1. ## Dimension of span(Z)

thanks for the help!

2. First: You can write these polynomials $f_1,\cdots f_5$ with respect to the basis $\left\{1,x,x^2,x^3,x^4\right\}$

Thus we can write:

$f_1 = (1,0,1,1,0)$
$f_2= (2,1,2,0,1)$
$f_3 = (-4,-3,-4,2,-3)$
$f_4=(1,-3,0,1,0)$
$f_5= (13,-1,11,3,5)$

Put these vectors in a matrix and by performing elementary row-operations we get:

\left[ \begin {array}{ccccc} 1&0&1&1&0\\\noalign{\medskip}2&1&2&0&1
\\\noalign{\medskip}-4&-3&-4&2&-3\\\noalign{\medskip}1&-3&0&1&0
\\\noalign{\medskip}13&-1&11&3&5\end {array} \right] \to \left[ \begin {array}{ccccc} 1&0&1&1&0\\\noalign{\medskip}0&1&0&-2&1
\\\noalign{\medskip}0&0&-1&-6&3\\\noalign{\medskip}0&0&0&0&0
\\\noalign{\medskip}0&0&0&0&0\end {array} \right]

We see that span $(Z)\subset \mathcal{P}_4(\mathbb{R})$ is a 3-dimensional subset and:

Now, letting:

$g_1 = 1+x^2+x^3$
$g_2 = x-2x^3+x^4$
$g_3=-x^2-6x^3+3x^4$:

$Y: = \left\{g_1,g_2,g_3 \right\}$ is such that span( $Y$)= span( $Z$)

3. hey thank you for your help.

could u please send the operations you used to row reduce the matrix please.

when i did it i just did row 2 - 2 x row 1, row 3 - 4 x row 1, row 4 - row 1, row 5 - 13 x row 1, row 3 + 3x row 2

so im left with

1 0 1 1 0
0 1 0 -2 1
0 -3 -1 0 0
0 -1 -2 -10 5

i know that i am wrong because im not sure how to row reduce properly i dont think :-(

thanks for you help again.

4. Actually I let Maple calculate the reduced form. I admit it can be quite tedious work, but it's still probably the simplest method.

5. oh right...fair enough lol.

umm i know row 2 is row 2 - 2 x row 1, dont know how the other rows came about?

can anyone help on the row reducing to get the final product.

sorry guys for this.

major thanks to the original helper and anyone else who may be able to help me out :-)

6. i figured it

:-)

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7. Very good. Now find even 2 more linear independant vectors: $v_1,v_2\in\mathbb{R}^5$ , write them on the basis $\left\{1,x,x^2,x^3,x^4\right\}$ to find polynomials $p_1,p_2$

Then together with $Y$ you have a basis for $\mathcal{P}_4(\mathbb{R})$

8. Originally Posted by Dinkydoe
Very good. Now find even 2 more linear independant vectors: $v_1,v_2\in\mathbb{R}^5$ , write them on the basis $\left\{1,x,x^2,x^3,x^4\right\}$ to find polynomials $p_1,p_2$

Then together with $Y$ you have a basis for $\mathcal{P}_4(\mathbb{R})$

9. No, it's the part where they ask to extend $Y$ to find a basis for $\mathcal{P}_4(\mathbb{R})$.

But they can be used to extend Y.

Namely $p_0(x) = 1$ is independant of Y and $p_1(x)= x$ is independant of Y

We can even show that: $Y\cup \left\{p_0(x),p_1(x)\right\}$ is a basis for $\mathcal{P}_4(\mathbb{R})$

You can do this by showing that:

\left[ \begin {array}{ccccc} 1&0&1&1&0\\\noalign{\medskip}0&1&0&-2&1
\\\noalign{\medskip}0&0&-1&-6&3\\\noalign{\medskip}0&1&0&0&0
\\\noalign{\medskip}1&0&0&0&0\end {array} \right]

has rank 5.

10. Originally Posted by Dinkydoe
No, it's the part where they ask to extend $Y$ to find a basis for $\mathcal{P}_4(\mathbb{R})$.

But they can be used to extend Y.

Namely $p_0(x) = 1$ is independant of Y and $p_1(x)= x$ is independant of Y

We can even show that: $Y\cup \left\{p_0(x),p_1(x)\right\}$ is a basis for $\mathcal{P}_4(\mathbb{R})$

You can do this by showing that:

\left[ \begin {array}{ccccc} 1&0&1&1&0\\\noalign{\medskip}0&1&0&-2&1
\\\noalign{\medskip}0&0&-1&-6&3\\\noalign{\medskip}0&1&0&0&0
\\\noalign{\medskip}1&0&0&0&0\end {array} \right]

has rank 5.

Ok now im totally lost. I agree that matrix has rank 5 but where did you get that matrix from? Its different to our row operationed matrix we had before.

11. It's the same matrix with the 3 upper rows:

with $p_0 = (1,0,0,0,0)$ and $p_1 = (0,1,0,0,0)$ instead of the zero-rows.

Where $p_0,p_1$ are the vector representations of $p_1(x), p_2(x)$w.r.t. the basis $\left\{1,x,x^2,x^3,x^4,\right\}$

You want to show that $Y$ is linear independant of $p_1(x),p_2(x)$. You can do that by showing that $g_1,g_2,g_3,p_1,p_2$ are linear independant, that is, the given matrix has rank 5. (meaning, having 5 linear independant rows).

12. oh i see.

i know why i was confused. i disagree with what your final row operated product looks like

i have

1 0 1 1 0

0 1 0 -2 1

0 0 1 6 -3

0 0 0 0 0

0 0 0 0 0

13. You're allways free to disagree with a computer output

I didn't do the calculations, do whatever suits you.

edit: Actually they're the same matrices.