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[2020-02-06 Thu 17:41]
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Session 90: Curl in 3D | Part C: Line Integrals and Stokes’ Theorem | 4. Triple Integrals and Surface Integrals in 3-Space | Multivariable Calculus | Mathematics | MIT OpenCourseWare

1 Chalkboard

Figure 1: Curl in 3D

Figure 1: Curl in 3D

Figure 2: \(\vb{F}\) in simply-connected region

Figure 2: \(\vb{F}\) in simply-connected region

Figure 3: Del notation

Figure 3: Del notation

Figure 4: Mnemotecnic formula for curl \(\vb{F}\)

Figure 4: Mnemotecnic formula for curl \(\vb{F}\)

Figure 5: Geometric meaning of curl

Figure 5: Geometric meaning of curl

2 Is the \(\text{curl}\vb{F}\) a scalar function?

2.1 Front

Is the $\text{curl}\vb{F}$ a scalar function?

Let \(\vb{F} = \ev{M,N}\) be a planar vector field

2.2 Back

In this case you can call it a scalar function because it only has \(\vu{k}\) component.

But really, curl is a vector function and in this case

\(\text{curl} \vb{F} = (N_x - M_y) \vu{k}\)

3 Write divergence theorem using del notation

3.1 Front

Write divergence theorem using del notation

Let \(\vb{F} = \ev{M,N,P}\) be a vector field

3.2 Back

\({\displaystyle \iint_S \vb{F} \cdot \dd{\vb{S}} = \iiint_D \div{\vb{F}} \dd{V}}\)

4 Compute this equation

4.1 Front

Compute this equation

\(\curl{\grad{f}}\)

4.2 Back

\(\curl{\grad{f}} = 0\), it was part of the criterion for gradient field

5 Compute this equation

5.1 Front

Compute this equation

\(\div{\curl{\vb{F}}}\)

5.2 Back

\(\div{\curl{\vb{F}}} = 0\)

Let \(\vb{F} = \ev{P,Q,R}\)

\({\displaystyle \curl{\vb{F}} = \ev{R_y - Q_z, P_z - R_x, Q_x - P_y}}\)

\({\displaystyle \div{\curl{\vb{F}}} = (R_y - Q_z)_x + (P_z - R_x)_y + (Q_x - P_y)_z = R_{yx} - Q_{zx} + P_{zy} - R_{xy} + Q_{xz} - P_{yz} = 0}\)

Note that for real vectors \(\vb{u} \cdot (\vb{u} \cross \vb{v}) = 0\)

6 How rapidly the flow spins the wheel?

6.1 Front

How rapidly the flow spins the wheel?

Let \(\vb{F}\) be a flow where \(\vb{v}\) is its velocity field. And there is a paddle wheel of radius \(a\) so its center is at \((x_0, y_0)\)

6.2 Back

The velocity at one blade would be \(\vb{F}\cdot \vu{T}\), the component of the flow velocity vector \(\vb{F}\) perpendicular to the blade (Tangent to the circle of radius \(a\))

If we only have one blade the wheel would spin around at an uneven rate. If the wheel has many blades, this unevenness will be averaged out, and it will spin around at approximately the average value of the tangential velocity \(\vb{F} \cdot \vu{T}\)

So, this is the average tangential velocity of \(\vb{F} \cdot \vu{T}\) over the circle. Speed of blade:

\({\displaystyle \frac{1}{2 \pi a} \oint_C \vb{F} \cdot \vu{T} \dd{s} = \frac{1}{2\pi a} \oint_C \vb{F} \cdot \dd{\vb{r}}}\)

Applying Green’s Theorem

\({\displaystyle \frac{1}{2 \pi a} \iint_R \curl{\vb{F}}_0 \dd{x} \dd{y} \approx \frac{1}{2\pi a} (\curl{\vb{F}})_0 \pi a^2}\)

Where \((\curl{\vb{F}})_0\) is the value of the function curl \(\vb{F}\) at \((x_0,y_0)\). If the paddle wheel is small we can approximate the curl \(\vb{F}\) to \((\curl{\vb{F}})_0\) over the interior \(R\) of the circle

So we can deduce that \({\displaystyle \text{tangential speed} \approx \frac{a}{2} (\curl{\vb{F}})_0}\), getting rid \(a\), \({\displaystyle w_0 \approx \frac{1}{2} (\curl{\vb{F}})_0}\)

7 What measures the curl of \(\vb{F}\)?

7.1 Front

What measures the curl of $\vb{F}$?

Let \(\vb{F}\) be a flow

7.2 Back

It’s measures the “vorticity” of the fluid flow - its tendency to produce rotation

8 Get a formula for getting potential function by path method

8.1 Front

Get a formula for getting potential function by path method

Let \(\vb{F} = \ev{M,N,P}\)

8.2 Back

\(\vb{F} \cdot \dd{\vb{r}} = M \dd{x} + N \dd{y} + P \dd{z}\)

\({\displaystyle \int_C \vb{F} \cdot \dd{\vb{r}} = f(P_1) - f(P_0)}\), setting \(P_0 = (0,0,0)\) and \(P_1 = (x_1, y_1, z_1)\)

Draw a path with 3 path from \((0,0,0)\) to \((x_1,0,0)\) to \((x_1, y_1, 0)\) to \((x_1, y_1, z_1)\)

\({\displaystyle f(x_1, y_1,z_1) = \int_0^{x_1} M(x,0,0) \dd{x} + \int_0^{y_1} N(x_1, y, 0) \dd{y} + \int_0^{z_1} P(x_1,y_1,z) \dd{z}}\)