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convex_iff_sum_mem : convex R s ↔ (∀ (t : finset E) (w : E → R), (∀ i ∈ t, 0 ≤ w i) → ∑ i in t, w i = 1 → (∀ x ∈ t, x ∈ s) → ∑ x in t, w x • x ∈ s )
begin refine ⟨λ hs t w hw₀ hw₁ hts, hs.sum_mem hw₀ hw₁ hts, _⟩, intros h x hx y hy a b ha hb hab, by_cases h_cases: x = y, { rw [h_cases, ←add_smul, hab, one_smul], exact hy }, { convert h {x, y} (λ z, if z = y then b else a) _ _ _, { simp only [sum_pair h_cases, if_neg h_cases, if_pos rfl] }, { simp_...
lemma
convex_iff_sum_mem
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex", "finset", "one_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
finset.center_mass_mem_convex_hull (t : finset ι) {w : ι → R} (hw₀ : ∀ i ∈ t, 0 ≤ w i) (hws : 0 < ∑ i in t, w i) {z : ι → E} (hz : ∀ i ∈ t, z i ∈ s) : t.center_mass w z ∈ convex_hull R s
(convex_convex_hull R s).center_mass_mem hw₀ hws (λ i hi, subset_convex_hull R s $ hz i hi)
lemma
finset.center_mass_mem_convex_hull
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_convex_hull", "convex_hull", "finset", "subset_convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
finset.center_mass_id_mem_convex_hull (t : finset E) {w : E → R} (hw₀ : ∀ i ∈ t, 0 ≤ w i) (hws : 0 < ∑ i in t, w i) : t.center_mass w id ∈ convex_hull R (t : set E)
t.center_mass_mem_convex_hull hw₀ hws (λ i, mem_coe.2)
lemma
finset.center_mass_id_mem_convex_hull
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "finset" ]
A refinement of `finset.center_mass_mem_convex_hull` when the indexed family is a `finset` of the space.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
affine_combination_eq_center_mass {ι : Type*} {t : finset ι} {p : ι → E} {w : ι → R} (hw₂ : ∑ i in t, w i = 1) : t.affine_combination R p w = center_mass t w p
begin rw [affine_combination_eq_weighted_vsub_of_point_vadd_of_sum_eq_one _ w _ hw₂ (0 : E), finset.weighted_vsub_of_point_apply, vadd_eq_add, add_zero, t.center_mass_eq_of_sum_1 _ hw₂], simp_rw [vsub_eq_sub, sub_zero], end
lemma
affine_combination_eq_center_mass
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "finset", "finset.weighted_vsub_of_point_apply", "vsub_eq_sub" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
affine_combination_mem_convex_hull {s : finset ι} {v : ι → E} {w : ι → R} (hw₀ : ∀ i ∈ s, 0 ≤ w i) (hw₁ : s.sum w = 1) : s.affine_combination R v w ∈ convex_hull R (range v)
begin rw affine_combination_eq_center_mass hw₁, apply s.center_mass_mem_convex_hull hw₀, { simp [hw₁], }, { simp, }, end
lemma
affine_combination_mem_convex_hull
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "affine_combination_eq_center_mass", "convex_hull", "finset" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
finset.centroid_eq_center_mass (s : finset ι) (hs : s.nonempty) (p : ι → E) : s.centroid R p = s.center_mass (s.centroid_weights R) p
affine_combination_eq_center_mass (s.sum_centroid_weights_eq_one_of_nonempty R hs)
lemma
finset.centroid_eq_center_mass
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "affine_combination_eq_center_mass", "finset" ]
The centroid can be regarded as a center of mass.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
finset.centroid_mem_convex_hull (s : finset E) (hs : s.nonempty) : s.centroid R id ∈ convex_hull R (s : set E)
begin rw s.centroid_eq_center_mass hs, apply s.center_mass_id_mem_convex_hull, { simp only [inv_nonneg, implies_true_iff, nat.cast_nonneg, finset.centroid_weights_apply], }, { have hs_card : (s.card : R) ≠ 0, { simp [finset.nonempty_iff_ne_empty.mp hs] }, simp only [hs_card, finset.sum_const, nsmul_eq_mul, ...
lemma
finset.centroid_mem_convex_hull
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "finset", "finset.centroid_weights_apply", "inv_nonneg", "mul_inv_cancel", "nat.cast_nonneg", "nsmul_eq_mul", "zero_lt_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_range_eq_exists_affine_combination (v : ι → E) : convex_hull R (range v) = { x | ∃ (s : finset ι) (w : ι → R) (hw₀ : ∀ i ∈ s, 0 ≤ w i) (hw₁ : s.sum w = 1), s.affine_combination R v w = x }
begin refine subset.antisymm (convex_hull_min _ _) _, { intros x hx, obtain ⟨i, hi⟩ := set.mem_range.mp hx, refine ⟨{i}, function.const ι (1 : R), by simp, by simp, by simp [hi]⟩, }, { rintro x ⟨s, w, hw₀, hw₁, rfl⟩ y ⟨s', w', hw₀', hw₁', rfl⟩ a b ha hb hab, let W : ι → R := λ i, (if i ∈ s then a * w ...
lemma
convex_hull_range_eq_exists_affine_combination
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "add_smul", "affine_combination_mem_convex_hull", "convex_hull", "convex_hull_min", "finset", "ite_smul", "mul_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_eq (s : set E) : convex_hull R s = {x : E | ∃ (ι : Type u') (t : finset ι) (w : ι → R) (z : ι → E) (hw₀ : ∀ i ∈ t, 0 ≤ w i) (hw₁ : ∑ i in t, w i = 1) (hz : ∀ i ∈ t, z i ∈ s), t.center_mass w z = x}
begin refine subset.antisymm (convex_hull_min _ _) _, { intros x hx, use [punit, {punit.star}, λ _, 1, λ _, x, λ _ _, zero_le_one, finset.sum_singleton, λ _ _, hx], simp only [finset.center_mass, finset.sum_singleton, inv_one, one_smul] }, { rintros x ⟨ι, sx, wx, zx, hwx₀, hwx₁, hzx, rfl⟩ y ⟨ι', sy,...
lemma
convex_hull_eq
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_min", "finset", "finset.center_mass", "finset.center_mass_segment'", "finset.mem_disj_sum", "inv_one", "one_smul", "sum.elim_inl", "sum.elim_inr", "zero_le_one", "zero_lt_one" ]
Convex hull of `s` is equal to the set of all centers of masses of `finset`s `t`, `z '' t ⊆ s`. This version allows finsets in any type in any universe.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
finset.convex_hull_eq (s : finset E) : convex_hull R ↑s = {x : E | ∃ (w : E → R) (hw₀ : ∀ y ∈ s, 0 ≤ w y) (hw₁ : ∑ y in s, w y = 1), s.center_mass w id = x}
begin refine subset.antisymm (convex_hull_min _ _) _, { intros x hx, rw [finset.mem_coe] at hx, refine ⟨_, _, _, finset.center_mass_ite_eq _ _ _ hx⟩, { intros, split_ifs, exacts [zero_le_one, le_refl 0] }, { rw [finset.sum_ite_eq, if_pos hx] } }, { rintro x ⟨wx, hwx₀, hwx₁, rfl⟩ y ⟨wy, hwy₀, hwy₁,...
lemma
finset.convex_hull_eq
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_min", "finset", "finset.center_mass_ite_eq", "finset.center_mass_segment", "finset.mem_coe", "mul_one", "zero_le_one", "zero_lt_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
finset.mem_convex_hull {s : finset E} {x : E} : x ∈ convex_hull R (s : set E) ↔ ∃ (w : E → R) (hw₀ : ∀ y ∈ s, 0 ≤ w y) (hw₁ : ∑ y in s, w y = 1), s.center_mass w id = x
by rw [finset.convex_hull_eq, set.mem_set_of_eq]
lemma
finset.mem_convex_hull
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "finset", "finset.convex_hull_eq" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
set.finite.convex_hull_eq {s : set E} (hs : s.finite) : convex_hull R s = {x : E | ∃ (w : E → R) (hw₀ : ∀ y ∈ s, 0 ≤ w y) (hw₁ : ∑ y in hs.to_finset, w y = 1), hs.to_finset.center_mass w id = x}
by simpa only [set.finite.coe_to_finset, set.finite.mem_to_finset, exists_prop] using hs.to_finset.convex_hull_eq
lemma
set.finite.convex_hull_eq
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "exists_prop", "set.finite.coe_to_finset", "set.finite.mem_to_finset" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_eq_union_convex_hull_finite_subsets (s : set E) : convex_hull R s = ⋃ (t : finset E) (w : ↑t ⊆ s), convex_hull R ↑t
begin refine subset.antisymm _ _, { rw convex_hull_eq, rintros x ⟨ι, t, w, z, hw₀, hw₁, hz, rfl⟩, simp only [mem_Union], refine ⟨t.image z, _, _⟩, { rw [coe_image, set.image_subset_iff], exact hz }, { apply t.center_mass_mem_convex_hull hw₀, { simp only [hw₁, zero_lt_one] }, { ...
lemma
convex_hull_eq_union_convex_hull_finite_subsets
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_eq", "convex_hull_mono", "finset", "finset.mem_image_of_mem", "set.image_subset_iff", "zero_lt_one" ]
A weak version of Carathéodory's theorem.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mk_mem_convex_hull_prod {t : set F} {x : E} {y : F} (hx : x ∈ convex_hull R s) (hy : y ∈ convex_hull R t) : (x, y) ∈ convex_hull R (s ×ˢ t)
begin rw convex_hull_eq at ⊢ hx hy, obtain ⟨ι, a, w, S, hw, hw', hS, hSp⟩ := hx, obtain ⟨κ, b, v, T, hv, hv', hT, hTp⟩ := hy, have h_sum : ∑ (i : ι × κ) in a ×ˢ b, w i.fst * v i.snd = 1, { rw [finset.sum_product, ← hw'], congr, ext i, have : ∑ (y : κ) in b, w i * v y = ∑ (y : κ) in b, v y * w i, ...
lemma
mk_mem_convex_hull_prod
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_eq", "finset.center_mass_eq_of_sum_1", "finset.sum_mul", "mul_comm", "one_smul", "prod.smul_mk" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_prod (s : set E) (t : set F) : convex_hull R (s ×ˢ t) = convex_hull R s ×ˢ convex_hull R t
subset.antisymm (convex_hull_min (prod_mono (subset_convex_hull _ _) $ subset_convex_hull _ _) $ (convex_convex_hull _ _).prod $ convex_convex_hull _ _) $ prod_subset_iff.2 $ λ x hx y, mk_mem_convex_hull_prod hx
lemma
convex_hull_prod
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_convex_hull", "convex_hull", "convex_hull_min", "mk_mem_convex_hull_prod", "subset_convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_add (s t : set E) : convex_hull R (s + t) = convex_hull R s + convex_hull R t
by simp_rw [←image2_add, ←image_prod, is_linear_map.is_linear_map_add.convex_hull_image, convex_hull_prod]
lemma
convex_hull_add
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_prod" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_add_monoid_hom : set E →+ set E
{ to_fun := convex_hull R, map_add' := convex_hull_add, map_zero' := convex_hull_zero }
def
convex_hull_add_monoid_hom
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_add", "convex_hull_zero" ]
`convex_hull` is an additive monoid morphism under pointwise addition.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_sub (s t : set E) : convex_hull R (s - t) = convex_hull R s - convex_hull R t
by simp_rw [sub_eq_add_neg, convex_hull_add, convex_hull_neg]
lemma
convex_hull_sub
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_add", "convex_hull_neg" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_list_sum (l : list (set E)) : convex_hull R l.sum = (l.map $ convex_hull R).sum
map_list_sum (convex_hull_add_monoid_hom R E) l
lemma
convex_hull_list_sum
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_add_monoid_hom" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_multiset_sum (s : multiset (set E)) : convex_hull R s.sum = (s.map $ convex_hull R).sum
map_multiset_sum (convex_hull_add_monoid_hom R E) s
lemma
convex_hull_multiset_sum
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_add_monoid_hom", "multiset" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_sum {ι} (s : finset ι) (t : ι → set E) : convex_hull R (∑ i in s, t i) = ∑ i in s, convex_hull R (t i)
map_sum (convex_hull_add_monoid_hom R E) _ _
lemma
convex_hull_sum
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_add_monoid_hom", "finset" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_hull_basis_eq_std_simplex : convex_hull R (range $ λ(i j:ι), if i = j then (1:R) else 0) = std_simplex R ι
begin refine subset.antisymm (convex_hull_min _ (convex_std_simplex R ι)) _, { rintros _ ⟨i, rfl⟩, exact ite_eq_mem_std_simplex R i }, { rintros w ⟨hw₀, hw₁⟩, rw [pi_eq_sum_univ w, ← finset.univ.center_mass_eq_of_sum_1 _ hw₁], exact finset.univ.center_mass_mem_convex_hull (λ i hi, hw₀ i) (hw₁.sy...
lemma
convex_hull_basis_eq_std_simplex
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_min", "convex_std_simplex", "ite_eq_mem_std_simplex", "pi_eq_sum_univ", "std_simplex", "zero_lt_one" ]
`std_simplex 𝕜 ι` is the convex hull of the canonical basis in `ι → 𝕜`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
set.finite.convex_hull_eq_image {s : set E} (hs : s.finite) : convex_hull R s = by haveI
hs.fintype; exact (⇑(∑ x : s, (@linear_map.proj R s _ (λ i, R) _ _ x).smul_right x.1)) '' (std_simplex R s) := begin rw [← convex_hull_basis_eq_std_simplex, ← linear_map.convex_hull_image, ← set.range_comp, (∘)], apply congr_arg, convert subtype.range_coe.symm, ext x, simp [linear_map.sum_apply, ite_smul,...
lemma
set.finite.convex_hull_eq_image
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "convex_hull", "convex_hull_basis_eq_std_simplex", "finset.filter_eq", "ite_smul", "linear_map.convex_hull_image", "linear_map.proj", "linear_map.sum_apply", "set.range_comp", "std_simplex" ]
The convex hull of a finite set is the image of the standard simplex in `s → ℝ` under the linear map sending each function `w` to `∑ x in s, w x • x`. Since we have no sums over finite sets, we use sum over `@finset.univ _ hs.fintype`. The map is defined in terms of operations on `(s → ℝ) →ₗ[ℝ] ℝ` so that later we wil...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mem_Icc_of_mem_std_simplex (hf : f ∈ std_simplex R ι) (x) : f x ∈ Icc (0 : R) 1
⟨hf.1 x, hf.2 ▸ finset.single_le_sum (λ y hy, hf.1 y) (finset.mem_univ x)⟩
lemma
mem_Icc_of_mem_std_simplex
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "finset.mem_univ", "std_simplex" ]
All values of a function `f ∈ std_simplex 𝕜 ι` belong to `[0, 1]`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
affine_basis.convex_hull_eq_nonneg_coord {ι : Type*} (b : affine_basis ι R E) : convex_hull R (range b) = {x | ∀ i, 0 ≤ b.coord i x}
begin rw convex_hull_range_eq_exists_affine_combination, ext x, refine ⟨_, λ hx, _⟩, { rintros ⟨s, w, hw₀, hw₁, rfl⟩ i, by_cases hi : i ∈ s, { rw b.coord_apply_combination_of_mem hi hw₁, exact hw₀ i hi, }, { rw b.coord_apply_combination_of_not_mem hi hw₁, }, }, { have hx' : x ∈ affine_span R...
lemma
affine_basis.convex_hull_eq_nonneg_coord
analysis.convex
src/analysis/convex/combination.lean
[ "algebra.big_operators.order", "analysis.convex.hull", "linear_algebra.affine_space.basis" ]
[ "affine_basis", "affine_span", "affine_subspace.mem_top", "convex_hull", "convex_hull_range_eq_exists_affine_combination", "mem_affine_span_iff_eq_affine_combination" ]
The convex hull of an affine basis is the intersection of the half-spaces defined by the corresponding barycentric coordinates.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_halfspace_re_lt (r : ℝ) : convex ℝ {c : ℂ | c.re < r}
convex_halfspace_lt (is_linear_map.mk complex.add_re complex.smul_re) _
lemma
convex_halfspace_re_lt
analysis.convex
src/analysis/convex/complex.lean
[ "analysis.convex.basic", "data.complex.module" ]
[ "complex.add_re", "complex.smul_re", "convex", "convex_halfspace_lt" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_halfspace_re_le (r : ℝ) : convex ℝ {c : ℂ | c.re ≤ r}
convex_halfspace_le (is_linear_map.mk complex.add_re complex.smul_re) _
lemma
convex_halfspace_re_le
analysis.convex
src/analysis/convex/complex.lean
[ "analysis.convex.basic", "data.complex.module" ]
[ "complex.add_re", "complex.smul_re", "convex", "convex_halfspace_le" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_halfspace_re_gt (r : ℝ) : convex ℝ {c : ℂ | r < c.re }
convex_halfspace_gt (is_linear_map.mk complex.add_re complex.smul_re) _
lemma
convex_halfspace_re_gt
analysis.convex
src/analysis/convex/complex.lean
[ "analysis.convex.basic", "data.complex.module" ]
[ "complex.add_re", "complex.smul_re", "convex", "convex_halfspace_gt" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_halfspace_re_ge (r : ℝ) : convex ℝ {c : ℂ | r ≤ c.re}
convex_halfspace_ge (is_linear_map.mk complex.add_re complex.smul_re) _
lemma
convex_halfspace_re_ge
analysis.convex
src/analysis/convex/complex.lean
[ "analysis.convex.basic", "data.complex.module" ]
[ "complex.add_re", "complex.smul_re", "convex", "convex_halfspace_ge" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_halfspace_im_lt (r : ℝ) : convex ℝ {c : ℂ | c.im < r}
convex_halfspace_lt (is_linear_map.mk complex.add_im complex.smul_im) _
lemma
convex_halfspace_im_lt
analysis.convex
src/analysis/convex/complex.lean
[ "analysis.convex.basic", "data.complex.module" ]
[ "complex.add_im", "complex.smul_im", "convex", "convex_halfspace_lt" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_halfspace_im_le (r : ℝ) : convex ℝ {c : ℂ | c.im ≤ r}
convex_halfspace_le (is_linear_map.mk complex.add_im complex.smul_im) _
lemma
convex_halfspace_im_le
analysis.convex
src/analysis/convex/complex.lean
[ "analysis.convex.basic", "data.complex.module" ]
[ "complex.add_im", "complex.smul_im", "convex", "convex_halfspace_le" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_halfspace_im_gt (r : ℝ) : convex ℝ {c : ℂ | r < c.im}
convex_halfspace_gt (is_linear_map.mk complex.add_im complex.smul_im) _
lemma
convex_halfspace_im_gt
analysis.convex
src/analysis/convex/complex.lean
[ "analysis.convex.basic", "data.complex.module" ]
[ "complex.add_im", "complex.smul_im", "convex", "convex_halfspace_gt" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_halfspace_im_ge (r : ℝ) : convex ℝ {c : ℂ | r ≤ c.im}
convex_halfspace_ge (is_linear_map.mk complex.add_im complex.smul_im) _
lemma
convex_halfspace_im_ge
analysis.convex
src/analysis/convex/complex.lean
[ "analysis.convex.basic", "data.complex.module" ]
[ "complex.add_im", "complex.smul_im", "convex", "convex_halfspace_ge" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
star_convex.contractible_space (h : star_convex ℝ x s) (hne : s.nonempty) : contractible_space s
begin refine (contractible_iff_id_nullhomotopic _).2 ⟨⟨x, h.mem hne⟩, ⟨⟨⟨λ p, ⟨p.1.1 • x + (1 - p.1.1) • p.2, _⟩, _⟩, λ x, _, λ x, _⟩⟩⟩, { exact h p.2.2 p.1.2.1 (sub_nonneg.2 p.1.2.2) (add_sub_cancel'_right _ _) }, { exact ((continuous_subtype_val.fst'.smul continuous_const).add ((continuous_const.sub c...
lemma
star_convex.contractible_space
analysis.convex
src/analysis/convex/contractible.lean
[ "analysis.convex.star", "topology.homotopy.contractible" ]
[ "continuous_const", "contractible_iff_id_nullhomotopic", "contractible_space", "star_convex" ]
A non-empty star convex set is a contractible space.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex.contractible_space (hs : convex ℝ s) (hne : s.nonempty) : contractible_space s
let ⟨x, hx⟩ := hne in (hs.star_convex hx).contractible_space hne
lemma
convex.contractible_space
analysis.convex
src/analysis/convex/contractible.lean
[ "analysis.convex.star", "topology.homotopy.contractible" ]
[ "contractible_space", "convex" ]
A non-empty convex set is a contractible space.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
real_topological_vector_space.contractible_space : contractible_space E
(homeomorph.set.univ E).contractible_space_iff.mp $ convex_univ.contractible_space set.univ_nonempty
instance
real_topological_vector_space.contractible_space
analysis.convex
src/analysis/convex/contractible.lean
[ "analysis.convex.star", "topology.homotopy.contractible" ]
[ "contractible_space", "homeomorph.set.univ", "set.univ_nonempty" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_exposed (A B : set E) : Prop
B.nonempty → ∃ l : E →L[𝕜] 𝕜, B = {x ∈ A | ∀ y ∈ A, l y ≤ l x}
def
is_exposed
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[]
A set `B` is exposed with respect to `A` iff it maximizes some functional over `A` (and contains all points maximizing it). Written `is_exposed 𝕜 A B`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
continuous_linear_map.to_exposed (l : E →L[𝕜] 𝕜) (A : set E) : set E
{x ∈ A | ∀ y ∈ A, l y ≤ l x}
def
continuous_linear_map.to_exposed
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[]
A useful way to build exposed sets from intersecting `A` with halfspaces (modelled by an inequality with a functional).
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
continuous_linear_map.to_exposed.is_exposed : is_exposed 𝕜 A (l.to_exposed A)
λ h, ⟨l, rfl⟩
lemma
continuous_linear_map.to_exposed.is_exposed
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_exposed_empty : is_exposed 𝕜 A ∅
λ ⟨x, hx⟩, by { exfalso, exact hx }
lemma
is_exposed_empty
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
subset (hAB : is_exposed 𝕜 A B) : B ⊆ A
begin rintro x hx, obtain ⟨_, rfl⟩ := hAB ⟨x, hx⟩, exact hx.1, end
lemma
is_exposed.subset
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
refl (A : set E) : is_exposed 𝕜 A A
λ ⟨w, hw⟩, ⟨0, subset.antisymm (λ x hx, ⟨hx, λ y hy, by exact le_refl 0⟩) (λ x hx, hx.1)⟩
lemma
is_exposed.refl
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
antisymm (hB : is_exposed 𝕜 A B) (hA : is_exposed 𝕜 B A) : A = B
hA.subset.antisymm hB.subset
lemma
is_exposed.antisymm
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mono (hC : is_exposed 𝕜 A C) (hBA : B ⊆ A) (hCB : C ⊆ B) : is_exposed 𝕜 B C
begin rintro ⟨w, hw⟩, obtain ⟨l, rfl⟩ := hC ⟨w, hw⟩, exact ⟨l, subset.antisymm (λ x hx, ⟨hCB hx, λ y hy, hx.2 y (hBA hy)⟩) (λ x hx, ⟨hBA hx.1, λ y hy, (hw.2 y hy).trans (hx.2 w (hCB hw))⟩)⟩, end
lemma
is_exposed.mono
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_inter_halfspace' {A B : set E} (hAB : is_exposed 𝕜 A B) (hB : B.nonempty) : ∃ l : E →L[𝕜] 𝕜, ∃ a, B = {x ∈ A | a ≤ l x}
begin obtain ⟨l, rfl⟩ := hAB hB, obtain ⟨w, hw⟩ := hB, exact ⟨l, l w, subset.antisymm (λ x hx, ⟨hx.1, hx.2 w hw.1⟩) (λ x hx, ⟨hx.1, λ y hy, (hw.2 y hy).trans hx.2⟩)⟩, end
lemma
is_exposed.eq_inter_halfspace'
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_exposed" ]
If `B` is a nonempty exposed subset of `A`, then `B` is the intersection of `A` with some closed halfspace. The converse is *not* true. It would require that the corresponding open halfspace doesn't intersect `A`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_inter_halfspace [nontrivial 𝕜] {A B : set E} (hAB : is_exposed 𝕜 A B) : ∃ l : E →L[𝕜] 𝕜, ∃ a, B = {x ∈ A | a ≤ l x}
begin obtain rfl | hB := B.eq_empty_or_nonempty, { refine ⟨0, 1, _⟩, rw [eq_comm, eq_empty_iff_forall_not_mem], rintro x ⟨-, h⟩, rw continuous_linear_map.zero_apply at h, have : ¬ ((1:𝕜) ≤ 0) := not_le_of_lt zero_lt_one, contradiction }, exact hAB.eq_inter_halfspace' hB, end
lemma
is_exposed.eq_inter_halfspace
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "continuous_linear_map.zero_apply", "is_exposed", "nontrivial", "not_le_of_lt", "zero_lt_one" ]
For nontrivial `𝕜`, if `B` is an exposed subset of `A`, then `B` is the intersection of `A` with some closed halfspace. The converse is *not* true. It would require that the corresponding open halfspace doesn't intersect `A`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inter [has_continuous_add 𝕜] {A B C : set E} (hB : is_exposed 𝕜 A B) (hC : is_exposed 𝕜 A C) : is_exposed 𝕜 A (B ∩ C)
begin rintro ⟨w, hwB, hwC⟩, obtain ⟨l₁, rfl⟩ := hB ⟨w, hwB⟩, obtain ⟨l₂, rfl⟩ := hC ⟨w, hwC⟩, refine ⟨l₁ + l₂, subset.antisymm _ _⟩, { rintro x ⟨⟨hxA, hxB⟩, ⟨-, hxC⟩⟩, exact ⟨hxA, λ z hz, add_le_add (hxB z hz) (hxC z hz)⟩ }, rintro x ⟨hxA, hx⟩, refine ⟨⟨hxA, λ y hy, _⟩, hxA, λ y hy, _⟩, { exact (add...
lemma
is_exposed.inter
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "has_continuous_add", "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
sInter [has_continuous_add 𝕜] {F : finset (set E)} (hF : F.nonempty) (hAF : ∀ B ∈ F, is_exposed 𝕜 A B) : is_exposed 𝕜 A (⋂₀ F)
begin revert hF F, refine finset.induction _ _, { rintro h, exfalso, exact not_nonempty_empty h }, rintro C F _ hF _ hCF, rw [finset.coe_insert, sInter_insert], obtain rfl | hFnemp := F.eq_empty_or_nonempty, { rw [finset.coe_empty, sInter_empty, inter_univ], exact hCF C (finset.mem_singleton_s...
lemma
is_exposed.sInter
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "finset", "finset.coe_empty", "finset.coe_insert", "finset.induction", "finset.mem_insert_of_mem", "finset.mem_insert_self", "finset.mem_singleton_self", "has_continuous_add", "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inter_left (hC : is_exposed 𝕜 A C) (hCB : C ⊆ B) : is_exposed 𝕜 (A ∩ B) C
begin rintro ⟨w, hw⟩, obtain ⟨l, rfl⟩ := hC ⟨w, hw⟩, exact ⟨l, subset.antisymm (λ x hx, ⟨⟨hx.1, hCB hx⟩, λ y hy, hx.2 y hy.1⟩) (λ x ⟨⟨hxC, _⟩, hx⟩, ⟨hxC, λ y hy, (hw.2 y hy).trans (hx w ⟨hC.subset hw, hCB hw⟩)⟩)⟩, end
lemma
is_exposed.inter_left
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inter_right (hC : is_exposed 𝕜 B C) (hCA : C ⊆ A) : is_exposed 𝕜 (A ∩ B) C
begin rw inter_comm, exact hC.inter_left hCA, end
lemma
is_exposed.inter_right
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_closed [order_closed_topology 𝕜] {A B : set E} (hAB : is_exposed 𝕜 A B) (hA : is_closed A) : is_closed B
begin obtain rfl | hB := B.eq_empty_or_nonempty, { simp }, obtain ⟨l, a, rfl⟩ := hAB.eq_inter_halfspace' hB, exact hA.is_closed_le continuous_on_const l.continuous.continuous_on, end
lemma
is_exposed.is_closed
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "continuous_on_const", "is_closed", "is_exposed", "order_closed_topology" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_compact [order_closed_topology 𝕜] [t2_space E] {A B : set E} (hAB : is_exposed 𝕜 A B) (hA : is_compact A) : is_compact B
is_compact_of_is_closed_subset hA (hAB.is_closed hA.is_closed) hAB.subset
lemma
is_exposed.is_compact
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_compact", "is_compact_of_is_closed_subset", "is_exposed", "order_closed_topology", "t2_space" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
set.exposed_points (A : set E) : set E
{x ∈ A | ∃ l : E →L[𝕜] 𝕜, ∀ y ∈ A, l y ≤ l x ∧ (l x ≤ l y → y = x)}
def
set.exposed_points
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[]
A point is exposed with respect to `A` iff there exists an hyperplane whose intersection with `A` is exactly that point.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
exposed_point_def : x ∈ A.exposed_points 𝕜 ↔ x ∈ A ∧ ∃ l : E →L[𝕜] 𝕜, ∀ y ∈ A, l y ≤ l x ∧ (l x ≤ l y → y = x)
iff.rfl
lemma
exposed_point_def
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
exposed_points_subset : A.exposed_points 𝕜 ⊆ A
λ x hx, hx.1
lemma
exposed_points_subset
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
exposed_points_empty : (∅ : set E).exposed_points 𝕜 = ∅
subset_empty_iff.1 exposed_points_subset
lemma
exposed_points_empty
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "exposed_points_subset" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mem_exposed_points_iff_exposed_singleton : x ∈ A.exposed_points 𝕜 ↔ is_exposed 𝕜 A {x}
begin use λ ⟨hxA, l, hl⟩ h, ⟨l, eq.symm $ eq_singleton_iff_unique_mem.2 ⟨⟨hxA, λ y hy, (hl y hy).1⟩, λ z hz, (hl z hz.1).2 (hz.2 x hxA)⟩⟩, rintro h, obtain ⟨l, hl⟩ := h ⟨x, mem_singleton _⟩, rw [eq_comm, eq_singleton_iff_unique_mem] at hl, exact ⟨hl.1.1, l, λ y hy, ⟨hl.1.2 y hy, λ hxy, hl.2 y ⟨hy, λ z hz,...
lemma
mem_exposed_points_iff_exposed_singleton
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_exposed" ]
Exposed points exactly correspond to exposed singletons.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex (hAB : is_exposed 𝕜 A B) (hA : convex 𝕜 A) : convex 𝕜 B
begin obtain rfl | hB := B.eq_empty_or_nonempty, { exact convex_empty }, obtain ⟨l, rfl⟩ := hAB hB, exact λ x₁ hx₁ x₂ hx₂ a b ha hb hab, ⟨hA hx₁.1 hx₂.1 ha hb hab, λ y hy, ((l.to_linear_map.concave_on convex_univ).convex_ge _ ⟨mem_univ _, hx₁.2 y hy⟩ ⟨mem_univ _, hx₂.2 y hy⟩ ha hb hab).2⟩, end
lemma
is_exposed.convex
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "convex", "convex_empty", "convex_univ", "is_exposed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme (hAB : is_exposed 𝕜 A B) : is_extreme 𝕜 A B
begin refine ⟨hAB.subset, λ x₁ hx₁A x₂ hx₂A x hxB hx, _⟩, obtain ⟨l, rfl⟩ := hAB ⟨x, hxB⟩, have hl : convex_on 𝕜 univ l := l.to_linear_map.convex_on convex_univ, have hlx₁ := hxB.2 x₁ hx₁A, have hlx₂ := hxB.2 x₂ hx₂A, refine ⟨⟨hx₁A, λ y hy, _⟩, ⟨hx₂A, λ y hy, _⟩⟩, { have := @convex_on.le_left_of_right_le...
lemma
is_exposed.is_extreme
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "convex_on", "convex_on.le_left_of_right_le", "convex_univ", "is_exposed", "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
exposed_points_subset_extreme_points : A.exposed_points 𝕜 ⊆ A.extreme_points 𝕜
λ x hx, mem_extreme_points_iff_extreme_singleton.2 (mem_exposed_points_iff_exposed_singleton.1 hx).is_extreme
lemma
exposed_points_subset_extreme_points
analysis.convex
src/analysis/convex/exposed.lean
[ "analysis.convex.extreme", "analysis.convex.function", "topology.algebra.module.basic", "topology.order.basic" ]
[ "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_min_on.of_is_local_min_on_of_convex_on_Icc {f : ℝ → β} {a b : ℝ} (a_lt_b : a < b) (h_local_min : is_local_min_on f (Icc a b) a) (h_conv : convex_on ℝ (Icc a b) f) : is_min_on f (Icc a b) a
begin rintro c hc, dsimp only [mem_set_of_eq], rw [is_local_min_on, nhds_within_Icc_eq_nhds_within_Ici a_lt_b] at h_local_min, rcases hc.1.eq_or_lt with rfl|a_lt_c, { exact le_rfl }, have H₁ : ∀ᶠ y in 𝓝[>] a, f a ≤ f y, from h_local_min.filter_mono (nhds_within_mono _ Ioi_subset_Ici_self), have H₂ : ∀ᶠ y...
lemma
is_min_on.of_is_local_min_on_of_convex_on_Icc
analysis.convex
src/analysis/convex/extrema.lean
[ "analysis.convex.function", "topology.algebra.affine", "topology.local_extr", "topology.metric_space.basic" ]
[ "Ioc_mem_nhds_within_Ioi", "add_smul", "convex.mem_Ioc", "convex_on", "is_local_min_on", "is_min_on", "le_rfl", "nhds_within_Icc_eq_nhds_within_Ici", "nhds_within_mono", "one_smul", "smul_le_smul_iff_of_pos" ]
Helper lemma for the more general case: `is_min_on.of_is_local_min_on_of_convex_on`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_min_on.of_is_local_min_on_of_convex_on {f : E → β} {a : E} (a_in_s : a ∈ s) (h_localmin : is_local_min_on f s a) (h_conv : convex_on ℝ s f) : is_min_on f s a
begin intros x x_in_s, let g : ℝ →ᵃ[ℝ] E := affine_map.line_map a x, have hg0 : g 0 = a := affine_map.line_map_apply_zero a x, have hg1 : g 1 = x := affine_map.line_map_apply_one a x, have hgc : continuous g, from affine_map.line_map_continuous, have h_maps : maps_to g (Icc 0 1) s, { simpa only [maps_to',...
lemma
is_min_on.of_is_local_min_on_of_convex_on
analysis.convex
src/analysis/convex/extrema.lean
[ "analysis.convex.function", "topology.algebra.affine", "topology.local_extr", "topology.metric_space.basic" ]
[ "affine_map.line_map", "affine_map.line_map_apply_one", "affine_map.line_map_apply_zero", "affine_map.line_map_continuous", "continuous", "convex_Icc", "convex_on", "is_local_min_on", "is_min_on", "is_min_on.of_is_local_min_on_of_convex_on_Icc", "segment_eq_image_line_map", "zero_le_one" ]
A local minimum of a convex function is a global minimum, restricted to a set `s`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_max_on.of_is_local_max_on_of_concave_on {f : E → β} {a : E} (a_in_s : a ∈ s) (h_localmax: is_local_max_on f s a) (h_conc : concave_on ℝ s f) : is_max_on f s a
@is_min_on.of_is_local_min_on_of_convex_on _ βᵒᵈ _ _ _ _ _ _ _ _ s f a a_in_s h_localmax h_conc
lemma
is_max_on.of_is_local_max_on_of_concave_on
analysis.convex
src/analysis/convex/extrema.lean
[ "analysis.convex.function", "topology.algebra.affine", "topology.local_extr", "topology.metric_space.basic" ]
[ "concave_on", "is_local_max_on", "is_max_on", "is_min_on.of_is_local_min_on_of_convex_on" ]
A local maximum of a concave function is a global maximum, restricted to a set `s`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_min_on.of_is_local_min_of_convex_univ {f : E → β} {a : E} (h_local_min : is_local_min f a) (h_conv : convex_on ℝ univ f) : ∀ x, f a ≤ f x
λ x, (is_min_on.of_is_local_min_on_of_convex_on (mem_univ a) (h_local_min.on univ) h_conv) (mem_univ x)
lemma
is_min_on.of_is_local_min_of_convex_univ
analysis.convex
src/analysis/convex/extrema.lean
[ "analysis.convex.function", "topology.algebra.affine", "topology.local_extr", "topology.metric_space.basic" ]
[ "convex_on", "is_local_min", "is_min_on.of_is_local_min_on_of_convex_on" ]
A local minimum of a convex function is a global minimum.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_max_on.of_is_local_max_of_convex_univ {f : E → β} {a : E} (h_local_max : is_local_max f a) (h_conc : concave_on ℝ univ f) : ∀ x, f x ≤ f a
@is_min_on.of_is_local_min_of_convex_univ _ βᵒᵈ _ _ _ _ _ _ _ _ f a h_local_max h_conc
lemma
is_max_on.of_is_local_max_of_convex_univ
analysis.convex
src/analysis/convex/extrema.lean
[ "analysis.convex.function", "topology.algebra.affine", "topology.local_extr", "topology.metric_space.basic" ]
[ "concave_on", "is_local_max", "is_min_on.of_is_local_min_of_convex_univ" ]
A local maximum of a concave function is a global maximum.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme (A B : set E) : Prop
B ⊆ A ∧ ∀ ⦃x₁⦄, x₁ ∈ A → ∀ ⦃x₂⦄, x₂ ∈ A → ∀ ⦃x⦄, x ∈ B → x ∈ open_segment 𝕜 x₁ x₂ → x₁ ∈ B ∧ x₂ ∈ B
def
is_extreme
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "open_segment" ]
A set `B` is an extreme subset of `A` if `B ⊆ A` and all points of `B` only belong to open segments whose ends are in `B`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
set.extreme_points (A : set E) : set E
{x ∈ A | ∀ ⦃x₁⦄, x₁ ∈ A → ∀ ⦃x₂⦄, x₂ ∈ A → x ∈ open_segment 𝕜 x₁ x₂ → x₁ = x ∧ x₂ = x}
def
set.extreme_points
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "open_segment" ]
A point `x` is an extreme point of a set `A` if `x` belongs to no open segment with ends in `A`, except for the obvious `open_segment x x`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme.refl (A : set E) : is_extreme 𝕜 A A
⟨subset.rfl, λ x₁ hx₁A x₂ hx₂A x hxA hx, ⟨hx₁A, hx₂A⟩⟩
lemma
is_extreme.refl
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme.rfl : is_extreme 𝕜 A A
is_extreme.refl 𝕜 A
lemma
is_extreme.rfl
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "is_extreme", "is_extreme.refl" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme.trans (hAB : is_extreme 𝕜 A B) (hBC : is_extreme 𝕜 B C) : is_extreme 𝕜 A C
begin refine ⟨subset.trans hBC.1 hAB.1, λ x₁ hx₁A x₂ hx₂A x hxC hx, _⟩, obtain ⟨hx₁B, hx₂B⟩ := hAB.2 hx₁A hx₂A (hBC.1 hxC) hx, exact hBC.2 hx₁B hx₂B hxC hx, end
lemma
is_extreme.trans
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme.antisymm : anti_symmetric (is_extreme 𝕜 : set E → set E → Prop)
λ A B hAB hBA, subset.antisymm hBA.1 hAB.1
lemma
is_extreme.antisymm
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme.inter (hAB : is_extreme 𝕜 A B) (hAC : is_extreme 𝕜 A C) : is_extreme 𝕜 A (B ∩ C)
begin use subset.trans (inter_subset_left _ _) hAB.1, rintro x₁ hx₁A x₂ hx₂A x ⟨hxB, hxC⟩ hx, obtain ⟨hx₁B, hx₂B⟩ := hAB.2 hx₁A hx₂A hxB hx, obtain ⟨hx₁C, hx₂C⟩ := hAC.2 hx₁A hx₂A hxC hx, exact ⟨⟨hx₁B, hx₁C⟩, hx₂B, hx₂C⟩, end
lemma
is_extreme.inter
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme.mono (hAC : is_extreme 𝕜 A C) (hBA : B ⊆ A) (hCB : C ⊆ B) : is_extreme 𝕜 B C
⟨hCB, λ x₁ hx₁B x₂ hx₂B x hxC hx, hAC.2 (hBA hx₁B) (hBA hx₂B) hxC hx⟩
lemma
is_extreme.mono
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme_Inter {ι : Sort*} [nonempty ι] {F : ι → set E} (hAF : ∀ i : ι, is_extreme 𝕜 A (F i)) : is_extreme 𝕜 A (⋂ i : ι, F i)
begin obtain i := classical.arbitrary ι, refine ⟨Inter_subset_of_subset i (hAF i).1, λ x₁ hx₁A x₂ hx₂A x hxF hx, _⟩, simp_rw mem_Inter at ⊢ hxF, have h := λ i, (hAF i).2 hx₁A hx₂A (hxF i) hx, exact ⟨λ i, (h i).1, λ i, (h i).2⟩, end
lemma
is_extreme_Inter
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "classical.arbitrary", "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme_bInter {F : set (set E)} (hF : F.nonempty) (hA : ∀ B ∈ F, is_extreme 𝕜 A B) : is_extreme 𝕜 A (⋂ B ∈ F, B)
by { haveI := hF.to_subtype, simpa only [Inter_subtype] using is_extreme_Inter (λ i : F, hA _ i.2) }
lemma
is_extreme_bInter
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "is_extreme", "is_extreme_Inter" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme_sInter {F : set (set E)} (hF : F.nonempty) (hAF : ∀ B ∈ F, is_extreme 𝕜 A B) : is_extreme 𝕜 A (⋂₀ F)
begin obtain ⟨B, hB⟩ := hF, refine ⟨(sInter_subset_of_mem hB).trans (hAF B hB).1, λ x₁ hx₁A x₂ hx₂A x hxF hx, _⟩, simp_rw mem_sInter at ⊢ hxF, have h := λ B hB, (hAF B hB).2 hx₁A hx₂A (hxF B hB) hx, exact ⟨λ B hB, (h B hB).1, λ B hB, (h B hB).2⟩, end
lemma
is_extreme_sInter
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mem_extreme_points : x ∈ A.extreme_points 𝕜 ↔ x ∈ A ∧ ∀ (x₁ x₂ ∈ A), x ∈ open_segment 𝕜 x₁ x₂ → x₁ = x ∧ x₂ = x
iff.rfl
lemma
mem_extreme_points
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "open_segment" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mem_extreme_points_iff_extreme_singleton : x ∈ A.extreme_points 𝕜 ↔ is_extreme 𝕜 A {x}
begin refine ⟨_, λ hx, ⟨singleton_subset_iff.1 hx.1, λ x₁ hx₁ x₂ hx₂, hx.2 hx₁ hx₂ rfl⟩⟩, rintro ⟨hxA, hAx⟩, use singleton_subset_iff.2 hxA, rintro x₁ hx₁A x₂ hx₂A y (rfl : y = x), exact hAx hx₁A hx₂A, end
lemma
mem_extreme_points_iff_extreme_singleton
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "is_extreme" ]
x is an extreme point to A iff {x} is an extreme set of A.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
extreme_points_subset : A.extreme_points 𝕜 ⊆ A
λ x hx, hx.1
lemma
extreme_points_subset
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
extreme_points_empty : (∅ : set E).extreme_points 𝕜 = ∅
subset_empty_iff.1 extreme_points_subset
lemma
extreme_points_empty
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "extreme_points_subset" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
extreme_points_singleton : ({x} : set E).extreme_points 𝕜 = {x}
extreme_points_subset.antisymm $ singleton_subset_iff.2 ⟨mem_singleton x, λ x₁ hx₁ x₂ hx₂ _, ⟨hx₁, hx₂⟩⟩
lemma
extreme_points_singleton
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inter_extreme_points_subset_extreme_points_of_subset (hBA : B ⊆ A) : B ∩ A.extreme_points 𝕜 ⊆ B.extreme_points 𝕜
λ x ⟨hxB, hxA⟩, ⟨hxB, λ x₁ hx₁ x₂ hx₂ hx, hxA.2 (hBA hx₁) (hBA hx₂) hx⟩
lemma
inter_extreme_points_subset_extreme_points_of_subset
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme.extreme_points_subset_extreme_points (hAB : is_extreme 𝕜 A B) : B.extreme_points 𝕜 ⊆ A.extreme_points 𝕜
λ x hx, mem_extreme_points_iff_extreme_singleton.2 (hAB.trans (mem_extreme_points_iff_extreme_singleton.1 hx))
lemma
is_extreme.extreme_points_subset_extreme_points
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme.extreme_points_eq (hAB : is_extreme 𝕜 A B) : B.extreme_points 𝕜 = B ∩ A.extreme_points 𝕜
subset.antisymm (λ x hx, ⟨hx.1, hAB.extreme_points_subset_extreme_points hx⟩) (inter_extreme_points_subset_extreme_points_of_subset hAB.1)
lemma
is_extreme.extreme_points_eq
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "inter_extreme_points_subset_extreme_points_of_subset", "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_extreme.convex_diff (hA : convex 𝕜 A) (hAB : is_extreme 𝕜 A B) : convex 𝕜 (A \ B)
convex_iff_open_segment_subset.2 (λ x₁ ⟨hx₁A, hx₁B⟩ x₂ ⟨hx₂A, hx₂B⟩ x hx, ⟨hA.open_segment_subset hx₁A hx₂A hx, λ hxB, hx₁B (hAB.2 hx₁A hx₂A hxB hx).1⟩)
lemma
is_extreme.convex_diff
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "convex", "is_extreme" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
extreme_points_prod (s : set E) (t : set F) : (s ×ˢ t).extreme_points 𝕜 = s.extreme_points 𝕜 ×ˢ t.extreme_points 𝕜
begin ext, refine (and_congr_right $ λ hx, ⟨λ h, _, λ h, _⟩).trans (and_and_and_comm _ _ _ _), split, { rintro x₁ hx₁ x₂ hx₂ hx_fst, refine (h (mk_mem_prod hx₁ hx.2) (mk_mem_prod hx₂ hx.2) _).imp (congr_arg prod.fst) (congr_arg prod.fst), rw ←prod.image_mk_open_segment_left, exact ⟨_, hx_fst, ...
lemma
extreme_points_prod
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "and_and_and_comm", "prod.ext_iff" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
extreme_points_pi (s : Π i, set (π i)) : (univ.pi s).extreme_points 𝕜 = univ.pi (λ i, (s i).extreme_points 𝕜)
begin ext, simp only [mem_extreme_points, mem_pi, mem_univ, true_implies_iff, @forall_and_distrib ι], refine and_congr_right (λ hx, ⟨λ h i, _, λ h, _⟩), { rintro x₁ hx₁ x₂ hx₂ hi, refine (h (update x i x₁) _ (update x i x₂) _ _).imp (λ h₁, by rw [←h₁, update_same]) (λ h₂, by rw [←h₂, update_same]), ...
lemma
extreme_points_pi
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "eq_or_ne", "forall_and_distrib", "mem_extreme_points", "update", "update_eq_self", "update_noteq", "update_same" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mem_extreme_points_iff_forall_segment : x ∈ A.extreme_points 𝕜 ↔ x ∈ A ∧ ∀ (x₁ x₂ ∈ A), x ∈ segment 𝕜 x₁ x₂ → x₁ = x ∨ x₂ = x
begin refine and_congr_right (λ hxA, forall₄_congr $ λ x₁ h₁ x₂ h₂, _), split, { rw ← insert_endpoints_open_segment, rintro H (rfl|rfl|hx), exacts [or.inl rfl, or.inr rfl, or.inl $ (H hx).1] }, { intros H hx, rcases H (open_segment_subset_segment _ _ _ hx) with rfl | rfl, exacts [⟨rfl, (left_mem...
lemma
mem_extreme_points_iff_forall_segment
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "forall₄_congr", "insert_endpoints_open_segment", "open_segment_subset_segment", "segment" ]
A useful restatement using `segment`: `x` is an extreme point iff the only (closed) segments that contain it are those with `x` as one of their endpoints.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex.mem_extreme_points_iff_convex_diff (hA : convex 𝕜 A) : x ∈ A.extreme_points 𝕜 ↔ x ∈ A ∧ convex 𝕜 (A \ {x})
begin use λ hx, ⟨hx.1, (mem_extreme_points_iff_extreme_singleton.1 hx).convex_diff hA⟩, rintro ⟨hxA, hAx⟩, refine mem_extreme_points_iff_forall_segment.2 ⟨hxA, λ x₁ hx₁ x₂ hx₂ hx, _⟩, rw convex_iff_segment_subset at hAx, by_contra' h, exact (hAx ⟨hx₁, λ hx₁, h.1 (mem_singleton_iff.2 hx₁)⟩ ⟨hx₂, λ hx₂, h...
lemma
convex.mem_extreme_points_iff_convex_diff
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "convex", "convex_iff_segment_subset" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex.mem_extreme_points_iff_mem_diff_convex_hull_diff (hA : convex 𝕜 A) : x ∈ A.extreme_points 𝕜 ↔ x ∈ A \ convex_hull 𝕜 (A \ {x})
by rw [hA.mem_extreme_points_iff_convex_diff, hA.convex_remove_iff_not_mem_convex_hull_remove, mem_diff]
lemma
convex.mem_extreme_points_iff_mem_diff_convex_hull_diff
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "convex", "convex_hull" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
extreme_points_convex_hull_subset : (convex_hull 𝕜 A).extreme_points 𝕜 ⊆ A
begin rintro x hx, rw (convex_convex_hull 𝕜 _).mem_extreme_points_iff_convex_diff at hx, by_contra, exact (convex_hull_min (subset_diff.2 ⟨subset_convex_hull 𝕜 _, disjoint_singleton_right.2 h⟩) hx.2 hx.1).2 rfl, apply_instance end
lemma
extreme_points_convex_hull_subset
analysis.convex
src/analysis/convex/extreme.lean
[ "analysis.convex.hull" ]
[ "by_contra", "convex_convex_hull", "convex_hull", "convex_hull_min" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_on : Prop
convex 𝕜 s ∧ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → a + b = 1 → f (a • x + b • y) ≤ a • f x + b • f y
def
convex_on
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "convex" ]
Convexity of functions
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
concave_on : Prop
convex 𝕜 s ∧ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → ∀ ⦃a b : 𝕜⦄, 0 ≤ a → 0 ≤ b → a + b = 1 → a • f x + b • f y ≤ f (a • x + b • y)
def
concave_on
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "convex" ]
Concavity of functions
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
strict_convex_on : Prop
convex 𝕜 s ∧ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → x ≠ y → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 → f (a • x + b • y) < a • f x + b • f y
def
strict_convex_on
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "convex" ]
Strict convexity of functions
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
strict_concave_on : Prop
convex 𝕜 s ∧ ∀ ⦃x⦄, x ∈ s → ∀ ⦃y⦄, y ∈ s → x ≠ y → ∀ ⦃a b : 𝕜⦄, 0 < a → 0 < b → a + b = 1 → a • f x + b • f y < f (a • x + b • y)
def
strict_concave_on
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "convex" ]
Strict concavity of functions
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_on.dual (hf : convex_on 𝕜 s f) : concave_on 𝕜 s (to_dual ∘ f)
hf
lemma
convex_on.dual
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "concave_on", "convex_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
concave_on.dual (hf : concave_on 𝕜 s f) : convex_on 𝕜 s (to_dual ∘ f)
hf
lemma
concave_on.dual
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "concave_on", "convex_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
strict_convex_on.dual (hf : strict_convex_on 𝕜 s f) : strict_concave_on 𝕜 s (to_dual ∘ f)
hf
lemma
strict_convex_on.dual
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "strict_concave_on", "strict_convex_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
strict_concave_on.dual (hf : strict_concave_on 𝕜 s f) : strict_convex_on 𝕜 s (to_dual ∘ f)
hf
lemma
strict_concave_on.dual
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "strict_concave_on", "strict_convex_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
convex_on_id {s : set β} (hs : convex 𝕜 s) : convex_on 𝕜 s id
⟨hs, by { intros, refl }⟩
lemma
convex_on_id
analysis.convex
src/analysis/convex/function.lean
[ "analysis.convex.basic" ]
[ "convex", "convex_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83