Diagonalization of MatricesExplores the diagonalization of matrices through eigenvalues and eigenvectors, emphasizing the importance of bases and subspaces.
Linear Algebra BasicsCovers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.
Equilibrium of Markov ChainsExplores equilibrium in Markov Chains, covering invariant distributions, properties determination, and practical applications.
Convergence Rate Theorem: Part 1Delves into the proof of the convergence rate theorem for an ergodic Markov chain, emphasizing eigenvalues and detailed balance properties.
