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090概率困难derivationlong

Borel's Paradox: Conditioning on Measure-Zero Events

题目

Let (Θ,Φ)(\Theta, \Phi) be uniformly distributed on the unit sphere S2S^2, where Θ[0,2π)\Theta \in [0, 2\pi) is the longitude and Φ[0,π]\Phi \in [0, \pi] is the colatitude, with joint density f(θ,ϕ)=14πsinϕf(\theta, \phi) = \frac{1}{4\pi} \sin \phi.

(a) Compute the conditional distribution of Φ\Phi given Θ=0\Theta = 0 by treating Θ\Theta as the conditioning variable (i.e., compute f(ϕθ=0)f(\phi \mid \theta = 0)).

(b) Now reparameterize: let X=cos(Θ)sin(Φ)X = \cos(\Theta) \sin(\Phi), Y=sin(Θ)sin(Φ)Y = \sin(\Theta) \sin(\Phi), Z=cos(Φ)Z = \cos(\Phi). The great circle {Θ=0}\{\Theta = 0\} can equivalently be described as {Y=0,X0}\{Y = 0, X \geq 0\}. Compute the conditional distribution of Φ\Phi given Y=0Y = 0 and X>0X > 0. Is it the same as in part (a)?

(c) Explain why the two answers differ. What does this tell us about the meaning of 'conditioning on a measure-zero event,' and what is the correct mathematical framework for resolving this ambiguity?

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你的答案

a

b_distribution

b_same_as_a

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Give a practical example from quantitative finance where Borel's paradox (or the dependence of conditional distributions on parameterization) can arise. How should a practitioner handle it?

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