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Mathematics LibreTexts

2.1: Derivatives

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We are now ready to explain what is meant by the slope of a curve or the velocity of a moving point. Consider a real function f and a real number a in the domain of f. When x has value a, f(x) has value f(a). Now suppose the value of x is changed from a to a hyperreal number a+Δx which is infinitely close to but not equal to a. Then the new value of f(x) will be f(a+Δx). In this process the value of x will be changed by a nonzero infinitesimal amount x,  while the value of f(x) will be changed by the amount f(a+Δx)f(a).

The ratio of the change in the value of f(x) to the change in the value of x is f(a+Δx)f(a)Δx.

This ratio is used in the definition of the slope of f which we now give.

Definition:

S is said to be the slope of f at a if S=st(f(a+Δx)f(a)Δx)for every nonzero infinitesimal Δx.

The slope, when it exists, is infinitely close to the ratio of the change in f(x) to an infinitely small change in x. Given a curve y=f(x), the slope of f at a is also
called the slope of the curve y=f(x) at x=a. Figure 2.1.1 shows a nonzero infinitesimal Δx and a hyperreal straight line through the two points on the curve at a and a+Δx. The quantity f(a+Δx)f(a)Δx is the slope of this line, and its standard part is the slope of the curve.

Curve of a function f(x) with a hyperreal straight line passing through the curve points of a and a + Delta x.
Figure 2.1.1: Hyperreal straight line through a curve.

The slope of f at a does not always exist. Here is a list of all the possibilities.

  1. The slope of f at a exists if the ratio f(a+Δx)f(a)Δx is finite and has the same standard part for all infinitesimal Δx0. It has the value S=st(f(a+Δx)f(a)Δx).
  2. The slope of f at a can fail to exist in any of four ways:
    1. f(a) is undefined.
    2. f(a+Δx) is undefined for some infinitesimal Δx0.
    3. The term f(a+Δx)f(a)Δx is infinite for some infinitesimal Δx0.
    4. The term f(a+Δx)f(a)Δx has different standard parts for different infinitesimals Δx0.

We can consider the slope of f at any point x, which gives us a new function of x.

Definition:

Let f be a real function of one variable. The derivative of f is the new function f whose value at x is the slope of f at x. In symbols, f(x)=st(f(x+Δx)f(x)Δx)whenever the slope exists.

The derivative f(x) is undefined if the slope of f does not exist at x.

For a given point a, the slope of f at a and the derivative of f at a are the same thing. We usually use the word "slope" to emphasize the geometric picture and
"derivative" to emphasize the fact that f is a function.

The process of finding the derivative of f is called differentiation. We say that f is differentiable at a if f(a) is defined; i.e., the slope of f at a exists.

Independent and dependent variables are useful in the study of derivatives. Let us briefly review what they are. A system of formulas is a finite set of equations and inequalities. If we are given a system of formulas which has the same graph as a simple equation y=f(x), we say that y is a function of x, or that y depends on x, and we call x the independent variable and y the dependent variable.

When y=f(x), we introduce a new independent variable Δx and a new dependent variable Δy, with the equation Δy=f(x+Δx)f(x).

This equation determines Δy as a real function of the two variables x and Δx, when x and Δx vary over the real numbers. We shall usually want to use the Equation (2.1.1) for Δy when x is a real number and Δx is a nonzero infinitesimal. The Transfer Principle implies that Equation (2.1.1) also determines Δy as a hyperreal function of two variables when x and Δx are allowed to vary over the hyperreal numbers.

Δy is called the increment of y. Geometrically, the increment Δy is the change in y along the curve corresponding to the change Δx in x. The symbol y is sometimes used for the derivative, y=f(x). Thus the hyperreal equation f(x)=st(f(x+Δx)f(x)Δx)now takes the short form y=st(ΔyΔx)

The infinitesimal Δx may be either positive or negative, but not zero. The various possibilities are illustrated in Figure 2.1.2 using an infinitesimal microscope. The signs of Δx and Δy are indicated in the captions.

Infinitesimal microscopic views of hyperreal straight lines through different points on a single curve. Six views show the different possibilities of positive or negative infinitesimal changes in x and positive, negative or zero changes in y.
Figure 2.1.2: The possibilities of Δx and Δy combinations.

Our rules for standard parts can be used in many cases to find the derivative of a function. There are two parts to the problem of finding the derivative f of a function f:

  1. Find the domain of f.
  2. Find the value of f(x) when it is defined.
Example 2.1.1

Find the derivative of the function f(x)=x3.

Solution

In this and the following examples we let x vary over the real numbers and Δx vary over the nonzero infinitesimals. Let us introduce the new variable y with the equation y=x3. We first find Δy/Δx.

y=x3,y+Δy=(x+Δx)3,Δy=(x+Δx)3x3,ΔyΔx=(x+Δx)3x3Δx.

Next we simplify the expression for Δy/Δx.

ΔyΔx=(x3+3x2Δx+3x(Δx)2+(Δx)3)x3Δx=3x2Δx+3x(Δx)2+(Δx)3Δx=3x2+3xΔx+(Δx)2.

Then we take the standard part, st(ΔyΔx)=st(3x2+3xΔx+(Δx)2)=st(3x2)+st(3xΔx)+st((Δx)2)=3x2+0+0.

Therefore, f(x)=st(ΔyΔx)=3x2.

We have shown that the derivative of the function f(x)=x3is the function f(x)=3x2 with the whole real line as domain. f(x) and f(x) are shown in Figure 2.1.3.

Graphs of the cube function and its derivative.
Figure 2.1.3: Graphs of y=x3 and y=3x2.
Example 2.1.2

Find f(x) given f(x)=x.

Solution

Case 1: x<0

Since x is not defined, f(x) does not exist.

Case 2: x=0

When Δx is a negative infinitesimal, the term x+ΔxxΔx=0+Δx0Δx is not defined because Δx is undefined. When Δx is a positive infinitesimal, the term x+ΔxxΔx=ΔxΔx=1Δxis defined but its value is infinite. Thus for two reasons, f(x) does not exist.

Case 3: x>0

Let y=x. Then y+Δy=x+Δx,Δy=x+Δxx,ΔyΔx=x+ΔxxΔx.

We then make the computation ΔyΔx=(x+Δxx)Δx(x+Δx+x)(x+Δx+x)=(x+Δx)xΔx(x+Δx+Δx)=ΔxΔx(x+Δx+x)=1x+Δx+x.

Taking standard parts, st(ΔyΔx)=st(1x+Δx+x)=1st(x+Δx+x)=1st(x+Δx)+st(x)=1x+x=12x.

Therefore, when x>0, f(x)=12x.

So, the derivative of f(x)=x is the function f(x)=12x, and the set of all x>0 is its domain (see Figure 2.1.4.

Graphs of the square root function and its derivative.
Figure 2.1.4: Graphs of y=x and y=12x.
Example 2.1.3

Find the derivative of f(x)=1/x

Solution

Case 1: x=0

Then 1/x is undefined so f(x) is undefined.

Case 2: x0

y=1/x,y+Δy=1x+Δx,Δy=1x+Δx1x,ΔyΔx=1/(x+Δx)1/xΔx.

Simplifying, 1/(x+Δx)1/xΔx=x(x+Δx)x(x+Δx)Δx=Δxx(x+Δx)Δx=1x+Δx

Taking the standard part, st((ΔyΔx)=st(1x(x+Δx))=1st(x(x+Δx))=1st(x)st(x+Δx)=1xx=1x2.

Thus, f(x)=1x2.

The derivative of the function f(x)=1/x is the function f(x)=1/x2 whose domain is the set of all x0. Both functions are graphed in Figure 2.1.5.

Graph of the reciprocal function and its derivative.
Figure 2.1.5: Graph of y=1x and y=1x2.
Example 2.1.4

Find the derivative of f(x)=|x|.

Solution

Case 1 x>0.

In this case |x|=x, and we have y=x,y+Δy=x+Δx,Δy=Δx,ΔyΔx=1,f(x)=1.

Case 2: x<0.

Now |x|=x, and y=x,y+Δy=(x+Δx),Δy=(x+Δx)(Δx)=Δx,ΔyΔx=ΔxΔx=1,f(x)=1.

Case 3: x=0.

Then y=0,y+Δy=|0+Δx|=|Δx|,Δy=|Δx|,ΔyΔx=|Δx|Δx={1if Δx>0,1if Δx<0.

The standard part of Δy/Δx is then 1 for some values of Δx and 1 for others. Therefore f(x) does not exist when x=0.

In summary, f(x)={1if x>0,1if x<0,undefinedif x=0

Figure 2.1.6 shows f(x) and f(x).

Graph of the absolute value function and its derivative.
Figure 2.1.6: Graph of y=|x| and its derivative.

The derivative has a variety of applications to the physical, life, and social sciences. It may come up in one of the following contexts.

Velocity: If an object moves according to the equation s=f(t) where t is time and s is distance, the derivative v=f(t) is called the velocity of the object at
time t.

Growth rates: A population y (of people, bacteria, molecules, etc.) grows according to the equation y=f(t) where t is time. Then the derivative y=f(t) is
the rate of growth of the population y at time t.

Marginal values (economics): Suppose the total cost (or profit, etc.) of producing x items is y=f(x) dollars. Then the cost of making one additional item is approximately the derivative y=f(x) because y is the change in y per unit change in x. This derivative is called the marginal cost.

Example 2.1.5

A ball thrown upward with initial velocity b ft per sec will be at a height y=bt16t2feet after t seconds. Find the velocity at time t. Let t be real and Δt0, infinitesimal.

Solution

y+Δy=b(t+Δt)16(t+Δt)2,Δy=[b(t+Δt)16(t+Δt)2][bt16t2],ΔyΔt=[b(t+Δt)16(t+Δt)2][bt16t2]Δt=bΔt32tΔt16(Δt)2Δt=b32t16Δt.

At time t sec, v=y=b32 ft/sec.

Both functions are graphed in Figure 2.1.7.

Graph of a ball's height y as a function of time, and graph of the ball's velocity.
Figure 2.1.7: Graph of a ball's height y=bt16t2 and its vertical velocity v=b32t.
Example 2.1.6

Suppose a bacterial culture grows in such a way that at time t there are t3 bacteria. Find the rate of growth at time t=1000 sec.

Solution

y=t3,y=3t2 by Example 2.1.1.

At t=1000 sec, y=3,000,000 bacteria/sec.

Example 2.1.7

Suppose the cost of making x needles is x dollars. What is the marginal cost after 10,000 needles have been made?

Solution

y=x,y=12x by Example 2.1.2.

At x=10,000, y=1210,000=1200 dollars per needle.

Thus the marginal cost is one half of a cent per needle.

Problems for Section 2.1

Find the derivative of the given function in Problems 1-21.

1. f(x)=x2 2. f(t)=t2+3
3. f(x)=12x2 4. f(x)=3x2
5. f(t)=4t 6. f(x)=25x
7. f(t)=4t3 8. f(t)=t3
9. f(u)=5u 10. f(u)=u+2
11. g(x)=xx 12. g(x)=1/x
13. g(t)=t2 14. g(t)=t3
15. f(y)=3y1+4y 16. f(y)=2y3+4y2
17. f(x)=ax+b 18. f(x)=ax2
19. f(x)=ax+b 20. f(x)=1/(x+2)
21. f(x)=1/(32x)    
22. Find the derivative of f(x)=2x2 at the point x=3.
23. Find the slope of the curve f(x)=x1 at the point x=5.
24. An object moves according to the equation y=1/(t+2)t0. Find the velocity as a function of t.
25. A particle moves according to the equation y=t4. Find the velocity as a function of t.
26. Suppose the population of a town grows according to the equation y=100t+t2. Find the rate of growth at time t=100 years.
27. Suppose a company makes a total profit of 1000xx2 dollars on x items. Find the marginal profit in dollars per item when x=200x=500, and x=1000.
28. Find the derivative of the function f(x)=|x+1|.
29. Find the derivative of the function f(x)=|x3|.
30. Find the slope of the parabola y=ax2+bx+c where abc are constants.

This page titled 2.1: Derivatives is shared under a CC BY-NC-SA 3.0 license and was authored, remixed, and/or curated by H. Jerome Keisler.

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