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TauCeti.Analysis.CompletelyMonotone.Bernstein.Exponential.Measure

Exponential measures as Bernstein representing measures #

The exponential probability measure with rate r > 0, transported from ℝ to ℝ≥0, has Laplace transform

t ↦ r / (r + t).

This gives a continuous, non-atomic example of Bernstein's theorem: at unit rate the function t ↦ 1 / (1 + t) is represented by the measure with density e⁻ˣ on [0, ∞). Unlike the Dirac examples, this exercises a genuinely continuous representing measure.

The measure is defined in TauCeti.Probability.Distributions.Exponential.Basic by pushing Mathlib's ProbabilityTheory.expMeasure forward along Real.toNNReal. A positive-rate exponential random variable is nonnegative almost surely, so this transport retains the law and turns its moment-generating-function formula into the required Laplace-transform formula.

Main declarations #

References #

The Laplace transform of the exponential measure of rate r > 0 is r / (r + t) throughout its maximal finiteness domain -r < t.

The positive-rate exponential measure represents t ↦ r / (r + t) in Bernstein's theorem.

theorem TauCeti.bernsteinMeasure_div_add {r : ℝ} (hr : 0 < r) :

The canonical Bernstein representing measure of t ↦ r / (r + t), for positive r, is the exponential measure of rate r on ℝ≥0.

At unit rate, the exponential measure on ℝ≥0 represents t ↦ 1 / (1 + t).

The canonical Bernstein representing measure of t ↦ 1 / (1 + t) is the unit-rate exponential measure on ℝ≥0.