SlideShare une entreprise Scribd logo
1  sur  36
Calculus III
Summer 2020
Lesson 3
Problem Set 4
“Mathematics is the art of giving
the same name to different things.”
- Henri Poincaré -
Lehman College, Department of Mathematics
The Dot Product of Two Vectors (1 of 4)
Let 𝐫 be the vector given by:
The vector 𝐫 may also be the written in the form:
By the Pythagorean theorem, we know that:
Similar to the plane above, in space we have:
The Pythagorean theorem yields:
We will use the form above to construct the dot product
of two vectors 𝐮 and 𝐯.
𝐫 𝑥, 𝑦 = 𝑥 𝐢 + 𝑦 𝐣
𝑟2 = 𝑥2 + 𝑦2 + 𝑧2
𝐫 𝑥, 𝑦 = 𝑥, 𝑦
𝐫 𝑥, 𝑦, 𝑧 = 𝑥, 𝑦, 𝑧
𝑟2 = 𝑥2 + 𝑦2
Lehman College, Department of Mathematics
The Dot Product of Two Vectors (2 of 4)
Let 𝐮 and 𝐯 be two vectors in space given by:
The dot product of 𝐮 and 𝐯 is defined as the quantity:
The dot product or two vectors yields a scalar quantity.
Similar to the radius vector earlier, we define the
magnitude 𝐯 of a vector 𝐯 through the scalar quantity:
Example 1. Find the dot product of the vectors 𝐮 and 𝐯:
𝐮 = 𝑢1, 𝑢2, 𝑢3 𝐯 = 𝑣1, 𝑣2, 𝑣3and
𝐮 ⋅ 𝐯 = 𝑢1 𝑣1 + 𝑢2 𝑣2 + 𝑢3 𝑣3
𝐯 2
= 𝑣1
2
+ 𝑣2
2
+ 𝑣3
2
= 𝐯 ⋅ 𝐯
𝐮 = 1, 0, 3 𝐯 = −2, 1, 2and
Lehman College, Department of Mathematics
The Dot Product of Two Vectors (3 of 4)
Solution. The dot product of the vectors 𝐮 and 𝐯 for:
is given by:
Consider the following vector diagram:
𝐮 = 1, 0, 3 𝐯 = −2, 1, 2and
𝐮 ⋅ 𝐯 = 1 −2 + 0 1 + 3 2 = −2 + 0 + 6 = 4
Here 𝜃 is the angle between
the vectors 𝐮 and 𝐯.
By the Cosine Rule:
𝐯 − 𝐮 2
= 𝐮 2
+ 𝐯 2
− 2 𝐮 𝐯 cos 𝜃
Lehman College, Department of Mathematics
The Dot Product of Two Vectors (4 of 4)
However, we can also write 𝐯 − 𝐮 2
as a dot product:
Comparing this to the result obtained earlier:
We conclude that:
Two vectors 𝐮 and 𝐯 are orthogonal if and only if:
𝐯 − 𝐮 2 = 𝐯 − 𝐮 ⋅ 𝐯 − 𝐮
= 𝐯 ⋅ 𝐯 − 𝐯 ⋅ 𝐮 − 𝐮 ⋅ 𝐯 + 𝐮 ⋅ 𝐮
= 𝐯 2 − 2𝐮 ⋅ 𝐯 + 𝐮 2
𝐯 − 𝐮 2
= 𝐮 2
+ 𝐯 2
− 2 𝐮 𝐯 cos 𝜃
𝐮 ⋅ 𝐯 = 𝐮 𝐯 cos 𝜃
𝐮 ⋅ 𝐯 = 0
Lehman College, Department of Mathematics
The Cross Product of Two Vectors (1 of 5)
Let 𝐮 and 𝐯 be two vectors in space given by:
This is equivalent to:
The cross product of 𝐮 and 𝐯 is defined as the quantity:
Above, we use the determinant of a 3 × 3 matrix.
The cross product or two vectors yields a vector.
𝐮 = 𝑢1, 𝑢2, 𝑢3 𝐯 = 𝑣1, 𝑣2, 𝑣3and
𝐮 × 𝐯 =
𝐢 𝐣 𝐤
𝑢1 𝑢2 𝑢3
𝑣1 𝑣2 𝑣3
𝐮 = 𝑢1 𝐢 + 𝑢2 𝐣 + 𝑢3 𝐤 and 𝐯 = 𝑣1 𝐢 + 𝑣2 𝐣 + 𝑣3 𝐤
Lehman College, Department of Mathematics
The Cross Product of Two Vectors (2 of 5)
We can show that the magnitude of the cross product:
where 𝜃 is the angle between the vectors 𝐮 and 𝐯.
Two vectors 𝐮 and 𝐯 are parallel if and only if:
Example 2. Given the two vectors 𝐮 = 𝐢 − 2 𝐣 + 𝐤 and
𝐯 = 3𝐢 + 𝐣 − 2𝐤, find the following:
𝐮 = 𝑢1, 𝑢2, 𝑢3 𝐯 = 𝑣1, 𝑣2, 𝑣3and
𝐮 × 𝐯 = 𝐮 𝐯 sin 𝜃
𝐮 × 𝐯 = 0
𝐮 × 𝐯 𝐯 × 𝐮(a) (b)
Lehman College, Department of Mathematics
The Cross Product of Two Vectors (3 of 5)
We know that the magnitude of the cross product is:
𝐮 × 𝐯 = 𝐮 𝐯 sin 𝜃
The vector 𝐮 × 𝐯 is
perpendicular to the plane
determined by the vectors 𝐮
and 𝐯.
How about the direction of the
vector 𝐮 × 𝐯?
where 𝜃 is the angle between the vectors
𝐮 and 𝐯.
We use the right-hand rule.
Lehman College, Department of Mathematics
The Cross Product of Two Vectors (4 of 5)
Example 2. Given the two vectors 𝐮 = 𝐢 − 2 𝐣 + 𝐤 and
𝐯 = 3𝐢 + 𝐣 − 2𝐤, find the following:
Solution. By the definition of the cross product:
𝐮 × 𝐯 𝐯 × 𝐮(a) (b)
𝐮 × 𝐯 =
𝐢 𝐣 𝐤
1 −2 1
3 1 −2
1 1
3 −2
𝐣 +=
−2 1
1 −2
𝐢 −
1 −2
3 1
𝐤
= 3𝐢 − (−5) 𝐣 + 7 𝐤
= 3𝐢 + 5 𝐣 + 7 𝐤
Lehman College, Department of Mathematics
The Cross Product of Two Vectors (5 of 5)
Solution (cont’d). From the previous slide:
This is an important property of the cross product. For
any two vectors 𝐮 and 𝐯:
𝐯 × 𝐮 =
𝐢 𝐣 𝐤
3 1 −2
1 −2 1
3 −2
1 1
𝐣 +=
1 −2
−2 1
𝐢 −
3 1
1 −2
𝐤
= −3𝐢 − 5 𝐣 + (−7) 𝐤
= −3𝐢 − 5 𝐣 − 7 𝐤
= −(𝐮 × 𝐯)
𝐯 × 𝐮 = −(𝐮 × 𝐯)
Lehman College, Department of Mathematics
Divergence, Gradient and Curl (1 of 5)
Let 𝑓 be a scalar function of 𝑥, 𝑦, 𝑧 with continuous
partial derivatives:
Then the gradient of 𝑓 is the vector-valued function:
Example 3. Given 𝑓 𝑥, 𝑦, 𝑧 = 𝑥3
+ 2𝑥𝑦2
+ 3𝑦𝑧2
, find ∇𝑓.
Solution. Determine the partial derivatives:
𝑓𝑥(𝑥, 𝑦, 𝑧) and𝑓𝑦(𝑥, 𝑦, 𝑧) 𝑓𝑧(𝑥, 𝑦, 𝑧)
∇𝑓 = 𝑓𝑥 𝑥, 𝑦, 𝑧 𝐢 + 𝑓𝑦 𝑥, 𝑦, 𝑧 𝐣 + 𝑓𝑧 𝑥, 𝑦, 𝑧 𝐤
𝑓𝑥 𝑥, 𝑦, 𝑧 = 3𝑥2
+ 2𝑦2 𝑓𝑦 𝑥, 𝑦, 𝑧 = 4𝑥𝑦 + 3𝑧2
𝑓𝑧 𝑥, 𝑦, 𝑧 = 6𝑦𝑧
∇𝑓 = 3𝑥2 + 2𝑦2 𝐢 + 4𝑥𝑦 + 3𝑧2 𝐣 + 6𝑦𝑧 𝐤
Lehman College, Department of Mathematics
Divergence, Gradient and Curl (2 of 5)
Let 𝐅(𝑥, 𝑦, 𝑧) be a vector field given by:
for functions 𝑀, 𝑁 and 𝑃 of 𝑥, 𝑦, 𝑧 with continuous
partial derivatives in an open sphere.
Then the divergence of 𝐅 is the scalar function:
Example 3. Given 𝐅 𝑥, 𝑦, 𝑧 = 𝑥3
𝑦2
𝑧 𝐢 + 𝑥2
𝑧 𝐣 + 𝑥2
𝑦 𝐤,
find the divergence of 𝐅 at the point 2, 1, −1 .
Solution. First determine the functions 𝑀, 𝑁 and 𝑃.
𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤
div 𝐅 𝑥, 𝑦, 𝑧 =
𝜕𝑀
𝜕𝑥
+
𝜕𝑁
𝜕𝑦
+
𝜕𝑃
𝜕𝑧
Lehman College, Department of Mathematics
Divergence, Gradient and Curl (3 of 5)
Solution. Since 𝐅 𝑥, 𝑦, 𝑧 = 𝑥3
𝑦2
𝑧 𝐢 + 𝑥2
𝑦 𝐣 + 𝑥𝑧2
𝐤, then
From the definition of divergence:
Therefore, we find the partial derivatives:
At the point 2, 1, −1 :
div 𝐅 𝑥, 𝑦, 𝑧 =
𝜕𝑀
𝜕𝑥
+
𝜕𝑁
𝜕𝑦
+
𝜕𝑃
𝜕𝑧
𝑀 𝑥, 𝑦, 𝑧 = 𝑥3 𝑦2 𝑧, 𝑁 𝑥, 𝑦, 𝑧 = 𝑥2 𝑦, 𝑃 𝑥, 𝑦, 𝑧 = 𝑥𝑧2
div 𝐅 𝑥, 𝑦, 𝑧 =
𝜕
𝜕𝑥
𝑥3
𝑦2
𝑧 +
𝜕
𝜕𝑦
𝑥2
𝑦 +
𝜕
𝜕𝑧
𝑥𝑧2
= 3𝑥2
𝑦2
𝑧 + 𝑥2
+ 2𝑥𝑧
div 𝐅 2, 1, −1 = 3 2 2
1 2
−1 + 2 2
+ 2 2 −1 =
Lehman College, Department of Mathematics
Divergence, Gradient and Curl (4 of 5)
We see that if 𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤, then
So we can write divergence as a symbolic dot product:
Where ∇ is the vector operator:
div 𝐅 𝑥, 𝑦, 𝑧 =
𝜕𝑀
𝜕𝑥
+
𝜕𝑁
𝜕𝑦
+
𝜕𝑃
𝜕𝑧
div 𝐅 𝑥, 𝑦, 𝑧 = ∇ ⋅ 𝐅
∇ =
𝜕
𝜕𝑥
,
𝜕
𝜕𝑦
,
𝜕
𝜕𝑧
Lehman College, Department of Mathematics
Divergence, Gradient and Curl (5 of 5)
Let 𝐅(𝑥, 𝑦, 𝑧) be a vector field given by:
for functions 𝑀, 𝑁 and 𝑃 of 𝑥, 𝑦, 𝑧 with continuous
partial derivatives in an open sphere.
Then the curl of 𝐅 is the vector-valued function:
From the definition of ∇, we see that (symbolically):
𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤
curl 𝐅 =
𝐢 𝐣 𝐤
𝜕
𝜕𝑥
𝜕
𝜕𝑦
𝜕
𝜕𝑧
𝑀 𝑁 𝑃
curl 𝐅 = ∇ × 𝐅
Lehman College, Department of Mathematics
Question 1 (1 of 7)
Consider the vector field
(b) Prove that 𝐅 is conservative and find a potential
function for 𝐅.
(c) Using the Fundamental Theorem of Line Integrals,
evaluate the line integral:
where 𝐶 is any smooth curve from (1, 2) to (3, 4).
Solution. A vector field 𝐅 is conservative if and only if:
𝐅(𝑥, 𝑦) =
1
1 + 𝑥𝑦
𝑦 𝐢 + 𝑥 𝐣
𝐶
𝑦 𝑑𝑥 + 𝑥 𝑑𝑦
1 + 𝑥𝑦
curl 𝐅 = 0
Lehman College, Department of Mathematics
Question 1 (2 of 7)
Solution (cont’d). To find curl 𝐅. If 𝐅 is of the form:
for functions 𝑀, 𝑁 and 𝑃 of 𝑥, 𝑦, 𝑧 with continuous
partial derivatives in an open sphere. Then:
If 𝑀 and 𝑁 are not dependent on 𝑧 and 𝑃 = 0, then the
above condition is equivalent to:
curl 𝐅 =
𝐢 𝐣 𝐤
𝜕
𝜕𝑥
𝜕
𝜕𝑦
𝜕
𝜕𝑧
𝑀 𝑁 𝑃
𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤
𝜕𝑁
𝜕𝑥
=
𝜕𝑀
𝜕𝑦
Lehman College, Department of Mathematics
Question 1 (3 of 7)
Solution (cont’d). For:
the functions 𝑀, 𝑁 are given by:
Therefore:
𝑀 =
𝑦
1 + 𝑥𝑦
𝐅(𝑥, 𝑦) =
1
1 + 𝑥𝑦
𝑦 𝐢 + 𝑥 𝐣
𝜕𝑁
𝜕𝑥
=
𝑁 =
𝑥
1 + 𝑥𝑦
and
𝜕
𝜕𝑥
𝑥 1 + 𝑥𝑦 −
1
2
= 1 ⋅ 1 + 𝑥𝑦 −
1
2 −
1
2
𝑥𝑦 1 + 𝑥𝑦 −
3
2
2 + 𝑥𝑦
2 1 + 𝑥𝑦
3
2
=
2 1 + 𝑥𝑦 − 𝑥𝑦
2 1 + 𝑥𝑦
3
2
=
Lehman College, Department of Mathematics
Question 1 (4 of 7)
Solution (cont’d). Similarly:
It follows that 𝐅 is a conservative vector field.
(c) To find the potential function 𝑓, we know that:
Therefore:
and:
𝜕𝑀
𝜕𝑦
=
2 + 𝑥𝑦
2 1 + 𝑥𝑦
3
2
𝐅 = ∇𝑓 = 𝑓𝑥 𝐢 + 𝑓𝑦 𝐣
𝑓𝑥 𝑥, 𝑦 = 𝑀 𝑥, 𝑦 =
𝑦
1 + 𝑥𝑦
𝑓𝑦 𝑥, 𝑦 = 𝑁 𝑥, 𝑦 =
𝑥
1 + 𝑥𝑦
Lehman College, Department of Mathematics
Question 1 (5 of 7)
Solution (cont’d). It follows that:
Let 𝑢 𝑥, 𝑦 = 1 + 𝑥𝑦, so
𝜕𝑢
𝜕𝑥
= 𝑦, and:
where 𝐾 is a constant.
𝑓(𝑥, 𝑦) =
2 1 + 𝑥𝑦 + 𝐾
𝑦
1 + 𝑥𝑦
𝑑𝑥
= 𝑦 1 + 𝑥𝑦 −
1
2 𝑑𝑥
𝑓(𝑥, 𝑦) =
𝑓𝑥 𝑥, 𝑦 𝑑𝑥 =
Lehman College, Department of Mathematics
Question 1 (6 of 7)
Fundamental Theorem of Line Integrals:
Let 𝐶 be a piecewise smooth curve lying in an open
region 𝑅 and given by:
If 𝐅 𝑥, 𝑦 = 𝑀 𝐢 + 𝑁 𝐣 is conservative in 𝑅, with 𝑀 and 𝑁
continuous in 𝑅, then:
where 𝑓 is a potential function of 𝐅 in 𝑅:
𝐫 𝑡 = 𝑥 𝑡 𝐢 + 𝑦 𝑡 𝐣 for 𝑎 ≤ 𝑡 ≤ 𝑏
𝐶
𝐅 ⋅ 𝑑𝐫 =
𝐶
𝛻𝑓 ⋅ 𝑑𝐫
= 𝑓 𝑥 𝑏 , 𝑦 𝑏 − 𝑓 𝑥 𝑎 , 𝑦 𝑎
𝐅 = 𝛻𝑓
Lehman College, Department of Mathematics
Question 1 (7 of 7)
(c) Using the Fundamental Theorem of Line Integrals,
evaluate the line integral:
where 𝐶 is any smooth curve from (1, 2) to (3, 4).
We see that the integrand represents 𝛻𝑓 ⋅ 𝑑𝐫 for:
By the Fundamental Theorem of Line Integrals:
𝐶
𝑦 𝑑𝑥 + 𝑥 𝑑𝑦
1 + 𝑥𝑦
2 1 + 𝑥𝑦𝑓(𝑥, 𝑦) =
𝐶
𝑦 𝑑𝑥 + 𝑥 𝑑𝑦
1 + 𝑥𝑦
= 𝑓 3, 4 − 𝑓 1, 2 = 2 13 − 3
Lehman College, Department of Mathematics
Fund. Theorem of Line Integrals (1 of 6)
Example 3 (Lar., p. 1085). Using the Fundamental
Theorem of Line Integrals, evaluate the line integral:
where 𝐶 is a smooth curve from (1, 1, 0) to (0, 2, 3).
Solution. Note that the line integral represents:
for the vector field 𝐅(𝑥, 𝑦, 𝑧) given by:
We will first establish that 𝐅 is conservative and find a
potential function 𝑓 for 𝐅.
𝐶
2𝑥𝑦 𝑑𝑥 + 𝑥2 + 𝑧2 𝑑𝑦 + 2𝑦𝑧 𝑑𝑧
𝐶
𝐅 ⋅ 𝑑𝐫
𝐅 𝑥, 𝑦, 𝑧 = 2𝑥𝑦 𝐢 + 𝑥2 + 𝑧2 𝐣 + 2𝑦z 𝐤
Lehman College, Department of Mathematics
Fund. Theorem of Line Integrals (2 of 6)
Solution. 𝐅 is conservative if and only if:
where:
with 𝑀 = 2𝑥𝑦, 𝑁 = 𝑥2
+ 𝑧2
, and 𝑃 = 2𝑦𝑧, since:
Now, curl 𝐅 is given by:
so, we need to evaluate the partial derivatives.
𝐅 𝑥, 𝑦, 𝑧 = 2𝑥𝑦 𝐢 + 𝑥2 + 𝑧2 𝐣 + 2𝑦z 𝐤
curl 𝐅 = 0
curl 𝐅 =
𝐢 𝐣 𝐤
𝜕
𝜕𝑥
𝜕
𝜕𝑦
𝜕
𝜕𝑧
𝑀 𝑁 𝑃
curl 𝐅 =
𝜕𝑃
𝜕𝑦
−
𝜕𝑁
𝜕𝑧
𝐢 −
𝜕𝑃
𝜕𝑥
−
𝜕𝑀
𝜕𝑧
𝐣 +
𝜕𝑁
𝜕𝑥
−
𝜕𝑀
𝜕𝑦
𝐤
Lehman College, Department of Mathematics
Fund. Theorem of Line Integrals (3 of 6)
Solution (cont’d). curl 𝐅 is given by:
where 𝑀 = 2𝑥𝑦, 𝑁 = 𝑥2
+ 𝑧2
, and 𝑃 = 2𝑦𝑧.
curl 𝐅 =
𝜕𝑃
𝜕𝑦
−
𝜕𝑁
𝜕𝑧
𝐢 −
𝜕𝑃
𝜕𝑥
−
𝜕𝑀
𝜕𝑧
𝐣 +
𝜕𝑁
𝜕𝑥
−
𝜕𝑀
𝜕𝑦
𝐤
𝜕𝑃
𝜕𝑦
=
𝜕
𝜕𝑦
2𝑦𝑧 = 2𝑧
𝜕𝑁
𝜕𝑧
=
𝜕
𝜕𝑧
𝑥2 + 𝑧2 = 2𝑧
𝜕𝑃
𝜕𝑥
=
𝜕
𝜕𝑥
2𝑦𝑧 = 0
𝜕𝑀
𝜕𝑧
=
𝜕
𝜕𝑧
2𝑥𝑦 = 0
𝜕𝑁
𝜕𝑥
=
𝜕
𝜕𝑥
𝑥2 + 𝑧2 = 2𝑥
𝜕𝑀
𝜕𝑦
=
𝜕
𝜕𝑦
2𝑥𝑦 = 2𝑥
Lehman College, Department of Mathematics
Fund. Theorem of Line Integrals (4 of 6)
Solution (cont’d). From the previous slide, we note:
It follows that:
Since curl 𝐅 is the zero vector, then 𝐅 is a conservative
vector field.
Hence, 𝐅 has a potential function 𝑓, such that:
It follows that:
curl 𝐅 = 0
𝜕𝑃
𝜕𝑦
=
𝜕𝑁
𝜕𝑧
= 2𝑧
𝜕𝑃
𝜕𝑥
=
𝜕𝑀
𝜕𝑧
= 0
𝜕𝑁
𝜕𝑥
=
𝜕𝑀
𝜕𝑦
= 2𝑥
𝐅 = ∇𝑓
𝑓𝑥 𝑥, 𝑦, 𝑧 = 𝑀 𝑥, 𝑦, 𝑧 = 2𝑥𝑦
𝑓𝑦 𝑥, 𝑦, 𝑧 = 𝑁 𝑥, 𝑦, 𝑧 = 𝑥2
+ 𝑧2
𝑓𝑧 𝑥, 𝑦, 𝑧 = 𝑃 𝑥, 𝑦, 𝑧 = 2𝑦𝑧
Lehman College, Department of Mathematics
Fund. Theorem of Line Integrals (5 of 6)
Solution (cont’d). Therefore:
It follows that:
Back to evaluating the line integral:
𝑓(𝑥, 𝑦, 𝑧) = 𝑓𝑥 𝑥, 𝑦, 𝑧 𝑑𝑥 = 2𝑥𝑦 𝑑𝑥 = 𝑥2 𝑦 + 𝐾1(𝑦, 𝑧)
𝑓(𝑥, 𝑦, 𝑧) = 𝑓𝑦 𝑥, 𝑦, 𝑧 𝑑𝑦 = 𝑥2 + 𝑧2 𝑑𝑦
= 𝑥2 𝑦 + 𝑦𝑧2 + 𝐾2(𝑥, 𝑧)
𝑓(𝑥, 𝑦, 𝑧) = 𝑓𝑧 𝑥, 𝑦, 𝑧 𝑑𝑧 = 2𝑦𝑧 𝑑𝑧 = 𝑦𝑧2 + 𝐾3(𝑥, 𝑦)
𝑓(𝑥, 𝑦, 𝑧) = 𝑥2 𝑦 + 𝑦𝑧2 + 𝐾
𝐶
2𝑥𝑦 𝑑𝑥 + 𝑥2
+ 𝑧2
𝑑𝑦 + 2𝑦𝑧 𝑑𝑧
Lehman College, Department of Mathematics
Fund. Theorem of Line Integrals (6 of 6)
Solution (cont’d). Recall that 𝐶 is a smooth curve from
(1, 1, 0) to (0, 2, 3), and that the potential function is:
By the Fundamental Theorem of Line Integrals:
= 𝑓 0, 2, 3 − 𝑓 1, 1, 0
𝐶
2𝑥𝑦 𝑑𝑥 + 𝑥2 + 𝑧2 𝑑𝑦 + 2𝑦𝑧 𝑑𝑧
𝑓(𝑥, 𝑦, 𝑧) = 𝑥2 𝑦 + 𝑦𝑧2 + 𝐾
= 18 − 1 = 17
Lehman College, Department of Mathematics
Question 2 (1 of 3)
Consider the vector field
(a) Find curl 𝐅 and div 𝐅.
(b) Prove that 𝐅 is not conservative.
Solution. (a) curl 𝐅 is given by:
where 𝑀 = 𝑥2
, 𝑁 = 𝑥𝑦2
, 𝑃 = 𝑥2
𝑧 are functions of 𝑥, 𝑦, 𝑧.
𝐅 𝑥, 𝑦, 𝑧 = 𝑥2 𝐢 + 𝑥𝑦2 𝐣 + 𝑥2 𝑧 𝐤
curl 𝐅 =
𝐢 𝐣 𝐤
𝜕
𝜕𝑥
𝜕
𝜕𝑦
𝜕
𝜕𝑧
𝑀 𝑁 𝑃
Lehman College, Department of Mathematics
Question 2 (2 of 3)
Solution (cont’d). curl 𝐅 is given by:
where 𝑀 = 𝑥2
, 𝑁 = 𝑥𝑦2
, 𝑃 = 𝑥2
𝑧 are functions of 𝑥, 𝑦, 𝑧.
curl 𝐅 =
𝜕𝑃
𝜕𝑦
−
𝜕𝑁
𝜕𝑧
𝐢 −
𝜕𝑃
𝜕𝑥
−
𝜕𝑀
𝜕𝑧
𝐣 +
𝜕𝑁
𝜕𝑥
−
𝜕𝑀
𝜕𝑦
𝐤
𝜕𝑃
𝜕𝑦
=
𝜕
𝜕𝑦
𝑥2
𝑧 = 0
𝜕𝑁
𝜕𝑧
=
𝜕
𝜕𝑧
𝑥𝑦2
= 0
𝜕𝑃
𝜕𝑥
=
𝜕
𝜕𝑥
𝑥2
𝑧 = 2𝑥𝑧
𝜕𝑀
𝜕𝑧
=
𝜕
𝜕𝑧
𝑥2
= 0
𝜕𝑁
𝜕𝑥
=
𝜕
𝜕𝑥
𝑥𝑦2 = 𝑦2 𝜕𝑀
𝜕𝑦
=
𝜕
𝜕𝑦
𝑥2
= 0
Lehman College, Department of Mathematics
Question 2 (3 of 3)
Solution (cont’d). From the previous slide, curl 𝐅 is:
To find div 𝐅, we know that it is defined as:
(b) Since curl 𝐅 is not the zero vector, then 𝐅 is not a
conservative vector field.
curl 𝐅 = −2𝑥𝑧 𝐣 + 𝑦2 𝐤
div 𝐅 = ∇ ⋅ 𝐅 =
𝜕
𝜕𝑥
,
𝜕
𝜕𝑦
,
𝜕
𝜕𝑧
⋅ 𝑀, 𝑁, 𝑃
=
𝜕𝑀
𝜕𝑥
+
𝜕𝑁
𝜕𝑦
+
𝜕𝑃
𝜕𝑧
=
𝜕
𝜕𝑥
𝑥2 +
𝜕
𝜕𝑦
𝑥𝑦2 +
𝜕
𝜕𝑧
𝑥2 𝑧
= 2𝑥 + 2𝑥𝑦 + 𝑥2
= 𝑥 1 + 𝑥 + 2𝑦
Lehman College, Department of Mathematics
Question 3 (1 of 2)
Find the work done by the force field:
on a particle moving along the path 𝐶 given by:
Solution. The work 𝑊 done by the force is given by:
where:
𝑊 =
𝐶
𝐅 ⋅ 𝑑𝐫 =
𝐅 𝑥, 𝑦 = 𝑥 𝐢 + 𝑦 𝐣 − 5z 𝐤
𝐫 𝑡 = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 + 𝑡 𝐤
0
2𝜋
𝐅(𝑟 𝑡 ) ⋅ 𝐫′ t 𝑑𝑡
𝐫 𝑡 = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 + 𝑡 𝐤
𝐫′ 𝑡 = −2 sin 𝑡 𝐢 + 2 cos 𝑡 𝐣 + 𝐤
𝐅 𝑟(𝑡) = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 − 5t 𝐤
Lehman College, Department of Mathematics
Question 3 (2 of 2)
Solution. The work 𝑊 done by the force is given by:
where:
So:
𝑊 =
0
2𝜋
𝐅(𝑟 𝑡 ) ⋅ 𝐫′
t 𝑑𝑡
𝐫 𝑡 = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 + 𝑡 𝐤
𝐫′ 𝑡 = −2 sin 𝑡 𝐢 + 2 cos 𝑡 𝐣 + 𝐤
𝐅 𝑟(𝑡) = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 − 5t 𝐤
𝑊 =
0
2𝜋
−4 sin 𝑡 cos 𝑡 + 4 sin 𝑡 cos 𝑡 − 5𝑡 𝑑𝑡
=
0
2𝜋
−5𝑡 𝑑𝑡 = −5
𝑡2
2 0
2𝜋
= −10𝜋2
Lehman College, Department of Mathematics
Question 4 (1 of 3)
Use Green’s theorem to evaluate the integral:
where 𝐶 is the boundary, oriented clockwise of the
region lying inside the semicircle 𝑦 = 25 − 𝑥2 and
outside the semicircle 𝑦 = 9 − 𝑥2.
Solution. By Green’s Theorem:
Here 𝑀(𝑥, 𝑦) = 𝑦 − 𝑥 and 𝑁(𝑥, 𝑦) = 2𝑥 − 𝑦. The region
𝐷 is bounded by the piecewise-smooth curve 𝐶
𝐶
𝑦 − 𝑥 𝑑𝑥 + 2𝑥 − 𝑦 𝑑𝑦
𝐶
𝑀𝑑𝑥 + 𝑁𝑑𝑦 =
𝐷
𝜕𝑁
𝜕𝑥
−
𝜕𝑀
𝜕𝑦
𝑑𝐴
Lehman College, Department of Mathematics
Question 4 (2 of 3)
Lehman College, Department of Mathematics
Question 4 (3 of 3)
Solution (cont’d). For the functions 𝑀(𝑥, 𝑦) = 𝑦 − 𝑥,
and 𝑁(𝑥, 𝑦) = 2𝑥 − 𝑦, we have:
It follows that:
The latter is the area of the region:
𝐷
2 − 1 𝑑𝐴
𝜕𝑁
𝜕𝑥
= 2 and
𝜕𝑀
𝜕𝑦
= 1
𝐶
𝑦 − 𝑥 𝑑𝑥 + 2𝑥 − 𝑦 𝑑𝑦 =
=
𝐷
𝑑𝐴
1
2
𝜋 25 − 9 = 8𝜋

Contenu connexe

Tendances

Chapter 3 Controlled Rectifier.pdf
Chapter 3 Controlled Rectifier.pdfChapter 3 Controlled Rectifier.pdf
Chapter 3 Controlled Rectifier.pdfLiewChiaPing
 
B conservative and non conservative forces
B conservative and non conservative forcesB conservative and non conservative forces
B conservative and non conservative forcesdukies_2000
 
Projecctile motion by sanjeev
Projecctile motion by sanjeev Projecctile motion by sanjeev
Projecctile motion by sanjeev sanjeev prajapati
 
Physics -vectors-projectile motion
Physics  -vectors-projectile motionPhysics  -vectors-projectile motion
Physics -vectors-projectile motionstephm32
 
Three phase delta connection
Three phase delta connectionThree phase delta connection
Three phase delta connectionMayur Ekhande
 
Moment of inertia
Moment of inertiaMoment of inertia
Moment of inertiaUsman Sajid
 
Module1 c - rajesh sir
Module1 c - rajesh sirModule1 c - rajesh sir
Module1 c - rajesh sirSHAMJITH KM
 
Problems on simply supported beams (udl , uvl and couple)
Problems on simply supported beams (udl , uvl and couple)Problems on simply supported beams (udl , uvl and couple)
Problems on simply supported beams (udl , uvl and couple)sushma chinta
 
Banking of Roads And Circular Motion.
Banking of Roads And Circular Motion.Banking of Roads And Circular Motion.
Banking of Roads And Circular Motion.hrishank
 
251527969 thermo-cheat-sheet
251527969 thermo-cheat-sheet251527969 thermo-cheat-sheet
251527969 thermo-cheat-sheetJackruby45
 
Ray Optics Class 12 Part-2
Ray Optics Class 12 Part-2Ray Optics Class 12 Part-2
Ray Optics Class 12 Part-2Self-employed
 
Gravitation (Class XI Brief)
Gravitation (Class XI Brief)Gravitation (Class XI Brief)
Gravitation (Class XI Brief)Aryavarta Giri
 

Tendances (20)

EQUIPOTENTIAL ENERGY
EQUIPOTENTIAL ENERGYEQUIPOTENTIAL ENERGY
EQUIPOTENTIAL ENERGY
 
Chapter 3 Controlled Rectifier.pdf
Chapter 3 Controlled Rectifier.pdfChapter 3 Controlled Rectifier.pdf
Chapter 3 Controlled Rectifier.pdf
 
B conservative and non conservative forces
B conservative and non conservative forcesB conservative and non conservative forces
B conservative and non conservative forces
 
Projecctile motion by sanjeev
Projecctile motion by sanjeev Projecctile motion by sanjeev
Projecctile motion by sanjeev
 
Aa2
Aa2Aa2
Aa2
 
Physics -vectors-projectile motion
Physics  -vectors-projectile motionPhysics  -vectors-projectile motion
Physics -vectors-projectile motion
 
Rotacion
RotacionRotacion
Rotacion
 
Three phase delta connection
Three phase delta connectionThree phase delta connection
Three phase delta connection
 
5.Hall Effect
5.Hall Effect5.Hall Effect
5.Hall Effect
 
Moment of Inertia - 10.01.03.061
Moment of Inertia - 10.01.03.061Moment of Inertia - 10.01.03.061
Moment of Inertia - 10.01.03.061
 
Moment of inertia
Moment of inertiaMoment of inertia
Moment of inertia
 
Module1 c - rajesh sir
Module1 c - rajesh sirModule1 c - rajesh sir
Module1 c - rajesh sir
 
Problems on simply supported beams (udl , uvl and couple)
Problems on simply supported beams (udl , uvl and couple)Problems on simply supported beams (udl , uvl and couple)
Problems on simply supported beams (udl , uvl and couple)
 
Banking of Roads And Circular Motion.
Banking of Roads And Circular Motion.Banking of Roads And Circular Motion.
Banking of Roads And Circular Motion.
 
Structures and Materials- Section 6 Axially Loaded Structural Members
Structures and Materials- Section 6 Axially Loaded Structural MembersStructures and Materials- Section 6 Axially Loaded Structural Members
Structures and Materials- Section 6 Axially Loaded Structural Members
 
Similarity
SimilaritySimilarity
Similarity
 
251527969 thermo-cheat-sheet
251527969 thermo-cheat-sheet251527969 thermo-cheat-sheet
251527969 thermo-cheat-sheet
 
WAVE MOTION-1
WAVE MOTION-1WAVE MOTION-1
WAVE MOTION-1
 
Ray Optics Class 12 Part-2
Ray Optics Class 12 Part-2Ray Optics Class 12 Part-2
Ray Optics Class 12 Part-2
 
Gravitation (Class XI Brief)
Gravitation (Class XI Brief)Gravitation (Class XI Brief)
Gravitation (Class XI Brief)
 

Similaire à Lesson 3: Problem Set 4

Lesson 2: Final Exam Review (Part 1)
Lesson 2: Final Exam Review (Part 1)Lesson 2: Final Exam Review (Part 1)
Lesson 2: Final Exam Review (Part 1)Kevin Johnson
 
Concepts and Applications of the Fundamental Theorem of Line Integrals.pdf
Concepts and Applications of the Fundamental Theorem of Line Integrals.pdfConcepts and Applications of the Fundamental Theorem of Line Integrals.pdf
Concepts and Applications of the Fundamental Theorem of Line Integrals.pdfJacobBraginsky
 
Lesson 21: More Algebra
Lesson 21: More AlgebraLesson 21: More Algebra
Lesson 21: More AlgebraKevin Johnson
 
P2-Chp12-Vectors.pptx
P2-Chp12-Vectors.pptxP2-Chp12-Vectors.pptx
P2-Chp12-Vectors.pptxStephenJude3
 
Comparative analysis of x^3+y^3=z^3 and x^2+y^2=z^2 in the Interconnected Sets
Comparative analysis of x^3+y^3=z^3 and x^2+y^2=z^2 in the Interconnected Sets Comparative analysis of x^3+y^3=z^3 and x^2+y^2=z^2 in the Interconnected Sets
Comparative analysis of x^3+y^3=z^3 and x^2+y^2=z^2 in the Interconnected Sets Vladimir Godovalov
 
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...mathsjournal
 
Lesson 11: Functions and Function Notation
Lesson 11: Functions and Function NotationLesson 11: Functions and Function Notation
Lesson 11: Functions and Function NotationKevin Johnson
 
Helmholtz equation (Motivations and Solutions)
Helmholtz equation (Motivations and Solutions)Helmholtz equation (Motivations and Solutions)
Helmholtz equation (Motivations and Solutions)Hassaan Saleem
 
Lesson 22: Polynomial Long Division
Lesson 22: Polynomial Long DivisionLesson 22: Polynomial Long Division
Lesson 22: Polynomial Long DivisionKevin Johnson
 
Lesson 9: Linear Relations and Lines
Lesson 9: Linear Relations and LinesLesson 9: Linear Relations and Lines
Lesson 9: Linear Relations and LinesKevin Johnson
 
ANALISIS RIIL 1 3.2 ROBERT G BARTLE
ANALISIS RIIL 1 3.2 ROBERT G BARTLEANALISIS RIIL 1 3.2 ROBERT G BARTLE
ANALISIS RIIL 1 3.2 ROBERT G BARTLEMuhammad Nur Chalim
 
Lesson 17: Quadratic Functions
Lesson 17: Quadratic FunctionsLesson 17: Quadratic Functions
Lesson 17: Quadratic FunctionsKevin Johnson
 
Lesson 10: Solving Quadratic Equations
Lesson 10: Solving Quadratic EquationsLesson 10: Solving Quadratic Equations
Lesson 10: Solving Quadratic EquationsKevin Johnson
 
B.tech ii unit-4 material vector differentiation
B.tech ii unit-4 material vector differentiationB.tech ii unit-4 material vector differentiation
B.tech ii unit-4 material vector differentiationRai University
 

Similaire à Lesson 3: Problem Set 4 (20)

Lesson 2: Final Exam Review (Part 1)
Lesson 2: Final Exam Review (Part 1)Lesson 2: Final Exam Review (Part 1)
Lesson 2: Final Exam Review (Part 1)
 
Concepts and Applications of the Fundamental Theorem of Line Integrals.pdf
Concepts and Applications of the Fundamental Theorem of Line Integrals.pdfConcepts and Applications of the Fundamental Theorem of Line Integrals.pdf
Concepts and Applications of the Fundamental Theorem of Line Integrals.pdf
 
A05330107
A05330107A05330107
A05330107
 
Lesson 21: More Algebra
Lesson 21: More AlgebraLesson 21: More Algebra
Lesson 21: More Algebra
 
P2-Chp12-Vectors.pptx
P2-Chp12-Vectors.pptxP2-Chp12-Vectors.pptx
P2-Chp12-Vectors.pptx
 
Comparative analysis of x^3+y^3=z^3 and x^2+y^2=z^2 in the Interconnected Sets
Comparative analysis of x^3+y^3=z^3 and x^2+y^2=z^2 in the Interconnected Sets Comparative analysis of x^3+y^3=z^3 and x^2+y^2=z^2 in the Interconnected Sets
Comparative analysis of x^3+y^3=z^3 and x^2+y^2=z^2 in the Interconnected Sets
 
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
 
Vectors Yr 1.pptx
Vectors Yr 1.pptxVectors Yr 1.pptx
Vectors Yr 1.pptx
 
Lesson 11: Functions and Function Notation
Lesson 11: Functions and Function NotationLesson 11: Functions and Function Notation
Lesson 11: Functions and Function Notation
 
On the Analysis of the Finite Element Solutions of Boundary Value Problems Us...
On the Analysis of the Finite Element Solutions of Boundary Value Problems Us...On the Analysis of the Finite Element Solutions of Boundary Value Problems Us...
On the Analysis of the Finite Element Solutions of Boundary Value Problems Us...
 
E04 06 3943
E04 06 3943E04 06 3943
E04 06 3943
 
lec19.ppt
lec19.pptlec19.ppt
lec19.ppt
 
Helmholtz equation (Motivations and Solutions)
Helmholtz equation (Motivations and Solutions)Helmholtz equation (Motivations and Solutions)
Helmholtz equation (Motivations and Solutions)
 
Lesson 22: Polynomial Long Division
Lesson 22: Polynomial Long DivisionLesson 22: Polynomial Long Division
Lesson 22: Polynomial Long Division
 
Lesson 9: Linear Relations and Lines
Lesson 9: Linear Relations and LinesLesson 9: Linear Relations and Lines
Lesson 9: Linear Relations and Lines
 
ANALISIS RIIL 1 3.2 ROBERT G BARTLE
ANALISIS RIIL 1 3.2 ROBERT G BARTLEANALISIS RIIL 1 3.2 ROBERT G BARTLE
ANALISIS RIIL 1 3.2 ROBERT G BARTLE
 
Unit 2 Algebra of Vectors.pptx
Unit 2 Algebra of Vectors.pptxUnit 2 Algebra of Vectors.pptx
Unit 2 Algebra of Vectors.pptx
 
Lesson 17: Quadratic Functions
Lesson 17: Quadratic FunctionsLesson 17: Quadratic Functions
Lesson 17: Quadratic Functions
 
Lesson 10: Solving Quadratic Equations
Lesson 10: Solving Quadratic EquationsLesson 10: Solving Quadratic Equations
Lesson 10: Solving Quadratic Equations
 
B.tech ii unit-4 material vector differentiation
B.tech ii unit-4 material vector differentiationB.tech ii unit-4 material vector differentiation
B.tech ii unit-4 material vector differentiation
 

Plus de Kevin Johnson

Lesson 20: Trigonometric Functions of Any Angle Part 1
Lesson 20: Trigonometric Functions of Any Angle Part 1Lesson 20: Trigonometric Functions of Any Angle Part 1
Lesson 20: Trigonometric Functions of Any Angle Part 1Kevin Johnson
 
Lesson 19: Exponential and Logarithmic Functions
Lesson 19: Exponential and Logarithmic FunctionsLesson 19: Exponential and Logarithmic Functions
Lesson 19: Exponential and Logarithmic FunctionsKevin Johnson
 
Lesson 18: Rational Exponents
Lesson 18: Rational ExponentsLesson 18: Rational Exponents
Lesson 18: Rational ExponentsKevin Johnson
 
Lesson 16: More Inequalities
Lesson 16: More InequalitiesLesson 16: More Inequalities
Lesson 16: More InequalitiesKevin Johnson
 
Lesson 14: Equation of a Circle
Lesson 14: Equation of a CircleLesson 14: Equation of a Circle
Lesson 14: Equation of a CircleKevin Johnson
 
Lesson 13: Midpoint and Distance Formulas
Lesson 13: Midpoint and Distance FormulasLesson 13: Midpoint and Distance Formulas
Lesson 13: Midpoint and Distance FormulasKevin Johnson
 
Lesson 12: Right Triangle Trigonometry
Lesson 12: Right Triangle TrigonometryLesson 12: Right Triangle Trigonometry
Lesson 12: Right Triangle TrigonometryKevin Johnson
 
Lesson 8: Rational Functions
Lesson 8: Rational FunctionsLesson 8: Rational Functions
Lesson 8: Rational FunctionsKevin Johnson
 
Lesson 7: Graphing Inequalities
Lesson 7: Graphing InequalitiesLesson 7: Graphing Inequalities
Lesson 7: Graphing InequalitiesKevin Johnson
 
Lesson 6: Factoring Polynomials
Lesson 6: Factoring PolynomialsLesson 6: Factoring Polynomials
Lesson 6: Factoring PolynomialsKevin Johnson
 
Lesson 5: Polynomials
Lesson 5: PolynomialsLesson 5: Polynomials
Lesson 5: PolynomialsKevin Johnson
 
Lesson 4: Decimal to Scientific Notation
Lesson 4: Decimal to Scientific NotationLesson 4: Decimal to Scientific Notation
Lesson 4: Decimal to Scientific NotationKevin Johnson
 
Lesson 2: Inequalities
Lesson 2: InequalitiesLesson 2: Inequalities
Lesson 2: InequalitiesKevin Johnson
 
Lesson 3: Exponential Notation
Lesson 3: Exponential NotationLesson 3: Exponential Notation
Lesson 3: Exponential NotationKevin Johnson
 
Lesson 1: The Real Number System
Lesson 1: The Real Number SystemLesson 1: The Real Number System
Lesson 1: The Real Number SystemKevin Johnson
 
MAT-314 Midterm Exam 2 Review
MAT-314 Midterm Exam 2 ReviewMAT-314 Midterm Exam 2 Review
MAT-314 Midterm Exam 2 ReviewKevin Johnson
 
Section 11: Normal Subgroups
Section 11: Normal SubgroupsSection 11: Normal Subgroups
Section 11: Normal SubgroupsKevin Johnson
 
Section 10: Lagrange's Theorem
Section 10: Lagrange's TheoremSection 10: Lagrange's Theorem
Section 10: Lagrange's TheoremKevin Johnson
 
Section 9: Equivalence Relations & Cosets
Section 9: Equivalence Relations & CosetsSection 9: Equivalence Relations & Cosets
Section 9: Equivalence Relations & CosetsKevin Johnson
 

Plus de Kevin Johnson (20)

Lesson 20: Trigonometric Functions of Any Angle Part 1
Lesson 20: Trigonometric Functions of Any Angle Part 1Lesson 20: Trigonometric Functions of Any Angle Part 1
Lesson 20: Trigonometric Functions of Any Angle Part 1
 
Lesson 19: Exponential and Logarithmic Functions
Lesson 19: Exponential and Logarithmic FunctionsLesson 19: Exponential and Logarithmic Functions
Lesson 19: Exponential and Logarithmic Functions
 
Lesson 18: Rational Exponents
Lesson 18: Rational ExponentsLesson 18: Rational Exponents
Lesson 18: Rational Exponents
 
Lesson 16: More Inequalities
Lesson 16: More InequalitiesLesson 16: More Inequalities
Lesson 16: More Inequalities
 
Lesson 15: Geometry
Lesson 15: GeometryLesson 15: Geometry
Lesson 15: Geometry
 
Lesson 14: Equation of a Circle
Lesson 14: Equation of a CircleLesson 14: Equation of a Circle
Lesson 14: Equation of a Circle
 
Lesson 13: Midpoint and Distance Formulas
Lesson 13: Midpoint and Distance FormulasLesson 13: Midpoint and Distance Formulas
Lesson 13: Midpoint and Distance Formulas
 
Lesson 12: Right Triangle Trigonometry
Lesson 12: Right Triangle TrigonometryLesson 12: Right Triangle Trigonometry
Lesson 12: Right Triangle Trigonometry
 
Lesson 8: Rational Functions
Lesson 8: Rational FunctionsLesson 8: Rational Functions
Lesson 8: Rational Functions
 
Lesson 7: Graphing Inequalities
Lesson 7: Graphing InequalitiesLesson 7: Graphing Inequalities
Lesson 7: Graphing Inequalities
 
Lesson 6: Factoring Polynomials
Lesson 6: Factoring PolynomialsLesson 6: Factoring Polynomials
Lesson 6: Factoring Polynomials
 
Lesson 5: Polynomials
Lesson 5: PolynomialsLesson 5: Polynomials
Lesson 5: Polynomials
 
Lesson 4: Decimal to Scientific Notation
Lesson 4: Decimal to Scientific NotationLesson 4: Decimal to Scientific Notation
Lesson 4: Decimal to Scientific Notation
 
Lesson 2: Inequalities
Lesson 2: InequalitiesLesson 2: Inequalities
Lesson 2: Inequalities
 
Lesson 3: Exponential Notation
Lesson 3: Exponential NotationLesson 3: Exponential Notation
Lesson 3: Exponential Notation
 
Lesson 1: The Real Number System
Lesson 1: The Real Number SystemLesson 1: The Real Number System
Lesson 1: The Real Number System
 
MAT-314 Midterm Exam 2 Review
MAT-314 Midterm Exam 2 ReviewMAT-314 Midterm Exam 2 Review
MAT-314 Midterm Exam 2 Review
 
Section 11: Normal Subgroups
Section 11: Normal SubgroupsSection 11: Normal Subgroups
Section 11: Normal Subgroups
 
Section 10: Lagrange's Theorem
Section 10: Lagrange's TheoremSection 10: Lagrange's Theorem
Section 10: Lagrange's Theorem
 
Section 9: Equivalence Relations & Cosets
Section 9: Equivalence Relations & CosetsSection 9: Equivalence Relations & Cosets
Section 9: Equivalence Relations & Cosets
 

Dernier

Davis plaque method.pptx recombinant DNA technology
Davis plaque method.pptx recombinant DNA technologyDavis plaque method.pptx recombinant DNA technology
Davis plaque method.pptx recombinant DNA technologycaarthichand2003
 
Call Girls in Majnu Ka Tilla Delhi 🔝9711014705🔝 Genuine
Call Girls in Majnu Ka Tilla Delhi 🔝9711014705🔝 GenuineCall Girls in Majnu Ka Tilla Delhi 🔝9711014705🔝 Genuine
Call Girls in Majnu Ka Tilla Delhi 🔝9711014705🔝 Genuinethapagita
 
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)riyaescorts54
 
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...lizamodels9
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxmalonesandreagweneth
 
Topic 9- General Principles of International Law.pptx
Topic 9- General Principles of International Law.pptxTopic 9- General Principles of International Law.pptx
Topic 9- General Principles of International Law.pptxJorenAcuavera1
 
Pests of jatropha_Bionomics_identification_Dr.UPR.pdf
Pests of jatropha_Bionomics_identification_Dr.UPR.pdfPests of jatropha_Bionomics_identification_Dr.UPR.pdf
Pests of jatropha_Bionomics_identification_Dr.UPR.pdfPirithiRaju
 
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...Universidade Federal de Sergipe - UFS
 
User Guide: Orion™ Weather Station (Columbia Weather Systems)
User Guide: Orion™ Weather Station (Columbia Weather Systems)User Guide: Orion™ Weather Station (Columbia Weather Systems)
User Guide: Orion™ Weather Station (Columbia Weather Systems)Columbia Weather Systems
 
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPirithiRaju
 
trihybrid cross , test cross chi squares
trihybrid cross , test cross chi squarestrihybrid cross , test cross chi squares
trihybrid cross , test cross chi squaresusmanzain586
 
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptxSTOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptxMurugaveni B
 
Thermodynamics ,types of system,formulae ,gibbs free energy .pptx
Thermodynamics ,types of system,formulae ,gibbs free energy .pptxThermodynamics ,types of system,formulae ,gibbs free energy .pptx
Thermodynamics ,types of system,formulae ,gibbs free energy .pptxuniversity
 
Observational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsObservational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsSérgio Sacani
 
Speech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxSpeech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxpriyankatabhane
 
Citronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyayCitronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyayupadhyaymani499
 
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPirithiRaju
 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensorsonawaneprad
 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentationtahreemzahra82
 

Dernier (20)

Davis plaque method.pptx recombinant DNA technology
Davis plaque method.pptx recombinant DNA technologyDavis plaque method.pptx recombinant DNA technology
Davis plaque method.pptx recombinant DNA technology
 
Call Girls in Majnu Ka Tilla Delhi 🔝9711014705🔝 Genuine
Call Girls in Majnu Ka Tilla Delhi 🔝9711014705🔝 GenuineCall Girls in Majnu Ka Tilla Delhi 🔝9711014705🔝 Genuine
Call Girls in Majnu Ka Tilla Delhi 🔝9711014705🔝 Genuine
 
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
(9818099198) Call Girls In Noida Sector 14 (NOIDA ESCORTS)
 
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
 
Topic 9- General Principles of International Law.pptx
Topic 9- General Principles of International Law.pptxTopic 9- General Principles of International Law.pptx
Topic 9- General Principles of International Law.pptx
 
Pests of jatropha_Bionomics_identification_Dr.UPR.pdf
Pests of jatropha_Bionomics_identification_Dr.UPR.pdfPests of jatropha_Bionomics_identification_Dr.UPR.pdf
Pests of jatropha_Bionomics_identification_Dr.UPR.pdf
 
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...
 
User Guide: Orion™ Weather Station (Columbia Weather Systems)
User Guide: Orion™ Weather Station (Columbia Weather Systems)User Guide: Orion™ Weather Station (Columbia Weather Systems)
User Guide: Orion™ Weather Station (Columbia Weather Systems)
 
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
 
trihybrid cross , test cross chi squares
trihybrid cross , test cross chi squarestrihybrid cross , test cross chi squares
trihybrid cross , test cross chi squares
 
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptxSTOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
 
Thermodynamics ,types of system,formulae ,gibbs free energy .pptx
Thermodynamics ,types of system,formulae ,gibbs free energy .pptxThermodynamics ,types of system,formulae ,gibbs free energy .pptx
Thermodynamics ,types of system,formulae ,gibbs free energy .pptx
 
Observational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsObservational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive stars
 
Speech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxSpeech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptx
 
Let’s Say Someone Did Drop the Bomb. Then What?
Let’s Say Someone Did Drop the Bomb. Then What?Let’s Say Someone Did Drop the Bomb. Then What?
Let’s Say Someone Did Drop the Bomb. Then What?
 
Citronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyayCitronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyay
 
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdf
 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensor
 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentation
 

Lesson 3: Problem Set 4

  • 1. Calculus III Summer 2020 Lesson 3 Problem Set 4 “Mathematics is the art of giving the same name to different things.” - Henri Poincaré -
  • 2. Lehman College, Department of Mathematics The Dot Product of Two Vectors (1 of 4) Let 𝐫 be the vector given by: The vector 𝐫 may also be the written in the form: By the Pythagorean theorem, we know that: Similar to the plane above, in space we have: The Pythagorean theorem yields: We will use the form above to construct the dot product of two vectors 𝐮 and 𝐯. 𝐫 𝑥, 𝑦 = 𝑥 𝐢 + 𝑦 𝐣 𝑟2 = 𝑥2 + 𝑦2 + 𝑧2 𝐫 𝑥, 𝑦 = 𝑥, 𝑦 𝐫 𝑥, 𝑦, 𝑧 = 𝑥, 𝑦, 𝑧 𝑟2 = 𝑥2 + 𝑦2
  • 3. Lehman College, Department of Mathematics The Dot Product of Two Vectors (2 of 4) Let 𝐮 and 𝐯 be two vectors in space given by: The dot product of 𝐮 and 𝐯 is defined as the quantity: The dot product or two vectors yields a scalar quantity. Similar to the radius vector earlier, we define the magnitude 𝐯 of a vector 𝐯 through the scalar quantity: Example 1. Find the dot product of the vectors 𝐮 and 𝐯: 𝐮 = 𝑢1, 𝑢2, 𝑢3 𝐯 = 𝑣1, 𝑣2, 𝑣3and 𝐮 ⋅ 𝐯 = 𝑢1 𝑣1 + 𝑢2 𝑣2 + 𝑢3 𝑣3 𝐯 2 = 𝑣1 2 + 𝑣2 2 + 𝑣3 2 = 𝐯 ⋅ 𝐯 𝐮 = 1, 0, 3 𝐯 = −2, 1, 2and
  • 4. Lehman College, Department of Mathematics The Dot Product of Two Vectors (3 of 4) Solution. The dot product of the vectors 𝐮 and 𝐯 for: is given by: Consider the following vector diagram: 𝐮 = 1, 0, 3 𝐯 = −2, 1, 2and 𝐮 ⋅ 𝐯 = 1 −2 + 0 1 + 3 2 = −2 + 0 + 6 = 4 Here 𝜃 is the angle between the vectors 𝐮 and 𝐯. By the Cosine Rule: 𝐯 − 𝐮 2 = 𝐮 2 + 𝐯 2 − 2 𝐮 𝐯 cos 𝜃
  • 5. Lehman College, Department of Mathematics The Dot Product of Two Vectors (4 of 4) However, we can also write 𝐯 − 𝐮 2 as a dot product: Comparing this to the result obtained earlier: We conclude that: Two vectors 𝐮 and 𝐯 are orthogonal if and only if: 𝐯 − 𝐮 2 = 𝐯 − 𝐮 ⋅ 𝐯 − 𝐮 = 𝐯 ⋅ 𝐯 − 𝐯 ⋅ 𝐮 − 𝐮 ⋅ 𝐯 + 𝐮 ⋅ 𝐮 = 𝐯 2 − 2𝐮 ⋅ 𝐯 + 𝐮 2 𝐯 − 𝐮 2 = 𝐮 2 + 𝐯 2 − 2 𝐮 𝐯 cos 𝜃 𝐮 ⋅ 𝐯 = 𝐮 𝐯 cos 𝜃 𝐮 ⋅ 𝐯 = 0
  • 6. Lehman College, Department of Mathematics The Cross Product of Two Vectors (1 of 5) Let 𝐮 and 𝐯 be two vectors in space given by: This is equivalent to: The cross product of 𝐮 and 𝐯 is defined as the quantity: Above, we use the determinant of a 3 × 3 matrix. The cross product or two vectors yields a vector. 𝐮 = 𝑢1, 𝑢2, 𝑢3 𝐯 = 𝑣1, 𝑣2, 𝑣3and 𝐮 × 𝐯 = 𝐢 𝐣 𝐤 𝑢1 𝑢2 𝑢3 𝑣1 𝑣2 𝑣3 𝐮 = 𝑢1 𝐢 + 𝑢2 𝐣 + 𝑢3 𝐤 and 𝐯 = 𝑣1 𝐢 + 𝑣2 𝐣 + 𝑣3 𝐤
  • 7. Lehman College, Department of Mathematics The Cross Product of Two Vectors (2 of 5) We can show that the magnitude of the cross product: where 𝜃 is the angle between the vectors 𝐮 and 𝐯. Two vectors 𝐮 and 𝐯 are parallel if and only if: Example 2. Given the two vectors 𝐮 = 𝐢 − 2 𝐣 + 𝐤 and 𝐯 = 3𝐢 + 𝐣 − 2𝐤, find the following: 𝐮 = 𝑢1, 𝑢2, 𝑢3 𝐯 = 𝑣1, 𝑣2, 𝑣3and 𝐮 × 𝐯 = 𝐮 𝐯 sin 𝜃 𝐮 × 𝐯 = 0 𝐮 × 𝐯 𝐯 × 𝐮(a) (b)
  • 8. Lehman College, Department of Mathematics The Cross Product of Two Vectors (3 of 5) We know that the magnitude of the cross product is: 𝐮 × 𝐯 = 𝐮 𝐯 sin 𝜃 The vector 𝐮 × 𝐯 is perpendicular to the plane determined by the vectors 𝐮 and 𝐯. How about the direction of the vector 𝐮 × 𝐯? where 𝜃 is the angle between the vectors 𝐮 and 𝐯. We use the right-hand rule.
  • 9. Lehman College, Department of Mathematics The Cross Product of Two Vectors (4 of 5) Example 2. Given the two vectors 𝐮 = 𝐢 − 2 𝐣 + 𝐤 and 𝐯 = 3𝐢 + 𝐣 − 2𝐤, find the following: Solution. By the definition of the cross product: 𝐮 × 𝐯 𝐯 × 𝐮(a) (b) 𝐮 × 𝐯 = 𝐢 𝐣 𝐤 1 −2 1 3 1 −2 1 1 3 −2 𝐣 += −2 1 1 −2 𝐢 − 1 −2 3 1 𝐤 = 3𝐢 − (−5) 𝐣 + 7 𝐤 = 3𝐢 + 5 𝐣 + 7 𝐤
  • 10. Lehman College, Department of Mathematics The Cross Product of Two Vectors (5 of 5) Solution (cont’d). From the previous slide: This is an important property of the cross product. For any two vectors 𝐮 and 𝐯: 𝐯 × 𝐮 = 𝐢 𝐣 𝐤 3 1 −2 1 −2 1 3 −2 1 1 𝐣 += 1 −2 −2 1 𝐢 − 3 1 1 −2 𝐤 = −3𝐢 − 5 𝐣 + (−7) 𝐤 = −3𝐢 − 5 𝐣 − 7 𝐤 = −(𝐮 × 𝐯) 𝐯 × 𝐮 = −(𝐮 × 𝐯)
  • 11. Lehman College, Department of Mathematics Divergence, Gradient and Curl (1 of 5) Let 𝑓 be a scalar function of 𝑥, 𝑦, 𝑧 with continuous partial derivatives: Then the gradient of 𝑓 is the vector-valued function: Example 3. Given 𝑓 𝑥, 𝑦, 𝑧 = 𝑥3 + 2𝑥𝑦2 + 3𝑦𝑧2 , find ∇𝑓. Solution. Determine the partial derivatives: 𝑓𝑥(𝑥, 𝑦, 𝑧) and𝑓𝑦(𝑥, 𝑦, 𝑧) 𝑓𝑧(𝑥, 𝑦, 𝑧) ∇𝑓 = 𝑓𝑥 𝑥, 𝑦, 𝑧 𝐢 + 𝑓𝑦 𝑥, 𝑦, 𝑧 𝐣 + 𝑓𝑧 𝑥, 𝑦, 𝑧 𝐤 𝑓𝑥 𝑥, 𝑦, 𝑧 = 3𝑥2 + 2𝑦2 𝑓𝑦 𝑥, 𝑦, 𝑧 = 4𝑥𝑦 + 3𝑧2 𝑓𝑧 𝑥, 𝑦, 𝑧 = 6𝑦𝑧 ∇𝑓 = 3𝑥2 + 2𝑦2 𝐢 + 4𝑥𝑦 + 3𝑧2 𝐣 + 6𝑦𝑧 𝐤
  • 12. Lehman College, Department of Mathematics Divergence, Gradient and Curl (2 of 5) Let 𝐅(𝑥, 𝑦, 𝑧) be a vector field given by: for functions 𝑀, 𝑁 and 𝑃 of 𝑥, 𝑦, 𝑧 with continuous partial derivatives in an open sphere. Then the divergence of 𝐅 is the scalar function: Example 3. Given 𝐅 𝑥, 𝑦, 𝑧 = 𝑥3 𝑦2 𝑧 𝐢 + 𝑥2 𝑧 𝐣 + 𝑥2 𝑦 𝐤, find the divergence of 𝐅 at the point 2, 1, −1 . Solution. First determine the functions 𝑀, 𝑁 and 𝑃. 𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤 div 𝐅 𝑥, 𝑦, 𝑧 = 𝜕𝑀 𝜕𝑥 + 𝜕𝑁 𝜕𝑦 + 𝜕𝑃 𝜕𝑧
  • 13. Lehman College, Department of Mathematics Divergence, Gradient and Curl (3 of 5) Solution. Since 𝐅 𝑥, 𝑦, 𝑧 = 𝑥3 𝑦2 𝑧 𝐢 + 𝑥2 𝑦 𝐣 + 𝑥𝑧2 𝐤, then From the definition of divergence: Therefore, we find the partial derivatives: At the point 2, 1, −1 : div 𝐅 𝑥, 𝑦, 𝑧 = 𝜕𝑀 𝜕𝑥 + 𝜕𝑁 𝜕𝑦 + 𝜕𝑃 𝜕𝑧 𝑀 𝑥, 𝑦, 𝑧 = 𝑥3 𝑦2 𝑧, 𝑁 𝑥, 𝑦, 𝑧 = 𝑥2 𝑦, 𝑃 𝑥, 𝑦, 𝑧 = 𝑥𝑧2 div 𝐅 𝑥, 𝑦, 𝑧 = 𝜕 𝜕𝑥 𝑥3 𝑦2 𝑧 + 𝜕 𝜕𝑦 𝑥2 𝑦 + 𝜕 𝜕𝑧 𝑥𝑧2 = 3𝑥2 𝑦2 𝑧 + 𝑥2 + 2𝑥𝑧 div 𝐅 2, 1, −1 = 3 2 2 1 2 −1 + 2 2 + 2 2 −1 =
  • 14. Lehman College, Department of Mathematics Divergence, Gradient and Curl (4 of 5) We see that if 𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤, then So we can write divergence as a symbolic dot product: Where ∇ is the vector operator: div 𝐅 𝑥, 𝑦, 𝑧 = 𝜕𝑀 𝜕𝑥 + 𝜕𝑁 𝜕𝑦 + 𝜕𝑃 𝜕𝑧 div 𝐅 𝑥, 𝑦, 𝑧 = ∇ ⋅ 𝐅 ∇ = 𝜕 𝜕𝑥 , 𝜕 𝜕𝑦 , 𝜕 𝜕𝑧
  • 15. Lehman College, Department of Mathematics Divergence, Gradient and Curl (5 of 5) Let 𝐅(𝑥, 𝑦, 𝑧) be a vector field given by: for functions 𝑀, 𝑁 and 𝑃 of 𝑥, 𝑦, 𝑧 with continuous partial derivatives in an open sphere. Then the curl of 𝐅 is the vector-valued function: From the definition of ∇, we see that (symbolically): 𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤 curl 𝐅 = 𝐢 𝐣 𝐤 𝜕 𝜕𝑥 𝜕 𝜕𝑦 𝜕 𝜕𝑧 𝑀 𝑁 𝑃 curl 𝐅 = ∇ × 𝐅
  • 16. Lehman College, Department of Mathematics Question 1 (1 of 7) Consider the vector field (b) Prove that 𝐅 is conservative and find a potential function for 𝐅. (c) Using the Fundamental Theorem of Line Integrals, evaluate the line integral: where 𝐶 is any smooth curve from (1, 2) to (3, 4). Solution. A vector field 𝐅 is conservative if and only if: 𝐅(𝑥, 𝑦) = 1 1 + 𝑥𝑦 𝑦 𝐢 + 𝑥 𝐣 𝐶 𝑦 𝑑𝑥 + 𝑥 𝑑𝑦 1 + 𝑥𝑦 curl 𝐅 = 0
  • 17. Lehman College, Department of Mathematics Question 1 (2 of 7) Solution (cont’d). To find curl 𝐅. If 𝐅 is of the form: for functions 𝑀, 𝑁 and 𝑃 of 𝑥, 𝑦, 𝑧 with continuous partial derivatives in an open sphere. Then: If 𝑀 and 𝑁 are not dependent on 𝑧 and 𝑃 = 0, then the above condition is equivalent to: curl 𝐅 = 𝐢 𝐣 𝐤 𝜕 𝜕𝑥 𝜕 𝜕𝑦 𝜕 𝜕𝑧 𝑀 𝑁 𝑃 𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤 𝜕𝑁 𝜕𝑥 = 𝜕𝑀 𝜕𝑦
  • 18. Lehman College, Department of Mathematics Question 1 (3 of 7) Solution (cont’d). For: the functions 𝑀, 𝑁 are given by: Therefore: 𝑀 = 𝑦 1 + 𝑥𝑦 𝐅(𝑥, 𝑦) = 1 1 + 𝑥𝑦 𝑦 𝐢 + 𝑥 𝐣 𝜕𝑁 𝜕𝑥 = 𝑁 = 𝑥 1 + 𝑥𝑦 and 𝜕 𝜕𝑥 𝑥 1 + 𝑥𝑦 − 1 2 = 1 ⋅ 1 + 𝑥𝑦 − 1 2 − 1 2 𝑥𝑦 1 + 𝑥𝑦 − 3 2 2 + 𝑥𝑦 2 1 + 𝑥𝑦 3 2 = 2 1 + 𝑥𝑦 − 𝑥𝑦 2 1 + 𝑥𝑦 3 2 =
  • 19. Lehman College, Department of Mathematics Question 1 (4 of 7) Solution (cont’d). Similarly: It follows that 𝐅 is a conservative vector field. (c) To find the potential function 𝑓, we know that: Therefore: and: 𝜕𝑀 𝜕𝑦 = 2 + 𝑥𝑦 2 1 + 𝑥𝑦 3 2 𝐅 = ∇𝑓 = 𝑓𝑥 𝐢 + 𝑓𝑦 𝐣 𝑓𝑥 𝑥, 𝑦 = 𝑀 𝑥, 𝑦 = 𝑦 1 + 𝑥𝑦 𝑓𝑦 𝑥, 𝑦 = 𝑁 𝑥, 𝑦 = 𝑥 1 + 𝑥𝑦
  • 20. Lehman College, Department of Mathematics Question 1 (5 of 7) Solution (cont’d). It follows that: Let 𝑢 𝑥, 𝑦 = 1 + 𝑥𝑦, so 𝜕𝑢 𝜕𝑥 = 𝑦, and: where 𝐾 is a constant. 𝑓(𝑥, 𝑦) = 2 1 + 𝑥𝑦 + 𝐾 𝑦 1 + 𝑥𝑦 𝑑𝑥 = 𝑦 1 + 𝑥𝑦 − 1 2 𝑑𝑥 𝑓(𝑥, 𝑦) = 𝑓𝑥 𝑥, 𝑦 𝑑𝑥 =
  • 21. Lehman College, Department of Mathematics Question 1 (6 of 7) Fundamental Theorem of Line Integrals: Let 𝐶 be a piecewise smooth curve lying in an open region 𝑅 and given by: If 𝐅 𝑥, 𝑦 = 𝑀 𝐢 + 𝑁 𝐣 is conservative in 𝑅, with 𝑀 and 𝑁 continuous in 𝑅, then: where 𝑓 is a potential function of 𝐅 in 𝑅: 𝐫 𝑡 = 𝑥 𝑡 𝐢 + 𝑦 𝑡 𝐣 for 𝑎 ≤ 𝑡 ≤ 𝑏 𝐶 𝐅 ⋅ 𝑑𝐫 = 𝐶 𝛻𝑓 ⋅ 𝑑𝐫 = 𝑓 𝑥 𝑏 , 𝑦 𝑏 − 𝑓 𝑥 𝑎 , 𝑦 𝑎 𝐅 = 𝛻𝑓
  • 22. Lehman College, Department of Mathematics Question 1 (7 of 7) (c) Using the Fundamental Theorem of Line Integrals, evaluate the line integral: where 𝐶 is any smooth curve from (1, 2) to (3, 4). We see that the integrand represents 𝛻𝑓 ⋅ 𝑑𝐫 for: By the Fundamental Theorem of Line Integrals: 𝐶 𝑦 𝑑𝑥 + 𝑥 𝑑𝑦 1 + 𝑥𝑦 2 1 + 𝑥𝑦𝑓(𝑥, 𝑦) = 𝐶 𝑦 𝑑𝑥 + 𝑥 𝑑𝑦 1 + 𝑥𝑦 = 𝑓 3, 4 − 𝑓 1, 2 = 2 13 − 3
  • 23. Lehman College, Department of Mathematics Fund. Theorem of Line Integrals (1 of 6) Example 3 (Lar., p. 1085). Using the Fundamental Theorem of Line Integrals, evaluate the line integral: where 𝐶 is a smooth curve from (1, 1, 0) to (0, 2, 3). Solution. Note that the line integral represents: for the vector field 𝐅(𝑥, 𝑦, 𝑧) given by: We will first establish that 𝐅 is conservative and find a potential function 𝑓 for 𝐅. 𝐶 2𝑥𝑦 𝑑𝑥 + 𝑥2 + 𝑧2 𝑑𝑦 + 2𝑦𝑧 𝑑𝑧 𝐶 𝐅 ⋅ 𝑑𝐫 𝐅 𝑥, 𝑦, 𝑧 = 2𝑥𝑦 𝐢 + 𝑥2 + 𝑧2 𝐣 + 2𝑦z 𝐤
  • 24. Lehman College, Department of Mathematics Fund. Theorem of Line Integrals (2 of 6) Solution. 𝐅 is conservative if and only if: where: with 𝑀 = 2𝑥𝑦, 𝑁 = 𝑥2 + 𝑧2 , and 𝑃 = 2𝑦𝑧, since: Now, curl 𝐅 is given by: so, we need to evaluate the partial derivatives. 𝐅 𝑥, 𝑦, 𝑧 = 2𝑥𝑦 𝐢 + 𝑥2 + 𝑧2 𝐣 + 2𝑦z 𝐤 curl 𝐅 = 0 curl 𝐅 = 𝐢 𝐣 𝐤 𝜕 𝜕𝑥 𝜕 𝜕𝑦 𝜕 𝜕𝑧 𝑀 𝑁 𝑃 curl 𝐅 = 𝜕𝑃 𝜕𝑦 − 𝜕𝑁 𝜕𝑧 𝐢 − 𝜕𝑃 𝜕𝑥 − 𝜕𝑀 𝜕𝑧 𝐣 + 𝜕𝑁 𝜕𝑥 − 𝜕𝑀 𝜕𝑦 𝐤
  • 25. Lehman College, Department of Mathematics Fund. Theorem of Line Integrals (3 of 6) Solution (cont’d). curl 𝐅 is given by: where 𝑀 = 2𝑥𝑦, 𝑁 = 𝑥2 + 𝑧2 , and 𝑃 = 2𝑦𝑧. curl 𝐅 = 𝜕𝑃 𝜕𝑦 − 𝜕𝑁 𝜕𝑧 𝐢 − 𝜕𝑃 𝜕𝑥 − 𝜕𝑀 𝜕𝑧 𝐣 + 𝜕𝑁 𝜕𝑥 − 𝜕𝑀 𝜕𝑦 𝐤 𝜕𝑃 𝜕𝑦 = 𝜕 𝜕𝑦 2𝑦𝑧 = 2𝑧 𝜕𝑁 𝜕𝑧 = 𝜕 𝜕𝑧 𝑥2 + 𝑧2 = 2𝑧 𝜕𝑃 𝜕𝑥 = 𝜕 𝜕𝑥 2𝑦𝑧 = 0 𝜕𝑀 𝜕𝑧 = 𝜕 𝜕𝑧 2𝑥𝑦 = 0 𝜕𝑁 𝜕𝑥 = 𝜕 𝜕𝑥 𝑥2 + 𝑧2 = 2𝑥 𝜕𝑀 𝜕𝑦 = 𝜕 𝜕𝑦 2𝑥𝑦 = 2𝑥
  • 26. Lehman College, Department of Mathematics Fund. Theorem of Line Integrals (4 of 6) Solution (cont’d). From the previous slide, we note: It follows that: Since curl 𝐅 is the zero vector, then 𝐅 is a conservative vector field. Hence, 𝐅 has a potential function 𝑓, such that: It follows that: curl 𝐅 = 0 𝜕𝑃 𝜕𝑦 = 𝜕𝑁 𝜕𝑧 = 2𝑧 𝜕𝑃 𝜕𝑥 = 𝜕𝑀 𝜕𝑧 = 0 𝜕𝑁 𝜕𝑥 = 𝜕𝑀 𝜕𝑦 = 2𝑥 𝐅 = ∇𝑓 𝑓𝑥 𝑥, 𝑦, 𝑧 = 𝑀 𝑥, 𝑦, 𝑧 = 2𝑥𝑦 𝑓𝑦 𝑥, 𝑦, 𝑧 = 𝑁 𝑥, 𝑦, 𝑧 = 𝑥2 + 𝑧2 𝑓𝑧 𝑥, 𝑦, 𝑧 = 𝑃 𝑥, 𝑦, 𝑧 = 2𝑦𝑧
  • 27. Lehman College, Department of Mathematics Fund. Theorem of Line Integrals (5 of 6) Solution (cont’d). Therefore: It follows that: Back to evaluating the line integral: 𝑓(𝑥, 𝑦, 𝑧) = 𝑓𝑥 𝑥, 𝑦, 𝑧 𝑑𝑥 = 2𝑥𝑦 𝑑𝑥 = 𝑥2 𝑦 + 𝐾1(𝑦, 𝑧) 𝑓(𝑥, 𝑦, 𝑧) = 𝑓𝑦 𝑥, 𝑦, 𝑧 𝑑𝑦 = 𝑥2 + 𝑧2 𝑑𝑦 = 𝑥2 𝑦 + 𝑦𝑧2 + 𝐾2(𝑥, 𝑧) 𝑓(𝑥, 𝑦, 𝑧) = 𝑓𝑧 𝑥, 𝑦, 𝑧 𝑑𝑧 = 2𝑦𝑧 𝑑𝑧 = 𝑦𝑧2 + 𝐾3(𝑥, 𝑦) 𝑓(𝑥, 𝑦, 𝑧) = 𝑥2 𝑦 + 𝑦𝑧2 + 𝐾 𝐶 2𝑥𝑦 𝑑𝑥 + 𝑥2 + 𝑧2 𝑑𝑦 + 2𝑦𝑧 𝑑𝑧
  • 28. Lehman College, Department of Mathematics Fund. Theorem of Line Integrals (6 of 6) Solution (cont’d). Recall that 𝐶 is a smooth curve from (1, 1, 0) to (0, 2, 3), and that the potential function is: By the Fundamental Theorem of Line Integrals: = 𝑓 0, 2, 3 − 𝑓 1, 1, 0 𝐶 2𝑥𝑦 𝑑𝑥 + 𝑥2 + 𝑧2 𝑑𝑦 + 2𝑦𝑧 𝑑𝑧 𝑓(𝑥, 𝑦, 𝑧) = 𝑥2 𝑦 + 𝑦𝑧2 + 𝐾 = 18 − 1 = 17
  • 29. Lehman College, Department of Mathematics Question 2 (1 of 3) Consider the vector field (a) Find curl 𝐅 and div 𝐅. (b) Prove that 𝐅 is not conservative. Solution. (a) curl 𝐅 is given by: where 𝑀 = 𝑥2 , 𝑁 = 𝑥𝑦2 , 𝑃 = 𝑥2 𝑧 are functions of 𝑥, 𝑦, 𝑧. 𝐅 𝑥, 𝑦, 𝑧 = 𝑥2 𝐢 + 𝑥𝑦2 𝐣 + 𝑥2 𝑧 𝐤 curl 𝐅 = 𝐢 𝐣 𝐤 𝜕 𝜕𝑥 𝜕 𝜕𝑦 𝜕 𝜕𝑧 𝑀 𝑁 𝑃
  • 30. Lehman College, Department of Mathematics Question 2 (2 of 3) Solution (cont’d). curl 𝐅 is given by: where 𝑀 = 𝑥2 , 𝑁 = 𝑥𝑦2 , 𝑃 = 𝑥2 𝑧 are functions of 𝑥, 𝑦, 𝑧. curl 𝐅 = 𝜕𝑃 𝜕𝑦 − 𝜕𝑁 𝜕𝑧 𝐢 − 𝜕𝑃 𝜕𝑥 − 𝜕𝑀 𝜕𝑧 𝐣 + 𝜕𝑁 𝜕𝑥 − 𝜕𝑀 𝜕𝑦 𝐤 𝜕𝑃 𝜕𝑦 = 𝜕 𝜕𝑦 𝑥2 𝑧 = 0 𝜕𝑁 𝜕𝑧 = 𝜕 𝜕𝑧 𝑥𝑦2 = 0 𝜕𝑃 𝜕𝑥 = 𝜕 𝜕𝑥 𝑥2 𝑧 = 2𝑥𝑧 𝜕𝑀 𝜕𝑧 = 𝜕 𝜕𝑧 𝑥2 = 0 𝜕𝑁 𝜕𝑥 = 𝜕 𝜕𝑥 𝑥𝑦2 = 𝑦2 𝜕𝑀 𝜕𝑦 = 𝜕 𝜕𝑦 𝑥2 = 0
  • 31. Lehman College, Department of Mathematics Question 2 (3 of 3) Solution (cont’d). From the previous slide, curl 𝐅 is: To find div 𝐅, we know that it is defined as: (b) Since curl 𝐅 is not the zero vector, then 𝐅 is not a conservative vector field. curl 𝐅 = −2𝑥𝑧 𝐣 + 𝑦2 𝐤 div 𝐅 = ∇ ⋅ 𝐅 = 𝜕 𝜕𝑥 , 𝜕 𝜕𝑦 , 𝜕 𝜕𝑧 ⋅ 𝑀, 𝑁, 𝑃 = 𝜕𝑀 𝜕𝑥 + 𝜕𝑁 𝜕𝑦 + 𝜕𝑃 𝜕𝑧 = 𝜕 𝜕𝑥 𝑥2 + 𝜕 𝜕𝑦 𝑥𝑦2 + 𝜕 𝜕𝑧 𝑥2 𝑧 = 2𝑥 + 2𝑥𝑦 + 𝑥2 = 𝑥 1 + 𝑥 + 2𝑦
  • 32. Lehman College, Department of Mathematics Question 3 (1 of 2) Find the work done by the force field: on a particle moving along the path 𝐶 given by: Solution. The work 𝑊 done by the force is given by: where: 𝑊 = 𝐶 𝐅 ⋅ 𝑑𝐫 = 𝐅 𝑥, 𝑦 = 𝑥 𝐢 + 𝑦 𝐣 − 5z 𝐤 𝐫 𝑡 = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 + 𝑡 𝐤 0 2𝜋 𝐅(𝑟 𝑡 ) ⋅ 𝐫′ t 𝑑𝑡 𝐫 𝑡 = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 + 𝑡 𝐤 𝐫′ 𝑡 = −2 sin 𝑡 𝐢 + 2 cos 𝑡 𝐣 + 𝐤 𝐅 𝑟(𝑡) = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 − 5t 𝐤
  • 33. Lehman College, Department of Mathematics Question 3 (2 of 2) Solution. The work 𝑊 done by the force is given by: where: So: 𝑊 = 0 2𝜋 𝐅(𝑟 𝑡 ) ⋅ 𝐫′ t 𝑑𝑡 𝐫 𝑡 = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 + 𝑡 𝐤 𝐫′ 𝑡 = −2 sin 𝑡 𝐢 + 2 cos 𝑡 𝐣 + 𝐤 𝐅 𝑟(𝑡) = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 − 5t 𝐤 𝑊 = 0 2𝜋 −4 sin 𝑡 cos 𝑡 + 4 sin 𝑡 cos 𝑡 − 5𝑡 𝑑𝑡 = 0 2𝜋 −5𝑡 𝑑𝑡 = −5 𝑡2 2 0 2𝜋 = −10𝜋2
  • 34. Lehman College, Department of Mathematics Question 4 (1 of 3) Use Green’s theorem to evaluate the integral: where 𝐶 is the boundary, oriented clockwise of the region lying inside the semicircle 𝑦 = 25 − 𝑥2 and outside the semicircle 𝑦 = 9 − 𝑥2. Solution. By Green’s Theorem: Here 𝑀(𝑥, 𝑦) = 𝑦 − 𝑥 and 𝑁(𝑥, 𝑦) = 2𝑥 − 𝑦. The region 𝐷 is bounded by the piecewise-smooth curve 𝐶 𝐶 𝑦 − 𝑥 𝑑𝑥 + 2𝑥 − 𝑦 𝑑𝑦 𝐶 𝑀𝑑𝑥 + 𝑁𝑑𝑦 = 𝐷 𝜕𝑁 𝜕𝑥 − 𝜕𝑀 𝜕𝑦 𝑑𝐴
  • 35. Lehman College, Department of Mathematics Question 4 (2 of 3)
  • 36. Lehman College, Department of Mathematics Question 4 (3 of 3) Solution (cont’d). For the functions 𝑀(𝑥, 𝑦) = 𝑦 − 𝑥, and 𝑁(𝑥, 𝑦) = 2𝑥 − 𝑦, we have: It follows that: The latter is the area of the region: 𝐷 2 − 1 𝑑𝐴 𝜕𝑁 𝜕𝑥 = 2 and 𝜕𝑀 𝜕𝑦 = 1 𝐶 𝑦 − 𝑥 𝑑𝑥 + 2𝑥 − 𝑦 𝑑𝑦 = = 𝐷 𝑑𝐴 1 2 𝜋 25 − 9 = 8𝜋