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Uniform decomposition of a test function into rescaled test functions Ss,xδηS^\delta_{s,x}\etaSs,xδ​η

Proved
Hairer.testFunction_decomposition_scaledTest

by Lucas · Sep 19, 2026 · Mathlib 0df444a (Lean v4.33.1)

analysisdistributionsregularity-structuresspde

A uniform anisotropic partition of unity at scale δ\deltaδ.

Fix a scaling s=(s1,…,sd)s=(s_1,\dots,s_d)s=(s1​,…,sd​) with si≥1s_i\ge 1si​≥1, an order r∈Nr\in\mathbb Nr∈N, and a test function φ∈C0∞(Rd)\varphi\in C^\infty_0(\mathbb R^d)φ∈C0∞​(Rd). Then there are a compact set K⊆RdK\subseteq\mathbb R^dK⊆Rd and a constant MMM, depending only on φ\varphiφ, sss and rrr, with the following property. For every δ∈(0,1]\delta\in(0,1]δ∈(0,1] there exist finitely many points x1,…,xn∈Kx_1,\dots,x_n\in Kx1​,…,xn​∈K, reals c1,…,cnc_1,\dots,c_nc1​,…,cn​ and functions η1,…,ηn∈Bs,0r\eta_1,\dots,\eta_n\in\mathcal B^r_{s,0}η1​,…,ηn​∈Bs,0r​ such that

φ  =  ∑i=1nci Ss,xiδηi,∑i=1n∣ci∣  ≤  M.\varphi \;=\; \sum_{i=1}^{n} c_i\, S^{\delta}_{s,x_i}\eta_i , \qquad \sum_{i=1}^{n} |c_i| \;\le\; M .φ=i=1∑n​ci​Ss,xi​δ​ηi​,i=1∑n​∣ci​∣≤M.

Here Bs,0r\mathcal B^r_{s,0}Bs,0r​ is Hairer's class of test functions supported in the unit ball of the scaled quasi-norm ∥⋅∥s\|\cdot\|_s∥⋅∥s​ whose derivatives up to order rrr are bounded by 111, and (Ss,xδη)(y)=δ−∣s∣η((yi−xi)/δsi)i(S^\delta_{s,x}\eta)(y)=\delta^{-|s|}\eta\big((y_i-x_i)/\delta^{s_i}\big)_i(Ss,xδ​η)(y)=δ−∣s∣η((yi​−xi​)/δsi​)i​.

The decomposition is obtained from a smooth partition of unity subordinate to the anisotropic boxes ∏i[xi−δsi,xi+δsi]\prod_i [x_i-\delta^{s_i},x_i+\delta^{s_i}]∏i​[xi​−δsi​,xi​+δsi​] centred at the points of the lattice ∏iδsiZ\prod_i \delta^{s_i}\mathbb Z∏i​δsi​Z that meet the support of φ\varphiφ. There are O(δ−∣s∣)O(\delta^{-|s|})O(δ−∣s∣) such boxes, while each piece φψi\varphi\psi_iφψi​, rescaled to the unit box, has CrC^rCr norm O(1)O(1)O(1) because every derivative taken in the rescaled variable carries a factor δsj≤1\delta^{s_j}\le 1δsj​≤1; hence each coefficient is O(δ∣s∣)O(\delta^{|s|})O(δ∣s∣) and the total mass ∑i∣ci∣\sum_i |c_i|∑i​∣ci​∣ stays bounded as δ→0\delta\to 0δ→0.

The statement is the exact quantitative input needed for the uniqueness clause of Hairer's Theorem 3.10: a distribution that is O(δγ)O(\delta^{\gamma})O(δγ) with γ>0\gamma>0γ>0 on all rescaled test functions Ss,xδηS^\delta_{s,x}\etaSs,xδ​η, uniformly over compact sets, annihilates every test function. Because a distribution here is a plain linear functional on C0∞C^\infty_0C0∞​, with no continuity assumed, the decomposition must be an exact finite linear combination rather than an approximation.

Preamble
import Definitions.Def_Hairer_TestFunctions

set_option autoImplicit false

open scoped Classical

noncomputable section
Formal statement
namespace Hairer

/-- **Anisotropic partition of unity at scale `δ`.**

Every smooth compactly supported test function `φ` on `ℝ^d` can be written, at every
scale `δ ∈ (0,1]`, as a *finite* linear combination
`φ = ∑ᵢ cᵢ · S^δ_{s,xᵢ} ηᵢ`
of rescaled test functions `ηᵢ ∈ B^r_{s,0}` centred at points `xᵢ` of one fixed compact
set, with `∑ᵢ |cᵢ| ≤ M` for a constant `M` depending only on `φ`, `s` and `r`, but not
on `δ`.

The number of terms grows like `δ^{-|s|}` while each coefficient is of size `δ^{|s|}`,
which is exactly what makes the total mass `∑ᵢ|cᵢ|` bounded uniformly in `δ`. -/
theorem testFunction_decomposition_scaledTest
    {d : ℕ} {s : Fin d → ℕ} (hs : IsScaling s) (r : ℕ)
    {φ : Pt d → ℝ} (hφ : φ ∈ testFunctions d) :
    ∃ (K : Set (Pt d)) (M : ℝ), IsCompact K ∧
      ∀ δ : ℝ, 0 < δ → δ ≤ 1 →
        ∃ (n : ℕ) (x : Fin n → Pt d) (c : Fin n → ℝ) (η : Fin n → (Pt d → ℝ)),
          (∀ i, x i ∈ K) ∧ (∀ i, IsTestBall s r (η i)) ∧
          (∑ i, |c i|) ≤ M ∧
          ∀ y : Pt d, φ y = ∑ i, c i * scaledTest s δ (x i) (η i) y := by
  sorry

end Hairer
Source
Auxiliary lemma for M. Hairer, A theory of regularity structures, Invent. Math. 198 (2014) 269-504, arXiv:1303.5113 (v4), proof of Theorem 3.10 (uniqueness clause), pp. 32-33; it replaces the mollification argument used there, which presupposes continuity of the distribution, by an exact finite partition-of-unity decomposition valid for arbitrary linear functionals on test functions.

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