x + bz • y} : Set E) := fun i => by fin_cases i <;> simp [z] convert Finset.centerMass_mem_convexHull (Finset.univ : Finset (Fin 3)) (fun i _ => hw₀ i) (by rwa [hw]) fun i _ => hz i rw [Finset.centerMass] simp_rw [div_eq_inv_mul, hw, mul_assoc, mul_smul (az * av + bz * au)⁻¹, ← smul_add, add_assoc, ← mul_assoc] congr 3 rw [← mul_smul, ← mul_rotate, mul_right_comm, mul_smul, ← mul_smul _ av, mul_rotate, mul_smul _ bz, ← smul_add] simp only [w, z, smul_add, List.foldr, Matrix.cons_val_succ', Fin.mk_one, Matrix.cons_val_one, Matrix.head_cons, add_zero] #align not_disjoint_segment_convex_hull_triple not_disjoint_segment_convexHull_triple
Mathlib/Analysis/Convex/StoneSeparation.lean
81
109
theorem exists_convex_convex_compl_subset (hs : Convex 𝕜 s) (ht : Convex 𝕜 t) (hst : Disjoint s t) : ∃ C : Set E, Convex 𝕜 C ∧ Convex 𝕜 Cᶜ ∧ s ⊆ C ∧ t ⊆ Cᶜ := by
let S : Set (Set E) := { C | Convex 𝕜 C ∧ Disjoint C t } obtain ⟨C, hC, hsC, hCmax⟩ := zorn_subset_nonempty S (fun c hcS hc ⟨_, _⟩ => ⟨⋃₀ c, ⟨hc.directedOn.convex_sUnion fun s hs => (hcS hs).1, disjoint_sUnion_left.2 fun c hc => (hcS hc).2⟩, fun s => subset_sUnion_of_mem⟩) s ⟨hs, hst⟩ refine ⟨C, hC.1, convex_iff_segment_subset.2 fun x hx y hy z hz hzC => ?_, hsC, hC.2.subset_compl_left⟩ suffices h : ∀ c ∈ Cᶜ, ∃ a ∈ C, (segment 𝕜 c a ∩ t).Nonempty by obtain ⟨p, hp, u, hu, hut⟩ := h x hx obtain ⟨q, hq, v, hv, hvt⟩ := h y hy refine not_disjoint_segment_convexHull_triple hz hu hv (hC.2.symm.mono (ht.segment_subset hut hvt) <| convexHull_min ?_ hC.1) simp [insert_subset_iff, hp, hq, singleton_subset_iff.2 hzC] rintro c hc by_contra! h suffices h : Disjoint (convexHull 𝕜 (insert c C)) t by rw [← hCmax _ ⟨convex_convexHull _ _, h⟩ ((subset_insert _ _).trans <| subset_convexHull _ _)] at hc exact hc (subset_convexHull _ _ <| mem_insert _ _) rw [convexHull_insert ⟨z, hzC⟩, convexJoin_singleton_left] refine disjoint_iUnion₂_left.2 fun a ha => disjoint_iff_inter_eq_empty.2 (h a ?_) rwa [← hC.1.convexHull_eq]
2,098
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Function import Mathlib.Tactic.FieldSimp #align_import analysis.convex.jensen from "leanprover-community/mathlib"@"bfad3f455b388fbcc14c49d0cac884f774f14d20" open Finset LinearMap Set open scoped Classical open Convex Pointwise variable {𝕜 E F β ι : Type*} section Jensen variable [LinearOrderedField 𝕜] [AddCommGroup E] [OrderedAddCommGroup β] [Module 𝕜 E] [Module 𝕜 β] [OrderedSMul 𝕜 β] {s : Set E} {f : E → β} {t : Finset ι} {w : ι → 𝕜} {p : ι → E} {v : 𝕜} {q : E}
Mathlib/Analysis/Convex/Jensen.lean
52
58
theorem ConvexOn.map_centerMass_le (hf : ConvexOn 𝕜 s f) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : 0 < ∑ i ∈ t, w i) (hmem : ∀ i ∈ t, p i ∈ s) : f (t.centerMass w p) ≤ t.centerMass w (f ∘ p) := by
have hmem' : ∀ i ∈ t, (p i, (f ∘ p) i) ∈ { p : E × β | p.1 ∈ s ∧ f p.1 ≤ p.2 } := fun i hi => ⟨hmem i hi, le_rfl⟩ convert (hf.convex_epigraph.centerMass_mem h₀ h₁ hmem').2 <;> simp only [centerMass, Function.comp, Prod.smul_fst, Prod.fst_sum, Prod.smul_snd, Prod.snd_sum]
2,099
import Mathlib.Analysis.Convex.Combination import Mathlib.Analysis.Convex.Function import Mathlib.Tactic.FieldSimp #align_import analysis.convex.jensen from "leanprover-community/mathlib"@"bfad3f455b388fbcc14c49d0cac884f774f14d20" open Finset LinearMap Set open scoped Classical open Convex Pointwise variable {𝕜 E F β ι : Type*} section Jensen variable [LinearOrderedField 𝕜] [AddCommGroup E] [OrderedAddCommGroup β] [Module 𝕜 E] [Module 𝕜 β] [OrderedSMul 𝕜 β] {s : Set E} {f : E → β} {t : Finset ι} {w : ι → 𝕜} {p : ι → E} {v : 𝕜} {q : E} theorem ConvexOn.map_centerMass_le (hf : ConvexOn 𝕜 s f) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : 0 < ∑ i ∈ t, w i) (hmem : ∀ i ∈ t, p i ∈ s) : f (t.centerMass w p) ≤ t.centerMass w (f ∘ p) := by have hmem' : ∀ i ∈ t, (p i, (f ∘ p) i) ∈ { p : E × β | p.1 ∈ s ∧ f p.1 ≤ p.2 } := fun i hi => ⟨hmem i hi, le_rfl⟩ convert (hf.convex_epigraph.centerMass_mem h₀ h₁ hmem').2 <;> simp only [centerMass, Function.comp, Prod.smul_fst, Prod.fst_sum, Prod.smul_snd, Prod.snd_sum] #align convex_on.map_center_mass_le ConvexOn.map_centerMass_le theorem ConcaveOn.le_map_centerMass (hf : ConcaveOn 𝕜 s f) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : 0 < ∑ i ∈ t, w i) (hmem : ∀ i ∈ t, p i ∈ s) : t.centerMass w (f ∘ p) ≤ f (t.centerMass w p) := ConvexOn.map_centerMass_le (β := βᵒᵈ) hf h₀ h₁ hmem #align concave_on.le_map_center_mass ConcaveOn.le_map_centerMass
Mathlib/Analysis/Convex/Jensen.lean
69
72
theorem ConvexOn.map_sum_le (hf : ConvexOn 𝕜 s f) (h₀ : ∀ i ∈ t, 0 ≤ w i) (h₁ : ∑ i ∈ t, w i = 1) (hmem : ∀ i ∈ t, p i ∈ s) : f (∑ i ∈ t, w i • p i) ≤ ∑ i ∈ t, w i • f (p i) := by
simpa only [centerMass, h₁, inv_one, one_smul] using hf.map_centerMass_le h₀ (h₁.symm ▸ zero_lt_one) hmem
2,099
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.Mul import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal #align_import analysis.mean_inequalities_pow from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" universe u v open Finset open scoped Classical open NNReal ENNReal noncomputable section variable {ι : Type u} (s : Finset ι) namespace Real theorem pow_arith_mean_le_arith_mean_pow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (n : ℕ) : (∑ i ∈ s, w i * z i) ^ n ≤ ∑ i ∈ s, w i * z i ^ n := (convexOn_pow n).map_sum_le hw hw' hz #align real.pow_arith_mean_le_arith_mean_pow Real.pow_arith_mean_le_arith_mean_pow theorem pow_arith_mean_le_arith_mean_pow_of_even (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) {n : ℕ} (hn : Even n) : (∑ i ∈ s, w i * z i) ^ n ≤ ∑ i ∈ s, w i * z i ^ n := hn.convexOn_pow.map_sum_le hw hw' fun _ _ => Set.mem_univ _ #align real.pow_arith_mean_le_arith_mean_pow_of_even Real.pow_arith_mean_le_arith_mean_pow_of_even
Mathlib/Analysis/MeanInequalitiesPow.lean
72
86
theorem pow_sum_div_card_le_sum_pow {f : ι → ℝ} (n : ℕ) (hf : ∀ a ∈ s, 0 ≤ f a) : (∑ x ∈ s, f x) ^ (n + 1) / (s.card : ℝ) ^ n ≤ ∑ x ∈ s, f x ^ (n + 1) := by
rcases s.eq_empty_or_nonempty with (rfl | hs) · simp_rw [Finset.sum_empty, zero_pow n.succ_ne_zero, zero_div]; rfl · have hs0 : 0 < (s.card : ℝ) := Nat.cast_pos.2 hs.card_pos suffices (∑ x ∈ s, f x / s.card) ^ (n + 1) ≤ ∑ x ∈ s, f x ^ (n + 1) / s.card by rwa [← Finset.sum_div, ← Finset.sum_div, div_pow, pow_succ (s.card : ℝ), ← div_div, div_le_iff hs0, div_mul, div_self hs0.ne', div_one] at this have := @ConvexOn.map_sum_le ℝ ℝ ℝ ι _ _ _ _ _ _ (Set.Ici 0) (fun x => x ^ (n + 1)) s (fun _ => 1 / s.card) ((↑) ∘ f) (convexOn_pow (n + 1)) ?_ ?_ fun i hi => Set.mem_Ici.2 (hf i hi) · simpa only [inv_mul_eq_div, one_div, Algebra.id.smul_eq_mul] using this · simp only [one_div, inv_nonneg, Nat.cast_nonneg, imp_true_iff] · simpa only [one_div, Finset.sum_const, nsmul_eq_mul] using mul_inv_cancel hs0.ne'
2,100
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.Mul import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal #align_import analysis.mean_inequalities_pow from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" universe u v open Finset open scoped Classical open NNReal ENNReal noncomputable section variable {ι : Type u} (s : Finset ι) namespace Real theorem pow_arith_mean_le_arith_mean_pow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (n : ℕ) : (∑ i ∈ s, w i * z i) ^ n ≤ ∑ i ∈ s, w i * z i ^ n := (convexOn_pow n).map_sum_le hw hw' hz #align real.pow_arith_mean_le_arith_mean_pow Real.pow_arith_mean_le_arith_mean_pow theorem pow_arith_mean_le_arith_mean_pow_of_even (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) {n : ℕ} (hn : Even n) : (∑ i ∈ s, w i * z i) ^ n ≤ ∑ i ∈ s, w i * z i ^ n := hn.convexOn_pow.map_sum_le hw hw' fun _ _ => Set.mem_univ _ #align real.pow_arith_mean_le_arith_mean_pow_of_even Real.pow_arith_mean_le_arith_mean_pow_of_even theorem pow_sum_div_card_le_sum_pow {f : ι → ℝ} (n : ℕ) (hf : ∀ a ∈ s, 0 ≤ f a) : (∑ x ∈ s, f x) ^ (n + 1) / (s.card : ℝ) ^ n ≤ ∑ x ∈ s, f x ^ (n + 1) := by rcases s.eq_empty_or_nonempty with (rfl | hs) · simp_rw [Finset.sum_empty, zero_pow n.succ_ne_zero, zero_div]; rfl · have hs0 : 0 < (s.card : ℝ) := Nat.cast_pos.2 hs.card_pos suffices (∑ x ∈ s, f x / s.card) ^ (n + 1) ≤ ∑ x ∈ s, f x ^ (n + 1) / s.card by rwa [← Finset.sum_div, ← Finset.sum_div, div_pow, pow_succ (s.card : ℝ), ← div_div, div_le_iff hs0, div_mul, div_self hs0.ne', div_one] at this have := @ConvexOn.map_sum_le ℝ ℝ ℝ ι _ _ _ _ _ _ (Set.Ici 0) (fun x => x ^ (n + 1)) s (fun _ => 1 / s.card) ((↑) ∘ f) (convexOn_pow (n + 1)) ?_ ?_ fun i hi => Set.mem_Ici.2 (hf i hi) · simpa only [inv_mul_eq_div, one_div, Algebra.id.smul_eq_mul] using this · simp only [one_div, inv_nonneg, Nat.cast_nonneg, imp_true_iff] · simpa only [one_div, Finset.sum_const, nsmul_eq_mul] using mul_inv_cancel hs0.ne' #align real.pow_sum_div_card_le_sum_pow Real.pow_sum_div_card_le_sum_pow theorem zpow_arith_mean_le_arith_mean_zpow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 < z i) (m : ℤ) : (∑ i ∈ s, w i * z i) ^ m ≤ ∑ i ∈ s, w i * z i ^ m := (convexOn_zpow m).map_sum_le hw hw' hz #align real.zpow_arith_mean_le_arith_mean_zpow Real.zpow_arith_mean_le_arith_mean_zpow theorem rpow_arith_mean_le_arith_mean_rpow (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) {p : ℝ} (hp : 1 ≤ p) : (∑ i ∈ s, w i * z i) ^ p ≤ ∑ i ∈ s, w i * z i ^ p := (convexOn_rpow hp).map_sum_le hw hw' hz #align real.rpow_arith_mean_le_arith_mean_rpow Real.rpow_arith_mean_le_arith_mean_rpow
Mathlib/Analysis/MeanInequalitiesPow.lean
101
110
theorem arith_mean_le_rpow_mean (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) {p : ℝ} (hp : 1 ≤ p) : ∑ i ∈ s, w i * z i ≤ (∑ i ∈ s, w i * z i ^ p) ^ (1 / p) := by
have : 0 < p := by positivity rw [← rpow_le_rpow_iff _ _ this, ← rpow_mul, one_div_mul_cancel (ne_of_gt this), rpow_one] · exact rpow_arith_mean_le_arith_mean_rpow s w z hw hw' hz hp all_goals apply_rules [sum_nonneg, rpow_nonneg] intro i hi apply_rules [mul_nonneg, rpow_nonneg, hw i hi, hz i hi]
2,100
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal import Mathlib.Data.Real.ConjExponents #align_import analysis.mean_inequalities from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" universe u v open scoped Classical open Finset NNReal ENNReal set_option linter.uppercaseLean3 false noncomputable section variable {ι : Type u} (s : Finset ι) section GeomMeanLEArithMean namespace Real
Mathlib/Analysis/MeanInequalities.lean
113
134
theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) : ∏ i ∈ s, z i ^ w i ≤ ∑ i ∈ s, w i * z i := by
-- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative. by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0 · rcases A with ⟨i, his, hzi, hwi⟩ rw [prod_eq_zero his] · exact sum_nonneg fun j hj => mul_nonneg (hw j hj) (hz j hj) · rw [hzi] exact zero_rpow hwi -- If all numbers `z i` with non-zero weight are positive, then we apply Jensen's inequality -- for `exp` and numbers `log (z i)` with weights `w i`. · simp only [not_exists, not_and, Ne, Classical.not_not] at A have := convexOn_exp.map_sum_le hw hw' fun i _ => Set.mem_univ <| log (z i) simp only [exp_sum, (· ∘ ·), smul_eq_mul, mul_comm (w _) (log _)] at this convert this using 1 <;> [apply prod_congr rfl;apply sum_congr rfl] <;> intro i hi · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · exact rpow_def_of_pos hz _ · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · rw [exp_log hz]
2,101
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal import Mathlib.Data.Real.ConjExponents #align_import analysis.mean_inequalities from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" universe u v open scoped Classical open Finset NNReal ENNReal set_option linter.uppercaseLean3 false noncomputable section variable {ι : Type u} (s : Finset ι) section GeomMeanLEArithMean namespace Real theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) : ∏ i ∈ s, z i ^ w i ≤ ∑ i ∈ s, w i * z i := by -- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative. by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0 · rcases A with ⟨i, his, hzi, hwi⟩ rw [prod_eq_zero his] · exact sum_nonneg fun j hj => mul_nonneg (hw j hj) (hz j hj) · rw [hzi] exact zero_rpow hwi -- If all numbers `z i` with non-zero weight are positive, then we apply Jensen's inequality -- for `exp` and numbers `log (z i)` with weights `w i`. · simp only [not_exists, not_and, Ne, Classical.not_not] at A have := convexOn_exp.map_sum_le hw hw' fun i _ => Set.mem_univ <| log (z i) simp only [exp_sum, (· ∘ ·), smul_eq_mul, mul_comm (w _) (log _)] at this convert this using 1 <;> [apply prod_congr rfl;apply sum_congr rfl] <;> intro i hi · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · exact rpow_def_of_pos hz _ · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · rw [exp_log hz] #align real.geom_mean_le_arith_mean_weighted Real.geom_mean_le_arith_mean_weighted
Mathlib/Analysis/MeanInequalities.lean
138
148
theorem geom_mean_le_arith_mean {ι : Type*} (s : Finset ι) (w : ι → ℝ) (z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : 0 < ∑ i ∈ s, w i) (hz : ∀ i ∈ s, 0 ≤ z i) : (∏ i ∈ s, z i ^ w i) ^ (∑ i ∈ s, w i)⁻¹ ≤ (∑ i ∈ s, w i * z i) / (∑ i ∈ s, w i) := by
convert geom_mean_le_arith_mean_weighted s (fun i => (w i) / ∑ i ∈ s, w i) z ?_ ?_ hz using 2 · rw [← finset_prod_rpow _ _ (fun i hi => rpow_nonneg (hz _ hi) _) _] refine Finset.prod_congr rfl (fun _ ih => ?_) rw [div_eq_mul_inv, rpow_mul (hz _ ih)] · simp_rw [div_eq_mul_inv, mul_assoc, mul_comm, ← mul_assoc, ← Finset.sum_mul, mul_comm] · exact fun _ hi => div_nonneg (hw _ hi) (le_of_lt hw') · simp_rw [div_eq_mul_inv, ← Finset.sum_mul] exact mul_inv_cancel (by linarith)
2,101
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal import Mathlib.Data.Real.ConjExponents #align_import analysis.mean_inequalities from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" universe u v open scoped Classical open Finset NNReal ENNReal set_option linter.uppercaseLean3 false noncomputable section variable {ι : Type u} (s : Finset ι) section GeomMeanLEArithMean namespace Real theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) : ∏ i ∈ s, z i ^ w i ≤ ∑ i ∈ s, w i * z i := by -- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative. by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0 · rcases A with ⟨i, his, hzi, hwi⟩ rw [prod_eq_zero his] · exact sum_nonneg fun j hj => mul_nonneg (hw j hj) (hz j hj) · rw [hzi] exact zero_rpow hwi -- If all numbers `z i` with non-zero weight are positive, then we apply Jensen's inequality -- for `exp` and numbers `log (z i)` with weights `w i`. · simp only [not_exists, not_and, Ne, Classical.not_not] at A have := convexOn_exp.map_sum_le hw hw' fun i _ => Set.mem_univ <| log (z i) simp only [exp_sum, (· ∘ ·), smul_eq_mul, mul_comm (w _) (log _)] at this convert this using 1 <;> [apply prod_congr rfl;apply sum_congr rfl] <;> intro i hi · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · exact rpow_def_of_pos hz _ · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · rw [exp_log hz] #align real.geom_mean_le_arith_mean_weighted Real.geom_mean_le_arith_mean_weighted theorem geom_mean_le_arith_mean {ι : Type*} (s : Finset ι) (w : ι → ℝ) (z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : 0 < ∑ i ∈ s, w i) (hz : ∀ i ∈ s, 0 ≤ z i) : (∏ i ∈ s, z i ^ w i) ^ (∑ i ∈ s, w i)⁻¹ ≤ (∑ i ∈ s, w i * z i) / (∑ i ∈ s, w i) := by convert geom_mean_le_arith_mean_weighted s (fun i => (w i) / ∑ i ∈ s, w i) z ?_ ?_ hz using 2 · rw [← finset_prod_rpow _ _ (fun i hi => rpow_nonneg (hz _ hi) _) _] refine Finset.prod_congr rfl (fun _ ih => ?_) rw [div_eq_mul_inv, rpow_mul (hz _ ih)] · simp_rw [div_eq_mul_inv, mul_assoc, mul_comm, ← mul_assoc, ← Finset.sum_mul, mul_comm] · exact fun _ hi => div_nonneg (hw _ hi) (le_of_lt hw') · simp_rw [div_eq_mul_inv, ← Finset.sum_mul] exact mul_inv_cancel (by linarith)
Mathlib/Analysis/MeanInequalities.lean
150
166
theorem geom_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∏ i ∈ s, z i ^ w i = x := calc ∏ i ∈ s, z i ^ w i = ∏ i ∈ s, x ^ w i := by
refine prod_congr rfl fun i hi => ?_ rcases eq_or_ne (w i) 0 with h₀ | h₀ · rw [h₀, rpow_zero, rpow_zero] · rw [hx i hi h₀] _ = x := by rw [← rpow_sum_of_nonneg _ hw, hw', rpow_one] have : (∑ i ∈ s, w i) ≠ 0 := by rw [hw'] exact one_ne_zero obtain ⟨i, his, hi⟩ := exists_ne_zero_of_sum_ne_zero this rw [← hx i his hi] exact hz i his
2,101
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal import Mathlib.Data.Real.ConjExponents #align_import analysis.mean_inequalities from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" universe u v open scoped Classical open Finset NNReal ENNReal set_option linter.uppercaseLean3 false noncomputable section variable {ι : Type u} (s : Finset ι) section GeomMeanLEArithMean namespace Real theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) : ∏ i ∈ s, z i ^ w i ≤ ∑ i ∈ s, w i * z i := by -- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative. by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0 · rcases A with ⟨i, his, hzi, hwi⟩ rw [prod_eq_zero his] · exact sum_nonneg fun j hj => mul_nonneg (hw j hj) (hz j hj) · rw [hzi] exact zero_rpow hwi -- If all numbers `z i` with non-zero weight are positive, then we apply Jensen's inequality -- for `exp` and numbers `log (z i)` with weights `w i`. · simp only [not_exists, not_and, Ne, Classical.not_not] at A have := convexOn_exp.map_sum_le hw hw' fun i _ => Set.mem_univ <| log (z i) simp only [exp_sum, (· ∘ ·), smul_eq_mul, mul_comm (w _) (log _)] at this convert this using 1 <;> [apply prod_congr rfl;apply sum_congr rfl] <;> intro i hi · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · exact rpow_def_of_pos hz _ · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · rw [exp_log hz] #align real.geom_mean_le_arith_mean_weighted Real.geom_mean_le_arith_mean_weighted theorem geom_mean_le_arith_mean {ι : Type*} (s : Finset ι) (w : ι → ℝ) (z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : 0 < ∑ i ∈ s, w i) (hz : ∀ i ∈ s, 0 ≤ z i) : (∏ i ∈ s, z i ^ w i) ^ (∑ i ∈ s, w i)⁻¹ ≤ (∑ i ∈ s, w i * z i) / (∑ i ∈ s, w i) := by convert geom_mean_le_arith_mean_weighted s (fun i => (w i) / ∑ i ∈ s, w i) z ?_ ?_ hz using 2 · rw [← finset_prod_rpow _ _ (fun i hi => rpow_nonneg (hz _ hi) _) _] refine Finset.prod_congr rfl (fun _ ih => ?_) rw [div_eq_mul_inv, rpow_mul (hz _ ih)] · simp_rw [div_eq_mul_inv, mul_assoc, mul_comm, ← mul_assoc, ← Finset.sum_mul, mul_comm] · exact fun _ hi => div_nonneg (hw _ hi) (le_of_lt hw') · simp_rw [div_eq_mul_inv, ← Finset.sum_mul] exact mul_inv_cancel (by linarith) theorem geom_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∏ i ∈ s, z i ^ w i = x := calc ∏ i ∈ s, z i ^ w i = ∏ i ∈ s, x ^ w i := by refine prod_congr rfl fun i hi => ?_ rcases eq_or_ne (w i) 0 with h₀ | h₀ · rw [h₀, rpow_zero, rpow_zero] · rw [hx i hi h₀] _ = x := by rw [← rpow_sum_of_nonneg _ hw, hw', rpow_one] have : (∑ i ∈ s, w i) ≠ 0 := by rw [hw'] exact one_ne_zero obtain ⟨i, his, hi⟩ := exists_ne_zero_of_sum_ne_zero this rw [← hx i his hi] exact hz i his #align real.geom_mean_weighted_of_constant Real.geom_mean_weighted_of_constant
Mathlib/Analysis/MeanInequalities.lean
169
177
theorem arith_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw' : ∑ i ∈ s, w i = 1) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∑ i ∈ s, w i * z i = x := calc ∑ i ∈ s, w i * z i = ∑ i ∈ s, w i * x := by
refine sum_congr rfl fun i hi => ?_ rcases eq_or_ne (w i) 0 with hwi | hwi · rw [hwi, zero_mul, zero_mul] · rw [hx i hi hwi] _ = x := by rw [← sum_mul, hw', one_mul]
2,101
import Mathlib.Analysis.Convex.Jensen import Mathlib.Analysis.Convex.SpecificFunctions.Basic import Mathlib.Analysis.SpecialFunctions.Pow.NNReal import Mathlib.Data.Real.ConjExponents #align_import analysis.mean_inequalities from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92" universe u v open scoped Classical open Finset NNReal ENNReal set_option linter.uppercaseLean3 false noncomputable section variable {ι : Type u} (s : Finset ι) section GeomMeanLEArithMean namespace Real theorem geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) : ∏ i ∈ s, z i ^ w i ≤ ∑ i ∈ s, w i * z i := by -- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative. by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0 · rcases A with ⟨i, his, hzi, hwi⟩ rw [prod_eq_zero his] · exact sum_nonneg fun j hj => mul_nonneg (hw j hj) (hz j hj) · rw [hzi] exact zero_rpow hwi -- If all numbers `z i` with non-zero weight are positive, then we apply Jensen's inequality -- for `exp` and numbers `log (z i)` with weights `w i`. · simp only [not_exists, not_and, Ne, Classical.not_not] at A have := convexOn_exp.map_sum_le hw hw' fun i _ => Set.mem_univ <| log (z i) simp only [exp_sum, (· ∘ ·), smul_eq_mul, mul_comm (w _) (log _)] at this convert this using 1 <;> [apply prod_congr rfl;apply sum_congr rfl] <;> intro i hi · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · exact rpow_def_of_pos hz _ · cases' eq_or_lt_of_le (hz i hi) with hz hz · simp [A i hi hz.symm] · rw [exp_log hz] #align real.geom_mean_le_arith_mean_weighted Real.geom_mean_le_arith_mean_weighted theorem geom_mean_le_arith_mean {ι : Type*} (s : Finset ι) (w : ι → ℝ) (z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : 0 < ∑ i ∈ s, w i) (hz : ∀ i ∈ s, 0 ≤ z i) : (∏ i ∈ s, z i ^ w i) ^ (∑ i ∈ s, w i)⁻¹ ≤ (∑ i ∈ s, w i * z i) / (∑ i ∈ s, w i) := by convert geom_mean_le_arith_mean_weighted s (fun i => (w i) / ∑ i ∈ s, w i) z ?_ ?_ hz using 2 · rw [← finset_prod_rpow _ _ (fun i hi => rpow_nonneg (hz _ hi) _) _] refine Finset.prod_congr rfl (fun _ ih => ?_) rw [div_eq_mul_inv, rpow_mul (hz _ ih)] · simp_rw [div_eq_mul_inv, mul_assoc, mul_comm, ← mul_assoc, ← Finset.sum_mul, mul_comm] · exact fun _ hi => div_nonneg (hw _ hi) (le_of_lt hw') · simp_rw [div_eq_mul_inv, ← Finset.sum_mul] exact mul_inv_cancel (by linarith) theorem geom_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∏ i ∈ s, z i ^ w i = x := calc ∏ i ∈ s, z i ^ w i = ∏ i ∈ s, x ^ w i := by refine prod_congr rfl fun i hi => ?_ rcases eq_or_ne (w i) 0 with h₀ | h₀ · rw [h₀, rpow_zero, rpow_zero] · rw [hx i hi h₀] _ = x := by rw [← rpow_sum_of_nonneg _ hw, hw', rpow_one] have : (∑ i ∈ s, w i) ≠ 0 := by rw [hw'] exact one_ne_zero obtain ⟨i, his, hi⟩ := exists_ne_zero_of_sum_ne_zero this rw [← hx i his hi] exact hz i his #align real.geom_mean_weighted_of_constant Real.geom_mean_weighted_of_constant theorem arith_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw' : ∑ i ∈ s, w i = 1) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∑ i ∈ s, w i * z i = x := calc ∑ i ∈ s, w i * z i = ∑ i ∈ s, w i * x := by refine sum_congr rfl fun i hi => ?_ rcases eq_or_ne (w i) 0 with hwi | hwi · rw [hwi, zero_mul, zero_mul] · rw [hx i hi hwi] _ = x := by rw [← sum_mul, hw', one_mul] #align real.arith_mean_weighted_of_constant Real.arith_mean_weighted_of_constant
Mathlib/Analysis/MeanInequalities.lean
180
183
theorem geom_mean_eq_arith_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i ∈ s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∏ i ∈ s, z i ^ w i = ∑ i ∈ s, w i * z i := by
rw [geom_mean_weighted_of_constant, arith_mean_weighted_of_constant] <;> assumption
2,101
import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.NormedSpace.WithLp open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal noncomputable section variable (p : ℝ≥0∞) (𝕜 α β : Type*) namespace WithLp section DistNorm section EDist variable [EDist α] [EDist β] open scoped Classical in instance instProdEDist : EDist (WithLp p (α × β)) where edist f g := if _hp : p = 0 then (if edist f.fst g.fst = 0 then 0 else 1) + (if edist f.snd g.snd = 0 then 0 else 1) else if p = ∞ then edist f.fst g.fst ⊔ edist f.snd g.snd else (edist f.fst g.fst ^ p.toReal + edist f.snd g.snd ^ p.toReal) ^ (1 / p.toReal) variable {p α β} variable (x y : WithLp p (α × β)) (x' : α × β) @[simp]
Mathlib/Analysis/NormedSpace/ProdLp.lean
161
164
theorem prod_edist_eq_card (f g : WithLp 0 (α × β)) : edist f g = (if edist f.fst g.fst = 0 then 0 else 1) + (if edist f.snd g.snd = 0 then 0 else 1) := by
convert if_pos rfl
2,102
import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.NormedSpace.WithLp open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal noncomputable section variable (p : ℝ≥0∞) (𝕜 α β : Type*) namespace WithLp section DistNorm section EDist variable [EDist α] [EDist β] open scoped Classical in instance instProdEDist : EDist (WithLp p (α × β)) where edist f g := if _hp : p = 0 then (if edist f.fst g.fst = 0 then 0 else 1) + (if edist f.snd g.snd = 0 then 0 else 1) else if p = ∞ then edist f.fst g.fst ⊔ edist f.snd g.snd else (edist f.fst g.fst ^ p.toReal + edist f.snd g.snd ^ p.toReal) ^ (1 / p.toReal) variable {p α β} variable (x y : WithLp p (α × β)) (x' : α × β) @[simp] theorem prod_edist_eq_card (f g : WithLp 0 (α × β)) : edist f g = (if edist f.fst g.fst = 0 then 0 else 1) + (if edist f.snd g.snd = 0 then 0 else 1) := by convert if_pos rfl theorem prod_edist_eq_add (hp : 0 < p.toReal) (f g : WithLp p (α × β)) : edist f g = (edist f.fst g.fst ^ p.toReal + edist f.snd g.snd ^ p.toReal) ^ (1 / p.toReal) := let hp' := ENNReal.toReal_pos_iff.mp hp (if_neg hp'.1.ne').trans (if_neg hp'.2.ne)
Mathlib/Analysis/NormedSpace/ProdLp.lean
171
174
theorem prod_edist_eq_sup (f g : WithLp ∞ (α × β)) : edist f g = edist f.fst g.fst ⊔ edist f.snd g.snd := by
dsimp [edist] exact if_neg ENNReal.top_ne_zero
2,102
import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.NormedSpace.WithLp open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal noncomputable section variable (p : ℝ≥0∞) (𝕜 α β : Type*) namespace WithLp section DistNorm section Dist variable [Dist α] [Dist β] open scoped Classical in instance instProdDist : Dist (WithLp p (α × β)) where dist f g := if _hp : p = 0 then (if dist f.fst g.fst = 0 then 0 else 1) + (if dist f.snd g.snd = 0 then 0 else 1) else if p = ∞ then dist f.fst g.fst ⊔ dist f.snd g.snd else (dist f.fst g.fst ^ p.toReal + dist f.snd g.snd ^ p.toReal) ^ (1 / p.toReal) variable {p α β}
Mathlib/Analysis/NormedSpace/ProdLp.lean
231
233
theorem prod_dist_eq_card (f g : WithLp 0 (α × β)) : dist f g = (if dist f.fst g.fst = 0 then 0 else 1) + (if dist f.snd g.snd = 0 then 0 else 1) := by
convert if_pos rfl
2,102
import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.NormedSpace.WithLp open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal noncomputable section variable (p : ℝ≥0∞) (𝕜 α β : Type*) namespace WithLp section DistNorm section Dist variable [Dist α] [Dist β] open scoped Classical in instance instProdDist : Dist (WithLp p (α × β)) where dist f g := if _hp : p = 0 then (if dist f.fst g.fst = 0 then 0 else 1) + (if dist f.snd g.snd = 0 then 0 else 1) else if p = ∞ then dist f.fst g.fst ⊔ dist f.snd g.snd else (dist f.fst g.fst ^ p.toReal + dist f.snd g.snd ^ p.toReal) ^ (1 / p.toReal) variable {p α β} theorem prod_dist_eq_card (f g : WithLp 0 (α × β)) : dist f g = (if dist f.fst g.fst = 0 then 0 else 1) + (if dist f.snd g.snd = 0 then 0 else 1) := by convert if_pos rfl theorem prod_dist_eq_add (hp : 0 < p.toReal) (f g : WithLp p (α × β)) : dist f g = (dist f.fst g.fst ^ p.toReal + dist f.snd g.snd ^ p.toReal) ^ (1 / p.toReal) := let hp' := ENNReal.toReal_pos_iff.mp hp (if_neg hp'.1.ne').trans (if_neg hp'.2.ne)
Mathlib/Analysis/NormedSpace/ProdLp.lean
240
243
theorem prod_dist_eq_sup (f g : WithLp ∞ (α × β)) : dist f g = dist f.fst g.fst ⊔ dist f.snd g.snd := by
dsimp [dist] exact if_neg ENNReal.top_ne_zero
2,102
import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.NormedSpace.WithLp open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal noncomputable section variable (p : ℝ≥0∞) (𝕜 α β : Type*) namespace WithLp section DistNorm section Norm variable [Norm α] [Norm β] open scoped Classical in instance instProdNorm : Norm (WithLp p (α × β)) where norm f := if _hp : p = 0 then (if ‖f.fst‖ = 0 then 0 else 1) + (if ‖f.snd‖ = 0 then 0 else 1) else if p = ∞ then ‖f.fst‖ ⊔ ‖f.snd‖ else (‖f.fst‖ ^ p.toReal + ‖f.snd‖ ^ p.toReal) ^ (1 / p.toReal) variable {p α β} @[simp]
Mathlib/Analysis/NormedSpace/ProdLp.lean
270
272
theorem prod_norm_eq_card (f : WithLp 0 (α × β)) : ‖f‖ = (if ‖f.fst‖ = 0 then 0 else 1) + (if ‖f.snd‖ = 0 then 0 else 1) := by
convert if_pos rfl
2,102
import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.NormedSpace.WithLp open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal noncomputable section variable (p : ℝ≥0∞) (𝕜 α β : Type*) namespace WithLp section DistNorm section Norm variable [Norm α] [Norm β] open scoped Classical in instance instProdNorm : Norm (WithLp p (α × β)) where norm f := if _hp : p = 0 then (if ‖f.fst‖ = 0 then 0 else 1) + (if ‖f.snd‖ = 0 then 0 else 1) else if p = ∞ then ‖f.fst‖ ⊔ ‖f.snd‖ else (‖f.fst‖ ^ p.toReal + ‖f.snd‖ ^ p.toReal) ^ (1 / p.toReal) variable {p α β} @[simp] theorem prod_norm_eq_card (f : WithLp 0 (α × β)) : ‖f‖ = (if ‖f.fst‖ = 0 then 0 else 1) + (if ‖f.snd‖ = 0 then 0 else 1) := by convert if_pos rfl
Mathlib/Analysis/NormedSpace/ProdLp.lean
274
276
theorem prod_norm_eq_sup (f : WithLp ∞ (α × β)) : ‖f‖ = ‖f.fst‖ ⊔ ‖f.snd‖ := by
dsimp [Norm.norm] exact if_neg ENNReal.top_ne_zero
2,102
import Mathlib.Analysis.MeanInequalities import Mathlib.Data.Fintype.Order import Mathlib.LinearAlgebra.Matrix.Basis import Mathlib.Analysis.NormedSpace.WithLp #align_import analysis.normed_space.pi_Lp from "leanprover-community/mathlib"@"9d013ad8430ddddd350cff5c3db830278ded3c79" set_option linter.uppercaseLean3 false open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal noncomputable section abbrev PiLp (p : ℝ≥0∞) {ι : Type*} (α : ι → Type*) : Type _ := WithLp p (∀ i : ι, α i) #align pi_Lp PiLp instance (p : ℝ≥0∞) {ι : Type*} (α : ι → Type*) : CoeFun (PiLp p α) (fun _ ↦ (i : ι) → α i) where coe := WithLp.equiv p _ instance (p : ℝ≥0∞) {ι : Type*} (α : ι → Type*) [∀ i, Inhabited (α i)] : Inhabited (PiLp p α) := ⟨fun _ => default⟩ @[ext] -- Porting note (#10756): new lemma protected theorem PiLp.ext {p : ℝ≥0∞} {ι : Type*} {α : ι → Type*} {x y : PiLp p α} (h : ∀ i, x i = y i) : x = y := funext h namespace PiLp variable (p : ℝ≥0∞) (𝕜 : Type*) {ι : Type*} (α : ι → Type*) (β : ι → Type*) section variable {𝕜 p α} variable [SeminormedRing 𝕜] [∀ i, SeminormedAddCommGroup (β i)] variable [∀ i, Module 𝕜 (β i)] [∀ i, BoundedSMul 𝕜 (β i)] (c : 𝕜) variable (x y : PiLp p β) (i : ι) @[simp] theorem zero_apply : (0 : PiLp p β) i = 0 := rfl #align pi_Lp.zero_apply PiLp.zero_apply @[simp] theorem add_apply : (x + y) i = x i + y i := rfl #align pi_Lp.add_apply PiLp.add_apply @[simp] theorem sub_apply : (x - y) i = x i - y i := rfl #align pi_Lp.sub_apply PiLp.sub_apply @[simp] theorem smul_apply : (c • x) i = c • x i := rfl #align pi_Lp.smul_apply PiLp.smul_apply @[simp] theorem neg_apply : (-x) i = -x i := rfl #align pi_Lp.neg_apply PiLp.neg_apply end @[simp] theorem _root_.WithLp.equiv_pi_apply (x : PiLp p α) (i : ι) : WithLp.equiv p _ x i = x i := rfl #align pi_Lp.equiv_apply WithLp.equiv_pi_apply @[simp] theorem _root_.WithLp.equiv_symm_pi_apply (x : ∀ i, α i) (i : ι) : (WithLp.equiv p _).symm x i = x i := rfl #align pi_Lp.equiv_symm_apply WithLp.equiv_symm_pi_apply section DistNorm variable [Fintype ι] section Edist variable [∀ i, EDist (β i)] instance : EDist (PiLp p β) where edist f g := if p = 0 then {i | edist (f i) (g i) ≠ 0}.toFinite.toFinset.card else if p = ∞ then ⨆ i, edist (f i) (g i) else (∑ i, edist (f i) (g i) ^ p.toReal) ^ (1 / p.toReal) variable {β} theorem edist_eq_card (f g : PiLp 0 β) : edist f g = {i | edist (f i) (g i) ≠ 0}.toFinite.toFinset.card := if_pos rfl #align pi_Lp.edist_eq_card PiLp.edist_eq_card theorem edist_eq_sum {p : ℝ≥0∞} (hp : 0 < p.toReal) (f g : PiLp p β) : edist f g = (∑ i, edist (f i) (g i) ^ p.toReal) ^ (1 / p.toReal) := let hp' := ENNReal.toReal_pos_iff.mp hp (if_neg hp'.1.ne').trans (if_neg hp'.2.ne) #align pi_Lp.edist_eq_sum PiLp.edist_eq_sum
Mathlib/Analysis/NormedSpace/PiLp.lean
185
187
theorem edist_eq_iSup (f g : PiLp ∞ β) : edist f g = ⨆ i, edist (f i) (g i) := by
dsimp [edist] exact if_neg ENNReal.top_ne_zero
2,103
import Mathlib.Analysis.MeanInequalities import Mathlib.Data.Fintype.Order import Mathlib.LinearAlgebra.Matrix.Basis import Mathlib.Analysis.NormedSpace.WithLp #align_import analysis.normed_space.pi_Lp from "leanprover-community/mathlib"@"9d013ad8430ddddd350cff5c3db830278ded3c79" set_option linter.uppercaseLean3 false open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal noncomputable section abbrev PiLp (p : ℝ≥0∞) {ι : Type*} (α : ι → Type*) : Type _ := WithLp p (∀ i : ι, α i) #align pi_Lp PiLp instance (p : ℝ≥0∞) {ι : Type*} (α : ι → Type*) : CoeFun (PiLp p α) (fun _ ↦ (i : ι) → α i) where coe := WithLp.equiv p _ instance (p : ℝ≥0∞) {ι : Type*} (α : ι → Type*) [∀ i, Inhabited (α i)] : Inhabited (PiLp p α) := ⟨fun _ => default⟩ @[ext] -- Porting note (#10756): new lemma protected theorem PiLp.ext {p : ℝ≥0∞} {ι : Type*} {α : ι → Type*} {x y : PiLp p α} (h : ∀ i, x i = y i) : x = y := funext h namespace PiLp variable (p : ℝ≥0∞) (𝕜 : Type*) {ι : Type*} (α : ι → Type*) (β : ι → Type*) section variable {𝕜 p α} variable [SeminormedRing 𝕜] [∀ i, SeminormedAddCommGroup (β i)] variable [∀ i, Module 𝕜 (β i)] [∀ i, BoundedSMul 𝕜 (β i)] (c : 𝕜) variable (x y : PiLp p β) (i : ι) @[simp] theorem zero_apply : (0 : PiLp p β) i = 0 := rfl #align pi_Lp.zero_apply PiLp.zero_apply @[simp] theorem add_apply : (x + y) i = x i + y i := rfl #align pi_Lp.add_apply PiLp.add_apply @[simp] theorem sub_apply : (x - y) i = x i - y i := rfl #align pi_Lp.sub_apply PiLp.sub_apply @[simp] theorem smul_apply : (c • x) i = c • x i := rfl #align pi_Lp.smul_apply PiLp.smul_apply @[simp] theorem neg_apply : (-x) i = -x i := rfl #align pi_Lp.neg_apply PiLp.neg_apply end @[simp] theorem _root_.WithLp.equiv_pi_apply (x : PiLp p α) (i : ι) : WithLp.equiv p _ x i = x i := rfl #align pi_Lp.equiv_apply WithLp.equiv_pi_apply @[simp] theorem _root_.WithLp.equiv_symm_pi_apply (x : ∀ i, α i) (i : ι) : (WithLp.equiv p _).symm x i = x i := rfl #align pi_Lp.equiv_symm_apply WithLp.equiv_symm_pi_apply section DistNorm variable [Fintype ι] section Dist variable [∀ i, Dist (α i)] instance : Dist (PiLp p α) where dist f g := if p = 0 then {i | dist (f i) (g i) ≠ 0}.toFinite.toFinset.card else if p = ∞ then ⨆ i, dist (f i) (g i) else (∑ i, dist (f i) (g i) ^ p.toReal) ^ (1 / p.toReal) variable {α} theorem dist_eq_card (f g : PiLp 0 α) : dist f g = {i | dist (f i) (g i) ≠ 0}.toFinite.toFinset.card := if_pos rfl #align pi_Lp.dist_eq_card PiLp.dist_eq_card theorem dist_eq_sum {p : ℝ≥0∞} (hp : 0 < p.toReal) (f g : PiLp p α) : dist f g = (∑ i, dist (f i) (g i) ^ p.toReal) ^ (1 / p.toReal) := let hp' := ENNReal.toReal_pos_iff.mp hp (if_neg hp'.1.ne').trans (if_neg hp'.2.ne) #align pi_Lp.dist_eq_sum PiLp.dist_eq_sum
Mathlib/Analysis/NormedSpace/PiLp.lean
247
249
theorem dist_eq_iSup (f g : PiLp ∞ α) : dist f g = ⨆ i, dist (f i) (g i) := by
dsimp [dist] exact if_neg ENNReal.top_ne_zero
2,103
import Mathlib.Analysis.MeanInequalities import Mathlib.Data.Fintype.Order import Mathlib.LinearAlgebra.Matrix.Basis import Mathlib.Analysis.NormedSpace.WithLp #align_import analysis.normed_space.pi_Lp from "leanprover-community/mathlib"@"9d013ad8430ddddd350cff5c3db830278ded3c79" set_option linter.uppercaseLean3 false open Real Set Filter RCLike Bornology Uniformity Topology NNReal ENNReal noncomputable section abbrev PiLp (p : ℝ≥0∞) {ι : Type*} (α : ι → Type*) : Type _ := WithLp p (∀ i : ι, α i) #align pi_Lp PiLp instance (p : ℝ≥0∞) {ι : Type*} (α : ι → Type*) : CoeFun (PiLp p α) (fun _ ↦ (i : ι) → α i) where coe := WithLp.equiv p _ instance (p : ℝ≥0∞) {ι : Type*} (α : ι → Type*) [∀ i, Inhabited (α i)] : Inhabited (PiLp p α) := ⟨fun _ => default⟩ @[ext] -- Porting note (#10756): new lemma protected theorem PiLp.ext {p : ℝ≥0∞} {ι : Type*} {α : ι → Type*} {x y : PiLp p α} (h : ∀ i, x i = y i) : x = y := funext h namespace PiLp variable (p : ℝ≥0∞) (𝕜 : Type*) {ι : Type*} (α : ι → Type*) (β : ι → Type*) section variable {𝕜 p α} variable [SeminormedRing 𝕜] [∀ i, SeminormedAddCommGroup (β i)] variable [∀ i, Module 𝕜 (β i)] [∀ i, BoundedSMul 𝕜 (β i)] (c : 𝕜) variable (x y : PiLp p β) (i : ι) @[simp] theorem zero_apply : (0 : PiLp p β) i = 0 := rfl #align pi_Lp.zero_apply PiLp.zero_apply @[simp] theorem add_apply : (x + y) i = x i + y i := rfl #align pi_Lp.add_apply PiLp.add_apply @[simp] theorem sub_apply : (x - y) i = x i - y i := rfl #align pi_Lp.sub_apply PiLp.sub_apply @[simp] theorem smul_apply : (c • x) i = c • x i := rfl #align pi_Lp.smul_apply PiLp.smul_apply @[simp] theorem neg_apply : (-x) i = -x i := rfl #align pi_Lp.neg_apply PiLp.neg_apply end @[simp] theorem _root_.WithLp.equiv_pi_apply (x : PiLp p α) (i : ι) : WithLp.equiv p _ x i = x i := rfl #align pi_Lp.equiv_apply WithLp.equiv_pi_apply @[simp] theorem _root_.WithLp.equiv_symm_pi_apply (x : ∀ i, α i) (i : ι) : (WithLp.equiv p _).symm x i = x i := rfl #align pi_Lp.equiv_symm_apply WithLp.equiv_symm_pi_apply section DistNorm variable [Fintype ι] section Norm variable [∀ i, Norm (β i)] instance instNorm : Norm (PiLp p β) where norm f := if p = 0 then {i | ‖f i‖ ≠ 0}.toFinite.toFinset.card else if p = ∞ then ⨆ i, ‖f i‖ else (∑ i, ‖f i‖ ^ p.toReal) ^ (1 / p.toReal) #align pi_Lp.has_norm PiLp.instNorm variable {p β} theorem norm_eq_card (f : PiLp 0 β) : ‖f‖ = {i | ‖f i‖ ≠ 0}.toFinite.toFinset.card := if_pos rfl #align pi_Lp.norm_eq_card PiLp.norm_eq_card
Mathlib/Analysis/NormedSpace/PiLp.lean
276
278
theorem norm_eq_ciSup (f : PiLp ∞ β) : ‖f‖ = ⨆ i, ‖f i‖ := by
dsimp [Norm.norm] exact if_neg ENNReal.top_ne_zero
2,103
import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4" noncomputable section open scoped NNReal ENNReal Function variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)] def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop := if p = 0 then Set.Finite { i | f i ≠ 0 } else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖) else Summable fun i => ‖f i‖ ^ p.toReal #align mem_ℓp Memℓp
Mathlib/Analysis/NormedSpace/lpSpace.lean
81
83
theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by
dsimp [Memℓp] rw [if_pos rfl]
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import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4" noncomputable section open scoped NNReal ENNReal Function variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)] def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop := if p = 0 then Set.Finite { i | f i ≠ 0 } else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖) else Summable fun i => ‖f i‖ ^ p.toReal #align mem_ℓp Memℓp theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by dsimp [Memℓp] rw [if_pos rfl] #align mem_ℓp_zero_iff memℓp_zero_iff theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 := memℓp_zero_iff.2 hf #align mem_ℓp_zero memℓp_zero
Mathlib/Analysis/NormedSpace/lpSpace.lean
90
92
theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by
dsimp [Memℓp] rw [if_neg ENNReal.top_ne_zero, if_pos rfl]
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import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4" noncomputable section open scoped NNReal ENNReal Function variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)] def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop := if p = 0 then Set.Finite { i | f i ≠ 0 } else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖) else Summable fun i => ‖f i‖ ^ p.toReal #align mem_ℓp Memℓp theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by dsimp [Memℓp] rw [if_pos rfl] #align mem_ℓp_zero_iff memℓp_zero_iff theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 := memℓp_zero_iff.2 hf #align mem_ℓp_zero memℓp_zero theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by dsimp [Memℓp] rw [if_neg ENNReal.top_ne_zero, if_pos rfl] #align mem_ℓp_infty_iff memℓp_infty_iff theorem memℓp_infty {f : ∀ i, E i} (hf : BddAbove (Set.range fun i => ‖f i‖)) : Memℓp f ∞ := memℓp_infty_iff.2 hf #align mem_ℓp_infty memℓp_infty
Mathlib/Analysis/NormedSpace/lpSpace.lean
99
103
theorem memℓp_gen_iff (hp : 0 < p.toReal) {f : ∀ i, E i} : Memℓp f p ↔ Summable fun i => ‖f i‖ ^ p.toReal := by
rw [ENNReal.toReal_pos_iff] at hp dsimp [Memℓp] rw [if_neg hp.1.ne', if_neg hp.2.ne]
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import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4" noncomputable section open scoped NNReal ENNReal Function variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)] def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop := if p = 0 then Set.Finite { i | f i ≠ 0 } else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖) else Summable fun i => ‖f i‖ ^ p.toReal #align mem_ℓp Memℓp theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by dsimp [Memℓp] rw [if_pos rfl] #align mem_ℓp_zero_iff memℓp_zero_iff theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 := memℓp_zero_iff.2 hf #align mem_ℓp_zero memℓp_zero theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by dsimp [Memℓp] rw [if_neg ENNReal.top_ne_zero, if_pos rfl] #align mem_ℓp_infty_iff memℓp_infty_iff theorem memℓp_infty {f : ∀ i, E i} (hf : BddAbove (Set.range fun i => ‖f i‖)) : Memℓp f ∞ := memℓp_infty_iff.2 hf #align mem_ℓp_infty memℓp_infty theorem memℓp_gen_iff (hp : 0 < p.toReal) {f : ∀ i, E i} : Memℓp f p ↔ Summable fun i => ‖f i‖ ^ p.toReal := by rw [ENNReal.toReal_pos_iff] at hp dsimp [Memℓp] rw [if_neg hp.1.ne', if_neg hp.2.ne] #align mem_ℓp_gen_iff memℓp_gen_iff
Mathlib/Analysis/NormedSpace/lpSpace.lean
106
114
theorem memℓp_gen {f : ∀ i, E i} (hf : Summable fun i => ‖f i‖ ^ p.toReal) : Memℓp f p := by
rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf exact (Set.Finite.of_summable_const (by norm_num) H).subset (Set.subset_univ _) · apply memℓp_infty have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf simpa using ((Set.Finite.of_summable_const (by norm_num) H).image fun i => ‖f i‖).bddAbove exact (memℓp_gen_iff hp).2 hf
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import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4" noncomputable section open scoped NNReal ENNReal Function variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)] def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop := if p = 0 then Set.Finite { i | f i ≠ 0 } else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖) else Summable fun i => ‖f i‖ ^ p.toReal #align mem_ℓp Memℓp theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by dsimp [Memℓp] rw [if_pos rfl] #align mem_ℓp_zero_iff memℓp_zero_iff theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 := memℓp_zero_iff.2 hf #align mem_ℓp_zero memℓp_zero theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by dsimp [Memℓp] rw [if_neg ENNReal.top_ne_zero, if_pos rfl] #align mem_ℓp_infty_iff memℓp_infty_iff theorem memℓp_infty {f : ∀ i, E i} (hf : BddAbove (Set.range fun i => ‖f i‖)) : Memℓp f ∞ := memℓp_infty_iff.2 hf #align mem_ℓp_infty memℓp_infty theorem memℓp_gen_iff (hp : 0 < p.toReal) {f : ∀ i, E i} : Memℓp f p ↔ Summable fun i => ‖f i‖ ^ p.toReal := by rw [ENNReal.toReal_pos_iff] at hp dsimp [Memℓp] rw [if_neg hp.1.ne', if_neg hp.2.ne] #align mem_ℓp_gen_iff memℓp_gen_iff theorem memℓp_gen {f : ∀ i, E i} (hf : Summable fun i => ‖f i‖ ^ p.toReal) : Memℓp f p := by rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf exact (Set.Finite.of_summable_const (by norm_num) H).subset (Set.subset_univ _) · apply memℓp_infty have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf simpa using ((Set.Finite.of_summable_const (by norm_num) H).image fun i => ‖f i‖).bddAbove exact (memℓp_gen_iff hp).2 hf #align mem_ℓp_gen memℓp_gen
Mathlib/Analysis/NormedSpace/lpSpace.lean
117
127
theorem memℓp_gen' {C : ℝ} {f : ∀ i, E i} (hf : ∀ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal ≤ C) : Memℓp f p := by
apply memℓp_gen use ⨆ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal apply hasSum_of_isLUB_of_nonneg · intro b exact Real.rpow_nonneg (norm_nonneg _) _ apply isLUB_ciSup use C rintro - ⟨s, rfl⟩ exact hf s
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import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4" noncomputable section open scoped NNReal ENNReal Function variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)] def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop := if p = 0 then Set.Finite { i | f i ≠ 0 } else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖) else Summable fun i => ‖f i‖ ^ p.toReal #align mem_ℓp Memℓp theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by dsimp [Memℓp] rw [if_pos rfl] #align mem_ℓp_zero_iff memℓp_zero_iff theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 := memℓp_zero_iff.2 hf #align mem_ℓp_zero memℓp_zero theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by dsimp [Memℓp] rw [if_neg ENNReal.top_ne_zero, if_pos rfl] #align mem_ℓp_infty_iff memℓp_infty_iff theorem memℓp_infty {f : ∀ i, E i} (hf : BddAbove (Set.range fun i => ‖f i‖)) : Memℓp f ∞ := memℓp_infty_iff.2 hf #align mem_ℓp_infty memℓp_infty theorem memℓp_gen_iff (hp : 0 < p.toReal) {f : ∀ i, E i} : Memℓp f p ↔ Summable fun i => ‖f i‖ ^ p.toReal := by rw [ENNReal.toReal_pos_iff] at hp dsimp [Memℓp] rw [if_neg hp.1.ne', if_neg hp.2.ne] #align mem_ℓp_gen_iff memℓp_gen_iff theorem memℓp_gen {f : ∀ i, E i} (hf : Summable fun i => ‖f i‖ ^ p.toReal) : Memℓp f p := by rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf exact (Set.Finite.of_summable_const (by norm_num) H).subset (Set.subset_univ _) · apply memℓp_infty have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf simpa using ((Set.Finite.of_summable_const (by norm_num) H).image fun i => ‖f i‖).bddAbove exact (memℓp_gen_iff hp).2 hf #align mem_ℓp_gen memℓp_gen theorem memℓp_gen' {C : ℝ} {f : ∀ i, E i} (hf : ∀ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal ≤ C) : Memℓp f p := by apply memℓp_gen use ⨆ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal apply hasSum_of_isLUB_of_nonneg · intro b exact Real.rpow_nonneg (norm_nonneg _) _ apply isLUB_ciSup use C rintro - ⟨s, rfl⟩ exact hf s #align mem_ℓp_gen' memℓp_gen'
Mathlib/Analysis/NormedSpace/lpSpace.lean
130
138
theorem zero_memℓp : Memℓp (0 : ∀ i, E i) p := by
rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero simp · apply memℓp_infty simp only [norm_zero, Pi.zero_apply] exact bddAbove_singleton.mono Set.range_const_subset · apply memℓp_gen simp [Real.zero_rpow hp.ne', summable_zero]
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import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4" noncomputable section open scoped NNReal ENNReal Function variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)] def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop := if p = 0 then Set.Finite { i | f i ≠ 0 } else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖) else Summable fun i => ‖f i‖ ^ p.toReal #align mem_ℓp Memℓp theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by dsimp [Memℓp] rw [if_pos rfl] #align mem_ℓp_zero_iff memℓp_zero_iff theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 := memℓp_zero_iff.2 hf #align mem_ℓp_zero memℓp_zero theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by dsimp [Memℓp] rw [if_neg ENNReal.top_ne_zero, if_pos rfl] #align mem_ℓp_infty_iff memℓp_infty_iff theorem memℓp_infty {f : ∀ i, E i} (hf : BddAbove (Set.range fun i => ‖f i‖)) : Memℓp f ∞ := memℓp_infty_iff.2 hf #align mem_ℓp_infty memℓp_infty theorem memℓp_gen_iff (hp : 0 < p.toReal) {f : ∀ i, E i} : Memℓp f p ↔ Summable fun i => ‖f i‖ ^ p.toReal := by rw [ENNReal.toReal_pos_iff] at hp dsimp [Memℓp] rw [if_neg hp.1.ne', if_neg hp.2.ne] #align mem_ℓp_gen_iff memℓp_gen_iff theorem memℓp_gen {f : ∀ i, E i} (hf : Summable fun i => ‖f i‖ ^ p.toReal) : Memℓp f p := by rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf exact (Set.Finite.of_summable_const (by norm_num) H).subset (Set.subset_univ _) · apply memℓp_infty have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf simpa using ((Set.Finite.of_summable_const (by norm_num) H).image fun i => ‖f i‖).bddAbove exact (memℓp_gen_iff hp).2 hf #align mem_ℓp_gen memℓp_gen theorem memℓp_gen' {C : ℝ} {f : ∀ i, E i} (hf : ∀ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal ≤ C) : Memℓp f p := by apply memℓp_gen use ⨆ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal apply hasSum_of_isLUB_of_nonneg · intro b exact Real.rpow_nonneg (norm_nonneg _) _ apply isLUB_ciSup use C rintro - ⟨s, rfl⟩ exact hf s #align mem_ℓp_gen' memℓp_gen' theorem zero_memℓp : Memℓp (0 : ∀ i, E i) p := by rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero simp · apply memℓp_infty simp only [norm_zero, Pi.zero_apply] exact bddAbove_singleton.mono Set.range_const_subset · apply memℓp_gen simp [Real.zero_rpow hp.ne', summable_zero] #align zero_mem_ℓp zero_memℓp theorem zero_mem_ℓp' : Memℓp (fun i : α => (0 : E i)) p := zero_memℓp #align zero_mem_ℓp' zero_mem_ℓp' namespace Memℓp theorem finite_dsupport {f : ∀ i, E i} (hf : Memℓp f 0) : Set.Finite { i | f i ≠ 0 } := memℓp_zero_iff.1 hf #align mem_ℓp.finite_dsupport Memℓp.finite_dsupport theorem bddAbove {f : ∀ i, E i} (hf : Memℓp f ∞) : BddAbove (Set.range fun i => ‖f i‖) := memℓp_infty_iff.1 hf #align mem_ℓp.bdd_above Memℓp.bddAbove theorem summable (hp : 0 < p.toReal) {f : ∀ i, E i} (hf : Memℓp f p) : Summable fun i => ‖f i‖ ^ p.toReal := (memℓp_gen_iff hp).1 hf #align mem_ℓp.summable Memℓp.summable
Mathlib/Analysis/NormedSpace/lpSpace.lean
160
167
theorem neg {f : ∀ i, E i} (hf : Memℓp f p) : Memℓp (-f) p := by
rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero simp [hf.finite_dsupport] · apply memℓp_infty simpa using hf.bddAbove · apply memℓp_gen simpa using hf.summable hp
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import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.Topology.Algebra.Order.LiminfLimsup #align_import analysis.normed_space.lp_space from "leanprover-community/mathlib"@"de83b43717abe353f425855fcf0cedf9ea0fe8a4" noncomputable section open scoped NNReal ENNReal Function variable {α : Type*} {E : α → Type*} {p q : ℝ≥0∞} [∀ i, NormedAddCommGroup (E i)] def Memℓp (f : ∀ i, E i) (p : ℝ≥0∞) : Prop := if p = 0 then Set.Finite { i | f i ≠ 0 } else if p = ∞ then BddAbove (Set.range fun i => ‖f i‖) else Summable fun i => ‖f i‖ ^ p.toReal #align mem_ℓp Memℓp theorem memℓp_zero_iff {f : ∀ i, E i} : Memℓp f 0 ↔ Set.Finite { i | f i ≠ 0 } := by dsimp [Memℓp] rw [if_pos rfl] #align mem_ℓp_zero_iff memℓp_zero_iff theorem memℓp_zero {f : ∀ i, E i} (hf : Set.Finite { i | f i ≠ 0 }) : Memℓp f 0 := memℓp_zero_iff.2 hf #align mem_ℓp_zero memℓp_zero theorem memℓp_infty_iff {f : ∀ i, E i} : Memℓp f ∞ ↔ BddAbove (Set.range fun i => ‖f i‖) := by dsimp [Memℓp] rw [if_neg ENNReal.top_ne_zero, if_pos rfl] #align mem_ℓp_infty_iff memℓp_infty_iff theorem memℓp_infty {f : ∀ i, E i} (hf : BddAbove (Set.range fun i => ‖f i‖)) : Memℓp f ∞ := memℓp_infty_iff.2 hf #align mem_ℓp_infty memℓp_infty theorem memℓp_gen_iff (hp : 0 < p.toReal) {f : ∀ i, E i} : Memℓp f p ↔ Summable fun i => ‖f i‖ ^ p.toReal := by rw [ENNReal.toReal_pos_iff] at hp dsimp [Memℓp] rw [if_neg hp.1.ne', if_neg hp.2.ne] #align mem_ℓp_gen_iff memℓp_gen_iff theorem memℓp_gen {f : ∀ i, E i} (hf : Summable fun i => ‖f i‖ ^ p.toReal) : Memℓp f p := by rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf exact (Set.Finite.of_summable_const (by norm_num) H).subset (Set.subset_univ _) · apply memℓp_infty have H : Summable fun _ : α => (1 : ℝ) := by simpa using hf simpa using ((Set.Finite.of_summable_const (by norm_num) H).image fun i => ‖f i‖).bddAbove exact (memℓp_gen_iff hp).2 hf #align mem_ℓp_gen memℓp_gen theorem memℓp_gen' {C : ℝ} {f : ∀ i, E i} (hf : ∀ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal ≤ C) : Memℓp f p := by apply memℓp_gen use ⨆ s : Finset α, ∑ i ∈ s, ‖f i‖ ^ p.toReal apply hasSum_of_isLUB_of_nonneg · intro b exact Real.rpow_nonneg (norm_nonneg _) _ apply isLUB_ciSup use C rintro - ⟨s, rfl⟩ exact hf s #align mem_ℓp_gen' memℓp_gen' theorem zero_memℓp : Memℓp (0 : ∀ i, E i) p := by rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero simp · apply memℓp_infty simp only [norm_zero, Pi.zero_apply] exact bddAbove_singleton.mono Set.range_const_subset · apply memℓp_gen simp [Real.zero_rpow hp.ne', summable_zero] #align zero_mem_ℓp zero_memℓp theorem zero_mem_ℓp' : Memℓp (fun i : α => (0 : E i)) p := zero_memℓp #align zero_mem_ℓp' zero_mem_ℓp' namespace Memℓp theorem finite_dsupport {f : ∀ i, E i} (hf : Memℓp f 0) : Set.Finite { i | f i ≠ 0 } := memℓp_zero_iff.1 hf #align mem_ℓp.finite_dsupport Memℓp.finite_dsupport theorem bddAbove {f : ∀ i, E i} (hf : Memℓp f ∞) : BddAbove (Set.range fun i => ‖f i‖) := memℓp_infty_iff.1 hf #align mem_ℓp.bdd_above Memℓp.bddAbove theorem summable (hp : 0 < p.toReal) {f : ∀ i, E i} (hf : Memℓp f p) : Summable fun i => ‖f i‖ ^ p.toReal := (memℓp_gen_iff hp).1 hf #align mem_ℓp.summable Memℓp.summable theorem neg {f : ∀ i, E i} (hf : Memℓp f p) : Memℓp (-f) p := by rcases p.trichotomy with (rfl | rfl | hp) · apply memℓp_zero simp [hf.finite_dsupport] · apply memℓp_infty simpa using hf.bddAbove · apply memℓp_gen simpa using hf.summable hp #align mem_ℓp.neg Memℓp.neg @[simp] theorem neg_iff {f : ∀ i, E i} : Memℓp (-f) p ↔ Memℓp f p := ⟨fun h => neg_neg f ▸ h.neg, Memℓp.neg⟩ #align mem_ℓp.neg_iff Memℓp.neg_iff
Mathlib/Analysis/NormedSpace/lpSpace.lean
175
211
theorem of_exponent_ge {p q : ℝ≥0∞} {f : ∀ i, E i} (hfq : Memℓp f q) (hpq : q ≤ p) : Memℓp f p := by
rcases ENNReal.trichotomy₂ hpq with (⟨rfl, rfl⟩ | ⟨rfl, rfl⟩ | ⟨rfl, hp⟩ | ⟨rfl, rfl⟩ | ⟨hq, rfl⟩ | ⟨hq, _, hpq'⟩) · exact hfq · apply memℓp_infty obtain ⟨C, hC⟩ := (hfq.finite_dsupport.image fun i => ‖f i‖).bddAbove use max 0 C rintro x ⟨i, rfl⟩ by_cases hi : f i = 0 · simp [hi] · exact (hC ⟨i, hi, rfl⟩).trans (le_max_right _ _) · apply memℓp_gen have : ∀ i ∉ hfq.finite_dsupport.toFinset, ‖f i‖ ^ p.toReal = 0 := by intro i hi have : f i = 0 := by simpa using hi simp [this, Real.zero_rpow hp.ne'] exact summable_of_ne_finset_zero this · exact hfq · apply memℓp_infty obtain ⟨A, hA⟩ := (hfq.summable hq).tendsto_cofinite_zero.bddAbove_range_of_cofinite use A ^ q.toReal⁻¹ rintro x ⟨i, rfl⟩ have : 0 ≤ ‖f i‖ ^ q.toReal := by positivity simpa [← Real.rpow_mul, mul_inv_cancel hq.ne'] using Real.rpow_le_rpow this (hA ⟨i, rfl⟩) (inv_nonneg.mpr hq.le) · apply memℓp_gen have hf' := hfq.summable hq refine .of_norm_bounded_eventually _ hf' (@Set.Finite.subset _ { i | 1 ≤ ‖f i‖ } ?_ _ ?_) · have H : { x : α | 1 ≤ ‖f x‖ ^ q.toReal }.Finite := by simpa using eventually_lt_of_tendsto_lt (by norm_num) hf'.tendsto_cofinite_zero exact H.subset fun i hi => Real.one_le_rpow hi hq.le · show ∀ i, ¬|‖f i‖ ^ p.toReal| ≤ ‖f i‖ ^ q.toReal → 1 ≤ ‖f i‖ intro i hi have : 0 ≤ ‖f i‖ ^ p.toReal := Real.rpow_nonneg (norm_nonneg _) p.toReal simp only [abs_of_nonneg, this] at hi contrapose! hi exact Real.rpow_le_rpow_of_exponent_ge' (norm_nonneg _) hi.le hq.le hpq'
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import Mathlib.Analysis.NormedSpace.lpSpace import Mathlib.Topology.Sets.Compacts #align_import topology.metric_space.kuratowski from "leanprover-community/mathlib"@"95d4f6586d313c8c28e00f36621d2a6a66893aa6" noncomputable section set_option linter.uppercaseLean3 false open Set Metric TopologicalSpace NNReal ENNReal lp Function universe u v w variable {α : Type u} {β : Type v} {γ : Type w} namespace KuratowskiEmbedding variable {f g : ℓ^∞(ℕ)} {n : ℕ} {C : ℝ} [MetricSpace α] (x : ℕ → α) (a b : α) def embeddingOfSubset : ℓ^∞(ℕ) := ⟨fun n => dist a (x n) - dist (x 0) (x n), by apply memℓp_infty use dist a (x 0) rintro - ⟨n, rfl⟩ exact abs_dist_sub_le _ _ _⟩ #align Kuratowski_embedding.embedding_of_subset KuratowskiEmbedding.embeddingOfSubset theorem embeddingOfSubset_coe : embeddingOfSubset x a n = dist a (x n) - dist (x 0) (x n) := rfl #align Kuratowski_embedding.embedding_of_subset_coe KuratowskiEmbedding.embeddingOfSubset_coe
Mathlib/Topology/MetricSpace/Kuratowski.lean
52
57
theorem embeddingOfSubset_dist_le (a b : α) : dist (embeddingOfSubset x a) (embeddingOfSubset x b) ≤ dist a b := by
refine lp.norm_le_of_forall_le dist_nonneg fun n => ?_ simp only [lp.coeFn_sub, Pi.sub_apply, embeddingOfSubset_coe, Real.dist_eq] convert abs_dist_sub_le a b (x n) using 2 ring
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import Mathlib.Analysis.NormedSpace.lpSpace import Mathlib.Topology.Sets.Compacts #align_import topology.metric_space.kuratowski from "leanprover-community/mathlib"@"95d4f6586d313c8c28e00f36621d2a6a66893aa6" noncomputable section set_option linter.uppercaseLean3 false open Set Metric TopologicalSpace NNReal ENNReal lp Function universe u v w variable {α : Type u} {β : Type v} {γ : Type w} namespace KuratowskiEmbedding variable {f g : ℓ^∞(ℕ)} {n : ℕ} {C : ℝ} [MetricSpace α] (x : ℕ → α) (a b : α) def embeddingOfSubset : ℓ^∞(ℕ) := ⟨fun n => dist a (x n) - dist (x 0) (x n), by apply memℓp_infty use dist a (x 0) rintro - ⟨n, rfl⟩ exact abs_dist_sub_le _ _ _⟩ #align Kuratowski_embedding.embedding_of_subset KuratowskiEmbedding.embeddingOfSubset theorem embeddingOfSubset_coe : embeddingOfSubset x a n = dist a (x n) - dist (x 0) (x n) := rfl #align Kuratowski_embedding.embedding_of_subset_coe KuratowskiEmbedding.embeddingOfSubset_coe theorem embeddingOfSubset_dist_le (a b : α) : dist (embeddingOfSubset x a) (embeddingOfSubset x b) ≤ dist a b := by refine lp.norm_le_of_forall_le dist_nonneg fun n => ?_ simp only [lp.coeFn_sub, Pi.sub_apply, embeddingOfSubset_coe, Real.dist_eq] convert abs_dist_sub_le a b (x n) using 2 ring #align Kuratowski_embedding.embedding_of_subset_dist_le KuratowskiEmbedding.embeddingOfSubset_dist_le
Mathlib/Topology/MetricSpace/Kuratowski.lean
61
87
theorem embeddingOfSubset_isometry (H : DenseRange x) : Isometry (embeddingOfSubset x) := by
refine Isometry.of_dist_eq fun a b => ?_ refine (embeddingOfSubset_dist_le x a b).antisymm (le_of_forall_pos_le_add fun e epos => ?_) -- First step: find n with dist a (x n) < e rcases Metric.mem_closure_range_iff.1 (H a) (e / 2) (half_pos epos) with ⟨n, hn⟩ -- Second step: use the norm control at index n to conclude have C : dist b (x n) - dist a (x n) = embeddingOfSubset x b n - embeddingOfSubset x a n := by simp only [embeddingOfSubset_coe, sub_sub_sub_cancel_right] have := calc dist a b ≤ dist a (x n) + dist (x n) b := dist_triangle _ _ _ _ = 2 * dist a (x n) + (dist b (x n) - dist a (x n)) := by simp [dist_comm]; ring _ ≤ 2 * dist a (x n) + |dist b (x n) - dist a (x n)| := by apply_rules [add_le_add_left, le_abs_self] _ ≤ 2 * (e / 2) + |embeddingOfSubset x b n - embeddingOfSubset x a n| := by rw [C] apply_rules [add_le_add, mul_le_mul_of_nonneg_left, hn.le, le_refl] norm_num _ ≤ 2 * (e / 2) + dist (embeddingOfSubset x b) (embeddingOfSubset x a) := by have : |embeddingOfSubset x b n - embeddingOfSubset x a n| ≤ dist (embeddingOfSubset x b) (embeddingOfSubset x a) := by simp only [dist_eq_norm] exact lp.norm_apply_le_norm ENNReal.top_ne_zero (embeddingOfSubset x b - embeddingOfSubset x a) n nlinarith _ = dist (embeddingOfSubset x b) (embeddingOfSubset x a) + e := by ring simpa [dist_comm] using this
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import Mathlib.Analysis.NormedSpace.lpSpace import Mathlib.Topology.Sets.Compacts #align_import topology.metric_space.kuratowski from "leanprover-community/mathlib"@"95d4f6586d313c8c28e00f36621d2a6a66893aa6" noncomputable section set_option linter.uppercaseLean3 false open Set Metric TopologicalSpace NNReal ENNReal lp Function universe u v w variable {α : Type u} {β : Type v} {γ : Type w} namespace KuratowskiEmbedding variable {f g : ℓ^∞(ℕ)} {n : ℕ} {C : ℝ} [MetricSpace α] (x : ℕ → α) (a b : α) def embeddingOfSubset : ℓ^∞(ℕ) := ⟨fun n => dist a (x n) - dist (x 0) (x n), by apply memℓp_infty use dist a (x 0) rintro - ⟨n, rfl⟩ exact abs_dist_sub_le _ _ _⟩ #align Kuratowski_embedding.embedding_of_subset KuratowskiEmbedding.embeddingOfSubset theorem embeddingOfSubset_coe : embeddingOfSubset x a n = dist a (x n) - dist (x 0) (x n) := rfl #align Kuratowski_embedding.embedding_of_subset_coe KuratowskiEmbedding.embeddingOfSubset_coe theorem embeddingOfSubset_dist_le (a b : α) : dist (embeddingOfSubset x a) (embeddingOfSubset x b) ≤ dist a b := by refine lp.norm_le_of_forall_le dist_nonneg fun n => ?_ simp only [lp.coeFn_sub, Pi.sub_apply, embeddingOfSubset_coe, Real.dist_eq] convert abs_dist_sub_le a b (x n) using 2 ring #align Kuratowski_embedding.embedding_of_subset_dist_le KuratowskiEmbedding.embeddingOfSubset_dist_le theorem embeddingOfSubset_isometry (H : DenseRange x) : Isometry (embeddingOfSubset x) := by refine Isometry.of_dist_eq fun a b => ?_ refine (embeddingOfSubset_dist_le x a b).antisymm (le_of_forall_pos_le_add fun e epos => ?_) -- First step: find n with dist a (x n) < e rcases Metric.mem_closure_range_iff.1 (H a) (e / 2) (half_pos epos) with ⟨n, hn⟩ -- Second step: use the norm control at index n to conclude have C : dist b (x n) - dist a (x n) = embeddingOfSubset x b n - embeddingOfSubset x a n := by simp only [embeddingOfSubset_coe, sub_sub_sub_cancel_right] have := calc dist a b ≤ dist a (x n) + dist (x n) b := dist_triangle _ _ _ _ = 2 * dist a (x n) + (dist b (x n) - dist a (x n)) := by simp [dist_comm]; ring _ ≤ 2 * dist a (x n) + |dist b (x n) - dist a (x n)| := by apply_rules [add_le_add_left, le_abs_self] _ ≤ 2 * (e / 2) + |embeddingOfSubset x b n - embeddingOfSubset x a n| := by rw [C] apply_rules [add_le_add, mul_le_mul_of_nonneg_left, hn.le, le_refl] norm_num _ ≤ 2 * (e / 2) + dist (embeddingOfSubset x b) (embeddingOfSubset x a) := by have : |embeddingOfSubset x b n - embeddingOfSubset x a n| ≤ dist (embeddingOfSubset x b) (embeddingOfSubset x a) := by simp only [dist_eq_norm] exact lp.norm_apply_le_norm ENNReal.top_ne_zero (embeddingOfSubset x b - embeddingOfSubset x a) n nlinarith _ = dist (embeddingOfSubset x b) (embeddingOfSubset x a) + e := by ring simpa [dist_comm] using this #align Kuratowski_embedding.embedding_of_subset_isometry KuratowskiEmbedding.embeddingOfSubset_isometry
Mathlib/Topology/MetricSpace/Kuratowski.lean
91
102
theorem exists_isometric_embedding (α : Type u) [MetricSpace α] [SeparableSpace α] : ∃ f : α → ℓ^∞(ℕ), Isometry f := by
rcases (univ : Set α).eq_empty_or_nonempty with h | h · use fun _ => 0; intro x; exact absurd h (Nonempty.ne_empty ⟨x, mem_univ x⟩) · -- We construct a map x : ℕ → α with dense image rcases h with ⟨basepoint⟩ haveI : Inhabited α := ⟨basepoint⟩ have : ∃ s : Set α, s.Countable ∧ Dense s := exists_countable_dense α rcases this with ⟨S, ⟨S_countable, S_dense⟩⟩ rcases Set.countable_iff_exists_subset_range.1 S_countable with ⟨x, x_range⟩ -- Use embeddingOfSubset to construct the desired isometry exact ⟨embeddingOfSubset x, embeddingOfSubset_isometry x (S_dense.mono x_range)⟩
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import Mathlib.Analysis.NormedSpace.lpSpace import Mathlib.Analysis.NormedSpace.PiLp import Mathlib.Topology.ContinuousFunction.Bounded #align_import analysis.normed_space.lp_equiv from "leanprover-community/mathlib"@"6afc9b06856ad973f6a2619e3e8a0a8d537a58f2" open scoped ENNReal section LpPiLp set_option linter.uppercaseLean3 false variable {α : Type*} {E : α → Type*} [∀ i, NormedAddCommGroup (E i)] {p : ℝ≥0∞} section Finite variable [Finite α]
Mathlib/Analysis/NormedSpace/LpEquiv.lean
54
58
theorem Memℓp.all (f : ∀ i, E i) : Memℓp f p := by
rcases p.trichotomy with (rfl | rfl | _h) · exact memℓp_zero_iff.mpr { i : α | f i ≠ 0 }.toFinite · exact memℓp_infty_iff.mpr (Set.Finite.bddAbove (Set.range fun i : α ↦ ‖f i‖).toFinite) · cases nonempty_fintype α; exact memℓp_gen ⟨Finset.univ.sum _, hasSum_fintype _⟩
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import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic #align_import measure_theory.integral.mean_inequalities from "leanprover-community/mathlib"@"13bf7613c96a9fd66a81b9020a82cad9a6ea1fcf" section LIntegral noncomputable section open scoped Classical open NNReal ENNReal MeasureTheory Finset set_option linter.uppercaseLean3 false variable {α : Type*} [MeasurableSpace α] {μ : Measure α} namespace ENNReal
Mathlib/MeasureTheory/Integral/MeanInequalities.lean
66
79
theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1) (hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by
calc (∫⁻ a : α, (f * g) a ∂μ) ≤ ∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ := lintegral_mono fun a => young_inequality (f a) (g a) hpq _ = 1 := by simp only [div_eq_mul_inv] rw [lintegral_add_left'] · rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm, one_mul, one_mul, hpq.inv_add_inv_conj_ennreal] simp [hpq.symm.pos] · exact (hf.pow_const _).mul_const _
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import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic #align_import measure_theory.integral.mean_inequalities from "leanprover-community/mathlib"@"13bf7613c96a9fd66a81b9020a82cad9a6ea1fcf" section LIntegral noncomputable section open scoped Classical open NNReal ENNReal MeasureTheory Finset set_option linter.uppercaseLean3 false variable {α : Type*} [MeasurableSpace α] {μ : Measure α} namespace ENNReal theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1) (hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by calc (∫⁻ a : α, (f * g) a ∂μ) ≤ ∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ := lintegral_mono fun a => young_inequality (f a) (g a) hpq _ = 1 := by simp only [div_eq_mul_inv] rw [lintegral_add_left'] · rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm, one_mul, one_mul, hpq.inv_add_inv_conj_ennreal] simp [hpq.symm.pos] · exact (hf.pow_const _).mul_const _ #align ennreal.lintegral_mul_le_one_of_lintegral_rpow_eq_one ENNReal.lintegral_mul_le_one_of_lintegral_rpow_eq_one def funMulInvSnorm (f : α → ℝ≥0∞) (p : ℝ) (μ : Measure α) : α → ℝ≥0∞ := fun a => f a * ((∫⁻ c, f c ^ p ∂μ) ^ (1 / p))⁻¹ #align ennreal.fun_mul_inv_snorm ENNReal.funMulInvSnorm
Mathlib/MeasureTheory/Integral/MeanInequalities.lean
87
90
theorem fun_eq_funMulInvSnorm_mul_snorm {p : ℝ} (f : α → ℝ≥0∞) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) {a : α} : f a = funMulInvSnorm f p μ a * (∫⁻ c, f c ^ p ∂μ) ^ (1 / p) := by
simp [funMulInvSnorm, mul_assoc, ENNReal.inv_mul_cancel, hf_nonzero, hf_top]
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import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic #align_import measure_theory.integral.mean_inequalities from "leanprover-community/mathlib"@"13bf7613c96a9fd66a81b9020a82cad9a6ea1fcf" section LIntegral noncomputable section open scoped Classical open NNReal ENNReal MeasureTheory Finset set_option linter.uppercaseLean3 false variable {α : Type*} [MeasurableSpace α] {μ : Measure α} namespace ENNReal theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1) (hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by calc (∫⁻ a : α, (f * g) a ∂μ) ≤ ∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ := lintegral_mono fun a => young_inequality (f a) (g a) hpq _ = 1 := by simp only [div_eq_mul_inv] rw [lintegral_add_left'] · rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm, one_mul, one_mul, hpq.inv_add_inv_conj_ennreal] simp [hpq.symm.pos] · exact (hf.pow_const _).mul_const _ #align ennreal.lintegral_mul_le_one_of_lintegral_rpow_eq_one ENNReal.lintegral_mul_le_one_of_lintegral_rpow_eq_one def funMulInvSnorm (f : α → ℝ≥0∞) (p : ℝ) (μ : Measure α) : α → ℝ≥0∞ := fun a => f a * ((∫⁻ c, f c ^ p ∂μ) ^ (1 / p))⁻¹ #align ennreal.fun_mul_inv_snorm ENNReal.funMulInvSnorm theorem fun_eq_funMulInvSnorm_mul_snorm {p : ℝ} (f : α → ℝ≥0∞) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) {a : α} : f a = funMulInvSnorm f p μ a * (∫⁻ c, f c ^ p ∂μ) ^ (1 / p) := by simp [funMulInvSnorm, mul_assoc, ENNReal.inv_mul_cancel, hf_nonzero, hf_top] #align ennreal.fun_eq_fun_mul_inv_snorm_mul_snorm ENNReal.fun_eq_funMulInvSnorm_mul_snorm
Mathlib/MeasureTheory/Integral/MeanInequalities.lean
93
98
theorem funMulInvSnorm_rpow {p : ℝ} (hp0 : 0 < p) {f : α → ℝ≥0∞} {a : α} : funMulInvSnorm f p μ a ^ p = f a ^ p * (∫⁻ c, f c ^ p ∂μ)⁻¹ := by
rw [funMulInvSnorm, mul_rpow_of_nonneg _ _ (le_of_lt hp0)] suffices h_inv_rpow : ((∫⁻ c : α, f c ^ p ∂μ) ^ (1 / p))⁻¹ ^ p = (∫⁻ c : α, f c ^ p ∂μ)⁻¹ by rw [h_inv_rpow] rw [inv_rpow, ← rpow_mul, one_div_mul_cancel hp0.ne', rpow_one]
2,107
import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic #align_import measure_theory.integral.mean_inequalities from "leanprover-community/mathlib"@"13bf7613c96a9fd66a81b9020a82cad9a6ea1fcf" section LIntegral noncomputable section open scoped Classical open NNReal ENNReal MeasureTheory Finset set_option linter.uppercaseLean3 false variable {α : Type*} [MeasurableSpace α] {μ : Measure α} namespace ENNReal theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1) (hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by calc (∫⁻ a : α, (f * g) a ∂μ) ≤ ∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ := lintegral_mono fun a => young_inequality (f a) (g a) hpq _ = 1 := by simp only [div_eq_mul_inv] rw [lintegral_add_left'] · rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm, one_mul, one_mul, hpq.inv_add_inv_conj_ennreal] simp [hpq.symm.pos] · exact (hf.pow_const _).mul_const _ #align ennreal.lintegral_mul_le_one_of_lintegral_rpow_eq_one ENNReal.lintegral_mul_le_one_of_lintegral_rpow_eq_one def funMulInvSnorm (f : α → ℝ≥0∞) (p : ℝ) (μ : Measure α) : α → ℝ≥0∞ := fun a => f a * ((∫⁻ c, f c ^ p ∂μ) ^ (1 / p))⁻¹ #align ennreal.fun_mul_inv_snorm ENNReal.funMulInvSnorm theorem fun_eq_funMulInvSnorm_mul_snorm {p : ℝ} (f : α → ℝ≥0∞) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) {a : α} : f a = funMulInvSnorm f p μ a * (∫⁻ c, f c ^ p ∂μ) ^ (1 / p) := by simp [funMulInvSnorm, mul_assoc, ENNReal.inv_mul_cancel, hf_nonzero, hf_top] #align ennreal.fun_eq_fun_mul_inv_snorm_mul_snorm ENNReal.fun_eq_funMulInvSnorm_mul_snorm theorem funMulInvSnorm_rpow {p : ℝ} (hp0 : 0 < p) {f : α → ℝ≥0∞} {a : α} : funMulInvSnorm f p μ a ^ p = f a ^ p * (∫⁻ c, f c ^ p ∂μ)⁻¹ := by rw [funMulInvSnorm, mul_rpow_of_nonneg _ _ (le_of_lt hp0)] suffices h_inv_rpow : ((∫⁻ c : α, f c ^ p ∂μ) ^ (1 / p))⁻¹ ^ p = (∫⁻ c : α, f c ^ p ∂μ)⁻¹ by rw [h_inv_rpow] rw [inv_rpow, ← rpow_mul, one_div_mul_cancel hp0.ne', rpow_one] #align ennreal.fun_mul_inv_snorm_rpow ENNReal.funMulInvSnorm_rpow
Mathlib/MeasureTheory/Integral/MeanInequalities.lean
101
106
theorem lintegral_rpow_funMulInvSnorm_eq_one {p : ℝ} (hp0_lt : 0 < p) {f : α → ℝ≥0∞} (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) : ∫⁻ c, funMulInvSnorm f p μ c ^ p ∂μ = 1 := by
simp_rw [funMulInvSnorm_rpow hp0_lt] rw [lintegral_mul_const', ENNReal.mul_inv_cancel hf_nonzero hf_top] rwa [inv_ne_top]
2,107
import Mathlib.MeasureTheory.Integral.Lebesgue import Mathlib.Analysis.MeanInequalities import Mathlib.Analysis.MeanInequalitiesPow import Mathlib.MeasureTheory.Function.SpecialFunctions.Basic #align_import measure_theory.integral.mean_inequalities from "leanprover-community/mathlib"@"13bf7613c96a9fd66a81b9020a82cad9a6ea1fcf" section LIntegral noncomputable section open scoped Classical open NNReal ENNReal MeasureTheory Finset set_option linter.uppercaseLean3 false variable {α : Type*} [MeasurableSpace α] {μ : Measure α} namespace ENNReal theorem lintegral_mul_le_one_of_lintegral_rpow_eq_one {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_norm : ∫⁻ a, f a ^ p ∂μ = 1) (hg_norm : ∫⁻ a, g a ^ q ∂μ = 1) : (∫⁻ a, (f * g) a ∂μ) ≤ 1 := by calc (∫⁻ a : α, (f * g) a ∂μ) ≤ ∫⁻ a : α, f a ^ p / ENNReal.ofReal p + g a ^ q / ENNReal.ofReal q ∂μ := lintegral_mono fun a => young_inequality (f a) (g a) hpq _ = 1 := by simp only [div_eq_mul_inv] rw [lintegral_add_left'] · rw [lintegral_mul_const'' _ (hf.pow_const p), lintegral_mul_const', hf_norm, hg_norm, one_mul, one_mul, hpq.inv_add_inv_conj_ennreal] simp [hpq.symm.pos] · exact (hf.pow_const _).mul_const _ #align ennreal.lintegral_mul_le_one_of_lintegral_rpow_eq_one ENNReal.lintegral_mul_le_one_of_lintegral_rpow_eq_one def funMulInvSnorm (f : α → ℝ≥0∞) (p : ℝ) (μ : Measure α) : α → ℝ≥0∞ := fun a => f a * ((∫⁻ c, f c ^ p ∂μ) ^ (1 / p))⁻¹ #align ennreal.fun_mul_inv_snorm ENNReal.funMulInvSnorm theorem fun_eq_funMulInvSnorm_mul_snorm {p : ℝ} (f : α → ℝ≥0∞) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) {a : α} : f a = funMulInvSnorm f p μ a * (∫⁻ c, f c ^ p ∂μ) ^ (1 / p) := by simp [funMulInvSnorm, mul_assoc, ENNReal.inv_mul_cancel, hf_nonzero, hf_top] #align ennreal.fun_eq_fun_mul_inv_snorm_mul_snorm ENNReal.fun_eq_funMulInvSnorm_mul_snorm theorem funMulInvSnorm_rpow {p : ℝ} (hp0 : 0 < p) {f : α → ℝ≥0∞} {a : α} : funMulInvSnorm f p μ a ^ p = f a ^ p * (∫⁻ c, f c ^ p ∂μ)⁻¹ := by rw [funMulInvSnorm, mul_rpow_of_nonneg _ _ (le_of_lt hp0)] suffices h_inv_rpow : ((∫⁻ c : α, f c ^ p ∂μ) ^ (1 / p))⁻¹ ^ p = (∫⁻ c : α, f c ^ p ∂μ)⁻¹ by rw [h_inv_rpow] rw [inv_rpow, ← rpow_mul, one_div_mul_cancel hp0.ne', rpow_one] #align ennreal.fun_mul_inv_snorm_rpow ENNReal.funMulInvSnorm_rpow theorem lintegral_rpow_funMulInvSnorm_eq_one {p : ℝ} (hp0_lt : 0 < p) {f : α → ℝ≥0∞} (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hf_top : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) : ∫⁻ c, funMulInvSnorm f p μ c ^ p ∂μ = 1 := by simp_rw [funMulInvSnorm_rpow hp0_lt] rw [lintegral_mul_const', ENNReal.mul_inv_cancel hf_nonzero hf_top] rwa [inv_ne_top] #align ennreal.lintegral_rpow_fun_mul_inv_snorm_eq_one ENNReal.lintegral_rpow_funMulInvSnorm_eq_one
Mathlib/MeasureTheory/Integral/MeanInequalities.lean
110
130
theorem lintegral_mul_le_Lp_mul_Lq_of_ne_zero_of_ne_top {p q : ℝ} (hpq : p.IsConjExponent q) {f g : α → ℝ≥0∞} (hf : AEMeasurable f μ) (hf_nontop : (∫⁻ a, f a ^ p ∂μ) ≠ ⊤) (hg_nontop : (∫⁻ a, g a ^ q ∂μ) ≠ ⊤) (hf_nonzero : (∫⁻ a, f a ^ p ∂μ) ≠ 0) (hg_nonzero : (∫⁻ a, g a ^ q ∂μ) ≠ 0) : (∫⁻ a, (f * g) a ∂μ) ≤ (∫⁻ a, f a ^ p ∂μ) ^ (1 / p) * (∫⁻ a, g a ^ q ∂μ) ^ (1 / q) := by
let npf := (∫⁻ c : α, f c ^ p ∂μ) ^ (1 / p) let nqg := (∫⁻ c : α, g c ^ q ∂μ) ^ (1 / q) calc (∫⁻ a : α, (f * g) a ∂μ) = ∫⁻ a : α, (funMulInvSnorm f p μ * funMulInvSnorm g q μ) a * (npf * nqg) ∂μ := by refine lintegral_congr fun a => ?_ rw [Pi.mul_apply, fun_eq_funMulInvSnorm_mul_snorm f hf_nonzero hf_nontop, fun_eq_funMulInvSnorm_mul_snorm g hg_nonzero hg_nontop, Pi.mul_apply] ring _ ≤ npf * nqg := by rw [lintegral_mul_const' (npf * nqg) _ (by simp [npf, nqg, hf_nontop, hg_nontop, hf_nonzero, hg_nonzero, ENNReal.mul_eq_top])] refine mul_le_of_le_one_left' ?_ have hf1 := lintegral_rpow_funMulInvSnorm_eq_one hpq.pos hf_nonzero hf_nontop have hg1 := lintegral_rpow_funMulInvSnorm_eq_one hpq.symm.pos hg_nonzero hg_nontop exact lintegral_mul_le_one_of_lintegral_rpow_eq_one hpq (hf.mul_const _) hf1 hg1
2,107
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E}
Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean
26
33
theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by
gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1
2,108
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E} theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1 #align measure_theory.snorm'_add_le MeasureTheory.snorm'_add_le
Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean
36
44
theorem snorm'_add_le_of_le_one {f g : α → E} (hf : AEStronglyMeasurable f μ) (hq0 : 0 ≤ q) (hq1 : q ≤ 1) : snorm' (f + g) q μ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by
gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := ENNReal.lintegral_Lp_add_le_of_le_one hf.ennnorm hq0 hq1
2,108
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E} theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1 #align measure_theory.snorm'_add_le MeasureTheory.snorm'_add_le theorem snorm'_add_le_of_le_one {f g : α → E} (hf : AEStronglyMeasurable f μ) (hq0 : 0 ≤ q) (hq1 : q ≤ 1) : snorm' (f + g) q μ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := ENNReal.lintegral_Lp_add_le_of_le_one hf.ennnorm hq0 hq1 #align measure_theory.snorm'_add_le_of_le_one MeasureTheory.snorm'_add_le_of_le_one
Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean
47
51
theorem snormEssSup_add_le {f g : α → E} : snormEssSup (f + g) μ ≤ snormEssSup f μ + snormEssSup g μ := by
refine le_trans (essSup_mono_ae (eventually_of_forall fun x => ?_)) (ENNReal.essSup_add_le _ _) simp_rw [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe] exact nnnorm_add_le _ _
2,108
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E} theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1 #align measure_theory.snorm'_add_le MeasureTheory.snorm'_add_le theorem snorm'_add_le_of_le_one {f g : α → E} (hf : AEStronglyMeasurable f μ) (hq0 : 0 ≤ q) (hq1 : q ≤ 1) : snorm' (f + g) q μ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := ENNReal.lintegral_Lp_add_le_of_le_one hf.ennnorm hq0 hq1 #align measure_theory.snorm'_add_le_of_le_one MeasureTheory.snorm'_add_le_of_le_one theorem snormEssSup_add_le {f g : α → E} : snormEssSup (f + g) μ ≤ snormEssSup f μ + snormEssSup g μ := by refine le_trans (essSup_mono_ae (eventually_of_forall fun x => ?_)) (ENNReal.essSup_add_le _ _) simp_rw [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe] exact nnnorm_add_le _ _ #align measure_theory.snorm_ess_sup_add_le MeasureTheory.snormEssSup_add_le
Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean
54
63
theorem snorm_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hp1 : 1 ≤ p) : snorm (f + g) p μ ≤ snorm f p μ + snorm g p μ := by
by_cases hp0 : p = 0 · simp [hp0] by_cases hp_top : p = ∞ · simp [hp_top, snormEssSup_add_le] have hp1_real : 1 ≤ p.toReal := by rwa [← ENNReal.one_toReal, ENNReal.toReal_le_toReal ENNReal.one_ne_top hp_top] repeat rw [snorm_eq_snorm' hp0 hp_top] exact snorm'_add_le hf hg hp1_real
2,108
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E} theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1 #align measure_theory.snorm'_add_le MeasureTheory.snorm'_add_le theorem snorm'_add_le_of_le_one {f g : α → E} (hf : AEStronglyMeasurable f μ) (hq0 : 0 ≤ q) (hq1 : q ≤ 1) : snorm' (f + g) q μ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := ENNReal.lintegral_Lp_add_le_of_le_one hf.ennnorm hq0 hq1 #align measure_theory.snorm'_add_le_of_le_one MeasureTheory.snorm'_add_le_of_le_one theorem snormEssSup_add_le {f g : α → E} : snormEssSup (f + g) μ ≤ snormEssSup f μ + snormEssSup g μ := by refine le_trans (essSup_mono_ae (eventually_of_forall fun x => ?_)) (ENNReal.essSup_add_le _ _) simp_rw [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe] exact nnnorm_add_le _ _ #align measure_theory.snorm_ess_sup_add_le MeasureTheory.snormEssSup_add_le theorem snorm_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hp1 : 1 ≤ p) : snorm (f + g) p μ ≤ snorm f p μ + snorm g p μ := by by_cases hp0 : p = 0 · simp [hp0] by_cases hp_top : p = ∞ · simp [hp_top, snormEssSup_add_le] have hp1_real : 1 ≤ p.toReal := by rwa [← ENNReal.one_toReal, ENNReal.toReal_le_toReal ENNReal.one_ne_top hp_top] repeat rw [snorm_eq_snorm' hp0 hp_top] exact snorm'_add_le hf hg hp1_real #align measure_theory.snorm_add_le MeasureTheory.snorm_add_le noncomputable def LpAddConst (p : ℝ≥0∞) : ℝ≥0∞ := if p ∈ Set.Ioo (0 : ℝ≥0∞) 1 then (2 : ℝ≥0∞) ^ (1 / p.toReal - 1) else 1 set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const MeasureTheory.LpAddConst
Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean
73
76
theorem LpAddConst_of_one_le {p : ℝ≥0∞} (hp : 1 ≤ p) : LpAddConst p = 1 := by
rw [LpAddConst, if_neg] intro h exact lt_irrefl _ (h.2.trans_le hp)
2,108
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E} theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1 #align measure_theory.snorm'_add_le MeasureTheory.snorm'_add_le theorem snorm'_add_le_of_le_one {f g : α → E} (hf : AEStronglyMeasurable f μ) (hq0 : 0 ≤ q) (hq1 : q ≤ 1) : snorm' (f + g) q μ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := ENNReal.lintegral_Lp_add_le_of_le_one hf.ennnorm hq0 hq1 #align measure_theory.snorm'_add_le_of_le_one MeasureTheory.snorm'_add_le_of_le_one theorem snormEssSup_add_le {f g : α → E} : snormEssSup (f + g) μ ≤ snormEssSup f μ + snormEssSup g μ := by refine le_trans (essSup_mono_ae (eventually_of_forall fun x => ?_)) (ENNReal.essSup_add_le _ _) simp_rw [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe] exact nnnorm_add_le _ _ #align measure_theory.snorm_ess_sup_add_le MeasureTheory.snormEssSup_add_le theorem snorm_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hp1 : 1 ≤ p) : snorm (f + g) p μ ≤ snorm f p μ + snorm g p μ := by by_cases hp0 : p = 0 · simp [hp0] by_cases hp_top : p = ∞ · simp [hp_top, snormEssSup_add_le] have hp1_real : 1 ≤ p.toReal := by rwa [← ENNReal.one_toReal, ENNReal.toReal_le_toReal ENNReal.one_ne_top hp_top] repeat rw [snorm_eq_snorm' hp0 hp_top] exact snorm'_add_le hf hg hp1_real #align measure_theory.snorm_add_le MeasureTheory.snorm_add_le noncomputable def LpAddConst (p : ℝ≥0∞) : ℝ≥0∞ := if p ∈ Set.Ioo (0 : ℝ≥0∞) 1 then (2 : ℝ≥0∞) ^ (1 / p.toReal - 1) else 1 set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const MeasureTheory.LpAddConst theorem LpAddConst_of_one_le {p : ℝ≥0∞} (hp : 1 ≤ p) : LpAddConst p = 1 := by rw [LpAddConst, if_neg] intro h exact lt_irrefl _ (h.2.trans_le hp) set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const_of_one_le MeasureTheory.LpAddConst_of_one_le
Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean
80
83
theorem LpAddConst_zero : LpAddConst 0 = 1 := by
rw [LpAddConst, if_neg] intro h exact lt_irrefl _ h.1
2,108
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E} theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1 #align measure_theory.snorm'_add_le MeasureTheory.snorm'_add_le theorem snorm'_add_le_of_le_one {f g : α → E} (hf : AEStronglyMeasurable f μ) (hq0 : 0 ≤ q) (hq1 : q ≤ 1) : snorm' (f + g) q μ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := ENNReal.lintegral_Lp_add_le_of_le_one hf.ennnorm hq0 hq1 #align measure_theory.snorm'_add_le_of_le_one MeasureTheory.snorm'_add_le_of_le_one theorem snormEssSup_add_le {f g : α → E} : snormEssSup (f + g) μ ≤ snormEssSup f μ + snormEssSup g μ := by refine le_trans (essSup_mono_ae (eventually_of_forall fun x => ?_)) (ENNReal.essSup_add_le _ _) simp_rw [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe] exact nnnorm_add_le _ _ #align measure_theory.snorm_ess_sup_add_le MeasureTheory.snormEssSup_add_le theorem snorm_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hp1 : 1 ≤ p) : snorm (f + g) p μ ≤ snorm f p μ + snorm g p μ := by by_cases hp0 : p = 0 · simp [hp0] by_cases hp_top : p = ∞ · simp [hp_top, snormEssSup_add_le] have hp1_real : 1 ≤ p.toReal := by rwa [← ENNReal.one_toReal, ENNReal.toReal_le_toReal ENNReal.one_ne_top hp_top] repeat rw [snorm_eq_snorm' hp0 hp_top] exact snorm'_add_le hf hg hp1_real #align measure_theory.snorm_add_le MeasureTheory.snorm_add_le noncomputable def LpAddConst (p : ℝ≥0∞) : ℝ≥0∞ := if p ∈ Set.Ioo (0 : ℝ≥0∞) 1 then (2 : ℝ≥0∞) ^ (1 / p.toReal - 1) else 1 set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const MeasureTheory.LpAddConst theorem LpAddConst_of_one_le {p : ℝ≥0∞} (hp : 1 ≤ p) : LpAddConst p = 1 := by rw [LpAddConst, if_neg] intro h exact lt_irrefl _ (h.2.trans_le hp) set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const_of_one_le MeasureTheory.LpAddConst_of_one_le theorem LpAddConst_zero : LpAddConst 0 = 1 := by rw [LpAddConst, if_neg] intro h exact lt_irrefl _ h.1 set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const_zero MeasureTheory.LpAddConst_zero
Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean
87
94
theorem LpAddConst_lt_top (p : ℝ≥0∞) : LpAddConst p < ∞ := by
rw [LpAddConst] split_ifs with h · apply ENNReal.rpow_lt_top_of_nonneg _ ENNReal.two_ne_top simp only [one_div, sub_nonneg] apply one_le_inv (ENNReal.toReal_pos h.1.ne' (h.2.trans ENNReal.one_lt_top).ne) simpa using ENNReal.toReal_mono ENNReal.one_ne_top h.2.le · exact ENNReal.one_lt_top
2,108
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {p : ℝ≥0∞} {q : ℝ} {μ : Measure α} {f g : α → E} theorem snorm'_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hq1 : 1 ≤ q) : snorm' (f + g) q μ ≤ snorm' f q μ + snorm' g q μ := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ snorm' f q μ + snorm' g q μ := ENNReal.lintegral_Lp_add_le hf.ennnorm hg.ennnorm hq1 #align measure_theory.snorm'_add_le MeasureTheory.snorm'_add_le theorem snorm'_add_le_of_le_one {f g : α → E} (hf : AEStronglyMeasurable f μ) (hq0 : 0 ≤ q) (hq1 : q ≤ 1) : snorm' (f + g) q μ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := calc (∫⁻ a, (‖(f + g) a‖₊ : ℝ≥0∞) ^ q ∂μ) ^ (1 / q) ≤ (∫⁻ a, ((fun a => (‖f a‖₊ : ℝ≥0∞)) + fun a => (‖g a‖₊ : ℝ≥0∞)) a ^ q ∂μ) ^ (1 / q) := by gcongr with a simp only [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe, nnnorm_add_le] _ ≤ (2 : ℝ≥0∞) ^ (1 / q - 1) * (snorm' f q μ + snorm' g q μ) := ENNReal.lintegral_Lp_add_le_of_le_one hf.ennnorm hq0 hq1 #align measure_theory.snorm'_add_le_of_le_one MeasureTheory.snorm'_add_le_of_le_one theorem snormEssSup_add_le {f g : α → E} : snormEssSup (f + g) μ ≤ snormEssSup f μ + snormEssSup g μ := by refine le_trans (essSup_mono_ae (eventually_of_forall fun x => ?_)) (ENNReal.essSup_add_le _ _) simp_rw [Pi.add_apply, ← ENNReal.coe_add, ENNReal.coe_le_coe] exact nnnorm_add_le _ _ #align measure_theory.snorm_ess_sup_add_le MeasureTheory.snormEssSup_add_le theorem snorm_add_le {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (hp1 : 1 ≤ p) : snorm (f + g) p μ ≤ snorm f p μ + snorm g p μ := by by_cases hp0 : p = 0 · simp [hp0] by_cases hp_top : p = ∞ · simp [hp_top, snormEssSup_add_le] have hp1_real : 1 ≤ p.toReal := by rwa [← ENNReal.one_toReal, ENNReal.toReal_le_toReal ENNReal.one_ne_top hp_top] repeat rw [snorm_eq_snorm' hp0 hp_top] exact snorm'_add_le hf hg hp1_real #align measure_theory.snorm_add_le MeasureTheory.snorm_add_le noncomputable def LpAddConst (p : ℝ≥0∞) : ℝ≥0∞ := if p ∈ Set.Ioo (0 : ℝ≥0∞) 1 then (2 : ℝ≥0∞) ^ (1 / p.toReal - 1) else 1 set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const MeasureTheory.LpAddConst theorem LpAddConst_of_one_le {p : ℝ≥0∞} (hp : 1 ≤ p) : LpAddConst p = 1 := by rw [LpAddConst, if_neg] intro h exact lt_irrefl _ (h.2.trans_le hp) set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const_of_one_le MeasureTheory.LpAddConst_of_one_le theorem LpAddConst_zero : LpAddConst 0 = 1 := by rw [LpAddConst, if_neg] intro h exact lt_irrefl _ h.1 set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const_zero MeasureTheory.LpAddConst_zero theorem LpAddConst_lt_top (p : ℝ≥0∞) : LpAddConst p < ∞ := by rw [LpAddConst] split_ifs with h · apply ENNReal.rpow_lt_top_of_nonneg _ ENNReal.two_ne_top simp only [one_div, sub_nonneg] apply one_le_inv (ENNReal.toReal_pos h.1.ne' (h.2.trans ENNReal.one_lt_top).ne) simpa using ENNReal.toReal_mono ENNReal.one_ne_top h.2.le · exact ENNReal.one_lt_top set_option linter.uppercaseLean3 false in #align measure_theory.Lp_add_const_lt_top MeasureTheory.LpAddConst_lt_top
Mathlib/MeasureTheory/Function/LpSeminorm/TriangleInequality.lean
98
109
theorem snorm_add_le' {f g : α → E} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (p : ℝ≥0∞) : snorm (f + g) p μ ≤ LpAddConst p * (snorm f p μ + snorm g p μ) := by
rcases eq_or_ne p 0 with (rfl | hp) · simp only [snorm_exponent_zero, add_zero, mul_zero, le_zero_iff] rcases lt_or_le p 1 with (h'p | h'p) · simp only [snorm_eq_snorm' hp (h'p.trans ENNReal.one_lt_top).ne] convert snorm'_add_le_of_le_one hf ENNReal.toReal_nonneg _ · have : p ∈ Set.Ioo (0 : ℝ≥0∞) 1 := ⟨hp.bot_lt, h'p⟩ simp only [LpAddConst, if_pos this] · simpa using ENNReal.toReal_mono ENNReal.one_ne_top h'p.le · simp [LpAddConst_of_one_le h'p] exact snorm_add_le hf hg h'p
2,108
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory section SameSpace variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {μ : Measure α} {f : α → E}
Mathlib/MeasureTheory/Function/LpSeminorm/CompareExp.lean
26
45
theorem snorm'_le_snorm'_mul_rpow_measure_univ {p q : ℝ} (hp0_lt : 0 < p) (hpq : p ≤ q) (hf : AEStronglyMeasurable f μ) : snorm' f p μ ≤ snorm' f q μ * μ Set.univ ^ (1 / p - 1 / q) := by
have hq0_lt : 0 < q := lt_of_lt_of_le hp0_lt hpq by_cases hpq_eq : p = q · rw [hpq_eq, sub_self, ENNReal.rpow_zero, mul_one] have hpq : p < q := lt_of_le_of_ne hpq hpq_eq let g := fun _ : α => (1 : ℝ≥0∞) have h_rw : (∫⁻ a, (‖f a‖₊ : ℝ≥0∞) ^ p ∂μ) = ∫⁻ a, ((‖f a‖₊ : ℝ≥0∞) * g a) ^ p ∂μ := lintegral_congr fun a => by simp [g] repeat' rw [snorm'] rw [h_rw] let r := p * q / (q - p) have hpqr : 1 / p = 1 / q + 1 / r := by field_simp [r, hp0_lt.ne', hq0_lt.ne'] calc (∫⁻ a : α, (↑‖f a‖₊ * g a) ^ p ∂μ) ^ (1 / p) ≤ (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * (∫⁻ a : α, g a ^ r ∂μ) ^ (1 / r) := ENNReal.lintegral_Lp_mul_le_Lq_mul_Lr hp0_lt hpq hpqr μ hf.ennnorm aemeasurable_const _ = (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * μ Set.univ ^ (1 / p - 1 / q) := by rw [hpqr]; simp [r, g]
2,109
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory section SameSpace variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {μ : Measure α} {f : α → E} theorem snorm'_le_snorm'_mul_rpow_measure_univ {p q : ℝ} (hp0_lt : 0 < p) (hpq : p ≤ q) (hf : AEStronglyMeasurable f μ) : snorm' f p μ ≤ snorm' f q μ * μ Set.univ ^ (1 / p - 1 / q) := by have hq0_lt : 0 < q := lt_of_lt_of_le hp0_lt hpq by_cases hpq_eq : p = q · rw [hpq_eq, sub_self, ENNReal.rpow_zero, mul_one] have hpq : p < q := lt_of_le_of_ne hpq hpq_eq let g := fun _ : α => (1 : ℝ≥0∞) have h_rw : (∫⁻ a, (‖f a‖₊ : ℝ≥0∞) ^ p ∂μ) = ∫⁻ a, ((‖f a‖₊ : ℝ≥0∞) * g a) ^ p ∂μ := lintegral_congr fun a => by simp [g] repeat' rw [snorm'] rw [h_rw] let r := p * q / (q - p) have hpqr : 1 / p = 1 / q + 1 / r := by field_simp [r, hp0_lt.ne', hq0_lt.ne'] calc (∫⁻ a : α, (↑‖f a‖₊ * g a) ^ p ∂μ) ^ (1 / p) ≤ (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * (∫⁻ a : α, g a ^ r ∂μ) ^ (1 / r) := ENNReal.lintegral_Lp_mul_le_Lq_mul_Lr hp0_lt hpq hpqr μ hf.ennnorm aemeasurable_const _ = (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * μ Set.univ ^ (1 / p - 1 / q) := by rw [hpqr]; simp [r, g] #align measure_theory.snorm'_le_snorm'_mul_rpow_measure_univ MeasureTheory.snorm'_le_snorm'_mul_rpow_measure_univ
Mathlib/MeasureTheory/Function/LpSeminorm/CompareExp.lean
48
58
theorem snorm'_le_snormEssSup_mul_rpow_measure_univ {q : ℝ} (hq_pos : 0 < q) : snorm' f q μ ≤ snormEssSup f μ * μ Set.univ ^ (1 / q) := by
have h_le : (∫⁻ a : α, (‖f a‖₊ : ℝ≥0∞) ^ q ∂μ) ≤ ∫⁻ _ : α, snormEssSup f μ ^ q ∂μ := by refine lintegral_mono_ae ?_ have h_nnnorm_le_snorm_ess_sup := coe_nnnorm_ae_le_snormEssSup f μ exact h_nnnorm_le_snorm_ess_sup.mono fun x hx => by gcongr rw [snorm', ← ENNReal.rpow_one (snormEssSup f μ)] nth_rw 2 [← mul_inv_cancel (ne_of_lt hq_pos).symm] rw [ENNReal.rpow_mul, one_div, ← ENNReal.mul_rpow_of_nonneg _ _ (by simp [hq_pos.le] : 0 ≤ q⁻¹)] gcongr rwa [lintegral_const] at h_le
2,109
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory section SameSpace variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {μ : Measure α} {f : α → E} theorem snorm'_le_snorm'_mul_rpow_measure_univ {p q : ℝ} (hp0_lt : 0 < p) (hpq : p ≤ q) (hf : AEStronglyMeasurable f μ) : snorm' f p μ ≤ snorm' f q μ * μ Set.univ ^ (1 / p - 1 / q) := by have hq0_lt : 0 < q := lt_of_lt_of_le hp0_lt hpq by_cases hpq_eq : p = q · rw [hpq_eq, sub_self, ENNReal.rpow_zero, mul_one] have hpq : p < q := lt_of_le_of_ne hpq hpq_eq let g := fun _ : α => (1 : ℝ≥0∞) have h_rw : (∫⁻ a, (‖f a‖₊ : ℝ≥0∞) ^ p ∂μ) = ∫⁻ a, ((‖f a‖₊ : ℝ≥0∞) * g a) ^ p ∂μ := lintegral_congr fun a => by simp [g] repeat' rw [snorm'] rw [h_rw] let r := p * q / (q - p) have hpqr : 1 / p = 1 / q + 1 / r := by field_simp [r, hp0_lt.ne', hq0_lt.ne'] calc (∫⁻ a : α, (↑‖f a‖₊ * g a) ^ p ∂μ) ^ (1 / p) ≤ (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * (∫⁻ a : α, g a ^ r ∂μ) ^ (1 / r) := ENNReal.lintegral_Lp_mul_le_Lq_mul_Lr hp0_lt hpq hpqr μ hf.ennnorm aemeasurable_const _ = (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * μ Set.univ ^ (1 / p - 1 / q) := by rw [hpqr]; simp [r, g] #align measure_theory.snorm'_le_snorm'_mul_rpow_measure_univ MeasureTheory.snorm'_le_snorm'_mul_rpow_measure_univ theorem snorm'_le_snormEssSup_mul_rpow_measure_univ {q : ℝ} (hq_pos : 0 < q) : snorm' f q μ ≤ snormEssSup f μ * μ Set.univ ^ (1 / q) := by have h_le : (∫⁻ a : α, (‖f a‖₊ : ℝ≥0∞) ^ q ∂μ) ≤ ∫⁻ _ : α, snormEssSup f μ ^ q ∂μ := by refine lintegral_mono_ae ?_ have h_nnnorm_le_snorm_ess_sup := coe_nnnorm_ae_le_snormEssSup f μ exact h_nnnorm_le_snorm_ess_sup.mono fun x hx => by gcongr rw [snorm', ← ENNReal.rpow_one (snormEssSup f μ)] nth_rw 2 [← mul_inv_cancel (ne_of_lt hq_pos).symm] rw [ENNReal.rpow_mul, one_div, ← ENNReal.mul_rpow_of_nonneg _ _ (by simp [hq_pos.le] : 0 ≤ q⁻¹)] gcongr rwa [lintegral_const] at h_le #align measure_theory.snorm'_le_snorm_ess_sup_mul_rpow_measure_univ MeasureTheory.snorm'_le_snormEssSup_mul_rpow_measure_univ
Mathlib/MeasureTheory/Function/LpSeminorm/CompareExp.lean
61
85
theorem snorm_le_snorm_mul_rpow_measure_univ {p q : ℝ≥0∞} (hpq : p ≤ q) (hf : AEStronglyMeasurable f μ) : snorm f p μ ≤ snorm f q μ * μ Set.univ ^ (1 / p.toReal - 1 / q.toReal) := by
by_cases hp0 : p = 0 · simp [hp0, zero_le] rw [← Ne] at hp0 have hp0_lt : 0 < p := lt_of_le_of_ne (zero_le _) hp0.symm have hq0_lt : 0 < q := lt_of_lt_of_le hp0_lt hpq by_cases hq_top : q = ∞ · simp only [hq_top, _root_.div_zero, one_div, ENNReal.top_toReal, sub_zero, snorm_exponent_top, GroupWithZero.inv_zero] by_cases hp_top : p = ∞ · simp only [hp_top, ENNReal.rpow_zero, mul_one, ENNReal.top_toReal, sub_zero, GroupWithZero.inv_zero, snorm_exponent_top] exact le_rfl rw [snorm_eq_snorm' hp0 hp_top] have hp_pos : 0 < p.toReal := ENNReal.toReal_pos hp0_lt.ne' hp_top refine (snorm'_le_snormEssSup_mul_rpow_measure_univ hp_pos).trans (le_of_eq ?_) congr exact one_div _ have hp_lt_top : p < ∞ := hpq.trans_lt (lt_top_iff_ne_top.mpr hq_top) have hp_pos : 0 < p.toReal := ENNReal.toReal_pos hp0_lt.ne' hp_lt_top.ne rw [snorm_eq_snorm' hp0_lt.ne.symm hp_lt_top.ne, snorm_eq_snorm' hq0_lt.ne.symm hq_top] have hpq_real : p.toReal ≤ q.toReal := by rwa [ENNReal.toReal_le_toReal hp_lt_top.ne hq_top] exact snorm'_le_snorm'_mul_rpow_measure_univ hp_pos hpq_real hf
2,109
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory section SameSpace variable {α E : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] {μ : Measure α} {f : α → E} theorem snorm'_le_snorm'_mul_rpow_measure_univ {p q : ℝ} (hp0_lt : 0 < p) (hpq : p ≤ q) (hf : AEStronglyMeasurable f μ) : snorm' f p μ ≤ snorm' f q μ * μ Set.univ ^ (1 / p - 1 / q) := by have hq0_lt : 0 < q := lt_of_lt_of_le hp0_lt hpq by_cases hpq_eq : p = q · rw [hpq_eq, sub_self, ENNReal.rpow_zero, mul_one] have hpq : p < q := lt_of_le_of_ne hpq hpq_eq let g := fun _ : α => (1 : ℝ≥0∞) have h_rw : (∫⁻ a, (‖f a‖₊ : ℝ≥0∞) ^ p ∂μ) = ∫⁻ a, ((‖f a‖₊ : ℝ≥0∞) * g a) ^ p ∂μ := lintegral_congr fun a => by simp [g] repeat' rw [snorm'] rw [h_rw] let r := p * q / (q - p) have hpqr : 1 / p = 1 / q + 1 / r := by field_simp [r, hp0_lt.ne', hq0_lt.ne'] calc (∫⁻ a : α, (↑‖f a‖₊ * g a) ^ p ∂μ) ^ (1 / p) ≤ (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * (∫⁻ a : α, g a ^ r ∂μ) ^ (1 / r) := ENNReal.lintegral_Lp_mul_le_Lq_mul_Lr hp0_lt hpq hpqr μ hf.ennnorm aemeasurable_const _ = (∫⁻ a : α, ↑‖f a‖₊ ^ q ∂μ) ^ (1 / q) * μ Set.univ ^ (1 / p - 1 / q) := by rw [hpqr]; simp [r, g] #align measure_theory.snorm'_le_snorm'_mul_rpow_measure_univ MeasureTheory.snorm'_le_snorm'_mul_rpow_measure_univ theorem snorm'_le_snormEssSup_mul_rpow_measure_univ {q : ℝ} (hq_pos : 0 < q) : snorm' f q μ ≤ snormEssSup f μ * μ Set.univ ^ (1 / q) := by have h_le : (∫⁻ a : α, (‖f a‖₊ : ℝ≥0∞) ^ q ∂μ) ≤ ∫⁻ _ : α, snormEssSup f μ ^ q ∂μ := by refine lintegral_mono_ae ?_ have h_nnnorm_le_snorm_ess_sup := coe_nnnorm_ae_le_snormEssSup f μ exact h_nnnorm_le_snorm_ess_sup.mono fun x hx => by gcongr rw [snorm', ← ENNReal.rpow_one (snormEssSup f μ)] nth_rw 2 [← mul_inv_cancel (ne_of_lt hq_pos).symm] rw [ENNReal.rpow_mul, one_div, ← ENNReal.mul_rpow_of_nonneg _ _ (by simp [hq_pos.le] : 0 ≤ q⁻¹)] gcongr rwa [lintegral_const] at h_le #align measure_theory.snorm'_le_snorm_ess_sup_mul_rpow_measure_univ MeasureTheory.snorm'_le_snormEssSup_mul_rpow_measure_univ theorem snorm_le_snorm_mul_rpow_measure_univ {p q : ℝ≥0∞} (hpq : p ≤ q) (hf : AEStronglyMeasurable f μ) : snorm f p μ ≤ snorm f q μ * μ Set.univ ^ (1 / p.toReal - 1 / q.toReal) := by by_cases hp0 : p = 0 · simp [hp0, zero_le] rw [← Ne] at hp0 have hp0_lt : 0 < p := lt_of_le_of_ne (zero_le _) hp0.symm have hq0_lt : 0 < q := lt_of_lt_of_le hp0_lt hpq by_cases hq_top : q = ∞ · simp only [hq_top, _root_.div_zero, one_div, ENNReal.top_toReal, sub_zero, snorm_exponent_top, GroupWithZero.inv_zero] by_cases hp_top : p = ∞ · simp only [hp_top, ENNReal.rpow_zero, mul_one, ENNReal.top_toReal, sub_zero, GroupWithZero.inv_zero, snorm_exponent_top] exact le_rfl rw [snorm_eq_snorm' hp0 hp_top] have hp_pos : 0 < p.toReal := ENNReal.toReal_pos hp0_lt.ne' hp_top refine (snorm'_le_snormEssSup_mul_rpow_measure_univ hp_pos).trans (le_of_eq ?_) congr exact one_div _ have hp_lt_top : p < ∞ := hpq.trans_lt (lt_top_iff_ne_top.mpr hq_top) have hp_pos : 0 < p.toReal := ENNReal.toReal_pos hp0_lt.ne' hp_lt_top.ne rw [snorm_eq_snorm' hp0_lt.ne.symm hp_lt_top.ne, snorm_eq_snorm' hq0_lt.ne.symm hq_top] have hpq_real : p.toReal ≤ q.toReal := by rwa [ENNReal.toReal_le_toReal hp_lt_top.ne hq_top] exact snorm'_le_snorm'_mul_rpow_measure_univ hp_pos hpq_real hf #align measure_theory.snorm_le_snorm_mul_rpow_measure_univ MeasureTheory.snorm_le_snorm_mul_rpow_measure_univ
Mathlib/MeasureTheory/Function/LpSeminorm/CompareExp.lean
88
92
theorem snorm'_le_snorm'_of_exponent_le {p q : ℝ} (hp0_lt : 0 < p) (hpq : p ≤ q) (μ : Measure α) [IsProbabilityMeasure μ] (hf : AEStronglyMeasurable f μ) : snorm' f p μ ≤ snorm' f q μ := by
have h_le_μ := snorm'_le_snorm'_mul_rpow_measure_univ hp0_lt hpq hf rwa [measure_univ, ENNReal.one_rpow, mul_one] at h_le_μ
2,109
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory section Bilinear variable {α E F G : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] {μ : Measure α} {f : α → E} {g : α → F}
Mathlib/MeasureTheory/Function/LpSeminorm/CompareExp.lean
158
196
theorem snorm_le_snorm_top_mul_snorm (p : ℝ≥0∞) (f : α → E) {g : α → F} (hg : AEStronglyMeasurable g μ) (b : E → F → G) (h : ∀ᵐ x ∂μ, ‖b (f x) (g x)‖₊ ≤ ‖f x‖₊ * ‖g x‖₊) : snorm (fun x => b (f x) (g x)) p μ ≤ snorm f ∞ μ * snorm g p μ := by
by_cases hp_top : p = ∞ · simp_rw [hp_top, snorm_exponent_top] refine le_trans (essSup_mono_ae <| h.mono fun a ha => ?_) (ENNReal.essSup_mul_le _ _) simp_rw [Pi.mul_apply, ← ENNReal.coe_mul, ENNReal.coe_le_coe] exact ha by_cases hp_zero : p = 0 · simp only [hp_zero, snorm_exponent_zero, mul_zero, le_zero_iff] simp_rw [snorm_eq_lintegral_rpow_nnnorm hp_zero hp_top, snorm_exponent_top, snormEssSup] calc (∫⁻ x, (‖b (f x) (g x)‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) ≤ (∫⁻ x, (‖f x‖₊ : ℝ≥0∞) ^ p.toReal * (‖g x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) := by gcongr ?_ ^ _ refine lintegral_mono_ae (h.mono fun a ha => ?_) rw [← ENNReal.mul_rpow_of_nonneg _ _ ENNReal.toReal_nonneg] refine ENNReal.rpow_le_rpow ?_ ENNReal.toReal_nonneg rw [← ENNReal.coe_mul, ENNReal.coe_le_coe] exact ha _ ≤ (∫⁻ x, essSup (fun x => (‖f x‖₊ : ℝ≥0∞)) μ ^ p.toReal * (‖g x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) := by gcongr ?_ ^ _ refine lintegral_mono_ae ?_ filter_upwards [@ENNReal.ae_le_essSup _ _ μ fun x => (‖f x‖₊ : ℝ≥0∞)] with x hx gcongr _ = essSup (fun x => (‖f x‖₊ : ℝ≥0∞)) μ * (∫⁻ x, (‖g x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) := by rw [lintegral_const_mul''] swap; · exact hg.nnnorm.aemeasurable.coe_nnreal_ennreal.pow aemeasurable_const rw [ENNReal.mul_rpow_of_nonneg] swap; · rw [one_div_nonneg] exact ENNReal.toReal_nonneg rw [← ENNReal.rpow_mul, one_div, mul_inv_cancel, ENNReal.rpow_one] rw [Ne, ENNReal.toReal_eq_zero_iff, not_or] exact ⟨hp_zero, hp_top⟩
2,109
import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.MeanInequalities #align_import measure_theory.function.lp_seminorm from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" open Filter open scoped ENNReal Topology namespace MeasureTheory section Bilinear variable {α E F G : Type*} {m : MeasurableSpace α} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] {μ : Measure α} {f : α → E} {g : α → F} theorem snorm_le_snorm_top_mul_snorm (p : ℝ≥0∞) (f : α → E) {g : α → F} (hg : AEStronglyMeasurable g μ) (b : E → F → G) (h : ∀ᵐ x ∂μ, ‖b (f x) (g x)‖₊ ≤ ‖f x‖₊ * ‖g x‖₊) : snorm (fun x => b (f x) (g x)) p μ ≤ snorm f ∞ μ * snorm g p μ := by by_cases hp_top : p = ∞ · simp_rw [hp_top, snorm_exponent_top] refine le_trans (essSup_mono_ae <| h.mono fun a ha => ?_) (ENNReal.essSup_mul_le _ _) simp_rw [Pi.mul_apply, ← ENNReal.coe_mul, ENNReal.coe_le_coe] exact ha by_cases hp_zero : p = 0 · simp only [hp_zero, snorm_exponent_zero, mul_zero, le_zero_iff] simp_rw [snorm_eq_lintegral_rpow_nnnorm hp_zero hp_top, snorm_exponent_top, snormEssSup] calc (∫⁻ x, (‖b (f x) (g x)‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) ≤ (∫⁻ x, (‖f x‖₊ : ℝ≥0∞) ^ p.toReal * (‖g x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) := by gcongr ?_ ^ _ refine lintegral_mono_ae (h.mono fun a ha => ?_) rw [← ENNReal.mul_rpow_of_nonneg _ _ ENNReal.toReal_nonneg] refine ENNReal.rpow_le_rpow ?_ ENNReal.toReal_nonneg rw [← ENNReal.coe_mul, ENNReal.coe_le_coe] exact ha _ ≤ (∫⁻ x, essSup (fun x => (‖f x‖₊ : ℝ≥0∞)) μ ^ p.toReal * (‖g x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) := by gcongr ?_ ^ _ refine lintegral_mono_ae ?_ filter_upwards [@ENNReal.ae_le_essSup _ _ μ fun x => (‖f x‖₊ : ℝ≥0∞)] with x hx gcongr _ = essSup (fun x => (‖f x‖₊ : ℝ≥0∞)) μ * (∫⁻ x, (‖g x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ^ (1 / p.toReal) := by rw [lintegral_const_mul''] swap; · exact hg.nnnorm.aemeasurable.coe_nnreal_ennreal.pow aemeasurable_const rw [ENNReal.mul_rpow_of_nonneg] swap; · rw [one_div_nonneg] exact ENNReal.toReal_nonneg rw [← ENNReal.rpow_mul, one_div, mul_inv_cancel, ENNReal.rpow_one] rw [Ne, ENNReal.toReal_eq_zero_iff, not_or] exact ⟨hp_zero, hp_top⟩ #align measure_theory.snorm_le_snorm_top_mul_snorm MeasureTheory.snorm_le_snorm_top_mul_snorm theorem snorm_le_snorm_mul_snorm_top (p : ℝ≥0∞) {f : α → E} (hf : AEStronglyMeasurable f μ) (g : α → F) (b : E → F → G) (h : ∀ᵐ x ∂μ, ‖b (f x) (g x)‖₊ ≤ ‖f x‖₊ * ‖g x‖₊) : snorm (fun x => b (f x) (g x)) p μ ≤ snorm f p μ * snorm g ∞ μ := calc snorm (fun x ↦ b (f x) (g x)) p μ ≤ snorm g ∞ μ * snorm f p μ := snorm_le_snorm_top_mul_snorm p g hf (flip b) <| by simpa only [mul_comm] using h _ = snorm f p μ * snorm g ∞ μ := mul_comm _ _ #align measure_theory.snorm_le_snorm_mul_snorm_top MeasureTheory.snorm_le_snorm_mul_snorm_top
Mathlib/MeasureTheory/Function/LpSeminorm/CompareExp.lean
208
222
theorem snorm'_le_snorm'_mul_snorm' {p q r : ℝ} (hf : AEStronglyMeasurable f μ) (hg : AEStronglyMeasurable g μ) (b : E → F → G) (h : ∀ᵐ x ∂μ, ‖b (f x) (g x)‖₊ ≤ ‖f x‖₊ * ‖g x‖₊) (hp0_lt : 0 < p) (hpq : p < q) (hpqr : 1 / p = 1 / q + 1 / r) : snorm' (fun x => b (f x) (g x)) p μ ≤ snorm' f q μ * snorm' g r μ := by
rw [snorm'] calc (∫⁻ a : α, ↑‖b (f a) (g a)‖₊ ^ p ∂μ) ^ (1 / p) ≤ (∫⁻ a : α, ↑(‖f a‖₊ * ‖g a‖₊) ^ p ∂μ) ^ (1 / p) := (ENNReal.rpow_le_rpow_iff <| one_div_pos.mpr hp0_lt).mpr <| lintegral_mono_ae <| h.mono fun a ha => (ENNReal.rpow_le_rpow_iff hp0_lt).mpr <| ENNReal.coe_le_coe.mpr <| ha _ ≤ _ := ?_ simp_rw [snorm', ENNReal.coe_mul] exact ENNReal.lintegral_Lp_mul_le_Lq_mul_Lr hp0_lt hpq hpqr μ hf.ennnorm hg.ennnorm
2,109
import Mathlib.Analysis.Normed.Group.Hom import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.MeasureTheory.Function.LpSeminorm.ChebyshevMarkov import Mathlib.MeasureTheory.Function.LpSeminorm.CompareExp import Mathlib.MeasureTheory.Function.LpSeminorm.TriangleInequality import Mathlib.MeasureTheory.Measure.OpenPos import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Order.Filter.IndicatorFunction #align_import measure_theory.function.lp_space from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" noncomputable section set_option linter.uppercaseLean3 false open TopologicalSpace MeasureTheory Filter open scoped NNReal ENNReal Topology MeasureTheory Uniformity variable {α E F G : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ ν : Measure α} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] namespace MeasureTheory @[simp] theorem snorm_aeeqFun {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hf : AEStronglyMeasurable f μ) : snorm (AEEqFun.mk f hf) p μ = snorm f p μ := snorm_congr_ae (AEEqFun.coeFn_mk _ _) #align measure_theory.snorm_ae_eq_fun MeasureTheory.snorm_aeeqFun
Mathlib/MeasureTheory/Function/LpSpace.lean
95
97
theorem Memℒp.snorm_mk_lt_top {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hfp : Memℒp f p μ) : snorm (AEEqFun.mk f hfp.1) p μ < ∞ := by
simp [hfp.2]
2,110
import Mathlib.Analysis.Normed.Group.Hom import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.MeasureTheory.Function.LpSeminorm.ChebyshevMarkov import Mathlib.MeasureTheory.Function.LpSeminorm.CompareExp import Mathlib.MeasureTheory.Function.LpSeminorm.TriangleInequality import Mathlib.MeasureTheory.Measure.OpenPos import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Order.Filter.IndicatorFunction #align_import measure_theory.function.lp_space from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" noncomputable section set_option linter.uppercaseLean3 false open TopologicalSpace MeasureTheory Filter open scoped NNReal ENNReal Topology MeasureTheory Uniformity variable {α E F G : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ ν : Measure α} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] namespace MeasureTheory @[simp] theorem snorm_aeeqFun {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hf : AEStronglyMeasurable f μ) : snorm (AEEqFun.mk f hf) p μ = snorm f p μ := snorm_congr_ae (AEEqFun.coeFn_mk _ _) #align measure_theory.snorm_ae_eq_fun MeasureTheory.snorm_aeeqFun theorem Memℒp.snorm_mk_lt_top {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hfp : Memℒp f p μ) : snorm (AEEqFun.mk f hfp.1) p μ < ∞ := by simp [hfp.2] #align measure_theory.mem_ℒp.snorm_mk_lt_top MeasureTheory.Memℒp.snorm_mk_lt_top def Lp {α} (E : Type*) {m : MeasurableSpace α} [NormedAddCommGroup E] (p : ℝ≥0∞) (μ : Measure α := by volume_tac) : AddSubgroup (α →ₘ[μ] E) where carrier := { f | snorm f p μ < ∞ } zero_mem' := by simp [snorm_congr_ae AEEqFun.coeFn_zero, snorm_zero] add_mem' {f g} hf hg := by simp [snorm_congr_ae (AEEqFun.coeFn_add f g), snorm_add_lt_top ⟨f.aestronglyMeasurable, hf⟩ ⟨g.aestronglyMeasurable, hg⟩] neg_mem' {f} hf := by rwa [Set.mem_setOf_eq, snorm_congr_ae (AEEqFun.coeFn_neg f), snorm_neg] #align measure_theory.Lp MeasureTheory.Lp -- Porting note: calling the first argument `α` breaks the `(α := ·)` notation scoped notation:25 α' " →₁[" μ "] " E => MeasureTheory.Lp (α := α') E 1 μ scoped notation:25 α' " →₂[" μ "] " E => MeasureTheory.Lp (α := α') E 2 μ namespace Memℒp def toLp (f : α → E) (h_mem_ℒp : Memℒp f p μ) : Lp E p μ := ⟨AEEqFun.mk f h_mem_ℒp.1, h_mem_ℒp.snorm_mk_lt_top⟩ #align measure_theory.mem_ℒp.to_Lp MeasureTheory.Memℒp.toLp theorem coeFn_toLp {f : α → E} (hf : Memℒp f p μ) : hf.toLp f =ᵐ[μ] f := AEEqFun.coeFn_mk _ _ #align measure_theory.mem_ℒp.coe_fn_to_Lp MeasureTheory.Memℒp.coeFn_toLp
Mathlib/MeasureTheory/Function/LpSpace.lean
126
127
theorem toLp_congr {f g : α → E} (hf : Memℒp f p μ) (hg : Memℒp g p μ) (hfg : f =ᵐ[μ] g) : hf.toLp f = hg.toLp g := by
simp [toLp, hfg]
2,110
import Mathlib.Analysis.Normed.Group.Hom import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.MeasureTheory.Function.LpSeminorm.ChebyshevMarkov import Mathlib.MeasureTheory.Function.LpSeminorm.CompareExp import Mathlib.MeasureTheory.Function.LpSeminorm.TriangleInequality import Mathlib.MeasureTheory.Measure.OpenPos import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Order.Filter.IndicatorFunction #align_import measure_theory.function.lp_space from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" noncomputable section set_option linter.uppercaseLean3 false open TopologicalSpace MeasureTheory Filter open scoped NNReal ENNReal Topology MeasureTheory Uniformity variable {α E F G : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ ν : Measure α} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] namespace MeasureTheory @[simp] theorem snorm_aeeqFun {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hf : AEStronglyMeasurable f μ) : snorm (AEEqFun.mk f hf) p μ = snorm f p μ := snorm_congr_ae (AEEqFun.coeFn_mk _ _) #align measure_theory.snorm_ae_eq_fun MeasureTheory.snorm_aeeqFun theorem Memℒp.snorm_mk_lt_top {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hfp : Memℒp f p μ) : snorm (AEEqFun.mk f hfp.1) p μ < ∞ := by simp [hfp.2] #align measure_theory.mem_ℒp.snorm_mk_lt_top MeasureTheory.Memℒp.snorm_mk_lt_top def Lp {α} (E : Type*) {m : MeasurableSpace α} [NormedAddCommGroup E] (p : ℝ≥0∞) (μ : Measure α := by volume_tac) : AddSubgroup (α →ₘ[μ] E) where carrier := { f | snorm f p μ < ∞ } zero_mem' := by simp [snorm_congr_ae AEEqFun.coeFn_zero, snorm_zero] add_mem' {f g} hf hg := by simp [snorm_congr_ae (AEEqFun.coeFn_add f g), snorm_add_lt_top ⟨f.aestronglyMeasurable, hf⟩ ⟨g.aestronglyMeasurable, hg⟩] neg_mem' {f} hf := by rwa [Set.mem_setOf_eq, snorm_congr_ae (AEEqFun.coeFn_neg f), snorm_neg] #align measure_theory.Lp MeasureTheory.Lp -- Porting note: calling the first argument `α` breaks the `(α := ·)` notation scoped notation:25 α' " →₁[" μ "] " E => MeasureTheory.Lp (α := α') E 1 μ scoped notation:25 α' " →₂[" μ "] " E => MeasureTheory.Lp (α := α') E 2 μ namespace Memℒp def toLp (f : α → E) (h_mem_ℒp : Memℒp f p μ) : Lp E p μ := ⟨AEEqFun.mk f h_mem_ℒp.1, h_mem_ℒp.snorm_mk_lt_top⟩ #align measure_theory.mem_ℒp.to_Lp MeasureTheory.Memℒp.toLp theorem coeFn_toLp {f : α → E} (hf : Memℒp f p μ) : hf.toLp f =ᵐ[μ] f := AEEqFun.coeFn_mk _ _ #align measure_theory.mem_ℒp.coe_fn_to_Lp MeasureTheory.Memℒp.coeFn_toLp theorem toLp_congr {f g : α → E} (hf : Memℒp f p μ) (hg : Memℒp g p μ) (hfg : f =ᵐ[μ] g) : hf.toLp f = hg.toLp g := by simp [toLp, hfg] #align measure_theory.mem_ℒp.to_Lp_congr MeasureTheory.Memℒp.toLp_congr @[simp]
Mathlib/MeasureTheory/Function/LpSpace.lean
131
132
theorem toLp_eq_toLp_iff {f g : α → E} (hf : Memℒp f p μ) (hg : Memℒp g p μ) : hf.toLp f = hg.toLp g ↔ f =ᵐ[μ] g := by
simp [toLp]
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import Mathlib.Analysis.Normed.Group.Hom import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.MeasureTheory.Function.LpSeminorm.ChebyshevMarkov import Mathlib.MeasureTheory.Function.LpSeminorm.CompareExp import Mathlib.MeasureTheory.Function.LpSeminorm.TriangleInequality import Mathlib.MeasureTheory.Measure.OpenPos import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Order.Filter.IndicatorFunction #align_import measure_theory.function.lp_space from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" noncomputable section set_option linter.uppercaseLean3 false open TopologicalSpace MeasureTheory Filter open scoped NNReal ENNReal Topology MeasureTheory Uniformity variable {α E F G : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ ν : Measure α} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] namespace MeasureTheory @[simp] theorem snorm_aeeqFun {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hf : AEStronglyMeasurable f μ) : snorm (AEEqFun.mk f hf) p μ = snorm f p μ := snorm_congr_ae (AEEqFun.coeFn_mk _ _) #align measure_theory.snorm_ae_eq_fun MeasureTheory.snorm_aeeqFun theorem Memℒp.snorm_mk_lt_top {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hfp : Memℒp f p μ) : snorm (AEEqFun.mk f hfp.1) p μ < ∞ := by simp [hfp.2] #align measure_theory.mem_ℒp.snorm_mk_lt_top MeasureTheory.Memℒp.snorm_mk_lt_top def Lp {α} (E : Type*) {m : MeasurableSpace α} [NormedAddCommGroup E] (p : ℝ≥0∞) (μ : Measure α := by volume_tac) : AddSubgroup (α →ₘ[μ] E) where carrier := { f | snorm f p μ < ∞ } zero_mem' := by simp [snorm_congr_ae AEEqFun.coeFn_zero, snorm_zero] add_mem' {f g} hf hg := by simp [snorm_congr_ae (AEEqFun.coeFn_add f g), snorm_add_lt_top ⟨f.aestronglyMeasurable, hf⟩ ⟨g.aestronglyMeasurable, hg⟩] neg_mem' {f} hf := by rwa [Set.mem_setOf_eq, snorm_congr_ae (AEEqFun.coeFn_neg f), snorm_neg] #align measure_theory.Lp MeasureTheory.Lp -- Porting note: calling the first argument `α` breaks the `(α := ·)` notation scoped notation:25 α' " →₁[" μ "] " E => MeasureTheory.Lp (α := α') E 1 μ scoped notation:25 α' " →₂[" μ "] " E => MeasureTheory.Lp (α := α') E 2 μ namespace Lp instance instCoeFun : CoeFun (Lp E p μ) (fun _ => α → E) := ⟨fun f => ((f : α →ₘ[μ] E) : α → E)⟩ #align measure_theory.Lp.has_coe_to_fun MeasureTheory.Lp.instCoeFun @[ext high]
Mathlib/MeasureTheory/Function/LpSpace.lean
163
167
theorem ext {f g : Lp E p μ} (h : f =ᵐ[μ] g) : f = g := by
cases f cases g simp only [Subtype.mk_eq_mk] exact AEEqFun.ext h
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import Mathlib.Analysis.Normed.Group.Hom import Mathlib.Analysis.SpecialFunctions.Pow.Continuity import Mathlib.Data.Set.Image import Mathlib.MeasureTheory.Function.LpSeminorm.ChebyshevMarkov import Mathlib.MeasureTheory.Function.LpSeminorm.CompareExp import Mathlib.MeasureTheory.Function.LpSeminorm.TriangleInequality import Mathlib.MeasureTheory.Measure.OpenPos import Mathlib.Topology.ContinuousFunction.Compact import Mathlib.Order.Filter.IndicatorFunction #align_import measure_theory.function.lp_space from "leanprover-community/mathlib"@"c4015acc0a223449d44061e27ddac1835a3852b9" noncomputable section set_option linter.uppercaseLean3 false open TopologicalSpace MeasureTheory Filter open scoped NNReal ENNReal Topology MeasureTheory Uniformity variable {α E F G : Type*} {m m0 : MeasurableSpace α} {p : ℝ≥0∞} {q : ℝ} {μ ν : Measure α} [NormedAddCommGroup E] [NormedAddCommGroup F] [NormedAddCommGroup G] namespace MeasureTheory @[simp] theorem snorm_aeeqFun {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hf : AEStronglyMeasurable f μ) : snorm (AEEqFun.mk f hf) p μ = snorm f p μ := snorm_congr_ae (AEEqFun.coeFn_mk _ _) #align measure_theory.snorm_ae_eq_fun MeasureTheory.snorm_aeeqFun theorem Memℒp.snorm_mk_lt_top {α E : Type*} [MeasurableSpace α] {μ : Measure α} [NormedAddCommGroup E] {p : ℝ≥0∞} {f : α → E} (hfp : Memℒp f p μ) : snorm (AEEqFun.mk f hfp.1) p μ < ∞ := by simp [hfp.2] #align measure_theory.mem_ℒp.snorm_mk_lt_top MeasureTheory.Memℒp.snorm_mk_lt_top def Lp {α} (E : Type*) {m : MeasurableSpace α} [NormedAddCommGroup E] (p : ℝ≥0∞) (μ : Measure α := by volume_tac) : AddSubgroup (α →ₘ[μ] E) where carrier := { f | snorm f p μ < ∞ } zero_mem' := by simp [snorm_congr_ae AEEqFun.coeFn_zero, snorm_zero] add_mem' {f g} hf hg := by simp [snorm_congr_ae (AEEqFun.coeFn_add f g), snorm_add_lt_top ⟨f.aestronglyMeasurable, hf⟩ ⟨g.aestronglyMeasurable, hg⟩] neg_mem' {f} hf := by rwa [Set.mem_setOf_eq, snorm_congr_ae (AEEqFun.coeFn_neg f), snorm_neg] #align measure_theory.Lp MeasureTheory.Lp -- Porting note: calling the first argument `α` breaks the `(α := ·)` notation scoped notation:25 α' " →₁[" μ "] " E => MeasureTheory.Lp (α := α') E 1 μ scoped notation:25 α' " →₂[" μ "] " E => MeasureTheory.Lp (α := α') E 2 μ namespace Lp instance instCoeFun : CoeFun (Lp E p μ) (fun _ => α → E) := ⟨fun f => ((f : α →ₘ[μ] E) : α → E)⟩ #align measure_theory.Lp.has_coe_to_fun MeasureTheory.Lp.instCoeFun @[ext high] theorem ext {f g : Lp E p μ} (h : f =ᵐ[μ] g) : f = g := by cases f cases g simp only [Subtype.mk_eq_mk] exact AEEqFun.ext h #align measure_theory.Lp.ext MeasureTheory.Lp.ext theorem ext_iff {f g : Lp E p μ} : f = g ↔ f =ᵐ[μ] g := ⟨fun h => by rw [h], fun h => ext h⟩ #align measure_theory.Lp.ext_iff MeasureTheory.Lp.ext_iff theorem mem_Lp_iff_snorm_lt_top {f : α →ₘ[μ] E} : f ∈ Lp E p μ ↔ snorm f p μ < ∞ := Iff.rfl #align measure_theory.Lp.mem_Lp_iff_snorm_lt_top MeasureTheory.Lp.mem_Lp_iff_snorm_lt_top
Mathlib/MeasureTheory/Function/LpSpace.lean
177
178
theorem mem_Lp_iff_memℒp {f : α →ₘ[μ] E} : f ∈ Lp E p μ ↔ Memℒp f p μ := by
simp [mem_Lp_iff_snorm_lt_top, Memℒp, f.stronglyMeasurable.aestronglyMeasurable]
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import Mathlib.Analysis.Normed.Order.Lattice import Mathlib.MeasureTheory.Function.LpSpace #align_import measure_theory.function.lp_order from "leanprover-community/mathlib"@"5dc275ec639221ca4d5f56938eb966f6ad9bc89f" set_option linter.uppercaseLean3 false open TopologicalSpace MeasureTheory open scoped ENNReal variable {α E : Type*} {m : MeasurableSpace α} {μ : Measure α} {p : ℝ≥0∞} namespace MeasureTheory namespace Lp section Order variable [NormedLatticeAddCommGroup E]
Mathlib/MeasureTheory/Function/LpOrder.lean
41
42
theorem coeFn_le (f g : Lp E p μ) : f ≤ᵐ[μ] g ↔ f ≤ g := by
rw [← Subtype.coe_le_coe, ← AEEqFun.coeFn_le]
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import Mathlib.Analysis.Normed.Order.Lattice import Mathlib.MeasureTheory.Function.LpSpace #align_import measure_theory.function.lp_order from "leanprover-community/mathlib"@"5dc275ec639221ca4d5f56938eb966f6ad9bc89f" set_option linter.uppercaseLean3 false open TopologicalSpace MeasureTheory open scoped ENNReal variable {α E : Type*} {m : MeasurableSpace α} {μ : Measure α} {p : ℝ≥0∞} namespace MeasureTheory namespace Lp section Order variable [NormedLatticeAddCommGroup E] theorem coeFn_le (f g : Lp E p μ) : f ≤ᵐ[μ] g ↔ f ≤ g := by rw [← Subtype.coe_le_coe, ← AEEqFun.coeFn_le] #align measure_theory.Lp.coe_fn_le MeasureTheory.Lp.coeFn_le
Mathlib/MeasureTheory/Function/LpOrder.lean
45
50
theorem coeFn_nonneg (f : Lp E p μ) : 0 ≤ᵐ[μ] f ↔ 0 ≤ f := by
rw [← coeFn_le] have h0 := Lp.coeFn_zero E p μ constructor <;> intro h <;> filter_upwards [h, h0] with _ _ h2 · rwa [h2] · rwa [← h2]
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import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory
Mathlib/MeasureTheory/Function/L1Space.lean
66
67
theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by
simp only [edist_eq_coe_nnnorm]
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import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist
Mathlib/MeasureTheory/Function/L1Space.lean
70
72
theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by
simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm]
2,112
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm] #align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist
Mathlib/MeasureTheory/Function/L1Space.lean
75
80
theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ) (hh : AEStronglyMeasurable h μ) : (∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by
rw [← lintegral_add_left' (hf.edist hh)] refine lintegral_mono fun a => ?_ apply edist_triangle_right
2,112
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm] #align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ) (hh : AEStronglyMeasurable h μ) : (∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by rw [← lintegral_add_left' (hf.edist hh)] refine lintegral_mono fun a => ?_ apply edist_triangle_right #align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle
Mathlib/MeasureTheory/Function/L1Space.lean
83
83
theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by
simp
2,112
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm] #align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ) (hh : AEStronglyMeasurable h μ) : (∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by rw [← lintegral_add_left' (hf.edist hh)] refine lintegral_mono fun a => ?_ apply edist_triangle_right #align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp #align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_left' hf.ennnorm _ #align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_right' _ hg.ennnorm #align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right
Mathlib/MeasureTheory/Function/L1Space.lean
96
97
theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by
simp only [Pi.neg_apply, nnnorm_neg]
2,112
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm] #align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ) (hh : AEStronglyMeasurable h μ) : (∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by rw [← lintegral_add_left' (hf.edist hh)] refine lintegral_mono fun a => ?_ apply edist_triangle_right #align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp #align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_left' hf.ennnorm _ #align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_right' _ hg.ennnorm #align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by simp only [Pi.neg_apply, nnnorm_neg] #align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop := (∫⁻ a, ‖f a‖₊ ∂μ) < ∞ #align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) : HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) := Iff.rfl
Mathlib/MeasureTheory/Function/L1Space.lean
113
115
theorem hasFiniteIntegral_iff_norm (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by
simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm]
2,112
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm] #align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ) (hh : AEStronglyMeasurable h μ) : (∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by rw [← lintegral_add_left' (hf.edist hh)] refine lintegral_mono fun a => ?_ apply edist_triangle_right #align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp #align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_left' hf.ennnorm _ #align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_right' _ hg.ennnorm #align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by simp only [Pi.neg_apply, nnnorm_neg] #align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop := (∫⁻ a, ‖f a‖₊ ∂μ) < ∞ #align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) : HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) := Iff.rfl theorem hasFiniteIntegral_iff_norm (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm] #align measure_theory.has_finite_integral_iff_norm MeasureTheory.hasFiniteIntegral_iff_norm
Mathlib/MeasureTheory/Function/L1Space.lean
118
120
theorem hasFiniteIntegral_iff_edist (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, edist (f a) 0 ∂μ) < ∞ := by
simp only [hasFiniteIntegral_iff_norm, edist_dist, dist_zero_right]
2,112
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm] #align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ) (hh : AEStronglyMeasurable h μ) : (∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by rw [← lintegral_add_left' (hf.edist hh)] refine lintegral_mono fun a => ?_ apply edist_triangle_right #align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp #align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_left' hf.ennnorm _ #align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_right' _ hg.ennnorm #align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by simp only [Pi.neg_apply, nnnorm_neg] #align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop := (∫⁻ a, ‖f a‖₊ ∂μ) < ∞ #align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) : HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) := Iff.rfl theorem hasFiniteIntegral_iff_norm (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm] #align measure_theory.has_finite_integral_iff_norm MeasureTheory.hasFiniteIntegral_iff_norm theorem hasFiniteIntegral_iff_edist (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, edist (f a) 0 ∂μ) < ∞ := by simp only [hasFiniteIntegral_iff_norm, edist_dist, dist_zero_right] #align measure_theory.has_finite_integral_iff_edist MeasureTheory.hasFiniteIntegral_iff_edist
Mathlib/MeasureTheory/Function/L1Space.lean
123
125
theorem hasFiniteIntegral_iff_ofReal {f : α → ℝ} (h : 0 ≤ᵐ[μ] f) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal (f a) ∂μ) < ∞ := by
rw [HasFiniteIntegral, lintegral_nnnorm_eq_of_ae_nonneg h]
2,112
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm] #align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ) (hh : AEStronglyMeasurable h μ) : (∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by rw [← lintegral_add_left' (hf.edist hh)] refine lintegral_mono fun a => ?_ apply edist_triangle_right #align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp #align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_left' hf.ennnorm _ #align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_right' _ hg.ennnorm #align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by simp only [Pi.neg_apply, nnnorm_neg] #align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop := (∫⁻ a, ‖f a‖₊ ∂μ) < ∞ #align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) : HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) := Iff.rfl theorem hasFiniteIntegral_iff_norm (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm] #align measure_theory.has_finite_integral_iff_norm MeasureTheory.hasFiniteIntegral_iff_norm theorem hasFiniteIntegral_iff_edist (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, edist (f a) 0 ∂μ) < ∞ := by simp only [hasFiniteIntegral_iff_norm, edist_dist, dist_zero_right] #align measure_theory.has_finite_integral_iff_edist MeasureTheory.hasFiniteIntegral_iff_edist theorem hasFiniteIntegral_iff_ofReal {f : α → ℝ} (h : 0 ≤ᵐ[μ] f) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal (f a) ∂μ) < ∞ := by rw [HasFiniteIntegral, lintegral_nnnorm_eq_of_ae_nonneg h] #align measure_theory.has_finite_integral_iff_of_real MeasureTheory.hasFiniteIntegral_iff_ofReal
Mathlib/MeasureTheory/Function/L1Space.lean
128
130
theorem hasFiniteIntegral_iff_ofNNReal {f : α → ℝ≥0} : HasFiniteIntegral (fun x => (f x : ℝ)) μ ↔ (∫⁻ a, f a ∂μ) < ∞ := by
simp [hasFiniteIntegral_iff_norm]
2,112
import Mathlib.MeasureTheory.Function.LpOrder #align_import measure_theory.function.l1_space from "leanprover-community/mathlib"@"ccdbfb6e5614667af5aa3ab2d50885e0ef44a46f" noncomputable section open scoped Classical open Topology ENNReal MeasureTheory NNReal open Set Filter TopologicalSpace ENNReal EMetric MeasureTheory variable {α β γ δ : Type*} {m : MeasurableSpace α} {μ ν : Measure α} [MeasurableSpace δ] variable [NormedAddCommGroup β] variable [NormedAddCommGroup γ] namespace MeasureTheory theorem lintegral_nnnorm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ‖f a‖₊ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [edist_eq_coe_nnnorm] #align measure_theory.lintegral_nnnorm_eq_lintegral_edist MeasureTheory.lintegral_nnnorm_eq_lintegral_edist theorem lintegral_norm_eq_lintegral_edist (f : α → β) : ∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ = ∫⁻ a, edist (f a) 0 ∂μ := by simp only [ofReal_norm_eq_coe_nnnorm, edist_eq_coe_nnnorm] #align measure_theory.lintegral_norm_eq_lintegral_edist MeasureTheory.lintegral_norm_eq_lintegral_edist theorem lintegral_edist_triangle {f g h : α → β} (hf : AEStronglyMeasurable f μ) (hh : AEStronglyMeasurable h μ) : (∫⁻ a, edist (f a) (g a) ∂μ) ≤ (∫⁻ a, edist (f a) (h a) ∂μ) + ∫⁻ a, edist (g a) (h a) ∂μ := by rw [← lintegral_add_left' (hf.edist hh)] refine lintegral_mono fun a => ?_ apply edist_triangle_right #align measure_theory.lintegral_edist_triangle MeasureTheory.lintegral_edist_triangle theorem lintegral_nnnorm_zero : (∫⁻ _ : α, ‖(0 : β)‖₊ ∂μ) = 0 := by simp #align measure_theory.lintegral_nnnorm_zero MeasureTheory.lintegral_nnnorm_zero theorem lintegral_nnnorm_add_left {f : α → β} (hf : AEStronglyMeasurable f μ) (g : α → γ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_left' hf.ennnorm _ #align measure_theory.lintegral_nnnorm_add_left MeasureTheory.lintegral_nnnorm_add_left theorem lintegral_nnnorm_add_right (f : α → β) {g : α → γ} (hg : AEStronglyMeasurable g μ) : ∫⁻ a, ‖f a‖₊ + ‖g a‖₊ ∂μ = (∫⁻ a, ‖f a‖₊ ∂μ) + ∫⁻ a, ‖g a‖₊ ∂μ := lintegral_add_right' _ hg.ennnorm #align measure_theory.lintegral_nnnorm_add_right MeasureTheory.lintegral_nnnorm_add_right theorem lintegral_nnnorm_neg {f : α → β} : (∫⁻ a, ‖(-f) a‖₊ ∂μ) = ∫⁻ a, ‖f a‖₊ ∂μ := by simp only [Pi.neg_apply, nnnorm_neg] #align measure_theory.lintegral_nnnorm_neg MeasureTheory.lintegral_nnnorm_neg def HasFiniteIntegral {_ : MeasurableSpace α} (f : α → β) (μ : Measure α := by volume_tac) : Prop := (∫⁻ a, ‖f a‖₊ ∂μ) < ∞ #align measure_theory.has_finite_integral MeasureTheory.HasFiniteIntegral theorem hasFiniteIntegral_def {_ : MeasurableSpace α} (f : α → β) (μ : Measure α) : HasFiniteIntegral f μ ↔ ((∫⁻ a, ‖f a‖₊ ∂μ) < ∞) := Iff.rfl theorem hasFiniteIntegral_iff_norm (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) < ∞ := by simp only [HasFiniteIntegral, ofReal_norm_eq_coe_nnnorm] #align measure_theory.has_finite_integral_iff_norm MeasureTheory.hasFiniteIntegral_iff_norm theorem hasFiniteIntegral_iff_edist (f : α → β) : HasFiniteIntegral f μ ↔ (∫⁻ a, edist (f a) 0 ∂μ) < ∞ := by simp only [hasFiniteIntegral_iff_norm, edist_dist, dist_zero_right] #align measure_theory.has_finite_integral_iff_edist MeasureTheory.hasFiniteIntegral_iff_edist theorem hasFiniteIntegral_iff_ofReal {f : α → ℝ} (h : 0 ≤ᵐ[μ] f) : HasFiniteIntegral f μ ↔ (∫⁻ a, ENNReal.ofReal (f a) ∂μ) < ∞ := by rw [HasFiniteIntegral, lintegral_nnnorm_eq_of_ae_nonneg h] #align measure_theory.has_finite_integral_iff_of_real MeasureTheory.hasFiniteIntegral_iff_ofReal theorem hasFiniteIntegral_iff_ofNNReal {f : α → ℝ≥0} : HasFiniteIntegral (fun x => (f x : ℝ)) μ ↔ (∫⁻ a, f a ∂μ) < ∞ := by simp [hasFiniteIntegral_iff_norm] #align measure_theory.has_finite_integral_iff_of_nnreal MeasureTheory.hasFiniteIntegral_iff_ofNNReal
Mathlib/MeasureTheory/Function/L1Space.lean
133
139
theorem HasFiniteIntegral.mono {f : α → β} {g : α → γ} (hg : HasFiniteIntegral g μ) (h : ∀ᵐ a ∂μ, ‖f a‖ ≤ ‖g a‖) : HasFiniteIntegral f μ := by
simp only [hasFiniteIntegral_iff_norm] at * calc (∫⁻ a, ENNReal.ofReal ‖f a‖ ∂μ) ≤ ∫⁻ a : α, ENNReal.ofReal ‖g a‖ ∂μ := lintegral_mono_ae (h.mono fun a h => ofReal_le_ofReal h) _ < ∞ := hg
2,112
import Mathlib.MeasureTheory.Function.L1Space import Mathlib.Analysis.NormedSpace.IndicatorFunction #align_import measure_theory.integral.integrable_on from "leanprover-community/mathlib"@"8b8ba04e2f326f3f7cf24ad129beda58531ada61" noncomputable section open Set Filter TopologicalSpace MeasureTheory Function open scoped Classical Topology Interval Filter ENNReal MeasureTheory variable {α β E F : Type*} [MeasurableSpace α] section variable [TopologicalSpace β] {l l' : Filter α} {f g : α → β} {μ ν : Measure α} def StronglyMeasurableAtFilter (f : α → β) (l : Filter α) (μ : Measure α := by volume_tac) := ∃ s ∈ l, AEStronglyMeasurable f (μ.restrict s) #align strongly_measurable_at_filter StronglyMeasurableAtFilter @[simp] theorem stronglyMeasurableAt_bot {f : α → β} : StronglyMeasurableAtFilter f ⊥ μ := ⟨∅, mem_bot, by simp⟩ #align strongly_measurable_at_bot stronglyMeasurableAt_bot protected theorem StronglyMeasurableAtFilter.eventually (h : StronglyMeasurableAtFilter f l μ) : ∀ᶠ s in l.smallSets, AEStronglyMeasurable f (μ.restrict s) := (eventually_smallSets' fun _ _ => AEStronglyMeasurable.mono_set).2 h #align strongly_measurable_at_filter.eventually StronglyMeasurableAtFilter.eventually protected theorem StronglyMeasurableAtFilter.filter_mono (h : StronglyMeasurableAtFilter f l μ) (h' : l' ≤ l) : StronglyMeasurableAtFilter f l' μ := let ⟨s, hsl, hs⟩ := h ⟨s, h' hsl, hs⟩ #align strongly_measurable_at_filter.filter_mono StronglyMeasurableAtFilter.filter_mono protected theorem MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter (h : AEStronglyMeasurable f μ) : StronglyMeasurableAtFilter f l μ := ⟨univ, univ_mem, by rwa [Measure.restrict_univ]⟩ #align measure_theory.ae_strongly_measurable.strongly_measurable_at_filter MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter theorem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem {s} (h : AEStronglyMeasurable f (μ.restrict s)) (hl : s ∈ l) : StronglyMeasurableAtFilter f l μ := ⟨s, hl, h⟩ #align ae_strongly_measurable.strongly_measurable_at_filter_of_mem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem protected theorem MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter (h : StronglyMeasurable f) : StronglyMeasurableAtFilter f l μ := h.aestronglyMeasurable.stronglyMeasurableAtFilter #align measure_theory.strongly_measurable.strongly_measurable_at_filter MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter end namespace MeasureTheory section NormedAddCommGroup theorem hasFiniteIntegral_restrict_of_bounded [NormedAddCommGroup E] {f : α → E} {s : Set α} {μ : Measure α} {C} (hs : μ s < ∞) (hf : ∀ᵐ x ∂μ.restrict s, ‖f x‖ ≤ C) : HasFiniteIntegral f (μ.restrict s) := haveI : IsFiniteMeasure (μ.restrict s) := ⟨by rwa [Measure.restrict_apply_univ]⟩ hasFiniteIntegral_of_bounded hf #align measure_theory.has_finite_integral_restrict_of_bounded MeasureTheory.hasFiniteIntegral_restrict_of_bounded variable [NormedAddCommGroup E] {f g : α → E} {s t : Set α} {μ ν : Measure α} def IntegrableOn (f : α → E) (s : Set α) (μ : Measure α := by volume_tac) : Prop := Integrable f (μ.restrict s) #align measure_theory.integrable_on MeasureTheory.IntegrableOn theorem IntegrableOn.integrable (h : IntegrableOn f s μ) : Integrable f (μ.restrict s) := h #align measure_theory.integrable_on.integrable MeasureTheory.IntegrableOn.integrable @[simp]
Mathlib/MeasureTheory/Integral/IntegrableOn.lean
99
99
theorem integrableOn_empty : IntegrableOn f ∅ μ := by
simp [IntegrableOn, integrable_zero_measure]
2,113
import Mathlib.MeasureTheory.Function.L1Space import Mathlib.Analysis.NormedSpace.IndicatorFunction #align_import measure_theory.integral.integrable_on from "leanprover-community/mathlib"@"8b8ba04e2f326f3f7cf24ad129beda58531ada61" noncomputable section open Set Filter TopologicalSpace MeasureTheory Function open scoped Classical Topology Interval Filter ENNReal MeasureTheory variable {α β E F : Type*} [MeasurableSpace α] section variable [TopologicalSpace β] {l l' : Filter α} {f g : α → β} {μ ν : Measure α} def StronglyMeasurableAtFilter (f : α → β) (l : Filter α) (μ : Measure α := by volume_tac) := ∃ s ∈ l, AEStronglyMeasurable f (μ.restrict s) #align strongly_measurable_at_filter StronglyMeasurableAtFilter @[simp] theorem stronglyMeasurableAt_bot {f : α → β} : StronglyMeasurableAtFilter f ⊥ μ := ⟨∅, mem_bot, by simp⟩ #align strongly_measurable_at_bot stronglyMeasurableAt_bot protected theorem StronglyMeasurableAtFilter.eventually (h : StronglyMeasurableAtFilter f l μ) : ∀ᶠ s in l.smallSets, AEStronglyMeasurable f (μ.restrict s) := (eventually_smallSets' fun _ _ => AEStronglyMeasurable.mono_set).2 h #align strongly_measurable_at_filter.eventually StronglyMeasurableAtFilter.eventually protected theorem StronglyMeasurableAtFilter.filter_mono (h : StronglyMeasurableAtFilter f l μ) (h' : l' ≤ l) : StronglyMeasurableAtFilter f l' μ := let ⟨s, hsl, hs⟩ := h ⟨s, h' hsl, hs⟩ #align strongly_measurable_at_filter.filter_mono StronglyMeasurableAtFilter.filter_mono protected theorem MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter (h : AEStronglyMeasurable f μ) : StronglyMeasurableAtFilter f l μ := ⟨univ, univ_mem, by rwa [Measure.restrict_univ]⟩ #align measure_theory.ae_strongly_measurable.strongly_measurable_at_filter MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter theorem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem {s} (h : AEStronglyMeasurable f (μ.restrict s)) (hl : s ∈ l) : StronglyMeasurableAtFilter f l μ := ⟨s, hl, h⟩ #align ae_strongly_measurable.strongly_measurable_at_filter_of_mem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem protected theorem MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter (h : StronglyMeasurable f) : StronglyMeasurableAtFilter f l μ := h.aestronglyMeasurable.stronglyMeasurableAtFilter #align measure_theory.strongly_measurable.strongly_measurable_at_filter MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter end namespace MeasureTheory section NormedAddCommGroup theorem hasFiniteIntegral_restrict_of_bounded [NormedAddCommGroup E] {f : α → E} {s : Set α} {μ : Measure α} {C} (hs : μ s < ∞) (hf : ∀ᵐ x ∂μ.restrict s, ‖f x‖ ≤ C) : HasFiniteIntegral f (μ.restrict s) := haveI : IsFiniteMeasure (μ.restrict s) := ⟨by rwa [Measure.restrict_apply_univ]⟩ hasFiniteIntegral_of_bounded hf #align measure_theory.has_finite_integral_restrict_of_bounded MeasureTheory.hasFiniteIntegral_restrict_of_bounded variable [NormedAddCommGroup E] {f g : α → E} {s t : Set α} {μ ν : Measure α} def IntegrableOn (f : α → E) (s : Set α) (μ : Measure α := by volume_tac) : Prop := Integrable f (μ.restrict s) #align measure_theory.integrable_on MeasureTheory.IntegrableOn theorem IntegrableOn.integrable (h : IntegrableOn f s μ) : Integrable f (μ.restrict s) := h #align measure_theory.integrable_on.integrable MeasureTheory.IntegrableOn.integrable @[simp] theorem integrableOn_empty : IntegrableOn f ∅ μ := by simp [IntegrableOn, integrable_zero_measure] #align measure_theory.integrable_on_empty MeasureTheory.integrableOn_empty @[simp]
Mathlib/MeasureTheory/Integral/IntegrableOn.lean
103
104
theorem integrableOn_univ : IntegrableOn f univ μ ↔ Integrable f μ := by
rw [IntegrableOn, Measure.restrict_univ]
2,113
import Mathlib.MeasureTheory.Function.L1Space import Mathlib.Analysis.NormedSpace.IndicatorFunction #align_import measure_theory.integral.integrable_on from "leanprover-community/mathlib"@"8b8ba04e2f326f3f7cf24ad129beda58531ada61" noncomputable section open Set Filter TopologicalSpace MeasureTheory Function open scoped Classical Topology Interval Filter ENNReal MeasureTheory variable {α β E F : Type*} [MeasurableSpace α] section variable [TopologicalSpace β] {l l' : Filter α} {f g : α → β} {μ ν : Measure α} def StronglyMeasurableAtFilter (f : α → β) (l : Filter α) (μ : Measure α := by volume_tac) := ∃ s ∈ l, AEStronglyMeasurable f (μ.restrict s) #align strongly_measurable_at_filter StronglyMeasurableAtFilter @[simp] theorem stronglyMeasurableAt_bot {f : α → β} : StronglyMeasurableAtFilter f ⊥ μ := ⟨∅, mem_bot, by simp⟩ #align strongly_measurable_at_bot stronglyMeasurableAt_bot protected theorem StronglyMeasurableAtFilter.eventually (h : StronglyMeasurableAtFilter f l μ) : ∀ᶠ s in l.smallSets, AEStronglyMeasurable f (μ.restrict s) := (eventually_smallSets' fun _ _ => AEStronglyMeasurable.mono_set).2 h #align strongly_measurable_at_filter.eventually StronglyMeasurableAtFilter.eventually protected theorem StronglyMeasurableAtFilter.filter_mono (h : StronglyMeasurableAtFilter f l μ) (h' : l' ≤ l) : StronglyMeasurableAtFilter f l' μ := let ⟨s, hsl, hs⟩ := h ⟨s, h' hsl, hs⟩ #align strongly_measurable_at_filter.filter_mono StronglyMeasurableAtFilter.filter_mono protected theorem MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter (h : AEStronglyMeasurable f μ) : StronglyMeasurableAtFilter f l μ := ⟨univ, univ_mem, by rwa [Measure.restrict_univ]⟩ #align measure_theory.ae_strongly_measurable.strongly_measurable_at_filter MeasureTheory.AEStronglyMeasurable.stronglyMeasurableAtFilter theorem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem {s} (h : AEStronglyMeasurable f (μ.restrict s)) (hl : s ∈ l) : StronglyMeasurableAtFilter f l μ := ⟨s, hl, h⟩ #align ae_strongly_measurable.strongly_measurable_at_filter_of_mem AeStronglyMeasurable.stronglyMeasurableAtFilter_of_mem protected theorem MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter (h : StronglyMeasurable f) : StronglyMeasurableAtFilter f l μ := h.aestronglyMeasurable.stronglyMeasurableAtFilter #align measure_theory.strongly_measurable.strongly_measurable_at_filter MeasureTheory.StronglyMeasurable.stronglyMeasurableAtFilter end namespace MeasureTheory open MeasureTheory variable [NormedAddCommGroup E]
Mathlib/MeasureTheory/Integral/IntegrableOn.lean
572
583
theorem ContinuousOn.aemeasurable [TopologicalSpace α] [OpensMeasurableSpace α] [MeasurableSpace β] [TopologicalSpace β] [BorelSpace β] {f : α → β} {s : Set α} {μ : Measure α} (hf : ContinuousOn f s) (hs : MeasurableSet s) : AEMeasurable f (μ.restrict s) := by
nontriviality α; inhabit α have : (Set.piecewise s f fun _ => f default) =ᵐ[μ.restrict s] f := piecewise_ae_eq_restrict hs refine ⟨Set.piecewise s f fun _ => f default, ?_, this.symm⟩ apply measurable_of_isOpen intro t ht obtain ⟨u, u_open, hu⟩ : ∃ u : Set α, IsOpen u ∧ f ⁻¹' t ∩ s = u ∩ s := _root_.continuousOn_iff'.1 hf t ht rw [piecewise_preimage, Set.ite, hu] exact (u_open.measurableSet.inter hs).union ((measurable_const ht.measurableSet).diff hs)
2,113
import Mathlib.MeasureTheory.Group.Measure import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Function.LocallyIntegrable open Asymptotics MeasureTheory Set Filter variable {α E F : Type*} [MeasurableSpace α] [NormedAddCommGroup E] [NormedAddCommGroup F] {f : α → E} {g : α → F} {a b : α} {μ : Measure α} {l : Filter α}
Mathlib/MeasureTheory/Integral/Asymptotics.lean
36
44
theorem _root_.Asymptotics.IsBigO.integrableAtFilter [IsMeasurablyGenerated l] (hf : f =O[l] g) (hfm : StronglyMeasurableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) : IntegrableAtFilter f l μ := by
obtain ⟨C, hC⟩ := hf.bound obtain ⟨s, hsl, hsm, hfg, hf, hg⟩ := (hC.smallSets.and <| hfm.eventually.and hg.eventually).exists_measurable_mem_of_smallSets refine ⟨s, hsl, (hg.norm.const_mul C).mono hf ?_⟩ refine (ae_restrict_mem hsm).mono fun x hx ↦ ?_ exact (hfg x hx).trans (le_abs_self _)
2,114
import Mathlib.MeasureTheory.Group.Measure import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Function.LocallyIntegrable open Asymptotics MeasureTheory Set Filter variable {α E F : Type*} [MeasurableSpace α] [NormedAddCommGroup E] [NormedAddCommGroup F] {f : α → E} {g : α → F} {a b : α} {μ : Measure α} {l : Filter α} theorem _root_.Asymptotics.IsBigO.integrableAtFilter [IsMeasurablyGenerated l] (hf : f =O[l] g) (hfm : StronglyMeasurableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) : IntegrableAtFilter f l μ := by obtain ⟨C, hC⟩ := hf.bound obtain ⟨s, hsl, hsm, hfg, hf, hg⟩ := (hC.smallSets.and <| hfm.eventually.and hg.eventually).exists_measurable_mem_of_smallSets refine ⟨s, hsl, (hg.norm.const_mul C).mono hf ?_⟩ refine (ae_restrict_mem hsm).mono fun x hx ↦ ?_ exact (hfg x hx).trans (le_abs_self _)
Mathlib/MeasureTheory/Integral/Asymptotics.lean
47
50
theorem _root_.Asymptotics.IsBigO.integrable (hfm : AEStronglyMeasurable f μ) (hf : f =O[⊤] g) (hg : Integrable g μ) : Integrable f μ := by
rewrite [← integrableAtFilter_top] at * exact hf.integrableAtFilter ⟨univ, univ_mem, hfm.restrict⟩ hg
2,114
import Mathlib.MeasureTheory.Group.Measure import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Function.LocallyIntegrable open Asymptotics MeasureTheory Set Filter variable {α E F : Type*} [MeasurableSpace α] [NormedAddCommGroup E] [NormedAddCommGroup F] {f : α → E} {g : α → F} {a b : α} {μ : Measure α} {l : Filter α} theorem _root_.Asymptotics.IsBigO.integrableAtFilter [IsMeasurablyGenerated l] (hf : f =O[l] g) (hfm : StronglyMeasurableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) : IntegrableAtFilter f l μ := by obtain ⟨C, hC⟩ := hf.bound obtain ⟨s, hsl, hsm, hfg, hf, hg⟩ := (hC.smallSets.and <| hfm.eventually.and hg.eventually).exists_measurable_mem_of_smallSets refine ⟨s, hsl, (hg.norm.const_mul C).mono hf ?_⟩ refine (ae_restrict_mem hsm).mono fun x hx ↦ ?_ exact (hfg x hx).trans (le_abs_self _) theorem _root_.Asymptotics.IsBigO.integrable (hfm : AEStronglyMeasurable f μ) (hf : f =O[⊤] g) (hg : Integrable g μ) : Integrable f μ := by rewrite [← integrableAtFilter_top] at * exact hf.integrableAtFilter ⟨univ, univ_mem, hfm.restrict⟩ hg variable [TopologicalSpace α] [SecondCountableTopology α] namespace MeasureTheory
Mathlib/MeasureTheory/Integral/Asymptotics.lean
58
62
theorem LocallyIntegrable.integrable_of_isBigO_cocompact [IsMeasurablyGenerated (cocompact α)] (hf : LocallyIntegrable f μ) (ho : f =O[cocompact α] g) (hg : IntegrableAtFilter g (cocompact α) μ) : Integrable f μ := by
refine integrable_iff_integrableAtFilter_cocompact.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter
2,114
import Mathlib.MeasureTheory.Group.Measure import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Function.LocallyIntegrable open Asymptotics MeasureTheory Set Filter variable {α E F : Type*} [MeasurableSpace α] [NormedAddCommGroup E] [NormedAddCommGroup F] {f : α → E} {g : α → F} {a b : α} {μ : Measure α} {l : Filter α} theorem _root_.Asymptotics.IsBigO.integrableAtFilter [IsMeasurablyGenerated l] (hf : f =O[l] g) (hfm : StronglyMeasurableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) : IntegrableAtFilter f l μ := by obtain ⟨C, hC⟩ := hf.bound obtain ⟨s, hsl, hsm, hfg, hf, hg⟩ := (hC.smallSets.and <| hfm.eventually.and hg.eventually).exists_measurable_mem_of_smallSets refine ⟨s, hsl, (hg.norm.const_mul C).mono hf ?_⟩ refine (ae_restrict_mem hsm).mono fun x hx ↦ ?_ exact (hfg x hx).trans (le_abs_self _) theorem _root_.Asymptotics.IsBigO.integrable (hfm : AEStronglyMeasurable f μ) (hf : f =O[⊤] g) (hg : Integrable g μ) : Integrable f μ := by rewrite [← integrableAtFilter_top] at * exact hf.integrableAtFilter ⟨univ, univ_mem, hfm.restrict⟩ hg variable [TopologicalSpace α] [SecondCountableTopology α] namespace MeasureTheory theorem LocallyIntegrable.integrable_of_isBigO_cocompact [IsMeasurablyGenerated (cocompact α)] (hf : LocallyIntegrable f μ) (ho : f =O[cocompact α] g) (hg : IntegrableAtFilter g (cocompact α) μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_cocompact.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter section LinearOrder variable [LinearOrder α] [CompactIccSpace α] {g' : α → F}
Mathlib/MeasureTheory/Integral/Asymptotics.lean
70
77
theorem LocallyIntegrable.integrable_of_isBigO_atBot_atTop [IsMeasurablyGenerated (atBot (α := α))] [IsMeasurablyGenerated (atTop (α := α))] (hf : LocallyIntegrable f μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) (ho' : f =O[atTop] g') (hg' : IntegrableAtFilter g' atTop μ) : Integrable f μ := by
refine integrable_iff_integrableAtFilter_atBot_atTop.mpr ⟨⟨ho.integrableAtFilter ?_ hg, ho'.integrableAtFilter ?_ hg'⟩, hf⟩ all_goals exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter
2,114
import Mathlib.MeasureTheory.Group.Measure import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Function.LocallyIntegrable open Asymptotics MeasureTheory Set Filter variable {α E F : Type*} [MeasurableSpace α] [NormedAddCommGroup E] [NormedAddCommGroup F] {f : α → E} {g : α → F} {a b : α} {μ : Measure α} {l : Filter α} theorem _root_.Asymptotics.IsBigO.integrableAtFilter [IsMeasurablyGenerated l] (hf : f =O[l] g) (hfm : StronglyMeasurableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) : IntegrableAtFilter f l μ := by obtain ⟨C, hC⟩ := hf.bound obtain ⟨s, hsl, hsm, hfg, hf, hg⟩ := (hC.smallSets.and <| hfm.eventually.and hg.eventually).exists_measurable_mem_of_smallSets refine ⟨s, hsl, (hg.norm.const_mul C).mono hf ?_⟩ refine (ae_restrict_mem hsm).mono fun x hx ↦ ?_ exact (hfg x hx).trans (le_abs_self _) theorem _root_.Asymptotics.IsBigO.integrable (hfm : AEStronglyMeasurable f μ) (hf : f =O[⊤] g) (hg : Integrable g μ) : Integrable f μ := by rewrite [← integrableAtFilter_top] at * exact hf.integrableAtFilter ⟨univ, univ_mem, hfm.restrict⟩ hg variable [TopologicalSpace α] [SecondCountableTopology α] namespace MeasureTheory theorem LocallyIntegrable.integrable_of_isBigO_cocompact [IsMeasurablyGenerated (cocompact α)] (hf : LocallyIntegrable f μ) (ho : f =O[cocompact α] g) (hg : IntegrableAtFilter g (cocompact α) μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_cocompact.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter section LinearOrder variable [LinearOrder α] [CompactIccSpace α] {g' : α → F} theorem LocallyIntegrable.integrable_of_isBigO_atBot_atTop [IsMeasurablyGenerated (atBot (α := α))] [IsMeasurablyGenerated (atTop (α := α))] (hf : LocallyIntegrable f μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) (ho' : f =O[atTop] g') (hg' : IntegrableAtFilter g' atTop μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_atBot_atTop.mpr ⟨⟨ho.integrableAtFilter ?_ hg, ho'.integrableAtFilter ?_ hg'⟩, hf⟩ all_goals exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter
Mathlib/MeasureTheory/Integral/Asymptotics.lean
81
85
theorem LocallyIntegrableOn.integrableOn_of_isBigO_atBot [IsMeasurablyGenerated (atBot (α := α))] (hf : LocallyIntegrableOn f (Iic a) μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) : IntegrableOn f (Iic a) μ := by
refine integrableOn_Iic_iff_integrableAtFilter_atBot.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact ⟨Iic a, Iic_mem_atBot a, hf.aestronglyMeasurable⟩
2,114
import Mathlib.MeasureTheory.Group.Measure import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Function.LocallyIntegrable open Asymptotics MeasureTheory Set Filter variable {α E F : Type*} [MeasurableSpace α] [NormedAddCommGroup E] [NormedAddCommGroup F] {f : α → E} {g : α → F} {a b : α} {μ : Measure α} {l : Filter α} theorem _root_.Asymptotics.IsBigO.integrableAtFilter [IsMeasurablyGenerated l] (hf : f =O[l] g) (hfm : StronglyMeasurableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) : IntegrableAtFilter f l μ := by obtain ⟨C, hC⟩ := hf.bound obtain ⟨s, hsl, hsm, hfg, hf, hg⟩ := (hC.smallSets.and <| hfm.eventually.and hg.eventually).exists_measurable_mem_of_smallSets refine ⟨s, hsl, (hg.norm.const_mul C).mono hf ?_⟩ refine (ae_restrict_mem hsm).mono fun x hx ↦ ?_ exact (hfg x hx).trans (le_abs_self _) theorem _root_.Asymptotics.IsBigO.integrable (hfm : AEStronglyMeasurable f μ) (hf : f =O[⊤] g) (hg : Integrable g μ) : Integrable f μ := by rewrite [← integrableAtFilter_top] at * exact hf.integrableAtFilter ⟨univ, univ_mem, hfm.restrict⟩ hg variable [TopologicalSpace α] [SecondCountableTopology α] namespace MeasureTheory theorem LocallyIntegrable.integrable_of_isBigO_cocompact [IsMeasurablyGenerated (cocompact α)] (hf : LocallyIntegrable f μ) (ho : f =O[cocompact α] g) (hg : IntegrableAtFilter g (cocompact α) μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_cocompact.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter section LinearOrder variable [LinearOrder α] [CompactIccSpace α] {g' : α → F} theorem LocallyIntegrable.integrable_of_isBigO_atBot_atTop [IsMeasurablyGenerated (atBot (α := α))] [IsMeasurablyGenerated (atTop (α := α))] (hf : LocallyIntegrable f μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) (ho' : f =O[atTop] g') (hg' : IntegrableAtFilter g' atTop μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_atBot_atTop.mpr ⟨⟨ho.integrableAtFilter ?_ hg, ho'.integrableAtFilter ?_ hg'⟩, hf⟩ all_goals exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter theorem LocallyIntegrableOn.integrableOn_of_isBigO_atBot [IsMeasurablyGenerated (atBot (α := α))] (hf : LocallyIntegrableOn f (Iic a) μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) : IntegrableOn f (Iic a) μ := by refine integrableOn_Iic_iff_integrableAtFilter_atBot.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact ⟨Iic a, Iic_mem_atBot a, hf.aestronglyMeasurable⟩
Mathlib/MeasureTheory/Integral/Asymptotics.lean
89
93
theorem LocallyIntegrableOn.integrableOn_of_isBigO_atTop [IsMeasurablyGenerated (atTop (α := α))] (hf : LocallyIntegrableOn f (Ici a) μ) (ho : f =O[atTop] g) (hg : IntegrableAtFilter g atTop μ) : IntegrableOn f (Ici a) μ := by
refine integrableOn_Ici_iff_integrableAtFilter_atTop.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact ⟨Ici a, Ici_mem_atTop a, hf.aestronglyMeasurable⟩
2,114
import Mathlib.MeasureTheory.Group.Measure import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Function.LocallyIntegrable open Asymptotics MeasureTheory Set Filter variable {α E F : Type*} [MeasurableSpace α] [NormedAddCommGroup E] [NormedAddCommGroup F] {f : α → E} {g : α → F} {a b : α} {μ : Measure α} {l : Filter α} theorem _root_.Asymptotics.IsBigO.integrableAtFilter [IsMeasurablyGenerated l] (hf : f =O[l] g) (hfm : StronglyMeasurableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) : IntegrableAtFilter f l μ := by obtain ⟨C, hC⟩ := hf.bound obtain ⟨s, hsl, hsm, hfg, hf, hg⟩ := (hC.smallSets.and <| hfm.eventually.and hg.eventually).exists_measurable_mem_of_smallSets refine ⟨s, hsl, (hg.norm.const_mul C).mono hf ?_⟩ refine (ae_restrict_mem hsm).mono fun x hx ↦ ?_ exact (hfg x hx).trans (le_abs_self _) theorem _root_.Asymptotics.IsBigO.integrable (hfm : AEStronglyMeasurable f μ) (hf : f =O[⊤] g) (hg : Integrable g μ) : Integrable f μ := by rewrite [← integrableAtFilter_top] at * exact hf.integrableAtFilter ⟨univ, univ_mem, hfm.restrict⟩ hg variable [TopologicalSpace α] [SecondCountableTopology α] namespace MeasureTheory theorem LocallyIntegrable.integrable_of_isBigO_cocompact [IsMeasurablyGenerated (cocompact α)] (hf : LocallyIntegrable f μ) (ho : f =O[cocompact α] g) (hg : IntegrableAtFilter g (cocompact α) μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_cocompact.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter section LinearOrder variable [LinearOrder α] [CompactIccSpace α] {g' : α → F} theorem LocallyIntegrable.integrable_of_isBigO_atBot_atTop [IsMeasurablyGenerated (atBot (α := α))] [IsMeasurablyGenerated (atTop (α := α))] (hf : LocallyIntegrable f μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) (ho' : f =O[atTop] g') (hg' : IntegrableAtFilter g' atTop μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_atBot_atTop.mpr ⟨⟨ho.integrableAtFilter ?_ hg, ho'.integrableAtFilter ?_ hg'⟩, hf⟩ all_goals exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter theorem LocallyIntegrableOn.integrableOn_of_isBigO_atBot [IsMeasurablyGenerated (atBot (α := α))] (hf : LocallyIntegrableOn f (Iic a) μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) : IntegrableOn f (Iic a) μ := by refine integrableOn_Iic_iff_integrableAtFilter_atBot.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact ⟨Iic a, Iic_mem_atBot a, hf.aestronglyMeasurable⟩ theorem LocallyIntegrableOn.integrableOn_of_isBigO_atTop [IsMeasurablyGenerated (atTop (α := α))] (hf : LocallyIntegrableOn f (Ici a) μ) (ho : f =O[atTop] g) (hg : IntegrableAtFilter g atTop μ) : IntegrableOn f (Ici a) μ := by refine integrableOn_Ici_iff_integrableAtFilter_atTop.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact ⟨Ici a, Ici_mem_atTop a, hf.aestronglyMeasurable⟩
Mathlib/MeasureTheory/Integral/Asymptotics.lean
97
101
theorem LocallyIntegrable.integrable_of_isBigO_atBot [IsMeasurablyGenerated (atBot (α := α))] [OrderTop α] (hf : LocallyIntegrable f μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) : Integrable f μ := by
refine integrable_iff_integrableAtFilter_atBot.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter
2,114
import Mathlib.MeasureTheory.Group.Measure import Mathlib.MeasureTheory.Integral.IntegrableOn import Mathlib.MeasureTheory.Function.LocallyIntegrable open Asymptotics MeasureTheory Set Filter variable {α E F : Type*} [MeasurableSpace α] [NormedAddCommGroup E] [NormedAddCommGroup F] {f : α → E} {g : α → F} {a b : α} {μ : Measure α} {l : Filter α} theorem _root_.Asymptotics.IsBigO.integrableAtFilter [IsMeasurablyGenerated l] (hf : f =O[l] g) (hfm : StronglyMeasurableAtFilter f l μ) (hg : IntegrableAtFilter g l μ) : IntegrableAtFilter f l μ := by obtain ⟨C, hC⟩ := hf.bound obtain ⟨s, hsl, hsm, hfg, hf, hg⟩ := (hC.smallSets.and <| hfm.eventually.and hg.eventually).exists_measurable_mem_of_smallSets refine ⟨s, hsl, (hg.norm.const_mul C).mono hf ?_⟩ refine (ae_restrict_mem hsm).mono fun x hx ↦ ?_ exact (hfg x hx).trans (le_abs_self _) theorem _root_.Asymptotics.IsBigO.integrable (hfm : AEStronglyMeasurable f μ) (hf : f =O[⊤] g) (hg : Integrable g μ) : Integrable f μ := by rewrite [← integrableAtFilter_top] at * exact hf.integrableAtFilter ⟨univ, univ_mem, hfm.restrict⟩ hg variable [TopologicalSpace α] [SecondCountableTopology α] namespace MeasureTheory theorem LocallyIntegrable.integrable_of_isBigO_cocompact [IsMeasurablyGenerated (cocompact α)] (hf : LocallyIntegrable f μ) (ho : f =O[cocompact α] g) (hg : IntegrableAtFilter g (cocompact α) μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_cocompact.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter section LinearOrder variable [LinearOrder α] [CompactIccSpace α] {g' : α → F} theorem LocallyIntegrable.integrable_of_isBigO_atBot_atTop [IsMeasurablyGenerated (atBot (α := α))] [IsMeasurablyGenerated (atTop (α := α))] (hf : LocallyIntegrable f μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) (ho' : f =O[atTop] g') (hg' : IntegrableAtFilter g' atTop μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_atBot_atTop.mpr ⟨⟨ho.integrableAtFilter ?_ hg, ho'.integrableAtFilter ?_ hg'⟩, hf⟩ all_goals exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter theorem LocallyIntegrableOn.integrableOn_of_isBigO_atBot [IsMeasurablyGenerated (atBot (α := α))] (hf : LocallyIntegrableOn f (Iic a) μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) : IntegrableOn f (Iic a) μ := by refine integrableOn_Iic_iff_integrableAtFilter_atBot.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact ⟨Iic a, Iic_mem_atBot a, hf.aestronglyMeasurable⟩ theorem LocallyIntegrableOn.integrableOn_of_isBigO_atTop [IsMeasurablyGenerated (atTop (α := α))] (hf : LocallyIntegrableOn f (Ici a) μ) (ho : f =O[atTop] g) (hg : IntegrableAtFilter g atTop μ) : IntegrableOn f (Ici a) μ := by refine integrableOn_Ici_iff_integrableAtFilter_atTop.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact ⟨Ici a, Ici_mem_atTop a, hf.aestronglyMeasurable⟩ theorem LocallyIntegrable.integrable_of_isBigO_atBot [IsMeasurablyGenerated (atBot (α := α))] [OrderTop α] (hf : LocallyIntegrable f μ) (ho : f =O[atBot] g) (hg : IntegrableAtFilter g atBot μ) : Integrable f μ := by refine integrable_iff_integrableAtFilter_atBot.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter
Mathlib/MeasureTheory/Integral/Asymptotics.lean
105
109
theorem LocallyIntegrable.integrable_of_isBigO_atTop [IsMeasurablyGenerated (atTop (α := α))] [OrderBot α] (hf : LocallyIntegrable f μ) (ho : f =O[atTop] g) (hg : IntegrableAtFilter g atTop μ) : Integrable f μ := by
refine integrable_iff_integrableAtFilter_atTop.mpr ⟨ho.integrableAtFilter ?_ hg, hf⟩ exact hf.aestronglyMeasurable.stronglyMeasurableAtFilter
2,114
import Mathlib.MeasureTheory.Function.L1Space import Mathlib.MeasureTheory.Function.SimpleFuncDense #align_import measure_theory.function.simple_func_dense_lp from "leanprover-community/mathlib"@"5a2df4cd59cb31e97a516d4603a14bed5c2f9425" noncomputable section set_option linter.uppercaseLean3 false open Set Function Filter TopologicalSpace ENNReal EMetric Finset open scoped Classical Topology ENNReal MeasureTheory variable {α β ι E F 𝕜 : Type*} namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc section Lp variable [MeasurableSpace β] [MeasurableSpace E] [NormedAddCommGroup E] [NormedAddCommGroup F] {q : ℝ} {p : ℝ≥0∞}
Mathlib/MeasureTheory/Function/SimpleFuncDenseLp.lean
68
74
theorem nnnorm_approxOn_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s y₀ h₀ n x - f x‖₊ ≤ ‖f x - y₀‖₊ := by
have := edist_approxOn_le hf h₀ x n rw [edist_comm y₀] at this simp only [edist_nndist, nndist_eq_nnnorm] at this exact mod_cast this
2,115
import Mathlib.MeasureTheory.Function.L1Space import Mathlib.MeasureTheory.Function.SimpleFuncDense #align_import measure_theory.function.simple_func_dense_lp from "leanprover-community/mathlib"@"5a2df4cd59cb31e97a516d4603a14bed5c2f9425" noncomputable section set_option linter.uppercaseLean3 false open Set Function Filter TopologicalSpace ENNReal EMetric Finset open scoped Classical Topology ENNReal MeasureTheory variable {α β ι E F 𝕜 : Type*} namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc section Lp variable [MeasurableSpace β] [MeasurableSpace E] [NormedAddCommGroup E] [NormedAddCommGroup F] {q : ℝ} {p : ℝ≥0∞} theorem nnnorm_approxOn_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s y₀ h₀ n x - f x‖₊ ≤ ‖f x - y₀‖₊ := by have := edist_approxOn_le hf h₀ x n rw [edist_comm y₀] at this simp only [edist_nndist, nndist_eq_nnnorm] at this exact mod_cast this #align measure_theory.simple_func.nnnorm_approx_on_le MeasureTheory.SimpleFunc.nnnorm_approxOn_le
Mathlib/MeasureTheory/Function/SimpleFuncDenseLp.lean
77
82
theorem norm_approxOn_y₀_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s y₀ h₀ n x - y₀‖ ≤ ‖f x - y₀‖ + ‖f x - y₀‖ := by
have := edist_approxOn_y0_le hf h₀ x n repeat rw [edist_comm y₀, edist_eq_coe_nnnorm_sub] at this exact mod_cast this
2,115
import Mathlib.MeasureTheory.Function.L1Space import Mathlib.MeasureTheory.Function.SimpleFuncDense #align_import measure_theory.function.simple_func_dense_lp from "leanprover-community/mathlib"@"5a2df4cd59cb31e97a516d4603a14bed5c2f9425" noncomputable section set_option linter.uppercaseLean3 false open Set Function Filter TopologicalSpace ENNReal EMetric Finset open scoped Classical Topology ENNReal MeasureTheory variable {α β ι E F 𝕜 : Type*} namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc section Lp variable [MeasurableSpace β] [MeasurableSpace E] [NormedAddCommGroup E] [NormedAddCommGroup F] {q : ℝ} {p : ℝ≥0∞} theorem nnnorm_approxOn_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s y₀ h₀ n x - f x‖₊ ≤ ‖f x - y₀‖₊ := by have := edist_approxOn_le hf h₀ x n rw [edist_comm y₀] at this simp only [edist_nndist, nndist_eq_nnnorm] at this exact mod_cast this #align measure_theory.simple_func.nnnorm_approx_on_le MeasureTheory.SimpleFunc.nnnorm_approxOn_le theorem norm_approxOn_y₀_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s y₀ h₀ n x - y₀‖ ≤ ‖f x - y₀‖ + ‖f x - y₀‖ := by have := edist_approxOn_y0_le hf h₀ x n repeat rw [edist_comm y₀, edist_eq_coe_nnnorm_sub] at this exact mod_cast this #align measure_theory.simple_func.norm_approx_on_y₀_le MeasureTheory.SimpleFunc.norm_approxOn_y₀_le
Mathlib/MeasureTheory/Function/SimpleFuncDenseLp.lean
85
90
theorem norm_approxOn_zero_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} (h₀ : (0 : E) ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s 0 h₀ n x‖ ≤ ‖f x‖ + ‖f x‖ := by
have := edist_approxOn_y0_le hf h₀ x n simp [edist_comm (0 : E), edist_eq_coe_nnnorm] at this exact mod_cast this
2,115
import Mathlib.MeasureTheory.Function.L1Space import Mathlib.MeasureTheory.Function.SimpleFuncDense #align_import measure_theory.function.simple_func_dense_lp from "leanprover-community/mathlib"@"5a2df4cd59cb31e97a516d4603a14bed5c2f9425" noncomputable section set_option linter.uppercaseLean3 false open Set Function Filter TopologicalSpace ENNReal EMetric Finset open scoped Classical Topology ENNReal MeasureTheory variable {α β ι E F 𝕜 : Type*} namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc section Lp variable [MeasurableSpace β] [MeasurableSpace E] [NormedAddCommGroup E] [NormedAddCommGroup F] {q : ℝ} {p : ℝ≥0∞} theorem nnnorm_approxOn_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s y₀ h₀ n x - f x‖₊ ≤ ‖f x - y₀‖₊ := by have := edist_approxOn_le hf h₀ x n rw [edist_comm y₀] at this simp only [edist_nndist, nndist_eq_nnnorm] at this exact mod_cast this #align measure_theory.simple_func.nnnorm_approx_on_le MeasureTheory.SimpleFunc.nnnorm_approxOn_le theorem norm_approxOn_y₀_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s y₀ h₀ n x - y₀‖ ≤ ‖f x - y₀‖ + ‖f x - y₀‖ := by have := edist_approxOn_y0_le hf h₀ x n repeat rw [edist_comm y₀, edist_eq_coe_nnnorm_sub] at this exact mod_cast this #align measure_theory.simple_func.norm_approx_on_y₀_le MeasureTheory.SimpleFunc.norm_approxOn_y₀_le theorem norm_approxOn_zero_le [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} (h₀ : (0 : E) ∈ s) [SeparableSpace s] (x : β) (n : ℕ) : ‖approxOn f hf s 0 h₀ n x‖ ≤ ‖f x‖ + ‖f x‖ := by have := edist_approxOn_y0_le hf h₀ x n simp [edist_comm (0 : E), edist_eq_coe_nnnorm] at this exact mod_cast this #align measure_theory.simple_func.norm_approx_on_zero_le MeasureTheory.SimpleFunc.norm_approxOn_zero_le
Mathlib/MeasureTheory/Function/SimpleFuncDenseLp.lean
93
135
theorem tendsto_approxOn_Lp_snorm [OpensMeasurableSpace E] {f : β → E} (hf : Measurable f) {s : Set E} {y₀ : E} (h₀ : y₀ ∈ s) [SeparableSpace s] (hp_ne_top : p ≠ ∞) {μ : Measure β} (hμ : ∀ᵐ x ∂μ, f x ∈ closure s) (hi : snorm (fun x => f x - y₀) p μ < ∞) : Tendsto (fun n => snorm (⇑(approxOn f hf s y₀ h₀ n) - f) p μ) atTop (𝓝 0) := by
by_cases hp_zero : p = 0 · simpa only [hp_zero, snorm_exponent_zero] using tendsto_const_nhds have hp : 0 < p.toReal := toReal_pos hp_zero hp_ne_top suffices Tendsto (fun n => ∫⁻ x, (‖approxOn f hf s y₀ h₀ n x - f x‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) atTop (𝓝 0) by simp only [snorm_eq_lintegral_rpow_nnnorm hp_zero hp_ne_top] convert continuous_rpow_const.continuousAt.tendsto.comp this simp [zero_rpow_of_pos (_root_.inv_pos.mpr hp)] -- We simply check the conditions of the Dominated Convergence Theorem: -- (1) The function "`p`-th power of distance between `f` and the approximation" is measurable have hF_meas : ∀ n, Measurable fun x => (‖approxOn f hf s y₀ h₀ n x - f x‖₊ : ℝ≥0∞) ^ p.toReal := by simpa only [← edist_eq_coe_nnnorm_sub] using fun n => (approxOn f hf s y₀ h₀ n).measurable_bind (fun y x => edist y (f x) ^ p.toReal) fun y => (measurable_edist_right.comp hf).pow_const p.toReal -- (2) The functions "`p`-th power of distance between `f` and the approximation" are uniformly -- bounded, at any given point, by `fun x => ‖f x - y₀‖ ^ p.toReal` have h_bound : ∀ n, (fun x => (‖approxOn f hf s y₀ h₀ n x - f x‖₊ : ℝ≥0∞) ^ p.toReal) ≤ᵐ[μ] fun x => (‖f x - y₀‖₊ : ℝ≥0∞) ^ p.toReal := fun n => eventually_of_forall fun x => rpow_le_rpow (coe_mono (nnnorm_approxOn_le hf h₀ x n)) toReal_nonneg -- (3) The bounding function `fun x => ‖f x - y₀‖ ^ p.toReal` has finite integral have h_fin : (∫⁻ a : β, (‖f a - y₀‖₊ : ℝ≥0∞) ^ p.toReal ∂μ) ≠ ⊤ := (lintegral_rpow_nnnorm_lt_top_of_snorm_lt_top hp_zero hp_ne_top hi).ne -- (4) The functions "`p`-th power of distance between `f` and the approximation" tend pointwise -- to zero have h_lim : ∀ᵐ a : β ∂μ, Tendsto (fun n => (‖approxOn f hf s y₀ h₀ n a - f a‖₊ : ℝ≥0∞) ^ p.toReal) atTop (𝓝 0) := by filter_upwards [hμ] with a ha have : Tendsto (fun n => (approxOn f hf s y₀ h₀ n) a - f a) atTop (𝓝 (f a - f a)) := (tendsto_approxOn hf h₀ ha).sub tendsto_const_nhds convert continuous_rpow_const.continuousAt.tendsto.comp (tendsto_coe.mpr this.nnnorm) simp [zero_rpow_of_pos hp] -- Then we apply the Dominated Convergence Theorem simpa using tendsto_lintegral_of_dominated_convergence _ hF_meas h_bound h_fin h_lim
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import Mathlib.MeasureTheory.Function.L1Space import Mathlib.MeasureTheory.Function.SimpleFuncDense #align_import measure_theory.function.simple_func_dense_lp from "leanprover-community/mathlib"@"5a2df4cd59cb31e97a516d4603a14bed5c2f9425" noncomputable section set_option linter.uppercaseLean3 false open Set Function Filter TopologicalSpace ENNReal EMetric Finset open scoped Classical Topology ENNReal MeasureTheory variable {α β ι E F 𝕜 : Type*} namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc section SimpleFuncProperties variable [MeasurableSpace α] variable [NormedAddCommGroup E] [NormedAddCommGroup F] variable {μ : Measure α} {p : ℝ≥0∞} theorem exists_forall_norm_le (f : α →ₛ F) : ∃ C, ∀ x, ‖f x‖ ≤ C := exists_forall_le (f.map fun x => ‖x‖) #align measure_theory.simple_func.exists_forall_norm_le MeasureTheory.SimpleFunc.exists_forall_norm_le theorem memℒp_zero (f : α →ₛ E) (μ : Measure α) : Memℒp f 0 μ := memℒp_zero_iff_aestronglyMeasurable.mpr f.aestronglyMeasurable #align measure_theory.simple_func.mem_ℒp_zero MeasureTheory.SimpleFunc.memℒp_zero theorem memℒp_top (f : α →ₛ E) (μ : Measure α) : Memℒp f ∞ μ := let ⟨C, hfC⟩ := f.exists_forall_norm_le memℒp_top_of_bound f.aestronglyMeasurable C <| eventually_of_forall hfC #align measure_theory.simple_func.mem_ℒp_top MeasureTheory.SimpleFunc.memℒp_top protected theorem snorm'_eq {p : ℝ} (f : α →ₛ F) (μ : Measure α) : snorm' f p μ = (∑ y ∈ f.range, (‖y‖₊ : ℝ≥0∞) ^ p * μ (f ⁻¹' {y})) ^ (1 / p) := by have h_map : (fun a => (‖f a‖₊ : ℝ≥0∞) ^ p) = f.map fun a : F => (‖a‖₊ : ℝ≥0∞) ^ p := by simp; rfl rw [snorm', h_map, lintegral_eq_lintegral, map_lintegral] #align measure_theory.simple_func.snorm'_eq MeasureTheory.SimpleFunc.snorm'_eq
Mathlib/MeasureTheory/Function/SimpleFuncDenseLp.lean
296
322
theorem measure_preimage_lt_top_of_memℒp (hp_pos : p ≠ 0) (hp_ne_top : p ≠ ∞) (f : α →ₛ E) (hf : Memℒp f p μ) (y : E) (hy_ne : y ≠ 0) : μ (f ⁻¹' {y}) < ∞ := by
have hp_pos_real : 0 < p.toReal := ENNReal.toReal_pos hp_pos hp_ne_top have hf_snorm := Memℒp.snorm_lt_top hf rw [snorm_eq_snorm' hp_pos hp_ne_top, f.snorm'_eq, ← @ENNReal.lt_rpow_one_div_iff _ _ (1 / p.toReal) (by simp [hp_pos_real]), @ENNReal.top_rpow_of_pos (1 / (1 / p.toReal)) (by simp [hp_pos_real]), ENNReal.sum_lt_top_iff] at hf_snorm by_cases hyf : y ∈ f.range swap · suffices h_empty : f ⁻¹' {y} = ∅ by rw [h_empty, measure_empty]; exact ENNReal.coe_lt_top ext1 x rw [Set.mem_preimage, Set.mem_singleton_iff, mem_empty_iff_false, iff_false_iff] refine fun hxy => hyf ?_ rw [mem_range, Set.mem_range] exact ⟨x, hxy⟩ specialize hf_snorm y hyf rw [ENNReal.mul_lt_top_iff] at hf_snorm cases hf_snorm with | inl hf_snorm => exact hf_snorm.2 | inr hf_snorm => cases hf_snorm with | inl hf_snorm => refine absurd ?_ hy_ne simpa [hp_pos_real] using hf_snorm | inr hf_snorm => simp [hf_snorm]
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import Mathlib.MeasureTheory.Function.L1Space import Mathlib.MeasureTheory.Function.SimpleFuncDense #align_import measure_theory.function.simple_func_dense_lp from "leanprover-community/mathlib"@"5a2df4cd59cb31e97a516d4603a14bed5c2f9425" noncomputable section set_option linter.uppercaseLean3 false open Set Function Filter TopologicalSpace ENNReal EMetric Finset open scoped Classical Topology ENNReal MeasureTheory variable {α β ι E F 𝕜 : Type*} namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc namespace SimpleFunc section SimpleFuncProperties variable [MeasurableSpace α] variable [NormedAddCommGroup E] [NormedAddCommGroup F] variable {μ : Measure α} {p : ℝ≥0∞} theorem exists_forall_norm_le (f : α →ₛ F) : ∃ C, ∀ x, ‖f x‖ ≤ C := exists_forall_le (f.map fun x => ‖x‖) #align measure_theory.simple_func.exists_forall_norm_le MeasureTheory.SimpleFunc.exists_forall_norm_le theorem memℒp_zero (f : α →ₛ E) (μ : Measure α) : Memℒp f 0 μ := memℒp_zero_iff_aestronglyMeasurable.mpr f.aestronglyMeasurable #align measure_theory.simple_func.mem_ℒp_zero MeasureTheory.SimpleFunc.memℒp_zero theorem memℒp_top (f : α →ₛ E) (μ : Measure α) : Memℒp f ∞ μ := let ⟨C, hfC⟩ := f.exists_forall_norm_le memℒp_top_of_bound f.aestronglyMeasurable C <| eventually_of_forall hfC #align measure_theory.simple_func.mem_ℒp_top MeasureTheory.SimpleFunc.memℒp_top protected theorem snorm'_eq {p : ℝ} (f : α →ₛ F) (μ : Measure α) : snorm' f p μ = (∑ y ∈ f.range, (‖y‖₊ : ℝ≥0∞) ^ p * μ (f ⁻¹' {y})) ^ (1 / p) := by have h_map : (fun a => (‖f a‖₊ : ℝ≥0∞) ^ p) = f.map fun a : F => (‖a‖₊ : ℝ≥0∞) ^ p := by simp; rfl rw [snorm', h_map, lintegral_eq_lintegral, map_lintegral] #align measure_theory.simple_func.snorm'_eq MeasureTheory.SimpleFunc.snorm'_eq theorem measure_preimage_lt_top_of_memℒp (hp_pos : p ≠ 0) (hp_ne_top : p ≠ ∞) (f : α →ₛ E) (hf : Memℒp f p μ) (y : E) (hy_ne : y ≠ 0) : μ (f ⁻¹' {y}) < ∞ := by have hp_pos_real : 0 < p.toReal := ENNReal.toReal_pos hp_pos hp_ne_top have hf_snorm := Memℒp.snorm_lt_top hf rw [snorm_eq_snorm' hp_pos hp_ne_top, f.snorm'_eq, ← @ENNReal.lt_rpow_one_div_iff _ _ (1 / p.toReal) (by simp [hp_pos_real]), @ENNReal.top_rpow_of_pos (1 / (1 / p.toReal)) (by simp [hp_pos_real]), ENNReal.sum_lt_top_iff] at hf_snorm by_cases hyf : y ∈ f.range swap · suffices h_empty : f ⁻¹' {y} = ∅ by rw [h_empty, measure_empty]; exact ENNReal.coe_lt_top ext1 x rw [Set.mem_preimage, Set.mem_singleton_iff, mem_empty_iff_false, iff_false_iff] refine fun hxy => hyf ?_ rw [mem_range, Set.mem_range] exact ⟨x, hxy⟩ specialize hf_snorm y hyf rw [ENNReal.mul_lt_top_iff] at hf_snorm cases hf_snorm with | inl hf_snorm => exact hf_snorm.2 | inr hf_snorm => cases hf_snorm with | inl hf_snorm => refine absurd ?_ hy_ne simpa [hp_pos_real] using hf_snorm | inr hf_snorm => simp [hf_snorm] #align measure_theory.simple_func.measure_preimage_lt_top_of_mem_ℒp MeasureTheory.SimpleFunc.measure_preimage_lt_top_of_memℒp
Mathlib/MeasureTheory/Function/SimpleFuncDenseLp.lean
325
337
theorem memℒp_of_finite_measure_preimage (p : ℝ≥0∞) {f : α →ₛ E} (hf : ∀ y, y ≠ 0 → μ (f ⁻¹' {y}) < ∞) : Memℒp f p μ := by
by_cases hp0 : p = 0 · rw [hp0, memℒp_zero_iff_aestronglyMeasurable]; exact f.aestronglyMeasurable by_cases hp_top : p = ∞ · rw [hp_top]; exact memℒp_top f μ refine ⟨f.aestronglyMeasurable, ?_⟩ rw [snorm_eq_snorm' hp0 hp_top, f.snorm'_eq] refine ENNReal.rpow_lt_top_of_nonneg (by simp) (ENNReal.sum_lt_top_iff.mpr fun y _ => ?_).ne by_cases hy0 : y = 0 · simp [hy0, ENNReal.toReal_pos hp0 hp_top] · refine ENNReal.mul_lt_top ?_ (hf y hy0).ne exact (ENNReal.rpow_lt_top_of_nonneg ENNReal.toReal_nonneg ENNReal.coe_ne_top).ne
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import Mathlib.MeasureTheory.Function.SimpleFuncDenseLp import Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic #align_import measure_theory.function.strongly_measurable.lp from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982" open MeasureTheory Filter TopologicalSpace Function open scoped ENNReal Topology MeasureTheory namespace MeasureTheory local infixr:25 " →ₛ " => SimpleFunc variable {α G : Type*} {p : ℝ≥0∞} {m m0 : MeasurableSpace α} {μ : Measure α} [NormedAddCommGroup G] {f : α → G}
Mathlib/MeasureTheory/Function/StronglyMeasurable/Lp.lean
40
54
theorem Memℒp.finStronglyMeasurable_of_stronglyMeasurable (hf : Memℒp f p μ) (hf_meas : StronglyMeasurable f) (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ∞) : FinStronglyMeasurable f μ := by
borelize G haveI : SeparableSpace (Set.range f ∪ {0} : Set G) := hf_meas.separableSpace_range_union_singleton let fs := SimpleFunc.approxOn f hf_meas.measurable (Set.range f ∪ {0}) 0 (by simp) refine ⟨fs, ?_, ?_⟩ · have h_fs_Lp : ∀ n, Memℒp (fs n) p μ := SimpleFunc.memℒp_approxOn_range hf_meas.measurable hf exact fun n => (fs n).measure_support_lt_top_of_memℒp (h_fs_Lp n) hp_ne_zero hp_ne_top · intro x apply SimpleFunc.tendsto_approxOn apply subset_closure simp
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