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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 />

10

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