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The boundedness condition on a function Space d → F for it to form a distribution. -/ @[fun_prop] def IsDistBounded {d : ℕ} (f : Space d → F) : Prop := AEStronglyMeasurable (fun x => f x) volume ∧ ∃ n, ∃ c : Fin n → ℝ, ∃ g : Fin n → Space d, ∃ p : Fin n → ℤ, (∀ i, 0 ≤ c i) ∧ (∀ i, - (d - 1 : ℕ) ≤ p i) ∧ ∀ x, ‖f x‖ ≤ ∑ i, c i * ‖x + g i‖ ^ p i namespace...
Exact Lean statement
@[fun_prop]
lemma add {d : ℕ} {f g : Space d → F}
(hf : IsDistBounded f) (hg : IsDistBounded g) : IsDistBounded (f + g)Formal artifact
Lean source
@[fun_prop]lemma add {d : ℕ} {f g : Space d → F} (hf : IsDistBounded f) (hg : IsDistBounded g) : IsDistBounded (f + g) := by rcases hf with ⟨hae1, ⟨n1, c1, g1, p1, c1_nonneg, p1_bound, bound1⟩⟩ rcases hg with ⟨hae2, ⟨n2, c2, g2, p2, c2_nonneg, p2_bound, bound2⟩⟩ refine ⟨by fun_prop, n1 + n2, Fin.append c1 c2, Fin.append g1 g2, Fin.append p1 p2, ?_, ?_, ?_⟩ · intro i induction i using Fin.addCases with | left i => simpa using c1_nonneg i | right i => simpa using c2_nonneg i · intro i induction i using Fin.addCases with | left i => simpa using p1_bound i | right i => simpa using p2_bound i · intro x refine ((norm_add_le _ _).trans (add_le_add (bound1 x) (bound2 x))).trans_eq ?_ simp [Fin.sum_univ_add]- Project
- Physlib
- License
- Apache-2.0
- Commit
- dd43e9e65791
- Source
- Physlib/SpaceAndTime/Space/IsDistBounded.lean:507-523
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