Injective and Surjective linear transformations

Click For Summary

Discussion Overview

The discussion revolves around the properties of linear transformations, specifically focusing on the concepts of injectivity and surjectivity. Participants explore whether a linear map can be injective but not surjective, particularly in the context of finite-dimensional vector spaces.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant questions if a linear map can be injective but not surjective, providing a foundational understanding of the relationship between injectivity, surjectivity, and invertibility in finite-dimensional spaces.
  • Another participant cites the Alternative theorem, stating that for vector spaces of the same dimension, injectivity, surjectivity, and isomorphism are equivalent, but this does not hold for spaces of different dimensions.
  • A different viewpoint introduces a specific example of a projection transformation, arguing that it is possible to have a linear map between spaces of the same dimension that does not satisfy the conditions of the theorem.
  • One participant challenges the notion of invertibility, suggesting that one-to-one mappings can exist between spaces of different dimensions, but emphasizes the importance of whether the transformation itself is that mapping.
  • Another example is provided where a transformation from a 2-dimensional space to a 3-dimensional space is injective but not surjective, illustrating the possibility of such mappings in higher dimensions.

Areas of Agreement / Disagreement

Participants express differing views on the applicability of the Alternative theorem and the nature of injective and surjective mappings, indicating that multiple competing perspectives remain without a clear consensus.

Contextual Notes

Participants acknowledge the limitations of their examples and arguments, particularly regarding the definitions of injectivity and surjectivity in relation to the dimensions of the vector spaces involved.

AntsyPants
Messages
9
Reaction score
0
I was struck with the following question: Is there a linear map that's injective, but not surjective? I know full well the difference between the concepts, but I'll explain why I have this question.

Given two finite spaces [itex]V[/itex] and [itex]W[/itex] and a transformation [itex]T: V→W[/itex] represented by a matrix [itex]\textbf{A}[/itex], we know that [itex]T[/itex] is invertible if and only if there is a one-to-one mapping between spaces, which means, [itex]\textbf{A}[/itex] is invertible.

On the other hand, we know that [itex]T[/itex] is surjective if its image space can generate [itex]W[/itex]. The image space is related with the column space of [itex]\textbf{A}[/itex], so let's consider the system

[itex]\textbf{A v} = \textbf{w}[/itex]

where [itex]\textbf{v}[/itex] and [itex]\textbf{w}[/itex] are the coordinates of an element of [itex]V[/itex] and [itex]W[/itex], respectively. If [itex]\textbf{A}[/itex] is invertible than this system is always possible, meaning we can obtain any element of [itex]W[/itex] from an element of [itex]V[/itex], so [itex]T[/itex] must also be surjective.

Perhaps I didn't formulate this right and I may be doing some mistake somewhere, but it's just a simple curiosity.
 
Last edited:
Physics news on Phys.org
I'm guessing you are using the following Alternative theorem:

Let V and W be vector spaces of the same dimension and let [itex]T:V\rightarrow W[/itex] be linear, then the following are equivalent
1) T is an isomorphism
2) T is injective
3) T is surjective

This only holds for spaces of the same dimension! For spaces not of the same dimension, this is clearly false! (indeed, because the matrix A in that case is not even rectangular)
 
Yes I assumed they were of the same dimension, otherwise it wouldn't be invertible, but I have a problem with your statement. Consider for instance the projection

[itex]T(x,y) = (x,0)[/itex]

[itex]T[/itex] receives a bidimensional vector and also returns one, so[itex]T:R^{2}→R^{2}[/itex]. The spaces are of the same dimension, but don't satisfy any of 1)-3).
 
Last edited:
"T is invertible if and only if there is a one-to-one mapping between spaces, which means, A is invertible."

Not so, actually. There exist one-to-one mappings from ℝ2→ℝ3, just not continuous ones. The point of interest isn't whether one exists, but whether T is that one-to-one mapping. You may have known that and just put the wrong word though.

"The spaces are of the same dimension, but don't satisfy any of 1)-3)."

He said the three are equivalent, not that they are true. What he means is that if anyone of the three hold, then so do the other too. In your example, none of them hold, which is okay.

No back to the original question. Try the map T:V→W, where V is dimension 2 and W is dimension 3, defined by

T(x,y) = (x,y,0).

It's essentially the identity map into the bigger space, so it's injective. However, since W is higher dimension, there's no way for it to be a surjection.
 
AntsyPants said:
Consider for instance the projection

[itex]T(x,y) = (x,0)[/itex]

[itex]T[/itex] receives a bidimensional vector and also returns one, so[itex]T:R^{2}→R^{2}[/itex]. The spaces are of the same dimension, but don't satisfy any of 1)-3).
Right. But to say that the statements 1-3 are equivalent is to say that either they're all true or they're all false. So your example doesn't contradict what micromass said.
 

Similar threads

  • · Replies 0 ·
Replies
0
Views
1K
  • · Replies 3 ·
Replies
3
Views
3K
Replies
5
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
3
Views
3K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 6 ·
Replies
6
Views
5K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 25 ·
Replies
25
Views
4K