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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

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6 exercises

Exercise 5.5.3

In this exercise, we use scalars from the field Z5\mathbb{Z}_{5} of integers modulo 55 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 Z5\mathbb{Z}_{5}.

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Exercise 5.5.4

Show that if AA is an m×nm\times n-matrix, then null⁡(A)\operatorname{null}(A) is a subspace of Rn\mathbb{R}^{n}.

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Exercise 5.5.5

Let AA be an m×nm\times n-matrix. Show that col⁡(A)={Au∣u∈Rn}\operatorname{col}(A)=\left\{A\mathbf{u}\mid\mathbf{u}\in\mathbb{R}^{n}\right\}.

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Exercise 5.5.6

Show that rank⁡(A)=rank⁡(AT)\operatorname{rank}(A)=\operatorname{rank}(A^{T}).

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Exercise 5.5.7

For invertible matrices BB and CC of appropriate size, show that rank⁡(A)=rank⁡(BA)=rank⁡(AC)\operatorname{rank}(A)=\operatorname{rank}(BA)=\operatorname{rank}(AC).

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Exercise 5.5.8

Suppose AA is an m×nm\times n-matrix and BB is an n×pn\times p-matrix. Show that

Hint: Consider the subspace col⁡(B)∩null⁡(A)\operatorname{col}(B)\cap\operatorname{null}(A) and suppose a basis for this subspace is {w1,…,wk}\left\{\mathbf{w}_{1},\ldots,\mathbf{w}_{k}\right\}. Let {z1,…,zk}\left\{\mathbf{z}_{1},\ldots,\mathbf{z}_{k}\right\} be such that Bzi=wiB\mathbf{z}_{i}=\mathbf{w}_{i}. Now suppose {u1,…,ur}\left\{\mathbf{u}_{1},\ldots,\mathbf{u}_{r}\right\} is a basis for null⁡(B)\operatorname{null}(B), and argue that null⁡(AB)⊆span⁡{u1,…,ur,z1,…,zk}\operatorname{null}(AB)\subseteq\operatorname{span}\left\{\mathbf{u}_{1},\ldots,\mathbf{u}_{r},\mathbf{z}_{1},\ldots,\mathbf{z}_{k}\right\}.

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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.