Elementary Properties of Weak Convergence in a Real Inner Product Space
lemmaAnalysislem:weak-convergence-basic-2026aWeak limits are unique; strong convergence implies weak convergence; weak limits respect sums, multiples and subsequences; a norm bound on a weakly convergent sequence passes to the limit; weak convergence plus convergence of norms gives strong convergence (Radon-Riesz); bounded weakly convergent sequences pair continuously with strongly convergent ones; and weak convergence of a bounded sequence can be tested on a dense set.
Let be the ordered field of real numbers, with the notation of that item, and for let be its absolute value. Let be the set of natural numbers, let be a real inner product space with inner product , norm , distance (the symbol denoting the norm or the absolute value according to the type of its argument), let and be sequences in , let , let , and let . Weak convergence is written , convergence of sequences in is convergence in , and convergence of real sequences is as in Limit of a Sequence of Real Numbers. Then the following hold.
1. (Uniqueness)¶ If and , then .
2. (Strong implies weak)¶ If converges to in , then .
3. (Linearity)¶ If and , then , and .
4. (Subsequences)¶ If , then every subsequence of converges weakly to .
5. (Norm bound passes to the limit)¶ If and for every , then .
6. (Radon-Riesz)¶ If and the real sequence converges to , then converges to in .
7. (Pairing)¶ If , for every , and converges to in , then the real sequence converges to .
8. (Dense criterion)¶ Let be dense in . If for every and converges to for every , then .
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