While not written notes, the comment sections under Strang’s lectures (on the MIT OCW YouTube channel) often contain timestamps and summaries. Some dedicated viewers have created “companion notes” linked in the video descriptions.
Strang’s notes are unique for their focus on the of a matrix:
Eigenvalue decomposition. This "diagonalizes" the matrix, making it easy to calculate powers like cap A to the k-th power 4. The Singular Value Decomposition (SVD) The climax of the course is the
Connection to 4 subspaces: Error e = b - A x̂ is perpendicular to C(A) So e is in N(A^T)
He connects disparate topics like vector addition, subspaces, and eigenvalues into a single, cohesive narrative. The Core Journey: From Vectors to SVD
