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The concept of instantaneous rates of change and introduces the derivative as a way to find the instantaneous velocity or slope of a function at a given point. It covers the definition of the derivative, the calculation of difference quotients, and the geometric significance of the derivative as the slope of the tangent line to the graph of a function. Examples are provided to illustrate the concepts.
What you will learn
Typology: Lecture notes
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Recall that the average rate of change of a function y = f (x) on an interval from x 1 to x 2 is just the ratio of the change in y to the change in x: ∆y ∆x
f (x 2 ) − f (x 1 ) x 2 − x 1
For example, if f measures distance traveled with respect to time x, then this average rate of change is the average velocity over that interval. But that leaves us with the question of what is the in- stantaneous velocity at some moment x 0 , the velocity that the speedometer in a car is claimed to give us? The answer is in some sense quite easy to give: The instanta- neous rate of change of the function y = f (x) at the point x 0 in its domain is:
xlim→x 0
∆y ∆x = lim x→x 0
f (x 0 ) − f (x) x 0 − x
provided this limit exists.
Example 1. Let f (x) = 1/x and let’s find the instantaneous rate of change of f at x 0 = 2. The first step is to compute the average rate of change over some interval x 0 = 2 to x; and in order for this to make sense we need x 6 = 2. So that average rate of change is
∆y ∆x
f (2) − f (x) 2 − x
x
2 − x
x − 2 2 x(2 − x)
2 x
Thus, the instantaneous rate of change at x 0 = 2 is
lim x→ 2
∆y ∆x
= lim x→ 2
2 x
The instantaneous rate of change at some point x 0 = a involves first the average rate of change from a to some other value x. So if we set h = a − x, then h 6 = 0 and the average rate of change from x = a + h to x = a is ∆y ∆x
f (x) − f (a) x − a
f (a + h) − f (a) h
stantaneous rate of change of f at x = a is the limit, if it exists,
lim h→ 0
f (a + h) − f (a) h
This has a brief official name:
f ′(a) is
f ′(a) = lim h→ 0
f (a + h) − f (a) h
the instantaneous rate of change of f at a, if it exists.
Example 2. Let’s calculate the derivative of f (x) = x^2 at x = 3. From the above definition we have
f ′(3) = lim h→ 0
f (3 + h) − f (3) h = lim h→ 0
(3 + h)^2 − 32 h = lim h→ 0
9 + 6h + h^2 − 9 h
= lim h→ 0
6 h + h^2 h = lim h→ 0 (6 + h) = 6.
the point (a, f (a)), and the punch line is
The slope of the line tangent to the graph y = f (x) at the point (a, f (a)) is the derivative
f ′(a) = lim h→ 0
f (a + h) − f (a) h
of y = f (x) at (a, f (a)), if it exists.
Example 3. We saw in Example 2 that the derivative of f (x) = x^2 at x = 3 is f ′(3) = 6, so the line tangent to the parabola y = x^2 at the point (3, f (3)) = (3, 9) is
y = 6(x − 3) + 9 = 6x − 9.
Example 4. Next let’s look at a case where there is no derivative and no tangent line. Consider the function f (x) = |x| and let’s see what, if anything, its derivative is at x = 0. Remember
|x| =
x, if x ≥ 0; −x, if x < 0.
So the appropriate difference quotient at x = 0 is
∆y ∆x
|0 + h| − | 0 | h
|h| h
1 , if h > 0; − 1 , if h < 0.
But
lim h→ 0
|h| h simply does not exist! So at x = 0 the function f (x) = |x| has no derivative and the graph of y = |x| has no tangent at x = 0 — something that is quite clear from a glance at the graph!
Most of the functions we will encounter will have derivatives at most points in their domains. Generally speaking, derivatives will exist at points on the graph where the function is continuous and there is no sharp corner (as in the absolute value function). There are some pretty nasty functions out there with quite bizarre behavior, but fortunately, we won’t have to deal with them here!
So, let y = f (x) be one of our reasonably nice functions with derivatives at most points in its domain. Then at each such point there is a derivative, and hence there is a new function that assigns to each such nice point x in the domain of f a value, f ′(x). Not sur-
Thus,
is the function defined by
f ′(x) = lim h→ 0
f (x + h) − f (x) h
So the derivative f ′(x) of a function y = f (x) spews out the slope of the tangent to the graph y = f (x) at each x in the domain of f where there is a tangent line. One thing we will have to deal with is that there is quite a variety of notational versions of the derivative of a function y = f (x). Here are the ones we are most likely to meet:
f ′(x),
d dx
f,
d dx
f (x),
df dx
dy dx
Practice Problems.
x at the point (4, 2).