Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
will cover the application part soon, but because eigenvectors point the same direction after a linear transformation, this means they are made up of the same relative amounts of i_hat and j_hat (and other basis vectors depending on the number of dimensions) before and after the transformation.