A subsequence of has the form , where is a strictly increasing sequence of indices.
A monotone subsequence is a subsequence which is a monotone sequence. The indices always increase strictly, but equal selected values are permitted. The monotone subsequence theorem guarantees one for every sequence of real numbers.
A subsequential limit of a sequence is a value approached by some subsequence with strictly increasing indices . For , the subsequences at even integers and odd integers give subsequential limits one and minus one. A finite value appearing among only finitely many initial terms does not become a subsequential limit merely by being a member of the image of a function represented by the sequence.
For a bounded sequence of real numbers, its subsequential limits form a nonempty bounded set that is also a closed set. The Bolzano-Weierstrass theorem guarantees nonemptiness, and its extreme values are the limit inferior and limit superior. The sequence in sparse peaks can determine a limit superior has the two subsequential limits zero and one, despite almost all indices in the natural density sense carrying zero.
Every real sequence has a monotone subsequence, without a boundedness assumption. Call an index a peak when its term is at least every later term. Infinitely many peaks give a nonincreasing subsequence; beyond finitely many peaks each term has a larger later term, which recursively gives an increasing subsequence.
For a sequence of real numbers, a common finite limit of a sequence for all monotone subsequences forces the whole sequence to have that limit of a sequence. There is no need to assume a bounded sequence if the hypothesis already includes convergence of every monotone subsequence.
If fails to tend to , select a subsequence with for some fixed . The monotone subsequence theorem gives a monotone subsequence of this subsequence, which contradicts the common limit of a sequence . Conversely, every subsequence of a convergent sequence has the original limit of a sequence.
For a bounded sequence, the bounded monotone sequence theorem already ensures that all monotone subsequences converge. Only agreement of their limits of sequences remains to be checked.
A peak of a sequence of real numbers is an index whose value is at least every later value. This is a condition on the entire tail, stronger than comparing only adjacent terms. Equality is allowed: every index of a constant sequence is a peak of a sequence.
Infinitely many peaks of a sequence, listed in increasing order of index, give a nonincreasing monotone subsequence. If only finitely many exist, every index beyond the last has a larger later term; repeatedly choosing one gives a strictly increasing monotone subsequence. This proves the monotone subsequence theorem.
A peak of a sequence of supplies a lower bound for all subsequent terms of . If both and have a peak of a sequence, the two selected values bound a common tail. Adding bounds for the finite initial segment proves that is a bounded sequence.
Suppose are peaks of a sequence and are peaks of a sequence . Then converges precisely when these two subsequences have a common finite limit of a sequence .
Necessity follows because every subsequence inherits the limit of a sequence of a convergent sequence. For sufficiency, choose one selected value from each subsequence within of . Every term after both selected indices lies between the two selected values:
This is exactly .
Suppose both and have only finitely many peaks of a sequence. Beyond some index , every term has a strictly larger later term and a strictly smaller later term. Starting from , construct one strictly increasing and one strictly decreasing monotone subsequence.
If the original sequence had limit of a sequence , both selected subsequences would tend to . The increasing one has a second term strictly above , so ; the decreasing one similarly forces . This contradiction proves nonconvergence. For example, has no peaks of a sequence in either sign and diverges.

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