Find the linear transformation

Click For Summary

Homework Help Overview

The discussion revolves around determining whether the linear transformation f : ℝ² → ℝ², defined by f(x,y) = (x+y,y), is an isomorphism. Participants explore the conditions for isomorphism, including injectivity and surjectivity, and consider the implications of finding an inverse transformation.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the conditions under which a linear map is an isomorphism, questioning the uniqueness of solutions for f(x,y) = (u,v) in terms of u and v. There are attempts to derive the inverse transformation and explore examples of linear maps that are not isomorphisms.

Discussion Status

The discussion is active with various perspectives being shared. Some participants provide examples of linear maps that fail to be surjective or injective, while others seek clarification on the definitions and implications of injectivity, surjectivity, and the kernel of a linear transformation.

Contextual Notes

Participants are examining specific examples of linear transformations and their properties, including the dimensions of the kernel and image, and how these relate to the concepts of injectivity and surjectivity. There is an ongoing exploration of definitions and theorems related to linear maps.

  • #31
Dick said:
dim(f(U))=dim(U)-dim(kernel(f)). No, that's not different from what Halls is saying. It's not a definition, it's a theorem.

kernel(f)?
Is it kernel(f(U))?
Why dim(kerF)=1
f(x,y)=(x,0)
(x,0)=(0,0)
x=0
so kerF=0
 
Last edited:
Physics news on Phys.org
  • #32
(0,1) is in the kernel of f.
 
  • #33
Dick said:
(0,1) is in the kernel of f.

How did you find it?
 
  • #34
It found me. f(0,1)=(0,0). I just looked at the definition of f.
 
  • #35
Dick said:
It found me. f(0,1)=(0,0). I just looked at the definition of f.

Sorry, and how will you find it for my example?
f(x,y)=(x+y,y)??
(x+y,y)=(0,0)
or?
 
  • #36
(x+y,y)=(0,0) means x+y=0 and y=0. Solve those linear equations. What's the solution?
 
  • #37
Dick said:
(x+y,y)=(0,0) means x+y=0 and y=0. Solve those linear equations. What's the solution?

yes
x=0
y=0
so the kernel is 0.

I am saying that for (x,0)
(x,0)=(0,0)
so the kernel is 0
cos x=0
 
  • #38
If you are saying for f(x,y)=(x,0) that the kernel is (0,0), then you are wrong. Yes, the equations you get are x=0 and 0=0. There's no y in those equations. That means y can be anything.
 
  • #39
Dick said:
If you are saying for f(x,y)=(x,0) that the kernel is (0,0), then you are wrong. Yes, the equations you get are x=0 and 0=0. There's no y in those equations. That means y can be anything.

R2 tells me that there should be 2 variables, that's why, right?
can I write (x,0), just like x?
in that case R2-> R, right?
 
  • #40
Physicsissuef said:
R2 tells me that there should be 2 variables, that's why, right?
can I write (x,0), just like x?
in that case R2-> R, right?

You want to figure out for what values of x and y that f(x,y)=(x,0)=(0,0). x=0 and y=anything. Period.
 
  • #41
Can I write x instead of (x,0)
so f(x,y)=x instead of f(x,y)=(x,0)?
 
  • #42
You can write anything you please. As long as you know f(x,y)=x and f(x,y)=(x,0) are two different linear maps. Their 'codomains' are different.
 
  • #43
Dick said:
You can write anything you please. As long as you know f(x,y)=x and f(x,y)=(x,0) are two different linear maps. Their 'codomains' are different.

and f(x,0)=(x,0)
f(0,y)=(0,y)
Is not correct right? (about f(x,y)=(x,0) )
it is correct that
f(x,0)=(x,0)
f(0,y)=(0,0)
right?
 
  • #44
Yes, that's right.
 
  • #45
and dim(f(U))=dim(kerf), just in this case, or always??
 
  • #46
Just in this case. Not always. If f(x,y,z)=(x,0,0), dim(f(U))=1 and dim(ker(f))=2.
 
  • #47
Dick said:
Just in this case. Not always. If f(x,y,z)=(x,0,0), dim(f(U))=1 and dim(ker(f))=2.
Ok, thank you very much for the help. I appreciate your efforts to help me. Thanks again.
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 16 ·
Replies
16
Views
2K
  • · Replies 14 ·
Replies
14
Views
4K
Replies
32
Views
4K
  • · Replies 9 ·
Replies
9
Views
9K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
4
Views
4K
Replies
0
Views
352