/
basic.lean
1618 lines (1224 loc) · 57.6 KB
/
basic.lean
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/-
Copyright (c) 2018 Ellen Arlt. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Ellen Arlt, Blair Shi, Sean Leather, Mario Carneiro, Johan Commelin, Lu-Ming Zhang
-/
import algebra.big_operators.pi
import algebra.module.pi
import algebra.module.linear_map
import algebra.big_operators.ring
import algebra.star.pi
import algebra.algebra.basic
import data.equiv.ring
import data.fintype.card
import data.matrix.dmatrix
/-!
# Matrices
This file defines basic properties of matrices.
## TODO
Matrices used to have a requirement on `fintype` for both of its indexing types, meaning that
multiplication is not defined on infinite matrices yet.
-/
universes u u' v w
open_locale big_operators
open dmatrix
/-- `matrix m n` is the type of matrices whose rows are indexed by `m`
and whose columns are indexed by `n`. -/
def matrix (m : Type u) (n : Type u') (α : Type v) : Type (max u u' v) :=
m → n → α
variables {l m n o : Type*} {m' : o → Type*} {n' : o → Type*}
variables {R : Type*} {S : Type*} {α : Type v} {β : Type w} {γ : Type*}
namespace matrix
section ext
variables {M N : matrix m n α}
theorem ext_iff : (∀ i j, M i j = N i j) ↔ M = N :=
⟨λ h, funext $ λ i, funext $ h i, λ h, by simp [h]⟩
@[ext] theorem ext : (∀ i j, M i j = N i j) → M = N :=
ext_iff.mp
end ext
/-- `M.map f` is the matrix obtained by applying `f` to each entry of the matrix `M`.
This is available in bundled forms as:
* `add_monoid_hom.map_matrix`
* `linear_map.map_matrix`
* `ring_hom.map_matrix`
* `alg_hom.map_matrix`
* `equiv.map_matrix`
* `add_equiv.map_matrix`
* `linear_equiv.map_matrix`
* `ring_equiv.map_matrix`
* `alg_equiv.map_matrix`
-/
def map (M : matrix m n α) (f : α → β) : matrix m n β := λ i j, f (M i j)
@[simp]
lemma map_apply {M : matrix m n α} {f : α → β} {i : m} {j : n} :
M.map f i j = f (M i j) := rfl
@[simp]
lemma map_id (M : matrix m n α) : M.map id = M :=
by { ext, refl, }
@[simp]
lemma map_map {M : matrix m n α} {β γ : Type*} {f : α → β} {g : β → γ} :
(M.map f).map g = M.map (g ∘ f) :=
by { ext, refl, }
/-- The transpose of a matrix. -/
def transpose (M : matrix m n α) : matrix n m α
| x y := M y x
localized "postfix `ᵀ`:1500 := matrix.transpose" in matrix
/-- The conjugate transpose of a matrix defined in term of `star`. -/
def conj_transpose [has_star α] (M : matrix m n α) : matrix n m α :=
M.transpose.map star
localized "postfix `ᴴ`:1500 := matrix.conj_transpose" in matrix
/-- `matrix.col u` is the column matrix whose entries are given by `u`. -/
def col (w : m → α) : matrix m unit α
| x y := w x
/-- `matrix.row u` is the row matrix whose entries are given by `u`. -/
def row (v : n → α) : matrix unit n α
| x y := v y
instance [inhabited α] : inhabited (matrix m n α) := pi.inhabited _
instance [has_add α] : has_add (matrix m n α) := pi.has_add
instance [add_semigroup α] : add_semigroup (matrix m n α) := pi.add_semigroup
instance [add_comm_semigroup α] : add_comm_semigroup (matrix m n α) := pi.add_comm_semigroup
instance [has_zero α] : has_zero (matrix m n α) := pi.has_zero
instance [add_zero_class α] : add_zero_class (matrix m n α) := pi.add_zero_class
instance [add_monoid α] : add_monoid (matrix m n α) := pi.add_monoid
instance [add_comm_monoid α] : add_comm_monoid (matrix m n α) := pi.add_comm_monoid
instance [has_neg α] : has_neg (matrix m n α) := pi.has_neg
instance [has_sub α] : has_sub (matrix m n α) := pi.has_sub
instance [add_group α] : add_group (matrix m n α) := pi.add_group
instance [add_comm_group α] : add_comm_group (matrix m n α) := pi.add_comm_group
instance [unique α] : unique (matrix m n α) := pi.unique
instance [subsingleton α] : subsingleton (matrix m n α) := pi.subsingleton
instance [nonempty m] [nonempty n] [nontrivial α] : nontrivial (matrix m n α) :=
function.nontrivial
instance [has_scalar R α] : has_scalar R (matrix m n α) := pi.has_scalar
instance [has_scalar R α] [has_scalar S α] [smul_comm_class R S α] :
smul_comm_class R S (matrix m n α) := pi.smul_comm_class
instance [has_scalar R S] [has_scalar R α] [has_scalar S α] [is_scalar_tower R S α] :
is_scalar_tower R S (matrix m n α) := pi.is_scalar_tower
instance [monoid R] [mul_action R α] :
mul_action R (matrix m n α) := pi.mul_action _
instance [monoid R] [add_monoid α] [distrib_mul_action R α] :
distrib_mul_action R (matrix m n α) := pi.distrib_mul_action _
instance [semiring R] [add_comm_monoid α] [module R α] :
module R (matrix m n α) := pi.module _ _ _
@[simp] lemma map_zero [has_zero α] [has_zero β] (f : α → β) (h : f 0 = 0) :
(0 : matrix m n α).map f = 0 :=
by { ext, simp [h], }
lemma map_add [has_add α] [has_add β] (f : α → β) (hf : ∀ a₁ a₂, f (a₁ + a₂) = f a₁ + f a₂)
(M N : matrix m n α) : (M + N).map f = M.map f + N.map f :=
ext $ λ _ _, hf _ _
lemma map_sub [has_sub α] [has_sub β] (f : α → β) (hf : ∀ a₁ a₂, f (a₁ - a₂) = f a₁ - f a₂)
(M N : matrix m n α) : (M - N).map f = M.map f - N.map f :=
ext $ λ _ _, hf _ _
lemma map_smul [has_scalar R α] [has_scalar R β] (f : α → β) (r : R)
(hf : ∀ a, f (r • a) = r • f a) (M : matrix m n α) : (r • M).map f = r • (M.map f) :=
ext $ λ _ _, hf _
lemma _root_.is_smul_regular.matrix [has_scalar R S] {k : R} (hk : is_smul_regular S k) :
is_smul_regular (matrix m n S) k :=
is_smul_regular.pi $ λ _, is_smul_regular.pi $ λ _, hk
lemma _root_.is_left_regular.matrix [has_mul α] {k : α} (hk : is_left_regular k) :
is_smul_regular (matrix m n α) k :=
hk.is_smul_regular.matrix
-- TODO[gh-6025]: make this an instance once safe to do so
lemma subsingleton_of_empty_left [is_empty m] : subsingleton (matrix m n α) :=
⟨λ M N, by { ext, exact is_empty_elim i }⟩
-- TODO[gh-6025]: make this an instance once safe to do so
lemma subsingleton_of_empty_right [is_empty n] : subsingleton (matrix m n α) :=
⟨λ M N, by { ext, exact is_empty_elim j }⟩
end matrix
open_locale matrix
namespace matrix
section diagonal
variables [decidable_eq n]
/-- `diagonal d` is the square matrix such that `(diagonal d) i i = d i` and `(diagonal d) i j = 0`
if `i ≠ j`.
Note that bundled versions exist as:
* `matrix.diagonal_add_monoid_hom`
* `matrix.diagonal_linear_map`
* `matrix.diagonal_ring_hom`
* `matrix.diagonal_alg_hom`
-/
def diagonal [has_zero α] (d : n → α) : matrix n n α
| i j := if i = j then d i else 0
@[simp] theorem diagonal_apply_eq [has_zero α] {d : n → α} (i : n) : (diagonal d) i i = d i :=
by simp [diagonal]
@[simp] theorem diagonal_apply_ne [has_zero α] {d : n → α} {i j : n} (h : i ≠ j) :
(diagonal d) i j = 0 := by simp [diagonal, h]
theorem diagonal_apply_ne' [has_zero α] {d : n → α} {i j : n} (h : j ≠ i) :
(diagonal d) i j = 0 := diagonal_apply_ne h.symm
lemma diagonal_injective [has_zero α] : function.injective (diagonal : (n → α) → matrix n n α) :=
λ d₁ d₂ h, funext $ λ i, by simpa using matrix.ext_iff.mpr h i i
@[simp] theorem diagonal_zero [has_zero α] : (diagonal (λ _, 0) : matrix n n α) = 0 :=
by { ext, simp [diagonal] }
@[simp] lemma diagonal_transpose [has_zero α] (v : n → α) :
(diagonal v)ᵀ = diagonal v :=
begin
ext i j,
by_cases h : i = j,
{ simp [h, transpose] },
{ simp [h, transpose, diagonal_apply_ne' h] }
end
@[simp] theorem diagonal_add [add_zero_class α] (d₁ d₂ : n → α) :
diagonal d₁ + diagonal d₂ = diagonal (λ i, d₁ i + d₂ i) :=
by ext i j; by_cases h : i = j; simp [h]
@[simp] theorem diagonal_smul [monoid R] [add_monoid α] [distrib_mul_action R α] (r : R)
(d : n → α) :
diagonal (r • d) = r • diagonal d :=
by ext i j; by_cases h : i = j; simp [h]
variables (n α)
/-- `matrix.diagonal` as an `add_monoid_hom`. -/
@[simps]
def diagonal_add_monoid_hom [add_zero_class α] : (n → α) →+ matrix n n α :=
{ to_fun := diagonal,
map_zero' := diagonal_zero,
map_add' := λ x y, (diagonal_add x y).symm,}
variables (R)
/-- `matrix.diagonal` as a `linear_map`. -/
@[simps]
def diagonal_linear_map [semiring R] [add_comm_monoid α] [module R α] :
(n → α) →ₗ[R] matrix n n α :=
{ map_smul' := diagonal_smul,
.. diagonal_add_monoid_hom n α,}
variables {n α R}
@[simp] lemma diagonal_map [has_zero α] [has_zero β] {f : α → β} (h : f 0 = 0) {d : n → α} :
(diagonal d).map f = diagonal (λ m, f (d m)) :=
by { ext, simp only [diagonal, map_apply], split_ifs; simp [h], }
section one
variables [has_zero α] [has_one α]
instance : has_one (matrix n n α) := ⟨diagonal (λ _, 1)⟩
@[simp] theorem diagonal_one : (diagonal (λ _, 1) : matrix n n α) = 1 := rfl
theorem one_apply {i j} : (1 : matrix n n α) i j = if i = j then 1 else 0 := rfl
@[simp] theorem one_apply_eq (i) : (1 : matrix n n α) i i = 1 := diagonal_apply_eq i
@[simp] theorem one_apply_ne {i j} : i ≠ j → (1 : matrix n n α) i j = 0 :=
diagonal_apply_ne
theorem one_apply_ne' {i j} : j ≠ i → (1 : matrix n n α) i j = 0 :=
diagonal_apply_ne'
@[simp] lemma map_one [has_zero β] [has_one β]
(f : α → β) (h₀ : f 0 = 0) (h₁ : f 1 = 1) :
(1 : matrix n n α).map f = (1 : matrix n n β) :=
by { ext, simp only [one_apply, map_apply], split_ifs; simp [h₀, h₁], }
end one
section numeral
@[simp] lemma bit0_apply [has_add α] (M : matrix m m α) (i : m) (j : m) :
(bit0 M) i j = bit0 (M i j) := rfl
variables [add_monoid α] [has_one α]
lemma bit1_apply (M : matrix n n α) (i : n) (j : n) :
(bit1 M) i j = if i = j then bit1 (M i j) else bit0 (M i j) :=
by dsimp [bit1]; by_cases h : i = j; simp [h]
@[simp]
lemma bit1_apply_eq (M : matrix n n α) (i : n) :
(bit1 M) i i = bit1 (M i i) :=
by simp [bit1_apply]
@[simp]
lemma bit1_apply_ne (M : matrix n n α) {i j : n} (h : i ≠ j) :
(bit1 M) i j = bit0 (M i j) :=
by simp [bit1_apply, h]
end numeral
end diagonal
section dot_product
variable [fintype m]
/-- `dot_product v w` is the sum of the entrywise products `v i * w i` -/
def dot_product [has_mul α] [add_comm_monoid α] (v w : m → α) : α :=
∑ i, v i * w i
lemma dot_product_assoc [fintype n] [non_unital_semiring α] (u : m → α) (w : n → α)
(v : matrix m n α) :
dot_product (λ j, dot_product u (λ i, v i j)) w = dot_product u (λ i, dot_product (v i) w) :=
by simpa [dot_product, finset.mul_sum, finset.sum_mul, mul_assoc] using finset.sum_comm
lemma dot_product_comm [comm_semiring α] (v w : m → α) :
dot_product v w = dot_product w v :=
by simp_rw [dot_product, mul_comm]
@[simp] lemma dot_product_punit [add_comm_monoid α] [has_mul α] (v w : punit → α) :
dot_product v w = v ⟨⟩ * w ⟨⟩ :=
by simp [dot_product]
section non_unital_non_assoc_semiring
variables [non_unital_non_assoc_semiring α] (u v w : m → α)
@[simp] lemma dot_product_zero : dot_product v 0 = 0 := by simp [dot_product]
@[simp] lemma dot_product_zero' : dot_product v (λ _, 0) = 0 := dot_product_zero v
@[simp] lemma zero_dot_product : dot_product 0 v = 0 := by simp [dot_product]
@[simp] lemma zero_dot_product' : dot_product (λ _, (0 : α)) v = 0 := zero_dot_product v
@[simp] lemma add_dot_product : dot_product (u + v) w = dot_product u w + dot_product v w :=
by simp [dot_product, add_mul, finset.sum_add_distrib]
@[simp] lemma dot_product_add : dot_product u (v + w) = dot_product u v + dot_product u w :=
by simp [dot_product, mul_add, finset.sum_add_distrib]
end non_unital_non_assoc_semiring
section non_unital_non_assoc_semiring_decidable
variables [decidable_eq m] [non_unital_non_assoc_semiring α] (u v w : m → α)
@[simp] lemma diagonal_dot_product (i : m) : dot_product (diagonal v i) w = v i * w i :=
have ∀ j ≠ i, diagonal v i j * w j = 0 := λ j hij, by simp [diagonal_apply_ne' hij],
by convert finset.sum_eq_single i (λ j _, this j) _ using 1; simp
@[simp] lemma dot_product_diagonal (i : m) : dot_product v (diagonal w i) = v i * w i :=
have ∀ j ≠ i, v j * diagonal w i j = 0 := λ j hij, by simp [diagonal_apply_ne' hij],
by convert finset.sum_eq_single i (λ j _, this j) _ using 1; simp
@[simp] lemma dot_product_diagonal' (i : m) : dot_product v (λ j, diagonal w j i) = v i * w i :=
have ∀ j ≠ i, v j * diagonal w j i = 0 := λ j hij, by simp [diagonal_apply_ne hij],
by convert finset.sum_eq_single i (λ j _, this j) _ using 1; simp
end non_unital_non_assoc_semiring_decidable
section ring
variables [ring α] (u v w : m → α)
@[simp] lemma neg_dot_product : dot_product (-v) w = - dot_product v w := by simp [dot_product]
@[simp] lemma dot_product_neg : dot_product v (-w) = - dot_product v w := by simp [dot_product]
@[simp] lemma sub_dot_product : dot_product (u - v) w = dot_product u w - dot_product v w :=
by simp [sub_eq_add_neg]
@[simp] lemma dot_product_sub : dot_product u (v - w) = dot_product u v - dot_product u w :=
by simp [sub_eq_add_neg]
end ring
section distrib_mul_action
variables [monoid R] [has_mul α] [add_comm_monoid α] [distrib_mul_action R α]
@[simp] lemma smul_dot_product [is_scalar_tower R α α] (x : R) (v w : m → α) :
dot_product (x • v) w = x • dot_product v w :=
by simp [dot_product, finset.smul_sum, smul_mul_assoc]
@[simp] lemma dot_product_smul [smul_comm_class R α α] (x : R) (v w : m → α) :
dot_product v (x • w) = x • dot_product v w :=
by simp [dot_product, finset.smul_sum, mul_smul_comm]
end distrib_mul_action
section star_ring
variables [semiring α] [star_ring α] (v w : m → α)
lemma star_dot_product_star : dot_product (star v) (star w) = star (dot_product w v) :=
by simp [dot_product]
lemma star_dot_product : dot_product (star v) w = star (dot_product (star w) v) :=
by simp [dot_product]
lemma dot_product_star : dot_product v (star w) = star (dot_product w (star v)) :=
by simp [dot_product]
end star_ring
end dot_product
/-- `M ⬝ N` is the usual product of matrices `M` and `N`, i.e. we have that
`(M ⬝ N) i k` is the dot product of the `i`-th row of `M` by the `k`-th column of `N`.
This is currently only defined when `m` is finite. -/
protected def mul [fintype m] [has_mul α] [add_comm_monoid α]
(M : matrix l m α) (N : matrix m n α) : matrix l n α :=
λ i k, dot_product (λ j, M i j) (λ j, N j k)
localized "infixl ` ⬝ `:75 := matrix.mul" in matrix
theorem mul_apply [fintype m] [has_mul α] [add_comm_monoid α]
{M : matrix l m α} {N : matrix m n α} {i k} : (M ⬝ N) i k = ∑ j, M i j * N j k := rfl
instance [fintype n] [has_mul α] [add_comm_monoid α] : has_mul (matrix n n α) := ⟨matrix.mul⟩
@[simp] theorem mul_eq_mul [fintype n] [has_mul α] [add_comm_monoid α] (M N : matrix n n α) :
M * N = M ⬝ N := rfl
theorem mul_apply' [fintype m] [has_mul α] [add_comm_monoid α]
{M : matrix l m α} {N : matrix m n α} {i k} : (M ⬝ N) i k = dot_product (λ j, M i j) (λ j, N j k)
:= rfl
@[simp] theorem diagonal_neg [decidable_eq n] [add_group α] (d : n → α) :
-diagonal d = diagonal (λ i, -d i) :=
((diagonal_add_monoid_hom n α).map_neg d).symm
lemma sum_apply [add_comm_monoid α] (i : m) (j : n)
(s : finset β) (g : β → matrix m n α) :
(∑ c in s, g c) i j = ∑ c in s, g c i j :=
(congr_fun (s.sum_apply i g) j).trans (s.sum_apply j _)
section non_unital_non_assoc_semiring
variables [non_unital_non_assoc_semiring α]
@[simp] protected theorem mul_zero [fintype n] (M : matrix m n α) : M ⬝ (0 : matrix n o α) = 0 :=
by { ext i j, apply dot_product_zero }
@[simp] protected theorem zero_mul [fintype m] (M : matrix m n α) : (0 : matrix l m α) ⬝ M = 0 :=
by { ext i j, apply zero_dot_product }
protected theorem mul_add [fintype n] (L : matrix m n α) (M N : matrix n o α) :
L ⬝ (M + N) = L ⬝ M + L ⬝ N := by { ext i j, apply dot_product_add }
protected theorem add_mul [fintype m] (L M : matrix l m α) (N : matrix m n α) :
(L + M) ⬝ N = L ⬝ N + M ⬝ N := by { ext i j, apply add_dot_product }
instance [fintype n] : non_unital_non_assoc_semiring (matrix n n α) :=
{ mul := (*),
add := (+),
zero := 0,
mul_zero := matrix.mul_zero,
zero_mul := matrix.zero_mul,
left_distrib := matrix.mul_add,
right_distrib := matrix.add_mul,
.. matrix.add_comm_monoid}
@[simp] theorem diagonal_mul [fintype m] [decidable_eq m]
(d : m → α) (M : matrix m n α) (i j) : (diagonal d).mul M i j = d i * M i j :=
diagonal_dot_product _ _ _
@[simp] theorem mul_diagonal [fintype n] [decidable_eq n]
(d : n → α) (M : matrix m n α) (i j) : (M ⬝ diagonal d) i j = M i j * d j :=
by { rw ← diagonal_transpose, apply dot_product_diagonal }
@[simp] theorem diagonal_mul_diagonal [fintype n] [decidable_eq n] (d₁ d₂ : n → α) :
(diagonal d₁) ⬝ (diagonal d₂) = diagonal (λ i, d₁ i * d₂ i) :=
by ext i j; by_cases i = j; simp [h]
theorem diagonal_mul_diagonal' [fintype n] [decidable_eq n] (d₁ d₂ : n → α) :
diagonal d₁ * diagonal d₂ = diagonal (λ i, d₁ i * d₂ i) :=
diagonal_mul_diagonal _ _
/-- Left multiplication by a matrix, as an `add_monoid_hom` from matrices to matrices. -/
@[simps] def add_monoid_hom_mul_left [fintype m] (M : matrix l m α) :
matrix m n α →+ matrix l n α :=
{ to_fun := λ x, M ⬝ x,
map_zero' := matrix.mul_zero _,
map_add' := matrix.mul_add _ }
/-- Right multiplication by a matrix, as an `add_monoid_hom` from matrices to matrices. -/
@[simps] def add_monoid_hom_mul_right [fintype m] (M : matrix m n α) :
matrix l m α →+ matrix l n α :=
{ to_fun := λ x, x ⬝ M,
map_zero' := matrix.zero_mul _,
map_add' := λ _ _, matrix.add_mul _ _ _ }
protected lemma sum_mul [fintype m] (s : finset β) (f : β → matrix l m α)
(M : matrix m n α) : (∑ a in s, f a) ⬝ M = ∑ a in s, f a ⬝ M :=
(add_monoid_hom_mul_right M : matrix l m α →+ _).map_sum f s
protected lemma mul_sum [fintype m] (s : finset β) (f : β → matrix m n α)
(M : matrix l m α) : M ⬝ ∑ a in s, f a = ∑ a in s, M ⬝ f a :=
(add_monoid_hom_mul_left M : matrix m n α →+ _).map_sum f s
end non_unital_non_assoc_semiring
section non_assoc_semiring
variables [non_assoc_semiring α]
@[simp] protected theorem one_mul [fintype m] [decidable_eq m] (M : matrix m n α) :
(1 : matrix m m α) ⬝ M = M :=
by ext i j; rw [← diagonal_one, diagonal_mul, one_mul]
@[simp] protected theorem mul_one [fintype n] [decidable_eq n] (M : matrix m n α) :
M ⬝ (1 : matrix n n α) = M :=
by ext i j; rw [← diagonal_one, mul_diagonal, mul_one]
instance [fintype n] [decidable_eq n] : non_assoc_semiring (matrix n n α) :=
{ one := 1,
one_mul := matrix.one_mul,
mul_one := matrix.mul_one,
.. matrix.non_unital_non_assoc_semiring }
@[simp]
lemma map_mul [fintype n] {L : matrix m n α} {M : matrix n o α} [non_assoc_semiring β]
{f : α →+* β} : (L ⬝ M).map f = L.map f ⬝ M.map f :=
by { ext, simp [mul_apply, ring_hom.map_sum], }
variables (α n)
/-- `matrix.diagonal` as a `ring_hom`. -/
@[simps]
def diagonal_ring_hom [fintype n] [decidable_eq n] : (n → α) →+* matrix n n α :=
{ to_fun := diagonal,
map_one' := diagonal_one,
map_mul' := λ _ _, (diagonal_mul_diagonal' _ _).symm,
.. diagonal_add_monoid_hom n α }
end non_assoc_semiring
section non_unital_semiring
variables [non_unital_semiring α] [fintype m] [fintype n]
protected theorem mul_assoc (L : matrix l m α) (M : matrix m n α) (N : matrix n o α) :
(L ⬝ M) ⬝ N = L ⬝ (M ⬝ N) :=
by { ext, apply dot_product_assoc }
instance : non_unital_semiring (matrix n n α) :=
{ mul_assoc := matrix.mul_assoc, ..matrix.non_unital_non_assoc_semiring }
end non_unital_semiring
section semiring
variables [semiring α]
instance [fintype n] [decidable_eq n] : semiring (matrix n n α) :=
{ ..matrix.non_unital_semiring, ..matrix.non_assoc_semiring }
end semiring
section ring
variables [ring α] [fintype n]
@[simp] theorem neg_mul (M : matrix m n α) (N : matrix n o α) :
(-M) ⬝ N = -(M ⬝ N) :=
by { ext, apply neg_dot_product }
@[simp] theorem mul_neg (M : matrix m n α) (N : matrix n o α) :
M ⬝ (-N) = -(M ⬝ N) :=
by { ext, apply dot_product_neg }
protected theorem sub_mul (M M' : matrix m n α) (N : matrix n o α) :
(M - M') ⬝ N = M ⬝ N - M' ⬝ N :=
by rw [sub_eq_add_neg, matrix.add_mul, neg_mul, sub_eq_add_neg]
protected theorem mul_sub (M : matrix m n α) (N N' : matrix n o α) :
M ⬝ (N - N') = M ⬝ N - M ⬝ N' :=
by rw [sub_eq_add_neg, matrix.mul_add, mul_neg, sub_eq_add_neg]
end ring
instance [fintype n] [decidable_eq n] [ring α] : ring (matrix n n α) :=
{ ..matrix.semiring, ..matrix.add_comm_group }
section semiring
variables [semiring α]
lemma smul_eq_diagonal_mul [fintype m] [decidable_eq m] (M : matrix m n α) (a : α) :
a • M = diagonal (λ _, a) ⬝ M :=
by { ext, simp }
@[simp] lemma smul_mul [fintype n] [monoid R] [distrib_mul_action R α] [is_scalar_tower R α α]
(a : R) (M : matrix m n α) (N : matrix n l α) :
(a • M) ⬝ N = a • M ⬝ N :=
by { ext, apply smul_dot_product }
/-- This instance enables use with `smul_mul_assoc`. -/
instance semiring.is_scalar_tower [fintype n] [monoid R] [distrib_mul_action R α]
[is_scalar_tower R α α] : is_scalar_tower R (matrix n n α) (matrix n n α) :=
⟨λ r m n, matrix.smul_mul r m n⟩
@[simp] lemma mul_smul [fintype n] [monoid R] [distrib_mul_action R α] [smul_comm_class R α α]
(M : matrix m n α) (a : R) (N : matrix n l α) : M ⬝ (a • N) = a • M ⬝ N :=
by { ext, apply dot_product_smul }
/-- This instance enables use with `mul_smul_comm`. -/
instance semiring.smul_comm_class [fintype n] [monoid R] [distrib_mul_action R α]
[smul_comm_class R α α] : smul_comm_class R (matrix n n α) (matrix n n α) :=
⟨λ r m n, (matrix.mul_smul m r n).symm⟩
@[simp] lemma mul_mul_left [fintype n] (M : matrix m n α) (N : matrix n o α) (a : α) :
(λ i j, a * M i j) ⬝ N = a • (M ⬝ N) :=
smul_mul a M N
/--
The ring homomorphism `α →+* matrix n n α`
sending `a` to the diagonal matrix with `a` on the diagonal.
-/
def scalar (n : Type u) [decidable_eq n] [fintype n] : α →+* matrix n n α :=
{ to_fun := λ a, a • 1,
map_one' := by simp,
map_mul' := by { intros, ext, simp [mul_assoc], },
.. (smul_add_hom α _).flip (1 : matrix n n α) }
section scalar
variables [decidable_eq n] [fintype n]
@[simp] lemma coe_scalar : (scalar n : α → matrix n n α) = λ a, a • 1 := rfl
lemma scalar_apply_eq (a : α) (i : n) :
scalar n a i i = a :=
by simp only [coe_scalar, smul_eq_mul, mul_one, one_apply_eq, pi.smul_apply]
lemma scalar_apply_ne (a : α) (i j : n) (h : i ≠ j) :
scalar n a i j = 0 :=
by simp only [h, coe_scalar, one_apply_ne, ne.def, not_false_iff, pi.smul_apply, smul_zero]
lemma scalar_inj [nonempty n] {r s : α} : scalar n r = scalar n s ↔ r = s :=
begin
split,
{ intro h,
inhabit n,
rw [← scalar_apply_eq r (arbitrary n), ← scalar_apply_eq s (arbitrary n), h] },
{ rintro rfl, refl }
end
end scalar
end semiring
section comm_semiring
variables [comm_semiring α] [fintype n]
lemma smul_eq_mul_diagonal [decidable_eq n] (M : matrix m n α) (a : α) :
a • M = M ⬝ diagonal (λ _, a) :=
by { ext, simp [mul_comm] }
@[simp] lemma mul_mul_right (M : matrix m n α) (N : matrix n o α) (a : α) :
M ⬝ (λ i j, a * N i j) = a • (M ⬝ N) :=
mul_smul M a N
lemma scalar.commute [decidable_eq n] (r : α) (M : matrix n n α) : commute (scalar n r) M :=
by simp [commute, semiconj_by]
end comm_semiring
section algebra
variables [fintype n] [decidable_eq n]
variables [comm_semiring R] [semiring α] [semiring β] [algebra R α] [algebra R β]
instance : algebra R (matrix n n α) :=
{ commutes' := λ r x, begin
ext, simp [matrix.scalar, matrix.mul_apply, matrix.one_apply, algebra.commutes, smul_ite], end,
smul_def' := λ r x, begin ext, simp [matrix.scalar, algebra.smul_def'' r], end,
..((matrix.scalar n).comp (algebra_map R α)) }
lemma algebra_map_matrix_apply {r : R} {i j : n} :
algebra_map R (matrix n n α) r i j = if i = j then algebra_map R α r else 0 :=
begin
dsimp [algebra_map, algebra.to_ring_hom, matrix.scalar],
split_ifs with h; simp [h, matrix.one_apply_ne],
end
lemma algebra_map_eq_diagonal (r : R) :
algebra_map R (matrix n n α) r = diagonal (algebra_map R (n → α) r) :=
matrix.ext $ λ i j, algebra_map_matrix_apply
@[simp] lemma algebra_map_eq_smul (r : R) :
algebra_map R (matrix n n R) r = r • (1 : matrix n n R) := rfl
lemma algebra_map_eq_diagonal_ring_hom :
algebra_map R (matrix n n α) = (diagonal_ring_hom n α).comp (algebra_map R _) :=
ring_hom.ext algebra_map_eq_diagonal
@[simp] lemma map_algebra_map (r : R) (f : α → β) (hf : f 0 = 0)
(hf₂ : f (algebra_map R α r) = algebra_map R β r) :
(algebra_map R (matrix n n α) r).map f = algebra_map R (matrix n n β) r :=
begin
rw [algebra_map_eq_diagonal, algebra_map_eq_diagonal, diagonal_map hf],
congr' 1 with x,
simp only [hf₂, pi.algebra_map_apply]
end
variables (R)
/-- `matrix.diagonal` as an `alg_hom`. -/
@[simps]
def diagonal_alg_hom : (n → α) →ₐ[R] matrix n n α :=
{ to_fun := diagonal,
commutes' := λ r, (algebra_map_eq_diagonal r).symm,
.. diagonal_ring_hom n α }
end algebra
end matrix
/-!
### Bundled versions of `matrix.map`
-/
namespace equiv
/-- The `equiv` between spaces of matrices induced by an `equiv` between their
coefficients. This is `matrix.map` as an `equiv`. -/
@[simps apply]
def map_matrix (f : α ≃ β) : matrix m n α ≃ matrix m n β :=
{ to_fun := λ M, M.map f,
inv_fun := λ M, M.map f.symm,
left_inv := λ M, matrix.ext $ λ _ _, f.symm_apply_apply _,
right_inv := λ M, matrix.ext $ λ _ _, f.apply_symm_apply _, }
@[simp] lemma map_matrix_refl : (equiv.refl α).map_matrix = equiv.refl (matrix m n α) :=
rfl
@[simp] lemma map_matrix_symm (f : α ≃ β) :
f.map_matrix.symm = (f.symm.map_matrix : matrix m n β ≃ _) :=
rfl
@[simp] lemma map_matrix_trans (f : α ≃ β) (g : β ≃ γ) :
f.map_matrix.trans g.map_matrix = ((f.trans g).map_matrix : matrix m n α ≃ _) :=
rfl
end equiv
namespace add_monoid_hom
variables [add_zero_class α] [add_zero_class β] [add_zero_class γ]
/-- The `add_monoid_hom` between spaces of matrices induced by an `add_monoid_hom` between their
coefficients. This is `matrix.map` as an `add_monoid_hom`. -/
@[simps]
def map_matrix (f : α →+ β) : matrix m n α →+ matrix m n β :=
{ to_fun := λ M, M.map f,
map_zero' := matrix.map_zero f f.map_zero,
map_add' := matrix.map_add f f.map_add }
@[simp] lemma map_matrix_id : (add_monoid_hom.id α).map_matrix = add_monoid_hom.id (matrix m n α) :=
rfl
@[simp] lemma map_matrix_comp (f : β →+ γ) (g : α →+ β) :
f.map_matrix.comp g.map_matrix = ((f.comp g).map_matrix : matrix m n α →+ _) :=
rfl
end add_monoid_hom
namespace add_equiv
variables [has_add α] [has_add β] [has_add γ]
/-- The `add_equiv` between spaces of matrices induced by an `add_equiv` between their
coefficients. This is `matrix.map` as an `add_equiv`. -/
@[simps apply]
def map_matrix (f : α ≃+ β) : matrix m n α ≃+ matrix m n β :=
{ to_fun := λ M, M.map f,
inv_fun := λ M, M.map f.symm,
map_add' := matrix.map_add f f.map_add,
.. f.to_equiv.map_matrix }
@[simp] lemma map_matrix_refl : (add_equiv.refl α).map_matrix = add_equiv.refl (matrix m n α) :=
rfl
@[simp] lemma map_matrix_symm (f : α ≃+ β) :
f.map_matrix.symm = (f.symm.map_matrix : matrix m n β ≃+ _) :=
rfl
@[simp] lemma map_matrix_trans (f : α ≃+ β) (g : β ≃+ γ) :
f.map_matrix.trans g.map_matrix = ((f.trans g).map_matrix : matrix m n α ≃+ _) :=
rfl
end add_equiv
namespace linear_map
variables [semiring R] [add_comm_monoid α] [add_comm_monoid β] [add_comm_monoid γ]
variables [module R α] [module R β] [module R γ]
/-- The `linear_map` between spaces of matrices induced by a `linear_map` between their
coefficients. This is `matrix.map` as a `linear_map`. -/
@[simps]
def map_matrix (f : α →ₗ[R] β) : matrix m n α →ₗ[R] matrix m n β :=
{ to_fun := λ M, M.map f,
map_add' := matrix.map_add f f.map_add,
map_smul' := λ r, matrix.map_smul f r (f.map_smul r), }
@[simp] lemma map_matrix_id : linear_map.id.map_matrix = (linear_map.id : matrix m n α →ₗ[R] _) :=
rfl
@[simp] lemma map_matrix_comp (f : β →ₗ[R] γ) (g : α →ₗ[R] β) :
f.map_matrix.comp g.map_matrix = ((f.comp g).map_matrix : matrix m n α →ₗ[R] _) :=
rfl
end linear_map
namespace linear_equiv
variables [semiring R] [add_comm_monoid α] [add_comm_monoid β] [add_comm_monoid γ]
variables [module R α] [module R β] [module R γ]
/-- The `linear_equiv` between spaces of matrices induced by an `linear_equiv` between their
coefficients. This is `matrix.map` as an `linear_equiv`. -/
@[simps apply]
def map_matrix (f : α ≃ₗ[R] β) : matrix m n α ≃ₗ[R] matrix m n β :=
{ to_fun := λ M, M.map f,
inv_fun := λ M, M.map f.symm,
.. f.to_equiv.map_matrix,
.. f.to_linear_map.map_matrix }
@[simp] lemma map_matrix_refl :
(linear_equiv.refl R α).map_matrix = linear_equiv.refl R (matrix m n α) :=
rfl
@[simp] lemma map_matrix_symm (f : α ≃ₗ[R] β) :
f.map_matrix.symm = (f.symm.map_matrix : matrix m n β ≃ₗ[R] _) :=
rfl
@[simp] lemma map_matrix_trans (f : α ≃ₗ[R] β) (g : β ≃ₗ[R] γ) :
f.map_matrix.trans g.map_matrix = ((f.trans g).map_matrix : matrix m n α ≃ₗ[R] _) :=
rfl
end linear_equiv
namespace ring_hom
variables [fintype m] [decidable_eq m]
variables [non_assoc_semiring α] [non_assoc_semiring β] [non_assoc_semiring γ]
/-- The `ring_hom` between spaces of square matrices induced by a `ring_hom` between their
coefficients. This is `matrix.map` as a `ring_hom`. -/
@[simps]
def map_matrix (f : α →+* β) : matrix m m α →+* matrix m m β :=
{ to_fun := λ M, M.map f,
map_one' := by simp,
map_mul' := λ L M, matrix.map_mul,
.. f.to_add_monoid_hom.map_matrix }
@[simp] lemma map_matrix_id : (ring_hom.id α).map_matrix = ring_hom.id (matrix m m α) :=
rfl
@[simp] lemma map_matrix_comp (f : β →+* γ) (g : α →+* β) :
f.map_matrix.comp g.map_matrix = ((f.comp g).map_matrix : matrix m m α →+* _) :=
rfl
end ring_hom
namespace ring_equiv
variables [fintype m] [decidable_eq m]
variables [non_assoc_semiring α] [non_assoc_semiring β] [non_assoc_semiring γ]
/-- The `ring_equiv` between spaces of square matrices induced by a `ring_equiv` between their
coefficients. This is `matrix.map` as a `ring_equiv`. -/
@[simps apply]
def map_matrix (f : α ≃+* β) : matrix m m α ≃+* matrix m m β :=
{ to_fun := λ M, M.map f,
inv_fun := λ M, M.map f.symm,
.. f.to_ring_hom.map_matrix,
.. f.to_add_equiv.map_matrix }
@[simp] lemma map_matrix_refl :
(ring_equiv.refl α).map_matrix = ring_equiv.refl (matrix m m α) :=
rfl
@[simp] lemma map_matrix_symm (f : α ≃+* β) :
f.map_matrix.symm = (f.symm.map_matrix : matrix m m β ≃+* _) :=
rfl
@[simp] lemma map_matrix_trans (f : α ≃+* β) (g : β ≃+* γ) :
f.map_matrix.trans g.map_matrix = ((f.trans g).map_matrix : matrix m m α ≃+* _) :=
rfl
end ring_equiv
namespace alg_hom
variables [fintype m] [decidable_eq m]
variables [comm_semiring R] [semiring α] [semiring β] [semiring γ]
variables [algebra R α] [algebra R β] [algebra R γ]
/-- The `alg_hom` between spaces of square matrices induced by a `alg_hom` between their
coefficients. This is `matrix.map` as a `alg_hom`. -/
@[simps]
def map_matrix (f : α →ₐ[R] β) : matrix m m α →ₐ[R] matrix m m β :=
{ to_fun := λ M, M.map f,
commutes' := λ r, matrix.map_algebra_map r f f.map_zero (f.commutes r),
.. f.to_ring_hom.map_matrix }
@[simp] lemma map_matrix_id : (alg_hom.id R α).map_matrix = alg_hom.id R (matrix m m α) :=
rfl
@[simp] lemma map_matrix_comp (f : β →ₐ[R] γ) (g : α →ₐ[R] β) :
f.map_matrix.comp g.map_matrix = ((f.comp g).map_matrix : matrix m m α →ₐ[R] _) :=
rfl
end alg_hom
namespace alg_equiv
variables [fintype m] [decidable_eq m]
variables [comm_semiring R] [semiring α] [semiring β] [semiring γ]
variables [algebra R α] [algebra R β] [algebra R γ]
/-- The `alg_equiv` between spaces of square matrices induced by a `alg_equiv` between their
coefficients. This is `matrix.map` as a `alg_equiv`. -/
@[simps apply]
def map_matrix (f : α ≃ₐ[R] β) : matrix m m α ≃ₐ[R] matrix m m β :=
{ to_fun := λ M, M.map f,
inv_fun := λ M, M.map f.symm,
.. f.to_alg_hom.map_matrix,
.. f.to_ring_equiv.map_matrix }
@[simp] lemma map_matrix_refl :
alg_equiv.refl.map_matrix = (alg_equiv.refl : matrix m m α ≃ₐ[R] _) :=
rfl
@[simp] lemma map_matrix_symm (f : α ≃ₐ[R] β) :
f.map_matrix.symm = (f.symm.map_matrix : matrix m m β ≃ₐ[R] _) :=
rfl
@[simp] lemma map_matrix_trans (f : α ≃ₐ[R] β) (g : β ≃ₐ[R] γ) :
f.map_matrix.trans g.map_matrix = ((f.trans g).map_matrix : matrix m m α ≃ₐ[R] _) :=
rfl
end alg_equiv
open_locale matrix
namespace matrix
/-- For two vectors `w` and `v`, `vec_mul_vec w v i j` is defined to be `w i * v j`.
Put another way, `vec_mul_vec w v` is exactly `col w ⬝ row v`. -/
def vec_mul_vec [has_mul α] (w : m → α) (v : n → α) : matrix m n α
| x y := w x * v y
section non_unital_non_assoc_semiring
variables [non_unital_non_assoc_semiring α]
/-- `mul_vec M v` is the matrix-vector product of `M` and `v`, where `v` is seen as a column matrix.
Put another way, `mul_vec M v` is the vector whose entries
are those of `M ⬝ col v` (see `col_mul_vec`). -/
def mul_vec [fintype n] (M : matrix m n α) (v : n → α) : m → α
| i := dot_product (λ j, M i j) v
/-- `vec_mul v M` is the vector-matrix product of `v` and `M`, where `v` is seen as a row matrix.
Put another way, `vec_mul v M` is the vector whose entries
are those of `row v ⬝ M` (see `row_vec_mul`). -/
def vec_mul [fintype m] (v : m → α) (M : matrix m n α) : n → α
| j := dot_product v (λ i, M i j)
/-- Left multiplication by a matrix, as an `add_monoid_hom` from vectors to vectors. -/
@[simps] def mul_vec.add_monoid_hom_left [fintype n] (v : n → α) : matrix m n α →+ m → α :=
{ to_fun := λ M, mul_vec M v,
map_zero' := by ext; simp [mul_vec]; refl,
map_add' := λ x y, by { ext m, apply add_dot_product } }
lemma mul_vec_diagonal [fintype m] [decidable_eq m] (v w : m → α) (x : m) :
mul_vec (diagonal v) w x = v x * w x :=
diagonal_dot_product v w x
lemma vec_mul_diagonal [fintype m] [decidable_eq m] (v w : m → α) (x : m) :
vec_mul v (diagonal w) x = v x * w x :=
dot_product_diagonal' v w x
@[simp] lemma mul_vec_zero [fintype n] (A : matrix m n α) : mul_vec A 0 = 0 :=
by { ext, simp [mul_vec] }
@[simp] lemma zero_vec_mul [fintype m] (A : matrix m n α) : vec_mul 0 A = 0 :=
by { ext, simp [vec_mul] }
@[simp] lemma zero_mul_vec [fintype n] (v : n → α) : mul_vec (0 : matrix m n α) v = 0 :=
by { ext, simp [mul_vec] }
@[simp] lemma vec_mul_zero [fintype m] (v : m → α) : vec_mul v (0 : matrix m n α) = 0 :=
by { ext, simp [vec_mul] }
lemma vec_mul_vec_eq (w : m → α) (v : n → α) :
vec_mul_vec w v = (col w) ⬝ (row v) :=
by { ext i j, simp [vec_mul_vec, mul_apply], refl }
lemma smul_mul_vec_assoc [fintype n] [monoid R] [distrib_mul_action R α] [is_scalar_tower R α α]
(a : R) (A : matrix m n α) (b : n → α) :
(a • A).mul_vec b = a • (A.mul_vec b) :=
by { ext, apply smul_dot_product, }
lemma mul_vec_add [fintype n] (A : matrix m n α) (x y : n → α) :
A.mul_vec (x + y) = A.mul_vec x + A.mul_vec y :=
by { ext, apply dot_product_add }
lemma add_mul_vec [fintype n] (A B : matrix m n α) (x : n → α) :
(A + B).mul_vec x = A.mul_vec x + B.mul_vec x :=
by { ext, apply add_dot_product }
lemma vec_mul_add [fintype m] (A B : matrix m n α) (x : m → α) :
vec_mul x (A + B) = vec_mul x A + vec_mul x B :=
by { ext, apply dot_product_add }
lemma add_vec_mul [fintype m] (A : matrix m n α) (x y : m → α) :
vec_mul (x + y) A = vec_mul x A + vec_mul y A :=
by { ext, apply add_dot_product }
end non_unital_non_assoc_semiring
section non_unital_semiring
variables [non_unital_semiring α] [fintype n]
@[simp] lemma vec_mul_vec_mul [fintype m] (v : m → α) (M : matrix m n α) (N : matrix n o α) :
vec_mul (vec_mul v M) N = vec_mul v (M ⬝ N) :=
by { ext, apply dot_product_assoc }
@[simp] lemma mul_vec_mul_vec [fintype o] (v : o → α) (M : matrix m n α) (N : matrix n o α) :
mul_vec M (mul_vec N v) = mul_vec (M ⬝ N) v :=