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math104-s22:notes:lecture_6

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Lecture 6

Last time, we ended at discussion of two equivalent definitions of subsequential limit. I hope the Cantor's diagonalization trick was fun. Today, we prove the following results

  • If sns_n converge to ss, then every subsequence of sns_n converges to ss.
  • Every sequence has a monotone subsequence.
    • If there are infinitely many sns_n, that is 'larger than its tails' (snsks_n \geq s_k for all knk \geq n), then we can take the subsequences of such sns_n, it is monotone decreasing.
    • Otherwise, you throw away an initial chunk that contains such sns_n, then you can always build an increasing sequence (nothing can stop you)
  • Every bounded sequence has convergent subsequence. (just take a monotone sequence, then it will be convergent)
  • lim sup\limsup and lim inf\liminf can be realized as subseq limits.
  • Let (sn)(s_n) be a seq, and SS denote the set of all subseq limits. Then, SS is non-empty. supS=lim supsn\sup S = \limsup s_n and infS=lim infsn\inf S = \liminf s_n.
math104-s22/notes/lecture_6.1643869378.txt.gz · Last modified: 2022/02/02 22:22 by pzhou