Linear Properties of Matrix Multiplication and the Null Space of a Matrix

Problems and solutions in Linear Algebra

Problem 155

Let $A$ be an $m \times n$ matrix.
Let $\calN(A)$ be the null space of $A$. Suppose that $\mathbf{u} \in \calN(A)$ and $\mathbf{v} \in \calN(A)$.
Let $\mathbf{w}=3\mathbf{u}-5\mathbf{v}$.

Then find $A\mathbf{w}$.
 
LoadingAdd to solve later

Sponsored Links


Hint.

Recall that the null space of an $m\times n$ matrix $A$ is a subspace of $\R^n$ defined by
\[ \calN(A)=\{ \mathbf{x}\in \R^n \mid A\mathbf{x}=\mathbf{0}_m\}.\] Here $\mathbf{0}_m$ is the $m$-dimensional zero vector in $\R^m$.

Solution.

Since $\mathbf{u}, \mathbf{v} \in \calN(A)$, we have
\[A\mathbf{u}=\mathbf{0}_m \text{ and } A\mathbf{v}=\mathbf{0}_m,\] where $\mathbf{0}_m$ is the $m$-dimensional zero vector in $\R^m$.

Now using the properties of the matrix multiplication, we have
\begin{align*}
A\mathbf{w}&=A(3\mathbf{u}-5\mathbf{v})\\
&=A(3\mathbf{u})+A(-5\mathbf{v})\\
&=3A\mathbf{u}-5A\mathbf{v}\\
&=3\mathbf{0}_m-5\mathbf{0}_m=\mathbf{0}_m.
\end{align*}
Therefore we obtained
\[A\mathbf{w}=\mathbf{0}_m\in \R^m.\]

Remark.

Note that a map $T:\R^n \to \R^m$ defined by $T(\mathbf{x})=A\mathbf{x}$, where $A$ is an $m\times n$ matrix is a linear transformation.
That is the map $T$ satisfies:

  1. $T(\mathbf{u}+\mathbf{v})=T(\mathbf{u})+T(\mathbf{v})$ for any $\mathbf{u}, \mathbf{v} \in \R^n$, and
  2. $T(c\mathbf{v})=cT(\mathbf{v})$ for any $\mathbf{v}\in \R^n$ and $c \in \R$.

From this point of view, the above problem can be classified into a problem of linear transformation.


LoadingAdd to solve later

Sponsored Links

More from my site

  • Dimension of Null Spaces of Similar Matrices are the SameDimension of Null Spaces of Similar Matrices are the Same Suppose that $n\times n$ matrices $A$ and $B$ are similar. Then show that the nullity of $A$ is equal to the nullity of $B$. In other words, the dimension of the null space (kernel) $\calN(A)$ of $A$ is the same as the dimension of the null space $\calN(B)$ of […]
  • Find a Linear Transformation Whose Image (Range) is a Given SubspaceFind a Linear Transformation Whose Image (Range) is a Given Subspace Let $V$ be the subspace of $\R^4$ defined by the equation \[x_1-x_2+2x_3+6x_4=0.\] Find a linear transformation $T$ from $\R^3$ to $\R^4$ such that the null space $\calN(T)=\{\mathbf{0}\}$ and the range $\calR(T)=V$. Describe $T$ by its matrix […]
  • Basis For Subspace Consisting of Matrices Commute With a Given Diagonal MatrixBasis For Subspace Consisting of Matrices Commute With a Given Diagonal Matrix Let $V$ be the vector space of all $3\times 3$ real matrices. Let $A$ be the matrix given below and we define \[W=\{M\in V \mid AM=MA\}.\] That is, $W$ consists of matrices that commute with $A$. Then $W$ is a subspace of $V$. Determine which matrices are in the subspace $W$ […]
  • Subspace Spanned By Cosine and Sine FunctionsSubspace Spanned By Cosine and Sine Functions Let $\calF[0, 2\pi]$ be the vector space of all real valued functions defined on the interval $[0, 2\pi]$. Define the map $f:\R^2 \to \calF[0, 2\pi]$ by \[\left(\, f\left(\, \begin{bmatrix} \alpha \\ \beta \end{bmatrix} \,\right) \,\right)(x):=\alpha \cos x + \beta […]
  • Intersection of Two Null Spaces is Contained in Null Space of Sum of Two MatricesIntersection of Two Null Spaces is Contained in Null Space of Sum of Two Matrices Let $A$ and $B$ be $n\times n$ matrices. Then prove that \[\calN(A)\cap \calN(B) \subset \calN(A+B),\] where $\calN(A)$ is the null space (kernel) of the matrix $A$.   Definition. Recall that the null space (or kernel) of an $n \times n$ matrix […]
  • The Null Space (the Kernel) of a Matrix is a Subspace of $\R^n$The Null Space (the Kernel) of a Matrix is a Subspace of $\R^n$ Let $A$ be an $m \times n$ real matrix. Then the null space $\calN(A)$ of $A$ is defined by \[ \calN(A)=\{ \mathbf{x}\in \R^n \mid A\mathbf{x}=\mathbf{0}_m\}.\] That is, the null space is the set of solutions to the homogeneous system $A\mathbf{x}=\mathbf{0}_m$. Prove that the […]
  • Idempotent Matrices are DiagonalizableIdempotent Matrices are Diagonalizable Let $A$ be an $n\times n$ idempotent matrix, that is, $A^2=A$. Then prove that $A$ is diagonalizable.   We give three proofs of this problem. The first one proves that $\R^n$ is a direct sum of eigenspaces of $A$, hence $A$ is diagonalizable. The second proof proves […]
  • Quiz 6. Determine Vectors in Null Space, Range / Find a Basis of Null SpaceQuiz 6. Determine Vectors in Null Space, Range / Find a Basis of Null Space (a) Let $A=\begin{bmatrix} 1 & 2 & 1 \\ 3 &6 &4 \end{bmatrix}$ and let \[\mathbf{a}=\begin{bmatrix} -3 \\ 1 \\ 1 \end{bmatrix}, \qquad \mathbf{b}=\begin{bmatrix} -2 \\ 1 \\ 0 \end{bmatrix}, \qquad \mathbf{c}=\begin{bmatrix} 1 \\ 1 […]

You may also like...

Please Login to Comment.

This site uses Akismet to reduce spam. Learn how your comment data is processed.

More in Linear Algebra
Linear algebra problems and solutions
Range, Null Space, Rank, and Nullity of a Linear Transformation from $\R^2$ to $\R^3$

Define the map $T:\R^2 \to \R^3$ by $T \left ( \begin{bmatrix} x_1 \\ x_2 \end{bmatrix}\right )=\begin{bmatrix} x_1-x_2 \\ x_1+x_2 \\...

Close