OAI/GroupTheory/PolycyclicRecognition/Analysis/ProbeSourcePacking.lean

GitHub source file

3 declarations, 0 contain sorry, 0 declared as axioms

Separated source counts for the retained probe volume

  1. theorem OAI.PolycyclicRecognition.exists_fixedSlice_image_net_constant line 29

    Source documentation

    Positive probe volume supplies genuinely separated image endpoints. The constant is independent of the source sheet, its Cartan pivot, the normalized map and the point at which its image is centered.

    theorem exists_fixedSlice_image_net_constant
        {Λ : ℝ≥0} (hΛ : 0 < (Λ : ℝ)) :
        ∃ c : ℝ, 0 < c ∧ ∀ (p : NormalizedPair G Λ) (x a : G) (d : D)
          (S : Set N), IsCompact S →
          ∃ t : Finset G,
            (↑t : Set G) ⊆ (fun n => basedImage p.val.1 a (x * ι n * κ d)) '' S ∧
            (∀ u ∈ t, ∀ v ∈ t, u ≠ v → 1 ≤ dist u v) ∧
            c * (μ S).toReal ≤ (t.card : ℝ) := by
    …

    Mentions: OAI.PolycyclicRecognition.NormalizedPair, OAI.PolycyclicRecognition.basedImage

  2. theorem OAI.PolycyclicRecognition.exists_fixedSlice_probe_net_constant line 69

    Source documentation

    Apply the uniform fixed-slice count directly to a compact set retained from the original uniform probe distribution. Its probability loss becomes only a fixed multiplicative constant in the separated count.

    theorem exists_fixedSlice_probe_net_constant
        {P : Type*} [TopologicalSpace P] [MeasurableSpace P]
        (ν : Measure P) (e : P → N) (he : MeasurableEmbedding e) (hec : Continuous e)
        (hμ : μ = Measure.map e ν) {Λ : ℝ≥0} (hΛ : 0 < (Λ : ℝ)) :
        ∃ c : ℝ, 0 < c ∧ ∀ (p : NormalizedPair G Λ) (x a : G) (d : D)
          (A K : Set P) (hA0 : ν A ≠ 0) (hAt : ν A ≠ ⊤),
          IsCompact K → MeasurableSet K → K ⊆ A →
          ∀ q : ℝ, 0 ≤ q →
          ENNReal.ofReal q ≤ (cellProbabilityMeasure ν A hA0 hAt : Measure P) K →
          ∃ t : Finset G,
            (↑t : Set G) ⊆ (fun y => basedImage p.val.1 a (x * ι (e y) * κ d)) '' K ∧
            (∀ u ∈ t, ∀ v ∈ t, u ≠ v → 1 ≤ dist u v) ∧
    …

    Mentions: OAI.PolycyclicRecognition.NormalizedPair, OAI.PolycyclicRecognition.cellProbabilityMeasure, OAI.PolycyclicRecognition.basedImage

  3. theorem OAI.PolycyclicRecognition.exists_probe_source_count_sequence line 98

    Source documentation

    A quarter of the original probe cell yields the full source exponent, uniformly over a sequence of maps, centers and moving Cartan pivots.

    theorem exists_probe_source_count_sequence
        {P : Type*} [TopologicalSpace P] [MeasurableSpace P]
        (ν : Measure P) (e : ℕ → P → N)
        (he : ∀ n, MeasurableEmbedding (e n)) (hec : ∀ n, Continuous (e n))
        (hμ : ∀ n, μ = Measure.map (e n) ν)
        {Λ : ℝ≥0} (hΛ : 0 < (Λ : ℝ)) (p : ℕ → NormalizedPair G Λ)
        (x a : ℕ → G) (d : ℕ → D) (A K : ℕ → Set P)
        (hA0 : ∀ n, ν (A n) ≠ 0) (hAt : ∀ n, ν (A n) ≠ ⊤)
        (hK : ∀ n, IsCompact (K n)) (hKm : ∀ n, MeasurableSet (K n))
        (hKA : ∀ n, K n ⊆ A n)
        (hmass : ∀ n, ENNReal.ofReal (1 / 4 : ℝ) ≤
          (cellProbabilityMeasure ν (A n) (hA0 n) (hAt n) : Measure P) (K n))
    …

    Mentions: OAI.PolycyclicRecognition.NormalizedPair, OAI.PolycyclicRecognition.cellProbabilityMeasure