- #1
Bertrandkis
- 25
- 0
Question 1
Let T: P2 -> M22 be a linear transformation such that
[tex]
T(1+t)=\left[\begin{array}{cc}1&0\\0&0\end{array}
\right];[/tex]
[tex]
T(t+t^{2})=\left[\begin{array}{cc}0&1\\1&0\end{array}
\right];[/tex]
[tex]
T(1+t^{2})=\left[\begin{array}{cc}0&1\\0&1\end{array}
\right];[/tex]
Then find[tex] T(1),T(t),T(t^{2})[/tex]
My attempt
All I know is that [tex] 1,t,t^{2}[/tex] are basis of P2, what do I do next?
How do I find them from given matrices?
Question 2
let dim(v)=n and dim(W)=m and P:V->W be a linear transformation, i.e P(v)=0 for all v in V. Show that the matrix of P with respect to any bases for V and W is the mxn zero matrix.
My attempt
Let S be a basis of V S={v1,v2,...vn}
Let v a vector in v
[tex]v=c1v1+c2v2+ ...cnvn[/tex]
[tex]P(v)=c1w1+c2w2+ ...+cnwm=0[/tex]
Because vectors of S are linearly independant c1,c2 ... cn are all 0
So the resultant matrix of P is a zero matrix
Question 3
Let L:V->W be a linear transformation. show that L is one to one if and only if dim(range L)=dim(V)
My attempt:
We know that dim(V)=dim(range L)+dim(ker L) (1)
if dim(V)>dim(range L) then dim(ker L) is not 0 and L is not One to one
if dim(V)=dim(range L) then dim(V)-dim(range L) = dim(ker L)
and dim(ker L)=0 hence L is one to one.
Let T: P2 -> M22 be a linear transformation such that
[tex]
T(1+t)=\left[\begin{array}{cc}1&0\\0&0\end{array}
\right];[/tex]
[tex]
T(t+t^{2})=\left[\begin{array}{cc}0&1\\1&0\end{array}
\right];[/tex]
[tex]
T(1+t^{2})=\left[\begin{array}{cc}0&1\\0&1\end{array}
\right];[/tex]
Then find[tex] T(1),T(t),T(t^{2})[/tex]
My attempt
All I know is that [tex] 1,t,t^{2}[/tex] are basis of P2, what do I do next?
How do I find them from given matrices?
Question 2
let dim(v)=n and dim(W)=m and P:V->W be a linear transformation, i.e P(v)=0 for all v in V. Show that the matrix of P with respect to any bases for V and W is the mxn zero matrix.
My attempt
Let S be a basis of V S={v1,v2,...vn}
Let v a vector in v
[tex]v=c1v1+c2v2+ ...cnvn[/tex]
[tex]P(v)=c1w1+c2w2+ ...+cnwm=0[/tex]
Because vectors of S are linearly independant c1,c2 ... cn are all 0
So the resultant matrix of P is a zero matrix
Question 3
Let L:V->W be a linear transformation. show that L is one to one if and only if dim(range L)=dim(V)
My attempt:
We know that dim(V)=dim(range L)+dim(ker L) (1)
if dim(V)>dim(range L) then dim(ker L) is not 0 and L is not One to one
if dim(V)=dim(range L) then dim(V)-dim(range L) = dim(ker L)
and dim(ker L)=0 hence L is one to one.