SlideShare a Scribd company logo
1 of 91
More on Area
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
a=x b=x
R
More on Area
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
a=x b=x
R
More on Area
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
Let L(x) = cross–sectional length at x.
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
a=x b=x
R
More on Area
L(x)
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
Let L(x) = cross–sectional length at x.
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
a=x b=x
R
More on Area
L(x)
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
Let L(x) = cross–sectional length at x.
Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of
[a, b]
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
Let L(x) = cross–sectional length at x.
a=x0 b=xn
Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of
[a, b]
x1 x2 xi–1 xi
R
More on Area
L(x)
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
Let L(x) = cross–sectional length at x.
a=x0 b=xn
Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of
[a, b] and select an arbitrary point xi in each sub-interval
[x i–1, xi].
x1 x2 xi–1 xi
R
More on Area
L(x)
*
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
Let L(x) = cross–sectional length at x.
a=x0 b=x
Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of
[a, b] and select an arbitrary point xi in each sub-interval
[x i–1, xi].
*
x1 x2
x1
*
xi–1 xi
R
More on Area
L(x)
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
Let L(x) = cross–sectional length at x.
a=x0 b=x
Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of
[a, b] and select an arbitrary point xi in each sub-interval
[x i–1, xi].
x1 x2
x1
* x2
*
xi–1 xi
R
More on Area
L(x)
*
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
Let L(x) = cross–sectional length at x.
a=x0 b=x
Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of
[a, b] and select an arbitrary point xi in each sub-interval
[x i–1, xi].
x1 x2
x1
* x2
* x3
*
xi–1 xi
xi
*
R
More on Area
L(xi)
*
*
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
Let L(x) = cross–sectional length at x.
a=x0 b=x
Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of
[a, b] and select an arbitrary point xi in each sub-interval
[x i–1, xi]. Let Δx = the width of each subinterval.
x1 x2
x1
* x2
* x3
*
xi–1 xi
xi
*
R
More on Area
*
L(xi)*
Given a 2D region R, and we would like to find its area.
Take a ruler and measure R from one end to the another, let x
be the measurements and that R spans from x = a to x = b.
Let L(x) = cross–sectional length at x.
a=x0 b=x
Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of
[a, b] and select an arbitrary point xi in each sub-interval
[x i–1, xi]. Let Δx = the width of each subinterval. The rectangle
with L(xi) as height and Δx as width approximates the area in R
that is spanned from xi–1 to xi.
x1 x2
x1
* x2
* x3
*
xi–1 xi
xi
*
R
More on Area
*
*
Δx
L(xi)*
More on Area
a=x0 b=xx1 x2 xi–1 xi
x1
* x2
* x3
* xi
*
R
The Riemann sum
More on Area
a=x0 b=xx1 x2 xi–1 xi
x1
* x2
* x3
* xi
*
R
L(x1)Δx*The Riemann sum
L(x1)*
Δx
More on Area
a=x0 b=xx1 x2 xi–1 xi
x1
* x2
* x3
* xi
*
R
L(x1)Δx+* L(x2)Δx+ …*The Riemann sum
L(x1) L(x2)* *
Δx
Δx
More on Area
a=x0 b=xx1 x2 xi–1 xi
x1
* x2
* x3
* xi
*
L(xi)
Δx
R
L(x1)Δx+* L(x2)Δx+ …* L(xn)Δx*The Riemann sum
L(x1) L(x2)* *
*
Δx
Δx
L(xn)*
Δx
xn
*
More on Area
a=x0 b=xx1 x2 xi–1 xi
x1
* x2
* x3
* xi
*
L(xi)
Δx
R
L(x1)Δx+*
i=1
n
∑ L(xi)Δx*L(x2)Δx+ …* L(xn)Δx =*The Riemann sum
of all such rectangles approximates the area of R.
L(x1) L(x2)* *
*
Δx
Δx
xn
*
Δx
L(xn)*
More on Area
a=x0 b=xx1 x2 xi–1 xi
x1
* x2
* x3
* xi
*
L(xi)
Δx
In fact the mathematical definition of the area of R is the limit
R
L(x1)Δx+*
i=1
n
∑ L(xi)Δx*L(x2)Δx+ …* L(xn)Δx =*The Riemann sum
of all such rectangles approximates the area of R.
n
∑ L(xi)Δx as Δx 0 or n ∞,*of the Riemann sums
L(x1) L(x2)* *
*
Δx
Δx
xn
*
Δx
L(xn)*
More on Area
a=x0 b=xx1 x2 xi–1 xi
x1
* x2
* x3
* xi
*
L(xi)
Δx
In fact the mathematical definition of the area of R is the limit
the area of R =∫x=a
b
L(x) dx.
R
L(x1)Δx+*
i=1
n
∑ L(xi)Δx*L(x2)Δx+ …* L(xn)Δx =*The Riemann sum
of all such rectangles approximates the area of R.
n
∑ L(xi)Δx as Δx 0 or n ∞, so*of the Riemann sum
by the FTC
L(x1) L(x2)* *
*
Δx
Δx
xn
*
Δx
L(xn)*
More on Area
a=x0 b=xx1 x2 xi–1 xi
x1
* x2
* x3
* xi
*
L(xi)
Δx
In fact the mathematical definition of the area of R is the limit
the area of R =∫x=a
b
L(x) dx.
R
L(x1)Δx+*
i=1
n
∑ L(xi)Δx*L(x2)Δx+ …* L(xn)Δx =*The Riemann sum
of all such rectangles approximates the area of R.
n
∑ L(xi)Δx as Δx 0 or n ∞, so*of the Riemann sum
by the FTC
Theorem. The area of a 2D region is the definite integral of its
cross–section (length) function.
L(x1) L(x2)* *
*
Δx
Δx
xn
*
Δx
L(xn)*
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
More on Area
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
More on Area
y = –x2 + 2x
y = x2
y = –x2 + 2x
y = x2
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
We need to find the span
of the area.
More on Area
y = –x2 + 2x
y = x2
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
We need to find the span
of the area. They are the
x–coordinates of the
intersections of the curves.
More on Area
y = –x2 + 2x
y = x2
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
We need to find the span
of the area. They are the
x–coordinates of the
intersections of the curves.
More on Area
y = –x2 + 2x
y = x2
Set the equations equal to
find the intersection points.
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
We need to find the span
of the area. They are the
x–coordinates of the
intersections of the curves.
More on Area
y = –x2 + 2x
y = x2
Set the equations equal to
find the intersection points.
x2 = –x2 + 2x
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
We need to find the span
of the area. They are the
x–coordinates of the
intersections of the curves.
More on Area
y = –x2 + 2x
y = x2
Set the equations equal to
find the intersection points.
x2 = –x2 + 2x
2x2 = 2x
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
We need to find the span
of the area. They are the
x–coordinates of the
intersections of the curves.
More on Area
y = –x2 + 2x
y = x2
Set the equations equal to
find the intersection points.
x2 = –x2 + 2x
2x2 = 2x
2x(x – 1) = 0 so x = 0, 1.
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
We need to find the span
of the area. They are the
x–coordinates of the
intersections of the curves.
More on Area
y = –x2 + 2x
y = x2
Set the equations equal to
find the intersection points.
x2 = –x2 + 2x
2x2 = 2x
2x(x – 1) = 0 so x = 0, 1.
Hence the area is ∫x=0
1
(–x2 + 2x) – x2 dx
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
We need to find the span
of the area. They are the
x–coordinates of the
intersections of the curves.
More on Area
y = –x2 + 2x
y = x2
Set the equations equal to
find the intersection points.
x2 = –x2 + 2x
2x2 = 2x
2x(x – 1) = 0 so x = 0, 1.
Hence the area is ∫x=0
1
(–x2 + 2x) – x2 dx = ∫
1
–2x2 + 2x dx
0
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
We need to find the span
of the area. They are the
x–coordinates of the
intersections of the curves.
More on Area
y = –x2 + 2x
y = x2
Set the equations equal to
find the intersection points.
x2 = –x2 + 2x
2x2 = 2x
2x(x – 1) = 0 so x = 0, 1.
Hence the area is ∫x=0
1
(–x2 + 2x) – x2 dx = ∫
1
–2x2 + 2x dx
=
–2
3
x3 + x2 |
0
0
1
Example A.
a. Find the area bounded by y = –x2 + 2x and y = x2
We need to find the span
of the area. They are the
x–coordinates of the
intersections of the curves.
More on Area
y = –x2 + 2x
y = x2
Set the equations equal to
find the intersection points.
x2 = –x2 + 2x
2x2 = 2x
2x(x – 1) = 0 so x = 0, 1.
Hence the area is ∫x=0
1
(–x2 + 2x) – x2 dx = ∫
1
–2x2 + 2x dx
=
–2
3
x3 + x2 |
0
0
1
=
1
3
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
More on Area
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
The bounded area consists
of two parts.
More on Area
f(x) = 2x – x3
g(x) = –x2
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x).
More on Area
f(x) = 2x – x3
g(x) = –x2
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x). The
second part is has f(x) on
top.
More on Area
f(x) = 2x – x3
g(x) = –x2
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x). The
second part is has f(x) on
top. We set the equations
equal to solve for the span.
More on Area
f(x) = 2x – x3
g(x) = –x2
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x). The
second part is has f(x) on
top. We set the equations
equal to solve for the span.
More on Area
–x2 = 2x – x3
f(x) = 2x – x3
g(x) = –x2
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x). The
second part is has f(x) on
top. We set the equations
equal to solve for the span.
More on Area
–x2 = 2x – x3
x3 – x2 – 2x = 0
f(x) = 2x – x3
g(x) = –x2
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x). The
second part is has f(x) on
top. We set the equations
equal to solve for the span.
More on Area
–x2 = 2x – x3
x3 – x2 – 2x = 0
x(x2 – x – 2) = 0
f(x) = 2x – x3
g(x) = –x2
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x). The
second part is has f(x) on
top. We set the equations
equal to solve for the span.
More on Area
–x2 = 2x – x3
x3 – x2 – 2x = 0
x(x2 – x – 2) = 0
f(x) = 2x – x3
g(x) = –x2
x(x – 2)(x + 1) = 0 so x = –1, 0, and 2.
–1 0 2
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x). The
second part is has f(x) on
top. We set the equations
equal to solve for the span.
More on Area
–x2 = 2x – x3
x3 – x2 – 2x = 0
x(x2 – x – 2) = 0
Therefore the span for the 1st area is from x = –1 to x = 0
f(x) = 2x – x3
g(x) = –x2
x(x – 2)(x + 1) = 0 so x = –1, 0, and 2.
–1 0 2
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x). The
second part is has f(x) on
top. We set the equations
equal to solve for the span.
More on Area
–x2 = 2x – x3
x3 – x2 – 2x = 0
x(x2 – x – 2) = 0
Therefore the span for the 1st area is from x = –1 to x = 0
and the span for the 2nd area is from x = 0 to x = 2.
f(x) = 2x – x3
g(x) = –x2
x(x – 2)(x + 1) = 0 so x = –1, 0, and 2.
–1 0 2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x). The
second part is has f(x) on
top. We set the equations
equal to solve for the span.
More on Area
f(x) = 2x – x3
g(x) = –x2
–x2 = 2x – x3
x3 – x2 – 2x = 0
x(x2 – x – 2) = 0
x(x – 2)(x + 1) = 0 so x = –1, 0, and 2.
Therefore the span for the 1st area is from x = –1 to x = 0
and the span for the 2nd area is from x = 0 to x = 2.
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
–1 0 2
The bounded area consists
of two parts. The first part
is bounded above by g(x)
and below by f(x). The
second part is has f(x) on
top. We set the equations
equal to solve for the span.
More on Area
f(x) = 2x – x3
g(x) = –x2
–x2 = 2x – x3
x3 – x2 – 2x = 0
x(x2 – x – 2) = 0
x(x – 2)(x + 1) = 0 so x = –1, 0, and 2.
Therefore the span for the 1st area is from x = –1 to x = 0
and the span for the 2nd area is from x = 0 to x = 2.
We label them as A1 and A2 as shown.
A1
A2
b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2
–1 0 2
More on Area
∫x= –1
0
–x2 – (2x – x3) dx
Hence the total bounded area is
A1
f(x) = x – x3
g(x) = –x2
–1 0 2
A2
A1
More on Area
∫x= –1
0
–x2 – (2x – x3) dx
Hence the total bounded area is
+ ∫x= 0
2
2x – x3 – (–x2) dx
A1 A2
f(x) = x – x3
g(x) = –x2
–1 0 2
A2
A1
More on Area
= ∫–1
x3 – x2 – 2x dx +∫0
– x3 + x2 + 2x dx
∫x= –1
0
–x2 – (2x – x3) dx
Hence the total bounded area is
+ ∫x= 0
2
2x – x3 – (–x2) dx
0 2
A1 A2
f(x) = x – x3
g(x) = –x2
–1 0 2
A2
A1
More on Area
= ∫–1
x3 – x2 – 2x dx +∫0
– x3 + x2 + 2x dx
x4
4
–=
x3
3
– x2|–1
0
+ –x4
4
+ x3
3
+ x2
|
2
∫x= –1
0
–x2 – (2x – x3) dx
Hence the total bounded area is
+ ∫x= 0
2
2x – x3 – (–x2) dx
0 2
A1 A2
f(x) = x – x3
g(x) = –x2
–1 0 2
A2
A1
0
More on Area
= ∫–1
x3 – x2 – 2x dx +∫0
– x3 + x2 + 2x dx
x4
4
–=
x3
3
– x2|–1
0
+ –x4
4
+ x3
3
+ x2
|0
2
=
5
12 +
8
3 = 37
12
f(x) = x – x3
g(x) = –x2
–1 0 2
A2
A1
∫x= –1
0
–x2 – (2x – x3) dx
Hence the total bounded area is
+ ∫x= 0
2
2x – x3 – (–x2) dx
0 2
A1 A2
More on Area
= ∫–1
x3 – x2 – 2x dx +∫0
– x3 + x2 + 2x dx
x4
4
–=
x3
3
– x2|–1
0
+ –x4
4
+ x3
3
+ x2
|0
2
=
5
12 +
8
3 = 37
12
f(x) = x – x3
g(x) = –x2
–1 0 2
A2
A1
∫x= –1
0
–x2 – (2x – x3) dx
Hence the total bounded area is
+ ∫x= 0
2
2x – x3 – (–x2) dx
0 2
A1 A2
Type I and Type II Regions
More on Area
= ∫–1
x3 – x2 – 2x dx +∫0
– x3 + x2 + 2x dx
x4
4
–=
x3
3
– x2|–1
0
+ –x4
4
+ x3
3
+ x2
|0
2
=
5
12 +
8
3 = 37
12
f(x) = x – x3
g(x) = –x2
–1 0 2
A2
A1
∫x= –1
0
–x2 – (2x – x3) dx
Hence the total bounded area is
+ ∫x= 0
2
2x – x3 – (–x2) dx
0 2
A1 A2
Type I and Type II Regions
Area of a region is the integral of
its cross-sectional lengths.
More on Area
= ∫–1
x3 – x2 – 2x dx +∫0
– x3 + x2 + 2x dx
x4
4
–=
x3
3
– x2|–1
0
+ –x4
4
+ x3
3
+ x2
|0
2
=
5
12 +
8
3 = 37
12
f(x) = x – x3
g(x) = –x2
–1 0 2
A2
A1
∫x= –1
0
–x2 – (2x – x3) dx
Hence the total bounded area is
+ ∫x= 0
2
2x – x3 – (–x2) dx
0 2
A1 A2
Type I and Type II Regions
Area of a region is the integral of
its cross-sectional lengths. Above examples
are integrals across vertical cross-sectional length L(x).
More on Area
= ∫–1
x3 – x2 – 2x dx +∫0
– x3 + x2 + 2x dx
x4
4
–=
x3
3
– x2|–1
0
+ –x4
4
+ x3
3
+ x2
|0
2
=
5
12 +
8
3 = 37
12
f(x) = x – x3
g(x) = –x2
–1 0 2
A2
A1
∫x= –1
0
–x2 – (2x – x3) dx
Hence the total bounded area is
+ ∫x= 0
2
2x – x3 – (–x2) dx
0 2
A1 A2
Type I and Type II Regions
Area of a region is the integral of
its cross-sectional lengths. Above examples
are integrals across vertical cross-sectional length L(x).
We get the same area if the cross-sectional lengths are
horizontal. Let’s distinguish following two types of regions.
The basic geometry here is
that for vertical distance y,
we need to find y = f(x),
i.e. y as a function in x.
For horizontal distances,
we need to find x = g(y),
i.e. x as a function in y.
More on Area
y
x
( x= g(y), y = f(x) )
x = g(y)
y = f(x)
x
y
Example B. Given 2x – y2 = –4 for 0 ≤ y,
express y as f(x), and x as g(y). Draw.
Solving for the vertical length y,
2x – y2 = –4 so y2 = 2x + 4,
since 0 ≤ y → y = f(x) = √2x + 4.
(x, y)
2x – y2 = 4
y = √2x + 4
Solving for the horizontal length x,
2x – y2 = –4 so 2x = –4 + y2,
or that x = g(y) = (–4 + y2)/2.
x = (–4 + y2)/2
Type I Region
A type I region R is a region that´s
in a vertical stripe starting from
x = a ending at x = b,
bounded on top by y = f(x)
and below by y = g(x) as shown.
It’s vertical cross-sectional length is
L(x) = f(x) – g(x) for a ≤ x ≤ b.
More on Area
x = a x = b
y = f(x)
y = g(x)
L(x) = f(x) – g(x)
The area of a type I region is
the integral of its vertical
cross-sectional length:
The region in example A is viewed as
type I and its area is the integral of
“vertical lines”:
x = 1x = 0
∫
b
L(x) dx
a
=
∫
b
f(x) – g(x) dx
a
∫x=0
1
(–x2 + 2x) – x2 dx =
1
3
More on Area
Type Il Region
A type Il region R is a region that´s
in a horizontal stripe starting from
y = c ending at y = d,
bounded to the right by x = f(y)
and to the left by x = g(y) as shown.
It’s horizontal cross-sectional length
is L(y) = f(y) – g(y) for c ≤ y ≤ d.
L(y) = f(y) – g(y)
y = c
y = dx = f(y)x = g(y)
The area of a type II region is
the integral of its horizontal
cross-sectional length:
x = 1x = 0
∫
d
L(y) dy
c
=
∫
d
f(y) – g(y) dy
c
The area in example A is both
types I and II.
But it’s more work to view it as type II
because of the algebra (we would need
to solve for x in terms of y.)
L(y) = ?
y
More on Area
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
More on Area
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
More on Area
The shaded region is the
area in question.
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
x = x2 – 4x + 4
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
x = x2 – 4x + 4
0 = x2 – 5x + 4
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
x = x2 – 4x + 4
0 = x2 – 5x + 4
0 = (x – 4)(x – 1) so x = 1 and 4.
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
x = x2 – 4x + 4
0 = x2 – 5x + 4
0 = (x – 4)(x – 1) so x = 1 and 4.
However x = 4 is the only good solution.
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
x = x2 – 4x + 4
0 = x2 – 5x + 4
0 = (x – 4)(x – 1) so x = 1 and 4.
However x = 4 is the only good solution.
4
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
x = x2 – 4x + 4
0 = x2 – 5x + 4
0 = (x – 4)(x – 1) so x = 1 and 4.
However x = 4 is the only good solution.
As a type I region, the span is from x = 0 to x = 4.
4
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
x = x2 – 4x + 4
0 = x2 – 5x + 4
0 = (x – 4)(x – 1) so x = 1 and 4.
However x = 4 is the only good solution.
As a type I region, the span is from x = 0 to x = 4. But the
lower boundary is not a single function.
4
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
x = x2 – 4x + 4
0 = x2 – 5x + 4
0 = (x – 4)(x – 1) so x = 1 and 4.
However x = 4 is the only good solution.
As a type I region, the span is from x = 0 to x = 4. But the
lower boundary is not a single function.
4
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
x = x2 – 4x + 4
0 = x2 – 5x + 4
0 = (x – 4)(x – 1) so x = 1 and 4.
However x = 4 is the only good solution.
As a type I region, the span is from x = 0 to x = 4. But the
lower boundary is not a single function. Therefore to find the
area of the region, we have to split it into two pieces,
I and II as shown.
4
More on Area
The shaded region is the
area in question. For the
span of the region, set
√x = x – 2
Example C. Find the area that is bounded by the positive
x–axis, y = x – 2 and y = √x.
y = x – 2
y = √x
x = x2 – 4x + 4
0 = x2 – 5x + 4
0 = (x – 4)(x – 1) so x = 1 and 4.
However x = 4 is the only good solution.
As a type I region, the span is from x = 0 to x = 4. But the
lower boundary is not a single function. Therefore to find the
area of the region, we have to split it into two pieces,
I and II as shown.
I II
4
More on Area
y = x – 2
y = √x
The total area is (area I) + (area II) i.e.
I II
2 4
More on Area
y = x – 2
y = √x
The total area is (area I) + (area II) i.e.
I II
∫x= 0
2
√x dx +
2 4
More on Area
y = x – 2
y = √x
The total area is (area I) + (area II) i.e.
I II
∫x= 0
2
√x dx +
2
∫x= 2
4
√x – (x – 2) dx
4
More on Area
y = x – 2
y = √x
The total area is (area I) + (area II) i.e.
I II
∫x= 0
2
√x dx +
2
∫x= 2
4
√x – (x – 2) dx
=
2x3/2
3
+|0
2
4
More on Area
y = x – 2
y = √x
The total area is (area I) + (area II) i.e.
I II
∫x= 0
2
√x dx +
2
∫x= 2
4
√x – (x – 2) dx
=
2x3/2
3
+
2x3/2
3
( –
x2
2
+ 2x )|0
2
2
4
|
4
More on Area
y = x – 2
y = √x
The total area is (area I) + (area II) i.e.
I II
∫x= 0
2
√x dx +
2
∫x= 2
4
√x – (x – 2) dx
=
2x3/2
3
+
2x3/2
3
( –
x2
2
+ 2x )|0
2
2
4
|
= 2(2)3/2
3
+
4
More on Area
y = x – 2
y = √x
The total area is (area I) + (area II) i.e.
I II
∫x= 0
2
√x dx +
2
∫x= 2
4
√x – (x – 2) dx
=
2x3/2
3
+
2x3/2
3
( –
x2
2
+ 2x )|0
2
2
4
|
= 2(2)3/2
3
+ 2(4)3/2
3
[( – 42
2
+ 8 ) – 2(2)3/2
3
– 22
2
+ 4 )( ]
4
More on Area
y = x – 2
y = √x
The total area is (area I) + (area II) i.e.
I II
∫x= 0
2
√x dx +
2
∫x= 2
4
√x – (x – 2) dx
=
2x3/2
3
+
2x3/2
3
( –
x2
2
+ 2x )|0
2
2
4
|
= 2(2)3/2
3
+ 2(4)3/2
3
[( – 42
2
+ 8 ) – 2(2)3/2
3
– 22
2
+ 4 )( ]
=
2(2)3/2
3
+
16
3
–
2(2)3/2
3
– 2
4
More on Area
y = x – 2
y = √x
The total area is (area I) + (area II) i.e.
I II
∫x= 0
2
√x dx +
2
∫x= 2
4
√x – (x – 2) dx
=
2x3/2
3
+
2x3/2
3
( –
x2
2
+ 2x )|0
2
2
4
|
= 2(2)3/2
3
+ 2(4)3/2
3
[( – 42
2
+ 8 ) – 2(2)3/2
3
– 22
2
+ 4 )( ]
=
2(2)3/2
3
+
16
3
–
2(2)3/2
3
– 2 =
10
3
4
More on Area
However, we may view this as a type II region.
y = x – 2
y = √x
More on Area
However, we may view this as a type II region. It spans
from y = 0 to y = 2.
y = x – 2
y = √x
y = 2
More on Area
However, we may view this as a type II region. It spans
from y = 0 to y = 2. Solve for x for the boundary functions.
y = x – 2
y = √x
y = 2
More on Area
However, we may view this as a type II region. It spans
from y = 0 to y = 2. Solve for x for the boundary functions.
The right boundary is x = f(y) = y + 2
y = x – 2
y = √x
y = 2
More on Area
However, we may view this as a type II region. It spans
from y = 0 to y = 2. Solve for x for the boundary functions.
The right boundary is x = f(y) = y + 2 and the left boundary
is x = g(y) = y2
y = x – 2
y = √x
y = 2
More on Area
However, we may view this as a type II region. It spans
from y = 0 to y = 2. Solve for x for the boundary functions.
The right boundary is x = f(y) = y + 2 and the left boundary
is x = g(y) = y2
y = 2
y = √x
so x = y2
y = x – 2 so x = y + 2
More on Area
However, we may view this as a type II region. It spans
from y = 0 to y = 2. Solve for x for the boundary functions.
The right boundary is x = f(y) = y + 2 and the left boundary
is x = g(y) = y2 so L(y) = (y + 2) – y2 = y + 2 – y2
y = 2
y = √x
so x = y2
y = x – 2 so x = y + 2
More on Area
However, we may view this as a type II region. It spans
from y = 0 to y = 2. Solve for x for the boundary functions.
The right boundary is x = f(y) = y + 2 and the left boundary
is x = g(y) = y2 so L(y) = (y + 2) – y2 = y + 2 – y2.
y = x – 2 so x = y + 2
y = √x
so x = y2
L(y) = y + 2 – y2
y = 2
More on Area
However, we may view this as a type II region. It spans
from y = 0 to y = 2. Solve for x for the boundary functions.
The right boundary is x = f(y) = y + 2 and the left boundary
is x = g(y) = y2 so L(y) = (y + 2) – y2 = y + 2 – y2.
y = x – 2 so x = y + 2
y = √x
so x = y2
L(y) = y + 2 – y2
Therefore the area is
y + 2 – y2 dy∫y = 0
2
y = 2
More on Area
However, we may view this as a type II region. It spans
from y = 0 to y = 2. Solve for x for the boundary functions.
The right boundary is x = f(y) = y + 2 and the left boundary
is x = g(y) = y2 so L(y) = (y + 2) – y2 = y + 2 – y2.
y = x – 2 so x = y + 2
y = √x
so x = y2
L(y) = y + 2 – y2
Therefore the area is
y + 2 – y2 dy∫y = 0
2
= +
y2
2
2y –
y3
3 0
2
|
y = 2
More on Area
However, we may view this as a type II region. It spans
from y = 0 to y = 2. Solve for x for the boundary functions.
The right boundary is x = f(y) = y + 2 and the left boundary
is x = g(y) = y2 so L(y) = (y + 2) – y2 = y + 2 – y2.
y = x – 2 so x = y + 2
y = √x
so x = y2
L(y) = y + 2 – y2
Therefore the area is
y + 2 – y2 dy∫y = 0
2
= +
y2
2
2y –
y3
3 0
2
| = 6 –
8
3
=
10
3
y = 2
The designation of type I and II is mainly a reminder
to compare the integration in different geometry
which may yield simpler solutions.

More Related Content

What's hot

22 infinite series send-x
22 infinite series send-x22 infinite series send-x
22 infinite series send-xmath266
 
15 integrals of trig products-i-x
15 integrals of trig products-i-x15 integrals of trig products-i-x
15 integrals of trig products-i-xmath266
 
16 partial fraction decompositions x
16 partial fraction decompositions x16 partial fraction decompositions x
16 partial fraction decompositions xmath266
 
12 derivatives and integrals of inverse trigonometric functions x
12 derivatives and integrals of inverse trigonometric functions x12 derivatives and integrals of inverse trigonometric functions x
12 derivatives and integrals of inverse trigonometric functions xmath266
 
8 arc length and area of surfaces x
8 arc length and area of surfaces x8 arc length and area of surfaces x
8 arc length and area of surfaces xmath266
 
14 formulas from integration by parts x
14 formulas from integration by parts x14 formulas from integration by parts x
14 formulas from integration by parts xmath266
 
11 the inverse trigonometric functions x
11 the inverse trigonometric functions x11 the inverse trigonometric functions x
11 the inverse trigonometric functions xmath266
 
28 mac laurin expansions x
28 mac laurin expansions x28 mac laurin expansions x
28 mac laurin expansions xmath266
 
17 tangent planes and total differentials
17 tangent planes and total differentials17 tangent planes and total differentials
17 tangent planes and total differentialsmath267
 
3.6 applications in optimization
3.6 applications in optimization3.6 applications in optimization
3.6 applications in optimizationmath265
 
3.2 implicit equations and implicit differentiation
3.2 implicit equations and implicit differentiation3.2 implicit equations and implicit differentiation
3.2 implicit equations and implicit differentiationmath265
 
1 review on derivatives
1 review on derivatives1 review on derivatives
1 review on derivativesmath266
 
10 parametric eequations of lines
10 parametric eequations of lines10 parametric eequations of lines
10 parametric eequations of linesmath267
 
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
 
25 surface area
25 surface area25 surface area
25 surface areamath267
 
29 conservative fields potential functions
29 conservative fields potential functions29 conservative fields potential functions
29 conservative fields potential functionsmath267
 
28 work and line integrals
28 work and line integrals28 work and line integrals
28 work and line integralsmath267
 
19 trig substitutions-x
19 trig substitutions-x19 trig substitutions-x
19 trig substitutions-xmath266
 
9 the basic language of functions x
9 the basic language of functions x9 the basic language of functions x
9 the basic language of functions xmath260
 
1.3 review on trig functions
1.3 review on trig functions1.3 review on trig functions
1.3 review on trig functionsmath265
 

What's hot (20)

22 infinite series send-x
22 infinite series send-x22 infinite series send-x
22 infinite series send-x
 
15 integrals of trig products-i-x
15 integrals of trig products-i-x15 integrals of trig products-i-x
15 integrals of trig products-i-x
 
16 partial fraction decompositions x
16 partial fraction decompositions x16 partial fraction decompositions x
16 partial fraction decompositions x
 
12 derivatives and integrals of inverse trigonometric functions x
12 derivatives and integrals of inverse trigonometric functions x12 derivatives and integrals of inverse trigonometric functions x
12 derivatives and integrals of inverse trigonometric functions x
 
8 arc length and area of surfaces x
8 arc length and area of surfaces x8 arc length and area of surfaces x
8 arc length and area of surfaces x
 
14 formulas from integration by parts x
14 formulas from integration by parts x14 formulas from integration by parts x
14 formulas from integration by parts x
 
11 the inverse trigonometric functions x
11 the inverse trigonometric functions x11 the inverse trigonometric functions x
11 the inverse trigonometric functions x
 
28 mac laurin expansions x
28 mac laurin expansions x28 mac laurin expansions x
28 mac laurin expansions x
 
17 tangent planes and total differentials
17 tangent planes and total differentials17 tangent planes and total differentials
17 tangent planes and total differentials
 
3.6 applications in optimization
3.6 applications in optimization3.6 applications in optimization
3.6 applications in optimization
 
3.2 implicit equations and implicit differentiation
3.2 implicit equations and implicit differentiation3.2 implicit equations and implicit differentiation
3.2 implicit equations and implicit differentiation
 
1 review on derivatives
1 review on derivatives1 review on derivatives
1 review on derivatives
 
10 parametric eequations of lines
10 parametric eequations of lines10 parametric eequations of lines
10 parametric eequations of lines
 
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
 
25 surface area
25 surface area25 surface area
25 surface area
 
29 conservative fields potential functions
29 conservative fields potential functions29 conservative fields potential functions
29 conservative fields potential functions
 
28 work and line integrals
28 work and line integrals28 work and line integrals
28 work and line integrals
 
19 trig substitutions-x
19 trig substitutions-x19 trig substitutions-x
19 trig substitutions-x
 
9 the basic language of functions x
9 the basic language of functions x9 the basic language of functions x
9 the basic language of functions x
 
1.3 review on trig functions
1.3 review on trig functions1.3 review on trig functions
1.3 review on trig functions
 

Similar to 4 ftc and signed areas x

5.4 more areas
5.4 more areas5.4 more areas
5.4 more areasmath265
 
double integral.pptx
double integral.pptxdouble integral.pptx
double integral.pptxssuser521537
 
10 b review-cross-sectional formula
10 b review-cross-sectional formula10 b review-cross-sectional formula
10 b review-cross-sectional formulamath266
 
Lesson 11 plane areas area by integration
Lesson 11 plane areas area by integrationLesson 11 plane areas area by integration
Lesson 11 plane areas area by integrationLawrence De Vera
 
Areas and Definite Integrals.ppt
Areas and Definite Integrals.pptAreas and Definite Integrals.ppt
Areas and Definite Integrals.pptLaeGadgude
 
Double_Integral.pdf
Double_Integral.pdfDouble_Integral.pdf
Double_Integral.pdfd00a7ece
 
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
 
Lesson 16 length of an arc
Lesson 16 length of an arcLesson 16 length of an arc
Lesson 16 length of an arcLawrence De Vera
 
5.5 volumes
5.5 volumes5.5 volumes
5.5 volumesmath265
 
MAT 2B SR AREAS M01 INTRO(26 May 2016).ppt
MAT 2B SR AREAS M01 INTRO(26 May 2016).pptMAT 2B SR AREAS M01 INTRO(26 May 2016).ppt
MAT 2B SR AREAS M01 INTRO(26 May 2016).pptssuser002675
 
APPLICATION OF INTEGRALS.pdf
APPLICATION OF INTEGRALS.pdfAPPLICATION OF INTEGRALS.pdf
APPLICATION OF INTEGRALS.pdfssuser78d908
 
Local linear approximation
Local linear approximationLocal linear approximation
Local linear approximationTarun Gehlot
 
Maths-double integrals
Maths-double integralsMaths-double integrals
Maths-double integralsmihir jain
 
22 double integrals
22 double integrals22 double integrals
22 double integralsmath267
 
3. Quadrature Complete Theory Module-5.pdf
3. Quadrature Complete Theory Module-5.pdf3. Quadrature Complete Theory Module-5.pdf
3. Quadrature Complete Theory Module-5.pdfRajuSingh806014
 
Relations & functions.pps
Relations  &  functions.ppsRelations  &  functions.pps
Relations & functions.ppsindu psthakur
 
Area between curves
Area between curvesArea between curves
Area between curvesdjfromal
 

Similar to 4 ftc and signed areas x (20)

5.4 more areas
5.4 more areas5.4 more areas
5.4 more areas
 
double integral.pptx
double integral.pptxdouble integral.pptx
double integral.pptx
 
10 b review-cross-sectional formula
10 b review-cross-sectional formula10 b review-cross-sectional formula
10 b review-cross-sectional formula
 
Lesson 11 plane areas area by integration
Lesson 11 plane areas area by integrationLesson 11 plane areas area by integration
Lesson 11 plane areas area by integration
 
Areas and Definite Integrals.ppt
Areas and Definite Integrals.pptAreas and Definite Integrals.ppt
Areas and Definite Integrals.ppt
 
0 calc7-1
0 calc7-10 calc7-1
0 calc7-1
 
Double_Integral.pdf
Double_Integral.pdfDouble_Integral.pdf
Double_Integral.pdf
 
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
 
Lesson 16 length of an arc
Lesson 16 length of an arcLesson 16 length of an arc
Lesson 16 length of an arc
 
5.5 volumes
5.5 volumes5.5 volumes
5.5 volumes
 
MAT 2B SR AREAS M01 INTRO(26 May 2016).ppt
MAT 2B SR AREAS M01 INTRO(26 May 2016).pptMAT 2B SR AREAS M01 INTRO(26 May 2016).ppt
MAT 2B SR AREAS M01 INTRO(26 May 2016).ppt
 
APPLICATION OF INTEGRALS.pdf
APPLICATION OF INTEGRALS.pdfAPPLICATION OF INTEGRALS.pdf
APPLICATION OF INTEGRALS.pdf
 
Local linear approximation
Local linear approximationLocal linear approximation
Local linear approximation
 
Maths-double integrals
Maths-double integralsMaths-double integrals
Maths-double integrals
 
22 double integrals
22 double integrals22 double integrals
22 double integrals
 
3. Quadrature Complete Theory Module-5.pdf
3. Quadrature Complete Theory Module-5.pdf3. Quadrature Complete Theory Module-5.pdf
3. Quadrature Complete Theory Module-5.pdf
 
Ch 7 c volumes
Ch 7 c  volumesCh 7 c  volumes
Ch 7 c volumes
 
Differential calculus
Differential calculus  Differential calculus
Differential calculus
 
Relations & functions.pps
Relations  &  functions.ppsRelations  &  functions.pps
Relations & functions.pps
 
Area between curves
Area between curvesArea between curves
Area between curves
 

More from math266

3 algebraic expressions y
3 algebraic expressions y3 algebraic expressions y
3 algebraic expressions ymath266
 
267 1 3 d coordinate system-n
267 1 3 d coordinate system-n267 1 3 d coordinate system-n
267 1 3 d coordinate system-nmath266
 
X2.8 l'hopital rule ii
X2.8 l'hopital rule iiX2.8 l'hopital rule ii
X2.8 l'hopital rule iimath266
 
X2.7 l'hopital rule i
X2.7 l'hopital rule iX2.7 l'hopital rule i
X2.7 l'hopital rule imath266
 
33 parametric equations x
33 parametric equations x33 parametric equations x
33 parametric equations xmath266
 
35 tangent and arc length in polar coordinates
35 tangent and arc length in polar coordinates35 tangent and arc length in polar coordinates
35 tangent and arc length in polar coordinatesmath266
 
36 area in polar coordinate
36 area in polar coordinate36 area in polar coordinate
36 area in polar coordinatemath266
 
34 polar coordinate and equations
34 polar coordinate and equations34 polar coordinate and equations
34 polar coordinate and equationsmath266
 
32 approximation, differentiation and integration of power series x
32 approximation, differentiation and integration of power series x32 approximation, differentiation and integration of power series x
32 approximation, differentiation and integration of power series xmath266
 
31 mac taylor remainder theorem-x
31 mac taylor remainder theorem-x31 mac taylor remainder theorem-x
31 mac taylor remainder theorem-xmath266
 
30 computation techniques for mac laurin expansions x
30 computation techniques for  mac laurin expansions x30 computation techniques for  mac laurin expansions x
30 computation techniques for mac laurin expansions xmath266
 
L'hopital rule ii
L'hopital rule iiL'hopital rule ii
L'hopital rule iimath266
 
L'Hopital's rule i
L'Hopital's rule iL'Hopital's rule i
L'Hopital's rule imath266
 
29 taylor expansions x
29 taylor expansions x29 taylor expansions x
29 taylor expansions xmath266
 
27 power series x
27 power series x27 power series x
27 power series xmath266
 
26 alternating series and conditional convergence x
26 alternating series and conditional convergence x26 alternating series and conditional convergence x
26 alternating series and conditional convergence xmath266
 
25 the ratio, root, and ratio comparison test x
25 the ratio, root, and ratio  comparison test x25 the ratio, root, and ratio  comparison test x
25 the ratio, root, and ratio comparison test xmath266
 
24 the harmonic series and the integral test x
24 the harmonic series and the integral test x24 the harmonic series and the integral test x
24 the harmonic series and the integral test xmath266
 
23 improper integrals send-x
23 improper integrals send-x23 improper integrals send-x
23 improper integrals send-xmath266
 
21 monotone sequences x
21 monotone sequences x21 monotone sequences x
21 monotone sequences xmath266
 

More from math266 (20)

3 algebraic expressions y
3 algebraic expressions y3 algebraic expressions y
3 algebraic expressions y
 
267 1 3 d coordinate system-n
267 1 3 d coordinate system-n267 1 3 d coordinate system-n
267 1 3 d coordinate system-n
 
X2.8 l'hopital rule ii
X2.8 l'hopital rule iiX2.8 l'hopital rule ii
X2.8 l'hopital rule ii
 
X2.7 l'hopital rule i
X2.7 l'hopital rule iX2.7 l'hopital rule i
X2.7 l'hopital rule i
 
33 parametric equations x
33 parametric equations x33 parametric equations x
33 parametric equations x
 
35 tangent and arc length in polar coordinates
35 tangent and arc length in polar coordinates35 tangent and arc length in polar coordinates
35 tangent and arc length in polar coordinates
 
36 area in polar coordinate
36 area in polar coordinate36 area in polar coordinate
36 area in polar coordinate
 
34 polar coordinate and equations
34 polar coordinate and equations34 polar coordinate and equations
34 polar coordinate and equations
 
32 approximation, differentiation and integration of power series x
32 approximation, differentiation and integration of power series x32 approximation, differentiation and integration of power series x
32 approximation, differentiation and integration of power series x
 
31 mac taylor remainder theorem-x
31 mac taylor remainder theorem-x31 mac taylor remainder theorem-x
31 mac taylor remainder theorem-x
 
30 computation techniques for mac laurin expansions x
30 computation techniques for  mac laurin expansions x30 computation techniques for  mac laurin expansions x
30 computation techniques for mac laurin expansions x
 
L'hopital rule ii
L'hopital rule iiL'hopital rule ii
L'hopital rule ii
 
L'Hopital's rule i
L'Hopital's rule iL'Hopital's rule i
L'Hopital's rule i
 
29 taylor expansions x
29 taylor expansions x29 taylor expansions x
29 taylor expansions x
 
27 power series x
27 power series x27 power series x
27 power series x
 
26 alternating series and conditional convergence x
26 alternating series and conditional convergence x26 alternating series and conditional convergence x
26 alternating series and conditional convergence x
 
25 the ratio, root, and ratio comparison test x
25 the ratio, root, and ratio  comparison test x25 the ratio, root, and ratio  comparison test x
25 the ratio, root, and ratio comparison test x
 
24 the harmonic series and the integral test x
24 the harmonic series and the integral test x24 the harmonic series and the integral test x
24 the harmonic series and the integral test x
 
23 improper integrals send-x
23 improper integrals send-x23 improper integrals send-x
23 improper integrals send-x
 
21 monotone sequences x
21 monotone sequences x21 monotone sequences x
21 monotone sequences x
 

Recently uploaded

Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfphamnguyenenglishnb
 
Planning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxPlanning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxLigayaBacuel1
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfMr Bounab Samir
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxEyham Joco
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayMakMakNepo
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 

Recently uploaded (20)

Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
 
Planning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxPlanning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptx
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
Types of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptxTypes of Journalistic Writing Grade 8.pptx
Types of Journalistic Writing Grade 8.pptx
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up Friday
 
Rapple "Scholarly Communications and the Sustainable Development Goals"
Rapple "Scholarly Communications and the Sustainable Development Goals"Rapple "Scholarly Communications and the Sustainable Development Goals"
Rapple "Scholarly Communications and the Sustainable Development Goals"
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 

4 ftc and signed areas x

  • 2. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. a=x b=x R More on Area
  • 3. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. a=x b=x R More on Area Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. Let L(x) = cross–sectional length at x.
  • 4. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. a=x b=x R More on Area L(x) Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. Let L(x) = cross–sectional length at x.
  • 5. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. a=x b=x R More on Area L(x) Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. Let L(x) = cross–sectional length at x. Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of [a, b]
  • 6. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. Let L(x) = cross–sectional length at x. a=x0 b=xn Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of [a, b] x1 x2 xi–1 xi R More on Area L(x)
  • 7. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. Let L(x) = cross–sectional length at x. a=x0 b=xn Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of [a, b] and select an arbitrary point xi in each sub-interval [x i–1, xi]. x1 x2 xi–1 xi R More on Area L(x) *
  • 8. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. Let L(x) = cross–sectional length at x. a=x0 b=x Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of [a, b] and select an arbitrary point xi in each sub-interval [x i–1, xi]. * x1 x2 x1 * xi–1 xi R More on Area L(x)
  • 9. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. Let L(x) = cross–sectional length at x. a=x0 b=x Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of [a, b] and select an arbitrary point xi in each sub-interval [x i–1, xi]. x1 x2 x1 * x2 * xi–1 xi R More on Area L(x) *
  • 10. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. Let L(x) = cross–sectional length at x. a=x0 b=x Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of [a, b] and select an arbitrary point xi in each sub-interval [x i–1, xi]. x1 x2 x1 * x2 * x3 * xi–1 xi xi * R More on Area L(xi) * *
  • 11. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. Let L(x) = cross–sectional length at x. a=x0 b=x Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of [a, b] and select an arbitrary point xi in each sub-interval [x i–1, xi]. Let Δx = the width of each subinterval. x1 x2 x1 * x2 * x3 * xi–1 xi xi * R More on Area * L(xi)*
  • 12. Given a 2D region R, and we would like to find its area. Take a ruler and measure R from one end to the another, let x be the measurements and that R spans from x = a to x = b. Let L(x) = cross–sectional length at x. a=x0 b=x Let the sequence {a=x0, x1, x2, .. xn=b} be a regular partition of [a, b] and select an arbitrary point xi in each sub-interval [x i–1, xi]. Let Δx = the width of each subinterval. The rectangle with L(xi) as height and Δx as width approximates the area in R that is spanned from xi–1 to xi. x1 x2 x1 * x2 * x3 * xi–1 xi xi * R More on Area * * Δx L(xi)*
  • 13. More on Area a=x0 b=xx1 x2 xi–1 xi x1 * x2 * x3 * xi * R The Riemann sum
  • 14. More on Area a=x0 b=xx1 x2 xi–1 xi x1 * x2 * x3 * xi * R L(x1)Δx*The Riemann sum L(x1)* Δx
  • 15. More on Area a=x0 b=xx1 x2 xi–1 xi x1 * x2 * x3 * xi * R L(x1)Δx+* L(x2)Δx+ …*The Riemann sum L(x1) L(x2)* * Δx Δx
  • 16. More on Area a=x0 b=xx1 x2 xi–1 xi x1 * x2 * x3 * xi * L(xi) Δx R L(x1)Δx+* L(x2)Δx+ …* L(xn)Δx*The Riemann sum L(x1) L(x2)* * * Δx Δx L(xn)* Δx xn *
  • 17. More on Area a=x0 b=xx1 x2 xi–1 xi x1 * x2 * x3 * xi * L(xi) Δx R L(x1)Δx+* i=1 n ∑ L(xi)Δx*L(x2)Δx+ …* L(xn)Δx =*The Riemann sum of all such rectangles approximates the area of R. L(x1) L(x2)* * * Δx Δx xn * Δx L(xn)*
  • 18. More on Area a=x0 b=xx1 x2 xi–1 xi x1 * x2 * x3 * xi * L(xi) Δx In fact the mathematical definition of the area of R is the limit R L(x1)Δx+* i=1 n ∑ L(xi)Δx*L(x2)Δx+ …* L(xn)Δx =*The Riemann sum of all such rectangles approximates the area of R. n ∑ L(xi)Δx as Δx 0 or n ∞,*of the Riemann sums L(x1) L(x2)* * * Δx Δx xn * Δx L(xn)*
  • 19. More on Area a=x0 b=xx1 x2 xi–1 xi x1 * x2 * x3 * xi * L(xi) Δx In fact the mathematical definition of the area of R is the limit the area of R =∫x=a b L(x) dx. R L(x1)Δx+* i=1 n ∑ L(xi)Δx*L(x2)Δx+ …* L(xn)Δx =*The Riemann sum of all such rectangles approximates the area of R. n ∑ L(xi)Δx as Δx 0 or n ∞, so*of the Riemann sum by the FTC L(x1) L(x2)* * * Δx Δx xn * Δx L(xn)*
  • 20. More on Area a=x0 b=xx1 x2 xi–1 xi x1 * x2 * x3 * xi * L(xi) Δx In fact the mathematical definition of the area of R is the limit the area of R =∫x=a b L(x) dx. R L(x1)Δx+* i=1 n ∑ L(xi)Δx*L(x2)Δx+ …* L(xn)Δx =*The Riemann sum of all such rectangles approximates the area of R. n ∑ L(xi)Δx as Δx 0 or n ∞, so*of the Riemann sum by the FTC Theorem. The area of a 2D region is the definite integral of its cross–section (length) function. L(x1) L(x2)* * * Δx Δx xn * Δx L(xn)*
  • 21. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 More on Area
  • 22. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 More on Area y = –x2 + 2x y = x2 y = –x2 + 2x y = x2
  • 23. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 We need to find the span of the area. More on Area y = –x2 + 2x y = x2
  • 24. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 We need to find the span of the area. They are the x–coordinates of the intersections of the curves. More on Area y = –x2 + 2x y = x2
  • 25. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 We need to find the span of the area. They are the x–coordinates of the intersections of the curves. More on Area y = –x2 + 2x y = x2 Set the equations equal to find the intersection points.
  • 26. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 We need to find the span of the area. They are the x–coordinates of the intersections of the curves. More on Area y = –x2 + 2x y = x2 Set the equations equal to find the intersection points. x2 = –x2 + 2x
  • 27. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 We need to find the span of the area. They are the x–coordinates of the intersections of the curves. More on Area y = –x2 + 2x y = x2 Set the equations equal to find the intersection points. x2 = –x2 + 2x 2x2 = 2x
  • 28. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 We need to find the span of the area. They are the x–coordinates of the intersections of the curves. More on Area y = –x2 + 2x y = x2 Set the equations equal to find the intersection points. x2 = –x2 + 2x 2x2 = 2x 2x(x – 1) = 0 so x = 0, 1.
  • 29. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 We need to find the span of the area. They are the x–coordinates of the intersections of the curves. More on Area y = –x2 + 2x y = x2 Set the equations equal to find the intersection points. x2 = –x2 + 2x 2x2 = 2x 2x(x – 1) = 0 so x = 0, 1. Hence the area is ∫x=0 1 (–x2 + 2x) – x2 dx
  • 30. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 We need to find the span of the area. They are the x–coordinates of the intersections of the curves. More on Area y = –x2 + 2x y = x2 Set the equations equal to find the intersection points. x2 = –x2 + 2x 2x2 = 2x 2x(x – 1) = 0 so x = 0, 1. Hence the area is ∫x=0 1 (–x2 + 2x) – x2 dx = ∫ 1 –2x2 + 2x dx 0
  • 31. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 We need to find the span of the area. They are the x–coordinates of the intersections of the curves. More on Area y = –x2 + 2x y = x2 Set the equations equal to find the intersection points. x2 = –x2 + 2x 2x2 = 2x 2x(x – 1) = 0 so x = 0, 1. Hence the area is ∫x=0 1 (–x2 + 2x) – x2 dx = ∫ 1 –2x2 + 2x dx = –2 3 x3 + x2 | 0 0 1
  • 32. Example A. a. Find the area bounded by y = –x2 + 2x and y = x2 We need to find the span of the area. They are the x–coordinates of the intersections of the curves. More on Area y = –x2 + 2x y = x2 Set the equations equal to find the intersection points. x2 = –x2 + 2x 2x2 = 2x 2x(x – 1) = 0 so x = 0, 1. Hence the area is ∫x=0 1 (–x2 + 2x) – x2 dx = ∫ 1 –2x2 + 2x dx = –2 3 x3 + x2 | 0 0 1 = 1 3
  • 33. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 More on Area
  • 34. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 The bounded area consists of two parts. More on Area f(x) = 2x – x3 g(x) = –x2
  • 35. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). More on Area f(x) = 2x – x3 g(x) = –x2
  • 36. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). The second part is has f(x) on top. More on Area f(x) = 2x – x3 g(x) = –x2
  • 37. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). The second part is has f(x) on top. We set the equations equal to solve for the span. More on Area f(x) = 2x – x3 g(x) = –x2
  • 38. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). The second part is has f(x) on top. We set the equations equal to solve for the span. More on Area –x2 = 2x – x3 f(x) = 2x – x3 g(x) = –x2
  • 39. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). The second part is has f(x) on top. We set the equations equal to solve for the span. More on Area –x2 = 2x – x3 x3 – x2 – 2x = 0 f(x) = 2x – x3 g(x) = –x2
  • 40. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). The second part is has f(x) on top. We set the equations equal to solve for the span. More on Area –x2 = 2x – x3 x3 – x2 – 2x = 0 x(x2 – x – 2) = 0 f(x) = 2x – x3 g(x) = –x2
  • 41. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). The second part is has f(x) on top. We set the equations equal to solve for the span. More on Area –x2 = 2x – x3 x3 – x2 – 2x = 0 x(x2 – x – 2) = 0 f(x) = 2x – x3 g(x) = –x2 x(x – 2)(x + 1) = 0 so x = –1, 0, and 2. –1 0 2
  • 42. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). The second part is has f(x) on top. We set the equations equal to solve for the span. More on Area –x2 = 2x – x3 x3 – x2 – 2x = 0 x(x2 – x – 2) = 0 Therefore the span for the 1st area is from x = –1 to x = 0 f(x) = 2x – x3 g(x) = –x2 x(x – 2)(x + 1) = 0 so x = –1, 0, and 2. –1 0 2
  • 43. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). The second part is has f(x) on top. We set the equations equal to solve for the span. More on Area –x2 = 2x – x3 x3 – x2 – 2x = 0 x(x2 – x – 2) = 0 Therefore the span for the 1st area is from x = –1 to x = 0 and the span for the 2nd area is from x = 0 to x = 2. f(x) = 2x – x3 g(x) = –x2 x(x – 2)(x + 1) = 0 so x = –1, 0, and 2. –1 0 2
  • 44. The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). The second part is has f(x) on top. We set the equations equal to solve for the span. More on Area f(x) = 2x – x3 g(x) = –x2 –x2 = 2x – x3 x3 – x2 – 2x = 0 x(x2 – x – 2) = 0 x(x – 2)(x + 1) = 0 so x = –1, 0, and 2. Therefore the span for the 1st area is from x = –1 to x = 0 and the span for the 2nd area is from x = 0 to x = 2. b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 –1 0 2
  • 45. The bounded area consists of two parts. The first part is bounded above by g(x) and below by f(x). The second part is has f(x) on top. We set the equations equal to solve for the span. More on Area f(x) = 2x – x3 g(x) = –x2 –x2 = 2x – x3 x3 – x2 – 2x = 0 x(x2 – x – 2) = 0 x(x – 2)(x + 1) = 0 so x = –1, 0, and 2. Therefore the span for the 1st area is from x = –1 to x = 0 and the span for the 2nd area is from x = 0 to x = 2. We label them as A1 and A2 as shown. A1 A2 b. Find the area bounded by f(x) = 2x – x3 and g(x) = –x2 –1 0 2
  • 46. More on Area ∫x= –1 0 –x2 – (2x – x3) dx Hence the total bounded area is A1 f(x) = x – x3 g(x) = –x2 –1 0 2 A2 A1
  • 47. More on Area ∫x= –1 0 –x2 – (2x – x3) dx Hence the total bounded area is + ∫x= 0 2 2x – x3 – (–x2) dx A1 A2 f(x) = x – x3 g(x) = –x2 –1 0 2 A2 A1
  • 48. More on Area = ∫–1 x3 – x2 – 2x dx +∫0 – x3 + x2 + 2x dx ∫x= –1 0 –x2 – (2x – x3) dx Hence the total bounded area is + ∫x= 0 2 2x – x3 – (–x2) dx 0 2 A1 A2 f(x) = x – x3 g(x) = –x2 –1 0 2 A2 A1
  • 49. More on Area = ∫–1 x3 – x2 – 2x dx +∫0 – x3 + x2 + 2x dx x4 4 –= x3 3 – x2|–1 0 + –x4 4 + x3 3 + x2 | 2 ∫x= –1 0 –x2 – (2x – x3) dx Hence the total bounded area is + ∫x= 0 2 2x – x3 – (–x2) dx 0 2 A1 A2 f(x) = x – x3 g(x) = –x2 –1 0 2 A2 A1 0
  • 50. More on Area = ∫–1 x3 – x2 – 2x dx +∫0 – x3 + x2 + 2x dx x4 4 –= x3 3 – x2|–1 0 + –x4 4 + x3 3 + x2 |0 2 = 5 12 + 8 3 = 37 12 f(x) = x – x3 g(x) = –x2 –1 0 2 A2 A1 ∫x= –1 0 –x2 – (2x – x3) dx Hence the total bounded area is + ∫x= 0 2 2x – x3 – (–x2) dx 0 2 A1 A2
  • 51. More on Area = ∫–1 x3 – x2 – 2x dx +∫0 – x3 + x2 + 2x dx x4 4 –= x3 3 – x2|–1 0 + –x4 4 + x3 3 + x2 |0 2 = 5 12 + 8 3 = 37 12 f(x) = x – x3 g(x) = –x2 –1 0 2 A2 A1 ∫x= –1 0 –x2 – (2x – x3) dx Hence the total bounded area is + ∫x= 0 2 2x – x3 – (–x2) dx 0 2 A1 A2 Type I and Type II Regions
  • 52. More on Area = ∫–1 x3 – x2 – 2x dx +∫0 – x3 + x2 + 2x dx x4 4 –= x3 3 – x2|–1 0 + –x4 4 + x3 3 + x2 |0 2 = 5 12 + 8 3 = 37 12 f(x) = x – x3 g(x) = –x2 –1 0 2 A2 A1 ∫x= –1 0 –x2 – (2x – x3) dx Hence the total bounded area is + ∫x= 0 2 2x – x3 – (–x2) dx 0 2 A1 A2 Type I and Type II Regions Area of a region is the integral of its cross-sectional lengths.
  • 53. More on Area = ∫–1 x3 – x2 – 2x dx +∫0 – x3 + x2 + 2x dx x4 4 –= x3 3 – x2|–1 0 + –x4 4 + x3 3 + x2 |0 2 = 5 12 + 8 3 = 37 12 f(x) = x – x3 g(x) = –x2 –1 0 2 A2 A1 ∫x= –1 0 –x2 – (2x – x3) dx Hence the total bounded area is + ∫x= 0 2 2x – x3 – (–x2) dx 0 2 A1 A2 Type I and Type II Regions Area of a region is the integral of its cross-sectional lengths. Above examples are integrals across vertical cross-sectional length L(x).
  • 54. More on Area = ∫–1 x3 – x2 – 2x dx +∫0 – x3 + x2 + 2x dx x4 4 –= x3 3 – x2|–1 0 + –x4 4 + x3 3 + x2 |0 2 = 5 12 + 8 3 = 37 12 f(x) = x – x3 g(x) = –x2 –1 0 2 A2 A1 ∫x= –1 0 –x2 – (2x – x3) dx Hence the total bounded area is + ∫x= 0 2 2x – x3 – (–x2) dx 0 2 A1 A2 Type I and Type II Regions Area of a region is the integral of its cross-sectional lengths. Above examples are integrals across vertical cross-sectional length L(x). We get the same area if the cross-sectional lengths are horizontal. Let’s distinguish following two types of regions.
  • 55. The basic geometry here is that for vertical distance y, we need to find y = f(x), i.e. y as a function in x. For horizontal distances, we need to find x = g(y), i.e. x as a function in y. More on Area y x ( x= g(y), y = f(x) ) x = g(y) y = f(x) x y Example B. Given 2x – y2 = –4 for 0 ≤ y, express y as f(x), and x as g(y). Draw. Solving for the vertical length y, 2x – y2 = –4 so y2 = 2x + 4, since 0 ≤ y → y = f(x) = √2x + 4. (x, y) 2x – y2 = 4 y = √2x + 4 Solving for the horizontal length x, 2x – y2 = –4 so 2x = –4 + y2, or that x = g(y) = (–4 + y2)/2. x = (–4 + y2)/2
  • 56. Type I Region A type I region R is a region that´s in a vertical stripe starting from x = a ending at x = b, bounded on top by y = f(x) and below by y = g(x) as shown. It’s vertical cross-sectional length is L(x) = f(x) – g(x) for a ≤ x ≤ b. More on Area x = a x = b y = f(x) y = g(x) L(x) = f(x) – g(x) The area of a type I region is the integral of its vertical cross-sectional length: The region in example A is viewed as type I and its area is the integral of “vertical lines”: x = 1x = 0 ∫ b L(x) dx a = ∫ b f(x) – g(x) dx a ∫x=0 1 (–x2 + 2x) – x2 dx = 1 3
  • 57. More on Area Type Il Region A type Il region R is a region that´s in a horizontal stripe starting from y = c ending at y = d, bounded to the right by x = f(y) and to the left by x = g(y) as shown. It’s horizontal cross-sectional length is L(y) = f(y) – g(y) for c ≤ y ≤ d. L(y) = f(y) – g(y) y = c y = dx = f(y)x = g(y) The area of a type II region is the integral of its horizontal cross-sectional length: x = 1x = 0 ∫ d L(y) dy c = ∫ d f(y) – g(y) dy c The area in example A is both types I and II. But it’s more work to view it as type II because of the algebra (we would need to solve for x in terms of y.) L(y) = ? y
  • 58. More on Area Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x.
  • 59. More on Area Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x
  • 60. More on Area The shaded region is the area in question. Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x
  • 61. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x
  • 62. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x x = x2 – 4x + 4
  • 63. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x x = x2 – 4x + 4 0 = x2 – 5x + 4
  • 64. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x x = x2 – 4x + 4 0 = x2 – 5x + 4 0 = (x – 4)(x – 1) so x = 1 and 4.
  • 65. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x x = x2 – 4x + 4 0 = x2 – 5x + 4 0 = (x – 4)(x – 1) so x = 1 and 4. However x = 4 is the only good solution.
  • 66. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x x = x2 – 4x + 4 0 = x2 – 5x + 4 0 = (x – 4)(x – 1) so x = 1 and 4. However x = 4 is the only good solution. 4
  • 67. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x x = x2 – 4x + 4 0 = x2 – 5x + 4 0 = (x – 4)(x – 1) so x = 1 and 4. However x = 4 is the only good solution. As a type I region, the span is from x = 0 to x = 4. 4
  • 68. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x x = x2 – 4x + 4 0 = x2 – 5x + 4 0 = (x – 4)(x – 1) so x = 1 and 4. However x = 4 is the only good solution. As a type I region, the span is from x = 0 to x = 4. But the lower boundary is not a single function. 4
  • 69. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x x = x2 – 4x + 4 0 = x2 – 5x + 4 0 = (x – 4)(x – 1) so x = 1 and 4. However x = 4 is the only good solution. As a type I region, the span is from x = 0 to x = 4. But the lower boundary is not a single function. 4
  • 70. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x x = x2 – 4x + 4 0 = x2 – 5x + 4 0 = (x – 4)(x – 1) so x = 1 and 4. However x = 4 is the only good solution. As a type I region, the span is from x = 0 to x = 4. But the lower boundary is not a single function. Therefore to find the area of the region, we have to split it into two pieces, I and II as shown. 4
  • 71. More on Area The shaded region is the area in question. For the span of the region, set √x = x – 2 Example C. Find the area that is bounded by the positive x–axis, y = x – 2 and y = √x. y = x – 2 y = √x x = x2 – 4x + 4 0 = x2 – 5x + 4 0 = (x – 4)(x – 1) so x = 1 and 4. However x = 4 is the only good solution. As a type I region, the span is from x = 0 to x = 4. But the lower boundary is not a single function. Therefore to find the area of the region, we have to split it into two pieces, I and II as shown. I II 4
  • 72. More on Area y = x – 2 y = √x The total area is (area I) + (area II) i.e. I II 2 4
  • 73. More on Area y = x – 2 y = √x The total area is (area I) + (area II) i.e. I II ∫x= 0 2 √x dx + 2 4
  • 74. More on Area y = x – 2 y = √x The total area is (area I) + (area II) i.e. I II ∫x= 0 2 √x dx + 2 ∫x= 2 4 √x – (x – 2) dx 4
  • 75. More on Area y = x – 2 y = √x The total area is (area I) + (area II) i.e. I II ∫x= 0 2 √x dx + 2 ∫x= 2 4 √x – (x – 2) dx = 2x3/2 3 +|0 2 4
  • 76. More on Area y = x – 2 y = √x The total area is (area I) + (area II) i.e. I II ∫x= 0 2 √x dx + 2 ∫x= 2 4 √x – (x – 2) dx = 2x3/2 3 + 2x3/2 3 ( – x2 2 + 2x )|0 2 2 4 | 4
  • 77. More on Area y = x – 2 y = √x The total area is (area I) + (area II) i.e. I II ∫x= 0 2 √x dx + 2 ∫x= 2 4 √x – (x – 2) dx = 2x3/2 3 + 2x3/2 3 ( – x2 2 + 2x )|0 2 2 4 | = 2(2)3/2 3 + 4
  • 78. More on Area y = x – 2 y = √x The total area is (area I) + (area II) i.e. I II ∫x= 0 2 √x dx + 2 ∫x= 2 4 √x – (x – 2) dx = 2x3/2 3 + 2x3/2 3 ( – x2 2 + 2x )|0 2 2 4 | = 2(2)3/2 3 + 2(4)3/2 3 [( – 42 2 + 8 ) – 2(2)3/2 3 – 22 2 + 4 )( ] 4
  • 79. More on Area y = x – 2 y = √x The total area is (area I) + (area II) i.e. I II ∫x= 0 2 √x dx + 2 ∫x= 2 4 √x – (x – 2) dx = 2x3/2 3 + 2x3/2 3 ( – x2 2 + 2x )|0 2 2 4 | = 2(2)3/2 3 + 2(4)3/2 3 [( – 42 2 + 8 ) – 2(2)3/2 3 – 22 2 + 4 )( ] = 2(2)3/2 3 + 16 3 – 2(2)3/2 3 – 2 4
  • 80. More on Area y = x – 2 y = √x The total area is (area I) + (area II) i.e. I II ∫x= 0 2 √x dx + 2 ∫x= 2 4 √x – (x – 2) dx = 2x3/2 3 + 2x3/2 3 ( – x2 2 + 2x )|0 2 2 4 | = 2(2)3/2 3 + 2(4)3/2 3 [( – 42 2 + 8 ) – 2(2)3/2 3 – 22 2 + 4 )( ] = 2(2)3/2 3 + 16 3 – 2(2)3/2 3 – 2 = 10 3 4
  • 81. More on Area However, we may view this as a type II region. y = x – 2 y = √x
  • 82. More on Area However, we may view this as a type II region. It spans from y = 0 to y = 2. y = x – 2 y = √x y = 2
  • 83. More on Area However, we may view this as a type II region. It spans from y = 0 to y = 2. Solve for x for the boundary functions. y = x – 2 y = √x y = 2
  • 84. More on Area However, we may view this as a type II region. It spans from y = 0 to y = 2. Solve for x for the boundary functions. The right boundary is x = f(y) = y + 2 y = x – 2 y = √x y = 2
  • 85. More on Area However, we may view this as a type II region. It spans from y = 0 to y = 2. Solve for x for the boundary functions. The right boundary is x = f(y) = y + 2 and the left boundary is x = g(y) = y2 y = x – 2 y = √x y = 2
  • 86. More on Area However, we may view this as a type II region. It spans from y = 0 to y = 2. Solve for x for the boundary functions. The right boundary is x = f(y) = y + 2 and the left boundary is x = g(y) = y2 y = 2 y = √x so x = y2 y = x – 2 so x = y + 2
  • 87. More on Area However, we may view this as a type II region. It spans from y = 0 to y = 2. Solve for x for the boundary functions. The right boundary is x = f(y) = y + 2 and the left boundary is x = g(y) = y2 so L(y) = (y + 2) – y2 = y + 2 – y2 y = 2 y = √x so x = y2 y = x – 2 so x = y + 2
  • 88. More on Area However, we may view this as a type II region. It spans from y = 0 to y = 2. Solve for x for the boundary functions. The right boundary is x = f(y) = y + 2 and the left boundary is x = g(y) = y2 so L(y) = (y + 2) – y2 = y + 2 – y2. y = x – 2 so x = y + 2 y = √x so x = y2 L(y) = y + 2 – y2 y = 2
  • 89. More on Area However, we may view this as a type II region. It spans from y = 0 to y = 2. Solve for x for the boundary functions. The right boundary is x = f(y) = y + 2 and the left boundary is x = g(y) = y2 so L(y) = (y + 2) – y2 = y + 2 – y2. y = x – 2 so x = y + 2 y = √x so x = y2 L(y) = y + 2 – y2 Therefore the area is y + 2 – y2 dy∫y = 0 2 y = 2
  • 90. More on Area However, we may view this as a type II region. It spans from y = 0 to y = 2. Solve for x for the boundary functions. The right boundary is x = f(y) = y + 2 and the left boundary is x = g(y) = y2 so L(y) = (y + 2) – y2 = y + 2 – y2. y = x – 2 so x = y + 2 y = √x so x = y2 L(y) = y + 2 – y2 Therefore the area is y + 2 – y2 dy∫y = 0 2 = + y2 2 2y – y3 3 0 2 | y = 2
  • 91. More on Area However, we may view this as a type II region. It spans from y = 0 to y = 2. Solve for x for the boundary functions. The right boundary is x = f(y) = y + 2 and the left boundary is x = g(y) = y2 so L(y) = (y + 2) – y2 = y + 2 – y2. y = x – 2 so x = y + 2 y = √x so x = y2 L(y) = y + 2 – y2 Therefore the area is y + 2 – y2 dy∫y = 0 2 = + y2 2 2y – y3 3 0 2 | = 6 – 8 3 = 10 3 y = 2 The designation of type I and II is mainly a reminder to compare the integration in different geometry which may yield simpler solutions.