Column space, row space, and null space of a matrix
Finding bases for the column, row, and null space of a matrix, and proving facts such as rank(A) = rank(A^T) and that null(A) is a subspace.
Matrix Theory and Linear Algebra, Column space, row space, and null space of a matrix
6 exercises
Exercise 5.5.3
In this exercise, we use scalars from the field of integers modulo instead of real numbers (see Section an exercise given elsewhere in the book, “Fields”). Determine the rank and nullity and find a basis of the column space, row space, and null space of the following matrix over .
Exercise 5.5.4
Show that if is an -matrix, then is a subspace of .
Exercise 5.5.5
Let be an -matrix. Show that .
Exercise 5.5.6
Show that .
Exercise 5.5.7
For invertible matrices and of appropriate size, show that .
Exercise 5.5.8
Suppose is an -matrix and is an -matrix. Show that
Hint: Consider the subspace and suppose a basis for this subspace is . Let be such that . Now suppose is a basis for , and argue that .
Adapted from Matrix Theory and Linear Algebra © 2017–2026 Peter Selinger, Lyryx Learning, and Ken Kuttler. Licensed under CC BY 4.0. Source: Matrix Theory and Linear Algebra. Imported at revision d74bc3a.