Finding a Linear Transformation T: R2 -> R2 with Equal Null Space and Range

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Homework Help Overview

The discussion revolves around finding a linear transformation T: R2 -> R2 such that the null space is equal to the range. Participants explore the implications of the rank-nullity theorem in this context.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the dimensions of the null space and range, questioning what dimensions would allow them to be equal. They consider specific subspaces of R2 and the nature of linear transformations that could satisfy the condition.

Discussion Status

Several participants have offered insights and hints regarding potential transformations. There is an ongoing exploration of different examples and approaches, with some participants expressing uncertainty about their reasoning while others provide suggestions for specific transformations.

Contextual Notes

Participants are working within the constraints of the rank-nullity theorem and are considering specific one-dimensional subspaces of R2. There is a focus on understanding the relationship between the null space and range in the context of linear transformations.

amanda_ou812
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Homework Statement


Give an example of a linear transformation T: R2 -> R2 such that the null space is equal to the range.


Homework Equations


null space and range


The Attempt at a Solution


I have been trying to come up with a solution but I cannot figure it out. What might be a logical methodology.
 
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Well, you know the dimension of the null space plus the dimension of the range must be 2 by the rank nullity theorem. If you want them to be the same subspace, what should the dimension be? That's a good place to start.
 


well dim V is 2 so nullity and rank have to each be 1. I know that N(T) is a subset of V and R(T) is a subset of W so if R(T) = N(T) = a set with one vector and that vector will belog to both V and W...i guess that thought process does not get me closer to a conclusion.
 


amanda_ou812 said:
well dim V is 2 so nullity and rank have to each be 1. I know that N(T) is a subset of V and R(T) is a subset of W so if R(T) = N(T) = a set with one vector and that vector will belog to both V and W...

Ok, so pick anyone dimensional subspace of R^2. What's your favorite? Now cook up a linear transformation that maps any vector into that one dimensional subspace and any vector in that subspace into zero. It helps to be concrete about what the subspace is.
 


I am not really sure if this is what you mean...
so, I choose y=x as my one dim subspace of R2. So I could do T(x, y) = (x,x).
but what do you mean by mapping any vector in this subspace into zero?
If I use this transformation my R(T) = (1, 1) and my N(T) = c (0, 1)...I feel like I am close to getting the answer..
 


amanda_ou812 said:
I am not really sure if this is what you mean...
so, I choose y=x as my one dim subspace of R2. So I could do T(x, y) = (x,x).
but what do you mean by mapping any vector in this subspace into zero?
If I use this transformation my R(T) = (1, 1) and my N(T) = c (0, 1)...I feel like I am close to getting the answer..

There's not just one answer. You are getting close. Here's BIG hint: suppose you pick T(x,y)=(x-y,x-y)? What are the range and null space? Now find another answer, my favorite subspace is x=0. Find a T that works with that.
 
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ahhh... I see now. N(T) = {(x, y) : x=y} or {c (1, 1)} for C in R and R(T) (which is all the outputs that are the same as the inputs - is how I like to think of it) will be (a1, a1) = c (1, 1) geez

I kept trying (x-y, 0) but i never thought to do (x-y, x-y) thanks!
 


Good! And now that you have that, here's another, simpler example: A(x, y)= (y, 0).
 

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