Can P(F) be written as a direct sum of two subspaces?

In summary: If you're confused about what's going on, it might be helpful to read through the chapter again and try to follow along.In summary, Axler introduced the concept of sums of subspaces and the direct sums. He showed how two subspaces can be considered to be the direct sum of each other. He also mentioned that sometimes it is easier to prove two things are the direct sum of a vector space than to show that they are unique representations.
  • #1
bjgawp
84
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I'm going through Axler's book and just got introduced the concept of sums of subspaces and the direct sums.

Here's one of the examples he has.

Let [tex]P(F)[/tex] denote all polynomials with coefficients in [tex]F[/tex] where F is a field.
Let [tex]U_e[/tex] denote the subspace of [tex]P(F)[/tex] consisting of all polynomials of the form [tex]p(z) = \sum_{i=0}^n a_{2i}z^{2i}[/tex]

and let [tex]U_o[/tex] denote the subspace of P(F) consisting of all polynomials [tex]p[/tex] of the form: [tex]p(z) =
\sum_{i=0}^{n} a_{2i+1}z^{2i+1}[/tex]

You should verify that [tex]P(F) = U_e \oplus U_o[/tex]

Now the other examples he had were kind of trivial (such as [tex]\mathbb{R}^2 = U \oplus W[/tex] where [tex]U = \{ (x,0) | x \in \mathbb{R} \}[/tex] and [tex]W = \{(0,y) | y \in \mathbb{R} \}[/tex]) since we simply showed the uniqueness of each component.

For this one, I get rattled up in notation and not sure where to head. Here's what I was thinking

let [tex]q \in U_e + Uo[/tex]. Then: [tex]q(x) = \underbrace{a_0 + a_2 x^2 + \cdots + a_{2n}x^{2n}}_{\in U_e} + \underbrace{a_1x + a_3x^3 + \cdots a_{2n+1}x^{2n+1}}_{\in U_o}[/tex]

Then I assume [tex]a(x)[/tex] can be represented by different coefficients, say [tex]b_0, b_1, ..., b_n[/tex]. Since both these representations are equal to [tex]a(x)[/tex], then the two representations are equal. Then we equate the coefficients and we arrive at a contradiction.

Sound good? Sorry for the long winded post. I appreciate all the help so far! (And that last thread .. that was pretty silly of me to mess up!)
 
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  • #2
I don't think unique representation of a sum of elements is a good way to go here. Instead you can prove these two things:
[tex]U_e + U_o = P(F)[/tex]

and

[tex] U_e \cap U_o = \emptyset[/tex]

Which requires a far smaller combination of handwaving/slogging through ridiculous details. Often (not always) this is the easier way of proving two things are the direct sum of a vector space. Although what you've posted is pretty good also
 
  • #3
Oh thanks a lot! I just noticed they had this proved a few pages after. Ah well different means to the same goal I suppose.
 
  • #4
Sorry to bring up an old thread. I was just wondering how Office_Shredder's approach works.

Specifically, how do i directly show that [tex]U_e \cap U_o = \bold{0}[/tex] ?

Would I suppose [tex]a(x) \in U_e \cap U_o[/tex] and come to the conclusion that the only way this could occur was if the coefficients were equal to 0?

[tex]a_0 + a_2x^2 + a_4x^4 + \cdots + a_{2n}x^{2n} = a_1 + a_3x^3 + \cdots + a_{2n+1}x^{2n+1}[/tex]

On the LHS, the odd-superscripted coefficents is equal to 0 so the RHS must be equal to 0 as well. And similarly for the even-superscripted coefficients.

Would that be the way to go?
 
  • #5
bjgawp said:
[tex]a_0 + a_2x^2 + a_4x^4 + \cdots + a_{2n}x^{2n} = a_1 + a_3x^3 + \cdots + a_{2n+1}x^{2n+1}[/tex]

On the LHS, the odd-superscripted coefficents is equal to 0 so the RHS must be equal to 0 as well. And similarly for the even-superscripted coefficients.

Would that be the way to go?

Yes, that's right. You are implicitly using the fact that two polynomials are equal if and only if all of their coefficients are equal. This in turn is an immediate consequence of the fundamental theorem of algebra. I'm pretty sure Axler assumes this is "known" even though he doesn't prove it in the book; it's a rather deep result.
 
  • #6
The use of polynomials before he introduces them and giving various theorems about them in chapter 4 is a little confusing. He does actually prove the Fundamental Theorem of Algebra (Thm 4.7), but in terms that I didn't understand, most likely because I haven't taken a class in analysis yet.
 

Related to Can P(F) be written as a direct sum of two subspaces?

What is the direct sum of subspaces?

The direct sum of subspaces is a mathematical operation that combines two or more subspaces to form a new subspace. It is denoted by the symbol ⊕ and is used to represent the sum of two subspaces without any overlap.

How do you determine if two subspaces have a direct sum?

To determine if two subspaces have a direct sum, you need to check if their intersection is equal to 0 and if their union is equal to the dimension of their sum. In other words, if the only vector that exists in both subspaces is the zero vector and the dimension of their sum is equal to the sum of their individual dimensions, then they have a direct sum.

What is the difference between a direct sum and a direct product of subspaces?

The direct sum of subspaces combines two or more subspaces to form a new subspace, while the direct product of subspaces combines two or more subspaces to form a new set of vectors. In other words, the direct sum of subspaces is a subspace, while the direct product is a set of vectors.

How is the direct sum of subspaces useful in linear algebra?

The direct sum of subspaces is useful in linear algebra because it allows us to break down a complicated vector space into smaller, more manageable subspaces. It also helps us to understand the structure and properties of a vector space by studying its smaller subspaces.

Can the direct sum of subspaces be extended to more than two subspaces?

Yes, the direct sum of subspaces can be extended to any number of subspaces. It follows the same principles as combining two subspaces, where the intersection of all subspaces is equal to 0 and the union of all subspaces is equal to the dimension of their sum.

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