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TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)
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Levy inversion formula

Statement

Assume AC. For a real random variable X and a<b, limT12πTTeitaeitbitφX(t)dt=P(a<X<b)+P(X=a)+P(X=b)2. The quotient at t=0 means ba. Thus atom-free endpoints give exactly the open-interval probability.

Facts & Assumptions

Given: The hypotheses and conventions in the statement.

[F1]

The exponential is integrated against the probability law. Characteristic function of a real random variable.

[F2]

The symmetric sine integrals have uniform bound and signed limit. Uniform sine integral bound and dirichlet value.

[F3]

Absolute product integrability permits exchange of integrals. Fubini's theorem for L^1 functions on a sigma-finite product.

[F4]

A fixed integrable majorant permits passage to the limit. Dominated convergence.

[F5]

Sine and cosine primitives evaluate the real and imaginary integrals. The derivatives of sine and cosine are cosine and minus sine.

[F7]

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.

[F8]

AC covers the analytic bridge and sine-integral lemma. The Axiom of Choice.

Proof

technique · direct
1.1

Let μ=PX and define q(t)=abeitydy. Applying FTC to the sine and cosine components gives the stated quotient for t0, while q(0)=ba. The integral expression shows q(t)ba and continuity at zero by dominated convergence on [a,b]. F7 identifies the compact integrals with Lebesgue integrals; AC covers its assumption and F2.

F1F4F5F6F7F8
2.1

For T>0 the joint integrand q(t)eitx is Borel and its absolute integral against dtμ(dx) on [T,T]×R is at most 2T(ba). Fubini gives TTq(t)φX(t)dt=R(RT(xa)RT(xb))μ(dx),RT(z)=TTsin(tz)tdt. Indeed expand the exponentials after multiplication by eitx: the imaginary part is an odd function of t and integrates to zero, leaving the two displayed real sine integrals.

step 1.1F1F3F5
3.1

F2 bounds the difference of sine kernels uniformly in x and T, and its limit is π(sgn(xa)sgn(xb)). This equals 2π when a<x<b, π when x=a or x=b, and zero when x<a or x>b. Since μ has mass one, dominated convergence applies to the right-hand side of step 2.1. Division by 2π proves every term of the stated formula, including the half endpoint atoms.

step 2.1F2F4

Depends on

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Sources