up previous



  1. $\textstyle \parbox{2in}{
We want the area (as measured in the surface) of the p...
...theta \le \alpha$. Using the
infinitesimal surface area element, \vspace{1in} }$
    \begin{picture}(0,0)%
\epsfbox{sphere.pstex}%
\end{picture}
    @25<@@25 setsize @25<@@25 setsizeSetFigFont>@ pt@@ pt xxxxxxsplain
    \begin{picture}
% latex2html id marker 56
(5720,5857)(1493,-5168)
\put(4276,-178...
...\romannumeral\the\count@ pt\endcsname
\csname it\endcsname $R$}}}
\end{picture}

    $\displaystyle A = \int_0^{\alpha} \ R\, d\theta\ \int_0^{2\pi} \ R\,\sin\theta\...
...^2\ \int_0^{\alpha} \ d\theta\ \sin\theta = 2\pi \, R^2\
(\ 1 - \cos\alpha\ ).$

    Noting that $ \alpha = a/R$, and Taylor expanding in $ \alpha$ gives

    $\displaystyle A = 2\pi \, R^2\ \left(\ \frac{\alpha^2}{2} - \frac{\alpha^4}{4!}...
...ha^6)\ \right)
= \pi \, a^2\ \left(\ 1 - \frac{a^2}{12R^2} + O(a^4)\ \right)\ .$

    Thus

    $\displaystyle \frac{\pi\, a^4}{12R^2} = \pi \, a^2 - A + O(a^6) $

    which implies

    $\displaystyle K = \frac{1}{R^2} = (12/\pi)\ \ \frac{\pi \, a^2 - A + O(a^6) }{a^4} \ .$

    If we take the limit as $ a$ goes to zero the terms of order $ a^6/a^4$ vanish and we get the desired identity:

    $\displaystyle K = (12/\pi)\ \lim_{a\rightarrow 0} \ \frac{\pi \, a^2 - A}{a^4} \ \
.$

    1. Yes, Euclid's 5th postulate is true, for 2-dimensional geometry on the cylinder.

    2. To show this, we must show that for any type of geodesic $ L$, and point $ P$ not on $ L$, there is exactly one geodesic $ L'$ through $ P$ that never intersects $ L$. There are three cases for $ L$:

      1. $ L$ is a vertical line, which we parametrize by $ \theta = \theta_L =
0$. $ P$ is the point $ (z_p, \theta_p \ne 0)$ not on $ L$. Geodesics $ L'$ through $ P$ include

        \epsfbox{cylline.eps} $\textstyle \parbox{4in}{\vspace{-1.5in}
\begin{enumerate}\item Helices $\theta ...
...P$\ that never
intersects the vertical line $L$, the vertical line $L'$. \qed }$

      2. $ L$ is a circle, which we parametrize by $ z = z_L = 0$. $ P$ is the point $ (z_p \ne 0, \theta_p)$ not on $ L$. Geodesics $ L'$ through $ P$ include

        \epsfbox{cylcirc.eps} $\textstyle \parbox{4in}{\vspace{-1.5in}
\begin{enumerate}\item Helices $z = m\,...
...esic through $P$\ that never
intersects the circle $L$, the circle $L'$. \qed }$

      3. $ L$ is the helix $ \theta = nz + \theta_L \equiv nz$, for nonzero $ n$. $ P$ is the point $ (z_p, \theta_p),$ where $ \theta_p \ne nz_p$ (mod $ 2\pi$ ) because $ P$ is not on $ L$. Geodesics $ L'$ through $ P$ include

        \epsfbox{cylhel.eps} $\textstyle \parbox{4in}{\vspace{-2.5in}
\begin{enumerate}\par
\item The line $\...
...
intersects the helix $L$, the helix $L'$\ with the same slope $n' = n$. \qed }$

      (Note that I presented each case fully for clarity, but didn't expect you to be so elaborate or redundant.)

    3. $ K = 0$, since Euclid's 5th postulate is obeyed. This makes sense because $ K^{-1}$ is the product of the two radii of curvature, defined as the radii of the largest and smallest circles which locally approximate any curve through a point $ P$ on the surface. Here those radii of curvature are the cylinder radius $ R$, which approximates the horizontal circular geodesic , and infinity, as straight vertical lines on the cylinder are approximated by circles of infinite radius.

    1. We must calculate the Christoffel symbols

      $\displaystyle \Gamma^i_{\ \ jk} = \frac{1}{2}\ g^{il}\ \left(\
\partial_j\, g_{lk} + \partial_k\, g_{lj} - \partial_l\, g_{jk}
\ \right)$

      for the metric

      $\displaystyle g_{ij} = \left(\ \begin{array}{cc} 1&\\  &r^2 \end{array}\ \right)\ \ ,$

      which is diagonal, and has only one nontrivial derivative, $ \partial_r\, g_{\theta\theta} = 2r$. Note that the inverse metric is just

      $\displaystyle g^{ij} = \left(\ \begin{array}{cc} 1&\\  &r^{-2} \end{array}\ \right)\ \ .$

      First consider $ \Gamma^r_{\ \ jk}$. $ g^{rl}$ is nonzero only when $ l=
r$, giving for the sum over $ l$ only the contribution from $ l=
r$:

      $\displaystyle \Gamma^r_{\ \ jk} = \frac{1}{2}\ \left(\
\partial_j\, g_{rk} + \partial_k\, g_{rj} - \partial_r\, g_{jk}
\ \right)\ ,$

      where we have used the fact that $ g^{rr} = 1$. There is no component $ g_{rk}$ of the metric with nontrivial coordinate derivatives, so the first 2 terms always vanish. The last term vanishes unless $ j=k=
\theta$, for which we get the only nonzero Christoffel symbol of the form $ \Gamma^r_{\ \ jk}$,

      $\displaystyle \Gamma^r_{\ \ \theta\theta} = -\ \frac{1}{2}\ \partial_r\, g_{\theta\theta}
= -\ r\ \ .$

      We then consider $ \Gamma^\theta_{\ \ jk}$. $ g^{\theta l}$ is nonzero only when $ l= \theta$, giving for the sum over $ l$ only the contribution from $ l= \theta$:

      $\displaystyle \Gamma^\theta_{\ \ jk} = \frac{1}{2\, r^2}\ \left(\
\partial_j\, g_{\theta k} + \partial_k\, g_{\theta j}
- \partial_\theta\, g_{jk} \ \right)\ ,$

      where we have used the fact that $ g^{\theta\theta} = r^{-2}$. There is no component $ g_{jk}$ of the metric with nontrivial $ \theta$-derivative, so the last term always vanishes. The first term vanishes unless $ j=r$ and $ k=
\theta$; the second unless $ j=\theta$ and $ k=r$. Thus we get the only nonzero Christoffel symbols of the form $ \Gamma^\theta_{\ \ jk}$ as being

      $\displaystyle \Gamma^\theta_{\ \ r\theta} =\Gamma^\theta_{\ \ \theta r} =
\frac{1}{2\, r^2}\ \partial_r\, g_{\theta\theta} = \frac{1}{r}\ \ .$

      Summarizing, we get the Christoffel symbols

      $\displaystyle \Gamma^r_{\ \ \theta\theta} = -\ r \hspace{1in}
\Gamma^\theta_{\ \ r\theta} =\Gamma^\theta_{\ \ \theta r} = \frac{1}{r}\ \ ,$

      with all remaining components zero.

    2. First, note that $ R_{ijkl}$ is antisymmetric under the exchanges $ i \leftrightarrow j$ and $ k \leftrightarrow l$. Thus

      $\displaystyle R_{rrkl} = R_{\theta\theta kl} = R_{ijrr} = R_{ij\theta\theta} = 0\ \ ,$

      with all nonzero $ R_{ijkl}$ determined by symmetry from $ R_{r\theta r\theta}$, the lowered form of

      $\displaystyle R_{r\theta r}^{\ \ \ \ \theta} = \frac{\partial\ }{\partial \thet...
...ma^\theta_{\ \ m\theta} - \Gamma^m_{\ \ \theta r}\ \Gamma^\theta_{\ \ mr} \ \ ,$

      plugging in $ i = k = r$ and $ j = l = \theta$ to our expression for $ R_{ijk}^{\ \ \ \ l}$. Term 1 vanishes, as $ \Gamma^\theta_{\ \ \theta r} $ is independent of $ \theta$. Term 3 vanishes, as $ \Gamma^m_{\ \ rr} = 0$ for all $ m$. Term 4 is nonzero only for $ m = \theta$. Thus

      $\displaystyle R_{r\theta r}^{\ \ \ \ \theta} = - \
\frac{\partial\ }{\partial ...
...heta_{\ \ \theta r} \ \ =\ \
1/r^{2} - \left(\ 1/r\ \right)^2 \ \ =\ \ 0 \ \ .$

      All $ R_{ijkl}$ related to $ R_{r\theta r}^{\ \ \ \ \theta}$ by symmetry are thus also zero, giving $ R_{ijkl} = 0$ for all values of $ ijkl$.

    1. We use the coordinate transformation

      $\displaystyle r = \sqrt{x^2 + y^2} \hspace{1.5in} \theta = \tan^{-1} \ \frac{y}{x} $

      to find the Jacobian matrix

      \begin{displaymath}J^{\ i}_{\ \ \ j} \equiv \frac{\partial{\tilde{x}^i}}{\partia...
...c{\partial{\theta}}{\partial{y}}
\end{array}\ \
\right)\ \ \ ,\end{displaymath}

      remembering that a partial derivative with respect to $ x$ involves holding its orthogonal variable $ y$ constant (which is why we need the functions $ r(x,y), \theta(x,y)$.) Evaluating partial derivatives gives

      \begin{displaymath}J^{\ i}_{\ \ \ j} = \quad \left(\ \
\begin{array}{cc}
\frac{...
...theta}{r} & \frac{\cos\theta}{r}
\end{array}\ \
\right)\ \ \ .\end{displaymath}

    2. For the inverse coordinate transformation

      $\displaystyle x = r\cos\theta \hspace{1.5in} y = r\sin\theta\ \ .$

      we want the Jacobian matrix

      \begin{displaymath}\tilde{J}^{\ i}_{\ \ \ j} \equiv\quad
\frac{\partial{x^i}}{\...
...c{\partial{y}}{\partial{\theta}}
\end{array}\ \
\right)\ \ \ .\end{displaymath}

      Evaluating partial derivatives gives

      \begin{displaymath}\tilde{J}^{\ i}_{\ \ \ j} = \quad \left(\ \
\begin{array}{cc...
...4pt] \sin\theta & r\, \cos\theta
\end{array}\ \
\right)\ \ \ .\end{displaymath}

      Note that $ \vec{\tilde{J}} =\vec{J^{-1}}$, since

      \begin{displaymath}\vec{\tilde{J}} \ \vec{J} = \left(\ \
\begin{array}{cc}
\cos...
...\
\begin{array}{cc} 1& 0\\  0&1 \end{array}\ \
\right)\ \ \ .\end{displaymath}

    3. Under our coordinate transformation,

      \begin{displaymath}\left(\
\begin{array}{c} v^x\\  v^y \end{array}\ \right) \qu...
...}\ \left(\
\begin{array}{c} v^x\\  v^y \end{array}\ \right)\ .\end{displaymath}

      Using our calculated Jacobian matrix $ \vec{J}$ from part (a),

      \begin{displaymath}\left(\ \begin{array}{c} v^r\\  v^\theta \end{array}\ \right)...
...-\sin\theta\ v^x + \cos\theta\ v^y \ )\end{array}\ \right)\ \ .\end{displaymath}

      Note that $ v_r$ is the usual radial component of a vector; $ v_\theta$ is $ 1/r$ times the usual angular component, because we are using a metric which has explicit factors of $ r$ in converting angular components to length via the dot product (instead of the usual approach normalizing $ {\boldsymbol {\hat{\theta}}}$ with a trivial metric).

      1. The question showed that the matrix multiplication

        $\displaystyle \left(\ \begin{array}{c} \partial_r \\  \partial_\theta \end{arra...
...)^T \ \left(\ \begin{array}{c} \partial_x \\  \partial_y \end{array}\
\right) $

        implements the chain rule,

        $\displaystyle \partial_r = \frac{\partial{x}}{\partial{r}} \ \partial_x + \frac{\partial{y}}{\partial{r}} \ \partial_y\
,$

        etcetera. Performing this multiplication gives (using the result for $ \vec{J^{-1}}$ from part (b))

        \begin{displaymath}\left(\ \begin{array}{c} \partial_r \\  \partial_\theta \end{...
...partial_x + \cos\theta\ \partial_y\ )
\end{array}\
\right). \end{displaymath}

        Looking up the partial derivatives $ \frac{\partial{x}}{\partial{r}}, \frac{\partial{y}}{\partial{r}},$ etc from part (b) confirms that our result does indeed agree with the chain rule.

      2. By a similar argument to that posed in the question,

        $\displaystyle \frac{\partial{\ }}{\partial{{x}^j}} = \frac{\partial{\tilde{x}^i...
...\left(\ \vec{{J}}\ \right)^T \ \frac{\partial{\ }}{\partial{\tilde{x}^i}} \ \ ,$

        if we think of $ \frac{\partial{\ \ }}{\partial{\tilde{x}^i}}$ as a column vector. Performing this multiplication gives (using the result for $ \vec{J}$ from part (a))

        \begin{displaymath}\left(\ \begin{array}{c} \partial_x \\  \partial_y \end{array...
...rac{\cos\theta}{r}\ \partial_\theta\
\end{array}\
\right). \end{displaymath}

        Again, looking up the partial derivatives $ \frac{\partial{r}}{\partial{x}},
\frac{\partial{\theta}}{\partial{x}},$ etc from part (a) confirms that our result does indeed agree with the chain rule.

    4. In Cartesian coordinates,

      $\displaystyle \partial_i\ v^i = \partial_x\ v^x + \partial_y\ v^y\ \ .$

      In polar coordinates,
      $\displaystyle \partial_i\ v^i$ $\displaystyle =$ $\displaystyle \partial_r\ v^r + \partial_\theta\ v^\theta$  
        $\displaystyle =$ $\displaystyle \partial_r\ (\ \cos\theta\ v^x + \sin\theta\ v^y\ )
+ \partial_\theta\ \left(\ \frac{1}{r} \ ( -\sin\theta\ v^x + \cos\theta\ v^y )\ \right)\ \ ,$  

      using our result for $ v_r, v_\theta$ from (c). Performing the derivatives gives
      $\displaystyle \partial_i\ v^i$ $\displaystyle =$ $\displaystyle (\ \cos\theta\ (\ \partial_r\ v^x\ ) + \sin\theta\ (\ \partial_r\ v^y\ )\ )
+ \frac{1}{r} \ ( -\cos\theta\ v^x - \sin\theta\ v^y )$  
          $\displaystyle \quad \quad + \frac{1}{r} \ ( -\sin\theta\ (\ \partial_\theta\ v^x\ )
+ \cos\theta\ (\ \partial_\theta\ v^y \ )\ )\ $  
        $\displaystyle =$ $\displaystyle (\ \cos\theta\ (\ \partial_r\ v^x\ )
- \ \frac{\sin\theta}{r}\ (\...
...ial_\theta v^y\ )\ )
- \frac{1}{r} \ ( \cos\theta\ v^x + \sin\theta\ v^y )\ \ ,$  

      after regrouping terms. From part (d-ii), we recognize the derivative operators as
      $\displaystyle \partial_i\ v^i$ $\displaystyle =$ $\displaystyle \partial_x\ v^x\
+ \partial_y\ v^y
- \frac{1}{r} \ ( \cos\theta\ v^x + \sin\theta\ v^y )$  
        $\displaystyle =$ $\displaystyle \partial_x\ v^x\
+ \partial_y\ v^y
- \frac{1}{r} \ v^r \ \ ,$  

      again using our result for $ v_r$ from (c).

    5. In polar coordinates,
      $\displaystyle {\boldsymbol {\nabla}}_i\ v^i$ $\displaystyle =$ $\displaystyle \partial_i \ v^i + \Gamma^i_{\ \ ij}\ v^j$  
        $\displaystyle =$ $\displaystyle \partial_r \ v^r + \partial_\theta \ v^\theta
+ \Gamma^r_{\ \ rj}\ v^j + \Gamma^\theta_{\ \ \theta j}\ v^j \ \ .$  

      $ \Gamma^r_{\ \ rj}$ vanishes for all $ j$, while $ \Gamma^\theta_{\ \
\theta j}$ contributes only when $ j=r$. Thus we get

      $\displaystyle {\boldsymbol {\nabla}}_i\ v^i = \partial_r \ v^r + \partial_\theta \ v^\theta +
\frac{1}{r}\ v^r \ \ ,$

      plugging in $ \Gamma^\theta_{\ \
\theta r} = 1/r$ from problem 1(b). From our answer to 2(e), this just gives

      $\displaystyle {\boldsymbol {\nabla}}_i\ v^i = \partial_x\ v^x\ + \partial_y\ v^y \ \ ,$

      which is what we obtain for $ {\boldsymbol {\nabla}}_i\ v^i$ in Cartesian coordinates, where all Christoffel symbols vanish.

    1. See attached mathematica printout.
    2. See attached mathematica printout.

    3. By inspection, we have nonzero Riemann tensor entries

      \begin{displaymath}\begin{array}{rcrcccrcrcc}
R_{r\theta r}^{\ \ \ \ \theta} &=&...
...\phi}^{\ \ \ \ \theta} &=&
{kr^2\sin^2 \theta}\ \ ,
\end{array}\end{displaymath}

      where we have always grouped $ R_{ijk}^{\ \ \ \ l} = -R_{jik}^{\ \ \ \ l}$ together to show the antisymmetry.

    4. To find the Ricci tensor, we must perform the contraction $ R_{ik} =
R_{ilk}^{\ \ \ \ l}$. Note for the Riemann tensor entries above, the entry $ R_{ijk}^{\ \ \ \ l}$ is nonzero only if the set of indices $ {ij}$ equals the set $ {kl}$. In our contraction we further require $ j=l$, so we get nonzero Ricci tensor entries only when $ i=k$. The possibilities are
      $\displaystyle R_{rr} \ \ =\ \ R_{r\theta r}^{\ \ \ \ \theta} + R_{r\phi r}^{\ \ \ \ \phi}$ $\displaystyle =$ $\displaystyle \frac{2k}{1-kr^2}$  
      $\displaystyle R_{\theta\theta} \ \ =\ \ R_{\theta r\theta}^{\ \ \ \ r} + R_{\theta\phi \theta}^{\ \ \ \ \phi}$ $\displaystyle =$ $\displaystyle {2kr^2}$  
      $\displaystyle R_{\phi\phi} \ \ =\ \ R_{\phi \theta\phi}^{\ \ \ \ \theta} + R_{\phi r\phi}^{\ \ \ \ r}$ $\displaystyle =$ $\displaystyle {2kr^2\sin^2 \theta}\ \ .$  

    5. The Ricci tensor $ {\cal R}$ is given by

      $\displaystyle {\cal R} \ \ =\ \ R_{i}^{\ i}\ \ =\ \ g^{ij} R_{ij} \ \ =\ \ \sum_i\ g^{ii}R_{ii}\ \ ,$

      the last step because the metric $ g_{ij}$ is diagonal, nonzero only if $ i=j$. Performing the sum,
      $\displaystyle {\cal R}$ $\displaystyle =$ $\displaystyle g^{rr}R_{rr} + g^{\theta\theta}R_{\theta\theta} + g^{\phi\phi}R_{\phi\phi}$  
        $\displaystyle =$ $\displaystyle \left(\ \frac{R^2}{1-kr^2}\ \right)^{-1}\ \ \frac{2k}{1-kr^2} \ +...
...R^2r^2\sin^2\theta} \ \ (\ {2kr^2\sin^2 \theta}\ )
\ \ =\ \ \frac{6k}{R^2}\ \ .$  

    6. Note that our metric $ g_{ij}$ is diagonal, with entries
      $\displaystyle g_{rr}$ $\displaystyle =$ $\displaystyle \frac{R^2}{1-kr^2}$  
      $\displaystyle g_{\theta\theta}$ $\displaystyle =$ $\displaystyle R^2 \, r^2$  
      $\displaystyle g_{\phi\phi}$ $\displaystyle =$ $\displaystyle R^2\, r^2\, \sin^2\theta \ \ \ .$  

      By inspection from part (d), this is a space of constant curvature, with $ R_{ik} = (2k/R^2)\ g_{ij}$.

ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)ARRAY(0x8a519e4)

About this document ...

This document was generated using the LaTeX2HTML translator Version 2K.1beta (1.47)

Copyright © 1993, 1994, 1995, 1996, Nikos Drakos, Computer Based Learning Unit, University of Leeds.
Copyright © 1997, 1998, 1999, Ross Moore, Mathematics Department, Macquarie University, Sydney.

The command line arguments were:
latex2html -split 0 soln5

The translation was initiated by on 2004-04-06


up previous
2004-04-06