Recall the definition of
For any
,
there is an M such that if x>M then
.
If we restrict the x's to be natural numbers we get the definition of a limit for a sequence:
The similarity of these two definitions together with the fact that you
already have techniques for finding limits of functions of a real variable
as
(used for finding horizontal asymptotes) makes the following
lemma both useful and easy to prove:
PROOF:
(Sketch) GivenNotice that this lemma only goes one way: having the function have L as limit is much stronger than having the sequence have L as limit. It is quite possible for the sequence to converge but to have no limit for the function. For example ifwe get an M from
. Use that same M for
.
Often, though, the most important theorem to uses is one which uses the least upper bound property to show that a limit exists even if you don't know what that limit is:
Here bounded means that there is a b such that -b<an <b for all
.
Monotone means that the sequence either always increases or always
decreases rather than mixing them up and sometimes increasing and
sometimes decreasing. I'll give the proof for monotone invcreasing
sequences.
PROOF:
Let S be the set of all values of the sequence
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We know that S is nonempty because it contains a0. We know it is bounded because b is an upper bound. Now the least upper bound property (which distinguishes the real numbers from the rationals) says that any non-empty set of real numbers with an upper bound has a least upper bound. Let L be the least upper bound of S. We will show that L is the limit of the sequence.Since L is an upper bound we know that for every n,
. Since
we know that
is not an upper bound since L was the least, so there must be some M with
. That is the M we are looking for. If n>M then
so
.
All of the tests for convergence of positive term series depend on this theorem, so it becomes increasingly important as the subject progresses.