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gibson:teaching:fall-2014:math445:lecture10-diary [2014/10/17 09:44] gibson |
gibson:teaching:fall-2014:math445:lecture10-diary [2014/10/17 10:23] (current) gibson |
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</code> | </code> | ||
- | Rewrite this with summation notation | + | We can also do the sum with a ''for'' loop. To see how to build the ''for'' loop, it's helpful to think of the series as a sequence of //partial sums// |
\begin{eqnarray*} | \begin{eqnarray*} | ||
- | \frac{\pi^2}{6} = \sum_{n=1}^{\infty} \frac{1}{n^2} | + | P_1 = 1 |
\end{eqnarray*} | \end{eqnarray*} | ||
- | The Nth partial sum $P_N$ of the infinite series is | ||
\begin{eqnarray*} | \begin{eqnarray*} | ||
- | P_N = \sum_{n=1}^{N} \frac{1}{n^2} | + | P_2 = 1 + \frac{1}{2^2} |
\end{eqnarray*} | \end{eqnarray*} | ||
- | Then $\pi^2/6 = \lim_{N \rightarrow \infty} P_N$. | + | \begin{eqnarray*} |
+ | P_3 = 1 + \frac{1}{2^2} + \frac{1}{3^2} | ||
+ | \end{eqnarray*} | ||
+ | etc. Note that the difference between successive partial sums is a single term. | ||
+ | \begin{eqnarray*} | ||
+ | P_n = P_{n-1} + \frac{1}{n^2} | ||
+ | \end{eqnarray*} | ||
+ | So we can compute the $N$th partial sum $P_N$ by successively adding the term $1/n^2$ for n going from 1 to N. | ||
+ | |||
+ | That's exactly we do when we compute the sum with a ''for'' loop. | ||
+ | <code matlab> | ||
+ | N=100; | ||
+ | P=0; | ||
+ | for n=1:N | ||
+ | P = P + 1/n^2; | ||
+ | end | ||
+ | </code> | ||
+ | At each step in the ''for'' loop, we compute $1/n^2$ for the current value of $n$, add it to the previously computed partial sum $P_{n-1}$, and then store the result into $P_n$. But, since we are only interested in the final value $P_N$, we just store the current value of the partial sum in the variable P and write over it with the next value each time we step through the loop. | ||
+ | |||
+ | | ||
- | Now |