Markov bound for a negative Lévy endpoint under the actual finite-time Esscher law
ProvedAvramDividend.Classical.chat04_esscher_finite_negative_endpoint_markov_boundchernoff-boundesscherlevy-processesruin-probability
For θ≥ε≥0, time t and level b, the finite Esscher probability of the event exp(−εX_t)≥exp(εb), multiplied by exp(εb), is at most exp(t[ψ(θ−ε)−ψ(θ)]). This is the exact exponential Chernoff bound, in ENNReal form, for a downward endpoint excursion under the truly constructed finite Esscher law.
Preamble
import Mathlib.MeasureTheory.Integral.Lebesgue.Markov import Mathlib.Probability.Process.Adapted import Mathlib.Analysis.Complex.Exponential import Theorems.Thm_AvramDividend_Classical_chat04_esscher_finite_negative_laplace_lintegral_exact open MeasureTheory Set open scoped NNReal ENNReal open AvramDividend.Classical
Formal statement
theorem AvramDividend.Classical.chat04_esscher_finite_negative_endpoint_markov_bound
{Ω : Type*} [mΩ : MeasurableSpace Ω] {P : Measure Ω}
{𝓕 : Filtration ℝ≥0 mΩ}
(X : SpectrallyNegativeLevy P 𝓕)
(t : ℝ≥0) (θ ε b : ℝ)
(hθ : 0 ≤ θ) (hε : 0 ≤ ε) (hεθ : ε ≤ θ) :
ENNReal.ofReal (Real.exp (ε * b)) *
(P.withDensity (fun ω : Ω =>
ENNReal.ofReal
(Real.exp (θ * X.X t ω - (t : ℝ) * X.ψ θ))))
{ω : Ω | ENNReal.ofReal (Real.exp (ε * b)) ≤
ENNReal.ofReal (Real.exp (-ε * X.X t ω))} ≤
ENNReal.ofReal
(Real.exp ((t : ℝ) * (X.ψ (θ - ε) - X.ψ θ))) := by sorrySource
Use the pinned nonnegative integral Markov inequality `mul_meas_ge_le_lintegral` with measurable exp(−εX_t), then substitute the proven finite negative Esscher ENNReal Laplace identity. This is a nonasymptotic step toward the grid downward-ruin tail, independent of Wiener–Hopf.