Is T-1(U) a Subspace When U is a Subspace in W?

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Homework Help Overview

The discussion revolves around the properties of the preimage of a subspace under a linear transformation, specifically examining whether T-1(U) is a subspace of V when U is a subspace of W. The original poster seeks to understand the implications of U being a subspace and the characteristics of T-1(U).

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the necessary conditions to prove that T-1(U) is a subspace, including the zero vector property, closure under addition, and closure under scalar multiplication. Questions arise about the specific properties that need to be verified.

Discussion Status

Participants are actively exploring the properties of T-1(U) and have identified key aspects to prove. There is a focus on understanding the zero vector inclusion and the implications of linear transformations on subspaces. Some participants are clarifying definitions and relationships between the transformation and the subspace.

Contextual Notes

There is an emphasis on the definitions of linear transformations and subspaces, as well as the specific case when U is the zero vector subspace. The discussion includes references to the kernel of the transformation.

trojansc82
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Homework Statement


Let T: V --> W be a linear transformation and let U be a subspace of W. Prove that the set T-1 (U) = {v E V: T (v) E U} is a subspace of V. What is T-1 if U = {0}?


Homework Equations





The Attempt at a Solution



Since U is a subspace, k(v) = ku. Also, if u and v are in U, u + v lies in U. Therefore, any inverse linear transformation of a vector within u will lie in the subspace U.
 
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There are three things to prove about [tex]T^{-1}(U)[/tex], can you tell me what those things are?
 
1. T-1 a one to one transformation.

2. Closure under addition

3. Closure under scalar multiplication
 
trojansc82 said:
1. T-1 a one to one transformation.

2. Closure under addition

3. Closure under scalar multiplication

1 isn't always true. So, that is incorrect. What I was looking for was:

1) It contains the zero vector

2&3 are correct.

So, start with (1), try to prove that [tex]0\in T^{-1}(U)[/tex].
 
For vector u in T-1(U), 0u = 0. (zero vector property).
 
trojansc82 said:
For vector u in T-1(U), 0u = 0. (zero vector property).

Correct, but I don't see how that has to do with anything. By definition, we have that

[tex]T^{-1}(U)=\{v\in V~\vert~T(v)\in U\}[/tex]

Thus, we have [tex]v\in T^{-1}(U)~\Leftrightarrow~T(v)\in U[/tex]

So, to prove that [tex]0\in T^{-1}(U)[/tex], the statement above shows that it is sufficient to show that [tex]T(0)\in U[/tex]. Do you see why this is the case?
 
How would I proceed with scalar multiplication and closure under addition? The same process?
 
Yes, it's exactly the same thing!
 
trojansc82 said:

Homework Statement


Let T: V --> W be a linear transformation and let U be a subspace of W. Prove that the set T-1 (U) = {v E V: T (v) E U} is a subspace of V. What is T-1 if U = {0}?
The question is asking you to determine the set of all u such that T(u)= 0. There is a specific name for that set!
 
  • #10
HallsofIvy said:
The question is asking you to determine the set of all u such that T(u)= 0. There is a specific name for that set!

Yeah, the kernel.
 

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