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LeanPool.AnomalousDiffusion.AVenhance.Infra.Ergodic.FourierDecay

Fourier decay from averaged derivative bounds #

theorem AVenhance.Infra.Ergodic.smoothFourierCoeff_coordDerivIter {d : ℕ} (hd : 0 < d) (i : Fin d) (n : ℕ) {f : Homogenization.Vec d → ℂ} (hf : ContDiff ℝ (↑⊤) f) (hper : Torus.IsZdPeriodic f) (k : Fin d → ℤ) :

Factorial analytic bounds for positive-order coordinate derivatives in L¹.

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Instances For
    theorem AVenhance.Infra.Ergodic.smoothFourierCoeff_le_derivative_average {d : ℕ} (hd : 0 < d) (i : Fin d) (n : ℕ) {f : Homogenization.Vec d → ℂ} (hf : ContDiff ℝ (↑⊤) f) (hper : Torus.IsZdPeriodic f) (M : ℝ) (hM : ∫ (x : Homogenization.Vec d) in Torus.unitCell d, ‖coordDerivIter i n f x‖ ≤ M) (k : Fin d → ℤ) (hki : k i ≠ 0) :

    Repeatedly applying the coordinate Fourier multiplier bounds a Fourier coefficient by the averaged derivative of the same order.

    theorem AVenhance.Infra.Ergodic.factorial_fourier_decay_optimization_exists {x : ℝ} (hx : 1 ≤ x) :
    ∃ (n : ℕ), 0 < n ∧ ↑n.factorial / (2 * Real.pi * x) ^ n ≤ 512 * Real.exp (-x / 512)

    The factorial optimization used to pass from iterated derivative bounds to exponential decay; exported for Parseval tail estimates.

    theorem AVenhance.Infra.Ergodic.smoothFourierCoeff_expDecay_of_coordinateAnalyticL1Bounds {d : ℕ} (hd : 0 < d) {f : Homogenization.Vec d → ℂ} (hf : ContDiff ℝ (↑⊤) f) (hper : Torus.IsZdPeriodic f) (Cf r : ℝ) (hCf : 0 ≤ Cf) (_hr : 0 < r) (hderiv : HasCoordinateAnalyticL1Bounds f Cf r) (k : Fin d → ℤ) (hk : k ≠ 0) (hlarge : 1 ≤ r * ‖k‖) :

    Exponential decay of nonzero Fourier modes from averaged bounds on every positive-order repeated coordinate derivative. The lower-frequency condition is the one used in l.averages: r * ‖k‖ ≥ 1.