Chapter 1: Limits
Section 1.1: Naive Limits
|
Example 1.1.2
|
|
Using a graph and a table of values, estimate , where .
|
|
|
|
Solution
|
|
•
|
Control-drag (or type) the equation
|
•
|
Context Panel: Assign Function
|
|
|
•
|
From the graph of in Figure 1.1.2(a), one might conclude that .
|
•
|
This conclusion might be reinforced by the data in Table 1.1.2(a) where it appears that as approaches zero from either side, the values of seem to tend towards zero.
|
|
|
Figure 1.1.2(a) Graph of on the interval
|
|
|
|
>
|
a := 0:
H := [ 1.0, 0.5, 0.1, 0.01 ]:
xL := [seq( a-h, h=H )]:
xR := [seq( a+h, h=H )]:
header := < `x` | `g(x)` >,
< `_____` | `_______________` >:
bodyL := seq( < X | g(X) >, X= a-H ):
tableL := < header, bodyL >:
bodyR := seq( < X | g(X) >, X= a+H ):
tableR := < header, bodyR >:
tableL, tableR;
|
|
Table 1.1.2(a) Numeric estimate of
|
|
|
|
•
|
Expression palette: Limit operator
|
•
|
Context Panel: Evaluate and Display Inline
|
|
=
|
•
|
Applying Maple's limit operator to shows that the actual limit as is not zero, but a small positive number.
|
•
|
The graph of in Figure 1.1.2(b), drawn on a smaller interval about , also shows that the limit is not zero, but the small positive number .
|
•
|
Table 1.1.2(b) evaluates at points closer to .
|
|
|
Figure 1.1.2(b) Graph of
|
|
|
|
>
|
a := 0:
H := [0.01,.001,.0001,.00001,.000001 ]:
xL := [seq( a-h, h=H )]:
xR := [seq( a+h, h=H )]:
header := < `x` | `g(x)` >,
< `_____` | `_______________` >:
bodyL := seq( < X | g(X) >, X= a-H ):
tableL := < header, bodyL >:
bodyR := seq( < X | g(X) >, X= a+H ):
tableR := < header, bodyR >:
tableL, tableR;
|
|
Table 1.1.2(b) Finer table of values for near
|
|
|
|
|
|
Based on Figure 1.1.2(a) and Table 1.1.2(a), one might conclude that . Applying Maple's built-in limit operator shows that the limit is actually the small positive number . The potential for error in relying solely on graphs and tables is significant. However, Figure 1.1.2(b) and Table 1.1.2(b) do show that with proper care and attention, it is possible to deduce the value of a limit from a graph or table of values. But it is well worth learning the more efficient analytic methods of calculus.
|
|
<< Previous Example Section 1.1
Next Example >>
© Maplesoft, a division of Waterloo Maple Inc., 2024. All rights reserved. This product is protected by copyright and distributed under licenses restricting its use, copying, distribution, and decompilation.
For more information on Maplesoft products and services, visit www.maplesoft.com
|