Showing that the quotient space is isomorphic to the field it's over

Click For Summary

Homework Help Overview

The discussion revolves around the properties of a linear map and its relationship to quotient spaces in the context of vector spaces and fields. Participants are exploring the isomorphism between the quotient space \( V/\text{Ker}(f) \) and the field \( F \) through the function \( f \), examining conditions for well-definedness, linearity, injectivity, and surjectivity.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss defining the function \( \phi \) and question its well-definedness. There are considerations of the dimensions of the vector space \( V \) and the implications of \( f \) being non-zero. Some participants express uncertainty about the injectivity and surjectivity of \( \phi \), raising questions about the nature of the kernel and the image of \( f \).

Discussion Status

The discussion is active, with participants providing insights and questioning assumptions. Some have offered guidance on proving properties of the map \( \phi \), while others are still grappling with the implications of the definitions and conditions presented in the problem.

Contextual Notes

There is a noted ambiguity regarding the dimensionality of the vector space \( V \) and the nature of the linear map \( f \). Participants are also considering the implications of \( f \) mapping certain vectors to zero and the resulting impact on the quotient space.

jdinatale
Messages
153
Reaction score
0
I wasn't
 
Last edited:
Physics news on Phys.org


What if you start by defining ##\phi : V/Ker(f) \rightarrow F## by ##\phi(v + Ker(f)) = f(v)##. Can you show that (1) ##\phi## is well defined, (2) ##\phi## is a linear map; (3) ##\phi## is an injection; (4) ##\phi## is a surjection.
 


If V is really a one dimensional space then there is a basis consisting of a single vector {v}. If f is a linear function then either ker(f)={0} (if f(v) is nonzero) or ker(f)=V (if f(v)=0). Since f is specified to be nonzero ker(f)=V and the quotient space is {0}. I think they likely mean two dimensional.
 
Last edited:


jbunniii said:
What if you start by defining ##\phi : V/Ker(f) \rightarrow F## by ##\phi(v + Ker(f)) = f(v)##. Can you show that (1) ##\phi## is well defined, (2) ##\phi## is a linear map; (3) ##\phi## is an injection; (4) ##\phi## is a surjection.

I'm not sure that it's true that it's well defined because it's not necessarily true that f(u) = f(v):

spelunkadunk2_zps18c9290c.png
 


jdinatale said:
I'm not sure that it's true that it's well defined because it's not necessarily true that f(u) = f(v):

If u+ker(f)=v+ker(f) then u-v is in ker(f).
 


Dick said:
If V is really a one dimensional space then there is a basis consisting of a single vector {v}. If f is a linear function then either ker(f)={0} (if f(v) is nonzero) or ker(f)=V (if f(v)=0). Since f is specified to be nonzero ker(f)=V and the quotient space is {0}. I think they likely mean two dimensional.

I'm pretty sure the f \not= \mathbf{0}_{V \rightarrow f} means that the function isn't f(v) = 0 for all v, but I'm pretty sure that some vector v could have f(v) = 0, right? My book defines f \not= \mathbf{0}_{V \rightarrow f} as the zero map. Couldn't the single basis vector v map to zero?

Dick said:
If u+ker(f)=v+ker(f) then u-v is in ker(f).

I'm really not sure why this is true.
 


jdinatale said:
I'm really not sure why this is true.
What does it mean if ##u + ker(f) = v + ker(f)##? It means that ##u## and ##v## are in the same coset of ##ker(f)##. Therefore, ##u \in v + ker(f)##, so there exists some ##k \in ker(f)## such that ##u = v + k##. Thus ##u - v = k \in ker(f)##.
 
Last edited:


jdinatale said:
I'm pretty sure the f \not= \mathbf{0}_{V \rightarrow f} means that the function isn't f(v) = 0 for all v, but I'm pretty sure that some vector v could have f(v) = 0, right? My book defines f \not= \mathbf{0}_{V \rightarrow f} as the zero map. Couldn't the single basis vector v map to zero?

If the single basis vector maps to zero then all vectors map to zero. In a one dimensional space every vector is a multiple of the basis vector.
 


I think I proved it using Dick's ideas!

spelunkadunk3_zps51c54477.png
 
  • #10


Since ##\mathbb{F}## has dimension one, let ##\{v\}## be a basis for ##V##.
Nowhere does it say that ##V## has dimension one, so "let ##\{v\}## be a basis for ##V##" is an invalid step. All it says is that you can consider ##\mathbb{F}## as a one-dimensional vector space over itself, but this is always true for any field. They're just saying that so it's clear that they are looking for an isomorphism between vector spaces.
 
Last edited:
  • #11


Did you try the approach I listed earlier? It gives you an explicit construction for an isomorphism between ##V/ker(f)## and ##F##:
jbunniii said:
What if you start by defining ##\phi : V/Ker(f) \rightarrow F## by ##\phi(v + Ker(f)) = f(v)##. Can you show that (1) ##\phi## is well defined, (2) ##\phi## is a linear map; (3) ##\phi## is an injection; (4) ##\phi## is a surjection.
 
  • #12


jbunniii said:
Nowhere does it say that ##V## has dimension one, so "let ##\{v\}## be a basis for ##V##" is an invalid step. All it says is that you can consider ##\mathbb{F}## as a one-dimensional vector space over itself, but this is always true for any field. They're just saying that so it's clear that they are looking for an isomorphism between vector spaces.

Ohhhh. That's the part I was reading wrong. Now the question makes more sense.
 
  • #13


jbunniii said:
Did you try the approach I listed earlier? It gives you an explicit construction for an isomorphism between ##V/ker(f)## and ##F##:

Yes, and thank you for the advice. I'm now at the part where I show phi is one-to-one.

I'm not quite sure that it is. We can show one-to-one in three ways.

Suppose \phi(u + ker(f)) = \phi(v + ker(f)). Then f(u) = f(v). We have to show that u = v, which is only true if f is one-to-one, which we don't necessarily know.

Or we can suppose that u + ker(f) != v + ker(f). Then we have to show that f(u) != f(v)

Or we can show that Ker(phi) = {0}. But I'm not even sure that phi(0 + Ker(f)) = 0, because f(0) might not be 0.
 
  • #14


jdinatale said:
Yes, and thank you for the advice. I'm now at the part where I show phi is one-to-one.

I'm not quite sure that it is. We can show one-to-one in three ways.

Suppose \phi(u + ker(f)) = \phi(v + ker(f)). Then f(u) = f(v). We have to show that u = v, which is only true if f is one-to-one, which we don't necessarily know.
No, we don't need ##u = v##. If ##f(u) = f(v)##, then ##f(u) - f(v) = 0##. Now ##f## is linear, so this means that ##f(u - v) = 0##. Therefore what can you say about ##u - v##?
 
  • #15


jbunniii said:
No, we don't need ##u = v##. If ##f(u) = f(v)##, then ##f(u) - f(v) = 0##. Now ##f## is linear, so this means that ##f(u - v) = 0##. Therefore what can you say about ##u - v##?

yes, I understand now, thanks. But the last part is tricky - showing that phi is onto. That requires that f(v) be onto, which we don't know. I let w be an arbitrary element of the field F. We have to find a coset (v + Ker(f)) such that phi[(v + Ker(f)] = w.
 
  • #16


jdinatale said:
yes, I understand now, thanks. But the last part is tricky - showing that phi is onto. That requires that f(v) be onto, which we don't know. I let w be an arbitrary element of the field F. We have to find a coset (v + Ker(f)) such that phi[(v + Ker(f)] = w.

You know there is some vector such that f(v) is nonzero. What kinds of values can f(cv) take as c ranges over the elements of your field?
 
  • #17


Dick said:
You know there is some vector such that f(v) is nonzero. What kinds of values can f(cv) take as c ranges over the elements of your field?
Or, what amounts to the same thing, what can you say about the dimension of the image of ##f##?
 
  • #18


Thanks for the hints jbunniii and Dick, I've now completed the problem
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
7
Views
5K
  • · Replies 37 ·
2
Replies
37
Views
5K
Replies
3
Views
2K
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K