Dimension of the image of a linear transformation dependent on basis?

dane502
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First of all I would like to wish a happy new year to all of you, who have helped us understand college math and physics. I really appreciate it.

Homework Statement



Determine the dimension of the image of a linear transformations f^{\circ n}, where n\in\mathbb{N} and f:\mathbb{R}^4\to\mathbb{R}^4 where
f(\underline{x})=(\underline{x}\cdot\underline{a_1}) \underline{a_2} +<br /> (\underline{x}\cdot\underline{a_2}) \underline{a_3} +<br /> (\underline{x}\cdot\underline{a_3}) \underline{a_4}

and
<br /> \underline{a_1} =<br /> \begin{pmatrix}<br /> 1 \\<br /> 1 \\<br /> 0 \\<br /> 0 <br /> \end{pmatrix}<br /> ,<br /> \underline{a_2} =<br /> \begin{pmatrix}<br /> 0 \\<br /> 0 \\<br /> 2 \\<br /> 0<br /> \end{pmatrix}<br /> ,<br /> \underline{a_3} =<br /> \begin{pmatrix}<br /> 0 \\<br /> 0 \\<br /> 0 \\<br /> 1 <br /> \end{pmatrix}<br /> ,<br /> \underline{a_4} =<br /> \begin{pmatrix}<br /> 1 \\<br /> -1 \\<br /> 0 \\<br /> 0<br /> \end{pmatrix}<br />

Homework Equations



The matrix representation of f with regards to the natural basis is

<br /> \underline{\underline{C}}=<br /> \begin{pmatrix}<br /> 0&amp;0&amp;0&amp;1\\<br /> 0&amp;0&amp;0&amp;-1\\<br /> 2&amp;2&amp;0&amp;0\\<br /> 0&amp;0&amp;2&amp;0<br /> \end{pmatrix}<br />

but with regards to the basis \mathcal{A} = (\underline{a_1},\ldots,\underline{a_4}) the matrix representation of f:\mathcal{A}\to\mathcal{A} is

<br /> \underline{\underline{A}} =<br /> \begin{pmatrix}<br /> 0 &amp; 0 &amp; 1 &amp; 0 \\<br /> 2 &amp; 0 &amp; 0 &amp; 0 \\<br /> 0 &amp; 4 &amp; 0 &amp; 0 \\<br /> 0 &amp; 0 &amp; 1 &amp; 0 \\<br /> \end{pmatrix}<br />

The Attempt at a Solution



But the rank of a matrix equals the dimension of the image of the corresponding transformation. However, \text{Rk}(\underline{\underline{A}}^n) = \text{Rk}(\underline{\underline{C}}^n) only for n=1, which puzzles me for two reasons. Firstly, because I cannot solve problem. Secondly, because it implies that the dimension of the image of a linear transformation depends on the basis, which contradicts my "visualization" of changes of basis.
 
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I think the matrix A is incorrect. Specifically, I don't think that the third column is correct...
 
micromass said:
I think the matrix A is incorrect. Specifically, I don't think that the third column is correct...

Thanks for your fast response - Your right. The entry in column 3 row 1 should be a 0 and not a 1.
Which makes <br /> \text{Rk}(\underline{\underline{A}}^n) = \text{Rk}(\underline{\underline{C}}^n)<br /> for all <br /> n\in\mathbb{N}<br />.

Would someone care to comment on whether or not the dimension of the image of a linear transformation (or rank of its matrix representation) depends on the basis being used in general?
 
Well, the rank of a linear transformation does not depend on the basis. So in this case, you would know immediately that you made a mistake.
Also the kernel of a transformation does not depend on the basis...
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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