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comp (hg : is_conformal_map g) (hf : is_conformal_map f) : is_conformal_map (g.comp f)
begin rcases hf with ⟨cf, hcf, lif, rfl⟩, rcases hg with ⟨cg, hcg, lig, rfl⟩, refine ⟨cg * cf, mul_ne_zero hcg hcf, lig.comp lif, _⟩, rw [smul_comp, comp_smul, mul_smul], refl end
lemma
is_conformal_map.comp
analysis.normed_space
src/analysis/normed_space/conformal_linear_map.lean
[ "analysis.normed_space.basic", "analysis.normed_space.linear_isometry" ]
[ "is_conformal_map", "mul_ne_zero" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
injective {f : M' →L[R] N} (h : is_conformal_map f) : function.injective f
by { rcases h with ⟨c, hc, li, rfl⟩, exact (smul_right_injective _ hc).comp li.injective }
lemma
is_conformal_map.injective
analysis.normed_space
src/analysis/normed_space/conformal_linear_map.lean
[ "analysis.normed_space.basic", "analysis.normed_space.linear_isometry" ]
[ "is_conformal_map", "smul_right_injective" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
ne_zero [nontrivial M'] {f' : M' →L[R] N} (hf' : is_conformal_map f') : f' ≠ 0
begin rintro rfl, rcases exists_ne (0 : M') with ⟨a, ha⟩, exact ha (hf'.injective rfl) end
lemma
is_conformal_map.ne_zero
analysis.normed_space
src/analysis/normed_space/conformal_linear_map.lean
[ "analysis.normed_space.basic", "analysis.normed_space.linear_isometry" ]
[ "exists_ne", "is_conformal_map", "ne_zero", "nontrivial" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
cont_linear (f : P →A[R] Q) : V →L[R] W
{ to_fun := f.linear, cont := by { rw affine_map.continuous_linear_iff, exact f.cont, }, .. f.linear, }
def
continuous_affine_map.cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[ "affine_map.continuous_linear_iff", "cont" ]
The linear map underlying a continuous affine map is continuous.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_cont_linear (f : P →A[R] Q) : (f.cont_linear : V → W) = f.linear
rfl
lemma
continuous_affine_map.coe_cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_cont_linear_eq_linear (f : P →A[R] Q) : (f.cont_linear : V →ₗ[R] W) = (f : P →ᵃ[R] Q).linear
by { ext, refl, }
lemma
continuous_affine_map.coe_cont_linear_eq_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_mk_const_linear_eq_linear (f : P →ᵃ[R] Q) (h) : ((⟨f, h⟩ : P →A[R] Q).cont_linear : V → W) = f.linear
rfl
lemma
continuous_affine_map.coe_mk_const_linear_eq_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_linear_eq_coe_cont_linear (f : P →A[R] Q) : ((f : P →ᵃ[R] Q).linear : V → W) = (⇑f.cont_linear : V → W)
rfl
lemma
continuous_affine_map.coe_linear_eq_coe_cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
comp_cont_linear (f : P →A[R] Q) (g : Q →A[R] Q₂) : (g.comp f).cont_linear = g.cont_linear.comp f.cont_linear
rfl
lemma
continuous_affine_map.comp_cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map_vadd (f : P →A[R] Q) (p : P) (v : V) : f (v +ᵥ p) = f.cont_linear v +ᵥ f p
f.map_vadd' p v
lemma
continuous_affine_map.map_vadd
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
cont_linear_map_vsub (f : P →A[R] Q) (p₁ p₂ : P) : f.cont_linear (p₁ -ᵥ p₂) = f p₁ -ᵥ f p₂
f.to_affine_map.linear_map_vsub p₁ p₂
lemma
continuous_affine_map.cont_linear_map_vsub
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
const_cont_linear (q : Q) : (const R P q).cont_linear = 0
rfl
lemma
continuous_affine_map.const_cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
cont_linear_eq_zero_iff_exists_const (f : P →A[R] Q) : f.cont_linear = 0 ↔ ∃ q, f = const R P q
begin have h₁ : f.cont_linear = 0 ↔ (f : P →ᵃ[R] Q).linear = 0, { refine ⟨λ h, _, λ h, _⟩; ext, { rw [← coe_cont_linear_eq_linear, h], refl, }, { rw [← coe_linear_eq_coe_cont_linear, h], refl, }, }, have h₂ : ∀ (q : Q), f = const R P q ↔ (f : P →ᵃ[R] Q) = affine_map.const R P q, { intros q, refi...
lemma
continuous_affine_map.cont_linear_eq_zero_iff_exists_const
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[ "affine_map.const" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_affine_map_cont_linear (f : V →L[R] W) : f.to_continuous_affine_map.cont_linear = f
by { ext, refl, }
lemma
continuous_affine_map.to_affine_map_cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
zero_cont_linear : (0 : P →A[R] W).cont_linear = 0
rfl
lemma
continuous_affine_map.zero_cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
add_cont_linear (f g : P →A[R] W) : (f + g).cont_linear = f.cont_linear + g.cont_linear
rfl
lemma
continuous_affine_map.add_cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
sub_cont_linear (f g : P →A[R] W) : (f - g).cont_linear = f.cont_linear - g.cont_linear
rfl
lemma
continuous_affine_map.sub_cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
neg_cont_linear (f : P →A[R] W) : (-f).cont_linear = -f.cont_linear
rfl
lemma
continuous_affine_map.neg_cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
smul_cont_linear (t : R) (f : P →A[R] W) : (t • f).cont_linear = t • f.cont_linear
rfl
lemma
continuous_affine_map.smul_cont_linear
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
decomp (f : V →A[R] W) : (f : V → W) = f.cont_linear + function.const V (f 0)
begin rcases f with ⟨f, h⟩, rw [coe_mk_const_linear_eq_linear, coe_mk, f.decomp, pi.add_apply, linear_map.map_zero, zero_add], end
lemma
continuous_affine_map.decomp
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[ "linear_map.map_zero" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
has_norm : has_norm (V →A[𝕜] W)
⟨λ f, max ‖f 0‖ ‖f.cont_linear‖⟩
instance
continuous_affine_map.has_norm
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[ "has_norm" ]
Note that unlike the operator norm for linear maps, this norm is _not_ submultiplicative: we do _not_ necessarily have `‖f.comp g‖ ≤ ‖f‖ * ‖g‖`. See `norm_comp_le` for what we can say.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_def : ‖f‖ = (max ‖f 0‖ ‖f.cont_linear‖)
rfl
lemma
continuous_affine_map.norm_def
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_cont_linear_le : ‖f.cont_linear‖ ≤ ‖f‖
le_max_right _ _
lemma
continuous_affine_map.norm_cont_linear_le
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_image_zero_le : ‖f 0‖ ≤ ‖f‖
le_max_left _ _
lemma
continuous_affine_map.norm_image_zero_le
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_eq (h : f 0 = 0) : ‖f‖ = ‖f.cont_linear‖
calc ‖f‖ = (max ‖f 0‖ ‖f.cont_linear‖) : by rw norm_def ... = (max 0 ‖f.cont_linear‖) : by rw [h, norm_zero] ... = ‖f.cont_linear‖ : max_eq_right (norm_nonneg _)
lemma
continuous_affine_map.norm_eq
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_comp_le (g : W₂ →A[𝕜] V) : ‖f.comp g‖ ≤ ‖f‖ * ‖g‖ + ‖f 0‖
begin rw [norm_def, max_le_iff], split, { calc ‖f.comp g 0‖ = ‖f (g 0)‖ : by simp ... = ‖f.cont_linear (g 0) + f 0‖ : by { rw f.decomp, simp, } ... ≤ ‖f.cont_linear‖ * ‖g 0‖ + ‖f 0‖ : (norm_add_le _ _).trans (add_le_add_right (f.cont_linear.le_op_norm _)...
lemma
continuous_affine_map.norm_comp_le
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[ "max_le_iff", "mul_le_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_const_prod_continuous_linear_map : (V →A[𝕜] W) ≃ₗᵢ[𝕜] W × (V →L[𝕜] W)
{ to_fun := λ f, ⟨f 0, f.cont_linear⟩, inv_fun := λ p, p.2.to_continuous_affine_map + const 𝕜 V p.1, left_inv := λ f, by { ext, rw f.decomp, simp, }, right_inv := by { rintros ⟨v, f⟩, ext; simp, }, map_add' := λ _ _, rfl, map_smul' := λ _ _, rfl, norm_map' := λ f, rfl }
def
continuous_affine_map.to_const_prod_continuous_linear_map
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[ "inv_fun" ]
The space of affine maps between two normed spaces is linearly isometric to the product of the codomain with the space of linear maps, by taking the value of the affine map at `(0 : V)` and the linear part.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_const_prod_continuous_linear_map_fst (f : V →A[𝕜] W) : (to_const_prod_continuous_linear_map 𝕜 V W f).fst = f 0
rfl
lemma
continuous_affine_map.to_const_prod_continuous_linear_map_fst
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_const_prod_continuous_linear_map_snd (f : V →A[𝕜] W) : (to_const_prod_continuous_linear_map 𝕜 V W f).snd = f.cont_linear
rfl
lemma
continuous_affine_map.to_const_prod_continuous_linear_map_snd
analysis.normed_space
src/analysis/normed_space/continuous_affine_map.lean
[ "topology.algebra.continuous_affine_map", "analysis.normed_space.affine_isometry", "analysis.normed_space.operator_norm" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_map.mk_continuous (C : ℝ) (h : ∀x, ‖f x‖ ≤ C * ‖x‖) : E →SL[σ] F
⟨f, add_monoid_hom_class.continuous_of_bound f C h⟩
def
linear_map.mk_continuous
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
Construct a continuous linear map from a linear map and a bound on this linear map. The fact that the norm of the continuous linear map is then controlled is given in `linear_map.mk_continuous_norm_le`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_map.mk_continuous_of_exists_bound (h : ∃C, ∀x, ‖f x‖ ≤ C * ‖x‖) : E →SL[σ] F
⟨f, let ⟨C, hC⟩ := h in add_monoid_hom_class.continuous_of_bound f C hC⟩
def
linear_map.mk_continuous_of_exists_bound
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
Construct a continuous linear map from a linear map and the existence of a bound on this linear map. If you have an explicit bound, use `linear_map.mk_continuous` instead, as a norm estimate will follow automatically in `linear_map.mk_continuous_norm_le`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
continuous_of_linear_of_boundₛₗ {f : E → F} (h_add : ∀ x y, f (x + y) = f x + f y) (h_smul : ∀ (c : 𝕜) x, f (c • x) = (σ c) • f x) {C : ℝ} (h_bound : ∀ x, ‖f x‖ ≤ C*‖x‖) : continuous f
let φ : E →ₛₗ[σ] F := { to_fun := f, map_add' := h_add, map_smul' := h_smul } in add_monoid_hom_class.continuous_of_bound φ C h_bound
lemma
continuous_of_linear_of_boundₛₗ
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "continuous" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
continuous_of_linear_of_bound {f : E → G} (h_add : ∀ x y, f (x + y) = f x + f y) (h_smul : ∀ (c : 𝕜) x, f (c • x) = c • f x) {C : ℝ} (h_bound : ∀ x, ‖f x‖ ≤ C*‖x‖) : continuous f
let φ : E →ₗ[𝕜] G := { to_fun := f, map_add' := h_add, map_smul' := h_smul } in add_monoid_hom_class.continuous_of_bound φ C h_bound
lemma
continuous_of_linear_of_bound
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "continuous" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_map.mk_continuous_coe (C : ℝ) (h : ∀x, ‖f x‖ ≤ C * ‖x‖) : ((f.mk_continuous C h) : E →ₛₗ[σ] F) = f
rfl
lemma
linear_map.mk_continuous_coe
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_map.mk_continuous_apply (C : ℝ) (h : ∀x, ‖f x‖ ≤ C * ‖x‖) (x : E) : f.mk_continuous C h x = f x
rfl
lemma
linear_map.mk_continuous_apply
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_map.mk_continuous_of_exists_bound_coe (h : ∃C, ∀x, ‖f x‖ ≤ C * ‖x‖) : ((f.mk_continuous_of_exists_bound h) : E →ₛₗ[σ] F) = f
rfl
lemma
linear_map.mk_continuous_of_exists_bound_coe
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_map.mk_continuous_of_exists_bound_apply (h : ∃C, ∀x, ‖f x‖ ≤ C * ‖x‖) (x : E) : f.mk_continuous_of_exists_bound h x = f x
rfl
lemma
linear_map.mk_continuous_of_exists_bound_apply
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
antilipschitz_of_bound (f : E →SL[σ] F) {K : ℝ≥0} (h : ∀ x, ‖x‖ ≤ K * ‖f x‖) : antilipschitz_with K f
add_monoid_hom_class.antilipschitz_of_bound _ h
theorem
continuous_linear_map.antilipschitz_of_bound
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "antilipschitz_with" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
bound_of_antilipschitz (f : E →SL[σ] F) {K : ℝ≥0} (h : antilipschitz_with K f) (x) : ‖x‖ ≤ K * ‖f x‖
zero_hom_class.bound_of_antilipschitz _ h x
lemma
continuous_linear_map.bound_of_antilipschitz
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "antilipschitz_with" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_equiv.to_continuous_linear_equiv_of_bounds (e : E ≃ₛₗ[σ] F) (C_to C_inv : ℝ) (h_to : ∀ x, ‖e x‖ ≤ C_to * ‖x‖) (h_inv : ∀ x : F, ‖e.symm x‖ ≤ C_inv * ‖x‖) : E ≃SL[σ] F
{ to_linear_equiv := e, continuous_to_fun := add_monoid_hom_class.continuous_of_bound e C_to h_to, continuous_inv_fun := add_monoid_hom_class.continuous_of_bound e.symm C_inv h_inv }
def
linear_equiv.to_continuous_linear_equiv_of_bounds
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
Construct a continuous linear equivalence from a linear equivalence together with bounds in both directions.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_map.to_continuous_linear_map₁ (f : 𝕜 →ₗ[𝕜] E) : 𝕜 →L[𝕜] E
f.mk_continuous (‖f 1‖) $ λ x, by { conv_lhs { rw ← mul_one x }, rw [← smul_eq_mul, f.map_smul, mul_comm],exact norm_smul_le _ _ }
def
linear_map.to_continuous_linear_map₁
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "mul_comm", "mul_one", "norm_smul_le", "smul_eq_mul" ]
Reinterpret a linear map `𝕜 →ₗ[𝕜] E` as a continuous linear map. This construction is generalized to the case of any finite dimensional domain in `linear_map.to_continuous_linear_map`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_map.to_continuous_linear_map₁_coe (f : 𝕜 →ₗ[𝕜] E) : (f.to_continuous_linear_map₁ : 𝕜 →ₗ[𝕜] E) = f
rfl
lemma
linear_map.to_continuous_linear_map₁_coe
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linear_map.to_continuous_linear_map₁_apply (f : 𝕜 →ₗ[𝕜] E) (x) : f.to_continuous_linear_map₁ x = f x
rfl
lemma
linear_map.to_continuous_linear_map₁_apply
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
continuous_linear_map.uniform_embedding_of_bound {K : ℝ≥0} (hf : ∀ x, ‖x‖ ≤ K * ‖f x‖) : uniform_embedding f
(add_monoid_hom_class.antilipschitz_of_bound f hf).uniform_embedding f.uniform_continuous
theorem
continuous_linear_map.uniform_embedding_of_bound
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "uniform_embedding" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
continuous_linear_map.of_homothety (f : E →ₛₗ[σ] F) (a : ℝ) (hf : ∀x, ‖f x‖ = a * ‖x‖) : E →SL[σ] F
f.mk_continuous a (λ x, le_of_eq (hf x))
def
continuous_linear_map.of_homothety
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
A (semi-)linear map which is a homothety is a continuous linear map. Since the field `𝕜` need not have `ℝ` as a subfield, this theorem is not directly deducible from the corresponding theorem about isometries plus a theorem about scalar multiplication. Likewise for the other theorems about homotheties in ...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
continuous_linear_equiv.homothety_inverse (a : ℝ) (ha : 0 < a) (f : E ≃ₛₗ[σ] F) : (∀ (x : E), ‖f x‖ = a * ‖x‖) → (∀ (y : F), ‖f.symm y‖ = a⁻¹ * ‖y‖)
begin intros hf y, calc ‖(f.symm) y‖ = a⁻¹ * (a * ‖ (f.symm) y‖) : _ ... = a⁻¹ * ‖f ((f.symm) y)‖ : by rw hf ... = a⁻¹ * ‖y‖ : by simp, rw [← mul_assoc, inv_mul_cancel (ne_of_lt ha).symm, one_mul], end
lemma
continuous_linear_equiv.homothety_inverse
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "inv_mul_cancel", "mul_assoc", "one_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
continuous_linear_equiv.of_homothety (f : E ≃ₛₗ[σ] F) (a : ℝ) (ha : 0 < a) (hf : ∀x, ‖f x‖ = a * ‖x‖) : E ≃SL[σ] F
linear_equiv.to_continuous_linear_equiv_of_bounds f a a⁻¹ (λ x, (hf x).le) (λ x, (continuous_linear_equiv.homothety_inverse a ha f hf x).le)
def
continuous_linear_equiv.of_homothety
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "continuous_linear_equiv.homothety_inverse", "linear_equiv.to_continuous_linear_equiv_of_bounds" ]
A linear equivalence which is a homothety is a continuous linear equivalence.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_span_singleton_homothety (x : E) (c : 𝕜) : ‖linear_map.to_span_singleton 𝕜 E x c‖ = ‖x‖ * ‖c‖
by {rw mul_comm, exact norm_smul _ _}
lemma
continuous_linear_map.to_span_singleton_homothety
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "mul_comm", "norm_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_span_nonzero_singleton_homothety (x : E) (h : x ≠ 0) (c : 𝕜) : ‖linear_equiv.to_span_nonzero_singleton 𝕜 E x h c‖ = ‖x‖ * ‖c‖
continuous_linear_map.to_span_singleton_homothety _ _ _
lemma
continuous_linear_equiv.to_span_nonzero_singleton_homothety
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "continuous_linear_map.to_span_singleton_homothety" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_span_nonzero_singleton (x : E) (h : x ≠ 0) : 𝕜 ≃L[𝕜] (𝕜 ∙ x)
of_homothety (linear_equiv.to_span_nonzero_singleton 𝕜 E x h) ‖x‖ (norm_pos_iff.mpr h) (to_span_nonzero_singleton_homothety 𝕜 x h)
def
continuous_linear_equiv.to_span_nonzero_singleton
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "linear_equiv.to_span_nonzero_singleton" ]
Given a nonzero element `x` of a normed space `E₁` over a field `𝕜`, the natural continuous linear equivalence from `E₁` to the span of `x`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coord (x : E) (h : x ≠ 0) : (𝕜 ∙ x) →L[𝕜] 𝕜
(to_span_nonzero_singleton 𝕜 x h).symm
def
continuous_linear_equiv.coord
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
Given a nonzero element `x` of a normed space `E₁` over a field `𝕜`, the natural continuous linear map from the span of `x` to `𝕜`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_to_span_nonzero_singleton_symm {x : E} (h : x ≠ 0) : ⇑(to_span_nonzero_singleton 𝕜 x h).symm = coord 𝕜 x h
rfl
lemma
continuous_linear_equiv.coe_to_span_nonzero_singleton_symm
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coord_to_span_nonzero_singleton {x : E} (h : x ≠ 0) (c : 𝕜) : coord 𝕜 x h (to_span_nonzero_singleton 𝕜 x h c) = c
(to_span_nonzero_singleton 𝕜 x h).symm_apply_apply c
lemma
continuous_linear_equiv.coord_to_span_nonzero_singleton
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_span_nonzero_singleton_coord {x : E} (h : x ≠ 0) (y : 𝕜 ∙ x) : to_span_nonzero_singleton 𝕜 x h (coord 𝕜 x h y) = y
(to_span_nonzero_singleton 𝕜 x h).apply_symm_apply y
lemma
continuous_linear_equiv.to_span_nonzero_singleton_coord
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coord_self (x : E) (h : x ≠ 0) : (coord 𝕜 x h) (⟨x, submodule.mem_span_singleton_self x⟩ : 𝕜 ∙ x) = 1
linear_equiv.coord_self 𝕜 E x h
lemma
continuous_linear_equiv.coord_self
analysis.normed_space
src/analysis/normed_space/continuous_linear_map.lean
[ "analysis.normed_space.basic" ]
[ "linear_equiv.coord_self", "submodule.mem_span_singleton_self" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
dual
E →L[𝕜] 𝕜
def
normed_space.dual
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[]
The topological dual of a seminormed space `E`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inclusion_in_double_dual : E →L[𝕜] (dual 𝕜 (dual 𝕜 E))
continuous_linear_map.apply 𝕜 𝕜
def
normed_space.inclusion_in_double_dual
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "continuous_linear_map.apply" ]
The inclusion of a normed space in its double (topological) dual, considered as a bounded linear map.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
dual_def (x : E) (f : dual 𝕜 E) : inclusion_in_double_dual 𝕜 E x f = f x
rfl
lemma
normed_space.dual_def
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inclusion_in_double_dual_norm_eq : ‖inclusion_in_double_dual 𝕜 E‖ = ‖(continuous_linear_map.id 𝕜 (dual 𝕜 E))‖
continuous_linear_map.op_norm_flip _
lemma
normed_space.inclusion_in_double_dual_norm_eq
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "continuous_linear_map.id", "continuous_linear_map.op_norm_flip" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inclusion_in_double_dual_norm_le : ‖inclusion_in_double_dual 𝕜 E‖ ≤ 1
by { rw inclusion_in_double_dual_norm_eq, exact continuous_linear_map.norm_id_le }
lemma
normed_space.inclusion_in_double_dual_norm_le
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "continuous_linear_map.norm_id_le" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
double_dual_bound (x : E) : ‖(inclusion_in_double_dual 𝕜 E) x‖ ≤ ‖x‖
by simpa using continuous_linear_map.le_of_op_norm_le _ (inclusion_in_double_dual_norm_le 𝕜 E) x
lemma
normed_space.double_dual_bound
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "continuous_linear_map.le_of_op_norm_le" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
dual_pairing : (dual 𝕜 E) →ₗ[𝕜] E →ₗ[𝕜] 𝕜
continuous_linear_map.coe_lm 𝕜
def
normed_space.dual_pairing
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "continuous_linear_map.coe_lm" ]
The dual pairing as a bilinear form.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
dual_pairing_apply {v : dual 𝕜 E} {x : E} : dual_pairing 𝕜 E v x = v x
rfl
lemma
normed_space.dual_pairing_apply
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "dual_pairing_apply" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
dual_pairing_separating_left : (dual_pairing 𝕜 E).separating_left
begin rw [linear_map.separating_left_iff_ker_eq_bot, linear_map.ker_eq_bot], exact continuous_linear_map.coe_injective, end
lemma
normed_space.dual_pairing_separating_left
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "continuous_linear_map.coe_injective", "linear_map.ker_eq_bot", "linear_map.separating_left_iff_ker_eq_bot" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_le_dual_bound (x : E) {M : ℝ} (hMp: 0 ≤ M) (hM : ∀ (f : dual 𝕜 E), ‖f x‖ ≤ M * ‖f‖) : ‖x‖ ≤ M
begin classical, by_cases h : x = 0, { simp only [h, hMp, norm_zero] }, { obtain ⟨f, hf₁, hfx⟩ : ∃ f : E →L[𝕜] 𝕜, ‖f‖ = 1 ∧ f x = ‖x‖ := exists_dual_vector 𝕜 x h, calc ‖x‖ = ‖(‖x‖ : 𝕜)‖ : is_R_or_C.norm_coe_norm.symm ... = ‖f x‖ : by rw hfx ... ≤ M * ‖f‖ : hM f ... = M : by rw [hf₁, mul_one]...
lemma
normed_space.norm_le_dual_bound
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "exists_dual_vector", "mul_one" ]
If one controls the norm of every `f x`, then one controls the norm of `x`. Compare `continuous_linear_map.op_norm_le_bound`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_zero_of_forall_dual_eq_zero {x : E} (h : ∀ f : dual 𝕜 E, f x = (0 : 𝕜)) : x = 0
norm_le_zero_iff.mp (norm_le_dual_bound 𝕜 x le_rfl (λ f, by simp [h f]))
lemma
normed_space.eq_zero_of_forall_dual_eq_zero
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "le_rfl" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_zero_iff_forall_dual_eq_zero (x : E) : x = 0 ↔ ∀ g : dual 𝕜 E, g x = 0
⟨λ hx, by simp [hx], λ h, eq_zero_of_forall_dual_eq_zero 𝕜 h⟩
lemma
normed_space.eq_zero_iff_forall_dual_eq_zero
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_iff_forall_dual_eq {x y : E} : x = y ↔ ∀ g : dual 𝕜 E, g x = g y
begin rw [← sub_eq_zero, eq_zero_iff_forall_dual_eq_zero 𝕜 (x - y)], simp [sub_eq_zero], end
lemma
normed_space.eq_iff_forall_dual_eq
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[]
See also `geometric_hahn_banach_point_point`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inclusion_in_double_dual_li : E →ₗᵢ[𝕜] (dual 𝕜 (dual 𝕜 E))
{ norm_map' := begin intros x, apply le_antisymm, { exact double_dual_bound 𝕜 E x }, rw continuous_linear_map.norm_def, refine le_cInf continuous_linear_map.bounds_nonempty _, rintros c ⟨hc1, hc2⟩, exact norm_le_dual_bound 𝕜 x hc1 hc2 end, .. inclusion_in_double_dual 𝕜 E }
def
normed_space.inclusion_in_double_dual_li
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "continuous_linear_map.bounds_nonempty", "continuous_linear_map.norm_def", "le_cInf" ]
The inclusion of a normed space in its double dual is an isometry onto its image.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
polar (𝕜 : Type*) [nontrivially_normed_field 𝕜] {E : Type*} [seminormed_add_comm_group E] [normed_space 𝕜 E] : set E → set (dual 𝕜 E)
(dual_pairing 𝕜 E).flip.polar
def
normed_space.polar
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "nontrivially_normed_field", "normed_space", "seminormed_add_comm_group" ]
Given a subset `s` in a normed space `E` (over a field `𝕜`), the polar `polar 𝕜 s` is the subset of `dual 𝕜 E` consisting of those functionals which evaluate to something of norm at most one at all points `z ∈ s`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mem_polar_iff {x' : dual 𝕜 E} (s : set E) : x' ∈ polar 𝕜 s ↔ ∀ z ∈ s, ‖x' z‖ ≤ 1
iff.rfl
lemma
normed_space.mem_polar_iff
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
polar_univ : polar 𝕜 (univ : set E) = {(0 : dual 𝕜 E)}
(dual_pairing 𝕜 E).flip.polar_univ (linear_map.flip_separating_right.mpr (dual_pairing_separating_left 𝕜 E))
lemma
normed_space.polar_univ
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_closed_polar (s : set E) : is_closed (polar 𝕜 s)
begin dunfold normed_space.polar, simp only [linear_map.polar_eq_Inter, linear_map.flip_apply], refine is_closed_bInter (λ z hz, _), exact is_closed_Iic.preimage (continuous_linear_map.apply 𝕜 𝕜 z).continuous.norm end
lemma
normed_space.is_closed_polar
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "continuous_linear_map.apply", "is_closed", "is_closed_bInter", "linear_map.flip_apply", "linear_map.polar_eq_Inter", "normed_space.polar" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
polar_closure (s : set E) : polar 𝕜 (closure s) = polar 𝕜 s
((dual_pairing 𝕜 E).flip.polar_antitone subset_closure).antisymm $ (dual_pairing 𝕜 E).flip.polar_gc.l_le $ closure_minimal ((dual_pairing 𝕜 E).flip.polar_gc.le_u_l s) $ by simpa [linear_map.flip_flip] using (is_closed_polar _ _).preimage (inclusion_in_double_dual 𝕜 E).continuous
lemma
normed_space.polar_closure
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "closure", "closure_minimal", "continuous", "linear_map.flip_flip", "subset_closure" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
smul_mem_polar {s : set E} {x' : dual 𝕜 E} {c : 𝕜} (hc : ∀ z, z ∈ s → ‖ x' z ‖ ≤ ‖c‖) : c⁻¹ • x' ∈ polar 𝕜 s
begin by_cases c_zero : c = 0, { simp only [c_zero, inv_zero, zero_smul], exact (dual_pairing 𝕜 E).flip.zero_mem_polar _ }, have eq : ∀ z, ‖ c⁻¹ • (x' z) ‖ = ‖ c⁻¹ ‖ * ‖ x' z ‖ := λ z, norm_smul c⁻¹ _, have le : ∀ z, z ∈ s → ‖ c⁻¹ • (x' z) ‖ ≤ ‖ c⁻¹ ‖ * ‖ c ‖, { intros z hzs, rw eq z, apply mul_le_...
lemma
normed_space.smul_mem_polar
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "inv_mul_cancel", "inv_zero", "mul_le_mul", "norm_eq_zero", "norm_inv", "norm_smul", "zero_smul" ]
If `x'` is a dual element such that the norms `‖x' z‖` are bounded for `z ∈ s`, then a small scalar multiple of `x'` is in `polar 𝕜 s`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
polar_ball_subset_closed_ball_div {c : 𝕜} (hc : 1 < ‖c‖) {r : ℝ} (hr : 0 < r) : polar 𝕜 (ball (0 : E) r) ⊆ closed_ball (0 : dual 𝕜 E) (‖c‖ / r)
begin intros x' hx', rw mem_polar_iff at hx', simp only [polar, mem_set_of_eq, mem_closed_ball_zero_iff, mem_ball_zero_iff] at *, have hcr : 0 < ‖c‖ / r, from div_pos (zero_lt_one.trans hc) hr, refine continuous_linear_map.op_norm_le_of_shell hr hcr.le hc (λ x h₁ h₂, _), calc ‖x' x‖ ≤ 1 : hx' _ h₂ ... ≤ (...
lemma
normed_space.polar_ball_subset_closed_ball_div
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "continuous_linear_map.op_norm_le_of_shell", "div_pos", "inv_div", "inv_pos_le_iff_one_le_mul'" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
closed_ball_inv_subset_polar_closed_ball {r : ℝ} : closed_ball (0 : dual 𝕜 E) r⁻¹ ⊆ polar 𝕜 (closed_ball (0 : E) r)
λ x' hx' x hx, calc ‖x' x‖ ≤ ‖x'‖ * ‖x‖ : x'.le_op_norm x ... ≤ r⁻¹ * r : mul_le_mul (mem_closed_ball_zero_iff.1 hx') (mem_closed_ball_zero_iff.1 hx) (norm_nonneg _) (dist_nonneg.trans hx') ... = r / r : inv_mul_eq_div _ _ ... ≤ 1 : div_self_le_one r
lemma
normed_space.closed_ball_inv_subset_polar_closed_ball
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "div_self_le_one", "inv_mul_eq_div", "mul_le_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
polar_closed_ball {𝕜 E : Type*} [is_R_or_C 𝕜] [normed_add_comm_group E] [normed_space 𝕜 E] {r : ℝ} (hr : 0 < r) : polar 𝕜 (closed_ball (0 : E) r) = closed_ball (0 : dual 𝕜 E) r⁻¹
begin refine subset.antisymm _ (closed_ball_inv_subset_polar_closed_ball _), intros x' h, simp only [mem_closed_ball_zero_iff], refine continuous_linear_map.op_norm_le_of_ball hr (inv_nonneg.mpr hr.le) (λ z hz, _), simpa only [one_div] using linear_map.bound_of_ball_bound' hr 1 x'.to_linear_map h z end
lemma
normed_space.polar_closed_ball
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "continuous_linear_map.op_norm_le_of_ball", "is_R_or_C", "linear_map.bound_of_ball_bound'", "normed_add_comm_group", "normed_space", "one_div" ]
The `polar` of closed ball in a normed space `E` is the closed ball of the dual with inverse radius.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
bounded_polar_of_mem_nhds_zero {s : set E} (s_nhd : s ∈ 𝓝 (0 : E)) : bounded (polar 𝕜 s)
begin obtain ⟨a, ha⟩ : ∃ a : 𝕜, 1 < ‖a‖ := normed_field.exists_one_lt_norm 𝕜, obtain ⟨r, r_pos, r_ball⟩ : ∃ (r : ℝ) (hr : 0 < r), ball 0 r ⊆ s := metric.mem_nhds_iff.1 s_nhd, exact bounded_closed_ball.mono (((dual_pairing 𝕜 E).flip.polar_antitone r_ball).trans $ polar_ball_subset_closed_ball_div ha r_p...
lemma
normed_space.bounded_polar_of_mem_nhds_zero
analysis.normed_space
src/analysis/normed_space/dual.lean
[ "analysis.normed_space.hahn_banach.extension", "analysis.normed_space.is_R_or_C", "analysis.locally_convex.polar" ]
[ "normed_field.exists_one_lt_norm" ]
Given a neighborhood `s` of the origin in a normed space `E`, the dual norms of all elements of the polar `polar 𝕜 s` are bounded by a constant.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
exp_eps : exp 𝕜 (eps : dual_number R) = 1 + eps
exp_inr _ _
lemma
dual_number.exp_eps
analysis.normed_space
src/analysis/normed_space/dual_number.lean
[ "algebra.dual_number", "analysis.normed_space.triv_sq_zero_ext" ]
[ "dual_number", "exp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
exp_smul_eps (r : R) : exp 𝕜 (r • eps : dual_number R) = 1 + r • eps
by rw [eps, ←inr_smul, exp_inr]
lemma
dual_number.exp_smul_eps
analysis.normed_space
src/analysis/normed_space/dual_number.lean
[ "algebra.dual_number", "analysis.normed_space.triv_sq_zero_ext" ]
[ "dual_number", "exp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
enorm (𝕜 : Type*) (V : Type*) [normed_field 𝕜] [add_comm_group V] [module 𝕜 V]
(to_fun : V → ℝ≥0∞) (eq_zero' : ∀ x, to_fun x = 0 → x = 0) (map_add_le' : ∀ x y : V, to_fun (x + y) ≤ to_fun x + to_fun y) (map_smul_le' : ∀ (c : 𝕜) (x : V), to_fun (c • x) ≤ ‖c‖₊ * to_fun x)
structure
enorm
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "add_comm_group", "module", "normed_field" ]
Extended norm on a vector space. As in the case of normed spaces, we require only `‖c • x‖ ≤ ‖c‖ * ‖x‖` in the definition, then prove an equality in `map_smul`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_fn_injective : function.injective (coe_fn : enorm 𝕜 V → (V → ℝ≥0∞))
λ e₁ e₂ h, by cases e₁; cases e₂; congr; exact h
lemma
enorm.coe_fn_injective
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "enorm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
ext {e₁ e₂ : enorm 𝕜 V} (h : ∀ x, e₁ x = e₂ x) : e₁ = e₂
coe_fn_injective $ funext h
lemma
enorm.ext
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "enorm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
ext_iff {e₁ e₂ : enorm 𝕜 V} : e₁ = e₂ ↔ ∀ x, e₁ x = e₂ x
⟨λ h x, h ▸ rfl, ext⟩
lemma
enorm.ext_iff
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "enorm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_inj {e₁ e₂ : enorm 𝕜 V} : (e₁ : V → ℝ≥0∞) = e₂ ↔ e₁ = e₂
coe_fn_injective.eq_iff
lemma
enorm.coe_inj
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "enorm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map_smul (c : 𝕜) (x : V) : e (c • x) = ‖c‖₊ * e x
le_antisymm (e.map_smul_le' c x) $ begin by_cases hc : c = 0, { simp [hc] }, calc (‖c‖₊ : ℝ≥0∞) * e x = ‖c‖₊ * e (c⁻¹ • c • x) : by rw [inv_smul_smul₀ hc] ... ≤ ‖c‖₊ * (‖c⁻¹‖₊ * e (c • x)) : _ ... = e (c • x) : _, { exact mul_le_mul_left' (e.map_smul_le' _ _) _ }, { rw [← mul_assoc, nnnorm_inv, ennreal.coe_...
lemma
enorm.map_smul
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "ennreal.coe_inv", "ennreal.coe_ne_top", "ennreal.mul_inv_cancel", "inv_smul_smul₀", "mul_assoc", "mul_le_mul_left'", "nnnorm_inv", "one_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map_zero : e 0 = 0
by { rw [← zero_smul 𝕜 (0:V), e.map_smul], norm_num }
lemma
enorm.map_zero
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "zero_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_zero_iff {x : V} : e x = 0 ↔ x = 0
⟨e.eq_zero' x, λ h, h.symm ▸ e.map_zero⟩
lemma
enorm.eq_zero_iff
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "eq_zero_iff" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map_neg (x : V) : e (-x) = e x
calc e (-x) = ‖(-1 : 𝕜)‖₊ * e x : by rw [← map_smul, neg_one_smul] ... = e x : by simp
lemma
enorm.map_neg
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "neg_one_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map_sub_rev (x y : V) : e (x - y) = e (y - x)
by rw [← neg_sub, e.map_neg]
lemma
enorm.map_sub_rev
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map_add_le (x y : V) : e (x + y) ≤ e x + e y
e.map_add_le' x y
lemma
enorm.map_add_le
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map_sub_le (x y : V) : e (x - y) ≤ e x + e y
calc e (x - y) = e (x + -y) : by rw sub_eq_add_neg ... ≤ e x + e (-y) : e.map_add_le x (-y) ... = e x + e y : by rw [e.map_neg]
lemma
enorm.map_sub_le
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
top_map {x : V} (hx : x ≠ 0) : (⊤ : enorm 𝕜 V) x = ⊤
if_neg hx
lemma
enorm.top_map
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "enorm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_max (e₁ e₂ : enorm 𝕜 V) : ⇑(e₁ ⊔ e₂) = λ x, max (e₁ x) (e₂ x)
rfl
lemma
enorm.coe_max
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "enorm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
max_map (e₁ e₂ : enorm 𝕜 V) (x : V) : (e₁ ⊔ e₂) x = max (e₁ x) (e₂ x)
rfl
lemma
enorm.max_map
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "enorm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
emetric_space : emetric_space V
{ edist := λ x y, e (x - y), edist_self := λ x, by simp, eq_of_edist_eq_zero := λ x y, by simp [sub_eq_zero], edist_comm := e.map_sub_rev, edist_triangle := λ x y z, calc e (x - z) = e ((x - y) + (y - z)) : by rw [sub_add_sub_cancel] ... ≤ e (x - y) + e (y - z) : e.map_add_le (x - y) (y - z) ...
def
enorm.emetric_space
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "emetric_space" ]
Structure of an `emetric_space` defined by an extended norm.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
finite_subspace : subspace 𝕜 V
{ carrier := {x | e x < ⊤}, zero_mem' := by simp, add_mem' := λ x y hx hy, lt_of_le_of_lt (e.map_add_le x y) (ennreal.add_lt_top.2 ⟨hx, hy⟩), smul_mem' := λ c x (hx : _ < _), calc e (c • x) = ‖c‖₊ * e x : e.map_smul c x ... < ⊤ : ennreal.mul_lt_top ennreal.coe_ne_top hx.ne }
def
enorm.finite_subspace
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[ "ennreal.coe_ne_top", "ennreal.mul_lt_top", "subspace" ]
The subspace of vectors with finite enorm.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
finite_dist_eq (x y : e.finite_subspace) : dist x y = (e (x - y)).to_real
rfl
lemma
enorm.finite_dist_eq
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
finite_edist_eq (x y : e.finite_subspace) : edist x y = e (x - y)
rfl
lemma
enorm.finite_edist_eq
analysis.normed_space
src/analysis/normed_space/enorm.lean
[ "analysis.normed_space.basic" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83