Bart Allen11/27/16Google Page rank andeigenvectors/valuesHave you ever wondered, when you use google to search for anything, it has a hierarchyof web pages that all relate to the question or thing you find? Or ranks pages based on howclosely related it is to the search you entered? This page rank by Google is known as the Googlepage rank algorithm, which in fact uses eigenvectors and eigenvalues to rank pages based solelyon the search by the user. As a computer science/math person, this seems fascinating to whereLinear Algebra implements googles algorithm for their search engine. With the many uses ofeigenvectors and eigenvalues, I will explain how, and why they are useful and how they makethe search engine algorithm work.Google’s page rank algorithm in simple makes use of matrices that allows the search datato store as well as accessed from what the user decides to search. Based on what the user