Linear transformation, isomorphic

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Homework Help Overview

The discussion revolves around proving that a linear transformation defined by an invertible matrix is an isomorphism. The transformation L: Mn,n → Mn,n is given by L(A) = AB, where B is an invertible n x n matrix. Participants are exploring the conditions under which L is one-to-one and onto.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the need to show that L is both one-to-one and onto, with some suggesting that proving one condition suffices due to the equal dimensions of the vector spaces involved. There are attempts to analyze the kernel of L and its implications for the isomorphism. Questions arise about the significance of the invertibility of matrix B and its relation to the linear independence of rows and columns.

Discussion Status

Some participants have provided guidance on how to approach proving the one-to-one nature of L, while others are exploring different methods to establish the same. There is an ongoing examination of the implications of invertibility and the conditions required for the kernel of L.

Contextual Notes

Participants are considering the properties of invertible matrices and their role in linear transformations, particularly in relation to the kernel and the implications for isomorphism. There is a recognition of the need to clarify foundational concepts related to linear transformations.

karnten07
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Homework Statement



Let B be an invertible n x n matrix. Prove that the linear transformation L: Mn,n [tex]\rightarrow[/tex] Mn,n given by L(A) = AB, is an isomorphism.

The Attempt at a Solution



I know to show it is an isomorphism i need to show that L is both onto and one-to-one.

By the theorem that says:

Let T:V[tex]\rightarrow[/tex]W be a linear transformation with vector spaces V and W both of dimension n. Then T is one-to-one if and only if it is onto.

To prove both conditions needed for an isomorphism i can just prove it is one-to-one as in this case, 'V' and 'W' are the same dimension and so proving L is one-to-one also proves it is onto.

To prove it is one-to-one, i need to determine the kernel of L and show that it is {0}. To do this i need to use the fact that B is an invertible n x n matrix and L(A)=AB.

I need some guidance on how to use these features to show the kernel of L os {0}?
Thanks in advance
 
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well suppose L(A) = L(C), so AB = CB, then ...some stuff... implies A = C, so L is 1-1, you can fill in the missing step

your way, suppose L(A) = 0, so AB = 0, so ...some stuff... implies A = 0, so kerL = {0} so it's 1-1, again you can fill in the missing stepnote the missing step is the same in both approaches
 
Last edited:
ircdan said:
well suppose L(A) = L(C), so AB = CB, then ...some stuff... implies A = C, so L is 1-1, you can fill in the missing step

your way, suppose L(A) = 0, so AB = 0, so ...some stuff... implies A = 0, so kerL = {0} so it's 1-1, again you can fill in the missing step


note the missing step is the same in both approaches

Does it have something to do with the fact that the rows and columns of the invertible matrices are linearly independent and so the kernel must be 0 because of this? Or do i have to use notation to do with the linear transformation conditions? Any more help would be greatly appreciated. Thanks
 
karnten07 said:
I know to show it is an isomorphism i need to show that L is both onto and one-to-one.
You're overthinking it. In this case, I think it would be easier to directly prove it's an isomorphism, rather than use that indirect method.
 
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If Ax= 0 and A is invertible, then x= ?
 
HallsofIvy said:
If Ax= 0 and A is invertible, then x= ?

I assume that x =0, but what is the significance of A being invertible?
 
karnten07 said:
I assume that x =0, but what is the significance of A being invertible?

you don't assume that x=0. remember, you need to show that IF Ax = 0 THEN x=0. the significance of A being invertible is that, in general, a matrix times a non-zero vector could be the zero vector. for example, if B = [itex]\left(\begin{array}{cc} 1 & 0 \\ 0 & 0 \end{array}\right)[/itex] and [itex]x = \left(\begin{array}{c} 0 \\ 1 \end{array}\right)[/itex] then Bx = 0. notice, of course, that B is not invertible though.
 
If Ax= 0, and A is invertible, how would you solve the equation? If you don't know what A being invertible has to do with the solution to this equation, then you need to go back and review the basics of linear transformations.
 

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