Isomorphism beetwenn vector space and sub space

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Discussion Overview

The discussion revolves around finding a vector space V and a real subspace U such that there exists a bijective linear map (isomorphism) from U to V. Participants explore the implications of infinite dimensions and the nature of subspaces in the context of linear mappings.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Homework-related

Main Points Raised

  • One participant suggests that if the linear map is bijective, then the dimensions of V and U must be equal, implying both are infinite dimensional.
  • Another participant questions whether U is intended to be a proper subspace of V, noting that V can be isomorphic to itself through the identity map.
  • A third participant mentions that finding an injection from a set to itself that is not surjective is sufficient to demonstrate the relationship between linear maps and vector spaces.
  • One participant clarifies the exercise requirements, emphasizing the need to specify the isomorphism and provide proof.
  • Another participant suggests considering the space of all sequences of real numbers as a potential vector space V, while noting the challenges of defining an isomorphism in this context.

Areas of Agreement / Disagreement

Participants express differing interpretations regarding the nature of the subspace U and whether it must be proper. There is no consensus on the specific choices for V, U, or the linear map f, and the discussion remains unresolved.

Contextual Notes

Participants acknowledge the complexity of infinite-dimensional vector spaces and the implications for defining isomorphisms. There are also references to the lack of a basis in certain infinite-dimensional spaces, which may affect the construction of the isomorphism.

Herbststurm
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Hi,

I have to find a vector space V with a real sub space U and a bijective linear map.

Here my Ideas and my questions:

If the linear map is bijective, than dim V = dim U

Because U is a real sub space the only way to valid this constraint is if the dimension is infinity. I wrote:

U \subseteq V ~ f: U \rightarrow V bijective

dim ~ U = dim ~ V = \infty

U = x_{1}e_{1} + x_{2}e_{2} + x_{i}e_{n} = \sum\limits_{i,n=1}^{\infty} x_{i}e_{n} \ x_{i} \in k, ~ e_{n} \in U, ~ i,n \in \mathbb{N}

V = x_{1}e_{1} + x_{2}e_{2} + x_{j}e_{m} = \sum\limits_{j,m=1}^{\infty} x_{j}e_{m} \ x_{j} \in k, ~ e_{m} \in U, ~ j,m \in \mathbb{N}

\sum\limits_{i,n=1}^{\infty} x_{i}e_{n} = \sum\limits_{j,m=1}^{\infty} x_{j}e_{m} ~ \Leftrightarrow ~ f: U \ \rightarrow V ~ isomorphism

1.) Are my minds up to now correct?

2.) How to go on? Maybe a complete induction? But I have different indices.

Thank you
all the best
 
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I'm assuming you're looking for a proper subspace U, then? (V is a subspace of itself, and there's an obvious isomorphism from V onto V!)

Your idea of going to infinite dimensions is of course correct. But I don't quite understand what you're doing after that. What is your choice of V? Of U? Of f?
 
since linear maps of vector spaces are equivalent to functions on their bases, and every set is a basis of some vector space, it suffices to find an injection from a set to itself which is not surjective.
 
Hi,

thanks for help. Maybe it is a good idea if I quote the exercise:

Find a vector space V and a real sub vector space U in V such that a linear map f from U to V is isomorph. Specify the isomorphism and proof you statement.

That are all informations in the exercise.

greetings
 
Technically, the exercise doesn't say that U is a proper subspace of V, so you could use the identity map as your isomorphism. But that's probably not what they're asking for ;)

What's the simplest infinite vector space you can think of? For example, let V be the space of all sequences of real numbers, and look at any infinite-dimensional subspace. (Unfortunately in this case V has no basis (it has no spanning set) so you have to define the isomorphism explicitly, but if you pick your subspace properly then it will still be easy. Alternatively, let V be the space of all real sequences with finitely many nonzero terms; this space has a basis.)
 
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