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tendsto_integral_exp_inner_smul_cocompact : tendsto (λ w : V, ∫ v, e [-⟪v, w⟫] • f v) (cocompact V) (𝓝 0)
begin by_cases hfi : integrable f, swap, { convert tendsto_const_nhds, ext1 w, apply integral_undef, rwa ←fourier_integrand_integrable w }, refine metric.tendsto_nhds.mpr (λ ε hε, _), obtain ⟨g, hg_supp, hfg, hg_cont, -⟩ := hfi.exists_has_compact_support_integral_sub_le (div_pos hε two_pos), r...
theorem
tendsto_integral_exp_inner_smul_cocompact
analysis.fourier
src/analysis/fourier/riemann_lebesgue_lemma.lean
[ "analysis.fourier.fourier_transform", "analysis.inner_product_space.dual", "analysis.inner_product_space.euclidean_dist", "measure_theory.function.continuous_map_dense", "measure_theory.group.integration", "measure_theory.integral.set_integral", "measure_theory.measure.haar.normed_space", "topology.me...
[ "add_halves", "div_pos", "fourier_integrand_integrable", "tendsto_const_nhds", "tendsto_integral_exp_inner_smul_cocompact_of_continuous_compact_support", "vector_fourier.norm_fourier_integral_le_integral_norm" ]
Riemann-Lebesgue lemma for functions on a real inner-product space: the integral `∫ v, exp (-2 * π * ⟪w, v⟫ * I) • f v` tends to 0 as `w → ∞`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
real.tendsto_integral_exp_smul_cocompact (f : ℝ → E) : tendsto (λ w : ℝ, ∫ v : ℝ, e [-(v * w)] • f v) (cocompact ℝ) (𝓝 0)
tendsto_integral_exp_inner_smul_cocompact f
lemma
real.tendsto_integral_exp_smul_cocompact
analysis.fourier
src/analysis/fourier/riemann_lebesgue_lemma.lean
[ "analysis.fourier.fourier_transform", "analysis.inner_product_space.dual", "analysis.inner_product_space.euclidean_dist", "measure_theory.function.continuous_map_dense", "measure_theory.group.integration", "measure_theory.integral.set_integral", "measure_theory.measure.haar.normed_space", "topology.me...
[ "tendsto_integral_exp_inner_smul_cocompact" ]
The Riemann-Lebesgue lemma for functions on `ℝ`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
real.zero_at_infty_fourier_integral (f : ℝ → E) : tendsto (𝓕 f) (cocompact ℝ) (𝓝 0)
tendsto_integral_exp_inner_smul_cocompact f
theorem
real.zero_at_infty_fourier_integral
analysis.fourier
src/analysis/fourier/riemann_lebesgue_lemma.lean
[ "analysis.fourier.fourier_transform", "analysis.inner_product_space.dual", "analysis.inner_product_space.euclidean_dist", "measure_theory.function.continuous_map_dense", "measure_theory.group.integration", "measure_theory.integral.set_integral", "measure_theory.measure.haar.normed_space", "topology.me...
[ "tendsto_integral_exp_inner_smul_cocompact" ]
The Riemann-Lebesgue lemma for functions on `ℝ`, formulated via `real.fourier_integral`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
tendsto_integral_exp_smul_cocompact_of_inner_product (μ : measure V) [μ.is_add_haar_measure] : tendsto (λ w : V →L[ℝ] ℝ, ∫ v, e[-w v] • f v ∂μ) (cocompact (V →L[ℝ] ℝ)) (𝓝 0)
begin obtain ⟨C, C_ne_zero, C_ne_top, hC⟩ := μ.is_add_haar_measure_eq_smul_is_add_haar_measure volume, rw hC, simp_rw integral_smul_measure, rw ←(smul_zero _ : C.to_real • (0 : E) = 0), apply tendsto.const_smul, let A := (inner_product_space.to_dual ℝ V).symm, have : (λ w : V →L[ℝ] ℝ, ∫ v, e[-w v] • f v) ...
lemma
tendsto_integral_exp_smul_cocompact_of_inner_product
analysis.fourier
src/analysis/fourier/riemann_lebesgue_lemma.lean
[ "analysis.fourier.fourier_transform", "analysis.inner_product_space.dual", "analysis.inner_product_space.euclidean_dist", "measure_theory.function.continuous_map_dense", "measure_theory.group.integration", "measure_theory.integral.set_integral", "measure_theory.measure.haar.normed_space", "topology.me...
[ "inner_product_space.to_dual", "inner_product_space.to_dual_symm_apply", "is_R_or_C.conj_to_real", "real.fourier_char_apply", "smul_zero", "tendsto_integral_exp_inner_smul_cocompact" ]
Riemann-Lebesgue lemma for functions on a finite-dimensional inner-product space, formulated via dual space. **Do not use** -- it is only a stepping stone to `tendsto_integral_exp_smul_cocompact` where the inner-product-space structure isn't required.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
tendsto_integral_exp_smul_cocompact (μ : measure V) [μ.is_add_haar_measure] : tendsto (λ w : V →L[ℝ] ℝ, ∫ v, e[-w v] • f v ∂μ) (cocompact (V →L[ℝ] ℝ)) (𝓝 0)
begin -- We have already proved the result for inner-product spaces, formulated in a way which doesn't -- refer to the inner product. So we choose an arbitrary inner-product space isomorphic to V -- and port the result over from there. let V' := euclidean_space ℝ (fin (finrank ℝ V)), have A : V ≃L[ℝ] V' := to...
theorem
tendsto_integral_exp_smul_cocompact
analysis.fourier
src/analysis/fourier/riemann_lebesgue_lemma.lean
[ "analysis.fourier.fourier_transform", "analysis.inner_product_space.dual", "analysis.inner_product_space.euclidean_dist", "measure_theory.function.continuous_map_dense", "measure_theory.group.integration", "measure_theory.integral.set_integral", "measure_theory.measure.haar.normed_space", "topology.me...
[ "continuous_linear_equiv.apply_symm_apply", "continuous_linear_equiv.coe_coe", "continuous_linear_equiv.coe_def_rev", "continuous_linear_equiv.symm_apply_apply", "continuous_linear_map.add_apply", "continuous_linear_map.coe_comp'", "continuous_linear_map.smul_apply", "euclidean_space", "inv_fun", ...
Riemann-Lebesgue lemma for functions on a finite-dimensional real vector space, formulated via dual space.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
real.zero_at_infty_vector_fourier_integral (μ : measure V) [μ.is_add_haar_measure] : tendsto (vector_fourier.fourier_integral e μ (top_dual_pairing ℝ V).flip f) (cocompact (V →L[ℝ] ℝ)) (𝓝 0)
tendsto_integral_exp_smul_cocompact f μ
theorem
real.zero_at_infty_vector_fourier_integral
analysis.fourier
src/analysis/fourier/riemann_lebesgue_lemma.lean
[ "analysis.fourier.fourier_transform", "analysis.inner_product_space.dual", "analysis.inner_product_space.euclidean_dist", "measure_theory.function.continuous_map_dense", "measure_theory.group.integration", "measure_theory.integral.set_integral", "measure_theory.measure.haar.normed_space", "topology.me...
[ "tendsto_integral_exp_smul_cocompact", "top_dual_pairing", "vector_fourier.fourier_integral" ]
The Riemann-Lebesgue lemma, formulated in terms of `vector_fourier.fourier_integral` (with the pairing in the definition of `fourier_integral` taken to be the canonical pairing between `V` and its dual space).
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_aux : (E →L[𝕜] F) →L⋆[𝕜] (F →L[𝕜] E)
(continuous_linear_map.compSL _ _ _ _ _ ((to_dual 𝕜 E).symm : normed_space.dual 𝕜 E →L⋆[𝕜] E)).comp (to_sesq_form : (E →L[𝕜] F) →L[𝕜] F →L⋆[𝕜] normed_space.dual 𝕜 E)
def
continuous_linear_map.adjoint_aux
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "continuous_linear_map.compSL", "normed_space.dual" ]
The adjoint, as a continuous conjugate-linear map. This is only meant as an auxiliary definition for the main definition `adjoint`, where this is bundled as a conjugate-linear isometric equivalence.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_aux_apply (A : E →L[𝕜] F) (x : F) : adjoint_aux A x = ((to_dual 𝕜 E).symm : (normed_space.dual 𝕜 E) → E) ((to_sesq_form A) x)
rfl
lemma
continuous_linear_map.adjoint_aux_apply
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "normed_space.dual" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_aux_inner_left (A : E →L[𝕜] F) (x : E) (y : F) : ⟪adjoint_aux A y, x⟫ = ⟪y, A x⟫
by { simp only [adjoint_aux_apply, to_dual_symm_apply, to_sesq_form_apply_coe, coe_comp', innerSL_apply_coe]}
lemma
continuous_linear_map.adjoint_aux_inner_left
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "innerSL_apply_coe" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_aux_inner_right (A : E →L[𝕜] F) (x : E) (y : F) : ⟪x, adjoint_aux A y⟫ = ⟪A x, y⟫
by rw [←inner_conj_symm, adjoint_aux_inner_left, inner_conj_symm]
lemma
continuous_linear_map.adjoint_aux_inner_right
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "inner_conj_symm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_aux_adjoint_aux (A : E →L[𝕜] F) : adjoint_aux (adjoint_aux A) = A
begin ext v, refine ext_inner_left 𝕜 (λ w, _), rw [adjoint_aux_inner_right, adjoint_aux_inner_left], end
lemma
continuous_linear_map.adjoint_aux_adjoint_aux
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "ext_inner_left" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_aux_norm (A : E →L[𝕜] F) : ‖adjoint_aux A‖ = ‖A‖
begin refine le_antisymm _ _, { refine continuous_linear_map.op_norm_le_bound _ (norm_nonneg _) (λ x, _), rw [adjoint_aux_apply, linear_isometry_equiv.norm_map], exact to_sesq_form_apply_norm_le }, { nth_rewrite_lhs 0 [←adjoint_aux_adjoint_aux A], refine continuous_linear_map.op_norm_le_bound _ (norm_...
lemma
continuous_linear_map.adjoint_aux_norm
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "continuous_linear_map.op_norm_le_bound", "linear_isometry_equiv.norm_map" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint : (E →L[𝕜] F) ≃ₗᵢ⋆[𝕜] (F →L[𝕜] E)
linear_isometry_equiv.of_surjective { norm_map' := adjoint_aux_norm, ..adjoint_aux } (λ A, ⟨adjoint_aux A, adjoint_aux_adjoint_aux A⟩)
def
continuous_linear_map.adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "linear_isometry_equiv.of_surjective" ]
The adjoint of a bounded operator from Hilbert space E to Hilbert space F.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_inner_left (A : E →L[𝕜] F) (x : E) (y : F) : ⟪A† y, x⟫ = ⟪y, A x⟫
adjoint_aux_inner_left A x y
lemma
continuous_linear_map.adjoint_inner_left
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
The fundamental property of the adjoint.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_inner_right (A : E →L[𝕜] F) (x : E) (y : F) : ⟪x, A† y⟫ = ⟪A x, y⟫
adjoint_aux_inner_right A x y
lemma
continuous_linear_map.adjoint_inner_right
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
The fundamental property of the adjoint.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_adjoint (A : E →L[𝕜] F) : A†† = A
adjoint_aux_adjoint_aux A
lemma
continuous_linear_map.adjoint_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
The adjoint is involutive
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_comp (A : F →L[𝕜] G) (B : E →L[𝕜] F) : (A ∘L B)† = B† ∘L A†
begin ext v, refine ext_inner_left 𝕜 (λ w, _), simp only [adjoint_inner_right, continuous_linear_map.coe_comp', function.comp_app], end
lemma
continuous_linear_map.adjoint_comp
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "continuous_linear_map.coe_comp'", "ext_inner_left" ]
The adjoint of the composition of two operators is the composition of the two adjoints in reverse order.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
apply_norm_sq_eq_inner_adjoint_left (A : E →L[𝕜] E) (x : E) : ‖A x‖^2 = re ⟪(A† * A) x, x⟫
have h : ⟪(A† * A) x, x⟫ = ⟪A x, A x⟫ := by { rw [←adjoint_inner_left], refl }, by rw [h, ←inner_self_eq_norm_sq _]
lemma
continuous_linear_map.apply_norm_sq_eq_inner_adjoint_left
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
apply_norm_eq_sqrt_inner_adjoint_left (A : E →L[𝕜] E) (x : E) : ‖A x‖ = real.sqrt (re ⟪(A† * A) x, x⟫)
by rw [←apply_norm_sq_eq_inner_adjoint_left, real.sqrt_sq (norm_nonneg _)]
lemma
continuous_linear_map.apply_norm_eq_sqrt_inner_adjoint_left
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "real.sqrt", "real.sqrt_sq" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
apply_norm_sq_eq_inner_adjoint_right (A : E →L[𝕜] E) (x : E) : ‖A x‖^2 = re ⟪x, (A† * A) x⟫
have h : ⟪x, (A† * A) x⟫ = ⟪A x, A x⟫ := by { rw [←adjoint_inner_right], refl }, by rw [h, ←inner_self_eq_norm_sq _]
lemma
continuous_linear_map.apply_norm_sq_eq_inner_adjoint_right
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
apply_norm_eq_sqrt_inner_adjoint_right (A : E →L[𝕜] E) (x : E) : ‖A x‖ = real.sqrt (re ⟪x, (A† * A) x⟫)
by rw [←apply_norm_sq_eq_inner_adjoint_right, real.sqrt_sq (norm_nonneg _)]
lemma
continuous_linear_map.apply_norm_eq_sqrt_inner_adjoint_right
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "real.sqrt", "real.sqrt_sq" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_adjoint_iff (A : E →L[𝕜] F) (B : F →L[𝕜] E) : A = B† ↔ (∀ x y, ⟪A x, y⟫ = ⟪x, B y⟫)
begin refine ⟨λ h x y, by rw [h, adjoint_inner_left], λ h, _⟩, ext x, exact ext_inner_right 𝕜 (λ y, by simp only [adjoint_inner_left, h x y]) end
lemma
continuous_linear_map.eq_adjoint_iff
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "ext_inner_right" ]
The adjoint is unique: a map `A` is the adjoint of `B` iff it satisfies `⟪A x, y⟫ = ⟪x, B y⟫` for all `x` and `y`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_id : (continuous_linear_map.id 𝕜 E).adjoint = continuous_linear_map.id 𝕜 E
begin refine eq.symm _, rw eq_adjoint_iff, simp, end
lemma
continuous_linear_map.adjoint_id
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "continuous_linear_map.id" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
_root_.submodule.adjoint_subtypeL (U : submodule 𝕜 E) [complete_space U] : (U.subtypeL)† = orthogonal_projection U
begin symmetry, rw eq_adjoint_iff, intros x u, rw [U.coe_inner, inner_orthogonal_projection_left_eq_right, orthogonal_projection_mem_subspace_eq_self], refl end
lemma
submodule.adjoint_subtypeL
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "complete_space", "inner_orthogonal_projection_left_eq_right", "orthogonal_projection", "orthogonal_projection_mem_subspace_eq_self", "submodule" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
_root_.submodule.adjoint_orthogonal_projection (U : submodule 𝕜 E) [complete_space U] : (orthogonal_projection U : E →L[𝕜] U)† = U.subtypeL
by rw [← U.adjoint_subtypeL, adjoint_adjoint]
lemma
submodule.adjoint_orthogonal_projection
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "complete_space", "orthogonal_projection", "submodule" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
star_eq_adjoint (A : E →L[𝕜] E) : star A = A†
rfl
lemma
continuous_linear_map.star_eq_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_self_adjoint_iff' {A : E →L[𝕜] E} : is_self_adjoint A ↔ A.adjoint = A
iff.rfl
lemma
continuous_linear_map.is_self_adjoint_iff'
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "is_self_adjoint" ]
A continuous linear operator is self-adjoint iff it is equal to its adjoint.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_adjoint_pair_inner (A : E' →L[ℝ] F') : linear_map.is_adjoint_pair (sesq_form_of_inner : E' →ₗ[ℝ] E' →ₗ[ℝ] ℝ) (sesq_form_of_inner : F' →ₗ[ℝ] F' →ₗ[ℝ] ℝ) A (A†)
λ x y, by simp only [sesq_form_of_inner_apply_apply, adjoint_inner_left, to_linear_map_eq_coe, coe_coe]
lemma
continuous_linear_map.is_adjoint_pair_inner
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "coe_coe", "linear_map.is_adjoint_pair", "sesq_form_of_inner" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_eq {A : E →L[𝕜] E} (hA : is_self_adjoint A) : A.adjoint = A
hA
lemma
is_self_adjoint.adjoint_eq
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "is_self_adjoint" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_symmetric {A : E →L[𝕜] E} (hA : is_self_adjoint A) : (A : E →ₗ[𝕜] E).is_symmetric
λ x y, by rw_mod_cast [←A.adjoint_inner_right, hA.adjoint_eq]
lemma
is_self_adjoint.is_symmetric
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "is_self_adjoint" ]
Every self-adjoint operator on an inner product space is symmetric.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
conj_adjoint {T : E →L[𝕜] E} (hT : is_self_adjoint T) (S : E →L[𝕜] F) : is_self_adjoint (S ∘L T ∘L S.adjoint)
begin rw is_self_adjoint_iff' at ⊢ hT, simp only [hT, adjoint_comp, adjoint_adjoint], exact continuous_linear_map.comp_assoc _ _ _, end
lemma
is_self_adjoint.conj_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "continuous_linear_map.comp_assoc", "is_self_adjoint" ]
Conjugating preserves self-adjointness
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_conj {T : E →L[𝕜] E} (hT : is_self_adjoint T) (S : F →L[𝕜] E) : is_self_adjoint (S.adjoint ∘L T ∘L S)
begin rw is_self_adjoint_iff' at ⊢ hT, simp only [hT, adjoint_comp, adjoint_adjoint], exact continuous_linear_map.comp_assoc _ _ _, end
lemma
is_self_adjoint.adjoint_conj
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "continuous_linear_map.comp_assoc", "is_self_adjoint" ]
Conjugating preserves self-adjointness
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
_root_.continuous_linear_map.is_self_adjoint_iff_is_symmetric {A : E →L[𝕜] E} : is_self_adjoint A ↔ (A : E →ₗ[𝕜] E).is_symmetric
⟨λ hA, hA.is_symmetric, λ hA, ext $ λ x, ext_inner_right 𝕜 $ λ y, (A.adjoint_inner_left y x).symm ▸ (hA x y).symm⟩
lemma
continuous_linear_map.is_self_adjoint_iff_is_symmetric
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "ext_inner_right", "is_self_adjoint" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
_root_.linear_map.is_symmetric.is_self_adjoint {A : E →L[𝕜] E} (hA : (A : E →ₗ[𝕜] E).is_symmetric) : is_self_adjoint A
by rwa ←continuous_linear_map.is_self_adjoint_iff_is_symmetric at hA
lemma
linear_map.is_symmetric.is_self_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "is_self_adjoint" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
_root_.orthogonal_projection_is_self_adjoint (U : submodule 𝕜 E) [complete_space U] : is_self_adjoint (U.subtypeL ∘L orthogonal_projection U)
(orthogonal_projection_is_symmetric U).is_self_adjoint
lemma
orthogonal_projection_is_self_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "complete_space", "is_self_adjoint", "orthogonal_projection", "orthogonal_projection_is_symmetric", "submodule" ]
The orthogonal projection is self-adjoint.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
conj_orthogonal_projection {T : E →L[𝕜] E} (hT : is_self_adjoint T) (U : submodule 𝕜 E) [complete_space U] : is_self_adjoint (U.subtypeL ∘L orthogonal_projection U ∘L T ∘L U.subtypeL ∘L orthogonal_projection U)
begin rw ←continuous_linear_map.comp_assoc, nth_rewrite 0 ←(orthogonal_projection_is_self_adjoint U).adjoint_eq, refine hT.adjoint_conj _, end
lemma
is_self_adjoint.conj_orthogonal_projection
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "complete_space", "is_self_adjoint", "orthogonal_projection", "orthogonal_projection_is_self_adjoint", "submodule" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_symmetric.to_self_adjoint (hT : is_symmetric T) : self_adjoint (E →L[𝕜] E)
⟨⟨T, hT.continuous⟩, continuous_linear_map.is_self_adjoint_iff_is_symmetric.mpr hT⟩
def
linear_map.is_symmetric.to_self_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "self_adjoint" ]
The **Hellinger--Toeplitz theorem**: Construct a self-adjoint operator from an everywhere defined symmetric operator.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_symmetric.coe_to_self_adjoint (hT : is_symmetric T) : (hT.to_self_adjoint : E →ₗ[𝕜] E) = T
rfl
lemma
linear_map.is_symmetric.coe_to_self_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_symmetric.to_self_adjoint_apply (hT : is_symmetric T) {x : E} : hT.to_self_adjoint x = T x
rfl
lemma
linear_map.is_symmetric.to_self_adjoint_apply
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint : (E →ₗ[𝕜] F) ≃ₗ⋆[𝕜] (F →ₗ[𝕜] E)
((linear_map.to_continuous_linear_map : (E →ₗ[𝕜] F) ≃ₗ[𝕜] (E →L[𝕜] F)).trans continuous_linear_map.adjoint.to_linear_equiv).trans linear_map.to_continuous_linear_map.symm
def
linear_map.adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "linear_map.to_continuous_linear_map" ]
The adjoint of an operator from the finite-dimensional inner product space E to the finite- dimensional inner product space F.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_to_continuous_linear_map (A : E →ₗ[𝕜] F) : A.adjoint.to_continuous_linear_map = A.to_continuous_linear_map.adjoint
rfl
lemma
linear_map.adjoint_to_continuous_linear_map
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_eq_to_clm_adjoint (A : E →ₗ[𝕜] F) : A.adjoint = A.to_continuous_linear_map.adjoint
rfl
lemma
linear_map.adjoint_eq_to_clm_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_inner_left (A : E →ₗ[𝕜] F) (x : E) (y : F) : ⟪adjoint A y, x⟫ = ⟪y, A x⟫
begin rw [←coe_to_continuous_linear_map A, adjoint_eq_to_clm_adjoint], exact continuous_linear_map.adjoint_inner_left _ x y, end
lemma
linear_map.adjoint_inner_left
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "continuous_linear_map.adjoint_inner_left" ]
The fundamental property of the adjoint.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_inner_right (A : E →ₗ[𝕜] F) (x : E) (y : F) : ⟪x, adjoint A y⟫ = ⟪A x, y⟫
begin rw [←coe_to_continuous_linear_map A, adjoint_eq_to_clm_adjoint], exact continuous_linear_map.adjoint_inner_right _ x y, end
lemma
linear_map.adjoint_inner_right
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "continuous_linear_map.adjoint_inner_right" ]
The fundamental property of the adjoint.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_adjoint (A : E →ₗ[𝕜] F) : A.adjoint.adjoint = A
begin ext v, refine ext_inner_left 𝕜 (λ w, _), rw [adjoint_inner_right, adjoint_inner_left], end
lemma
linear_map.adjoint_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "ext_inner_left" ]
The adjoint is involutive
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
adjoint_comp (A : F →ₗ[𝕜] G) (B : E →ₗ[𝕜] F) : (A ∘ₗ B).adjoint = B.adjoint ∘ₗ A.adjoint
begin ext v, refine ext_inner_left 𝕜 (λ w, _), simp only [adjoint_inner_right, linear_map.coe_comp, function.comp_app], end
lemma
linear_map.adjoint_comp
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "ext_inner_left", "linear_map.coe_comp" ]
The adjoint of the composition of two operators is the composition of the two adjoints in reverse order.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_adjoint_iff (A : E →ₗ[𝕜] F) (B : F →ₗ[𝕜] E) : A = B.adjoint ↔ (∀ x y, ⟪A x, y⟫ = ⟪x, B y⟫)
begin refine ⟨λ h x y, by rw [h, adjoint_inner_left], λ h, _⟩, ext x, exact ext_inner_right 𝕜 (λ y, by simp only [adjoint_inner_left, h x y]) end
lemma
linear_map.eq_adjoint_iff
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "ext_inner_right" ]
The adjoint is unique: a map `A` is the adjoint of `B` iff it satisfies `⟪A x, y⟫ = ⟪x, B y⟫` for all `x` and `y`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_adjoint_iff_basis {ι₁ : Type*} {ι₂ : Type*} (b₁ : basis ι₁ 𝕜 E) (b₂ : basis ι₂ 𝕜 F) (A : E →ₗ[𝕜] F) (B : F →ₗ[𝕜] E) : A = B.adjoint ↔ (∀ (i₁ : ι₁) (i₂ : ι₂), ⟪A (b₁ i₁), b₂ i₂⟫ = ⟪b₁ i₁, B (b₂ i₂)⟫)
begin refine ⟨λ h x y, by rw [h, adjoint_inner_left], λ h, _⟩, refine basis.ext b₁ (λ i₁, _), exact ext_inner_right_basis b₂ (λ i₂, by simp only [adjoint_inner_left, h i₁ i₂]), end
lemma
linear_map.eq_adjoint_iff_basis
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "basis", "basis.ext" ]
The adjoint is unique: a map `A` is the adjoint of `B` iff it satisfies `⟪A x, y⟫ = ⟪x, B y⟫` for all basis vectors `x` and `y`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_adjoint_iff_basis_left {ι : Type*} (b : basis ι 𝕜 E) (A : E →ₗ[𝕜] F) (B : F →ₗ[𝕜] E) : A = B.adjoint ↔ (∀ i y, ⟪A (b i), y⟫ = ⟪b i, B y⟫)
begin refine ⟨λ h x y, by rw [h, adjoint_inner_left], λ h, basis.ext b (λ i, _)⟩, exact ext_inner_right 𝕜 (λ y, by simp only [h i, adjoint_inner_left]), end
lemma
linear_map.eq_adjoint_iff_basis_left
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "basis", "basis.ext", "ext_inner_right" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
eq_adjoint_iff_basis_right {ι : Type*} (b : basis ι 𝕜 F) (A : E →ₗ[𝕜] F) (B : F →ₗ[𝕜] E) : A = B.adjoint ↔ (∀ i x, ⟪A x, b i⟫ = ⟪x, B (b i)⟫)
begin refine ⟨λ h x y, by rw [h, adjoint_inner_left], λ h, _⟩, ext x, refine ext_inner_right_basis b (λ i, by simp only [h i, adjoint_inner_left]), end
lemma
linear_map.eq_adjoint_iff_basis_right
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "basis" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
star_eq_adjoint (A : E →ₗ[𝕜] E) : star A = A.adjoint
rfl
lemma
linear_map.star_eq_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_self_adjoint_iff' {A : E →ₗ[𝕜] E} : is_self_adjoint A ↔ A.adjoint = A
iff.rfl
lemma
linear_map.is_self_adjoint_iff'
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "is_self_adjoint" ]
A continuous linear operator is self-adjoint iff it is equal to its adjoint.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_symmetric_iff_is_self_adjoint (A : E →ₗ[𝕜] E) : is_symmetric A ↔ is_self_adjoint A
by { rw [is_self_adjoint_iff', is_symmetric, ← linear_map.eq_adjoint_iff], exact eq_comm }
lemma
linear_map.is_symmetric_iff_is_self_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "is_self_adjoint", "linear_map.eq_adjoint_iff" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_adjoint_pair_inner (A : E' →ₗ[ℝ] F') : is_adjoint_pair (sesq_form_of_inner : E' →ₗ[ℝ] E' →ₗ[ℝ] ℝ) (sesq_form_of_inner : F' →ₗ[ℝ] F' →ₗ[ℝ] ℝ) A A.adjoint
λ x y, by simp only [sesq_form_of_inner_apply_apply, adjoint_inner_left]
lemma
linear_map.is_adjoint_pair_inner
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "sesq_form_of_inner" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_symmetric_adjoint_mul_self (T : E →ₗ[𝕜] E) : is_symmetric (T.adjoint * T)
λ x y, by simp only [mul_apply, adjoint_inner_left, adjoint_inner_right]
lemma
linear_map.is_symmetric_adjoint_mul_self
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[]
The Gram operator T†T is symmetric.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
re_inner_adjoint_mul_self_nonneg (T : E →ₗ[𝕜] E) (x : E) : 0 ≤ re ⟪ x, (T.adjoint * T) x ⟫
by {simp only [mul_apply, adjoint_inner_right, inner_self_eq_norm_sq_to_K], norm_cast, exact sq_nonneg _}
lemma
linear_map.re_inner_adjoint_mul_self_nonneg
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "inner_self_eq_norm_sq_to_K", "sq_nonneg" ]
The Gram operator T†T is a positive operator.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
im_inner_adjoint_mul_self_eq_zero (T : E →ₗ[𝕜] E) (x : E) : im ⟪ x, linear_map.adjoint T (T x) ⟫ = 0
by {simp only [mul_apply, adjoint_inner_right, inner_self_eq_norm_sq_to_K], norm_cast}
lemma
linear_map.im_inner_adjoint_mul_self_eq_zero
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "inner_self_eq_norm_sq_to_K", "linear_map.adjoint" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_euclidean_lin_conj_transpose_eq_adjoint (A : matrix m n 𝕜) : A.conj_transpose.to_euclidean_lin = A.to_euclidean_lin.adjoint
begin rw linear_map.eq_adjoint_iff, intros x y, simp_rw [euclidean_space.inner_eq_star_dot_product, pi_Lp_equiv_to_euclidean_lin, to_lin'_apply, star_mul_vec, conj_transpose_conj_transpose, dot_product_mul_vec], end
lemma
matrix.to_euclidean_lin_conj_transpose_eq_adjoint
analysis.inner_product_space
src/analysis/inner_product_space/adjoint.lean
[ "analysis.inner_product_space.dual", "analysis.inner_product_space.pi_L2" ]
[ "euclidean_space.inner_eq_star_dot_product", "linear_map.eq_adjoint_iff", "matrix" ]
The adjoint of the linear map associated to a matrix is the linear map associated to the conjugate transpose of that matrix.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
has_inner (𝕜 E : Type*)
(inner : E → E → 𝕜)
class
has_inner
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[]
Syntactic typeclass for types endowed with an inner product
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_product_space (𝕜 : Type*) (E : Type*) [is_R_or_C 𝕜] [normed_add_comm_group E] extends normed_space 𝕜 E, has_inner 𝕜 E
(norm_sq_eq_inner : ∀ (x : E), ‖x‖^2 = re (inner x x)) (conj_symm : ∀ x y, conj (inner y x) = inner x y) (add_left : ∀ x y z, inner (x + y) z = inner x z + inner y z) (smul_left : ∀ x y r, inner (r • x) y = (conj r) * inner x y)
class
inner_product_space
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "has_inner", "is_R_or_C", "normed_add_comm_group", "normed_space" ]
An inner product space is a vector space with an additional operation called inner product. The norm could be derived from the inner product, instead we require the existence of a norm and the fact that `‖x‖^2 = re ⟪x, x⟫` to be able to put instances on `𝕂` or product spaces. To construct a norm from an inner product...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_product_space.core (𝕜 : Type*) (F : Type*) [is_R_or_C 𝕜] [add_comm_group F] [module 𝕜 F] extends has_inner 𝕜 F
(conj_symm : ∀ x y, conj (inner y x) = inner x y) (nonneg_re : ∀ x, 0 ≤ re (inner x x)) (definite : ∀ x, inner x x = 0 → x = 0) (add_left : ∀ x y z, inner (x + y) z = inner x z + inner y z) (smul_left : ∀ x y r, inner (r • x) y = (conj r) * inner x y)
structure
inner_product_space.core
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "add_comm_group", "has_inner", "is_R_or_C", "module" ]
A structure requiring that a scalar product is positive definite and symmetric, from which one can construct an `inner_product_space` instance in `inner_product_space.of_core`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_product_space.to_core [normed_add_comm_group E] [c : inner_product_space 𝕜 E] : inner_product_space.core 𝕜 E
{ nonneg_re := λ x, by { rw [← inner_product_space.norm_sq_eq_inner], apply sq_nonneg }, definite := λ x hx, norm_eq_zero.1 $ pow_eq_zero $ by rw [inner_product_space.norm_sq_eq_inner x, hx, map_zero], .. c }
def
inner_product_space.to_core
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_product_space", "inner_product_space.core", "normed_add_comm_group", "pow_eq_zero", "sq_nonneg" ]
Define `inner_product_space.core` from `inner_product_space`. Defined to reuse lemmas about `inner_product_space.core` for `inner_product_space`s. Note that the `has_norm` instance provided by `inner_product_space.core.has_norm` is propositionally but not definitionally equal to the original norm.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_has_inner' : has_inner 𝕜 F
c.to_has_inner
def
inner_product_space.core.to_has_inner'
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "has_inner" ]
Inner product defined by the `inner_product_space.core` structure. We can't reuse `inner_product_space.core.to_has_inner` because it takes `inner_product_space.core` as an explicit argument.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_sq (x : F)
reK ⟪x, x⟫
def
inner_product_space.core.norm_sq
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[]
The norm squared function for `inner_product_space.core` structure.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_conj_symm (x y : F) : ⟪y, x⟫† = ⟪x, y⟫
c.conj_symm x y
lemma
inner_product_space.core.inner_conj_symm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_conj_symm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_self_nonneg {x : F} : 0 ≤ re ⟪x, x⟫
c.nonneg_re _
lemma
inner_product_space.core.inner_self_nonneg
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_self_nonneg" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_self_im (x : F) : im ⟪x, x⟫ = 0
by rw [← @of_real_inj 𝕜, im_eq_conj_sub]; simp [inner_conj_symm]
lemma
inner_product_space.core.inner_self_im
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_conj_symm", "inner_self_im" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_add_left (x y z : F) : ⟪x + y, z⟫ = ⟪x, z⟫ + ⟪y, z⟫
c.add_left _ _ _
lemma
inner_product_space.core.inner_add_left
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_add_left" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_add_right (x y z : F) : ⟪x, y + z⟫ = ⟪x, y⟫ + ⟪x, z⟫
by rw [←inner_conj_symm, inner_add_left, ring_hom.map_add]; simp only [inner_conj_symm]
lemma
inner_product_space.core.inner_add_right
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_add_left", "inner_add_right", "inner_conj_symm", "ring_hom.map_add" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
coe_norm_sq_eq_inner_self (x : F) : (norm_sqF x : 𝕜) = ⟪x, x⟫
begin rw ext_iff, exact ⟨by simp only [of_real_re]; refl, by simp only [inner_self_im, of_real_im]⟩ end
lemma
inner_product_space.core.coe_norm_sq_eq_inner_self
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_self_im" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_re_symm (x y : F) : re ⟪x, y⟫ = re ⟪y, x⟫
by rw [←inner_conj_symm, conj_re]
lemma
inner_product_space.core.inner_re_symm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_re_symm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_im_symm (x y : F) : im ⟪x, y⟫ = -im ⟪y, x⟫
by rw [←inner_conj_symm, conj_im]
lemma
inner_product_space.core.inner_im_symm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_im_symm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_smul_left (x y : F) {r : 𝕜} : ⟪r • x, y⟫ = r† * ⟪x, y⟫
c.smul_left _ _ _
lemma
inner_product_space.core.inner_smul_left
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_smul_left" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_smul_right (x y : F) {r : 𝕜} : ⟪x, r • y⟫ = r * ⟪x, y⟫
by rw [←inner_conj_symm, inner_smul_left]; simp only [conj_conj, inner_conj_symm, ring_hom.map_mul]
lemma
inner_product_space.core.inner_smul_right
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_conj_symm", "inner_smul_left", "inner_smul_right", "ring_hom.map_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_zero_left (x : F) : ⟪0, x⟫ = 0
by rw [←zero_smul 𝕜 (0 : F), inner_smul_left]; simp only [zero_mul, ring_hom.map_zero]
lemma
inner_product_space.core.inner_zero_left
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_smul_left", "inner_zero_left", "ring_hom.map_zero", "zero_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_zero_right (x : F) : ⟪x, 0⟫ = 0
by rw [←inner_conj_symm, inner_zero_left]; simp only [ring_hom.map_zero]
lemma
inner_product_space.core.inner_zero_right
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_zero_left", "inner_zero_right", "ring_hom.map_zero" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_self_eq_zero {x : F} : ⟪x, x⟫ = 0 ↔ x = 0
⟨c.definite _, by { rintro rfl, exact inner_zero_left _ }⟩
lemma
inner_product_space.core.inner_self_eq_zero
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_self_eq_zero", "inner_zero_left" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_sq_eq_zero {x : F} : norm_sqF x = 0 ↔ x = 0
iff.trans (by simp only [norm_sq, ext_iff, map_zero, inner_self_im, eq_self_iff_true, and_true]) (@inner_self_eq_zero 𝕜 _ _ _ _ _ x)
lemma
inner_product_space.core.norm_sq_eq_zero
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_self_eq_zero", "inner_self_im" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_self_ne_zero {x : F} : ⟪x, x⟫ ≠ 0 ↔ x ≠ 0
inner_self_eq_zero.not
lemma
inner_product_space.core.inner_self_ne_zero
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_self_ne_zero" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_self_re_to_K (x : F) : (re ⟪x, x⟫ : 𝕜) = ⟪x, x⟫
by norm_num [ext_iff, inner_self_im]
lemma
inner_product_space.core.inner_self_re_to_K
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_self_im", "inner_self_re_to_K" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_inner_symm (x y : F) : ‖⟪x, y⟫‖ = ‖⟪y, x⟫‖
by rw [←inner_conj_symm, norm_conj]
lemma
inner_product_space.core.norm_inner_symm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "norm_inner_symm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_neg_left (x y : F) : ⟪-x, y⟫ = -⟪x, y⟫
by { rw [← neg_one_smul 𝕜 x, inner_smul_left], simp }
lemma
inner_product_space.core.inner_neg_left
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_neg_left", "inner_smul_left", "neg_one_smul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_neg_right (x y : F) : ⟪x, -y⟫ = -⟪x, y⟫
by rw [←inner_conj_symm, inner_neg_left]; simp only [ring_hom.map_neg, inner_conj_symm]
lemma
inner_product_space.core.inner_neg_right
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_conj_symm", "inner_neg_left", "inner_neg_right", "ring_hom.map_neg" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_sub_left (x y z : F) : ⟪x - y, z⟫ = ⟪x, z⟫ - ⟪y, z⟫
by { simp [sub_eq_add_neg, inner_add_left, inner_neg_left] }
lemma
inner_product_space.core.inner_sub_left
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_add_left", "inner_neg_left", "inner_sub_left" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_sub_right (x y z : F) : ⟪x, y - z⟫ = ⟪x, y⟫ - ⟪x, z⟫
by { simp [sub_eq_add_neg, inner_add_right, inner_neg_right] }
lemma
inner_product_space.core.inner_sub_right
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_add_right", "inner_neg_right", "inner_sub_right" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_mul_symm_re_eq_norm (x y : F) : re (⟪x, y⟫ * ⟪y, x⟫) = ‖⟪x, y⟫ * ⟪y, x⟫‖
by { rw [←inner_conj_symm, mul_comm], exact re_eq_norm_of_mul_conj (inner y x), }
lemma
inner_product_space.core.inner_mul_symm_re_eq_norm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_mul_symm_re_eq_norm", "mul_comm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_add_add_self (x y : F) : ⟪x + y, x + y⟫ = ⟪x, x⟫ + ⟪x, y⟫ + ⟪y, x⟫ + ⟪y, y⟫
by simp only [inner_add_left, inner_add_right]; ring
lemma
inner_product_space.core.inner_add_add_self
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_add_add_self", "inner_add_left", "inner_add_right", "ring" ]
Expand `inner (x + y) (x + y)`
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_sub_sub_self (x y : F) : ⟪x - y, x - y⟫ = ⟪x, x⟫ - ⟪x, y⟫ - ⟪y, x⟫ + ⟪y, y⟫
by simp only [inner_sub_left, inner_sub_right]; ring
lemma
inner_product_space.core.inner_sub_sub_self
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_sub_left", "inner_sub_right", "inner_sub_sub_self", "ring" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
cauchy_schwarz_aux (x y : F) : norm_sqF (⟪x, y⟫ • x - ⟪x, x⟫ • y) = norm_sqF x * (norm_sqF x * norm_sqF y - ‖⟪x, y⟫‖ ^ 2)
begin rw [← @of_real_inj 𝕜, coe_norm_sq_eq_inner_self], simp only [inner_sub_sub_self, inner_smul_left, inner_smul_right, conj_of_real, mul_sub, ← coe_norm_sq_eq_inner_self x, ← coe_norm_sq_eq_inner_self y], rw [← mul_assoc, mul_conj, is_R_or_C.conj_mul, norm_sq_eq_def', mul_left_comm, ← inner_conj_symm ...
theorem
inner_product_space.core.cauchy_schwarz_aux
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_conj_symm", "inner_smul_left", "inner_smul_right", "inner_sub_sub_self", "is_R_or_C.conj_mul", "mul_assoc", "mul_left_comm", "ring" ]
An auxiliary equality useful to prove the **Cauchy–Schwarz inequality**: the square of the norm of `⟪x, y⟫ • x - ⟪x, x⟫ • y` is equal to `‖x‖ ^ 2 * (‖x‖ ^ 2 * ‖y‖ ^ 2 - ‖⟪x, y⟫‖ ^ 2)`. We use `inner_product_space.of_core.norm_sq x` etc (defeq to `is_R_or_C.re ⟪x, x⟫`) instead of `‖x‖ ^ 2` etc to avoid extra rewrites wh...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_mul_inner_self_le (x y : F) : ‖⟪x, y⟫‖ * ‖⟪y, x⟫‖ ≤ re ⟪x, x⟫ * re ⟪y, y⟫
begin rcases eq_or_ne x 0 with (rfl | hx), { simp only [inner_zero_left, map_zero, zero_mul, norm_zero] }, { have hx' : 0 < norm_sqF x := inner_self_nonneg.lt_of_ne' (mt norm_sq_eq_zero.1 hx), rw [← sub_nonneg, ← mul_nonneg_iff_right_nonneg_of_pos hx', ← norm_sq, ← norm_sq, norm_inner_symm y, ← sq, ← ca...
lemma
inner_product_space.core.inner_mul_inner_self_le
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "eq_or_ne", "inner_mul_inner_self_le", "inner_self_nonneg", "inner_zero_left", "mul_nonneg_iff_right_nonneg_of_pos", "norm_inner_symm", "zero_mul" ]
**Cauchy–Schwarz inequality**. We need this for the `core` structure to prove the triangle inequality below when showing the core is a normed group.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_has_norm : has_norm F
{ norm := λ x, sqrt (re ⟪x, x⟫) }
def
inner_product_space.core.to_has_norm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "has_norm" ]
Norm constructed from a `inner_product_space.core` structure, defined to be the square root of the scalar product.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_eq_sqrt_inner (x : F) : ‖x‖ = sqrt (re ⟪x, x⟫)
rfl
lemma
inner_product_space.core.norm_eq_sqrt_inner
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "norm_eq_sqrt_inner" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_self_eq_norm_mul_norm (x : F) : re ⟪x, x⟫ = ‖x‖ * ‖x‖
by rw [norm_eq_sqrt_inner, ←sqrt_mul inner_self_nonneg (re ⟪x, x⟫), sqrt_mul_self inner_self_nonneg]
lemma
inner_product_space.core.inner_self_eq_norm_mul_norm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_self_eq_norm_mul_norm", "inner_self_nonneg", "norm_eq_sqrt_inner" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
sqrt_norm_sq_eq_norm (x : F) : sqrt (norm_sqF x) = ‖x‖
rfl
lemma
inner_product_space.core.sqrt_norm_sq_eq_norm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_inner_le_norm (x y : F) : ‖⟪x, y⟫‖ ≤ ‖x‖ * ‖y‖
nonneg_le_nonneg_of_sq_le_sq (mul_nonneg (sqrt_nonneg _) (sqrt_nonneg _)) $ calc ‖⟪x, y⟫‖ * ‖⟪x, y⟫‖ = ‖⟪x, y⟫‖ * ‖⟪y, x⟫‖ : by rw [norm_inner_symm] ... ≤ re ⟪x, x⟫ * re ⟪y, y⟫ : inner_mul_inner_self_le x y ... = ‖x‖ * ‖y‖ * (‖x‖ * ‖y‖) : by simp only [inner_self_eq_norm_mul_norm]; ring
lemma
inner_product_space.core.norm_inner_le_norm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_mul_inner_self_le", "inner_self_eq_norm_mul_norm", "nonneg_le_nonneg_of_sq_le_sq", "norm_inner_le_norm", "norm_inner_symm", "ring" ]
Cauchy–Schwarz inequality with norm
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_normed_add_comm_group : normed_add_comm_group F
add_group_norm.to_normed_add_comm_group { to_fun := λ x, sqrt (re ⟪x, x⟫), map_zero' := by simp only [sqrt_zero, inner_zero_right, map_zero], neg' := λ x, by simp only [inner_neg_left, neg_neg, inner_neg_right], add_le' := λ x y, begin have h₁ : ‖⟪x, y⟫‖ ≤ ‖x‖ * ‖y‖ := norm_inner_le_norm _ _, have h₂ : re...
def
inner_product_space.core.to_normed_add_comm_group
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_add_add_self", "inner_neg_left", "inner_neg_right", "inner_self_nonneg", "inner_zero_right", "mul_comm", "nonneg_le_nonneg_of_sq_le_sq", "norm_inner_le_norm", "normed_add_comm_group" ]
Normed group structure constructed from an `inner_product_space.core` structure
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
to_normed_space : normed_space 𝕜 F
{ norm_smul_le := assume r x, begin rw [norm_eq_sqrt_inner, inner_smul_left, inner_smul_right, ←mul_assoc], rw [is_R_or_C.conj_mul, of_real_mul_re, sqrt_mul, ← coe_norm_sq_eq_inner_self, of_real_re], { simp [sqrt_norm_sq_eq_norm, is_R_or_C.sqrt_norm_sq_eq_norm] }, { exact norm_sq_nonneg r } end }
def
inner_product_space.core.to_normed_space
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_smul_left", "inner_smul_right", "is_R_or_C.conj_mul", "is_R_or_C.sqrt_norm_sq_eq_norm", "norm_eq_sqrt_inner", "norm_smul_le", "normed_space" ]
Normed space structure constructed from a `inner_product_space.core` structure
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_product_space.of_core [add_comm_group F] [module 𝕜 F] (c : inner_product_space.core 𝕜 F) : inner_product_space 𝕜 F
begin letI : normed_space 𝕜 F := @inner_product_space.core.to_normed_space 𝕜 F _ _ _ c, exact { norm_sq_eq_inner := λ x, begin have h₁ : ‖x‖^2 = (sqrt (re (c.inner x x))) ^ 2 := rfl, have h₂ : 0 ≤ re (c.inner x x) := inner_product_space.core.inner_self_nonneg, simp [h₁, sq_sqrt, h₂], end...
def
inner_product_space.of_core
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "add_comm_group", "inner_product_space", "inner_product_space.core", "inner_product_space.core.inner_self_nonneg", "inner_product_space.core.to_normed_space", "module", "normed_space" ]
Given a `inner_product_space.core` structure on a space, one can use it to turn the space into an inner product space. The `normed_add_comm_group` structure is expected to already be defined with `inner_product_space.of_core.to_normed_add_comm_group`.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_conj_symm (x y : E) : ⟪y, x⟫† = ⟪x, y⟫
inner_product_space.conj_symm _ _
lemma
inner_conj_symm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
real_inner_comm (x y : F) : ⟪y, x⟫_ℝ = ⟪x, y⟫_ℝ
@inner_conj_symm ℝ _ _ _ _ x y
lemma
real_inner_comm
analysis.inner_product_space
src/analysis/inner_product_space/basic.lean
[ "algebra.direct_sum.module", "analysis.complex.basic", "analysis.convex.uniform", "analysis.normed_space.completion", "analysis.normed_space.bounded_linear_maps", "linear_algebra.bilinear_form" ]
[ "inner_conj_symm" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83