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Transformation Matrix A and function phi

First we regard the standard system of linear equations most people would usually use. To do this, we assume that at the beginning all people do one certain activity, in the vector language this would be one standard basis vector from \(\vec e_1\)..\(\vec e_4 \). After this definition we can define that \(\vec e_1\) represents the state that all students go to the correct lecture.

\(phi(\vec e_1) = 0.7x_1 + 0.1x_2 + 0.2x_3\\
phi(\vec e_2) = 0.2x_1 + 0.1x_2 +...
...0.1x_2 + 0.4x_3 + 0.4x_4\\ phi(\vec e_4) = 0.1x_1 + 0.1x_2
+ 0.1x_3 + 0.7x_4 \)
The above in words : as said \(\vec e_1\) means that 100% of all students go to the lecture. The next time, and this is what phi() should calculate 70% of the students are in the correct lecture, 10 % in the wrong lecture and so on. Now, as described on the process page, we basically just leave away all the variables, and have our transformation matrix A (and hence phi, too).



\begin{displaymath}\mathbf A = \frac{1}{10} * \left( \begin{array}{cccc}7 & 2 & ...
...1 &
1 & 1\\ 2 & 4 & 4 & 1\\ 0 & 3 & 4 & 1
\end{array} \right)\end{displaymath}



MARTIN RAAB 2004-02-24