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| ====== 2020-02-10, Monday ====== | ====== 2020-02-10, Monday ====== | ||
| - | $$\gdef\div{\text{div}} \gdef\vol{\text{Vol}} \gdef\b{\mathbf}$$ | + | $$\gdef\div{\text{div}} \gdef\vol{\text{Vol}} \gdef\b{\mathbf} \gdef\d{\partial}$$ |
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| See Example 2 on page 523, for how to consider a general curvilinear coordinate $(x_1, x_2, x_3)$ on $\R^3$. | See Example 2 on page 523, for how to consider a general curvilinear coordinate $(x_1, x_2, x_3)$ on $\R^3$. | ||
| + | The notation $d \b s$ corresponds to | ||
| + | $$ \sum_{i=1}^n \frac{\d }{\d x_i} \otimes d x_i \in (T_p \R^n) \otimes (T_p \R^n)^*. $$ | ||
| + | An element $T$ in $V \otimes V^*$ can be viewed as a linear operator $V \to V$, by inserting $v \in V$ to the second slot of $T$. In this sense $d \b s$ is the identity operator on $T_p \R^n$. You might have seen in Quantum mechanics the bra-ket notation $1 = \sum_n | n \rangle \otimes \langle n |$ (( $\otimes$ sometimes omitted as usual in physics.)) It is the same thing, where $| n \rangle \in V$ forms a basis and $ \langle n | \in V^*$ are the dual basis. | ||
| + | |||
| + | ** Orthogonal coordinate system (ortho-curvilinear coordinate) **, the matrix $g_{ij}$ is diagonal, with entries $h_i^2$ (not to be confused with our notation for dual basis). This is | ||
| + | the case we will be considering mainly. | ||
| + | |||
| + | ===== Section 10.9 ===== | ||
| + | Suppose we have orthogonal coordinate system $(x_1, x_2, x_3)$, and **unit** basis vectors $\b e_i$, we have | ||
| + | $$ \b a_i = \frac{\d }{\d x_i} = h_i \b e_i. $$ | ||
| + | |||
| + | Given a vector field $V$, we write its component in the basis of $\b e_i$ (warning! this is not our usual notation, we usual write with basis $\frac{\d }{\d x_i}$) | ||
| + | $$ \b V = \sum_i V^i \b e_i $$. | ||
| + | |||
| + | ==== Divergence. ==== | ||
| + | Try to do problem 1. | ||
| + | |||
| + | An important property is the " | ||
| + | $$ \b \nabla \cdot (f \b V) = \b \nabla f \cdot \b V + f \b \nabla | ||
| + | |||
| + | ==== Curl ==== | ||
| To compute the curl, we note the following rule | To compute the curl, we note the following rule | ||
| $$ \b \nabla \times (f \b V) = \b \nabla(f) \times \b V + f \b \nabla \times \b V $$ | $$ \b \nabla \times (f \b V) = \b \nabla(f) \times \b V + f \b \nabla \times \b V $$ | ||