Section 2.1 Problems
2.2 Sequences
2.2.2 Limits
in which the value ofan+1depends on the valuesan andan−1—that is, on the values one and two time steps back. To determine the values of successive members of a sequence given in recursive form, we need to specify an initial valuea0if we start the sequence atn=0 (ora1if we start the sequence atn=1).
In the notation of this section, the exponential growth of the previous section is given explicitly by
an =a0Rn, n=0,1,2, . . . and recursively by
an+1 = Ran, n=0,1,2, . . .
Note that, in the recursive definition, the initial valuea0needs to be specified.
Solution
Successive terms ofan, namely,1,2,4,8,16,32, . . .
indicate that the terms continue to grow. Hence,an goes to infinity asn → ∞, and we can write limn→∞an = ∞. Since infinity (∞) is not a real number, we say that the limit does not exist.
Let’s look at one more example of a limit that exists before we give a formal definition.
EXAMPLE 8 Find
n→∞lim n+1
n
Solution
Starting withn=1 and computing successive terms, we find that2,3 2,4
3,5 4,6
5, . . .
We see that the terms get closer and closer to 1, and, indeed,
n→∞lim n+1
n =1
The way we solved the first four examples is unsatisfying: We guessed the limiting values. How do we know that our guesses are correct? There is a formal definition of limits that can be used to compute them. However, except in the simplest cases, the formal definition is quite cumbersome to use. Fortunately, there are mathematical laws that build on simple limits (which can be computed from the formal definition).
We will first discuss the formal definition (as an optional topic) and then introduce the limit laws.
Formal Definition of Limits (Optional) Example 8 will motivate the formal definition of limits. When we guessed the limit in Example 8, we realized that successive terms approached 1. This means that no matter how small an interval about 1 we choose, all points must lie in this interval for all sufficiently large values ofn. Graphically, the points of the graph ofanmust lie between the two dashed lines in Figure 2.10 for all large enough values ofn, no matter how close those lines are to the horizontal line at height 1.
1.4 1.2 1 0.8
0.4 0.6
0 an
n
5 10 15 20
Figure 2.10 Convergence of the sequencean= n+n1 toa=1.
Translating this condition into a formal statement for the general case, we arrive at the following definition:
Formal Definition of Limits The sequence {an} has limit a, written as limn→∞an =a, if, for every >0, there exists an integer N such that
|an−a|< whenevern> N
If the limit exists, the sequence is called convergent and we say that an
convergestoaas ntends to infinity. If the sequence has no limit, it is called divergent.
The value ofN will typically depend on : The smaller is, the larger N is. We illustrate the concept of a converging sequence in Figure 2.11. The horizontal dashed lines are at heightsa+ anda− , respectively. They form a strip of width 2 centered at the horizontal line at height a. Points an within this strip satisfy the inequality
|an−a|< . For a sequence to be convergent, we require thatallpointsanlie in this strip forallnsufficiently large (namely, larger than some N).
N a
a
n a
Figure 2.11 An illustration of the formal definition of limits to show convergence of the sequenceantoa asn→ ∞: For alln>N,anlies in the strip of width 2 and centered at a.
EXAMPLE 9 Show that
n→∞lim 1 n =0
Solution
Before we show this for any arbitrary , let’s try to findN for a particular choice of , say, =0.03. We need to find an integerN such thatn1 −0
<0.03 whenevern>N Solving the inequality|n1−0|<0.03 fornpositive, we find that
1n
<0.03, or n> 1
0.03 ≈33.33
The smallest value forN that we can choose isN =33, which is the largest integer less than or equal to 1/0.03. Successive values forn>33 give us confidence that we are on the right track but don't prove that our choice is correct:
a34= 1
34 ≈0.0294, a35= 1
35 ≈0.0286, and so on
To see that our choice forNworks, we need to show thatn>33 implies|1/n|<0.03.
Now, sincen takes on only integer values,n > 33 is equivalent ton ≥ 34, which implies that 1/n≤1/34≈0.0294. Sincen>0, we have
n1 −0
<0.03 whenevern>33
To show thatan = n1 converges to 0, we need to do the same calculation for any arbitrary . That is, we need to show that, for every >0, we can find anN such that
1n −0
< whenevern> N
To find a candidate forN, we solve the inequality|1n|< . Since 1n >0, we can drop the absolute-value signs and find
1
n < , or n> 1
Let’s chooseN so that 1/N ≥ and 1/(N +1) < , or, equivalently,N ≤1/ and N+1>1/ . This means that we chooseNto be the largest integer less than or equal to 1/ . Ifn> N, thenn≥ N+1, which is equivalent to 1/n≤1/(N +1). Since N is the largest integer less than or equal to 1/ , it follows that 1/n≤1/(N+1) < ≤ 1/N forn > N. This condition, together withn > 0, shows that if N is the largest integer less than or equal to 1/ , then
1n −0
< whenevern> N
Limit Laws The formal definition of limits is cumbersome when we want to compute limits in specific examples. Fortunately, there are mathematical laws that facilitate the computation of limits:
Limit Laws If limn→∞an and limn→∞bnexist andcis a constant, then
n→∞lim(an+bn)= lim
n→∞an + lim
n→∞bn
lim
n→∞(can)=c lim
n→∞an
n→∞lim(anbn)=(lim
n→∞an)(lim
n→∞bn)
n→∞lim an
bn = limn→∞an
limn→∞bn, provided lim
n→∞bn =0
Although we do not need to know the formal definition of limits in order to use the limit laws, in the next two examples we will need to know that
lim
n→∞
1
n =0 (2.6)
which was proved (using the formal definition of limits) in Example 9.
EXAMPLE 10 Find
lim
n→∞
n+1 n
Solution
We break n+1n into a sum of two terms, namely, 1+n1. Since limn→∞1 and limn→∞n1 exist [the former is equal to 1 and the latter to 0, according to (2.6)], it follows thatn→∞lim n+1
n = lim
n→∞
1+ 1
n
= lim
n→∞(1)+ lim
n→∞
1
n =1+0=1 as claimed in Example 8.
EXAMPLE 11 Find
n→∞lim
4n2−1 n2
Solution
We rewritean:an = 4n2−1
n2 =4− 1
n2 =4− 1 n· 1
n Since limn→∞4 and limn→∞n1 exist, we have
lim
n→∞
4n2−1 n2 = lim
n→∞
4− 1
n· 1 n
= lim
n→∞4−
lim
n→∞
1
n nlim→∞
1 n
=4−0·0=4
EXAMPLE 12 Without proof, we will state the long-term behavior of exponential growth. ForR>
0, exponential growth is given by
an =a0Rn,n=0,1,2, . . . Figure 2.12 indicates that
n→∞lim an =
⎧⎪
⎨
⎪⎩
0 if 0<R<1 a0 ifR=1
∞ ifR>1
an
a0
0
0 2 4 6
n
8 10 12
0 R 1 R 1 R 1
Figure 2.12 Exponential growth in Example 12 for three different values ofR.
This conclusion can also be shown rigorously by using the formal definition of limits.