OAI/NumberTheory/JointDickman/Probability/CoarseChannel.lean
4 declarations, 0 contain sorry, 0 declared as axioms
Coarse centering of a smooth mixture kernel
A bounded Lipschitz profile changes little inside each coarse cell. Its common-variable mixture is consequently close to a kernel depending only on the coarse indices. Combining this fact with a discarded row bound gives the finite coarse-channel estimate.
- def
OAI.JointDickman.smoothMixtureKernelline 19 - theorem
OAI.JointDickman.smoothMixtureKernel_oscillationline 25Source documentation
Oscillation of the genuine mixture follows from the Lipschitz profiles, rather than from an assumed kernel oscillation estimate.
theorem smoothMixtureKernel_oscillation {C A : Type*} [Fintype C] (w : C → ℝ) (f : C → ℝ → ℝ) (location : A → ℝ) (hw : ∀ c, 0 ≤ w c) (hw1 : ∑ c, w c = 1) {M mesh : ℝ} {L₀ : ℝ≥0} (hM : 0 ≤ M) (hmesh : 0 ≤ mesh) (hf : ∀ c x, |f c x| ≤ M) (hLip : ∀ c, LipschitzWith L₀ (f c)) (a a' b b' : A) (ha : |location a - location a'| ≤ mesh) (hb : |location b - location b'| ≤ mesh) : |smoothMixtureKernel w f location a b - smoothMixtureKernel w f location a' b'| ≤ 2 * M * (L₀ : ℝ) * mesh := by …Mentions: OAI.JointDickman.smoothMixtureKernel
- theorem
OAI.JointDickman.smoothMixtureKernel_coarse_errorline 79Source documentation
A chosen representative in each coarse fibre gives a genuinely coarse-only kernel, with the derived oscillation error.
theorem smoothMixtureKernel_coarse_error {C D R : Type*} [Fintype C] (w : C → ℝ) (f : C → ℝ → ℝ) (location : D × R → ℝ) (hw : ∀ c, 0 ≤ w c) (hw1 : ∑ c, w c = 1) {M mesh : ℝ} {L₀ : ℝ≥0} (hM : 0 ≤ M) (hmesh : 0 ≤ mesh) (hf : ∀ c x, |f c x| ≤ M) (hLip : ∀ c, LipschitzWith L₀ (f c)) (hdiam : ∀ d r s, |location (d, r) - location (d, s)| ≤ mesh) (r₀ : R) (d e : D) (r s : R) : |smoothMixtureKernel w f location (d, r) (e, s) - smoothMixtureKernel w f location (d, r₀) (e, r₀)| ≤ 2 * M * (L₀ : ℝ) * mesh := …Mentions: OAI.JointDickman.smoothMixtureKernel
- theorem
OAI.JointDickman.coarseChannel_square_boundline 94Source documentation
The finite coarse-channel estimate. The channel kernel is actually decomposed, and only its retained part is approximated by the displayed smooth mixture. Centering is in the fine index inside each coarse cell.
theorem coarseChannel_square_bound {Ω C D R : Type*} [Fintype Ω] [Fintype C] [Fintype D] [Fintype R] [Nonempty R] (wΩ : Ω → ℝ) (p : Ω → D × R → ℝ) (w : C → ℝ) (f : C → ℝ → ℝ) (location : D × R → ℝ) (discarded retained : D × R → D × R → ℝ) (hwΩ : ∀ x, 0 ≤ wΩ x) (hw : ∀ c, 0 ≤ w c) (hw1 : ∑ c, w c = 1) {m B ε M mesh : ℝ} {L₀ : ℝ≥0} (hm : 0 < m) (hB : 0 ≤ B) (hε : 0 ≤ ε) (hM : 0 ≤ M) (hmesh : 0 ≤ mesh) (hf : ∀ c x, |f c x| ≤ M) (hLip : ∀ c, LipschitzWith L₀ (f c)) (hdiam : ∀ d r s, |location (d, r) - location (d, s)| ≤ mesh) (hdiscarded : ∀ a b, 0 ≤ discarded a b) (hrows : ∀ a, (∑ b : D × R, m * discarded a b) ≤ B) …