Linear Algebra: Kernel, Basis, Dimensions, injection, surjections

Click For Summary

Homework Help Overview

The discussion revolves around concepts in linear algebra, specifically focusing on the kernel, basis, dimensions, and properties of linear transformations such as injectivity and surjectivity. Participants are examining the original poster's attempts to describe the kernel and its basis, as well as the implications of rank on injectivity.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are discussing how to express the full set of vectors in the kernel and the relationship between rank and injectivity. There are questions about the relevance of the range and alternative methods for determining invertibility.

Discussion Status

The discussion is ongoing, with participants providing insights and clarifications regarding the kernel and injectivity. Some guidance has been offered on expressing the kernel, while questions remain about the implications of rank and the conditions for invertibility.

Contextual Notes

There appears to be some confusion regarding the definitions and implications of injectivity and surjectivity, as well as the use of determinants, which some participants have not yet learned. The original poster has not provided the complete kernel, which may affect the discussion.

WK95
Messages
139
Reaction score
1

Homework Statement


SK85YSZ.jpg


The Attempt at a Solution


uP1S7hh.jpg


Can someone please check my work?
 
Physics news on Phys.org
Some comments:

a) You have not given the entire kernel. You have just produced a basis (or at least a spanning set) of the kernel.

d) I don't see why you care about the range here.

h) You did some calculations to show the map is invertible. OK. But there is a much easier way, do you see which one?
 
For a), I don't know how to write out the full set of vectors. All I know is that the vectors are linear combinations of the basis of the kernel.

I'm not sure what you mean by range for d). Injection refers to one-to-one and a theorem states that if the rank is equal to the number of columns, then it is injective or one-to-one. So if the rank is not equal to the numbers, it is not injective.

For h), I can't think of any easier way or any other way for that matter. Does your method involve determinants? If so, I didn't learn those yet.
 
WK95 said:
For a), I don't know how to write out the full set of vectors. All I know is that the vectors are linear combinations of the basis of the kernel.

Yes, just write that out:

\textrm{Ker}(L) = \{(-2\alpha-\beta,3\alpha,\alpha,\beta)~\vert~\alpha,\beta\in \mathbb{R}\}

I'm not sure what you mean by range for d). Injection refers to one-to-one and a theorem states that if the rank is equal to the number of columns, then it is injective or one-to-one. So if the rank is not equal to the numbers, it is not injective.

OK, this is right. I was thinking of ##L## being injective if and only if ##\textrm{dim}(\textrm{Ker}(L)) = 0##.

For h), I can't think of any easier way or any other way for that matter. Does your method involve determinants? If so, I didn't learn those yet.

If a function is invertible, then it must be both injective and surjective. That's not the case here, is it?
 
micromass said:
If a function is invertible, then it must be both injective and surjective. That's not the case here, is it?

Thanks a lot!
 

Similar threads

Replies
15
Views
2K
Replies
1
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
Replies
4
Views
2K