3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given.

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Presentation transcript:

3 DIFFERENTIATION RULES

We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given by tables of values  Learned how to graph derivatives of functions that are defined graphically  Used the definition of a derivative to calculate the derivatives of functions defined by formulas DIFFERENTIATION RULES

These differentiation rules enable us to calculate with relative ease the derivatives of:  Polynomials  Rational functions  Algebraic functions  Exponential and logarithmic functions  Trigonometric and inverse trigonometric functions DIFFERENTIATION RULES

3.1 Derivatives of Polynomials and Exponential Functions In this section, we will learn: How to differentiate constant functions, power functions, polynomials, and exponential functions. DIFFERENTIATION RULES

Let’s start with the simplest of all functions—the constant function f(x) = c. CONSTANT FUNCTION

The graph of this function is the horizontal line y = c, which has slope 0.  So, we must have f’(x) = 0. CONSTANT FUNCTION

A formal proof—from the definition of a derivative—is also easy. CONSTANT FUNCTION

We next look at the functions f(x) = x n, where n is a positive integer. POWER FUNCTIONS

If n = 1, the graph of f(x) = x is the line y = x, which has slope 1. So,  You can also verify Equation 1 from the definition of a derivative. POWER FUNCTIONS Equation 1

We have already investigated the cases n = 2 and n = 3.  In fact, in Section 2.8, we found that: POWER FUNCTIONS Equation 2

For n = 4 we find the derivative of f(x) = x 4 as follows: POWER FUNCTIONS

If n is a positive integer, then POWER RULE

In finding the derivative of x 4, we had to expand (x + h) 4.  Here, we need to expand (x + h) n.  To do so, we use the Binomial Theorem—as follows. Proof 2 POWER RULE

 This is because every term except the first has h as a factor and therefore approaches 0. POWER RULE Proof 2

a.If f(x) = x 6, then f’(x) = 6x 5 b.If y = x 1000, then y’ = 1000x 999 c.If y = t 4, then d. = 3r 2 Example 1 POWER RULE

What about power functions with negative integer exponents?  In Exercise 61, we ask you to verify from the definition of a derivative that:  We can rewrite this equation as: NEGATIVE INTEGERS

What if the exponent is a fraction?  In Example 3 in Section 2.8, we found that:  This can be written as: FRACTIONS

If n is any real number, then POWER RULE—GENERAL VERSION

Differentiate: a. b.  In each case, we rewrite the function as a power of x. Example 2 POWER RULE

Since f(x) = x -2, we use the Power Rule with n = -2: Example 2 a POWER RULE

Example 2 b

It also enables us to find normal lines.  The normal line to a curve C at a point P is the line through P that is perpendicular to the tangent line at P.  In the study of optics, one needs to consider the angle between a light ray and the normal line to a lens. NORMAL LINES

Find equations of the tangent line and normal line to the curve at the point (1, 1). Illustrate by graphing the curve and these lines. Example 3 TANGENT AND NORMAL LINES

The derivative of is:  So, the slope of the tangent line at (1, 1) is:  Thus, an equation of the tangent line is: or Example 3 TANGENT LINE

The normal line is perpendicular to the tangent line.  So, its slope is the negative reciprocal of, that is.  Thus, an equation of the normal line is: or Example 3 NORMAL LINE

We graph the curve and its tangent line and normal line here. Example 3 TANGENT AND NORMAL LINES

If c is a constant and f is a differentiable function, then CONSTANT MULTIPLE RULE

Let g(x) = cf(x). Then, Proof CONSTANT MULTIPLE RULE

NEW DERIVATIVES FROM OLD Example 4

If f and g are both differentiable, then SUM RULE

Let F(x) = f(x) + g(x). Then, Proof SUM RULE

If f and g are both differentiable, then DIFFERENCE RULE

NEW DERIVATIVES FROM OLD Example 5

Find the points on the curve y = x 4 - 6x where the tangent line is horizontal. NEW DERIVATIVES FROM OLD Example 6

Horizontal tangents occur where the derivative is zero.  We have:  Thus, dy/dx = 0 if x = 0 or x 2 – 3 = 0, that is, x = ±. NEW DERIVATIVES FROM OLD Example 6

So, the given curve has horizontal tangents when x = 0,, and -.  The corresponding points are (0, 4), (, -5), and (-, -5). NEW DERIVATIVES FROM OLD Example 6

The equation of motion of a particle is s = 2t 3 - 5t 2 + 3t + 4, where s is measured in centimeters and t in seconds.  Find the acceleration as a function of time.  What is the acceleration after 2 seconds? NEW DERIVATIVES FROM OLD Example 7

The velocity and acceleration are: The acceleration after 2 seconds is: a(2) = 14 cm/s 2 NEW DERIVATIVES FROM OLD Example 7

Let’s try to compute the derivative of the exponential function f(x) = a x using the definition of a derivative: EXPONENTIAL FUNCTIONS

The factor a x doesn’t depend on h. So, we can take it in front of the limit: EXPONENTIAL FUNCTIONS

41 Calculating the derivative of g(x) = 2 x

42 Similar calculations show the following for other values of a:

Thus, we have: EXPONENTIAL FUNCTIONS Equation 5

Consider DEFINITION OF THE NUMBER e So it appears that.

Geometrically, this means that, of all the possible exponential functions y = a x, the function f(x) = e x is the one whose tangent line at (0, 1) has a slope f’(0) that is exactly 1. EXPONENTIAL FUNCTIONS

The derivative of the natural exponential function is: DERIV. OF NATURAL EXPONENTIAL FUNCTION

Thus, the exponential function f(x) = e x has the property that it is its own derivative.  The geometrical significance of this fact is that the slope of a tangent line to the curve y = e x is equal to the y coordinate of the point. EXPONENTIAL FUNCTIONS

If f(x) = e x - x, find f’. Compare the graphs of f and f’. EXPONENTIAL FUNCTIONS Example 8

The function f and its derivative f’ are graphed here.  Notice that f has a horizontal tangent when x = 0.  This corresponds to the fact that f’(0) = 0. EXPONENTIAL FUNCTIONS Example 8

Notice also that, for x > 0, f’(x) is positive and f is increasing. When x < 0, f’(x) is negative and f is decreasing. EXPONENTIAL FUNCTIONS Example 8