Is This Matrix Both Onto and One-to-One?

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Homework Help Overview

The discussion revolves around determining whether a given matrix represents a linear transformation that is both onto and one-to-one. The matrix in question is a 3x3 matrix, and participants are exploring the implications of its properties in the context of linear transformations.

Discussion Character

  • Conceptual clarification, Assumption checking, Mixed

Approaches and Questions Raised

  • The original poster attempts to analyze the matrix's properties by examining the kernel and image of the transformation. They question the relationship between being one-to-one and onto, particularly in the context of their findings about the kernel. Other participants discuss the implications of changing the domain and range of the transformation, and whether a transformation can still be onto if it is not one-to-one.

Discussion Status

Participants are actively engaging with the concepts of linear transformations, questioning assumptions about the relationship between one-to-one and onto properties. Some guidance has been offered regarding the definitions of onto and one-to-one transformations, and the implications of changing the domain or range of the function are being explored.

Contextual Notes

There is a discussion about the specific mapping of the matrix and its implications when considering transformations from different vector spaces, such as from R4 to R3 versus R3 to R3. The original poster expresses uncertainty about the consistency of their system based on chosen values for parameters.

Arnoldjavs3
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Homework Statement


Say I have a matrix:

[3 -2 1]
[1 -4 1]
[1 1 0]

Is this matrix onto? One to one?

Homework Equations

The Attempt at a Solution


I know it's not one to one. In ker(T) there are non trivial solutions to the system. But since I've confirmed there is something in the ker(T), does this indicate that it is also not onto as well? I know that being an onto transformation is the Im(T) where it represents all transformed vectors.

The reduced matrix I got was this:
[ 1 0 1/5 | c-b/5]
[0 1 -1/5 | b/5]
[0 0 0 | a - b ]

Can 0 = a-b ever? If I put in random values for a,b,c the system will be inconsistent usually.
 
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You should be aware that a linear transformation ##T: V \rightarrow V## is one-to-one if and only if it is onto.
 
JonnyG said:
You should be aware that a linear transformation ##T: V \rightarrow V## is one-to-one if and only if it is onto.

Let's assume that it was from R4 -> R3. What now? It should never be one-to-one in that case, but can it still be onto?
 
Yes it can. Take for example, ##T(x,y,z,w) = T(x,y,z,0)##.

But in any case, your transformation is from ##\mathbb{R}^3## to ##\mathbb{R}^3##
 
Arnoldjavs3 said:
Let's assume that it was from R4 -> R3. What now? It should never be one-to-one in that case, but can it still be onto?

Every function is onto its image, as by definition the "image" is precisely the set mapped to by the function. You have to careful, therefore, when talking about whether a function is onto. Onto refers to whether the function maps to all the "range" of the function. So, you can change a function from onto to not onto or vice versa, simply by changing the nominated range.

A linear transformation from a vector space into itself is onto iff it is one-to-one. But, if you change the nominated range, this is no longer true.

You could, therefore, have phrased your question better. You could have asked:

Say I have a matrix:

[3 -2 1]
[1 -4 1]
[1 1 0]

Does this matrix represent an onto mapping from ##\mathbb{R}^3## to iself?

Note that the property of being "one to one" can also be gained or lost by changing the domain of the function. Most often this is used, for example with trig functions, by restricting a function to a smaller domain to make it one-to-one and hence to have an inverse on that domain.
 

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