/-- Let `E` be a TVS, `𝔖 : Set (Set α)` and `H` a submodule of `α →ᵤ[𝔖] E`. If the image of any
`S ∈ 𝔖` by any `u ∈ H` is bounded (in the sense of `Bornology.IsVonNBounded`), then `H`,
equipped with the topology of `𝔖`-convergence, is a TVS.

For convenience, we don't literally ask for `H : Submodule (α →ᵤ[𝔖] E)`. Instead, we prove the
result for any vector space `H` equipped with a linear inducing to `α →ᵤ[𝔖] E`, which is often
easier to use. We also state the `Submodule` version as
`UniformOnFun.continuousSMul_submodule_of_image_bounded`. -/
theorem UniformOnFun.continuousSMul_induced_of_image_bounded (h𝔖₁ : 𝔖.Nonempty)
    (h𝔖₂ : DirectedOn (· ⊆ ·) 𝔖) (φ : hom) (hφ : Inducing φ)
    (h : ∀ u : H, ∀ s ∈ 𝔖, Bornology.IsVonNBounded 𝕜 ((φ u : α → E) '' s)) :
    ContinuousSMul 𝕜 H := by
  have : TopologicalAddGroup H := by
    rw [hφ.induced]
    exact topologicalAddGroup_induced φ
  have : (𝓝 0 : Filter H).HasBasis _ _ := by
    rw [hφ.induced, nhds_induced, map_zero]
    exact (UniformOnFun.hasBasis_nhds_zero 𝔖 h𝔖₁ h𝔖₂).comap φ
  refine' ContinuousSMul.of_basis_zero this _ _ _
  · rintro ⟨S, V⟩ ⟨hS, hV⟩
    have : Tendsto (fun kx : 𝕜 × E => kx.1 • kx.2) (𝓝 (0, 0)) (𝓝 <| (0 : 𝕜) • (0 : E)) :=
      continuous_smul.tendsto (0 : 𝕜 × E)
    rw [zero_smul, nhds_prod_eq] at this
    have := this hV
    rw [mem_map, mem_prod_iff] at this
    rcases this with ⟨U, hU, W, hW, hUW⟩
    refine' ⟨U, hU, ⟨S, W⟩, ⟨hS, hW⟩, _⟩
    rw [Set.smul_subset_iff]
    intro a ha u hu x hx
    rw [map_smul]
    exact hUW (⟨ha, hu x hx⟩ : (a, φ u x) ∈ U ×ˢ W)
  · rintro a ⟨S, V⟩ ⟨hS, hV⟩
    have : Tendsto (fun x : E => a • x) (𝓝 0) (𝓝 <| a • (0 : E)) := tendsto_id.const_smul a
    rw [smul_zero] at this
    refine' ⟨⟨S, (a • ·) ⁻¹' V⟩, ⟨hS, this hV⟩, fun f hf x hx => _⟩
    rw [map_smul]
    exact hf x hx
  · rintro u ⟨S, V⟩ ⟨hS, hV⟩
    rcases h u S hS hV with ⟨r, hrpos, hr⟩
    rw [Metric.eventually_nhds_iff_ball]
    refine' ⟨r⁻¹, inv_pos.mpr hrpos, fun a ha x hx => _⟩
    by_cases ha0 : a = 0
    · rw [ha0]
      simpa using mem_of_mem_nhds hV
    · rw [mem_ball_zero_iff] at ha
      rw [map_smul, Pi.smul_apply]
      have : φ u x ∈ a⁻¹ • V := by
        have ha0 : 0 < ‖a‖ := norm_pos_iff.mpr ha0
        refine' (hr a⁻¹ _) (Set.mem_image_of_mem (φ u) hx)
        rw [norm_inv, le_inv hrpos ha0]
        

Proof state:
𝕜 : Type u_1
α : Type u_2
E : Type u_3
H : Type u_4
hom : Type u_5
inst✝⁹ : NormedField 𝕜
inst✝⁸ : AddCommGroup H
inst✝⁷ : Module 𝕜 H
inst✝⁶ : AddCommGroup E
inst✝⁵ : Module 𝕜 E
inst✝⁴ : TopologicalSpace H
inst✝³ : UniformSpace E
inst✝² : UniformAddGroup E
inst✝¹ : ContinuousSMul 𝕜 E
𝔖 : Set (Set α)
inst✝ : LinearMapClass hom 𝕜 H (α →ᵤ[𝔖] E)
h𝔖₁ : Set.Nonempty 𝔖
h𝔖₂ : DirectedOn (fun x x_1 => x ⊆ x_1) 𝔖
φ : hom
hφ : Inducing ⇑φ
h : ∀ (u : H), ∀ s ∈ 𝔖, Bornology.IsVonNBounded 𝕜 (φ u '' s)
this✝ : TopologicalAddGroup H
this : HasBasis (𝓝 0) (fun SV => SV.1 ∈ 𝔖 ∧ SV.2 ∈ 𝓝 0) fun i => ⇑φ ⁻¹' {f | ∀ x ∈ i.1, f x ∈ i.2}
u : H
S : Set α
V : Set E
hS : (S, V).1 ∈ 𝔖
hV : (S, V).2 ∈ 𝓝 0
r : ℝ
hrpos : 0 < r
hr : ∀ (a : 𝕜), r ≤ ‖a‖ → φ u '' S ⊆ a • (S, V).2
a : 𝕜
ha : ‖a‖ < r⁻¹
x : α
hx : x ∈ (S, V).1
ha0✝ : ¬a = 0
ha0 : 0 < ‖a‖
⊢ ‖a‖ ≤ r⁻¹

Next tactic:
exact ha.le