ANALYSIS I
Induction, Sequences and Limits
1/29/96
Chapter 3 deals with limits and the topology of IR. First
we recall the concept of induction.
Theorem. (Principle
of Mathematical Induction.) Suppose that a statement p(n)
is defined for each natural number n. If
-
p(1) is true
-
( (p(n) true) Þ (p(n+1)
true) ) is a true statement for each n Î
IN,
then p(n) is a true statement for each natural number
n.
Pf. Suppose to the contrary that the set
B: = {n Î IN|p(n)
false
} is not empty. Notice that 1 does not belong to B. Let N be the smallest
element of B (possible since you can take a minimum of a finite set of
integers), then set n: = N-1. Observe by assumption (1) that n Î
IN, and by the definition of B that p(n) is true. By assumption
(2), it follows that p(n+1) is true. But n+1 = N. Contradiction.
Hence B must be empty. [¯]
Example. These
will useful in our study of convergence. Both are proved by induction.
-
åj = 0n
rj = [(1-rn+1)/(1-r)], if r ¹
1.
-
1+n a £ (1+a)n,
if a > 0 & n Î
IN. (Bernoulli's inequality)
Defn.
If e > 0 an e-neighborhood
of a is defined to be the set
Ne(a) : =
{x Î IR| |x-a|
< e}. |
|
Notice that Ne(a) =
(a-e, a+e).
Defn.
A sequence of real numbers is
defined to be a mapping from the natural numbers IN to the reals and is
denoted by a1, a2,a3,... or by {an}n
= 1¥. The following definitions
are used throughout the course:
-
{an} is bounded,
if |an|£
K, for all n Î IN.
-
{an} is convergent
to a, denoted by limn®¥
an = a, if each e-nbhd of a contains
all but a finite number of terms of the sequence. We also use the shorter
notation an ® a when there is
no ambiguity on the indices.
Example. The following
are examples of sequences:
-
1/2, 1/3, 1/4, ¼
-
1, r, r2, r3, ¼
-
1, 1+r, 1+r+r2, 1+r+r2+r3,
¼
Lemma. limn®¥an
= a if and only if
for every e > 0, there
exists N Î INso that if n ³
IN, then |an - a|<
e.
In short hand this reads `
"e > 0,
$N
= N(e) Î IN
' n ³ IN(e)
Þ
|an - a|
< e.'
Pf. Notice that if a statement is true
except for at most a finite number of terms, then there is a a largest
integer for which it is not true. Take N to be that integer's successor.
[¯]
Example.
-
limn®¥ [1/n]
= 0.
Proof. Use the Archimedean Principle.
-
limn®¥ [(3n2-1)/(n2+n+25)]
= 3.
(Hint: For a given e > 0, use N: = max{76,4N1}
where N1 is the `cutoff' for Example 1, i.e. any integer larger
than 1/e)
-
If |r| <
1,
then rn ® 0 .
Pf. If r = 0, then the conclusion follows straight
away. Suppose that 0 < |r|
< 1, then if b: = 1/|r|
-1 we see that b > 0 and |r|
= 1/(1+b). By Bernoulli's inequality, |rn|-1
= (1+b)n ³ 1+nb. Inverting this
inequality gives |rn-0|£
1/(1+nb). By example 1, pick N so that 1/n < be
if n
³ N. Hence,
|rn-0|£ |
1
1+nb |
< |
1
nb |
< e,
if n ³ N. [¯] |
|
-
limn®¥ an
= 1/(1-r), if an : = 1+r+r2+¼
+rn and |r| <
1.
Pf. If r = 0, the conclusion follows immediately.
We may suppose then that 0 < |r|
< 1. In this case, we use the identity above, i.e.
an: = |
n
å
j = 0 |
rn = |
1-rn+1
1-r |
|
|
to see that
where a: = 1/(1-r). Now, given e > 0,
by example 3 there is an N0 such that n ³
N0 implies |rn|
< ([(1-|r|)/(|r|)])e.
Combined with the displayed equation, this gives |an-a|
< e if n ³ N0.
[¯]
Theorem.
If limn®¥ an exists,
then it is unique.
Pf. Suppose that limn®¥
an = A1 and limn®¥
an = A2 and that A1 ¹
A2. Set e: = |A1-A2|/2.
Now e > 0 so there exists N1, such
that if n ³ N1 then |an-A1|
< e. Since the sequence converges to A2, we also have
that there exists N2, such that if n ³
N2 then |an-A2|
< e. Let N: = N1+N2, then N is larger than
both N1 and N2 and so
|A1 - A2|£|A1
- aN| + |A2
- aN|< 2
e
= |A1 - A2|,
|
|
which gives a contradiction. [¯]
Theorem.
Each convergent sequence is bounded.
Pf. Suppose that limn®¥an
= a. Let e: = 1, then there is an integer N
such that an Î Ne(a)
if n ³ N. This means that a-1
< an < a+1, if n ³
N. If M: = max{a+1, a1, a2, ...,aN-1}
and m: = min{a-1, a1, a2, ..., aN-1},
then
m £ an£
M, for all n. [¯]
|
|
Note. Not every
bounded sequence is convergent. For example, the sequence an
: = (-1)n is bounded, but the sequence is not convergent. To
see this take e = 1.
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