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The first Borel-Cantelli lemma for measures
Statement
Let be measurable sets in a measure space. If the nonnegative extended sum satisfies
then
No independence hypothesis and no finiteness hypothesis on the whole space are required.
Facts & Assumptions
Given: Measurable sets with .
Measures are monotone (Measures are monotone) and countably subadditive (Finite and countable subadditivity of measures).
The set limsup is (Limit superior and limit inferior of a sequence of sets).
A nonnegative extended sum is the supremum of its partial sums (Series in the nonnegative extended real line), while a convergent real series is the limit of its real partial sums (Series, partial sums, convergence and the sum, divergence, and the tail series).
A convergent real series and each of its tails converge, with total sum equal to the initial partial sum plus the tail sum (A series converges iff each of its tail series converges, and the sum splits as plus the -th tail).
Limits of real sequences respect addition and subtraction (Algebra of limits: sums, scalar multiples, products and quotients).
Proof
Since is finite, every and every partial sum is real. The increase and have supremum ; given , the defining property of the supremum supplies with , and then for every . Thus the real series converges to , and its tail sums are real.
For every , [L2] gives , so monotonicity and subadditivity give .
If , then by tail invariance, and ; hence by the algebra of limits.
The nonnegative number is at most every by step 1.2, while step 2.1 makes those tails arbitrarily small; therefore it is .
Depends on
- Measures on sigma-algebras
- Measures are monotone
- Finite and countable subadditivity of measures
- Series in the nonnegative extended real line
- Limit superior and limit inferior of a sequence of sets
- Series, partial sums, convergence and the sum, divergence, and the tail series
- A series converges iff each of its tail series converges, and the sum splits as $s_N$ plus the $N$-th tail
- Algebra of limits: sums, scalar multiples, products and quotients
Used by
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Sources
- S. Axler, Measure, Integration & Real Analysis, Theorem 12.6 (standard reference, not scraped)
- T. Tao, An Introduction to Measure Theory, Exercise 1.4.44 (standard reference, not scraped)