Let's suppose that a matrix has a singular value decomposition where
What is the shape of ; that is, how many rows and columns does have?
Suppose we write a three-dimensional vector as a linear combination of right singular vectors: We would like to find an expression for .
To begin, .
Now .
And finally, .
To summarize, we have .
What condition on , , and must be satisfied if is a solution to the equation ? Is there a unique solution or infinitely many?
Remembering that and are linearly independent, what condition on , , and must be satisfied if ?
How do the right singular vectors provide a basis for , the subspace of solutions to the equation ?
Remember that is in if the equation is consistent, which means that for some coefficients and . How do the left singular vectors provide an orthonormal basis for ?
Remember that is the dimension of the column space. What is and how do the number of nonzero singular values determine ?
Austin, Understanding Linear Algebra, §7.4 Singular Value Decompositions, Activity 7.4.4