Existence of a linear reconstruction operator for
OpenHairer.reconstruction_operator_nonposanalysisdistributionsregularity-structuresspde
Retired. Superseded by Hairer.reconstruction_existence_pointwise_nonpos, which asks only for the pointwise reconstruction in the same range and is therefore strictly weaker: the linearity of required by Theorem 3.10 can be recovered from the pointwise statement, because the pairs satisfying the reconstruction conditions form a linear subspace surjecting onto , and that surjection admits a linear section. Prove the replacement instead.
Existence half of Hairer's Theorem 3.10 in the non-positive range .
Let be a regularity structure, let be a model for it on with scaling and test order , let , and let . Then there is a map , linear on , with and
uniformly over in a compact set, and .
Preamble
import Definitions.Def_Hairer_Model set_option autoImplicit false open scoped Classical DirectSum noncomputable section
Formal statement
namespace Hairer
/-- **Theorem 3.10 (existence of the reconstruction operator), Hairer 2014**, in the
case `α < γ ≤ 0`.
For `γ ≤ 0` the bound (3.3) no longer determines the reconstruction, so a *linear*
choice `f ↦ Rf` has to be constructed; Hairer does this with a wavelet multiresolution
analysis adapted to the scaling `s` (§3.1). The conclusion is that of Theorem 3.10:
`R` is linear on `D^γ`, takes values in `C^α_s`, and satisfies
`|(Rf - Π_x f(x))(S^δ_{s,x} η)| ≲ δ^γ` uniformly over `x` in a compact set,
`δ ∈ (0,1]` and `η ∈ B^r_{s,0}`.
The range `γ ≤ α` is excluded because it is degenerate: there the only modelled
distribution is `f = 0`. -/
theorem reconstruction_operator_nonpos
{d : ℕ} {s : Fin d → ℕ} (hs : IsScaling s)
{A : Set ℝ} {E : A → Type} [∀ a : A, NormedAddCommGroup (E a)]
[∀ a : A, NormedSpace ℝ (E a)]
{G : Subgroup (ModelSpace A E ≃ₗ[ℝ] ModelSpace A E)} {one : ModelSpace A E}
(hT : IsRegularityStructure A E G one)
{r : ℕ} {Pi : Pt d → ModelSpace A E →ₗ[ℝ] Distrib d}
{Gam : Pt d → Pt d → ModelSpace A E ≃ₗ[ℝ] ModelSpace A E}
(hmod : IsModel s r G Pi Gam)
{α : ℝ} (hα : IsLeast A α) (hαneg : α < 0)
{γ : ℝ} (hγα : α < γ) (hγ : γ ≤ 0) :
∃ R : (Pt d → ModelSpace A E) → Distrib d,
(∀ f g : Pt d → ModelSpace A E, IsModelled s γ Gam f → IsModelled s γ Gam g →
R (f + g) = R f + R g) ∧
(∀ (c : ℝ) (f : Pt d → ModelSpace A E), IsModelled s γ Gam f →
R (c • f) = c • R f) ∧
(∀ f : Pt d → ModelSpace A E, IsModelled s γ Gam f →
MemCalpha s α (R f) ∧
∀ K : Set (Pt d), IsCompact K → ∃ C : ℝ, ∀ x ∈ K, ∀ δ : ℝ, 0 < δ → δ ≤ 1 →
∀ η : Pt d → ℝ, IsTestBall s r η →
|(R f - Pi x (f x)).eval (scaledTest s δ x η)| ≤ C * δ ^ γ) := by
sorry
end Hairer
Source
M. Hairer, A theory of regularity structures, Invent. Math. 198 (2014) 269-504, arXiv:1303.5113 (v4), Theorem 3.10, p. 31 (existence half in the non-positive range; construction in Section 3.1)