For an integrable random variable and a sub-sigma-algebra , the conditional expectation is an integrable, -measurable random variable satisfyingfor every .
Conditional expectation is unique up to almost sure equality. If and both satisfy the definition, then for every ,The events and belong to . Testing on them, or first on and , shows that both have probability zero. Hence almost surely.
If , independence makes independent of itself, soThus every event in has probability zero or one. The intersection is trivial modulo null sets, and the independent sigma-algebras have trivial intersection result givesalmost surely.
Put . By symmetry,Their sum is , which is measurable with respect to , soThereforeThis also follows from the Gaussian conditional expectation formula because .
If , then is already -measurable, soIf , the tower property of conditional expectation givesFinally, if and are independent, the -measurable variable is independent of . Its conditional expectation given is its mean . Part c shows that the right side is also .
The equation fails for general nonnested sigma-algebras. On the four-point space with uniform probability, letand take . The intersection is trivial, soBut is -measurable andwhich is zero on and is not almost surely . This exhibits the failure of iterated conditional expectation over nonnested sigma-algebras.
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