Redundancy in Question about Linear Transformations

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Discussion Overview

The discussion revolves around a question regarding linear transformations of rank 1, specifically examining the implications of equal kernels and images on the commutativity of the transformations. Participants explore the validity of the question's wording and the relationships between the transformations.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant suggests that the question is poorly worded, arguing that if the transformations have rank 1, their images are trivial, leading to an obvious conclusion about their commutativity.
  • Another participant counters that two linear transformations of rank 1 need not have the same image, providing examples of transformations that map to different subspaces.
  • A later reply reiterates the earlier point about the trivial subspace having a null basis and zero dimension, expressing a moment of realization about this concept.
  • One participant seeks to understand how the equality of kernels could be utilized in the context of the question, proposing to use the Homomorphism theorem and exploring the implications of the rank condition on the transformations.
  • The same participant attempts to derive expressions for the transformations applied to a vector, suggesting that establishing a relationship between the scalars involved could lead to a proof of commutativity.

Areas of Agreement / Disagreement

Participants express differing views on the clarity and implications of the original question. There is no consensus on the validity of the question's wording or the necessity of the conditions provided.

Contextual Notes

Some participants highlight the dependence of their arguments on the definitions of rank and image, as well as the specific properties of linear transformations. The discussion reflects uncertainty regarding the application of the kernel condition and its relevance to the problem.

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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