Covers the calculation of eigenvalues and eigenvectors, emphasizing their significance and applications.
Covers the theory of scalar fields, stability of fixed points, eigenvalues, Lagrangian interactions, tensors, and beta functions.
Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.
Explores the concept of stationary distribution in Markov chains, discussing its properties and implications, as well as the conditions for positive-recurrence.
