Michael Corral: Vector Calculus
Michael Corral: Vector Calculus
Michael Corral: Vector Calculus
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4.6 Gradient, Divergence, Curl and Laplacian 179<br />
Solution: (a)∇‖r‖ 2 = 2xi+2yj+2zk=2r<br />
(b)∇·r= ∂ ∂x (x)+ ∂ ∂y (y)+ ∂ ∂z (z)=1+1+1=3<br />
(c)<br />
i j k<br />
∇×r=<br />
∂ ∂ ∂<br />
∂x ∂y ∂z<br />
= (0−0)i−(0−0)j+(0−0)k=0<br />
∣<br />
x y z∣<br />
(d)∆‖r‖ 2 = ∂2<br />
∂x 2 (x 2 +y 2 +z 2 )+ ∂2<br />
∂y 2 (x 2 +y 2 +z 2 )+ ∂2<br />
∂z 2 (x 2 +y 2 +z 2 )=2+2+2=6<br />
Notethatwecouldhavecalculated∆‖r‖ 2 anotherway,usingthe∇notationalongwith<br />
parts (a) and (b):<br />
∆‖r‖ 2 =∇·∇‖r‖ 2 =∇·2r=2∇·r=2(3)=6<br />
Notice that in Example 4.17 if we take the curl of the gradient of‖r‖ 2 we get<br />
∇×(∇‖r‖ 2 )=∇×2r=2∇×r=20=0.<br />
The following theorem shows that this will be the case in general:<br />
Theorem 4.15. For any smooth real-valued function f(x,y,z),∇×(∇f)=0.<br />
Proof: We see by the smoothness of f that<br />
i j k<br />
∂ ∂ ∂<br />
∇×(∇f)=<br />
∂x ∂y ∂z<br />
∂f ∂f ∂f<br />
∣<br />
∂x ∂y ∂z<br />
∣<br />
( ∂ 2 )<br />
f<br />
=<br />
∂y∂z − ∂2 f<br />
∂z∂y<br />
( ∂ 2 ) (<br />
f<br />
i−<br />
∂x∂z − ∂2 f ∂ 2 )<br />
f<br />
j+<br />
∂z∂x ∂x∂y − ∂2 f<br />
k=0,<br />
∂y∂x<br />
since the mixed partial derivatives in each component are equal.<br />
QED<br />
Corollary 4.16. If a vector field f(x,y,z) has a potential, then curl f=0.<br />
Another way of stating Theorem 4.15 is that gradients are irrotational. Also, notice<br />
that in Example 4.17 if we take the divergence of the curl of r we trivially get<br />
∇·(∇×r)=∇·0=0.<br />
The following theorem shows that this will be the case in general:<br />
Theorem 4.17. For any smooth vector field f(x,y,z),∇·(∇×f)=0.<br />
The proof is straightforward and left as an exercise for the reader.