bounds, , for convolution with an -bounded Hörmander kernel on , uniform in the kernel
ProvedDbarRegularity.eLpNorm_integral_mul_sub_le_of_hormander_of_lt_twoharmonic-analysislp-spacessingular-integrals
Let , and . There is a constant , depending only on , with the following property. Let be complex valued, and suppose that
- satisfies the Hörmander condition with constant :
- convolution with is bounded on with norm at most : for every .
Then for every ,
This is the range of the theory of singular convolution operators, with a constant uniform over all kernels satisfying the two bounds.
Formalization Note. is EuclideanSpace ℝ (Fin d) with Lebesgue measure volume, is 0 < d, and is in ℝ≥0∞. The constants are in ℝ≥0. The Hörmander condition is the lower integral ∫⁻ x in {x | 2 * ‖y‖ ≤ ‖x‖}, ‖K (x - y) - K x‖ₑ ≤ B₁. Norms are eLpNorm. is the Bochner integral ∫ y, K (x - y) * f y (set to where not integrable). The quantifiers are ordered .
Preamble
import Definitions.Def_DbarRegularity_Setting import Mathlib.MeasureTheory.Function.LpSeminorm.Basic import Mathlib.MeasureTheory.Integral.Bochner.Basic import Mathlib.Analysis.InnerProductSpace.PiL2
Formal statement
namespace DbarRegularity
open MeasureTheory Set
open scoped ENNReal NNReal
/-- `L^p` bound, `1 < p < 2`, for convolution with an `L²` kernel `K` on `ℝ^d` that satisfies the
Hörmander condition with constant `B₁` and is bounded on `L²` with norm `B₂`; the constant
depends only on `d`, `p`, `B₁`, `B₂`. -/
theorem eLpNorm_integral_mul_sub_le_of_hormander_of_lt_two {d : ℕ} (hd : 0 < d) (p : ℝ≥0∞)
(hp : 1 < p) (hp2 : p < 2) (B₁ B₂ : ℝ≥0) :
∃ A : ℝ≥0, ∀ K : EuclideanSpace ℝ (Fin d) → ℂ, MemLp K 2 volume →
(∀ y, y ≠ 0 → ∫⁻ x in {x | 2 * ‖y‖ ≤ ‖x‖}, ‖K (x - y) - K x‖ₑ ≤ B₁) →
(∀ g, MemLp g 2 volume →
eLpNorm (fun x => ∫ y, K (x - y) * g y) 2 volume ≤ B₂ * eLpNorm g 2 volume) →
∀ f, MemLp f p volume →
eLpNorm (fun x => ∫ y, K (x - y) * f y) p volume ≤ A * eLpNorm f p volume := by sorry
end DbarRegularity
Source
E. M. Stein, Singular Integrals and Differentiability Properties of Functions, Princeton University Press (1970), Chapter II, § 2.2, Theorem 1, pp. 29–31