Another Example of a Projection Matrix - Linear Algebra - Khan Academy

Explore an advanced linear algebra concept in this 22-minute video lesson from Khan Academy. Learn how to determine the transformation matrix for a projection onto a subspace by first calculating the matrix for the projection onto the subspace's orthogonal complement. Dive into the intricacies of orthogonal projections, a crucial topic in linear algebra that builds upon previous lessons on subspace projection matrices. Gain insights into multi-dimensional mathematical reasoning and its applications in science and engineering fields. This free, in-depth tutorial is part of Khan Academy's comprehensive linear algebra course, which covers topics such as matrices, vectors, vector spaces, transformations, and eigenvectors/values.

Another example of a projection matrix | Linear Algebra | Khan Academy