3.1
3.1.1Chapter Plan
3.2.1Functions with Kinks and Jumps
3.2.2Continuous, But Not Smooth
3.3
Section Summary
The goal of this section is to numerically and symbolically calculate the error of deviation from straightness in microscopic views of graphs.
As a warm up to magnifying graphs, think about this question: If you magnify a segment by one million and it appears to be 1 cm long, how long is it? We need a general formula to answer this kind of question so that we can predict when sufficient magnification will make a graph appear linear. We begin with some numerics to help present the idea.
3.3.1We begin by magnifying the graph of y=x3 at the pointThree Specific Magnifications
Example CD-3.1
Magnification of
at x=3/4
The graph in Figure CD-3.1 at the left has 1 cm for each unit.
The graph at the right is magnified by 2 so 1 cm equals 1/2 unit.
Points are indicated at (x,y)=(3/4,27/64) or (dx,dy)=(0,0), and above
.
The graph in Figure CD-3.2 at the left has 1 cm for each unit.
The graph at the right is magnified by 4 so 1 cm equals 1/4 unit.
Points are indicated at (x,y)=(3/4,27/64) or (dx,dy)=(0,0), and above
.
The graph Figure CD-3.3 at the left has 1 cm for each unit.
The graph at the right is magnified by 8 so 1 cm equals 1/8 unit.
Points are indicated at (x,y)=(3/4,27/64) or (dx,dy)=(0,0), and above
.
We are interested in the gap between the curve and the straight line in the last microscopic view (where the change in x was dx=1/8.) We will call the amount we measure (in cm) in the microscopic view "epsilon," , greek "E" (for error). In this example, we want to know
(1) How big is
(in cm) in the microscopic view?
(2) How big is the gap in original unmagnified coordinates?Remember that if we magnify by one million and see 1 cm on the microscopic image, we actually have an error of 10-6 cm, one one millionth of the apparent error.
The actual distance from the dx-axis, where y=f[x]=f[3/4]=27/64, to the point on the curve above
is given by the difference,
Finally, we want to compare the difference between these vertical distances.
Figure CD-3.5 shows the nonlinear and linear graphs at magnification 8 and shows a small segment connecting the linear graph to the nonlinear one above
. The actual length of the vertical segment connecting the (dx,dy)-point on the tangent with the (x,y)-point on the curve is the difference between these two values
The error magnified by 8 (as shown) measures
In the following exercises, draw the sketches accurately on good graph paper. Be careful about the method you use to calculate your results so you are connecting numerics, symbolics, and graphics. You can use the computers if you wish, but you will still need to do algebra.
If you magnify by
, so that a segment of length
appears to be unit size, and you observe another segment of apparent length
, the actual length of the unmagnified segment is
. The first exercise tries to help you understand this formula.
Your result from Exercise CD-3.3.2 should look something like the Figure CD-3.6. Compare your work to the computer animation in the program SecantGapZ.
3.3.2Now we help you find the formula that expresses the quantities we see in a microscopic view of an unknown function y=f[x] when magnified by an arbitraryThe General Gap
Figure CD-3.7 is a sketch of a general function y=f[x] with 1unit=1cm. A pair of local coordinate (dx,dy)-axes is centered on the graph over a fixed point x. A line in local coordinates dy=mdx is shown in grey.
On the right, an image of these graphs is shown magnified by
, so that the small number
appears unit size.
Since we magnify by an amount that makes
appear 1 cm in size, if we measure a distance
in the microscopic image, the actual size is really
. (Check this formula intuitively when
. We magnify by one million and see a gap of 0.3, for example, but it is really only a gap of 0.3/1000000.)
Problem CD-3.1
Symbolic Magnification for an Unknown y=f[x]
Explain the following statements about Figure CD-3.7:
- 1. The vertical distance from the dx-axis up to the curve is
but the magnified view of this vertical segment measures
- 2. The vertical distance from the dx-axis up to the line dy=mdx above the point
is
but the magnified view of this vertical segment measures
- 3. The magnified gap
measures
but the actual change in the function as x moves tois
Section Summary
The following formula for the change in a general function
gives the gapone would measure at magnification
between a straight line of slope f'[x] and the curve as we move from x to
.
The condition for local linearity of a graph y=f[x] is that the magnified error gap between the curve and line is small,
, when the magnification is large.
In other words, if the local change in x,
, then the MAGNIFIED change along the curve is
-close to the change along the line. (The lowercase [small] Greek delta ,
, indicates intuitively that the difference in x is a very small amount.)
When the gap is small for
, the slope of the local linear approximation, f'[x], is called the "derivative." This is what we saw in the examples and exercises of the last section:
The condition of (uniform) "tangency" is expressed by the microscopic error formula
The approximation
means that a microscopic view of a tiny piece of the graph y=f[x] looks the same as the linear graph
on the scale of
. This looks like
When we say f'[x] is the derivative of f[x], we mean that this local approximation is valid,
when
, or
as
.
Chapter 5 is devoted to symbolic computations of the gap
and symbolic ways to show that it becomes small when
is small.
This is easy to verify in the case of y=x3.
We expand
Show that no matter what magnification, we always have
above the point that appears to be one unit to away from the intersection. (Do this by writing f[x] and f'[x] explicitly in the microscope equation and solving for
.)
Problem CD-3.2
The graph of the function
is actually two half lines meeting at the point (1,1).
![]()
Figure CD-3.11:near (x,y)=(1,1)
To the right, the line has slope
, and to the left it has slope
. There is no tangent line at this point because the "gap" does not go to zero. (Rules of differentiation from Chapter 6 applied to this formula give a formula that is not defined at x=1.)
We want to magnify this graph at (1,1) anyway and compare it with the "best" local linear approximation we can make. Since the slopes average out to slope 1, compute the gap between this function and the line dy=dx.
Begin with several numerical cases. Let x=1 and calculate
in the equation
for. (ANS:
)
Graph the function and the line dy=dx on the same axes for the scales in the previous part of the problem and show that the gap remains the same size at all these scales. Magnifying the graph never makes y=f[x] appear linear and never makes the gap between y=f[x] and dy=dx get smaller.
3.5.1CO2 Data
3.5.2A Project on Functional Linearity
3.5.3A Project on Functional Identities