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import data.int.basic
import ring_theory.principal_ideal_domain
import tactic
@[ext] structure gaussint := (re : ℤ) (im : ℤ)
namespace gaussint
instance : has_zero gaussint := ⟨⟨0, 0⟩⟩
instance : has_one gaussint := ⟨⟨1, 0⟩⟩
instance : has_add gaussint := ⟨λ x y, ⟨x.re + y.re, x.im + y.im⟩⟩
instance : has_neg gaussint := ⟨λ x, ⟨-x.re, -x.im⟩⟩
instance : has_mul gaussint :=
⟨λ x y, ⟨x.re * y.re - x.im * y.im, x.re * y.im + x.im * y.re⟩⟩
theorem zero_def : (0 : gaussint) = ⟨0, 0⟩ := rfl
theorem one_def : (1 : gaussint) = ⟨1, 0⟩ := rfl
theorem add_def (x y : gaussint) : x + y = ⟨x.re + y.re, x.im + y.im⟩ := rfl
theorem neg_def (x : gaussint) : -x = ⟨-x.re, -x.im⟩ := rfl
theorem mul_def (x y : gaussint) :
x * y = ⟨x.re * y.re - x.im * y.im, x.re * y.im + x.im * y.re⟩ := rfl
@[simp] theorem zero_re : (0 : gaussint).re = 0 := rfl
@[simp] theorem zero_im : (0 : gaussint).im = 0 := rfl
@[simp] theorem one_re : (1 : gaussint).re = 1 := rfl
@[simp] theorem one_im : (1 : gaussint).im = 0 := rfl
@[simp] theorem add_re (x y : gaussint) : (x + y).re = x.re + y.re := rfl
@[simp] theorem add_im (x y : gaussint) : (x + y).im = x.im + y.im := rfl
@[simp] theorem neg_re (x : gaussint) : (-x).re = - x.re := rfl
@[simp] theorem neg_im (x : gaussint) : (-x).im = - x.im := rfl
@[simp] theorem mul_re (x y : gaussint) : (x * y).re = x.re * y.re - x.im * y.im := rfl
@[simp] theorem mul_im (x y : gaussint) : (x * y).im = x.re * y.im + x.im * y.re := rfl
instance : comm_ring gaussint :=
{ zero := 0,
one := 1,
add := (+),
neg := λ x, -x,
mul := (*),
add_assoc := by { intros, ext; simp; ring },
zero_add := by { intros, ext; simp },
add_zero := by { intros, ext; simp },
add_left_neg := by { intros, ext; simp },
add_comm := by { intros, ext; simp; ring },
mul_assoc := by { intros, ext; simp; ring },
one_mul := by { intros, ext; simp },
mul_one := by { intros, ext; simp },
left_distrib := by { intros, ext; simp; ring },
right_distrib := by { intros, ext; simp; ring },
mul_comm := by { intros, ext; simp; ring } }
instance : nontrivial gaussint :=
by { use [0, 1], rw [ne, gaussint.ext_iff], simp }
end gaussint
example (a b : ℤ) : a = b * (a / b) + a % b := eq.symm $ int.div_add_mod a b
example (a b : ℤ) : b ≠ 0 → 0 ≤ a % b := int.mod_nonneg a
example (a b : ℤ) : b ≠ 0 → a % b < abs b := int.mod_lt a
namespace int
def div' (a b : ℤ) := (a + b / 2) / b
def mod' (a b : ℤ) := (a + b / 2) % b - b / 2
theorem div'_add_mod' (a b : ℤ) : b * div' a b + mod' a b = a :=
begin
rw [div', mod'],
linarith [int.div_add_mod (a + b / 2) b],
end
theorem abs_mod'_le (a b : ℤ) (h : 0 < b): abs (mod' a b) ≤ b / 2 :=
begin
rw [mod', abs_le],
split,
{ linarith [int.mod_nonneg (a + b / 2) h.ne'] },
have := int.mod_lt_of_pos (a + b / 2) h,
have := int.div_add_mod b 2,
have := int.mod_lt_of_pos b zero_lt_two,
linarith
end
theorem mod'_eq (a b : ℤ) : mod' a b = a - b * div' a b :=
by linarith [div'_add_mod' a b]
end int
theorem sq_add_sq_eq_zero {α : Type*} [linear_ordered_ring α] (x y : α) :
x^2 + y^2 = 0 ↔ x = 0 ∧ y = 0 :=
sorry
namespace gaussint
def norm (x : gaussint) := x.re^2 + x.im^2
@[simp] theorem norm_nonneg (x : gaussint) : 0 ≤ norm x :=
sorry
theorem norm_eq_zero (x : gaussint) : norm x = 0 ↔ x = 0 :=
sorry
theorem norm_pos (x : gaussint) : 0 < norm x ↔ x ≠ 0 :=
sorry
theorem norm_mul (x y : gaussint) : norm (x * y) = norm x * norm y :=
sorry
def conj (x : gaussint) : gaussint := ⟨x.re, -x.im⟩
@[simp] theorem conj_re (x : gaussint) : (conj x).re = x.re := rfl
@[simp] theorem conj_im (x : gaussint) : (conj x).im = - x.im := rfl
theorem norm_conj (x : gaussint) : norm (conj x) = norm x :=
by { simp [norm] }
instance : has_div gaussint :=
⟨λ x y, ⟨int.div' (x * conj y).re (norm y), int.div' (x * conj y).im (norm y)⟩⟩
instance : has_mod gaussint := ⟨λ x y, x - y * (x / y)⟩
theorem div_def (x y : gaussint) :
x / y = ⟨int.div' (x * conj y).re (norm y), int.div' (x * conj y).im (norm y)⟩ := rfl
theorem mod_def (x y : gaussint) : x % y = x - y * (x / y) := rfl
lemma norm_mod_lt (x : gaussint) {y : gaussint} (hy : y ≠ 0) : (x % y).norm < y.norm :=
begin
have norm_y_pos : 0 < norm y,
by rwa [norm_pos],
have : (x % y) * conj y =
⟨int.mod' (x * conj y).re (norm y), int.mod' (x * conj y).im (norm y)⟩,
{ rw [mod_def, sub_mul, int.mod'_eq, int.mod'_eq, sub_eq_add_neg, norm, div_def],
ext; simp; ring },
have : norm (x % y) * norm y ≤ (norm y / 2) * norm y,
{ conv { to_lhs, rw [←norm_conj y, ←norm_mul, this, norm] },
simp,
transitivity 2 * (y.norm / 2)^2,
{ rw [two_mul],
apply add_le_add;
{ rw [sq_le_sq],
apply le_trans (int.abs_mod'_le _ _ norm_y_pos),
apply le_abs_self } },
rw [pow_two, ←mul_assoc, mul_comm, mul_comm (2 : ℤ)],
apply mul_le_mul_of_nonneg_left _ _,
{ apply int.div_mul_le, norm_num },
apply int.div_nonneg (norm_nonneg y), norm_num },
have : norm (x % y) ≤ norm y / 2 := le_of_mul_le_mul_right this norm_y_pos,
apply lt_of_le_of_lt this,
apply int.div_lt_of_lt_mul, { norm_num },
linarith
end
lemma coe_nat_abs_norm (x : gaussint) : (x.norm.nat_abs : ℤ) = x.norm :=
int.nat_abs_of_nonneg (norm_nonneg _)
lemma nat_abs_norm_mod_lt (x y : gaussint) (hy : y ≠ 0) :
(x % y).norm.nat_abs < y.norm.nat_abs :=
begin
apply int.coe_nat_lt.1, simp,
exact int.nat_abs_lt_nat_abs_of_nonneg_of_lt (norm_nonneg _) (norm_mod_lt x hy)
end
lemma not_norm_mul_left_lt_norm (x : gaussint) {y : gaussint} (hy : y ≠ 0) :
¬ (norm (x * y)).nat_abs < (norm x).nat_abs :=
begin
apply not_lt_of_ge,
rw [norm_mul, int.nat_abs_mul],
apply le_mul_of_one_le_right (nat.zero_le _),
apply int.coe_nat_le.1,
rw [coe_nat_abs_norm],
exact int.add_one_le_of_lt ((norm_pos _).mpr hy)
end
instance : euclidean_domain gaussint :=
{ quotient := (/),
remainder := (%),
quotient_mul_add_remainder_eq :=
λ x y, by {rw [mod_def, add_comm, sub_add_cancel] },
quotient_zero := λ x, by { simp [div_def, norm, int.div'], refl },
r := measure (int.nat_abs ∘ norm),
r_well_founded := measure_wf (int.nat_abs ∘ norm),
remainder_lt := nat_abs_norm_mod_lt,
mul_left_not_lt := not_norm_mul_left_lt_norm,
.. gaussint.comm_ring }
example (x : gaussint) : irreducible x ↔ prime x :=
principal_ideal_ring.irreducible_iff_prime
end gaussint