Basis of vector spaces over fields

In summary, if two vector spaces have the same basis and are contained in the same overfield, they are equal to each other. However, you cannot prove two fields equal by showing that they have the same basis and are contained in the same overfield, as they may have different multiplication operations.
  • #1
magicarpet512
36
0
If you find the exact same basis for two vector spaces, then is it true that the vector spaces are equal to each other?
 
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  • #2
yes, if B is a basis for V then span(B) = V, and if C is a basis for W, then W = Span ( C ) . If B = C then span(C) = span ( B ) = V = W
 
  • #3
There's some relevant context information that has been left out. e.g. the span of a set doesn't make any sense, although the span of a subset of a particular vector space does.
 
  • #4
to be more specific...
I believe it is correct that Q([tex]\sqrt{a}[/tex],[tex]\sqrt{b}[/tex]) has a basis of {1, [tex]\sqrt{a}[/tex], [tex]\sqrt{b}[/tex], [tex]\sqrt{ab}[/tex]}
and Q([tex]\sqrt{a}[/tex] + [tex]\sqrt{b}[/tex] has a basis of {1, [tex]\sqrt{a}[/tex], [tex]\sqrt{b}[/tex], [tex]\sqrt{ab}[/tex]}.
We know that Q([tex]\sqrt{a}[/tex],[tex]\sqrt{b}[/tex]) = Q([tex]\sqrt{a}[/tex] + [tex]\sqrt{b}[/tex]. Is this true because they have the same basis? Would showing that both of these have the same basis be enough to prove the equality? Does this generalize to any other vector spaces that have the same bases?
 
  • #5
You can't prove two fields equal by proving them equal as vector spaces -- two fields can be equal as vector spaces but have different multiplication operations.

In this case there is a clear overfield, which simplifies things -- e.g. we could use C or the algebraic closure of Q, or even [itex]\mathbf{Q}(\sqrt{a}, \sqrt{b}, \sqrt{a}+\sqrt{b})[/itex].



That said, is there any particular reason why you aren't arguing that each field contains the generators of the other?
 

Related to Basis of vector spaces over fields

1. What is a vector space?

A vector space is a mathematical structure that consists of a set of objects called vectors, which can be added together and multiplied by scalars (usually real numbers), and must satisfy certain axioms such as closure under addition and scalar multiplication.

2. What is the basis of a vector space?

The basis of a vector space is a set of linearly independent vectors that span the entire vector space. This means that any vector in the space can be expressed as a linear combination of the basis vectors.

3. What is the significance of the basis of a vector space?

The basis of a vector space allows us to represent any vector in the space using a unique set of coordinates, making it easier to visualize and manipulate. It also helps us to understand the structure and properties of the vector space.

4. Can a vector space have more than one basis?

Yes, a vector space can have multiple bases. In fact, any vector space with dimension greater than 1 will have infinitely many possible bases.

5. How are vector spaces over different fields different?

The basis of a vector space can vary depending on the field over which the vector space is defined. This means that the set of coefficients used to express a vector in terms of the basis vectors may be different. Additionally, the operations of addition and scalar multiplication may also be defined differently in different fields, leading to different properties and behaviors of the vector space.

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