OAI/MathematicalPhysics/DefocusingNLS/Linear/SobolevResidualStability.lean

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2 declarations, 0 contain sorry, 0 declared as axioms

Stability near an approximate physical Schrödinger trajectory

These estimates retain the actual Fourier generator and pointwise Sobolev nonlinearity. They apply on a fixed Sobolev ball; no uniform estimate for a rescaled growing torus is asserted here.

  1. theorem OAI.DefocusingNLS.exists_sobolevSchrodinger_residual_stability_constant line 19

    Source documentation

    A bounded residual gives a quantitative comparison with an exact physical solution.

    theorem exists_sobolevSchrodinger_residual_stability_constant
        (k : ℝ) (hk : 6 < k) (m : ℕ) (R : ℝ) (hR : 0 ≤ R) :
        ∃ K : ℝ≥0, ∀ (u q r : ℝ → FourierL2) (a' b' a b ε : ℝ),
          Icc a b ⊆ Ioo a' b' →
          ContinuousOn u (Ioo a' b') → ContinuousOn q (Ioo a' b') →
          ContinuousOn r (Ioo a' b') →
          (∀ t ∈ Ioo a' b', HasDerivAt (fun s => lowerSobolevInclusion (u s))
            (lowerSobolevGenerator (u t) -
              Complex.I • lowerSobolevInclusion (sobolevOddPower k hk m (u t))) t) →
          (∀ t ∈ Ioo a' b', HasDerivAt (fun s => lowerSobolevInclusion (q s))
            (lowerSobolevGenerator (q t) -
              Complex.I • lowerSobolevInclusion (sobolevOddPower k hk m (q t)) +
    …

    Mentions: OAI.DefocusingNLS.FourierL2, OAI.DefocusingNLS.lowerSobolevInclusion

  2. theorem OAI.DefocusingNLS.hasDerivAt_sobolevProfilePerturbation line 72

    Source documentation

    Subtracting an approximate profile gives the actual linearized equation plus its quadratic Taylor remainder and the negative profile residual.

    theorem hasDerivAt_sobolevProfilePerturbation
        (k : ℝ) (hk : 6 < k) (m : ℕ) (u q : ℝ → FourierL2) (r : FourierL2) (t : ℝ)
        (hu : HasDerivAt (fun s => lowerSobolevInclusion (u s))
          (lowerSobolevGenerator (u t) -
            Complex.I • lowerSobolevInclusion (sobolevOddPower k hk m (u t))) t)
        (hq : HasDerivAt (fun s => lowerSobolevInclusion (q s))
          (lowerSobolevGenerator (q t) -
            Complex.I • lowerSobolevInclusion (sobolevOddPower k hk m (q t)) +
              lowerSobolevInclusion r) t) :
        HasDerivAt (fun s => lowerSobolevInclusion (u s - q s))
          (lowerSobolevGenerator (u t - q t) -
            Complex.I • lowerSobolevInclusion
    …

    Mentions: OAI.DefocusingNLS.FourierL2, OAI.DefocusingNLS.lowerSobolevInclusion