SlideShare a Scribd company logo
1 of 87
Derivatives and Graphs
Derivatives and Graphs 
Interval Notation 
We use “(” and “)” to indicate the corresponding point is 
excluded and we use “[” and “]” to for the inclusion of the point. 
a < x < b 
(a, b) 
a b 
a closed interval: 
a ≤ x ≤ b 
a b 
a ≤ x < b 
a [a, b) b 
[a, b] 
a < x ≤ b 
a b 
(a, b] 
For the unbounded intervals, use “(” or “) for ±∞, 
for example, “(–∞, a] or (a, ∞) are the following intervals. 
x < a 
(–∞, a] a 
–∞ 
a < x 
a ∞ 
an open interval: 
half–open intervals:
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x).
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”.
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I 
y = f(x) 
) 
I 
(
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
y = f(x) 
(x, f(x)) 
I 
( )
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
y = f(x) 
(x, f(x)) 
I 
This means the slopes of 
the cords on the right side 
of the base point (x, f(x)) 
connecting to (x+h, f(x+h)) 
( )
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
This means the slopes of 
the cords on the right side 
of the base point (x, f(x)) 
connecting to (x+h, f(x+h)) 
y = f(x) 
(x, f(x)) 
(x+h, f(x+h)) 
I 
( )
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
This means the slopes of 
the cords on the right side 
of the base point (x, f(x)) 
connecting to (x+h, f(x+h)) 
y = f(x) 
(x, f(x)) 
(x+h, f(x+h)) 
I 
( )
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
This means the slopes of 
the cords on the right side 
of the base point (x, f(x)) 
connecting to (x+h, f(x+h)) 
y = f(x) 
(x, f(x)) 
(x+h, f(x+h)) 
I 
( )
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
This means the slopes of 
the cords on the right side 
of the base point (x, f(x)) 
connecting to (x+h, f(x+h)) 
y = f(x) 
(x, f(x)) 
(x+h, f(x+h)) 
I 
( )
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
This means the slopes of 
the cords on the right side 
of the base point (x, f(x)) 
connecting to (x+h, f(x+h)) 
goes to the same limit as 
those connecting to the 
left of x as h goes to 0. 
y = f(x) 
(x, f(x)) 
(x+h, f(x+h)) 
I 
( )
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
This means the slopes of 
the cords on the right side 
of the base point (x, f(x)) 
connecting to (x+h, f(x+h)) 
goes to the same limit as 
those connecting to the 
left of x as h goes to 0. 
y = f(x) 
(x, f(x)) 
(x+h, f(x+h)) 
I 
( )
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
This means the slopes of 
the cords on the right side 
of the base point (x, f(x)) 
connecting to (x+h, f(x+h)) 
goes to the same limit as 
those connecting to the 
left of x as h goes to 0. 
y = f(x) 
(x, f(x)) 
(x+h, f(x+h)) 
I 
( )
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
This means the slopes of 
the cords on the right side 
of the base point (x, f(x)) 
connecting to (x+h, f(x+h)) 
goes to the same limit as 
those connecting to the 
left of x as h goes to 0. 
y = f(x) 
(x, f(x)) 
(x+h, f(x+h)) 
I 
( )
Derivatives and Graphs 
In next few sections, we use the derivative y' to obtain 
information about the graph of function y = f(x). 
To see what information the derivative of a function 
gives us, we need to take a closer look at the notion 
of “the tangent line”. 
Let y = f(x) be continuous in an open interval I and 
f '(x) = lim Δy/Δx exists at some generic point x in I. 
This means the slopes of 
the cords on the right side 
of the base point (x, f(x)) 
connecting to (x+h, f(x+h)) 
goes to the same limit as 
those connecting to the 
left of x as h goes to 0. 
y = f(x) 
(x, f(x)) 
(x+h, f(x+h)) 
Cords from the right 
and left merge into 
one “tangent line” 
I 
( )
Derivatives and Graphs 
Hence the existence of the f '(x), i.e. 
having a slope, guarantees a 
seamless joint at (x, f(x)) from the 
two sides which corresponds to our 
notion of “smooth” at P. Therefore 
f '(x) exists ↔ the graph of y = f(x) 
is smooth at the point (x, f(x)). 
y = f(x) 
(x, f(x)) 
and f '(x) exists 
For example, if the left side cords 
and the right side cords 
converge to different lines, 
then there is a corner at P. 
hence the graph is not smooth at P. 
P(x, f(x)) 
However, if lim Δy/Δx does not exist 
then there are multiple possibilities. 
y = f(x) 
f '(x) fails to exist at P
Derivatives and Graphs 
Let’s examine closer the geometry of the graph given 
that f '(x) exists. 
Given that f '(x) = 0, i.e. the tangent line is flat at 
(x, f(x)), there are four possible shapes of y = f(x). 
(x, f(x)) 
the graph y = f(x) crosses 
the tangent line 
Given that f '(x) > 0, i.e. the slope is positive at 
(x, f(x)), there are four possible shapes of y = f(x). 
the graph y = f(x) stays on the 
same side of the tangent line 
the graph y = f(x) crosses 
the tangent line 
the graph y = f(x) stays on the 
same side of the tangent line 
(x, f(x)) (x, f(x)) 
(x, f(x)) 
(x, f(x)) 
(x, f(x)) 
(x, f(x)) (x, f(x)) 
Draw the four possible graphs if f '(x) < 0.
Derivatives and Graphs 
Given the graph below, we can easily identify the 
points whose tangents are horizontal lines. 
y = f(x) 
a f
Derivatives and Graphs 
Given the graph below, we can easily identify the 
points whose tangents are horizontal lines. 
y = f(x) 
B 
C 
D 
E 
a f
Derivatives and Graphs 
Given the graph below, we can easily identify the 
points whose tangents are horizontal lines. 
B 
C 
D 
E 
y = f(x) 
a f 
A point P(x, y) is a critical point if f '(x) = 0, 
or that f '(x) is undefined (more on this later).
Derivatives and Graphs 
Given the graph below, we can easily identify the 
points whose tangents are horizontal lines. 
B 
C 
D 
E 
y = f(x) 
a f 
A point P(x, y) is a critical point if f '(x) = 0, 
or that f '(x) is undefined (more on this later). 
The critical points where f '(x) = 0 are the “flat–points”.
Derivatives and Graphs 
Given the graph below, we can easily identify the 
points whose tangents are horizontal lines. 
b 
B 
C 
D 
E 
y = f(x) 
a c d e f 
A point P(x, y) is a critical point if f '(x) = 0, 
or that f '(x) is undefined (more on this later). 
The critical points where f '(x) = 0 are the “flat–points”. 
So B, C, D, and E are flat (critical) points and that 
f '(b) = f '(c) = .. = 0.
Derivatives and Graphs 
y = f(x) 
the absolute 
maximum in 
the interval (a, f) A 
b 
B 
C 
D 
E 
F 
I 
a c d e f 
The point C above is the absolute maximum in the 
interval I = (a, f).
Derivatives and Graphs 
y = f(x) 
the absolute 
maximum in 
the interval (a, f) A 
b 
B 
C 
D 
E 
F 
I 
a c d e f 
The point C above is the absolute maximum in the 
interval I = (a, f). Given a function y = f(x) with domain 
I and that u ϵ I, we say that (u, f(u)) is an absolute 
maximum in I if f(u) ≥ f(x) for all x’s in I.
Derivatives and Graphs 
y = f(x) 
the absolute 
maximum in 
the interval (a, f) A 
b 
B 
C 
D 
E 
F 
I 
a c d e f 
The point C above is the absolute maximum in the 
interval I = (a, f). Given a function y = f(x) with domain 
I and that u ϵ I, we say that (u, f(u)) is an absolute 
maximum in I if f(u) ≥ f(x) for all x’s in I. 
An absolute maximum is not lower than any other 
point on the graph.
Derivatives and Graphs 
y = f(x) 
the absolute 
maximum in 
the interval (a, f) A 
b 
B 
C 
D 
E 
F 
I 
a c d e f 
The point C above is the absolute maximum in the 
interval I = (a, f). Given a function y = f(x) with domain 
I and that u ϵ I, we say that (u, f(u)) is an absolute 
maximum in I if f(u) ≥ f(x) for all x’s in I. 
An absolute maximum is not lower than any other 
point on the graph. 
y = sin(x) has infinitely 
many absolute maxima. 
y = sin(x)
b 
B 
C 
D 
E 
A 
a c d e f 
F 
Derivatives and Graphs 
However if the graph continues on and C is not the 
overall highest point, than we say C is a “local” 
maximum as shown here. 
C 
a f 
the absolute 
maximum in 
the interval (a, f) 
y = f(x)
b 
B 
C 
D 
E 
A 
a c d e f 
F 
Derivatives and Graphs 
However if the graph continues on and C is not the 
overall highest point, than we say C is a “local” 
maximum as shown here. 
C 
a f 
g 
the absolute 
maximum in 
the interval (a, f) 
the graph is 
higher here 
y = f(x)
b 
B 
C 
D 
E 
A 
a c d e f 
F 
Derivatives and Graphs 
However if the graph continues on and C is not the 
overall highest point, than we say C is a “local” 
maximum as shown here. 
C 
a local 
maximum 
in the interval (a, g) 
a f 
g 
the absolute 
maximum in 
the interval (a, f) 
the graph is 
higher here 
y = f(x)
b 
B 
C 
D 
E 
A 
a c d e f 
F 
Derivatives and Graphs 
However if the graph continues on and C is not the 
overall highest point, than we say C is a “local” 
maximum as shown here. In general, we say that 
(u, f(u)) is a local maximum if 
C 
f(u) ≥ f(x) for all x’s in some 
open neighborhood N in the 
a local 
maximum 
domain as shown here. 
in the interval (a, g) 
N g 
a f 
the absolute 
maximum in 
the interval (a, f) 
the graph is 
higher here 
y = f(x)
b 
B 
C 
D 
the absolute 
minimum 
at x = e 
E 
y = f(x) 
A 
a c d e f 
F 
Derivatives and Graphs 
The point E above is the absolute minimum in (a, f).
b 
B 
C 
D 
the absolute 
minimum 
at x = e 
E 
y = f(x) 
A 
a c d e f 
F 
Derivatives and Graphs 
The point E above is the absolute minimum in (a, f). 
Similarly we say that (v, f(v)) is an absolute minimum 
if f(x) ≥ f(v) for all x’s in the domain I.
b 
B 
C 
D 
the absolute 
minimum 
at x = e 
E 
y = f(x) 
A 
a c d e f 
F 
Derivatives and Graphs 
The point E above is the absolute minimum in (a, f). 
Similarly we say that (v, f(v)) is an absolute minimum 
if f(x) ≥ f(v) for all x’s in the domain I. 
An absolute minimum is not 
lower than any other point 
on the graph.
b 
B 
C 
D 
the absolute 
minimum 
at x = e 
E 
y = f(x) 
A 
a c d e f 
F 
Derivatives and Graphs 
The point E above is the absolute minimum in (a, f). 
Similarly we say that (v, f(v)) is an absolute minimum 
if f(x) ≥ f(v) for all x’s in the domain I. 
y = tan(x) 
An absolute minimum is not 
lower than any other point 
on the graph. Note that y = tan(x) 
does not have any extremum in the 
interval (–π/2, π/2). 
–π/2 π/2
Derivatives and Graphs 
b 
B 
A 
a 
E 
e f 
F 
C 
c 
We say that the function is increasing at x if f '(x) > 0 
and we say that f (x) is increasing in an open interval I 
if f '(x) > 0 for all x’s in I.
Derivatives and Graphs 
b 
B 
increasing 
A 
a 
E 
e f 
F 
C 
c 
We say that the function is increasing at x if f '(x) > 0 
and we say that f (x) is increasing in an open interval I 
if f '(x) > 0 for all x’s in I. 
The curve above is increasing in (a, b),
Derivatives and Graphs 
increasing 
b 
B 
increasing 
A 
a 
increasing 
E 
e f 
F 
C 
c 
We say that the function is increasing at x if f '(x) > 0 
and we say that f (x) is increasing in an open interval I 
if f '(x) > 0 for all x’s in I. 
The curve above is increasing in (a, b), (b, c) and (e, f).
Derivatives and Graphs 
increasing 
b 
B 
increasing 
A 
a 
increasing 
E 
e f 
F 
C 
u < v c 
We say that the function is increasing at x if f '(x) > 0 
and we say that f (x) is increasing in an open interval I 
if f '(x) > 0 for all x’s in I. 
The curve above is increasing in (a, b), (b, c) and (e, f). 
If f(x) is increasing in an interval I, and u, v are any 
two points in I with u < v,
Derivatives and Graphs 
increasing 
b 
B 
increasing 
A 
a 
increasing 
E 
e f 
F 
C 
f(u)< f(v) 
u < v c 
We say that the function is increasing at x if f '(x) > 0 
and we say that f (x) is increasing in an open interval I 
if f '(x) > 0 for all x’s in I. 
The curve above is increasing in (a, b), (b, c) and (e, f). 
If f(x) is increasing in an interval I, and u, v are any 
two points in I with u < v, then f(u) < f(v).
Derivatives and Graphs 
increasing 
b 
B 
increasing 
A 
a 
increasing 
E 
e f 
F 
C 
f(u)< f(v) 
u < v c 
We say that the function is increasing at x if f '(x) > 0 
and we say that f (x) is increasing in an open interval I 
if f '(x) > 0 for all x’s in I. 
The curve above is increasing in (a, b), (b, c) and (e, f). 
If f(x) is increasing in an interval I, and u, v are any 
two points in I with u < v, then f(u) < f(v). We say that 
f(x) is non–decreasing if f(u) ≤ f(v) for any u < v.
Derivatives and Graphs 
C 
c 
D 
E 
d e 
We say that the function is decreasing at x if f '(x) < 0 
and we say that f (x) is decreasing in an open interval 
I if f '(x) < 0 for all x’s in I.
Derivatives and Graphs 
decreasing 
C decreasing 
c 
D 
E 
d e 
We say that the function is decreasing at x if f '(x) < 0 
and we say that f (x) is decreasing in an open interval 
I if f '(x) < 0 for all x’s in I. 
The curve above is decreasing in (c, d), and (d, e).
Derivatives and Graphs 
decreasing 
C decreasing 
c 
D 
E 
f(u) > f(v) 
d u < v 
e 
We say that the function is decreasing at x if f '(x) < 0 
and we say that f (x) is decreasing in an open interval 
I if f '(x) < 0 for all x’s in I. 
The curve above is decreasing in (c, d), and (d, e). 
If f(x) is decreasing in an interval I, and u, v are any 
two points in I with u < v, then f(u) > f(v).
Derivatives and Graphs 
decreasing 
C decreasing 
c 
D 
E 
f(u) > f(v) 
d u < v 
e 
We say that the function is decreasing at x if f '(x) < 0 
and we say that f (x) is decreasing in an open interval 
I if f '(x) < 0 for all x’s in I. 
The curve above is decreasing in (c, d), and (d, e). 
If f(x) is decreasing in an interval I, and u, v are any 
two points in I with u < v, then f(u) > f(v). We say that 
f(x) is non–increasing if f(u) ≥ f(v) for any u < v.
Derivatives and Graphs 
Summary of the graphs given the sign of f '(x). 
f '(x) = slope = 0 max, min, flat–landing point 
(x, f(x)) 
Draw them. 
(x, f(x)) (x, f(x)) 
(x, f(x)) 
f '(x) = slope > 0 increasing, going uphill 
(x, f(x)) 
(x, f(x)) 
(x, f(x)) (x, f(x)) 
f '(x) = slope < 0 decreasing, going downhill 
Let’s apply the above observations to the monomial 
functions y = xN where N = 2,3,4..
Derivatives and Graphs 
The graphs y = xeven 
The derivative of y = xeven 
is y' = #xodd. So if x < 0, 
y' < 0, the function is 
decreasing, and if x > 0, 
y > 0 and y is increasing. 
y = x6 y = x4 y = x2 
(-1, 1) (1, 1) 
y' < 0 y' > 0 
(0,0) 
(0, 0) is the absolute min.
Derivatives and Graphs 
The graphs y = xodd 
The graphs y = xeven 
The derivative of y = xeven 
is y' = #xodd. So if x < 0, 
y' < 0, the function is 
decreasing, and if x > 0, 
y > 0 and y is increasing. 
The derivative of y = xodd 
is y' = #xeven. 
For x ≠ 0, y' > 0, so the 
function is increasing 
where x ≠ 0. 
y = x5 
y = x3 
y = x7 
(1, 1) 
(-1, -1) 
y = x6 y = x4 y = x2 
(-1, 1) (1, 1) 
(0,0) 
y' < 0 y' > 0 
(0,0) 
y' > 0 except at 
y'(0) = 0 
(0, 0) is the absolute min. (0, 0) is a flat–landing.
Derivatives and Graphs 
Here are the general steps for graphing.
Derivatives and Graphs 
Here are the general steps for graphing. 
Steps 1 and 2 do not require calculus. 
1. Determine the domain of f(x) and the behavior of 
y as x approaches the boundary of the domain. 
2. Use the roots and asymptotes to make the 
sign–chart and determine the general shape of 
the graph.
Derivatives and Graphs 
Here are the general steps for graphing. 
Steps 1 and 2 do not require calculus. 
1. Determine the domain of f(x) and the behavior of 
y as x approaches the boundary of the domain. 
2. Use the roots and asymptotes to make the 
sign–chart and determine the general shape of 
the graph. 
Step 3 and 4 uses the 1st derivative of f(x). 
3. Find the derivative f '(x), use the roots of f '(x) = 0 
to find the extrema and flat–points. 
4. Make the sign–chart of f '(x) to determine the terrain 
of y = f (x), i.e. the graph is going uphill where f '(x) > 0 
and downhill where f '(x) < 0.
Derivatives and Graphs 
The domain of polynomials is the set of all real 
numbers. Polynomial graphs are smooth everywhere 
because derivatives of polynomials are well defined 
polynomials.
Derivatives and Graphs 
The domain of polynomials is the set of all real 
numbers. Polynomial graphs are smooth everywhere 
because derivatives of polynomials are well defined 
polynomials. 
Example A. Graph y = 9x – x3. Find the locations of 
the extrema, the flat points and classify them. 
For what x values is y increasing and for what x 
values is y decreasing?
Derivatives and Graphs 
The domain of polynomials is the set of all real 
numbers. Polynomial graphs are smooth everywhere 
because derivatives of polynomials are well defined 
polynomials. 
Example A. Graph y = 9x – x3. Find the locations of 
the extrema, the flat points and classify them. 
For what x values is y increasing and for what x 
values is y decreasing? 
We start by factoring to locate the roots. 
9x – x3 = x(3 – x)(3 + x), 
hence x = 0, 3, –3 are the 
roots and each is of order 1.
Derivatives and Graphs 
The domain of polynomials is the set of all real 
numbers. Polynomial graphs are smooth everywhere 
because derivatives of polynomials are well defined 
polynomials. 
Example A. Graph y = 9x – x3. Find the locations of 
the extrema, the flat points and classify them. 
For what x values is y increasing and for what x 
values is y decreasing? 
We start by factoring to locate the roots. 
9x – x3 = x(3 – x)(3 + x), 
hence x = 0, 3, –3 are the 
roots and each is of order 1. 
The sign–chart and the 
graph of f(x) is shown here.
Derivatives and Graphs 
The domain of polynomials is the set of all real 
numbers. Polynomial graphs are smooth everywhere 
because derivatives of polynomials are well defined 
polynomials. 
Example A. Graph y = 9x – x3. Find the locations of 
the extrema, the flat points and classify them. 
For what x values is y increasing and for what x 
values is y decreasing? 
We start by factoring to locate the roots. 
9x – x3 = x(3 – x)(3 + x), 
hence x = 0, 3, –3 are the 
roots and each is of order 1. 
The sign–chart and the 
graph of f(x) is shown here. 
x 
y 
+ – + – 
–3 0 3 
y = 9x – x3
Derivatives and Graphs 
The domain of polynomials is the set of all real 
numbers. Polynomial graphs are smooth everywhere 
because derivatives of polynomials are well defined 
polynomials. 
Example A. Graph y = 9x – x3. Find the locations of 
the extrema, the flat points and classify them. 
For what x values is y increasing and for what x 
values is y decreasing? 
We start by factoring to locate the roots. 
x 
y 
+ – + – 
–3 0 3 
y = 9x – x3 
9x – x3 = x(3 – x)(3 + x), 
hence x = 0, 3, –3 are the 
roots and each is of order 1. 
The sign–chart and the 
graph of f(x) is shown here.
Derivatives and Graphs 
The derivative is y' = (9x – x3)' = 9 – 3x2. 
x 
y 
y = 9x – x3 
+ – + – 
–3 0 3
Derivatives and Graphs 
The derivative is y' = (9x – x3)' = 9 – 3x2. 
Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 
x 
y 
y = 9x – x3 
+ – + – 
–3 0 3
Derivatives and Graphs 
The derivative is y' = (9x – x3)' = 9 – 3x2 
Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 
x 
y 
+ – + – 
–3 0 3 
the corresponding points 
on the graphs are 
(√3, 9√3 – (√3)3) 
= (√3, 6√3) and 
(–√3, –6√3) which are 
the unique local max. 
and the local min. 
respectively. 
y = 9x – x3
Derivatives and Graphs 
The derivative is y' = (9x – x3)' = 9 – 3x2 
Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 
x 
y 
+ – + – 
–3 0 3 
the corresponding points 
on the graphs are 
(√3, 9√3 – (√3)3) 
= (√3, 6√3) and 
(–√3, –6√3) which are 
the unique local max. 
and the local min. 
respectively. 
y = 9x – x3 
(√3, 6√3) 
(–√3, –6√3) 
Label these points 
on the graph.
Derivatives and Graphs 
The derivative is y' = (9x – x3)' = 9 – 3x2 
Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 
is shown below the graph. 
x 
y 
+ – + – 
–3 0 3 
the corresponding points 
on the graphs are 
(√3, 9√3 – (√3)3) 
= (√3, 6√3) and 
(–√3, –6√3) which are 
the unique local max. 
and the local min. 
respectively. 
y = 9x – x3 
(√3, 6√3) 
(–√3, –6√3) 
Label these points 
on the graph. The sign–chart of the 
y' = 9 – 3x2 = 3(3 – x2) = 3(x – √3)(x + √3)
Derivatives and Graphs 
The derivative is y' = (9x – x3)' = 9 – 3x2 
Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 
is shown below the graph. 
x 
y 
+ – + – 
–3 0 3 
the corresponding points 
on the graphs are 
(√3, 9√3 – (√3)3) 
= (√3, 6√3) and 
(–√3, –6√3) which are 
the unique local max. 
and the local min. 
respectively. 
y = 9x – x3 
(√3, 6√3) 
(–√3, –6√3) 
–√3 √3 
Label these points 
on the graph. The sign–chart of the 
y' = 9 – 3x2 = 3(3 – x2) = 3(x – √3)(x + √3) 
y' = -3(x–√3)(x+√3)
Derivatives and Graphs 
The derivative is y' = (9x – x3)' = 9 – 3x2 
Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 
is shown below the graph. 
x 
y 
+ – + – 
–3 0 3 
the corresponding points 
on the graphs are 
(√3, 9√3 – (√3)3) 
= (√3, 6√3) and 
(–√3, –6√3) which are 
the unique local max. 
and the local min. 
respectively. 
y = 9x – x3 
(√3, 6√3) 
(–√3, –6√3) 
–√3 √3 
Label these points 
on the graph. The sign–chart of the 
y' = 9 – 3x2 = 3(3 – x2) = 3(x – √3)(x + √3) 
y' = -3(x–√3)(x+√3) 
y' is + 
uphill 
y' is – 
downhill 
y' is – 
downhill
Derivatives and Graphs 
At a maximum point the graph must be 
changing from going uphill to going downhill 
Max 
up down
Derivatives and Graphs 
At a maximum point the graph must be 
changing from going uphill to going downhill 
and at the minimum point it must be changing 
from going downhill to uphill. 
Max 
up down 
down up 
Min
Derivatives and Graphs 
At a maximum point the graph must be 
changing from going uphill to going downhill 
and at the minimum point it must be changing 
from going downhill to uphill. Hence the signs 
of the y' must change at these critical points. 
Max 
up down 
down up 
Min
Derivatives and Graphs 
Max 
up down 
At a maximum point the graph must be 
changing from going uphill to going downhill 
and at the minimum point it must be changing 
from going downhill to uphill. Hence the signs 
of the y' must change at these critical points. 
Both f(x) = x3(3 – x)(3 + x) = x3(9 – x2) = 9x3 – x5 and 
g(x) = x(9 – x2) have the same sign–chart so both 
graphs are similar. 
down up 
Min
Derivatives and Graphs 
At a maximum point the graph must be 
changing from going uphill to going downhill 
and at the minimum point it must be changing 
from going downhill to uphill. Hence the signs 
of the y' must change at these critical points. 
up down 
down up 
Both f(x) = x3(3 – x)(3 + x) = x3(9 – x2) = 9x3 – x5 and 
g(x) = x(9 – x2) have the same sign–chart so both 
graphs are similar. 
However, for f(x) it’s derivative 
f '(x) = [9x3 – x5 ]' = 27x2 – 5x4 = x2(27 – 5x2). 
Max 
Min
Derivatives and Graphs 
At a maximum point the graph must be 
changing from going uphill to going downhill 
and at the minimum point it must be changing 
from going downhill to uphill. Hence the signs 
of the y' must change at these critical points. 
up down 
down up 
Both f(x) = x3(3 – x)(3 + x) = x3(9 – x2) = 9x3 – x5 and 
g(x) = x(9 – x2) have the same sign–chart so both 
graphs are similar. 
However, for f(x) it’s derivative 
f '(x) = [9x3 – x5 ]' = 27x2 – 5x4 = x2(27 – 5x2). 
signs around x = 0 of 
f '(x) = x2(27 – 5x2) 
+ uphill 
+ uphill 
f '(0)=0 with order 2 
Max 
Min
Derivatives and Graphs 
At a maximum point the graph must be 
changing from going uphill to going downhill 
and at the minimum point it must be changing 
from going downhill to uphill. Hence the signs 
of the y' must change at these critical points. 
Max 
up down 
down up 
Min 
Both f(x) = x3(3 – x)(3 + x) = x3(9 – x2) = 9x3 – x5 and 
g(x) = x(9 – x2) have the same sign–chart so both 
graphs are similar. 
However, for f(x) it’s derivative 
f '(x) = [9x3 – x5 ]' = 27x2 – 5x4 = x2(27 – 5x2). 
+ uphill 
+ uphill 
f '(0)=0 with order 2 
signs around x = 0 of 
f '(x) = x2(27 – 5x2) 
The sign of f '(x) is positive on both sides of x = 0, 
so (0, 0) is not a max nor min, it’s a flat landing point.
Derivatives and Graphs 
We put the two graphs side by side for comparison. 
y = g(x) = 9x – x3 y = f(x) = x2g(x) = 9x3 – x5 
x 
y 
+ – + – 
–3 0 3 
x 
+ – + – 
–3 0 3 
f(0) = 0 of order 3, 
and f'(0) = 0 of order 2, flat point 
f(0) = 0 of order 1, 
and f'(0) = 9 > 0, uphill 
y
Derivatives and Graphs 
We put the two graphs side by side for comparison. 
y = g(x) = 9x – x3 y = f(x) = x2g(x) = 9x3 – x5 
x 
y 
+ – + – 
–3 0 3 
x 
+ – + – 
–3 0 3 
f(0) = 0 of order 3, 
and f'(0) = 0 of order 2, flat point 
f(0) = 0 of order 1, 
and f'(0) = 9 > 0, uphill 
y 
So if f '(x) = 0 of even order, then it’s a flat landing 
point, not a max nor min.
Derivatives and Graphs 
We put the two graphs side by side for comparison. 
y = g(x) = 9x – x3 y = f(x) = x2g(x) = 9x3 – x5 
x 
y 
+ – + – 
–3 0 3 
x 
+ – + – 
–3 0 3 
f(0) = 0 of order 3, 
and f'(0) = 0 of order 2, flat point 
f(0) = 0 of order 1, 
and f'(0) = 9 > 0, uphill 
y 
So if f '(x) = 0 of even order, then it’s a flat landing 
point, not a max nor min. 
Example B. Graph y = x + sin(x). Find the locations of 
the extrema, the flat points and classify them. 
For what x values is y increasing and for what x values 
is y decreasing?
Derivatives and Graphs 
We observe that 
f(x) = x + sin(x) = 0 if x = 0.
Derivatives and Graphs 
We observe that 
f(x) = x + sin(x) = 0 if x = 0. 
Furthermore, 
f(x) > 0 if x > 0, 
f(x) < 0 if x < 0 (why?), 
and as x →±∞, f(x) →±∞
Derivatives and Graphs 
We observe that 
f(x) = x + sin(x) = 0 if x = 0. 
Furthermore, 
f(x) > 0 if x > 0, 
f(x) < 0 if x < 0 (why?), 
and as x →±∞, f(x) →±∞ 
The derivative f '(x) = 1 + cos(x) = 0 
so the critical points f '(x) = 0 are at 
x = ±π, ±3 π, .. where cos(x) = –1.
Derivatives and Graphs 
We observe that 
f(x) = x + sin(x) = 0 if x = 0. 
Furthermore, 
f(x) > 0 if x > 0, 
f(x) < 0 if x < 0 (why?), 
and as x →±∞, f(x) →±∞ 
The derivative f '(x) = 1 + cos(x) = 0 
so the critical points f '(x) = 0 are at 
x = ±π, ±3 π, .. where cos(x) = –1. 
x y = f(x) 
π π 
3π 3π 
5π 5π 
–π –π 
–3π –3π 
–5π –5π 
some points where 
f '(x) = 0 
In particular f(π) = π, f(3π) = 3π, etc.. so the flat points 
of y = f(x) are at (x, x) with x = ± π, ±3 π, ±5 π..
Derivatives and Graphs 
We observe that 
f(x) = x + sin(x) = 0 if x = 0. 
Furthermore, 
f(x) > 0 if x > 0, 
f(x) < 0 if x < 0 (why?), 
and as x →±∞, f(x) →±∞ 
The derivative f '(x) = 1 + cos(x) = 0 
so the critical points f '(x) = 0 are at 
x = ±π, ±3 π, .. where cos(x) = –1. 
x y = f(x) 
π π 
3π 3π 
5π 5π 
–π –π 
–3π –3π 
–5π –5π 
some points where 
f '(x) = 0 
In particular f(π) = π, f(3π) = 3π, etc.. so the flat points 
of y = f(x) are at (x, x) with x = ± π, ±3 π, ±5 π.. 
Furthermore the derivative f '(x) = 1 + cos(x) > 0 
so f(x) = x + sin(x) is increasing everywhere else. 
Let’s putting it all together.
Derivatives and Graphs 
Here is a table of some of the points where 
y’ = 0, i.e. their tangents are horizontal . 
x y 
π π 
3π 3π 
5π 5π 
–π –π 
–3π –3π 
–5π –5π 
points where 
f '(x) = 0
Derivatives and Graphs x y 
π π 
3π 3π 
5π 5π 
–π –π 
–3π –3π 
–5π –5π 
Here is a table of some of the points where 
y’ = 0, i.e. their tangents are horizontal . 
(π, π) 
(3π, 3π) 
(–π, –π) 
(–3π, –3π) 
(0, 0) 
points where 
f '(x) = 0
Derivatives and Graphs x y 
π π 
3π 3π 
5π 5π 
–π –π 
–3π –3π 
–5π –5π 
Here is a table of some of the points where 
y’ = 0, i.e. their tangents are horizontal . 
The graph is a continuous smooth curve 
that is increasing between all the horizontal 
locations. 
(π, π) 
(3π, 3π) 
(–π, –π) 
(–3π, –3π) 
(0, 0) 
points where 
f '(x) = 0
Derivatives and Graphs x y 
π π 
3π 3π 
5π 5π 
–π –π 
–3π –3π 
–5π –5π 
Here is a table of some of the points where 
y’ = 0, i.e. their tangents are horizontal . 
The graph is a continuous smooth curve 
that is increasing between all the horizontal 
locations. The only possibility for a smooth 
increasing curve between two 
flat–spots is shown here. 
(π, π) 
(3π, 3π) 
(–π, –π) 
(–3π, –3π) 
(0, 0) 
points where 
f '(x) = 0
Derivatives and Graphs 
Here is a table of some of the points where 
y’ = 0, i.e. their tangents are horizontal . 
The graph is a continuous smooth curve 
that is increasing between all the horizontal 
locations. The only possibility for a smooth 
increasing curve between two 
flat–spots is shown here. 
x y 
π π 
3π 3π 
5π 5π 
–π –π 
–3π –3π 
–5π –5π 
(π, π) 
(3π, 3π) 
(–π, –π) 
(–3π, –3π) 
(0, 0) 
points where 
f '(x) = 0
Derivatives and Graphs 
The graph is a continuous smooth curve 
that is increasing between all the horizontal 
locations. The only possibility for a smooth 
increasing curve between two 
flat–spots is shown here. 
x y 
π π 
3π 3π 
5π 5π 
–π –π 
–3π –3π 
–5π –5π 
Here is a table of some of the points where 
y’ = 0, i.e. their tangents are horizontal . 
points where 
f '(x) = 0 
(π, π) 
(3π, 3π) 
(–π, –π) 
(–3π, –3π) 
(0, 0)
Derivatives and Graphs 
The graph is a continuous smooth curve 
that is increasing between all the horizontal 
locations. The only possibility for a smooth 
increasing curve between two 
flat–spots is shown here. 
x y 
π π 
3π 3π 
5π 5π 
–π –π 
–3π –3π 
–5π –5π 
Here is a table of some of the points where 
y’ = 0, i.e. their tangents are horizontal . 
points where 
f '(x) = 0 
(π, π) 
(3π, 3π) 
(–π, –π) 
(–3π, –3π) 
(0, 0) 
Hence the graph of 
y = x + sin(x) is:
Derivatives and Graphs 
The critical points where f '(x) fails to exist are 
“corners”, or at points where the tangent line is 
vertical. 
Questions 
a. Find f '(x) as x → 0+, and as x → 0– for each of the 
following function. 
b. How does their graphs at x = 0 reflect the answers 
from a? 
f (x) = | x | f (x) = x2/3 f (x) = x1/3

More Related Content

What's hot

1.4 review on log exp-functions
1.4 review on log exp-functions1.4 review on log exp-functions
1.4 review on log exp-functionsmath265
 
3.1 higher derivatives
3.1 higher derivatives3.1 higher derivatives
3.1 higher derivativesmath265
 
1.5 algebraic and elementary functions
1.5 algebraic and elementary functions1.5 algebraic and elementary functions
1.5 algebraic and elementary functionsmath265
 
4.5 continuous functions and differentiable functions
4.5 continuous functions and differentiable functions4.5 continuous functions and differentiable functions
4.5 continuous functions and differentiable functionsmath265
 
3.6 applications in optimization
3.6 applications in optimization3.6 applications in optimization
3.6 applications in optimizationmath265
 
1.1 review on algebra 1
1.1 review on algebra 11.1 review on algebra 1
1.1 review on algebra 1math265
 
2.1 limits i
2.1 limits i2.1 limits i
2.1 limits imath265
 
1.3 review on trig functions
1.3 review on trig functions1.3 review on trig functions
1.3 review on trig functionsmath265
 
2.6 more computations of derivatives
2.6 more computations of derivatives2.6 more computations of derivatives
2.6 more computations of derivativesmath265
 
1.6 slopes and the difference quotient
1.6 slopes and the difference quotient1.6 slopes and the difference quotient
1.6 slopes and the difference quotientmath265
 
5.2 the substitution methods
5.2 the substitution methods5.2 the substitution methods
5.2 the substitution methodsmath265
 
Partial Differentiation & Application
Partial Differentiation & Application Partial Differentiation & Application
Partial Differentiation & Application Yana Qlah
 
Application of derivatives 2 maxima and minima
Application of derivatives 2  maxima and minimaApplication of derivatives 2  maxima and minima
Application of derivatives 2 maxima and minimasudersana viswanathan
 
5.3 areas, riemann sums, and the fundamental theorem of calaculus
5.3 areas, riemann sums, and the fundamental theorem of calaculus5.3 areas, riemann sums, and the fundamental theorem of calaculus
5.3 areas, riemann sums, and the fundamental theorem of calaculusmath265
 
L19 increasing &amp; decreasing functions
L19 increasing &amp; decreasing functionsL19 increasing &amp; decreasing functions
L19 increasing &amp; decreasing functionsJames Tagara
 
Partial Derivatives
Partial DerivativesPartial Derivatives
Partial DerivativesAman Singh
 
2.3 continuity
2.3 continuity2.3 continuity
2.3 continuitymath265
 
2.2 limits ii
2.2 limits ii2.2 limits ii
2.2 limits iimath265
 
Application of partial derivatives with two variables
Application of partial derivatives with two variablesApplication of partial derivatives with two variables
Application of partial derivatives with two variablesSagar Patel
 

What's hot (20)

1.4 review on log exp-functions
1.4 review on log exp-functions1.4 review on log exp-functions
1.4 review on log exp-functions
 
3.1 higher derivatives
3.1 higher derivatives3.1 higher derivatives
3.1 higher derivatives
 
1.5 algebraic and elementary functions
1.5 algebraic and elementary functions1.5 algebraic and elementary functions
1.5 algebraic and elementary functions
 
4.5 continuous functions and differentiable functions
4.5 continuous functions and differentiable functions4.5 continuous functions and differentiable functions
4.5 continuous functions and differentiable functions
 
3.6 applications in optimization
3.6 applications in optimization3.6 applications in optimization
3.6 applications in optimization
 
1.1 review on algebra 1
1.1 review on algebra 11.1 review on algebra 1
1.1 review on algebra 1
 
2.1 limits i
2.1 limits i2.1 limits i
2.1 limits i
 
1.3 review on trig functions
1.3 review on trig functions1.3 review on trig functions
1.3 review on trig functions
 
2.6 more computations of derivatives
2.6 more computations of derivatives2.6 more computations of derivatives
2.6 more computations of derivatives
 
1.6 slopes and the difference quotient
1.6 slopes and the difference quotient1.6 slopes and the difference quotient
1.6 slopes and the difference quotient
 
DIFFERENTIATION
DIFFERENTIATIONDIFFERENTIATION
DIFFERENTIATION
 
5.2 the substitution methods
5.2 the substitution methods5.2 the substitution methods
5.2 the substitution methods
 
Partial Differentiation & Application
Partial Differentiation & Application Partial Differentiation & Application
Partial Differentiation & Application
 
Application of derivatives 2 maxima and minima
Application of derivatives 2  maxima and minimaApplication of derivatives 2  maxima and minima
Application of derivatives 2 maxima and minima
 
5.3 areas, riemann sums, and the fundamental theorem of calaculus
5.3 areas, riemann sums, and the fundamental theorem of calaculus5.3 areas, riemann sums, and the fundamental theorem of calaculus
5.3 areas, riemann sums, and the fundamental theorem of calaculus
 
L19 increasing &amp; decreasing functions
L19 increasing &amp; decreasing functionsL19 increasing &amp; decreasing functions
L19 increasing &amp; decreasing functions
 
Partial Derivatives
Partial DerivativesPartial Derivatives
Partial Derivatives
 
2.3 continuity
2.3 continuity2.3 continuity
2.3 continuity
 
2.2 limits ii
2.2 limits ii2.2 limits ii
2.2 limits ii
 
Application of partial derivatives with two variables
Application of partial derivatives with two variablesApplication of partial derivatives with two variables
Application of partial derivatives with two variables
 

Viewers also liked

3.5 extrema and the second derivative
3.5 extrema and the second derivative3.5 extrema and the second derivative
3.5 extrema and the second derivativemath265
 
5.4 more areas
5.4 more areas5.4 more areas
5.4 more areasmath265
 
3.7 applications of tangent lines
3.7 applications of tangent lines3.7 applications of tangent lines
3.7 applications of tangent linesmath265
 
2.9 graphs of factorable polynomials
2.9 graphs of factorable polynomials2.9 graphs of factorable polynomials
2.9 graphs of factorable polynomialsmath260
 
4.2 more derivatives as rates
4.2 more derivatives as rates4.2 more derivatives as rates
4.2 more derivatives as ratesmath265
 
Chpt 3-exercise
Chpt 3-exerciseChpt 3-exercise
Chpt 3-exercisemath265
 
4.4 review on derivatives
4.4 review on derivatives4.4 review on derivatives
4.4 review on derivativesmath265
 
5.5 volumes
5.5 volumes5.5 volumes
5.5 volumesmath265
 
5.1 anti derivatives
5.1 anti derivatives5.1 anti derivatives
5.1 anti derivativesmath265
 
2.4 defintion of derivative
2.4 defintion of derivative2.4 defintion of derivative
2.4 defintion of derivativemath265
 
Difference quotient algebra
Difference quotient algebraDifference quotient algebra
Difference quotient algebramath260
 
2 6 complex fractions
2 6 complex fractions2 6 complex fractions
2 6 complex fractionsmath123b
 
Project application of derivatives ppt.docx
Project application of derivatives ppt.docxProject application of derivatives ppt.docx
Project application of derivatives ppt.docxTaraRocheleDaugherty
 
Limits And Derivative
Limits And DerivativeLimits And Derivative
Limits And DerivativeAshams kurian
 

Viewers also liked (16)

3.5 extrema and the second derivative
3.5 extrema and the second derivative3.5 extrema and the second derivative
3.5 extrema and the second derivative
 
5.4 more areas
5.4 more areas5.4 more areas
5.4 more areas
 
3.7 applications of tangent lines
3.7 applications of tangent lines3.7 applications of tangent lines
3.7 applications of tangent lines
 
2.9 graphs of factorable polynomials
2.9 graphs of factorable polynomials2.9 graphs of factorable polynomials
2.9 graphs of factorable polynomials
 
Lecture co4 math21-1
Lecture co4 math21-1Lecture co4 math21-1
Lecture co4 math21-1
 
4.2 more derivatives as rates
4.2 more derivatives as rates4.2 more derivatives as rates
4.2 more derivatives as rates
 
Chpt 3-exercise
Chpt 3-exerciseChpt 3-exercise
Chpt 3-exercise
 
4.4 review on derivatives
4.4 review on derivatives4.4 review on derivatives
4.4 review on derivatives
 
5.5 volumes
5.5 volumes5.5 volumes
5.5 volumes
 
5.1 anti derivatives
5.1 anti derivatives5.1 anti derivatives
5.1 anti derivatives
 
Hw2 ppt
Hw2 pptHw2 ppt
Hw2 ppt
 
2.4 defintion of derivative
2.4 defintion of derivative2.4 defintion of derivative
2.4 defintion of derivative
 
Difference quotient algebra
Difference quotient algebraDifference quotient algebra
Difference quotient algebra
 
2 6 complex fractions
2 6 complex fractions2 6 complex fractions
2 6 complex fractions
 
Project application of derivatives ppt.docx
Project application of derivatives ppt.docxProject application of derivatives ppt.docx
Project application of derivatives ppt.docx
 
Limits And Derivative
Limits And DerivativeLimits And Derivative
Limits And Derivative
 

Similar to 3.4 derivative and graphs

6 slopes and difference quotient x
6 slopes and difference quotient x6 slopes and difference quotient x
6 slopes and difference quotient xTzenma
 
1 review on derivatives
1 review on derivatives1 review on derivatives
1 review on derivativesmath266
 
2.3 slopes and difference quotient
2.3 slopes and difference quotient2.3 slopes and difference quotient
2.3 slopes and difference quotientmath260
 
16 slopes and difference quotient x
16 slopes and difference quotient x16 slopes and difference quotient x
16 slopes and difference quotient xmath260
 
3.1 derivative of a function
3.1 derivative of a function3.1 derivative of a function
3.1 derivative of a functionbtmathematics
 
0.5.derivatives
0.5.derivatives0.5.derivatives
0.5.derivativesm2699
 
Project in Calcu
Project in CalcuProject in Calcu
Project in Calcupatrickpaz
 
vvvvvvvvvvvvvL2A_CurveRepresentations.pdf
vvvvvvvvvvvvvL2A_CurveRepresentations.pdfvvvvvvvvvvvvvL2A_CurveRepresentations.pdf
vvvvvvvvvvvvvL2A_CurveRepresentations.pdfKhalil Alhatab
 
APPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATIONAPPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATIONDhrupal Patel
 
15 translations of graphs x
15 translations of graphs x15 translations of graphs x
15 translations of graphs xmath260
 
Module 2 lesson 4 notes
Module 2 lesson 4 notesModule 2 lesson 4 notes
Module 2 lesson 4 notestoni dimella
 
2nd-year-Math-full-Book-PB.pdf
2nd-year-Math-full-Book-PB.pdf2nd-year-Math-full-Book-PB.pdf
2nd-year-Math-full-Book-PB.pdfproacademyhub
 
Lesson3.1 The Derivative And The Tangent Line
Lesson3.1 The Derivative And The Tangent LineLesson3.1 The Derivative And The Tangent Line
Lesson3.1 The Derivative And The Tangent Lineseltzermath
 

Similar to 3.4 derivative and graphs (20)

6 slopes and difference quotient x
6 slopes and difference quotient x6 slopes and difference quotient x
6 slopes and difference quotient x
 
1 review on derivatives
1 review on derivatives1 review on derivatives
1 review on derivatives
 
2.3 slopes and difference quotient
2.3 slopes and difference quotient2.3 slopes and difference quotient
2.3 slopes and difference quotient
 
16 slopes and difference quotient x
16 slopes and difference quotient x16 slopes and difference quotient x
16 slopes and difference quotient x
 
3.1 derivative of a function
3.1 derivative of a function3.1 derivative of a function
3.1 derivative of a function
 
0.5.derivatives
0.5.derivatives0.5.derivatives
0.5.derivatives
 
Project in Calcu
Project in CalcuProject in Calcu
Project in Calcu
 
vvvvvvvvvvvvvL2A_CurveRepresentations.pdf
vvvvvvvvvvvvvL2A_CurveRepresentations.pdfvvvvvvvvvvvvvL2A_CurveRepresentations.pdf
vvvvvvvvvvvvvL2A_CurveRepresentations.pdf
 
Limits, Continuity & Differentiation (Theory)
Limits, Continuity & Differentiation (Theory)Limits, Continuity & Differentiation (Theory)
Limits, Continuity & Differentiation (Theory)
 
Ch 3 lessons
Ch  3 lessons Ch  3 lessons
Ch 3 lessons
 
APPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATIONAPPLICATION OF PARTIAL DIFFERENTIATION
APPLICATION OF PARTIAL DIFFERENTIATION
 
15 translations of graphs x
15 translations of graphs x15 translations of graphs x
15 translations of graphs x
 
Module 2 lesson 4 notes
Module 2 lesson 4 notesModule 2 lesson 4 notes
Module 2 lesson 4 notes
 
Maths 12
Maths 12Maths 12
Maths 12
 
2nd-year-Math-full-Book-PB.pdf
2nd-year-Math-full-Book-PB.pdf2nd-year-Math-full-Book-PB.pdf
2nd-year-Math-full-Book-PB.pdf
 
2018-G12-Math-E.pdf
2018-G12-Math-E.pdf2018-G12-Math-E.pdf
2018-G12-Math-E.pdf
 
Lesson3.1 The Derivative And The Tangent Line
Lesson3.1 The Derivative And The Tangent LineLesson3.1 The Derivative And The Tangent Line
Lesson3.1 The Derivative And The Tangent Line
 
Manyformulas
ManyformulasManyformulas
Manyformulas
 
Limits BY ATC
Limits BY ATCLimits BY ATC
Limits BY ATC
 
Limits BY ATC
Limits BY ATCLimits BY ATC
Limits BY ATC
 

More from math265

x2.1Limits I.pptx
x2.1Limits I.pptxx2.1Limits I.pptx
x2.1Limits I.pptxmath265
 
x2.1Limits I.pptx
x2.1Limits I.pptxx2.1Limits I.pptx
x2.1Limits I.pptxmath265
 
Exercise set 4.3
Exercise set 4.3Exercise set 4.3
Exercise set 4.3math265
 
Exercise set 4.2
Exercise set 4.2Exercise set 4.2
Exercise set 4.2math265
 
Exercise set 3.7
Exercise set 3.7Exercise set 3.7
Exercise set 3.7math265
 
Exercise set 3.6
Exercise set 3.6Exercise set 3.6
Exercise set 3.6math265
 
Exercise set 3.5
Exercise set 3.5Exercise set 3.5
Exercise set 3.5math265
 
265 excel-formula-box
265 excel-formula-box265 excel-formula-box
265 excel-formula-boxmath265
 
2.7 chain rule short cuts
2.7 chain rule short cuts2.7 chain rule short cuts
2.7 chain rule short cutsmath265
 

More from math265 (9)

x2.1Limits I.pptx
x2.1Limits I.pptxx2.1Limits I.pptx
x2.1Limits I.pptx
 
x2.1Limits I.pptx
x2.1Limits I.pptxx2.1Limits I.pptx
x2.1Limits I.pptx
 
Exercise set 4.3
Exercise set 4.3Exercise set 4.3
Exercise set 4.3
 
Exercise set 4.2
Exercise set 4.2Exercise set 4.2
Exercise set 4.2
 
Exercise set 3.7
Exercise set 3.7Exercise set 3.7
Exercise set 3.7
 
Exercise set 3.6
Exercise set 3.6Exercise set 3.6
Exercise set 3.6
 
Exercise set 3.5
Exercise set 3.5Exercise set 3.5
Exercise set 3.5
 
265 excel-formula-box
265 excel-formula-box265 excel-formula-box
265 excel-formula-box
 
2.7 chain rule short cuts
2.7 chain rule short cuts2.7 chain rule short cuts
2.7 chain rule short cuts
 

Recently uploaded

2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 

Recently uploaded (20)

2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 

3.4 derivative and graphs

  • 2. Derivatives and Graphs Interval Notation We use “(” and “)” to indicate the corresponding point is excluded and we use “[” and “]” to for the inclusion of the point. a < x < b (a, b) a b a closed interval: a ≤ x ≤ b a b a ≤ x < b a [a, b) b [a, b] a < x ≤ b a b (a, b] For the unbounded intervals, use “(” or “) for ±∞, for example, “(–∞, a] or (a, ∞) are the following intervals. x < a (–∞, a] a –∞ a < x a ∞ an open interval: half–open intervals:
  • 3. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x).
  • 4. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”.
  • 5. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I y = f(x) ) I (
  • 6. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. y = f(x) (x, f(x)) I ( )
  • 7. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. y = f(x) (x, f(x)) I This means the slopes of the cords on the right side of the base point (x, f(x)) connecting to (x+h, f(x+h)) ( )
  • 8. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. This means the slopes of the cords on the right side of the base point (x, f(x)) connecting to (x+h, f(x+h)) y = f(x) (x, f(x)) (x+h, f(x+h)) I ( )
  • 9. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. This means the slopes of the cords on the right side of the base point (x, f(x)) connecting to (x+h, f(x+h)) y = f(x) (x, f(x)) (x+h, f(x+h)) I ( )
  • 10. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. This means the slopes of the cords on the right side of the base point (x, f(x)) connecting to (x+h, f(x+h)) y = f(x) (x, f(x)) (x+h, f(x+h)) I ( )
  • 11. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. This means the slopes of the cords on the right side of the base point (x, f(x)) connecting to (x+h, f(x+h)) y = f(x) (x, f(x)) (x+h, f(x+h)) I ( )
  • 12. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. This means the slopes of the cords on the right side of the base point (x, f(x)) connecting to (x+h, f(x+h)) goes to the same limit as those connecting to the left of x as h goes to 0. y = f(x) (x, f(x)) (x+h, f(x+h)) I ( )
  • 13. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. This means the slopes of the cords on the right side of the base point (x, f(x)) connecting to (x+h, f(x+h)) goes to the same limit as those connecting to the left of x as h goes to 0. y = f(x) (x, f(x)) (x+h, f(x+h)) I ( )
  • 14. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. This means the slopes of the cords on the right side of the base point (x, f(x)) connecting to (x+h, f(x+h)) goes to the same limit as those connecting to the left of x as h goes to 0. y = f(x) (x, f(x)) (x+h, f(x+h)) I ( )
  • 15. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. This means the slopes of the cords on the right side of the base point (x, f(x)) connecting to (x+h, f(x+h)) goes to the same limit as those connecting to the left of x as h goes to 0. y = f(x) (x, f(x)) (x+h, f(x+h)) I ( )
  • 16. Derivatives and Graphs In next few sections, we use the derivative y' to obtain information about the graph of function y = f(x). To see what information the derivative of a function gives us, we need to take a closer look at the notion of “the tangent line”. Let y = f(x) be continuous in an open interval I and f '(x) = lim Δy/Δx exists at some generic point x in I. This means the slopes of the cords on the right side of the base point (x, f(x)) connecting to (x+h, f(x+h)) goes to the same limit as those connecting to the left of x as h goes to 0. y = f(x) (x, f(x)) (x+h, f(x+h)) Cords from the right and left merge into one “tangent line” I ( )
  • 17. Derivatives and Graphs Hence the existence of the f '(x), i.e. having a slope, guarantees a seamless joint at (x, f(x)) from the two sides which corresponds to our notion of “smooth” at P. Therefore f '(x) exists ↔ the graph of y = f(x) is smooth at the point (x, f(x)). y = f(x) (x, f(x)) and f '(x) exists For example, if the left side cords and the right side cords converge to different lines, then there is a corner at P. hence the graph is not smooth at P. P(x, f(x)) However, if lim Δy/Δx does not exist then there are multiple possibilities. y = f(x) f '(x) fails to exist at P
  • 18. Derivatives and Graphs Let’s examine closer the geometry of the graph given that f '(x) exists. Given that f '(x) = 0, i.e. the tangent line is flat at (x, f(x)), there are four possible shapes of y = f(x). (x, f(x)) the graph y = f(x) crosses the tangent line Given that f '(x) > 0, i.e. the slope is positive at (x, f(x)), there are four possible shapes of y = f(x). the graph y = f(x) stays on the same side of the tangent line the graph y = f(x) crosses the tangent line the graph y = f(x) stays on the same side of the tangent line (x, f(x)) (x, f(x)) (x, f(x)) (x, f(x)) (x, f(x)) (x, f(x)) (x, f(x)) Draw the four possible graphs if f '(x) < 0.
  • 19. Derivatives and Graphs Given the graph below, we can easily identify the points whose tangents are horizontal lines. y = f(x) a f
  • 20. Derivatives and Graphs Given the graph below, we can easily identify the points whose tangents are horizontal lines. y = f(x) B C D E a f
  • 21. Derivatives and Graphs Given the graph below, we can easily identify the points whose tangents are horizontal lines. B C D E y = f(x) a f A point P(x, y) is a critical point if f '(x) = 0, or that f '(x) is undefined (more on this later).
  • 22. Derivatives and Graphs Given the graph below, we can easily identify the points whose tangents are horizontal lines. B C D E y = f(x) a f A point P(x, y) is a critical point if f '(x) = 0, or that f '(x) is undefined (more on this later). The critical points where f '(x) = 0 are the “flat–points”.
  • 23. Derivatives and Graphs Given the graph below, we can easily identify the points whose tangents are horizontal lines. b B C D E y = f(x) a c d e f A point P(x, y) is a critical point if f '(x) = 0, or that f '(x) is undefined (more on this later). The critical points where f '(x) = 0 are the “flat–points”. So B, C, D, and E are flat (critical) points and that f '(b) = f '(c) = .. = 0.
  • 24. Derivatives and Graphs y = f(x) the absolute maximum in the interval (a, f) A b B C D E F I a c d e f The point C above is the absolute maximum in the interval I = (a, f).
  • 25. Derivatives and Graphs y = f(x) the absolute maximum in the interval (a, f) A b B C D E F I a c d e f The point C above is the absolute maximum in the interval I = (a, f). Given a function y = f(x) with domain I and that u ϵ I, we say that (u, f(u)) is an absolute maximum in I if f(u) ≥ f(x) for all x’s in I.
  • 26. Derivatives and Graphs y = f(x) the absolute maximum in the interval (a, f) A b B C D E F I a c d e f The point C above is the absolute maximum in the interval I = (a, f). Given a function y = f(x) with domain I and that u ϵ I, we say that (u, f(u)) is an absolute maximum in I if f(u) ≥ f(x) for all x’s in I. An absolute maximum is not lower than any other point on the graph.
  • 27. Derivatives and Graphs y = f(x) the absolute maximum in the interval (a, f) A b B C D E F I a c d e f The point C above is the absolute maximum in the interval I = (a, f). Given a function y = f(x) with domain I and that u ϵ I, we say that (u, f(u)) is an absolute maximum in I if f(u) ≥ f(x) for all x’s in I. An absolute maximum is not lower than any other point on the graph. y = sin(x) has infinitely many absolute maxima. y = sin(x)
  • 28. b B C D E A a c d e f F Derivatives and Graphs However if the graph continues on and C is not the overall highest point, than we say C is a “local” maximum as shown here. C a f the absolute maximum in the interval (a, f) y = f(x)
  • 29. b B C D E A a c d e f F Derivatives and Graphs However if the graph continues on and C is not the overall highest point, than we say C is a “local” maximum as shown here. C a f g the absolute maximum in the interval (a, f) the graph is higher here y = f(x)
  • 30. b B C D E A a c d e f F Derivatives and Graphs However if the graph continues on and C is not the overall highest point, than we say C is a “local” maximum as shown here. C a local maximum in the interval (a, g) a f g the absolute maximum in the interval (a, f) the graph is higher here y = f(x)
  • 31. b B C D E A a c d e f F Derivatives and Graphs However if the graph continues on and C is not the overall highest point, than we say C is a “local” maximum as shown here. In general, we say that (u, f(u)) is a local maximum if C f(u) ≥ f(x) for all x’s in some open neighborhood N in the a local maximum domain as shown here. in the interval (a, g) N g a f the absolute maximum in the interval (a, f) the graph is higher here y = f(x)
  • 32. b B C D the absolute minimum at x = e E y = f(x) A a c d e f F Derivatives and Graphs The point E above is the absolute minimum in (a, f).
  • 33. b B C D the absolute minimum at x = e E y = f(x) A a c d e f F Derivatives and Graphs The point E above is the absolute minimum in (a, f). Similarly we say that (v, f(v)) is an absolute minimum if f(x) ≥ f(v) for all x’s in the domain I.
  • 34. b B C D the absolute minimum at x = e E y = f(x) A a c d e f F Derivatives and Graphs The point E above is the absolute minimum in (a, f). Similarly we say that (v, f(v)) is an absolute minimum if f(x) ≥ f(v) for all x’s in the domain I. An absolute minimum is not lower than any other point on the graph.
  • 35. b B C D the absolute minimum at x = e E y = f(x) A a c d e f F Derivatives and Graphs The point E above is the absolute minimum in (a, f). Similarly we say that (v, f(v)) is an absolute minimum if f(x) ≥ f(v) for all x’s in the domain I. y = tan(x) An absolute minimum is not lower than any other point on the graph. Note that y = tan(x) does not have any extremum in the interval (–π/2, π/2). –π/2 π/2
  • 36. Derivatives and Graphs b B A a E e f F C c We say that the function is increasing at x if f '(x) > 0 and we say that f (x) is increasing in an open interval I if f '(x) > 0 for all x’s in I.
  • 37. Derivatives and Graphs b B increasing A a E e f F C c We say that the function is increasing at x if f '(x) > 0 and we say that f (x) is increasing in an open interval I if f '(x) > 0 for all x’s in I. The curve above is increasing in (a, b),
  • 38. Derivatives and Graphs increasing b B increasing A a increasing E e f F C c We say that the function is increasing at x if f '(x) > 0 and we say that f (x) is increasing in an open interval I if f '(x) > 0 for all x’s in I. The curve above is increasing in (a, b), (b, c) and (e, f).
  • 39. Derivatives and Graphs increasing b B increasing A a increasing E e f F C u < v c We say that the function is increasing at x if f '(x) > 0 and we say that f (x) is increasing in an open interval I if f '(x) > 0 for all x’s in I. The curve above is increasing in (a, b), (b, c) and (e, f). If f(x) is increasing in an interval I, and u, v are any two points in I with u < v,
  • 40. Derivatives and Graphs increasing b B increasing A a increasing E e f F C f(u)< f(v) u < v c We say that the function is increasing at x if f '(x) > 0 and we say that f (x) is increasing in an open interval I if f '(x) > 0 for all x’s in I. The curve above is increasing in (a, b), (b, c) and (e, f). If f(x) is increasing in an interval I, and u, v are any two points in I with u < v, then f(u) < f(v).
  • 41. Derivatives and Graphs increasing b B increasing A a increasing E e f F C f(u)< f(v) u < v c We say that the function is increasing at x if f '(x) > 0 and we say that f (x) is increasing in an open interval I if f '(x) > 0 for all x’s in I. The curve above is increasing in (a, b), (b, c) and (e, f). If f(x) is increasing in an interval I, and u, v are any two points in I with u < v, then f(u) < f(v). We say that f(x) is non–decreasing if f(u) ≤ f(v) for any u < v.
  • 42. Derivatives and Graphs C c D E d e We say that the function is decreasing at x if f '(x) < 0 and we say that f (x) is decreasing in an open interval I if f '(x) < 0 for all x’s in I.
  • 43. Derivatives and Graphs decreasing C decreasing c D E d e We say that the function is decreasing at x if f '(x) < 0 and we say that f (x) is decreasing in an open interval I if f '(x) < 0 for all x’s in I. The curve above is decreasing in (c, d), and (d, e).
  • 44. Derivatives and Graphs decreasing C decreasing c D E f(u) > f(v) d u < v e We say that the function is decreasing at x if f '(x) < 0 and we say that f (x) is decreasing in an open interval I if f '(x) < 0 for all x’s in I. The curve above is decreasing in (c, d), and (d, e). If f(x) is decreasing in an interval I, and u, v are any two points in I with u < v, then f(u) > f(v).
  • 45. Derivatives and Graphs decreasing C decreasing c D E f(u) > f(v) d u < v e We say that the function is decreasing at x if f '(x) < 0 and we say that f (x) is decreasing in an open interval I if f '(x) < 0 for all x’s in I. The curve above is decreasing in (c, d), and (d, e). If f(x) is decreasing in an interval I, and u, v are any two points in I with u < v, then f(u) > f(v). We say that f(x) is non–increasing if f(u) ≥ f(v) for any u < v.
  • 46. Derivatives and Graphs Summary of the graphs given the sign of f '(x). f '(x) = slope = 0 max, min, flat–landing point (x, f(x)) Draw them. (x, f(x)) (x, f(x)) (x, f(x)) f '(x) = slope > 0 increasing, going uphill (x, f(x)) (x, f(x)) (x, f(x)) (x, f(x)) f '(x) = slope < 0 decreasing, going downhill Let’s apply the above observations to the monomial functions y = xN where N = 2,3,4..
  • 47. Derivatives and Graphs The graphs y = xeven The derivative of y = xeven is y' = #xodd. So if x < 0, y' < 0, the function is decreasing, and if x > 0, y > 0 and y is increasing. y = x6 y = x4 y = x2 (-1, 1) (1, 1) y' < 0 y' > 0 (0,0) (0, 0) is the absolute min.
  • 48. Derivatives and Graphs The graphs y = xodd The graphs y = xeven The derivative of y = xeven is y' = #xodd. So if x < 0, y' < 0, the function is decreasing, and if x > 0, y > 0 and y is increasing. The derivative of y = xodd is y' = #xeven. For x ≠ 0, y' > 0, so the function is increasing where x ≠ 0. y = x5 y = x3 y = x7 (1, 1) (-1, -1) y = x6 y = x4 y = x2 (-1, 1) (1, 1) (0,0) y' < 0 y' > 0 (0,0) y' > 0 except at y'(0) = 0 (0, 0) is the absolute min. (0, 0) is a flat–landing.
  • 49. Derivatives and Graphs Here are the general steps for graphing.
  • 50. Derivatives and Graphs Here are the general steps for graphing. Steps 1 and 2 do not require calculus. 1. Determine the domain of f(x) and the behavior of y as x approaches the boundary of the domain. 2. Use the roots and asymptotes to make the sign–chart and determine the general shape of the graph.
  • 51. Derivatives and Graphs Here are the general steps for graphing. Steps 1 and 2 do not require calculus. 1. Determine the domain of f(x) and the behavior of y as x approaches the boundary of the domain. 2. Use the roots and asymptotes to make the sign–chart and determine the general shape of the graph. Step 3 and 4 uses the 1st derivative of f(x). 3. Find the derivative f '(x), use the roots of f '(x) = 0 to find the extrema and flat–points. 4. Make the sign–chart of f '(x) to determine the terrain of y = f (x), i.e. the graph is going uphill where f '(x) > 0 and downhill where f '(x) < 0.
  • 52. Derivatives and Graphs The domain of polynomials is the set of all real numbers. Polynomial graphs are smooth everywhere because derivatives of polynomials are well defined polynomials.
  • 53. Derivatives and Graphs The domain of polynomials is the set of all real numbers. Polynomial graphs are smooth everywhere because derivatives of polynomials are well defined polynomials. Example A. Graph y = 9x – x3. Find the locations of the extrema, the flat points and classify them. For what x values is y increasing and for what x values is y decreasing?
  • 54. Derivatives and Graphs The domain of polynomials is the set of all real numbers. Polynomial graphs are smooth everywhere because derivatives of polynomials are well defined polynomials. Example A. Graph y = 9x – x3. Find the locations of the extrema, the flat points and classify them. For what x values is y increasing and for what x values is y decreasing? We start by factoring to locate the roots. 9x – x3 = x(3 – x)(3 + x), hence x = 0, 3, –3 are the roots and each is of order 1.
  • 55. Derivatives and Graphs The domain of polynomials is the set of all real numbers. Polynomial graphs are smooth everywhere because derivatives of polynomials are well defined polynomials. Example A. Graph y = 9x – x3. Find the locations of the extrema, the flat points and classify them. For what x values is y increasing and for what x values is y decreasing? We start by factoring to locate the roots. 9x – x3 = x(3 – x)(3 + x), hence x = 0, 3, –3 are the roots and each is of order 1. The sign–chart and the graph of f(x) is shown here.
  • 56. Derivatives and Graphs The domain of polynomials is the set of all real numbers. Polynomial graphs are smooth everywhere because derivatives of polynomials are well defined polynomials. Example A. Graph y = 9x – x3. Find the locations of the extrema, the flat points and classify them. For what x values is y increasing and for what x values is y decreasing? We start by factoring to locate the roots. 9x – x3 = x(3 – x)(3 + x), hence x = 0, 3, –3 are the roots and each is of order 1. The sign–chart and the graph of f(x) is shown here. x y + – + – –3 0 3 y = 9x – x3
  • 57. Derivatives and Graphs The domain of polynomials is the set of all real numbers. Polynomial graphs are smooth everywhere because derivatives of polynomials are well defined polynomials. Example A. Graph y = 9x – x3. Find the locations of the extrema, the flat points and classify them. For what x values is y increasing and for what x values is y decreasing? We start by factoring to locate the roots. x y + – + – –3 0 3 y = 9x – x3 9x – x3 = x(3 – x)(3 + x), hence x = 0, 3, –3 are the roots and each is of order 1. The sign–chart and the graph of f(x) is shown here.
  • 58. Derivatives and Graphs The derivative is y' = (9x – x3)' = 9 – 3x2. x y y = 9x – x3 + – + – –3 0 3
  • 59. Derivatives and Graphs The derivative is y' = (9x – x3)' = 9 – 3x2. Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 x y y = 9x – x3 + – + – –3 0 3
  • 60. Derivatives and Graphs The derivative is y' = (9x – x3)' = 9 – 3x2 Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 x y + – + – –3 0 3 the corresponding points on the graphs are (√3, 9√3 – (√3)3) = (√3, 6√3) and (–√3, –6√3) which are the unique local max. and the local min. respectively. y = 9x – x3
  • 61. Derivatives and Graphs The derivative is y' = (9x – x3)' = 9 – 3x2 Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 x y + – + – –3 0 3 the corresponding points on the graphs are (√3, 9√3 – (√3)3) = (√3, 6√3) and (–√3, –6√3) which are the unique local max. and the local min. respectively. y = 9x – x3 (√3, 6√3) (–√3, –6√3) Label these points on the graph.
  • 62. Derivatives and Graphs The derivative is y' = (9x – x3)' = 9 – 3x2 Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 is shown below the graph. x y + – + – –3 0 3 the corresponding points on the graphs are (√3, 9√3 – (√3)3) = (√3, 6√3) and (–√3, –6√3) which are the unique local max. and the local min. respectively. y = 9x – x3 (√3, 6√3) (–√3, –6√3) Label these points on the graph. The sign–chart of the y' = 9 – 3x2 = 3(3 – x2) = 3(x – √3)(x + √3)
  • 63. Derivatives and Graphs The derivative is y' = (9x – x3)' = 9 – 3x2 Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 is shown below the graph. x y + – + – –3 0 3 the corresponding points on the graphs are (√3, 9√3 – (√3)3) = (√3, 6√3) and (–√3, –6√3) which are the unique local max. and the local min. respectively. y = 9x – x3 (√3, 6√3) (–√3, –6√3) –√3 √3 Label these points on the graph. The sign–chart of the y' = 9 – 3x2 = 3(3 – x2) = 3(x – √3)(x + √3) y' = -3(x–√3)(x+√3)
  • 64. Derivatives and Graphs The derivative is y' = (9x – x3)' = 9 – 3x2 Set y' = 9 – 3x2 = 3(3 – x2) = 0  x = ±√3 is shown below the graph. x y + – + – –3 0 3 the corresponding points on the graphs are (√3, 9√3 – (√3)3) = (√3, 6√3) and (–√3, –6√3) which are the unique local max. and the local min. respectively. y = 9x – x3 (√3, 6√3) (–√3, –6√3) –√3 √3 Label these points on the graph. The sign–chart of the y' = 9 – 3x2 = 3(3 – x2) = 3(x – √3)(x + √3) y' = -3(x–√3)(x+√3) y' is + uphill y' is – downhill y' is – downhill
  • 65. Derivatives and Graphs At a maximum point the graph must be changing from going uphill to going downhill Max up down
  • 66. Derivatives and Graphs At a maximum point the graph must be changing from going uphill to going downhill and at the minimum point it must be changing from going downhill to uphill. Max up down down up Min
  • 67. Derivatives and Graphs At a maximum point the graph must be changing from going uphill to going downhill and at the minimum point it must be changing from going downhill to uphill. Hence the signs of the y' must change at these critical points. Max up down down up Min
  • 68. Derivatives and Graphs Max up down At a maximum point the graph must be changing from going uphill to going downhill and at the minimum point it must be changing from going downhill to uphill. Hence the signs of the y' must change at these critical points. Both f(x) = x3(3 – x)(3 + x) = x3(9 – x2) = 9x3 – x5 and g(x) = x(9 – x2) have the same sign–chart so both graphs are similar. down up Min
  • 69. Derivatives and Graphs At a maximum point the graph must be changing from going uphill to going downhill and at the minimum point it must be changing from going downhill to uphill. Hence the signs of the y' must change at these critical points. up down down up Both f(x) = x3(3 – x)(3 + x) = x3(9 – x2) = 9x3 – x5 and g(x) = x(9 – x2) have the same sign–chart so both graphs are similar. However, for f(x) it’s derivative f '(x) = [9x3 – x5 ]' = 27x2 – 5x4 = x2(27 – 5x2). Max Min
  • 70. Derivatives and Graphs At a maximum point the graph must be changing from going uphill to going downhill and at the minimum point it must be changing from going downhill to uphill. Hence the signs of the y' must change at these critical points. up down down up Both f(x) = x3(3 – x)(3 + x) = x3(9 – x2) = 9x3 – x5 and g(x) = x(9 – x2) have the same sign–chart so both graphs are similar. However, for f(x) it’s derivative f '(x) = [9x3 – x5 ]' = 27x2 – 5x4 = x2(27 – 5x2). signs around x = 0 of f '(x) = x2(27 – 5x2) + uphill + uphill f '(0)=0 with order 2 Max Min
  • 71. Derivatives and Graphs At a maximum point the graph must be changing from going uphill to going downhill and at the minimum point it must be changing from going downhill to uphill. Hence the signs of the y' must change at these critical points. Max up down down up Min Both f(x) = x3(3 – x)(3 + x) = x3(9 – x2) = 9x3 – x5 and g(x) = x(9 – x2) have the same sign–chart so both graphs are similar. However, for f(x) it’s derivative f '(x) = [9x3 – x5 ]' = 27x2 – 5x4 = x2(27 – 5x2). + uphill + uphill f '(0)=0 with order 2 signs around x = 0 of f '(x) = x2(27 – 5x2) The sign of f '(x) is positive on both sides of x = 0, so (0, 0) is not a max nor min, it’s a flat landing point.
  • 72. Derivatives and Graphs We put the two graphs side by side for comparison. y = g(x) = 9x – x3 y = f(x) = x2g(x) = 9x3 – x5 x y + – + – –3 0 3 x + – + – –3 0 3 f(0) = 0 of order 3, and f'(0) = 0 of order 2, flat point f(0) = 0 of order 1, and f'(0) = 9 > 0, uphill y
  • 73. Derivatives and Graphs We put the two graphs side by side for comparison. y = g(x) = 9x – x3 y = f(x) = x2g(x) = 9x3 – x5 x y + – + – –3 0 3 x + – + – –3 0 3 f(0) = 0 of order 3, and f'(0) = 0 of order 2, flat point f(0) = 0 of order 1, and f'(0) = 9 > 0, uphill y So if f '(x) = 0 of even order, then it’s a flat landing point, not a max nor min.
  • 74. Derivatives and Graphs We put the two graphs side by side for comparison. y = g(x) = 9x – x3 y = f(x) = x2g(x) = 9x3 – x5 x y + – + – –3 0 3 x + – + – –3 0 3 f(0) = 0 of order 3, and f'(0) = 0 of order 2, flat point f(0) = 0 of order 1, and f'(0) = 9 > 0, uphill y So if f '(x) = 0 of even order, then it’s a flat landing point, not a max nor min. Example B. Graph y = x + sin(x). Find the locations of the extrema, the flat points and classify them. For what x values is y increasing and for what x values is y decreasing?
  • 75. Derivatives and Graphs We observe that f(x) = x + sin(x) = 0 if x = 0.
  • 76. Derivatives and Graphs We observe that f(x) = x + sin(x) = 0 if x = 0. Furthermore, f(x) > 0 if x > 0, f(x) < 0 if x < 0 (why?), and as x →±∞, f(x) →±∞
  • 77. Derivatives and Graphs We observe that f(x) = x + sin(x) = 0 if x = 0. Furthermore, f(x) > 0 if x > 0, f(x) < 0 if x < 0 (why?), and as x →±∞, f(x) →±∞ The derivative f '(x) = 1 + cos(x) = 0 so the critical points f '(x) = 0 are at x = ±π, ±3 π, .. where cos(x) = –1.
  • 78. Derivatives and Graphs We observe that f(x) = x + sin(x) = 0 if x = 0. Furthermore, f(x) > 0 if x > 0, f(x) < 0 if x < 0 (why?), and as x →±∞, f(x) →±∞ The derivative f '(x) = 1 + cos(x) = 0 so the critical points f '(x) = 0 are at x = ±π, ±3 π, .. where cos(x) = –1. x y = f(x) π π 3π 3π 5π 5π –π –π –3π –3π –5π –5π some points where f '(x) = 0 In particular f(π) = π, f(3π) = 3π, etc.. so the flat points of y = f(x) are at (x, x) with x = ± π, ±3 π, ±5 π..
  • 79. Derivatives and Graphs We observe that f(x) = x + sin(x) = 0 if x = 0. Furthermore, f(x) > 0 if x > 0, f(x) < 0 if x < 0 (why?), and as x →±∞, f(x) →±∞ The derivative f '(x) = 1 + cos(x) = 0 so the critical points f '(x) = 0 are at x = ±π, ±3 π, .. where cos(x) = –1. x y = f(x) π π 3π 3π 5π 5π –π –π –3π –3π –5π –5π some points where f '(x) = 0 In particular f(π) = π, f(3π) = 3π, etc.. so the flat points of y = f(x) are at (x, x) with x = ± π, ±3 π, ±5 π.. Furthermore the derivative f '(x) = 1 + cos(x) > 0 so f(x) = x + sin(x) is increasing everywhere else. Let’s putting it all together.
  • 80. Derivatives and Graphs Here is a table of some of the points where y’ = 0, i.e. their tangents are horizontal . x y π π 3π 3π 5π 5π –π –π –3π –3π –5π –5π points where f '(x) = 0
  • 81. Derivatives and Graphs x y π π 3π 3π 5π 5π –π –π –3π –3π –5π –5π Here is a table of some of the points where y’ = 0, i.e. their tangents are horizontal . (π, π) (3π, 3π) (–π, –π) (–3π, –3π) (0, 0) points where f '(x) = 0
  • 82. Derivatives and Graphs x y π π 3π 3π 5π 5π –π –π –3π –3π –5π –5π Here is a table of some of the points where y’ = 0, i.e. their tangents are horizontal . The graph is a continuous smooth curve that is increasing between all the horizontal locations. (π, π) (3π, 3π) (–π, –π) (–3π, –3π) (0, 0) points where f '(x) = 0
  • 83. Derivatives and Graphs x y π π 3π 3π 5π 5π –π –π –3π –3π –5π –5π Here is a table of some of the points where y’ = 0, i.e. their tangents are horizontal . The graph is a continuous smooth curve that is increasing between all the horizontal locations. The only possibility for a smooth increasing curve between two flat–spots is shown here. (π, π) (3π, 3π) (–π, –π) (–3π, –3π) (0, 0) points where f '(x) = 0
  • 84. Derivatives and Graphs Here is a table of some of the points where y’ = 0, i.e. their tangents are horizontal . The graph is a continuous smooth curve that is increasing between all the horizontal locations. The only possibility for a smooth increasing curve between two flat–spots is shown here. x y π π 3π 3π 5π 5π –π –π –3π –3π –5π –5π (π, π) (3π, 3π) (–π, –π) (–3π, –3π) (0, 0) points where f '(x) = 0
  • 85. Derivatives and Graphs The graph is a continuous smooth curve that is increasing between all the horizontal locations. The only possibility for a smooth increasing curve between two flat–spots is shown here. x y π π 3π 3π 5π 5π –π –π –3π –3π –5π –5π Here is a table of some of the points where y’ = 0, i.e. their tangents are horizontal . points where f '(x) = 0 (π, π) (3π, 3π) (–π, –π) (–3π, –3π) (0, 0)
  • 86. Derivatives and Graphs The graph is a continuous smooth curve that is increasing between all the horizontal locations. The only possibility for a smooth increasing curve between two flat–spots is shown here. x y π π 3π 3π 5π 5π –π –π –3π –3π –5π –5π Here is a table of some of the points where y’ = 0, i.e. their tangents are horizontal . points where f '(x) = 0 (π, π) (3π, 3π) (–π, –π) (–3π, –3π) (0, 0) Hence the graph of y = x + sin(x) is:
  • 87. Derivatives and Graphs The critical points where f '(x) fails to exist are “corners”, or at points where the tangent line is vertical. Questions a. Find f '(x) as x → 0+, and as x → 0– for each of the following function. b. How does their graphs at x = 0 reflect the answers from a? f (x) = | x | f (x) = x2/3 f (x) = x1/3