We have already considered convergent sequences for rational numbers. Without proper definition of “differences of real numbers” we did not have other choice. Now however, we can talk about adding and subtracting real numbers without any worry. Convergence is the key notion of real analysis, so let us repeat its definition for real numbers.
A sequence of real numbers
converges to the real number
, if after a while the elements of the sequence are very close to the number .
A sequence of real numbers
converges to the real number
, , if for any there exists such that
provided that . The number is called the limit of the
sequence . Sometimes we will say that “tends” to .
Sometimes we will use the following notation for the convergence of :
The following simple observation is crucial.
If and , then .
Proof: Suppose that and , but . By definition, there exists such that if , then both and . However, this leads to a contradiction, since .
We can define Cauchy-sequences of real numbers as well.
A sequence of real numbers is a Cauchy-sequence if for all there exists such that provided that .
As in the case of rationals we have the following results:
If for a real sequence , then is a Cauchy-sequence.
A sequence of real numbers is bounded, if there exists a positive number such that for any , (or, if you wish, ).
is a bounded (but not convergent) sequence. The sequence is not bounded.
Let and be bounded sequences. Then, both , and are bounded sequences.
Solution There exist an and such that , . Hence, for any , and .
Is the sign important in the definition of boundedness? Can we substitute it with a sign?
A Cauchy-sequence of real numbers is bounded (that is there exists some integer such that for any , ).
In order to get plenty of examples of convergent sequences we need the following proposition.
Let , . Then:
[sum rule]
[subtraction rule]
[product rule]
If and for all , then [quotient rule]
Proof: In order to show 1. we need to see that for any there exists such that if then . We know that there exists an integer such that if , then and there exists an integer such that if , then . Let be the maximum of and . If , then and , so (by the Triangle Inequality). Statement 2. can be seen in the same way. In order to show 3. we need to see that for any there exists such that if then . Since, and are convergent they are bounded. Fix . Then, there exists a positive number so that for all , . (We have a bound for and a bound for and then we should pick the maximum as a joint bound, we will do it automatically in the future, since it is so obvious). By definition, we have an (joint) (well, we are in the future now…) so that if , then
We have that , so by the Triangle Inequality, Hence Statement 3. follows. Now we prove Statement 4. By Statement 3., we can suppose that all equal to . We need to show that for any there exists such that if , then . We use the fact that
(2.1) |
Since and , there exists an such that if , then
(2.2) |
So, if , then Hence if , then
(2.3) |
Now let . Again, since and we have an such that for any :
(2.4) |
Let be the maximum of and . Then by (2.3), we have that for
Therefore, by (2.1) if , then
Hence Statement 4. follows.
Calculate , where .
Solution: Dividing by we get that
By Example 1.1.1, So by the product rule and the sum rule
Hence, by the quotient rule,
Finally, we prove the so-called Sandwich (or Squeeze) Rule.
Let , be convergent sequences. Suppose that for any , or Then as well.
Proof: For any there exists such that if then and . But then, as well. Hence, .
Suppose that , are convergent sequences of positive numbers. Then and .
Solution: If , then and , hence the statement follows.
Let and be convergent sequences such that for any , . Then
Proof: Let us prove this result by contradiction. Suppose that and and suppose that . Let . By the definition of convergence, there exists such that if , then . Therefore , leading to a contradiction.
Let be a convergent sequence tending to . Suppose that for some it holds that for all , . Then .
Proof: Just apply the proposition above for the sequences and .