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Derivatives 2.6 and Rates of Change
2 
Average Rate of Change 
Function notation
3 
Derivatives - Definition
4 
Derivative – Slope of Tan Line 
Tangent line is the limiting position of the secant line PQ as 
Q approaches P.
5 
Tangents 
slope of the secant line PQ: 
Then we let Q approach P along the curve C by letting 
x approach a.
6 
Slope of Tangents
Tangents 
If h = x – a, then x = a + h and so the slope of the secant line 
PQ is 
7 
Figure 3
8 
Tangents 
as x a, h 0 (because h = x – a)
Example 1 – Finding an Equation of a Tangent 
Find an equation of the tangent line to the parabola y = x2 at 
the point P(1, 1). 
Solution: 
9
10 
Example 1 – Solution 
Using the point-slope form of the equation of a line, we find 
that an equation of the tangent line at (1, 1) is 
cont’d
11 
Derivative – Slope of Curve 
We sometimes refer to the slope of the tangent line to a 
curve at a point as the slope of the curve at the point. 
The idea is that if we zoom in far enough toward the point, 
the curve looks almost like a straight line. 
Figure 2 illustrates this procedure for the curve y = x2 in 
Example 1. 
Zooming in toward the point Figure 2 (1, 1) on the parabola y = x2
12 
Slope of a Curve - Example
13 
Velocities
14 
Velocities 
The average velocity over this time interval is 
which is the same as the slope of the secant line PQ in 
Figure 6. 
Figure 6
15 
Derivative as Velocity 
compute the average velocities over shorter and shorter 
time intervals [a, a + h]. 
instantaneous velocity = derivative of position
Example 3 – Velocity of a Falling Ball 
Suppose that a ball is dropped from the upper observation 
deck of the CN Tower, 450 m above the ground, using the 
equation of motion s = f (t) = 4.9t 
16 
2 
What is the velocity of the ball after 5 seconds? 
Solution:
17 
Speed 
The speed of the particle is the absolute value of the 
velocity, that is, | f ¢(a) |.
18 
Speed - Example
Derivative as Instantaneous Rate of 
Change 
19
Rates of Change 
This means that when the derivative is large (and therefore 
the curve is steep, as at the point P in Figure 9), the 
y-values change rapidly. 
When the derivative is small, the curve is relatively flat (as at 
point Q) and the y-values change slowly. 
20 
Figure 9 
The y-values are changing rapidly at P and slowly at Q.
Example 6 – Derivative of a Cost Function 
A manufacturer produces bolts of a fabric with a fixed width. 
The cost of producing x yards of this fabric is 
C = f (x) dollars. 
(a) What is the meaning of the derivative f ¢(x)? What are its 
21 
units? 
(b) In practical terms, what does it mean to say that 
f ¢(1000) = 9? 
(c) Which do you think is greater, f ¢(50) or f ¢(500)? 
What about f ¢(5000)?
22 
Example 6(a) – Solution 
The derivative f ¢(x) is the instantaneous rate of change of C 
with respect to x; that is, f ¢(x) means the rate of change of 
the production cost with respect to the number of yards 
produced. 
Because 
the units for f ¢(x) are the same as the units for the difference 
quotient DC/Dx. 
Since DC is measured in dollars and Dx in yards, it follows 
that the units for f ¢(x) are dollars per yard.
Example 6(b) – Solution 
The statement that f ¢(1000) = 9 means that, after 1000 
yards of fabric have been manufactured, the rate at which 
the production cost is increasing is $9/yard. (When x = 1000, 
C is increasing 9 times as fast as x.) 
cont’d 
Since Dx = 1 is small compared with x = 1000, we could use 
the approximation 
23 
and say that the cost of manufacturing the 1000th yard (or 
the 1001st) is about $9.
24 
Example 6(c) – Solution 
The rate at which the production cost is increasing 
(per yard) is probably lower when x = 500 than when x = 50 
(the cost of making the 500th yard is less than the cost of 
the 50th yard) because of economies of scale. (The 
manufacturer makes more efficient use of the fixed costs of 
production.) 
So 
f ¢(50) > f ¢(500) 
cont’d
25 
Example 6(c) – Solution 
But, as production expands, the resulting large-scale 
operation might become inefficient and there might be 
overtime costs. 
Thus it is possible that the rate of increase of costs will 
eventually start to rise. 
So it may happen that 
f ¢(5000) > f ¢(500) 
cont’d

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Lecture 7 Derivatives

  • 1. Derivatives 2.6 and Rates of Change
  • 2. 2 Average Rate of Change Function notation
  • 3. 3 Derivatives - Definition
  • 4. 4 Derivative – Slope of Tan Line Tangent line is the limiting position of the secant line PQ as Q approaches P.
  • 5. 5 Tangents slope of the secant line PQ: Then we let Q approach P along the curve C by letting x approach a.
  • 6. 6 Slope of Tangents
  • 7. Tangents If h = x – a, then x = a + h and so the slope of the secant line PQ is 7 Figure 3
  • 8. 8 Tangents as x a, h 0 (because h = x – a)
  • 9. Example 1 – Finding an Equation of a Tangent Find an equation of the tangent line to the parabola y = x2 at the point P(1, 1). Solution: 9
  • 10. 10 Example 1 – Solution Using the point-slope form of the equation of a line, we find that an equation of the tangent line at (1, 1) is cont’d
  • 11. 11 Derivative – Slope of Curve We sometimes refer to the slope of the tangent line to a curve at a point as the slope of the curve at the point. The idea is that if we zoom in far enough toward the point, the curve looks almost like a straight line. Figure 2 illustrates this procedure for the curve y = x2 in Example 1. Zooming in toward the point Figure 2 (1, 1) on the parabola y = x2
  • 12. 12 Slope of a Curve - Example
  • 14. 14 Velocities The average velocity over this time interval is which is the same as the slope of the secant line PQ in Figure 6. Figure 6
  • 15. 15 Derivative as Velocity compute the average velocities over shorter and shorter time intervals [a, a + h]. instantaneous velocity = derivative of position
  • 16. Example 3 – Velocity of a Falling Ball Suppose that a ball is dropped from the upper observation deck of the CN Tower, 450 m above the ground, using the equation of motion s = f (t) = 4.9t 16 2 What is the velocity of the ball after 5 seconds? Solution:
  • 17. 17 Speed The speed of the particle is the absolute value of the velocity, that is, | f ¢(a) |.
  • 18. 18 Speed - Example
  • 19. Derivative as Instantaneous Rate of Change 19
  • 20. Rates of Change This means that when the derivative is large (and therefore the curve is steep, as at the point P in Figure 9), the y-values change rapidly. When the derivative is small, the curve is relatively flat (as at point Q) and the y-values change slowly. 20 Figure 9 The y-values are changing rapidly at P and slowly at Q.
  • 21. Example 6 – Derivative of a Cost Function A manufacturer produces bolts of a fabric with a fixed width. The cost of producing x yards of this fabric is C = f (x) dollars. (a) What is the meaning of the derivative f ¢(x)? What are its 21 units? (b) In practical terms, what does it mean to say that f ¢(1000) = 9? (c) Which do you think is greater, f ¢(50) or f ¢(500)? What about f ¢(5000)?
  • 22. 22 Example 6(a) – Solution The derivative f ¢(x) is the instantaneous rate of change of C with respect to x; that is, f ¢(x) means the rate of change of the production cost with respect to the number of yards produced. Because the units for f ¢(x) are the same as the units for the difference quotient DC/Dx. Since DC is measured in dollars and Dx in yards, it follows that the units for f ¢(x) are dollars per yard.
  • 23. Example 6(b) – Solution The statement that f ¢(1000) = 9 means that, after 1000 yards of fabric have been manufactured, the rate at which the production cost is increasing is $9/yard. (When x = 1000, C is increasing 9 times as fast as x.) cont’d Since Dx = 1 is small compared with x = 1000, we could use the approximation 23 and say that the cost of manufacturing the 1000th yard (or the 1001st) is about $9.
  • 24. 24 Example 6(c) – Solution The rate at which the production cost is increasing (per yard) is probably lower when x = 500 than when x = 50 (the cost of making the 500th yard is less than the cost of the 50th yard) because of economies of scale. (The manufacturer makes more efficient use of the fixed costs of production.) So f ¢(50) > f ¢(500) cont’d
  • 25. 25 Example 6(c) – Solution But, as production expands, the resulting large-scale operation might become inefficient and there might be overtime costs. Thus it is possible that the rate of increase of costs will eventually start to rise. So it may happen that f ¢(5000) > f ¢(500) cont’d