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has_compact_support.cont_diff_convolution_left [μ.is_add_left_invariant] [μ.is_neg_invariant] {n : ℕ∞} (hcf : has_compact_support f) (hf : cont_diff 𝕜 n f) (hg : locally_integrable g μ) : cont_diff 𝕜 n (f ⋆[L, μ] g)
by { rw [← convolution_flip], exact hcf.cont_diff_convolution_right L.flip hg hf }
lemma
has_compact_support.cont_diff_convolution_left
analysis
src/analysis/convolution.lean
[ "analysis.calculus.bump_function_inner", "analysis.calculus.parametric_integral", "measure_theory.constructions.prod.integral", "measure_theory.function.locally_integrable", "measure_theory.group.integration", "measure_theory.group.prod", "measure_theory.integral.interval_integral" ]
[ "cont_diff", "convolution_flip" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
pos_convolution (f : ℝ → E) (g : ℝ → E') (L : E →L[ℝ] E' →L[ℝ] F) (ν : measure ℝ . volume_tac) : ℝ → F
indicator (Ioi (0:ℝ)) (λ x, ∫ t in 0..x, L (f t) (g (x - t)) ∂ν)
def
pos_convolution
analysis
src/analysis/convolution.lean
[ "analysis.calculus.bump_function_inner", "analysis.calculus.parametric_integral", "measure_theory.constructions.prod.integral", "measure_theory.function.locally_integrable", "measure_theory.group.integration", "measure_theory.group.prod", "measure_theory.integral.interval_integral" ]
[]
The forward convolution of two functions `f` and `g` on `ℝ`, with respect to a continuous bilinear map `L` and measure `ν`. It is defined to be the function mapping `x` to `∫ t in 0..x, L (f t) (g (x - t)) ∂ν` if `0 < x`, and 0 otherwise.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
pos_convolution_eq_convolution_indicator (f : ℝ → E) (g : ℝ → E') (L : E →L[ℝ] E' →L[ℝ] F) (ν : measure ℝ . volume_tac) [has_no_atoms ν] : pos_convolution f g L ν = convolution (indicator (Ioi 0) f) (indicator (Ioi 0) g) L ν
begin ext1 x, rw [convolution, pos_convolution, indicator], split_ifs, { rw [interval_integral.integral_of_le (le_of_lt h), integral_Ioc_eq_integral_Ioo, ←integral_indicator (measurable_set_Ioo : measurable_set (Ioo 0 x))], congr' 1 with t : 1, have : (t ≤ 0) ∨ (t ∈ Ioo 0 x) ∨ (x ≤ t), {...
lemma
pos_convolution_eq_convolution_indicator
analysis
src/analysis/convolution.lean
[ "analysis.calculus.bump_function_inner", "analysis.calculus.parametric_integral", "measure_theory.constructions.prod.integral", "measure_theory.function.locally_integrable", "measure_theory.group.integration", "measure_theory.group.prod", "measure_theory.integral.interval_integral" ]
[ "continuous_linear_map.map_zero", "continuous_linear_map.zero_apply", "convolution", "interval_integral.integral_of_le", "measurable_set", "measurable_set_Ioo", "pos_convolution" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
integrable_pos_convolution {f : ℝ → E} {g : ℝ → E'} {μ ν : measure ℝ} [sigma_finite μ] [sigma_finite ν] [is_add_right_invariant μ] [has_no_atoms ν] (hf : integrable_on f (Ioi 0) ν) (hg : integrable_on g (Ioi 0) μ) (L : E →L[ℝ] E' →L[ℝ] F) : integrable (pos_convolution f g L ν) μ
begin rw ←integrable_indicator_iff (measurable_set_Ioi : measurable_set (Ioi (0:ℝ))) at hf hg, rw pos_convolution_eq_convolution_indicator f g L ν, exact (hf.convolution_integrand L hg).integral_prod_left, end
lemma
integrable_pos_convolution
analysis
src/analysis/convolution.lean
[ "analysis.calculus.bump_function_inner", "analysis.calculus.parametric_integral", "measure_theory.constructions.prod.integral", "measure_theory.function.locally_integrable", "measure_theory.group.integration", "measure_theory.group.prod", "measure_theory.integral.interval_integral" ]
[ "measurable_set", "measurable_set_Ioi", "pos_convolution", "pos_convolution_eq_convolution_indicator" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
integral_pos_convolution [complete_space E] [complete_space E'] {μ ν : measure ℝ} [sigma_finite μ] [sigma_finite ν] [is_add_right_invariant μ] [has_no_atoms ν] {f : ℝ → E} {g : ℝ → E'} (hf : integrable_on f (Ioi 0) ν) (hg : integrable_on g (Ioi 0) μ) (L : E →L[ℝ] E' →L[ℝ] F) : ∫ x:ℝ in Ioi 0, (∫ t:ℝ in 0..x, L...
begin rw ←integrable_indicator_iff (measurable_set_Ioi : measurable_set (Ioi (0:ℝ))) at hf hg, simp_rw ←integral_indicator measurable_set_Ioi, convert integral_convolution L hf hg using 2, apply pos_convolution_eq_convolution_indicator, end
lemma
integral_pos_convolution
analysis
src/analysis/convolution.lean
[ "analysis.calculus.bump_function_inner", "analysis.calculus.parametric_integral", "measure_theory.constructions.prod.integral", "measure_theory.function.locally_integrable", "measure_theory.group.integration", "measure_theory.group.prod", "measure_theory.integral.interval_integral" ]
[ "complete_space", "integral_convolution", "measurable_set", "measurable_set_Ioi", "pos_convolution_eq_convolution_indicator" ]
The integral over `Ioi 0` of a forward convolution of two functions is equal to the product of their integrals over this set. (Compare `integral_convolution` for the two-sided convolution.)
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
pos_div_pow_pos {α : Type*} [linear_ordered_semifield α] {a b : α} (ha : 0 < a) (hb : 0 < b) (k : ℕ) : 0 < a/b^k
div_pos ha (pow_pos hb k)
lemma
pos_div_pow_pos
analysis
src/analysis/hofer.lean
[ "analysis.specific_limits.basic" ]
[ "div_pos", "linear_ordered_semifield", "pow_pos" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
hofer {X: Type*} [metric_space X] [complete_space X] (x : X) (ε : ℝ) (ε_pos : 0 < ε) {ϕ : X → ℝ} (cont : continuous ϕ) (nonneg : ∀ y, 0 ≤ ϕ y) : ∃ (ε' > 0) (x' : X), ε' ≤ ε ∧ d x' x ≤ 2*ε ∧ ε * ϕ(x) ≤ ε' * ϕ x' ∧ ∀ y, d x' y ≤ ε' → ϕ y ≤ 2*ϕ x'
begin by_contradiction H, have reformulation : ∀ x' (k : ℕ), ε * ϕ x ≤ ε / 2 ^ k * ϕ x' ↔ 2^k * ϕ x ≤ ϕ x', { intros x' k, rw [div_mul_eq_mul_div, le_div_iff, mul_assoc, mul_le_mul_left ε_pos, mul_comm], positivity }, -- Now let's specialize to `ε/2^k` replace H : ∀ k : ℕ, ∀ x', d x' x ≤ 2 * ε ∧ 2^k *...
lemma
hofer
analysis
src/analysis/hofer.lean
[ "analysis.specific_limits.basic" ]
[ "by_contradiction", "cauchy_seq", "cauchy_seq_of_le_geometric", "complete_space", "cont", "continuous", "dist_comm", "dist_le_range_sum_dist", "div_mul_eq_mul_div", "geom_le", "inv_pow", "le_div_iff", "lim", "metric_space", "mul_assoc", "mul_comm", "mul_le_mul_left", "mul_le_mul_of...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
seminormed_add_comm_group : seminormed_add_comm_group (matrix m n α)
pi.seminormed_add_comm_group
def
matrix.seminormed_add_comm_group
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "seminormed_add_comm_group" ]
Seminormed group instance (using sup norm of sup norm) for matrices over a seminormed group. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_le_iff {r : ℝ} (hr : 0 ≤ r) {A : matrix m n α} : ‖A‖ ≤ r ↔ ∀ i j, ‖A i j‖ ≤ r
by simp [pi_norm_le_iff_of_nonneg hr]
lemma
matrix.norm_le_iff
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_le_iff {r : ℝ≥0} {A : matrix m n α} : ‖A‖₊ ≤ r ↔ ∀ i j, ‖A i j‖₊ ≤ r
by simp [pi_nnnorm_le_iff]
lemma
matrix.nnnorm_le_iff
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_lt_iff {r : ℝ} (hr : 0 < r) {A : matrix m n α} : ‖A‖ < r ↔ ∀ i j, ‖A i j‖ < r
by simp [pi_norm_lt_iff hr]
lemma
matrix.norm_lt_iff
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_lt_iff {r : ℝ≥0} (hr : 0 < r) {A : matrix m n α} : ‖A‖₊ < r ↔ ∀ i j, ‖A i j‖₊ < r
by simp [pi_nnnorm_lt_iff hr]
lemma
matrix.nnnorm_lt_iff
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_entry_le_entrywise_sup_norm (A : matrix m n α) {i : m} {j : n} : ‖A i j‖ ≤ ‖A‖
(norm_le_pi_norm (A i) j).trans (norm_le_pi_norm A i)
lemma
matrix.norm_entry_le_entrywise_sup_norm
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_entry_le_entrywise_sup_nnnorm (A : matrix m n α) {i : m} {j : n} : ‖A i j‖₊ ≤ ‖A‖₊
(nnnorm_le_pi_nnnorm (A i) j).trans (nnnorm_le_pi_nnnorm A i)
lemma
matrix.nnnorm_entry_le_entrywise_sup_nnnorm
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_map_eq (A : matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖₊ = ‖a‖₊) : ‖A.map f‖₊ = ‖A‖₊
by simp_rw [pi.nnnorm_def, matrix.map_apply, hf]
lemma
matrix.nnnorm_map_eq
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "matrix.map_apply" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_map_eq (A : matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖ = ‖a‖) : ‖A.map f‖ = ‖A‖
(congr_arg (coe : ℝ≥0 → ℝ) $ nnnorm_map_eq A f $ λ a, subtype.ext $ hf a : _)
lemma
matrix.norm_map_eq
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "subtype.ext" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_transpose (A : matrix m n α) : ‖Aᵀ‖₊ = ‖A‖₊
by { simp_rw [pi.nnnorm_def], exact finset.sup_comm _ _ _ }
lemma
matrix.nnnorm_transpose
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "finset.sup_comm", "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_transpose (A : matrix m n α) : ‖Aᵀ‖ = ‖A‖
congr_arg coe $ nnnorm_transpose A
lemma
matrix.norm_transpose
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_conj_transpose [star_add_monoid α] [normed_star_group α] (A : matrix m n α) : ‖Aᴴ‖₊ = ‖A‖₊
(nnnorm_map_eq _ _ nnnorm_star).trans A.nnnorm_transpose
lemma
matrix.nnnorm_conj_transpose
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "nnnorm_star", "normed_star_group", "star_add_monoid" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_conj_transpose [star_add_monoid α] [normed_star_group α] (A : matrix m n α) : ‖Aᴴ‖ = ‖A‖
congr_arg coe $ nnnorm_conj_transpose A
lemma
matrix.norm_conj_transpose
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "normed_star_group", "star_add_monoid" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_col (v : m → α) : ‖col v‖₊ = ‖v‖₊
by simp [pi.nnnorm_def]
lemma
matrix.nnnorm_col
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_col (v : m → α) : ‖col v‖ = ‖v‖
congr_arg coe $ nnnorm_col v
lemma
matrix.norm_col
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_row (v : n → α) : ‖row v‖₊ = ‖v‖₊
by simp [pi.nnnorm_def]
lemma
matrix.nnnorm_row
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_row (v : n → α) : ‖row v‖ = ‖v‖
congr_arg coe $ nnnorm_row v
lemma
matrix.norm_row
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
nnnorm_diagonal [decidable_eq n] (v : n → α) : ‖diagonal v‖₊ = ‖v‖₊
begin simp_rw pi.nnnorm_def, congr' 1 with i : 1, refine le_antisymm (finset.sup_le $ λ j hj, _) _, { obtain rfl | hij := eq_or_ne i j, { rw diagonal_apply_eq }, { rw [diagonal_apply_ne _ hij, nnnorm_zero], exact zero_le _ }, }, { refine eq.trans_le _ (finset.le_sup (finset.mem_univ i)), rw ...
lemma
matrix.nnnorm_diagonal
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "eq_or_ne", "finset.le_sup", "finset.mem_univ" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
norm_diagonal [decidable_eq n] (v : n → α) : ‖diagonal v‖ = ‖v‖
congr_arg coe $ nnnorm_diagonal v
lemma
matrix.norm_diagonal
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
normed_add_comm_group [normed_add_comm_group α] : normed_add_comm_group (matrix m n α)
pi.normed_add_comm_group
def
matrix.normed_add_comm_group
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "normed_add_comm_group" ]
Normed group instance (using sup norm of sup norm) for matrices over a normed group. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
normed_space : normed_space R (matrix m n α)
pi.normed_space
def
matrix.normed_space
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "normed_space", "pi.normed_space" ]
Normed space instance (using sup norm of sup norm) for matrices over a normed space. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_seminormed_add_comm_group [seminormed_add_comm_group α] : seminormed_add_comm_group (matrix m n α)
(by apply_instance : seminormed_add_comm_group (m → pi_Lp 1 (λ j : n, α)))
def
matrix.linfty_op_seminormed_add_comm_group
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "pi_Lp", "seminormed_add_comm_group" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_normed_add_comm_group [normed_add_comm_group α] : normed_add_comm_group (matrix m n α)
(by apply_instance : normed_add_comm_group (m → pi_Lp 1 (λ j : n, α)))
def
matrix.linfty_op_normed_add_comm_group
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "normed_add_comm_group", "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_normed_space [normed_field R] [seminormed_add_comm_group α] [normed_space R α] : normed_space R (matrix m n α)
(by apply_instance : normed_space R (m → pi_Lp 1 (λ j : n, α)))
def
matrix.linfty_op_normed_space
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "normed_field", "normed_space", "pi_Lp", "seminormed_add_comm_group" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_norm_def (A : matrix m n α) : ‖A‖ = ((finset.univ : finset m).sup (λ i : m, ∑ j : n, ‖A i j‖₊) : ℝ≥0)
by simp [pi.norm_def, pi_Lp.nnnorm_eq_sum ennreal.one_ne_top]
lemma
matrix.linfty_op_norm_def
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "ennreal.one_ne_top", "finset", "finset.univ", "matrix", "pi_Lp.nnnorm_eq_sum" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_nnnorm_def (A : matrix m n α) : ‖A‖₊ = (finset.univ : finset m).sup (λ i : m, ∑ j : n, ‖A i j‖₊)
subtype.ext $ linfty_op_norm_def A
lemma
matrix.linfty_op_nnnorm_def
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "finset", "finset.univ", "matrix", "subtype.ext" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_nnnorm_col (v : m → α) : ‖col v‖₊ = ‖v‖₊
begin rw [linfty_op_nnnorm_def, pi.nnnorm_def], simp, end
lemma
matrix.linfty_op_nnnorm_col
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_norm_col (v : m → α) : ‖col v‖ = ‖v‖
congr_arg coe $ linfty_op_nnnorm_col v
lemma
matrix.linfty_op_norm_col
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_nnnorm_row (v : n → α) : ‖row v‖₊ = ∑ i, ‖v i‖₊
by simp [linfty_op_nnnorm_def]
lemma
matrix.linfty_op_nnnorm_row
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_norm_row (v : n → α) : ‖row v‖ = ∑ i, ‖v i‖
(congr_arg coe $ linfty_op_nnnorm_row v).trans $ by simp [nnreal.coe_sum]
lemma
matrix.linfty_op_norm_row
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "nnreal.coe_sum" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_nnnorm_diagonal [decidable_eq m] (v : m → α) : ‖diagonal v‖₊ = ‖v‖₊
begin rw [linfty_op_nnnorm_def, pi.nnnorm_def], congr' 1 with i : 1, refine (finset.sum_eq_single_of_mem _ (finset.mem_univ i) $ λ j hj hij, _).trans _, { rw [diagonal_apply_ne' _ hij, nnnorm_zero] }, { rw [diagonal_apply_eq] }, end
lemma
matrix.linfty_op_nnnorm_diagonal
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "finset.mem_univ" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_norm_diagonal [decidable_eq m] (v : m → α) : ‖diagonal v‖ = ‖v‖
congr_arg coe $ linfty_op_nnnorm_diagonal v
lemma
matrix.linfty_op_norm_diagonal
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_nnnorm_mul (A : matrix l m α) (B : matrix m n α) : ‖A ⬝ B‖₊ ≤ ‖A‖₊ * ‖B‖₊
begin simp_rw [linfty_op_nnnorm_def, matrix.mul_apply], calc finset.univ.sup (λ i, ∑ k, ‖∑ j, A i j * B j k‖₊) ≤ finset.univ.sup (λ i, ∑ k j, ‖A i j‖₊ * ‖B j k‖₊) : finset.sup_mono_fun $ λ i hi, finset.sum_le_sum $ λ k hk, nnnorm_sum_le_of_le _ $ λ j hj, nnnorm_mul_le _ _ ... = finset.univ.sup (λ ...
lemma
matrix.linfty_op_nnnorm_mul
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "finset.le_sup", "finset.mul_sum", "finset.sup_mono_fun", "matrix", "matrix.mul_apply", "mul_le_mul_of_nonneg_left", "nnnorm_mul_le" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_norm_mul (A : matrix l m α) (B : matrix m n α) : ‖A ⬝ B‖ ≤ ‖A‖ * ‖B‖
linfty_op_nnnorm_mul _ _
lemma
matrix.linfty_op_norm_mul
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_nnnorm_mul_vec (A : matrix l m α) (v : m → α) : ‖A.mul_vec v‖₊ ≤ ‖A‖₊ * ‖v‖₊
begin rw [←linfty_op_nnnorm_col (A.mul_vec v), ←linfty_op_nnnorm_col v], exact linfty_op_nnnorm_mul A (col v), end
lemma
matrix.linfty_op_nnnorm_mul_vec
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_norm_mul_vec (A : matrix l m α) (v : m → α) : ‖matrix.mul_vec A v‖ ≤ ‖A‖ * ‖v‖
linfty_op_nnnorm_mul_vec _ _
lemma
matrix.linfty_op_norm_mul_vec
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_non_unital_semi_normed_ring [non_unital_semi_normed_ring α] : non_unital_semi_normed_ring (matrix n n α)
{ norm_mul := linfty_op_norm_mul, .. matrix.linfty_op_seminormed_add_comm_group, .. matrix.non_unital_ring }
def
matrix.linfty_op_non_unital_semi_normed_ring
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "matrix.linfty_op_seminormed_add_comm_group", "non_unital_semi_normed_ring", "norm_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_norm_one_class [semi_normed_ring α] [norm_one_class α] [decidable_eq n] [nonempty n] : norm_one_class (matrix n n α)
{ norm_one := (linfty_op_norm_diagonal _).trans norm_one }
instance
matrix.linfty_op_norm_one_class
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "norm_one_class", "semi_normed_ring" ]
The `L₁-L∞` norm preserves one on non-empty matrices. Note this is safe as an instance, as it carries no data.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_semi_normed_ring [semi_normed_ring α] [decidable_eq n] : semi_normed_ring (matrix n n α)
{ .. matrix.linfty_op_non_unital_semi_normed_ring, .. matrix.ring }
def
matrix.linfty_op_semi_normed_ring
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "matrix.linfty_op_non_unital_semi_normed_ring", "semi_normed_ring" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_non_unital_normed_ring [non_unital_normed_ring α] : non_unital_normed_ring (matrix n n α)
{ ..matrix.linfty_op_non_unital_semi_normed_ring }
def
matrix.linfty_op_non_unital_normed_ring
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "matrix.linfty_op_non_unital_semi_normed_ring", "non_unital_normed_ring" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_normed_ring [normed_ring α] [decidable_eq n] : normed_ring (matrix n n α)
{ ..matrix.linfty_op_semi_normed_ring }
def
matrix.linfty_op_normed_ring
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "matrix.linfty_op_semi_normed_ring", "normed_ring" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
linfty_op_normed_algebra [normed_field R] [semi_normed_ring α] [normed_algebra R α] [decidable_eq n] : normed_algebra R (matrix n n α)
{ ..matrix.linfty_op_normed_space }
def
matrix.linfty_op_normed_algebra
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "matrix.linfty_op_normed_space", "normed_algebra", "normed_field", "semi_normed_ring" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_seminormed_add_comm_group [seminormed_add_comm_group α] : seminormed_add_comm_group (matrix m n α)
(by apply_instance : seminormed_add_comm_group (pi_Lp 2 (λ i : m, pi_Lp 2 (λ j : n, α))))
def
matrix.frobenius_seminormed_add_comm_group
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "pi_Lp", "seminormed_add_comm_group" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_normed_add_comm_group [normed_add_comm_group α] : normed_add_comm_group (matrix m n α)
(by apply_instance : normed_add_comm_group (pi_Lp 2 (λ i : m, pi_Lp 2 (λ j : n, α))))
def
matrix.frobenius_normed_add_comm_group
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "normed_add_comm_group", "pi_Lp" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_normed_space [normed_field R] [seminormed_add_comm_group α] [normed_space R α] : normed_space R (matrix m n α)
(by apply_instance : normed_space R (pi_Lp 2 (λ i : m, pi_Lp 2 (λ j : n, α))))
def
matrix.frobenius_normed_space
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "normed_field", "normed_space", "pi_Lp", "seminormed_add_comm_group" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_nnnorm_def (A : matrix m n α) : ‖A‖₊ = (∑ i j, ‖A i j‖₊ ^ (2 : ℝ)) ^ (1/2 : ℝ)
by simp_rw [pi_Lp.nnnorm_eq_of_L2, nnreal.sq_sqrt, nnreal.sqrt_eq_rpow, nnreal.rpow_two]
lemma
matrix.frobenius_nnnorm_def
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "nnreal.rpow_two", "nnreal.sq_sqrt", "nnreal.sqrt_eq_rpow", "pi_Lp.nnnorm_eq_of_L2" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_norm_def (A : matrix m n α) : ‖A‖ = (∑ i j, ‖A i j‖ ^ (2 : ℝ)) ^ (1/2 : ℝ)
(congr_arg coe (frobenius_nnnorm_def A)).trans $ by simp [nnreal.coe_sum]
lemma
matrix.frobenius_norm_def
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "nnreal.coe_sum" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_nnnorm_map_eq (A : matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖₊ = ‖a‖₊) : ‖A.map f‖₊ = ‖A‖₊
by simp_rw [frobenius_nnnorm_def, matrix.map_apply, hf]
lemma
matrix.frobenius_nnnorm_map_eq
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "matrix.map_apply" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_norm_map_eq (A : matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖ = ‖a‖) : ‖A.map f‖ = ‖A‖
(congr_arg (coe : ℝ≥0 → ℝ) $ frobenius_nnnorm_map_eq A f $ λ a, subtype.ext $ hf a : _)
lemma
matrix.frobenius_norm_map_eq
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "subtype.ext" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_nnnorm_transpose (A : matrix m n α) : ‖Aᵀ‖₊ = ‖A‖₊
by { rw [frobenius_nnnorm_def, frobenius_nnnorm_def, finset.sum_comm], refl }
lemma
matrix.frobenius_nnnorm_transpose
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_norm_transpose (A : matrix m n α) : ‖Aᵀ‖ = ‖A‖
congr_arg coe $ frobenius_nnnorm_transpose A
lemma
matrix.frobenius_norm_transpose
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_nnnorm_conj_transpose [star_add_monoid α] [normed_star_group α] (A : matrix m n α) : ‖Aᴴ‖₊ = ‖A‖₊
(frobenius_nnnorm_map_eq _ _ nnnorm_star).trans A.frobenius_nnnorm_transpose
lemma
matrix.frobenius_nnnorm_conj_transpose
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "nnnorm_star", "normed_star_group", "star_add_monoid" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_norm_conj_transpose [star_add_monoid α] [normed_star_group α] (A : matrix m n α) : ‖Aᴴ‖ = ‖A‖
congr_arg coe $ frobenius_nnnorm_conj_transpose A
lemma
matrix.frobenius_norm_conj_transpose
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "normed_star_group", "star_add_monoid" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_normed_star_group [star_add_monoid α] [normed_star_group α] : normed_star_group (matrix m m α)
⟨frobenius_norm_conj_transpose⟩
instance
matrix.frobenius_normed_star_group
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "normed_star_group", "star_add_monoid" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_norm_row (v : m → α) : ‖row v‖ = ‖(pi_Lp.equiv 2 _).symm v‖
begin rw [frobenius_norm_def, fintype.sum_unique, pi_Lp.norm_eq_of_L2, real.sqrt_eq_rpow], simp only [row_apply, real.rpow_two, pi_Lp.equiv_symm_apply], end
lemma
matrix.frobenius_norm_row
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "pi_Lp.equiv", "pi_Lp.equiv_symm_apply", "pi_Lp.norm_eq_of_L2", "real.rpow_two", "real.sqrt_eq_rpow" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_nnnorm_row (v : m → α) : ‖row v‖₊ = ‖(pi_Lp.equiv 2 _).symm v‖₊
subtype.ext $ frobenius_norm_row v
lemma
matrix.frobenius_nnnorm_row
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "pi_Lp.equiv", "subtype.ext" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_norm_col (v : n → α) : ‖col v‖ = ‖(pi_Lp.equiv 2 _).symm v‖
begin simp_rw [frobenius_norm_def, fintype.sum_unique, pi_Lp.norm_eq_of_L2, real.sqrt_eq_rpow], simp only [col_apply, real.rpow_two, pi_Lp.equiv_symm_apply] end
lemma
matrix.frobenius_norm_col
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "pi_Lp.equiv", "pi_Lp.equiv_symm_apply", "pi_Lp.norm_eq_of_L2", "real.rpow_two", "real.sqrt_eq_rpow" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_nnnorm_col (v : n → α) : ‖col v‖₊ = ‖(pi_Lp.equiv 2 _).symm v‖₊
subtype.ext $ frobenius_norm_col v
lemma
matrix.frobenius_nnnorm_col
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "pi_Lp.equiv", "subtype.ext" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_nnnorm_diagonal [decidable_eq n] (v : n → α) : ‖diagonal v‖₊ = ‖(pi_Lp.equiv 2 _).symm v‖₊
begin simp_rw [frobenius_nnnorm_def, ←finset.sum_product', finset.univ_product_univ, pi_Lp.nnnorm_eq_of_L2], let s := (finset.univ : finset n).map ⟨λ i : n, (i, i), λ i j h, congr_arg prod.fst h⟩, rw ←finset.sum_subset (finset.subset_univ s) (λ i hi his, _), { rw [finset.sum_map, nnreal.sqrt_eq_rpow], d...
lemma
matrix.frobenius_nnnorm_diagonal
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "finset", "finset.mem_univ", "finset.subset_univ", "finset.univ", "finset.univ_product_univ", "nnreal.rpow_two", "nnreal.sqrt_eq_rpow", "nnreal.zero_rpow", "pi_Lp.equiv", "pi_Lp.nnnorm_eq_of_L2", "prod.ext", "two_ne_zero" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_norm_diagonal [decidable_eq n] (v : n → α) : ‖diagonal v‖ = ‖(pi_Lp.equiv 2 _).symm v‖
(congr_arg coe $ frobenius_nnnorm_diagonal v : _).trans rfl
lemma
matrix.frobenius_norm_diagonal
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "pi_Lp.equiv" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_nnnorm_one [decidable_eq n] [seminormed_add_comm_group α] [has_one α] : ‖(1 : matrix n n α)‖₊ = nnreal.sqrt (fintype.card n) * ‖(1 : α)‖₊
begin refine (frobenius_nnnorm_diagonal _).trans _, simp_rw [pi_Lp.nnnorm_equiv_symm_const ennreal.two_ne_top, nnreal.sqrt_eq_rpow], simp only [ennreal.to_real_div, ennreal.one_to_real, ennreal.to_real_bit0], end
lemma
matrix.frobenius_nnnorm_one
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "ennreal.one_to_real", "ennreal.to_real_bit0", "ennreal.to_real_div", "ennreal.two_ne_top", "fintype.card", "matrix", "nnreal.sqrt", "nnreal.sqrt_eq_rpow", "pi_Lp.nnnorm_equiv_symm_const", "seminormed_add_comm_group" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_nnnorm_mul (A : matrix l m α) (B : matrix m n α) : ‖A ⬝ B‖₊ ≤ ‖A‖₊ * ‖B‖₊
begin simp_rw [frobenius_nnnorm_def, matrix.mul_apply], rw [←nnreal.mul_rpow, @finset.sum_comm _ n m, finset.sum_mul_sum, finset.sum_product], refine nnreal.rpow_le_rpow _ one_half_pos.le, refine finset.sum_le_sum (λ i hi, finset.sum_le_sum $ λ j hj, _), rw [← nnreal.rpow_le_rpow_iff one_half_pos, ← nnreal.rp...
lemma
matrix.frobenius_nnnorm_mul
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "finset.sum_mul_sum", "is_R_or_C.inner_apply", "matrix", "matrix.mul_apply", "mul_div_cancel'", "nnnorm_inner_le_nnnorm", "nnnorm_star", "nnreal.mul_rpow", "nnreal.rpow_le_rpow", "nnreal.rpow_le_rpow_iff", "nnreal.rpow_mul", "nnreal.rpow_one", "nnreal.rpow_two", "nnreal.sqrt_eq_rpow", "o...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_norm_mul (A : matrix l m α) (B : matrix m n α) : ‖A ⬝ B‖ ≤ ‖A‖ * ‖B‖
frobenius_nnnorm_mul A B
lemma
matrix.frobenius_norm_mul
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_normed_ring [decidable_eq m] : normed_ring (matrix m m α)
{ norm := has_norm.norm, norm_mul := frobenius_norm_mul, ..matrix.frobenius_seminormed_add_comm_group }
def
matrix.frobenius_normed_ring
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "matrix.frobenius_seminormed_add_comm_group", "norm_mul", "normed_ring" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
frobenius_normed_algebra [decidable_eq m] [normed_field R] [normed_algebra R α] : normed_algebra R (matrix m m α)
{ ..matrix.frobenius_normed_space }
def
matrix.frobenius_normed_algebra
analysis
src/analysis/matrix.lean
[ "analysis.normed_space.basic", "analysis.normed_space.pi_Lp", "analysis.inner_product_space.pi_L2" ]
[ "matrix", "matrix.frobenius_normed_space", "normed_algebra", "normed_field" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
geom_mean_le_arith_mean_weighted (w z : ι → ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i in s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) : (∏ i in s, (z i) ^ (w i)) ≤ ∑ i in s, w i * z i
begin -- If some number `z i` equals zero and has non-zero weight, then LHS is 0 and RHS is nonnegative. by_cases A : ∃ i ∈ s, z i = 0 ∧ w i ≠ 0, { rcases A with ⟨i, his, hzi, hwi⟩, rw [prod_eq_zero his], { exact sum_nonneg (λ j hj, mul_nonneg (hw j hj) (hz j hj)) }, { rw hzi, exact zero_rpow hwi } },...
theorem
real.geom_mean_le_arith_mean_weighted
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "eq_or_lt_of_le", "exp_sum", "mul_comm", "not_and", "not_exists", "not_not", "set.mem_univ", "smul_eq_mul" ]
AM-GM inequality: the **geometric mean is less than or equal to the arithmetic mean**, weighted version for real-valued nonnegative functions.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
geom_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i in s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : (∏ i in s, (z i) ^ (w i)) = x
calc (∏ i in s, (z i) ^ (w i)) = ∏ i in s, x ^ w i : begin refine prod_congr rfl (λ i hi, _), cases eq_or_ne (w i) 0 with h₀ h₀, { rw [h₀, rpow_zero, rpow_zero] }, { rw hx i hi h₀ } end ... = x : begin rw [← rpow_sum_of_nonneg _ hw, hw', rpow_one], have : (∑ i in s, w i) ≠ 0, { rw hw',...
theorem
real.geom_mean_weighted_of_constant
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "eq_or_ne", "one_ne_zero" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
arith_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw' : ∑ i in s, w i = 1) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : ∑ i in s, w i * z i = x
calc ∑ i in s, w i * z i = ∑ i in s, w i * x : begin refine sum_congr rfl (λ i hi, _), cases eq_or_ne (w i) 0 with hwi hwi, { rw [hwi, zero_mul, zero_mul] }, { rw hx i hi hwi }, end ... = x : by rw [←sum_mul, hw', one_mul]
theorem
real.arith_mean_weighted_of_constant
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "eq_or_ne", "one_mul", "zero_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
geom_mean_eq_arith_mean_weighted_of_constant (w z : ι → ℝ) (x : ℝ) (hw : ∀ i ∈ s, 0 ≤ w i) (hw' : ∑ i in s, w i = 1) (hz : ∀ i ∈ s, 0 ≤ z i) (hx : ∀ i ∈ s, w i ≠ 0 → z i = x) : (∏ i in s, (z i) ^ (w i)) = ∑ i in s, w i * z i
by rw [geom_mean_weighted_of_constant, arith_mean_weighted_of_constant]; assumption
theorem
real.geom_mean_eq_arith_mean_weighted_of_constant
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
geom_mean_le_arith_mean_weighted (w z : ι → ℝ≥0) (hw' : ∑ i in s, w i = 1) : (∏ i in s, (z i) ^ (w i:ℝ)) ≤ ∑ i in s, w i * z i
by exact_mod_cast real.geom_mean_le_arith_mean_weighted _ _ _ (λ i _, (w i).coe_nonneg) (by assumption_mod_cast) (λ i _, (z i).coe_nonneg)
theorem
nnreal.geom_mean_le_arith_mean_weighted
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "real.geom_mean_le_arith_mean_weighted" ]
The geometric mean is less than or equal to the arithmetic mean, weighted version for `nnreal`-valued functions.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
geom_mean_le_arith_mean2_weighted (w₁ w₂ p₁ p₂ : ℝ≥0) : w₁ + w₂ = 1 → p₁ ^ (w₁:ℝ) * p₂ ^ (w₂:ℝ) ≤ w₁ * p₁ + w₂ * p₂
by simpa only [fin.prod_univ_succ, fin.sum_univ_succ, finset.prod_empty, finset.sum_empty, fintype.univ_of_is_empty, fin.cons_succ, fin.cons_zero, add_zero, mul_one] using geom_mean_le_arith_mean_weighted univ ![w₁, w₂] ![p₁, p₂]
theorem
nnreal.geom_mean_le_arith_mean2_weighted
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "fin.cons_succ", "fin.cons_zero", "fin.prod_univ_succ", "finset.prod_empty", "fintype.univ_of_is_empty", "mul_one" ]
The geometric mean is less than or equal to the arithmetic mean, weighted version for two `nnreal` numbers.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
geom_mean_le_arith_mean3_weighted (w₁ w₂ w₃ p₁ p₂ p₃ : ℝ≥0) : w₁ + w₂ + w₃ = 1 → p₁ ^ (w₁:ℝ) * p₂ ^ (w₂:ℝ) * p₃ ^ (w₃:ℝ) ≤ w₁ * p₁ + w₂ * p₂ + w₃ * p₃
by simpa only [fin.prod_univ_succ, fin.sum_univ_succ, finset.prod_empty, finset.sum_empty, fintype.univ_of_is_empty, fin.cons_succ, fin.cons_zero, add_zero, mul_one, ← add_assoc, mul_assoc] using geom_mean_le_arith_mean_weighted univ ![w₁, w₂, w₃] ![p₁, p₂, p₃]
theorem
nnreal.geom_mean_le_arith_mean3_weighted
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "fin.cons_succ", "fin.cons_zero", "fin.prod_univ_succ", "finset.prod_empty", "fintype.univ_of_is_empty", "mul_assoc", "mul_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
geom_mean_le_arith_mean4_weighted (w₁ w₂ w₃ w₄ p₁ p₂ p₃ p₄ : ℝ≥0) : w₁ + w₂ + w₃ + w₄ = 1 → p₁ ^ (w₁:ℝ) * p₂ ^ (w₂:ℝ) * p₃ ^ (w₃:ℝ)* p₄ ^ (w₄:ℝ) ≤ w₁ * p₁ + w₂ * p₂ + w₃ * p₃ + w₄ * p₄
by simpa only [fin.prod_univ_succ, fin.sum_univ_succ, finset.prod_empty, finset.sum_empty, fintype.univ_of_is_empty, fin.cons_succ, fin.cons_zero, add_zero, mul_one, ← add_assoc, mul_assoc] using geom_mean_le_arith_mean_weighted univ ![w₁, w₂, w₃, w₄] ![p₁, p₂, p₃, p₄]
theorem
nnreal.geom_mean_le_arith_mean4_weighted
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "fin.cons_succ", "fin.cons_zero", "fin.prod_univ_succ", "finset.prod_empty", "fintype.univ_of_is_empty", "mul_assoc", "mul_one" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
geom_mean_le_arith_mean2_weighted {w₁ w₂ p₁ p₂ : ℝ} (hw₁ : 0 ≤ w₁) (hw₂ : 0 ≤ w₂) (hp₁ : 0 ≤ p₁) (hp₂ : 0 ≤ p₂) (hw : w₁ + w₂ = 1) : p₁ ^ w₁ * p₂ ^ w₂ ≤ w₁ * p₁ + w₂ * p₂
nnreal.geom_mean_le_arith_mean2_weighted ⟨w₁, hw₁⟩ ⟨w₂, hw₂⟩ ⟨p₁, hp₁⟩ ⟨p₂, hp₂⟩ $ nnreal.coe_eq.1 $ by assumption
theorem
real.geom_mean_le_arith_mean2_weighted
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "nnreal.geom_mean_le_arith_mean2_weighted" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
geom_mean_le_arith_mean3_weighted {w₁ w₂ w₃ p₁ p₂ p₃ : ℝ} (hw₁ : 0 ≤ w₁) (hw₂ : 0 ≤ w₂) (hw₃ : 0 ≤ w₃) (hp₁ : 0 ≤ p₁) (hp₂ : 0 ≤ p₂) (hp₃ : 0 ≤ p₃) (hw : w₁ + w₂ + w₃ = 1) : p₁ ^ w₁ * p₂ ^ w₂ * p₃ ^ w₃ ≤ w₁ * p₁ + w₂ * p₂ + w₃ * p₃
nnreal.geom_mean_le_arith_mean3_weighted ⟨w₁, hw₁⟩ ⟨w₂, hw₂⟩ ⟨w₃, hw₃⟩ ⟨p₁, hp₁⟩ ⟨p₂, hp₂⟩ ⟨p₃, hp₃⟩ $ nnreal.coe_eq.1 hw
theorem
real.geom_mean_le_arith_mean3_weighted
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "nnreal.geom_mean_le_arith_mean3_weighted" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
geom_mean_le_arith_mean4_weighted {w₁ w₂ w₃ w₄ p₁ p₂ p₃ p₄ : ℝ} (hw₁ : 0 ≤ w₁) (hw₂ : 0 ≤ w₂) (hw₃ : 0 ≤ w₃) (hw₄ : 0 ≤ w₄) (hp₁ : 0 ≤ p₁) (hp₂ : 0 ≤ p₂) (hp₃ : 0 ≤ p₃) (hp₄ : 0 ≤ p₄) (hw : w₁ + w₂ + w₃ + w₄ = 1) : p₁ ^ w₁ * p₂ ^ w₂ * p₃ ^ w₃ * p₄ ^ w₄ ≤ w₁ * p₁ + w₂ * p₂ + w₃ * p₃ + w₄ * p₄
nnreal.geom_mean_le_arith_mean4_weighted ⟨w₁, hw₁⟩ ⟨w₂, hw₂⟩ ⟨w₃, hw₃⟩ ⟨w₄, hw₄⟩ ⟨p₁, hp₁⟩ ⟨p₂, hp₂⟩ ⟨p₃, hp₃⟩ ⟨p₄, hp₄⟩ $ nnreal.coe_eq.1 $ by assumption
theorem
real.geom_mean_le_arith_mean4_weighted
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "nnreal.geom_mean_le_arith_mean4_weighted" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
young_inequality_of_nonneg {a b p q : ℝ} (ha : 0 ≤ a) (hb : 0 ≤ b) (hpq : p.is_conjugate_exponent q) : a * b ≤ a^p / p + b^q / q
by simpa [← rpow_mul, ha, hb, hpq.ne_zero, hpq.symm.ne_zero, div_eq_inv_mul] using geom_mean_le_arith_mean2_weighted hpq.one_div_nonneg hpq.symm.one_div_nonneg (rpow_nonneg_of_nonneg ha p) (rpow_nonneg_of_nonneg hb q) hpq.inv_add_inv_conj
theorem
real.young_inequality_of_nonneg
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "div_eq_inv_mul" ]
Young's inequality, a version for nonnegative real numbers.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
young_inequality (a b : ℝ) {p q : ℝ} (hpq : p.is_conjugate_exponent q) : a * b ≤ |a|^p / p + |b|^q / q
calc a * b ≤ |a * b| : le_abs_self (a * b) ... = |a| * |b| : abs_mul a b ... ≤ |a|^p / p + |b|^q / q : real.young_inequality_of_nonneg (abs_nonneg a) (abs_nonneg b) hpq
theorem
real.young_inequality
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "abs_mul", "abs_nonneg", "le_abs_self", "real.young_inequality_of_nonneg" ]
Young's inequality, a version for arbitrary real numbers.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
young_inequality (a b : ℝ≥0) {p q : ℝ≥0} (hp : 1 < p) (hpq : 1 / p + 1 / q = 1) : a * b ≤ a^(p:ℝ) / p + b^(q:ℝ) / q
real.young_inequality_of_nonneg a.coe_nonneg b.coe_nonneg ⟨hp, nnreal.coe_eq.2 hpq⟩
theorem
nnreal.young_inequality
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "real.young_inequality_of_nonneg" ]
Young's inequality, `ℝ≥0` version. We use `{p q : ℝ≥0}` in order to avoid constructing witnesses of `0 ≤ p` and `0 ≤ q` for the denominators.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
young_inequality_real (a b : ℝ≥0) {p q : ℝ} (hpq : p.is_conjugate_exponent q) : a * b ≤ a ^ p / real.to_nnreal p + b ^ q / real.to_nnreal q
begin nth_rewrite 0 ← real.coe_to_nnreal p hpq.nonneg, nth_rewrite 0 ← real.coe_to_nnreal q hpq.symm.nonneg, exact young_inequality a b hpq.one_lt_nnreal hpq.inv_add_inv_conj_nnreal, end
theorem
nnreal.young_inequality_real
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "real.coe_to_nnreal", "real.to_nnreal" ]
Young's inequality, `ℝ≥0` version with real conjugate exponents.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
young_inequality (a b : ℝ≥0∞) {p q : ℝ} (hpq : p.is_conjugate_exponent q) : a * b ≤ a ^ p / ennreal.of_real p + b ^ q / ennreal.of_real q
begin by_cases h : a = ⊤ ∨ b = ⊤, { refine le_trans le_top (le_of_eq _), repeat { rw div_eq_mul_inv }, cases h; rw h; simp [h, hpq.pos, hpq.symm.pos], }, push_neg at h, -- if a ≠ ⊤ and b ≠ ⊤, use the nnreal version: nnreal.young_inequality_real rw [←coe_to_nnreal h.left, ←coe_to_nnreal h.right, ←coe_mul...
theorem
ennreal.young_inequality
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "div_eq_mul_inv", "ennreal.of_real", "le_top", "nnreal.young_inequality_real", "real.to_nnreal" ]
Young's inequality, `ℝ≥0∞` version with real conjugate exponents.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_le_Lp_mul_Lp_of_norm_le_one (f g : ι → ℝ≥0) {p q : ℝ} (hpq : p.is_conjugate_exponent q) (hf : ∑ i in s, (f i) ^ p ≤ 1) (hg : ∑ i in s, (g i) ^ q ≤ 1) : ∑ i in s, f i * g i ≤ 1
begin have hp_ne_zero : real.to_nnreal p ≠ 0, from (zero_lt_one.trans hpq.one_lt_nnreal).ne.symm, have hq_ne_zero : real.to_nnreal q ≠ 0, from (zero_lt_one.trans hpq.symm.one_lt_nnreal).ne.symm, calc ∑ i in s, f i * g i ≤ ∑ i in s, ((f i) ^ p / real.to_nnreal p + (g i) ^ q / real.to_nnreal q) : finset.s...
lemma
nnreal.inner_le_Lp_mul_Lp_of_norm_le_one
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "div_le_iff", "div_mul_cancel", "real.to_nnreal" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_le_Lp_mul_Lp_of_norm_eq_zero (f g : ι → ℝ≥0) {p q : ℝ} (hpq : p.is_conjugate_exponent q) (hf : ∑ i in s, (f i) ^ p = 0) : ∑ i in s, f i * g i ≤ (∑ i in s, (f i) ^ p) ^ (1 / p) * (∑ i in s, (g i) ^ q) ^ (1 / q)
begin simp only [hf, hpq.ne_zero, one_div, sum_eq_zero_iff, zero_rpow, zero_mul, inv_eq_zero, ne.def, not_false_iff, le_zero_iff, mul_eq_zero], intros i his, left, rw sum_eq_zero_iff at hf, exact (rpow_eq_zero_iff.mp (hf i his)).left, end
lemma
nnreal.inner_le_Lp_mul_Lp_of_norm_eq_zero
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "inv_eq_zero", "le_zero_iff", "mul_eq_zero", "one_div", "zero_mul" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_le_Lp_mul_Lq (f g : ι → ℝ≥0) {p q : ℝ} (hpq : p.is_conjugate_exponent q) : ∑ i in s, f i * g i ≤ (∑ i in s, (f i) ^ p) ^ (1 / p) * (∑ i in s, (g i) ^ q) ^ (1 / q)
begin by_cases hF_zero : ∑ i in s, (f i) ^ p = 0, { exact inner_le_Lp_mul_Lp_of_norm_eq_zero s f g hpq hF_zero, }, by_cases hG_zero : ∑ i in s, (g i) ^ q = 0, { calc ∑ i in s, f i * g i = ∑ i in s, g i * f i : by { congr' with i, rw mul_comm, } ... ≤ (∑ i in s, (g i) ^ q) ^ (1 / q) * (∑ i in s, (f i...
theorem
nnreal.inner_le_Lp_mul_Lq
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "div_le_iff", "div_mul_div_comm", "div_self", "inv_mul_cancel", "mul_comm", "mul_ne_zero", "not_and_distrib", "one_div", "one_mul" ]
Hölder inequality: the scalar product of two functions is bounded by the product of their `L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets, with `ℝ≥0`-valued functions.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_le_Lp_mul_Lq_tsum {f g : ι → ℝ≥0} {p q : ℝ} (hpq : p.is_conjugate_exponent q) (hf : summable (λ i, (f i) ^ p)) (hg : summable (λ i, (g i) ^ q)) : summable (λ i, f i * g i) ∧ ∑' i, f i * g i ≤ (∑' i, (f i) ^ p) ^ (1 / p) * (∑' i, (g i) ^ q) ^ (1 / q)
begin have H₁ : ∀ s : finset ι, ∑ i in s, f i * g i ≤ (∑' i, (f i) ^ p) ^ (1 / p) * (∑' i, (g i) ^ q) ^ (1 / q), { intros s, refine le_trans (inner_le_Lp_mul_Lq s f g hpq) (mul_le_mul _ _ bot_le bot_le), { rw nnreal.rpow_le_rpow_iff (one_div_pos.mpr hpq.pos), exact sum_le_tsum _ (λ _ _, zero_le _)...
theorem
nnreal.inner_le_Lp_mul_Lq_tsum
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "bdd_above", "bot_le", "finset", "has_sum_of_is_lub", "is_lub_csupr", "mul_le_mul", "nnreal.rpow_le_rpow_iff", "set.range", "sum_le_tsum", "summable", "tsum_le_of_sum_le" ]
Hölder inequality: the scalar product of two functions is bounded by the product of their `L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `nnreal`-valued functions. For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers, see `inner_le_Lp_mul_Lq_h...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
summable_mul_of_Lp_Lq {f g : ι → ℝ≥0} {p q : ℝ} (hpq : p.is_conjugate_exponent q) (hf : summable (λ i, (f i) ^ p)) (hg : summable (λ i, (g i) ^ q)) : summable (λ i, f i * g i)
(inner_le_Lp_mul_Lq_tsum hpq hf hg).1
theorem
nnreal.summable_mul_of_Lp_Lq
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "summable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_le_Lp_mul_Lq_tsum' {f g : ι → ℝ≥0} {p q : ℝ} (hpq : p.is_conjugate_exponent q) (hf : summable (λ i, (f i) ^ p)) (hg : summable (λ i, (g i) ^ q)) : ∑' i, f i * g i ≤ (∑' i, (f i) ^ p) ^ (1 / p) * (∑' i, (g i) ^ q) ^ (1 / q)
(inner_le_Lp_mul_Lq_tsum hpq hf hg).2
theorem
nnreal.inner_le_Lp_mul_Lq_tsum'
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "summable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
inner_le_Lp_mul_Lq_has_sum {f g : ι → ℝ≥0} {A B : ℝ≥0} {p q : ℝ} (hpq : p.is_conjugate_exponent q) (hf : has_sum (λ i, (f i) ^ p) (A ^ p)) (hg : has_sum (λ i, (g i) ^ q) (B ^ q)) : ∃ C, C ≤ A * B ∧ has_sum (λ i, f i * g i) C
begin obtain ⟨H₁, H₂⟩ := inner_le_Lp_mul_Lq_tsum hpq hf.summable hg.summable, have hA : A = (∑' (i : ι), f i ^ p) ^ (1 / p), { rw [hf.tsum_eq, rpow_inv_rpow_self hpq.ne_zero] }, have hB : B = (∑' (i : ι), g i ^ q) ^ (1 / q), { rw [hg.tsum_eq, rpow_inv_rpow_self hpq.symm.ne_zero] }, refine ⟨∑' i, f i * g i, ...
theorem
nnreal.inner_le_Lp_mul_Lq_has_sum
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "has_sum" ]
Hölder inequality: the scalar product of two functions is bounded by the product of their `L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `nnreal`-valued functions. For an alternative version, convenient if the infinite sums are not already expressed as `p`-th powers, see `inner_le_Lp_mul_...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
rpow_sum_le_const_mul_sum_rpow (f : ι → ℝ≥0) {p : ℝ} (hp : 1 ≤ p) : (∑ i in s, f i) ^ p ≤ (card s) ^ (p - 1) * ∑ i in s, (f i) ^ p
begin cases eq_or_lt_of_le hp with hp hp, { simp [← hp] }, let q : ℝ := p / (p - 1), have hpq : p.is_conjugate_exponent q, { rw real.is_conjugate_exponent_iff hp }, have hp₁ : 1 / p * p = 1 := one_div_mul_cancel hpq.ne_zero, have hq : 1 / q * p = (p - 1), { rw [← hpq.div_conj_eq_sub_one], ring }, ...
theorem
nnreal.rpow_sum_le_const_mul_sum_rpow
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "eq_or_lt_of_le", "nat.smul_one_eq_coe", "nnreal.mul_rpow", "nnreal.rpow_le_rpow", "nnreal.rpow_mul", "one_div_mul_cancel", "one_mul", "pi.one_apply", "real.is_conjugate_exponent_iff", "ring" ]
For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the sum of the `p`-th powers of `f i`. Version for sums over finite sets, with `ℝ≥0`-valued functions.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
is_greatest_Lp (f : ι → ℝ≥0) {p q : ℝ} (hpq : p.is_conjugate_exponent q) : is_greatest ((λ g : ι → ℝ≥0, ∑ i in s, f i * g i) '' {g | ∑ i in s, (g i)^q ≤ 1}) ((∑ i in s, (f i)^p) ^ (1 / p))
begin split, { use λ i, ((f i) ^ p / f i / (∑ i in s, (f i) ^ p) ^ (1 / q)), by_cases hf : ∑ i in s, (f i)^p = 0, { simp [hf, hpq.ne_zero, hpq.symm.ne_zero] }, { have A : p + q - q ≠ 0, by simp [hpq.ne_zero], have B : ∀ y : ℝ≥0, y * y^p / y = y^p, { refine λ y, mul_div_cancel_left_of_imp (λ ...
theorem
nnreal.is_greatest_Lp
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "div_eq_iff", "div_le_iff", "div_mul_cancel", "is_greatest", "mul_div_assoc", "mul_div_cancel_left_of_imp", "mul_le_mul_left'", "mul_one", "nnreal.rpow_le_one", "one_mul" ]
The `L_p` seminorm of a vector `f` is the greatest value of the inner product `∑ i in s, f i * g i` over functions `g` of `L_q` seminorm less than or equal to one.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
Lp_add_le (f g : ι → ℝ≥0) {p : ℝ} (hp : 1 ≤ p) : (∑ i in s, (f i + g i) ^ p) ^ (1 / p) ≤ (∑ i in s, (f i) ^ p) ^ (1 / p) + (∑ i in s, (g i) ^ p) ^ (1 / p)
begin -- The result is trivial when `p = 1`, so we can assume `1 < p`. rcases eq_or_lt_of_le hp with rfl|hp, { simp [finset.sum_add_distrib] }, have hpq := real.is_conjugate_exponent_conjugate_exponent hp, have := is_greatest_Lp s (f + g) hpq, simp only [pi.add_apply, add_mul, sum_add_distrib] at this, rcas...
theorem
nnreal.Lp_add_le
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "eq_or_lt_of_le", "real.is_conjugate_exponent_conjugate_exponent" ]
Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal to the sum of the `L_p`-seminorms of the summands. A version for `nnreal`-valued functions.
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
Lp_add_le_tsum {f g : ι → ℝ≥0} {p : ℝ} (hp : 1 ≤ p) (hf : summable (λ i, (f i) ^ p)) (hg : summable (λ i, (g i) ^ p)) : summable (λ i, (f i + g i) ^ p) ∧ (∑' i, (f i + g i) ^ p) ^ (1 / p) ≤ (∑' i, (f i) ^ p) ^ (1 / p) + (∑' i, (g i) ^ p) ^ (1 / p)
begin have pos : 0 < p := lt_of_lt_of_le zero_lt_one hp, have H₁ : ∀ s : finset ι, ∑ i in s, (f i + g i) ^ p ≤ ((∑' i, (f i)^p) ^ (1/p) + (∑' i, (g i)^p) ^ (1/p)) ^ p, { intros s, rw ← nnreal.rpow_one_div_le_iff pos, refine le_trans (Lp_add_le s f g hp) (add_le_add _ _); rw nnreal.rpow_le_rpow_iff...
theorem
nnreal.Lp_add_le_tsum
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "bdd_above", "finset", "has_sum_of_is_lub", "is_lub_csupr", "nnreal.rpow_le_rpow_iff", "nnreal.rpow_one_div_le_iff", "set.range", "sum_le_tsum", "summable", "tsum_le_of_sum_le", "zero_lt_one" ]
Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both exist. A version for `nnreal`-valued functions. For an alternative version, convenient if the infinite sums are already expressed as `...
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83
summable_Lp_add {f g : ι → ℝ≥0} {p : ℝ} (hp : 1 ≤ p) (hf : summable (λ i, (f i) ^ p)) (hg : summable (λ i, (g i) ^ p)) : summable (λ i, (f i + g i) ^ p)
(Lp_add_le_tsum hp hf hg).1
theorem
nnreal.summable_Lp_add
analysis
src/analysis/mean_inequalities.lean
[ "analysis.convex.jensen", "analysis.convex.specific_functions.basic", "analysis.special_functions.pow.nnreal", "data.real.conjugate_exponents" ]
[ "summable" ]
https://github.com/leanprover-community/mathlib
65a1391a0106c9204fe45bc73a039f056558cb83