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Let F be a mapping from $R^3$ to $R^3$ be defined by $F(x_1,x_2,x_3) =(x_1-x_2, x_2-x_3, x_3-x_1)$

A) What are the conditions in order that (a,b,c)$\in Imf$ ?

B) What are the conditions in order that (a,b,c)$\in Ker f$.

Clearly I got for B) (a,b,c)$\in kerf$ when a=b=c.

I m stuck for A).

I want to find a, b ,C satisfying

$x_1 -x_2 =a$, $x_2-x_3=b$ $x_3-x_1=c$.

3 Answers 3

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The matrix of $F$ is $$ A=\begin{bmatrix} 1 & 0 & -1 \\ -1 & 1 & 0 \\ 0 & -1 & 1 \end{bmatrix} $$ and Gaussian elimination gives \begin{align} \begin{bmatrix} 1 & 0 & -1 \\ -1 & 1 & 0 \\ 0 & -1 & 1 \end{bmatrix} &\to \begin{bmatrix} 1 & 0 & -1 \\ 0 & 1 & -1 \\ 0 & -1 & 1 \end{bmatrix} && R_2\gets R_2+R_1 \\ &\to \begin{bmatrix} 1 & 0 & -1 \\ 0 & 1 & -1 \\ 0 & 0 & 0 \end{bmatrix} && R_3\gets R_3+R_2 \\ \end{align} From this we infer that a basis of the image is formed by the first two columns of $A$ and that a basis of $\ker F$ consist of the vector $(1,1,1)$. So a vector $(a,b,c)$ belongs to $\ker F$ if and only if $a=b=c$.

For a vector $(a,b,c)$ to belong to $\operatorname{im}F$ we need the linear system represented by the matrix $$ \begin{bmatrix} 1 & 0 & a \\ -1 & 1 & b \\ 0 & -1 & c \end{bmatrix} $$ has a solution. Again an elimination gives \begin{align} \begin{bmatrix} 1 & 0 & a \\ -1 & 1 & b \\ 0 & -1 & c \end{bmatrix} &\to \begin{bmatrix} 1 & 0 & a \\ 0 & 1 & a+b \\ 0 & -1 & c \end{bmatrix} &&R_2\gets R_2+R_1 \\ &\to \begin{bmatrix} 1 & 0 & a \\ 0 & 1 & a+b \\ 0 & 0 & a+b+c \end{bmatrix} &&R_3\gets R_3+R_2 \\ \end{align} so $a+b+c=0$.

As you see, you don't need to guess. The two eliminations could have been performed together: \begin{align} \left[\begin{array}{ccc|c} 1 & 0 & -1 & a \\ -1 & 1 & 0 & b \\ 0 & -1 & 1 & c \end{array}\right] &\to \left[\begin{array}{ccc|c} 1 & 0 & -1 & a \\ 0 & 1 & -1 & a+b \\ 0 & -1 & 1 & c \end{array}\right] && R_2\gets R_2+R_1 \\ &\to \left[\begin{array}{ccc|c} 1 & 0 & -1 & a \\ 0 & 1 & -1 & a+b \\ 0 & 0 & 0 & a+b+c \end{array}\right] && R_3\gets R_3+R_2 \\ \end{align} giving the same information.

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Hint: What can you say about $a + b + c$ if $(a,b,c) \in {\rm Im \ } f$?

Another hint: you may like to use the fact that the dimension of the image plus the dimension of the kernel equals the dimension of the domain, i.e. three.

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    That means the condition for (a,b,c)$\in im f$ if a+b+C=02017-02-25
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Hint. You can firstly find basis of $Ker(f)$. Then complete this basis to be basis in $\mathbb{R}^3$. And then find image of these completing vectors. They will be a basis of $Im(f)$.