Linear Transformation and Proving Norms

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Homework Help Overview

The discussion revolves around proving that a function defined as ||x|| = ||T(x)|| can be considered a norm on vector space V, given that T is a linear transformation from V to W and is one-to-one. The properties of norms and linear transformations are central to the problem.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss applying the properties of linear transformations and norms to prove the required properties of the new norm. Questions arise regarding the justification of certain properties, such as non-negativity and the triangle inequality.

Discussion Status

Participants are actively engaging with the problem, exploring different properties of norms and linear transformations. Some guidance has been offered regarding the application of known properties, particularly in relation to the triangle inequality and the implications of T being one-to-one.

Contextual Notes

There is an emphasis on the properties of norms and the implications of T being one-to-one, with references to the kernel of T and the definitions of norms on vector spaces. Participants are navigating through the assumptions and definitions relevant to the problem.

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Homework Statement



Suppose T : V --> W is a linear transformation and one-to-one. Show, if ||.|| is a norm on W, then ||x|| =||T(x)|| is a norm on V.
(V and W are vector spaces)

Homework Equations



T is linear, so T(x+y)= T(x) + T(y) and T(ax)= aT(x)
T is one-to-one, so T(x)=T(y) implies that x=y.
||.|| is a norm, so ||v||=0 iff v=0 and is always greater than or equal to 0;
||cv||=c||v||
||v+w|| is less than or equal to ||v||+||w||

The Attempt at a Solution



I know since T is one-one, then ker(T)={0} and since T is linear, then T(0)=0. I tried using the properties of linear transformations to prove the three properties (listed above) of a norm, and I think it can be solved in this way, but I haven't been able to figure it out.
 
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I think it can be solved that way as well. Why don't you try it? To be clear, I'd suggest you write ||x|| to indicate the given norm on W and ||x||'=||T(x)|| to indicate the other norm. So just start with the first property you need to prove. Is ||x||'>=0 with ||x||'=0 only if x=0?
 
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Go through each one and apply the properties that you are given.
For the last one, the triangle inequality, take ||x+y|| = ||T(x+y)|| = ||T(x) + T(y)|| (by linearity). ||.|| is a norm on w, so apply the triangle inequality here.
 
So, for the first property, I know that ker(T)={0} so then
||x||' = ||Tx|| = 0 iff x=0, but how do you know that ||Tx||>=0? Is it just because ||x|| is a norm?

For the second, I know
||cx||' = ||T(cx)|| = ||cT(x)|| = |c|*||Tx|| = |c|*||x||', so this holds.

For the triangle inequality, I know that
||x+y||' = ||T(x+y)|| = ||Tx+Ty||, but how is this <= to ||Tx||+||Ty||? Can you use the fact that ||x+y||<=||x||+||y||? I mean, I know ||x|| is a norm, which is given, but does that mean I can use the triangle inequality from that to show that ||x||' is a norm?
 
I think the answers to both your questions are, yes, we know these things because we are given that ||x|| is a norm on W. The only property where there is really much of anything to prove is the first one, ||x||'=0 means ||T(x)||=0 which is only true if T(x)=0, which is only true if x=0 since T is one to one. Since ker(T)={0} as you've already said.
 
Okay, thanks!
 

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