This lecture covers the formulas for changing the base of a linear application, focusing on calculating the image of a vector in two different bases. It explains the equivalence of different paths in determining the image of a vector and provides examples of reflections and base change matrices. The lecture also discusses the importance of using the canonical basis as an intermediate step in calculations and highlights the ease of finding base change matrices in certain scenarios.