SVD and Related Topics

Matrix U
Matrix V
Matrix Sigma
Derivation of U from V and Sigma
SVD Pseudoinverse
M*MT is Symmetric
Eigenvalues of Symmetric Matrix are Real Numbers
Eigenvalues of M*MT >= 0
Eigenvectors of Symmetric Matrix are Orthogonal
If Lambda is an Eigenvalue of (MT*M), it is also an Eigenvalue of (M*MT)
If V is an Eigenvector of (MT*M), M*V is an Eigenvector of (M*MT)
Back to Tutorial Directory

Download "Matrix Solver Step by Step" from Apple AppStore here:

Matrix Solver
Matrix Solver
Step by Step

The authors would like to hear your suggestions or comments.
Write to us! (

Keywords: math, learning tools, education, linear algebra, matrix, matrices, proofs, tutorial, SVD, singular value decomposition, pseudoinverse, eigenvalue, eigenvector, symmetric matrix