Chapter 45
By the end of this section, you should be able to answer the following questions:
If $(x, y, z)$ is a right handed Cartesian coordinate system and $\v(x, y, z) = v_1~\i+v_2~\j +v_3~\k$ is a differentiable vector field, then define
$\displaystyle \curl (\v) $ | $\displaystyle = \nabla \times \v $ $\displaystyle = \left| \begin{array}{ccc} \i & \j & \k \\ \dfrac{\partial}{\partial x} &\dfrac{\partial}{\partial y} &\dfrac{\partial}{\partial z} \\ v_1 & v_2 & v_3 \end{array} \right| $ |
$\displaystyle = \left(\dfrac{\partial v_3}{\partial y} - \dfrac{\partial v_2}{\partial z} \right)\i $ $\displaystyle - \left( \dfrac{\partial v_3}{\partial x}- \dfrac{\partial v_1}{\partial z} \right)\j $ $\displaystyle + \left(\dfrac{\partial v_2}{\partial x} - \dfrac{\partial v_1}{\partial y} \right)\k $ | |
$\displaystyle = \left(\dfrac{\partial v_3}{\partial y} - \dfrac{\partial v_2}{\partial z} \right)\i $ $\displaystyle + \left( \dfrac{\partial v_1}{\partial z}- \dfrac{\partial v_3}{\partial x} \right)\j $ $\displaystyle + \left(\dfrac{\partial v_2}{\partial x} - \dfrac{\partial v_1}{\partial y} \right)\k $ |
Note that $\curl(\v)$ is a vector field.
$\nabla \times \v$ | $\displaystyle = \left| \begin{array}{ccc} \i & \j & \k \\ \dfrac{\partial}{\partial x} &\dfrac{\partial}{\partial y} &\dfrac{\partial}{\partial z} \\ yz^2 & zx^2 & xy^2 \end{array} \right| $ |
$\displaystyle = \left| \begin{array}{cc} \dfrac{\partial}{\partial y} &\dfrac{\partial}{\partial z}\\ zx^2 & xy^2 \end{array} \right| \i$ $- \left| \begin{array}{cc} \dfrac{\partial}{\partial x} &\dfrac{\partial}{\partial z}\\ yz^2 & xy^2 \end{array} \right| \j $ $+ \left| \begin{array}{cc} \dfrac{\partial}{\partial x} &\dfrac{\partial}{\partial y}\\ yz^2 & zx^2 \end{array} \right| \k $ |
$\nabla \times \v$ | $\displaystyle = \left| \begin{array}{cc} \dfrac{\partial}{\partial y} &\dfrac{\partial}{\partial z}\\ zx^2 & xy^2 \end{array} \right| \i - \left| \begin{array}{cc} \dfrac{\partial}{\partial x} &\dfrac{\partial}{\partial z}\\ yz^2 & xy^2 \end{array} \right| \j + \left| \begin{array}{cc} \dfrac{\partial}{\partial x} &\dfrac{\partial}{\partial y}\\ yz^2 & zx^2 \end{array} \right| \k $ |
$\displaystyle = \left(\dfrac{\partial}{\partial y}\left(xy^2\right) - \dfrac{\partial }{\partial z} \left(zx^2\right) \right)\i $ $- \left(\dfrac{\partial}{\partial x}\left(xy^2\right) -\dfrac{\partial }{\partial z}\left(yz^2\right) \right)\j$ | |
$\displaystyle \quad\qquad + \left(\dfrac{\partial }{\partial x}\left(zx^2\right) - \dfrac{\partial}{\partial y} \left(yz^2\right) \right)\k $ | |
$\displaystyle = \left( 2xy - x^2 \right)\i+ \left(2yz-y^2 \right)\j + \left(2xz-z^2 \right)\k.$ |
For the rotation of a rigid body about a fixed axis with angular velocity $\w,$ the velocity at a point $P,$ whose position vector is $\r,$ is given by $\v = \w \times \r.$
For the rotation of a rigid body about a fixed axis with angular velocity $\w,$ the velocity at a point $P,$ whose position vector is $\r,$ is given by $\v = \w \times \r.$
For the rotation of a rigid body about a fixed axis with angular velocity $\w,$ the velocity at a point $P,$ whose position vector is $\r,$ is given by $\v = \w \times \r.$
If we choose the axis of rotation to be the $z$-axis, then $\w = \omega \k$. Calculate $\curl(\v)$:
We have that $\r = x~\i + y~\j + z~\k$. Then
$\v$ | $= \w \times \r$ $\displaystyle = \left| \begin{array}{ccc} \i & \j & \k \\ 0 & 0 & \omega \\ x & y & z \end{array} \right| $ |
$= -\omega \left( y~\i - x~\j \right)$ |
Then $\v = -\omega \left( y~\i - x~\j \right)$
On the other hand, we have that
$\curl \v$ | $= \nabla \times \v$ $\displaystyle = \left| \begin{array}{ccc} \i & \j & \k \\ \displaystyle \frac{\partial }{\partial x} & \displaystyle \frac{\partial }{\partial y} & \displaystyle \frac{\partial }{\partial z}\\ -\omega y & \omega x & 0 \end{array} \right| $ |
$=(0) ~\i - (0)~\j + (\omega+\omega)~\k$ | |
$=2\omega ~\k$ |
This implies that the $\curl \v $ is proportional to the angular vector $\w$.
This implies that the $\curl \v $ is proportional to the angular vector $\w$.
$\curl \v \neq \mathbf 0$ implies that a paddle wheel in a fluid with velocity field $\v$ will rotate around its axis.
In general, $\curl \v$ characterises the rotation of a vector field.
It turns out that the curl of a vector field is exactly what we need to generalise the result mentioned in Chapter 36.3 to three dimensions.
Show that if $\F$ is a conservative vector field, then $\curl \F = \mathbf 0$.
Proof: If $\F$ is conservative, then there exists $f$ such that \[ \F = \nabla f. \] That is \[ \F = \frac{\partial f}{\partial x}~\i+ \frac{\partial f}{\partial y}~\j+ \frac{\partial f}{\partial z}~\k. \]
Proof: Since $ \F = \frac{\partial f}{\partial x}~\i+ \frac{\partial f}{\partial y}~\j+ \frac{\partial f}{\partial z}~\k $, then
$\curl \F$ | $\displaystyle = \left| \begin{array}{ccc} \i & \j & \k \\ \dfrac{\partial}{\partial x} &\dfrac{\partial}{\partial y} &\dfrac{\partial}{\partial z} \\ \dfrac{\partial f}{\partial x} & \dfrac{\partial f}{\partial y} & \dfrac{\partial f}{\partial z} \end{array} \right| $ |
$\displaystyle = \left(\frac{\partial ^2 f}{\partial y \partial z} - \frac{\partial ^2 f}{\partial z \partial y} \right)\i \, $ $\displaystyle + \left(\frac{\partial ^2 f}{\partial z \partial x} - \frac{\partial ^2 f}{\partial x \partial z} \right)\j \,$ | |
$\displaystyle+ \left(\frac{\partial ^2 f}{\partial x \partial y} - \frac{\partial ^2 f}{\partial y \partial x} \right)\k$ $ = \mathbf 0.$ |
Proof: Since $ \F = \frac{\partial f}{\partial x}~\i+ \frac{\partial f}{\partial y}~\j+ \frac{\partial f}{\partial z}~\k $, then
$\curl \F$ | $\displaystyle = \left| \begin{array}{ccc} \i & \j & \k \\ \dfrac{\partial}{\partial x} &\dfrac{\partial}{\partial y} &\dfrac{\partial}{\partial z} \\ \dfrac{\partial f}{\partial x} & \dfrac{\partial f}{\partial y} & \dfrac{\partial f}{\partial z} \end{array} \right| =\mathbf 0.$ |
In other words, $\nabla \times \F = \mathbf 0.$
Indeed, the diagram on Chapter 36 that outlines our logic can be extended directly to the three dimensional case. The only difference is the condition which will serve as our test for conservative fields, namely $\curl \F = \mathbf 0$.
The proofs of the links in the diagram for the three dimensional case below are very similar to those used in the two dimensional case. The only detail that is significantly different is showing that \[ \text{if }\,\curl \F = \mathbf 0 \,\text{ then }\, \oint_C\F \pd d\r = 0. \]
The proofs of the links in the diagram for the three dimensional case below are very similar to those used in the two dimensional case. The only detail that is significantly different is showing that \[ \text{if }\,\curl \F = \mathbf 0 \,\text{ then }\, \oint_C\F \pd d\r = 0. \]
Note also that $\F$ must be a vector field defined everywhere in $\R^3$ with continuous partial derivatives.
Note also that $\F$ must be a vector field defined everywhere in $\R^3$ with continuous partial derivatives.
The proof of that part of the diagram requires a generalisation of Green's theorem known as Stokes' theorem, which we will investigate in the next section.
The main consequence of this diagram is that we have the following test for a conservative vector field in three dimensions:
A vector field $\F$ is conservative if and only if $\curl \F = \mathbf 0$.
Recall that $\F$ is conservative if and only if $\curl \F=\mathbf 0$. Then we compute
$\curl \F$ | $\displaystyle = \;\left| \begin{array}{ccc} \i & \j & \k \\ \dfrac{\partial}{\partial x} &\dfrac{\partial}{\partial y} &\dfrac{\partial}{\partial z} \\ 1+yz & 1+ xz & xy \end{array} \right| $ |
$\displaystyle = \; \left( x - x \right)\i \, $ $\displaystyle + \left(y -y \right)\j \,$ $\displaystyle +\left(z - z \right)\k$ | |
$=\mathbf 0.$ |
Therefore $\F$ is conservative.