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math121b:02-10 [2020/02/10 08:29]
pzhou
math121b:02-10 [2026/02/21 14:41] (current)
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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 "Leibniz rule"
 +$$ \b \nabla \cdot (f \b V) = \b \nabla f \cdot \b V + f  \b \nabla  \cdot \b V.$$
 +
 +==== Curl ====
 To compute the curl, we note the following rule To compute the curl, we note the following rule
 $$ \b \nabla \times (f \b V) = \b \nabla(f) \times \b V + f \b \nabla \times \b V $$ $$ \b \nabla \times (f \b V) = \b \nabla(f) \times \b V + f \b \nabla \times \b V $$
math121b/02-10.1581323375.txt.gz · Last modified: 2026/02/21 14:44 (external edit)