Vectors and Tensors R. Shankar Subramanian - Noppa
Vectors and Tensors R. Shankar Subramanian - Noppa
Vectors and Tensors R. Shankar Subramanian - Noppa
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∂ ∂<br />
∇≡ e + e + e<br />
∂ ∂<br />
() 1 ( 2) ( 3)<br />
∂<br />
∂<br />
x1 x2<br />
x 3<br />
in a rectangular Cartesian coordinate system ( , , )<br />
x x x .<br />
1 2 3<br />
Note that ∇ is an operator <strong>and</strong> not a vector. So, you should exercise care in manipulating it.<br />
The ∇ operator is the generalization of a derivative. We can differentiate vector fields in more than<br />
one way.<br />
Divergence<br />
∇⋅ v or div v is called the divergence of the vector field v . If the rectangular Cartesian<br />
components of v are vv, v,<br />
then<br />
1, 2 3<br />
∂v<br />
∂v<br />
∂v<br />
1 2 3<br />
∇⋅ v = + +<br />
∂x1 ∂x2<br />
∂x 3<br />
As you can see, the result is a scalar field.<br />
Curl<br />
∇× v or curl v is a vector field. As the name implies, it measures the “rotation” of the vector<br />
v .<br />
Again, in ( x 1,<br />
x 2<br />
, x 3 ) coordinates,<br />
e e e<br />
() 1 ( 2) ( 3)<br />
∂ ∂ ∂<br />
∇× v = ∂ x ∂ x ∂ x<br />
1 2<br />
v v v<br />
1 2<br />
3<br />
3<br />
= ε<br />
ijk<br />
∂v<br />
j<br />
∂x<br />
i<br />
There are two important theorems you should know. They are simply stated here without proof.<br />
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