This is an old revision of the document!
We first finish up the derivation of Laplacian last time. See the lecture note 2020-02-07, Friday. Then, we introduce two vector operations, divergence and curl. Finally, we give a summary of the mathematical treatment of tensor analysis.
Then, we will follow Boas 10.9 and 10.10, to introduce the physic-engineer notations: the nabla operator .
In Cartesian coordinate, the differential of a function is $$ df = \sum_i \frac{\df }{\d x_i} dx_i. $$
In general coordinate , the differential of a function is $$ df = \sum_i \frac{\df }{\d u_i} d u_i. $$
You can specify the differential of a function directly: at a point , is a linear function on : it sends an element to the directional derivative of along the vector .
In Cartesian coordinate, the gradient of a function is
Let be the flat space, with standard coordinates .
Let be a vector field on , that is, for each point , we specify a tangent vector We require that varies smoothly with respect to .
The divergence of is a function on , recall that is a function on , and is taking the partial derivative with respect to .
What does divergence mean? Geometrically, it measure the relative change-rate of the volume of an infinitesimal cube situated at point . Suppose is the flow generated by (every point moves as dictated by ). And let be a cube of side-length , center at . Then, we have the geometrical interpretation as That is why, if is an open domain, we can compute the change-rate of the volume of by
If we are given a curvilinear coordinate, how to compute the divergence?