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Levy inversion formula
Statement
Assume AC. For a real random variable and , The quotient at means . Thus atom-free endpoints give exactly the open-interval probability.
Facts & Assumptions
Given: The hypotheses and conventions in the statement.
The exponential is integrated against the probability law. Characteristic function of a real random variable.
The symmetric sine integrals have uniform bound and signed limit. Uniform sine integral bound and dirichlet value.
Absolute product integrability permits exchange of integrals. Fubini's theorem for L^1 functions on a sigma-finite product.
A fixed integrable majorant permits passage to the limit. Dominated convergence.
Sine and cosine primitives evaluate the real and imaginary integrals. The derivatives of sine and cosine are cosine and minus sine.
The integral of a derivative is its endpoint increment. The second fundamental theorem: if is differentiable on with and is integrable, then .
The compact analytic integrals agree with Lebesgue integrals under countable choice. A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral.
AC covers the analytic bridge and sine-integral lemma. The Axiom of Choice.
Proof
Let and define . Applying FTC to the sine and cosine components gives the stated quotient for , while . The integral expression shows and continuity at zero by dominated convergence on . F7 identifies the compact integrals with Lebesgue integrals; AC covers its assumption and F2.
For the joint integrand is Borel and its absolute integral against on is at most . Fubini gives Indeed expand the exponentials after multiplication by : the imaginary part is an odd function of t and integrates to zero, leaving the two displayed real sine integrals.
F2 bounds the difference of sine kernels uniformly in x and T, and its limit is . This equals when , when or , and zero when or . Since has mass one, dominated convergence applies to the right-hand side of step 2.1. Division by proves every term of the stated formula, including the half endpoint atoms.
Depends on
- Characteristic function of a real random variable
- Uniform sine integral bound and dirichlet value
- Fubini's theorem for L^1 functions on a sigma-finite product
- Dominated convergence
- The Axiom of Choice
- The derivatives of sine and cosine are cosine and minus sine
- The second fundamental theorem: if $G$ is differentiable on $[a,b]$ with $G' = f$ and $f$ is integrable, then $\int_a^b f = G(b)-G(a)$
- A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral
Used by
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Sources
- Durrett, Probability: Theory and Examples, fifth edition (standard reference, not scraped)
- Norris, Probability and Measure (standard reference, not scraped)