-- Mathlib/Algebra/MvPolynomial/SchwartzZippel.lean
/-- The **Schwartz-Zippel lemma**

For a nonzero multivariable polynomial `p` over an integral domain, the probability that `p`
evaluates to zero at points drawn at random from a product of finite subsets `S i` of the integral
domain is bounded by the supremum of `∑ i, degᵢ s / #(S i)` ranging over monomials `s` of `p`. -/
lemma schwartz_zippel_sup_sum :
    ∀ {n} {p : MvPolynomial (Fin n) R} (hp : p ≠ 0) (S : Fin n → Finset R),
      #{x ∈ S ^^ n | eval x p = 0} / ∏ i, (#(S i) : ℚ≥0) ≤
        p.support.sup fun s ↦ ∑ i, (s i / #(S i) : ℚ≥0)
  | 0, p, hp, S => by
    -- Because `p` is a polynomial over zero variables, it is constant.
    rw [p.eq_C_of_isEmpty] at *
    simp [C_ne_zero.mp hp]
    -- Now, assume that the theorem holds for all polynomials in `n` variables.
  | n + 1, p, hp, S => by
    -- We can consider `p` to be a polynomial over multivariable polynomials in one fewer variables.
    set p' : Polynomial (MvPolynomial (Fin n) R) := finSuccEquiv R n p with hp'
    -- Since `p` is not identically zero, there is some `k` such that `pₖ` is not identically zero.
    -- WLOG `k` is the largest such.
    set k := p'.natDegree with hk
    set pₖ := p'.leadingCoeff with hpₖ
    have hp'₀ : p' ≠ 0 := EmbeddingLike.map_ne_zero_iff.2 hp
    have hpₖ₀ : pₖ ≠ 0

Proof state:
R : Type u_1
inst✝² : CommRing R
inst✝¹ : IsDomain R
inst✝ : DecidableEq R
n : ℕ
p : MvPolynomial (Fin (n + 1)) R
hp : p ≠ 0
S : Fin (n + 1) → Finset R
p' : Polynomial (MvPolynomial (Fin n) R) := (finSuccEquiv R n) p
hp' : p' = (finSuccEquiv R n) p
k : ℕ := p'.natDegree
hk : k = p'.natDegree
pₖ : MvPolynomial (Fin n) R := p'.leadingCoeff
hpₖ : pₖ = p'.leadingCoeff
hp'₀ : p' ≠ 0
hpₖ₀ : pₖ ≠ 0
⊢ #(filter (fun x => (eval x) p = 0 ∧ (eval (tail x)) pₖ ≠ 0) (piFinset fun i => S i)) =
    #(filter (fun x => (eval (tail x)) pₖ ≠ 0 ∧ (eval x) p = 0) (piFinset fun i => S i))

Tactic:
simp_rw [and_comm]

Result:
no goals

Proof state:
R : Type u_1
inst✝² : CommRing R
inst✝¹ : IsDomain R
inst✝ : DecidableEq R
p : MvPolynomial (Fin 0) R
hp : C (coeff 0 p) ≠ 0
S : Fin 0 → Finset R
⊢ ↑(#(filter (fun x => (eval x) (C (coeff 0 p)) = 0) (piFinset fun i => S i))) / ∏ i : Fin 0, ↑(#(S i)) ≤
    (C (coeff 0 p)).support.sup fun s => ∑ i : Fin 0, ↑(s i) / ↑(#(S i))

Tactic:
simp [C_ne_zero.mp hp]

Result:
no goals

Proof state:
R : Type u_1
inst✝² : CommRing R
inst✝¹ : IsDomain R
inst✝ : DecidableEq R
n : ℕ
p : MvPolynomial (Fin (n + 1)) R
hp : p ≠ 0
S : Fin (n + 1) → Finset R
p' : Polynomial (MvPolynomial (Fin n) R) := (finSuccEquiv R n) p
hp' : p' = (finSuccEquiv R n) p
k : ℕ := p'.natDegree
hk : k = p'.natDegree
pₖ : MvPolynomial (Fin n) R := p'.leadingCoeff
hpₖ : pₖ = p'.leadingCoeff
⊢ ↑(#(filter (fun x => (eval x) p = 0) (piFinset fun i => S i))) / ∏ i : Fin (n + 1), ↑(#(S i)) ≤
    p.support.sup fun s => ∑ i : Fin (n + 1), ↑(s i) / ↑(#(S i))

Tactic:
have hp'₀ : p' ≠ 0 := EmbeddingLike.map_ne_zero_iff.2 hp

Result:
R : Type u_1
inst✝² : CommRing R
inst✝¹ : IsDomain R
inst✝ : DecidableEq R
n : ℕ
p : MvPolynomial (Fin (n + 1)) R
hp : p ≠ 0
S : Fin (n + 1) → Finset R
p' : Polynomial (MvPolynomial (Fin n) R) := (finSuccEquiv R n) p
hp' : p' = (finSuccEquiv R n) p
k : ℕ := p'.natDegree
hk : k = p'.natDegree
pₖ : MvPolynomial (Fin n) R := p'.leadingCoeff
hpₖ : pₖ = p'.leadingCoeff
hp'₀ : p' ≠ 0
⊢ ↑(#(filter (fun x => (eval x) p = 0) (piFinset fun i => S i))) / ∏ i : Fin (n + 1), ↑(#(S i)) ≤
    p.support.sup fun s => ∑ i : Fin (n + 1), ↑(s i) / ↑(#(S i))

Proof state:
R : Type u_1
inst✝² : CommRing R
inst✝¹ : IsDomain R
inst✝ : DecidableEq R
n : ℕ
p : MvPolynomial (Fin (n + 1)) R
hp : p ≠ 0
S : Fin (n + 1) → Finset R
p' : Polynomial (MvPolynomial (Fin n) R) := (finSuccEquiv R n) p
hp' : p' = (finSuccEquiv R n) p
k : ℕ := p'.natDegree
hk : k = p'.natDegree
pₖ : MvPolynomial (Fin n) R := p'.leadingCoeff
hpₖ : pₖ = p'.leadingCoeff
hp'₀ : p' ≠ 0
hpₖ₀ : pₖ ≠ 0
⊢ ∑ xₜ ∈ filter (fun xₜ => (eval xₜ) pₖ ≠ 0) (piFinset fun i => tail S i),
      #(image (fun x₀ => (x₀, xₜ)) (filter (fun x₀ => (eval (Fin.cons x₀ xₜ)) p = 0) (S 0))) ≤
    ∑ xₜ ∈ filter (fun xₜ => (eval xₜ) pₖ ≠ 0) (piFinset fun i => tail S i),
      #(filter (fun x₀ => (eval (Fin.cons x₀ xₜ)) p = 0) (S 0))

Tactic:
gcongr

Result:
case h
R : Type u_1
inst✝² : CommRing R
inst✝¹ : IsDomain R
inst✝ : DecidableEq R
n : ℕ
p : MvPolynomial (Fin (n + 1)) R
hp : p ≠ 0
S : Fin (n + 1) → Finset R
p' : Polynomial (MvPolynomial (Fin n) R) := (finSuccEquiv R n) p
hp' : p' = (finSuccEquiv R n) p
k : ℕ := p'.natDegree
hk : k = p'.natDegree
pₖ : MvPolynomial (Fin n) R := p'.leadingCoeff
hpₖ : pₖ = p'.leadingCoeff
hp'₀ : p' ≠ 0
hpₖ₀ : pₖ ≠ 0
i✝ : Fin n → R
a✝ : i✝ ∈ filter (fun xₜ => (eval xₜ) pₖ ≠ 0) (piFinset fun i => tail S i)
⊢ #(image (fun x₀ => (x₀, i✝)) (filter (fun x₀ => (eval (Fin.cons x₀ i✝)) p = 0) (S 0))) ≤
    #(filter (fun x₀ => (eval (Fin.cons x₀ i✝)) p = 0) (S 0))

Proof state:
R : Type u_1
inst✝² : CommRing R
inst✝¹ : IsDomain R
inst✝ : DecidableEq R
n : ℕ
p : MvPolynomial (Fin (n + 1)) R
hp : p ≠ 0
S : Fin (n + 1) → Finset R
p' : Polynomial (MvPolynomial (Fin n) R) := (finSuccEquiv R n) p
hp' : p' = (finSuccEquiv R n) p
k : ℕ := p'.natDegree
hk : k = p'.natDegree
pₖ : MvPolynomial (Fin n) R := p'.leadingCoeff
hpₖ : pₖ = p'.leadingCoeff
hp'₀ : p' ≠ 0
hpₖ₀ : pₖ ≠ 0
xₜ : Fin n → R
hxₜ : xₜ ∈ filter (fun xₜ => (eval xₜ) pₖ ≠ 0) (piFinset fun i => tail S i)
pₓ : Polynomial R := Polynomial.map (eval xₜ) p'
hpₓ : pₓ = Polynomial.map (eval xₜ) p'
hpₓdeg : pₓ.natDegree = k
hpₓ₀ : pₓ ≠ 0
⊢ #(filter (fun x₀ => (eval (Fin.cons x₀ xₜ)) p = 0) (S 0)) ≤ #pₓ.roots.toFinset

Tactic:
gcongr

Result:
case a
R : Type u_1
inst✝² : CommRing R
inst✝¹ : IsDomain R
inst✝ : DecidableEq R
n : ℕ
p : MvPolynomial (Fin (n + 1)) R
hp : p ≠ 0
S : Fin (n + 1) → Finset R
p' : Polynomial (MvPolynomial (Fin n) R) := (finSuccEquiv R n) p
hp' : p' = (finSuccEquiv R n) p
k : ℕ := p'.natDegree
hk : k = p'.natDegree
pₖ : MvPolynomial (Fin n) R := p'.leadingCoeff
hpₖ : pₖ = p'.leadingCoeff
hp'₀ : p' ≠ 0
hpₖ₀ : pₖ ≠ 0
xₜ : Fin n → R
hxₜ : xₜ ∈ filter (fun xₜ => (eval xₜ) pₖ ≠ 0) (piFinset fun i => tail S i)
pₓ : Polynomial R := Polynomial.map (eval xₜ) p'
hpₓ : pₓ = Polynomial.map (eval xₜ) p'
hpₓdeg : pₓ.natDegree = k
hpₓ₀ : pₓ ≠ 0
⊢ filter (fun x₀ => (eval (Fin.cons x₀ xₜ)) p = 0) (S 0) ⊆ pₓ.roots.toFinset

Proof state:
R : Type u_1
inst✝² : CommRing R
inst✝¹ : IsDomain R
inst✝ : DecidableEq R
n : ℕ
p : MvPolynomial (Fin (n + 1)) R
hp : p ≠ 0
S : Fin (n + 1) → Finset R
p' : Polynomial (MvPolynomial (Fin n) R) := (finSuccEquiv R n) p
hp' : p' = (finSuccEquiv R n) p
k : ℕ := p'.natDegree
hk : k = p'.natDegree
pₖ : MvPolynomial (Fin n) R := p'.leadingCoeff
hpₖ : pₖ = p'.leadingCoeff
hp'₀ : p' ≠ 0
hpₖ₀ : pₖ ≠ 0
xₜ : Fin n → R
hxₜ : xₜ ∈ filter (fun xₜ => (eval xₜ) pₖ ≠ 0) (piFinset fun i => tail S i)
pₓ : Polynomial R := Polynomial.map (eval xₜ) p'
hpₓ : pₓ = Polynomial.map (eval xₜ) p'
hpₓdeg : pₓ.natDegree = k
hpₓ₀ : pₓ ≠ 0
this : Finsupp.cons k (ofLex (AddMonoidAlgebra.supDegree (⇑toLex) p'.leadingCoeff)) ∈ p.support
⊢ k ≤ degreeOf 0 p

Tactic:
simpa using monomial_le_degreeOf 0 this

Result:
no goals