MHB Redundancy in Question about Linear Transformations

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The discussion centers on a question regarding linear transformations of rank 1 and their properties. It argues that if two such transformations have equal kernels and images, then they commute, but questions the wording of the problem, suggesting that the image of rank 1 transformations is trivially zero. A counterexample is provided to illustrate that two rank 1 transformations can have different images. The participant seeks clarification on how the equality of kernels can be applied to the problem, considering the implications of the Homomorphism theorem. The conversation highlights confusion about the trivial subspace and its properties in the context of linear transformations.
Sudharaka
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Hi everyone, :)

Take a look at this question.

Show that if two linear transformations \(f,\,g\) of rank 1 have equal \(\mbox{Ker f}=\mbox{Ker g},\,\mbox{Im f}=\mbox{Im g},\) then \(fg=gf\).

Now the problem is that I feel this question is not properly worded. If the linear transformations have rank = 1 then it is obvious that \(\mbox{Im f}=\mbox{Im g}=\{0\}\). So restating that is not needed. Don't you think so? Correct me if I am wrong. If I am correct the answer is also obvious. Since the image space of the linear transformations contain only the identity element, \(fg=gf\).
 
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A linear transformation of rank 1 maps to a 1-dimensional subspace of the co-domain (which is isomorphic to the underlying field, at least as a vector space). The trivial subspace $\{0\}$ has null basis (and thus 0 dimension), as it is ALWAYS a linearly dependent set.

Two such functions need not have the same image, consider $f,g:\Bbb R^2 \to \Bbb R^2$:

$f(x,y) = (x,0)$

$g(x,y) = (0,y)$.
 
Deveno said:
A linear transformation of rank 1 maps to a 1-dimensional subspace of the co-domain (which is isomorphic to the underlying field, at least as a vector space). The trivial subspace $\{0\}$ has null basis (and thus 0 dimension), as it is ALWAYS a linearly dependent set.

Two such functions need not have the same image, consider $f,g:\Bbb R^2 \to \Bbb R^2$:

$f(x,y) = (x,0)$

$g(x,y) = (0,y)$.

Thanks very much. I don't know, but somehow I have forgotten that the trivial subspace has null basis and zero dimension. :o Back to the square one.
 
Hi everyone, :)

Do you have any ideas how to use the fact that \(\mbox{Ker f}=\mbox{Ker g}\) in this question? I am finding it hard to see how this fact could be connected to the question. My initial thought was to use the Homomophism theorem for vector spaces, however I don't see how it could be linked. Let me write down what I did for the moment,

It is given that, \(\mbox{rank f} = \mbox{rank g} = 1\)

Then, \(\mbox{Im f} = \mbox{Im g} = <u>\) where each element of I am f and I am g can be written as a scaler multiple of \(u\). Now consider \(fg(v)\) and \(gf(v)\) for any \(v\in\mbox{Im f}=\mbox{Im g}\).

\[fg(v)=f[g(v)]=f(ku)=kf(u)=(kl)u\]

where \(k\mbox{ and }l\) are scalers. Similarly,

\[gf(v)=(mn)u\]

Therefore, \(fg(v)=\lambda \,gf(v)\) where \(\lambda = \lambda (v)\)

What I feel is that if I could use the fact that \(\mbox{Ker f}=\mbox{Ker g}\) then I might be able to show that \(\lambda=1\). What do you think? :)
 
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