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_root_.continuous.prod_map_equivL {f : X → M₁ ≃L[𝕜] M₂} {g : X → M₃ ≃L[𝕜] M₄} (hf : continuous (λ x, (f x : M₁ →L[𝕜] M₂))) (hg : continuous (λ x, (g x : M₃ →L[𝕜] M₄))) : continuous (λ x, ((f x).prod (g x) : M₁ × M₃ →L[𝕜] M₂ × M₄))
(prod_mapL 𝕜 M₁ M₂ M₃ M₄).continuous.comp (hf.prod_mk hg)
lemma
continuous.prod_map_equivL
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous", "continuous.comp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
_root_.continuous_on.prod_mapL {f : X → M₁ →L[𝕜] M₂} {g : X → M₃ →L[𝕜] M₄} {s : set X} (hf : continuous_on f s) (hg : continuous_on g s) : continuous_on (λ x, (f x).prod_map (g x)) s
((prod_mapL 𝕜 M₁ M₂ M₃ M₄).continuous.comp_continuous_on (hf.prod hg) : _)
lemma
continuous_on.prod_mapL
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous.comp_continuous_on", "continuous_on", "prod_map" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
_root_.continuous_on.prod_map_equivL {f : X → M₁ ≃L[𝕜] M₂} {g : X → M₃ ≃L[𝕜] M₄} {s : set X} (hf : continuous_on (λ x, (f x : M₁ →L[𝕜] M₂)) s) (hg : continuous_on (λ x, (g x : M₃ →L[𝕜] M₄)) s) : continuous_on (λ x, ((f x).prod (g x) : M₁ × M₃ →L[𝕜] M₂ × M₄)) s
(prod_mapL 𝕜 M₁ M₂ M₃ M₄).continuous.comp_continuous_on (hf.prod hg)
lemma
continuous_on.prod_map_equivL
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous.comp_continuous_on", "continuous_on" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mul : 𝕜' →L[𝕜] 𝕜' →L[𝕜] 𝕜'
(linear_map.mul 𝕜 𝕜').mk_continuous₂ 1 $ λ x y, by simpa using norm_mul_le x y
def
continuous_linear_map.mul
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "linear_map.mul", "norm_mul_le" ]
Multiplication in a non-unital normed algebra as a continuous bilinear map.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mul_apply' (x y : 𝕜') : mul 𝕜 𝕜' x y = x * y
rfl
lemma
continuous_linear_map.mul_apply'
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_mul_apply_le (x : 𝕜') : ‖mul 𝕜 𝕜' x‖ ≤ ‖x‖
(op_norm_le_bound _ (norm_nonneg x) (norm_mul_le x))
lemma
continuous_linear_map.op_norm_mul_apply_le
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "norm_mul_le" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_mul_le : ‖mul 𝕜 𝕜'‖ ≤ 1
linear_map.mk_continuous₂_norm_le _ zero_le_one _
lemma
continuous_linear_map.op_norm_mul_le
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "linear_map.mk_continuous₂_norm_le", "zero_le_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mul_left_right : 𝕜' →L[𝕜] 𝕜' →L[𝕜] 𝕜' →L[𝕜] 𝕜'
((compL 𝕜 𝕜' 𝕜' 𝕜').comp (mul 𝕜 𝕜').flip).flip.comp (mul 𝕜 𝕜')
def
continuous_linear_map.mul_left_right
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
Simultaneous left- and right-multiplication in a non-unital normed algebra, considered as a continuous trilinear map. This is akin to its non-continuous version `linear_map.mul_left_right`, but there is a minor difference: `linear_map.mul_left_right` is uncurried.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mul_left_right_apply (x y z : 𝕜') : mul_left_right 𝕜 𝕜' x y z = x * z * y
rfl
lemma
continuous_linear_map.mul_left_right_apply
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_mul_left_right_apply_apply_le (x y : 𝕜') : ‖mul_left_right 𝕜 𝕜' x y‖ ≤ ‖x‖ * ‖y‖
(op_norm_comp_le _ _).trans $ (mul_comm _ _).trans_le $ mul_le_mul (op_norm_mul_apply_le _ _ _) (op_norm_le_bound _ (norm_nonneg _) (λ _, (norm_mul_le _ _).trans_eq (mul_comm _ _))) (norm_nonneg _) (norm_nonneg _)
lemma
continuous_linear_map.op_norm_mul_left_right_apply_apply_le
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "mul_comm", "mul_le_mul", "norm_mul_le" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_mul_left_right_apply_le (x : 𝕜') : ‖mul_left_right 𝕜 𝕜' x‖ ≤ ‖x‖
op_norm_le_bound _ (norm_nonneg x) (op_norm_mul_left_right_apply_apply_le 𝕜 𝕜' x)
lemma
continuous_linear_map.op_norm_mul_left_right_apply_le
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_mul_left_right_le : ‖mul_left_right 𝕜 𝕜'‖ ≤ 1
op_norm_le_bound _ zero_le_one (λ x, (one_mul ‖x‖).symm ▸ op_norm_mul_left_right_apply_le 𝕜 𝕜' x)
lemma
continuous_linear_map.op_norm_mul_left_right_le
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "one_mul", "zero_le_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
mulₗᵢ : 𝕜' →ₗᵢ[𝕜] 𝕜' →L[𝕜] 𝕜'
{ to_linear_map := mul 𝕜 𝕜', norm_map' := λ x, le_antisymm (op_norm_mul_apply_le _ _ _) (by { convert ratio_le_op_norm _ (1 : 𝕜'), simp [norm_one], apply_instance }) }
def
continuous_linear_map.mulₗᵢ
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
Multiplication in a normed algebra as a linear isometry to the space of continuous linear maps.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_mulₗᵢ : ⇑(mulₗᵢ 𝕜 𝕜') = mul 𝕜 𝕜'
rfl
lemma
continuous_linear_map.coe_mulₗᵢ
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_mul_apply (x : 𝕜') : ‖mul 𝕜 𝕜' x‖ = ‖x‖
(mulₗᵢ 𝕜 𝕜').norm_map x
lemma
continuous_linear_map.op_norm_mul_apply
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lsmul : 𝕜' →L[𝕜] E →L[𝕜] E
((algebra.lsmul 𝕜 E).to_linear_map : 𝕜' →ₗ[𝕜] E →ₗ[𝕜] E).mk_continuous₂ 1 $ λ c x, by simpa only [one_mul] using norm_smul_le c x
def
continuous_linear_map.lsmul
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "algebra.lsmul", "norm_smul_le", "one_mul" ]
Scalar multiplication as a continuous bilinear map.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lsmul_apply (c : 𝕜') (x : E) : lsmul 𝕜 𝕜' c x = c • x
rfl
lemma
continuous_linear_map.lsmul_apply
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_to_span_singleton (x : E) : ‖to_span_singleton 𝕜 x‖ = ‖x‖
begin refine op_norm_eq_of_bounds (norm_nonneg _) (λ x, _) (λ N hN_nonneg h, _), { rw [to_span_singleton_apply, norm_smul, mul_comm], }, { specialize h 1, rw [to_span_singleton_apply, norm_smul, mul_comm] at h, exact (mul_le_mul_right (by simp)).mp h, }, end
lemma
continuous_linear_map.norm_to_span_singleton
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "mul_comm", "mul_le_mul_right", "norm_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_lsmul_apply_le (x : 𝕜') : ‖(lsmul 𝕜 𝕜' x : E →L[𝕜] E)‖ ≤ ‖x‖
continuous_linear_map.op_norm_le_bound _ (norm_nonneg x) $ λ y, norm_smul_le x y
lemma
continuous_linear_map.op_norm_lsmul_apply_le
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous_linear_map.op_norm_le_bound", "norm_smul_le" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_lsmul_le : ‖(lsmul 𝕜 𝕜' : 𝕜' →L[𝕜] E →L[𝕜] E)‖ ≤ 1
begin refine continuous_linear_map.op_norm_le_bound _ zero_le_one (λ x, _), simp_rw [one_mul], exact op_norm_lsmul_apply_le _, end
lemma
continuous_linear_map.op_norm_lsmul_le
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous_linear_map.op_norm_le_bound", "one_mul", "zero_le_one" ]
The norm of `lsmul` is at most 1 in any semi-normed group.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_restrict_scalars (f : E →L[𝕜] Fₗ) : ‖f.restrict_scalars 𝕜'‖ = ‖f‖
le_antisymm (op_norm_le_bound _ (norm_nonneg _) $ λ x, f.le_op_norm x) (op_norm_le_bound _ (norm_nonneg _) $ λ x, f.le_op_norm x)
lemma
continuous_linear_map.norm_restrict_scalars
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
restrict_scalars_isometry : (E →L[𝕜] Fₗ) →ₗᵢ[𝕜''] (E →L[𝕜'] Fₗ)
⟨restrict_scalarsₗ 𝕜 E Fₗ 𝕜' 𝕜'', norm_restrict_scalars⟩
def
continuous_linear_map.restrict_scalars_isometry
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
`continuous_linear_map.restrict_scalars` as a `linear_isometry`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_restrict_scalars_isometry : ⇑(restrict_scalars_isometry 𝕜 E Fₗ 𝕜' 𝕜'') = restrict_scalars 𝕜'
rfl
lemma
continuous_linear_map.coe_restrict_scalars_isometry
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "restrict_scalars" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
restrict_scalars_isometry_to_linear_map : (restrict_scalars_isometry 𝕜 E Fₗ 𝕜' 𝕜'').to_linear_map = restrict_scalarsₗ 𝕜 E Fₗ 𝕜' 𝕜''
rfl
lemma
continuous_linear_map.restrict_scalars_isometry_to_linear_map
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
restrict_scalarsL : (E →L[𝕜] Fₗ) →L[𝕜''] (E →L[𝕜'] Fₗ)
(restrict_scalars_isometry 𝕜 E Fₗ 𝕜' 𝕜'').to_continuous_linear_map
def
continuous_linear_map.restrict_scalarsL
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
`continuous_linear_map.restrict_scalars` as a `continuous_linear_map`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_restrict_scalarsL : (restrict_scalarsL 𝕜 E Fₗ 𝕜' 𝕜'' : (E →L[𝕜] Fₗ) →ₗ[𝕜''] (E →L[𝕜'] Fₗ)) = restrict_scalarsₗ 𝕜 E Fₗ 𝕜' 𝕜''
rfl
lemma
continuous_linear_map.coe_restrict_scalarsL
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_restrict_scalarsL' : ⇑(restrict_scalarsL 𝕜 E Fₗ 𝕜' 𝕜'') = restrict_scalars 𝕜'
rfl
lemma
continuous_linear_map.coe_restrict_scalarsL'
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "restrict_scalars" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_subtypeL_le (K : submodule 𝕜 E) : ‖K.subtypeL‖ ≤ 1
K.subtypeₗᵢ.norm_to_continuous_linear_map_le
lemma
submodule.norm_subtypeL_le
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "submodule" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
lipschitz : lipschitz_with (‖(e : E →SL[σ₁₂] F)‖₊) e
(e : E →SL[σ₁₂] F).lipschitz
lemma
continuous_linear_equiv.lipschitz
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "lipschitz_with" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_O_comp {α : Type*} (f : α → E) (l : filter α) : (λ x', e (f x')) =O[l] f
(e : E →SL[σ₁₂] F).is_O_comp f l
theorem
continuous_linear_equiv.is_O_comp
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "filter" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_O_sub (l : filter E) (x : E) : (λ x', e (x' - x)) =O[l] (λ x', x' - x)
(e : E →SL[σ₁₂] F).is_O_sub l x
theorem
continuous_linear_equiv.is_O_sub
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "filter" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_O_comp_rev {α : Type*} (f : α → E) (l : filter α) : f =O[l] (λ x', e (f x'))
(e.symm.is_O_comp _ l).congr_left $ λ _, e.symm_apply_apply _
theorem
continuous_linear_equiv.is_O_comp_rev
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "filter" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_O_sub_rev (l : filter E) (x : E) : (λ x', x' - x) =O[l] (λ x', e (x' - x))
e.is_O_comp_rev _ _
theorem
continuous_linear_equiv.is_O_sub_rev
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "filter" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
bilinear_comp (f : E →SL[σ₁₃] F →SL[σ₂₃] G) (gE : E' →SL[σ₁'] E) (gF : F' →SL[σ₂'] F) : E' →SL[σ₁₃'] F' →SL[σ₂₃'] G
((f.comp gE).flip.comp gF).flip
def
continuous_linear_map.bilinear_comp
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
Compose a bilinear map `E →SL[σ₁₃] F →SL[σ₂₃] G` with two linear maps `E' →SL[σ₁'] E` and `F' →SL[σ₂'] F`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
bilinear_comp_apply (f : E →SL[σ₁₃] F →SL[σ₂₃] G) (gE : E' →SL[σ₁'] E) (gF : F' →SL[σ₂'] F) (x : E') (y : F') : f.bilinear_comp gE gF x y = f (gE x) (gF y)
rfl
lemma
continuous_linear_map.bilinear_comp_apply
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
deriv₂ (f : E →L[𝕜] Fₗ →L[𝕜] Gₗ) : (E × Fₗ) →L[𝕜] (E × Fₗ) →L[𝕜] Gₗ
f.bilinear_comp (fst _ _ _) (snd _ _ _) + f.flip.bilinear_comp (snd _ _ _) (fst _ _ _)
def
continuous_linear_map.deriv₂
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
Derivative of a continuous bilinear map `f : E →L[𝕜] F →L[𝕜] G` interpreted as a map `E × F → G` at point `p : E × F` evaluated at `q : E × F`, as a continuous bilinear map.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_deriv₂ (f : E →L[𝕜] Fₗ →L[𝕜] Gₗ) (p : E × Fₗ) : ⇑(f.deriv₂ p) = λ q : E × Fₗ, f p.1 q.2 + f q.1 p.2
rfl
lemma
continuous_linear_map.coe_deriv₂
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
map_add_add (f : E →L[𝕜] Fₗ →L[𝕜] Gₗ) (x x' : E) (y y' : Fₗ) : f (x + x') (y + y') = f x y + f.deriv₂ (x, y) (x', y') + f x' y'
by simp only [map_add, add_apply, coe_deriv₂, add_assoc]
lemma
continuous_linear_map.map_add_add
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
bound_of_shell [ring_hom_isometric σ₁₂] (f : E →ₛₗ[σ₁₂] F) {ε C : ℝ} (ε_pos : 0 < ε) {c : 𝕜} (hc : 1 < ‖c‖) (hf : ∀ x, ε / ‖c‖ ≤ ‖x‖ → ‖x‖ < ε → ‖f x‖ ≤ C * ‖x‖) (x : E) : ‖f x‖ ≤ C * ‖x‖
begin by_cases hx : x = 0, { simp [hx] }, exact semilinear_map_class.bound_of_shell_semi_normed f ε_pos hc hf (ne_of_lt (norm_pos_iff.2 hx)).symm end
lemma
linear_map.bound_of_shell
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "ring_hom_isometric", "semilinear_map_class.bound_of_shell_semi_normed" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
bound_of_ball_bound {r : ℝ} (r_pos : 0 < r) (c : ℝ) (f : E →ₗ[𝕜] Fₗ) (h : ∀ z ∈ metric.ball (0 : E) r, ‖f z‖ ≤ c) : ∃ C, ∀ (z : E), ‖f z‖ ≤ C * ‖z‖
begin cases @nontrivially_normed_field.non_trivial 𝕜 _ with k hk, use c * (‖k‖ / r), intro z, refine bound_of_shell _ r_pos hk (λ x hko hxo, _) _, calc ‖f x‖ ≤ c : h _ (mem_ball_zero_iff.mpr hxo) ... ≤ c * ((‖x‖ * ‖k‖) / r) : le_mul_of_one_le_right _ _ ... = _ : by ring, { exact le_trans ...
lemma
linear_map.bound_of_ball_bound
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "div_le_iff", "le_mul_of_one_le_right", "metric.ball", "one_le_div", "ring" ]
`linear_map.bound_of_ball_bound'` is a version of this lemma over a field satisfying `is_R_or_C` that produces a concrete bound.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
antilipschitz_of_comap_nhds_le [h : ring_hom_isometric σ₁₂] (f : E →ₛₗ[σ₁₂] F) (hf : (𝓝 0).comap f ≤ 𝓝 0) : ∃ K, antilipschitz_with K f
begin rcases ((nhds_basis_ball.comap _).le_basis_iff nhds_basis_ball).1 hf 1 one_pos with ⟨ε, ε0, hε⟩, simp only [set.subset_def, set.mem_preimage, mem_ball_zero_iff] at hε, lift ε to ℝ≥0 using ε0.le, rcases normed_field.exists_one_lt_norm 𝕜 with ⟨c, hc⟩, refine ⟨ε⁻¹ * ‖c‖₊, add_monoid_hom_class.antilips...
lemma
linear_map.antilipschitz_of_comap_nhds_le
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "antilipschitz_with", "filter.tendsto_pure_pure", "inv_smul_smul₀", "lift", "map_zpow₀", "mul_le_mul_of_nonneg_left", "mul_one", "nnreal.coe_nonneg", "norm_inv", "norm_smul", "normed_field.exists_one_lt_norm", "pure_le_nhds", "rescale_to_shell_zpow", "ring_hom_isometric", "set.mem_preima...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_zero_iff [ring_hom_isometric σ₁₂] : ‖f‖ = 0 ↔ f = 0
iff.intro (λ hn, continuous_linear_map.ext (λ x, norm_le_zero_iff.1 (calc _ ≤ ‖f‖ * ‖x‖ : le_op_norm _ _ ... = _ : by rw [hn, zero_mul]))) (by { rintro rfl, exact op_norm_zero })
theorem
continuous_linear_map.op_norm_zero_iff
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous_linear_map.ext", "ring_hom_isometric", "zero_mul" ]
An operator is zero iff its norm vanishes.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_id [nontrivial E] : ‖id 𝕜 E‖ = 1
begin refine norm_id_of_nontrivial_seminorm _, obtain ⟨x, hx⟩ := exists_ne (0 : E), exact ⟨x, ne_of_gt (norm_pos_iff.2 hx)⟩, end
lemma
continuous_linear_map.norm_id
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "exists_ne", "nontrivial" ]
If a normed space is non-trivial, then the norm of the identity equals `1`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_one_class [nontrivial E] : norm_one_class (E →L[𝕜] E)
⟨norm_id⟩
instance
continuous_linear_map.norm_one_class
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "nontrivial", "norm_one_class" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_normed_add_comm_group [ring_hom_isometric σ₁₂] : normed_add_comm_group (E →SL[σ₁₂] F)
normed_add_comm_group.of_separation (λ f, (op_norm_zero_iff f).mp)
instance
continuous_linear_map.to_normed_add_comm_group
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "normed_add_comm_group", "ring_hom_isometric" ]
Continuous linear maps themselves form a normed space with respect to the operator norm.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_normed_ring : normed_ring (E →L[𝕜] E)
{ .. continuous_linear_map.to_normed_add_comm_group, .. continuous_linear_map.to_semi_normed_ring }
instance
continuous_linear_map.to_normed_ring
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous_linear_map.to_normed_add_comm_group", "continuous_linear_map.to_semi_normed_ring", "normed_ring" ]
Continuous linear maps form a normed ring with respect to the operator norm.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
homothety_norm [ring_hom_isometric σ₁₂] [nontrivial E] (f : E →SL[σ₁₂] F) {a : ℝ} (hf : ∀x, ‖f x‖ = a * ‖x‖) : ‖f‖ = a
begin obtain ⟨x, hx⟩ : ∃ (x : E), x ≠ 0 := exists_ne 0, rw ← norm_pos_iff at hx, have ha : 0 ≤ a, by simpa only [hf, hx, zero_le_mul_right] using norm_nonneg (f x), apply le_antisymm (f.op_norm_le_bound ha (λ y, le_of_eq (hf y))), simpa only [hf, hx, mul_le_mul_right] using f.le_op_norm x, end
lemma
continuous_linear_map.homothety_norm
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "exists_ne", "mul_le_mul_right", "nontrivial", "ring_hom_isometric", "zero_le_mul_right" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
antilipschitz_of_embedding (f : E →L[𝕜] Fₗ) (hf : embedding f) : ∃ K, antilipschitz_with K f
f.to_linear_map.antilipschitz_of_comap_nhds_le $ map_zero f ▸ (hf.nhds_eq_comap 0).ge
theorem
continuous_linear_map.antilipschitz_of_embedding
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "antilipschitz_with", "embedding" ]
If a continuous linear map is a topology embedding, then it is expands the distances by a positive factor.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
of_mem_closure_image_coe_bounded (f : E' → F) {s : set (E' →SL[σ₁₂] F)} (hs : bounded s) (hf : f ∈ closure ((coe_fn : (E' →SL[σ₁₂] F) → E' → F) '' s)) : E' →SL[σ₁₂] F
begin -- `f` is a linear map due to `linear_map_of_mem_closure_range_coe` refine (linear_map_of_mem_closure_range_coe f _).mk_continuous_of_exists_bound _, { refine closure_mono (image_subset_iff.2 $ λ g hg, _) hf, exact ⟨g, rfl⟩ }, { -- We need to show that `f` has bounded norm. Choose `C` such that `‖g‖ ≤ C` ...
def
continuous_linear_map.of_mem_closure_image_coe_bounded
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "closure", "closure_mono", "continuous_apply", "is_closed", "linear_map_of_mem_closure_range_coe" ]
Construct a bundled continuous (semi)linear map from a map `f : E → F` and a proof of the fact that it belongs to the closure of the image of a bounded set `s : set (E →SL[σ₁₂] F)` under coercion to function. Coercion to function of the result is definitionally equal to `f`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
of_tendsto_of_bounded_range {α : Type*} {l : filter α} [l.ne_bot] (f : E' → F) (g : α → E' →SL[σ₁₂] F) (hf : tendsto (λ a x, g a x) l (𝓝 f)) (hg : bounded (set.range g)) : E' →SL[σ₁₂] F
of_mem_closure_image_coe_bounded f hg $ mem_closure_of_tendsto hf $ eventually_of_forall $ λ a, mem_image_of_mem _ $ set.mem_range_self _
def
continuous_linear_map.of_tendsto_of_bounded_range
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "filter", "mem_closure_of_tendsto", "set.mem_range_self", "set.range" ]
Let `f : E → F` be a map, let `g : α → E →SL[σ₁₂] F` be a family of continuous (semi)linear maps that takes values in a bounded set and converges to `f` pointwise along a nontrivial filter. Then `f` is a continuous (semi)linear map.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
tendsto_of_tendsto_pointwise_of_cauchy_seq {f : ℕ → E' →SL[σ₁₂] F} {g : E' →SL[σ₁₂] F} (hg : tendsto (λ n x, f n x) at_top (𝓝 g)) (hf : cauchy_seq f) : tendsto f at_top (𝓝 g)
begin /- Since `f` is a Cauchy sequence, there exists `b → 0` such that `‖f n - f m‖ ≤ b N` for any `m, n ≥ N`. -/ rcases cauchy_seq_iff_le_tendsto_0.1 hf with ⟨b, hb₀, hfb, hb_lim⟩, -- Since `b → 0`, it suffices to show that `‖f n x - g x‖ ≤ b n * ‖x‖` for all `n` and `x`. suffices : ∀ n x, ‖f n x - g x‖ ≤ b...
lemma
continuous_linear_map.tendsto_of_tendsto_pointwise_of_cauchy_seq
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "cauchy_seq", "le_of_tendsto", "le_rfl", "squeeze_zero" ]
If a Cauchy sequence of continuous linear map converges to a continuous linear map pointwise, then it converges to the same map in norm. This lemma is used to prove that the space of continuous linear maps is complete provided that the codomain is a complete space.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_compact_closure_image_coe_of_bounded [proper_space F] {s : set (E' →SL[σ₁₂] F)} (hb : bounded s) : is_compact (closure ((coe_fn : (E' →SL[σ₁₂] F) → E' → F) '' s))
have ∀ x, is_compact (closure (apply' F σ₁₂ x '' s)), from λ x, ((apply' F σ₁₂ x).lipschitz.bounded_image hb).is_compact_closure, is_compact_closure_of_subset_compact (is_compact_pi_infinite this) (image_subset_iff.2 $ λ g hg x, subset_closure $ mem_image_of_mem _ hg)
lemma
continuous_linear_map.is_compact_closure_image_coe_of_bounded
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "closure", "is_compact", "is_compact_closure_of_subset_compact", "is_compact_pi_infinite", "proper_space", "subset_closure" ]
Let `s` be a bounded set in the space of continuous (semi)linear maps `E →SL[σ] F` taking values in a proper space. Then `s` interpreted as a set in the space of maps `E → F` with topology of pointwise convergence is precompact: its closure is a compact set.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_compact_image_coe_of_bounded_of_closed_image [proper_space F] {s : set (E' →SL[σ₁₂] F)} (hb : bounded s) (hc : is_closed ((coe_fn : (E' →SL[σ₁₂] F) → E' → F) '' s)) : is_compact ((coe_fn : (E' →SL[σ₁₂] F) → E' → F) '' s)
hc.closure_eq ▸ is_compact_closure_image_coe_of_bounded hb
lemma
continuous_linear_map.is_compact_image_coe_of_bounded_of_closed_image
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "is_closed", "is_compact", "proper_space" ]
Let `s` be a bounded set in the space of continuous (semi)linear maps `E →SL[σ] F` taking values in a proper space. If `s` interpreted as a set in the space of maps `E → F` with topology of pointwise convergence is closed, then it is compact. TODO: reformulate this in terms of a type synonym with the right topology.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_closed_image_coe_of_bounded_of_weak_closed {s : set (E' →SL[σ₁₂] F)} (hb : bounded s) (hc : ∀ f, (⇑f : E' → F) ∈ closure ((coe_fn : (E' →SL[σ₁₂] F) → E' → F) '' s) → f ∈ s) : is_closed ((coe_fn : (E' →SL[σ₁₂] F) → E' → F) '' s)
is_closed_of_closure_subset $ λ f hf, ⟨of_mem_closure_image_coe_bounded f hb hf, hc (of_mem_closure_image_coe_bounded f hb hf) hf, rfl⟩
lemma
continuous_linear_map.is_closed_image_coe_of_bounded_of_weak_closed
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "closure", "is_closed", "is_closed_of_closure_subset" ]
If a set `s` of semilinear functions is bounded and is closed in the weak-* topology, then its image under coercion to functions `E → F` is a closed set. We don't have a name for `E →SL[σ] F` with weak-* topology in `mathlib`, so we use an equivalent condition (see `is_closed_induced_iff'`). TODO: reformulate this in ...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_compact_image_coe_of_bounded_of_weak_closed [proper_space F] {s : set (E' →SL[σ₁₂] F)} (hb : bounded s) (hc : ∀ f, (⇑f : E' → F) ∈ closure ((coe_fn : (E' →SL[σ₁₂] F) → E' → F) '' s) → f ∈ s) : is_compact ((coe_fn : (E' →SL[σ₁₂] F) → E' → F) '' s)
is_compact_image_coe_of_bounded_of_closed_image hb $ is_closed_image_coe_of_bounded_of_weak_closed hb hc
lemma
continuous_linear_map.is_compact_image_coe_of_bounded_of_weak_closed
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "closure", "is_compact", "proper_space" ]
If a set `s` of semilinear functions is bounded and is closed in the weak-* topology, then its image under coercion to functions `E → F` is a compact set. We don't have a name for `E →SL[σ] F` with weak-* topology in `mathlib`, so we use an equivalent condition (see `is_closed_induced_iff'`).
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_weak_closed_closed_ball (f₀ : E' →SL[σ₁₂] F) (r : ℝ) ⦃f : E' →SL[σ₁₂] F⦄ (hf : ⇑f ∈ closure ((coe_fn : (E' →SL[σ₁₂] F) → E' → F) '' (closed_ball f₀ r))) : f ∈ closed_ball f₀ r
begin have hr : 0 ≤ r, from nonempty_closed_ball.1 (nonempty_image_iff.1 (closure_nonempty_iff.1 ⟨_, hf⟩)), refine mem_closed_ball_iff_norm.2 (op_norm_le_bound _ hr $ λ x, _), have : is_closed {g : E' → F | ‖g x - f₀ x‖ ≤ r * ‖x‖}, from is_closed_Iic.preimage ((@continuous_apply E' (λ _, F) _ x).sub conti...
lemma
continuous_linear_map.is_weak_closed_closed_ball
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "closure", "continuous_apply", "continuous_const", "is_closed" ]
A closed ball is closed in the weak-* topology. We don't have a name for `E →SL[σ] F` with weak-* topology in `mathlib`, so we use an equivalent condition (see `is_closed_induced_iff'`).
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_closed_image_coe_closed_ball (f₀ : E →SL[σ₁₂] F) (r : ℝ) : is_closed ((coe_fn : (E →SL[σ₁₂] F) → E → F) '' closed_ball f₀ r)
is_closed_image_coe_of_bounded_of_weak_closed bounded_closed_ball (is_weak_closed_closed_ball f₀ r)
lemma
continuous_linear_map.is_closed_image_coe_closed_ball
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "is_closed" ]
The set of functions `f : E → F` that represent continuous linear maps `f : E →SL[σ₁₂] F` at distance `≤ r` from `f₀ : E →SL[σ₁₂] F` is closed in the topology of pointwise convergence. This is one of the key steps in the proof of the **Banach-Alaoglu** theorem.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_compact_image_coe_closed_ball [proper_space F] (f₀ : E →SL[σ₁₂] F) (r : ℝ) : is_compact ((coe_fn : (E →SL[σ₁₂] F) → E → F) '' closed_ball f₀ r)
is_compact_image_coe_of_bounded_of_weak_closed bounded_closed_ball $ is_weak_closed_closed_ball f₀ r
lemma
continuous_linear_map.is_compact_image_coe_closed_ball
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "is_compact", "proper_space" ]
**Banach-Alaoglu** theorem. The set of functions `f : E → F` that represent continuous linear maps `f : E →SL[σ₁₂] F` at distance `≤ r` from `f₀ : E →SL[σ₁₂] F` is compact in the topology of pointwise convergence. Other versions of this theorem can be found in `analysis.normed_space.weak_dual`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
extend : Fₗ →SL[σ₁₂] F
/- extension of `f` is continuous -/ have cont : _ := (uniform_continuous_uniformly_extend h_e h_dense f.uniform_continuous).continuous, /- extension of `f` agrees with `f` on the domain of the embedding `e` -/ have eq : _ := uniformly_extend_of_ind h_e h_dense f.uniform_continuous, { to_fun := (h_e.dense_inducing h_de...
def
continuous_linear_map.extend
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "cont", "continuous", "continuous_fst", "continuous_linear_map.map_smulₛₗ", "continuous_snd", "extend", "is_closed_eq", "uniform_continuous_uniformly_extend", "uniformly_extend_of_ind" ]
Extension of a continuous linear map `f : E →SL[σ₁₂] F`, with `E` a normed space and `F` a complete normed space, along a uniform and dense embedding `e : E →L[𝕜] Fₗ`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
extend_eq (x : E) : extend f e h_dense h_e (e x) = f x
dense_inducing.extend_eq _ f.cont _
lemma
continuous_linear_map.extend_eq
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "dense_inducing.extend_eq", "extend" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
extend_unique (g : Fₗ →SL[σ₁₂] F) (H : g.comp e = f) : extend f e h_dense h_e = g
continuous_linear_map.coe_fn_injective $ uniformly_extend_unique h_e h_dense (continuous_linear_map.ext_iff.1 H) g.continuous
lemma
continuous_linear_map.extend_unique
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous_linear_map.coe_fn_injective", "extend", "uniformly_extend_unique" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
extend_zero : extend (0 : E →SL[σ₁₂] F) e h_dense h_e = 0
extend_unique _ _ _ _ _ (zero_comp _)
lemma
continuous_linear_map.extend_zero
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "extend" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_extend_le : ‖ψ‖ ≤ N * ‖f‖
begin have uni : uniform_inducing e := (uniform_embedding_of_bound _ h_e).to_uniform_inducing, have eq : ∀x, ψ (e x) = f x := uniformly_extend_of_ind uni h_dense f.uniform_continuous, by_cases N0 : 0 ≤ N, { refine op_norm_le_bound ψ _ (is_closed_property h_dense (is_closed_le _ _) _), { exact mul_nonneg N0 ...
lemma
continuous_linear_map.op_norm_extend_le
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "cont", "is_closed_le", "is_closed_property", "mul_assoc", "mul_comm", "mul_le_mul_of_nonneg_left", "mul_nonpos_of_nonpos_of_nonneg", "mul_zero", "uniform_inducing", "uniformly_extend_of_ind" ]
If a dense embedding `e : E →L[𝕜] G` expands the norm by a constant factor `N⁻¹`, then the norm of the extension of `f` along `e` is bounded by `N * ‖f‖`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_to_continuous_linear_map [nontrivial E] [ring_hom_isometric σ₁₂] (f : E →ₛₗᵢ[σ₁₂] F) : ‖f.to_continuous_linear_map‖ = 1
f.to_continuous_linear_map.homothety_norm $ by simp
lemma
linear_isometry.norm_to_continuous_linear_map
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "nontrivial", "ring_hom_isometric" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_to_continuous_linear_map_comp [ring_hom_isometric σ₁₂] (f : F →ₛₗᵢ[σ₂₃] G) {g : E →SL[σ₁₂] F} : ‖f.to_continuous_linear_map.comp g‖ = ‖g‖
op_norm_ext (f.to_continuous_linear_map.comp g) g (λ x, by simp only [norm_map, coe_to_continuous_linear_map, coe_comp'])
lemma
linear_isometry.norm_to_continuous_linear_map_comp
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "ring_hom_isometric" ]
Postcomposition of a continuous linear map with a linear isometry preserves the operator norm.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_comp_linear_isometry_equiv (f : F →SL[σ₂₃] G) (g : F' ≃ₛₗᵢ[σ₂'] F) : ‖f.comp g.to_linear_isometry.to_continuous_linear_map‖ = ‖f‖
begin casesI subsingleton_or_nontrivial F', { haveI := g.symm.to_linear_equiv.to_equiv.subsingleton, simp }, refine le_antisymm _ _, { convert f.op_norm_comp_le g.to_linear_isometry.to_continuous_linear_map, simp [g.to_linear_isometry.norm_to_continuous_linear_map] }, { convert (f.comp g.to_linear_iso...
lemma
continuous_linear_map.op_norm_comp_linear_isometry_equiv
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "subsingleton_or_nontrivial" ]
Precomposition with a linear isometry preserves the operator norm.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_smul_right_apply (c : E →L[𝕜] 𝕜) (f : Fₗ) : ‖smul_right c f‖ = ‖c‖ * ‖f‖
begin refine le_antisymm _ _, { apply op_norm_le_bound _ (mul_nonneg (norm_nonneg _) (norm_nonneg _)) (λx, _), calc ‖(c x) • f‖ = ‖c x‖ * ‖f‖ : norm_smul _ _ ... ≤ (‖c‖ * ‖x‖) * ‖f‖ : mul_le_mul_of_nonneg_right (le_op_norm _ _) (norm_nonneg _) ... = ‖c‖ * ‖f‖ * ‖x‖ : by ring }, { by_case...
lemma
continuous_linear_map.norm_smul_right_apply
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "div_mul_eq_mul_div", "div_nonneg", "le_div_iff", "mul_le_mul_of_nonneg_right", "norm_smul", "ring" ]
The norm of the tensor product of a scalar linear map and of an element of a normed space is the product of the norms.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_smul_right_apply (c : E →L[𝕜] 𝕜) (f : Fₗ) : ‖smul_right c f‖₊ = ‖c‖₊ * ‖f‖₊
nnreal.eq $ c.norm_smul_right_apply f
lemma
continuous_linear_map.nnnorm_smul_right_apply
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "nnreal.eq" ]
The non-negative norm of the tensor product of a scalar linear map and of an element of a normed space is the product of the non-negative norms.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
smul_rightL : (E →L[𝕜] 𝕜) →L[𝕜] Fₗ →L[𝕜] E →L[𝕜] Fₗ
linear_map.mk_continuous₂ { to_fun := smul_rightₗ, map_add' := λ c₁ c₂, by { ext x, simp only [add_smul, coe_smul_rightₗ, add_apply, smul_right_apply, linear_map.add_apply] }, map_smul' := λ m c, by { ext x, simp only [smul_smul, coe_smul_rightₗ, algebra.id.smul_...
def
continuous_linear_map.smul_rightL
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "add_smul", "algebra.id.smul_eq_mul", "linear_map.add_apply", "linear_map.coe_mk", "linear_map.mk_continuous₂", "linear_map.smul_apply", "one_mul", "pi.smul_apply", "ring_hom.id_apply", "smul_smul" ]
`continuous_linear_map.smul_right` as a continuous trilinear map: `smul_rightL (c : E →L[𝕜] 𝕜) (f : F) (x : E) = c x • f`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_smul_rightL_apply (c : E →L[𝕜] 𝕜) (f : Fₗ) : ‖smul_rightL 𝕜 E Fₗ c f‖ = ‖c‖ * ‖f‖
norm_smul_right_apply c f
lemma
continuous_linear_map.norm_smul_rightL_apply
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_smul_rightL (c : E →L[𝕜] 𝕜) [nontrivial Fₗ] : ‖smul_rightL 𝕜 E Fₗ c‖ = ‖c‖
continuous_linear_map.homothety_norm _ c.norm_smul_right_apply
lemma
continuous_linear_map.norm_smul_rightL
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous_linear_map.homothety_norm", "nontrivial" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_mul [norm_one_class 𝕜'] : ‖mul 𝕜 𝕜'‖ = 1
by haveI := norm_one_class.nontrivial 𝕜'; exact (mulₗᵢ 𝕜 𝕜').norm_to_continuous_linear_map
lemma
continuous_linear_map.op_norm_mul
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "norm_one_class", "norm_one_class.nontrivial" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
op_norm_lsmul [normed_field 𝕜'] [normed_algebra 𝕜 𝕜'] [normed_space 𝕜' E] [is_scalar_tower 𝕜 𝕜' E] [nontrivial E] : ‖(lsmul 𝕜 𝕜' : 𝕜' →L[𝕜] E →L[𝕜] E)‖ = 1
begin refine continuous_linear_map.op_norm_eq_of_bounds zero_le_one (λ x, _) (λ N hN h, _), { rw one_mul, exact op_norm_lsmul_apply_le _, }, obtain ⟨y, hy⟩ := exists_ne (0 : E), have := le_of_op_norm_le _ (h 1) y, simp_rw [lsmul_apply, one_smul, norm_one, mul_one] at this, refine le_of_mul_le_mul_right ...
lemma
continuous_linear_map.op_norm_lsmul
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous_linear_map.op_norm_eq_of_bounds", "exists_ne", "is_scalar_tower", "le_of_mul_le_mul_right", "mul_one", "nontrivial", "normed_algebra", "normed_field", "normed_space", "one_mul", "one_smul", "zero_le_one" ]
The norm of `lsmul` equals 1 in any nontrivial normed group. This is `continuous_linear_map.op_norm_lsmul_le` as an equality.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_subtypeL (K : submodule 𝕜 E) [nontrivial K] : ‖K.subtypeL‖ = 1
K.subtypeₗᵢ.norm_to_continuous_linear_map
lemma
submodule.norm_subtypeL
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "nontrivial", "submodule" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
antilipschitz (e : E ≃SL[σ₁₂] F) : antilipschitz_with ‖(e.symm : F →SL[σ₂₁] E)‖₊ e
e.symm.lipschitz.to_right_inverse e.left_inv
lemma
continuous_linear_equiv.antilipschitz
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "antilipschitz_with" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
one_le_norm_mul_norm_symm [ring_hom_isometric σ₁₂] [nontrivial E] (e : E ≃SL[σ₁₂] F) : 1 ≤ ‖(e : E →SL[σ₁₂] F)‖ * ‖(e.symm : F →SL[σ₂₁] E)‖
begin rw [mul_comm], convert (e.symm : F →SL[σ₂₁] E).op_norm_comp_le (e : E →SL[σ₁₂] F), rw [e.coe_symm_comp_coe, continuous_linear_map.norm_id] end
lemma
continuous_linear_equiv.one_le_norm_mul_norm_symm
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous_linear_map.norm_id", "mul_comm", "nontrivial", "ring_hom_isometric" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_pos [ring_hom_isometric σ₁₂] [nontrivial E] (e : E ≃SL[σ₁₂] F) : 0 < ‖(e : E →SL[σ₁₂] F)‖
pos_of_mul_pos_left (lt_of_lt_of_le zero_lt_one e.one_le_norm_mul_norm_symm) (norm_nonneg _)
lemma
continuous_linear_equiv.norm_pos
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "nontrivial", "pos_of_mul_pos_left", "ring_hom_isometric", "zero_lt_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_symm_pos [ring_hom_isometric σ₁₂] [nontrivial E] (e : E ≃SL[σ₁₂] F) : 0 < ‖(e.symm : F →SL[σ₂₁] E)‖
pos_of_mul_pos_right (zero_lt_one.trans_le e.one_le_norm_mul_norm_symm) (norm_nonneg _)
lemma
continuous_linear_equiv.norm_symm_pos
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "nontrivial", "pos_of_mul_pos_right", "ring_hom_isometric" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_symm_pos [ring_hom_isometric σ₁₂] [nontrivial E] (e : E ≃SL[σ₁₂] F) : 0 < ‖(e.symm : F →SL[σ₂₁] E)‖₊
e.norm_symm_pos
lemma
continuous_linear_equiv.nnnorm_symm_pos
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "nontrivial", "ring_hom_isometric" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
subsingleton_or_norm_symm_pos [ring_hom_isometric σ₁₂] (e : E ≃SL[σ₁₂] F) : subsingleton E ∨ 0 < ‖(e.symm : F →SL[σ₂₁] E)‖
begin rcases subsingleton_or_nontrivial E with _i|_i; resetI, { left, apply_instance }, { right, exact e.norm_symm_pos } end
lemma
continuous_linear_equiv.subsingleton_or_norm_symm_pos
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "ring_hom_isometric", "subsingleton_or_nontrivial" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
subsingleton_or_nnnorm_symm_pos [ring_hom_isometric σ₁₂] (e : E ≃SL[σ₁₂] F) : subsingleton E ∨ 0 < ‖(e.symm : F →SL[σ₂₁] E)‖₊
subsingleton_or_norm_symm_pos e
lemma
continuous_linear_equiv.subsingleton_or_nnnorm_symm_pos
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "ring_hom_isometric" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coord_norm (x : E) (h : x ≠ 0) : ‖coord 𝕜 x h‖ = ‖x‖⁻¹
begin have hx : 0 < ‖x‖ := (norm_pos_iff.mpr h), haveI : nontrivial (𝕜 ∙ x) := submodule.nontrivial_span_singleton h, exact continuous_linear_map.homothety_norm _ (λ y, homothety_inverse _ hx _ (to_span_nonzero_singleton_homothety 𝕜 x h) _) end
lemma
continuous_linear_equiv.coord_norm
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "continuous_linear_map.homothety_norm", "nontrivial", "submodule.nontrivial_span_singleton" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_coercive [normed_add_comm_group E] [normed_space ℝ E] (B : E →L[ℝ] E →L[ℝ] ℝ) : Prop
∃ C, (0 < C) ∧ ∀ u, C * ‖u‖ * ‖u‖ ≤ B u u
def
is_coercive
analysis.normed_space
src/analysis/normed_space/operator_norm.lean
[ "algebra.algebra.tower", "analysis.asymptotics.asymptotics", "analysis.normed_space.continuous_linear_map", "analysis.normed_space.linear_isometry", "topology.algebra.module.strong_topology" ]
[ "normed_add_comm_group", "normed_space" ]
A bounded bilinear form `B` in a real normed space is *coercive* if there is some positive constant C such that `C * ‖u‖ * ‖u‖ ≤ B u u`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
pi_Lp (p : ℝ≥0∞) {ι : Type*} (α : ι → Type*) : Type*
Π (i : ι), α i
def
pi_Lp
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[]
A copy of a Pi type, on which we will put the `L^p` distance. Since the Pi type itself is already endowed with the `L^∞` distance, we need the type synonym to avoid confusing typeclass resolution. Also, we let it depend on `p`, to get a whole family of type on which we can put different distances.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
equiv : pi_Lp p α ≃ Π (i : ι), α i
equiv.refl _
def
pi_Lp.equiv
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "equiv", "equiv.refl", "pi_Lp" ]
Canonical bijection between `pi_Lp p α` and the original Pi type. We introduce it to be able to compare the `L^p` and `L^∞` distances through it.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
equiv_apply (x : pi_Lp p α) (i : ι) : pi_Lp.equiv p α x i = x i
rfl
lemma
pi_Lp.equiv_apply
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "pi_Lp", "pi_Lp.equiv" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
equiv_symm_apply (x : Π i, α i) (i : ι) : (pi_Lp.equiv p α).symm x i = x i
rfl
lemma
pi_Lp.equiv_symm_apply
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "pi_Lp.equiv" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
edist_eq_card (f g : pi_Lp 0 β) : edist f g = {i | f i ≠ g i}.to_finite.to_finset.card
if_pos rfl
lemma
pi_Lp.edist_eq_card
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
edist_eq_sum {p : ℝ≥0∞} (hp : 0 < p.to_real) (f g : pi_Lp p β) : edist f g = (∑ i, edist (f i) (g i) ^ p.to_real) ^ (1/p.to_real)
let hp' := ennreal.to_real_pos_iff.mp hp in (if_neg hp'.1.ne').trans (if_neg hp'.2.ne)
lemma
pi_Lp.edist_eq_sum
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
edist_eq_supr (f g : pi_Lp ∞ β) : edist f g = ⨆ i, edist (f i) (g i)
by { dsimp [edist], exact if_neg ennreal.top_ne_zero }
lemma
pi_Lp.edist_eq_supr
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "ennreal.top_ne_zero", "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
edist_self (f : pi_Lp p β) : edist f f = 0
begin rcases p.trichotomy with (rfl | rfl | h), { simp [edist_eq_card], }, { simp [edist_eq_supr], }, { simp [edist_eq_sum h, ennreal.zero_rpow_of_pos h, ennreal.zero_rpow_of_pos (inv_pos.2 $ h)]} end
lemma
pi_Lp.edist_self
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "ennreal.zero_rpow_of_pos", "pi_Lp" ]
This holds independent of `p` and does not require `[fact (1 ≤ p)]`. We keep it separate from `pi_Lp.pseudo_emetric_space` so it can be used also for `p < 1`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
edist_comm (f g : pi_Lp p β) : edist f g = edist g f
begin rcases p.trichotomy with (rfl | rfl | h), { simp only [edist_eq_card, eq_comm, ne.def] }, { simp only [edist_eq_supr, edist_comm] }, { simp only [edist_eq_sum h, edist_comm] } end
lemma
pi_Lp.edist_comm
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "pi_Lp" ]
This holds independent of `p` and does not require `[fact (1 ≤ p)]`. We keep it separate from `pi_Lp.pseudo_emetric_space` so it can be used also for `p < 1`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
dist_eq_card (f g : pi_Lp 0 α) : dist f g = {i | f i ≠ g i}.to_finite.to_finset.card
if_pos rfl
lemma
pi_Lp.dist_eq_card
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
dist_eq_sum {p : ℝ≥0∞} (hp : 0 < p.to_real) (f g : pi_Lp p α) : dist f g = (∑ i, dist (f i) (g i) ^ p.to_real) ^ (1/p.to_real)
let hp' := ennreal.to_real_pos_iff.mp hp in (if_neg hp'.1.ne').trans (if_neg hp'.2.ne)
lemma
pi_Lp.dist_eq_sum
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
dist_eq_csupr (f g : pi_Lp ∞ α) : dist f g = ⨆ i, dist (f i) (g i)
by { dsimp [dist], exact if_neg ennreal.top_ne_zero }
lemma
pi_Lp.dist_eq_csupr
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "ennreal.top_ne_zero", "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
has_norm : has_norm (pi_Lp p β)
{ norm := λ f, if hp : p = 0 then {i | f i ≠ 0}.to_finite.to_finset.card else (if p = ∞ then ⨆ i, ‖f i‖ else (∑ i, ‖f i‖ ^ p.to_real) ^ (1 / p.to_real)) }
instance
pi_Lp.has_norm
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "has_norm", "pi_Lp" ]
Endowing the space `pi_Lp p β` with the `L^p` norm. We register this instance separate from `pi_Lp.seminormed_add_comm_group` since the latter requires the type class hypothesis `[fact (1 ≤ p)]` in order to prove the triangle inequality. Registering this separately allows for a future norm-like structure on `pi_Lp p β...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_eq_card (f : pi_Lp 0 β) : ‖f‖ = {i | f i ≠ 0}.to_finite.to_finset.card
if_pos rfl
lemma
pi_Lp.norm_eq_card
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_eq_csupr (f : pi_Lp ∞ β) : ‖f‖ = ⨆ i, ‖f i‖
by { dsimp [norm], exact if_neg ennreal.top_ne_zero }
lemma
pi_Lp.norm_eq_csupr
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "ennreal.top_ne_zero", "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_eq_sum (hp : 0 < p.to_real) (f : pi_Lp p β) : ‖f‖ = (∑ i, ‖f i‖ ^ p.to_real) ^ (1 / p.to_real)
let hp' := ennreal.to_real_pos_iff.mp hp in (if_neg hp'.1.ne').trans (if_neg hp'.2.ne)
lemma
pi_Lp.norm_eq_sum
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
pseudo_emetric_aux : pseudo_emetric_space (pi_Lp p β)
{ edist_self := pi_Lp.edist_self p, edist_comm := pi_Lp.edist_comm p, edist_triangle := λ f g h, begin unfreezingI { rcases p.dichotomy with (rfl | hp) }, { simp only [edist_eq_supr], casesI is_empty_or_nonempty ι, { simp only [csupr_of_empty, ennreal.bot_eq_zero, add_zero, nonpos_iff_eq_zero]...
def
pi_Lp.pseudo_emetric_aux
analysis.normed_space
src/analysis/normed_space/pi_Lp.lean
[ "analysis.mean_inequalities", "data.fintype.order", "linear_algebra.matrix.basis" ]
[ "csupr_of_empty", "ennreal.Lp_add_le", "ennreal.bot_eq_zero", "ennreal.rpow_le_rpow", "is_empty_or_nonempty", "le_supr", "pi_Lp", "pi_Lp.edist_comm", "pi_Lp.edist_self", "pseudo_emetric_space", "supr_le" ]
Endowing the space `pi_Lp p β` with the `L^p` pseudoemetric structure. This definition is not satisfactory, as it does not register the fact that the topology and the uniform structure coincide with the product one. Therefore, we do not register it as an instance. Using this as a temporary pseudoemetric space instance,...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83