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Wald first equation under integrable stopping
Statement
Let be iid integrable real random variables with mean , let , and let be an -stopping time with . Then is integrable and
Facts & Assumptions
Given: The hypotheses, objects, and conventions in the Statement.
Expectations factor over finite products of independent random variables factors the tail-event products.
Monotone convergence for the integral, Dominated convergence, and The Lebesgue integral is linear on justify the infinite sums.
Proof
Pointwise, The first identity is understood through finite partial sums; the integrability calculation below shows that is null.
By F1, F2, F3, MCT applied to the nonnegative partial sums and to the second identity in step 1.1 gives Thus the stopped series is absolutely integrable and almost surely.
The signed partial sums are dominated by the integrable absolute series in step 2.1. DCT and finite linearity therefore give where F3 gives the middle factorization. This argument is choice-free: the given iid sequence and stopping time supply all indexed objects, and no conditional-expectation version is chosen.
Depends on
- Equivalent event tests for a discrete stopping time
- Identical distribution and IID families
- Disjoint groups of an independent sigma-algebra family remain independent
- Expectations factor over finite products of independent random variables
- Monotone convergence for the integral
- Dominated convergence
- The Lebesgue integral is linear on $L^1(\mu)$
Used by
Dependency tree · two levels
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Sources
- Durrett, Probability: Theory and Examples, 5th ed., Wald's equation in §4.8 (standard reference, not scraped)