Linear combinations

We use this data structure while processing hypotheses.

structure Lean.Omega.LinearCombo : Type

Internal representation of a linear combination of atoms, and a constant term.

• const : Int

  Constant term.

• coeffs : Lean.Omega.Coeffs

  Coefficients of the atoms.

instance Lean.Omega.instDecidableEqLinearCombo : DecidableEq Lean.Omega.LinearCombo

Equations

• Lean.Omega.instDecidableEqLinearCombo = Lean.Omega.decEqLinearCombo✝

instance Lean.Omega.instReprLinearCombo : Repr Lean.Omega.LinearCombo

Equations

• Lean.Omega.instReprLinearCombo = { reprPrec := Lean.Omega.reprLinearCombo✝ }

instance Lean.Omega.LinearCombo.instToString : ToString Lean.Omega.LinearCombo

Equations

• One or more equations did not get rendered due to their size.

instance Lean.Omega.LinearCombo.instInhabited : Inhabited Lean.Omega.LinearCombo

theorem Lean.Omega.LinearCombo.ext {a b : Lean.Omega.LinearCombo} (w₁ : a.const = b.const) (w₂ : a.coeffs = b.coeffs) : a = b

def Lean.Omega.LinearCombo.isAtom (a : Lean.Omega.LinearCombo) : Bool

Check if a linear combination is an atom, i.e. the constant term is zero and there is exactly one nonzero coefficient, which is one.

def Lean.Omega.LinearCombo.eval (lc : Lean.Omega.LinearCombo) (values : Lean.Omega.Coeffs) : Int

Evaluate a linear combination ⟨r, [c_1, …, c_k]⟩ at values [v_1, …, v_k] to obtain r + (c_1 * x_1 + (c_2 * x_2 + ... (c_k * x_k + 0)))).

Equations

• lc.eval values = lc.const + lc.coeffs.dot values

@[simp]

theorem Lean.Omega.LinearCombo.eval_nil {lc : Lean.Omega.LinearCombo} : lc.eval [] = lc.const

def Lean.Omega.LinearCombo.coordinate (i : Nat) : Lean.Omega.LinearCombo

The i-th coordinate function.

Equations

• Lean.Omega.LinearCombo.coordinate i = { const := 0, coeffs := Lean.Omega.Coeffs.set [] i 1 }

@[simp]

theorem Lean.Omega.LinearCombo.coordinate_eval (i : Nat) (v : Lean.Omega.Coeffs) : (Lean.Omega.LinearCombo.coordinate i).eval v = v.get i

theorem Lean.Omega.LinearCombo.coordinate_eval_0 {a0 : Int} {t : List Int} : (Lean.Omega.LinearCombo.coordinate 0).eval (Lean.Omega.Coeffs.ofList (a0 :: t)) = a0

theorem Lean.Omega.LinearCombo.coordinate_eval_1 {a0 a1 : Int} {t : List Int} : (Lean.Omega.LinearCombo.coordinate 1).eval (Lean.Omega.Coeffs.ofList (a0 :: a1 :: t)) = a1

theorem Lean.Omega.LinearCombo.coordinate_eval_2 {a0 a1 a2 : Int} {t : List Int} : (Lean.Omega.LinearCombo.coordinate 2).eval (Lean.Omega.Coeffs.ofList (a0 :: a1 :: a2 :: t)) = a2

theorem Lean.Omega.LinearCombo.coordinate_eval_3 {a0 a1 a2 a3 : Int} {t : List Int} : (Lean.Omega.LinearCombo.coordinate 3).eval (Lean.Omega.Coeffs.ofList (a0 :: a1 :: a2 :: a3 :: t)) = a3

theorem Lean.Omega.LinearCombo.coordinate_eval_4 {a0 a1 a2 a3 a4 : Int} {t : List Int} : (Lean.Omega.LinearCombo.coordinate 4).eval (Lean.Omega.Coeffs.ofList (a0 :: a1 :: a2 :: a3 :: a4 :: t)) = a4

theorem Lean.Omega.LinearCombo.coordinate_eval_5 {a0 a1 a2 a3 a4 a5 : Int} {t : List Int} : (Lean.Omega.LinearCombo.coordinate 5).eval (Lean.Omega.Coeffs.ofList (a0 :: a1 :: a2 :: a3 :: a4 :: a5 :: t)) = a5

theorem Lean.Omega.LinearCombo.coordinate_eval_6 {a0 a1 a2 a3 a4 a5 a6 : Int} {t : List Int} : (Lean.Omega.LinearCombo.coordinate 6).eval (Lean.Omega.Coeffs.ofList (a0 :: a1 :: a2 :: a3 :: a4 :: a5 :: a6 :: t)) = a6

theorem Lean.Omega.LinearCombo.coordinate_eval_7 {a0 a1 a2 a3 a4 a5 a6 a7 : Int} {t : List Int} : (Lean.Omega.LinearCombo.coordinate 7).eval (Lean.Omega.Coeffs.ofList (a0 :: a1 :: a2 :: a3 :: a4 :: a5 :: a6 :: a7 :: t)) = a7

theorem Lean.Omega.LinearCombo.coordinate_eval_8 {a0 a1 a2 a3 a4 a5 a6 a7 a8 : Int} {t : List Int} : (Lean.Omega.LinearCombo.coordinate 8).eval (Lean.Omega.Coeffs.ofList (a0 :: a1 :: a2 :: a3 :: a4 :: a5 :: a6 :: a7 :: a8 :: t)) = a8

theorem Lean.Omega.LinearCombo.coordinate_eval_9 {a0 a1 a2 a3 a4 a5 a6 a7 a8 a9 : Int} {t : List Int} : (Lean.Omega.LinearCombo.coordinate 9).eval (Lean.Omega.Coeffs.ofList (a0 :: a1 :: a2 :: a3 :: a4 :: a5 :: a6 :: a7 :: a8 :: a9 :: t)) = a9

def Lean.Omega.LinearCombo.add (l₁ l₂ : Lean.Omega.LinearCombo) : Lean.Omega.LinearCombo

Implementation of addition on LinearCombo.

instance Lean.Omega.LinearCombo.instAdd : Add Lean.Omega.LinearCombo

Equations

• Lean.Omega.LinearCombo.instAdd = { add := Lean.Omega.LinearCombo.add }

@[simp]

theorem Lean.Omega.LinearCombo.add_const {l₁ l₂ : Lean.Omega.LinearCombo} : (l₁ + l₂).const = l₁.const + l₂.const

@[simp]

theorem Lean.Omega.LinearCombo.add_coeffs {l₁ l₂ : Lean.Omega.LinearCombo} : (l₁ + l₂).coeffs = l₁.coeffs + l₂.coeffs

def Lean.Omega.LinearCombo.sub (l₁ l₂ : Lean.Omega.LinearCombo) : Lean.Omega.LinearCombo

Implementation of subtraction on LinearCombo.

Equations

• l₁.sub l₂ = { const := l₁.const - l₂.const, coeffs := l₁.coeffs - l₂.coeffs }

instance Lean.Omega.LinearCombo.instSub : Sub Lean.Omega.LinearCombo

@[simp]

theorem Lean.Omega.LinearCombo.sub_const {l₁ l₂ : Lean.Omega.LinearCombo} : (l₁ - l₂).const = l₁.const - l₂.const

@[simp]

theorem Lean.Omega.LinearCombo.sub_coeffs {l₁ l₂ : Lean.Omega.LinearCombo} : (l₁ - l₂).coeffs = l₁.coeffs - l₂.coeffs

def Lean.Omega.LinearCombo.neg (lc : Lean.Omega.LinearCombo) : Lean.Omega.LinearCombo

Implementation of negation on LinearCombo.

instance Lean.Omega.LinearCombo.instNeg : Neg Lean.Omega.LinearCombo

@[simp]

theorem Lean.Omega.LinearCombo.neg_const {l : Lean.Omega.LinearCombo} : (-l).const = -l.const

@[simp]

theorem Lean.Omega.LinearCombo.neg_coeffs {l : Lean.Omega.LinearCombo} : (-l).coeffs = -l.coeffs

theorem Lean.Omega.LinearCombo.sub_eq_add_neg (l₁ l₂ : Lean.Omega.LinearCombo) : l₁ - l₂ = l₁ + -l₂

def Lean.Omega.LinearCombo.smul (lc : Lean.Omega.LinearCombo) (i : Int) : Lean.Omega.LinearCombo

Implementation of scalar multiplication of a LinearCombo by an Int.

instance Lean.Omega.LinearCombo.instHMulInt : HMul Int Lean.Omega.LinearCombo Lean.Omega.LinearCombo

Equations

• Lean.Omega.LinearCombo.instHMulInt = { hMul := fun (i : Int) (lc : Lean.Omega.LinearCombo) => lc.smul i }

@[simp]

theorem Lean.Omega.LinearCombo.smul_const {lc : Lean.Omega.LinearCombo} {i : Int} : (i * lc).const = i * lc.const

@[simp]

theorem Lean.Omega.LinearCombo.smul_coeffs {lc : Lean.Omega.LinearCombo} {i : Int} : (i * lc).coeffs = i * lc.coeffs

@[simp]

theorem Lean.Omega.LinearCombo.add_eval (l₁ l₂ : Lean.Omega.LinearCombo) (v : Lean.Omega.Coeffs) : (l₁ + l₂).eval v = l₁.eval v + l₂.eval v

@[simp]

theorem Lean.Omega.LinearCombo.neg_eval (lc : Lean.Omega.LinearCombo) (v : Lean.Omega.Coeffs) : (-lc).eval v = -lc.eval v

@[simp]

theorem Lean.Omega.LinearCombo.sub_eval (l₁ l₂ : Lean.Omega.LinearCombo) (v : Lean.Omega.Coeffs) : (l₁ - l₂).eval v = l₁.eval v - l₂.eval v

@[simp]

theorem Lean.Omega.LinearCombo.smul_eval (lc : Lean.Omega.LinearCombo) (i : Int) (v : Lean.Omega.Coeffs) : (i * lc).eval v = i * lc.eval v

theorem Lean.Omega.LinearCombo.smul_eval_comm (lc : Lean.Omega.LinearCombo) (i : Int) (v : Lean.Omega.Coeffs) : (i * lc).eval v = lc.eval v * i

def Lean.Omega.LinearCombo.mul (l₁ l₂ : Lean.Omega.LinearCombo) : Lean.Omega.LinearCombo

Multiplication of two linear combinations. This is useful only if at least one of the linear combinations is constant, and otherwise should be considered as a junk value.

Equations

• l₁.mul l₂ = l₂.const * l₁ + l₁.const * l₂ - { const := l₁.const * l₂.const, coeffs := [] }

theorem Lean.Omega.LinearCombo.mul_eval_of_const_left (l₁ l₂ : Lean.Omega.LinearCombo) (v : Lean.Omega.Coeffs) (w : l₁.coeffs.isZero) : (l₁.mul l₂).eval v = l₁.eval v * l₂.eval v

theorem Lean.Omega.LinearCombo.mul_eval_of_const_right (l₁ l₂ : Lean.Omega.LinearCombo) (v : Lean.Omega.Coeffs) (w : l₂.coeffs.isZero) : (l₁.mul l₂).eval v = l₁.eval v * l₂.eval v

theorem Lean.Omega.LinearCombo.mul_eval (l₁ l₂ : Lean.Omega.LinearCombo) (v : Lean.Omega.Coeffs) (w : l₁.coeffs.isZero ∨ l₂.coeffs.isZero) : (l₁.mul l₂).eval v = l₁.eval v * l₂.eval v