Question: 2 . 2 Computing Eigenvectors Before running your code on the trench depth data, it is good to develop the code using a smallish matrix

2.2 Computing Eigenvectors Before running your code on the trench depth data, it is good to develop the code using a smallish matrix for which you know the eigenvalues and eigenvectors. Do not include the testing data in the report. 1. Code your own algorithm to find the first eigenvector and eigenvalue of ATA, where A denotes the depth matrix. To do this, (a) First begin with a random guess vector of the correct size and magnitude one. (b) Apply ATA to that vector, and then divide the result by its magnitude to make sure its still magnitude one. That is your updated guess. (c) Repeat the two steps above until the vector stops changing

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