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2.1 Convergent sequences

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.

Definition 2.1.1 (Plain English definition of convergence of real numbers)

A sequence of real numbers {xn}n=1
converges to the real number x, if after a while the elements of the sequence are very close to the number x.

Definition 2.1.2 (Convergence of real numbers)

A sequence of real numbers {xn}n=1
converges to the real number x, xnx, if for any ε>0 there exists N>0 such that |xn-x|ε provided that nN. The number x is called the
limit of the sequence {xn}n=1. Sometimes we will say that {xn}n=1 “tends” to x.

Sometimes we will use the following notation for the convergence of {xn}n=1:

limnxn=x.

The following simple observation is crucial.

Lemma 2.1.1

If limnxn=x and limnxn=y, then x=y.

Proof:  Suppose that limnxn=x and limnxn=y, but xy. By definition, there exists N>0 such that if nN, then both |xn-x|<|x-y|2 and |xn-y|<|x-y|2. However, this leads to a contradiction, since |x-y|<|xn-x|+|xn-y|.

We can define Cauchy-sequences of real numbers as well.

Definition 2.1.3 (Cauchy-sequences of real numbers)

A sequence of real numbers {xn}n=1 is a Cauchy-sequence if for all ε>0 there exists N>0 such that |xn-xm|ε provided that n,mN.

As in the case of rationals we have the following results:

Proposition 2.1.1 (CONVERGENCE IMPLIES CAUCHY)

If for a real sequence {xn}n=1 limnxn=x, then {xn}n=1 is a Cauchy-sequence.

Definition 2.1.4

A sequence {xn}n=1 of real numbers is bounded, if there exists a positive number M>0 such that for any n1, |xn|<M (or, if you wish, -M<xn<M).

Example 2.1.1

1,0,1,0,1, is a bounded (but not convergent) sequence. The sequence {xn=n}n=1 is not bounded.

Question 2.1.1

Let {xn}n=1 and {yn}n=1 be bounded sequences. Then, both {xn+yn}n=1, {xnyn}n=1 and {10100000xn}n=1 are bounded sequences.

Solution There exist an M and N such that |xn|<M, |yn|<N. Hence, for any n1 |xn+yn|<M+N, |xnyn|<MN and |10100000xn|<10100000M.

Nitpicking 2.1.1

Is the sign < important in the definition of boundedness? Can we substitute it with a sign?

Proposition 2.1.2 (CAUCHY IMPLIES BOUNDED)

A Cauchy-sequence {xn}n=1 of real numbers is bounded (that is there exists some integer M such that for any n1, |xn|M).

In order to get plenty of examples of convergent sequences we need the following proposition.

Proposition 2.1.3

Let limnxn=x, limnyn=y. Then:

  1. 1.

    limn(xn+yn)=x+y. [sum rule]

  2. 2.

    limn(xn-yn)=x-y. [subtraction rule]

  3. 3.

    limnxnyn=xy. [product rule]

  4. 4.

    If y0 and for all n1 yn0, then limnxnyn=xy. [quotient rule]

Proof:  In order to show 1. we need to see that for any ε>0 there exists N>0 such that if nN then |(xn+yn)-(x+y)|ε. We know that there exists an integer P>0 such that if nP, then |xn-x|<ε/2 and there exists an integer R>0 such that if nR, then |yn-y|<ε/2. Let N be the maximum of P and R. If nN, then |xn-x|<ε/2 and |yn-y|<ε/2, so |(xn+yn)-(x-y)||xn-x|+|yn-y|ε (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 ε>0 there exists N>0 such that if nN then |(xnyn)-(xy)|ε. Since, {xn}n=1 and {yn}n=1 are convergent they are bounded. Fix ε. Then, there exists a positive number M>0 so that for all n, |xn|M,|yn|M. (We have a bound for xn and a bound for yn 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) N (well, we are in the future now…) so that if nN, then

|xn-x|ε2M.
|yn-y|ε2M.

We have that xnyn-xy=(xn-x)yn+x(yn-y), so by the Triangle Inequality, |xnyn-xy||xn-x||yn|+|x||yn-y|ε. Hence Statement 3. follows. Now we prove Statement 4. By Statement 3., we can suppose that all xn equal to 1. We need to show that for any ε>0 there exists N>0 such that if nN, then |1yn-1y|ε. We use the fact that

|1yn-1y|=|yn-y||yn||y|. (2.1)

Since yny and y0, there exists an P>0 such that if nP, then

|yn-y|<12|y|. (2.2)

So, if nP, then |yn|12|y|. Hence if nN, then

|yn-y||yn||y||yn-y|12|y|2. (2.3)

Now let ε>0. Again, since yny and y0 we have an M>0 such that for any nM:

|yn-y|12ε|y|2. (2.4)

Let N be the maximum of P and M. Then by (2.3), we have that for nN

|yn-y||yn||y|12ε|y|212|y|2=ε.

Therefore, by (2.1) if nN, then

|1yn-1y|ε.

Hence Statement 4. follows.

Question 2.1.2

Calculate limnxn, where xn=12n7-6n3+9n7+4n6-11n.

Solution: Dividing by n7 we get that

xn=12-61n4+91n71+41n-111n6.

By Example 1.1.1, limn1n=0. So by the product rule and the sum rule

limn12-61n4+91n7=12.
limn1+41n-111n6=1.

Hence, by the quotient rule,

limn12n7-6n3+9n7+4n6-11n=12.

Finally, we prove the so-called Sandwich (or Squeeze) Rule.

Proposition 2.1.4 (Sandwich Rule)

Let xna,yna be convergent sequences. Suppose that for any n1, xnznyn or xnznyn Then zna as well.

Proof:  For any ε>0 there exists N>0 such that if nN then |xn-a|ε and |yn-a|ε. But then, |zn-a|ε as well. Hence, zna.

Question 2.1.3

Suppose that xna,yna are convergent sequences of positive numbers. Then xn+yn2a and xnyna.


Solution: If xnyn, then xnxn+yn2yn and xnxnynyn, hence the statement follows.

Proposition 2.1.5 (The limit is monotone)

Let {xn}n=1 and {yn}n=1 be convergent sequences such that for any n1, xnyn. Then limnxnlimnyn.

Proof:  Let us prove this result by contradiction. Suppose that xnx and yny and suppose that x>y. Let x-y=a>0. By the definition of convergence, there exists N>0 such that if nN, then |x-xn|<a2,|y-yn|<a2. Therefore xn>yn, leading to a contradiction.

Corollary 2.1.1

Let {xn}n=1 be a convergent sequence tending to x. Suppose that for some a<b it holds that for all n1, axnb. Then axb.

Proof:  Just apply the proposition above for the sequences {yn=b}n=1 and {xn}n=1.