feat(analysis/normed_space/pi_Lp): add lemmas about pi_Lp.equiv (#1…

…3569)

Most of these are trivial `dsimp` lemmas, but they also let us talk about the norm of constant vectors.

src/analysis/normed_space/pi_Lp.lean

@@ -83,6 +83,9 @@ to compare the `L^p` and `L^∞` distances through it. -/
 protected def equiv : pi_Lp p α ≃ Π (i : ι), α i :=
 equiv.refl _
 
+@[simp] lemma equiv_apply (x : pi_Lp p α) (i : ι) : pi_Lp.equiv p α x i = x i := rfl
+@[simp] lemma equiv_symm_apply (x : Π i, α i) (i : ι) : (pi_Lp.equiv p α).symm x i = x i := rfl
+
 section
 /-!
 ### The uniformity on finite `L^p` products is the product uniformity
@@ -314,12 +317,53 @@ instance normed_space [∀i, semi_normed_group (β i)] [∀i, normed_space 𝕜
 
 /- Register simplification lemmas for the applications of `pi_Lp` elements, as the usual lemmas
 for Pi types will not trigger. -/
-variables {𝕜 p α}
-[∀i, semi_normed_group (β i)] [∀i, normed_space 𝕜 (β i)] (c : 𝕜) (x y : pi_Lp p β) (i : ι)
+variables {𝕜 p α} [Π i, semi_normed_group (β i)] [Π i, normed_space 𝕜 (β i)] (c : 𝕜)
+variables (x y : pi_Lp p β) (x' y' : Π i, β i) (i : ι)
 
+@[simp] lemma zero_apply : (0 : pi_Lp p β) i = 0 := rfl
 @[simp] lemma add_apply : (x + y) i = x i + y i := rfl
 @[simp] lemma sub_apply : (x - y) i = x i - y i := rfl
 @[simp] lemma smul_apply : (c • x) i = c • x i := rfl
 @[simp] lemma neg_apply : (-x) i = - (x i) := rfl
 
+@[simp] lemma equiv_zero : pi_Lp.equiv p β 0 = 0 := rfl
+@[simp] lemma equiv_symm_zero : (pi_Lp.equiv p β).symm 0 = 0 := rfl
+
+@[simp] lemma equiv_add :
+  pi_Lp.equiv p β (x + y) = pi_Lp.equiv p β x + pi_Lp.equiv p β y := rfl
+@[simp] lemma equiv_symm_add :
+  (pi_Lp.equiv p β).symm (x' + y') = (pi_Lp.equiv p β).symm x' + (pi_Lp.equiv p β).symm y' := rfl
+
+@[simp] lemma equiv_sub : pi_Lp.equiv p β (x - y) = pi_Lp.equiv p β x - pi_Lp.equiv p β y := rfl
+@[simp] lemma equiv_symm_sub :
+  (pi_Lp.equiv p β).symm (x' - y') = (pi_Lp.equiv p β).symm x' - (pi_Lp.equiv p β).symm y' := rfl
+
+@[simp] lemma equiv_neg : pi_Lp.equiv p β (-x) = -pi_Lp.equiv p β x := rfl
+@[simp] lemma equiv_symm_neg : (pi_Lp.equiv p β).symm (-x') = -(pi_Lp.equiv p β).symm x' := rfl
+
+@[simp] lemma equiv_smul : pi_Lp.equiv p β (c • x) = c • pi_Lp.equiv p β x := rfl
+@[simp] lemma equiv_symm_smul :
+  (pi_Lp.equiv p β).symm (c • x') = c • (pi_Lp.equiv p β).symm x' := rfl
+
+lemma nnnorm_equiv_symm_const {β} [semi_normed_group β] (b : β) :
+  ∥(pi_Lp.equiv p (λ _ : ι, β)).symm (function.const _ b)∥₊ = fintype.card ι ^ (1 / p) * ∥b∥₊ :=
+begin
+  have : p ≠ 0 := (zero_lt_one.trans_le (fact.out $ 1 ≤ p)).ne',
+  simp_rw [pi_Lp.nnnorm_eq, equiv_symm_apply, function.const_apply, finset.sum_const,
+    finset.card_univ, nsmul_eq_mul, nnreal.mul_rpow, ←nnreal.rpow_mul, mul_one_div_cancel this,
+    nnreal.rpow_one],
+end
+
+lemma norm_equiv_symm_const {β} [semi_normed_group β] (b : β) :
+  ∥(pi_Lp.equiv p (λ _ : ι, β)).symm (function.const _ b)∥ = fintype.card ι ^ (1 / p) * ∥b∥ :=
+(congr_arg coe $ nnnorm_equiv_symm_const b).trans $ by simp
+
+lemma nnnorm_equiv_symm_one {β} [semi_normed_group β] [has_one β] :
+  ∥(pi_Lp.equiv p (λ _ : ι, β)).symm 1∥₊ = fintype.card ι ^ (1 / p) * ∥(1 : β)∥₊ :=
+(nnnorm_equiv_symm_const (1 : β)).trans rfl
+
+lemma norm_equiv_symm_one {β} [semi_normed_group β] [has_one β] :
+  ∥(pi_Lp.equiv p (λ _ : ι, β)).symm 1∥ = fintype.card ι ^ (1 / p) * ∥(1 : β)∥ :=
+(norm_equiv_symm_const (1 : β)).trans rfl
+
 end pi_Lp