SlideShare une entreprise Scribd logo
1  sur  56
Double Integrals
Double Integrals
Cavalieri's Principal:
(2D Version) Given two shapes where the cross-section
lengths are equal at all levels, then they have the same area.
=
= Same Area
Equal lengths
Double Integrals
Cavalieri's Principal:
(2D Version) Given two shapes where the cross-section
lengths are equal at all levels, then they have the same area.
(3D Version) Given two solids where the cross-section areas
are equal at all levels, then they have the same volume.
=
=
=
=
Same Area
Same Volume
Equal lengths
Equal Areas
Double Integrals
In terms of integrals
(2D Version) Area is the integral of cross-section-length
function.
Area =
t=b
t=a
L(t)=length
t=a
b
L(t) dt∫
Double Integrals
In terms of integrals
(2D Version) Area is the integral of cross-section-length
function.
Area =
t=b
t=a
L(t)=length
t=a
b
L(t) dt
t=b
t=a
A(t)=area
(3D Version) Volume is the integral of cross-section-area
function.
∫
t=a
b
A(t) dtVolume
=
∫tt
Double Integrals
We write the rectangular area
{(x, y)| a ≤ x ≤ b and c ≤ y ≤ d}
as [a, b] x [c, d]. a b
c
d
[a, b] x [c, d]
Double Integrals
Given z = f(x, y) ≥ 0 over the domain D = [a, b] x [c, d],
it defines a solid over D.
x
y
We write the rectangular area
{(x, y)| a ≤ x ≤ b and c ≤ y ≤ d}
as [a, b] x [c, d].
z = f(x, y)
a
b
c
d
D
a b
c
d
[a, b] x [c, d]
D
Double Integrals
Given z = f(x, y) ≥ 0 over the domain D = [a, b] x [c, d],
it defines a solid over D. Hence the volume V of this solid is
x
y
We write the rectangular area
{(x, y)| a ≤ x ≤ b and c ≤ y ≤ d}
as [a, b] x [c, d].
z = f(x, y)
a
b
c
d
D
a b
c
d
[a, b] x [c, d]
D
x=a
b
A(x) dx, where A(x) is the cross-sectional area
function.
V = ∫
Double Integrals
Given z = f(x, y) ≥ 0 over the domain D = [a, b] x [c, d],
it defines a solid over D. Hence the volume V of this solid is
x
y
We write the rectangular area
{(x, y)| a ≤ x ≤ b and c ≤ y ≤ d}
as [a, b] x [c, d].
z = f(x, y)
a
b
c
d
D
x
a b
c
d
[a, b] x [c, d]
A(x)
D
x=a
b
A(x) dx, where A(x) is the cross-sectional area
function.
V = ∫
Double Integrals
Given z = f(x, y) ≥ 0 over the domain D = [a, b] x [c, d],
it defines a solid over D. Hence the volume V of this solid is
x
y
We write the rectangular area
{(x, y)| a ≤ x ≤ b and c ≤ y ≤ d}
as [a, b] x [c, d].
z = f(x, y)
a
b
c
d
D
x
a b
c
d
[a, b] x [c, d]
A(x)
D
x=a
b
A(x) dx, where A(x) is the cross-sectional area
function.
V =
d
∫
On the other hand A(x) =
y=c
f(x, y) dy
where the integral is taken by
treating x as a constant.
∫
Double Integrals
Given z = f(x, y) ≥ 0 over the domain D = [a, b] x [c, d],
it defines a solid over D. Hence the volume V of this solid is
x
y
We write the rectangular area
{(x, y)| a ≤ x ≤ b and c ≤ y ≤ d}
as [a, b] x [c, d].
z = f(x, y)
a
b
c
d
D
x
Hence the volume V is
V = [
x=a
x=b
dx.
y=c
y=d
f(x, y) dy ]∫ ∫
a b
c
d
[a, b] x [c, d]
A(x)
D
x=a
b
A(x) dx, where A(x) is the cross-sectional area
function.
V =
d
∫
On the other hand A(x) =
y=c
f(x, y) dy
where the integral is taken by
treating x as a constant.
∫
Double Integrals
x
y
z = f(x, y)
a
b
c
d
D
x
A(x)
D
f(x, y) dy ] dxThe integral
is called the double integral with respect to y then x.
f(x, y) dy dx =∫∫ ∫ ∫[ A(x) dx∫=
Double Integrals
x
y
z = f(x, y)
a
b
c
d
D
x
A(x)
D
f(x, y) dy ] dxThe integral
is called the double integral with respect to y then x.
f(x, y) dy dx =∫∫ ∫ ∫[
f(x, y) dx ] dySimilarly,
is called the double integral with respect to x then y.
f(x, y) dx dy =∫∫ ∫ ∫[
A(x) dx∫=
A(y) dy∫=
Double Integrals
x
y
z = f(x, y)
a
b
c
d
D
x
A(x)
D
f(x, y) dy ] dxThe integral
is called the double integral with respect to y then x.
f(x, y) dy dx =∫∫ ∫ ∫[
x
y
z = f(x, y)
a
b
c
d
D
y
A(y)
f(x, y) dx ] dySimilarly,
is called the double integral with respect to x then y.
f(x, y) dx dy =∫∫ ∫ ∫[
It represents the volume integration over the cross sectional
areas A(y) by setting y as a constant
A(x) dx∫=
A(y) dy∫=
Double Integrals
x
y
z = f(x, y)
a
b
c
d
D
x
A(x)
D
f(x, y) dy ] dxThe integral
is called the double integral with respect to y then x.
f(x, y) dy dx =∫∫ ∫ ∫[
x
y
z = f(x, y)
a
b
c
d
D
y
A(y)
f(x, y) dx ] dySimilarly,
is called the double integral with respect to x then y.
f(x, y) dx dy =∫∫ ∫ ∫[
f(x, y) dx = A(y)∫ is calculated by treating y as a constant.
It represents the volume integration over the cross sectional
areas A(y) by setting y as a constant and that
A(x) dx∫=
A(y) dy∫=
Double Integrals
z = f(x, y)
D
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
xy
Double Integrals
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas.
z = f(x, y)
D
xy
Double Integrals
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas.
z = f(x, y)
D
xy
Double Integrals
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas. Over each Ri, there is a rectangular column with Ri
as the base with a patch of z = f(x, y) as the roof that covers the
column.
z = f(x, y)
D
xy
Double Integrals
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas. Over each Ri, there is a rectangular column with Ri
as the base with a patch of z = f(x, y) as the roof that covers the
column.
z = f(x, y)
D
/
y x
Double Integrals
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas. Over each Ri, there is a rectangular column with Ri
as the base with a patch of z = f(x, y) as the roof that covers the
column. Let (xi, yi) be a point in Ri, and let Vi be the volume of
this column, then Vi ≈ f(xi, yi) Ai.
z = f(x, y)
D
(xi, yi) in Ri
/
y x
Double Integrals
y
z = f(x, y)
D
(xi, yi) in Ri
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas. Over each Ri, there is a rectangular column with Ri
as the base with a patch of z = f(x, y) as the roof that covers the
column. Let (xi, yi) be a point in Ri, and let Vi be the volume of
this column, then Vi ≈ f(xi, yi) Ai.
x
/
Vi ≈ f(xi, yi) Ai
Ai
Double Integrals
y
z = f(x, y)
D
(xi, yi) in Ri
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas. Over each Ri, there is a rectangular column with Ri
as the base with a patch of z = f(x, y) as the roof that covers the
column. Let (xi, yi) be a point in Ri, and let Vi be the volume of
this column, then Vi ≈ f(xi, yi) Ai.
x
/
Ai
f(xi, yi)
Double Integrals
y
z = f(x, y)
D
(xi, yi) in Ri
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas. Over each Ri, there is a rectangular column with Ri
as the base with a patch of z = f(x, y) as the roof that covers the
column. Let (xi, yi) be a point in Ri, and let Vi be the volume of
this column, then Vi ≈ f(xi, yi) Ai.
x
/
Vi ≈ f(xi, yi) Ai
Ai
f(xi, yi)
Double Integrals
y
z = f(x, y)
D
(xi, yi) in Ri
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas. Over each Ri, there is a rectangular column with Ri
as the base with a patch of z = f(x, y) as the roof that covers the
column. Let (xi, yi) be a point in Ri, and let Vi be the volume of
this column, then Vi ≈ f(xi, yi) Ai. The entire volume V
is approximately the sum of all the Vi, that is
x
/
i=1 i=1
nn
V ≈ ∑ Vi = ∑ f(xi, yi) Ai,
Vi ≈ f(xi, yi) Ai
Ai
f(xi, yi)
Double Integrals
y
z = f(x, y)
D
(xi, yi) in Ri
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas. Over each Ri, there is a rectangular column with Ri
as the base with a patch of z = f(x, y) as the roof that covers the
column. Let (xi, yi) be a point in Ri, and let Vi be the volume of
this column, then Vi ≈ f(xi, yi) Ai. The entire volume V
is approximately the sum of all the Vi, that is
x
/
i=1 i=1
nn
V = lim ∑ Vi
Ai 0
V ≈ ∑ Vi = ∑ f(xi, yi) Ai, specifically
Vi ≈ f(xi, yi) Ai
Ai
f(xi, yi)
Double Integrals
y
z = f(x, y)
D
(xi, yi) in Ri
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas. Over each Ri, there is a rectangular column with Ri
as the base with a patch of z = f(x, y) as the roof that covers the
column. Let (xi, yi) be a point in Ri, and let Vi be the volume of
this column, then Vi ≈ f(xi, yi) Ai. The entire volume V
is approximately the sum of all the Vi, that is
x
/
i=1 i=1
nn
V = lim ∑ Vi = lim ∑f(xi, yi)Ai
Ai 0 Ai 0
V ≈ ∑ Vi = ∑ f(xi, yi) Ai, specifically
if the limit exists.
Vi ≈ f(xi, yi) Ai
Ai
f(xi, yi)
Double Integrals
y
z = f(x, y)
D
(xi, yi) in Ri
The third way to compute the volume is to use the
Fundemantal Theorem of Calculus directly.
Partition the domain D into small rectangles (sub-rectangles)
and label them as R1, R2,…Rn and let A1, A2,…, An be their
areas. Over each Ri, there is a rectangular column with Ri
as the base with a patch of z = f(x, y) as the roof that covers the
column. Let (xi, yi) be a point in Ri, and let Vi be the volume of
this column, then Vi ≈ f(xi, yi) Ai. The entire volume V
is approximately the sum of all the Vi, that is
x
/
V = f(x, y) dA.∫∫
i=1 i=1
nn
V = lim ∑ Vi = lim ∑f(xi, yi)Ai
Ai 0 Ai 0
D
V ≈ ∑ Vi = ∑ f(xi, yi) Ai, specifically
if the limit exists. Writing the
above in the integral notation:
Vi ≈ f(xi, yi) Ai
Ai
f(xi, yi)
Double Integrals
f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are
called iterated integrals meaning the integral is done one
step at a time.
Double Integrals
Theorem: Given z = f(x, y) > 0 a continuous function over the
domnain [a, b] x [c. d], then the following are equal:
f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are
called iterated integrals meaning the integral is done one
step at a time.
Double Integrals
Theorem: Given z = f(x, y) > 0 a continuous function over the
domnain [a, b] x [c. d], then the following are equal:
[
x=a
b
dy
y=c
d
f(x, y) dx ]∫∫V = f(x, y) dA =∫∫D
= [
x=a
b
dx
y=c
d
f(x, y) dy ]∫ ∫
f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are
called iterated integrals meaning the integral is done one
step at a time.
Double Integrals
Theorem: Given z = f(x, y) > 0 a continuous function over the
domnain [a, b] x [c. d], then the following are equal:
Example: Fid the volume of z = f(x, y) = -2x – y + 6 over the
domain [1, 2] x [2, 3]
f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are
called iterated integrals meaning the integral is done one
step at a time.
[
x=a
b
dy
y=c
d
f(x, y) dx ]∫∫V = f(x, y) dA =∫∫D
= [
x=a
b
dx
y=c
d
f(x, y) dy ]∫ ∫
Double Integrals
Theorem: Given z = f(x, y) > 0 a continuous function over the
domnain [a, b] x [c. d], then the following are equal:
Example: Fid the volume of z = f(x, y) = -2x – y + 6 over the
domain [1, 2] x [2, 3]
x
y
6
6
3
1
2
2 3
f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are
called iterated integrals meaning the integral is done one
step at a time.
[
x=a
b
dy
y=c
d
f(x, y) dx ]∫∫V = f(x, y) dA =∫∫D
= [
x=a
b
dx
y=c
d
f(x, y) dy ]∫ ∫
Double Integrals
Theorem: Given z = f(x, y) > 0 a continuous function over the
domnain [a, b] x [c. d], then the following are equal:
Example: Fid the volume of z = f(x, y) = -2x – y + 6 over the
domain [1, 2] x [2, 3]
x
y
6
6
3
1
2
2 3
The volume is
x=1
2
dx
y=2
3
-2x – y + 6 dy∫ ∫
f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are
called iterated integrals meaning the integral is done one
step at a time.
[
x=a
b
dy
y=c
d
f(x, y) dx ]∫∫V = f(x, y) dA =∫∫D
= [
x=a
b
dx
y=c
d
f(x, y) dy ]∫ ∫
Double Integrals
Theorem: Given z = f(x, y) > 0 a continuous function over the
domnain [a, b] x [c. d], then the following are equal:
Example: Fid the volume of z = f(x, y) = -2x – y + 6 over the
domain [1, 2] x [2, 3]
x
y
6
6
3
1
2
2 3
The volume is
x=1
2
dx
y=2
3
-2x – y + 6 dy∫ ∫
=
x=1
2
∫ -2xy – y2
/2 + 6y| dx
y=2
3
f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are
called iterated integrals meaning the integral is done one
step at a time.
[
x=a
b
dy
y=c
d
f(x, y) dx ]∫∫V = f(x, y) dA =∫∫D
= [
x=a
b
dx
y=c
d
f(x, y) dy ]∫ ∫
Double Integrals
x
y
6
6
3
1
2
2 3
=
x=1
2
∫ -2xy – y2
/2 + 6y| dx
y=2
3
Double Integrals
x
y
6
6
3
1
2
2 3
=
x=1
2
∫ -2xy – y2
/2 + 6y| dx
y=2
3
=
x=1
2
∫ (-6x – 9/2 + 18) – (-4x – 2 +
12)
dx
Double Integrals
x
y
6
6
3
1
2
2 3
=
x=1
2
∫ -2xy – y2
/2 + 6y| dx
y=2
3
=
x=1
2
∫ (-6x – 9/2 + 18) – (-4x – 2 +
12)
dx
=
x=1
2
∫ -2x + 7/2 dx
Double Integrals
x
y
6
6
3
1
2
2 3
=
x=1
2
∫ -2xy – y2
/2 + 6y| dx
y=2
3
=
x=1
2
∫ (-6x – 9/2 + 18) – (-4x – 2 +
12)
dx
=
x=1
2
∫ -2x + 7/2 dx
= -x2
+ 7x/2 |
x=1
2
Double Integrals
x
y
6
6
3
1
2
2 3
=
x=1
2
∫ -2xy – y2
/2 + 6y| dx
y=2
3
=
x=1
2
∫ (-6x – 9/2 + 18) – (-4x – 2 +
12)
dx
=
x=1
2
∫ -2x + 7/2 dx
= -x2
+ 7x/2 |
x=1
2
= (-4 + 7) – (-1 + 7/2) = 1/2
Double Integrals
x
y
6
6
3
1
2
2 3
=
x=1
2
∫ -2xy – y2
/2 + 6y| dx
y=2
3
=
x=1
2
∫ (-6x – 9/2 + 18) – (-4x – 2 +
12)
dx
=
x=1
2
∫ -2x + 7/2 dx
= -x2
+ 7x/2 |
x=1
2
= (-4 + 7) – (-1 + 7/2) = 1/2
HW: Check that
2
dy gives the same answer.
3
-2x – y + 6 dx∫ ∫x=1y=2
Double Integrals
x
y
6
6
3
1
2
2 3
=
x=1
2
∫ -2xy – y2
/2 + 6y| dx
y=2
3
=
x=1
2
∫ (-6x – 9/2 + 18) – (-4x – 2 +
12)
dx
=
x=1
2
∫ -2x + 7/2 dx
= -x2
+ 7x/2 |
x=1
2
= (-4 + 7) – (-1 + 7/2) = 1/2
HW: Check that
2
dy gives the same answer.
3
-2x – y + 6 dx∫ ∫x=1y=2
It is possible that when setting up the iterated integrals that
one way is computable, but its not computable if the order of
integration is switched, even their answers are the same.
Double Integrals
Example: Find the where D = [0, 1] x [0, 1]
D
ex+2y
dA∫ ∫
Double Integrals
Since ex+2y
is continuous, we may change the integral to
an iterated integral, say
0
1
dy
1
ex+2y
dx∫ ∫x=0
Example: Find the where D = [0, 1] x [0, 1]
D
ex+2y
dA∫ ∫
Double Integrals
Since ex+2y
is continuous, we may change the integral to
an iterated integral, say
0
1
dy
1
ex+2y
dx∫ ∫x=0
=
0
1 1
ex+2y
| dy∫ x=0
Example: Find the where D = [0, 1] x [0, 1]
D
ex+2y
dA∫ ∫
Double Integrals
Since ex+2y
is continuous, we may change the integral to
an iterated integral, say
0
1
dy
1
ex+2y
dx∫ ∫x=0
=
0
1 1
ex+2y
| dy∫ x=0
=
0
1
e1+2y
– e2y
dy∫
Example: Find the where D = [0, 1] x [0, 1]
D
ex+2y
dA∫ ∫
Double Integrals
Since ex+2y
is continuous, we may change the integral to
an iterated integral, say
0
1
dy
1
ex+2y
dx∫ ∫x=0
=
0
1 1
ex+2y
| dy∫ x=0
=
0
1
e1+2y
– e2y
dy∫
= (e1+2y
– e2y
) |
1
y=0
1
2
Example: Find the where D = [0, 1] x [0, 1]
D
ex+2y
dA∫ ∫
Double Integrals
Since ex+2y
is continuous, we may change the integral to
an iterated integral, say
0
1
dy
1
ex+2y
dx∫ ∫x=0
=
0
1 1
ex+2y
| dy∫ x=0
=
0
1
e1+2y
– e2y
dy∫
= (e1+2y
– e2y
) |
1
y=0
= [(e3
– e2
) – (e – 1)] =
e3
– e2
– e +1
2
1
2
1
2
Example: Find the where D = [0, 1] x [0, 1]
D
ex+2y
dA∫ ∫
Double Integrals
Lastly, we note that using the Fundemantal Theorem of
Calculus to find volume, its not necessary that the D is a
rectangle.
Double Integrals
Lastly, we note that using the Fundemantal Theorem of
Calculus to find volume, its not necessary that the D is a
rectangle.
We approximate D with small rectangles (sub-rectangles)
R1, R2,…Rn with A1, A2,…, An be their areas.
Double Integrals
Lastly, we note that using the Fundemantal Theorem of
Calculus to find volume, its not necessary that the D is a
rectangle.
We approximate D with small rectangles (sub-rectangles)
R1, R2,…Rn with A1, A2,…, An be their areas.
R1 R3 R3 ...
Double Integrals
Lastly, we note that using the Fundemantal Theorem of
Calculus to find volume, its not necessary that the D is a
rectangle.
We approximate D with small rectangles (sub-rectangles)
R1, R2,…Rn with A1, A2,…, An be their areas. Select (xi, yi) a
point in Ri, and let Vi be the volume of the column over Ri,
then Vi ≈ f(xi, yi)*Ai.
R1 R3 R3 ...
Double Integrals
Lastly, we note that using the Fundemantal Theorem of
Calculus to find volume, its not necessary that the D is a
rectangle.
We approximate D with small rectangles (sub-rectangles)
R1, R2,…Rn with A1, A2,…, An be their areas. Select (xi, yi) a
point in Ri, and let Vi be the volume of the column over Ri,
then Vi ≈ f(xi, yi)*Ai. The entire volume V is approxmately the
sum of all the Vi : R1 R3 R3 ...
Double Integrals
Lastly, we note that using the Fundemantal Theorem of
Calculus to find volume, its not necessary that the D is a
rectangle.
We approximate D with small rectangles (sub-rectangles)
R1, R2,…Rn with A1, A2,…, An be their areas. Select (xi, yi) a
point in Ri, and let Vi be the volume of the column over Ri,
then Vi ≈ f(xi, yi)*Ai. The entire volume V is approxmately the
sum of all the Vi :
We define the volume to be the limit as
the areas of sub-rectangles get smaller
and go to 0,
R1 R3 R3 ...
Double Integrals
Lastly, we note that using the Fundemantal Theorem of
Calculus to find volume, its not necessary that the D is a
rectangle.
V = f(x, y) dA.
We approximate D with small rectangles (sub-rectangles)
R1, R2,…Rn with A1, A2,…, An be their areas. Select (xi, yi) a
point in Ri, and let Vi be the volume of the column over Ri,
then Vi ≈ f(xi, yi)*Ai. The entire volume V is approxmately the
sum of all the Vi :
∫∫
We define the volume to be the limit as
the areas of sub-rectangles get smaller
and go to 0, that is:
V = lim ∑ Vi = lim ∑f(xi, yi)Ai if the limit
exists and write it as:
Ai 0 Ai 0
D
R1 R3 R3 ...
Double Integrals
Lastly, we note that using the Fundemantal Theorem of
Calculus to find volume, its not necessary that the D is a
rectangle.
V = f(x, y) dA.
We approximate D with small rectangles (sub-rectangles)
R1, R2,…Rn with A1, A2,…, An be their areas. Select (xi, yi) a
point in Ri, and let Vi be the volume of the column over Ri,
then Vi ≈ f(xi, yi)*Ai. The entire volume V is approxmately the
sum of all the Vi :
∫∫
We define the volume to be the limit as
the areas of sub-rectangles get smaller
and go to 0, that is:
V = lim ∑ Vi = lim ∑f(xi, yi)Ai if the limit
exists and write it as:
Ai 0 Ai 0
D
R1 R3 R3 ...
In next section, we will convert this to iterated integrals.

Contenu connexe

Tendances

18 directional derivatives and gradient
18 directional  derivatives and gradient18 directional  derivatives and gradient
18 directional derivatives and gradientmath267
 
14 unit tangent and normal vectors
14 unit tangent and normal vectors14 unit tangent and normal vectors
14 unit tangent and normal vectorsmath267
 
9 determinant and cross product
9 determinant and cross product9 determinant and cross product
9 determinant and cross productmath267
 
28 work and line integrals
28 work and line integrals28 work and line integrals
28 work and line integralsmath267
 
12.5. vector valued functions
12.5. vector valued functions12.5. vector valued functions
12.5. vector valued functionsmath267
 
30 green's theorem
30 green's theorem30 green's theorem
30 green's theoremmath267
 
20 the chain rule
20 the chain rule20 the chain rule
20 the chain rulemath267
 
27 triple integrals in spherical and cylindrical coordinates
27 triple integrals in spherical and cylindrical coordinates27 triple integrals in spherical and cylindrical coordinates
27 triple integrals in spherical and cylindrical coordinatesmath267
 
16 partial derivatives
16 partial derivatives16 partial derivatives
16 partial derivativesmath267
 
25 surface area
25 surface area25 surface area
25 surface areamath267
 
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
 
3.6 applications in optimization
3.6 applications in optimization3.6 applications in optimization
3.6 applications in optimizationmath265
 
Lesson 8 conic sections - parabola
Lesson 8    conic sections - parabolaLesson 8    conic sections - parabola
Lesson 8 conic sections - parabolaJean Leano
 
7 cavalieri principle-x
7 cavalieri principle-x7 cavalieri principle-x
7 cavalieri principle-xmath266
 
12 quadric surfaces
12 quadric surfaces12 quadric surfaces
12 quadric surfacesmath267
 
Parabola Lesson Powerpoint Presentation
Parabola Lesson Powerpoint PresentationParabola Lesson Powerpoint Presentation
Parabola Lesson Powerpoint Presentationyanhiggins
 
partialderivatives
partialderivativespartialderivatives
partialderivativesyash patel
 
1 3 d coordinate system
1 3 d coordinate system1 3 d coordinate system
1 3 d coordinate systemmath267
 
homogeneous Equation All Math Solved
homogeneous Equation All Math Solvedhomogeneous Equation All Math Solved
homogeneous Equation All Math SolvedNeAMul1
 
3 dot product angles-projection
3 dot product angles-projection3 dot product angles-projection
3 dot product angles-projectionmath267
 

Tendances (20)

18 directional derivatives and gradient
18 directional  derivatives and gradient18 directional  derivatives and gradient
18 directional derivatives and gradient
 
14 unit tangent and normal vectors
14 unit tangent and normal vectors14 unit tangent and normal vectors
14 unit tangent and normal vectors
 
9 determinant and cross product
9 determinant and cross product9 determinant and cross product
9 determinant and cross product
 
28 work and line integrals
28 work and line integrals28 work and line integrals
28 work and line integrals
 
12.5. vector valued functions
12.5. vector valued functions12.5. vector valued functions
12.5. vector valued functions
 
30 green's theorem
30 green's theorem30 green's theorem
30 green's theorem
 
20 the chain rule
20 the chain rule20 the chain rule
20 the chain rule
 
27 triple integrals in spherical and cylindrical coordinates
27 triple integrals in spherical and cylindrical coordinates27 triple integrals in spherical and cylindrical coordinates
27 triple integrals in spherical and cylindrical coordinates
 
16 partial derivatives
16 partial derivatives16 partial derivatives
16 partial derivatives
 
25 surface area
25 surface area25 surface area
25 surface area
 
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
 
3.6 applications in optimization
3.6 applications in optimization3.6 applications in optimization
3.6 applications in optimization
 
Lesson 8 conic sections - parabola
Lesson 8    conic sections - parabolaLesson 8    conic sections - parabola
Lesson 8 conic sections - parabola
 
7 cavalieri principle-x
7 cavalieri principle-x7 cavalieri principle-x
7 cavalieri principle-x
 
12 quadric surfaces
12 quadric surfaces12 quadric surfaces
12 quadric surfaces
 
Parabola Lesson Powerpoint Presentation
Parabola Lesson Powerpoint PresentationParabola Lesson Powerpoint Presentation
Parabola Lesson Powerpoint Presentation
 
partialderivatives
partialderivativespartialderivatives
partialderivatives
 
1 3 d coordinate system
1 3 d coordinate system1 3 d coordinate system
1 3 d coordinate system
 
homogeneous Equation All Math Solved
homogeneous Equation All Math Solvedhomogeneous Equation All Math Solved
homogeneous Equation All Math Solved
 
3 dot product angles-projection
3 dot product angles-projection3 dot product angles-projection
3 dot product angles-projection
 

Similaire à 22 double integrals

Maths-double integrals
Maths-double integralsMaths-double integrals
Maths-double integralsmihir jain
 
3.7 applications of tangent lines
3.7 applications of tangent lines3.7 applications of tangent lines
3.7 applications of tangent linesmath265
 
4 ftc and signed areas x
4 ftc and signed areas x4 ftc and signed areas x
4 ftc and signed areas xmath266
 
Notes up to_ch7_sec3
Notes up to_ch7_sec3Notes up to_ch7_sec3
Notes up to_ch7_sec3neenos
 
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
 
23 Double Integral over Polar Coordinate.pptx
23 Double Integral over Polar Coordinate.pptx23 Double Integral over Polar Coordinate.pptx
23 Double Integral over Polar Coordinate.pptxmath267
 
Double_Integral.pdf
Double_Integral.pdfDouble_Integral.pdf
Double_Integral.pdfd00a7ece
 
Areas and Definite Integrals.ppt
Areas and Definite Integrals.pptAreas and Definite Integrals.ppt
Areas and Definite Integrals.pptLaeGadgude
 
30 surface integrals
30 surface integrals30 surface integrals
30 surface integralsmath267
 
5.4 more areas
5.4 more areas5.4 more areas
5.4 more areasmath265
 
5 volumes and solids of revolution i x
5 volumes and solids of revolution i x5 volumes and solids of revolution i x
5 volumes and solids of revolution i xmath266
 
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
 
The Calculus Crusaders Volume
The Calculus Crusaders VolumeThe Calculus Crusaders Volume
The Calculus Crusaders Volumeazn_punkyfish07
 
Introduction to Treewidth
Introduction to TreewidthIntroduction to Treewidth
Introduction to TreewidthASPAK2014
 
3 areas, riemann sums, and the fundamental theorem of calculus x
3 areas, riemann sums, and the fundamental theorem of calculus x3 areas, riemann sums, and the fundamental theorem of calculus x
3 areas, riemann sums, and the fundamental theorem of calculus xmath266
 
FINAL PROJECT, MATH 251, FALL 2015[The project is Due Mond.docx
FINAL PROJECT, MATH 251, FALL 2015[The project is Due Mond.docxFINAL PROJECT, MATH 251, FALL 2015[The project is Due Mond.docx
FINAL PROJECT, MATH 251, FALL 2015[The project is Due Mond.docxvoversbyobersby
 

Similaire à 22 double integrals (20)

Maths-double integrals
Maths-double integralsMaths-double integrals
Maths-double integrals
 
3.7 applications of tangent lines
3.7 applications of tangent lines3.7 applications of tangent lines
3.7 applications of tangent lines
 
4 ftc and signed areas x
4 ftc and signed areas x4 ftc and signed areas x
4 ftc and signed areas x
 
Notes up to_ch7_sec3
Notes up to_ch7_sec3Notes up to_ch7_sec3
Notes up to_ch7_sec3
 
Notes up to_ch7_sec3
Notes up to_ch7_sec3Notes up to_ch7_sec3
Notes up to_ch7_sec3
 
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
 
23 Double Integral over Polar Coordinate.pptx
23 Double Integral over Polar Coordinate.pptx23 Double Integral over Polar Coordinate.pptx
23 Double Integral over Polar Coordinate.pptx
 
Double_Integral.pdf
Double_Integral.pdfDouble_Integral.pdf
Double_Integral.pdf
 
Areas and Definite Integrals.ppt
Areas and Definite Integrals.pptAreas and Definite Integrals.ppt
Areas and Definite Integrals.ppt
 
30 surface integrals
30 surface integrals30 surface integrals
30 surface integrals
 
5.4 more areas
5.4 more areas5.4 more areas
5.4 more areas
 
5 volumes and solids of revolution i x
5 volumes and solids of revolution i x5 volumes and solids of revolution i x
5 volumes and solids of revolution i x
 
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
 
The Calculus Crusaders Volume
The Calculus Crusaders VolumeThe Calculus Crusaders Volume
The Calculus Crusaders Volume
 
Introduction to Treewidth
Introduction to TreewidthIntroduction to Treewidth
Introduction to Treewidth
 
3 areas, riemann sums, and the fundamental theorem of calculus x
3 areas, riemann sums, and the fundamental theorem of calculus x3 areas, riemann sums, and the fundamental theorem of calculus x
3 areas, riemann sums, and the fundamental theorem of calculus x
 
FINAL PROJECT, MATH 251, FALL 2015[The project is Due Mond.docx
FINAL PROJECT, MATH 251, FALL 2015[The project is Due Mond.docxFINAL PROJECT, MATH 251, FALL 2015[The project is Due Mond.docx
FINAL PROJECT, MATH 251, FALL 2015[The project is Due Mond.docx
 
Ch 7 c volumes
Ch 7 c  volumesCh 7 c  volumes
Ch 7 c volumes
 
Chapter 4 Integration
Chapter 4  IntegrationChapter 4  Integration
Chapter 4 Integration
 

Dernier

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
 
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
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
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
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
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
 
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
 
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
 
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
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
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
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfhans926745
 
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
 

Dernier (20)

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...
 
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...
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
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
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
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...
 
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?
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
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
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
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
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
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
 

22 double integrals

  • 2. Double Integrals Cavalieri's Principal: (2D Version) Given two shapes where the cross-section lengths are equal at all levels, then they have the same area. = = Same Area Equal lengths
  • 3. Double Integrals Cavalieri's Principal: (2D Version) Given two shapes where the cross-section lengths are equal at all levels, then they have the same area. (3D Version) Given two solids where the cross-section areas are equal at all levels, then they have the same volume. = = = = Same Area Same Volume Equal lengths Equal Areas
  • 4. Double Integrals In terms of integrals (2D Version) Area is the integral of cross-section-length function. Area = t=b t=a L(t)=length t=a b L(t) dt∫
  • 5. Double Integrals In terms of integrals (2D Version) Area is the integral of cross-section-length function. Area = t=b t=a L(t)=length t=a b L(t) dt t=b t=a A(t)=area (3D Version) Volume is the integral of cross-section-area function. ∫ t=a b A(t) dtVolume = ∫tt
  • 6. Double Integrals We write the rectangular area {(x, y)| a ≤ x ≤ b and c ≤ y ≤ d} as [a, b] x [c, d]. a b c d [a, b] x [c, d]
  • 7. Double Integrals Given z = f(x, y) ≥ 0 over the domain D = [a, b] x [c, d], it defines a solid over D. x y We write the rectangular area {(x, y)| a ≤ x ≤ b and c ≤ y ≤ d} as [a, b] x [c, d]. z = f(x, y) a b c d D a b c d [a, b] x [c, d] D
  • 8. Double Integrals Given z = f(x, y) ≥ 0 over the domain D = [a, b] x [c, d], it defines a solid over D. Hence the volume V of this solid is x y We write the rectangular area {(x, y)| a ≤ x ≤ b and c ≤ y ≤ d} as [a, b] x [c, d]. z = f(x, y) a b c d D a b c d [a, b] x [c, d] D x=a b A(x) dx, where A(x) is the cross-sectional area function. V = ∫
  • 9. Double Integrals Given z = f(x, y) ≥ 0 over the domain D = [a, b] x [c, d], it defines a solid over D. Hence the volume V of this solid is x y We write the rectangular area {(x, y)| a ≤ x ≤ b and c ≤ y ≤ d} as [a, b] x [c, d]. z = f(x, y) a b c d D x a b c d [a, b] x [c, d] A(x) D x=a b A(x) dx, where A(x) is the cross-sectional area function. V = ∫
  • 10. Double Integrals Given z = f(x, y) ≥ 0 over the domain D = [a, b] x [c, d], it defines a solid over D. Hence the volume V of this solid is x y We write the rectangular area {(x, y)| a ≤ x ≤ b and c ≤ y ≤ d} as [a, b] x [c, d]. z = f(x, y) a b c d D x a b c d [a, b] x [c, d] A(x) D x=a b A(x) dx, where A(x) is the cross-sectional area function. V = d ∫ On the other hand A(x) = y=c f(x, y) dy where the integral is taken by treating x as a constant. ∫
  • 11. Double Integrals Given z = f(x, y) ≥ 0 over the domain D = [a, b] x [c, d], it defines a solid over D. Hence the volume V of this solid is x y We write the rectangular area {(x, y)| a ≤ x ≤ b and c ≤ y ≤ d} as [a, b] x [c, d]. z = f(x, y) a b c d D x Hence the volume V is V = [ x=a x=b dx. y=c y=d f(x, y) dy ]∫ ∫ a b c d [a, b] x [c, d] A(x) D x=a b A(x) dx, where A(x) is the cross-sectional area function. V = d ∫ On the other hand A(x) = y=c f(x, y) dy where the integral is taken by treating x as a constant. ∫
  • 12. Double Integrals x y z = f(x, y) a b c d D x A(x) D f(x, y) dy ] dxThe integral is called the double integral with respect to y then x. f(x, y) dy dx =∫∫ ∫ ∫[ A(x) dx∫=
  • 13. Double Integrals x y z = f(x, y) a b c d D x A(x) D f(x, y) dy ] dxThe integral is called the double integral with respect to y then x. f(x, y) dy dx =∫∫ ∫ ∫[ f(x, y) dx ] dySimilarly, is called the double integral with respect to x then y. f(x, y) dx dy =∫∫ ∫ ∫[ A(x) dx∫= A(y) dy∫=
  • 14. Double Integrals x y z = f(x, y) a b c d D x A(x) D f(x, y) dy ] dxThe integral is called the double integral with respect to y then x. f(x, y) dy dx =∫∫ ∫ ∫[ x y z = f(x, y) a b c d D y A(y) f(x, y) dx ] dySimilarly, is called the double integral with respect to x then y. f(x, y) dx dy =∫∫ ∫ ∫[ It represents the volume integration over the cross sectional areas A(y) by setting y as a constant A(x) dx∫= A(y) dy∫=
  • 15. Double Integrals x y z = f(x, y) a b c d D x A(x) D f(x, y) dy ] dxThe integral is called the double integral with respect to y then x. f(x, y) dy dx =∫∫ ∫ ∫[ x y z = f(x, y) a b c d D y A(y) f(x, y) dx ] dySimilarly, is called the double integral with respect to x then y. f(x, y) dx dy =∫∫ ∫ ∫[ f(x, y) dx = A(y)∫ is calculated by treating y as a constant. It represents the volume integration over the cross sectional areas A(y) by setting y as a constant and that A(x) dx∫= A(y) dy∫=
  • 16. Double Integrals z = f(x, y) D The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. xy
  • 17. Double Integrals The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. z = f(x, y) D xy
  • 18. Double Integrals The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. z = f(x, y) D xy
  • 19. Double Integrals The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. Over each Ri, there is a rectangular column with Ri as the base with a patch of z = f(x, y) as the roof that covers the column. z = f(x, y) D xy
  • 20. Double Integrals The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. Over each Ri, there is a rectangular column with Ri as the base with a patch of z = f(x, y) as the roof that covers the column. z = f(x, y) D / y x
  • 21. Double Integrals The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. Over each Ri, there is a rectangular column with Ri as the base with a patch of z = f(x, y) as the roof that covers the column. Let (xi, yi) be a point in Ri, and let Vi be the volume of this column, then Vi ≈ f(xi, yi) Ai. z = f(x, y) D (xi, yi) in Ri / y x
  • 22. Double Integrals y z = f(x, y) D (xi, yi) in Ri The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. Over each Ri, there is a rectangular column with Ri as the base with a patch of z = f(x, y) as the roof that covers the column. Let (xi, yi) be a point in Ri, and let Vi be the volume of this column, then Vi ≈ f(xi, yi) Ai. x / Vi ≈ f(xi, yi) Ai Ai
  • 23. Double Integrals y z = f(x, y) D (xi, yi) in Ri The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. Over each Ri, there is a rectangular column with Ri as the base with a patch of z = f(x, y) as the roof that covers the column. Let (xi, yi) be a point in Ri, and let Vi be the volume of this column, then Vi ≈ f(xi, yi) Ai. x / Ai f(xi, yi)
  • 24. Double Integrals y z = f(x, y) D (xi, yi) in Ri The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. Over each Ri, there is a rectangular column with Ri as the base with a patch of z = f(x, y) as the roof that covers the column. Let (xi, yi) be a point in Ri, and let Vi be the volume of this column, then Vi ≈ f(xi, yi) Ai. x / Vi ≈ f(xi, yi) Ai Ai f(xi, yi)
  • 25. Double Integrals y z = f(x, y) D (xi, yi) in Ri The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. Over each Ri, there is a rectangular column with Ri as the base with a patch of z = f(x, y) as the roof that covers the column. Let (xi, yi) be a point in Ri, and let Vi be the volume of this column, then Vi ≈ f(xi, yi) Ai. The entire volume V is approximately the sum of all the Vi, that is x / i=1 i=1 nn V ≈ ∑ Vi = ∑ f(xi, yi) Ai, Vi ≈ f(xi, yi) Ai Ai f(xi, yi)
  • 26. Double Integrals y z = f(x, y) D (xi, yi) in Ri The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. Over each Ri, there is a rectangular column with Ri as the base with a patch of z = f(x, y) as the roof that covers the column. Let (xi, yi) be a point in Ri, and let Vi be the volume of this column, then Vi ≈ f(xi, yi) Ai. The entire volume V is approximately the sum of all the Vi, that is x / i=1 i=1 nn V = lim ∑ Vi Ai 0 V ≈ ∑ Vi = ∑ f(xi, yi) Ai, specifically Vi ≈ f(xi, yi) Ai Ai f(xi, yi)
  • 27. Double Integrals y z = f(x, y) D (xi, yi) in Ri The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. Over each Ri, there is a rectangular column with Ri as the base with a patch of z = f(x, y) as the roof that covers the column. Let (xi, yi) be a point in Ri, and let Vi be the volume of this column, then Vi ≈ f(xi, yi) Ai. The entire volume V is approximately the sum of all the Vi, that is x / i=1 i=1 nn V = lim ∑ Vi = lim ∑f(xi, yi)Ai Ai 0 Ai 0 V ≈ ∑ Vi = ∑ f(xi, yi) Ai, specifically if the limit exists. Vi ≈ f(xi, yi) Ai Ai f(xi, yi)
  • 28. Double Integrals y z = f(x, y) D (xi, yi) in Ri The third way to compute the volume is to use the Fundemantal Theorem of Calculus directly. Partition the domain D into small rectangles (sub-rectangles) and label them as R1, R2,…Rn and let A1, A2,…, An be their areas. Over each Ri, there is a rectangular column with Ri as the base with a patch of z = f(x, y) as the roof that covers the column. Let (xi, yi) be a point in Ri, and let Vi be the volume of this column, then Vi ≈ f(xi, yi) Ai. The entire volume V is approximately the sum of all the Vi, that is x / V = f(x, y) dA.∫∫ i=1 i=1 nn V = lim ∑ Vi = lim ∑f(xi, yi)Ai Ai 0 Ai 0 D V ≈ ∑ Vi = ∑ f(xi, yi) Ai, specifically if the limit exists. Writing the above in the integral notation: Vi ≈ f(xi, yi) Ai Ai f(xi, yi)
  • 29. Double Integrals f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are called iterated integrals meaning the integral is done one step at a time.
  • 30. Double Integrals Theorem: Given z = f(x, y) > 0 a continuous function over the domnain [a, b] x [c. d], then the following are equal: f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are called iterated integrals meaning the integral is done one step at a time.
  • 31. Double Integrals Theorem: Given z = f(x, y) > 0 a continuous function over the domnain [a, b] x [c. d], then the following are equal: [ x=a b dy y=c d f(x, y) dx ]∫∫V = f(x, y) dA =∫∫D = [ x=a b dx y=c d f(x, y) dy ]∫ ∫ f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are called iterated integrals meaning the integral is done one step at a time.
  • 32. Double Integrals Theorem: Given z = f(x, y) > 0 a continuous function over the domnain [a, b] x [c. d], then the following are equal: Example: Fid the volume of z = f(x, y) = -2x – y + 6 over the domain [1, 2] x [2, 3] f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are called iterated integrals meaning the integral is done one step at a time. [ x=a b dy y=c d f(x, y) dx ]∫∫V = f(x, y) dA =∫∫D = [ x=a b dx y=c d f(x, y) dy ]∫ ∫
  • 33. Double Integrals Theorem: Given z = f(x, y) > 0 a continuous function over the domnain [a, b] x [c. d], then the following are equal: Example: Fid the volume of z = f(x, y) = -2x – y + 6 over the domain [1, 2] x [2, 3] x y 6 6 3 1 2 2 3 f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are called iterated integrals meaning the integral is done one step at a time. [ x=a b dy y=c d f(x, y) dx ]∫∫V = f(x, y) dA =∫∫D = [ x=a b dx y=c d f(x, y) dy ]∫ ∫
  • 34. Double Integrals Theorem: Given z = f(x, y) > 0 a continuous function over the domnain [a, b] x [c. d], then the following are equal: Example: Fid the volume of z = f(x, y) = -2x – y + 6 over the domain [1, 2] x [2, 3] x y 6 6 3 1 2 2 3 The volume is x=1 2 dx y=2 3 -2x – y + 6 dy∫ ∫ f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are called iterated integrals meaning the integral is done one step at a time. [ x=a b dy y=c d f(x, y) dx ]∫∫V = f(x, y) dA =∫∫D = [ x=a b dx y=c d f(x, y) dy ]∫ ∫
  • 35. Double Integrals Theorem: Given z = f(x, y) > 0 a continuous function over the domnain [a, b] x [c. d], then the following are equal: Example: Fid the volume of z = f(x, y) = -2x – y + 6 over the domain [1, 2] x [2, 3] x y 6 6 3 1 2 2 3 The volume is x=1 2 dx y=2 3 -2x – y + 6 dy∫ ∫ = x=1 2 ∫ -2xy – y2 /2 + 6y| dx y=2 3 f(x, y) dx dyThe integral dx andf(x, y) dy ∫∫∫∫ are called iterated integrals meaning the integral is done one step at a time. [ x=a b dy y=c d f(x, y) dx ]∫∫V = f(x, y) dA =∫∫D = [ x=a b dx y=c d f(x, y) dy ]∫ ∫
  • 36. Double Integrals x y 6 6 3 1 2 2 3 = x=1 2 ∫ -2xy – y2 /2 + 6y| dx y=2 3
  • 37. Double Integrals x y 6 6 3 1 2 2 3 = x=1 2 ∫ -2xy – y2 /2 + 6y| dx y=2 3 = x=1 2 ∫ (-6x – 9/2 + 18) – (-4x – 2 + 12) dx
  • 38. Double Integrals x y 6 6 3 1 2 2 3 = x=1 2 ∫ -2xy – y2 /2 + 6y| dx y=2 3 = x=1 2 ∫ (-6x – 9/2 + 18) – (-4x – 2 + 12) dx = x=1 2 ∫ -2x + 7/2 dx
  • 39. Double Integrals x y 6 6 3 1 2 2 3 = x=1 2 ∫ -2xy – y2 /2 + 6y| dx y=2 3 = x=1 2 ∫ (-6x – 9/2 + 18) – (-4x – 2 + 12) dx = x=1 2 ∫ -2x + 7/2 dx = -x2 + 7x/2 | x=1 2
  • 40. Double Integrals x y 6 6 3 1 2 2 3 = x=1 2 ∫ -2xy – y2 /2 + 6y| dx y=2 3 = x=1 2 ∫ (-6x – 9/2 + 18) – (-4x – 2 + 12) dx = x=1 2 ∫ -2x + 7/2 dx = -x2 + 7x/2 | x=1 2 = (-4 + 7) – (-1 + 7/2) = 1/2
  • 41. Double Integrals x y 6 6 3 1 2 2 3 = x=1 2 ∫ -2xy – y2 /2 + 6y| dx y=2 3 = x=1 2 ∫ (-6x – 9/2 + 18) – (-4x – 2 + 12) dx = x=1 2 ∫ -2x + 7/2 dx = -x2 + 7x/2 | x=1 2 = (-4 + 7) – (-1 + 7/2) = 1/2 HW: Check that 2 dy gives the same answer. 3 -2x – y + 6 dx∫ ∫x=1y=2
  • 42. Double Integrals x y 6 6 3 1 2 2 3 = x=1 2 ∫ -2xy – y2 /2 + 6y| dx y=2 3 = x=1 2 ∫ (-6x – 9/2 + 18) – (-4x – 2 + 12) dx = x=1 2 ∫ -2x + 7/2 dx = -x2 + 7x/2 | x=1 2 = (-4 + 7) – (-1 + 7/2) = 1/2 HW: Check that 2 dy gives the same answer. 3 -2x – y + 6 dx∫ ∫x=1y=2 It is possible that when setting up the iterated integrals that one way is computable, but its not computable if the order of integration is switched, even their answers are the same.
  • 43. Double Integrals Example: Find the where D = [0, 1] x [0, 1] D ex+2y dA∫ ∫
  • 44. Double Integrals Since ex+2y is continuous, we may change the integral to an iterated integral, say 0 1 dy 1 ex+2y dx∫ ∫x=0 Example: Find the where D = [0, 1] x [0, 1] D ex+2y dA∫ ∫
  • 45. Double Integrals Since ex+2y is continuous, we may change the integral to an iterated integral, say 0 1 dy 1 ex+2y dx∫ ∫x=0 = 0 1 1 ex+2y | dy∫ x=0 Example: Find the where D = [0, 1] x [0, 1] D ex+2y dA∫ ∫
  • 46. Double Integrals Since ex+2y is continuous, we may change the integral to an iterated integral, say 0 1 dy 1 ex+2y dx∫ ∫x=0 = 0 1 1 ex+2y | dy∫ x=0 = 0 1 e1+2y – e2y dy∫ Example: Find the where D = [0, 1] x [0, 1] D ex+2y dA∫ ∫
  • 47. Double Integrals Since ex+2y is continuous, we may change the integral to an iterated integral, say 0 1 dy 1 ex+2y dx∫ ∫x=0 = 0 1 1 ex+2y | dy∫ x=0 = 0 1 e1+2y – e2y dy∫ = (e1+2y – e2y ) | 1 y=0 1 2 Example: Find the where D = [0, 1] x [0, 1] D ex+2y dA∫ ∫
  • 48. Double Integrals Since ex+2y is continuous, we may change the integral to an iterated integral, say 0 1 dy 1 ex+2y dx∫ ∫x=0 = 0 1 1 ex+2y | dy∫ x=0 = 0 1 e1+2y – e2y dy∫ = (e1+2y – e2y ) | 1 y=0 = [(e3 – e2 ) – (e – 1)] = e3 – e2 – e +1 2 1 2 1 2 Example: Find the where D = [0, 1] x [0, 1] D ex+2y dA∫ ∫
  • 49. Double Integrals Lastly, we note that using the Fundemantal Theorem of Calculus to find volume, its not necessary that the D is a rectangle.
  • 50. Double Integrals Lastly, we note that using the Fundemantal Theorem of Calculus to find volume, its not necessary that the D is a rectangle. We approximate D with small rectangles (sub-rectangles) R1, R2,…Rn with A1, A2,…, An be their areas.
  • 51. Double Integrals Lastly, we note that using the Fundemantal Theorem of Calculus to find volume, its not necessary that the D is a rectangle. We approximate D with small rectangles (sub-rectangles) R1, R2,…Rn with A1, A2,…, An be their areas. R1 R3 R3 ...
  • 52. Double Integrals Lastly, we note that using the Fundemantal Theorem of Calculus to find volume, its not necessary that the D is a rectangle. We approximate D with small rectangles (sub-rectangles) R1, R2,…Rn with A1, A2,…, An be their areas. Select (xi, yi) a point in Ri, and let Vi be the volume of the column over Ri, then Vi ≈ f(xi, yi)*Ai. R1 R3 R3 ...
  • 53. Double Integrals Lastly, we note that using the Fundemantal Theorem of Calculus to find volume, its not necessary that the D is a rectangle. We approximate D with small rectangles (sub-rectangles) R1, R2,…Rn with A1, A2,…, An be their areas. Select (xi, yi) a point in Ri, and let Vi be the volume of the column over Ri, then Vi ≈ f(xi, yi)*Ai. The entire volume V is approxmately the sum of all the Vi : R1 R3 R3 ...
  • 54. Double Integrals Lastly, we note that using the Fundemantal Theorem of Calculus to find volume, its not necessary that the D is a rectangle. We approximate D with small rectangles (sub-rectangles) R1, R2,…Rn with A1, A2,…, An be their areas. Select (xi, yi) a point in Ri, and let Vi be the volume of the column over Ri, then Vi ≈ f(xi, yi)*Ai. The entire volume V is approxmately the sum of all the Vi : We define the volume to be the limit as the areas of sub-rectangles get smaller and go to 0, R1 R3 R3 ...
  • 55. Double Integrals Lastly, we note that using the Fundemantal Theorem of Calculus to find volume, its not necessary that the D is a rectangle. V = f(x, y) dA. We approximate D with small rectangles (sub-rectangles) R1, R2,…Rn with A1, A2,…, An be their areas. Select (xi, yi) a point in Ri, and let Vi be the volume of the column over Ri, then Vi ≈ f(xi, yi)*Ai. The entire volume V is approxmately the sum of all the Vi : ∫∫ We define the volume to be the limit as the areas of sub-rectangles get smaller and go to 0, that is: V = lim ∑ Vi = lim ∑f(xi, yi)Ai if the limit exists and write it as: Ai 0 Ai 0 D R1 R3 R3 ...
  • 56. Double Integrals Lastly, we note that using the Fundemantal Theorem of Calculus to find volume, its not necessary that the D is a rectangle. V = f(x, y) dA. We approximate D with small rectangles (sub-rectangles) R1, R2,…Rn with A1, A2,…, An be their areas. Select (xi, yi) a point in Ri, and let Vi be the volume of the column over Ri, then Vi ≈ f(xi, yi)*Ai. The entire volume V is approxmately the sum of all the Vi : ∫∫ We define the volume to be the limit as the areas of sub-rectangles get smaller and go to 0, that is: V = lim ∑ Vi = lim ∑f(xi, yi)Ai if the limit exists and write it as: Ai 0 Ai 0 D R1 R3 R3 ... In next section, we will convert this to iterated integrals.