Exponentially tilted measures #
The exponential tilting of a measure μ on α by a function f : α → ℝ is the measure with
density x ↦ exp (f x) / ∫ y, exp (f y) ∂μ with respect to μ. This is sometimes also called
the Esscher transform.
The definition is mostly used for f linear, in which case the exponentially tilted measure belongs
to the natural exponential family of the base measure. Exponentially tilted measures for general f
can be used for example to establish variational expressions for the Kullback-Leibler divergence.
Main definitions #
Measure.tilted μ f: exponential tilting ofμbyf, equal toμ.withDensity (fun x ↦ ENNReal.ofReal (exp (f x) / ∫ x, exp (f x) ∂μ)).
Exponentially tilted measure. When x ↦ exp (f x) is integrable, μ.tilted f is the
probability measure with density with respect to μ proportional to exp (f x). Otherwise it is 0.
Equations
- μ.tilted f = μ.withDensity fun (x : α) => ENNReal.ofReal (Real.exp (f x) / ∫ (x : α), Real.exp (f x) ∂μ)
Instances For
Equations
- ⋯ = ⋯
Alias of MeasureTheory.setLIntegral_tilted'.
Alias of MeasureTheory.setLIntegral_tilted.
Alias of MeasureTheory.setIntegral_tilted'.
Alias of MeasureTheory.setIntegral_tilted.