Documentation

LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.Regularity.MinimalScaleShift

MinimalScaleShift #

Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.

t.regularity Step 1/Step 2: the parameter names, the + k + 3 shift, and the #

tail arithmetic #

Contents #

References #

The Step-1 parameters #

The Step-1 scale parameter s := 1/4 of e.parameter.choices.regularity.

Equations
Instances For

    The minimal-scale argument s/8 of e.def.X.m.alpha, i.e. the first argument of Z_m(s/8, δ).

    Equations
    Instances For

      The Step-1 tolerance δ := C₁⁻¹(1-α) of e.parameter.choices.regularity. C₁ is the abstract Step-1 constant.

      Equations
      Instances For

        s/8 ∈ (0, 1/4]: the s-window of p.minimal.scale.separation.sec4.

        theorem Algsuperdiff.Section4.Provider.Regularity.stepOneDelta_mem {C1 alpha : ℝ} (hC1 : 2 ≤ C1) (halpha0 : 0 < alpha) (halpha1 : alpha < 1) :
        stepOneDelta C1 alpha ∈ Set.Ioc 0 (1 / 2)

        δ ∈ (0, 1/2]: the δ-window of p.minimal.scale.separation.sec4, at the pin C₁ ≥ 2.

        The + k + 3 shift #

        def Algsuperdiff.Section4.Provider.Regularity.minimalScaleX {Omega : Type u_1} (Z : Omega → ℕ∞) (k : ℕ) :
        Omega → ℕ∞

        e.def.X.m.alpha: the Step-2 minimal scale X_m(α) := Z_m(s/8, δ) + k + 3, as a function of an arbitrary ℕ∞-valued minimal scale Z and the abstract Step-1 constant k.

        Equations
        Instances For
          theorem Algsuperdiff.Section4.Provider.Regularity.minimalScaleX_eq_add_cast {Omega : Type u_1} (Z : Omega → ℕ∞) (k : ℕ) (omega : Omega) :
          minimalScaleX Z k omega = Z omega + ↑(k + 3)

          X_m(α) = Z_m + (k+3) with the offset collected into a single natural cast.

          theorem Algsuperdiff.Section4.Provider.Regularity.le_minimalScaleX {Omega : Type u_1} (Z : Omega → ℕ∞) (k : ℕ) (omega : Omega) :
          Z omega ≤ minimalScaleX Z k omega

          Z_m ≤ X_m(α) pointwise. This is what transports a good-scales clause gated by Z_m ≤ m - n to the same clause gated by X_m(α) ≤ m - n.

          Measurability of X_m(α) is inherited from Z_m: ℕ∞ is a discrete measurable space, so post-composition with · + k + 3 is measurable.

          theorem Algsuperdiff.Section4.Provider.Regularity.tail_minimalScaleX_subset {Omega : Type u_1} (Z : Omega → ℕ∞) (k N : ℕ) :
          {omega : Omega | ↑N ≤ minimalScaleX Z k omega} ⊆ {omega : Omega | ↑(N - (k + 3)) ≤ Z omega}

          The + k + 3 index shift on tail events: {N ≤ X_m(α)} ⊆ {N - (k+3) ≤ Z_m}.

          The abstract-real tail arithmetic #

          All three lemmas are stated for opaque reals. Real.exp is used only through Real.exp_le_exp; the rest is monotonicity of multiplication and division.

          theorem Algsuperdiff.Section4.Provider.Regularity.exp_tail_dom {Cm Co A B : ℝ} (hCm : 0 < Cm) (hCmCo : Cm ≤ Co) (hBA : B ≤ A) :
          Cm * Real.exp (-A) ≤ Co * Real.exp (-B)

          Prefactor-and-rate domination for exponential tails: a larger prefactor and a smaller rate weaken the bound.

          theorem Algsuperdiff.Section4.Provider.Regularity.rate_dom {a g s cs C1 Cm Co t v : ℝ} (hg : 0 < g) (hCm : 0 < Cm) (hCo : 0 < Co) (ht : 0 ≤ t) (hvt : v ≤ t) (hkey : Cm ≤ s ^ 9 * cs ^ 2 * C1⁻¹ ^ 2 * Co) :
          a ^ 2 * v / (Co * g) ≤ t * s ^ 9 * cs ^ 2 * (C1⁻¹ * a) ^ 2 / (Cm * g)

          With a := 1 - α, v := N - C, t := N - k - 4, Cm the p.minimal.scale.separation.sec4 constant and Co the produced one, the anchor's rate a²·v/(Co·g) is dominated by the producer's rate t·s⁹·cs²·(C₁⁻¹a)²/(Cm·g) as soon as Cm ≤ s⁹ cs² C₁⁻² Co.

          theorem Algsuperdiff.Section4.Provider.Regularity.gate_of_sq_le {a g s cs C1 Cm Co : ℝ} (hg : 0 < g) (hs : 0 ≤ s) (hsq : Co ^ 2 * g ≤ a ^ 2) (hkey : 1 ≤ Cm⁻¹ ^ 10 * (C1⁻¹ ^ 2 * cs ^ 2 * s ^ 9) * Co ^ 2) :
          g ≤ Cm⁻¹ ^ 10 * ((C1⁻¹ * a) ^ 2 * cs ^ 2 * s ^ 9)

          The γ-gate of p.minimal.scale.separation.sec4 at the Step-1 parameters. From the theorem's own hypothesis α ≤ 1 - C γ^{1/2} in the squared form Co² g ≤ a² (with a:= 1 - α), together with a size condition on Co, the second branch of the producer's min is met at δ = C₁⁻¹(1-α).

          theorem Algsuperdiff.Section4.Provider.Regularity.one_le_shifted_exp {a g x Co : ℝ} (hCo : 1 ≤ Co) (hg : 0 < g) (hx : x ≤ Co) :
          1 ≤ Co * Real.exp (-(a ^ 2 * (x - Co)) / (Co * g))

          The small-N branch of the shifted tail: when N ≤ C, the printed right-hand side is at least 1, so the trivial probability bound already gives the estimate.