Question 1
Which statement best describes a basis for a vector space?
Question 2
For a square matrix $A$, which statement describes an eigenvector $v$?
Question 3
Why is row-reducing an augmented matrix useful when solving a system of linear equations?
Question 4
Which property must a function $T$ satisfy to be a linear transformation?
Question 5
What does it mean for a set of vectors to be orthonormal?
