/-- If `f` is multilinear, then `f (Σ_{j₁ ∈ A₁} g₁ j₁, ..., Σ_{jₙ ∈ Aₙ} gₙ jₙ)` is the sum of
`f (g₁ (r 1), ..., gₙ (r n))` where `r` ranges over all functions with `r 1 ∈ A₁`, ...,
`r n ∈ Aₙ`. This follows from multilinearity by expanding successively with respect to each
coordinate. Here, we give an auxiliary statement tailored for an inductive proof. Use instead
`map_sum_finset`. -/
theorem map_sum_finset_aux [DecidableEq ι] [Fintype ι] {n : ℕ} (h : (∑ i, (A i).card) = n) :
    (f fun i => ∑ j in A i, g i j) = ∑ r in piFinset A, f fun i => g i (r i) := by
  letI := fun i => Classical.decEq (α i)
  induction' n using Nat.strong_induction_on with n IH generalizing A
  -- If one of the sets is empty, then all the sums are zero
  by_cases Ai_empty : ∃ i, A i = ∅
  · rcases Ai_empty with ⟨i, hi⟩
    have : ∑ j in A i, g i j = 0 := by rw [hi, Finset.sum_empty]
    rw [f.map_coord_zero i this]
    have : piFinset A = ∅ := by
      refine Finset.eq_empty_of_forall_not_mem fun r hr => ?_
      have : r i ∈ A i := mem_piFinset.mp hr i
      simp [hi] at this
    rw [this, Finset.sum_empty]
  push_neg at Ai_empty
  -- Otherwise, if all sets are at most singletons, then they are exactly singletons and the result
  -- is again straightforward
  by_cases Ai_singleton : ∀ i, (A i).card ≤ 1
  · have Ai_card : ∀ i, (A i).card = 1 := by
      intro i
      have pos : Finset.card (A i) ≠ 0 := by simp [Finset.card_eq_zero, Ai_empty i]
      have : Finset.card (A i) ≤ 1 := Ai_singleton i
      exact le_antisymm this (Nat.succ_le_of_lt (_root_.pos_iff_ne_zero.mpr pos))
    have :
      ∀ r : ∀ i, α i, r ∈ piFinset A → (f fun i => g i (r i)) = f fun i => ∑ j in A i, g i j := by
      intro r hr
      congr with i
      have : ∀ j ∈ A i, g i j = g i (r i) := by
        intro j hj
        congr
        apply Finset.card_le_one_iff.1 (Ai_singleton i) hj
        exact mem_piFinset.mp hr i
      simp only [Finset.sum_congr rfl this, Finset.mem_univ, Finset.sum_const, Ai_card i, one_nsmul]
    simp only [Finset.sum_congr rfl this, Ai_card, card_piFinset, prod_const_one, one_nsmul,
      Finset.sum_const]
  -- Remains the interesting case where one of the `A i`, say `A i₀`, has cardinality at least 2.
  -- We will split into two parts `B i₀` and `C i₀` of smaller cardinality, let `B i = C i = A i`
  -- for `i ≠ i₀`, apply the inductive assumption to `B` and `C`, and add up the corresponding
  -- parts to get the sum for `A`.
  push_neg at Ai_singleton
  

Proof state:
case neg
R : Type uR
S : Type uS
ι : Type uι
n✝ : ℕ
M : Fin (Nat.succ n✝) → Type v
M₁ : ι → Type v₁
M₂ : Type v₂
M₃ : Type v₃
M' : Type v'
inst✝¹² : Semiring R
inst✝¹¹ : (i : Fin (Nat.succ n✝)) → AddCommMonoid (M i)
inst✝¹⁰ : (i : ι) → AddCommMonoid (M₁ i)
inst✝⁹ : AddCommMonoid M₂
inst✝⁸ : AddCommMonoid M₃
inst✝⁷ : AddCommMonoid M'
inst✝⁶ : (i : Fin (Nat.succ n✝)) → Module R (M i)
inst✝⁵ : (i : ι) → Module R (M₁ i)
inst✝⁴ : Module R M₂
inst✝³ : Module R M₃
inst✝² : Module R M'
f f' : MultilinearMap R M₁ M₂
α : ι → Type u_1
g : (i : ι) → α i → M₁ i
inst✝¹ : DecidableEq ι
inst✝ : Fintype ι
this : (i : ι) → DecidableEq (α i) := fun i => Classical.decEq (α i)
n : ℕ
IH :
  ∀ m < n,
    ∀ (A : (i : ι) → Finset (α i)),
      ∑ i : ι, Finset.card (A i) = m → (f fun i => ∑ j in A i, g i j) = ∑ r in piFinset A, f fun i => g i (r i)
A : (i : ι) → Finset (α i)
h : ∑ i : ι, Finset.card (A i) = n
Ai_empty : ∀ (i : ι), A i ≠ ∅
Ai_singleton : ∃ i, 1 < Finset.card (A i)
⊢ (f fun i => ∑ j in A i, g i j) = ∑ r in piFinset A, f fun i => g i (r i)

Next tactic:
obtain ⟨i₀, hi₀⟩ : ∃ i, 1 < (A i).card := Ai_singleton