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3
Derivatives
TMA1101 Calculus
For lecture session TC102 only
Faculty of Computing and Informatics
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Lecturer information
Chin Wen Cheong
FCI BR4012
Email: [email protected]
Phone: 03-83125249
Website: http://pesona.mmu.edu.my/~wcchin
Faculty of Computing and Informatics
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References
• Calculus by James Stewart
• or any texts with the title of CALCULUS
Faculty of Computing and Informatics
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3.1 Derivatives and Rates of Change
Derivatives and Rates of Change
The problem of finding the tangent line to a curve and the
problem of finding the velocity of an object both involve
finding the same type of limit.
This special type of limit is called a derivative and we will
see that it can be interpreted as a rate of change in any of
the sciences or engineering.
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Tangents
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Tangents
If mPQ approaches a number m, then we define the tangent
t to be the line through P with slope m. (This amounts to
saying that the tangent line is the limiting position of the
secant line PQ as Q approaches P. See Figure 1.)
Figure 1
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Tangents
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Example
Find an equation of the tangent line to the parabola y = x2
at the point P(1, 1).
Solution:
Here we have a = 1 and f(x) = x2, so the slope is
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Example
cont’d
Using the point-slope form of the equation of a line, we find
that an equation of the tangent line at (1, 1) is
y–1 =2
(x – 1)
or
y = 2x – 1
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Tangents
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 (1, 1) on the parabola y = x2
Figure 2
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Tangents
If h = x – a, then x = a + h and so the slope of the secant
line PQ is
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Derivatives
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Derivatives
If we write x = a + h, then we have h = x – a and h
approaches 0 if and only if x approaches a. Therefore an
equivalent way of stating the definition of the derivative, as
we saw in finding tangent lines, is
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Example
Using the definition of derivative to find the derivative of the
function f(x) = x2 – 8x + 9 at the number a.
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Example
f(x) = x2 – 8x + 9
Solution:
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Life is full of disappointment
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3.2
The Derivative as a Function
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The Derivative as a Function
We have considered the derivative of a function f at a fixed
number a:
Here we change our point of view and let the number a
vary. If we replace a in Equation 1 by a variable x, we
obtain
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Example 1 – Derivative of a Function given by a Graph
The graph of a function f is given in Figure 1. Use it to
sketch the graph of the derivative f ′.
Figure 1
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Example 1 – Solution
We can estimate the value of the derivative at any value of
x by drawing the tangent at the point (x, f(x)) and
estimating its slope. For instance, for x = 5 we draw the
tangent at P in Figure 2(a) and estimate its slope to be
about , so f ′(5) ≈ 1.5.
Figure 2(a)
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Other Notations
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Other Notations
If we use the traditional notation y = f(x) to indicate that the
independent variable is x and the dependent variable is y,
then some common alternative notations for the derivative
are as follows:
The symbols D and d/dx are called differentiation
operators because they indicate the operation of
differentiation, which is the process of calculating a
derivative.
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Other Notations
The symbol dy/dx, which was introduced by Leibniz, should
not be regarded as a ratio (for the time being); it is simply a
synonym for f ′(x). Nonetheless, it is a very useful and
suggestive notation, especially when used in conjunction
with increment notation.
We can rewrite the definition of derivative in Leibniz
notation in the form
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Other Notations
If we want to indicate the value of a derivative dy/dx in
Leibniz notation at a specific number a, we use the notation
which is a synonym for f ′(a).
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Example
Where is the function f(x) = |x| differentiable?
Solution:
If x > 0, then |x| = x and we can choose h small enough
that x + h > 0 and hence |x + h| = x + h.
Therefore, for x > 0, we have
and so f is differentiable for any x > 0.
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Example – Solution
cont’d
Similarly, for x < 0 we have |x| = –x and h can be chosen
small enough that x + h < 0 and so |x + h| = –(x + h).
Therefore, for x < 0,
and so f is differentiable for any x < 0.
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Example – Solution
cont’d
For x = 0 we have to investigate
Let’s compute the left and right limits separately:
and
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Example – Solution
cont’d
Since these limits are different, f ′(0) does not exist. Thus f
is differentiable at all x except 0.
A formula for f ′ is given by
and its graph is shown in Figure .
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Example – Solution
cont’d
The fact that f ′(0) does not exist is reflected geometrically
in the fact that the curve y = |x | does not have a tangent
line at (0, 0). [See Figure 5(a).]
Figure 5(a)
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Other Notations
Both continuity and differentiability are desirable properties
for a function to have. The following theorem shows how
these properties are related.
The converse of Theorem 4 is false; that is, there are
functions that are continuous but not differentiable.
Example: f(x) = |x|
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How Can a Function Fail to Be
Differentiable?
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How Can a Function Fail to Be Differentiable?
We saw that the function y = |x| is not differentiable at 0
and Figure 5(a) shows that its graph changes direction
abruptly when x = 0.
In general, if the graph of a
function f has a “corner” or “kink”
in it, then the graph of f has no
tangent at this point and f is not
differentiable there. [In trying to
compute f ′(a), we find that the
left and right limits are different.]
Figure 5(a)
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How Can a Function Fail to Be Differentiable?
Theorem 4 gives another way for a function not to have a
derivative. It says that if f is not continuous at a, then f is
not differentiable at a. So at any discontinuity (for instance,
a jump discontinuity) f fails to be differentiable.
A third possibility is that the curve has a vertical tangent
line when x = a; that is, f is continuous at a and
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How Can a Function Fail to Be Differentiable?
This means that the tangent lines become steeper and
steeper as x
a. Figure 6 shows one way that this can
happen; Figure 7(c) shows another.
Figure 6
Figure 7(c)
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How Can a Function Fail to Be Differentiable?
Figure 7 illustrates the three possibilities that we have
discussed.
Three ways for f not to be differentiable at a
Figure 7
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Higher Derivatives
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Higher Derivatives
If f is a differentiable function, then its derivative f ′ is also a
function, so f ′ may have a derivative of its own, denoted by
(f ′)′ = f ′′. This new function f ′′ is called the second
derivative of f because it is the derivative of the derivative
of f .
Using Leibniz notation, we write the second derivative of
y = f(x) as
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Example
If f(x) = x3 – x, find and interpret f ′′(x).
Solution:
The first derivative of f(x) = x3 – x is f ′(x) = 3x2 – 1.
So the second derivative is
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Example – Solution
cont’d
The graphs of f, f′, and f′′ are shown in Figure 10.
Figure 10
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Higher Derivatives
The instantaneous rate of change of velocity with respect to
time is called the acceleration a(t) of the object. Thus the
acceleration function is the derivative of the velocity
function and is therefore the second derivative of the
position function:
a(t) = v′(t) = s′′(t)
or, in Leibniz notation,
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Higher Derivatives
The third derivative f ′′′ is the derivative of the second
derivative: f ′′′ = (f ′′)′. So f′′′(x) can be interpreted as the
slope of the curve y = f ′′(x) or as the rate of change of f ′′(x).
If y = f(x), then alternative notations for the third derivative
are
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Higher Derivatives
The process can be continued. The fourth derivative f ′′′′ is
usually denoted by f (4).
In general, the nth derivative of f is denoted by f (n) and is
obtained from f by differentiating n times.
If y = f(x), we write
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3.3
Differentiation Formulas
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Differentiation Formulas
Let’s start with the simplest of all functions, the constant
function f(x) = c. The graph of this function is the horizontal
line y = c, which has slope 0, so we must have f(x) = 0.
The graph of f(x) = c is the line y = c, so f(x) = 0.
Figure 1
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Differentiation Formulas
A formal proof, from the definition of a derivative, is also
easy:
In Leibniz notation, we write this rule as follows.
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(b)Power Functions
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Power Functions
We next look at the functions f(x) = xn, where n is a positive
integer. If n = 1, the graph of f(x) = x is the line y = x, which
has slope 1.
The graph of f(x) = x is the line y = x, so f (x) = 1.
Figure 2
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Power Functions
So
We have already investigated the cases n = 2 and n = 3. In
fact, we found that
(x2) = 2x
(x3) = 3x2
(xn) = ?x?
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Power Functions
For n = 4 we find the derivative of f(x) = x4 as follows:
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Power Functions
Thus
(x4) = 4x3
Comparing the equations in , , and , we see a
pattern emerging. It seems to be a reasonable guess that,
when n is a positive integer, (ddx)(xn) = nx n–1.
This turns out to be true. We prove it in two ways; the
second proof uses the Binomial Theorem.
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Example 1
(a) If f(x) = x6, then f(x) = 6x5.
(b) If y = x1000, then y = 1000x999.
(c) If y = t 4, then
(d)
= 4t 3.
(r3) = 3r2
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New Derivatives from Old
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New Derivatives from Old
When new functions are formed from old functions by
addition, subtraction, or multiplication by a constant, their
derivatives can be calculated in terms of derivatives of the
old functions.
In particular, the following formula says that the derivative
of a constant times a function is the constant times the
derivative of the function.
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Example 2
(a)
(3x4) = 3
(x4)
= 3(4x3)
= 12x3
(b)
(–x) =
[(–1)x]
= (–1)
(x)
= –1(1)
= –1
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New Derivatives from Old
The next rule tells us that the derivative of a sum of
functions is the sum of the derivatives.
The Sum Rule can be extended to the sum of any number
of functions. For instance, using this theorem twice, we get
(f + g + h) = [(f + g) + h] = (f + g) + h = f + g + h
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New Derivatives from Old
By writing f – g as f + (–1)g and applying the Sum Rule and
the Constant Multiple Rule, we get the following formula.
The Constant Multiple Rule, the Sum Rule, and the
Difference Rule can be combined with the Power Rule to
differentiate any polynomial, as the following examples
demonstrate.
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Example 3
(x8 + 12x5 – 4x4 + 10x3 – 6x + 5)
=
(x8) + 12
(x5) – 4
(x4) + 10
(x3) – 6
(x) +
(5)
= 8x7 + 12(5x4) – 4(4x3) + 10(3x2) – 6(1) + 0
= 8x7 + 60x4 – 16x3 + 30x2 – 6
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New Derivatives from Old
Let f(x) = x and g(x) = x2.
Then the Power Rule gives
f(x) = 1 and g(x) = 2x. But (fg)(x) = x3, so
(fg)(x) = 3x2.
Thus
(fg)  fg.
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New Derivatives from Old
The correct formula was discovered by Leibniz and is
called the Product Rule.
In words, the Product Rule says that the derivative of a
product of two functions is the first function times the
derivative of the second function plus the second function
times the derivative of the first function.
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Example 6
Find F(x) if F(x) = (6x3)(7x4).
Solution:
By the Product Rule, we have
F(x) =
= (6x3)(28x3) + (7x4)(18x2)
= 168x6 + 126x6
= 294x6
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New Derivatives from Old
In words, the Quotient Rule says that the derivative of a
quotient is the denominator times the derivative of the
numerator minus the numerator times the derivative of the
denominator, all divided by the square of the denominator.
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Example 8
Let
. Then
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New Derivatives from Old
Note:
Don’t use the Quotient Rule every time you see a quotient.
Sometimes it’s easier to rewrite a quotient first to put it in a
form that is simpler for the purpose of differentiation.
For instance, although it is possible to differentiate the
function
F(x) =
using the Quotient Rule.
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New Derivatives from Old
It is much easier to perform the division first and write the
function as
F(x) = 3x + 2x –12
before differentiating.
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General Power Functions
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General Power Functions
The Quotient Rule can be used to extend the Power Rule
to the case where the exponent is a negative integer.
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Example 9
(a) If y =
, then
= –x –2
=
(b)
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General Power Functions
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Example 11
Differentiate the function f(t) =
(a + bt).
Solution 1:
Using the Product Rule, we have
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Example 11 – Solution 2
cont’d
If we first use the laws of exponents to rewrite f(t), then we
can proceed directly without using the Product Rule.
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General Power Functions
The differentiation rules enable us to find tangent lines
without having to resort to the definition of a derivative.
They also enable us to find normal lines.
The normal line to a curve C at point P is the line through
P that is perpendicular to the tangent line at P.
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Example 12
Find equations of the tangent line and normal line to the
curve
y = (1 + x2) at the point (1, ).
Solution:
According to the Quotient Rule, we have
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Example 12 – Solution
cont’d
So the slope of the tangent line at (1, ) is
We use the point-slope form to write an equation of the
tangent line at (1, ):
y–
= – (x – 1)
or
y=
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Example 12 – Solution
cont’d
The slope of the normal line at (1, ) is the negative
reciprocal of
, namely 4, so an equation is
y–
= 4(x – 1)
or
y = 4x –
The curve and its tangent and normal lines are graphed in
Figure 5.
Figure 5
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General Power Functions
summary
Table of Differentiation Formulas
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3.4
Derivatives of Trigonometric
Functions
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Derivatives of Trigonometric Functions
So we have proved the formula for the derivative of the
sine function:
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Example 1
Differentiate y = x2 sin x.
Solution:
Using the Product Rule and Formula 4, we have
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Derivatives of Trigonometric Functions
Using the same methods as in the proof of Formula 4, one
can prove that
The tangent function can also be differentiated by using the
definition of a derivative, but it is easier to use the Quotient
Rule together with Formulas 4 and 5:
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Derivatives of Trigonometric Functions
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Derivatives of Trigonometric Functions
The derivatives of the remaining trigonometric functions,
csc, sec, and cot, can also be found easily using the
Quotient Rule.
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Derivatives of Trigonometric Functions
We collect all the differentiation formulas for trigonometric
functions in the following table. Remember that they are
valid only when x is measured in radians.
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3.5
The Chain Rule
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The Chain Rule
Observe that F is a composite function. In fact, if we let
y = f (u) =
and let u = g(x) = x2 + 1, then we can write
y = F (x) = f (g(x)), that is, F = f  g.
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The Chain Rule
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The Chain Rule
The Chain Rule can be written either in the prime notation
(f  g)(x) = f(g(x))  g(x)
or, if y = f(u) and u = g(x), in Leibniz notation:
Equation 3 is easy to remember because if dy/du and du/dx
were quotients, then we could cancel du.
Remember, however, that du has not been defined and
du/dx should not be thought of as an actual quotient.
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Example 1: using composition
Find F'(x) if F(x) =
.
Solution 1:
(Using Equation 2): We have expressed F as
F(x) = (f  g)(x) = f(g(x)) where f(u) =
and g(x) = x2 + 1.
Since
and g(x) = 2x
we have
F(x) = f(g(x))  g(x)
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Example 1 – find u
(Using Equation 3): If we let u = x2 + 1 and y =
cont’d
, then
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The Chain Rule
When using Formula 3 we should bear in mind that dy/dx
refers to the derivative of y when y is considered as a
function of x (called the derivative of y with respect to x),
whereas dy/du refers to the derivative of y when
considered as a function of u (the derivative of y with
respect to u). For instance, in Example 1, y can be
considered as a function of x (y =
) and also as a
function of u (y =
).
Note that
whereas
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The Chain Rule
In general, if y = sin u, where u is a differentiable function of
x, then, by the Chain Rule,
Thus
In a similar fashion, all of the formulas for differentiating
trigonometric functions can be combined with the Chain
Rule.
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The Chain Rule
Let’s make explicit the special case of the Chain Rule
where the outer function f is a power function.
If y = [g(x)]n, then we can write y = f(u) = un where u = g(x).
By using the Chain Rule and then the Power Rule, we get
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Example 3
Differentiate y = (x3 – 1)100.
Solution:
Taking u = g(x) = x3 – 1 and n = 100 in
=
, we have
(x3 – 1)100
= 100(x3 – 1)99
(x3 – 1)
= 100(x3 – 1)99  3x2
= 300x2(x3 – 1)99
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Example 4
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Example 5
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Example 6
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3.6
Implicit Differentiation
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Implicit Differentiation
The functions that we have met so far can be described by
expressing one variable explicitly in terms of another
variable—for example,
y=
or y = x sin x
or, in general, y = f(x).
Some functions, however, are defined implicitly by a
relation between x and y such as
x2 + y2 = 25
or
x3 + y3 = 6xy
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Implicit Differentiation
In some cases it is possible to solve such an equation for y
as an explicit function (or several functions) of x.
For instance, if we solve Equation 1 for y, we get
y=
, so two of the functions determined by the
implicit Equation 1 are f(x) =
and g(x) =
.
The graphs of f and g are the upper and lower semicircles
of the circle x2 + y2 = 25. (See Figure 1.)
Figure 1
100
Implicit Differentiation
It’s not easy to solve Equation 2 for y explicitly as a function
of x by hand. (A computer algebra system has no trouble,
but the expressions it obtains are very complicated.)
Nonetheless, (2) is the equation of a curve called the
folium of Descartes shown in Figure 2 and it implicitly
defines y as several functions of x.
The folium of Descartes
Figure 2
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Implicit Differentiation
The graphs of three such functions are shown in Figure 3.
Graphs of three functions defined by the folium of Descartes
Figure 3
When we say that f is a function defined implicitly by
Equation 2, we mean that the equation
x3 + [f(x)]3 = 6xf(x)
is true for all values of x in the domain of f.
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Implicit Differentiation
Fortunately, we don’t need to solve an equation for y in
terms of x in order to find the derivative of y. Instead we
can use the method of implicit differentiation.
This consists of differentiating both sides of the equation
with respect to x and then solving the resulting equation
for y'.
In the examples and exercises of this section it is always
assumed that the given equation determines y implicitly as
a differentiable function of x so that the method of implicit
differentiation can be applied.
103
Example 1
(a) If x2 + y2 = 25, find
.
(b) Find an equation of the tangent to the circle x2 + y2 = 25
at the point (3, 4).
Solution 1:
(a) Differentiate both sides of the equation x2 + y2 = 25:
104
Example 1 – Solution
cont’d
Remembering that y is a function of x and using the Chain
Rule, we have
Thus
Now we solve this equation for dy/dx:
105
Example 1 – Solution
cont’d
(b) At the point (3, 4) we have x = 3 and y = 4, so
An equation of the tangent to the circle at (3, 4) is therefore
y–4=
(x – 3)
or
3x + 4y = 25
Solution 2:
(b) Solving the equation x2 + y2 = 25, we get y =
.
The point (3, 4) lies on the upper semicircle y =
and so we consider the function f(x) =
.
106
Example 1 – Solution
cont’d
Differentiating f using the Chain Rule, we have
So
and, as in Solution 1, an equation of the tangent is
3x + 4y = 25.
107
Example 2
108
Example 3
109
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