The eigenvalue problem involves finding eigenvalues and eigenvectors associated with a linear operator, typically represented in matrix form. The fundamental equation is Au = λu, where A is the operator, u is the eigenvector, and λ is the eigenvalue. Eigenvectors maintain their direction under the transformation of A, except when λ is negative, which reverses their direction. This concept is crucial in various physics applications, such as determining normal modes in wave equations and stationary states in quantum mechanics. Understanding the eigenvalue problem requires a grasp of linear algebra fundamentals, including vectors and matrices.