Chapter 16 – Vector Calculus 16.5 Curl and Divergence 1 Objectives: Understand the operations of...
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Transcript of Chapter 16 – Vector Calculus 16.5 Curl and Divergence 1 Objectives: Understand the operations of...
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Chapter 16 – Vector Calculus16.5 Curl and Divergence
16.5 Curl and Divergence
Objectives: Understand the
operations of curl and divergence
Use curl and divergence to obtain vector forms of Green’s Theorem
16.5 Curl and Divergence 2
Vector CalculusHere, we define two operations that:
◦ Can be performed on vector fields.◦ Play a basic role in the applications of
vector calculus to fluid flow, electricity, and magnetism.
Each operation resembles differentiation.
However, one produces a vector field whereas the other produces a scalar field.
16.5 Curl and Divergence 3
Definition - CurlSuppose F = P i + Q j + R k is a vector field
on 3 and the partial derivatives of P, Q, and R all exist, then the curl of F is the vector field defined by:
curl R Q P R Q P
y z z x x y
F i j k
16.5 Curl and Divergence 4
CurlAs a memory aid, let’s rewrite
Equation 1 using operator notation.
◦We introduce the vector differential operator (“del”) as:
x y z
i j k
16.5 Curl and Divergence 5
Curl
curl
x y z
P Q R
R Q P R Q P
y z z x x y
i j k
F
i j k
F
16.5 Curl and Divergence 6
CurlThus, the easiest way to
remember Definition 1 is by means of the symbolic expression
curl F F
16.5 Curl and Divergence 7
Theorem 3If f is a function of three variables
that has continuous second-order partial derivatives, then
curl f 0
16.5 Curl and Divergence 8
Conservative Vector FieldA conservative vector field is one for which
So, Theorem 3 can be rephrased as:
If F is conservative, then curl F = 0.◦ This gives us a way of verifying that a
vector field is not conservative.
fF
16.5 Curl and Divergence 9
Theorem 4 If F is a vector field defined on all of 3
whose component functions have continuous partial derivatives and curl F = 0, then F is a conservative vector field.
NOTE: Theorem 4 is the 3-D version of Theorem 6 in Section 16.3
NOTE: This theorem says that it is true if the domain is simply-connected—that is, “has no hole.”
16.5 Curl and Divergence 10
CurlThe reason for the name curl is that the curl
vector is associated with rotations. ◦ One connection is explained in Exercise 37.
◦ Another occurs when F represents the
velocity field in fluid flow (Example 3 in Section 16.1).
16.5 Curl and Divergence 11
CurlParticles near (x, y, z) in the fluid tend to
rotate about the axis that points in the direction of curl F(x, y, z).
◦ The length of this curl vector is a measure of how quickly the particles move around the axis.
16.5 Curl and Divergence 12
Irrotational CurlIf curl F = 0 at a point P, the fluid
is free from rotations at P.
F is called irrotational at P. ◦That is, there is no whirlpool or eddy
at P.
16.5 Curl and Divergence 13
If curl F = 0, a tiny paddle wheel moves with the fluid but doesn’t rotate about its axis.
If curl F ≠ 0, the paddle wheel rotates about its axis.
◦ We give a more detailed explanation in Section 16.8 as a consequence of Stokes’ Theorem.
16.5 Curl and Divergence 14
Example 1 – pg. 1068 # 21Show that any vector field of the
form
where f, g, and h are differentiable functions, is irrotational.
( , , ) ( ) ( ) ( )x y z f x g y h z F i j k
16.5 Curl and Divergence 15
Definition - Divergence If F = P i + Q j + R k is a vector field on 3
and ∂P/∂x, ∂Q/∂y, and ∂R/∂z exist, the divergence of F is the function of three variables defined by:
div P Q R
x y z
F
16.5 Curl and Divergence 16
DivergenceIn terms of the gradient operator
the divergence of F can be written symbolically as the dot product of del and F:
x y z
i j k
div F F
16.5 Curl and Divergence 17
Curl versus DivergenceObserve that:
◦ Curl F is a vector field.
◦ Div F is a scalar field.
16.5 Curl and Divergence 18
Theorem 11If F = P i + Q j + R k is a vector field
on 3 and P, Q, and R have continuous second-order partial derivatives, then
div curl F = 0
16.5 Curl and Divergence 19
DivergenceAgain, the reason for the name divergence
can be understood in the context of fluid flow.
◦ If F(x, y, z) is the velocity of a fluid (or gas), div F(x, y, z) represents the net rate of change (with respect to time) of the mass of fluid (or gas) flowing from the point (x, y, z) per unit volume.
16.5 Curl and Divergence 20
Incompressible Divergence In other words, div F(x, y, z) measures the
tendency of the fluid to diverge from the point (x, y, z).
If div F = 0, F is said to be incompressible.
16.5 Curl and Divergence 21
Example 2 – pg. 1068 # 22Show that any vector of the form
is incompressible.
( , , ) ( , ) ( , ) ( , )x y z f y z g x z h x y F i j k
16.5 Curl and Divergence 22
Example 3 – pg. 1068Find the following for the given
vector field:a) The curlb) The divergence
2 2 22. ( , , )
8. ( , , ) , ,x xy xyz
x y z x yz xy z xyz
x y z e e e
F i j k
F
16.5 Curl and Divergence 23
Gradient Vector FieldsAnother differential operator occurs when
we compute the divergence of a gradient vector field f.
◦ If f is a function of three variables, we have:
2 2 2
2 2 2
div f f
f f f
x y z
16.5 Curl and Divergence 24
Laplace OperatorThis expression occurs so often
that we abbreviate it as 2f.
The operator is called the Laplace operator due to its relation to Laplace’s equation
2
2 2 22
2 2 20
f f ff
x y z
16.5 Curl and Divergence 25
Green’s Theorem – Vector Form
Hence, we can now rewrite the equation in Green’s Theorem in the vector form using curl as equation 12:
curl C D
d dA F r F k
16.5 Curl and Divergence 26
Green’s Theorem – Vector Form
Equation 12 expresses the line integral of the tangential component of F along C as the double integral of the vertical component of curl F over the region D enclosed by C.
◦ We now write a similar formula involving the normal component of F and the divergence. (see book for proof)
16.5 Curl and Divergence 27
Green’s Theorem – Vector Form
This version says that the line integral of the normal component of F along C is equal to the double integral of the divergence of F over the region D enclosed by C.
div ,C D
ds x y dA F n F
16.5 Curl and Divergence 28
Example 4 – pg. 1068Determine whether or not the vector field is
conservative. If it is conservative, find a function f such that F = f.
2 2 2 2 214. ( , , )
16. ( , , ) z z
x y z xyz x yz x y z
x y z e xe
F i j k
F i j k