OAI/Probability/InvariantIsing/Spectral/SpectralContinuity.lean

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A quantitative estimate at zero for the finite spectral transform.

  1. theorem OAI.InvariantIsing.finiteR_sub_mean line 17

    Source documentation

    An exact remainder identity for the finite inverse resolvent.

    theorem finiteR_sub_mean (ρ eig : ι → ℝ) (hρ : ∀ a, 0 < ρ a)
        (hρsum : ∑ a, ρ a = 1) {x : ℝ} (hx : 0 < x) :
        finiteR ρ eig hρ hρsum x - ∑ a, ρ a * eig a =
          ∑ a, ρ a * (finiteR ρ eig hρ hρsum x - eig a) ^ 2 /
            (finiteInverse ρ eig hρ hρsum x - eig a) := by
    …

    Mentions: OAI.InvariantIsing.finiteR, OAI.InvariantIsing.finiteInverse

  2. theorem OAI.InvariantIsing.mean_le_finiteR line 44
  3. theorem OAI.InvariantIsing.finiteR_sub_mean_le line 54

    Source documentation

    The uniform O(K²x) estimate from manuscript gen:R-at-zero.

    theorem finiteR_sub_mean_le (ρ eig : ι → ℝ) (hρ : ∀ a, 0 < ρ a)
        (hρsum : ∑ a, ρ a = 1) {K x : ℝ} (_hK : 0 ≤ K)
        (heig : ∀ a, |eig a| ≤ K) (hx : 0 < x) (hsmall : 4 * K * x ≤ 1) :
        finiteR ρ eig hρ hρsum x - ∑ a, ρ a * eig a ≤ 8 * K ^ 2 * x := by
    …

    Mentions: OAI.InvariantIsing.finiteR

  4. theorem OAI.InvariantIsing.continuousAt_finiteR_zero line 96