Sums and products from lists

This file provides basic results about List.prod, List.sum, which calculate the product and sum of elements of a list and List.alternatingProd, List.alternatingSum, their alternating counterparts.

def List.sum {α : Type u_8} [Add α] [Zero α] : List α → α

Sum of a list.

List.sum [a, b, c] = ((0 + a) + b) + c

Equations

• List.sum = List.foldl (fun (x x_1 : α) => x + x_1) 0

def List.prod {α : Type u_8} [Mul α] [One α] : List α → α

Product of a list.

List.prod [a, b, c] = ((1 * a) * b) * c

Equations

• List.prod = List.foldl (fun (x x_1 : α) => x * x_1) 1

def List.alternatingSum {G : Type u_8} [Zero G] [Add G] [Neg G] : List G → G

The alternating sum of a list.

Equations

• [].alternatingSum = 0
• [g].alternatingSum = g
• (g :: h :: t).alternatingSum = g + -h + t.alternatingSum

def List.alternatingProd {G : Type u_8} [One G] [Mul G] [Inv G] : List G → G

The alternating product of a list.

Equations

• [].alternatingProd = 1
• [g].alternatingProd = g
• (g :: h :: t).alternatingProd = g * h⁻¹ * t.alternatingProd

@[simp]

theorem List.sum_nil {M : Type u_4} [AddZeroClass M] : [].sum = 0

@[simp]

theorem List.prod_nil {M : Type u_4} [MulOneClass M] : [].prod = 1

theorem List.sum_singleton {M : Type u_4} [AddZeroClass M] {a : M} : [a].sum = a

theorem List.prod_singleton {M : Type u_4} [MulOneClass M] {a : M} : [a].prod = a

@[simp]

theorem List.sum_zero_cons {M : Type u_4} [AddZeroClass M] {l : List M} : (0 :: l).sum = l.sum

@[simp]

theorem List.prod_one_cons {M : Type u_4} [MulOneClass M] {l : List M} : (1 :: l).prod = l.prod

theorem List.sum_map_zero {ι : Type u_1} {M : Type u_4} [AddZeroClass M] {l : List ι} : (List.map (fun (x : ι) => 0) l).sum = 0

theorem List.prod_map_one {ι : Type u_1} {M : Type u_4} [MulOneClass M] {l : List ι} : (List.map (fun (x : ι) => 1) l).prod = 1

@[simp]

theorem List.sum_cons {M : Type u_4} [AddMonoid M] {l : List M} {a : M} : (a :: l).sum = a + l.sum

@[simp]

theorem List.prod_cons {M : Type u_4} [Monoid M] {l : List M} {a : M} : (a :: l).prod = a * l.prod

theorem List.sum_induction {M : Type u_4} [AddMonoid M] {l : List M} (p : M → Prop) (hom : ∀ (a b : M), p a → p b → p (a + b)) (unit : p 0) (base : ∀ x ∈ l, p x) : p l.sum

theorem List.prod_induction {M : Type u_4} [Monoid M] {l : List M} (p : M → Prop) (hom : ∀ (a b : M), p a → p b → p (a * b)) (unit : p 1) (base : ∀ x ∈ l, p x) : p l.prod

@[simp]

theorem List.sum_append {M : Type u_4} [AddMonoid M] {l₁ : List M} {l₂ : List M} : (l₁ ++ l₂).sum = l₁.sum + l₂.sum

@[simp]

theorem List.prod_append {M : Type u_4} [Monoid M] {l₁ : List M} {l₂ : List M} : (l₁ ++ l₂).prod = l₁.prod * l₂.prod

theorem List.sum_concat {M : Type u_4} [AddMonoid M] {l : List M} {a : M} : (l.concat a).sum = l.sum + a

theorem List.prod_concat {M : Type u_4} [Monoid M] {l : List M} {a : M} : (l.concat a).prod = l.prod * a

@[simp]

theorem List.sum_join {M : Type u_4} [AddMonoid M] {l : List (List M)} : l.join.sum = (List.map List.sum l).sum

@[simp]

theorem List.prod_join {M : Type u_4} [Monoid M] {l : List (List M)} : l.join.prod = (List.map List.prod l).prod

theorem List.sum_eq_foldr {M : Type u_4} [AddMonoid M] {l : List M} : l.sum = List.foldr (fun (x x_1 : M) => x + x_1) 0 l

theorem List.prod_eq_foldr {M : Type u_4} [Monoid M] {l : List M} : l.prod = List.foldr (fun (x x_1 : M) => x * x_1) 1 l

@[simp]

theorem List.sum_replicate {M : Type u_4} [AddMonoid M] (n : ℕ) (a : M) : (List.replicate n a).sum = n • a

@[simp]

theorem List.prod_replicate {M : Type u_4} [Monoid M] (n : ℕ) (a : M) : (List.replicate n a).prod = a ^ n

theorem List.sum_eq_card_nsmul {M : Type u_4} [AddMonoid M] (l : List M) (m : M) (h : ∀ x ∈ l, x = m) : l.sum = l.length • m

theorem List.prod_eq_pow_card {M : Type u_4} [Monoid M] (l : List M) (m : M) (h : ∀ x ∈ l, x = m) : l.prod = m ^ l.length

theorem List.sum_hom_rel {ι : Type u_1} {M : Type u_4} {N : Type u_5} [AddMonoid M] [AddMonoid N] (l : List ι) {r : M → N → Prop} {f : ι → M} {g : ι → N} (h₁ : r 0 0) (h₂ : ∀ ⦃i : ι⦄ ⦃a : M⦄ ⦃b : N⦄, r a b → r (f i + a) (g i + b)) : r (List.map f l).sum (List.map g l).sum

theorem List.prod_hom_rel {ι : Type u_1} {M : Type u_4} {N : Type u_5} [Monoid M] [Monoid N] (l : List ι) {r : M → N → Prop} {f : ι → M} {g : ι → N} (h₁ : r 1 1) (h₂ : ∀ ⦃i : ι⦄ ⦃a : M⦄ ⦃b : N⦄, r a b → r (f i * a) (g i * b)) : r (List.map f l).prod (List.map g l).prod

theorem List.rel_sum {M : Type u_4} {N : Type u_5} [AddMonoid M] [AddMonoid N] {R : M → N → Prop} (h : R 0 0) (hf : (R ⇒ R ⇒ R) (fun (x x_1 : M) => x + x_1) fun (x x_1 : N) => x + x_1) : (List.Forall₂ R ⇒ R) List.sum List.sum

theorem List.rel_prod {M : Type u_4} {N : Type u_5} [Monoid M] [Monoid N] {R : M → N → Prop} (h : R 1 1) (hf : (R ⇒ R ⇒ R) (fun (x x_1 : M) => x * x_1) fun (x x_1 : N) => x * x_1) : (List.Forall₂ R ⇒ R) List.prod List.prod

theorem List.sum_hom {M : Type u_4} {N : Type u_5} [AddMonoid M] [AddMonoid N] (l : List M) {F : Type u_8} [FunLike F M N] [AddMonoidHomClass F M N] (f : F) : (List.map (⇑f) l).sum = f l.sum

theorem List.prod_hom {M : Type u_4} {N : Type u_5} [Monoid M] [Monoid N] (l : List M) {F : Type u_8} [FunLike F M N] [MonoidHomClass F M N] (f : F) : (List.map (⇑f) l).prod = f l.prod

theorem List.sum_hom₂ {ι : Type u_1} {M : Type u_4} {N : Type u_5} {P : Type u_6} [AddMonoid M] [AddMonoid N] [AddMonoid P] (l : List ι) (f : M → N → P) (hf : ∀ (a b : M) (c d : N), f (a + b) (c + d) = f a c + f b d) (hf' : f 0 0 = 0) (f₁ : ι → M) (f₂ : ι → N) : (List.map (fun (i : ι) => f (f₁ i) (f₂ i)) l).sum = f (List.map f₁ l).sum (List.map f₂ l).sum

theorem List.prod_hom₂ {ι : Type u_1} {M : Type u_4} {N : Type u_5} {P : Type u_6} [Monoid M] [Monoid N] [Monoid P] (l : List ι) (f : M → N → P) (hf : ∀ (a b : M) (c d : N), f (a * b) (c * d) = f a c * f b d) (hf' : f 1 1 = 1) (f₁ : ι → M) (f₂ : ι → N) : (List.map (fun (i : ι) => f (f₁ i) (f₂ i)) l).prod = f (List.map f₁ l).prod (List.map f₂ l).prod

@[simp]

theorem List.sum_map_add {ι : Type u_1} {α : Type u_8} [AddCommMonoid α] {l : List ι} {f : ι → α} {g : ι → α} : (List.map (fun (i : ι) => f i + g i) l).sum = (List.map f l).sum + (List.map g l).sum

@[simp]

theorem List.prod_map_mul {ι : Type u_1} {α : Type u_8} [CommMonoid α] {l : List ι} {f : ι → α} {g : ι → α} : (List.map (fun (i : ι) => f i * g i) l).prod = (List.map f l).prod * (List.map g l).prod

theorem List.sum_map_hom {ι : Type u_1} {M : Type u_4} {N : Type u_5} [AddMonoid M] [AddMonoid N] (L : List ι) (f : ι → M) {G : Type u_8} [FunLike G M N] [AddMonoidHomClass G M N] (g : G) : (List.map (⇑g ∘ f) L).sum = g (List.map f L).sum

theorem List.prod_map_hom {ι : Type u_1} {M : Type u_4} {N : Type u_5} [Monoid M] [Monoid N] (L : List ι) (f : ι → M) {G : Type u_8} [FunLike G M N] [MonoidHomClass G M N] (g : G) : (List.map (⇑g ∘ f) L).prod = g (List.map f L).prod

theorem List.sum_isAddUnit {M : Type u_4} [AddMonoid M] {L : List M} : (∀ m ∈ L, IsAddUnit m) → IsAddUnit L.sum

theorem List.prod_isUnit {M : Type u_4} [Monoid M] {L : List M} : (∀ m ∈ L, IsUnit m) → IsUnit L.prod

theorem List.sum_isAddUnit_iff {α : Type u_8} [AddCommMonoid α] {L : List α} : IsAddUnit L.sum ↔ ∀ m ∈ L, IsAddUnit m

theorem List.prod_isUnit_iff {α : Type u_8} [CommMonoid α] {L : List α} : IsUnit L.prod ↔ ∀ m ∈ L, IsUnit m

@[simp]

theorem List.sum_take_add_sum_drop {M : Type u_4} [AddMonoid M] (L : List M) (i : ℕ) : (List.take i L).sum + (List.drop i L).sum = L.sum

@[simp]

theorem List.prod_take_mul_prod_drop {M : Type u_4} [Monoid M] (L : List M) (i : ℕ) : (List.take i L).prod * (List.drop i L).prod = L.prod

@[simp]

theorem List.sum_take_succ {M : Type u_4} [AddMonoid M] (L : List M) (i : ℕ) (p : i < L.length) : (List.take (i + 1) L).sum = (List.take i L).sum + L[i]

@[simp]

theorem List.prod_take_succ {M : Type u_4} [Monoid M] (L : List M) (i : ℕ) (p : i < L.length) : (List.take (i + 1) L).prod = (List.take i L).prod * L[i]

theorem List.length_pos_of_sum_ne_zero {M : Type u_4} [AddMonoid M] (L : List M) (h : L.sum ≠ 0) : 0 < L.length

A list with sum not zero must have positive length.

theorem List.length_pos_of_prod_ne_one {M : Type u_4} [Monoid M] (L : List M) (h : L.prod ≠ 1) : 0 < L.length

A list with product not one must have positive length.

theorem List.length_pos_of_sum_pos {M : Type u_4} [AddMonoid M] [Preorder M] (L : List M) (h : 0 < L.sum) : 0 < L.length

A list with positive sum must have positive length.

theorem List.length_pos_of_one_lt_prod {M : Type u_4} [Monoid M] [Preorder M] (L : List M) (h : 1 < L.prod) : 0 < L.length

A list with product greater than one must have positive length.

theorem List.length_pos_of_sum_neg {M : Type u_4} [AddMonoid M] [Preorder M] (L : List M) (h : L.sum < 0) : 0 < L.length

A list with negative sum must have positive length.

theorem List.length_pos_of_prod_lt_one {M : Type u_4} [Monoid M] [Preorder M] (L : List M) (h : L.prod < 1) : 0 < L.length

A list with product less than one must have positive length.

theorem List.sum_set {M : Type u_4} [AddMonoid M] (L : List M) (n : ℕ) (a : M) : (L.set n a).sum = ((List.take n L).sum + if n < L.length then a else 0) + (List.drop (n + 1) L).sum

theorem List.prod_set {M : Type u_4} [Monoid M] (L : List M) (n : ℕ) (a : M) : (L.set n a).prod = ((List.take n L).prod * if n < L.length then a else 1) * (List.drop (n + 1) L).prod

theorem List.get?_zero_add_tail_sum {M : Type u_4} [AddMonoid M] (l : List M) : (l.get? 0).getD 0 + l.tail.sum = l.sum

We'd like to state this as L.headI + L.tail.sum = L.sum, but because L.headI relies on an inhabited instance to return a garbage value on the empty list, this is not possible. Instead, we write the statement in terms of (L.get? 0).getD 0.

theorem List.get?_zero_mul_tail_prod {M : Type u_4} [Monoid M] (l : List M) : (l.get? 0).getD 1 * l.tail.prod = l.prod

We'd like to state this as L.headI * L.tail.prod = L.prod, but because L.headI relies on an inhabited instance to return a garbage value on the empty list, this is not possible. Instead, we write the statement in terms of (L.get? 0).getD 1.

theorem List.headI_add_tail_sum_of_ne_nil {M : Type u_4} [AddMonoid M] [Inhabited M] (l : List M) (h : l ≠ []) : l.headI + l.tail.sum = l.sum

Same as get?_zero_add_tail_sum, but avoiding the List.headI garbage complication by requiring the list to be nonempty.

theorem List.headI_mul_tail_prod_of_ne_nil {M : Type u_4} [Monoid M] [Inhabited M] (l : List M) (h : l ≠ []) : l.headI * l.tail.prod = l.prod

Same as get?_zero_mul_tail_prod, but avoiding the List.headI garbage complication by requiring the list to be nonempty.

theorem AddCommute.list_sum_right {M : Type u_4} [AddMonoid M] (l : List M) (y : M) (h : ∀ x ∈ l, AddCommute y x) : AddCommute y l.sum

theorem Commute.list_prod_right {M : Type u_4} [Monoid M] (l : List M) (y : M) (h : ∀ x ∈ l, Commute y x) : Commute y l.prod

theorem AddCommute.list_sum_left {M : Type u_4} [AddMonoid M] (l : List M) (y : M) (h : ∀ x ∈ l, AddCommute x y) : AddCommute l.sum y

theorem Commute.list_prod_left {M : Type u_4} [Monoid M] (l : List M) (y : M) (h : ∀ x ∈ l, Commute x y) : Commute l.prod y

theorem List.sum_range_succ {M : Type u_4} [AddMonoid M] (f : ℕ → M) (n : ℕ) : (List.map f (List.range n.succ)).sum = (List.map f (List.range n)).sum + f n

theorem List.prod_range_succ {M : Type u_4} [Monoid M] (f : ℕ → M) (n : ℕ) : (List.map f (List.range n.succ)).prod = (List.map f (List.range n)).prod * f n

theorem List.sum_range_succ' {M : Type u_4} [AddMonoid M] (f : ℕ → M) (n : ℕ) : (List.map f (List.range n.succ)).sum = f 0 + (List.map (fun (i : ℕ) => f i.succ) (List.range n)).sum

A variant of sum_range_succ which pulls off the first term in the sum rather than the last.

theorem List.prod_range_succ' {M : Type u_4} [Monoid M] (f : ℕ → M) (n : ℕ) : (List.map f (List.range n.succ)).prod = f 0 * (List.map (fun (i : ℕ) => f i.succ) (List.range n)).prod

A variant of prod_range_succ which pulls off the first term in the product rather than the last.

theorem List.sum_eq_zero {M : Type u_4} [AddMonoid M] {l : List M} (hl : ∀ x ∈ l, x = 0) : l.sum = 0

theorem List.prod_eq_one {M : Type u_4} [Monoid M] {l : List M} (hl : ∀ x ∈ l, x = 1) : l.prod = 1

theorem List.exists_mem_ne_zero_of_sum_ne_zero {M : Type u_4} [AddMonoid M] {l : List M} (h : l.sum ≠ 0) : ∃ x ∈ l, x ≠ 0

theorem List.exists_mem_ne_one_of_prod_ne_one {M : Type u_4} [Monoid M] {l : List M} (h : l.prod ≠ 1) : ∃ x ∈ l, x ≠ 1

theorem List.sum_erase_of_comm {M : Type u_4} [AddMonoid M] {l : List M} {a : M} [DecidableEq M] (ha : a ∈ l) (comm : ∀ x ∈ l, ∀ y ∈ l, x + y = y + x) : a + (l.erase a).sum = l.sum

theorem List.prod_erase_of_comm {M : Type u_4} [Monoid M] {l : List M} {a : M} [DecidableEq M] (ha : a ∈ l) (comm : ∀ x ∈ l, ∀ y ∈ l, x * y = y * x) : a * (l.erase a).prod = l.prod

theorem List.sum_map_eq_nsmul_single {α : Type u_2} {M : Type u_4} [AddMonoid M] [DecidableEq α] {l : List α} (a : α) (f : α → M) (hf : ∀ (a' : α), a' ≠ a → a' ∈ l → f a' = 0) : (List.map f l).sum = List.count a l • f a

theorem List.prod_map_eq_pow_single {α : Type u_2} {M : Type u_4} [Monoid M] [DecidableEq α] {l : List α} (a : α) (f : α → M) (hf : ∀ (a' : α), a' ≠ a → a' ∈ l → f a' = 1) : (List.map f l).prod = f a ^ List.count a l

theorem List.sum_eq_nsmul_single {M : Type u_4} [AddMonoid M] {l : List M} [DecidableEq M] (a : M) (h : ∀ (a' : M), a' ≠ a → a' ∈ l → a' = 0) : l.sum = List.count a l • a

theorem List.prod_eq_pow_single {M : Type u_4} [Monoid M] {l : List M} [DecidableEq M] (a : M) (h : ∀ (a' : M), a' ≠ a → a' ∈ l → a' = 1) : l.prod = a ^ List.count a l

theorem List.Perm.sum_eq' {M : Type u_4} [AddMonoid M] {l₁ : List M} {l₂ : List M} (h : l₁.Perm l₂) (hc : List.Pairwise AddCommute l₁) : l₁.sum = l₂.sum

If elements of a list additively commute with each other, then their sum does not depend on the order of elements.

theorem List.Perm.prod_eq' {M : Type u_4} [Monoid M] {l₁ : List M} {l₂ : List M} (h : l₁.Perm l₂) (hc : List.Pairwise Commute l₁) : l₁.prod = l₂.prod

If elements of a list commute with each other, then their product does not depend on the order of elements.

@[simp]

theorem List.sum_erase {M : Type u_4} [AddCommMonoid M] {a : M} {l : List M} [DecidableEq M] (ha : a ∈ l) : a + (l.erase a).sum = l.sum

@[simp]

theorem List.prod_erase {M : Type u_4} [CommMonoid M] {a : M} {l : List M} [DecidableEq M] (ha : a ∈ l) : a * (l.erase a).prod = l.prod

@[simp]

theorem List.sum_map_erase {α : Type u_2} {M : Type u_4} [AddCommMonoid M] [DecidableEq α] (f : α → M) {a : α} {l : List α} : a ∈ l → f a + (List.map f (l.erase a)).sum = (List.map f l).sum

@[simp]

theorem List.prod_map_erase {α : Type u_2} {M : Type u_4} [CommMonoid M] [DecidableEq α] (f : α → M) {a : α} {l : List α} : a ∈ l → f a * (List.map f (l.erase a)).prod = (List.map f l).prod

theorem List.Perm.sum_eq {M : Type u_4} [AddCommMonoid M] {l₁ : List M} {l₂ : List M} (h : l₁.Perm l₂) : l₁.sum = l₂.sum

theorem List.Perm.prod_eq {M : Type u_4} [CommMonoid M] {l₁ : List M} {l₂ : List M} (h : l₁.Perm l₂) : l₁.prod = l₂.prod

theorem List.sum_reverse {M : Type u_4} [AddCommMonoid M] (l : List M) : l.reverse.sum = l.sum

theorem List.prod_reverse {M : Type u_4} [CommMonoid M] (l : List M) : l.reverse.prod = l.prod

theorem List.sum_add_sum_eq_sum_zipWith_add_sum_drop {M : Type u_4} [AddCommMonoid M] (l : List M) (l' : List M) : l.sum + l'.sum = (List.zipWith (fun (x x_1 : M) => x + x_1) l l').sum + (List.drop l'.length l).sum + (List.drop l.length l').sum

theorem List.prod_mul_prod_eq_prod_zipWith_mul_prod_drop {M : Type u_4} [CommMonoid M] (l : List M) (l' : List M) : l.prod * l'.prod = (List.zipWith (fun (x x_1 : M) => x * x_1) l l').prod * (List.drop l'.length l).prod * (List.drop l.length l').prod

theorem List.sum_add_sum_eq_sum_zipWith_of_length_eq {M : Type u_4} [AddCommMonoid M] (l : List M) (l' : List M) (h : l.length = l'.length) : l.sum + l'.sum = (List.zipWith (fun (x x_1 : M) => x + x_1) l l').sum

theorem List.prod_mul_prod_eq_prod_zipWith_of_length_eq {M : Type u_4} [CommMonoid M] (l : List M) (l' : List M) (h : l.length = l'.length) : l.prod * l'.prod = (List.zipWith (fun (x x_1 : M) => x * x_1) l l').prod

theorem List.sum_map_ite {α : Type u_2} {M : Type u_4} [AddCommMonoid M] (p : α → Prop) [DecidablePred p] (f : α → M) (g : α → M) (l : List α) : (List.map (fun (a : α) => if p a then f a else g a) l).sum = (List.map f (List.filter (fun (b : α) => decide (p b)) l)).sum + (List.map g (List.filter (fun (a : α) => decide ¬p a) l)).sum

theorem List.prod_map_ite {α : Type u_2} {M : Type u_4} [CommMonoid M] (p : α → Prop) [DecidablePred p] (f : α → M) (g : α → M) (l : List α) : (List.map (fun (a : α) => if p a then f a else g a) l).prod = (List.map f (List.filter (fun (b : α) => decide (p b)) l)).prod * (List.map g (List.filter (fun (a : α) => decide ¬p a) l)).prod

theorem List.sum_map_filter_add_sum_map_filter_not {α : Type u_2} {M : Type u_4} [AddCommMonoid M] (p : α → Prop) [DecidablePred p] (f : α → M) (l : List α) : (List.map f (List.filter (fun (b : α) => decide (p b)) l)).sum + (List.map f (List.filter (fun (x : α) => decide ¬p x) l)).sum = (List.map f l).sum

theorem List.prod_map_filter_mul_prod_map_filter_not {α : Type u_2} {M : Type u_4} [CommMonoid M] (p : α → Prop) [DecidablePred p] (f : α → M) (l : List α) : (List.map f (List.filter (fun (b : α) => decide (p b)) l)).prod * (List.map f (List.filter (fun (x : α) => decide ¬p x) l)).prod = (List.map f l).prod

theorem List.eq_of_sum_take_eq {M : Type u_4} [AddLeftCancelMonoid M] {L : List M} {L' : List M} (h : L.length = L'.length) (h' : ∀ i ≤ L.length, (List.take i L).sum = (List.take i L').sum) : L = L'

theorem List.eq_of_prod_take_eq {M : Type u_4} [LeftCancelMonoid M] {L : List M} {L' : List M} (h : L.length = L'.length) (h' : ∀ i ≤ L.length, (List.take i L).prod = (List.take i L').prod) : L = L'

theorem List.sum_neg_reverse {G : Type u_7} [AddGroup G] (L : List G) : -L.sum = (List.map (fun (x : G) => -x) L).reverse.sum

This is the List.sum version of add_neg_rev

theorem List.prod_inv_reverse {G : Type u_7} [Group G] (L : List G) : L.prod⁻¹ = (List.map (fun (x : G) => x⁻¹) L).reverse.prod

This is the List.prod version of mul_inv_rev

theorem List.sum_reverse_noncomm {G : Type u_7} [AddGroup G] (L : List G) : L.reverse.sum = -(List.map (fun (x : G) => -x) L).sum

A non-commutative variant of List.sum_reverse

theorem List.prod_reverse_noncomm {G : Type u_7} [Group G] (L : List G) : L.reverse.prod = (List.map (fun (x : G) => x⁻¹) L).prod⁻¹

A non-commutative variant of List.prod_reverse

@[simp]

theorem List.sum_drop_succ {G : Type u_7} [AddGroup G] (L : List G) (i : ℕ) (p : i < L.length) : (List.drop (i + 1) L).sum = -L[i] + (List.drop i L).sum

Counterpart to List.sum_take_succ when we have a negation operation

@[simp]

theorem List.prod_drop_succ {G : Type u_7} [Group G] (L : List G) (i : ℕ) (p : i < L.length) : (List.drop (i + 1) L).prod = L[i]⁻¹ * (List.drop i L).prod

Counterpart to List.prod_take_succ when we have an inverse operation

theorem List.sum_range_sub' {G : Type u_7} [AddGroup G] (n : ℕ) (f : ℕ → G) : (List.map (fun (k : ℕ) => f k - f (k + 1)) (List.range n)).sum = f 0 - f n

Cancellation of a telescoping sum.

theorem List.prod_range_div' {G : Type u_7} [Group G] (n : ℕ) (f : ℕ → G) : (List.map (fun (k : ℕ) => f k / f (k + 1)) (List.range n)).prod = f 0 / f n

Cancellation of a telescoping product.

theorem List.prod_rotate_eq_one_of_prod_eq_one {G : Type u_7} [Group G] {l : List G} : l.prod = 1 → ∀ (n : ℕ), (l.rotate n).prod = 1

theorem List.sum_neg {G : Type u_7} [AddCommGroup G] (L : List G) : -L.sum = (List.map (fun (x : G) => -x) L).sum

This is the List.sum version of add_neg

theorem List.prod_inv {G : Type u_7} [CommGroup G] (L : List G) : L.prod⁻¹ = (List.map (fun (x : G) => x⁻¹) L).prod

This is the List.prod version of mul_inv

theorem List.sum_range_sub {G : Type u_7} [AddCommGroup G] (n : ℕ) (f : ℕ → G) : (List.map (fun (k : ℕ) => f (k + 1) - f k) (List.range n)).sum = f n - f 0

Cancellation of a telescoping sum.

theorem List.prod_range_div {G : Type u_7} [CommGroup G] (n : ℕ) (f : ℕ → G) : (List.map (fun (k : ℕ) => f (k + 1) / f k) (List.range n)).prod = f n / f 0

Cancellation of a telescoping product.

theorem List.sum_set' {G : Type u_7} [AddCommGroup G] (L : List G) (n : ℕ) (a : G) : (L.set n a).sum = L.sum + if hn : n < L.length then -L[n] + a else 0

Alternative version of List.sum_set when the list is over a group

theorem List.prod_set' {G : Type u_7} [CommGroup G] (L : List G) (n : ℕ) (a : G) : (L.set n a).prod = L.prod * if hn : n < L.length then L[n]⁻¹ * a else 1

Alternative version of List.prod_set when the list is over a group

theorem List.sum_map_ite_eq {G : Type u_7} [AddCommGroup G] {A : Type u_8} [DecidableEq A] (l : List A) (f : A → G) (g : A → G) (a : A) : (List.map (fun (x : A) => if x = a then f x else g x) l).sum = List.count a l • (f a - g a) + (List.map g l).sum

theorem List.prod_map_ite_eq {G : Type u_7} [CommGroup G] {A : Type u_8} [DecidableEq A] (l : List A) (f : A → G) (g : A → G) (a : A) : (List.map (fun (x : A) => if x = a then f x else g x) l).prod = (f a / g a) ^ List.count a l * (List.map g l).prod

theorem List.sum_const_nat (m : ℕ) (n : ℕ) : (List.replicate m n).sum = m * n

Several lemmas about sum/head/tail for List ℕ. These are hard to generalize well, as they rely on the fact that default ℕ = 0. If desired, we could add a class stating that default = 0.

theorem List.headI_add_tail_sum (L : List ℕ) : L.headI + L.tail.sum = L.sum

This relies on default ℕ = 0.

theorem List.headI_le_sum (L : List ℕ) : L.headI ≤ L.sum

This relies on default ℕ = 0.

theorem List.tail_sum (L : List ℕ) : L.tail.sum = L.sum - L.headI

This relies on default ℕ = 0.

@[simp]

theorem List.alternatingSum_nil {α : Type u_2} [Zero α] [Add α] [Neg α] : [].alternatingSum = 0

@[simp]

theorem List.alternatingProd_nil {α : Type u_2} [One α] [Mul α] [Inv α] : [].alternatingProd = 1

@[simp]

theorem List.alternatingSum_singleton {α : Type u_2} [Zero α] [Add α] [Neg α] (a : α) : [a].alternatingSum = a

@[simp]

theorem List.alternatingProd_singleton {α : Type u_2} [One α] [Mul α] [Inv α] (a : α) : [a].alternatingProd = a

theorem List.alternatingSum_cons_cons' {α : Type u_2} [Zero α] [Add α] [Neg α] (a : α) (b : α) (l : List α) : (a :: b :: l).alternatingSum = a + -b + l.alternatingSum

theorem List.alternatingProd_cons_cons' {α : Type u_2} [One α] [Mul α] [Inv α] (a : α) (b : α) (l : List α) : (a :: b :: l).alternatingProd = a * b⁻¹ * l.alternatingProd

theorem List.alternatingSum_cons_cons {α : Type u_2} [SubNegMonoid α] (a : α) (b : α) (l : List α) : (a :: b :: l).alternatingSum = a - b + l.alternatingSum

theorem List.alternatingProd_cons_cons {α : Type u_2} [DivInvMonoid α] (a : α) (b : α) (l : List α) : (a :: b :: l).alternatingProd = a / b * l.alternatingProd

theorem List.alternatingSum_cons' {α : Type u_2} [AddCommGroup α] (a : α) (l : List α) : (a :: l).alternatingSum = a + -l.alternatingSum

theorem List.alternatingProd_cons' {α : Type u_2} [CommGroup α] (a : α) (l : List α) : (a :: l).alternatingProd = a * l.alternatingProd⁻¹

@[simp]

theorem List.alternatingSum_cons {α : Type u_2} [AddCommGroup α] (a : α) (l : List α) : (a :: l).alternatingSum = a - l.alternatingSum

@[simp]

theorem List.alternatingProd_cons {α : Type u_2} [CommGroup α] (a : α) (l : List α) : (a :: l).alternatingProd = a / l.alternatingProd

theorem List.sum_nat_mod (l : List ℕ) (n : ℕ) : l.sum % n = (List.map (fun (x : ℕ) => x % n) l).sum % n

theorem List.prod_nat_mod (l : List ℕ) (n : ℕ) : l.prod % n = (List.map (fun (x : ℕ) => x % n) l).prod % n

theorem List.sum_int_mod (l : List ℤ) (n : ℤ) : l.sum % n = (List.map (fun (x : ℤ) => x % n) l).sum % n

theorem List.prod_int_mod (l : List ℤ) (n : ℤ) : l.prod % n = (List.map (fun (x : ℤ) => x % n) l).prod % n

theorem List.sum_map_count_dedup_filter_eq_countP {α : Type u_2} [DecidableEq α] (p : α → Bool) (l : List α) : (List.map (fun (x : α) => List.count x l) (List.filter p l.dedup)).sum = List.countP p l

Summing the count of x over a list filtered by some p is just countP applied to p

theorem List.sum_map_count_dedup_eq_length {α : Type u_2} [DecidableEq α] (l : List α) : (List.map (fun (x : α) => List.count x l) l.dedup).sum = l.length

theorem map_list_sum {M : Type u_4} {N : Type u_5} [AddMonoid M] [AddMonoid N] {F : Type u_8} [FunLike F M N] [AddMonoidHomClass F M N] (f : F) (l : List M) : f l.sum = (List.map (⇑f) l).sum

theorem map_list_prod {M : Type u_4} {N : Type u_5} [Monoid M] [Monoid N] {F : Type u_8} [FunLike F M N] [MonoidHomClass F M N] (f : F) (l : List M) : f l.prod = (List.map (⇑f) l).prod

@[deprecated map_list_sum]

theorem AddMonoidHom.map_list_sum {M : Type u_4} {N : Type u_5} [AddMonoid M] [AddMonoid N] (f : M →+ N) (l : List M) : f l.sum = (List.map (⇑f) l).sum

@[deprecated map_list_prod]

theorem MonoidHom.map_list_prod {M : Type u_4} {N : Type u_5} [Monoid M] [Monoid N] (f : M →* N) (l : List M) : f l.prod = (List.map (⇑f) l).prod

@[simp]

theorem Nat.sum_eq_listSum (l : List ℕ) : Nat.sum l = l.sum

theorem List.length_sigma {α : Type u_2} {σ : α → Type u_8} (l₁ : List α) (l₂ : (a : α) → List (σ a)) : (l₁.sigma l₂).length = (List.map (fun (a : α) => (l₂ a).length) l₁).sum

theorem List.ranges_join (l : List ℕ) : l.ranges.join = List.range l.sum

theorem List.mem_mem_ranges_iff_lt_sum (l : List ℕ) {n : ℕ} : (∃ s ∈ l.ranges, n ∈ s) ↔ n < l.sum

Any entry of any member of l.ranges is strictly smaller than l.sum.

theorem List.countP_join {α : Type u_2} (p : α → Bool) (L : List (List α)) : List.countP p L.join = (List.map (List.countP p) L).sum

theorem List.count_join {α : Type u_2} [BEq α] (L : List (List α)) (a : α) : List.count a L.join = (List.map (List.count a) L).sum

@[simp]

theorem List.length_bind {α : Type u_2} {β : Type u_3} (l : List α) (f : α → List β) : (l.bind f).length = (List.map (List.length ∘ f) l).sum

theorem List.countP_bind {α : Type u_2} {β : Type u_3} (p : β → Bool) (l : List α) (f : α → List β) : List.countP p (l.bind f) = (List.map (List.countP p ∘ f) l).sum

theorem List.count_bind {α : Type u_2} {β : Type u_3} [BEq β] (l : List α) (f : α → List β) (x : β) : List.count x (l.bind f) = (List.map (List.count x ∘ f) l).sum

theorem List.take_sum_join {α : Type u_2} (L : List (List α)) (i : ℕ) : List.take (List.take i (List.map List.length L)).sum L.join = (List.take i L).join

In a join, taking the first elements up to an index which is the sum of the lengths of the first i sublists, is the same as taking the join of the first i sublists.

theorem List.drop_sum_join {α : Type u_2} (L : List (List α)) (i : ℕ) : List.drop (List.take i (List.map List.length L)).sum L.join = (List.drop i L).join

In a join, dropping all the elements up to an index which is the sum of the lengths of the first i sublists, is the same as taking the join after dropping the first i sublists.

theorem List.drop_take_succ_join_eq_getElem {α : Type u_2} (L : List (List α)) (i : ℕ) (h : i < L.length) : List.drop (List.take i (List.map List.length L)).sum (List.take (List.take (i + 1) (List.map List.length L)).sum L.join) = L[i]

In a join of sublists, taking the slice between the indices A and B - 1 gives back the original sublist of index i if A is the sum of the lengths of sublists of index < i, and B is the sum of the lengths of sublists of index ≤ i.

@[deprecated List.drop_take_succ_join_eq_getElem]

theorem List.drop_take_succ_join_eq_get {α : Type u_2} (L : List (List α)) (i : Fin L.length) : List.drop (List.take (↑i) (List.map List.length L)).sum (List.take (List.take (↑i + 1) (List.map List.length L)).sum L.join) = L.get i

theorem List.neg_one_mem_of_prod_eq_neg_one {l : List ℤ} (h : l.prod = -1) : -1 ∈ l

If a product of integers is -1, then at least one factor must be -1.

theorem List.length_le_sum_of_one_le (L : List ℕ) (h : ∀ i ∈ L, 1 ≤ i) : L.length ≤ L.sum

If all elements in a list are bounded below by 1, then the length of the list is bounded by the sum of the elements.

theorem List.dvd_prod {M : Type u_4} [CommMonoid M] {a : M} {l : List M} (ha : a ∈ l) : a ∣ l.prod

theorem List.Sublist.prod_dvd_prod {M : Type u_4} [CommMonoid M] {l₁ : List M} {l₂ : List M} (h : l₁.Sublist l₂) : l₁.prod ∣ l₂.prod

theorem List.alternatingSum_append {α : Type u_2} [AddCommGroup α] (l₁ : List α) (l₂ : List α) : (l₁ ++ l₂).alternatingSum = l₁.alternatingSum + (-1) ^ l₁.length • l₂.alternatingSum

theorem List.alternatingProd_append {α : Type u_2} [CommGroup α] (l₁ : List α) (l₂ : List α) : (l₁ ++ l₂).alternatingProd = l₁.alternatingProd * l₂.alternatingProd ^ (-1) ^ l₁.length

theorem List.alternatingSum_reverse {α : Type u_2} [AddCommGroup α] (l : List α) : l.reverse.alternatingSum = (-1) ^ (l.length + 1) • l.alternatingSum

theorem List.alternatingProd_reverse {α : Type u_2} [CommGroup α] (l : List α) : l.reverse.alternatingProd = l.alternatingProd ^ (-1) ^ (l.length + 1)

theorem MulOpposite.op_list_prod {M : Type u_4} [Monoid M] (l : List M) : MulOpposite.op l.prod = (List.map MulOpposite.op l).reverse.prod

theorem MulOpposite.unop_list_prod {M : Type u_4} [Monoid M] (l : List Mᵐᵒᵖ) : MulOpposite.unop l.prod = (List.map MulOpposite.unop l).reverse.prod

theorem unop_map_list_prod {M : Type u_4} {N : Type u_5} [Monoid M] [Monoid N] {F : Type u_8} [FunLike F M Nᵐᵒᵖ] [MonoidHomClass F M Nᵐᵒᵖ] (f : F) (l : List M) : MulOpposite.unop (f l.prod) = (List.map (MulOpposite.unop ∘ ⇑f) l).reverse.prod

A morphism into the opposite monoid acts on the product by acting on the reversed elements.