Documentation

LeanPool.AnomalousDiffusion.AVenhance.Infra.FullTheorem.NoSelection.FlipFacts

Consequences of the flip-flop at a fixed level #

For the two chains topped at ½ ε_M^p and 2 ε_M^p and a level 1 ≤ m ≤ M-1, with ε_m small: both diffusivities are ≍ ε_m^{β+γ} (explicit constants ffk0, ffK0) and their ratio is within [3,5] in one order or the other.

Bound for |log (t √(80/9))| over t ∈ {1/2, 2}.

Equations
Instances For

    Lower constant: κ ≥ ffk0 · ε^{β+γ}.

    Equations
    Instances For

      Upper constant: κ ≤ ffK0 · ε^{β+γ}.

      Equations
      Instances For
        theorem AVenhance.Infra.FullTheorem.NoSel.log_t_le (t : ℝ) (ht : t = 1 / 2 ∨ t = 2) :
        |Real.log (t * √(80 / 9))| ≤ ffB
        theorem AVenhance.Infra.FullTheorem.NoSel.kappa_facts (β C₀ : ℝ) :
        ∃ (Λ₁ : ℝ) (ρ : ℝ) (Cff : ℝ), 0 < ρ ∧ 0 ≤ Cff ∧ ∀ (I : Ingredients β), I.Czeta ≤ C₀ → I.Cxi ≤ C₀ → I.Chat ≤ C₀ → Λ₁ ≤ ↑I.Λ → ∀ (M : ℕ), 2 ≤ M → ∀ (m : ℕ), 1 ≤ m → m ≤ M - 1 → Cff * epsilon β I.Λ m ^ ρ ≤ Real.log (5 / 4) / 2 → 0 < I.kappaSeq (1 / 2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m → 0 < I.kappaSeq (2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m → (ffk0 * epsilon β I.Λ m ^ (β + gamma β) ≤ I.kappaSeq (1 / 2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ∧ I.kappaSeq (1 / 2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ≤ ffK0 * epsilon β I.Λ m ^ (β + gamma β)) ∧ (ffk0 * epsilon β I.Λ m ^ (β + gamma β) ≤ I.kappaSeq (2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ∧ I.kappaSeq (2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ≤ ffK0 * epsilon β I.Λ m ^ (β + gamma β)) ∧ (3 * I.kappaSeq (1 / 2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ≤ I.kappaSeq (2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ∧ I.kappaSeq (2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ≤ 5 * I.kappaSeq (1 / 2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ∨ 3 * I.kappaSeq (2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ≤ I.kappaSeq (1 / 2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ∧ I.kappaSeq (1 / 2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m ≤ 5 * I.kappaSeq (2 * epsilon β I.Λ M ^ (2 * β / (q β + 1))) M m)

        Constants and level facts of the two chains.