The Principal Eigenvector of a matrix is the eigenvector associated with the Largest eigenvalue, often providing insights into the Dominant characteristics of the Matrix's transformation, such as direction or influence. It is widely used in applications like Google's PageRank algorithm, where it helps determine the Relative importance of web pages by analyzing the Link structure of the internet.