Isomorphism: subspace to subspace?

In summary, the conversation discusses a mapping from P2 (polynomials of degree two or less) to M2(R) (the set of 2x2 real matrices) with a basis of three independent matrices, making its dimension 3. The question is whether this mapping can be an isomorphism on the subspace. The participants consider different methods for checking this, including checking the dimension of the range and finding the matrix of the transformation.
  • #1
BeRiemann
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Homework Statement


We're looking at a mapping from P2 (polynomials of degree two or less) to M2(R) (the set of 2x2 real matrices). The nuance here is that the transformation into the matricies is such that its basis consists of only three independent matrices, making its dimension 3. This means that our transformation maps from P2 (dim = 3) to M2(r) (dim = 3 in this case)
Can a mapping to a subspace make the transformation an isomorphism?


Homework Equations





The Attempt at a Solution

 
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  • #2
Yes, this mapping might be an isomorphism on the sibspace. Do you know whether it is surjective?? This is already enough for showing it an isomorphism.

Indeed: if V and W both have equal dimension then a map [itex]T:V\rightarrow W[/itex] is an isomorphism if and only if it is surjective and linear (or injective and linear). This is the alternative theorem.
 
  • #3
The transformation itself is
P2 →M2(ℝ)
T(ax2 + bx + c) → Matrix(a11 = -b-a, a12 = 0, a21 = 3c-a, a22 = -2b)
 
Last edited:
  • #4
Yes, so is the range three dimensional??
 
  • #5
Yes, the range itself is a three dimensional subspace of the four dimension space of 2x2 real matrices. I'm just not sure if it's an isomorphism.
 
  • #6
What is left to check for it to be an isomorphism??
 
  • #7
Well we need to know Dim(V) = Dim(W), but what I'm curious about is if we take the dimension from the general mapping P2 to M2(R) or from the actual transformation.
We're not actually onto if we consider the general mapping, but we're onto if we consider the subspace mapping.

The other way to check would be finding the matrix of the transformation and seeing if it's invertible, but I've had no luck with that.
 
  • #8
I'm still at a loss with this problem :/
 

Related to Isomorphism: subspace to subspace?

1. What is isomorphism?

Isomorphism is a mathematical concept that describes a one-to-one correspondence between two mathematical structures. In the context of linear algebra, it refers to a linear transformation that preserves the structure and properties of a vector space.

2. What is a subspace?

A subspace is a subset of a vector space that satisfies all the properties of a vector space. It is closed under vector addition and scalar multiplication, and contains the zero vector.

3. How is isomorphism related to subspaces?

Isomorphism allows us to establish a one-to-one correspondence between two vector spaces, including subspaces. This means that the subspaces share the same structure and properties, making them essentially the same space.

4. How do you determine if two subspaces are isomorphic?

To determine if two subspaces are isomorphic, we need to show that there exists a linear transformation between them that preserves the structure and properties of the vector space. This can be done by showing that the linear transformation is one-to-one and onto, and that it preserves vector operations (addition and scalar multiplication).

5. What is the significance of isomorphism in linear algebra?

Isomorphism is an important concept in linear algebra because it allows us to study and understand different vector spaces by relating them to each other. It also helps us to simplify and generalize mathematical concepts by showing that they are essentially the same in different contexts.

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