Example of a linear transformation L which is injective but not surj, or vice versa

Click For Summary

Homework Help Overview

The discussion revolves around providing examples of linear transformations in vector spaces, specifically focusing on transformations that are either injective but not surjective or vice versa. The context includes finite and infinite-dimensional vector spaces, with specific transformations like differentiation and integration being considered.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore examples of linear transformations, discussing properties of injectivity and surjectivity. The original poster attempts to provide examples using differentiation and integration in polynomial spaces, while another participant introduces a transformation in \(\mathbb{R}^2\) involving angular coordinates.

Discussion Status

The discussion is active with participants sharing their examples and clarifying concepts related to injectivity and surjectivity. Some guidance is provided through the exploration of specific transformations, although no consensus has been reached on the examples presented.

Contextual Notes

Participants note the relevance of finite versus infinite-dimensional spaces and question the implications of dimension equations in these contexts. There is also a focus on the nature of the images produced by the transformations discussed.

damabo
Messages
53
Reaction score
0

Homework Statement


Give an example of a linear vector space V and a linear transformation L: V-> V that is 1.injective, but not surjective (or 2. vice versa)


Homework Equations



-If L:V-> V is a linear transformation of a finitedimensional vector space, then
L is surjective, L is injective and L is bijective are equivalent
- ker(L)={0} is equivalent with L is injective (in which case ker(L) is 0-dimensional)
-dimV=dim(ker(L))+dim(Im(L)), if (ℝ,V,+),(ℝ,W,+) finite dimensional vector spaces and L maps V on W linearly.

The Attempt at a Solution



I guess that the word finite is the most relevant, so that the equation of the dimensions does not apply for infinitedimensional vector spaces.
an example of an infinitedimensional vectorspace would be (ℝ,ℝ[X],+) if ℝ[X] is a polynomial of infinite degree, with a basis β={1,X,X^2,...,X^n,...}.

so suppose L:ℝ[X]->ℝ[X] is a transformation.
1. example of surjective, but not injective function:
Perhaps D if D is the differential operator such that a_0+a_1X+a_2X^2+... -> a_1 + 2a_2X + ...
not injective: clearly 1 != 2, yet D(1)=D(2)
surjective: choose p in ℝ[X]. p=a_1+2a_2X+3a_2X^2... for certain a_i in ℝ. is there a p_0 in ℝ[X] such that D(p_0)=p? indeed, choose a_0 randomly, and choose a_1,a_2,a_3,... in ℝ. define p_0= a_0+a_1X+a_2X^2+... then clearly p_0 \in ℝ[X], and D(p_0)=p.
 
Physics news on Phys.org


(continued)
2. example of an injective, but not surjective function:
how about I, if I is the integration function, such that I: a_0+a_1X+a_2X^2 ->a_0X + a_1(X^2)/2+ a_2(X^3)/3 + ...
not surjective: is there a p in ℝ[X] such that there is no p_0 in ℝ[X] so that I(p_0)=p (or equivalently D(p)=p_0)?
In other words, is there a p whose derivative is not a real polynomial?
I don't think this is possible.
 


Let V=\mathbb{R}^2. Every vector in such space can be described as \mathbf{v}=(r\cos{\phi},r\sin{\phi}), where r\in[0;\infty)\: \wedge \:\phi\in[0;2\pi). Let:
L:V\rightarrow V;\quad L((r\cos{\phi},r\sin{\phi}))=(r\cos{\frac{\phi}{2}},r\sin{\frac{\phi}{2}})
Due to function f(x)=\frac{x}{2} being injective, L is also injective. Furthermore, because none of L(\mathbf{v}) have \phi > \pi, L is not surjective.
 


none of the L(v) have \phi/2 > \pi ?
 


Ah, yes, sorry, I've written it too quickly. More precisely: none of vectors from L image has angle greater than \pi. Basically the image is a half-plane.
 


ah ok. Get it.
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
1
Views
2K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 10 ·
Replies
10
Views
5K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 21 ·
Replies
21
Views
3K