OAI/Probability/GammaPassage/MGFDerivative.lean

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3 declarations, 0 contain sorry, 0 declared as axioms

  1. lemma OAI.GammaFPP.exp_derivative_domination line 15
  2. theorem OAI.GammaFPP.hasDerivAt_integral_exp_zero line 35

    Source documentation

    A nonnegative measurable function with a positive exponential moment is integrable, and its moment-generating function has derivative equal to its mean at zero. Finiteness of the measure follows by domination.

    theorem hasDerivAt_integral_exp_zero {Ω : Type*} [MeasurableSpace Ω]
        {P : Measure Ω} {F : Ω → ℝ} (hF : Measurable F)
        (hpos : ∀ᵐ ω ∂P, 0 ≤ F ω) {c : ℝ} (hc : 0 < c)
        (hexp : Integrable (fun ω => exp (c*F ω)) P) :
        Integrable F P ∧
          HasDerivAt (fun t : ℝ => ∫ ω, exp (t*F ω) ∂P) (∫ ω, F ω ∂P) 0 := by
    …
  3. theorem OAI.GammaFPP.hasDerivAt_cgf_zero_of_nonneg_exp line 68

    Source documentation

    The probability cgf has derivative EF at zero, by the real log chain rule.

    theorem hasDerivAt_cgf_zero_of_nonneg_exp {Ω : Type*} [MeasurableSpace Ω]
        {P : Measure Ω} [IsProbabilityMeasure P] {F : Ω → ℝ}
        (hF : Measurable F) (hpos : ∀ᵐ ω ∂P, 0 ≤ F ω) {c : ℝ} (hc : 0 < c)
        (hexp : Integrable (fun ω => exp (c*F ω)) P) :
        HasDerivAt (cgf F P) (∫ ω, F ω ∂P) 0 := by
    …