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strict_concave_on.translate_left (hf : strict_concave_on 𝕜 s f) (c : E) : strict_concave_on 𝕜 ((λ z, c + z) ⁻¹' s) (f ∘ (λ z, z + c))
by simpa only [add_comm] using hf.translate_right _
lemma
strict_concave_on.translate_left
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "strict_concave_on" ]
Left translation preserves strict concavity.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_on.smul {c : 𝕜} (hc : 0 ≤ c) (hf : convex_on 𝕜 s f) : convex_on 𝕜 s (λ x, c • f x)
⟨hf.1, λ x hx y hy a b ha hb hab, calc c • f (a • x + b • y) ≤ c • (a • f x + b • f y) : smul_le_smul_of_nonneg (hf.2 hx hy ha hb hab) hc ... = a • (c • f x) + b • (c • f y) : by rw [smul_add, smul_comm c, smul_comm c]; apply_instance⟩
lemma
convex_on.smul
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "convex_on", "smul_add", "smul_le_smul_of_nonneg" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
concave_on.smul {c : 𝕜} (hc : 0 ≤ c) (hf : concave_on 𝕜 s f) : concave_on 𝕜 s (λ x, c • f x)
hf.dual.smul hc
lemma
concave_on.smul
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "concave_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_on.comp_affine_map {f : F → β} (g : E →ᵃ[𝕜] F) {s : set F} (hf : convex_on 𝕜 s f) : convex_on 𝕜 (g ⁻¹' s) (f ∘ g)
⟨hf.1.affine_preimage _, λ x hx y hy a b ha hb hab, calc (f ∘ g) (a • x + b • y) = f (g (a • x + b • y)) : rfl ... = f (a • (g x) + b • (g y)) : by rw [convex.combo_affine_apply hab] ... ≤ a • f (g x) + b • f (g y) : hf.2 hx hy ha hb hab⟩
lemma
convex_on.comp_affine_map
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "convex.combo_affine_apply", "convex_on" ]
If a function is convex on `s`, it remains convex when precomposed by an affine map.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
concave_on.comp_affine_map {f : F → β} (g : E →ᵃ[𝕜] F) {s : set F} (hf : concave_on 𝕜 s f) : concave_on 𝕜 (g ⁻¹' s) (f ∘ g)
hf.dual.comp_affine_map g
lemma
concave_on.comp_affine_map
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "concave_on" ]
If a function is concave on `s`, it remains concave when precomposed by an affine map.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_on_iff_div {f : E → β} : convex_on 𝕜 s f ↔ convex 𝕜 s ∧ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → 0 < a + b → f ((a/(a+b)) • x + (b/(a+b)) • y) ≤ (a/(a+b)) • f x + (b/(a+b)) • f y
and_congr iff.rfl ⟨begin intros h x hx y hy a b ha hb hab, apply h hx hy (div_nonneg ha hab.le) (div_nonneg hb hab.le), rw [←add_div, div_self hab.ne'], end, begin intros h x hx y hy a b ha hb hab, simpa [hab, zero_lt_one] using h hx hy ha hb, end⟩
lemma
convex_on_iff_div
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "convex", "convex_on", "div_nonneg", "div_self", "zero_lt_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
concave_on_iff_div {f : E → β} : concave_on 𝕜 s f ↔ convex 𝕜 s ∧ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → 0 < a + b → (a/(a+b)) • f x + (b/(a+b)) • f y ≤ f ((a/(a+b)) • x + (b/(a+b)) • y)
@convex_on_iff_div _ _ βᵒᵈ _ _ _ _ _ _ _
lemma
concave_on_iff_div
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "concave_on", "convex", "convex_on_iff_div" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
strict_convex_on_iff_div {f : E → β} : strict_convex_on 𝕜 s f ↔ convex 𝕜 s ∧ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → x ≠ y → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → f ((a/(a+b)) • x + (b/(a+b)) • y) < (a/(a+b)) • f x + (b/(a+b)) • f y
and_congr iff.rfl ⟨begin intros h x hx y hy hxy a b ha hb, have hab := add_pos ha hb, apply h hx hy hxy (div_pos ha hab) (div_pos hb hab), rw [←add_div, div_self hab.ne'], end, begin intros h x hx y hy hxy a b ha hb hab, simpa [hab, zero_lt_one] using h hx hy hxy ha hb, end⟩
lemma
strict_convex_on_iff_div
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "convex", "div_pos", "div_self", "strict_convex_on", "zero_lt_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
strict_concave_on_iff_div {f : E → β} : strict_concave_on 𝕜 s f ↔ convex 𝕜 s ∧ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → x ≠ y → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → (a/(a+b)) • f x + (b/(a+b)) • f y < f ((a/(a+b)) • x + (b/(a+b)) • y)
@strict_convex_on_iff_div _ _ βᵒᵈ _ _ _ _ _ _ _
lemma
strict_concave_on_iff_div
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "convex", "strict_concave_on", "strict_convex_on_iff_div" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_on.le_right_of_left_le'' (hf : convex_on 𝕜 s f) (hx : x ∈ s) (hz : z ∈ s) (hxy : x < y) (hyz : y ≤ z) (h : f x ≤ f y) : f y ≤ f z
hyz.eq_or_lt.elim (λ hyz, (congr_arg f hyz).le) (λ hyz, hf.le_right_of_left_le hx hz (Ioo_subset_open_segment ⟨hxy, hyz⟩) h)
lemma
convex_on.le_right_of_left_le''
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "Ioo_subset_open_segment", "convex_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_on.le_left_of_right_le'' (hf : convex_on 𝕜 s f) (hx : x ∈ s) (hz : z ∈ s) (hxy : x ≤ y) (hyz : y < z) (h : f z ≤ f y) : f y ≤ f x
hxy.eq_or_lt.elim (λ hxy, (congr_arg f hxy).ge) (λ hxy, hf.le_left_of_right_le hx hz (Ioo_subset_open_segment ⟨hxy, hyz⟩) h)
lemma
convex_on.le_left_of_right_le''
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "Ioo_subset_open_segment", "convex_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
concave_on.right_le_of_le_left'' (hf : concave_on 𝕜 s f) (hx : x ∈ s) (hz : z ∈ s) (hxy : x < y) (hyz : y ≤ z) (h : f y ≤ f x) : f z ≤ f y
hf.dual.le_right_of_left_le'' hx hz hxy hyz h
lemma
concave_on.right_le_of_le_left''
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "concave_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
concave_on.left_le_of_le_right'' (hf : concave_on 𝕜 s f) (hx : x ∈ s) (hz : z ∈ s) (hxy : x ≤ y) (hyz : y < z) (h : f y ≤ f z) : f x ≤ f y
hf.dual.le_left_of_right_le'' hx hz hxy hyz h
lemma
concave_on.left_le_of_le_right''
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "concave_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge (s : set E) (x : E) : ℝ
Inf {r : ℝ | 0 < r ∧ x ∈ r • s}
def
gauge
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[]
The Minkowski functional. Given a set `s` in a real vector space, `gauge s` is the functional which sends `x : E` to the smallest `r : ℝ` such that `x` is in `s` scaled by `r`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_def : gauge s x = Inf {r ∈ set.Ioi 0 | x ∈ r • s}
rfl
lemma
gauge_def
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "set.Ioi" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_def' : gauge s x = Inf {r ∈ set.Ioi 0 | r⁻¹ • x ∈ s}
begin congrm Inf (λ r, _), exact and_congr_right (λ hr, mem_smul_set_iff_inv_smul_mem₀ hr.ne' _ _), end
lemma
gauge_def'
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "set.Ioi" ]
An alternative definition of the gauge using scalar multiplication on the element rather than on the set.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_set_bdd_below : bdd_below {r : ℝ | 0 < r ∧ x ∈ r • s}
⟨0, λ r hr, hr.1.le⟩
lemma
gauge_set_bdd_below
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "bdd_below" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
absorbent.gauge_set_nonempty (absorbs : absorbent ℝ s) : {r : ℝ | 0 < r ∧ x ∈ r • s}.nonempty
let ⟨r, hr₁, hr₂⟩ := absorbs x in ⟨r, hr₁, hr₂ r (real.norm_of_nonneg hr₁.le).ge⟩
lemma
absorbent.gauge_set_nonempty
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "absorbs", "real.norm_of_nonneg" ]
If the given subset is `absorbent` then the set we take an infimum over in `gauge` is nonempty, which is useful for proving many properties about the gauge.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_mono (hs : absorbent ℝ s) (h : s ⊆ t) : gauge t ≤ gauge s
λ x, cInf_le_cInf gauge_set_bdd_below hs.gauge_set_nonempty $ λ r hr, ⟨hr.1, smul_set_mono h hr.2⟩
lemma
gauge_mono
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "cInf_le_cInf", "gauge", "gauge_set_bdd_below" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
exists_lt_of_gauge_lt (absorbs : absorbent ℝ s) (h : gauge s x < a) : ∃ b, 0 < b ∧ b < a ∧ x ∈ b • s
begin obtain ⟨b, ⟨hb, hx⟩, hba⟩ := exists_lt_of_cInf_lt absorbs.gauge_set_nonempty h, exact ⟨b, hb, hba, hx⟩, end
lemma
exists_lt_of_gauge_lt
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "absorbs", "exists_lt_of_cInf_lt", "gauge" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_zero : gauge s 0 = 0
begin rw gauge_def', by_cases (0 : E) ∈ s, { simp only [smul_zero, sep_true, h, cInf_Ioi] }, { simp only [smul_zero, sep_false, h, real.Inf_empty] } end
lemma
gauge_zero
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "cInf_Ioi", "gauge", "gauge_def'", "real.Inf_empty", "smul_zero" ]
The gauge evaluated at `0` is always zero (mathematically this requires `0` to be in the set `s` but, the real infimum of the empty set in Lean being defined as `0`, it holds unconditionally).
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_zero' : gauge (0 : set E) = 0
begin ext, rw gauge_def', obtain rfl | hx := eq_or_ne x 0, { simp only [cInf_Ioi, mem_zero, pi.zero_apply, eq_self_iff_true, sep_true, smul_zero] }, { simp only [mem_zero, pi.zero_apply, inv_eq_zero, smul_eq_zero], convert real.Inf_empty, exact eq_empty_iff_forall_not_mem.2 (λ r hr, hr.2.elim (ne_of_g...
lemma
gauge_zero'
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "cInf_Ioi", "eq_or_ne", "gauge", "gauge_def'", "inv_eq_zero", "real.Inf_empty", "smul_eq_zero", "smul_zero" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_empty : gauge (∅ : set E) = 0
by { ext, simp only [gauge_def', real.Inf_empty, mem_empty_iff_false, pi.zero_apply, sep_false] }
lemma
gauge_empty
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "gauge_def'", "real.Inf_empty" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_of_subset_zero (h : s ⊆ 0) : gauge s = 0
by { obtain rfl | rfl := subset_singleton_iff_eq.1 h, exacts [gauge_empty, gauge_zero'] }
lemma
gauge_of_subset_zero
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "gauge_empty", "gauge_zero'" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_nonneg (x : E) : 0 ≤ gauge s x
real.Inf_nonneg _ $ λ x hx, hx.1.le
lemma
gauge_nonneg
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "real.Inf_nonneg" ]
The gauge is always nonnegative.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_neg (symmetric : ∀ x ∈ s, -x ∈ s) (x : E) : gauge s (-x) = gauge s x
begin have : ∀ x, -x ∈ s ↔ x ∈ s := λ x, ⟨λ h, by simpa using symmetric _ h, symmetric x⟩, simp_rw [gauge_def', smul_neg, this] end
lemma
gauge_neg
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "gauge_def'", "smul_neg" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_neg_set_neg (x : E) : gauge (-s) (-x) = gauge s x
by simp_rw [gauge_def', smul_neg, neg_mem_neg]
lemma
gauge_neg_set_neg
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "gauge_def'", "smul_neg" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_neg_set_eq_gauge_neg (x : E) : gauge (-s) x = gauge s (-x)
by rw [← gauge_neg_set_neg, neg_neg]
lemma
gauge_neg_set_eq_gauge_neg
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "gauge_neg_set_neg" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_le_of_mem (ha : 0 ≤ a) (hx : x ∈ a • s) : gauge s x ≤ a
begin obtain rfl | ha' := ha.eq_or_lt, { rw [mem_singleton_iff.1 (zero_smul_set_subset _ hx), gauge_zero] }, { exact cInf_le gauge_set_bdd_below ⟨ha', hx⟩ } end
lemma
gauge_le_of_mem
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "cInf_le", "gauge", "gauge_set_bdd_below", "gauge_zero" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_le_eq (hs₁ : convex ℝ s) (hs₀ : (0 : E) ∈ s) (hs₂ : absorbent ℝ s) (ha : 0 ≤ a) : {x | gauge s x ≤ a} = ⋂ (r : ℝ) (H : a < r), r • s
begin ext, simp_rw [set.mem_Inter, set.mem_set_of_eq], refine ⟨λ h r hr, _, λ h, le_of_forall_pos_lt_add (λ ε hε, _)⟩, { have hr' := ha.trans_lt hr, rw mem_smul_set_iff_inv_smul_mem₀ hr'.ne', obtain ⟨δ, δ_pos, hδr, hδ⟩ := exists_lt_of_gauge_lt hs₂ (h.trans_lt hr), suffices : (r⁻¹ * δ) • δ⁻¹ • x ∈ s,...
lemma
gauge_le_eq
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "convex", "exists_lt_of_gauge_lt", "gauge", "gauge_le_of_mem", "half_pos", "inv_mul_le_iff", "mul_inv_cancel_right₀", "mul_one", "set.mem_Inter", "smul_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_lt_eq' (absorbs : absorbent ℝ s) (a : ℝ) : {x | gauge s x < a} = ⋃ (r : ℝ) (H : 0 < r) (H : r < a), r • s
begin ext, simp_rw [mem_set_of_eq, mem_Union, exists_prop], exact ⟨exists_lt_of_gauge_lt absorbs, λ ⟨r, hr₀, hr₁, hx⟩, (gauge_le_of_mem hr₀.le hx).trans_lt hr₁⟩, end
lemma
gauge_lt_eq'
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "absorbs", "exists_prop", "gauge", "gauge_le_of_mem" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_lt_eq (absorbs : absorbent ℝ s) (a : ℝ) : {x | gauge s x < a} = ⋃ (r ∈ set.Ioo 0 (a : ℝ)), r • s
begin ext, simp_rw [mem_set_of_eq, mem_Union, exists_prop, mem_Ioo, and_assoc], exact ⟨exists_lt_of_gauge_lt absorbs, λ ⟨r, hr₀, hr₁, hx⟩, (gauge_le_of_mem hr₀.le hx).trans_lt hr₁⟩, end
lemma
gauge_lt_eq
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "absorbs", "exists_prop", "gauge", "gauge_le_of_mem", "set.Ioo" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_lt_one_subset_self (hs : convex ℝ s) (h₀ : (0 : E) ∈ s) (absorbs : absorbent ℝ s) : {x | gauge s x < 1} ⊆ s
begin rw gauge_lt_eq absorbs, refine set.Union₂_subset (λ r hr _, _), rintro ⟨y, hy, rfl⟩, exact hs.smul_mem_of_zero_mem h₀ hy (Ioo_subset_Icc_self hr), end
lemma
gauge_lt_one_subset_self
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "absorbs", "convex", "gauge", "gauge_lt_eq", "set.Union₂_subset" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_le_one_of_mem {x : E} (hx : x ∈ s) : gauge s x ≤ 1
gauge_le_of_mem zero_le_one $ by rwa one_smul
lemma
gauge_le_one_of_mem
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "gauge_le_of_mem", "one_smul", "zero_le_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
self_subset_gauge_le_one : s ⊆ {x | gauge s x ≤ 1}
λ x, gauge_le_one_of_mem
lemma
self_subset_gauge_le_one
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "gauge_le_one_of_mem" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex.gauge_le (hs : convex ℝ s) (h₀ : (0 : E) ∈ s) (absorbs : absorbent ℝ s) (a : ℝ) : convex ℝ {x | gauge s x ≤ a}
begin by_cases ha : 0 ≤ a, { rw gauge_le_eq hs h₀ absorbs ha, exact convex_Inter (λ i, convex_Inter (λ hi, hs.smul _)) }, { convert convex_empty, exact eq_empty_iff_forall_not_mem.2 (λ x hx, ha $ (gauge_nonneg _).trans hx) } end
lemma
convex.gauge_le
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "absorbs", "convex", "convex_Inter", "convex_empty", "gauge", "gauge_le_eq", "gauge_nonneg" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
balanced.star_convex (hs : balanced ℝ s) : star_convex ℝ 0 s
star_convex_zero_iff.2 $ λ x hx a ha₀ ha₁, hs _ (by rwa real.norm_of_nonneg ha₀) (smul_mem_smul_set hx)
lemma
balanced.star_convex
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "balanced", "real.norm_of_nonneg", "star_convex" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
le_gauge_of_not_mem (hs₀ : star_convex ℝ 0 s) (hs₂ : absorbs ℝ s {x}) (hx : x ∉ a • s) : a ≤ gauge s x
begin rw star_convex_zero_iff at hs₀, obtain ⟨r, hr, h⟩ := hs₂, refine le_cInf ⟨r, hr, singleton_subset_iff.1 $ h _ (real.norm_of_nonneg hr.le).ge⟩ _, rintro b ⟨hb, x, hx', rfl⟩, refine not_lt.1 (λ hba, hx _), have ha := hb.trans hba, refine ⟨(a⁻¹ * b) • x, hs₀ hx' (by positivity) _, _⟩, { rw ←div_eq_in...
lemma
le_gauge_of_not_mem
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbs", "div_le_one_of_le", "gauge", "le_cInf", "mul_inv_cancel_left₀", "real.norm_of_nonneg", "star_convex", "star_convex_zero_iff" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
one_le_gauge_of_not_mem (hs₁ : star_convex ℝ 0 s) (hs₂ : absorbs ℝ s {x}) (hx : x ∉ s) : 1 ≤ gauge s x
le_gauge_of_not_mem hs₁ hs₂ $ by rwa one_smul
lemma
one_le_gauge_of_not_mem
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbs", "gauge", "le_gauge_of_not_mem", "one_smul", "star_convex" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_smul_of_nonneg [mul_action_with_zero α E] [is_scalar_tower α ℝ (set E)] {s : set E} {a : α} (ha : 0 ≤ a) (x : E) : gauge s (a • x) = a • gauge s x
begin obtain rfl | ha' := ha.eq_or_lt, { rw [zero_smul, gauge_zero, zero_smul] }, rw [gauge_def', gauge_def', ←real.Inf_smul_of_nonneg ha], congr' 1, ext r, simp_rw [set.mem_smul_set, set.mem_sep_iff], split, { rintro ⟨hr, hx⟩, simp_rw mem_Ioi at ⊢ hr, rw ←mem_smul_set_iff_inv_smul_mem₀ hr.ne' a...
lemma
gauge_smul_of_nonneg
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "gauge_def'", "gauge_zero", "inv_inv", "inv_ne_zero", "is_scalar_tower", "mul_action_with_zero", "set.mem_sep_iff", "set.mem_smul_set", "smul_assoc", "smul_inv_smul₀", "zero_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_smul_left_of_nonneg [mul_action_with_zero α E] [smul_comm_class α ℝ ℝ] [is_scalar_tower α ℝ ℝ] [is_scalar_tower α ℝ E] {s : set E} {a : α} (ha : 0 ≤ a) : gauge (a • s) = a⁻¹ • gauge s
begin obtain rfl | ha' := ha.eq_or_lt, { rw [inv_zero, zero_smul, gauge_of_subset_zero (zero_smul_set_subset _)] }, ext, rw [gauge_def', pi.smul_apply, gauge_def', ←real.Inf_smul_of_nonneg (inv_nonneg.2 ha)], congr' 1, ext r, simp_rw [set.mem_smul_set, set.mem_sep_iff], split, { rintro ⟨hr, y, hy, h⟩,...
lemma
gauge_smul_left_of_nonneg
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge", "gauge_def'", "gauge_of_subset_zero", "inv_inv", "inv_smul_smul₀", "inv_zero", "is_scalar_tower", "mul_action_with_zero", "pi.smul_apply", "set.mem_sep_iff", "set.mem_smul_set", "smul_assoc", "smul_comm_class", "smul_inv₀", "zero_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_smul_left [module α E] [smul_comm_class α ℝ ℝ] [is_scalar_tower α ℝ ℝ] [is_scalar_tower α ℝ E] {s : set E} (symmetric : ∀ x ∈ s, -x ∈ s) (a : α) : gauge (a • s) = |a|⁻¹ • gauge s
begin rw ←gauge_smul_left_of_nonneg (abs_nonneg a), obtain h | h := abs_choice a, { rw h }, { rw [h, set.neg_smul_set, ←set.smul_set_neg], congr, ext y, refine ⟨symmetric _, λ hy, _⟩, rw ←neg_neg y, exact symmetric _ hy }, { apply_instance } end
lemma
gauge_smul_left
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "abs_choice", "abs_nonneg", "gauge", "is_scalar_tower", "module", "set.neg_smul_set", "smul_comm_class" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_norm_smul (hs : balanced 𝕜 s) (r : 𝕜) (x : E) : gauge s (‖r‖ • x) = gauge s (r • x)
begin unfold gauge, congr' with θ, rw @is_R_or_C.real_smul_eq_coe_smul 𝕜, refine and_congr_right (λ hθ, (hs.smul _).mem_smul_iff _), rw [is_R_or_C.norm_of_real, abs_norm], end
lemma
gauge_norm_smul
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "abs_norm", "balanced", "gauge", "is_R_or_C.norm_of_real", "is_R_or_C.real_smul_eq_coe_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_smul (hs : balanced 𝕜 s) (r : 𝕜) (x : E) : gauge s (r • x) = ‖r‖ * gauge s x
by { rw [←smul_eq_mul, ←gauge_smul_of_nonneg (norm_nonneg r), gauge_norm_smul hs], apply_instance }
lemma
gauge_smul
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "balanced", "gauge", "gauge_norm_smul" ]
If `s` is balanced, then the Minkowski functional is ℂ-homogeneous.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
interior_subset_gauge_lt_one (s : set E) : interior s ⊆ {x | gauge s x < 1}
begin intros x hx, let f : ℝ → E := λ t, t • x, have hf : continuous f, { continuity }, let s' := f ⁻¹' (interior s), have hs' : is_open s' := hf.is_open_preimage _ is_open_interior, have one_mem : (1 : ℝ) ∈ s', { simpa only [s', f, set.mem_preimage, one_smul] }, obtain ⟨ε, hε₀, hε⟩ := (metric.nhds_ba...
lemma
interior_subset_gauge_lt_one
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "continuity", "continuous", "gauge", "gauge_le_of_mem", "interior", "interior_subset", "inv_lt_one_iff", "is_open", "is_open_interior", "lt_one_add", "one_smul", "real.closed_ball_eq_Icc", "set.mem_preimage" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_lt_one_eq_self_of_open (hs₁ : convex ℝ s) (hs₀ : (0 : E) ∈ s) (hs₂ : is_open s) : {x | gauge s x < 1} = s
begin refine (gauge_lt_one_subset_self hs₁ ‹_› $ absorbent_nhds_zero $ hs₂.mem_nhds hs₀).antisymm _, convert interior_subset_gauge_lt_one s, exact hs₂.interior_eq.symm, end
lemma
gauge_lt_one_eq_self_of_open
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent_nhds_zero", "convex", "gauge", "gauge_lt_one_subset_self", "interior_subset_gauge_lt_one", "is_open" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_lt_one_of_mem_of_open (hs₁ : convex ℝ s) (hs₀ : (0 : E) ∈ s) (hs₂ : is_open s) {x : E} (hx : x ∈ s) : gauge s x < 1
by rwa ←gauge_lt_one_eq_self_of_open hs₁ hs₀ hs₂ at hx
lemma
gauge_lt_one_of_mem_of_open
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "convex", "gauge", "is_open" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_lt_of_mem_smul (x : E) (ε : ℝ) (hε : 0 < ε) (hs₀ : (0 : E) ∈ s) (hs₁ : convex ℝ s) (hs₂ : is_open s) (hx : x ∈ ε • s) : gauge s x < ε
begin have : ε⁻¹ • x ∈ s, { rwa ←mem_smul_set_iff_inv_smul_mem₀ hε.ne' }, have h_gauge_lt := gauge_lt_one_of_mem_of_open hs₁ hs₀ hs₂ this, rwa [gauge_smul_of_nonneg (inv_nonneg.2 hε.le), smul_eq_mul, inv_mul_lt_iff hε, mul_one] at h_gauge_lt, apply_instance end
lemma
gauge_lt_of_mem_smul
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "convex", "gauge", "gauge_lt_one_of_mem_of_open", "gauge_smul_of_nonneg", "inv_mul_lt_iff", "is_open", "mul_one", "smul_eq_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_add_le (hs : convex ℝ s) (absorbs : absorbent ℝ s) (x y : E) : gauge s (x + y) ≤ gauge s x + gauge s y
begin refine le_of_forall_pos_lt_add (λ ε hε, _), obtain ⟨a, ha, ha', hx⟩ := exists_lt_of_gauge_lt absorbs (lt_add_of_pos_right (gauge s x) (half_pos hε)), obtain ⟨b, hb, hb', hy⟩ := exists_lt_of_gauge_lt absorbs (lt_add_of_pos_right (gauge s y) (half_pos hε)), rw mem_smul_set_iff_inv_smul_mem₀ ha.ne' a...
lemma
gauge_add_le
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "absorbs", "convex", "exists_lt_of_gauge_lt", "gauge", "gauge_le_of_mem", "half_pos", "mul_inv_cancel", "one_div", "smul_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_seminorm (hs₀ : balanced 𝕜 s) (hs₁ : convex ℝ s) (hs₂ : absorbent ℝ s) : seminorm 𝕜 E
seminorm.of (gauge s) (gauge_add_le hs₁ hs₂) (gauge_smul hs₀)
def
gauge_seminorm
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "balanced", "convex", "gauge", "gauge_add_le", "gauge_smul", "seminorm", "seminorm.of" ]
`gauge s` as a seminorm when `s` is balanced, convex and absorbent.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_seminorm_lt_one_of_open (hs : is_open s) {x : E} (hx : x ∈ s) : gauge_seminorm hs₀ hs₁ hs₂ x < 1
gauge_lt_one_of_mem_of_open hs₁ hs₂.zero_mem hs hx
lemma
gauge_seminorm_lt_one_of_open
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge_lt_one_of_mem_of_open", "gauge_seminorm", "is_open" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_seminorm_ball_one (hs : is_open s) : (gauge_seminorm hs₀ hs₁ hs₂).ball 0 1 = s
begin rw seminorm.ball_zero_eq, exact gauge_lt_one_eq_self_of_open hs₁ hs₂.zero_mem hs end
lemma
gauge_seminorm_ball_one
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "gauge_lt_one_eq_self_of_open", "gauge_seminorm", "is_open", "seminorm.ball_zero_eq" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
seminorm.gauge_ball (p : seminorm ℝ E) : gauge (p.ball 0 1) = p
begin ext, obtain hp | hp := {r : ℝ | 0 < r ∧ x ∈ r • p.ball 0 1}.eq_empty_or_nonempty, { rw [gauge, hp, real.Inf_empty], by_contra, have hpx : 0 < p x := (map_nonneg _ _).lt_of_ne h, have hpx₂ : 0 < 2 * p x := mul_pos zero_lt_two hpx, refine hp.subset ⟨hpx₂, (2 * p x)⁻¹ • x, _, smul_inv_smul₀ hpx...
lemma
seminorm.gauge_ball
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "abs_of_pos", "by_contra", "gauge", "inv_mul_lt_iff", "is_glb.cInf_eq", "lt_mul_of_one_lt_left", "map_nonneg", "mul_le_of_le_one_right", "mul_one", "one_lt_two", "real.Inf_empty", "real.norm_eq_abs", "seminorm", "smul_inv_smul₀", "zero_lt_two" ]
Any seminorm arises as the gauge of its unit ball.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
seminorm.gauge_seminorm_ball (p : seminorm ℝ E) : gauge_seminorm (p.balanced_ball_zero 1) (p.convex_ball 0 1) (p.absorbent_ball_zero zero_lt_one) = p
fun_like.coe_injective p.gauge_ball
lemma
seminorm.gauge_seminorm_ball
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "fun_like.coe_injective", "gauge_seminorm", "seminorm", "zero_lt_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_unit_ball (x : E) : gauge (metric.ball (0 : E) 1) x = ‖x‖
by rw [← ball_norm_seminorm ℝ, seminorm.gauge_ball, coe_norm_seminorm]
lemma
gauge_unit_ball
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "ball_norm_seminorm", "coe_norm_seminorm", "gauge", "metric.ball", "seminorm.gauge_ball" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
gauge_ball (hr : 0 < r) (x : E) : gauge (metric.ball (0 : E) r) x = ‖x‖ / r
begin rw [←smul_unit_ball_of_pos hr, gauge_smul_left, pi.smul_apply, gauge_unit_ball, smul_eq_mul, abs_of_nonneg hr.le, div_eq_inv_mul], simp_rw [mem_ball_zero_iff, norm_neg], exact λ _, id, end
lemma
gauge_ball
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "abs_of_nonneg", "div_eq_inv_mul", "gauge", "gauge_smul_left", "gauge_unit_ball", "metric.ball", "pi.smul_apply", "smul_eq_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mul_gauge_le_norm (hs : metric.ball (0 : E) r ⊆ s) : r * gauge s x ≤ ‖x‖
begin obtain hr | hr := le_or_lt r 0, { exact (mul_nonpos_of_nonpos_of_nonneg hr $ gauge_nonneg _).trans (norm_nonneg _) }, rw [mul_comm, ←le_div_iff hr, ←gauge_ball hr], exact gauge_mono (absorbent_ball_zero hr) hs x, end
lemma
mul_gauge_le_norm
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent_ball_zero", "gauge", "gauge_mono", "gauge_nonneg", "metric.ball", "mul_comm", "mul_nonpos_of_nonpos_of_nonneg" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex.lipschitz_with_gauge {r : ℝ≥0} (hc : convex ℝ s) (hr : 0 < r) (hs : metric.ball (0 : E) r ⊆ s) : lipschitz_with r⁻¹ (gauge s)
have absorbent ℝ (metric.ball (0 : E) r) := absorbent_ball_zero hr, lipschitz_with.of_le_add_mul _ $ λ x y, calc gauge s x = gauge s (y + (x - y)) : by simp ... ≤ gauge s y + gauge s (x - y) : gauge_add_le hc (this.subset hs) _ _ ... ≤ gauge s y + ‖x - y‖ / r : add_le_add_left ((gauge_mono this hs (x - y)).tr...
lemma
convex.lipschitz_with_gauge
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "absorbent", "absorbent_ball_zero", "convex", "div_eq_inv_mul", "gauge", "gauge_add_le", "gauge_ball", "gauge_mono", "lipschitz_with", "lipschitz_with.of_le_add_mul", "metric.ball" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex.uniform_continuous_gauge (hc : convex ℝ s) (h₀ : s ∈ 𝓝 (0 : E)) : uniform_continuous (gauge s)
begin obtain ⟨r, hr₀, hr⟩ := metric.mem_nhds_iff.1 h₀, lift r to ℝ≥0 using le_of_lt hr₀, exact (hc.lipschitz_with_gauge hr₀ hr).uniform_continuous end
lemma
convex.uniform_continuous_gauge
analysis.convex
src/analysis/convex/gauge.lean
[ "analysis.convex.basic", "analysis.normed_space.pointwise", "analysis.seminorm", "data.is_R_or_C.basic", "tactic.congrm" ]
[ "convex", "gauge", "lift", "uniform_continuous" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull : closure_operator (set E)
closure_operator.mk₃ (λ s, ⋂ (t : set E) (hst : s ⊆ t) (ht : convex 𝕜 t), t) (convex 𝕜) (λ s, set.subset_Inter (λ t, set.subset_Inter $ λ hst, set.subset_Inter $ λ ht, hst)) (λ s, convex_Inter $ λ t, convex_Inter $ λ ht, convex_Inter id) (λ s t hst ht, set.Inter_subset_of_subset t $ set.Inter_subset_of_subs...
def
convex_hull
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "closure_operator", "closure_operator.mk₃", "convex", "convex_Inter", "set.Inter_subset", "set.Inter_subset_of_subset", "set.subset_Inter" ]
The convex hull of a set `s` is the minimal convex set that includes `s`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
subset_convex_hull : s ⊆ convex_hull 𝕜 s
(convex_hull 𝕜).le_closure s
lemma
subset_convex_hull
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_convex_hull : convex 𝕜 (convex_hull 𝕜 s)
closure_operator.closure_mem_mk₃ s
lemma
convex_convex_hull
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "closure_operator.closure_mem_mk₃", "convex", "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_eq_Inter : convex_hull 𝕜 s = ⋂ (t : set E) (hst : s ⊆ t) (ht : convex 𝕜 t), t
rfl
lemma
convex_hull_eq_Inter
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex", "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mem_convex_hull_iff : x ∈ convex_hull 𝕜 s ↔ ∀ t, s ⊆ t → convex 𝕜 t → x ∈ t
by simp_rw [convex_hull_eq_Inter, mem_Inter]
lemma
mem_convex_hull_iff
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex", "convex_hull", "convex_hull_eq_Inter" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_min (hst : s ⊆ t) (ht : convex 𝕜 t) : convex_hull 𝕜 s ⊆ t
closure_operator.closure_le_mk₃_iff (show s ≤ t, from hst) ht
lemma
convex_hull_min
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "closure_operator.closure_le_mk₃_iff", "convex", "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex.convex_hull_subset_iff (ht : convex 𝕜 t) : convex_hull 𝕜 s ⊆ t ↔ s ⊆ t
⟨(subset_convex_hull _ _).trans, λ h, convex_hull_min h ht⟩
lemma
convex.convex_hull_subset_iff
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex", "convex_hull", "convex_hull_min", "subset_convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_mono (hst : s ⊆ t) : convex_hull 𝕜 s ⊆ convex_hull 𝕜 t
(convex_hull 𝕜).monotone hst
lemma
convex_hull_mono
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_hull", "monotone" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex.convex_hull_eq (hs : convex 𝕜 s) : convex_hull 𝕜 s = s
closure_operator.mem_mk₃_closed hs
lemma
convex.convex_hull_eq
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "closure_operator.mem_mk₃_closed", "convex", "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_univ : convex_hull 𝕜 (univ : set E) = univ
closure_operator.closure_top (convex_hull 𝕜)
lemma
convex_hull_univ
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "closure_operator.closure_top", "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_empty : convex_hull 𝕜 (∅ : set E) = ∅
convex_empty.convex_hull_eq
lemma
convex_hull_empty
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_empty_iff : convex_hull 𝕜 s = ∅ ↔ s = ∅
begin split, { intro h, rw [←set.subset_empty_iff, ←h], exact subset_convex_hull 𝕜 _ }, { rintro rfl, exact convex_hull_empty } end
lemma
convex_hull_empty_iff
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_hull", "convex_hull_empty", "subset_convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_nonempty_iff : (convex_hull 𝕜 s).nonempty ↔ s.nonempty
begin rw [nonempty_iff_ne_empty, nonempty_iff_ne_empty, ne.def, ne.def], exact not_congr convex_hull_empty_iff, end
lemma
convex_hull_nonempty_iff
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_hull", "convex_hull_empty_iff" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
segment_subset_convex_hull (hx : x ∈ s) (hy : y ∈ s) : segment 𝕜 x y ⊆ convex_hull 𝕜 s
(convex_convex_hull _ _).segment_subset (subset_convex_hull _ _ hx) (subset_convex_hull _ _ hy)
lemma
segment_subset_convex_hull
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_convex_hull", "convex_hull", "segment", "subset_convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_singleton (x : E) : convex_hull 𝕜 ({x} : set E) = {x}
(convex_singleton x).convex_hull_eq
lemma
convex_hull_singleton
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_hull", "convex_hull_eq", "convex_singleton" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_zero : convex_hull 𝕜 (0 : set E) = 0
convex_hull_singleton 0
lemma
convex_hull_zero
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_hull", "convex_hull_singleton" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_pair (x y : E) : convex_hull 𝕜 {x, y} = segment 𝕜 x y
begin refine (convex_hull_min _ $ convex_segment _ _).antisymm (segment_subset_convex_hull (mem_insert _ _) $ mem_insert_of_mem _ $ mem_singleton _), rw [insert_subset, singleton_subset_iff], exact ⟨left_mem_segment _ _ _, right_mem_segment _ _ _⟩, end
lemma
convex_hull_pair
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_hull", "convex_hull_min", "convex_segment", "right_mem_segment", "segment", "segment_subset_convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_convex_hull_union_left (s t : set E) : convex_hull 𝕜 (convex_hull 𝕜 s ∪ t) = convex_hull 𝕜 (s ∪ t)
closure_operator.closure_sup_closure_left _ _ _
lemma
convex_hull_convex_hull_union_left
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "closure_operator.closure_sup_closure_left", "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_convex_hull_union_right (s t : set E) : convex_hull 𝕜 (s ∪ convex_hull 𝕜 t) = convex_hull 𝕜 (s ∪ t)
closure_operator.closure_sup_closure_right _ _ _
lemma
convex_hull_convex_hull_union_right
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "closure_operator.closure_sup_closure_right", "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex.convex_remove_iff_not_mem_convex_hull_remove {s : set E} (hs : convex 𝕜 s) (x : E) : convex 𝕜 (s \ {x}) ↔ x ∉ convex_hull 𝕜 (s \ {x})
begin split, { rintro hsx hx, rw hsx.convex_hull_eq at hx, exact hx.2 (mem_singleton _) }, rintro hx, suffices h : s \ {x} = convex_hull 𝕜 (s \ {x}), { convert convex_convex_hull 𝕜 _ }, exact subset.antisymm (subset_convex_hull 𝕜 _) (λ y hy, ⟨convex_hull_min (diff_subset _ _) hs hy, by { rintro...
lemma
convex.convex_remove_iff_not_mem_convex_hull_remove
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex", "convex_convex_hull", "convex_hull", "subset_convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_linear_map.convex_hull_image {f : E → F} (hf : is_linear_map 𝕜 f) (s : set E) : convex_hull 𝕜 (f '' s) = f '' convex_hull 𝕜 s
set.subset.antisymm (convex_hull_min (image_subset _ (subset_convex_hull 𝕜 s)) $ (convex_convex_hull 𝕜 s).is_linear_image hf) (image_subset_iff.2 $ convex_hull_min (image_subset_iff.1 $ subset_convex_hull 𝕜 _) ((convex_convex_hull 𝕜 _).is_linear_preimage hf))
lemma
is_linear_map.convex_hull_image
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_convex_hull", "convex_hull", "convex_hull_min", "is_linear_map", "set.subset.antisymm", "subset_convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_map.convex_hull_image (f : E →ₗ[𝕜] F) (s : set E) : convex_hull 𝕜 (f '' s) = f '' convex_hull 𝕜 s
f.is_linear.convex_hull_image s
lemma
linear_map.convex_hull_image
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_smul (a : 𝕜) (s : set E) : convex_hull 𝕜 (a • s) = a • convex_hull 𝕜 s
(linear_map.lsmul _ _ a).convex_hull_image _
lemma
convex_hull_smul
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_hull", "linear_map.lsmul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
affine_map.image_convex_hull (f : E →ᵃ[𝕜] F) : f '' convex_hull 𝕜 s = convex_hull 𝕜 (f '' s)
begin apply set.subset.antisymm, { rw set.image_subset_iff, refine convex_hull_min _ ((convex_convex_hull 𝕜 (⇑f '' s)).affine_preimage f), rw ← set.image_subset_iff, exact subset_convex_hull 𝕜 (f '' s) }, { exact convex_hull_min (set.image_subset _ (subset_convex_hull 𝕜 s)) ((convex_convex_hull...
lemma
affine_map.image_convex_hull
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "convex_convex_hull", "convex_hull", "convex_hull_min", "set.image_subset", "set.image_subset_iff", "set.subset.antisymm", "subset_convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_subset_affine_span : convex_hull 𝕜 s ⊆ (affine_span 𝕜 s : set E)
convex_hull_min (subset_affine_span 𝕜 s) (affine_span 𝕜 s).convex
lemma
convex_hull_subset_affine_span
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "affine_span", "convex", "convex_hull", "convex_hull_min", "subset_affine_span" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
affine_span_convex_hull : affine_span 𝕜 (convex_hull 𝕜 s) = affine_span 𝕜 s
begin refine le_antisymm _ (affine_span_mono 𝕜 (subset_convex_hull 𝕜 s)), rw affine_span_le, exact convex_hull_subset_affine_span s, end
lemma
affine_span_convex_hull
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "affine_span", "affine_span_le", "affine_span_mono", "convex_hull", "convex_hull_subset_affine_span", "subset_convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_neg (s : set E) : convex_hull 𝕜 (-s) = -convex_hull 𝕜 s
by { simp_rw ←image_neg, exact (affine_map.image_convex_hull _ $ -1).symm }
lemma
convex_hull_neg
analysis.convex
src/analysis/convex/hull.lean
[ "analysis.convex.basic", "order.closure" ]
[ "affine_map.image_convex_hull", "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent (p : ι → E) : Prop
∀ (s : set ι) (x : ι), p x ∈ convex_hull 𝕜 (p '' s) → x ∈ s
def
convex_independent
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_hull" ]
An indexed family is said to be convex independent if every point only belongs to convex hulls of sets containing it.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
subsingleton.convex_independent [subsingleton ι] (p : ι → E) : convex_independent 𝕜 p
λ s x hx, begin have : (convex_hull 𝕜 (p '' s)).nonempty := ⟨p x, hx⟩, rw [convex_hull_nonempty_iff, set.nonempty_image_iff] at this, rwa subsingleton.mem_iff_nonempty, end
lemma
subsingleton.convex_independent
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_hull", "convex_hull_nonempty_iff", "convex_independent", "set.nonempty_image_iff", "subsingleton.mem_iff_nonempty" ]
A family with at most one point is convex independent.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent.injective {p : ι → E} (hc : convex_independent 𝕜 p) : function.injective p
begin refine λ i j hij, hc {j} i _, rw [hij, set.image_singleton, convex_hull_singleton], exact set.mem_singleton _, end
lemma
convex_independent.injective
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_hull_singleton", "convex_independent", "set.image_singleton", "set.mem_singleton" ]
A convex independent family is injective.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent.comp_embedding {ι' : Type*} (f : ι' ↪ ι) {p : ι → E} (hc : convex_independent 𝕜 p) : convex_independent 𝕜 (p ∘ f)
begin intros s x hx, rw ←f.injective.mem_set_image, exact hc _ _ (by rwa set.image_image), end
lemma
convex_independent.comp_embedding
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_independent", "set.image_image" ]
If a family is convex independent, so is any subfamily given by composition of an embedding into index type with the original family.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent.subtype {p : ι → E} (hc : convex_independent 𝕜 p) (s : set ι) : convex_independent 𝕜 (λ i : s, p i)
hc.comp_embedding (embedding.subtype _)
lemma
convex_independent.subtype
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_independent" ]
If a family is convex independent, so is any subfamily indexed by a subtype of the index type.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent.range {p : ι → E} (hc : convex_independent 𝕜 p) : convex_independent 𝕜 (λ x, x : set.range p → E)
begin let f : set.range p → ι := λ x, x.property.some, have hf : ∀ x, p (f x) = x := λ x, x.property.some_spec, let fe : set.range p ↪ ι := ⟨f, λ x₁ x₂ he, subtype.ext (hf x₁ ▸ hf x₂ ▸ he ▸ rfl)⟩, convert hc.comp_embedding fe, ext, rw [embedding.coe_fn_mk, comp_app, hf], end
lemma
convex_independent.range
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_independent", "set.range", "subtype.ext" ]
If an indexed family of points is convex independent, so is the corresponding set of points.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent.mono {s t : set E} (hc : convex_independent 𝕜 (λ x, x : t → E)) (hs : s ⊆ t) : convex_independent 𝕜 (λ x, x : s → E)
hc.comp_embedding (s.embedding_of_subset t hs)
lemma
convex_independent.mono
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_independent" ]
A subset of a convex independent set of points is convex independent as well.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
function.injective.convex_independent_iff_set {p : ι → E} (hi : function.injective p) : convex_independent 𝕜 (λ x, x : set.range p → E) ↔ convex_independent 𝕜 p
⟨λ hc, hc.comp_embedding (⟨λ i, ⟨p i, set.mem_range_self _⟩, λ x y h, hi (subtype.mk_eq_mk.1 h)⟩ : ι ↪ set.range p), convex_independent.range⟩
lemma
function.injective.convex_independent_iff_set
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_independent", "set.mem_range_self", "set.range" ]
The range of an injective indexed family of points is convex independent iff that family is.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent.mem_convex_hull_iff {p : ι → E} (hc : convex_independent 𝕜 p) (s : set ι) (i : ι) : p i ∈ convex_hull 𝕜 (p '' s) ↔ i ∈ s
⟨hc _ _, λ hi, subset_convex_hull 𝕜 _ (set.mem_image_of_mem p hi)⟩
lemma
convex_independent.mem_convex_hull_iff
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_hull", "convex_independent", "set.mem_image_of_mem", "subset_convex_hull" ]
If a family is convex independent, a point in the family is in the convex hull of some of the points given by a subset of the index type if and only if the point's index is in this subset.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent_iff_not_mem_convex_hull_diff {p : ι → E} : convex_independent 𝕜 p ↔ ∀ i s, p i ∉ convex_hull 𝕜 (p '' (s \ {i}))
begin refine ⟨λ hc i s h, _, λ h s i hi, _⟩, { rw hc.mem_convex_hull_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 } end
lemma
convex_independent_iff_not_mem_convex_hull_diff
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "by_contra", "convex_hull", "convex_independent", "set.diff_singleton_eq_self", "set.mem_singleton" ]
If a family is convex independent, a point in the family is not in the convex hull of the other points. See `convex_independent_set_iff_not_mem_convex_hull_diff` for the `set` version.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent_set_iff_inter_convex_hull_subset {s : set E} : convex_independent 𝕜 (λ x, x : s → E) ↔ ∀ t, t ⊆ s → s ∩ convex_hull 𝕜 t ⊆ t
begin split, { rintro hc t h x ⟨hxs, hxt⟩, refine hc {x | ↑x ∈ t} ⟨x, hxs⟩ _, rw subtype.coe_image_of_subset h, exact hxt }, { intros hc t x h, rw ←subtype.coe_injective.mem_set_image, exact hc (t.image coe) (subtype.coe_image_subset s t) ⟨x.prop, h⟩ } end
lemma
convex_independent_set_iff_inter_convex_hull_subset
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_hull", "convex_independent", "subtype.coe_image_of_subset", "subtype.coe_image_subset" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent_set_iff_not_mem_convex_hull_diff {s : set E} : convex_independent 𝕜 (λ x, x : s → E) ↔ ∀ x ∈ s, x ∉ convex_hull 𝕜 (s \ {x})
begin rw convex_independent_set_iff_inter_convex_hull_subset, split, { 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 (convex_hull_mono (set.subset_diff_singleton ht h) hxt) } end
lemma
convex_independent_set_iff_not_mem_convex_hull_diff
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "by_contra", "convex_hull", "convex_hull_mono", "convex_independent", "convex_independent_set_iff_inter_convex_hull_subset", "set.diff_subset", "set.mem_singleton", "set.subset_diff_singleton" ]
If a set is convex independent, a point in the set is not in the convex hull of the other points. See `convex_independent_iff_not_mem_convex_hull_diff` for the indexed family version.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_independent_iff_finset {p : ι → E} : convex_independent 𝕜 p ↔ ∀ (s : finset ι) (x : ι), p x ∈ convex_hull 𝕜 (s.image p : set E) → x ∈ s
begin refine ⟨λ hc s x hx, hc s x _, λ h s x hx, _⟩, { rwa finset.coe_image at hx }, have hp : injective p, { rintro a b hab, rw ←mem_singleton, refine h {b} a _, rw [hab, image_singleton, coe_singleton, convex_hull_singleton], exact set.mem_singleton _ }, rw convex_hull_eq_union_convex_hull_f...
lemma
convex_independent_iff_finset
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex_hull", "convex_hull_eq_union_convex_hull_finite_subsets", "convex_hull_singleton", "convex_independent", "finset", "finset.coe_image", "set.mem_Union", "set.mem_singleton" ]
To check convex independence, one only has to check finsets thanks to Carathéodory's theorem.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex.convex_independent_extreme_points (hs : convex 𝕜 s) : convex_independent 𝕜 (λ p, p : s.extreme_points 𝕜 → E)
convex_independent_set_iff_not_mem_convex_hull_diff.2 $ λ x hx h, (extreme_points_convex_hull_subset (inter_extreme_points_subset_extreme_points_of_subset (convex_hull_min ((set.diff_subset _ _).trans extreme_points_subset) hs) ⟨h, hx⟩)).2 (set.mem_singleton _)
lemma
convex.convex_independent_extreme_points
analysis.convex
src/analysis/convex/independent.lean
[ "analysis.convex.combination", "analysis.convex.extreme" ]
[ "convex", "convex_hull_min", "convex_independent", "extreme_points_convex_hull_subset", "extreme_points_subset", "inter_extreme_points_subset_extreme_points_of_subset", "set.diff_subset", "set.mem_singleton" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83