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math121b:02-10

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2020-02-10, Monday

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 \gdef\b{\mathbf} \b \nabla.

Differential of a function

In Cartesian coordinate, the differential of a function ff is $$ df = \sum_i \frac{\df }{\d x_i} dx_i. $$

In general coordinate (u1,,un)(u_1, \cdots, u_n), the differential of a function ff is $$ df = \sum_i \frac{\df }{\d u_i} d u_i. $$

You can specify the differential of a function directly: dfdf at a point pRnp \in \R^n, is a linear function on TpRnT_p \R^n: it sends an element vTpRn\b v \in T_p \R^n to v(f)\b v(f) the directional derivative of ff along the vector v\b v.

Gradient of a function (is a vector field)

In Cartesian coordinate, the gradient of a function is  grad f=i \gdef\grad{\text{ grad } } \grad f = \sum_i

Divergence of a Vector field (is a function)

Let Rn\R^n be the flat space, with standard coordinates (x1,,xn)(x_1, \cdots, x_n).

Let V\b V be a vector field on Rn\R^n, that is, for each point pRnp \in \R^n, we specify a tangent vector V(p)=i=1nVi(p)iTpRn. \b V(p) = \sum_{i=1}^n V^i(p) \d_i \in T_p \R^n. We require that Vi(p)V^i(p) varies smoothly with respect to pp.

The divergence of V\b V is a function on Rn\R^n, div(V)=i=1ni(Vi) div(\b V) = \sum_{i=1}^n \d_i( V^i ) recall that ViV^i is a function on Rn\R^n, and i\d_i is taking the partial derivative with respect to xix_i.

What does divergence mean? Geometrically, it measure the relative change-rate of the volume of an infinitesimal cube situated at point pp. Suppose Φt:RnRn\Phi^t: \R^n \to \R^n is the flow generated by V\b V (every point moves as dictated by V\b V). And let C=C(p,ϵ)C= C(p, \epsilon) be a cube of side-length ϵ\epsilon, center at pp. Then, we have the geometrical interpretation as div(V)=limϵ01Vol(C)dVol(Φt(C))dtt=0. \gdef\div{\text{div}} \gdef\vol{\text{Vol}} \div(\b V) = \lim_{\epsilon \to 0} \frac{1}{\vol(C)} \frac{d \vol(\Phi^t(C))}{dt} \vert_{t=0}. That is why, if SRnS \subset \R^n is an open domain, we can compute the change-rate of the volume of SS by dVol(Φt(S))dtt=0=Sdiv(V)(x)dVol(x). \frac{d \vol(\Phi^t(S)) } {dt}\vert_{t=0} = \int_{S} \div(\b V)(\b x) \, d \vol(\b x).

If we are given a curvilinear coordinate, how to compute the divergence?

math121b/02-10.1581320049.txt.gz · Last modified: 2020/02/09 23:34 by pzhou