The PageRank scores indicate that Page 2 is the most important page, followed by Pages 1 and 3.
To compute the eigenvector, we can use the Power Method, which is an iterative algorithm that starts with an initial guess and repeatedly multiplies it by the matrix $A$ until convergence. Linear Algebra By Kunquan Lan -fourth Edition- Pearson 2020
The PageRank scores are computed by finding the eigenvector of the matrix $A$ corresponding to the largest eigenvalue, which is equal to 1. This eigenvector represents the stationary distribution of the Markov chain, where each entry represents the probability of being on a particular page. The PageRank scores indicate that Page 2 is