-- Module: Mathlib.RingTheory.GradedAlgebra.Radical
Goal:
ι : Type u_1
σ : Type u_2
A : Type u_3
inst : CommRing A
inst_1 : AddCommMonoid ι
inst_2 : LinearOrder ι
inst_3 : IsOrderedCancelAddMonoid ι
inst_4 : SetLike σ A
inst_5 : AddSubmonoidClass σ A
𝒜 : ι → σ
inst_6 : GradedRing 𝒜
I : Ideal A
hI : IsHomogeneous 𝒜 I
I_ne_top : I ≠ ⊤
homogeneous_mem_or_mem : ∀ {x y : A}, IsHomogeneousElem 𝒜 x → IsHomogeneousElem 𝒜 y → x * y ∈ I → x ∈ I ∨ y ∈ I
x y : A
rid₁ : x ∉ I
rid₂ : y ∉ I
set₁ : Finset ι :=
  {i ∈ DFinsupp.support (β := fun (i : ι) ↦ ↥(𝒜 i)) ((decompose 𝒜 : (a : A) → ⨁ (i : ι), ↥(𝒜 i)) x) |
    ((proj 𝒜 i : (a : A) → A) x : A) ∉ I}
set₁_eq :
  set₁ =
    {i ∈ DFinsupp.support (β := fun (i : ι) ↦ ↥(𝒜 i)) ((decompose 𝒜 : (a : A) → ⨁ (i : ι), ↥(𝒜 i)) x) |
      ((proj 𝒜 i : (a : A) → A) x : A) ∉ I}
set₂ : Finset ι :=
  {i ∈ DFinsupp.support (β := fun (i : ι) ↦ ↥(𝒜 i)) ((decompose 𝒜 : (a : A) → ⨁ (i : ι), ↥(𝒜 i)) y) |
    ((proj 𝒜 i : (a : A) → A) y : A) ∉ I}
set₂_eq :
  set₂ =
    {i ∈ DFinsupp.support (β := fun (i : ι) ↦ ↥(𝒜 i)) ((decompose 𝒜 : (a : A) → ⨁ (i : ι), ↥(𝒜 i)) y) |
      ((proj 𝒜 i : (a : A) → A) y : A) ∉ I}
nonempty :
  ∀ x ∉ I,
    Finset.Nonempty.{u_1} (α := ι)
      ({i ∈ DFinsupp.support (β := fun (i : ι) ↦ ↥(𝒜 i)) ((decompose 𝒜 : (a : A) → ⨁ (i : ι), ↥(𝒜 i)) x) |
        ((proj 𝒜 i : (a : A) → A) x : A) ∉ I})
max₁ : ι := set₁.max' ⋯
max₂ : ι := set₂.max' ⋯
mem_max₁ : max₁ ∈ set₁
mem_max₂ : max₂ ∈ set₂
hxy : Membership.mem (α := A) I ((proj 𝒜 (max₁ + max₂) : (a : A) → A) (x * y) : A)
⊢ HMul.hMul (α := A) (β := A) ((proj 𝒜 max₁ : (a : A) → A) x : A) ((proj 𝒜 max₂ : (a : A) → A) y : A) ∈ I

Tactic:
have mem_I : proj 𝒜 max₁ x * proj 𝒜 max₂ y ∈ I := by
        set antidiag :=
          {z ∈ (decompose 𝒜 x).support ×ˢ (decompose 𝒜 y).support | z.1 + z.2 = max₁ + max₂}
           with ha
        have mem_antidiag : (max₁, max₂) ∈ antidiag := by
          simp only [antidiag, mem_filter, mem_product]
          exact ⟨⟨mem_of_mem_filter _ mem_max₁, mem_of_mem_filter _ mem_max₂⟩, trivial⟩
        have eq_add_sum :=
          calc
            proj 𝒜 (max₁ + max₂) (x * y) = ∑ ij ∈ antidiag, proj 𝒜 ij.1 x * proj 𝒜 ij.2 y := by
              simp_rw [ha, proj_apply, DirectSum.decompose_mul, DirectSum.coe_mul_apply 𝒜]
            _ =
                proj 𝒜 max₁ x * proj 𝒜 max₂ y +
                  ∑ ij ∈ antidiag.erase (max₁, max₂), proj 𝒜 ij.1 x * proj 𝒜 ij.2 y :=
              (add_sum_erase _ _ mem_antidiag).symm
        rw [eq_sub_of_add_eq eq_add_sum.symm]
        refine Ideal.sub_mem _ hxy (Ideal.sum_mem _ fun z H => ?_)
        rcases z with ⟨i, j⟩
        simp only [antidiag, mem_erase, Prod.mk_inj, Ne, mem_filter, mem_product] at H
        rcases H with ⟨H₁, ⟨H₂, H₃⟩, H₄⟩
        have max_lt : max₁ < i ∨ max₂ < j := by
          convert! le_or_lt_of_add_le_add H₄.ge using 1
          rw [Ne.le_iff_lt]
          rintro rfl
          cases H₁ ⟨rfl, add_left_cancel H₄⟩
        rcases max_lt with max_lt | max_lt
        · -- in this case `max₁ < i`, then `xᵢ ∈ I`; for otherwise `i ∈ set₁` then `i ≤ max₁`.
          have notMem : i ∉ set₁ := fun h =>
            lt_irrefl _ ((max'_lt_iff set₁ (nonempty x rid₁)).mp max_lt i h)
          rw [set₁_eq] at notMem
          simp only [not_and, Classical.not_not, mem_filter] at notMem
          exact Ideal.mul_mem_right _ I (notMem H₂)
        · -- in this case `max₂ < j`, then `yⱼ ∈ I`; for otherwise `j ∈ set₂`, then `j ≤ max₂`.
          have notMem : j ∉ set₂ := fun h =>
            lt_irrefl _ ((max'_lt_iff set₂ (nonempty y rid₂)).mp max_lt j h)
          rw [set₂_eq] at notMem
          simp only [not_and, Classical.not_not, mem_filter] at notMem
          exact Ideal.mul_mem_left I _ (notMem H₃)