In the last article, we mentioned that some rules for limit calculation carry through to improper convergent sequences, and some don't. For instance, if a sequence
(improperly) converges to
and a second sequence
(properly) converges to
, one cannot make any statement about the convergence of their product!
Math for Non-Geeks: Template:Aufgabe
Rules for computing limits of improperly converging sequences
[edit | edit source]
Which calculation rules for limits of convergent sequences can be carried over to improper convergence? The answer is: almost all of them, but only if certain conditions hold!
Suppose that
is a sequence with
. What will happen to the product
? The case
definitely causes trouble, meaning that we cannot make any statement about convergence or divergence of the product.
Case 1:
. Intuitively,
so we expect
. This assertion only needs to be mathematically proven:
Let
be given. Since
we can find an
with
for all
. Analogously, since
there is an
with
for all
. Whenever
we therefore have
So, indeed
.
Case 2:
. Intuitively,
so we expect
. What we need to show for a mathematical proof is:
So let again
be given. Since
there is an
with
for all
. Analogously, since
there is an
with
for all
. Now, for all
we have
And indeed there is
.
Case 3:
. Intuitively,
so we again make a guess
. The proof could be done as the two examples above. However, this time we will vary it a bit, to make it not too boring:
Let
be given. Since
, for each
there is an
with
for all
. We set
. Then there is
:
, which especially includes
. Since
there is some
with
for all
. Now for
we have
And hence
.
Case 4:
. Here,
.
Math for Non-Geeks: Template:Aufgabe
Those four cases can also be concluded into one statement. We introduce a practical extension of the real numbers: To the set
, we add the elements
which leads to the bigger set
.
Let again
be a sequence with
. What can we say about the limit of a sum
? For finite
, the limit will stay unchanged, as intuitively
. Similarly
. The critical case is
, as
is not well-defined. In fact, this case does not allow for any statement about convergence or divergence of the sum
. As an example,
- For
and
there is
.
- For
and
there is
.
We therefore exclude the case
and consider all other cases:
Case 1:
. We expect
Mathematically, we need to prove:
Let
be given. Since
there is an
with
for all
. Analogously, since
there is an
with
for all
. Hence, for all
we have
And indeed
.
Case 2:
. We also expect
. Mathematically, we need to prove:
Let
be given. Since
for each
we can find an
with
for all
. This includes the case
. Hence,
for all
. Since
there is also an
with
for all
. Hence, for any
we have
And we get the desired result
.
Both cases can be concluded in a theorem:
This rule is also quite intuitive: Let
be a sequence with
for all
and
or
, then
formally converges to
and should hence be a null sequence. Is this really mathematically true?
Case 1:
. We need to show
Let
be given. Since
for any
there is an
, such that
there is
. Hence,
there is
So
.
Case 2:
.
Math for Non-Geeks: Template:Aufgabe
We conclude these findings in a theorem:
The question is now: can we define a "converse of the inversion rule" which holds under more special assumptions? The sequence
is not diverging to
or
because it keeps changing presign, so there is a subsequence of it converging to
and a subsequence converging to
. We can avoid this by forbidding a change of presign in
. It should also not be too bad if the change of presign is allowed again on finitely many elements, since a manipulation on finitely many elements never changes convergence properties.
Case 1: Let
be a sequence with
, all sequence elements being
and all but finitely many sequence elements being positive. Then, intuitively
. For a mathematical proof, we need to show that
Let
be given. Since
is a null sequence, for
we can find an
with
for all
. Since almost all elements of
are positive, there is an
with
for all
. Therefore
for all
. So we get
.
Case 2: Let now
v
, all sequence elements being
but this time, almost all of them are negative.
Math for Non-Geeks: Template:Aufgabe
The converse of the inversion rule is also concluded into a theorem.
The inversion rule is an example of a quotient
of sequences
and
wit constant
. Now, we generalize to quotients
of any sequences
and
with
for all
.
First, we consider
. At this point, we exclude the cases
, since
is ill-defined. Let
. Then, formally
. To verify this mathematically, we need to show
Let
be given. Since there is convergence
, the sequence
must be bounded, i.e. there is a
with
for all
. Now since
, the inversion rule implies
. So there is an
with
for all
. Hence,
there is:
And we have convergence
.
The case
and
also leads to
by the same argument.
We conclude
Next, we let the enumerator diverge as
. The case
again leads to the ill-defined expression
and will not be not considered at this point.
Case 1:
. Here, we assert
. :
Let
be given. Since
converges to
, there must be an
, such that
for all
. Since
there is also an
with
for all
. Hence, for all
, there is:
So we have convergence
.
Case 2:
with almost all
being positive. Here, we assert
. A mathematical proof requires showing
Let
be given. Since
converges to
and almost all elements are positive, there must be an
with
for all
. Since
there is also an
with
for all
. So for all
, there is:
And again, we have convergence
.
Math for Non-Geeks: Template:Aufgabe
All 4 cases are concluded in a theorem
Intuitively, if
is given and some "smaller" sequence
diverges to
, then also the "bigger"
must tend to
. This should still hold true if "
is bigger than
" almost everywhere. Mathematically, we need to show
So let
be given. Since
there is an
with
for all
. Since
for all but finitely many
there is an
with
for all
. So indeed,
.
We conclude this in a theorem:
Of course, a similar statement holds true for
and
. Then also
. This can easily seen by considering the sequences
and
.